1 00:00:02,520 --> 00:00:06,840 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,880 --> 00:00:10,960 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Ketty. 3 00:00:10,800 --> 00:00:18,119 Speaker 2: I'm Strong, and Jattie I Know he Armstrong and Eddy. 4 00:00:24,200 --> 00:00:27,880 Speaker 3: Pratt released a final plea to voters on Monday, a 5 00:00:27,960 --> 00:00:32,520 Speaker 3: seven minute video blasting Basses policies on everything from homelessness 6 00:00:32,800 --> 00:00:36,480 Speaker 3: to the response to the Palisades fire, and he specifically 7 00:00:36,560 --> 00:00:40,680 Speaker 3: addressed people considering voting for Nythia Rahman, essentially saying that 8 00:00:40,760 --> 00:00:42,040 Speaker 3: she has no chance. 9 00:00:42,440 --> 00:00:45,560 Speaker 4: Voting for Nythia is a wasted vote. It's me versus Karen. 10 00:00:45,680 --> 00:00:48,280 Speaker 4: It's changed versus more of the same. It's no longer 11 00:00:48,400 --> 00:00:51,159 Speaker 4: questioned about me or Nythia or Karen. Nythia has no 12 00:00:51,240 --> 00:00:53,600 Speaker 4: path of victory. Now it's me versus Karen. 13 00:00:53,600 --> 00:00:56,200 Speaker 1: It's interesting how this mayoral race has caught in so 14 00:00:56,240 --> 00:00:59,440 Speaker 1: many people's attention, clear across the country, not just in 15 00:00:59,560 --> 00:01:04,480 Speaker 1: Los angele Jelis and what that might mean. We got 16 00:01:04,520 --> 00:01:06,440 Speaker 1: the perfect guy to talk to. We just got this text. 17 00:01:06,480 --> 00:01:08,480 Speaker 1: Good morning, guys. Thank you so much for having a 18 00:01:08,520 --> 00:01:10,480 Speaker 1: lot of heat Chen on your show. They are my 19 00:01:10,840 --> 00:01:13,560 Speaker 1: favorite interviews. You guys do I learned something new every 20 00:01:13,560 --> 00:01:14,200 Speaker 1: single time. 21 00:01:14,240 --> 00:01:14,560 Speaker 2: Thank you. 22 00:01:14,760 --> 00:01:18,280 Speaker 5: Eric in Texas Oh wow, Lon, he under a little 23 00:01:18,360 --> 00:01:21,440 Speaker 5: pressure to deliver Lanie Jens David and Diane Steffie, fellow 24 00:01:21,440 --> 00:01:24,000 Speaker 5: in American Public Policy Studies at the Hoover Institution and 25 00:01:24,000 --> 00:01:27,399 Speaker 5: the Director of Domestic Policy Studies at Stanford University. 26 00:01:27,480 --> 00:01:29,280 Speaker 2: Loni, how are you well? 27 00:01:29,280 --> 00:01:30,720 Speaker 6: I think we was just end the interview here. 28 00:01:31,760 --> 00:01:33,000 Speaker 2: The wow. 29 00:01:33,040 --> 00:01:35,120 Speaker 6: That's very kind, Thank you. It was always great to 30 00:01:35,160 --> 00:01:37,240 Speaker 6: do with you guys. Happy election day here in California. 31 00:01:37,280 --> 00:01:37,520 Speaker 2: Yeah. 32 00:01:37,520 --> 00:01:42,640 Speaker 1: So, if Pratt and Hilton both make the final two, 33 00:01:43,160 --> 00:01:47,600 Speaker 1: does that say anything about the progressive movement in the country. 34 00:01:47,760 --> 00:01:51,040 Speaker 1: Is that like a real blow I'm hoping to the 35 00:01:51,120 --> 00:01:53,520 Speaker 1: wackad fringe of the Democratic Party. 36 00:01:56,040 --> 00:01:57,760 Speaker 6: I think it's a message. I mean, I think we 37 00:01:57,800 --> 00:01:59,960 Speaker 6: have to be careful not to not to draw conclusion 38 00:02:00,080 --> 00:02:01,640 Speaker 6: that are too broad. I mean, one of the things, 39 00:02:01,640 --> 00:02:05,280 Speaker 6: certainly in the city of La there is I think 40 00:02:05,360 --> 00:02:09,600 Speaker 6: a backlash to what the progressive politics have done to 41 00:02:10,760 --> 00:02:12,959 Speaker 6: our major cities. And I think we saw it in 42 00:02:13,000 --> 00:02:14,919 Speaker 6: San Francisco. By the way, a couple of years ago, guys, 43 00:02:14,960 --> 00:02:19,919 Speaker 6: when San Francisco elected a relatively more moderate mayor going 44 00:02:19,960 --> 00:02:24,760 Speaker 6: against several very progressive candidates, and that more moderate mayor 45 00:02:24,880 --> 00:02:27,760 Speaker 6: by a lot of account has produced positive change in 46 00:02:27,760 --> 00:02:31,280 Speaker 6: San Francisco. I think in La it's a similar dynamic. 47 00:02:31,320 --> 00:02:35,280 Speaker 6: Karen Bass has been a complete failure. She started as 48 00:02:35,320 --> 00:02:38,359 Speaker 6: a far left progressive candidate. She's tried to move more 49 00:02:38,400 --> 00:02:41,919 Speaker 6: towards the middle as her electoral fortunes have declined. And 50 00:02:42,120 --> 00:02:47,280 Speaker 6: there is this far left candidate, Nythia Rahman, who really 51 00:02:47,360 --> 00:02:50,280 Speaker 6: just has not, I think, picked up and captivated the 52 00:02:50,400 --> 00:02:52,880 Speaker 6: kind of interest that you would expect in a city 53 00:02:52,960 --> 00:02:55,600 Speaker 6: like LA. So I do think it'll be interesting to 54 00:02:55,639 --> 00:02:57,639 Speaker 6: see what happens. I mean, obviously, if she makes the 55 00:02:57,720 --> 00:02:59,880 Speaker 6: run off. If Bass makes the run off against the 56 00:03:00,000 --> 00:03:03,120 Speaker 6: aggressive candidate, that's one thing, but that doesn't look to 57 00:03:03,200 --> 00:03:05,360 Speaker 6: be the outcome we're going to see. It looks like 58 00:03:05,400 --> 00:03:08,280 Speaker 6: it's going to be Karen Bass's Spencer Pratt, and I 59 00:03:08,360 --> 00:03:10,520 Speaker 6: think it's going to be a fascinating general election. At 60 00:03:10,560 --> 00:03:12,880 Speaker 6: that end of the pas Pratt has been really good. 61 00:03:12,919 --> 00:03:16,400 Speaker 6: Prad has been really good at engaging in what I 62 00:03:16,400 --> 00:03:19,760 Speaker 6: would call kind of asymmetric campaign tactics. Right, He's not 63 00:03:19,800 --> 00:03:22,639 Speaker 6: like he's better funded, it's not like he's got more 64 00:03:22,720 --> 00:03:25,040 Speaker 6: name recognition, but he's managed to really make this a 65 00:03:25,080 --> 00:03:26,080 Speaker 6: super interesting race. 66 00:03:26,440 --> 00:03:27,280 Speaker 2: Well Jack me the point. 67 00:03:27,280 --> 00:03:28,840 Speaker 5: I don't want to steal your thunder because it was 68 00:03:28,880 --> 00:03:31,519 Speaker 5: excellent what you said, but it's with all due respect 69 00:03:31,560 --> 00:03:34,440 Speaker 5: to the brilliance of some of that AI generated stuff 70 00:03:34,440 --> 00:03:37,080 Speaker 5: that Pratt and his fans have come up with. His 71 00:03:37,240 --> 00:03:40,760 Speaker 5: message is just on there is decay in the cities. 72 00:03:40,880 --> 00:03:44,360 Speaker 5: It's become miserable for the tax paying, law abiding people. 73 00:03:44,880 --> 00:03:47,720 Speaker 5: The excuses that are being given are illegitimate, and we 74 00:03:47,920 --> 00:03:48,880 Speaker 5: want change. 75 00:03:50,280 --> 00:03:50,800 Speaker 2: Yeah. 76 00:03:50,840 --> 00:03:53,400 Speaker 6: And what really animated that, of course, where the fires 77 00:03:53,520 --> 00:03:56,640 Speaker 6: back in Palisades and in other parts of La the 78 00:03:56,680 --> 00:04:00,520 Speaker 6: devastating fires in early twenty twenty five, and that was 79 00:04:00,560 --> 00:04:03,560 Speaker 6: what started this groundswell of you know, things are not right. 80 00:04:03,600 --> 00:04:06,280 Speaker 6: You had Karen bass Off on an international trip being 81 00:04:06,320 --> 00:04:09,200 Speaker 6: wined and dying while our city was burning, and it 82 00:04:09,360 --> 00:04:13,600 Speaker 6: created a level of anger at the status quo that 83 00:04:13,720 --> 00:04:16,920 Speaker 6: I think has continued to this day. And you add 84 00:04:16,960 --> 00:04:18,920 Speaker 6: to that, you know, not just the failed response of 85 00:04:19,000 --> 00:04:22,920 Speaker 6: the fires, but the ongoing homeless problem, the continuing issues 86 00:04:23,000 --> 00:04:27,320 Speaker 6: around crime and public safety being a problem in the 87 00:04:27,360 --> 00:04:29,520 Speaker 6: city of Los Angeles. All of those things combined have 88 00:04:29,680 --> 00:04:32,160 Speaker 6: created an energy for change. And I think that's absolutely 89 00:04:32,160 --> 00:04:34,880 Speaker 6: what we're seeing, and that's spot on the reason why 90 00:04:34,920 --> 00:04:38,560 Speaker 6: Spencer prad is gaining momentum and is part of a 91 00:04:38,600 --> 00:04:41,880 Speaker 6: discussion is because people want change. It's a very simple message. 92 00:04:41,880 --> 00:04:43,320 Speaker 6: Do you want more of the same or do you 93 00:04:43,360 --> 00:04:46,320 Speaker 6: want something fundamentally different? And that's what practic stands for. 94 00:04:47,120 --> 00:04:50,160 Speaker 1: It is interesting though, those ads, how much attention they 95 00:04:50,200 --> 00:04:52,840 Speaker 1: get and they're whatever you guys in the political run 96 00:04:52,839 --> 00:04:56,039 Speaker 1: and for office world call earned media or none earned 97 00:04:56,040 --> 00:04:57,720 Speaker 1: media and all that sort of stuff. But if you 98 00:04:57,760 --> 00:05:00,520 Speaker 1: can come up, get somebody, because there's nothing stopping me 99 00:05:00,640 --> 00:05:04,440 Speaker 1: from making a creative ad in the next half hour 100 00:05:04,680 --> 00:05:07,119 Speaker 1: that looks like you know, Hollywood, spend a million dollars 101 00:05:07,160 --> 00:05:09,160 Speaker 1: on it. Now in the modern world with AI, how 102 00:05:09,240 --> 00:05:11,720 Speaker 1: much has that changed the landscape or running for office? 103 00:05:12,480 --> 00:05:14,560 Speaker 6: Oh, it's it's such a great question. I mean, it 104 00:05:14,640 --> 00:05:18,640 Speaker 6: has fundamentally altered the landscape we have. We have seen 105 00:05:18,880 --> 00:05:23,320 Speaker 6: so many changes in how campaigns are waged over the 106 00:05:23,400 --> 00:05:26,280 Speaker 6: last fifteen years. I mean, I remember guys when Twitter 107 00:05:26,400 --> 00:05:29,800 Speaker 6: was new, right and this that sort of totally changed 108 00:05:29,839 --> 00:05:32,560 Speaker 6: the way that campaigns had to respond to things because 109 00:05:32,600 --> 00:05:36,360 Speaker 6: the news cycle went from you know, twenty four hours 110 00:05:36,400 --> 00:05:39,719 Speaker 6: to eight hours to eight minutes and now you layer 111 00:05:39,800 --> 00:05:43,680 Speaker 6: on top of that, the additional social platforms, whether it's Instagram, 112 00:05:43,760 --> 00:05:47,560 Speaker 6: TikTok et, cetera, and then now Ai and the ability 113 00:05:47,600 --> 00:05:51,800 Speaker 6: to generate videos and content, pictures, you know, everything, and 114 00:05:52,080 --> 00:05:55,600 Speaker 6: the visual medium being able to do these videos. I mean, 115 00:05:55,600 --> 00:05:59,400 Speaker 6: that is really the next step forward. So campaigns have 116 00:05:59,520 --> 00:06:02,000 Speaker 6: changed a lot, and those of us who you know, 117 00:06:02,040 --> 00:06:04,680 Speaker 6: sort of learned how to wage campaigns and be in 118 00:06:04,720 --> 00:06:09,080 Speaker 6: that venue in the two thousands and twenty ten. It's 119 00:06:09,080 --> 00:06:11,400 Speaker 6: a totally different ballgame now. I mean, I feel like, 120 00:06:12,000 --> 00:06:15,240 Speaker 6: as the kids would say, an unk, because I'm totally 121 00:06:15,400 --> 00:06:17,159 Speaker 6: you know, out of it in a lot of ways 122 00:06:17,200 --> 00:06:20,359 Speaker 6: because there's so much technology and it's moving so bad. 123 00:06:20,200 --> 00:06:23,599 Speaker 2: And unk hunk. Yeah, don't want to be an aunt. 124 00:06:23,600 --> 00:06:25,240 Speaker 6: That's what they call me. 125 00:06:25,000 --> 00:06:27,760 Speaker 2: I like to know what I'm being insulted, So I'm 126 00:06:27,760 --> 00:06:28,920 Speaker 2: going to file that one away. 127 00:06:29,120 --> 00:06:33,200 Speaker 5: We're talking to lanhe Chen of the Huber Institution, Stanford University. Lani, 128 00:06:33,320 --> 00:06:35,680 Speaker 5: next to your towering intellect, I Joe Getti him like 129 00:06:35,680 --> 00:06:39,400 Speaker 5: a golden retriever. But I would like nonetheless, partly because 130 00:06:39,400 --> 00:06:40,719 Speaker 5: we're going to go big on this at the bottom 131 00:06:40,720 --> 00:06:44,160 Speaker 5: of the hour to attempt to recruit you to not 132 00:06:44,600 --> 00:06:49,280 Speaker 5: using the term homeless or homelessness because they are these 133 00:06:49,320 --> 00:06:53,000 Speaker 5: people are drug addicts. They are not homeless because they're 134 00:06:53,080 --> 00:06:55,400 Speaker 5: drug addicts, or I'm sorry, they're not drug addicts because 135 00:06:55,400 --> 00:06:55,880 Speaker 5: they're homeless. 136 00:06:55,880 --> 00:06:57,400 Speaker 2: They're homeless because they're drug addicts. 137 00:06:57,440 --> 00:07:01,120 Speaker 5: The animating detail of their lives is their drug addiction, 138 00:07:01,360 --> 00:07:04,560 Speaker 5: not their lack of a fixed address. And again we're 139 00:07:04,560 --> 00:07:06,120 Speaker 5: going to go big at the bottom of the hour. 140 00:07:06,240 --> 00:07:08,839 Speaker 5: I just I think we need to call problems what 141 00:07:08,880 --> 00:07:11,840 Speaker 5: they are, and I think the homeless is the very 142 00:07:11,920 --> 00:07:13,440 Speaker 5: term is a tool of the left and that's one 143 00:07:13,480 --> 00:07:17,320 Speaker 5: of spenserting messages. Yeah, yeah, and we'll be hammering that. 144 00:07:19,000 --> 00:07:20,880 Speaker 5: Go ahead and comment if you like her, or we 145 00:07:20,920 --> 00:07:22,960 Speaker 5: can move on to other fair well. 146 00:07:23,120 --> 00:07:25,200 Speaker 6: I you know, I think it's a it's a really 147 00:07:25,200 --> 00:07:28,280 Speaker 6: good point, which is that we have to understand what's 148 00:07:28,400 --> 00:07:32,160 Speaker 6: causing the problems we're seeing on streets right and I 149 00:07:32,200 --> 00:07:35,080 Speaker 6: do think that there has been a failure to address 150 00:07:35,160 --> 00:07:38,800 Speaker 6: head on some of the challenges, whether it's drug addiction, 151 00:07:38,920 --> 00:07:42,560 Speaker 6: whether it's the need for mental health access, whether it's 152 00:07:42,640 --> 00:07:44,920 Speaker 6: you know, I mean, there's all sorts of different reasons, 153 00:07:45,080 --> 00:07:47,680 Speaker 6: but I think that we do we have I think 154 00:07:48,040 --> 00:07:50,240 Speaker 6: this is not just the case with the homeless issue. 155 00:07:50,600 --> 00:07:53,080 Speaker 6: I think with a lot of issues, what we're failing 156 00:07:53,120 --> 00:07:56,000 Speaker 6: to do as a society is to deal with the 157 00:07:56,120 --> 00:07:59,080 Speaker 6: with the root causes of some of the challenges, and uh, 158 00:08:00,000 --> 00:08:02,520 Speaker 6: people like to paper it over. That's definitely definitely the case, 159 00:08:02,560 --> 00:08:04,320 Speaker 6: and I think this is one of those issues where 160 00:08:04,320 --> 00:08:06,120 Speaker 6: we're seeing a lot of papering over. I think you 161 00:08:06,160 --> 00:08:07,480 Speaker 6: guys are making a really well. 162 00:08:07,360 --> 00:08:09,440 Speaker 1: It's because if you can make it somebody else's fault 163 00:08:09,480 --> 00:08:12,360 Speaker 1: and not their own personal fault, then you can raise 164 00:08:12,400 --> 00:08:13,760 Speaker 1: money for it and say we need to have a 165 00:08:13,760 --> 00:08:16,080 Speaker 1: program in gazillions of dollars and hand it out to people, 166 00:08:16,120 --> 00:08:17,880 Speaker 1: and it only makes the problem worse to. 167 00:08:17,880 --> 00:08:21,760 Speaker 6: Your troat or my favorite, my favorite is the nonprofit. 168 00:08:22,760 --> 00:08:24,440 Speaker 6: Something that drives me nuts. I mean, how many of 169 00:08:24,480 --> 00:08:26,560 Speaker 6: these nonprofits. I was speaking to somebody the other day 170 00:08:26,920 --> 00:08:30,640 Speaker 6: who's doing a lot of research and work on different nonprofits. 171 00:08:30,720 --> 00:08:34,920 Speaker 6: Quote nonprofits in California that have really become nothing more 172 00:08:35,000 --> 00:08:40,680 Speaker 6: than shell organizations for activating left and Look, I have 173 00:08:40,760 --> 00:08:43,400 Speaker 6: no problem that people should vote, that's a great thing. 174 00:08:43,800 --> 00:08:47,679 Speaker 6: But when you get into political activism and actively lobbying 175 00:08:47,760 --> 00:08:50,040 Speaker 6: for some of these causes, that's when it becomes a problem. 176 00:08:50,120 --> 00:08:52,800 Speaker 6: And I think, by the way, the US Department of 177 00:08:52,920 --> 00:08:56,400 Speaker 6: Justice should look into these nonprofit groups that are abusing 178 00:08:56,440 --> 00:08:59,720 Speaker 6: their nonprofit tax status because that creates a big, big, 179 00:08:59,760 --> 00:09:01,840 Speaker 6: prim problem in so many parts of our state, in 180 00:09:01,880 --> 00:09:05,360 Speaker 6: our country. Is you have these groups masquerading as you know, 181 00:09:05,400 --> 00:09:07,280 Speaker 6: we're just here to try to help society, but really 182 00:09:07,320 --> 00:09:09,199 Speaker 6: what they're there to do is to advocate for far 183 00:09:09,280 --> 00:09:09,960 Speaker 6: left causes. 184 00:09:10,480 --> 00:09:11,880 Speaker 2: Jack, you have more on California. 185 00:09:11,960 --> 00:09:14,240 Speaker 5: I was going to go to National soln he any 186 00:09:14,320 --> 00:09:18,400 Speaker 5: thoughts on the Republican brand at this point and to 187 00:09:18,440 --> 00:09:21,760 Speaker 5: the extent, to what extent is it still you know, 188 00:09:23,120 --> 00:09:25,160 Speaker 5: synonymous with the Trump brand. 189 00:09:25,280 --> 00:09:27,040 Speaker 2: What's happening with the Republican. 190 00:09:26,600 --> 00:09:30,400 Speaker 6: Party, Well, it is, I think synonymous for a lot 191 00:09:30,440 --> 00:09:33,640 Speaker 6: of people. And one of the things that's really struck 192 00:09:33,679 --> 00:09:38,040 Speaker 6: me is the continuing strength of the President's brand in 193 00:09:39,040 --> 00:09:41,040 Speaker 6: Republican circles. I mean, I just want to talk about, 194 00:09:41,040 --> 00:09:46,719 Speaker 6: specifically within the Republican Party, how powerful his brand remains. 195 00:09:46,840 --> 00:09:49,520 Speaker 6: Because if you look at what happened with Tom Massey 196 00:09:49,559 --> 00:09:52,040 Speaker 6: in Kentucky, you look at what happened in the Indiana 197 00:09:52,320 --> 00:09:56,920 Speaker 6: with the Indiana legislators who voted to not redistrict to 198 00:09:56,960 --> 00:10:00,000 Speaker 6: go against the president. Now, many of them have been 199 00:10:00,120 --> 00:10:02,920 Speaker 6: ask if you look at Bill Cassidy in Louisiana, the 200 00:10:02,960 --> 00:10:06,439 Speaker 6: Senator down there, and there's there's there's other examples as well. 201 00:10:06,520 --> 00:10:09,439 Speaker 6: But what struck me is the enduring presence of the 202 00:10:09,480 --> 00:10:13,719 Speaker 6: president in how Republicans think about their politics. And then 203 00:10:13,880 --> 00:10:17,000 Speaker 6: by translation that also means yes, I think because he's 204 00:10:17,000 --> 00:10:20,559 Speaker 6: got such a big influences in the Republican Party. More broadly, 205 00:10:20,880 --> 00:10:24,719 Speaker 6: the President's brand and the Trump brand is still very 206 00:10:24,760 --> 00:10:28,360 Speaker 6: much seen as synonymous with the Republican Party. How long 207 00:10:28,440 --> 00:10:32,520 Speaker 6: that goes, what that looks like, I can't predict that. Right, 208 00:10:32,920 --> 00:10:35,120 Speaker 6: might say that it's been enduring for sure. 209 00:10:35,679 --> 00:10:39,320 Speaker 5: My only quibble is that I think you're saying the 210 00:10:39,320 --> 00:10:42,959 Speaker 5: Republican Party, it's the primary voter, the core of the core, 211 00:10:43,360 --> 00:10:45,080 Speaker 5: and I just wonder to what extent. 212 00:10:45,080 --> 00:10:47,680 Speaker 2: They actually reflect. 213 00:10:48,840 --> 00:10:54,400 Speaker 5: Republicans en mass and perhaps wabbly independents who might lean Republican. 214 00:10:54,840 --> 00:10:57,520 Speaker 6: You know, it's a good it's a good question because 215 00:10:57,520 --> 00:11:00,520 Speaker 6: the makeup of the of the Republican voter bass changed 216 00:11:00,559 --> 00:11:02,760 Speaker 6: a lot over the last couple of years, right, I mean, 217 00:11:02,800 --> 00:11:06,480 Speaker 6: it is predominantly a more working class party, now, and 218 00:11:06,520 --> 00:11:08,920 Speaker 6: that wasn't the case, you know, four or five years ago. 219 00:11:09,000 --> 00:11:12,000 Speaker 6: So people that vote Republican now they probably wouldn't have 220 00:11:12,040 --> 00:11:14,160 Speaker 6: voted Republicans five or ten years ago. And then you've 221 00:11:14,200 --> 00:11:16,080 Speaker 6: got a lot of people who would have voted Republican 222 00:11:16,200 --> 00:11:18,760 Speaker 6: ten years ago who now you know, can't do it anymore. 223 00:11:18,880 --> 00:11:22,200 Speaker 6: So it is interesting the party's undergone transition and as 224 00:11:22,200 --> 00:11:23,800 Speaker 6: a result, we have to we have to look at 225 00:11:23,840 --> 00:11:26,320 Speaker 6: that voter basis being really different today than it was 226 00:11:26,440 --> 00:11:27,200 Speaker 6: a decade ago. 227 00:11:28,800 --> 00:11:31,040 Speaker 1: I don't remember if we've ever done predictions with you before. 228 00:11:31,040 --> 00:11:32,800 Speaker 1: You the kind of guy that doesn't make predictions. 229 00:11:34,040 --> 00:11:37,120 Speaker 6: I mean, I make predictions of the caveat that I'm 230 00:11:37,120 --> 00:11:37,560 Speaker 6: wrong along. 231 00:11:37,640 --> 00:11:40,000 Speaker 1: Do you think the two Republicans make the final two 232 00:11:40,200 --> 00:11:42,520 Speaker 1: in the California. 233 00:11:43,800 --> 00:11:45,800 Speaker 6: Yeah, I think that. I think the numbers are still 234 00:11:45,800 --> 00:11:48,240 Speaker 6: there for Steve Hilton to make it through in the 235 00:11:48,280 --> 00:11:50,000 Speaker 6: governor's race. To the top two, it's going to be 236 00:11:50,040 --> 00:11:55,080 Speaker 6: really close because you know, the Republican split between Sheriff 237 00:11:55,120 --> 00:11:57,520 Speaker 6: Chad Bianco and Steve Hilton. I think yeah, I think 238 00:11:57,559 --> 00:12:01,000 Speaker 6: will ultimately hurt hurt Steve Hilton. So hopefully there's some 239 00:12:01,000 --> 00:12:03,600 Speaker 6: consolidation there and he's able to get through to the 240 00:12:03,640 --> 00:12:06,000 Speaker 6: top two. I do think Spencer Pratt makes it through it. 241 00:12:06,080 --> 00:12:07,440 Speaker 2: Yeah, yeah, yeah, I think. 242 00:12:07,559 --> 00:12:09,960 Speaker 6: I think there's just so much energy there. So I'm 243 00:12:09,960 --> 00:12:10,720 Speaker 6: hopeful with both. 244 00:12:10,800 --> 00:12:12,480 Speaker 2: But that'll be a fun race to watch if he 245 00:12:12,520 --> 00:12:13,400 Speaker 2: makes the top two too. 246 00:12:13,920 --> 00:12:16,800 Speaker 5: Vote early, vote off and folks, you tooln he you're 247 00:12:16,840 --> 00:12:19,400 Speaker 5: good for three or four votes, I'm sure ln Hee 248 00:12:19,480 --> 00:12:22,520 Speaker 5: Chen David Diane Steffi, Fellow American Public Policy Studies at 249 00:12:22,520 --> 00:12:26,160 Speaker 5: the Hoover Institution, Director Domestic Policy Studies at Stanford University. 250 00:12:26,440 --> 00:12:28,040 Speaker 2: Always enlightening, Thanks Loni. 251 00:12:28,840 --> 00:12:30,839 Speaker 6: Hey, guys, have a good time. Thank you, have a 252 00:12:30,840 --> 00:12:31,240 Speaker 6: good day. 253 00:12:31,440 --> 00:12:34,280 Speaker 1: Yeah, I agree. I think Platner definitely makes a top two. 254 00:12:34,360 --> 00:12:36,720 Speaker 1: I hope Hilton does, but it's gonna be tough. Uh yeah, 255 00:12:36,760 --> 00:12:37,480 Speaker 1: fingers crossed. 256 00:12:37,480 --> 00:12:39,280 Speaker 5: So a quick word from our friends that in Cognate, 257 00:12:39,480 --> 00:12:42,720 Speaker 5: every scam, text, sketchy email, spam call you get starts 258 00:12:42,760 --> 00:12:46,000 Speaker 5: the same way. Somebody found you on a data broker 259 00:12:46,120 --> 00:12:50,600 Speaker 5: site and now they're using AI to mimic your kids' 260 00:12:50,720 --> 00:12:54,760 Speaker 5: voices and call you and say, hey, I'm getting arrested, 261 00:12:54,840 --> 00:12:59,520 Speaker 5: I'm in trouble. Help dad. It's so insidious, but Incognate can. 262 00:12:59,440 --> 00:13:02,640 Speaker 1: Help so you got the spam filters that call blockers, 263 00:13:02,679 --> 00:13:05,559 Speaker 1: they don't do the trick. The real fix is to disappear, 264 00:13:05,600 --> 00:13:08,520 Speaker 1: and that's when Incognate does. They contact hundreds of data 265 00:13:08,559 --> 00:13:12,640 Speaker 1: brokers legally force them to remove your information. That's why 266 00:13:12,640 --> 00:13:15,360 Speaker 1: we're using incognate. Get our names in info away from 267 00:13:15,360 --> 00:13:17,800 Speaker 1: these data brokers, and you'll notice that drop really fast 268 00:13:18,200 --> 00:13:20,200 Speaker 1: in your spam calls, emails, and texts. 269 00:13:20,480 --> 00:13:23,040 Speaker 5: Yeah, in Cogni is a trusted website you can use 270 00:13:23,040 --> 00:13:25,760 Speaker 5: to put data brokers on notice they cannot sell your data. 271 00:13:26,040 --> 00:13:26,600 Speaker 2: Rely on it. 272 00:13:26,720 --> 00:13:29,440 Speaker 5: Contact hundreds of these data brokers, forces them to delete 273 00:13:29,480 --> 00:13:31,520 Speaker 5: your personal info. Go to it in cogni dot com 274 00:13:31,520 --> 00:13:36,040 Speaker 5: slash armstrong, you get a big discount I ncog ni 275 00:13:36,320 --> 00:13:40,199 Speaker 5: dot com slash armstrong in Cogni dot com slash armstrong. 276 00:13:41,160 --> 00:13:43,120 Speaker 1: Got a couple of funny things. I want to point 277 00:13:43,160 --> 00:13:45,439 Speaker 1: out there a bunch of news we need to get to. 278 00:13:47,440 --> 00:13:49,920 Speaker 1: By the way, week thirty headlines we got a touch 279 00:13:49,960 --> 00:13:54,280 Speaker 1: on almost certainly won't get results in California tonight. So 280 00:13:54,440 --> 00:13:56,839 Speaker 1: don't be you know, thinking that's the way this is 281 00:13:56,880 --> 00:13:58,440 Speaker 1: going to play out. It'll take a while because they're 282 00:13:58,440 --> 00:13:59,200 Speaker 1: gonna be close. 283 00:13:59,200 --> 00:13:59,839 Speaker 2: A lot on the way. 284 00:14:00,040 --> 00:14:00,400 Speaker 5: I hear. 285 00:14:08,000 --> 00:14:11,000 Speaker 2: There is a Skyline chili egg roll in the house, 286 00:14:11,360 --> 00:14:11,760 Speaker 2: how is it? 287 00:14:12,000 --> 00:14:15,160 Speaker 1: Well, since you guys have absolutely no guts whatsoever, and 288 00:14:15,240 --> 00:14:17,600 Speaker 1: says I'm a team player, I'm going to try. 289 00:14:17,440 --> 00:14:17,880 Speaker 7: It out. 290 00:14:19,960 --> 00:14:25,000 Speaker 2: The world's most ringing I love Skyline. 291 00:14:26,080 --> 00:14:27,920 Speaker 5: Can I just say that for the record, this is 292 00:14:27,960 --> 00:14:30,160 Speaker 5: the lowest point in my career, and I have had 293 00:14:30,200 --> 00:14:30,840 Speaker 5: some low ones. 294 00:14:32,680 --> 00:14:38,040 Speaker 2: So his review was um um, and then he called 295 00:14:38,040 --> 00:14:39,400 Speaker 2: it the lowest point of this. 296 00:14:42,160 --> 00:14:45,560 Speaker 1: That's a couple of Cincinnati Red's announcers really having a 297 00:14:45,640 --> 00:14:48,880 Speaker 1: good time. I love it when baseball announcers do that 298 00:14:49,000 --> 00:14:51,000 Speaker 1: sort of thing. There should be more of that, not less, 299 00:14:51,200 --> 00:14:54,080 Speaker 1: because you have so much downtime. If you have a 300 00:14:54,200 --> 00:14:57,800 Speaker 1: couple of entertaining people or one entertaining person, there's plenty 301 00:14:57,840 --> 00:14:59,520 Speaker 1: of time to talk about lots of things. 302 00:15:00,240 --> 00:15:02,120 Speaker 5: I missed the era of my life when I was 303 00:15:02,240 --> 00:15:05,040 Speaker 5: a a Rabbit baseball fan and B had time to 304 00:15:05,120 --> 00:15:06,840 Speaker 5: watch and listen to more baseball. 305 00:15:07,080 --> 00:15:09,640 Speaker 2: They were trying a chilly egg roll on the air. 306 00:15:10,920 --> 00:15:18,400 Speaker 2: Whatever that is an oof? Oh yeah, the great baseball announcers. 307 00:15:18,600 --> 00:15:20,880 Speaker 2: I feel warmth for them, like they're old friends. 308 00:15:22,120 --> 00:15:24,000 Speaker 1: A couple of things for you, there was a Babylon 309 00:15:24,120 --> 00:15:26,760 Speaker 1: B headline Joe Biden is still making their rounds and 310 00:15:26,800 --> 00:15:28,440 Speaker 1: doing the interviews. I can't believe the I was read 311 00:15:28,480 --> 00:15:30,160 Speaker 1: in the Wall Street Journal review because they did an 312 00:15:30,200 --> 00:15:32,760 Speaker 1: interview with her. They took the whole she thought he 313 00:15:32,920 --> 00:15:38,760 Speaker 1: was having a stroke thing. Seriously obvious lie. But anyway, 314 00:15:39,200 --> 00:15:42,640 Speaker 1: Babylon B with this headline. Joe Biden explained she thought 315 00:15:42,720 --> 00:15:44,840 Speaker 1: Joe Biden had a stroke during the debate, which is 316 00:15:44,880 --> 00:15:46,400 Speaker 1: why she left him up there to die. 317 00:15:49,240 --> 00:15:53,760 Speaker 2: Wow. Wow. Oh, and you know that reminds me I'd 318 00:15:53,840 --> 00:15:56,520 Speaker 2: read in I think it was the Free Beacon. 319 00:15:57,640 --> 00:16:00,320 Speaker 5: Elsewhere in the book, Jill describes being worried that sleepy 320 00:16:00,400 --> 00:16:04,160 Speaker 5: Joe had accidentally quote drugged himself with sleeping pills or 321 00:16:04,240 --> 00:16:08,240 Speaker 5: cough syrup. That she presents this as a plausible scenario 322 00:16:08,360 --> 00:16:10,920 Speaker 5: does little to dispel concerns that the president's brain was 323 00:16:11,000 --> 00:16:12,840 Speaker 5: not functioning and she knew it all along. 324 00:16:13,200 --> 00:16:17,440 Speaker 1: Right, a different topic we talked about sixty minutes and 325 00:16:17,480 --> 00:16:19,760 Speaker 1: Scott Pelly and that whole blow up in an hour two. 326 00:16:19,960 --> 00:16:22,200 Speaker 1: If you want to get the podcast and check that out, 327 00:16:22,360 --> 00:16:25,320 Speaker 1: is quite the scene, I mean, I mean quite the 328 00:16:25,440 --> 00:16:29,120 Speaker 1: work scene. You just you have a star employee, just 329 00:16:29,440 --> 00:16:32,720 Speaker 1: laying into the new boss, and the boss eventually saying 330 00:16:33,120 --> 00:16:35,000 Speaker 1: you're not going to intimidate me and gets up and 331 00:16:35,040 --> 00:16:38,960 Speaker 1: walks out, and then everybody cheers. So you got quite 332 00:16:39,000 --> 00:16:42,920 Speaker 1: the dynamic there. Anyway, I left this out. This is 333 00:16:43,000 --> 00:16:49,960 Speaker 1: from Eric Eric ericson fellow radio person Scott Pelly being 334 00:16:50,040 --> 00:16:55,000 Speaker 1: a insufferable p word, he says. But anyway, sixty minutes 335 00:16:55,080 --> 00:17:00,600 Speaker 1: Boss Nick Bilton, Scott Pelly says to him, I find it. 336 00:17:00,640 --> 00:17:02,080 Speaker 1: I'm going to try to do it like Scott Pelley. 337 00:17:02,120 --> 00:17:03,520 Speaker 1: I can't do it. That's slow though we don't have 338 00:17:03,600 --> 00:17:07,400 Speaker 1: all day. I find it odd that you would take 339 00:17:07,560 --> 00:17:10,920 Speaker 1: this job knowing that you would never be welcomed here. 340 00:17:12,920 --> 00:17:17,920 Speaker 1: What a douchebag thing to say you're fired. I think 341 00:17:18,359 --> 00:17:20,360 Speaker 1: you said you give it forty eight hours cool down over. 342 00:17:20,560 --> 00:17:23,560 Speaker 1: Maybe maybe I don't know how valuable they think Pelly 343 00:17:23,680 --> 00:17:25,879 Speaker 1: is to the whole project. That would really hurt it 344 00:17:26,000 --> 00:17:27,840 Speaker 1: because you got to put up with a jerk if 345 00:17:27,880 --> 00:17:31,320 Speaker 1: he's important to the sports team or the show or whatever. 346 00:17:32,040 --> 00:17:34,280 Speaker 2: But that guy pulls that hole. I'm the boss here, 347 00:17:34,359 --> 00:17:36,679 Speaker 2: routine out, get the hell out of here. 348 00:17:38,520 --> 00:17:41,719 Speaker 5: Speaking of being a baseball fan, the beloved formerly San 349 00:17:41,760 --> 00:17:45,280 Speaker 5: Francisco giants started winning when they kicked berry Bonds out. 350 00:17:45,400 --> 00:17:48,040 Speaker 5: Not that they didn't win with him, but yeah, any 351 00:17:48,080 --> 00:17:50,160 Speaker 5: good point, Scott Pelly's Berry Bonds. 352 00:17:50,720 --> 00:17:55,840 Speaker 2: He really is and that's about as swoll as him too. 353 00:17:56,680 --> 00:17:56,960 Speaker 6: He is. 354 00:17:57,040 --> 00:17:59,000 Speaker 2: Well, he'll have plenty of time to tan and work 355 00:17:59,080 --> 00:17:59,560 Speaker 2: out soon. 356 00:18:00,280 --> 00:18:05,200 Speaker 5: As I mentioned to lnhie Chen coming up the agreement, 357 00:18:05,480 --> 00:18:10,480 Speaker 5: the spreading agreement that it's drugs not quote unquote homelessness 358 00:18:10,600 --> 00:18:12,400 Speaker 5: from some surprising sources. 359 00:18:13,440 --> 00:18:15,639 Speaker 2: Wherever you live, you need to listen to this and 360 00:18:15,760 --> 00:18:16,679 Speaker 2: start spreading the. 361 00:18:16,680 --> 00:18:22,840 Speaker 8: Word Armstrong and Getty, Well, they're not homeless, they're drug addicts. 362 00:18:23,040 --> 00:18:28,520 Speaker 8: Most of these people are addicted to fentanyl and met So. 363 00:18:28,680 --> 00:18:32,119 Speaker 5: Spencer Pratt there, who we've been discussing specifically in the 364 00:18:32,240 --> 00:18:36,560 Speaker 5: context of junkies ruining the cities of the West Coast 365 00:18:36,640 --> 00:18:40,000 Speaker 5: and other cities around America, and a couple of things. 366 00:18:40,080 --> 00:18:41,719 Speaker 5: Number One, he pointed out to Bill Maher the other 367 00:18:41,800 --> 00:18:44,240 Speaker 5: day that sixty percent of the junkies on the streets 368 00:18:44,280 --> 00:18:46,600 Speaker 5: in California came from elsewhere. I think we just talked 369 00:18:46,640 --> 00:18:51,240 Speaker 5: about San Francisco, La specifically. That's something we've been talking 370 00:18:51,240 --> 00:18:53,680 Speaker 5: about for years. And years, and Amy Reikert, who's a 371 00:18:53,800 --> 00:18:56,399 Speaker 5: commentator based out of San Diego. It's pointing out that 372 00:18:56,720 --> 00:19:00,000 Speaker 5: body brokers they're called, literally recruit drug addicts from up 373 00:19:00,119 --> 00:19:02,960 Speaker 5: states by them plane tickets California, then get paid for 374 00:19:03,080 --> 00:19:05,760 Speaker 5: delivering them to rehab centers and sober living homes. There 375 00:19:05,800 --> 00:19:09,320 Speaker 5: have been several prosecutions for this. But after the junkies 376 00:19:09,359 --> 00:19:11,480 Speaker 5: get kicked out of drug treatment because they're not really 377 00:19:11,960 --> 00:19:15,080 Speaker 5: serious about it anyway, and plus, you know, it's hard 378 00:19:15,080 --> 00:19:18,560 Speaker 5: to kick drugs and they're no longer profitable. They're stuck 379 00:19:18,600 --> 00:19:20,920 Speaker 5: in California. They go straight to the skid rows of 380 00:19:20,960 --> 00:19:24,760 Speaker 5: the various cities where the quote unquote homeless nonprofits can 381 00:19:24,840 --> 00:19:25,600 Speaker 5: monetize them. 382 00:19:25,920 --> 00:19:31,040 Speaker 1: I was surprised that Bill Maher was surprised that a 383 00:19:31,080 --> 00:19:33,359 Speaker 1: lot of the drug addicts living in your town or 384 00:19:33,480 --> 00:19:37,200 Speaker 1: state or from somewhere else. I mean, because he's pretty 385 00:19:37,960 --> 00:19:42,560 Speaker 1: you know, unhappy with the current state of California, even 386 00:19:42,600 --> 00:19:45,920 Speaker 1: as a lifelong Democrat, and I just would think he'd 387 00:19:45,960 --> 00:19:48,240 Speaker 1: be aware of that. Like I live in a town 388 00:19:48,400 --> 00:19:50,920 Speaker 1: that's got more drug addicts than the town next to it, 389 00:19:51,160 --> 00:19:53,119 Speaker 1: because the town next to it doesn't put up with it. 390 00:19:53,640 --> 00:19:55,879 Speaker 2: I mean just they make these decisions. 391 00:19:56,640 --> 00:19:59,280 Speaker 5: Yeah yeah, And you know there's a reason all the 392 00:19:59,359 --> 00:20:02,080 Speaker 5: junkies calls Seattle free Attle, and why they've got such 393 00:20:02,080 --> 00:20:04,359 Speaker 5: an enormous junkie problem. It's because they make it so 394 00:20:05,359 --> 00:20:10,040 Speaker 5: comfortable to be a junkie there. It's the enabling on steroids. Anyway, 395 00:20:10,040 --> 00:20:11,960 Speaker 5: I wanted to get to a couple of pieces of 396 00:20:12,200 --> 00:20:14,280 Speaker 5: fairly long audio, but I think they're both worth it. 397 00:20:15,600 --> 00:20:16,720 Speaker 2: This is so interesting. 398 00:20:16,840 --> 00:20:19,879 Speaker 5: Doug Ellen was the guy, the showrunner, the creator of 399 00:20:19,960 --> 00:20:23,680 Speaker 5: the show Entourage, which is always very entertaining. He's a 400 00:20:23,880 --> 00:20:27,960 Speaker 5: Hollywood entertainment type. He made a video around his house. 401 00:20:28,080 --> 00:20:30,719 Speaker 5: He'd have to be very wealthy then, uh yeah, Oh, 402 00:20:30,760 --> 00:20:33,360 Speaker 5: speaking of wealth, I meant to say that, oh yeah, 403 00:20:33,440 --> 00:20:37,680 Speaker 5: judging by his pad there in his neighborhood. Yeah, this 404 00:20:38,080 --> 00:20:40,560 Speaker 5: this segment, if enough people heard, it could cost many, 405 00:20:40,760 --> 00:20:44,120 Speaker 5: many millions of dollars to the homeless industrial compract complex. 406 00:20:44,280 --> 00:20:46,600 Speaker 5: Please don't murder us. We're nice fellas, and our kids 407 00:20:46,640 --> 00:20:50,359 Speaker 5: seem fun of us. So because the amount of money 408 00:20:50,520 --> 00:20:53,560 Speaker 5: being handed out is in the tens of billions of 409 00:20:53,640 --> 00:20:56,200 Speaker 5: dollars at this point. And that's just in you know, 410 00:20:56,320 --> 00:20:57,800 Speaker 5: the great state of cal Unicornia. 411 00:20:57,960 --> 00:21:01,119 Speaker 2: Anyway. So this is Doug Ellen with the video. He 412 00:21:01,320 --> 00:21:02,400 Speaker 2: just made it and put. 413 00:21:02,280 --> 00:21:07,000 Speaker 9: Out Ala Times guess letters. It's weird. One of fifteen 414 00:21:07,080 --> 00:21:09,720 Speaker 9: cameras that I now have at this house, two German shepherds, 415 00:21:09,800 --> 00:21:12,600 Speaker 9: three legal guns. Five years ago, didn't lock a door here. 416 00:21:12,720 --> 00:21:16,160 Speaker 9: But you know what happened. Two animals invaded my house. 417 00:21:16,320 --> 00:21:18,840 Speaker 9: And no, I'm not racist because they were wearing masks. 418 00:21:18,880 --> 00:21:20,320 Speaker 9: I don't know if they were white. I don't know 419 00:21:20,359 --> 00:21:21,879 Speaker 9: if they were Jewish, I don't know if they were 420 00:21:21,920 --> 00:21:24,639 Speaker 9: working rabbis. I know they were animals because they invaded 421 00:21:24,720 --> 00:21:25,040 Speaker 9: my house. 422 00:21:25,160 --> 00:21:25,359 Speaker 6: I know. 423 00:21:25,480 --> 00:21:27,600 Speaker 2: I don't care what their excuses are, like a lot 424 00:21:27,640 --> 00:21:28,480 Speaker 2: of you care. 425 00:21:28,680 --> 00:21:31,720 Speaker 10: I know invaders of home should get twenty years, but 426 00:21:31,840 --> 00:21:32,720 Speaker 10: I'm not paranoid. 427 00:21:32,840 --> 00:21:34,720 Speaker 2: So I don't believe you're bullet. 428 00:21:34,440 --> 00:21:37,040 Speaker 11: About the stats and the crime because everyone in my 429 00:21:37,040 --> 00:21:40,399 Speaker 11: neighborhood has got the same problem. They're all putting cameras 430 00:21:40,440 --> 00:21:42,840 Speaker 11: and hiring security guards because we're all getting broken into 431 00:21:43,119 --> 00:21:46,040 Speaker 11: It's not made up, it's not false, and this city 432 00:21:46,119 --> 00:21:47,960 Speaker 11: has collapsed in the last five years. 433 00:21:48,160 --> 00:21:52,080 Speaker 10: There is no denying it unless you have an agenda, 434 00:21:52,200 --> 00:21:54,439 Speaker 10: and I don't know what that is. But you say, oh, 435 00:21:54,560 --> 00:21:57,200 Speaker 10: Spencer Pratt has no experience, So how can we possibly 436 00:21:57,240 --> 00:21:57,760 Speaker 10: think about this? 437 00:21:58,119 --> 00:21:59,720 Speaker 2: What experience did Karen Bass have? 438 00:22:00,080 --> 00:22:02,680 Speaker 10: Rick Caruso, who we know can build things, who we 439 00:22:02,840 --> 00:22:05,840 Speaker 10: know can fix problems, when you made sure he couldn't win. 440 00:22:06,119 --> 00:22:08,800 Speaker 10: So right now you're putting people in the same position 441 00:22:09,080 --> 00:22:11,159 Speaker 10: that you did with Trump, who I did not vote for, 442 00:22:11,320 --> 00:22:13,720 Speaker 10: by the way you put him in by making sure 443 00:22:14,040 --> 00:22:16,000 Speaker 10: we had no options. 444 00:22:16,040 --> 00:22:18,880 Speaker 2: Okay, And that's where we are in LA and we want. 445 00:22:18,720 --> 00:22:20,920 Speaker 7: To fix this place because we don't want to be 446 00:22:21,000 --> 00:22:22,879 Speaker 7: forced out. I'm one of the people who made this 447 00:22:23,000 --> 00:22:26,000 Speaker 7: city look great. I did it for years. I glorified it. 448 00:22:26,080 --> 00:22:27,720 Speaker 7: I mean people all the time that moved here because 449 00:22:27,800 --> 00:22:30,080 Speaker 7: the show that I created, and they hate it here 450 00:22:30,160 --> 00:22:31,399 Speaker 7: now hate m. 451 00:22:33,040 --> 00:22:35,760 Speaker 2: That is a convert to sanity. 452 00:22:36,080 --> 00:22:38,800 Speaker 1: Yeah, it's too bad to take somebody out that level 453 00:22:38,840 --> 00:22:41,560 Speaker 1: to start to feel pain before you can you get attention. 454 00:22:41,680 --> 00:22:45,080 Speaker 1: You'd think every single one of us going to the 455 00:22:45,119 --> 00:22:47,400 Speaker 1: store like I did last night and waiting for someone 456 00:22:47,480 --> 00:22:49,600 Speaker 1: to unlock your shamboo. 457 00:22:49,440 --> 00:22:51,760 Speaker 2: Would be enough, right. Yeah. 458 00:22:52,119 --> 00:22:54,040 Speaker 5: And then the second piece of audio I want to 459 00:22:54,040 --> 00:22:57,920 Speaker 5: play for you is a It's a teaser essentially from 460 00:22:58,000 --> 00:23:01,440 Speaker 5: Michael Schellenberger's new document with I can't remember his co 461 00:23:01,800 --> 00:23:06,159 Speaker 5: docum documentarian, but the entire theme of it is what 462 00:23:06,280 --> 00:23:09,800 Speaker 5: we've been trying to hammer for years. The quote unquote 463 00:23:09,920 --> 00:23:14,520 Speaker 5: homeless problem is a drug problem. I think eighty percent 464 00:23:14,880 --> 00:23:19,159 Speaker 5: is an underestimate of what percentage of people in the 465 00:23:19,240 --> 00:23:23,000 Speaker 5: junkie camps are there because they're junkies. The what I 466 00:23:23,480 --> 00:23:25,359 Speaker 5: refer to, for lack of a better term, as the 467 00:23:25,440 --> 00:23:29,120 Speaker 5: righteous homeless, the folks of you know, not great intellect 468 00:23:29,440 --> 00:23:33,719 Speaker 5: or had the devastating medical bill or whatever, and they 469 00:23:33,840 --> 00:23:35,800 Speaker 5: just they can't afford housing and they've ended up on 470 00:23:35,880 --> 00:23:36,240 Speaker 5: the street. 471 00:23:36,680 --> 00:23:39,240 Speaker 2: You almost never see them. 472 00:23:39,920 --> 00:23:43,960 Speaker 5: They don't commit crimes, and I would be delighted to 473 00:23:44,119 --> 00:23:47,800 Speaker 5: have well administered fraud free programs for people like that. 474 00:23:48,440 --> 00:23:51,159 Speaker 5: But at least eighty percent of the people that the 475 00:23:51,840 --> 00:23:56,640 Speaker 5: just gigantic piles of money are flowing towards actually. 476 00:23:56,320 --> 00:23:57,120 Speaker 2: To the NGOs. 477 00:23:57,440 --> 00:23:59,600 Speaker 5: The bumps and junkies only get a tiny percentage of it. 478 00:23:59,640 --> 00:24:01,800 Speaker 5: It's the the rip off artists that get the money. 479 00:24:02,000 --> 00:24:04,520 Speaker 5: But the vast majority of those people are drug addicts, 480 00:24:04,760 --> 00:24:09,920 Speaker 5: plain and simple. Here is a sample of Michael Schellenberger's 481 00:24:09,960 --> 00:24:12,280 Speaker 5: new piece, Oh you should know they talked to a 482 00:24:12,480 --> 00:24:16,160 Speaker 5: woman a fair amount. She is visibly pregnant, which ups 483 00:24:16,240 --> 00:24:18,840 Speaker 5: the anti of horror. The rest of the people are 484 00:24:18,920 --> 00:24:24,080 Speaker 5: tattooed faced, living in a tense Uh, you know, just dwelder, junkies, 485 00:24:25,760 --> 00:24:26,399 Speaker 5: broad daylight. 486 00:24:26,440 --> 00:24:31,240 Speaker 4: I saw someone get raped, a rape bully pick nikki 487 00:24:31,960 --> 00:24:33,960 Speaker 4: rob somebody get stabbed. 488 00:24:34,000 --> 00:24:35,840 Speaker 2: You like someone robbing with the machete today, have all 489 00:24:35,880 --> 00:24:41,119 Speaker 2: my stuff with crow bars and bets. I told you 490 00:24:41,240 --> 00:24:45,440 Speaker 2: get shot in the back of the head. Somebody getting shot. No, 491 00:24:45,760 --> 00:24:48,200 Speaker 2: you will end up getting the herd out here. Other 492 00:24:48,280 --> 00:24:50,760 Speaker 2: holmess people are like your worst animations. People do not 493 00:24:50,960 --> 00:24:55,200 Speaker 2: play out here, says I have weapons, I have reputitions. Okay, 494 00:24:55,520 --> 00:25:00,960 Speaker 2: what kind of weapons? Bats? Nice, nay stages. What's your choice? Brother, 495 00:25:01,440 --> 00:25:07,720 Speaker 2: heroin crystal meth and heroine met definite. 496 00:25:07,720 --> 00:25:10,960 Speaker 12: Anybody you don't know if it doesn't smoke matten. Though, 497 00:25:11,280 --> 00:25:13,440 Speaker 12: we saw a woman who was pregnant. Just now, what 498 00:25:13,520 --> 00:25:17,480 Speaker 12: does she smoking? Any She's smoking fanel and she's eight 499 00:25:17,520 --> 00:25:18,159 Speaker 12: months pregnant. 500 00:25:18,760 --> 00:25:22,040 Speaker 1: So are you seeing more people showing up in psychotic 501 00:25:22,119 --> 00:25:25,280 Speaker 1: stats to naked now than say, two three years ago? Yes, 502 00:25:25,400 --> 00:25:25,840 Speaker 1: I think so. 503 00:25:26,240 --> 00:25:28,280 Speaker 2: I don't know what they're putting this stuff. I don't 504 00:25:28,320 --> 00:25:31,480 Speaker 2: know if those aliens, I'm not trying to sound crazy. 505 00:25:31,600 --> 00:25:36,399 Speaker 9: That's fine, must be causing all these like psychological breakdowns. 506 00:25:36,520 --> 00:25:38,600 Speaker 8: And I think that they had put like a transmitters 507 00:25:39,040 --> 00:25:41,080 Speaker 8: and hunkas I was able to hear and communicate, and 508 00:25:41,119 --> 00:25:42,359 Speaker 8: they look like I was talking to myself. 509 00:25:42,480 --> 00:25:46,119 Speaker 2: My job was to intake homeless individuals on the street, 510 00:25:46,240 --> 00:25:49,800 Speaker 2: and I don't have to expe you just choose to 511 00:25:49,840 --> 00:25:51,800 Speaker 2: be a lot of people are out here because they 512 00:25:51,880 --> 00:25:55,040 Speaker 2: want to be out here. Everyone, I mean, everyone's usually 513 00:25:55,160 --> 00:25:58,159 Speaker 2: has a serious dart. They kind of just kind of 514 00:25:58,280 --> 00:26:01,879 Speaker 2: quit society just right now. It's literally by choice. Did 515 00:26:01,920 --> 00:26:03,560 Speaker 2: you get to send the power of cared whether they're 516 00:26:03,600 --> 00:26:06,159 Speaker 2: own version? No, And I'm not trying to be like 517 00:26:06,520 --> 00:26:08,720 Speaker 2: crazy with it, but definitely not. I mean, if we're 518 00:26:08,720 --> 00:26:10,840 Speaker 2: going to be realistic to pay you to be homeless here, 519 00:26:11,080 --> 00:26:14,800 Speaker 2: they make it so easy and normalize it. Drug dealers 520 00:26:14,800 --> 00:26:16,880 Speaker 2: are just being let go over and over and over. 521 00:26:16,920 --> 00:26:20,879 Speaker 2: It's like the cops who are it's like they're your neighbor, 522 00:26:21,160 --> 00:26:24,439 Speaker 2: you know, they enable them because they allow the opener 523 00:26:24,560 --> 00:26:27,560 Speaker 2: drug market open street daaning like that when the cops 524 00:26:27,720 --> 00:26:30,840 Speaker 2: just across the street like watching them. I think they've 525 00:26:30,920 --> 00:26:33,119 Speaker 2: given up on the people that are out there on 526 00:26:33,200 --> 00:26:35,760 Speaker 2: the street. I've never seen anything like it. I've been 527 00:26:35,800 --> 00:26:39,960 Speaker 2: in the game thirty years, dude, never seen anything like you. 528 00:26:41,680 --> 00:26:44,720 Speaker 5: The game being a street drug addict and one of 529 00:26:44,760 --> 00:26:46,639 Speaker 5: the main points of it. And it was kind of 530 00:26:46,720 --> 00:26:48,959 Speaker 5: hard to hear because everything's got to have loud, stupid 531 00:26:49,040 --> 00:26:52,000 Speaker 5: music over it is that some of the counselors and 532 00:26:52,040 --> 00:26:55,360 Speaker 5: medical people they talk to are saying the super math 533 00:26:55,520 --> 00:26:58,639 Speaker 5: is that's what Spencer Pratt calls it is absolutely destroying 534 00:26:58,640 --> 00:27:03,359 Speaker 5: people's minds. He's seeing way more psychosis, and we're enabling that. 535 00:27:03,640 --> 00:27:06,480 Speaker 5: We're letting people do drugs as long as possible with 536 00:27:06,600 --> 00:27:09,800 Speaker 5: no repercussions, so they can ruin their mind but good 537 00:27:10,040 --> 00:27:13,080 Speaker 5: so they can never function in society to keep the 538 00:27:13,240 --> 00:27:20,280 Speaker 5: money flowing. Any scrammating. Didn't see any scrammating. Why that 539 00:27:20,400 --> 00:27:24,359 Speaker 5: eight month pregnant chick smoking fentanyl saying yeah, well this 540 00:27:24,480 --> 00:27:26,000 Speaker 5: is by twice I want to be out here. 541 00:27:26,840 --> 00:27:27,440 Speaker 2: That's rough. 542 00:27:27,880 --> 00:27:30,480 Speaker 5: Yeah it is, but let's keep helping her do it. 543 00:27:31,040 --> 00:27:33,680 Speaker 5: No repercussions. Last thing we want to do is any 544 00:27:33,760 --> 00:27:37,960 Speaker 5: repercussions for breaking the law. Cops just watch they watch 545 00:27:38,040 --> 00:27:39,440 Speaker 5: the open air drug market. 546 00:27:40,720 --> 00:27:43,280 Speaker 1: Scrammiting is when you scream in vomit at the same time, 547 00:27:45,160 --> 00:27:46,200 Speaker 1: which I've never done. 548 00:27:46,240 --> 00:27:46,960 Speaker 2: I don't think. 549 00:27:53,320 --> 00:27:56,440 Speaker 1: The mess, the gurgling, yes, what's the worst, and the 550 00:27:56,760 --> 00:27:59,840 Speaker 1: drawing attention to yourself. I'd rather come quietly in the corner. 551 00:28:01,119 --> 00:28:01,280 Speaker 2: Yeah. 552 00:28:01,320 --> 00:28:04,520 Speaker 5: Absolutely, It's like many acts done by human beings. It's 553 00:28:04,520 --> 00:28:06,080 Speaker 5: best enjoyed, you know, solo. 554 00:28:08,280 --> 00:28:13,720 Speaker 2: Yeah, is from the extra strong pot right, Yeah. Yeah. 555 00:28:13,920 --> 00:28:17,800 Speaker 2: They're seeing more and more of that in the hospitals too. 556 00:28:18,680 --> 00:28:23,080 Speaker 5: Do you think the message we've been trying to, you know, 557 00:28:23,320 --> 00:28:24,960 Speaker 5: get across is starting to catch on. 558 00:28:28,080 --> 00:28:29,840 Speaker 2: I don't get it. 559 00:28:30,000 --> 00:28:32,320 Speaker 1: I mean I would think you live in a lot 560 00:28:32,359 --> 00:28:35,919 Speaker 1: of cities where you drive to work or pick your 561 00:28:36,000 --> 00:28:38,000 Speaker 1: kids to school, or you're running errands on the weekend. 562 00:28:38,120 --> 00:28:41,560 Speaker 5: You see these people all over the place, and the 563 00:28:41,640 --> 00:28:44,120 Speaker 5: homeless industrial complex and their friends and the government have 564 00:28:44,360 --> 00:28:46,840 Speaker 5: convinced you that, yeah, poor unfortunate people. 565 00:28:47,280 --> 00:28:47,480 Speaker 2: Yeah. 566 00:28:48,800 --> 00:28:51,120 Speaker 1: I've known a few people like that about they go 567 00:28:51,200 --> 00:28:53,640 Speaker 1: to the store and see stuff locked up. I had 568 00:28:53,680 --> 00:28:56,600 Speaker 1: a friend like this, very nice person, but when she 569 00:28:56,760 --> 00:28:58,960 Speaker 1: would see stuff locked up at the store, her reaction 570 00:28:59,000 --> 00:29:02,000 Speaker 1: would be man, And it's the stuff they need the 571 00:29:02,080 --> 00:29:03,120 Speaker 1: most that they lock up. 572 00:29:03,960 --> 00:29:07,480 Speaker 2: That was her reaction. Wow, supposed to. 573 00:29:07,520 --> 00:29:11,720 Speaker 1: They're just shoveling in into trash bags and then selling it. Yeah, 574 00:29:11,960 --> 00:29:17,720 Speaker 1: CALLI universe goes to dives. There's scumbag thieves, all right, Gies, 575 00:29:17,960 --> 00:29:21,000 Speaker 1: there's scumbag thieves. There's a certain percentage of the population 576 00:29:21,480 --> 00:29:24,600 Speaker 1: that will steal from you rather than work. It's always 577 00:29:24,680 --> 00:29:27,280 Speaker 1: been true, it will always be true, and unless you 578 00:29:27,360 --> 00:29:30,320 Speaker 1: have systems in place to keep them from doing that, 579 00:29:30,560 --> 00:29:31,240 Speaker 1: it will happen. 580 00:29:31,960 --> 00:29:33,720 Speaker 2: You know, their negative consequences. 581 00:29:33,760 --> 00:29:36,360 Speaker 5: As Doug Ellen was pointing out as clearly a man 582 00:29:36,520 --> 00:29:39,240 Speaker 5: of the left, you made it so easy to be 583 00:29:39,320 --> 00:29:41,960 Speaker 5: a criminal. Now there's crime everywhere, And he said five 584 00:29:42,080 --> 00:29:45,520 Speaker 5: years ago, I didn't even lock my doors. Right now, 585 00:29:45,560 --> 00:29:48,200 Speaker 5: he's got eleven cameras, two dogs, multiple guns, and all 586 00:29:48,200 --> 00:29:50,520 Speaker 5: of his neighbors are doing the same. Just yeah, keep 587 00:29:50,640 --> 00:29:53,880 Speaker 5: blaming it on housing prices, Chase Louise. 588 00:29:55,200 --> 00:29:57,400 Speaker 1: Let's do a funny Greg Guttfeld joke. I'm all of 589 00:29:57,520 --> 00:29:58,480 Speaker 1: the things only come back. 590 00:29:58,520 --> 00:29:59,000 Speaker 2: Stay tuned. 591 00:30:00,000 --> 00:30:07,960 Speaker 13: Hey, there are reports that the next James Bond will 592 00:30:08,000 --> 00:30:11,480 Speaker 13: be a woman. Yeah, instead of a license to kill, 593 00:30:11,800 --> 00:30:14,280 Speaker 13: she'll have a license to blame you for whatever happened 594 00:30:14,280 --> 00:30:15,320 Speaker 13: to her in her dreams. 595 00:30:21,440 --> 00:30:25,120 Speaker 1: Got a text from somebody who voted in California. I 596 00:30:25,280 --> 00:30:28,200 Speaker 1: voted in person this morning. Was ballot number one. I 597 00:30:28,360 --> 00:30:31,120 Speaker 1: was line leader in kindergarten, so it's no surprise. 598 00:30:33,920 --> 00:30:36,600 Speaker 2: Anyway. This person, this is in California in line. 599 00:30:36,680 --> 00:30:40,360 Speaker 1: Before they opened, everyone in all caps was talking about 600 00:30:40,360 --> 00:30:43,200 Speaker 1: how much they hate the people in charge in California 601 00:30:43,280 --> 00:30:45,760 Speaker 1: right now and are hoping there is change. Really passionate 602 00:30:45,800 --> 00:30:49,360 Speaker 1: discussion is going on all ages. Black guy, Mexican dude 603 00:30:49,400 --> 00:30:51,560 Speaker 1: and his wife lady who moved from Chicago and said 604 00:30:51,600 --> 00:30:55,520 Speaker 1: California is worse than Shytown. It was very interesting eavesdropping. Wow, 605 00:30:56,040 --> 00:30:58,600 Speaker 1: hard to say if that is just representative of that 606 00:30:58,720 --> 00:31:00,760 Speaker 1: area or not. So I'm looking at an actual paper 607 00:31:00,840 --> 00:31:03,040 Speaker 1: ballot in California. I'm gonna vote in person today. 608 00:31:03,840 --> 00:31:04,360 Speaker 2: I don't know. 609 00:31:05,120 --> 00:31:07,640 Speaker 1: I haven't voted in person and forever, but I'm just 610 00:31:07,720 --> 00:31:10,680 Speaker 1: gonna show up and from what everything I understand, they'll 611 00:31:10,760 --> 00:31:14,120 Speaker 1: let me vote. Somebody said they tried, they tried to 612 00:31:14,120 --> 00:31:16,000 Speaker 1: show their driver's license. They're like, you don't need that, 613 00:31:16,720 --> 00:31:20,760 Speaker 1: which is hilarious. There are sixty people on the ballot 614 00:31:20,840 --> 00:31:22,040 Speaker 1: for governor in California. 615 00:31:22,440 --> 00:31:27,280 Speaker 2: Sixty did you know that. Wow, it's a very long ballot. Uh, 616 00:31:27,480 --> 00:31:29,600 Speaker 2: why do all these people run? What they? 617 00:31:29,720 --> 00:31:30,080 Speaker 8: What are they? 618 00:31:30,480 --> 00:31:33,360 Speaker 1: What is going on there for most of the sixty 619 00:31:33,600 --> 00:31:36,320 Speaker 1: I mean there, we all know there's like a half 620 00:31:36,400 --> 00:31:38,680 Speaker 1: a dozen who actually thought they were had a shot 621 00:31:38,720 --> 00:31:39,400 Speaker 1: at being governor? 622 00:31:39,560 --> 00:31:44,080 Speaker 5: But what are the other fifty people doing? Anybody there 623 00:31:44,120 --> 00:31:44,560 Speaker 5: for fun? 624 00:31:45,480 --> 00:31:47,240 Speaker 1: I wonder how fun it is. I wouldn't think it'd 625 00:31:47,240 --> 00:31:50,560 Speaker 1: be that fun. Lots of different You have to put 626 00:31:50,600 --> 00:31:53,840 Speaker 1: your profession on, which is kind of odd. Wonder why you. 627 00:31:54,000 --> 00:31:54,880 Speaker 2: List your profession? 628 00:31:56,040 --> 00:31:59,480 Speaker 1: When did we decide that that is such a major 629 00:31:59,760 --> 00:32:04,160 Speaker 1: p of information that of the two things I know 630 00:32:04,280 --> 00:32:07,560 Speaker 1: about you, and I only know two things your party 631 00:32:07,720 --> 00:32:09,480 Speaker 1: preference and what you do for a living. 632 00:32:10,160 --> 00:32:12,320 Speaker 5: Anyway, my friend called for jury duty the other day 633 00:32:12,360 --> 00:32:14,800 Speaker 5: and the judge asked, what do you do for a living? 634 00:32:14,840 --> 00:32:16,040 Speaker 5: What does your spouse do for a living? 635 00:32:16,840 --> 00:32:20,840 Speaker 1: Looking at through looking through some of these sixty people, 636 00:32:21,320 --> 00:32:27,000 Speaker 1: real estate agent, retired nuclear engineer, businessman, immigrants organizer, human 637 00:32:27,080 --> 00:32:34,680 Speaker 1: rights attorney. Eric Swawell is a US representative. I sleep 638 00:32:34,760 --> 00:32:36,720 Speaker 1: with Chinese spies, That's what I do for a little. 639 00:32:38,840 --> 00:32:40,000 Speaker 2: I like people that just put. 640 00:32:39,920 --> 00:32:43,000 Speaker 1: Father you might have a job putting father is fine 641 00:32:43,040 --> 00:32:55,000 Speaker 1: with me. A musician, songwriter, social worker, farmer, housing affordability advocate. 642 00:32:55,040 --> 00:33:01,880 Speaker 2: I wonder how you're going to vote communications executive, another father, chiropractor. 643 00:33:02,600 --> 00:33:05,320 Speaker 2: Chiropractors can vote in America. They should be allowed to. 644 00:33:05,480 --> 00:33:08,280 Speaker 2: Seems like a mistake anyway. 645 00:33:08,440 --> 00:33:12,200 Speaker 1: Sixty people on the ballot of all different walks and stripes, 646 00:33:12,360 --> 00:33:15,160 Speaker 1: and most of them Democrats. I wonder what you think 647 00:33:15,200 --> 00:33:16,800 Speaker 1: you're getting out of that. I'll have to ask some 648 00:33:16,880 --> 00:33:18,600 Speaker 1: of the threshold to get on the ballot. 649 00:33:19,360 --> 00:33:19,880 Speaker 2: Thenther one. 650 00:33:19,960 --> 00:33:22,680 Speaker 1: I'm guessing it's like, yeah, I'm guessing it's like seventy 651 00:33:22,720 --> 00:33:24,520 Speaker 1: five dollars and that's it. 652 00:33:24,960 --> 00:33:29,120 Speaker 2: I'll bet, just like prize. But I wonder, I wonder. 653 00:33:29,480 --> 00:33:31,080 Speaker 1: And at the end of it, you have the opportunity 654 00:33:31,120 --> 00:33:32,800 Speaker 1: to write in after the sick if you don't like 655 00:33:32,840 --> 00:33:33,880 Speaker 1: any of the sixty. 656 00:33:33,600 --> 00:33:34,400 Speaker 2: Options on there. 657 00:33:35,120 --> 00:33:37,080 Speaker 1: It's an alphabetical order, and you have to go way 658 00:33:37,320 --> 00:33:41,040 Speaker 1: down before you get to Hilton. Then there's a person 659 00:33:41,080 --> 00:33:43,600 Speaker 1: in between. Then no, it's not an alphabetic order. 660 00:33:45,000 --> 00:33:48,640 Speaker 2: I don't know what order. It's randomized. Okay, Well, Hilton and. 661 00:33:48,680 --> 00:33:51,440 Speaker 1: Be Sarah are one person apart, and those are the 662 00:33:52,120 --> 00:33:54,680 Speaker 1: likely I hope two people that end up coming out 663 00:33:54,720 --> 00:33:56,560 Speaker 1: of this because the top two run against each other 664 00:33:56,920 --> 00:33:59,640 Speaker 1: for November third, when we will all vote all over 665 00:33:59,680 --> 00:34:02,680 Speaker 1: the place to decide who gets what. I remember it 666 00:34:02,800 --> 00:34:05,680 Speaker 1: was decades ago that I first heard about ballot order 667 00:34:05,760 --> 00:34:10,479 Speaker 1: being randomized because political scientists figured out that people vote 668 00:34:10,480 --> 00:34:13,920 Speaker 1: overwhelmingly for the first person, which is crazy. Well, it's 669 00:34:13,920 --> 00:34:16,920 Speaker 1: proof democracy can't work. That is pretty much all you 670 00:34:17,080 --> 00:34:17,480 Speaker 1: need to know. 671 00:34:17,960 --> 00:34:20,840 Speaker 2: Yes you can. People cannot govern themselves if they are 672 00:34:21,040 --> 00:34:23,520 Speaker 2: likely to vote for who's at the top of the list. 673 00:34:24,800 --> 00:34:26,920 Speaker 5: Well, and it's even worse than it sounds at first. 674 00:34:26,960 --> 00:34:29,320 Speaker 5: Blush because it's a person who thinks, I don't have 675 00:34:29,480 --> 00:34:31,759 Speaker 5: any idea who any of these people are, but I 676 00:34:31,920 --> 00:34:34,400 Speaker 5: should vote, and I'm going to vote for well, the 677 00:34:34,440 --> 00:34:34,919 Speaker 5: first person. 678 00:34:35,200 --> 00:34:36,480 Speaker 2: And sometimes that's me. 679 00:34:36,719 --> 00:34:38,279 Speaker 1: There are races where I'll get in there and I 680 00:34:38,360 --> 00:34:40,560 Speaker 1: think I don't know anything about this race at all, But. 681 00:34:40,640 --> 00:34:43,360 Speaker 14: I've never thought so I'll go with whoever is the 682 00:34:43,560 --> 00:34:47,520 Speaker 14: first on the list, go by party or something, or 683 00:34:47,560 --> 00:34:49,680 Speaker 14: think I'd rather have a dad in this job than 684 00:34:49,760 --> 00:34:54,360 Speaker 14: a you know, community organizer or whatever you're basing it on. 685 00:34:54,680 --> 00:34:58,280 Speaker 14: But Covian, whoever's first on the list, you're a certain 686 00:34:58,440 --> 00:35:00,520 Speaker 14: sort of ron. 687 00:35:01,120 --> 00:35:03,279 Speaker 5: Well, I don't think it's not a conscious decision. They 688 00:35:03,400 --> 00:35:06,040 Speaker 5: just are going to pick somebody and just they will 689 00:35:06,160 --> 00:35:07,879 Speaker 5: overwhelmingly pick the first person. 690 00:35:07,920 --> 00:35:10,000 Speaker 1: You don't have most human tendency. You don't have any 691 00:35:10,040 --> 00:35:13,320 Speaker 1: more control over your human tendencies than that. Don't vote 692 00:35:13,760 --> 00:35:17,359 Speaker 1: no kidding, I know I'll go for controller here. I'll 693 00:35:17,440 --> 00:35:19,439 Speaker 1: vote for Herb Morgan because he's first on the list. 694 00:35:19,520 --> 00:35:20,560 Speaker 1: I don't know anything about him. 695 00:35:21,840 --> 00:35:23,840 Speaker 5: Hey, you know, today's the perfect day to repeat this. 696 00:35:23,960 --> 00:35:27,440 Speaker 5: And depending on when your primaries are, this advice is 697 00:35:27,520 --> 00:35:32,800 Speaker 5: for you as well. Vote for your city attorney or 698 00:35:32,880 --> 00:35:38,120 Speaker 5: your whatever, your prosecutor. Remember when George Soros got all 699 00:35:38,120 --> 00:35:41,479 Speaker 5: those radical leftists into those jobs. Yeah, and is still 700 00:35:41,560 --> 00:35:44,319 Speaker 5: doing it, refusing to enforce the law. Like we've been 701 00:35:44,360 --> 00:35:47,120 Speaker 5: talking about this half hour and school board stuff. Do 702 00:35:47,320 --> 00:35:51,200 Speaker 5: some quick research. Neglect something, and do some quick research. 703 00:35:51,320 --> 00:35:54,719 Speaker 5: Figure out who's a woke lunatic trying to teach your 704 00:35:55,400 --> 00:35:58,359 Speaker 5: kids to change their gender, and who wants to actually. 705 00:35:58,280 --> 00:36:01,200 Speaker 2: Reform government schools. Those are important elections. 706 00:36:01,520 --> 00:36:04,200 Speaker 1: I'm looking at the race for lieutenant governor, which is 707 00:36:04,280 --> 00:36:07,560 Speaker 1: a I haven't made my decision yet. I'm still trying 708 00:36:07,600 --> 00:36:10,279 Speaker 1: to weigh the pros and gods of various candidates for 709 00:36:10,400 --> 00:36:11,319 Speaker 1: that important job. 710 00:36:12,719 --> 00:36:15,600 Speaker 5: The final primary bit of trivia I found really interesting. 711 00:36:15,600 --> 00:36:17,960 Speaker 5: I was looking up who had primaries today and discover 712 00:36:18,120 --> 00:36:20,640 Speaker 5: that the first primaries of the nation are in March, 713 00:36:21,360 --> 00:36:25,480 Speaker 5: and the last ones are in September, and. 714 00:36:25,520 --> 00:36:29,120 Speaker 1: Then the country, Yeah, in the country, country votes November third. 715 00:36:29,280 --> 00:36:31,560 Speaker 1: On lots of stuff. If you miss his making the 716 00:36:31,560 --> 00:36:34,600 Speaker 1: podcast Armstrong and Getty on demand Armstrong and Getty