1 00:00:00,240 --> 00:00:03,240 Speaker 1: And we continue at one five in the afternoon on 2 00:00:03,320 --> 00:00:07,480 Speaker 1: The John Phillips Show, Mister Randy Weggs in Culver City. 3 00:00:07,760 --> 00:00:12,320 Speaker 2: John in his thirty minute sit down interview with Ashley Zabala, 4 00:00:12,760 --> 00:00:15,880 Speaker 2: Tom Steyer is asked how we can guarantee he will 5 00:00:15,920 --> 00:00:18,520 Speaker 2: be a good steward of all the extra tax money 6 00:00:18,560 --> 00:00:19,599 Speaker 2: he wants to bring in. 7 00:00:20,120 --> 00:00:24,960 Speaker 3: There is a national conversation about government waste and fraud. 8 00:00:25,280 --> 00:00:28,640 Speaker 3: You're talking about a lot of use of taxpayer money, 9 00:00:28,920 --> 00:00:32,360 Speaker 3: potentially billions from closing these corporate loopholes. I mean, what 10 00:00:32,400 --> 00:00:34,919 Speaker 3: will you do to protect these dollars and make sure 11 00:00:34,960 --> 00:00:35,559 Speaker 3: they're efficient? 12 00:00:36,040 --> 00:00:38,159 Speaker 4: You know, I think that's a very fair question nationally. 13 00:00:38,320 --> 00:00:40,080 Speaker 4: I really do, because I think if you're going to 14 00:00:40,080 --> 00:00:42,880 Speaker 4: be the governor and people are going to pay their 15 00:00:43,000 --> 00:00:47,440 Speaker 4: hard earned money in taxes, you have an absolute responsibility 16 00:00:47,479 --> 00:00:50,680 Speaker 4: to steward that money carefully. And so I'll start by 17 00:00:50,720 --> 00:00:52,879 Speaker 4: saying this. You can ask my wife, I am the 18 00:00:52,960 --> 00:00:54,400 Speaker 4: cheapest person you've ever met. 19 00:00:58,480 --> 00:01:01,440 Speaker 2: Vote for Tom Steyer, cheap bastard billionaire. 20 00:01:02,240 --> 00:01:06,520 Speaker 1: Imagine being married to a billionaire and you're ordering a 21 00:01:06,560 --> 00:01:10,720 Speaker 1: Hamburger for lunch and the waitress goes, would you like 22 00:01:10,840 --> 00:01:15,160 Speaker 1: cheese on that and you go yes, and then Hobby 23 00:01:15,280 --> 00:01:18,720 Speaker 1: kicks you under the table and is shaking his head. 24 00:01:19,959 --> 00:01:22,880 Speaker 2: What do you think cheap bastard styre tips at restaurants? 25 00:01:24,280 --> 00:01:26,160 Speaker 1: Oh, he's got to be an awful tipper. 26 00:01:27,720 --> 00:01:30,280 Speaker 2: Do you think when they have the suggestions for the fifteen, 27 00:01:30,440 --> 00:01:34,480 Speaker 2: the eighteen, and the twenty two, he goes for the fourteen. 28 00:01:36,240 --> 00:01:40,440 Speaker 1: Or nothing at all? 29 00:01:40,560 --> 00:01:41,840 Speaker 2: Oh you think he stiffs them? 30 00:01:42,560 --> 00:01:45,800 Speaker 1: Well, there are plenty of rich people and famous people 31 00:01:46,000 --> 00:01:48,600 Speaker 1: who don't think that they should have to pay for anything, 32 00:01:49,560 --> 00:01:52,559 Speaker 1: or they just walk out of the restaurant without going 33 00:01:52,600 --> 00:01:53,680 Speaker 1: into their wallet at all. 34 00:01:55,160 --> 00:01:56,680 Speaker 2: Sty are you ever dining dashed? 35 00:01:57,200 --> 00:01:59,320 Speaker 4: You can ask my wife. I am the cheapest person 36 00:01:59,360 --> 00:02:00,000 Speaker 4: you've ever met. 37 00:02:03,360 --> 00:02:08,040 Speaker 1: I wonder if he flies private or commercial, because when 38 00:02:08,080 --> 00:02:11,639 Speaker 1: you're talking to a billionaire, most of them fly private. 39 00:02:12,800 --> 00:02:16,000 Speaker 1: So if he forces them to buy first class tickets 40 00:02:16,560 --> 00:02:20,919 Speaker 1: on commercial airlines, I'm sure that's him regarding himself as 41 00:02:20,960 --> 00:02:21,800 Speaker 1: being cheap. 42 00:02:25,320 --> 00:02:28,680 Speaker 2: Economy plus, how about that extra legroom, Tommy? 43 00:02:30,240 --> 00:02:34,919 Speaker 1: Okay, if you work in aviation, professional aviation and you've 44 00:02:34,919 --> 00:02:38,480 Speaker 1: ever flown him on a private flight, email us at 45 00:02:38,560 --> 00:02:41,920 Speaker 1: Johnny don't like show at gmail dot com. That's Johnny 46 00:02:41,919 --> 00:02:45,320 Speaker 1: don't like show at gmail dot com. If you're a 47 00:02:45,360 --> 00:02:48,520 Speaker 1: flight attendant or a pilot and he's ever been on 48 00:02:48,520 --> 00:02:52,359 Speaker 1: one of your flights, I would like to know if 49 00:02:52,400 --> 00:02:55,760 Speaker 1: he was in first class or coach, and you can 50 00:02:55,840 --> 00:02:59,679 Speaker 1: email us at Johnny don't like show at gmail dot com. 51 00:03:00,200 --> 00:03:00,880 Speaker 1: Now call us. 52 00:03:01,240 --> 00:03:06,040 Speaker 2: According to the internets and the robots that are running 53 00:03:06,080 --> 00:03:09,560 Speaker 2: Google now, Tom Steyer, when he was running for president, 54 00:03:09,639 --> 00:03:13,960 Speaker 2: said I refuse to fly private, And apparently in of 55 00:03:14,000 --> 00:03:18,880 Speaker 2: twenty eleven Forbes profile, he said he loves to fly Economy. 56 00:03:20,120 --> 00:03:21,280 Speaker 1: Okay, what airline? 57 00:03:22,280 --> 00:03:26,320 Speaker 2: Well, they weren't that clear, because if. 58 00:03:26,200 --> 00:03:29,560 Speaker 1: You're traveling around California and you don't mind flying economy, 59 00:03:30,560 --> 00:03:35,880 Speaker 1: that's Southwest. They're the only ones that'll take you from, 60 00:03:35,920 --> 00:03:44,640 Speaker 1: for example, Ontario to Sacramento or San Diego to Oakland. 61 00:03:45,560 --> 00:03:50,520 Speaker 1: And I can't imagine a billionaire putting themselves through that 62 00:03:50,640 --> 00:03:51,600 Speaker 1: gauntlet of abuse. 63 00:03:52,520 --> 00:03:55,360 Speaker 2: Well, he wouldn't be the only gubernatorial candidate known to 64 00:03:55,360 --> 00:03:56,400 Speaker 2: fly Southwest. 65 00:03:59,400 --> 00:04:02,760 Speaker 1: Oh that's right. We got that clip from when she 66 00:04:02,840 --> 00:04:05,800 Speaker 1: busted into the cockpit demanding the votes of the pilots. 67 00:04:06,320 --> 00:04:09,600 Speaker 2: She bragged about how she bothered everybody on a flight 68 00:04:09,640 --> 00:04:12,360 Speaker 2: to Sacramento to vote for her, and she got five 69 00:04:12,480 --> 00:04:15,800 Speaker 2: votes out of the one hundred and eighty passengers. 70 00:04:16,240 --> 00:04:19,440 Speaker 1: I know a lot of people don't believe politicians, but 71 00:04:19,560 --> 00:04:22,839 Speaker 1: when she says that she harassed everyone on that plane, 72 00:04:22,960 --> 00:04:28,320 Speaker 1: I believe her. Sorry for the noise, I'm cutting carrots now. 73 00:04:28,360 --> 00:04:31,919 Speaker 1: Speaking of the race for governor, we know that Conan 74 00:04:32,000 --> 00:04:35,960 Speaker 1: Nolan of NBC four in Los Angeles is doing sit 75 00:04:36,040 --> 00:04:38,680 Speaker 1: down interviews with many of the top candidates who are 76 00:04:38,720 --> 00:04:42,240 Speaker 1: running for that office, and one that aired recently Randy 77 00:04:42,440 --> 00:04:44,360 Speaker 1: was with Republican Steve Hilton. 78 00:04:44,640 --> 00:04:48,760 Speaker 2: Here is Conan in Hilton. It aired Sunday morning on 79 00:04:49,000 --> 00:04:52,760 Speaker 2: NBC four's news conference Welcome Back. 80 00:04:52,839 --> 00:04:55,719 Speaker 5: Joining us now is Steve Hilton, a candidate for governor 81 00:04:55,720 --> 00:04:58,480 Speaker 5: of California. Prior to that, he was in Silicon Valley 82 00:04:58,520 --> 00:04:59,159 Speaker 5: as a tech entra. 83 00:04:59,480 --> 00:05:05,120 Speaker 2: Conan Silicon Valley. Silicon Valley is Beverly Hills. 84 00:05:05,080 --> 00:05:07,520 Speaker 1: And parts of South Coast Plaza. 85 00:05:07,800 --> 00:05:10,320 Speaker 5: A candidate for governor of California. Prior to that, he 86 00:05:10,480 --> 00:05:13,560 Speaker 5: was in Silicon Valley as a tech entrepreneur. Before that, 87 00:05:13,640 --> 00:05:16,320 Speaker 5: a Fox News host, Actually you're a Fox News host. 88 00:05:16,440 --> 00:05:18,640 Speaker 5: Later yep, worked for David Cameron, who is the Prime 89 00:05:18,640 --> 00:05:21,200 Speaker 5: Minister of the United Kingdom now a US citizen and 90 00:05:21,240 --> 00:05:23,120 Speaker 5: a candidate. Thank you very much for joining us. Great 91 00:05:23,160 --> 00:05:25,320 Speaker 5: to be So you're leading a lot of the polls. 92 00:05:25,960 --> 00:05:28,600 Speaker 5: So we're going to get to some of the issues. 93 00:05:28,600 --> 00:05:30,320 Speaker 5: But first, let me talk a little politics. 94 00:05:30,600 --> 00:05:34,680 Speaker 1: Okay, let's posit here for a second. This is apropole 95 00:05:34,760 --> 00:05:37,880 Speaker 1: of nothing related to this interview. But if you live 96 00:05:37,920 --> 00:05:41,800 Speaker 1: in Silicon Valley, when people call it Silicone Valley, do 97 00:05:41,839 --> 00:05:45,360 Speaker 1: you correct them? Eight hundred two to two two five 98 00:05:45,480 --> 00:05:47,240 Speaker 1: two two two. Okay, go back to it. 99 00:05:47,960 --> 00:05:49,039 Speaker 2: Phones are going to blow up. 100 00:05:49,960 --> 00:05:53,520 Speaker 5: You've been trying to talk Chad Bianco, the Riverside County sheriff, 101 00:05:53,560 --> 00:05:56,000 Speaker 5: who's also a Republican, into dropping out of the race 102 00:05:56,600 --> 00:05:59,240 Speaker 5: to solidify I guess the Republican base around you. 103 00:05:59,320 --> 00:05:59,880 Speaker 6: Why is that? 104 00:06:00,360 --> 00:06:02,400 Speaker 7: So we've got to start from the point that I 105 00:06:02,440 --> 00:06:05,120 Speaker 7: think so many people agree with everyone watching I think 106 00:06:05,120 --> 00:06:06,200 Speaker 7: will agree, which. 107 00:06:06,000 --> 00:06:08,120 Speaker 6: Is it's time for change in California. 108 00:06:08,400 --> 00:06:12,320 Speaker 7: We've had sixteen years of one party rule by the Democrats, 109 00:06:12,520 --> 00:06:13,560 Speaker 7: and what are the results. 110 00:06:13,880 --> 00:06:15,520 Speaker 6: We've got the highest cost. 111 00:06:15,279 --> 00:06:19,520 Speaker 7: Of living in America, highest gas prices, electric rent, insurance, 112 00:06:19,560 --> 00:06:20,719 Speaker 7: everything off the charts. 113 00:06:20,880 --> 00:06:24,960 Speaker 1: We're number one something to brag about. 114 00:06:25,120 --> 00:06:32,479 Speaker 7: The highest poverty rate, we're number one, the highest unemployment rate, 115 00:06:32,640 --> 00:06:36,120 Speaker 7: the worst business climate, on and on. It's obviously time 116 00:06:36,160 --> 00:06:38,719 Speaker 7: for change now if you look at this top two 117 00:06:38,760 --> 00:06:42,000 Speaker 7: system that we have in California. Yes, it's true that 118 00:06:42,040 --> 00:06:44,080 Speaker 7: I'm leading in the polls, and I'm very happy about that, 119 00:06:44,360 --> 00:06:46,520 Speaker 7: leading in fundraising, winning the TV debates. 120 00:06:46,560 --> 00:06:47,120 Speaker 6: That's all good. 121 00:06:47,560 --> 00:06:52,400 Speaker 7: But actually it's a possibility that rather than having a 122 00:06:52,440 --> 00:06:56,159 Speaker 7: real choice in the general election in November, the people 123 00:06:56,160 --> 00:06:59,200 Speaker 7: of California might be faced with two Democrats. 124 00:07:00,120 --> 00:07:03,360 Speaker 2: This is completely different when everyone else is saying, Okay, 125 00:07:03,400 --> 00:07:04,040 Speaker 2: I think he's a. 126 00:07:03,960 --> 00:07:08,640 Speaker 1: Little bit paranoid about this, because the number one scenario 127 00:07:09,480 --> 00:07:13,360 Speaker 1: of two members of the same party making it to 128 00:07:13,400 --> 00:07:17,360 Speaker 1: the November ballot is two Republicans. That is far more 129 00:07:17,480 --> 00:07:20,960 Speaker 1: likely than two Democrats making the November ballot. And I 130 00:07:21,080 --> 00:07:23,840 Speaker 1: understand that he and Bianco are both work in the 131 00:07:23,880 --> 00:07:26,600 Speaker 1: same corner, so their rivals, so you don't want to 132 00:07:26,640 --> 00:07:31,679 Speaker 1: say anything good about arrival. But for California Republicans whose 133 00:07:31,800 --> 00:07:35,480 Speaker 1: names are not Chad Bianco or Steve Hilton, the best 134 00:07:35,520 --> 00:07:38,880 Speaker 1: case scenario is to have them both on the November ballot, 135 00:07:39,920 --> 00:07:43,120 Speaker 1: because when you look at this field of candidates, there 136 00:07:43,160 --> 00:07:46,080 Speaker 1: are only four of them that are even remotely talking 137 00:07:46,160 --> 00:07:51,480 Speaker 1: about California issues. The two Republicans Bianco and Hilton, and 138 00:07:51,560 --> 00:07:57,000 Speaker 1: two Democrats, Mayhan and via Rigosa, And so far Mayhan 139 00:07:57,200 --> 00:08:00,520 Speaker 1: and via Rigosa haven't polled in the top two yet. 140 00:08:01,320 --> 00:08:04,040 Speaker 1: So if you want a candidate who's going to talk 141 00:08:04,080 --> 00:08:08,920 Speaker 1: about California subjects and we'll take the state in a 142 00:08:08,920 --> 00:08:14,520 Speaker 1: different direction, the best case scenario is having Bianco and Hilton, 143 00:08:15,800 --> 00:08:19,160 Speaker 1: and you don't get that if Bianco drops out of 144 00:08:19,160 --> 00:08:22,320 Speaker 1: the race. You need them both in. And what you 145 00:08:22,440 --> 00:08:25,200 Speaker 1: need is you need Republican voters to come as close 146 00:08:25,240 --> 00:08:29,960 Speaker 1: as possible to splitting their vote between the two of them, which. 147 00:08:29,920 --> 00:08:33,360 Speaker 6: Means there's no chance of change. And the reason for that. 148 00:08:33,640 --> 00:08:36,959 Speaker 7: Is the Republican vote is currently being split between me 149 00:08:37,440 --> 00:08:38,320 Speaker 7: and Chad Bianco. 150 00:08:38,559 --> 00:08:39,640 Speaker 6: So my argument is. 151 00:08:39,679 --> 00:08:41,640 Speaker 2: He doesn't want he want to buy into the Republican 152 00:08:41,679 --> 00:08:44,680 Speaker 2: on Republican fantasy. 153 00:08:46,520 --> 00:08:49,560 Speaker 1: And let me tell you, like other fantasies that is 154 00:08:49,600 --> 00:08:50,760 Speaker 1: all over the internet. 155 00:08:51,280 --> 00:08:54,720 Speaker 7: To make sure we have a chance for change in California, 156 00:08:54,920 --> 00:08:58,320 Speaker 7: we've got to get behind the strongest Republican candidate, and 157 00:08:58,360 --> 00:08:58,720 Speaker 7: that's me. 158 00:08:59,280 --> 00:09:02,040 Speaker 5: Let's get into that you say they want change. The 159 00:09:02,160 --> 00:09:06,480 Speaker 5: voters of the state overwhelmingly, overwhelmingly, just a few months 160 00:09:06,520 --> 00:09:10,560 Speaker 5: ago voted for Proposition fifty to reapportion the districts of 161 00:09:10,600 --> 00:09:13,000 Speaker 5: California so that we got five more Democratic seats. 162 00:09:13,040 --> 00:09:15,600 Speaker 2: Yeah, it was a blowout. They decided that went on 163 00:09:15,679 --> 00:09:16,400 Speaker 2: election night. 164 00:09:17,000 --> 00:09:20,360 Speaker 1: But here's the difference. Though, that was framed as a 165 00:09:20,440 --> 00:09:24,720 Speaker 1: federal election that was only dealing with federal offices, members 166 00:09:24,760 --> 00:09:27,560 Speaker 1: of the Congress. It had nothing to do with members 167 00:09:27,559 --> 00:09:31,199 Speaker 1: of the state legislature and nothing to do with state politics. 168 00:09:31,559 --> 00:09:34,600 Speaker 1: That had to do with what was going on in Washington, DC, 169 00:09:35,120 --> 00:09:38,560 Speaker 1: and the state voted against Trump three times. So if 170 00:09:38,600 --> 00:09:40,880 Speaker 1: you frame it that way, we know what the results 171 00:09:40,880 --> 00:09:41,400 Speaker 1: are going to be. 172 00:09:42,120 --> 00:09:45,680 Speaker 5: Yeah, that was a message to Donald Trump and Washington DC. 173 00:09:46,280 --> 00:09:49,120 Speaker 5: You believe that millions of voters will change their mind 174 00:09:49,720 --> 00:09:51,240 Speaker 5: a few months later and say, you know what, we 175 00:09:51,240 --> 00:09:54,480 Speaker 5: were wrong, We should support a pro Trump Republican for governor. 176 00:09:54,600 --> 00:09:57,920 Speaker 7: Well, that election wasn't about gas prices, it wasn't about 177 00:09:57,920 --> 00:10:00,600 Speaker 7: electric bills, it wasn't about the rent U pay what 178 00:10:00,640 --> 00:10:03,880 Speaker 7: you pay for groceries, all these practical things that are 179 00:10:03,920 --> 00:10:07,400 Speaker 7: making life so hot for regular Californias. For everyone watching, 180 00:10:07,640 --> 00:10:11,040 Speaker 7: who's really struggling small business owners like I used to be. 181 00:10:11,160 --> 00:10:12,400 Speaker 6: I used to run restaurants. 182 00:10:12,520 --> 00:10:15,319 Speaker 7: You go and talk to restaurant owners in California today, 183 00:10:15,440 --> 00:10:18,560 Speaker 7: it's a nightmare. And so that's what this election will 184 00:10:18,559 --> 00:10:21,960 Speaker 7: be about, not some argument about districts that doesn't really 185 00:10:22,000 --> 00:10:23,720 Speaker 7: relate to people's daily lives. 186 00:10:23,800 --> 00:10:26,360 Speaker 2: Oh, don't you worry. If it's a Republican versus Democrat, 187 00:10:26,440 --> 00:10:29,480 Speaker 2: they will make every single thing about it a national issue. 188 00:10:29,760 --> 00:10:34,160 Speaker 1: Well, and this is also part of it, because I 189 00:10:34,240 --> 00:10:37,920 Speaker 1: do not believe that Democratic voters are willing to change 190 00:10:37,960 --> 00:10:41,760 Speaker 1: their voting patterns even in a state election. I think 191 00:10:41,800 --> 00:10:44,800 Speaker 1: that they are consumed with their hatred for Donald Trump 192 00:10:45,080 --> 00:10:48,160 Speaker 1: and they can't get beyond that, Which is why we 193 00:10:48,280 --> 00:10:52,319 Speaker 1: have to take advantage of this top two primary unless 194 00:10:52,320 --> 00:10:55,280 Speaker 1: it ed till one of those Democratic candidates who's talking 195 00:10:55,320 --> 00:10:59,280 Speaker 1: about California issues starts to break away from the pack 196 00:10:59,360 --> 00:11:02,800 Speaker 1: and starts to well, this is our only option at 197 00:11:02,840 --> 00:11:06,800 Speaker 1: any kind of reform in California, having two Republicans, and 198 00:11:06,840 --> 00:11:11,920 Speaker 1: we can do that without Democratic voters signing on. They 199 00:11:11,960 --> 00:11:16,640 Speaker 1: just have to split their votes enough to where Bianco 200 00:11:16,760 --> 00:11:18,800 Speaker 1: and Hilton can finish in the top two. 201 00:11:19,559 --> 00:11:22,480 Speaker 7: That's why this is different. This year is different, and 202 00:11:22,720 --> 00:11:24,360 Speaker 7: it's not going to be about Trump. It's not going 203 00:11:24,440 --> 00:11:25,440 Speaker 7: to be about any of those things. 204 00:11:25,520 --> 00:11:27,320 Speaker 2: It's going to be No, it'll still be about Trump. 205 00:11:28,760 --> 00:11:32,599 Speaker 1: Well, that's what the top three Democratic candidates are talking about, 206 00:11:33,360 --> 00:11:35,680 Speaker 1: and that's why you have the two who are talking 207 00:11:35,720 --> 00:11:42,040 Speaker 1: about California issues lagging behind them, because they think, as 208 00:11:42,160 --> 00:11:47,040 Speaker 1: Steve Hilton does, that people Democratic voters care about state 209 00:11:47,080 --> 00:11:49,320 Speaker 1: and local issues. I've seen no evidence of that. 210 00:11:50,000 --> 00:11:53,200 Speaker 2: Here's the most common thing that we've seen from every 211 00:11:53,320 --> 00:11:58,040 Speaker 2: single poll. Most people don't even know there's an election 212 00:11:58,320 --> 00:12:01,000 Speaker 2: happening because they're so focused it's done, what's going on 213 00:12:01,160 --> 00:12:03,120 Speaker 2: nationally and internationally. 214 00:12:03,559 --> 00:12:06,199 Speaker 1: Well, when I talk to friends of mine who are 215 00:12:06,200 --> 00:12:11,079 Speaker 1: Democratic voters about the problems in California, I pretty much 216 00:12:11,120 --> 00:12:13,679 Speaker 1: get the same answer from all of them, which is 217 00:12:13,840 --> 00:12:17,280 Speaker 1: they acknowledge that crime is a mess. They acknowledge that 218 00:12:17,320 --> 00:12:20,800 Speaker 1: homelessness is a mess. They acknowledge that the state looks dirty. 219 00:12:21,160 --> 00:12:24,480 Speaker 1: They acknowledge that the high speed rail is a complete disaster, 220 00:12:25,080 --> 00:12:28,040 Speaker 1: they acknowledge that we've screwed up the insurance market in 221 00:12:28,080 --> 00:12:30,560 Speaker 1: this state. But they won't change the way that they're 222 00:12:30,640 --> 00:12:34,840 Speaker 1: voting because they regard themselves as partisan Democrats. Well, you 223 00:12:34,880 --> 00:12:37,800 Speaker 1: can complain about it all you want. If you don't 224 00:12:37,920 --> 00:12:39,720 Speaker 1: change the way you vote, you're not going to get 225 00:12:39,760 --> 00:12:43,839 Speaker 1: a different result. So they're not offended enough to change 226 00:12:43,880 --> 00:12:47,480 Speaker 1: how they vote, and in lessen until they're offended enough 227 00:12:47,520 --> 00:12:50,000 Speaker 1: to change how they vote, you're going to have to 228 00:12:50,000 --> 00:12:52,840 Speaker 1: figure out how to fix the state without them, because 229 00:12:52,880 --> 00:12:53,920 Speaker 1: they're not going to help you. 230 00:12:54,960 --> 00:12:57,560 Speaker 7: It's going to be about who will make the changes 231 00:12:57,920 --> 00:13:00,840 Speaker 7: to cut the bloat and the bureaucracy corruption in our 232 00:13:00,880 --> 00:13:04,240 Speaker 7: government so we can cut taxes and cut costs for 233 00:13:04,280 --> 00:13:05,240 Speaker 7: everyone in California. 234 00:13:05,400 --> 00:13:06,760 Speaker 2: Right, it is about Donald Trump. 235 00:13:06,800 --> 00:13:09,280 Speaker 5: Donald Trump dominates the political landscape and he has for 236 00:13:09,320 --> 00:13:11,720 Speaker 5: the past ten years. That's what that vote of Proposition 237 00:13:11,800 --> 00:13:13,920 Speaker 5: fifty was. And the governor has gone out of his 238 00:13:14,000 --> 00:13:16,560 Speaker 5: way to be the leader of the opposition. This governor, 239 00:13:16,640 --> 00:13:20,160 Speaker 5: right now, would you welcome immigration Customs enforcement to continue 240 00:13:20,160 --> 00:13:22,880 Speaker 5: interior enforcement in the cities of California. 241 00:13:22,960 --> 00:13:25,599 Speaker 6: So, I'm a legal immigrant, and I've said very clearly. 242 00:13:26,000 --> 00:13:28,240 Speaker 2: He's British, so I know sometimes it's hard to tell. 243 00:13:28,320 --> 00:13:31,880 Speaker 2: He said he is a legal immigrant. 244 00:13:32,960 --> 00:13:33,880 Speaker 1: Starting with an L. 245 00:13:34,600 --> 00:13:36,880 Speaker 7: So I'm a legal immigrant, and I've said very clearly, 246 00:13:37,040 --> 00:13:39,840 Speaker 7: I'm the candidate of the legal immigrant community. 247 00:13:40,040 --> 00:13:41,640 Speaker 6: For the legal immigrant community. 248 00:13:41,920 --> 00:13:45,760 Speaker 7: My parents were refugees from communism in Hungary. Both my 249 00:13:45,800 --> 00:13:48,800 Speaker 7: parents are Hungarian. I grew up in a working class household, 250 00:13:49,120 --> 00:13:50,840 Speaker 7: in an immigrant household in the UK. 251 00:13:51,120 --> 00:13:52,200 Speaker 6: Now I'm an immigrant here. 252 00:13:52,240 --> 00:13:56,160 Speaker 7: I'm one hundred percent in favor of legal immigration. But 253 00:13:56,240 --> 00:13:58,400 Speaker 7: the other thing we have to look at is that 254 00:13:58,800 --> 00:14:02,040 Speaker 7: right now in California, we have the highest unemployment rate 255 00:14:02,080 --> 00:14:04,480 Speaker 7: in the country. So it doesn't make sense to me 256 00:14:04,760 --> 00:14:08,080 Speaker 7: that we say, let's import all these cheap foreign workers 257 00:14:08,200 --> 00:14:11,520 Speaker 7: when we've got millions of Californians who are not working. 258 00:14:11,880 --> 00:14:15,120 Speaker 7: We're paying them welfare, which is costing taxpayers a fortune. 259 00:14:15,240 --> 00:14:17,760 Speaker 7: Something's not right in the way we've been handling this is. 260 00:14:17,960 --> 00:14:22,640 Speaker 5: How many of those of those unemployed Californians do you 261 00:14:22,680 --> 00:14:24,520 Speaker 5: think would take a job in the farm fields of 262 00:14:24,560 --> 00:14:27,240 Speaker 5: the Central Valley picking zero? 263 00:14:28,360 --> 00:14:30,600 Speaker 1: Well, that is a question, by the way, that I 264 00:14:30,640 --> 00:14:33,800 Speaker 1: think is going to be resolved by technology. I think 265 00:14:33,960 --> 00:14:36,280 Speaker 1: in very short order, there's going to be zero people 266 00:14:36,320 --> 00:14:39,960 Speaker 1: out there picking those fruits and picking those vegetables and 267 00:14:40,600 --> 00:14:44,040 Speaker 1: dealing with the nuts and everything else, because AI is 268 00:14:44,080 --> 00:14:48,200 Speaker 1: going to take over all of those monotonous, repetitive jobs. 269 00:14:48,280 --> 00:14:50,200 Speaker 2: And Steve Hilton would agree with you. 270 00:14:50,280 --> 00:14:51,760 Speaker 6: So I well, a couple of things. 271 00:14:51,760 --> 00:14:54,480 Speaker 7: So, first of all, if I was up with a 272 00:14:54,560 --> 00:14:57,760 Speaker 7: dairy farm, for example, up near Modesta in the Central. 273 00:14:57,520 --> 00:14:59,320 Speaker 6: Valley, a couple of months ago, go nuts. 274 00:15:00,920 --> 00:15:03,520 Speaker 7: Talking to the farm workers there, the dairy workers, they 275 00:15:03,560 --> 00:15:07,200 Speaker 7: were pointing out that their girlfriends make more money on 276 00:15:07,280 --> 00:15:08,240 Speaker 7: welfare than they do. 277 00:15:11,280 --> 00:15:15,080 Speaker 1: Wait, so the girlfriends are on welfare. That's why they're 278 00:15:15,120 --> 00:15:15,920 Speaker 1: working at the dairy. 279 00:15:16,160 --> 00:15:18,800 Speaker 2: That's why they're not married, because if you're married, then 280 00:15:18,840 --> 00:15:19,880 Speaker 2: you don't get that welfare. 281 00:15:22,680 --> 00:15:25,760 Speaker 1: Wait a minute, if you're not married though, So they're 282 00:15:25,760 --> 00:15:28,880 Speaker 1: on the welfare and you're working at the dairy, So 283 00:15:28,960 --> 00:15:30,760 Speaker 1: you're living in sin, correct. 284 00:15:31,040 --> 00:15:33,600 Speaker 2: Yes, they're milking the cows. She's milking the system. 285 00:15:34,760 --> 00:15:36,680 Speaker 1: Yeah, what's the saying, Why buy the cow if you 286 00:15:36,680 --> 00:15:37,640 Speaker 1: get the milk for free. 287 00:15:38,960 --> 00:15:41,560 Speaker 7: Talking to the farm workers there, the dairy workers, they 288 00:15:41,600 --> 00:15:45,240 Speaker 7: were pointing out that their girlfriends make more money on 289 00:15:45,320 --> 00:15:47,720 Speaker 7: welfare than they do. And that doesn't make sense that 290 00:15:47,720 --> 00:15:50,040 Speaker 7: we're paying people so much money that they don't want 291 00:15:50,080 --> 00:15:52,280 Speaker 7: to what I spoke to a construction worker at. 292 00:15:52,240 --> 00:15:55,280 Speaker 1: This Okay, if you are the girlfriend of a guy 293 00:15:55,320 --> 00:16:00,120 Speaker 1: who works at the dairy and your sole purpose in life, 294 00:16:00,240 --> 00:16:06,280 Speaker 1: your sole income comes from welfare. How many tattoos do 295 00:16:06,320 --> 00:16:11,040 Speaker 1: you think that they have on their cleavage? Just give 296 00:16:11,040 --> 00:16:17,400 Speaker 1: me a ballpark number five, we'll go with that. 297 00:16:18,040 --> 00:16:21,240 Speaker 7: The State Fair in Sacramento. So he's been laid off 298 00:16:21,520 --> 00:16:25,200 Speaker 7: because the employers are now hiring illegal immigrant workers that 299 00:16:25,240 --> 00:16:26,360 Speaker 7: they don't have to pay healthcare. 300 00:16:26,520 --> 00:16:27,840 Speaker 6: They don't have to pay all these costs. 301 00:16:27,920 --> 00:16:31,600 Speaker 2: We don't even hire naturalized carnies. 302 00:16:35,440 --> 00:16:37,200 Speaker 7: They don't have to pay all these costs, don't have 303 00:16:37,240 --> 00:16:40,160 Speaker 7: to pay proper taxes. That is not fair to regular 304 00:16:40,200 --> 00:16:44,280 Speaker 7: California's automation in the farming industry is going to make. 305 00:16:44,160 --> 00:16:44,920 Speaker 6: A huge difference. 306 00:16:45,080 --> 00:16:46,920 Speaker 2: I think that's something. By the way, you'd have to 307 00:16:47,000 --> 00:16:49,920 Speaker 2: change state law. The Farm Workers Unit has made it 308 00:16:50,000 --> 00:16:53,680 Speaker 2: so right now it is illegal to have farming robots. 309 00:16:54,280 --> 00:16:57,320 Speaker 1: Yeah. Well, I think the name Caesar Chavez is a 310 00:16:57,440 --> 00:16:59,840 Speaker 1: name that doesn't carry the weight that it used to carry. 311 00:17:00,240 --> 00:17:03,120 Speaker 7: I was at the World ag Expo in Tallarry just 312 00:17:03,160 --> 00:17:06,600 Speaker 7: the other week. It's amazing what is happening in terms 313 00:17:06,600 --> 00:17:07,760 Speaker 7: of picking the crops. 314 00:17:07,760 --> 00:17:08,159 Speaker 6: That's the thing. 315 00:17:08,240 --> 00:17:10,879 Speaker 7: Nancy Pelosi said, Who's gonna pick our crops if we 316 00:17:10,920 --> 00:17:12,160 Speaker 7: don't have a legal immigration. 317 00:17:12,359 --> 00:17:14,080 Speaker 6: The answer I saw it for myself. 318 00:17:14,840 --> 00:17:17,720 Speaker 7: Automation is taking care of that in five years, just 319 00:17:17,800 --> 00:17:18,200 Speaker 7: your way. 320 00:17:18,600 --> 00:17:20,920 Speaker 2: You you know what, This is definitely the way the 321 00:17:21,359 --> 00:17:23,159 Speaker 2: world is going to work. But you think the unions 322 00:17:23,160 --> 00:17:25,680 Speaker 2: are gonna sit down and just take this. They're gonna 323 00:17:25,680 --> 00:17:27,600 Speaker 2: find a way to unionize the robots. 324 00:17:30,040 --> 00:17:32,960 Speaker 1: They're gonna fight it tooth the deal. But it's just 325 00:17:33,040 --> 00:17:36,639 Speaker 1: gonna be everywhere you go. It's gonna be robots at 326 00:17:36,640 --> 00:17:40,040 Speaker 1: clean hotel rooms. It's gonna be robots preparing food. It's 327 00:17:40,040 --> 00:17:42,720 Speaker 1: gonna be robots and AI doing all that stuff. 328 00:17:43,280 --> 00:17:46,480 Speaker 2: In the next decade, thirty percent of jobs could be gone. 329 00:17:47,520 --> 00:17:48,880 Speaker 1: I think it's gonna be more than that. 330 00:17:49,640 --> 00:17:50,479 Speaker 6: Is taking care of that. 331 00:17:50,520 --> 00:17:53,680 Speaker 7: In five years, most of that farm work will be automated. 332 00:17:53,920 --> 00:17:56,840 Speaker 8: Moving on to housing was about measures that sounded like 333 00:17:56,840 --> 00:18:01,600 Speaker 8: an edit conan, give me the full club, buddy, put 334 00:18:01,600 --> 00:18:04,920 Speaker 8: those raw unedited interviews like Zavala is doing. 335 00:18:05,760 --> 00:18:07,760 Speaker 2: That's what I listened to when I do my meal prep. 336 00:18:08,640 --> 00:18:11,560 Speaker 5: Moving on to housing was about measure. Now, there's a 337 00:18:11,600 --> 00:18:14,679 Speaker 5: state law signed by the governor, passed barely by the 338 00:18:14,760 --> 00:18:18,680 Speaker 5: legislature which bigfoots local control over zoning when it comes 339 00:18:18,680 --> 00:18:22,400 Speaker 5: to housing at transit stops and are on transit corridors. 340 00:18:22,520 --> 00:18:26,520 Speaker 2: That's SB seventy nine, Oh mine, Did you support that bill? 341 00:18:26,680 --> 00:18:30,920 Speaker 7: No, I'm strongly against it. I'm strongly against this ideology 342 00:18:30,920 --> 00:18:33,480 Speaker 7: that we've had from the Democrats, which says that the 343 00:18:33,560 --> 00:18:37,159 Speaker 7: only thing that you're allowed to build basically in California 344 00:18:37,240 --> 00:18:40,600 Speaker 7: is apartment buildings. We can only build upwards, we can't 345 00:18:40,600 --> 00:18:43,560 Speaker 7: build outwards. I'm on the road the whole time in California. 346 00:18:43,760 --> 00:18:47,399 Speaker 7: There are so many places that want to build, that 347 00:18:47,480 --> 00:18:51,600 Speaker 7: want to build single family homes to restore that California dream, an. 348 00:18:51,400 --> 00:18:53,800 Speaker 6: Ice house with a yard where your kids can play. 349 00:18:53,920 --> 00:18:56,240 Speaker 7: We don't want to be shoved into boxes like this 350 00:18:56,400 --> 00:19:00,560 Speaker 7: is New York on Miami. That's not California. It's anti California. 351 00:19:00,680 --> 00:19:03,679 Speaker 7: And it's this climate ideology that's driving it. 352 00:19:03,920 --> 00:19:06,000 Speaker 5: There's an effort to put on the babbot. 353 00:19:06,040 --> 00:19:08,080 Speaker 1: Could you imagine, by the way, living in some of 354 00:19:08,119 --> 00:19:11,240 Speaker 1: that multi use housing where there's a seven to eleven 355 00:19:11,480 --> 00:19:14,720 Speaker 1: on the ground floor and you're up somewhere in the sky, 356 00:19:15,880 --> 00:19:19,240 Speaker 1: and then some pack of teams decides they're going to 357 00:19:19,320 --> 00:19:22,200 Speaker 1: steal a Kia and drive right through the front wall 358 00:19:22,200 --> 00:19:22,960 Speaker 1: of your building. 359 00:19:23,640 --> 00:19:25,720 Speaker 2: You know there's a building I've driven past it a 360 00:19:25,760 --> 00:19:28,919 Speaker 2: few times in Sherman Oaks where it's an apartment building 361 00:19:28,920 --> 00:19:31,199 Speaker 2: that's on top of a Trader Joe's. And while that 362 00:19:31,359 --> 00:19:34,120 Speaker 2: sounds like the most convenient thing of all time, you're 363 00:19:34,160 --> 00:19:36,399 Speaker 2: never ever ever going to sleep because of all the 364 00:19:36,440 --> 00:19:38,960 Speaker 2: parking disputes that are going to happen in that lot. 365 00:19:39,160 --> 00:19:40,720 Speaker 1: It's a wake up call of sorts. 366 00:19:41,440 --> 00:19:44,080 Speaker 2: There you go, Steve Hilton running for Governor. 367 00:19:44,600 --> 00:19:47,960 Speaker 1: Eight hundred two two two five two two two is 368 00:19:47,960 --> 00:19:51,160 Speaker 1: the telephone number one eight hundred two two two five 369 00:19:51,240 --> 00:19:53,720 Speaker 1: two two two. If you'd like to email the show, 370 00:19:53,760 --> 00:19:55,800 Speaker 1: you can do so at Johnny Don't Like show at 371 00:19:55,800 --> 00:19:59,320 Speaker 1: gmail dot com. That's Johnny Don't Like Show at gmail 372 00:19:59,600 --> 00:20:03,520 Speaker 1: dot com. And Randy, not only did we have Spencer Pratt, 373 00:20:03,600 --> 00:20:06,960 Speaker 1: candidate for LA Mayor on last week, we also had 374 00:20:07,000 --> 00:20:10,879 Speaker 1: former LA mayor and current candidate for Governor, Antonio vi 375 00:20:11,040 --> 00:20:14,399 Speaker 1: Rigosa on. And if you missed both of those interviews, 376 00:20:14,680 --> 00:20:16,639 Speaker 1: you can go back and listen to the podcast. 377 00:20:17,359 --> 00:20:19,560 Speaker 2: All you got to do is search for the John 378 00:20:19,600 --> 00:20:23,200 Speaker 2: Phillips Show wherever you get your podcasts, whether that's the 379 00:20:23,359 --> 00:20:28,760 Speaker 2: Apple podcast app, iHeart, Spotify, search for the John Phillips Show, 380 00:20:29,080 --> 00:20:32,920 Speaker 2: hit subscribe you could download all the episodes. If you're 381 00:20:32,960 --> 00:20:35,840 Speaker 2: not subscribed right now, do it today. It'll just make 382 00:20:35,880 --> 00:20:37,720 Speaker 2: your life easier. In case you want to go back 383 00:20:37,720 --> 00:20:40,119 Speaker 2: and listen to something you already heard, you want to 384 00:20:40,119 --> 00:20:42,520 Speaker 2: go back and catch something that you didn't get to hear, 385 00:20:43,000 --> 00:20:45,240 Speaker 2: or you want to take something that you really enjoyed 386 00:20:45,280 --> 00:20:47,119 Speaker 2: and you want to share it with your friends, with 387 00:20:47,200 --> 00:20:50,000 Speaker 2: your family, with your social group. You can do that 388 00:20:50,040 --> 00:20:52,879 Speaker 2: with our interview with Tony V by search for The 389 00:20:52,960 --> 00:20:56,119 Speaker 2: John Phillips Show wherever you get your podcast and sharing 390 00:20:56,200 --> 00:20:58,679 Speaker 2: them with your friends so we can hear more. People 391 00:20:58,880 --> 00:21:03,560 Speaker 2: listen to when John interviewed mister Peanut no Pinut. 392 00:21:05,920 --> 00:21:09,679 Speaker 1: So we know that drones are used by perverts to 393 00:21:09,920 --> 00:21:13,959 Speaker 1: spy on nude sun bathers. We know that drones are 394 00:21:14,040 --> 00:21:17,280 Speaker 1: used by insurance companies to drop you from your policy. 395 00:21:18,240 --> 00:21:21,840 Speaker 1: But in San Francisco, drones are now being used to 396 00:21:21,920 --> 00:21:22,880 Speaker 1: fight crime. 397 00:21:23,000 --> 00:21:25,959 Speaker 2: And it's working. For more on this, we go to 398 00:21:26,000 --> 00:21:29,960 Speaker 2: ABC seven and they're building a better Bay Area. Reporter 399 00:21:30,400 --> 00:21:31,600 Speaker 2: Leanne Melendez. 400 00:21:32,119 --> 00:21:34,720 Speaker 9: Francisco continues to see a decline in crime, which is 401 00:21:34,760 --> 00:21:38,560 Speaker 9: partially attributed to the adoption of new technologies like drones. 402 00:21:38,680 --> 00:21:40,960 Speaker 10: Now, some say they're an invasion of privacy. 403 00:21:41,000 --> 00:21:43,919 Speaker 2: Police say, yeah, you know who says that public defenders 404 00:21:43,960 --> 00:21:49,280 Speaker 2: and criminals. I'm sorry. In twenty twenty six, nobody can 405 00:21:49,320 --> 00:21:52,240 Speaker 2: claim that they care about their privacy anymore. We all 406 00:21:52,280 --> 00:21:55,320 Speaker 2: have a phone that is an active listening device in 407 00:21:55,400 --> 00:21:58,560 Speaker 2: our pockets, listening to every single word that we say. 408 00:21:58,960 --> 00:22:00,720 Speaker 2: I bet you right now. So if you opened up 409 00:22:00,760 --> 00:22:06,240 Speaker 2: your Instagram, you'd see ads for Planter's Peanuts. 410 00:22:07,359 --> 00:22:10,240 Speaker 10: Now some say they're an invasion of privacy. Police say 411 00:22:10,400 --> 00:22:13,560 Speaker 10: they're effective at capturing criminals, are building a better Bay Area. 412 00:22:13,600 --> 00:22:16,280 Speaker 10: Reporter land, what is here with the impact and you 413 00:22:16,280 --> 00:22:17,640 Speaker 10: could see both sides of the situation. 414 00:22:17,880 --> 00:22:22,200 Speaker 9: Yeah, but remember that people in San Francisco wanted this. 415 00:22:22,359 --> 00:22:25,720 Speaker 9: They wanted the drones. Now police say it's not only 416 00:22:25,760 --> 00:22:29,120 Speaker 9: about law enforcement. The drones also assist. 417 00:22:29,080 --> 00:22:32,199 Speaker 2: Other fst You guys got to squeak that chair that 418 00:22:32,280 --> 00:22:35,080 Speaker 2: sounds like my old chair. Get a little WD forty 419 00:22:35,080 --> 00:22:35,440 Speaker 2: in there. 420 00:22:35,520 --> 00:22:39,879 Speaker 9: The drones also assist other first responders like firefighters and 421 00:22:39,920 --> 00:22:43,440 Speaker 9: rescue teams. But some is this that it's one more 422 00:22:43,480 --> 00:22:47,600 Speaker 9: example that we are living in Orwell's nineteen eighty four. 423 00:22:47,920 --> 00:22:51,560 Speaker 1: Oh we're well past it. Oh yeah, that book didn't 424 00:22:51,560 --> 00:22:52,440 Speaker 1: know the half of it. 425 00:22:54,480 --> 00:22:57,439 Speaker 2: That book didn't know that we would willingly post every 426 00:22:57,520 --> 00:23:00,360 Speaker 2: detail about our lives online incess. 427 00:23:01,560 --> 00:23:04,240 Speaker 1: Including what items we eat. 428 00:23:05,880 --> 00:23:08,040 Speaker 2: Hey, what are you talking about? 429 00:23:11,200 --> 00:23:12,560 Speaker 1: How was the salmon last night? 430 00:23:12,720 --> 00:23:13,320 Speaker 2: It was good? 431 00:23:14,480 --> 00:23:14,840 Speaker 4: Stop. 432 00:23:15,320 --> 00:23:17,920 Speaker 11: One of the suspects jumped a fence into a residential 433 00:23:17,960 --> 00:23:19,840 Speaker 11: backyard and was quickly apprehended. 434 00:23:22,280 --> 00:23:24,439 Speaker 2: These are videos that they're showing us that are on 435 00:23:24,520 --> 00:23:28,760 Speaker 2: the sfpds official social media. They're doing drune cops and 436 00:23:28,800 --> 00:23:30,160 Speaker 2: it's great footage. 437 00:23:30,720 --> 00:23:33,560 Speaker 1: Well with the obesity rate in the state, how does 438 00:23:33,600 --> 00:23:34,480 Speaker 1: anyone get away? 439 00:23:36,680 --> 00:23:38,280 Speaker 6: Stop? Stop running? 440 00:23:38,880 --> 00:23:41,240 Speaker 9: It could be any police show on television. 441 00:23:42,560 --> 00:23:43,440 Speaker 4: Up on the board. 442 00:23:45,200 --> 00:23:47,520 Speaker 11: One of the suspects climbed over the center divide and 443 00:23:47,600 --> 00:23:49,840 Speaker 11: ran on the southbound lanes of traffic of one oh 444 00:23:49,880 --> 00:23:52,360 Speaker 11: one before officers tackled him to the ground and took 445 00:23:52,440 --> 00:23:53,240 Speaker 11: him into custody. 446 00:23:55,119 --> 00:23:57,560 Speaker 2: Do they also have AI narrating these things? 447 00:23:57,920 --> 00:24:01,800 Speaker 1: It sounds like it's it's either a robot or the 448 00:24:01,840 --> 00:24:04,600 Speaker 1: spawn of Barber Farrara, but it's. 449 00:24:04,440 --> 00:24:09,000 Speaker 9: Happening in San Francisco. This is the Real Time Investigation 450 00:24:09,240 --> 00:24:12,040 Speaker 9: Center operated by San Francisco Police now. 451 00:24:12,440 --> 00:24:14,560 Speaker 2: And by the way, if you're wondering what that looks like, 452 00:24:14,720 --> 00:24:16,639 Speaker 2: it looks exactly like the batcave. 453 00:24:20,680 --> 00:24:23,120 Speaker 9: All of the video that you saw there was put 454 00:24:23,160 --> 00:24:27,239 Speaker 9: together and eventually posted on social media. But before we 455 00:24:27,280 --> 00:24:31,520 Speaker 9: get into any more details, let's recap how we got here. 456 00:24:32,000 --> 00:24:35,439 Speaker 9: In twenty seventeen, San Francisco was at the height of 457 00:24:35,480 --> 00:24:37,040 Speaker 9: a car break in crisis. 458 00:24:37,520 --> 00:24:42,600 Speaker 2: I remember, Oh, yes, I think that ret's around then 459 00:24:42,680 --> 00:24:45,040 Speaker 2: when the term bipping was invented. 460 00:24:45,320 --> 00:24:47,080 Speaker 12: I've been bipped several times. 461 00:24:47,119 --> 00:24:47,840 Speaker 2: Oh, we heard. 462 00:24:47,680 --> 00:24:53,000 Speaker 9: About that, with twenty eight thousand reports. Retail theft was 463 00:24:53,080 --> 00:24:57,119 Speaker 9: also escalating between twenty twenty one and twenty twenty three. 464 00:24:57,560 --> 00:25:01,119 Speaker 9: Numerous surveys found that most San Francisco skins believed that 465 00:25:01,280 --> 00:25:05,399 Speaker 9: crime was among the top troubling issues making them feel 466 00:25:05,480 --> 00:25:08,959 Speaker 9: less safe. Police argued they didn't have all the tools 467 00:25:08,960 --> 00:25:12,359 Speaker 9: to help catch people committing retail thefts in the act. 468 00:25:13,080 --> 00:25:17,640 Speaker 9: For example, police are not allowed to monitor cameras perched 469 00:25:17,680 --> 00:25:21,840 Speaker 9: on a building in real time on a constant basis 470 00:25:22,080 --> 00:25:23,119 Speaker 9: twenty four to seven. 471 00:25:23,840 --> 00:25:26,480 Speaker 2: That seems like a stupid way to use technology. 472 00:25:27,440 --> 00:25:29,639 Speaker 1: You can only use it after the crime occurs. 473 00:25:30,160 --> 00:25:33,760 Speaker 2: This was what was law in San Francisco before that 474 00:25:33,840 --> 00:25:35,760 Speaker 2: city got its head put on straight. 475 00:25:37,160 --> 00:25:40,280 Speaker 9: Listen to this twenty twenty one interview with my colleague 476 00:25:40,560 --> 00:25:44,240 Speaker 9: Phil mattiras he interviews former police chief Bill Scott. 477 00:25:44,480 --> 00:25:47,280 Speaker 2: Bill Scott, who abandoned the SFPD to go run the 478 00:25:47,480 --> 00:25:51,480 Speaker 2: La Metro Police Department, how's that working out for him? Well, 479 00:25:51,480 --> 00:25:53,480 Speaker 2: it still doesn't exist, so I don't know what he 480 00:25:53,560 --> 00:25:54,240 Speaker 2: does all day. 481 00:25:54,960 --> 00:25:57,600 Speaker 13: So if there's a camera perched up on Union Square 482 00:25:57,680 --> 00:26:00,800 Speaker 13: that's showing live what's going on in apostible Swarm, you 483 00:26:00,840 --> 00:26:03,959 Speaker 13: can't watch it in real timel like on a weekend night, 484 00:26:04,119 --> 00:26:04,640 Speaker 13: that is great. 485 00:26:04,640 --> 00:26:07,320 Speaker 2: We cant that seems so stupid. Just do what they 486 00:26:07,359 --> 00:26:09,639 Speaker 2: do in Dublin with that camera that's always pointed at 487 00:26:09,640 --> 00:26:12,720 Speaker 2: the Temple Bar, live stream it all the time. You 488 00:26:12,800 --> 00:26:15,359 Speaker 2: might catch a crime, you might just catch a good time. 489 00:26:18,600 --> 00:26:20,800 Speaker 2: Everyone was posting that for Saint Patti's Day and I 490 00:26:20,880 --> 00:26:22,200 Speaker 2: got so much fomo. 491 00:26:23,200 --> 00:26:24,480 Speaker 1: Because of local laws. 492 00:26:24,600 --> 00:26:25,080 Speaker 6: That's great. 493 00:26:25,440 --> 00:26:29,280 Speaker 9: That is still true today. But then Mayor London Breed 494 00:26:29,400 --> 00:26:33,720 Speaker 9: believed a different kind of technology would assist officers. We 495 00:26:33,800 --> 00:26:36,119 Speaker 9: will give them the resources they need. 496 00:26:36,400 --> 00:26:38,840 Speaker 2: In March, she took a great heel turn, but it 497 00:26:38,920 --> 00:26:41,000 Speaker 2: was so too little, too late. There was no way 498 00:26:41,040 --> 00:26:44,560 Speaker 2: she was gonna win reelection. Oh no, no, she did 499 00:26:44,600 --> 00:26:46,680 Speaker 2: it at the eleventh hour. You have to do it 500 00:26:47,040 --> 00:26:49,840 Speaker 2: and give it enough time to sink in. But when 501 00:26:49,880 --> 00:26:51,960 Speaker 2: she did turn it was pretty glorious and. 502 00:26:51,960 --> 00:26:55,600 Speaker 11: Less tolerant of all the bulk that has destroyed our city. 503 00:26:58,040 --> 00:27:01,320 Speaker 9: We will give them the resources they need. In March 504 00:27:01,359 --> 00:27:04,800 Speaker 9: twenty twenty four, license plate readers went online with the 505 00:27:04,840 --> 00:27:09,639 Speaker 9: purpose of curbing carjackings and retail theft. A month later, 506 00:27:10,000 --> 00:27:14,359 Speaker 9: drones were also deployed. After San Francisco voters approved Mayor 507 00:27:14,400 --> 00:27:19,440 Speaker 9: Breed's measure E police wasted no time documenting the results 508 00:27:19,480 --> 00:27:20,719 Speaker 9: on social media. 509 00:27:20,760 --> 00:27:23,400 Speaker 2: It was an interesting campaign too. It was the let 510 00:27:23,440 --> 00:27:26,840 Speaker 2: Police do their Jobs Act and it was overwhelmingly passed. 511 00:27:27,520 --> 00:27:30,479 Speaker 1: And by the way, police departments are very active on 512 00:27:30,560 --> 00:27:34,640 Speaker 1: social media, So if you need any motivation at all 513 00:27:34,920 --> 00:27:37,960 Speaker 1: to mine your p's and q's, if you have a 514 00:27:38,000 --> 00:27:41,840 Speaker 1: mugshot taken, they will put it up on Facebook and 515 00:27:41,920 --> 00:27:44,719 Speaker 1: with facial recognition, you're gonna get pinged. 516 00:27:45,480 --> 00:27:49,040 Speaker 11: Several more uniformed officers ran towards the suspect, who then 517 00:27:49,119 --> 00:27:51,399 Speaker 11: ran over to the east ledge of the freeway and 518 00:27:51,440 --> 00:27:57,439 Speaker 11: tossed a firearm over onto the street below. The drone 519 00:27:57,440 --> 00:27:59,920 Speaker 11: captured this and quickly alerted officers on c. 520 00:28:00,880 --> 00:28:03,160 Speaker 2: I love that SFPD has their own YouTube show. 521 00:28:06,160 --> 00:28:09,760 Speaker 1: I think many of them do. When cops was around. 522 00:28:10,240 --> 00:28:12,119 Speaker 1: Where was it that they would film it? Because it 523 00:28:12,160 --> 00:28:15,000 Speaker 1: always seemed to be in Las Vegas, But there were 524 00:28:15,040 --> 00:28:16,760 Speaker 1: a couple of other cities that would let. 525 00:28:16,680 --> 00:28:20,280 Speaker 2: Them do it, a lot of Nevada. I also think 526 00:28:20,280 --> 00:28:22,320 Speaker 2: they did a lot of Texas. At one point. 527 00:28:23,200 --> 00:28:26,840 Speaker 9: The department says videos were made to show San Franciscans 528 00:28:27,200 --> 00:28:30,479 Speaker 9: that they're getting what they voted for. Let's take it 529 00:28:30,560 --> 00:28:31,399 Speaker 9: step by step. 530 00:28:31,880 --> 00:28:35,400 Speaker 12: Obviously, hear the need for a drone to go up. 531 00:28:35,320 --> 00:28:40,200 Speaker 9: There from this center, and operator contacts and controls the drone, 532 00:28:40,520 --> 00:28:43,520 Speaker 9: which takes off from the roof of one of many buildings. 533 00:28:43,880 --> 00:28:46,160 Speaker 9: In all, there are eighty police drones. 534 00:28:46,600 --> 00:28:48,600 Speaker 2: And then you watch it and they can take off 535 00:28:48,720 --> 00:28:50,520 Speaker 2: and get to where they need to be a hell 536 00:28:50,520 --> 00:28:53,560 Speaker 2: of a lot faster than a black and white. 537 00:28:53,800 --> 00:28:56,040 Speaker 1: Well just imagine if you had one of those babies 538 00:28:56,040 --> 00:28:58,600 Speaker 1: over the tenderloin twenty four to seven, what you'd find. 539 00:29:00,080 --> 00:29:03,800 Speaker 14: Munch a little some right off the pad. It does 540 00:29:03,800 --> 00:29:06,360 Speaker 14: a quick three sixty. You get itself oriented and then 541 00:29:06,400 --> 00:29:07,680 Speaker 14: it takes off where you want to go. 542 00:29:08,080 --> 00:29:09,480 Speaker 12: It's well put it out of Oakland. 543 00:29:09,920 --> 00:29:12,400 Speaker 9: And while we were there, a call came in about 544 00:29:12,440 --> 00:29:16,480 Speaker 9: a white mini van which was reported stolen from Oakland. 545 00:29:18,760 --> 00:29:20,960 Speaker 12: Of course, so far acnowancee a driver. 546 00:29:21,400 --> 00:29:24,480 Speaker 9: The drone followed the driver for several blocks until the 547 00:29:24,520 --> 00:29:29,480 Speaker 9: person parked the vehicle and undercover officers in an unmarked 548 00:29:29,520 --> 00:29:33,000 Speaker 9: car stepped in after a description from the center. 549 00:29:32,960 --> 00:29:39,280 Speaker 12: Driver doors open, drivers out BF black cootie and pants 550 00:29:39,680 --> 00:29:45,440 Speaker 12: like dark colored pants. Yeah, they're gonna rib right now. Perfect. 551 00:29:46,840 --> 00:29:49,239 Speaker 2: Look at all this coordination. I love to see this, 552 00:29:49,320 --> 00:29:52,480 Speaker 2: and this is great pr for the SFPD, Like, hey, 553 00:29:52,800 --> 00:29:55,760 Speaker 2: look they're letting us do our jobs. Come work for us. 554 00:29:56,000 --> 00:29:58,800 Speaker 1: But what you also need is you need a DA 555 00:29:58,920 --> 00:30:02,360 Speaker 1: that's willing to prosecute them, a judge that's willing to 556 00:30:02,360 --> 00:30:04,640 Speaker 1: do their job, and a jury that's willing to do 557 00:30:04,720 --> 00:30:05,240 Speaker 1: their job. 558 00:30:06,240 --> 00:30:08,560 Speaker 2: Well, San Francisco has two out of the four hus. 559 00:30:08,640 --> 00:30:13,440 Speaker 2: How's that because they have the police, they have the technology, 560 00:30:13,480 --> 00:30:17,600 Speaker 2: and they've got a great DA. But the judges, the 561 00:30:17,720 --> 00:30:20,960 Speaker 2: juries are starting to move. Apparently they're not buying the 562 00:30:21,120 --> 00:30:24,680 Speaker 2: Fentanel dealers or victims of human trafficking anymore. But they 563 00:30:24,720 --> 00:30:26,680 Speaker 2: were for a really long time. 564 00:30:27,320 --> 00:30:30,040 Speaker 1: It's about time we had. 565 00:30:30,280 --> 00:30:33,800 Speaker 14: A very hard working force. I was out there and 566 00:30:33,840 --> 00:30:35,960 Speaker 14: now all you've done is give them the best tools 567 00:30:35,960 --> 00:30:39,200 Speaker 14: that we have, and they're still they're hitting their stride. 568 00:30:39,320 --> 00:30:42,120 Speaker 9: They also make sure that the officers involved in a 569 00:30:42,160 --> 00:30:45,920 Speaker 9: police operation are now always mentioned by name. 570 00:30:46,520 --> 00:30:50,960 Speaker 2: Officers o'keef and Doodam then immediately arrived and placed the 571 00:30:51,040 --> 00:30:55,040 Speaker 2: suspect under arrest without incident. Okay, I don't know if 572 00:30:55,040 --> 00:30:57,400 Speaker 2: these are AI or if just the people that are 573 00:30:57,440 --> 00:31:00,480 Speaker 2: voicing them are not professionals. They're just in the apartment 574 00:31:00,560 --> 00:31:04,560 Speaker 2: and they do not have personalities for radio could go 575 00:31:04,680 --> 00:31:05,200 Speaker 2: either way. 576 00:31:05,760 --> 00:31:08,280 Speaker 9: The measure that allowed for the use of drones passed 577 00:31:08,400 --> 00:31:11,720 Speaker 9: with fifty four percent of the vote, meaning that nearly 578 00:31:11,800 --> 00:31:14,680 Speaker 9: half of voters were against them. Zach Dillon is with 579 00:31:14,760 --> 00:31:16,240 Speaker 9: a public defender's office. 580 00:31:16,360 --> 00:31:18,480 Speaker 2: Oh boy, here's where this story is about to take 581 00:31:18,480 --> 00:31:20,520 Speaker 2: a turn. By the way, this is the same public 582 00:31:20,560 --> 00:31:25,240 Speaker 2: defender's office that is saying they're so overwhelmed they're refusing 583 00:31:25,360 --> 00:31:29,000 Speaker 2: to take cases, which means that anyone who can't get 584 00:31:29,000 --> 00:31:32,560 Speaker 2: a public defender Apparently those charges just get dropped and 585 00:31:32,600 --> 00:31:33,880 Speaker 2: the case gets thrown out. 586 00:31:34,360 --> 00:31:37,080 Speaker 1: Well, that's a loophole that needs to be fixed, then. 587 00:31:37,200 --> 00:31:39,920 Speaker 2: Yes, And if the public defender's not doing their job, 588 00:31:40,240 --> 00:31:42,600 Speaker 2: we should stop paying them. You should see what these 589 00:31:42,640 --> 00:31:44,480 Speaker 2: public defenders offices are making. 590 00:31:45,280 --> 00:31:48,640 Speaker 9: Zach Dillon is with a public defender's office, the attorneys 591 00:31:48,680 --> 00:31:52,680 Speaker 9: who often represent those people nabbed by drones. He says, 592 00:31:52,800 --> 00:31:55,720 Speaker 9: they pose a threat to privacy. 593 00:31:55,560 --> 00:31:57,840 Speaker 15: The rights and not be filmed constantly, the rights not 594 00:31:57,880 --> 00:31:58,880 Speaker 15: be monitored constantly. 595 00:31:59,040 --> 00:32:01,360 Speaker 2: Yeah, most people don't care about that. If the criminals 596 00:32:01,400 --> 00:32:02,800 Speaker 2: care about that, that's something else. 597 00:32:03,800 --> 00:32:07,680 Speaker 1: I love the fact that this is in the context 598 00:32:07,880 --> 00:32:11,440 Speaker 1: of catching people breaking the law, and he goes, oh, no, 599 00:32:11,480 --> 00:32:14,120 Speaker 1: you're violating their privacy. They didn't know they were being 600 00:32:14,160 --> 00:32:15,520 Speaker 1: recorded when they stole that van. 601 00:32:17,600 --> 00:32:19,360 Speaker 2: And by the way, this is the movement that has 602 00:32:19,400 --> 00:32:22,560 Speaker 2: tried to get the flock cameras decommissioned all throughout the 603 00:32:22,560 --> 00:32:25,920 Speaker 2: Bay Area, and they did that in Richmond, and three 604 00:32:25,960 --> 00:32:29,400 Speaker 2: months later they just voted to reinstate it because in 605 00:32:29,440 --> 00:32:31,920 Speaker 2: those three months where they didn't have the flock cameras, 606 00:32:32,240 --> 00:32:33,720 Speaker 2: car thefts exploded. 607 00:32:34,640 --> 00:32:37,120 Speaker 1: And by the way, if these people can just run 608 00:32:37,160 --> 00:32:40,960 Speaker 1: around the town and steal any van with no windows 609 00:32:40,960 --> 00:32:43,560 Speaker 1: that they want. What do you expect, Jared from Subway 610 00:32:43,600 --> 00:32:45,920 Speaker 1: to write around in the right. 611 00:32:46,120 --> 00:32:49,520 Speaker 15: To be out in public in a park and not 612 00:32:49,800 --> 00:32:52,400 Speaker 15: think that you're being monitored or inspected. 613 00:32:52,640 --> 00:32:56,080 Speaker 9: And there has been some pushback towards the license plate readers. 614 00:32:56,320 --> 00:32:59,680 Speaker 9: There are now four hundred of them across the city. 615 00:33:00,080 --> 00:33:03,520 Speaker 9: We found one camera lens covered with two strips of 616 00:33:03,600 --> 00:33:05,600 Speaker 9: duct tape. 617 00:33:09,240 --> 00:33:12,520 Speaker 1: A privacy advocate, Sure, that's what that is. 618 00:33:13,120 --> 00:33:15,280 Speaker 2: Not somebody who's planning to commit a crime in that 619 00:33:15,640 --> 00:33:21,520 Speaker 2: area later on. No, that's just a protest. 620 00:33:21,760 --> 00:33:24,840 Speaker 9: Bill Buddington is with the Electronic Frontier Foundation. 621 00:33:25,240 --> 00:33:26,720 Speaker 2: I like that name, good alliteration. 622 00:33:28,560 --> 00:33:32,680 Speaker 14: People are fed up and annoyed, mostly with the fact 623 00:33:32,680 --> 00:33:34,959 Speaker 14: of ever present surveillance in their lives. 624 00:33:35,120 --> 00:33:37,080 Speaker 2: I don't know how many people even care. 625 00:33:38,080 --> 00:33:41,240 Speaker 1: You can't get around it anymore. Have you gone through 626 00:33:41,280 --> 00:33:42,600 Speaker 1: Customs recently? 627 00:33:44,000 --> 00:33:45,800 Speaker 2: Yes, but I have Global Entry and it was at 628 00:33:45,840 --> 00:33:47,960 Speaker 2: five am, so they just kind of waved me through. 629 00:33:48,600 --> 00:33:52,160 Speaker 1: Okay, the last couple of times I've gone through Customs, 630 00:33:52,280 --> 00:33:54,360 Speaker 1: it's all been through facial recognition. 631 00:33:55,120 --> 00:33:57,640 Speaker 2: Oh yeah, No, that was the wild thing. So we 632 00:33:57,840 --> 00:34:02,440 Speaker 2: landed at DFW coming back from Madrid and I didn't 633 00:34:02,440 --> 00:34:05,000 Speaker 2: even have to take out my Global entry card. The 634 00:34:05,040 --> 00:34:09,759 Speaker 2: guy working the customs counter looked at me, said my 635 00:34:09,920 --> 00:34:14,760 Speaker 2: name to me and said, you're good to go. It's wild. 636 00:34:15,080 --> 00:34:16,960 Speaker 2: And if you go to the Inuit Dome at in 637 00:34:17,040 --> 00:34:20,520 Speaker 2: Englewood where the Clippers play, they're using that technology everywhere. 638 00:34:20,520 --> 00:34:22,560 Speaker 2: You don't even show them a ticket, you don't even 639 00:34:22,560 --> 00:34:24,920 Speaker 2: show them your phone. It knows that you bought a 640 00:34:24,960 --> 00:34:26,440 Speaker 2: ticket because it knows your face. 641 00:34:27,520 --> 00:34:30,600 Speaker 12: Oh my, So you're seeing a little bit of a 642 00:34:30,600 --> 00:34:31,319 Speaker 12: pushback there. 643 00:34:31,560 --> 00:34:34,520 Speaker 9: The jury is out on whether any of this technology 644 00:34:34,600 --> 00:34:37,839 Speaker 9: is actually helping the small mom and pop shops which 645 00:34:37,880 --> 00:34:40,840 Speaker 9: find it challenging to deter shoplifters. 646 00:34:41,160 --> 00:34:44,759 Speaker 14: The drones and all these other things, For me, they're great, 647 00:34:44,800 --> 00:34:45,600 Speaker 14: but they're band aids. 648 00:34:45,640 --> 00:34:48,360 Speaker 5: I think the foundation is the Prop forty seven that 649 00:34:48,400 --> 00:34:48,800 Speaker 5: we passed. 650 00:34:49,080 --> 00:34:51,480 Speaker 10: We're still allowing people to steal from us if it's 651 00:34:51,480 --> 00:34:52,760 Speaker 10: below nine hundred and fifty bucks. 652 00:34:53,120 --> 00:34:56,239 Speaker 1: That is true, right, because if you catch them on 653 00:34:56,360 --> 00:34:59,520 Speaker 1: camera doing it and they go, well, it's still under 654 00:34:59,560 --> 00:35:01,720 Speaker 1: nine hundred in fifty bucks, so we can't do anything 655 00:35:01,760 --> 00:35:05,520 Speaker 1: about it, then you can't use that information to stop 656 00:35:05,560 --> 00:35:06,800 Speaker 1: the person from stealing. 657 00:35:07,440 --> 00:35:09,759 Speaker 2: Prop thirty six made some changes to it, but the 658 00:35:09,840 --> 00:35:12,440 Speaker 2: changes that it made was on the third time. It 659 00:35:12,440 --> 00:35:13,360 Speaker 2: can be a felony. 660 00:35:13,840 --> 00:35:14,960 Speaker 4: We got to fix that first. 661 00:35:15,160 --> 00:35:18,120 Speaker 9: One man who sees things differently is Chris Larsen, the 662 00:35:18,200 --> 00:35:22,799 Speaker 9: founder of Ripple, the cryptocurrency company. He donated most of 663 00:35:22,840 --> 00:35:25,640 Speaker 9: the money to fund the center. Chris, it's not every 664 00:35:25,680 --> 00:35:29,759 Speaker 9: day that you see somebody in tech very interested in 665 00:35:29,840 --> 00:35:32,399 Speaker 9: law enforcement. So what was the drive for you? 666 00:35:32,960 --> 00:35:36,200 Speaker 1: He didn't want to move to Austin. How many times 667 00:35:36,239 --> 00:35:37,360 Speaker 1: do you think he got bipped? 668 00:35:37,719 --> 00:35:39,479 Speaker 13: Well, I think it was just kind of getting back 669 00:35:39,480 --> 00:35:42,840 Speaker 13: to the basics, right, what makes a city successful or 670 00:35:42,840 --> 00:35:45,880 Speaker 13: not successful? And you know number one is public safety. 671 00:35:46,040 --> 00:35:48,800 Speaker 13: If you don't have that, then businesses don't come, curis 672 00:35:48,800 --> 00:35:52,759 Speaker 13: don't come, even locals I'll stay in you know where 673 00:35:52,800 --> 00:35:55,360 Speaker 13: they live. And that was really hurting San Francisco. So 674 00:35:55,360 --> 00:35:56,600 Speaker 13: we had to fix that first. 675 00:35:56,960 --> 00:36:00,319 Speaker 9: Police say the drones have assisted in over one and 676 00:36:00,400 --> 00:36:03,719 Speaker 9: arrests since they went online in April twenty twenty four. 677 00:36:04,080 --> 00:36:08,600 Speaker 1: Those are real numbers, and you know what, you can 678 00:36:08,680 --> 00:36:10,360 Speaker 1: see the difference when you're there. 679 00:36:10,920 --> 00:36:14,560 Speaker 9: With overall crime down in San Francisco, police say they 680 00:36:14,560 --> 00:36:18,400 Speaker 9: are more focused on the results, which they say speak 681 00:36:18,480 --> 00:36:19,279 Speaker 9: for themselves. 682 00:36:19,600 --> 00:36:21,920 Speaker 14: We're absolutely using that as some message to send out 683 00:36:21,960 --> 00:36:23,520 Speaker 14: that if you come here to San Francisco. 684 00:36:25,360 --> 00:36:27,480 Speaker 2: I haven't seen the picture because I was on my 685 00:36:27,560 --> 00:36:31,239 Speaker 2: walk when I listened to this. But the drone operator, 686 00:36:31,880 --> 00:36:33,960 Speaker 2: you know it, doesn't have to leave the office. You 687 00:36:34,000 --> 00:36:35,880 Speaker 2: can tell that he's not really in the kind of 688 00:36:35,920 --> 00:36:37,960 Speaker 2: shape you need to be to be a field officer. 689 00:36:40,960 --> 00:36:43,000 Speaker 1: Needs to spend some time on the treadmill. Huh. 690 00:36:43,120 --> 00:36:45,439 Speaker 14: We're absolutely using that as some message to send out 691 00:36:45,480 --> 00:36:48,399 Speaker 14: that if you come here to San Francisco, you're gonna 692 00:36:48,400 --> 00:36:51,799 Speaker 14: get hell responsible for what you're doing. That we're not 693 00:36:51,880 --> 00:36:53,120 Speaker 14: going to put up with it. 694 00:36:53,840 --> 00:36:56,799 Speaker 9: And police say they no longer chase any vehicle at 695 00:36:56,800 --> 00:37:00,400 Speaker 9: a high speed that could put lives in danger. Zones 696 00:37:00,719 --> 00:37:03,160 Speaker 9: can now follow a suspect from the air. 697 00:37:03,719 --> 00:37:06,120 Speaker 2: Isn't that fascinating. They don't even have to worry about 698 00:37:06,160 --> 00:37:09,560 Speaker 2: high speed chases because the drones are better at tracking 699 00:37:09,600 --> 00:37:10,800 Speaker 2: them than I'm black and white. 700 00:37:11,520 --> 00:37:15,239 Speaker 1: Well, and the drones can also go more places than 701 00:37:15,239 --> 00:37:19,720 Speaker 1: a helicopter because helicopters have to fly at a certain 702 00:37:19,800 --> 00:37:21,000 Speaker 1: ultitude to be safe. 703 00:37:21,760 --> 00:37:26,120 Speaker 2: Now, drones, we're we're at a point now where the 704 00:37:26,160 --> 00:37:30,680 Speaker 2: police helicopter and the news helicopter. Those things are gone 705 00:37:30,680 --> 00:37:32,600 Speaker 2: on the way to the Dodo. The drones are a 706 00:37:32,719 --> 00:37:35,040 Speaker 2: much more efficient way to do the same job. 707 00:37:35,600 --> 00:37:39,040 Speaker 1: Well, and those helicopters caused a fortune to operate, don't they. 708 00:37:39,440 --> 00:37:41,160 Speaker 2: The only thing you're gonna need a police or a 709 00:37:41,160 --> 00:37:44,480 Speaker 2: fire helicopter for is swift water rescue. Everything else could 710 00:37:44,480 --> 00:37:45,840 Speaker 2: be done by a drone. 711 00:37:46,760 --> 00:37:49,960 Speaker 1: Eight hundred two two two five two two two is 712 00:37:50,000 --> 00:37:52,879 Speaker 1: a telephone number one eight hundred two to two two 713 00:37:53,000 --> 00:37:55,640 Speaker 1: five to two two two. Let's go to James and 714 00:37:55,680 --> 00:37:56,400 Speaker 1: El Segundo. 715 00:37:56,640 --> 00:38:02,920 Speaker 16: James, Hello, Hey John, I'm longtime listeners, second time calor. 716 00:38:02,960 --> 00:38:07,080 Speaker 1: How you do today? I'm good, good, Okay. 717 00:38:07,520 --> 00:38:13,600 Speaker 16: Here's my point. Everybody out there listening, as much as 718 00:38:13,640 --> 00:38:15,719 Speaker 16: we love Steve Hilton, which I hope he is going 719 00:38:15,760 --> 00:38:18,320 Speaker 16: to be the next governor, needs to vote for Chad 720 00:38:18,360 --> 00:38:23,799 Speaker 16: Bionco to keep the Democrats off the ballot period. It's 721 00:38:23,840 --> 00:38:28,880 Speaker 16: that simple. If Swallwell or one of some other idiot 722 00:38:28,960 --> 00:38:35,240 Speaker 16: gets on there, then the teachers' union, the nurses' union, 723 00:38:35,360 --> 00:38:38,520 Speaker 16: and the SEIU Purple people are going to get involved, 724 00:38:38,560 --> 00:38:42,240 Speaker 16: and we don't have those numbers to curtail that threat. 725 00:38:42,960 --> 00:38:47,240 Speaker 1: What do you say, tell you well, my preference is Hilton. 726 00:38:48,160 --> 00:38:50,920 Speaker 1: To my eye, he's done a much better job campaigning 727 00:38:50,960 --> 00:38:54,840 Speaker 1: for governor. That being said, we need Republican or Republican 728 00:38:54,920 --> 00:38:58,080 Speaker 1: leaning voters to split their vote fifty to fifty as 729 00:38:58,200 --> 00:39:02,080 Speaker 1: closely as possible. And because Hilton is doing better than Bianco, 730 00:39:02,200 --> 00:39:04,920 Speaker 1: if the election were today, I would vote for Bianco too,