1 00:00:01,200 --> 00:00:03,920 Speaker 1: Welcome to the Tutor Dixon Podcast. We have one of 2 00:00:03,960 --> 00:00:07,960 Speaker 1: my favorite people with us today. He is a Republican 3 00:00:08,000 --> 00:00:10,840 Speaker 1: candidate for governor of California, Steve Hilton, and he has 4 00:00:10,920 --> 00:00:14,080 Speaker 1: no relation to the Hilton hotels that is kicking Ice 5 00:00:14,160 --> 00:00:16,120 Speaker 1: agents out. Just want to say that upfront. 6 00:00:16,760 --> 00:00:20,439 Speaker 2: I'm very happy to confirm I have no connected. 7 00:00:20,120 --> 00:00:22,520 Speaker 1: Actually, the weird thing is, do you've been happy to say 8 00:00:22,560 --> 00:00:23,840 Speaker 1: I don't have Hilton money? 9 00:00:24,200 --> 00:00:26,880 Speaker 2: Exactly? I always I always joke because people ask me that, 10 00:00:26,920 --> 00:00:28,240 Speaker 2: and I said, well, look, do you think I'll be, 11 00:00:28,440 --> 00:00:31,240 Speaker 2: you know, flogging myself on the road raising money for 12 00:00:31,280 --> 00:00:33,720 Speaker 2: this campaign to save California if I had that kind 13 00:00:33,760 --> 00:00:36,199 Speaker 2: of money. You're right. But by the way, there is 14 00:00:36,200 --> 00:00:39,879 Speaker 2: a funny angle to that, because years ago, when I 15 00:00:39,960 --> 00:00:43,200 Speaker 2: was with Fox and basically every few months, I would 16 00:00:43,200 --> 00:00:46,200 Speaker 2: go to New York to you know, do the shows 17 00:00:46,200 --> 00:00:47,639 Speaker 2: that you have to do from there, like you've done 18 00:00:47,640 --> 00:00:50,320 Speaker 2: any time Outnumbered and those kinds of things, and see 19 00:00:50,320 --> 00:00:52,879 Speaker 2: the the you know, my my friends and colleagues at 20 00:00:52,920 --> 00:00:56,440 Speaker 2: Fox in New York, and I would always stay at 21 00:00:56,480 --> 00:00:59,840 Speaker 2: the Hilton Midtown, which is pretty close to the Fox studios. 22 00:01:00,160 --> 00:01:03,280 Speaker 2: And so as a result of that, I basically signed 23 00:01:03,360 --> 00:01:06,120 Speaker 2: up for their loyalty scheme which I'm now in, which 24 00:01:06,280 --> 00:01:09,240 Speaker 2: means that when we're on the road in California all 25 00:01:09,280 --> 00:01:12,440 Speaker 2: the time, that's where we stay because it's all easy 26 00:01:12,480 --> 00:01:14,440 Speaker 2: you book it through that. I don't stay, I usually 27 00:01:14,480 --> 00:01:16,000 Speaker 2: say at the Hampton in which is part of the 28 00:01:16,000 --> 00:01:17,760 Speaker 2: whole Hilton group. So I don't know. We have to 29 00:01:17,800 --> 00:01:20,200 Speaker 2: reevaluate based. So that's how. 30 00:01:21,080 --> 00:01:23,000 Speaker 1: But you're not the only one saying that. That's the 31 00:01:23,080 --> 00:01:26,080 Speaker 1: interesting thing there's been. I'm kind of like watching the 32 00:01:26,120 --> 00:01:28,839 Speaker 1: storm on Twitter right now as people or ex whatever 33 00:01:28,880 --> 00:01:32,000 Speaker 1: we call it as people are like, Hilton, can you 34 00:01:32,120 --> 00:01:36,240 Speaker 1: confirm these emails are real? They so DHS actually posted 35 00:01:36,280 --> 00:01:40,440 Speaker 1: these emails that came out that went to Ice agents 36 00:01:40,480 --> 00:01:43,480 Speaker 1: who had booked hotels and they said, we've found out 37 00:01:43,520 --> 00:01:46,839 Speaker 1: that you are with Ice, and we don't house Ice 38 00:01:47,120 --> 00:01:50,480 Speaker 1: agents in our hotels, so we've canceled. And sometimes they 39 00:01:50,480 --> 00:01:53,520 Speaker 1: were showing up for the hotel for that night. They 40 00:01:53,520 --> 00:01:55,520 Speaker 1: were telling them, you don't have a reservation anymore. We 41 00:01:55,520 --> 00:01:56,520 Speaker 1: canceled your reservation. 42 00:01:57,200 --> 00:02:00,960 Speaker 2: It's really disgusting. I mean, I mean, they really do 43 00:02:01,080 --> 00:02:02,000 Speaker 2: need to pay a price. 44 00:02:02,280 --> 00:02:05,160 Speaker 1: In what world do you think that email is not 45 00:02:05,200 --> 00:02:06,680 Speaker 1: going to go and you have to say, I mean, 46 00:02:06,920 --> 00:02:09,800 Speaker 1: so maybe this is not Hilton. Maybe this is not 47 00:02:09,840 --> 00:02:12,600 Speaker 1: a Hilton policy, because there are rogue people that do 48 00:02:12,639 --> 00:02:15,119 Speaker 1: things like this. So I will just say I want 49 00:02:15,160 --> 00:02:18,239 Speaker 1: to I want to clarify. We don't know exactly if 50 00:02:18,240 --> 00:02:21,600 Speaker 1: this is just like a certain group, because this actually 51 00:02:21,680 --> 00:02:26,200 Speaker 1: happened in Michigan where after Charlie's death people went to 52 00:02:26,320 --> 00:02:27,440 Speaker 1: like a Kinkos or something else. 53 00:02:27,480 --> 00:02:28,960 Speaker 2: I remember that story. 54 00:02:29,040 --> 00:02:31,560 Speaker 1: Yeah, and the guy was like, we don't We're not 55 00:02:31,600 --> 00:02:35,000 Speaker 1: going to print anything here for Charlie Kirk. But that 56 00:02:35,200 --> 00:02:38,160 Speaker 1: was a rogue incident. So maybe it's the same thing 57 00:02:38,200 --> 00:02:41,720 Speaker 1: with Hilton. But if it's not, Wow, that would be crazy. 58 00:02:42,160 --> 00:02:45,240 Speaker 2: Yes, and I you know, I'm given my name. I 59 00:02:45,280 --> 00:02:49,080 Speaker 2: have a particular focus on zach May making sure it's 60 00:02:49,200 --> 00:02:51,000 Speaker 2: very clear where I stent. By the way, since we're 61 00:02:51,040 --> 00:02:53,200 Speaker 2: talking about it, Tutor, the other thing that people might 62 00:02:53,240 --> 00:02:55,080 Speaker 2: want to know is that it's not then that my 63 00:02:55,280 --> 00:02:57,839 Speaker 2: parents are Hungarian. Both my parents are Hungarian. They were 64 00:02:58,000 --> 00:03:00,960 Speaker 2: they were They fled communism in Hungary and that's why 65 00:03:01,360 --> 00:03:03,720 Speaker 2: I was born in England and they Chack. My dad's 66 00:03:03,760 --> 00:03:06,399 Speaker 2: name was actually Heirchak, which is kind of a complicated 67 00:03:06,480 --> 00:03:09,120 Speaker 2: Hungarian name and they changed it to Hilton because it 68 00:03:09,160 --> 00:03:12,000 Speaker 2: was kind of easy to say and well known. So 69 00:03:12,080 --> 00:03:12,880 Speaker 2: that's the origin. 70 00:03:13,400 --> 00:03:15,560 Speaker 1: That is so cool. I mean it is that's a 71 00:03:15,680 --> 00:03:18,400 Speaker 1: very cool story. And I think I was just talking 72 00:03:18,440 --> 00:03:21,840 Speaker 1: about people who are running for office that don't kind 73 00:03:21,840 --> 00:03:27,000 Speaker 1: of have that history or knowledge of other countries. It's 74 00:03:27,080 --> 00:03:31,320 Speaker 1: hard for me. I come from the manufacturing world. I 75 00:03:31,360 --> 00:03:33,480 Speaker 1: spent a lot of time in Eastern Europe because we 76 00:03:33,480 --> 00:03:36,720 Speaker 1: had partners over there, and I saw the importance of 77 00:03:36,880 --> 00:03:40,560 Speaker 1: having partners in the United States and partners outside of 78 00:03:40,560 --> 00:03:44,000 Speaker 1: the United States. And I say that because we in 79 00:03:44,000 --> 00:03:47,200 Speaker 1: the United States had so many of our manufacturers close 80 00:03:47,280 --> 00:03:50,640 Speaker 1: overnight during Obama, so many, so many of our steel 81 00:03:50,640 --> 00:03:53,440 Speaker 1: foundries closed. You had a great one in Berkeley, California. 82 00:03:53,480 --> 00:03:57,680 Speaker 1: It was fantastic, phenomenal foundry, I mean, a shining star 83 00:03:57,880 --> 00:04:01,720 Speaker 1: in the country, and it closed. They were endlessly harassed 84 00:04:01,760 --> 00:04:06,840 Speaker 1: by protesters who don't understand what founderies actually do. But 85 00:04:07,160 --> 00:04:12,040 Speaker 1: you come from a history of seeing why people flee, 86 00:04:12,160 --> 00:04:16,560 Speaker 1: why people come to other countries. That is so powerful 87 00:04:16,600 --> 00:04:19,760 Speaker 1: when you have a backstory and you understand. That's what 88 00:04:19,800 --> 00:04:23,279 Speaker 1: I want Americans to know is that when you talk 89 00:04:23,320 --> 00:04:25,880 Speaker 1: about a melting pot. Yes we are, and we love 90 00:04:26,000 --> 00:04:29,640 Speaker 1: immigrants who want to be Americans. And that's that is 91 00:04:29,680 --> 00:04:31,320 Speaker 1: like your story, I know. 92 00:04:31,400 --> 00:04:33,680 Speaker 2: And actually I could take you further, and I do. 93 00:04:33,760 --> 00:04:35,880 Speaker 2: I make this point on the campaign shop because so 94 00:04:35,960 --> 00:04:39,120 Speaker 2: it's a double version of that. Actually, because you've got 95 00:04:39,120 --> 00:04:42,320 Speaker 2: communism in Hungary. Most of my family's still in Hungary. 96 00:04:42,440 --> 00:04:44,840 Speaker 2: Now obviously it's not communists anymore. You've got Victor Olband 97 00:04:44,880 --> 00:04:47,400 Speaker 2: who in many like closing the border, you know, very 98 00:04:47,440 --> 00:04:50,160 Speaker 2: close with President Trump. But for most of my childhood 99 00:04:50,200 --> 00:04:52,760 Speaker 2: I would go back it was communist. I saw what 100 00:04:52,760 --> 00:04:54,640 Speaker 2: that was like. I remember, I mean, I know, we 101 00:04:54,800 --> 00:04:57,040 Speaker 2: to wear other things, but I mean, really, these stories 102 00:04:57,080 --> 00:04:59,000 Speaker 2: stick in your mind. I must have been about ten 103 00:04:59,080 --> 00:05:02,880 Speaker 2: or eleven, something like that, and I was on the streets, 104 00:05:02,920 --> 00:05:06,000 Speaker 2: walking around the streets of my hometown, my family's hometown 105 00:05:06,000 --> 00:05:08,960 Speaker 2: in Hungary town called Seged in the south of Hungary. 106 00:05:09,200 --> 00:05:12,000 Speaker 2: You know, it's sort of nice, mid sized town, university town. 107 00:05:12,400 --> 00:05:15,040 Speaker 2: And my two cousins we were walking on the street 108 00:05:15,080 --> 00:05:17,480 Speaker 2: and I don't know, I guess I always had this 109 00:05:17,560 --> 00:05:20,279 Speaker 2: kind of vibe in me, but I was for some 110 00:05:20,360 --> 00:05:24,480 Speaker 2: reason yelling or you know, speaking loudly mocking the then 111 00:05:24,640 --> 00:05:28,200 Speaker 2: Communist leader of Hungary. He was a guy called Janosh Kadar. 112 00:05:28,680 --> 00:05:30,040 Speaker 2: And I was on the street in Hungary, and I 113 00:05:30,080 --> 00:05:32,920 Speaker 2: speak Hungary, and I was saying Cada is an idiot 114 00:05:33,000 --> 00:05:34,719 Speaker 2: or something like that. I don't know, I just mucking 115 00:05:34,720 --> 00:05:38,320 Speaker 2: about as a kid. That night, my aunt, who was 116 00:05:38,680 --> 00:05:42,440 Speaker 2: a teacher at the local school, I think the deputy 117 00:05:42,640 --> 00:05:45,360 Speaker 2: principal or something like the vice principal. She took me 118 00:05:45,400 --> 00:05:48,240 Speaker 2: to one side and she's very seriously and she said, look, 119 00:05:48,600 --> 00:05:50,479 Speaker 2: I heard about what you were doing today. And I 120 00:05:50,560 --> 00:05:53,120 Speaker 2: know that's fine in England and you can say what 121 00:05:53,160 --> 00:05:56,280 Speaker 2: you want, but you can't do that here. Your cousins 122 00:05:56,320 --> 00:05:58,440 Speaker 2: could get in real trouble. I could lose my job, 123 00:05:58,640 --> 00:06:01,480 Speaker 2: so you just mustn't say. Things like that really stayed 124 00:06:01,480 --> 00:06:03,880 Speaker 2: with me, you know, as a kid, and all those 125 00:06:03,920 --> 00:06:06,480 Speaker 2: other things. My dad, you know, my dad had a 126 00:06:06,480 --> 00:06:10,880 Speaker 2: paint factory. It was confiscated by the regime, you know, 127 00:06:10,960 --> 00:06:12,680 Speaker 2: et cetera. But the other thing I was going to 128 00:06:12,680 --> 00:06:14,920 Speaker 2: say is like I grew up in England and there 129 00:06:15,160 --> 00:06:16,600 Speaker 2: you see what's happening in England. 130 00:06:16,640 --> 00:06:18,839 Speaker 1: Now, I was going to say to now, you can't 131 00:06:18,839 --> 00:06:20,280 Speaker 1: do that in England either. 132 00:06:20,200 --> 00:06:24,000 Speaker 2: No, and you've got the socialism and the insane level 133 00:06:24,040 --> 00:06:27,479 Speaker 2: of welfare spending, like I think the last data I 134 00:06:27,480 --> 00:06:30,760 Speaker 2: saw like more than half the population on receiving some 135 00:06:30,839 --> 00:06:33,679 Speaker 2: kind of welfare benefit. And then you've got, of course 136 00:06:33,720 --> 00:06:38,440 Speaker 2: the immigration situation and Islamism and Sharia, all this going on. 137 00:06:38,720 --> 00:06:41,640 Speaker 2: I literally say, on the road here in California, when 138 00:06:41,800 --> 00:06:43,880 Speaker 2: when I kind of you know, lay out what I'm 139 00:06:43,880 --> 00:06:46,479 Speaker 2: fighting for and how all this is, you know, like 140 00:06:46,560 --> 00:06:48,200 Speaker 2: we think it couldn't happen here, but you look at 141 00:06:48,240 --> 00:06:50,280 Speaker 2: Mam Darney and you look at what's going on in California, 142 00:06:50,279 --> 00:06:52,240 Speaker 2: I say, look, I'm fighting to make sure that this 143 00:06:52,360 --> 00:06:55,359 Speaker 2: state that I love does not turn into the country 144 00:06:55,400 --> 00:06:55,839 Speaker 2: I left. 145 00:06:56,240 --> 00:06:59,360 Speaker 1: And that and that's so important because we hear all 146 00:06:59,440 --> 00:07:02,479 Speaker 1: the time that a country can be lost in just 147 00:07:02,640 --> 00:07:05,600 Speaker 1: one generation. And really, you just told that story. May 148 00:07:05,640 --> 00:07:09,240 Speaker 1: think being a child feeling so confident saying that and 149 00:07:09,320 --> 00:07:12,360 Speaker 1: hungry because you knew you lived in a country were safe. 150 00:07:12,440 --> 00:07:15,200 Speaker 1: If you did that today in England, that's what they 151 00:07:15,200 --> 00:07:17,040 Speaker 1: would be telling you. You can't because look at the 152 00:07:17,120 --> 00:07:20,640 Speaker 1: arrests that we're seeing of people who are just posting 153 00:07:20,680 --> 00:07:21,600 Speaker 1: on social media. 154 00:07:22,080 --> 00:07:24,480 Speaker 2: Thousands of them a year. It's unbelievable. 155 00:07:25,440 --> 00:07:30,080 Speaker 1: It's totally shocking to me, and I think it's such 156 00:07:30,120 --> 00:07:33,920 Speaker 1: a sad but great lesson. I mean, it is sad 157 00:07:34,040 --> 00:07:38,480 Speaker 1: to me because growing up you always kind of thought 158 00:07:38,480 --> 00:07:42,119 Speaker 1: of like, our history came from England, whether we fought 159 00:07:42,160 --> 00:07:44,760 Speaker 1: to get away or not, that was our history and 160 00:07:45,680 --> 00:07:49,440 Speaker 1: there was still like mindedness there. And now the culture's gone. 161 00:07:50,360 --> 00:07:53,720 Speaker 1: When I was first working, when I said we worked 162 00:07:53,720 --> 00:07:56,800 Speaker 1: in Eastern Europe, we worked with three foundries in the 163 00:07:56,800 --> 00:08:00,240 Speaker 1: Czech Republic, the Czech Republic that it's very interesting that 164 00:08:00,280 --> 00:08:04,480 Speaker 1: they allow no immigration at all. Wow, So their culture 165 00:08:04,560 --> 00:08:09,000 Speaker 1: has very much stayed the same, and they're unapologetic about it, 166 00:08:09,040 --> 00:08:11,960 Speaker 1: you know, they're like, look, we've seen what's happening around us. 167 00:08:12,040 --> 00:08:15,120 Speaker 1: We want to make sure that what we've built continues 168 00:08:15,160 --> 00:08:18,680 Speaker 1: to stay. And it is exactly the same way it was. 169 00:08:18,920 --> 00:08:21,480 Speaker 1: And there really isn't a lot of outside of Prague. 170 00:08:21,520 --> 00:08:24,680 Speaker 1: You know, we were in the rural areas and there's 171 00:08:24,720 --> 00:08:26,240 Speaker 1: not even English spoken, you know. 172 00:08:26,560 --> 00:08:28,680 Speaker 2: Yes, but that's a really important point. I mean I 173 00:08:28,680 --> 00:08:30,360 Speaker 2: think about that. Of course, America, you know, we have 174 00:08:30,400 --> 00:08:32,440 Speaker 2: this amazing tradition of immigration, but you've got to be 175 00:08:32,480 --> 00:08:34,520 Speaker 2: really clear about what it means got to be legal, 176 00:08:34,840 --> 00:08:37,520 Speaker 2: and you know that's why what we saw under you know, Bomber, 177 00:08:37,600 --> 00:08:41,680 Speaker 2: but then massively Underbiden the open border was so completely outrageous, 178 00:08:41,720 --> 00:08:44,080 Speaker 2: and thank goodness the President has stopped that now. But 179 00:08:44,120 --> 00:08:47,040 Speaker 2: it's also that point about if you come here as 180 00:08:47,080 --> 00:08:49,000 Speaker 2: a guest, you know, and I think it's the highest honor. 181 00:08:49,120 --> 00:08:51,679 Speaker 2: Like I'm an American now when I got my citizenship, 182 00:08:51,880 --> 00:08:54,720 Speaker 2: and the proudest days of my life, I've renounced my 183 00:08:54,840 --> 00:08:58,240 Speaker 2: UK citizenship as well, you know, So I'm just, you know, 184 00:08:58,520 --> 00:09:01,679 Speaker 2: very clear where my loyalties lie. But it's not just that, 185 00:09:01,720 --> 00:09:05,479 Speaker 2: it's not just the technical act of getting your citizenship. 186 00:09:06,160 --> 00:09:09,720 Speaker 2: We have to require that if you're here as an immigrant, 187 00:09:09,800 --> 00:09:13,200 Speaker 2: you have to support and buy into the values that 188 00:09:13,240 --> 00:09:15,920 Speaker 2: built this country, and you have to speak English, you 189 00:09:16,000 --> 00:09:18,680 Speaker 2: have to do and we just let all that slide. 190 00:09:19,280 --> 00:09:22,160 Speaker 2: And it's really undermining of it's. 191 00:09:22,000 --> 00:09:26,920 Speaker 1: So manipulative the way it's explained to us, because especially 192 00:09:26,920 --> 00:09:29,480 Speaker 1: from California, I'll pick on your state a little bit, 193 00:09:29,600 --> 00:09:31,880 Speaker 1: because we've had a lot of people in that state say, 194 00:09:32,280 --> 00:09:35,079 Speaker 1: who's going to pick our vee, who's going to pick 195 00:09:35,080 --> 00:09:37,160 Speaker 1: our vegetables, Who's going to pick our fruit, which I 196 00:09:37,200 --> 00:09:38,920 Speaker 1: always think is such a rude thing to say, like 197 00:09:38,960 --> 00:09:42,640 Speaker 1: who's going to do this for us? Because they think 198 00:09:42,679 --> 00:09:45,360 Speaker 1: of these as low level jobs and that's the only 199 00:09:45,400 --> 00:09:47,720 Speaker 1: thing an immigrant can do. And honestly, I will say 200 00:09:47,760 --> 00:09:50,880 Speaker 1: that when we were when we were running the foundry, 201 00:09:51,080 --> 00:09:53,600 Speaker 1: we wanted to bring people in from Eastern Europe because 202 00:09:53,600 --> 00:09:57,000 Speaker 1: they had skills. But they weren't skills in education. They 203 00:09:57,000 --> 00:09:59,280 Speaker 1: were skills and trades. So it wasn't like they were 204 00:09:59,559 --> 00:10:03,440 Speaker 1: high had all these different degrees. They were very skilled 205 00:10:03,480 --> 00:10:06,000 Speaker 1: in trades and we couldn't find it anywhere else. We 206 00:10:06,040 --> 00:10:09,280 Speaker 1: couldn't bring those folks in. That was our immigration system 207 00:10:09,400 --> 00:10:13,680 Speaker 1: is broken from that standpoint, And I love that argument 208 00:10:13,760 --> 00:10:16,280 Speaker 1: of like we needed them to come in and make 209 00:10:16,320 --> 00:10:20,880 Speaker 1: sure that they're harvesting our food for us. Okay, say 210 00:10:20,880 --> 00:10:23,560 Speaker 1: that is what we do need if we get to 211 00:10:23,600 --> 00:10:26,640 Speaker 1: a point where we don't have enough people shutting Closing 212 00:10:26,679 --> 00:10:30,240 Speaker 1: the border doesn't mean you have to shut off that spicket. 213 00:10:30,280 --> 00:10:32,760 Speaker 1: It means you bring in the safe people. There are 214 00:10:32,760 --> 00:10:33,920 Speaker 1: still people that want to come. 215 00:10:34,440 --> 00:10:37,319 Speaker 2: Yes, and you can do it with the right program, 216 00:10:37,640 --> 00:10:39,040 Speaker 2: and you've got to do it the right way, and 217 00:10:39,040 --> 00:10:42,800 Speaker 2: you've got to do it. You're absolutely insist that you're 218 00:10:43,040 --> 00:10:46,440 Speaker 2: one hundred percent committed to America and believe in what 219 00:10:46,480 --> 00:10:50,320 Speaker 2: we stand for, and we just not enforced that. So 220 00:10:50,400 --> 00:10:53,000 Speaker 2: I'd say that the test is ridiculous. The test, you know, 221 00:10:53,080 --> 00:10:55,760 Speaker 2: answering twenty questions. You know, of course it's a good idea, 222 00:10:55,920 --> 00:10:58,400 Speaker 2: but it's much deeper than that. You know, you've got 223 00:10:58,400 --> 00:11:02,400 Speaker 2: to really believe in everything this country sounds for, which 224 00:11:02,440 --> 00:11:04,360 Speaker 2: is different to every other country in the world, and 225 00:11:04,400 --> 00:11:07,360 Speaker 2: you've got to understand that and love it and support it. 226 00:11:07,800 --> 00:11:10,000 Speaker 1: And anyone can study for a test. It's so funny 227 00:11:10,000 --> 00:11:12,760 Speaker 1: because just today, you know, you have all these informed 228 00:11:12,800 --> 00:11:15,840 Speaker 1: pages for your town on Facebook, and I saw people 229 00:11:16,440 --> 00:11:18,520 Speaker 1: this guy posted a picture of one of our streets 230 00:11:18,559 --> 00:11:21,319 Speaker 1: and was like, why are the street lines drawn like this? 231 00:11:21,800 --> 00:11:24,760 Speaker 1: And there were fifty different answers on this. It's like, well, 232 00:11:24,800 --> 00:11:26,760 Speaker 1: you can't turn left on a double yellow. No, you 233 00:11:26,800 --> 00:11:28,880 Speaker 1: can't turn left on a double yellow. You can't do this. 234 00:11:29,080 --> 00:11:31,440 Speaker 1: And I was like, we literally don't even know our laws. Like, 235 00:11:31,520 --> 00:11:34,240 Speaker 1: you know, this is so funny. So anybody can pass 236 00:11:34,280 --> 00:11:36,440 Speaker 1: a test, and then you know, years from now, we'll 237 00:11:36,520 --> 00:11:39,040 Speaker 1: forget even our own driving test. Let's take a quick 238 00:11:39,080 --> 00:11:42,840 Speaker 1: commercial break. We'll continue next on the Tutor Dixon Podcast. 239 00:11:45,679 --> 00:11:49,760 Speaker 1: I want to get to California because you're calling it Califraudya, 240 00:11:50,080 --> 00:11:54,120 Speaker 1: because you have so much fraud in California, and this 241 00:11:54,160 --> 00:11:58,079 Speaker 1: is very it's interesting timing. We've just seen Tim Walls 242 00:11:58,120 --> 00:12:01,160 Speaker 1: decide he's not going to run for gov again, which 243 00:12:01,160 --> 00:12:03,920 Speaker 1: I think is so what a fall from grace. I mean, 244 00:12:03,920 --> 00:12:05,760 Speaker 1: this guy here, he is he's thinking he's going to 245 00:12:05,760 --> 00:12:08,640 Speaker 1: be vice president of the country and then he can't 246 00:12:08,679 --> 00:12:11,120 Speaker 1: even run for governor again because his state is so 247 00:12:11,480 --> 00:12:14,120 Speaker 1: filled with fraud. But this is not this is not 248 00:12:14,320 --> 00:12:17,480 Speaker 1: unique to Minnesota. I'd love to say it's it's only 249 00:12:17,640 --> 00:12:20,880 Speaker 1: unique to Blue states. I believe it's happening in red 250 00:12:20,920 --> 00:12:24,920 Speaker 1: states as well, but the Blue states. California is probably 251 00:12:25,559 --> 00:12:29,440 Speaker 1: one of the most egregious. I mean, we've even seen 252 00:12:29,480 --> 00:12:31,480 Speaker 1: with these fires you can't even rebuild. 253 00:12:31,960 --> 00:12:34,880 Speaker 2: No, no, it's a nice I mean, let me just 254 00:12:34,880 --> 00:12:36,160 Speaker 2: just sort of walk you through it, which is that 255 00:12:37,360 --> 00:12:39,360 Speaker 2: it really goes to the heart of everything that's gone 256 00:12:39,360 --> 00:12:42,280 Speaker 2: wrong in California. And just the context is that you know, 257 00:12:42,360 --> 00:12:45,520 Speaker 2: people's you know, you see California in the news and 258 00:12:45,559 --> 00:12:47,679 Speaker 2: people made you know, obviously the homeless issue, who's got 259 00:12:47,679 --> 00:12:51,200 Speaker 2: a lot of national attention and crime, and you know, 260 00:12:51,880 --> 00:12:53,800 Speaker 2: retail and all those kinds of things. You see those 261 00:12:53,840 --> 00:12:56,400 Speaker 2: viral videos. But what is I think people really need 262 00:12:56,400 --> 00:12:58,760 Speaker 2: to understand is this is a failing state on every 263 00:12:58,840 --> 00:13:01,839 Speaker 2: single level. It's kind of amazing actually how bad it 264 00:13:01,880 --> 00:13:04,640 Speaker 2: is when you look at the different metrics and the 265 00:13:04,679 --> 00:13:08,160 Speaker 2: different you know, well, on every single issue. You compare 266 00:13:08,200 --> 00:13:10,600 Speaker 2: California to the rest of the country, we are literally 267 00:13:10,679 --> 00:13:13,400 Speaker 2: fiftieth out of fifty on everything that matters. That is 268 00:13:13,440 --> 00:13:16,840 Speaker 2: not an exaggeration. We have the highest taxes, the highest 269 00:13:16,880 --> 00:13:21,080 Speaker 2: costs for gas, electric, water, insurance, rent, we'll get housing, 270 00:13:21,120 --> 00:13:23,480 Speaker 2: everything we have. We are fiftieth out of fifty for 271 00:13:23,520 --> 00:13:27,800 Speaker 2: business climate, fiftieth out of fifty for affordability opportunity. That 272 00:13:27,880 --> 00:13:31,400 Speaker 2: was US News, World and World Report rankings. We have 273 00:13:31,480 --> 00:13:35,079 Speaker 2: the highest poverty rate in the country, the highest unemployment 274 00:13:35,160 --> 00:13:38,559 Speaker 2: rate in the country. It's just insane how everything is 275 00:13:38,600 --> 00:13:42,400 Speaker 2: a disaster at the heart of it. Actually, in a way, 276 00:13:42,559 --> 00:13:46,320 Speaker 2: is this fraud issue, because what's driving that is the 277 00:13:46,400 --> 00:13:49,480 Speaker 2: growth over the sixteen years now of one party rule, 278 00:13:49,840 --> 00:13:55,600 Speaker 2: of this massive bloated nanny state, welfare state, big government bureaucracy. 279 00:13:55,880 --> 00:13:59,520 Speaker 2: That's what's driving all of this, that's what's driving businesses out. 280 00:13:59,679 --> 00:14:02,080 Speaker 2: That's what our taxes are the highest. That's why they've 281 00:14:02,120 --> 00:14:04,160 Speaker 2: doubled the budget in the last nearly in the last 282 00:14:04,200 --> 00:14:06,880 Speaker 2: five years, and everything's just got worse. And when you 283 00:14:06,880 --> 00:14:09,600 Speaker 2: look at what's going on, this is the scam, which 284 00:14:09,640 --> 00:14:11,960 Speaker 2: is that they basically want more and this relates to 285 00:14:12,000 --> 00:14:14,760 Speaker 2: what's going on in England. This is the Democrat agenda 286 00:14:14,760 --> 00:14:17,319 Speaker 2: and the far left Democrats who've been in charge in California, 287 00:14:17,400 --> 00:14:20,280 Speaker 2: they want to keep growing the government. They wanted more 288 00:14:20,320 --> 00:14:24,240 Speaker 2: and more people getting government services of one kind or another. 289 00:14:24,760 --> 00:14:27,800 Speaker 2: Then they that's where the fraud comes in. Once you've 290 00:14:27,800 --> 00:14:31,280 Speaker 2: got someone who's in receipt of government services, you've got 291 00:14:31,320 --> 00:14:34,120 Speaker 2: a name and a social Security number, then you can 292 00:14:34,200 --> 00:14:37,480 Speaker 2: generate an invoice and then you can start the money 293 00:14:37,520 --> 00:14:39,720 Speaker 2: coming in. And that was what was going on in 294 00:14:39,920 --> 00:14:42,760 Speaker 2: Minnesota with the childcare and so on, and just fake 295 00:14:42,800 --> 00:14:46,200 Speaker 2: invoices for fake people. That's what's going on in California 296 00:14:46,320 --> 00:14:49,400 Speaker 2: where you've got fake homeless people in receipt of services 297 00:14:49,480 --> 00:14:52,880 Speaker 2: or real homeless people getting fake services. All these nonprofits 298 00:14:53,800 --> 00:14:54,200 Speaker 2: we're not. 299 00:14:54,120 --> 00:14:57,280 Speaker 1: Getting services because other people are getting that money. 300 00:14:57,280 --> 00:14:59,320 Speaker 2: Exactly, and so what we tried to do so this 301 00:14:59,440 --> 00:15:02,240 Speaker 2: really explodes. It did, of course over Thanksgiving, the first 302 00:15:02,400 --> 00:15:05,720 Speaker 2: you know, back round of the Minnesota story. And so 303 00:15:05,920 --> 00:15:07,920 Speaker 2: at that time, it's now about a month ago to 304 00:15:07,960 --> 00:15:10,320 Speaker 2: the early December. I looked at all of that and 305 00:15:10,320 --> 00:15:13,320 Speaker 2: I said, look we can I said, you know, rhetorically, 306 00:15:13,640 --> 00:15:16,720 Speaker 2: whatever is going on in Tim Wolves's Minnesota, you can 307 00:15:16,800 --> 00:15:20,320 Speaker 2: be sure it's a thousand times worse in Gaven Newsom's California. 308 00:15:20,400 --> 00:15:23,480 Speaker 2: And then we tried to actually put some data behind that. 309 00:15:23,560 --> 00:15:26,000 Speaker 2: So one thing that was happening in Minnesota was that 310 00:15:26,040 --> 00:15:28,680 Speaker 2: you had all along, you had these whistleblowers, you know, 311 00:15:28,760 --> 00:15:30,800 Speaker 2: good decent people in the state or local government who 312 00:15:30,880 --> 00:15:33,720 Speaker 2: tried to tell the world what was happening, and Tim 313 00:15:33,760 --> 00:15:37,200 Speaker 2: Wolds and the Democrat machine silenced them and intimidated them 314 00:15:37,320 --> 00:15:40,200 Speaker 2: and tried to stop that coming out so they. 315 00:15:40,040 --> 00:15:42,160 Speaker 1: Get elected that way. I mean, it's power. 316 00:15:42,440 --> 00:15:45,360 Speaker 2: It's power exactly. So I started something about a month 317 00:15:45,360 --> 00:15:48,640 Speaker 2: ago called cali is basically anonymous tip line to say, 318 00:15:48,720 --> 00:15:50,880 Speaker 2: let tell us information so we know where to go 319 00:15:50,920 --> 00:15:54,320 Speaker 2: to find this stuff. Califraud dot com. That was a 320 00:15:54,360 --> 00:15:57,880 Speaker 2: month ago. We've had hundreds of tips. Now I'm not 321 00:15:58,040 --> 00:16:01,120 Speaker 2: elected yet, and I'm working with a guy called Herb 322 00:16:01,160 --> 00:16:04,320 Speaker 2: Morgan who's running for state Controller in California, a very 323 00:16:04,320 --> 00:16:07,760 Speaker 2: well qualified guy from the finance sector, and that has 324 00:16:07,800 --> 00:16:10,360 Speaker 2: the power of audit that job the state controller. So 325 00:16:10,400 --> 00:16:12,720 Speaker 2: we've been working on this together and we've looked at 326 00:16:12,720 --> 00:16:15,760 Speaker 2: the budgets. We've looked at the areas that have come 327 00:16:15,800 --> 00:16:17,880 Speaker 2: in from these tips. Now we haven't been able to 328 00:16:17,920 --> 00:16:20,320 Speaker 2: run them all down because we don't have the resources 329 00:16:20,360 --> 00:16:23,040 Speaker 2: of state government, but just looking at what's coming in, 330 00:16:23,440 --> 00:16:25,520 Speaker 2: not just the homelessness and the things that have been 331 00:16:25,840 --> 00:16:28,960 Speaker 2: identified already, but all these other areas, we've come up 332 00:16:29,000 --> 00:16:32,600 Speaker 2: with an estimate for what the number is in California. 333 00:16:32,800 --> 00:16:35,120 Speaker 2: It is way bigger than anything that's been out there. 334 00:16:35,200 --> 00:16:37,720 Speaker 2: First we think it's at least two hundred and fifty 335 00:16:37,760 --> 00:16:42,320 Speaker 2: billion dollars in California, and that is probably an underestimate. 336 00:16:42,800 --> 00:16:45,680 Speaker 1: When I was a kid, California was I mean, it 337 00:16:45,720 --> 00:16:48,640 Speaker 1: was the song California Girls. The California was like the 338 00:16:48,720 --> 00:16:52,640 Speaker 1: dream place. Every high school movie was set in California. 339 00:16:52,720 --> 00:16:58,520 Speaker 1: California is a gorgeous state. This fraud has destroyed it. 340 00:16:58,520 --> 00:17:02,680 Speaker 1: It's destroyed everybody's vision of California. I was in Malibu 341 00:17:02,720 --> 00:17:06,639 Speaker 1: a few last year sometime or the year before, and 342 00:17:07,160 --> 00:17:09,640 Speaker 1: I'm like, my gosh, it's stunning here. This is the 343 00:17:09,680 --> 00:17:13,760 Speaker 1: most beautiful state. And you can't afford to live here. 344 00:17:14,240 --> 00:17:18,040 Speaker 1: You can't afford to have a car here, You're not 345 00:17:18,080 --> 00:17:20,280 Speaker 1: even allowed to have the right car here. I mean, 346 00:17:20,440 --> 00:17:24,040 Speaker 1: this is and it goes so much further than with 347 00:17:24,160 --> 00:17:26,920 Speaker 1: a fraud that you're talking about. The two hundred and 348 00:17:26,920 --> 00:17:27,800 Speaker 1: fifty billion, you. 349 00:17:27,760 --> 00:17:30,760 Speaker 2: Say, that's that's an estimate. Look, we need to that's 350 00:17:30,800 --> 00:17:33,120 Speaker 2: just based on looking at the size of the budgets 351 00:17:33,119 --> 00:17:37,760 Speaker 2: that have been identified, and that's a preliminary review. I mean, 352 00:17:37,800 --> 00:17:39,119 Speaker 2: once we get there, we can really get to the 353 00:17:39,160 --> 00:17:41,040 Speaker 2: bottom of it. But I mean, but you know, there's 354 00:17:41,040 --> 00:17:44,639 Speaker 2: a central thing that the question, which is, how is 355 00:17:44,680 --> 00:17:49,800 Speaker 2: it possible that they've doubled the state budget doubled and 356 00:17:49,880 --> 00:17:53,000 Speaker 2: yet everything's worse. Well, this is the answer, because the 357 00:17:53,000 --> 00:17:54,760 Speaker 2: money is going to all of this. I mean, it's 358 00:17:54,760 --> 00:17:57,359 Speaker 2: a huge amount of money. The two hundred and fifty 359 00:17:57,440 --> 00:18:00,800 Speaker 2: is over a period of time, the state budget just 360 00:18:00,880 --> 00:18:02,760 Speaker 2: now that Gavinusen signed off last year, I mean he's 361 00:18:02,760 --> 00:18:04,560 Speaker 2: going to be presenting his new one next year, three 362 00:18:04,640 --> 00:18:07,360 Speaker 2: hundred and twenty five billion dollars. It's a huge budget, 363 00:18:07,720 --> 00:18:10,280 Speaker 2: and so but everything's worse. 364 00:18:11,080 --> 00:18:15,000 Speaker 1: Everything's worse. But what people really need to understand is 365 00:18:15,040 --> 00:18:18,320 Speaker 1: what you saw in Minnesota, you won't see in California 366 00:18:18,359 --> 00:18:21,359 Speaker 1: because they have done they have passed so many laws 367 00:18:21,359 --> 00:18:23,960 Speaker 1: to prevent you from even seeing what's going on. You 368 00:18:24,000 --> 00:18:27,000 Speaker 1: don't have you're not allowed to record in California. You 369 00:18:27,040 --> 00:18:32,440 Speaker 1: can't go up to a daycare and record. That's illegal. 370 00:18:32,760 --> 00:18:33,959 Speaker 1: So it's all hidden. 371 00:18:34,600 --> 00:18:36,520 Speaker 2: We get well, Nick Shirley, who's played such a big 372 00:18:36,560 --> 00:18:38,520 Speaker 2: role in the Minnesota thing and getting rid of Tim Wills. 373 00:18:38,560 --> 00:18:41,879 Speaker 2: You know he's coming here and we're hopefully going to 374 00:18:41,920 --> 00:18:44,760 Speaker 2: be working with him. And the other part of this 375 00:18:44,880 --> 00:18:46,760 Speaker 2: is exactly what you said, just to be really clear 376 00:18:46,800 --> 00:18:50,199 Speaker 2: so people understand how much they're trying to hide this. So, 377 00:18:50,400 --> 00:18:53,399 Speaker 2: just at the state level, if you go back a 378 00:18:53,520 --> 00:18:57,199 Speaker 2: year or so, one of the Republican members in the 379 00:18:57,200 --> 00:19:02,920 Speaker 2: state legislature asked the state auditor to do an order 380 00:19:03,000 --> 00:19:06,879 Speaker 2: into homelessness spending just over a year ago. That's ridiculous, 381 00:19:07,200 --> 00:19:11,879 Speaker 2: and they the state auditor, independent nonpartisan k just said 382 00:19:12,640 --> 00:19:15,840 Speaker 2: they couldn't follow the money. What they said was, we 383 00:19:16,080 --> 00:19:21,080 Speaker 2: have found twenty four billion dollars that we can't explain where. 384 00:19:21,200 --> 00:19:23,119 Speaker 2: They couldn't prove that it was for. They just didn't 385 00:19:23,160 --> 00:19:25,560 Speaker 2: know where it went. They had no evidence one way 386 00:19:25,720 --> 00:19:30,080 Speaker 2: or another. So then the state legislature passed a bill. 387 00:19:30,920 --> 00:19:34,240 Speaker 2: Remember this is a Democrat supermajority two thirds majority. Even 388 00:19:34,280 --> 00:19:38,320 Speaker 2: with that, they passed a bill requiring a thorough audit 389 00:19:38,880 --> 00:19:40,920 Speaker 2: of that munch. They said, well, we've been told about 390 00:19:40,920 --> 00:19:42,800 Speaker 2: this twenty four billion. They don't know where the money went. 391 00:19:43,040 --> 00:19:46,639 Speaker 2: Let's have an audit of the homelessness spending. Democrats voted 392 00:19:46,640 --> 00:19:50,920 Speaker 2: for the passed the state legislature. Newsom vetoed that bill. 393 00:19:51,600 --> 00:19:54,040 Speaker 2: He vetoed it exactly as you're saying, they don't want 394 00:19:54,040 --> 00:19:57,520 Speaker 2: to know. At the city level, Karen Bass, same deal, right. 395 00:19:57,560 --> 00:20:00,000 Speaker 2: There's been a court case going on since twenty two 396 00:20:00,000 --> 00:20:04,080 Speaker 2: twenty on LA homelessness spending, filed by business groups and 397 00:20:04,160 --> 00:20:06,800 Speaker 2: citizens saying where's all the money going? We have these 398 00:20:06,920 --> 00:20:09,840 Speaker 2: terrible homelessness still on our streets. That got into the 399 00:20:09,880 --> 00:20:14,679 Speaker 2: court process. The judge, the federal judge ordered an investigation 400 00:20:14,760 --> 00:20:18,000 Speaker 2: into LA spending. Same deal. They didn't know, they said, 401 00:20:18,000 --> 00:20:19,919 Speaker 2: where there's all this money, billions, but we don't know 402 00:20:19,960 --> 00:20:23,440 Speaker 2: where it went. So the city controller in LA by 403 00:20:23,440 --> 00:20:26,480 Speaker 2: the way, he was elected as a Democrat socialist, like 404 00:20:26,600 --> 00:20:29,440 Speaker 2: far left guy, but once he got there and saw 405 00:20:29,480 --> 00:20:34,880 Speaker 2: the numbers, he's completely flipped and he the city control seriously, yes, seriously, 406 00:20:34,920 --> 00:20:37,399 Speaker 2: it's an amazing story. So the city controller in the 407 00:20:37,560 --> 00:20:41,199 Speaker 2: LA said, this is outrageous, the money's being waged. I 408 00:20:41,560 --> 00:20:45,560 Speaker 2: will do an investigation. As the city controller Karen Bass 409 00:20:46,040 --> 00:20:50,280 Speaker 2: blocked him that it's just unbelieved. They know this is 410 00:20:50,720 --> 00:20:51,600 Speaker 2: how bad it is. 411 00:20:52,000 --> 00:20:55,800 Speaker 1: But this is the problem is that once in this 412 00:20:55,960 --> 00:20:59,119 Speaker 1: I've been talking about this with friends here, how do 413 00:20:59,160 --> 00:21:01,920 Speaker 1: you how do you get it back? And it has 414 00:21:02,000 --> 00:21:04,520 Speaker 1: to be that you elect different people, that you elect 415 00:21:04,600 --> 00:21:07,240 Speaker 1: Republicans who are willing to go in. And it has 416 00:21:07,280 --> 00:21:10,560 Speaker 1: to be so across the board that you're going to 417 00:21:10,600 --> 00:21:14,440 Speaker 1: do this. And I say to Republicans all the time, 418 00:21:14,720 --> 00:21:17,240 Speaker 1: you got to give money. We are up against it 419 00:21:17,280 --> 00:21:21,520 Speaker 1: because they are taking taxpayer dollars. I mean, think about that. 420 00:21:22,359 --> 00:21:25,240 Speaker 1: Think about the amount of money we're paying. It goes in. 421 00:21:25,680 --> 00:21:29,000 Speaker 1: I look at this in Michigan and I say, every 422 00:21:29,040 --> 00:21:32,159 Speaker 1: one of these projects that they suddenly do it sounds 423 00:21:32,160 --> 00:21:34,480 Speaker 1: so good. We're going to have free breakfast and lunch 424 00:21:34,520 --> 00:21:37,439 Speaker 1: for all students. And I bet if I went to 425 00:21:37,640 --> 00:21:40,119 Speaker 1: all of the people that got those contracts, they are 426 00:21:40,160 --> 00:21:44,280 Speaker 1: putting massive amounts of money into Democrat campaigns. The problems 427 00:21:44,359 --> 00:21:50,320 Speaker 1: every free program, then those organizations are giving donations back. 428 00:21:50,440 --> 00:21:53,840 Speaker 1: They're getting our taxpayer dollars for free. They don't have 429 00:21:53,920 --> 00:21:57,000 Speaker 1: to pay to have these programs. They get paid by 430 00:21:57,040 --> 00:21:59,960 Speaker 1: the state to supply this food. They give them money 431 00:22:00,119 --> 00:22:04,080 Speaker 1: me back to I swear if we follow every program 432 00:22:04,119 --> 00:22:06,400 Speaker 1: like this, you'll find out that the money is going 433 00:22:06,480 --> 00:22:09,080 Speaker 1: back into their pockets and the money is going into 434 00:22:09,520 --> 00:22:11,800 Speaker 1: I mean, you look at one of these fraud cases 435 00:22:11,840 --> 00:22:17,800 Speaker 1: in Minnesota. The guy had a an organization that fed 436 00:22:17,840 --> 00:22:22,640 Speaker 1: the youth that was like the whole scheme paid in 437 00:22:22,720 --> 00:22:26,040 Speaker 1: cash two hundred and fifty thousand dollars for a new Porsche. 438 00:22:26,080 --> 00:22:28,720 Speaker 1: Who has two hundred and fifty thousand dollars. I mean, 439 00:22:28,840 --> 00:22:32,880 Speaker 1: this is beyond this is beyond ternally think. 440 00:22:34,320 --> 00:22:37,479 Speaker 2: Look, I mean again another example from California. They just 441 00:22:37,720 --> 00:22:40,480 Speaker 2: implemented me whenever a couple in the last couple of 442 00:22:40,560 --> 00:22:44,560 Speaker 2: years what they called a mansion tax in La a 443 00:22:44,640 --> 00:22:47,359 Speaker 2: mansion on top of everything else, like we already have 444 00:22:47,480 --> 00:22:50,080 Speaker 2: the highest taxes in the country, you know. So another one, 445 00:22:50,480 --> 00:22:53,440 Speaker 2: and this was about if you sell your house above 446 00:22:53,480 --> 00:22:55,840 Speaker 2: a certain level money. You know, it's a tax that 447 00:22:55,960 --> 00:22:59,040 Speaker 2: goes to homelessness, they said, But actually it went to 448 00:23:00,560 --> 00:23:06,560 Speaker 2: named homeless activist organizations guess who and unions guess who. 449 00:23:06,680 --> 00:23:08,800 Speaker 2: Put that on the back. It was a ballot initiative 450 00:23:09,080 --> 00:23:14,159 Speaker 2: that enacted this mansion tax. The initiative was funded and 451 00:23:14,280 --> 00:23:17,240 Speaker 2: put on the ballot by the recipients of the tax. 452 00:23:17,800 --> 00:23:22,560 Speaker 1: Yes, the other that's the other scam that people don't know. 453 00:23:22,680 --> 00:23:25,560 Speaker 1: And it's very hard to educate people that this is happening. 454 00:23:25,640 --> 00:23:27,000 Speaker 1: This is why I love the fact that we have 455 00:23:27,040 --> 00:23:30,159 Speaker 1: this new media that we can actually explain these things, 456 00:23:30,280 --> 00:23:35,159 Speaker 1: because if none of this is meant to solve homelessness, 457 00:23:35,240 --> 00:23:40,240 Speaker 1: it's not meant to solve for problems, rebuilding housing issues, 458 00:23:40,440 --> 00:23:43,680 Speaker 1: these are these issues are not meant to be solved. 459 00:23:43,760 --> 00:23:45,840 Speaker 1: This is a place to keep money. It's like, if 460 00:23:45,880 --> 00:23:48,560 Speaker 1: you can keep homelessness a problem, you can raise the 461 00:23:48,560 --> 00:23:51,720 Speaker 1: budget every year. If you can prove that homelessness is worse, 462 00:23:52,040 --> 00:23:54,480 Speaker 1: you can get more money for homelessness. They have no 463 00:23:54,600 --> 00:23:56,120 Speaker 1: interest in helping homeless. 464 00:23:57,080 --> 00:24:01,920 Speaker 2: Exactly, they want to not just perpetuate but grow the 465 00:24:01,960 --> 00:24:05,439 Speaker 2: welfare state because they are the leeches who get that money, 466 00:24:05,640 --> 00:24:08,560 Speaker 2: and they wrap it up in this you know armor 467 00:24:08,720 --> 00:24:12,000 Speaker 2: as they which to protect them from scrutiny. Which, ah, 468 00:24:12,000 --> 00:24:14,959 Speaker 2: we're helping people. We're helping people. Now you're helping yourselves. 469 00:24:15,280 --> 00:24:16,439 Speaker 2: That's what's actually going on. 470 00:24:16,920 --> 00:24:20,400 Speaker 1: So just really quick, what is happening with the Palisades 471 00:24:20,680 --> 00:24:24,240 Speaker 1: fire situation? Because we're hearing that some of that land 472 00:24:24,359 --> 00:24:27,440 Speaker 1: was confiscated. I don't know if that's true. We're also 473 00:24:27,520 --> 00:24:29,640 Speaker 1: hearing that the people are not able to go back 474 00:24:29,680 --> 00:24:32,400 Speaker 1: and rebuild. I assume a lot of these people have 475 00:24:32,520 --> 00:24:35,440 Speaker 1: mortgages on houses they don't live in. Now. 476 00:24:35,800 --> 00:24:38,600 Speaker 2: It's a disaster. I mean, I'm there this week. There's 477 00:24:38,600 --> 00:24:40,719 Speaker 2: a big protest. I'll be there. We've got I've got 478 00:24:40,960 --> 00:24:43,359 Speaker 2: a set of announcements on what I would do as 479 00:24:43,400 --> 00:24:45,240 Speaker 2: governor to stop it happening. I mean, there's so many 480 00:24:45,280 --> 00:24:51,080 Speaker 2: aspects to this. There's the ridiculous far left environmental extremism 481 00:24:51,119 --> 00:24:53,359 Speaker 2: that led to the disaster in the first place, because 482 00:24:53,400 --> 00:24:55,600 Speaker 2: that these fires needn't have burnt out of control like that. 483 00:24:56,080 --> 00:24:58,080 Speaker 2: The fact that they didn't clear the brush. You know, 484 00:24:58,119 --> 00:25:00,440 Speaker 2: all that. We can get into that. Then then you've 485 00:25:00,480 --> 00:25:03,359 Speaker 2: got the failure of the response, the fire department, the 486 00:25:03,480 --> 00:25:06,760 Speaker 2: empty reservoiry, empty fire hid, all of that. So there's 487 00:25:06,800 --> 00:25:09,280 Speaker 2: so much that's gone wrong. But just specifically to your 488 00:25:09,280 --> 00:25:11,600 Speaker 2: point about the palisades and the rebuilding. Yeah, I mean, 489 00:25:11,840 --> 00:25:14,320 Speaker 2: I'm just on my show today as we're taping this. 490 00:25:14,400 --> 00:25:17,600 Speaker 2: Earlier today I tape my weekly podcast, The Steve Hilton Show. 491 00:25:18,000 --> 00:25:20,880 Speaker 2: One of my guests was Rachel Darvis. She became very 492 00:25:20,920 --> 00:25:24,000 Speaker 2: famous because she was that person. You remember that incident 493 00:25:24,280 --> 00:25:26,840 Speaker 2: where she saw Gavin Newsome. This is like the day 494 00:25:26,840 --> 00:25:29,720 Speaker 2: after the fist and he was wandering around the palisade. 495 00:25:29,760 --> 00:25:32,880 Speaker 2: She's a mom. Her child's you know, preschool burnt down, 496 00:25:33,280 --> 00:25:35,879 Speaker 2: and she went up to him and confronted him, and 497 00:25:35,920 --> 00:25:37,680 Speaker 2: he pretended he was on the phone with Biden. You 498 00:25:37,680 --> 00:25:41,080 Speaker 2: remember that he wearing his shades. That's her and she's 499 00:25:41,080 --> 00:25:45,359 Speaker 2: she's the part of the community's organizations. Then the palaces, 500 00:25:45,440 --> 00:25:48,280 Speaker 2: no one's had any nothing's happened. You've got people who 501 00:25:48,359 --> 00:25:51,159 Speaker 2: are giving up twelve times. They go back and forth 502 00:25:51,320 --> 00:25:53,320 Speaker 2: to the insurance, cause you can't get insurance until you 503 00:25:53,320 --> 00:25:55,800 Speaker 2: get the permit. The permit you can't get until you 504 00:25:55,800 --> 00:25:58,399 Speaker 2: have insurance. The insurance companies are trying to rip everyone up. 505 00:25:58,400 --> 00:26:01,000 Speaker 2: I mean, it's just a total night there, and it 506 00:26:01,080 --> 00:26:03,440 Speaker 2: was all driven exactly. This is what they think. They 507 00:26:03,840 --> 00:26:05,960 Speaker 2: everyone you talked to at the Palisades, they talk about 508 00:26:05,960 --> 00:26:08,560 Speaker 2: a land grab. That's what they say that's going on 509 00:26:08,640 --> 00:26:12,720 Speaker 2: there because they had a piece of legislation to turn 510 00:26:12,760 --> 00:26:14,840 Speaker 2: into low income housing. They say, this was the argument 511 00:26:14,880 --> 00:26:17,720 Speaker 2: all along. And this is what the Democrat agenda is, 512 00:26:17,760 --> 00:26:20,399 Speaker 2: the far left agenda. They want people living in apartments. 513 00:26:20,600 --> 00:26:23,600 Speaker 2: They don't. And they passed a bill AB seventy nine 514 00:26:23,640 --> 00:26:25,640 Speaker 2: this year on that Gavin you some signed it, which 515 00:26:25,680 --> 00:26:28,880 Speaker 2: is you can build a seven story apartment building within 516 00:26:28,960 --> 00:26:31,520 Speaker 2: one mile of transit. They get to define what transit 517 00:26:31,560 --> 00:26:33,720 Speaker 2: is to put up a temporary bus stop. Then suddenly 518 00:26:33,760 --> 00:26:36,400 Speaker 2: in the suburban single family home neighborhood, stick a seven 519 00:26:36,440 --> 00:26:39,280 Speaker 2: story apartment and they don't want partners that you live 520 00:26:39,280 --> 00:26:42,080 Speaker 2: in an apartment with no parking, You've got to use transit. It. 521 00:26:42,760 --> 00:26:46,480 Speaker 2: This is their ideology, and they're using the Palisades as 522 00:26:46,520 --> 00:26:50,159 Speaker 2: the kind of laboratory for this. It's really disgusting. 523 00:26:50,000 --> 00:26:53,560 Speaker 1: And I will just say that we had an administration 524 00:26:53,800 --> 00:26:56,879 Speaker 1: that continued to raise the interest rates, raise, raise, raise. 525 00:26:57,080 --> 00:27:00,199 Speaker 1: It's been a challenge to get those interest rates along low. 526 00:27:00,640 --> 00:27:03,200 Speaker 1: We have people saying we have a housing crisis. The 527 00:27:03,200 --> 00:27:06,480 Speaker 1: more that message goes out, the more people go, yeah, 528 00:27:06,600 --> 00:27:09,320 Speaker 1: build up all of the low income housing. Have the 529 00:27:09,359 --> 00:27:12,239 Speaker 1: government come in, take over this land and build up 530 00:27:12,280 --> 00:27:16,040 Speaker 1: low income housing where now you have a situation. Interest 531 00:27:16,119 --> 00:27:20,360 Speaker 1: rates are high, houses are going up in price. You've 532 00:27:20,400 --> 00:27:24,120 Speaker 1: got people that would generally be downsizing at this point 533 00:27:24,160 --> 00:27:26,560 Speaker 1: and moving out of their homes not moving out because 534 00:27:26,600 --> 00:27:29,120 Speaker 1: the taxes are so high for them to pay off. 535 00:27:29,440 --> 00:27:32,159 Speaker 1: I mean, it is not a housing issue. It is 536 00:27:32,200 --> 00:27:36,760 Speaker 1: a perfect storm of overregulation from the government. And there's 537 00:27:36,800 --> 00:27:40,480 Speaker 1: a plan. The government wants to own housing, yes. 538 00:27:40,240 --> 00:27:42,800 Speaker 2: And they don't want you, and they want to kill 539 00:27:43,359 --> 00:27:46,359 Speaker 2: that dream. It's the American dream, it's the California dream 540 00:27:46,720 --> 00:27:49,480 Speaker 2: of a single family home where you can raise your family, 541 00:27:49,520 --> 00:27:52,360 Speaker 2: a nice house with a yard, the kids can play outside, 542 00:27:52,400 --> 00:27:55,200 Speaker 2: your dogs can run around. They don't want that. They 543 00:27:55,240 --> 00:27:57,760 Speaker 2: don't want that. They want you in like a surf 544 00:27:57,840 --> 00:28:01,680 Speaker 2: in an apartment building where you depend on public transit 545 00:28:01,720 --> 00:28:04,720 Speaker 2: or whatever. And that's that's literally what they're trying to implement. 546 00:28:05,280 --> 00:28:07,200 Speaker 1: And it's true, it was always that you make such 547 00:28:07,240 --> 00:28:09,600 Speaker 1: a great point with the public transit, because we were 548 00:28:09,640 --> 00:28:13,200 Speaker 1: always going, how is everybody going to have an electric 549 00:28:13,280 --> 00:28:16,720 Speaker 1: vehicle in an apartment building? This is impossible. It was 550 00:28:16,800 --> 00:28:19,520 Speaker 1: never about that. It was always about getting taking rid 551 00:28:19,520 --> 00:28:24,159 Speaker 1: of taking away anything that you own, no personal property exactly. 552 00:28:24,240 --> 00:28:26,520 Speaker 2: And you look, there are some places where that might work. 553 00:28:26,560 --> 00:28:28,159 Speaker 2: You know in New York City, Fine, you got subway 554 00:28:28,240 --> 00:28:32,200 Speaker 2: or whatever. Bus. It's California doesn't work like that. Which 555 00:28:32,400 --> 00:28:35,840 Speaker 2: the way that we developed was was, you know, single families. 556 00:28:35,920 --> 00:28:39,040 Speaker 2: They call it sprawl, right, I call it the California dream. 557 00:28:39,360 --> 00:28:42,600 Speaker 2: That's what people want, you know, that's what families want. 558 00:28:42,640 --> 00:28:46,240 Speaker 2: That's what honestly, Immigrant families looking for that California dream 559 00:28:46,240 --> 00:28:48,800 Speaker 2: want to own their own home, their a little piece 560 00:28:48,840 --> 00:28:50,959 Speaker 2: of paradise. They don't want to be shoved into an 561 00:28:50,960 --> 00:28:53,440 Speaker 2: apartment and told they've got to have, you know, us 562 00:28:53,560 --> 00:28:56,800 Speaker 2: the bus or whatever that's useless and takes hours to 563 00:28:56,800 --> 00:29:00,000 Speaker 2: get across. No, that's not what It's so anti Hue. 564 00:29:00,600 --> 00:29:03,160 Speaker 2: It's ideological and we've got to beat these people. 565 00:29:03,320 --> 00:29:06,040 Speaker 1: Let's take a quick commercial break. We'll continue next on 566 00:29:06,040 --> 00:29:12,320 Speaker 1: the Tutor Dixon podcast. If you're in these groups, if 567 00:29:12,360 --> 00:29:15,520 Speaker 1: you are deep into this. So for the people who 568 00:29:15,520 --> 00:29:18,280 Speaker 1: aren't political geeks and aren't like kind of stalking what 569 00:29:18,360 --> 00:29:20,640 Speaker 1: the other side is doing, there is a movement for 570 00:29:20,680 --> 00:29:23,239 Speaker 1: these fifteen minute cities, and they want to create this 571 00:29:23,400 --> 00:29:26,120 Speaker 1: even in suburbia. I mean to your point, when I 572 00:29:26,160 --> 00:29:28,320 Speaker 1: lived in New York City, I never would have thought 573 00:29:28,320 --> 00:29:30,600 Speaker 1: about having a car. I wouldn't have even considered it. 574 00:29:30,800 --> 00:29:33,920 Speaker 1: I took public transit everywhere it made sense. Yes, it 575 00:29:33,960 --> 00:29:36,520 Speaker 1: doesn't make sense where I live in the suburbs of Michigan. 576 00:29:36,640 --> 00:29:39,680 Speaker 1: You know, out in the country, we have to have 577 00:29:39,720 --> 00:29:44,880 Speaker 1: our own vehicle, like big vehicles. But the idea. But 578 00:29:45,480 --> 00:29:48,000 Speaker 1: that's what they're doing here too. And they're putting in 579 00:29:48,360 --> 00:29:51,720 Speaker 1: apartment buildings with the bus stop and they're moving. They 580 00:29:51,760 --> 00:29:54,680 Speaker 1: really want to move toward that fifteen minute city. And 581 00:29:56,040 --> 00:29:58,200 Speaker 1: this is not happening in any other country in the 582 00:29:58,200 --> 00:30:01,080 Speaker 1: world when you look at what's going on in while 583 00:30:01,120 --> 00:30:03,480 Speaker 1: I should say, this isn't happening in Russia, this isn't 584 00:30:03,520 --> 00:30:07,600 Speaker 1: happening in China. They China is filled with electric vehicles 585 00:30:07,760 --> 00:30:11,160 Speaker 1: that works for them. They are inexpensive for them, because 586 00:30:11,200 --> 00:30:13,680 Speaker 1: they have the resources for that. We have the resources 587 00:30:13,680 --> 00:30:16,360 Speaker 1: for gas vehicles. This is a whole scam. 588 00:30:16,560 --> 00:30:18,320 Speaker 2: They don't have got This is the other thing you 589 00:30:18,400 --> 00:30:20,680 Speaker 2: keep hearing. I mean, we don't all you know that 590 00:30:21,400 --> 00:30:24,160 Speaker 2: of China's so far ahead on solar and electric. Yeah, 591 00:30:24,160 --> 00:30:25,000 Speaker 2: they don't have any oil. 592 00:30:25,080 --> 00:30:26,800 Speaker 1: They don't have any They have no choice. 593 00:30:26,800 --> 00:30:29,600 Speaker 2: They've got to do this. We have like, let's use 594 00:30:29,640 --> 00:30:30,600 Speaker 2: our own resources. 595 00:30:30,640 --> 00:30:34,280 Speaker 1: It's so insane, it's so insane. Well, we need so, 596 00:30:34,320 --> 00:30:38,080 Speaker 1: we need sanity in California. We fear that your governor 597 00:30:38,240 --> 00:30:40,400 Speaker 1: is going to run for a president. I actually I 598 00:30:40,440 --> 00:30:42,480 Speaker 1: don't know though that I should fear it. I fear 599 00:30:42,520 --> 00:30:46,600 Speaker 1: it because he's so slick and slimy and people like that. 600 00:30:46,800 --> 00:30:49,400 Speaker 1: I don't I don't understand how he gets away with it, 601 00:30:49,440 --> 00:30:52,600 Speaker 1: but he does. Yeah, but I do. I do look 602 00:30:52,640 --> 00:30:55,480 Speaker 1: forward to having you having a new governor there and 603 00:30:55,520 --> 00:30:57,280 Speaker 1: you stepping into that position. 604 00:30:57,280 --> 00:30:58,880 Speaker 2: Well here's my theory too, this is the way it's 605 00:30:58,880 --> 00:31:01,080 Speaker 2: going to go. So I'm going to get elected this year. 606 00:31:01,240 --> 00:31:03,000 Speaker 2: I've got a lot of big mess to clear. I 607 00:31:03,080 --> 00:31:05,720 Speaker 2: just put out a video we have chickens in our backyard, 608 00:31:05,880 --> 00:31:09,960 Speaker 2: and as I posted on that, every Sunday, I clean 609 00:31:10,000 --> 00:31:13,720 Speaker 2: out our chicken coop. That's the one of my household chores. 610 00:31:13,880 --> 00:31:15,360 Speaker 2: I said, well, I'm going to be cleaning out a 611 00:31:15,360 --> 00:31:17,760 Speaker 2: lot of you know what from Sacramento when I take 612 00:31:17,800 --> 00:31:20,080 Speaker 2: office next year. But in the process of doing that, 613 00:31:20,480 --> 00:31:23,520 Speaker 2: of cleaning up the mess, I will be revealing the 614 00:31:23,600 --> 00:31:26,360 Speaker 2: mess that gavin you some left behind and telling the 615 00:31:26,400 --> 00:31:28,360 Speaker 2: whole country whatever you do. 616 00:31:28,520 --> 00:31:32,240 Speaker 1: That is a very interesting point of Yeah, you get 617 00:31:32,280 --> 00:31:36,760 Speaker 1: to expose everything as he's trying to step to that 618 00:31:36,920 --> 00:31:39,920 Speaker 1: next level, and that is critical. That's critical for people 619 00:31:40,000 --> 00:31:41,520 Speaker 1: to know. We need to be able to see it. 620 00:31:41,720 --> 00:31:43,640 Speaker 1: Do people say to you all the time, why would 621 00:31:43,680 --> 00:31:44,080 Speaker 1: you want this? 622 00:31:45,280 --> 00:31:47,520 Speaker 2: A few I do, But actually I tell you what 623 00:31:47,560 --> 00:31:50,320 Speaker 2: I mostly get and it's very heartening. But it's also 624 00:31:50,360 --> 00:31:52,680 Speaker 2: a sense of truly and you'll know this having run 625 00:31:53,320 --> 00:31:56,360 Speaker 2: for your yourself, you know a sense of responsibility all 626 00:31:56,400 --> 00:31:59,080 Speaker 2: the time. Actually, it's like you've got to I hear 627 00:31:59,160 --> 00:32:01,040 Speaker 2: all the time. You've got to win, You've got to win, 628 00:32:01,080 --> 00:32:04,000 Speaker 2: you've got to save it. There's a desperation here in 629 00:32:04,040 --> 00:32:07,400 Speaker 2: California because it's so bad. Life is such a struggle 630 00:32:07,720 --> 00:32:11,360 Speaker 2: for regular working people, and we got to do it. 631 00:32:11,440 --> 00:32:16,360 Speaker 1: We really do, and a surprise to no one, everybody 632 00:32:16,400 --> 00:32:20,200 Speaker 1: in California is not a rich celebrity. They actually rich 633 00:32:20,280 --> 00:32:23,200 Speaker 1: celebrities actually require to have a lot of working people 634 00:32:23,240 --> 00:32:26,840 Speaker 1: around them because they want to have fancy restaurants and 635 00:32:27,080 --> 00:32:31,600 Speaker 1: they do want to have highways that actually run, and 636 00:32:31,920 --> 00:32:35,680 Speaker 1: movie theaters and everything else and high end shopping, and 637 00:32:35,760 --> 00:32:38,320 Speaker 1: that all requires people. I mean, when I go to 638 00:32:38,440 --> 00:32:40,960 Speaker 1: my ant house in San Diego, I'm like, I don't 639 00:32:41,000 --> 00:32:44,520 Speaker 1: even understand the traffic level here. There are so many 640 00:32:44,600 --> 00:32:47,120 Speaker 1: people in California that deserve better. 641 00:32:47,640 --> 00:32:50,000 Speaker 2: Exactly right, Well. 642 00:32:49,600 --> 00:32:52,560 Speaker 1: We are rooting for you. So tell people because like 643 00:32:52,600 --> 00:32:55,240 Speaker 1: I said, and people hear me say this all the time, 644 00:32:55,280 --> 00:32:59,040 Speaker 1: but California, just like any other state, has a big 645 00:32:59,120 --> 00:33:02,120 Speaker 1: impact on the rest of the country. And oftentimes I 646 00:33:02,120 --> 00:33:05,239 Speaker 1: think people don't give to gubernatorial campaigns because they're like, oh, 647 00:33:05,240 --> 00:33:07,040 Speaker 1: they're not going to Washington. They're not going to have 648 00:33:07,040 --> 00:33:10,600 Speaker 1: an impact on me. I like to tell people these 649 00:33:10,680 --> 00:33:15,960 Speaker 1: really hardcore blue states like California, they send people to Washington. 650 00:33:16,000 --> 00:33:18,680 Speaker 1: Eventually all those people are trying to get there to 651 00:33:18,760 --> 00:33:20,000 Speaker 1: control your entire. 652 00:33:19,840 --> 00:33:22,880 Speaker 2: Life, and they send you know, bad ideas. I mean, 653 00:33:23,360 --> 00:33:27,200 Speaker 2: you know, you know, the woke ideology and the gender extremism, 654 00:33:27,240 --> 00:33:29,959 Speaker 2: the climate stuff, all of that, you know, like I 655 00:33:30,000 --> 00:33:33,040 Speaker 2: sometimes say, they've turned the Democrats have turned California into 656 00:33:33,040 --> 00:33:36,960 Speaker 2: the Wuhan lab of far left extremism and the virus 657 00:33:37,000 --> 00:33:39,120 Speaker 2: that they've cooked on and it's escaped, and it's not 658 00:33:39,200 --> 00:33:41,360 Speaker 2: just affecting us here, it's like the whole country. We 659 00:33:41,440 --> 00:33:42,080 Speaker 2: got to stop it. 660 00:33:42,760 --> 00:33:46,360 Speaker 1: That I will no offense, but yes, we've had people say, well, 661 00:33:46,360 --> 00:33:49,080 Speaker 1: we watch California to see what they're going to bring here. 662 00:33:49,240 --> 00:33:52,200 Speaker 1: And that's been years now that I've heard that. So 663 00:33:52,560 --> 00:33:55,040 Speaker 1: it is like the testing ground of all bad ideas, 664 00:33:55,080 --> 00:33:57,800 Speaker 1: and we know what's coming from California. So we need 665 00:33:57,840 --> 00:33:59,720 Speaker 1: to get you elected. Where do people go to help? 666 00:33:59,760 --> 00:34:02,920 Speaker 2: Thank you Steve Hilton for Governor dot Com f o R. 667 00:34:03,280 --> 00:34:05,440 Speaker 2: Steve Hilton for Governor dot Com. We've got a really 668 00:34:05,440 --> 00:34:08,880 Speaker 2: big and growing volunteer army as well, so I've got 669 00:34:08,920 --> 00:34:11,040 Speaker 2: good energy going into this year. I'm looking forward to it. 670 00:34:11,360 --> 00:34:13,879 Speaker 1: Good well, expose that fraud too. Thank you so much 671 00:34:13,920 --> 00:34:16,919 Speaker 1: for coming on with Thank you, Tudor absolutely, and thank 672 00:34:16,960 --> 00:34:19,560 Speaker 1: you all for listening to the Tutor Dixon Podcast for 673 00:34:19,600 --> 00:34:20,560 Speaker 1: this episode and others. 674 00:34:20,600 --> 00:34:21,080 Speaker 2: To go to the. 675 00:34:21,000 --> 00:34:24,239 Speaker 1: iHeartRadio, app, Apple Podcasts, wherever you get your podcasts. You 676 00:34:24,239 --> 00:34:27,760 Speaker 1: can also watch it on Rumble or YouTube at tutor Dixon, 677 00:34:27,960 --> 00:34:30,480 Speaker 1: but make sure you go to see the Tutor Dixon 678 00:34:30,520 --> 00:34:32,160 Speaker 1: podcast and have a blast day.