1 00:00:00,120 --> 00:00:03,280 Speaker 1: And we continue at two five in the afternoon. On 2 00:00:03,400 --> 00:00:06,640 Speaker 1: the John Phillips Show, Mister Randy Wangs in Culver City 3 00:00:06,720 --> 00:00:09,879 Speaker 1: begetting a lot of emails about the sewer. Lady Mary 4 00:00:09,920 --> 00:00:12,760 Speaker 1: writes in at Johnny don't like show at gmail dot com, 5 00:00:13,000 --> 00:00:15,720 Speaker 1: Hey John and Randy. A lady interviewed by Katila this 6 00:00:15,880 --> 00:00:19,000 Speaker 1: morning said she called several times about that woman living 7 00:00:19,040 --> 00:00:22,160 Speaker 1: in the sewer and nothing was done, but she thinks 8 00:00:22,200 --> 00:00:24,360 Speaker 1: that Karen Bass is doing a great job and doesn't 9 00:00:24,360 --> 00:00:25,120 Speaker 1: want to blame her. 10 00:00:26,160 --> 00:00:28,720 Speaker 2: Oh great, Oh, you're so optimistic. 11 00:00:29,880 --> 00:00:32,040 Speaker 1: You know what I'm picturing because I haven't seen the 12 00:00:32,120 --> 00:00:36,199 Speaker 1: visual yet. I'm picturing that woman with all the birds 13 00:00:36,200 --> 00:00:38,760 Speaker 1: from home alone. 14 00:00:40,040 --> 00:00:42,440 Speaker 2: You know which one I'm talking about. I'm well aware 15 00:00:42,479 --> 00:00:43,280 Speaker 2: of bird lady. 16 00:00:44,920 --> 00:00:48,159 Speaker 1: That's what I'm picturing. But I don't know what you 17 00:00:48,280 --> 00:00:52,159 Speaker 1: do with a bunch of birds in the sewer. Nothing 18 00:00:52,200 --> 00:00:54,800 Speaker 1: good that part. I'm going to have to wrap my 19 00:00:54,880 --> 00:00:55,440 Speaker 1: head around. 20 00:00:57,720 --> 00:01:00,520 Speaker 2: Eight hundred two two two five two. Who is a 21 00:01:00,520 --> 00:01:03,200 Speaker 2: telephone number? One? Eight hundred two to two two five 22 00:01:03,280 --> 00:01:04,000 Speaker 2: two two two. 23 00:01:04,760 --> 00:01:07,800 Speaker 1: So last night was supposed to be a big debate 24 00:01:08,040 --> 00:01:11,360 Speaker 1: for the candidates running for governor in the state of California. 25 00:01:12,000 --> 00:01:14,080 Speaker 1: It was going to be sponsored by the University of 26 00:01:14,120 --> 00:01:19,680 Speaker 1: Southern California, ABC seven and you Division, and they invited 27 00:01:19,760 --> 00:01:22,560 Speaker 1: all the white candidates to attend, and they told all 28 00:01:22,600 --> 00:01:25,000 Speaker 1: the minorities to get in the back of the bus. 29 00:01:26,400 --> 00:01:30,400 Speaker 1: And then guess what happened. It turned into a big fiasco. 30 00:01:31,000 --> 00:01:37,080 Speaker 2: And they canceled it. That debate less than twenty four 31 00:01:37,120 --> 00:01:40,920 Speaker 2: hours before airing was canceled. You had candidates that went 32 00:01:40,959 --> 00:01:45,440 Speaker 2: all the way down in their outfits, wearing their makeup, 33 00:01:45,560 --> 00:01:48,280 Speaker 2: ready to go on the TV that had nothing to do. 34 00:01:48,920 --> 00:01:51,600 Speaker 2: Which is why I get to spend my afternoon looking 35 00:01:51,640 --> 00:01:54,360 Speaker 2: at Katie Porter's Instagram live she did last night. 36 00:01:55,680 --> 00:01:59,000 Speaker 1: You know, the more I think about this, Randy, this 37 00:01:59,200 --> 00:02:07,280 Speaker 1: might be the most outrageous racially charged USC related miscarriage 38 00:02:07,280 --> 00:02:09,320 Speaker 1: of justice since OJ's acquittal. 39 00:02:11,400 --> 00:02:13,440 Speaker 2: What's going on in America? 40 00:02:14,040 --> 00:02:16,920 Speaker 1: And by the way, who knew that USC stood for 41 00:02:17,160 --> 00:02:18,639 Speaker 1: unusually so Caucasian. 42 00:02:20,080 --> 00:02:23,880 Speaker 2: Let's find out what happened here, what this dust up 43 00:02:24,000 --> 00:02:28,520 Speaker 2: was really about, and why everyone was freaking out about 44 00:02:28,600 --> 00:02:30,799 Speaker 2: who was going to be on that stage and who 45 00:02:30,919 --> 00:02:33,480 Speaker 2: was not going to be on that stage. Here is 46 00:02:33,520 --> 00:02:38,320 Speaker 2: a report from Conan Nolan in NBCLA. 47 00:02:38,120 --> 00:02:41,760 Speaker 3: Now to decision twenty twenty six and controversy among California's 48 00:02:41,800 --> 00:02:45,640 Speaker 3: scribernatorial candidates after the cancelation of a major debate. It 49 00:02:45,680 --> 00:02:48,640 Speaker 3: was set to air tonight on ABC seven and Univision 50 00:02:48,680 --> 00:02:52,200 Speaker 3: in partnership with USC, but the university pulled the plug 51 00:02:52,240 --> 00:02:55,440 Speaker 3: after growing criticism about its exclusion of candidates of color. 52 00:02:55,760 --> 00:02:57,960 Speaker 4: NBC fours Conan Nolan is here now to break down 53 00:02:57,960 --> 00:03:01,480 Speaker 4: the controversy behind the original debate and what this means 54 00:03:01,520 --> 00:03:02,840 Speaker 4: for voters as we move. 55 00:03:02,720 --> 00:03:05,320 Speaker 2: Forward here, we voters are still not paying attention. You 56 00:03:05,360 --> 00:03:07,919 Speaker 2: know what, maybe this story and I actually thought about this, 57 00:03:08,360 --> 00:03:11,600 Speaker 2: is it possible that this race got more attention by 58 00:03:11,600 --> 00:03:14,040 Speaker 2: this debate being canceled than if this debate aired. 59 00:03:15,320 --> 00:03:18,440 Speaker 1: If anything is going to generate attention to this race, 60 00:03:18,520 --> 00:03:21,720 Speaker 1: it's going to be drama, and this was certainly very dramatic. 61 00:03:23,040 --> 00:03:26,519 Speaker 5: Well, keep in mind, USC and ABC defended their process 62 00:03:26,840 --> 00:03:29,160 Speaker 5: that they used to determine who would be on stage 63 00:03:29,280 --> 00:03:32,600 Speaker 5: on the debate. At the debate, they said it's fair, 64 00:03:32,800 --> 00:03:35,560 Speaker 5: but those on the stage were all white and those 65 00:03:35,680 --> 00:03:38,960 Speaker 5: left off were candidates of color. But what really bothered 66 00:03:39,000 --> 00:03:41,760 Speaker 5: those who were snubbed was the weight that had been 67 00:03:41,800 --> 00:03:44,520 Speaker 5: given to candidates for governor who had raised money from 68 00:03:44,640 --> 00:03:46,880 Speaker 5: billionaires over a short period of time. 69 00:03:47,320 --> 00:03:50,880 Speaker 2: See, here's what this whole thing is about. Is they 70 00:03:50,960 --> 00:03:53,480 Speaker 2: had something that they could say, which was, hey, if 71 00:03:53,520 --> 00:03:56,720 Speaker 2: you're not pulling above let's say five percent, while you're 72 00:03:56,760 --> 00:03:59,320 Speaker 2: not going to be on that stage. But then the 73 00:03:59,400 --> 00:04:03,440 Speaker 2: invited man Mayhan, who while we really liked Matt Mayhan 74 00:04:03,800 --> 00:04:06,200 Speaker 2: and he has raised a lot of money, has not 75 00:04:06,400 --> 00:04:09,080 Speaker 2: pulled above four percent in any of the pulse. 76 00:04:09,800 --> 00:04:12,360 Speaker 1: But that is such a bad look when you're leaving 77 00:04:12,360 --> 00:04:15,280 Speaker 1: out people who are pulling better than him, Because wasn't 78 00:04:15,360 --> 00:04:18,400 Speaker 1: Via ra Gosa, Betty Yee and Besera at five percent 79 00:04:18,440 --> 00:04:19,599 Speaker 1: in the pPIC poll. 80 00:04:19,960 --> 00:04:21,880 Speaker 2: And that's where they have a point. 81 00:04:23,400 --> 00:04:26,440 Speaker 6: It had been simmering for days anger from four Democrats 82 00:04:26,440 --> 00:04:28,840 Speaker 6: who had been left off the invite list for tonight's 83 00:04:28,839 --> 00:04:34,119 Speaker 6: scubernatorial debate at USC. Former HHS Secretary Javier Basera, former 84 00:04:34,240 --> 00:04:38,360 Speaker 6: La Mayor Antonio Viragosa, former state controller Bettiyee, and state 85 00:04:38,440 --> 00:04:42,599 Speaker 6: school superintendent Tony Thurmond cried foul over the algorithm the 86 00:04:42,680 --> 00:04:46,520 Speaker 6: university used to decide who could participate and who couldn't. 87 00:04:46,839 --> 00:04:49,360 Speaker 4: I've pulled lower than some of them. 88 00:04:49,839 --> 00:04:53,160 Speaker 6: But higher than one of the candidates, Matt Mayhan, who 89 00:04:53,240 --> 00:04:53,880 Speaker 6: was invited. 90 00:04:54,200 --> 00:05:00,719 Speaker 2: This is true, That is an indisputable fac. 91 00:05:01,839 --> 00:05:05,680 Speaker 6: That's also true for another candidate. Then it all boiled 92 00:05:05,680 --> 00:05:09,520 Speaker 6: over last night the legislative leadership in Sacramento, Assembly Speaker 93 00:05:09,600 --> 00:05:12,839 Speaker 6: Robert Reevas and State Senate President pro tem Monique Lemon 94 00:05:13,120 --> 00:05:16,400 Speaker 6: set a letter to USC demanding the university and the 95 00:05:16,440 --> 00:05:18,600 Speaker 6: four minority candidates to the debate stage. 96 00:05:18,640 --> 00:05:21,480 Speaker 2: At the last minute, you build those four podiums. 97 00:05:21,520 --> 00:05:24,880 Speaker 1: Now, well, what's so funny is that universities are the 98 00:05:24,880 --> 00:05:28,760 Speaker 1: most PC institutions on planet Earth, Yet when it comes 99 00:05:28,760 --> 00:05:31,840 Speaker 1: to protecting a seat for the Democratic Party, they just 100 00:05:31,920 --> 00:05:34,320 Speaker 1: tell all their voters to press two for a Spanish 101 00:05:34,360 --> 00:05:35,240 Speaker 1: speaking candidate. 102 00:05:35,800 --> 00:05:40,359 Speaker 2: By the way, isn't it so USC that, regardless of polling, 103 00:05:40,760 --> 00:05:43,480 Speaker 2: if you had enough billionaire backing, you could buy your 104 00:05:43,480 --> 00:05:47,640 Speaker 2: way into USC. Well, I do think on stage there 105 00:05:47,760 --> 00:05:50,799 Speaker 2: was enough room for Felicity Hoffmann and Lori Laughlin's kids. 106 00:05:51,400 --> 00:05:53,000 Speaker 2: They're never going to live that one down. 107 00:05:53,720 --> 00:05:56,760 Speaker 6: And if they refused, State Democrats would call on voters 108 00:05:56,760 --> 00:06:00,000 Speaker 6: to boycott the debate each of the Democratic camps. 109 00:06:00,200 --> 00:06:02,479 Speaker 2: That wouldn't have meant a damn thing. Do you think 110 00:06:02,560 --> 00:06:05,320 Speaker 2: anybody who was going to watch the debate was going 111 00:06:05,400 --> 00:06:09,039 Speaker 2: to turn it off because Robert Reeves said to no, 112 00:06:09,200 --> 00:06:11,200 Speaker 2: maybe the friends and family are the ones that are 113 00:06:11,279 --> 00:06:11,880 Speaker 2: left out. 114 00:06:13,080 --> 00:06:16,400 Speaker 6: Each of the Democratic candidates who had been invited claimed 115 00:06:16,480 --> 00:06:19,000 Speaker 6: they had called on the university to invite everyone. 116 00:06:19,520 --> 00:06:21,839 Speaker 2: I sent out a letter saying, oh boy, that voice 117 00:06:22,680 --> 00:06:26,000 Speaker 2: here comes super Dave Osborne. I sent out a letter saying, 118 00:06:26,040 --> 00:06:29,279 Speaker 2: this seems grossly unfair, flat out wrong. But I'm still 119 00:06:29,279 --> 00:06:32,719 Speaker 2: going to participate because why not? And you should change 120 00:06:32,720 --> 00:06:34,680 Speaker 2: the criteria and make this a fair debate. 121 00:06:34,800 --> 00:06:36,440 Speaker 6: In the end, it was all too much for the 122 00:06:36,520 --> 00:06:40,360 Speaker 6: university and ABC it's broadcast partner. Last night, in a 123 00:06:40,440 --> 00:06:43,480 Speaker 6: joint statement, they announced the cancelation of the debate while 124 00:06:43,480 --> 00:06:46,720 Speaker 6: defending the process that had been used in selecting the candidates. 125 00:06:46,880 --> 00:06:48,280 Speaker 2: Then why'd they cancel it? 126 00:06:49,080 --> 00:06:51,640 Speaker 1: Yeah, there's no need to cancel it if you're defending 127 00:06:51,680 --> 00:06:53,920 Speaker 1: how you conducted yourself. 128 00:06:55,080 --> 00:06:59,599 Speaker 2: Apparently people that are very tight knit with USC were 129 00:06:59,640 --> 00:07:02,560 Speaker 2: pressed them to put Mayhen on there because Mayhen was 130 00:07:02,600 --> 00:07:06,160 Speaker 2: a late injury and Mayhon is the billionaire backing and 131 00:07:06,240 --> 00:07:09,800 Speaker 2: based on the power players that we know in Los Angeles, 132 00:07:10,720 --> 00:07:13,320 Speaker 2: was it Rick Caruso, who was strong arming them to 133 00:07:13,320 --> 00:07:16,440 Speaker 2: put Mayhen on the stage. Well, it's not Oj Simpson. 134 00:07:16,480 --> 00:07:17,760 Speaker 2: He's no longer with us. 135 00:07:18,200 --> 00:07:20,160 Speaker 6: This is not the way you do business, and money 136 00:07:20,160 --> 00:07:23,600 Speaker 6: should not dictate who runs for office who gets elected. 137 00:07:24,520 --> 00:07:27,320 Speaker 5: Javier Vassarah, the former HHS secretary, and one of those 138 00:07:27,360 --> 00:07:28,520 Speaker 5: so fundamental to all. 139 00:07:28,400 --> 00:07:29,800 Speaker 6: Of this was Matt Mayhan. 140 00:07:29,920 --> 00:07:32,160 Speaker 5: He's the mayor of San Jose. He's polling in the 141 00:07:32,200 --> 00:07:35,480 Speaker 5: single digits along with all the others. But because of 142 00:07:35,600 --> 00:07:37,960 Speaker 5: the way they decided who is going to be on 143 00:07:38,040 --> 00:07:41,240 Speaker 5: the debate, Mayhan's ability to raise a lot of money 144 00:07:41,440 --> 00:07:43,680 Speaker 5: from a lot of billionaires in Silicon Valley. 145 00:07:43,680 --> 00:07:47,440 Speaker 2: Pushed Silicon Valley conan. No one in that shop is 146 00:07:47,440 --> 00:07:51,360 Speaker 2: willing to correct him. Well, you know you've been in 147 00:07:51,400 --> 00:07:54,600 Speaker 2: the business long enough. They're not going to correct him. 148 00:07:54,680 --> 00:07:55,680 Speaker 2: Just let him go with it. 149 00:07:57,000 --> 00:07:59,480 Speaker 1: Okay, But there are more breastium plans in the state 150 00:07:59,520 --> 00:08:03,600 Speaker 1: of californ than probably the forty nine other states combined. 151 00:08:04,440 --> 00:08:09,760 Speaker 1: We can't make a distinction between our silicon and our silicone. 152 00:08:09,920 --> 00:08:13,360 Speaker 5: M A lot of billionaires in Silicon Valley pushed him 153 00:08:13,480 --> 00:08:16,120 Speaker 5: over the top. I mean he leaped frogged over. Javier 154 00:08:16,160 --> 00:08:18,320 Speaker 5: Massera and Antonio Viragosa. 155 00:08:18,480 --> 00:08:20,720 Speaker 2: It's just it's not a great look that even though 156 00:08:20,760 --> 00:08:23,400 Speaker 2: Mayhan didn't have the polling, we got to put him 157 00:08:23,440 --> 00:08:25,240 Speaker 2: on there because he's got all the money. 158 00:08:27,120 --> 00:08:29,040 Speaker 1: Well, I think you're one hundred percent right. I think 159 00:08:29,120 --> 00:08:31,080 Speaker 1: Rick Caruso called him the favor. 160 00:08:31,560 --> 00:08:35,600 Speaker 2: And that's what they said was really uninteresting. Rick Caruso connection. 161 00:08:36,840 --> 00:08:40,960 Speaker 2: Do you remember who's yacht Laurie Lochlin's daughter was on 162 00:08:41,280 --> 00:08:46,800 Speaker 2: when the scandal broke out about usc Olivia Jade. Who's 163 00:08:46,880 --> 00:08:48,160 Speaker 2: yacht was Gian John? 164 00:08:48,800 --> 00:08:51,200 Speaker 1: I think the other OJ was on the yacht with 165 00:08:51,400 --> 00:08:52,800 Speaker 1: none other than Rick Caruso. 166 00:08:56,920 --> 00:08:59,559 Speaker 5: And that's what they said was really unfair because it 167 00:08:59,720 --> 00:09:05,960 Speaker 5: actually rewarded billionaire contribution over what they had been doing, 168 00:09:05,960 --> 00:09:07,640 Speaker 5: which is raising money for months. 169 00:09:07,960 --> 00:09:10,840 Speaker 4: So what happens moving forward? There are other debates coming 170 00:09:10,920 --> 00:09:13,920 Speaker 4: up before the primary in June. Will the matrix or 171 00:09:13,920 --> 00:09:17,080 Speaker 4: the criteria change and who decides what that will be? 172 00:09:17,200 --> 00:09:19,920 Speaker 5: Well for the Democratic Party, it's going to be tough. 173 00:09:20,200 --> 00:09:22,640 Speaker 5: You're a big tent party, You're you're a party of 174 00:09:23,000 --> 00:09:26,839 Speaker 5: of you know, of cultural diversity. For you to have 175 00:09:26,880 --> 00:09:29,480 Speaker 5: a debate or to participate in a debate that's all 176 00:09:29,480 --> 00:09:32,480 Speaker 5: white and not and and and the candidates of color 177 00:09:33,080 --> 00:09:35,960 Speaker 5: are are set aside. That's a problem so going forward. 178 00:09:36,080 --> 00:09:38,400 Speaker 2: But that's a weird thing to point out too, because 179 00:09:38,440 --> 00:09:42,880 Speaker 2: it's also based on the polling. The electorate is rejecting 180 00:09:42,960 --> 00:09:45,480 Speaker 2: the candidates of color. It's almost like color has nothing 181 00:09:45,520 --> 00:09:46,000 Speaker 2: to do with it. 182 00:09:46,559 --> 00:09:50,080 Speaker 1: Well, yes, and no, the candidates who are invited, with 183 00:09:50,120 --> 00:09:54,200 Speaker 1: the exception of Mayhan, are certainly polling better than the 184 00:09:54,200 --> 00:09:59,320 Speaker 1: ones that were left out. However, political polling doesn't tell 185 00:09:59,360 --> 00:10:00,840 Speaker 1: you ex exactly where. 186 00:10:00,640 --> 00:10:03,680 Speaker 2: The race is. It just gives you an idea. 187 00:10:04,520 --> 00:10:07,960 Speaker 1: And there's always a margin of air associated with any poll, 188 00:10:08,640 --> 00:10:12,560 Speaker 1: so poles essentially tell you the race is inside the 189 00:10:12,640 --> 00:10:15,720 Speaker 1: margin of air or outside the margin of air. That's 190 00:10:15,760 --> 00:10:18,000 Speaker 1: what's important to take away from them. If you're reading 191 00:10:18,000 --> 00:10:20,640 Speaker 1: the poll and you're trying to determine who's going to win, 192 00:10:20,679 --> 00:10:23,080 Speaker 1: who's going to lose, who should spend money, who should 193 00:10:23,320 --> 00:10:26,240 Speaker 1: pack it up, And all the polls say in this 194 00:10:26,320 --> 00:10:30,240 Speaker 1: particular race is that three or bunch together at the top, 195 00:10:31,280 --> 00:10:33,680 Speaker 1: A bunch of them are bunched together at the bottom, 196 00:10:34,040 --> 00:10:36,240 Speaker 1: but the ones at the bottom are within the margin 197 00:10:36,280 --> 00:10:38,200 Speaker 1: of air of the ones at the top, which means 198 00:10:38,520 --> 00:10:42,720 Speaker 1: they're all one big clump. And I think the argument 199 00:10:42,760 --> 00:10:44,840 Speaker 1: that the ones at the bottom are using is, look, 200 00:10:45,600 --> 00:10:47,720 Speaker 1: if we're within the margin of air of the top 201 00:10:47,760 --> 00:10:52,360 Speaker 1: performing Democrat, you can't call us losers and exclude us 202 00:10:52,400 --> 00:10:56,560 Speaker 1: from the debates. That means voters are still deciding. This 203 00:10:56,640 --> 00:10:57,760 Speaker 1: is the critical moment. 204 00:10:57,880 --> 00:10:58,520 Speaker 2: This is when. 205 00:10:58,400 --> 00:11:01,560 Speaker 1: Everyone's looking to have moment and to break away from 206 00:11:01,640 --> 00:11:05,280 Speaker 1: the pack. And if you deny us that ability, then 207 00:11:05,320 --> 00:11:08,000 Speaker 1: the people who are organizing the debates are going to 208 00:11:08,040 --> 00:11:11,520 Speaker 1: be the decision makers and the shot callers, not the voters. 209 00:11:11,760 --> 00:11:14,520 Speaker 2: Well, and to that point, every single poll that has 210 00:11:14,559 --> 00:11:18,040 Speaker 2: come out, the biggest number, even higher than Hilton or 211 00:11:18,080 --> 00:11:24,240 Speaker 2: Bianco is always undecided. Are set aside. That's a problem. 212 00:11:24,280 --> 00:11:28,120 Speaker 5: So going forward, I believe that these whoever's putting on 213 00:11:28,200 --> 00:11:30,800 Speaker 5: a debate, and we have one in May, is going 214 00:11:30,840 --> 00:11:34,520 Speaker 5: to invite everybody. And because you know, regardless of what. 215 00:11:34,440 --> 00:11:36,400 Speaker 2: Youth debate is going to go from a two hour 216 00:11:36,440 --> 00:11:39,560 Speaker 2: to a four hour, maybe they should do like what 217 00:11:39,640 --> 00:11:43,920 Speaker 2: they did in the twenty sixteen Republican primary, remember where 218 00:11:43,960 --> 00:11:47,040 Speaker 2: there was so many people running that they had the 219 00:11:47,080 --> 00:11:49,440 Speaker 2: main debate and then they had the JV debate with 220 00:11:49,520 --> 00:11:50,880 Speaker 2: people like Bobby Jindall. 221 00:11:52,120 --> 00:11:55,559 Speaker 1: Well, listen, if it goes on forever on NBC, then 222 00:11:55,600 --> 00:11:57,960 Speaker 1: that means at least none, no one will be subjected 223 00:11:58,000 --> 00:12:01,560 Speaker 1: to Seth Myers. 224 00:12:00,080 --> 00:12:01,040 Speaker 6: Is going to invite everybody. 225 00:12:01,200 --> 00:12:05,200 Speaker 5: And because you know, regardless of what you think how 226 00:12:05,240 --> 00:12:08,640 Speaker 5: fair it was, this had a real problem and it's 227 00:12:08,679 --> 00:12:12,439 Speaker 5: the optics particularly were really bad. And the university's defending all. 228 00:12:12,440 --> 00:12:15,320 Speaker 2: And this was just a week after the head of 229 00:12:15,400 --> 00:12:19,000 Speaker 2: the California Democratic Party, Rusty Hicks said on a letter 230 00:12:19,080 --> 00:12:22,880 Speaker 2: pretty much isolated, singling out all the candidates of colors, 231 00:12:22,920 --> 00:12:26,280 Speaker 2: saying get out, oh yeah, the only people they hate 232 00:12:26,320 --> 00:12:27,880 Speaker 2: more than racists or minorities. 233 00:12:28,520 --> 00:12:32,679 Speaker 3: And the university's defending also, it's professor for the algorithm itself. 234 00:12:32,520 --> 00:12:35,040 Speaker 5: Right, and the professor is well known, he's highly regarded 235 00:12:35,080 --> 00:12:39,079 Speaker 5: political scientists. And they argue that they told the candidates 236 00:12:39,120 --> 00:12:40,839 Speaker 5: from the outset, this is what we're going to do. 237 00:12:41,280 --> 00:12:41,439 Speaker 2: Now. 238 00:12:41,440 --> 00:12:44,280 Speaker 5: The candidates believe that they changed the rules, actually that 239 00:12:44,360 --> 00:12:46,640 Speaker 5: they gave greater weight to those who raised money over 240 00:12:46,679 --> 00:12:49,280 Speaker 5: a shorter period of time. And that's Matt Mayhean because 241 00:12:49,280 --> 00:12:51,240 Speaker 5: he entered the race you know later. 242 00:12:51,520 --> 00:12:54,400 Speaker 2: That's exactly what this is. And again I say this 243 00:12:54,480 --> 00:12:58,000 Speaker 2: is someone that likes Mayhean, but they definitely twisted the 244 00:12:58,080 --> 00:13:01,320 Speaker 2: rules to put Mayheen in there, and they're making the 245 00:13:01,360 --> 00:13:04,240 Speaker 2: fall guy, some guy with a beard and a pipe. Well, 246 00:13:04,240 --> 00:13:07,640 Speaker 2: and when you're talking about an institution like USC, a 247 00:13:07,679 --> 00:13:11,080 Speaker 2: lot of the people who can strong arm the officials 248 00:13:11,200 --> 00:13:13,880 Speaker 2: are the billionaires because they're also the big donors for 249 00:13:13,920 --> 00:13:14,800 Speaker 2: a school like that. 250 00:13:15,600 --> 00:13:18,439 Speaker 1: Yeah, that's the way it works at these institutions. 251 00:13:19,240 --> 00:13:20,080 Speaker 2: Buy your way in. 252 00:13:20,880 --> 00:13:23,640 Speaker 1: You have kids that are really dumb, but you want 253 00:13:23,679 --> 00:13:26,400 Speaker 1: them to go there because that's where you went. You 254 00:13:26,520 --> 00:13:29,200 Speaker 1: just write a big enough check and guess what, you're 255 00:13:29,240 --> 00:13:30,000 Speaker 1: home free. 256 00:13:31,080 --> 00:13:34,920 Speaker 5: But yeah, the academic senate there, they're saying, listen, don't 257 00:13:34,960 --> 00:13:35,959 Speaker 5: throw him under the bus. 258 00:13:36,000 --> 00:13:37,640 Speaker 2: He did his job and it was accurate. 259 00:13:38,120 --> 00:13:40,320 Speaker 4: You'll have what eight people on the stage. I remember 260 00:13:40,360 --> 00:13:42,560 Speaker 4: you and I doing a debate years ago where we 261 00:13:42,640 --> 00:13:43,839 Speaker 4: had six. 262 00:13:43,760 --> 00:13:46,400 Speaker 6: I believe, right, And that was a lot. Yeah, you 263 00:13:46,400 --> 00:13:46,800 Speaker 6: could have. 264 00:13:47,120 --> 00:13:50,760 Speaker 5: You could have could have ten, actually ten candidates, because 265 00:13:50,800 --> 00:13:53,320 Speaker 5: you have two Republicans who are by the way, leading 266 00:13:53,800 --> 00:13:55,240 Speaker 5: in the latest polls. 267 00:13:56,360 --> 00:14:00,080 Speaker 2: There you go, that's the latest on the debate that wasn't. 268 00:14:01,720 --> 00:14:06,880 Speaker 1: And I'll tell you beware of the law of unintended consequences. 269 00:14:07,480 --> 00:14:10,760 Speaker 1: I always say this, it's not just in politics, it's 270 00:14:10,840 --> 00:14:12,400 Speaker 1: in life. 271 00:14:13,080 --> 00:14:15,679 Speaker 2: Be careful for what you wish for. 272 00:14:17,320 --> 00:14:20,600 Speaker 1: And right now, what the Democratic Party wants to do 273 00:14:21,200 --> 00:14:23,960 Speaker 1: is they want to take all of these candidates who 274 00:14:24,040 --> 00:14:27,520 Speaker 1: are not polling at the top and they want them 275 00:14:27,520 --> 00:14:31,120 Speaker 1: to drop dead because they say they have no chance 276 00:14:31,920 --> 00:14:33,320 Speaker 1: and they're just going to screw it up for the 277 00:14:33,360 --> 00:14:37,320 Speaker 1: Democratic Party and it could result in a Republican becoming 278 00:14:37,360 --> 00:14:41,640 Speaker 1: the next governor of California. Well, go back to twenty 279 00:14:41,720 --> 00:14:49,080 Speaker 1: sixteen when Hillary Clinton, in her infinite wisdom, got the 280 00:14:49,160 --> 00:14:52,280 Speaker 1: grand idea that Jeb Bush was the guy who could 281 00:14:52,320 --> 00:14:54,400 Speaker 1: have beaten her. 282 00:14:54,720 --> 00:14:56,200 Speaker 2: And what did she want. 283 00:14:56,720 --> 00:15:00,440 Speaker 1: She wanted Donald Trump to be the Republican nominee because 284 00:15:00,480 --> 00:15:02,920 Speaker 1: she thought she would stop all over him in a 285 00:15:03,000 --> 00:15:08,680 Speaker 1: general election. And so the Democrats meddled in that Republican 286 00:15:08,760 --> 00:15:13,160 Speaker 1: primary to try to get their preferred candidate, which was 287 00:15:13,200 --> 00:15:19,040 Speaker 1: Donald Trump, and they got him, and then he turned 288 00:15:19,040 --> 00:15:24,080 Speaker 1: around and beat her in the general. Just because you 289 00:15:24,160 --> 00:15:27,520 Speaker 1: think you're smart and you think you know where an 290 00:15:27,560 --> 00:15:31,800 Speaker 1: election is going, that may not necessarily be the case. 291 00:15:34,720 --> 00:15:37,120 Speaker 1: And you look at those three candidates who are in 292 00:15:37,160 --> 00:15:40,080 Speaker 1: the top three, right now for the Democratic Party running 293 00:15:40,080 --> 00:15:43,200 Speaker 1: for governor, every single one of them has a million 294 00:15:43,240 --> 00:15:48,560 Speaker 1: and one problems with Eric Swalwell being at the top 295 00:15:48,640 --> 00:15:51,480 Speaker 1: of the list. That guy is a ticking time bomb. 296 00:15:53,080 --> 00:15:57,160 Speaker 1: He has no judgment, He has an ego the size 297 00:15:57,160 --> 00:16:02,640 Speaker 1: of North Dakota. All he created gives his attention, and 298 00:16:02,760 --> 00:16:07,280 Speaker 1: that guy is going to blow up. Whether he blows 299 00:16:07,280 --> 00:16:11,400 Speaker 1: out before the primary is over, and another Democratic candidate 300 00:16:11,440 --> 00:16:15,400 Speaker 1: benefits because if you have someone who's polling well who 301 00:16:15,440 --> 00:16:19,560 Speaker 1: all of a sudden gets blown to smithereens, then the 302 00:16:19,600 --> 00:16:24,480 Speaker 1: Democrats probably avoid two Republicans on the November ballot. So 303 00:16:24,600 --> 00:16:27,160 Speaker 1: it might be the Democratic Party that makes him sit 304 00:16:27,200 --> 00:16:28,000 Speaker 1: on the grenade. 305 00:16:28,480 --> 00:16:31,400 Speaker 2: I don't know. Well, you look at the timeline here 306 00:16:31,480 --> 00:16:34,440 Speaker 2: where yes, election day is June, but the ballots go 307 00:16:34,520 --> 00:16:38,040 Speaker 2: out in early May. So that would mean if you're 308 00:16:38,080 --> 00:16:41,680 Speaker 2: sitting on a big pile of OPO right now, you're 309 00:16:41,760 --> 00:16:43,040 Speaker 2: dumping it in April. 310 00:16:44,200 --> 00:16:46,880 Speaker 1: Do you remember when he first announced in all of 311 00:16:46,920 --> 00:16:50,440 Speaker 1: those Democratic Party strategists who know far more about that 312 00:16:50,480 --> 00:16:54,160 Speaker 1: world than we do, we're tweeting that this guy was 313 00:16:54,200 --> 00:16:59,040 Speaker 1: going to wreck his reputation, wreck his political career, and 314 00:16:59,120 --> 00:17:02,480 Speaker 1: would become an pariah if he follows through with this, 315 00:17:02,840 --> 00:17:06,840 Speaker 1: because everyone knows about his indiscretions and what he's doing 316 00:17:06,880 --> 00:17:08,000 Speaker 1: that he shouldn't be doing. 317 00:17:08,840 --> 00:17:12,080 Speaker 2: I think there's going to be a very, very very 318 00:17:12,400 --> 00:17:14,920 Speaker 2: ugly April in this primary. 319 00:17:15,760 --> 00:17:19,440 Speaker 1: But here's the problem though. Let's say you're via re 320 00:17:19,520 --> 00:17:23,520 Speaker 1: Gosa and you're sitting on all that information. If you 321 00:17:23,720 --> 00:17:25,920 Speaker 1: use it, but you don't use it at the exact 322 00:17:26,000 --> 00:17:31,040 Speaker 1: right time, it could benefit Tom Steyer, or it could 323 00:17:31,040 --> 00:17:35,520 Speaker 1: benefit Katie Porter. You not only have to knock him out, 324 00:17:35,840 --> 00:17:40,160 Speaker 1: you have to lift yourself up. And I would imagine, 325 00:17:41,000 --> 00:17:44,040 Speaker 1: based on everything that we've seen and heard that there's 326 00:17:44,119 --> 00:17:48,439 Speaker 1: probably a number of Democratic candidates who have the dynamite 327 00:17:48,440 --> 00:17:53,600 Speaker 1: to blow Swallwell up. But if you're Betty Yee, let's say, 328 00:17:53,640 --> 00:17:57,320 Speaker 1: and you have it, how does that end up benefiting you? 329 00:17:58,440 --> 00:18:01,840 Speaker 1: That's the hard part. And I don't know how you 330 00:18:01,920 --> 00:18:04,320 Speaker 1: do that if you're them, I don't know how you 331 00:18:04,400 --> 00:18:05,520 Speaker 1: time it out just right. 332 00:18:06,240 --> 00:18:09,600 Speaker 2: So are the Ye's and the Thurmons waiting for Porter, 333 00:18:10,040 --> 00:18:13,280 Speaker 2: Swallwell and Styre to all blow up at the same time. 334 00:18:14,080 --> 00:18:16,040 Speaker 1: Well, you know there's going to be more videos of 335 00:18:16,119 --> 00:18:21,240 Speaker 1: Porter being nasty, to steal staffers and probably anyone. 336 00:18:20,920 --> 00:18:23,000 Speaker 2: Else get out of my shop. 337 00:18:24,080 --> 00:18:27,520 Speaker 1: So that's going to be her problem. With Stire, it's 338 00:18:27,520 --> 00:18:30,399 Speaker 1: going to be sexual or it's going to be him 339 00:18:31,320 --> 00:18:34,679 Speaker 1: stealing money from something. It's going to be him using 340 00:18:35,520 --> 00:18:39,480 Speaker 1: money from his campaign accounts inappropriately, something along those lines, 341 00:18:39,720 --> 00:18:42,919 Speaker 1: doing something bad with an intern. It's going to be 342 00:18:42,960 --> 00:18:47,560 Speaker 1: something regarding moral turpitude. And then you have Stier, who 343 00:18:47,600 --> 00:18:50,320 Speaker 1: has just limited appeal because he's trying to buy the election. 344 00:18:52,640 --> 00:18:55,120 Speaker 1: If I'm Via Regosa, I'm looking at them and I'm 345 00:18:55,160 --> 00:18:58,600 Speaker 1: going I am head and shoulders better than all of them. 346 00:19:00,240 --> 00:19:02,840 Speaker 1: If you're Matt Mahan, you go, I'm the most successful 347 00:19:02,840 --> 00:19:06,240 Speaker 1: big city mayor in the state. Why would you even 348 00:19:06,240 --> 00:19:08,920 Speaker 1: be fooled around with these clowns when you have me. 349 00:19:11,080 --> 00:19:13,040 Speaker 1: I don't think any of them are dropping out, and 350 00:19:13,080 --> 00:19:17,000 Speaker 1: I don't think they should. And I think that if 351 00:19:17,040 --> 00:19:20,360 Speaker 1: anything is going to save the Democrats from having two 352 00:19:20,400 --> 00:19:24,120 Speaker 1: Republicans on the November ballot, it's going to be because 353 00:19:24,160 --> 00:19:27,480 Speaker 1: one of those top three gets incinerated over something. 354 00:19:28,560 --> 00:19:31,439 Speaker 2: And maybe it happens to more than one of them. 355 00:19:31,840 --> 00:19:35,360 Speaker 2: I don't know. Eight hundred two two two five two 356 00:19:35,440 --> 00:19:38,640 Speaker 2: two two is the telephone number one eight hundred two 357 00:19:38,720 --> 00:19:40,360 Speaker 2: two two five two two two. 358 00:19:40,800 --> 00:19:42,600 Speaker 1: If you'd like to email the show, you can do 359 00:19:42,640 --> 00:19:45,520 Speaker 1: so at Johnny Don't like show at gmail dot com. 360 00:19:45,720 --> 00:19:49,120 Speaker 1: That's Johnny don't like show at gmail dot com. 361 00:19:49,760 --> 00:19:50,399 Speaker 2: And Randy. 362 00:19:50,600 --> 00:19:54,600 Speaker 1: If you missed last week's interview with Antonio via Rigos, 363 00:19:54,840 --> 00:19:57,240 Speaker 1: candidate for governor, and you want to find out what 364 00:19:57,280 --> 00:19:59,119 Speaker 1: you missed out on, that's easy to do. 365 00:19:59,480 --> 00:20:01,359 Speaker 2: Well. The first first five minutes of the segment is 366 00:20:01,400 --> 00:20:03,440 Speaker 2: me vamping because he called in light, but the rest 367 00:20:03,440 --> 00:20:05,840 Speaker 2: of it was a great interview. Search for The John 368 00:20:05,840 --> 00:20:08,600 Speaker 2: Phillips Show. Wherever you get your podcast. That could be 369 00:20:08,640 --> 00:20:13,120 Speaker 2: the Apple podcast app, iHeart Spotify, search for the John 370 00:20:13,160 --> 00:20:16,240 Speaker 2: Phillips Show, hit subscribe, you could download all the episodes. 371 00:20:16,280 --> 00:20:18,200 Speaker 2: You could do a Google on the YouTube. You could 372 00:20:18,240 --> 00:20:21,200 Speaker 2: get the free KABC app, the free KSFO app, the 373 00:20:21,280 --> 00:20:24,080 Speaker 2: KMJ now app. We're on that station Saturdays at noon. 374 00:20:24,520 --> 00:20:27,000 Speaker 2: So many different ways to listen live to our show 375 00:20:27,119 --> 00:20:31,600 Speaker 2: and download all of the podcasts, including Johnny's interview with 376 00:20:31,760 --> 00:20:37,880 Speaker 2: mister Peanut Pnine. All right, so we know that the 377 00:20:37,960 --> 00:20:41,680 Speaker 2: SEIU is trying to put an initiative on the ballot 378 00:20:41,720 --> 00:20:46,879 Speaker 2: that would be a wealth confiscation text targeting billionaires. Unfortunately, 379 00:20:47,000 --> 00:20:49,919 Speaker 2: it's already cost over a trillion dollars in wealth to 380 00:20:50,000 --> 00:20:53,760 Speaker 2: move out of the state. They believe that the California 381 00:20:53,800 --> 00:20:57,880 Speaker 2: electorate would likely approved an initiative like the one the 382 00:20:57,920 --> 00:21:03,360 Speaker 2: SCIU wants. According to a new poll, those fears are 383 00:21:03,359 --> 00:21:10,120 Speaker 2: grounded in fact, that's right. The billionaire Tax. Polling shows 384 00:21:10,160 --> 00:21:14,960 Speaker 2: it likely to pass with over fifty two percent support. 385 00:21:15,520 --> 00:21:18,760 Speaker 2: Here's a report from kpix. 386 00:21:18,080 --> 00:21:20,560 Speaker 7: Keipning it has yet to qualify for the ballot, but 387 00:21:20,600 --> 00:21:23,280 Speaker 7: it is already one of the most talked about measures 388 00:21:23,280 --> 00:21:27,080 Speaker 7: that could go before voters in November. We're talking about 389 00:21:27,119 --> 00:21:31,280 Speaker 7: the so called billionaire's tax. According to Forbes's latest list, 390 00:21:31,520 --> 00:21:34,000 Speaker 7: there are nine hundred and eighty nine billionaires living right 391 00:21:34,040 --> 00:21:36,120 Speaker 7: here in the US, and a big chunk of them 392 00:21:36,480 --> 00:21:42,520 Speaker 7: are in California, not be more. That includes Google co 393 00:21:42,640 --> 00:21:47,200 Speaker 7: founders Sergey Brinn and Larry Page, in Vidia CEO Jensen Wong, 394 00:21:47,280 --> 00:21:50,800 Speaker 7: and Metis Mark Zuckerberg. The proposed measure would put a 395 00:21:50,840 --> 00:21:54,159 Speaker 7: one time tax on these billionaires in about two hundred 396 00:21:54,160 --> 00:21:56,879 Speaker 7: others who live in the Golden State, and while it 397 00:21:57,119 --> 00:22:00,000 Speaker 7: is gaining support, Brad Hamilton tells us there is all 398 00:22:00,040 --> 00:22:02,640 Speaker 7: already big money behind the opposition. 399 00:22:03,400 --> 00:22:03,640 Speaker 8: Oh. 400 00:22:03,800 --> 00:22:07,240 Speaker 2: In fact, if you look into that video shot by 401 00:22:07,240 --> 00:22:12,000 Speaker 2: our friend JJ out there showing the signature collectors who 402 00:22:12,040 --> 00:22:16,600 Speaker 2: were paying the homeless to forge signatures, one of the 403 00:22:16,600 --> 00:22:20,960 Speaker 2: initiatives that they were forging signatures for was a ballot 404 00:22:21,000 --> 00:22:23,960 Speaker 2: measure that would ban billionaire taxes. 405 00:22:24,560 --> 00:22:29,800 Speaker 8: Oh mind, inside of cal Berkeley's Social science building, the 406 00:22:29,920 --> 00:22:33,040 Speaker 8: keta one lock, just how realistic a ballot measure to 407 00:22:33,160 --> 00:22:38,080 Speaker 8: tax the ultra rich in California might just sit on 408 00:22:38,119 --> 00:22:41,080 Speaker 8: the desk of Professor Eric Schickler. There are still many 409 00:22:41,119 --> 00:22:44,320 Speaker 8: months to go before the midterm election, but Shickler has 410 00:22:44,359 --> 00:22:47,280 Speaker 8: his hands on a newly released campus poll, which he 411 00:22:47,440 --> 00:22:50,919 Speaker 8: says shows some positive signs for those in favor of 412 00:22:50,960 --> 00:22:53,680 Speaker 8: the proposed tax on billionaires. 413 00:22:53,880 --> 00:22:57,440 Speaker 9: About fifty two percent in favor, thirty one percent of posed, 414 00:22:57,840 --> 00:22:59,160 Speaker 9: and the rest undecided. 415 00:22:59,520 --> 00:22:59,920 Speaker 2: Oh boy. 416 00:23:01,920 --> 00:23:06,240 Speaker 1: So essentially, what we're learning is that in a state 417 00:23:06,280 --> 00:23:09,880 Speaker 1: that is heavily dominated by Democratic voters, soaking the rich 418 00:23:10,080 --> 00:23:10,960 Speaker 1: is still popular. 419 00:23:11,840 --> 00:23:15,760 Speaker 2: I'm telling you right now, I think support for this 420 00:23:15,920 --> 00:23:20,240 Speaker 2: ballot measure is growing because people keep seeing Tom Steyer 421 00:23:20,320 --> 00:23:23,800 Speaker 2: ads and they want to take his money away. Well, 422 00:23:23,880 --> 00:23:27,680 Speaker 2: who do these idiots think employs them. I don't think 423 00:23:27,720 --> 00:23:30,320 Speaker 2: they care. This is one of those you vote with 424 00:23:30,359 --> 00:23:34,920 Speaker 2: your emotions, not with your brain. If you think billionaires 425 00:23:34,920 --> 00:23:37,719 Speaker 2: are screwing you over, you're going to take their money. 426 00:23:39,240 --> 00:23:41,399 Speaker 9: A lot of voters have heard about this. About sixty 427 00:23:41,480 --> 00:23:44,280 Speaker 9: percent of our respondent had at least heard something about this, 428 00:23:44,359 --> 00:23:48,199 Speaker 9: which is pretty high for such an early point in 429 00:23:48,240 --> 00:23:49,359 Speaker 9: a potential campaign. 430 00:23:50,359 --> 00:23:53,720 Speaker 8: The initiative itself seems pretty simple, written on a whiteboard. 431 00:23:54,080 --> 00:23:54,480 Speaker 8: One time. 432 00:23:54,520 --> 00:23:56,680 Speaker 2: They want to take away so much of Elon's money 433 00:23:56,720 --> 00:23:59,040 Speaker 2: he won't be able to afford the microdos LSD. 434 00:24:01,880 --> 00:24:05,240 Speaker 8: The initiative itself seems pretty simple, written on a whiteboard, 435 00:24:05,480 --> 00:24:07,920 Speaker 8: A one time five percent tax on the net worth 436 00:24:07,960 --> 00:24:12,440 Speaker 8: of California billionaires to fund healthcare and social programs. 437 00:24:12,000 --> 00:24:15,560 Speaker 2: You know, specifically the ones that the SEIU gets paid for. 438 00:24:17,680 --> 00:24:20,520 Speaker 1: This is the SCIU trying to protect their members. This 439 00:24:20,600 --> 00:24:23,720 Speaker 1: buddy does not go to the California General Fund. This 440 00:24:24,080 --> 00:24:25,280 Speaker 1: is a cash grab. 441 00:24:25,720 --> 00:24:28,560 Speaker 2: But when you're talking about polling for that issue, do 442 00:24:28,600 --> 00:24:31,119 Speaker 2: you think the voters are educated about any of that 443 00:24:31,359 --> 00:24:34,720 Speaker 2: or they just here, Well, we got to text and billionaires. No. 444 00:24:34,880 --> 00:24:38,399 Speaker 1: I think it boils down to billionaires. Do you like 445 00:24:38,480 --> 00:24:41,560 Speaker 1: them or not, and if you are a Democrat, the 446 00:24:41,640 --> 00:24:45,440 Speaker 1: answer is going to be notch as simple as that 447 00:24:46,200 --> 00:24:49,000 Speaker 1: as a response to potential federal Medicaid cuts. 448 00:24:49,320 --> 00:24:52,800 Speaker 8: But Brandon Castillo, who helps strategize on behalf of initiatives, 449 00:24:53,080 --> 00:24:56,240 Speaker 8: explains why this one is fighting a big Bucks battle. 450 00:24:56,560 --> 00:24:58,600 Speaker 2: So what happens to be a big Bucks battle? There's 451 00:24:58,600 --> 00:25:00,000 Speaker 2: some alliteration for you. 452 00:25:01,119 --> 00:25:03,359 Speaker 10: So what happens is it becomes a competitive market up there, 453 00:25:03,560 --> 00:25:07,359 Speaker 10: and campaigns pay higher amounts per signature so they can 454 00:25:07,440 --> 00:25:09,520 Speaker 10: get priority, so they get what we call on top 455 00:25:09,520 --> 00:25:10,000 Speaker 10: of the stack. 456 00:25:10,080 --> 00:25:11,520 Speaker 2: So that you are And by the way, this is 457 00:25:11,560 --> 00:25:15,480 Speaker 2: exactly why you have these crooked signature gathering organizations paying 458 00:25:15,560 --> 00:25:19,200 Speaker 2: the homeless five dollars a signature because they're getting twenty 459 00:25:19,240 --> 00:25:24,560 Speaker 2: dollars a signature, so you make fifteen per signature, YEP, 460 00:25:25,240 --> 00:25:28,120 Speaker 2: one of the Honestly, I don't understand how paid signature 461 00:25:28,160 --> 00:25:33,000 Speaker 2: gathering is legal. It sounds crooked as hell and easily exploitable. 462 00:25:33,920 --> 00:25:36,800 Speaker 10: One of the first or second or third signatures that 463 00:25:36,880 --> 00:25:40,040 Speaker 10: the signature others appeal to because they're paying more per signature. 464 00:25:40,240 --> 00:25:43,040 Speaker 2: I mean, especially when you call these things citizens initiatives, 465 00:25:43,240 --> 00:25:46,639 Speaker 2: Then shouldn't all the signatures be gathered by volunteers. 466 00:25:48,480 --> 00:25:52,399 Speaker 1: Well, that's I think what the individuals who created the 467 00:25:52,440 --> 00:25:55,720 Speaker 1: tools of direct democracy in the state of California had 468 00:25:55,720 --> 00:25:59,240 Speaker 1: in mind. But back then the state was a lot smaller, 469 00:25:59,320 --> 00:26:02,159 Speaker 1: not geographic but in terms of population that. 470 00:26:02,280 --> 00:26:03,040 Speaker 2: It is now. 471 00:26:03,760 --> 00:26:07,160 Speaker 1: It is very, very very difficult to get a huge 472 00:26:07,240 --> 00:26:10,960 Speaker 1: number of signatures to qualify an initiative for a ballot 473 00:26:11,280 --> 00:26:15,280 Speaker 1: unless you pay, even for the most altruistic causes. 474 00:26:15,600 --> 00:26:16,399 Speaker 2: It's still hard. 475 00:26:17,160 --> 00:26:20,560 Speaker 8: Brandon says, they've already seen billionaires take on that exact 476 00:26:20,600 --> 00:26:23,560 Speaker 8: approach over the past few months, spending millions on at 477 00:26:23,640 --> 00:26:27,760 Speaker 8: least three counter initiatives, one being called the Transparency Act 478 00:26:27,800 --> 00:26:28,920 Speaker 8: of twenty twenty six. 479 00:26:29,160 --> 00:26:32,560 Speaker 2: And what the strategy here is is do exactly what 480 00:26:32,680 --> 00:26:36,720 Speaker 2: they did with the sports betting bills in twenty twenty two. 481 00:26:37,560 --> 00:26:40,040 Speaker 2: Put so many of them on the ballot that everyone 482 00:26:40,080 --> 00:26:46,240 Speaker 2: gets confused and they just vote them all down, which would. 483 00:26:46,080 --> 00:26:49,240 Speaker 8: Include a voter approved limit on all new special taxes, 484 00:26:49,520 --> 00:26:52,879 Speaker 8: which would effectively wipe out the billionaire tax. All of 485 00:26:52,920 --> 00:26:56,160 Speaker 8: these ballot measures competing to reach an estimated one point 486 00:26:56,240 --> 00:26:59,840 Speaker 8: four million certified signatures through daunting task. 487 00:27:00,240 --> 00:27:03,200 Speaker 2: Even certified meaning that it was someone who actually signed 488 00:27:03,200 --> 00:27:06,120 Speaker 2: it or certified, meaning it was a homeless person forging 489 00:27:06,160 --> 00:27:08,680 Speaker 2: the signature, probably. 490 00:27:08,800 --> 00:27:14,240 Speaker 10: Pretty daunting task. Even the most well connected grassroots organizations 491 00:27:14,240 --> 00:27:18,000 Speaker 10: have a really hard time collecting signatures by volunteer basis. 492 00:27:18,040 --> 00:27:21,240 Speaker 8: The discussion is early, but it is there, and Schickler 493 00:27:21,280 --> 00:27:23,680 Speaker 8: told us that that could create a conundrum of sorts 494 00:27:23,880 --> 00:27:27,480 Speaker 8: for the crowded governor's race, especially ahead of the primary. 495 00:27:28,640 --> 00:27:32,200 Speaker 9: Risks alienating a lot of voters who they need to 496 00:27:32,600 --> 00:27:36,200 Speaker 9: win to make the top two. On the other hand, 497 00:27:37,320 --> 00:27:40,720 Speaker 9: clearly this is not very popular with extremely wealthy individuals 498 00:27:40,760 --> 00:27:42,119 Speaker 9: who help fund campaigns. 499 00:27:42,200 --> 00:27:44,679 Speaker 8: For now, it's all about the push to qualify for 500 00:27:44,760 --> 00:27:47,760 Speaker 8: the ballot, But this political expert told us he doesn't 501 00:27:47,800 --> 00:27:49,840 Speaker 8: need a poll to know that this could be an 502 00:27:49,920 --> 00:27:51,359 Speaker 8: interesting story to follow. 503 00:27:52,880 --> 00:27:56,119 Speaker 7: Supporters have until June twenty fourth to gather enough signatures 504 00:27:56,119 --> 00:27:58,480 Speaker 7: for the measure to make it on the ballot. The 505 00:27:58,560 --> 00:28:02,520 Speaker 7: state's non partisan Legislative Analyst Office projected the tax could 506 00:28:02,560 --> 00:28:06,600 Speaker 7: generate tens of billions of dollars beginning in twenty twenty seven, 507 00:28:07,040 --> 00:28:09,480 Speaker 7: but it also warned that some billionaires could leave the 508 00:28:09,520 --> 00:28:12,080 Speaker 7: state as a result, and in turn that could mean 509 00:28:12,119 --> 00:28:13,880 Speaker 7: a loss of state income taxes. 510 00:28:14,240 --> 00:28:17,120 Speaker 2: What this actually is is you're robbing money that would 511 00:28:17,119 --> 00:28:19,200 Speaker 2: be in the general fund to put it in the 512 00:28:19,240 --> 00:28:24,080 Speaker 2: seius pockets. And you're deciding right now if California is 513 00:28:24,080 --> 00:28:26,600 Speaker 2: going to be the home to AI or you're going 514 00:28:26,680 --> 00:28:29,960 Speaker 2: to send it to Austin. Because if this thing passes, 515 00:28:30,119 --> 00:28:36,160 Speaker 2: guess what. AI could move to Texas. It could move 516 00:28:36,240 --> 00:28:38,520 Speaker 2: to Florida, it could move to Tennessee. 517 00:28:39,000 --> 00:28:42,360 Speaker 1: It could move to someplace else, just like Hollywood did, 518 00:28:43,040 --> 00:28:45,080 Speaker 1: and just like the oil industry has. 519 00:28:46,240 --> 00:28:48,760 Speaker 7: There are reports that Sergey Brynn and Larry Page have 520 00:28:48,800 --> 00:28:52,120 Speaker 7: already moved some of their businesses out of California. 521 00:28:52,240 --> 00:28:55,680 Speaker 2: There you go. That's the latest pulling on the proposed 522 00:28:55,760 --> 00:28:58,520 Speaker 2: billionaire tax. It's not yet made the ballot, but if 523 00:28:58,520 --> 00:29:01,640 Speaker 2: it did make the ballot, according to this poll, it 524 00:29:01,680 --> 00:29:05,680 Speaker 2: would pass eight hundred two two two five two two two. 525 00:29:06,280 --> 00:29:09,800 Speaker 2: What eight hundred two two two five two two two. 526 00:29:10,160 --> 00:29:13,240 Speaker 2: One of the things that frustrates me like no other 527 00:29:13,840 --> 00:29:17,000 Speaker 2: is when I have a problem with some company and 528 00:29:17,040 --> 00:29:20,800 Speaker 2: I need to fix it, and I get stuck in 529 00:29:20,920 --> 00:29:23,920 Speaker 2: AI hell. When I call RES. 530 00:29:25,000 --> 00:29:28,120 Speaker 1: When I call RES, I hope to speak to some 531 00:29:28,240 --> 00:29:32,000 Speaker 1: four hundred pound person with a headset on. I don't 532 00:29:32,040 --> 00:29:34,600 Speaker 1: want to talk to a computer. I don't want to 533 00:29:34,640 --> 00:29:37,800 Speaker 1: talk to Bobby and Bangladesh. I don't want to talk 534 00:29:37,840 --> 00:29:40,240 Speaker 1: to some foreign call center. I want to talk to 535 00:29:40,320 --> 00:29:43,440 Speaker 1: someone right here in the United States who can fix 536 00:29:43,480 --> 00:29:48,000 Speaker 1: my problem. But more often than not, when I call RES, 537 00:29:48,680 --> 00:29:51,560 Speaker 1: I get a foreign call center, or I get AI. 538 00:29:52,880 --> 00:29:55,200 Speaker 1: And now Randy, it looks like we're going to get 539 00:29:55,240 --> 00:29:59,600 Speaker 1: AI not just when we call companies to resolve a dispute, 540 00:30:00,120 --> 00:30:03,000 Speaker 1: but when we're calling to resolve a dispute that's going 541 00:30:03,040 --> 00:30:05,400 Speaker 1: on right here at home in our community. 542 00:30:05,800 --> 00:30:12,120 Speaker 2: The city of Antioch is considering implementing AI to take 543 00:30:12,160 --> 00:30:18,280 Speaker 2: over non emergency calls to the Antioch Police Department. What 544 00:30:18,400 --> 00:30:21,560 Speaker 2: could go wrong? For more on this, we go to 545 00:30:21,880 --> 00:30:24,600 Speaker 2: KPIX in the Bay So tonight. 546 00:30:24,680 --> 00:30:28,880 Speaker 11: The Antioch Police Department wants chatbots instead of people to 547 00:30:29,000 --> 00:30:31,200 Speaker 11: answer non emergency calls. 548 00:30:31,960 --> 00:30:34,760 Speaker 2: That's because you know how most of those conversations are 549 00:30:34,760 --> 00:30:37,800 Speaker 2: going to go, Hello, how can I help you today? 550 00:30:38,200 --> 00:30:42,480 Speaker 2: Talk to human? Well, you have to press one for 551 00:30:42,560 --> 00:30:43,320 Speaker 2: English first. 552 00:30:43,720 --> 00:30:47,080 Speaker 11: That's because they say the humans are too busy with 553 00:30:47,120 --> 00:30:50,360 Speaker 11: the emergency nine to one to one phones. Keroseint Syr 554 00:30:50,360 --> 00:31:00,640 Speaker 11: has that story emergency services dispatch your one on Where's 555 00:31:00,680 --> 00:31:01,360 Speaker 11: your emergency? 556 00:31:01,760 --> 00:31:04,760 Speaker 12: This AI system could be the liaison between you and 557 00:31:04,880 --> 00:31:08,360 Speaker 12: the Antioch Police Department. APD is asking the city Council 558 00:31:08,400 --> 00:31:12,200 Speaker 12: for permission to incorporate prepared an AI system into their 559 00:31:12,240 --> 00:31:13,680 Speaker 12: non emergency phone line. 560 00:31:13,800 --> 00:31:16,280 Speaker 13: We're non emergency and business calls. We're seeing over two 561 00:31:16,400 --> 00:31:20,800 Speaker 13: hundred thousand calls and we operate a center of We're 562 00:31:20,840 --> 00:31:24,520 Speaker 13: supposed to have sixteen dispatcher positions, but we've had about 563 00:31:24,520 --> 00:31:26,960 Speaker 13: a twenty five percent vacancy rate. 564 00:31:27,320 --> 00:31:29,520 Speaker 2: We can't hire these people, and that's why we need 565 00:31:29,560 --> 00:31:33,400 Speaker 2: the robots. Okay, here's what's going to happen. People are 566 00:31:33,400 --> 00:31:35,440 Speaker 2: going to get frustrated with this and they're going to 567 00:31:35,520 --> 00:31:38,239 Speaker 2: hang up and the police Department's not going to get 568 00:31:38,240 --> 00:31:42,720 Speaker 2: their information. So, for example, you have one of those 569 00:31:43,040 --> 00:31:47,240 Speaker 2: alerts where you're looking out for a specific license plate, 570 00:31:47,320 --> 00:31:50,000 Speaker 2: you're looking for a specific type of car because there's 571 00:31:50,040 --> 00:31:53,600 Speaker 2: a missing child. I've never been in this position, but 572 00:31:53,720 --> 00:31:56,400 Speaker 2: clearly there have people. There are people out there who 573 00:31:56,440 --> 00:31:58,959 Speaker 2: have been. Where you see the car, you see the 574 00:31:58,960 --> 00:32:02,560 Speaker 2: license plate, it's not an emergency. Someone's not having a 575 00:32:02,560 --> 00:32:05,120 Speaker 2: heart attack, there's not a building on fire. You just 576 00:32:05,160 --> 00:32:08,680 Speaker 2: need to communicate that information with the police, So you 577 00:32:08,680 --> 00:32:12,480 Speaker 2: would call the non emergency line. Well, if you get 578 00:32:12,520 --> 00:32:15,560 Speaker 2: AI and you get stuck in that tree, I don't 579 00:32:15,600 --> 00:32:18,240 Speaker 2: have time for that, which means I'm just going to 580 00:32:18,320 --> 00:32:20,560 Speaker 2: hang up and not tell them the information I have. 581 00:32:22,200 --> 00:32:24,080 Speaker 2: And I bet you there's a lot of people out 582 00:32:24,080 --> 00:32:27,280 Speaker 2: there who are like that, because it takes forever to 583 00:32:27,320 --> 00:32:30,240 Speaker 2: get to a life human and the moment I find 584 00:32:30,280 --> 00:32:32,280 Speaker 2: out that I'm going to have to deal with a 585 00:32:32,400 --> 00:32:36,800 Speaker 2: robot unless it's something that's really deeply important to me, 586 00:32:37,800 --> 00:32:41,480 Speaker 2: as in yours, truly, I move on with my day 587 00:32:42,200 --> 00:32:43,800 Speaker 2: because I don't have that kind of time. 588 00:32:45,000 --> 00:32:47,920 Speaker 12: Lieutenant Mike Maloney with the Department says the bot would 589 00:32:47,960 --> 00:32:50,600 Speaker 12: basically do the same job as a human dispatcher for 590 00:32:50,680 --> 00:32:54,560 Speaker 12: non emergency calls. It would listen, transcribe, and reroute the 591 00:32:54,600 --> 00:32:55,800 Speaker 12: caller to the right person. 592 00:32:56,080 --> 00:32:59,760 Speaker 13: When somebody calls our a non emergency line. If our 593 00:33:00,040 --> 00:33:02,080 Speaker 13: if our call takers are handling nine on one calls, 594 00:33:02,080 --> 00:33:04,040 Speaker 13: those folks are going to wait on hold, sometimes for 595 00:33:04,120 --> 00:33:04,840 Speaker 13: several minutes. 596 00:33:05,560 --> 00:33:07,080 Speaker 2: This all right, What do you want to do, Johnny? 597 00:33:07,120 --> 00:33:08,880 Speaker 2: You want to wait on hold or deal with the 598 00:33:08,920 --> 00:33:10,000 Speaker 2: phone tree? 599 00:33:10,000 --> 00:33:11,960 Speaker 1: Have you ever dealt with the phone tree that made 600 00:33:12,040 --> 00:33:13,480 Speaker 1: life easier for you. 601 00:33:13,520 --> 00:33:16,560 Speaker 2: No, this system alike. Every single time I have to 602 00:33:16,560 --> 00:33:21,800 Speaker 2: call American Airlines to change my reservation because I booked 603 00:33:21,800 --> 00:33:23,720 Speaker 2: it on Alaska and they won't let me put in 604 00:33:23,800 --> 00:33:26,280 Speaker 2: my advantage numbers, so I can't go to the Admirals Club, 605 00:33:26,320 --> 00:33:29,640 Speaker 2: so I have to call them. It takes me five 606 00:33:29,800 --> 00:33:31,880 Speaker 2: minutes just to get to the point of the phone 607 00:33:31,920 --> 00:33:34,720 Speaker 2: tree where they'll transfer me to somebody, and then when 608 00:33:34,720 --> 00:33:37,920 Speaker 2: the person picks up, it takes them thirty seconds to 609 00:33:37,960 --> 00:33:40,560 Speaker 2: fix the problem. Bingo. 610 00:33:41,360 --> 00:33:44,400 Speaker 13: This system allows the person to speak in whatever language 611 00:33:44,400 --> 00:33:46,600 Speaker 13: they're comfortable with about the reason for their call. 612 00:33:46,760 --> 00:33:49,440 Speaker 12: Maloney says. The bot is programmed to listen for background 613 00:33:49,520 --> 00:33:52,760 Speaker 12: noise and buzzwords like gun or knife to determine if 614 00:33:52,760 --> 00:33:54,400 Speaker 12: a human dispatcher is needed. 615 00:33:54,640 --> 00:33:56,080 Speaker 2: Okay, so if you want to get out of the 616 00:33:56,120 --> 00:33:58,840 Speaker 2: phone tree, just tell the robot you're being stabbed. 617 00:34:01,000 --> 00:34:03,200 Speaker 1: Okay, But what happens if it picks up a word 618 00:34:03,240 --> 00:34:06,400 Speaker 1: that's not gone. Let's say you say fun and the 619 00:34:06,400 --> 00:34:09,239 Speaker 1: machine picks it up as gun. They're going to send 620 00:34:09,239 --> 00:34:11,960 Speaker 1: the SWAT team over at your house to. 621 00:34:12,000 --> 00:34:14,240 Speaker 12: Determine if a human dispatcher is needed. 622 00:34:14,320 --> 00:34:16,600 Speaker 13: If the person called in to report a vehicle break 623 00:34:16,600 --> 00:34:19,440 Speaker 13: in and all of a sudden the suspect comes back, 624 00:34:19,560 --> 00:34:21,759 Speaker 13: the system has the intelligence to know that that call 625 00:34:21,800 --> 00:34:23,920 Speaker 13: immediately needs to get escalated to a human. 626 00:34:25,800 --> 00:34:28,440 Speaker 12: But the idea of AI working with the police is 627 00:34:28,600 --> 00:34:32,320 Speaker 12: new to community members. So if you hear the Erica Foster, 628 00:34:32,520 --> 00:34:36,080 Speaker 12: owner of four Seasonings in Antioch, has some questions. 629 00:34:35,840 --> 00:34:39,320 Speaker 14: Is it going to be you know, TESTI for languages 630 00:34:39,360 --> 00:34:42,279 Speaker 14: and different accents and the timing. How fast is it 631 00:34:42,320 --> 00:34:43,160 Speaker 14: going to transfer? 632 00:34:45,320 --> 00:34:48,640 Speaker 2: What accents are we talking about? I don't know. 633 00:34:49,400 --> 00:34:55,239 Speaker 12: For Melissa Galvan also wondering if AI is necessary, I. 634 00:34:55,239 --> 00:34:58,520 Speaker 14: Wish we would fill a positions with the community members here, 635 00:34:59,000 --> 00:35:01,320 Speaker 14: you know, before entering into AI. 636 00:35:01,880 --> 00:35:03,800 Speaker 2: And we're not talking about the nine to one to 637 00:35:03,840 --> 00:35:06,680 Speaker 2: one dispatchers where it's really hard to hire them because 638 00:35:06,719 --> 00:35:09,760 Speaker 2: the standards are so high. The training goes for about 639 00:35:09,760 --> 00:35:12,399 Speaker 2: a year and then people get burnt out immediately. It's 640 00:35:12,400 --> 00:35:14,600 Speaker 2: why we've seen shortages up and down the state in 641 00:35:14,640 --> 00:35:17,719 Speaker 2: places like Oakland, places like antiog But I don't think 642 00:35:17,760 --> 00:35:19,640 Speaker 2: you go through that kind of training for the non 643 00:35:19,640 --> 00:35:20,840 Speaker 2: emergency line. 644 00:35:21,920 --> 00:35:23,560 Speaker 1: Did I ever tell you I have a friend who 645 00:35:23,600 --> 00:35:26,040 Speaker 1: is one of the George Floyd nine one one operators. 646 00:35:26,480 --> 00:35:30,680 Speaker 1: Oh really, the guy's nerves are shot. People have been 647 00:35:30,719 --> 00:35:34,839 Speaker 1: so abusive to him. He could drink both of us 648 00:35:34,960 --> 00:35:37,600 Speaker 1: under the table. That's a lot of drinking. 649 00:35:37,920 --> 00:35:40,720 Speaker 14: And just be nice because there are people with free jobs. 650 00:35:40,880 --> 00:35:43,359 Speaker 12: Maloney's answer to both questions. 651 00:35:43,160 --> 00:35:45,520 Speaker 13: Is yes, at every step of the way, there's a 652 00:35:45,600 --> 00:35:49,680 Speaker 13: human involved, whether it's emergency or non emergency. Emergencies always 653 00:35:49,719 --> 00:35:50,760 Speaker 13: go to a live person. 654 00:35:50,960 --> 00:35:53,920 Speaker 12: So far, the program is being used in Richmond, Alameda, 655 00:35:53,960 --> 00:35:58,520 Speaker 12: and San Diego, among other places, which Erica Melissa say 656 00:35:58,560 --> 00:36:01,080 Speaker 12: they're okay with as long as it's being monitored. 657 00:36:01,320 --> 00:36:04,040 Speaker 14: Just really making sure that the bias is not programmed 658 00:36:04,080 --> 00:36:06,799 Speaker 14: in so that it responds correctly to your location, to 659 00:36:06,880 --> 00:36:09,200 Speaker 14: your language, to your Maybe. 660 00:36:09,080 --> 00:36:11,840 Speaker 1: It's the second time she said that, and she's clearly 661 00:36:11,880 --> 00:36:15,160 Speaker 1: an English speaker. I can understand every word she's saying. 662 00:36:16,760 --> 00:36:19,800 Speaker 12: If the program is approved by the city council, Maloney 663 00:36:19,840 --> 00:36:22,200 Speaker 12: says it would be a matter of weeks before it's 664 00:36:22,239 --> 00:36:24,680 Speaker 12: prepared and online. 665 00:36:24,840 --> 00:36:27,600 Speaker 11: The Boys Department will bring the proposal to the city 666 00:36:27,640 --> 00:36:31,040 Speaker 11: Council on Tuesday to see if they'll approve it. 667 00:36:32,080 --> 00:36:34,000 Speaker 2: How abusive do you think people are going to be 668 00:36:34,040 --> 00:36:39,239 Speaker 2: to the robot, oh, more abusive than they are to 669 00:36:39,280 --> 00:36:45,560 Speaker 2: the humans. I had to call Alaska Airlines this week 670 00:36:46,800 --> 00:36:50,080 Speaker 2: because there was a flight that I took late last 671 00:36:50,160 --> 00:36:53,600 Speaker 2: year and for whatever reason, my utmost number wasn't on 672 00:36:53,640 --> 00:36:56,279 Speaker 2: the ticket, so I didn't get any credit for it, 673 00:36:56,280 --> 00:37:00,600 Speaker 2: didn't get the miles. So I called them to get 674 00:37:00,600 --> 00:37:04,799 Speaker 2: that fixed. And it was one of the days when 675 00:37:04,840 --> 00:37:07,399 Speaker 2: there was weather on the East Coast, and I think 676 00:37:07,440 --> 00:37:11,000 Speaker 2: it was right after the hurricane in Hawaii, and Alaska 677 00:37:11,000 --> 00:37:14,280 Speaker 2: Airlines has a big presence in Hawaii, so I assume 678 00:37:14,320 --> 00:37:17,120 Speaker 2: their planes were stuck there and flights got delayed and 679 00:37:17,160 --> 00:37:20,319 Speaker 2: canceled all over the place. And I was talking to 680 00:37:20,400 --> 00:37:24,719 Speaker 2: the guy and it was a very simple fix, but 681 00:37:24,760 --> 00:37:26,640 Speaker 2: the call just went on and on and on and on, 682 00:37:26,680 --> 00:37:29,520 Speaker 2: and he was very pleasant. He was asking me about 683 00:37:30,719 --> 00:37:33,640 Speaker 2: life in California and what the weather is like here, 684 00:37:33,840 --> 00:37:36,640 Speaker 2: and you know, those sorts of things information that had 685 00:37:36,680 --> 00:37:40,000 Speaker 2: nothing to do with anything related to my call. 686 00:37:40,680 --> 00:37:44,279 Speaker 1: And then I realized, oh, it's a day when there's 687 00:37:44,400 --> 00:37:48,839 Speaker 1: weather and lots of cancelations. He's getting screamed at every 688 00:37:48,840 --> 00:37:52,480 Speaker 1: time he picks up the phone. And one call is 689 00:37:52,520 --> 00:37:56,920 Speaker 1: more abusive than the next and with my call, he 690 00:37:57,040 --> 00:37:58,200 Speaker 1: has an easy fix. 691 00:37:58,239 --> 00:37:58,880 Speaker 2: So I'm going to. 692 00:37:59,680 --> 00:38:02,600 Speaker 1: Leave happy because my problem is going to be resolved. 693 00:38:03,320 --> 00:38:06,600 Speaker 1: I'm perfectly polite to him, and so he just kept 694 00:38:06,640 --> 00:38:08,520 Speaker 1: me on the phone as long as possible because it 695 00:38:08,560 --> 00:38:11,600 Speaker 1: was near quitting time when the call center was shutting down, 696 00:38:11,960 --> 00:38:13,719 Speaker 1: and he wanted to run out the clock with the 697 00:38:13,719 --> 00:38:18,120 Speaker 1: polite person so he didn't have to deal with the screamers. 698 00:38:19,600 --> 00:38:21,600 Speaker 2: It's going to be quite a life operating in a 699 00:38:21,600 --> 00:38:26,920 Speaker 2: call center. Oh could you imagine, because nobody calls you 700 00:38:26,960 --> 00:38:27,920 Speaker 2: with anything good? 701 00:38:28,560 --> 00:38:33,000 Speaker 1: No, And you know what was funny. Remember Elmentcho, who 702 00:38:33,040 --> 00:38:35,799 Speaker 1: was the cartel leader that just got arrested. Oh, yeah, 703 00:38:35,800 --> 00:38:37,920 Speaker 1: we're killed. Was he killed or arrested? I know he 704 00:38:37,960 --> 00:38:41,360 Speaker 1: was killed, Okay, so he was killed. One of the 705 00:38:41,400 --> 00:38:44,360 Speaker 1: things that the cartel was doing down there. His cartel 706 00:38:45,120 --> 00:38:48,799 Speaker 1: was they had call centers where they were scamming American 707 00:38:48,920 --> 00:38:57,239 Speaker 1: seniors out of what was it vacation rentals? Oh yeah, 708 00:38:57,280 --> 00:39:00,840 Speaker 1: that was a huge part of the cartel's business, time shares. 709 00:39:03,520 --> 00:39:07,160 Speaker 1: And he had buildings in Mexico that were filled with 710 00:39:07,200 --> 00:39:10,840 Speaker 1: people with headsets on scamming American zeniors. 711 00:39:12,360 --> 00:39:13,120 Speaker 2: What are you going to do?