1 00:00:00,600 --> 00:00:02,640 Speaker 1: Can't if I am six forty. You're listening to the 2 00:00:02,720 --> 00:00:05,520 Speaker 1: John and Ken Show on demand on the iHeartRadio app. 3 00:00:08,920 --> 00:00:10,719 Speaker 1: We're on the radio from one until four, and then 4 00:00:10,760 --> 00:00:13,239 Speaker 1: after four o'clock you could hear the show whatever you 5 00:00:13,320 --> 00:00:15,880 Speaker 1: missed on the iHeart app. It's called the John and 6 00:00:15,960 --> 00:00:20,239 Speaker 1: Ken on Demand podcast, and we have lots of stuff 7 00:00:20,280 --> 00:00:23,160 Speaker 1: and good stuff. Well wait, is this our last show? 8 00:00:23,160 --> 00:00:25,480 Speaker 1: Are we done? Why the strike? 9 00:00:26,120 --> 00:00:28,680 Speaker 2: We're not striking at midnight with SAG after that's our union. 10 00:00:29,200 --> 00:00:32,640 Speaker 1: Uh, we're in the we're in the broadcast division, but 11 00:00:32,720 --> 00:00:33,560 Speaker 1: we're part of the union. 12 00:00:33,880 --> 00:00:35,640 Speaker 2: We have to walk in sympathy. Do it not for 13 00:00:35,720 --> 00:00:36,680 Speaker 2: the writers and the actor? 14 00:00:36,800 --> 00:00:36,879 Speaker 3: No? 15 00:00:37,120 --> 00:00:40,720 Speaker 2: I called and asked, well, you better call again. I 16 00:00:40,760 --> 00:00:41,800 Speaker 2: think they've made a change. 17 00:00:41,800 --> 00:00:46,680 Speaker 1: Ebrason strike for my voice over work. Yeah, it's gonna say. 18 00:00:46,680 --> 00:00:47,280 Speaker 1: Who had noticed? 19 00:00:47,440 --> 00:00:47,760 Speaker 2: Suck? 20 00:00:48,120 --> 00:00:52,960 Speaker 1: Can you're starting? She was in the hallway shouting no justice, 21 00:00:52,960 --> 00:00:55,800 Speaker 1: no peace? Yeah I was. I was picketing. Yeah wow, 22 00:00:56,120 --> 00:00:58,920 Speaker 1: No one noticed that she was picketing all the empty offices. 23 00:00:59,000 --> 00:01:00,720 Speaker 1: Yeah that's why no one noticed. 24 00:01:01,560 --> 00:01:03,720 Speaker 2: Well, hey, you guys are right there at ground zero. 25 00:01:03,880 --> 00:01:06,119 Speaker 2: You got the studios nearby, all right, Warner Brothers and stuff. 26 00:01:06,160 --> 00:01:09,440 Speaker 1: You should Yeah, drove down Olive Avenue a few days ago, 27 00:01:09,480 --> 00:01:11,679 Speaker 1: and it was Disney's down there too. There was a 28 00:01:11,920 --> 00:01:15,240 Speaker 1: massive picket line in front of Warner Brothers down down 29 00:01:15,280 --> 00:01:18,440 Speaker 1: the road. All right, well, we'll talk about that later. 30 00:01:18,480 --> 00:01:22,440 Speaker 2: But of course the big news is everything reversed when 31 00:01:22,440 --> 00:01:25,360 Speaker 2: it comes to that bill in Sacramento, Senate Bill fourteen 32 00:01:25,880 --> 00:01:28,399 Speaker 2: to make child trafficking a. 33 00:01:28,480 --> 00:01:31,360 Speaker 1: Serious felony in California. 34 00:01:31,840 --> 00:01:33,840 Speaker 2: When this happened the other day, and of course we 35 00:01:33,920 --> 00:01:36,759 Speaker 2: had a cascade of response, said a lot of other people, 36 00:01:37,200 --> 00:01:41,199 Speaker 2: and suddenly the Democrats have changed their tune. The States 37 00:01:41,200 --> 00:01:44,800 Speaker 2: Assembly Public Safety Committee, which only got two votes for 38 00:01:44,880 --> 00:01:49,120 Speaker 2: the bill and six Democrats abstaining, changed their minds quickly, 39 00:01:49,440 --> 00:01:52,120 Speaker 2: but with less than twenty four hours or so, and 40 00:01:52,360 --> 00:01:55,040 Speaker 2: they passed at six nothing. Two Democrats didn't vote. But 41 00:01:55,080 --> 00:01:58,560 Speaker 2: now it's through the Public Safety Committee. What was the 42 00:01:58,600 --> 00:02:00,400 Speaker 2: onslaught like that? 43 00:02:00,520 --> 00:02:03,760 Speaker 1: These Democrats switch sides on a bill that's going to 44 00:02:03,840 --> 00:02:10,000 Speaker 1: put these child trafficking perverts in prison longer. This is 45 00:02:10,000 --> 00:02:13,679 Speaker 1: the first time this has happened in years. So they 46 00:02:13,800 --> 00:02:17,040 Speaker 1: usually just fold their arms and say, tough luck. We 47 00:02:17,080 --> 00:02:19,240 Speaker 1: don't believe in any more prison time or any new 48 00:02:19,280 --> 00:02:23,440 Speaker 1: prison sentence time. This is quite shocking. We are going 49 00:02:23,520 --> 00:02:27,240 Speaker 1: to talk with We've got Tom Wackey. Hey, he's on 50 00:02:27,280 --> 00:02:29,440 Speaker 1: the Public Safety Committee. He's on the Public Safty Comtee's 51 00:02:29,400 --> 00:02:32,640 Speaker 1: one of the Republicans. He's consistently voted to put these 52 00:02:32,720 --> 00:02:35,760 Speaker 1: sex trafficking perverts away in prison for a long time. 53 00:02:35,840 --> 00:02:36,920 Speaker 1: Let's get Tom on the show. 54 00:02:38,760 --> 00:02:39,840 Speaker 4: Hey, it's good to be here. 55 00:02:39,960 --> 00:02:43,919 Speaker 1: Hey, yeah, Well how about that reversal? Huh. 56 00:02:43,960 --> 00:02:46,720 Speaker 4: Well, the cries of decency have broken through the barriers 57 00:02:46,760 --> 00:02:51,320 Speaker 4: of our routine process for a change, and it's very 58 00:02:51,360 --> 00:02:53,280 Speaker 4: refreshing and it's part of history today. 59 00:02:54,000 --> 00:02:57,800 Speaker 1: What where is it now? This bill? 60 00:02:58,040 --> 00:03:00,080 Speaker 4: Let me just tell you that it was quite a 61 00:03:00,080 --> 00:03:04,680 Speaker 4: angle this morning. Republicans announced yesterday that we're going to 62 00:03:04,720 --> 00:03:06,560 Speaker 4: be wharping, which means we're going to cut through the 63 00:03:06,720 --> 00:03:10,960 Speaker 4: garbage and bring it to a vote to the entire body. 64 00:03:11,280 --> 00:03:14,919 Speaker 4: But that got blocked, and instead of approving that motion, 65 00:03:15,080 --> 00:03:17,680 Speaker 4: the Democrats brought forward their own motion to hold an 66 00:03:17,720 --> 00:03:21,200 Speaker 4: emergency public safety hearing, which puts it in a whole 67 00:03:21,200 --> 00:03:23,920 Speaker 4: different pathway, which is very uncertain, and that's why we 68 00:03:24,000 --> 00:03:29,120 Speaker 4: tried to cut through it. But nonetheless their measure passed 69 00:03:29,360 --> 00:03:32,639 Speaker 4: and we had the meeting, as you have outlined already, 70 00:03:33,760 --> 00:03:36,760 Speaker 4: it passed public Safety, and we just had two of 71 00:03:36,760 --> 00:03:39,600 Speaker 4: the members that still didn't have the courage to support 72 00:03:39,640 --> 00:03:43,360 Speaker 4: what was right. But nonetheless, now it goes to Appropriations 73 00:03:43,360 --> 00:03:47,000 Speaker 4: Committee and hopefully it's sailed through there and then we'll 74 00:03:47,040 --> 00:03:48,560 Speaker 4: come to the floor and I think we'll have no 75 00:03:48,600 --> 00:03:49,440 Speaker 4: problem getting through. 76 00:03:49,520 --> 00:03:52,640 Speaker 2: Who was Yeah, there's a report here that eighteen co 77 00:03:52,720 --> 00:03:54,960 Speaker 2: authors have been picked up in the Assembly on the bill, 78 00:03:55,000 --> 00:03:57,200 Speaker 2: and most of them are Democrats, which tells you probably 79 00:03:57,200 --> 00:03:58,000 Speaker 2: how they're going to vote. 80 00:03:58,080 --> 00:04:00,760 Speaker 1: So sounds like it's a winner. Tom. 81 00:04:00,840 --> 00:04:04,080 Speaker 4: That tells you that the christ for decency have actually 82 00:04:04,160 --> 00:04:08,480 Speaker 4: penetrated the hearts of the difficult I'll just say. 83 00:04:08,320 --> 00:04:12,400 Speaker 1: That, why since there were so many Democrats who were 84 00:04:12,400 --> 00:04:16,720 Speaker 1: supporting this bill, co sponsored the bill, why couldn't they 85 00:04:16,760 --> 00:04:22,360 Speaker 1: get through to these six committee members who were blocking things. 86 00:04:22,440 --> 00:04:25,719 Speaker 1: I've never seen this before where you had all the 87 00:04:25,760 --> 00:04:27,640 Speaker 1: opposition just on the committee. 88 00:04:28,480 --> 00:04:31,960 Speaker 4: No, it's the power of politics in the moment, and 89 00:04:32,480 --> 00:04:37,040 Speaker 4: it's shameful. It's really shameful and embarrassing to me that 90 00:04:37,600 --> 00:04:41,080 Speaker 4: this has been such a difficult battle to do something 91 00:04:41,200 --> 00:04:45,719 Speaker 4: so decent that it had bipartisan support in the other chamber. 92 00:04:46,240 --> 00:04:48,599 Speaker 4: I mean completely, it didn't get opposed, and then it 93 00:04:48,640 --> 00:04:51,760 Speaker 4: comes to our chamber and we have this difficult path 94 00:04:51,839 --> 00:04:55,159 Speaker 4: and I'm embarrassed by it, but I'm thankful we're finally 95 00:04:55,520 --> 00:04:57,280 Speaker 4: we reversed course and we're on the right path. 96 00:04:57,440 --> 00:04:57,720 Speaker 3: All right. 97 00:04:57,720 --> 00:05:00,239 Speaker 1: So what part did Newsome play in this? Do you think? 98 00:05:02,040 --> 00:05:05,280 Speaker 4: Oh, he wasn't silent. He definitely weighed in on this 99 00:05:05,400 --> 00:05:09,080 Speaker 4: measure pretty powerfully, and I think he was a big 100 00:05:09,120 --> 00:05:13,760 Speaker 4: part of the success that we're at least hopefully going 101 00:05:13,800 --> 00:05:14,279 Speaker 4: to enjoy. 102 00:05:15,320 --> 00:05:19,240 Speaker 1: And he called up Shannon Grove, who's your colleague, the 103 00:05:19,279 --> 00:05:23,400 Speaker 1: Republican state senator who wrote the bill and got it 104 00:05:23,440 --> 00:05:25,760 Speaker 1: passed in the Senate. He called her up directly. 105 00:05:27,080 --> 00:05:32,400 Speaker 4: Yes he did, And I can't explain that completely, but 106 00:05:32,480 --> 00:05:34,680 Speaker 4: I have my own personal feelings, but it's not important. 107 00:05:35,120 --> 00:05:38,040 Speaker 4: I think what's really important is that it's moving in 108 00:05:38,080 --> 00:05:39,960 Speaker 4: the right direction. Very very thankful for that. And there 109 00:05:40,000 --> 00:05:41,400 Speaker 4: is something I wanted to bring out to you that 110 00:05:41,440 --> 00:05:45,680 Speaker 4: happened today that was very, very disheartening and inappropriate. We 111 00:05:45,720 --> 00:05:49,360 Speaker 4: had an assembly member named Joe Patterson that actually was 112 00:05:49,440 --> 00:05:52,560 Speaker 4: introducing a pregnancy health center group that had traveled all 113 00:05:52,600 --> 00:05:57,400 Speaker 4: the way up here to be in the chambers during 114 00:05:57,400 --> 00:06:01,120 Speaker 4: this historical day. And because they are from a pregnancy 115 00:06:01,160 --> 00:06:06,400 Speaker 4: health center, the speaker cut uh the assembly members mike, 116 00:06:07,040 --> 00:06:11,400 Speaker 4: so he couldn't identify them. And it was super embarrassing, 117 00:06:11,560 --> 00:06:15,720 Speaker 4: super rude and inappropriate. And we're we're still going to 118 00:06:15,760 --> 00:06:17,920 Speaker 4: follow up on that. But I thought you might find 119 00:06:17,960 --> 00:06:21,240 Speaker 4: that interesting. I've never seen that happen in my my 120 00:06:21,480 --> 00:06:26,440 Speaker 4: eight plus years here. Yeah, well, partnering and it's it's 121 00:06:26,480 --> 00:06:27,240 Speaker 4: not appropriate. 122 00:06:27,400 --> 00:06:29,560 Speaker 2: Yeah, now you are you pretty much done with business 123 00:06:29,600 --> 00:06:30,440 Speaker 2: today for a while? 124 00:06:31,800 --> 00:06:35,960 Speaker 4: Yeah, for four weeks, so so there'll be no toxic 125 00:06:36,120 --> 00:06:38,080 Speaker 4: bills passed in the next four weeks. 126 00:06:38,680 --> 00:06:41,880 Speaker 1: Who were the two assembly people on your committee? Oh, 127 00:06:41,960 --> 00:06:44,880 Speaker 1: me A Banta, who's one of them? Who's Mia Banta 128 00:06:44,920 --> 00:06:47,720 Speaker 1: and who he didn't vote yes? And the other one 129 00:06:47,760 --> 00:06:52,880 Speaker 1: is Brian was the other one, So Mia Banta, who's 130 00:06:53,000 --> 00:06:57,440 Speaker 1: the wife of Rob Bonta, the Attorney general. Even after 131 00:06:57,520 --> 00:07:02,520 Speaker 1: this big ruckus and and and six Democrats converted, and 132 00:07:02,600 --> 00:07:06,679 Speaker 1: well four Democrats converted and voted, there were two left. 133 00:07:06,880 --> 00:07:09,560 Speaker 1: Mia Bant is one of them. She still wouldn't vote 134 00:07:09,880 --> 00:07:13,720 Speaker 1: to raise the prison penalties for child sex perverts who 135 00:07:13,800 --> 00:07:14,680 Speaker 1: traffic little. 136 00:07:14,520 --> 00:07:20,360 Speaker 4: Children, shameful, shampel and embarrassing. I'm so so disheartened by that. 137 00:07:20,480 --> 00:07:24,960 Speaker 1: What kind of what kind of a woman would do 138 00:07:25,080 --> 00:07:31,880 Speaker 1: that would vote to keep the penalties lessened for someone 139 00:07:31,880 --> 00:07:35,520 Speaker 1: who sells little girls for sex? What? What? Yes? 140 00:07:35,760 --> 00:07:37,800 Speaker 4: I had the answer. I wish I had the answer, 141 00:07:37,800 --> 00:07:38,440 Speaker 4: but I did not have. 142 00:07:38,840 --> 00:07:41,440 Speaker 1: And her husband wants to her husband wants to be governor, 143 00:07:42,000 --> 00:07:43,840 Speaker 1: and this is what she's do you think from a 144 00:07:43,840 --> 00:07:48,360 Speaker 1: practical standpoint, she. 145 00:07:48,840 --> 00:07:52,040 Speaker 4: Definitely didn't help that effort, that's for sure. I don't 146 00:07:52,080 --> 00:07:54,840 Speaker 4: know whether that will transpire. But I just find it 147 00:07:54,880 --> 00:07:59,120 Speaker 4: disheartening that in the clamor that we still have some resistance, 148 00:07:59,200 --> 00:08:02,560 Speaker 4: and I find that to be pretty remarkable and disheartening. 149 00:08:02,960 --> 00:08:05,000 Speaker 2: All Right, Tom, thank you so much for coming back 150 00:08:05,040 --> 00:08:06,200 Speaker 2: on and updating us. 151 00:08:06,280 --> 00:08:06,960 Speaker 1: Yeah, good work. 152 00:08:07,920 --> 00:08:11,200 Speaker 4: Well, thank you for allowing me to share this positive 153 00:08:11,240 --> 00:08:12,239 Speaker 4: information for change. 154 00:08:12,360 --> 00:08:14,560 Speaker 1: Yes, Yes, it's a good Yes. 155 00:08:14,880 --> 00:08:19,320 Speaker 2: Assemblyman Tom Lackey, Republican on the Assembly Public Safety Committee. 156 00:08:19,320 --> 00:08:21,200 Speaker 2: Of course, he's voted all along for this bill that 157 00:08:21,280 --> 00:08:25,520 Speaker 2: would classified child sex trafficking as a serious felony, which 158 00:08:25,560 --> 00:08:28,640 Speaker 2: is an important distinction because that means they get a 159 00:08:28,640 --> 00:08:30,640 Speaker 2: long prison sentence. They're going to have to serve it 160 00:08:30,640 --> 00:08:32,960 Speaker 2: because it can be a strike on their record. That's 161 00:08:32,960 --> 00:08:35,400 Speaker 2: the big difference. We learned this years ago with the 162 00:08:35,440 --> 00:08:37,760 Speaker 2: ballot measures like Prop fifty seven, where we had that 163 00:08:37,800 --> 00:08:39,800 Speaker 2: list of serious felonies and we found out there's a 164 00:08:39,840 --> 00:08:42,800 Speaker 2: lot of things missing. I hope they can put them 165 00:08:42,800 --> 00:08:44,560 Speaker 2: all in. There are the things like, you know, raping 166 00:08:44,600 --> 00:08:47,640 Speaker 2: an unconscious person, I think, something dealing with domestic violence, 167 00:08:47,920 --> 00:08:49,640 Speaker 2: and of course this too now mention. 168 00:08:49,559 --> 00:08:54,400 Speaker 1: This every day. But why why do we have to 169 00:08:54,440 --> 00:08:58,680 Speaker 1: have a system. We're the only legislators who were against 170 00:08:58,679 --> 00:09:03,679 Speaker 1: this bill are the majority on the Assembly Public Safety Committee. 171 00:09:03,960 --> 00:09:06,640 Speaker 1: None of the other Democrats apparently are against this bill. 172 00:09:06,800 --> 00:09:11,319 Speaker 1: None of the Republicans obviously aren't. So what why are 173 00:09:11,360 --> 00:09:15,240 Speaker 1: they all loaded there? Who forces the Democrats to do that? 174 00:09:16,480 --> 00:09:21,600 Speaker 1: And did they Is this a cynical ploy where most 175 00:09:21,640 --> 00:09:23,920 Speaker 1: of the Democrats didn't want this to pass but they 176 00:09:23,960 --> 00:09:27,120 Speaker 1: know it would look very bad in an election cycle. 177 00:09:28,600 --> 00:09:29,839 Speaker 1: And I don't know. 178 00:09:29,960 --> 00:09:33,240 Speaker 2: I mean, I'm looking at this story for what happened today. 179 00:09:33,280 --> 00:09:38,720 Speaker 2: This Democratic Majority leader Isaac Bryan, he moved to waive 180 00:09:38,720 --> 00:09:41,400 Speaker 2: the rules on the Assembly floor this morning. That forced 181 00:09:41,400 --> 00:09:44,240 Speaker 2: the committee to hear the bill again immediately and then 182 00:09:44,360 --> 00:09:45,000 Speaker 2: he didn't vote. 183 00:09:45,000 --> 00:09:47,200 Speaker 1: He was one of the extensions. I don't really understand that. 184 00:09:47,440 --> 00:09:49,640 Speaker 1: So well, there's something wrong with these people. They're not 185 00:09:49,720 --> 00:09:52,760 Speaker 1: logical and rational. There are rational thinkers. It's like, well, 186 00:09:52,800 --> 00:09:56,640 Speaker 1: of course you want to take men who sexually abuse 187 00:09:56,840 --> 00:09:59,240 Speaker 1: little girls and buy them and sell them for sex. 188 00:09:59,280 --> 00:10:00,880 Speaker 1: Of course you'd want to put them away for as 189 00:10:00,920 --> 00:10:04,240 Speaker 1: long as possible. Right, that's not a debatable point. There 190 00:10:04,280 --> 00:10:07,040 Speaker 1: is no two sides to this issue. So if you're 191 00:10:07,080 --> 00:10:10,840 Speaker 1: willing to give those guys a break, there's no point 192 00:10:10,880 --> 00:10:13,600 Speaker 1: an whising anything else they do or any other issue 193 00:10:13,600 --> 00:10:16,959 Speaker 1: they vote on. They're crazy people. All right. We got 194 00:10:17,000 --> 00:10:19,280 Speaker 1: more coming up, including your chance for money. 195 00:10:19,480 --> 00:10:23,840 Speaker 2: The KFI inflation compensation contest continues with another keyword, John 196 00:10:23,880 --> 00:10:27,680 Speaker 2: and KENKFI AM six forty live everywhere iHeartRadio app. 197 00:10:28,400 --> 00:10:31,760 Speaker 5: You're listening to John and Ken on demand from KFI 198 00:10:31,960 --> 00:10:33,199 Speaker 5: AM six forty. 199 00:10:34,880 --> 00:10:35,040 Speaker 4: Now. 200 00:10:35,080 --> 00:10:37,840 Speaker 2: One of the hacks on the Assembly Public Safety community. 201 00:10:37,840 --> 00:10:40,880 Speaker 2: One of the Democrat hacks that abstained in the first 202 00:10:40,960 --> 00:10:45,240 Speaker 2: round of voting on Senate Bill fourteen, which again would 203 00:10:45,320 --> 00:10:48,480 Speaker 2: make child sex trafficking a serious felony which could add 204 00:10:48,520 --> 00:10:52,280 Speaker 2: significant prison time, was this Liz Ortega from the Bay Area. 205 00:10:52,679 --> 00:10:55,000 Speaker 2: We mentioned her yesterday, we played some audio. She was 206 00:10:55,040 --> 00:10:57,000 Speaker 2: the one John that said we need more outreach. She 207 00:10:57,200 --> 00:10:58,920 Speaker 2: mentioned getting him ato housing or something. 208 00:10:59,000 --> 00:11:01,360 Speaker 1: Do we have her clip? Because she sounded like an 209 00:11:01,440 --> 00:11:04,000 Speaker 1: eight year old girl. Well, that's funny you said that, 210 00:11:04,080 --> 00:11:06,599 Speaker 1: because the tweet I'm about to read also sounds like 211 00:11:06,600 --> 00:11:08,440 Speaker 1: an eight year old girl. Do we still have the clip? 212 00:11:08,960 --> 00:11:10,920 Speaker 1: Can we play it? Or still digging it out? I 213 00:11:10,920 --> 00:11:11,600 Speaker 1: didn't ask for it. 214 00:11:11,760 --> 00:11:16,319 Speaker 6: The system isn't alone, and you know three strikes has 215 00:11:16,360 --> 00:11:19,760 Speaker 6: also shown that it has failed many in our community. 216 00:11:20,880 --> 00:11:26,240 Speaker 6: And so you know, I'm struggling with how do we 217 00:11:26,760 --> 00:11:33,600 Speaker 6: support you with mental health, access, with housing, with education, 218 00:11:34,040 --> 00:11:38,200 Speaker 6: with good jobs, because it's part of a holistic approach. 219 00:11:39,320 --> 00:11:43,120 Speaker 6: Sending someone to prison for the rest of their lives 220 00:11:43,800 --> 00:11:50,400 Speaker 6: is not going to fix the harm moving forward, and 221 00:11:50,440 --> 00:11:53,240 Speaker 6: that's the part that you know, I'm struggling with. 222 00:11:54,400 --> 00:11:56,280 Speaker 2: So, by the way, they wouldn't be going to the 223 00:11:56,280 --> 00:11:57,920 Speaker 2: prison for the rest of their lives. I mean they 224 00:11:57,960 --> 00:12:00,560 Speaker 2: get twelve years, they'd serve twelve years. That we told 225 00:12:00,559 --> 00:12:02,280 Speaker 2: you this story yesterday, you can get out in four 226 00:12:02,360 --> 00:12:05,120 Speaker 2: with our stupid good time halftime. But because this would 227 00:12:05,120 --> 00:12:07,079 Speaker 2: be considered a serious felony. You'd have to serve the 228 00:12:07,080 --> 00:12:08,559 Speaker 2: whole twelve So shut up, lady. 229 00:12:09,280 --> 00:12:14,080 Speaker 1: Here's her tweet. Here's her tweet from today. On Tuesday, 230 00:12:14,160 --> 00:12:15,360 Speaker 1: I made a bad decision. 231 00:12:15,440 --> 00:12:19,160 Speaker 2: Voting against legislation targeting really bad people who traffic children 232 00:12:19,240 --> 00:12:19,600 Speaker 2: was wrong. 233 00:12:20,040 --> 00:12:21,040 Speaker 1: I regret doing that. 234 00:12:21,200 --> 00:12:24,000 Speaker 2: I'm going to help get this important legislation passed into law. 235 00:12:24,240 --> 00:12:26,320 Speaker 2: Like somebody pulled her into the woodshed and spanked her 236 00:12:26,440 --> 00:12:28,640 Speaker 2: or something, I made a bad mistake. I made a 237 00:12:28,679 --> 00:12:29,520 Speaker 2: bad mistake. 238 00:12:29,679 --> 00:12:32,800 Speaker 1: So it wasn't instinctive to her that you should put 239 00:12:33,080 --> 00:12:37,200 Speaker 1: child sex traffickers in prison for a long time. She's 240 00:12:37,240 --> 00:12:42,920 Speaker 1: a woman. I'm shocked at the way women in the 241 00:12:42,920 --> 00:12:46,719 Speaker 1: Assembly are voting and acting and what they're saying. You 242 00:12:48,280 --> 00:12:52,920 Speaker 1: create life, the life forms in your bellies, and then 243 00:12:53,040 --> 00:12:55,959 Speaker 1: eight years later, the life you created is going to 244 00:12:56,040 --> 00:13:00,360 Speaker 1: get sold for sex by some creepy, sleazy, sweaty who's 245 00:13:00,360 --> 00:13:03,920 Speaker 1: going to make money off your little girl, and you 246 00:13:03,960 --> 00:13:07,439 Speaker 1: would allow that. You wouldn't instinctively say I want to 247 00:13:07,520 --> 00:13:10,280 Speaker 1: kill them. We got to execute these people, we should 248 00:13:10,280 --> 00:13:15,679 Speaker 1: throw them away forever. I mean, I'm just astonished because 249 00:13:16,080 --> 00:13:20,720 Speaker 1: I thought often women ran on this idea that they 250 00:13:21,040 --> 00:13:25,800 Speaker 1: bring a different perspective, a more compassionate perspective. Oh yeah, 251 00:13:25,800 --> 00:13:28,480 Speaker 1: they're not toxic men, right point of view for me 252 00:13:28,640 --> 00:13:33,080 Speaker 1: as being a mother. So the compassion doesn't work for 253 00:13:33,320 --> 00:13:35,880 Speaker 1: the little eight year old girl who's now got to 254 00:13:35,920 --> 00:13:40,240 Speaker 1: surrender her body to multiple men a knight because somebody 255 00:13:40,480 --> 00:13:46,480 Speaker 1: kidnapped her and sold her for sex or helped drag 256 00:13:46,520 --> 00:13:50,120 Speaker 1: her across the border. I mean, I'm just lizer take. 257 00:13:50,160 --> 00:13:53,360 Speaker 1: It didn't occur to her immediately, but by the way, 258 00:13:53,640 --> 00:13:57,880 Speaker 1: I'm I'm looking at this woman. She's forty, she's forty 259 00:13:57,920 --> 00:14:02,040 Speaker 1: five years old. She's forty five years old. She sounds 260 00:14:02,040 --> 00:14:05,000 Speaker 1: like she's eight, and she thinks as if she's four. 261 00:14:07,440 --> 00:14:10,920 Speaker 1: I just don't understand these These are freaks. I've realized 262 00:14:10,960 --> 00:14:16,480 Speaker 1: all these people are just freaks, ambitious freaks, narcissistic freaks. 263 00:14:16,880 --> 00:14:19,600 Speaker 1: They want power, they want some celebrity, they want to 264 00:14:19,600 --> 00:14:25,280 Speaker 1: control things. But they're crazy. She's a crazy person. Here 265 00:14:25,400 --> 00:14:26,400 Speaker 1: is newsome. 266 00:14:27,560 --> 00:14:31,160 Speaker 2: Yesterday we heard because we had Shannon Grove, the author 267 00:14:31,160 --> 00:14:33,800 Speaker 2: of the bill, on the show, that he reached out 268 00:14:33,840 --> 00:14:36,480 Speaker 2: to her and then eventually he made some comments about 269 00:14:36,480 --> 00:14:37,560 Speaker 2: Senate Bill fourteen. 270 00:14:37,680 --> 00:14:38,960 Speaker 1: Here we go, I died. 271 00:14:39,080 --> 00:14:42,000 Speaker 7: Huh In the Assembly. I talked to Senator Grove about 272 00:14:42,000 --> 00:14:45,160 Speaker 7: it this morning, which is indicative of my desire to 273 00:14:45,160 --> 00:14:48,680 Speaker 7: see what we can do. Yeah, and I want to 274 00:14:48,720 --> 00:14:53,680 Speaker 7: say nothing more than that, because I want to understand 275 00:14:53,720 --> 00:14:56,680 Speaker 7: exactly what happened yesterday. I didn't have the privilege was 276 00:14:56,840 --> 00:15:00,360 Speaker 7: with you and doing other things yesterday of watching that 277 00:15:00,440 --> 00:15:02,800 Speaker 7: Assembly hearing, but I was well aware that it went 278 00:15:02,840 --> 00:15:05,480 Speaker 7: through I think overwhelming through the Senate. So I was 279 00:15:05,520 --> 00:15:08,800 Speaker 7: surprised by that said area. I cared deeply about have 280 00:15:09,040 --> 00:15:12,600 Speaker 7: since my time as mayor, as a supervisor, working with 281 00:15:12,680 --> 00:15:17,440 Speaker 7: then district Attorney Kamala Harris, we put a few, you know, 282 00:15:17,480 --> 00:15:20,880 Speaker 7: twenty five additional million dollars in the budget last year 283 00:15:20,920 --> 00:15:24,520 Speaker 7: in the space and I take it very seriously. So 284 00:15:24,760 --> 00:15:28,800 Speaker 7: I appreciate Shannon Grove's efforts on this and wanted to 285 00:15:28,800 --> 00:15:31,920 Speaker 7: make sure she knew that today. And we'll be following 286 00:15:32,000 --> 00:15:33,760 Speaker 7: up and want more say I about that very shortly. 287 00:15:34,240 --> 00:15:36,000 Speaker 1: Okay, mister President, So. 288 00:15:36,160 --> 00:15:39,960 Speaker 2: Was that did he beat some people up in the Assembly? 289 00:15:40,080 --> 00:15:42,280 Speaker 2: Tell him this is not what This doesn't look good 290 00:15:42,280 --> 00:15:43,240 Speaker 2: for me or any of you. 291 00:15:43,240 --> 00:15:45,720 Speaker 1: You would think how about calling his Attorney general, who 292 00:15:45,920 --> 00:15:51,280 Speaker 1: he's usually buddies with, whose wife voted voted to block 293 00:15:51,360 --> 00:15:55,920 Speaker 1: this bill from passing. Now, yeah, I was looking up 294 00:15:55,960 --> 00:16:00,760 Speaker 1: Lizzer Tega. She filed for bankruptcy in twenty ten. She 295 00:16:00,840 --> 00:16:04,400 Speaker 1: owed a checkbook, she owed, she owed six hundred thousand 296 00:16:04,480 --> 00:16:10,840 Speaker 1: plus dollars, didn't pay her student loans, didn't pay the irs, 297 00:16:12,160 --> 00:16:15,720 Speaker 1: didn't pay a loan from Chase Bank, And in twenty eighteen, 298 00:16:15,760 --> 00:16:21,240 Speaker 1: California claimed a sixteen thousand dollars taxing against Ortega. So 299 00:16:21,520 --> 00:16:25,360 Speaker 1: this crazy lady who's clip we played a minute ago, 300 00:16:25,800 --> 00:16:29,120 Speaker 1: doesn't pay her taxes, doesn't pay her student loans, and 301 00:16:30,760 --> 00:16:36,760 Speaker 1: voted against putting child sex traffickers away in prison for 302 00:16:36,800 --> 00:16:40,520 Speaker 1: a long time. But other than that, I mean, she's 303 00:16:40,520 --> 00:16:44,880 Speaker 1: a great political leader, isn't she. Wow. I mean, you'd 304 00:16:44,920 --> 00:16:47,440 Speaker 1: go to a homeless shelter and get better candidates for 305 00:16:47,520 --> 00:16:49,280 Speaker 1: the Assembly than this lady. 306 00:16:50,920 --> 00:16:54,720 Speaker 2: The California Assembly Democrats were on Twitter before all this happened, 307 00:16:54,920 --> 00:16:57,480 Speaker 2: and they were sort of explaining their problems with the bill. 308 00:16:57,520 --> 00:16:59,080 Speaker 2: It looks like a lot of it was over. They 309 00:16:59,080 --> 00:17:01,000 Speaker 2: don't like the three strikes laws. They didn't want to 310 00:17:01,000 --> 00:17:03,520 Speaker 2: add any strikes to anybody. Well, too bad, you know 311 00:17:03,600 --> 00:17:08,480 Speaker 2: what they actually said, the unforeseen consequences could lead to 312 00:17:08,520 --> 00:17:10,720 Speaker 2: trafficked children being punished under the law. 313 00:17:11,440 --> 00:17:15,399 Speaker 1: That's that's a lie, that's nonsense. We need to ensure equity. 314 00:17:15,440 --> 00:17:17,119 Speaker 2: They actually put that word in there and ensure that 315 00:17:17,200 --> 00:17:20,440 Speaker 2: unforeseen consequences do not lead to trafficked children first actually 316 00:17:20,440 --> 00:17:22,240 Speaker 2: being punished under this law they put. 317 00:17:22,320 --> 00:17:24,640 Speaker 1: They put equity at the end of everything. The way 318 00:17:25,119 --> 00:17:27,119 Speaker 1: if you go to a Christian church, they say, amen. 319 00:17:28,520 --> 00:17:30,040 Speaker 1: Just at the end of whatever you write on Twitter, 320 00:17:30,200 --> 00:17:33,480 Speaker 1: just put equity. They did. That's it's just a word. 321 00:17:33,520 --> 00:17:36,720 Speaker 1: It doesn't mean anything. And there are certainly zero chants 322 00:17:36,840 --> 00:17:39,439 Speaker 1: that the that the kids that would be consequences for 323 00:17:39,520 --> 00:17:43,040 Speaker 1: the kids legally that that is a complete lie. Who 324 00:17:43,119 --> 00:17:48,080 Speaker 1: wrote that. It just says from Assembly Democrats. Assembly Democrats, 325 00:17:48,280 --> 00:17:52,879 Speaker 1: they some hack stafford. Look, they had no defense for this. 326 00:17:53,520 --> 00:17:56,199 Speaker 1: They know they had no defense. If you don't like 327 00:17:56,240 --> 00:17:59,840 Speaker 1: the three strikes law, too bad. It's the law of 328 00:17:59,880 --> 00:18:02,280 Speaker 1: the state and it's been around now for over thirty 329 00:18:02,359 --> 00:18:06,720 Speaker 1: years and it helped kill the early nineties crime wave 330 00:18:07,880 --> 00:18:11,200 Speaker 1: by putting bad guys in prison for a long time. 331 00:18:11,840 --> 00:18:14,000 Speaker 1: And every day a bad guys in prison is another 332 00:18:14,080 --> 00:18:15,560 Speaker 1: day they can't commit a felony. 333 00:18:16,880 --> 00:18:21,680 Speaker 2: So the bill now goes to the Assembly Appropriations Committee, 334 00:18:21,680 --> 00:18:23,920 Speaker 2: and that won't happen until mid to late August because, 335 00:18:23,960 --> 00:18:25,320 Speaker 2: as we just found out, they're taking. 336 00:18:25,160 --> 00:18:26,120 Speaker 1: A four week recess. 337 00:18:26,560 --> 00:18:30,120 Speaker 2: Today we'll have Shannon Grove, the state Senator from Bakersfield, 338 00:18:30,160 --> 00:18:31,360 Speaker 2: on the show after three. 339 00:18:32,040 --> 00:18:33,919 Speaker 1: But again, the bill is alive. 340 00:18:34,000 --> 00:18:36,879 Speaker 2: Send a Bill fourteen to punish the sex traffickers more harshly. 341 00:18:36,920 --> 00:18:40,680 Speaker 2: Johnny Ken I AM six forty live everywhere iHeartRadio app. 342 00:18:41,720 --> 00:18:45,080 Speaker 5: You're listening to John and Ken on demand from KFI 343 00:18:45,280 --> 00:18:46,240 Speaker 5: AM six forty. 344 00:18:48,359 --> 00:18:50,080 Speaker 1: We're live on the radio one until four and then 345 00:18:50,119 --> 00:18:52,560 Speaker 1: after four o'clock you go to the iHeart app because 346 00:18:52,600 --> 00:18:55,439 Speaker 1: it's the John and Kenn on demand podcast. There's no 347 00:18:55,480 --> 00:18:58,960 Speaker 1: need to miss a minute. You should be hearing the 348 00:18:59,119 --> 00:19:05,080 Speaker 1: entire program by four seven. We're out there. You got more. OK. 349 00:19:06,240 --> 00:19:08,600 Speaker 2: We're gonna drag out the Moistline people tomorrow. So we're 350 00:19:08,600 --> 00:19:11,479 Speaker 2: still taking your messages. Use the iHeartRadio app, the microphone icon, 351 00:19:11,600 --> 00:19:13,320 Speaker 2: or call the toll free number one eight seven seven 352 00:19:13,359 --> 00:19:16,400 Speaker 2: Moist eighty six one eight seven seven six six four 353 00:19:16,480 --> 00:19:21,160 Speaker 2: seven eight eight six. Again, Senate Bill fourteen is not dead. 354 00:19:21,200 --> 00:19:24,199 Speaker 2: That's the one that would punish child sex traffickers with 355 00:19:24,280 --> 00:19:28,040 Speaker 2: longer prison sentences because it would be considered a serious felony. 356 00:19:28,320 --> 00:19:29,919 Speaker 2: You walk up to anybody in the street with the 357 00:19:29,920 --> 00:19:31,520 Speaker 2: word serious and said, do you think it should be 358 00:19:31,520 --> 00:19:34,200 Speaker 2: a serious felony if you if you traffic young people 359 00:19:34,280 --> 00:19:36,919 Speaker 2: in sex, you're like, oh, you got john, Yeah, if 360 00:19:36,960 --> 00:19:39,200 Speaker 2: you sell eight year old girls for sex with men, 361 00:19:39,600 --> 00:19:40,200 Speaker 2: what do you think? 362 00:19:40,520 --> 00:19:42,840 Speaker 1: Seriously? No, I think the response you would get is 363 00:19:42,880 --> 00:19:43,359 Speaker 1: of course. 364 00:19:43,520 --> 00:19:45,960 Speaker 2: But I think that's what collapsed on the Democrats and 365 00:19:46,000 --> 00:19:49,520 Speaker 2: the Public Safety Committee because this story was everywhere, and 366 00:19:49,520 --> 00:19:52,200 Speaker 2: of course we gave it super extra coverage and they 367 00:19:52,240 --> 00:19:53,200 Speaker 2: look really bad. 368 00:19:53,320 --> 00:19:56,000 Speaker 1: Good work for those of you who called whoever you called, 369 00:19:56,160 --> 00:19:59,520 Speaker 1: it really had an effect. I think they got more 370 00:19:59,560 --> 00:20:02,080 Speaker 1: blowback than they've gotten for anything in many, many years, 371 00:20:02,119 --> 00:20:05,159 Speaker 1: because this is gross and you know what, maybe we'll 372 00:20:05,200 --> 00:20:07,199 Speaker 1: get to this later. But some of these, some of 373 00:20:07,240 --> 00:20:10,400 Speaker 1: these rotten it was, that's actually what they called them. 374 00:20:10,600 --> 00:20:14,640 Speaker 1: One of the California globe, the rotten districts. These these 375 00:20:14,680 --> 00:20:18,320 Speaker 1: are assembly districts, state senate districts where there's very few 376 00:20:18,359 --> 00:20:21,080 Speaker 1: people who vote, and that's where a lot of these 377 00:20:21,119 --> 00:20:24,600 Speaker 1: crackpots come from. These crackpot state senators and assemblymen who 378 00:20:24,640 --> 00:20:27,479 Speaker 1: thinks it's okay for guys to have sex with eight 379 00:20:27,560 --> 00:20:29,920 Speaker 1: year old girls, that's okay to buy and sell the girls. 380 00:20:30,320 --> 00:20:34,399 Speaker 1: They come from districts hardly anybody votes, and because there's 381 00:20:34,440 --> 00:20:37,719 Speaker 1: not that many eligible voters, they're heavily illegal alien vote, 382 00:20:38,600 --> 00:20:45,040 Speaker 1: heavily illegal alien population in these districts. And you know 383 00:20:45,119 --> 00:20:49,000 Speaker 1: that that's like Reggie Jones Sawyer should not be allowed 384 00:20:49,000 --> 00:20:53,800 Speaker 1: anywhere near a government building. Anybody who voted to block 385 00:20:53,840 --> 00:20:55,160 Speaker 1: this thing ought to be put in jail. 386 00:20:55,440 --> 00:20:58,040 Speaker 2: And there's the chair of the Assembly Public Safety Committee, 387 00:20:58,040 --> 00:21:01,080 Speaker 2: a Democrat assembly member from those Angels. 388 00:21:00,760 --> 00:21:01,960 Speaker 1: From Los Angeles. 389 00:21:02,280 --> 00:21:04,320 Speaker 2: We'll have the author of the bill, Shannon Grove, on 390 00:21:04,440 --> 00:21:09,320 Speaker 2: after three o'clock. Of course, the big story today is 391 00:21:09,359 --> 00:21:12,320 Speaker 2: that after midnight, I looks like the actors are going 392 00:21:12,359 --> 00:21:15,480 Speaker 2: to join the writers on the strike lines against the 393 00:21:15,520 --> 00:21:20,119 Speaker 2: major studios. They obviously want more out of everything that 394 00:21:20,200 --> 00:21:24,280 Speaker 2: is now coming from streaming and all the other revenues 395 00:21:24,320 --> 00:21:28,040 Speaker 2: that these big major studios take in. They had called 396 00:21:28,040 --> 00:21:31,600 Speaker 2: in a federal mediator that didn't seem to work. As 397 00:21:31,640 --> 00:21:33,879 Speaker 2: you know, the writers have been on strike for some time. 398 00:21:34,400 --> 00:21:36,400 Speaker 2: But now we're going to have the big name actors 399 00:21:36,520 --> 00:21:38,399 Speaker 2: I heard a lot of them, one hundred and sixty 400 00:21:38,480 --> 00:21:42,040 Speaker 2: thousand of them babbling to like Matt Damon, talking tough 401 00:21:42,080 --> 00:21:45,159 Speaker 2: and not that he's barely getting by. But you know, 402 00:21:45,320 --> 00:21:48,399 Speaker 2: it's the union, so it's supposed to protect the highest 403 00:21:48,440 --> 00:21:49,480 Speaker 2: paid to the lowest paid. 404 00:21:50,400 --> 00:21:55,480 Speaker 1: You know, this always goes on like every I don't know, 405 00:21:55,600 --> 00:21:58,399 Speaker 1: twenty years or so, because it's the first time in 406 00:21:58,440 --> 00:22:01,320 Speaker 1: sixty years though, that the actors of the writers because 407 00:22:01,359 --> 00:22:06,679 Speaker 1: you have a new technology here, streaming, and there was 408 00:22:06,720 --> 00:22:10,720 Speaker 1: nothing in the old contracts that fairly compensated the writers 409 00:22:10,720 --> 00:22:13,440 Speaker 1: and the actors for all the residuals that they should 410 00:22:13,440 --> 00:22:18,119 Speaker 1: get from streaming. And you know that's the way a 411 00:22:18,160 --> 00:22:21,320 Speaker 1: lot of people view entertainment now, is streaming, right, right, 412 00:22:21,400 --> 00:22:24,200 Speaker 1: So this thing just blew up in the last ten years. 413 00:22:24,359 --> 00:22:26,200 Speaker 1: But doesn't all streaming lose money? 414 00:22:27,000 --> 00:22:30,040 Speaker 2: Well, because that's now they put out so much product 415 00:22:30,080 --> 00:22:32,920 Speaker 2: that they have to pay to produce. And you may 416 00:22:32,960 --> 00:22:34,920 Speaker 2: put out something that caused them just throwing out a 417 00:22:35,000 --> 00:22:38,080 Speaker 2: number half a million dollars to produce some stupid TV show, 418 00:22:38,119 --> 00:22:40,119 Speaker 2: And but if you only get you know, a couple 419 00:22:40,160 --> 00:22:42,800 Speaker 2: thousand people watching it, I realized they all pay to 420 00:22:42,880 --> 00:22:45,280 Speaker 2: be on your streaming service. But I'm just saying you 421 00:22:45,320 --> 00:22:47,359 Speaker 2: have just so much being offered to people now that 422 00:22:47,440 --> 00:22:50,360 Speaker 2: all cost money to produce. Are you're going to take 423 00:22:50,359 --> 00:22:53,280 Speaker 2: it enough revenue from the monthly subscription fees. 424 00:22:53,520 --> 00:22:57,280 Speaker 1: It's because the product. The studios makes so many bad 425 00:22:57,280 --> 00:23:02,679 Speaker 1: decisions handling their business. They don't release the ratings on 426 00:23:02,760 --> 00:23:06,119 Speaker 1: their shows. They know exactly how many people are watching 427 00:23:06,160 --> 00:23:08,320 Speaker 1: each show, and they know how long. 428 00:23:08,400 --> 00:23:11,119 Speaker 2: Because shows disappear right, some shows, like they don't do 429 00:23:11,160 --> 00:23:11,840 Speaker 2: a second season. 430 00:23:11,880 --> 00:23:13,679 Speaker 1: I'm like, Okay, nobody watched that one did that, But 431 00:23:13,720 --> 00:23:15,639 Speaker 1: that's the only way you could tell if something was 432 00:23:16,720 --> 00:23:20,840 Speaker 1: a success or not is if they come back and 433 00:23:20,880 --> 00:23:24,360 Speaker 1: if they don't write right. But there is no statistic 434 00:23:24,960 --> 00:23:28,520 Speaker 1: available publicly on how many people watch any show like 435 00:23:28,560 --> 00:23:32,000 Speaker 1: you have Nielsen ratings for broadcast and cable television. There's 436 00:23:32,040 --> 00:23:35,880 Speaker 1: no such thing now. Ironically, what they have is much 437 00:23:35,920 --> 00:23:39,159 Speaker 1: more accurate because they have their servers and they know 438 00:23:39,320 --> 00:23:43,240 Speaker 1: exactly how many viewers every night for every show tune in, 439 00:23:43,680 --> 00:23:48,480 Speaker 1: so they know who's watching. The writers and the actors. 440 00:23:48,720 --> 00:23:52,960 Speaker 1: What they want is a third party to audit the 441 00:23:53,040 --> 00:23:56,920 Speaker 1: ratings and report back to the unions how many people 442 00:23:56,920 --> 00:23:59,560 Speaker 1: are watching so we can you can create some kind 443 00:23:59,600 --> 00:24:02,800 Speaker 1: of pays payscale to answer the question that you brought up. 444 00:24:03,320 --> 00:24:05,080 Speaker 1: You know, are a lot of people watching or not, 445 00:24:05,680 --> 00:24:08,080 Speaker 1: but the economic model is a little different. I mean, 446 00:24:08,080 --> 00:24:10,360 Speaker 1: some of this streaming services do have ads, but most 447 00:24:10,440 --> 00:24:12,960 Speaker 1: of them don't. Many people stream because they don't want 448 00:24:12,960 --> 00:24:15,919 Speaker 1: to see the ads. So, well, how do you if 449 00:24:15,960 --> 00:24:18,760 Speaker 1: you think you're the pay there from the fact that 450 00:24:18,760 --> 00:24:20,520 Speaker 1: the revenue is different because it's just coming from like 451 00:24:20,560 --> 00:24:23,800 Speaker 1: monthly streaming fees. Well, this is the other part that 452 00:24:23,840 --> 00:24:28,880 Speaker 1: these stupid streaming companies botched up. They way way overpaid 453 00:24:28,960 --> 00:24:32,919 Speaker 1: with mega production deals. Oh they did see Netflix. They 454 00:24:32,960 --> 00:24:36,000 Speaker 1: went crazy and they started producing hundreds of shows. Do 455 00:24:36,000 --> 00:24:38,840 Speaker 1: you know how many shows were being produced in lay 456 00:24:38,920 --> 00:24:44,080 Speaker 1: by LA networks and streamers in the last season, five 457 00:24:44,160 --> 00:24:47,800 Speaker 1: hundred and ninety nine, five hundred and ninety nine separate 458 00:24:48,119 --> 00:24:51,879 Speaker 1: entertainment productions. Is that astonishing? It used to be between 459 00:24:51,920 --> 00:24:54,679 Speaker 1: one and two hundred, now it's five hundred and ninety nine. Well, 460 00:24:54,720 --> 00:24:57,080 Speaker 1: there aren't enough eyeballs for five hundred and ninety nine. 461 00:24:57,200 --> 00:24:59,400 Speaker 1: They made too many shows and they paid too much 462 00:24:59,480 --> 00:25:03,160 Speaker 1: money for them shows. And then they're claiming, oh, get 463 00:25:03,160 --> 00:25:06,919 Speaker 1: make money well, well, manage your business properly. Because the 464 00:25:06,920 --> 00:25:09,560 Speaker 1: writers and the actors are doing the work, they're supposed 465 00:25:09,560 --> 00:25:12,480 Speaker 1: to get paid for the work. Yeah, I'm just saying 466 00:25:12,480 --> 00:25:13,159 Speaker 1: things were simpler. 467 00:25:13,200 --> 00:25:14,800 Speaker 2: Let's say, you know, in the old days of just 468 00:25:14,840 --> 00:25:17,160 Speaker 2: the networks pretty much you had a show like Friends, 469 00:25:17,160 --> 00:25:19,000 Speaker 2: which had big ratings, as you said. 470 00:25:19,000 --> 00:25:22,800 Speaker 1: So that you could attach big advertiser money to that. 471 00:25:23,280 --> 00:25:25,000 Speaker 2: You don't really, you can't really do that under this 472 00:25:25,040 --> 00:25:28,439 Speaker 2: economic model, right, Even if they have a show that's popular, how. 473 00:25:28,320 --> 00:25:31,760 Speaker 1: Do they turn around and collect enough money to cover 474 00:25:31,800 --> 00:25:37,239 Speaker 1: its popularity. I think they know which shows bringing the subscribers, 475 00:25:37,920 --> 00:25:40,280 Speaker 1: and I think that's because they'll keep them right right, 476 00:25:40,320 --> 00:25:42,919 Speaker 1: They'll keep them right And what they've also. 477 00:25:42,680 --> 00:25:44,600 Speaker 2: Been trying to do is choke each other out. We 478 00:25:44,640 --> 00:25:48,000 Speaker 2: saw this in the ride share business too. The streaming 479 00:25:48,040 --> 00:25:50,200 Speaker 2: services are just like you said, spending a lot of 480 00:25:50,200 --> 00:25:52,800 Speaker 2: money trying to get great entertainment to grab all the 481 00:25:52,800 --> 00:25:56,360 Speaker 2: eyeballs and hopefully snuff out some of their competition. 482 00:25:56,440 --> 00:25:58,919 Speaker 1: Get the other streamers will just give up. Yeah, well 483 00:25:58,960 --> 00:26:01,320 Speaker 1: they want to. They want to expand their market share 484 00:26:01,680 --> 00:26:04,520 Speaker 1: and elbow everybody else out of the way. Look. Look, 485 00:26:04,560 --> 00:26:08,960 Speaker 1: the journalism industry newspapers and magazines they never adjusted to 486 00:26:09,000 --> 00:26:12,960 Speaker 1: the internet. They were giving away all their journalism for 487 00:26:13,000 --> 00:26:15,840 Speaker 1: free for many years. And what did that do. They 488 00:26:15,840 --> 00:26:18,479 Speaker 1: made no money from all the eyeballs they got on 489 00:26:18,560 --> 00:26:23,160 Speaker 1: computer screens, and they lost all their print customers because 490 00:26:23,200 --> 00:26:25,200 Speaker 1: why would you pay for print if you were getting 491 00:26:25,200 --> 00:26:28,640 Speaker 1: it for free online? And how many newspapers and magazines 492 00:26:28,680 --> 00:26:30,400 Speaker 1: went out of business, how many of them went bankrupt 493 00:26:30,440 --> 00:26:32,800 Speaker 1: because of that, And they've never really caught up since, 494 00:26:34,160 --> 00:26:36,919 Speaker 1: you know, to some extent. Radio has done it with podcasts, 495 00:26:37,280 --> 00:26:42,720 Speaker 1: given away the product on podcasts, making it making it 496 00:26:42,760 --> 00:26:46,680 Speaker 1: easy for people to listen, and they've had trouble selling 497 00:26:46,680 --> 00:26:50,480 Speaker 1: advertising on podcasts. It's changing now, but at the beginning, 498 00:26:50,720 --> 00:26:52,560 Speaker 1: there was no money in it. There was no money 499 00:26:52,560 --> 00:26:57,720 Speaker 1: in online journalism. There's no profit in streaming. There was 500 00:26:58,440 --> 00:27:02,000 Speaker 1: billions of dollars of profit in broadcasting cable television billions. 501 00:27:02,560 --> 00:27:05,360 Speaker 1: So what they did is they they went and whole 502 00:27:05,400 --> 00:27:08,960 Speaker 1: hog on streaming without figuring out a business model to 503 00:27:09,000 --> 00:27:12,200 Speaker 1: be profitable. And then you know when and they keep 504 00:27:12,240 --> 00:27:15,040 Speaker 1: all these secrets. That's the thing. There are hit shows, 505 00:27:15,520 --> 00:27:18,320 Speaker 1: there's huge hit shows that are probably getting tens of 506 00:27:18,320 --> 00:27:21,040 Speaker 1: millions of people watching. They don't want to tell because 507 00:27:21,040 --> 00:27:23,320 Speaker 1: if they tell, then the writers and the actors are 508 00:27:23,320 --> 00:27:25,440 Speaker 1: going to rightly say, hey, we want a piece of this. 509 00:27:25,440 --> 00:27:28,800 Speaker 1: This is the reason people are paying a subscription. There's 510 00:27:28,880 --> 00:27:32,040 Speaker 1: got it monthly, there's got to be they know which 511 00:27:32,080 --> 00:27:34,159 Speaker 1: shows I mean they're charging What are they charge on 512 00:27:34,160 --> 00:27:36,840 Speaker 1: Netflix now, like seventeen ninety nine a month or no, 513 00:27:36,920 --> 00:27:41,000 Speaker 1: it's nineteen ninety nine month. Okay, all right, people are 514 00:27:41,320 --> 00:27:44,640 Speaker 1: paying nineteen ninety nine a month. What's that's over two 515 00:27:44,720 --> 00:27:47,760 Speaker 1: hundred and fifty dollars a year. There's a reason that 516 00:27:47,800 --> 00:27:50,520 Speaker 1: they're paying that much money. There's shows they like. So 517 00:27:50,680 --> 00:27:52,439 Speaker 1: which are the shows that they like? Which are the 518 00:27:52,440 --> 00:27:56,280 Speaker 1: shows that they're watching maybe repeat watching binging on? They know? 519 00:27:56,960 --> 00:27:57,600 Speaker 1: They don't want to. 520 00:27:57,520 --> 00:28:00,480 Speaker 2: Tell and also lurking in this by the way, they 521 00:28:00,560 --> 00:28:03,719 Speaker 2: reached a deal with the directors, but they have not 522 00:28:03,800 --> 00:28:06,600 Speaker 2: with the actors and the writers. Is the whole artificial 523 00:28:06,640 --> 00:28:09,520 Speaker 2: intelligence thing, because that's what's the problem is for the 524 00:28:09,560 --> 00:28:12,600 Speaker 2: writers that eventually, if that takes a hold in the 525 00:28:12,800 --> 00:28:16,520 Speaker 2: in the industry and you can start having algorithms and bots, 526 00:28:16,600 --> 00:28:19,800 Speaker 2: oh push out scripts, Why do you need the writers 527 00:28:19,840 --> 00:28:20,600 Speaker 2: to be paid that much? 528 00:28:20,600 --> 00:28:22,680 Speaker 1: All right? I read one writer talk about this. Let's 529 00:28:22,720 --> 00:28:26,280 Speaker 1: say guy writes detective shows right now. Well, if all 530 00:28:26,320 --> 00:28:29,600 Speaker 1: those scripts or all those summaries are on the internet, 531 00:28:29,680 --> 00:28:33,720 Speaker 1: because all AI does is it scans the Internet very 532 00:28:33,800 --> 00:28:38,080 Speaker 1: quickly and it gives you an amalgamation of what they discovered. 533 00:28:38,360 --> 00:28:40,040 Speaker 1: So he goes, So I'm going to write all these 534 00:28:40,040 --> 00:28:43,320 Speaker 1: scripts and then the AI machine is going to scan 535 00:28:43,400 --> 00:28:46,400 Speaker 1: the Internet and give me back what I already wrote. 536 00:28:47,440 --> 00:28:50,200 Speaker 1: I will end up replacing myself and not getting paid 537 00:28:50,240 --> 00:28:56,160 Speaker 1: for it. Well, all right, we'll talk more when we 538 00:28:56,160 --> 00:28:56,440 Speaker 1: come back. 539 00:28:56,480 --> 00:28:59,000 Speaker 2: Johnny Ken caf I AM six point forty live everywhere 540 00:28:59,000 --> 00:28:59,880 Speaker 2: iHeartRadio app. 541 00:29:00,640 --> 00:29:03,960 Speaker 5: You're listening to John and Ken on demand from KFI 542 00:29:04,200 --> 00:29:05,160 Speaker 5: AM six forty. 543 00:29:08,400 --> 00:29:10,680 Speaker 2: Well, what next bad thing can happen to the four 544 00:29:10,720 --> 00:29:13,520 Speaker 2: people in Rolling Hills Estates whose homes are collapsing down 545 00:29:13,600 --> 00:29:17,440 Speaker 2: into the canyon. People could steal from them. They have 546 00:29:17,560 --> 00:29:20,800 Speaker 2: arrested several people for looting the homes that were evacuated 547 00:29:20,840 --> 00:29:24,520 Speaker 2: because they're shaky and maybe collapsing. So we'll talk to 548 00:29:24,600 --> 00:29:27,680 Speaker 2: Steve gregriefrom KFI News after two o'clock and again the 549 00:29:27,680 --> 00:29:30,959 Speaker 2: big story. Senate Bill fourteen has been approved by an 550 00:29:30,960 --> 00:29:33,320 Speaker 2: Assembly public Safety Committee. That's the one that would punish 551 00:29:33,400 --> 00:29:37,760 Speaker 2: these child sex traffickers much more severely. It was a 552 00:29:37,760 --> 00:29:40,680 Speaker 2: big turnaround at everything in the last I think Tuesday 553 00:29:40,720 --> 00:29:41,719 Speaker 2: is when they blocked it. 554 00:29:42,160 --> 00:29:43,800 Speaker 1: Yesterday it was a lot of. 555 00:29:43,720 --> 00:29:46,560 Speaker 2: Coverage, and then today I went back to the Public 556 00:29:46,600 --> 00:29:49,080 Speaker 2: Safety Committee and what do you know, all but two 557 00:29:49,120 --> 00:29:51,520 Speaker 2: Democrats voted for the bill to. 558 00:29:51,520 --> 00:29:53,280 Speaker 1: Advance it to its next step. 559 00:29:53,360 --> 00:29:56,000 Speaker 2: So we'll talk to State Senator Shannon Grove after the 560 00:29:56,000 --> 00:29:58,680 Speaker 2: news at three ozer clock. We were just talking about, 561 00:29:58,760 --> 00:30:02,040 Speaker 2: of course, the writers and the actors. At midnight, the 562 00:30:02,080 --> 00:30:05,640 Speaker 2: actors are walking out in Hollywood. I'm sure I would 563 00:30:05,680 --> 00:30:08,280 Speaker 2: imagine there's still a lot of productions already in the can. 564 00:30:08,320 --> 00:30:10,280 Speaker 2: I mean, this will halt whatever they're doing right now, 565 00:30:10,320 --> 00:30:14,320 Speaker 2: but I guess the studios have plenty of material for 566 00:30:14,400 --> 00:30:17,000 Speaker 2: people to sit there and stream for a long time 567 00:30:17,080 --> 00:30:19,920 Speaker 2: before things get really ugly. But this could go on 568 00:30:20,040 --> 00:30:24,200 Speaker 2: for several months. One of the topics that they had 569 00:30:24,240 --> 00:30:28,520 Speaker 2: to fight over is artificial intelligence. Could that take over 570 00:30:28,840 --> 00:30:31,920 Speaker 2: some of the writing aspects of movies and TV and 571 00:30:31,960 --> 00:30:35,000 Speaker 2: all your streaming stuff. Well, let's go to an expert 572 00:30:35,320 --> 00:30:39,440 Speaker 2: on AI. We just found this out yesterday, John I 573 00:30:39,480 --> 00:30:42,840 Speaker 2: don't know if you knew this, but Kamala Harris had 574 00:30:42,880 --> 00:30:46,560 Speaker 2: some things to say about artificial intelligence, and I think 575 00:30:46,560 --> 00:30:47,240 Speaker 2: they're worth hearing. 576 00:30:47,360 --> 00:30:50,600 Speaker 1: Well, that's one of the responsibilities that Biden recently gave her. 577 00:30:51,640 --> 00:30:55,080 Speaker 1: Is that right that she was, Yeah, that's how I feel. No, no, 578 00:30:55,120 --> 00:30:58,280 Speaker 1: I'm not making this up. The administration said that she 579 00:30:58,440 --> 00:31:01,880 Speaker 1: is going to be the point person as the White 580 00:31:01,880 --> 00:31:03,600 Speaker 1: House figures out if there should be any kind of 581 00:31:03,640 --> 00:31:08,400 Speaker 1: federal policy regulating AI. Not a joke, it's not a joke. Really, 582 00:31:08,760 --> 00:31:12,920 Speaker 1: they picked Kamla Harris. Well, let's listen. 583 00:31:13,320 --> 00:31:15,960 Speaker 3: And I think the first part of this issue that 584 00:31:16,000 --> 00:31:19,160 Speaker 3: should be articulated is AI is kind of a fancy thing. 585 00:31:19,200 --> 00:31:23,040 Speaker 3: It's first of all, it's two letters. It means artificial intelligence. 586 00:31:23,440 --> 00:31:27,320 Speaker 3: But ultimately what it is is it's about machine learning, 587 00:31:28,800 --> 00:31:33,720 Speaker 3: and so the machine is taught. And part of the 588 00:31:33,800 --> 00:31:38,040 Speaker 3: issue here is what information is going into the machine 589 00:31:39,000 --> 00:31:43,000 Speaker 3: that will then determine and we can predict then if 590 00:31:43,040 --> 00:31:47,160 Speaker 3: we think about what information is going in, what then 591 00:31:47,880 --> 00:31:51,640 Speaker 3: will be produced in terms of decisions and opinions that 592 00:31:51,840 --> 00:31:54,920 Speaker 3: may be made through that process. So to reduce it 593 00:31:54,960 --> 00:31:57,560 Speaker 3: down to its most simple point, this is part of 594 00:31:57,600 --> 00:32:00,720 Speaker 3: the issue that we have here is thinking about what 595 00:32:00,840 --> 00:32:04,680 Speaker 3: is going into a decision and then whether that decision 596 00:32:04,720 --> 00:32:08,440 Speaker 3: is actually legitimate and reflective of the needs and the 597 00:32:08,760 --> 00:32:12,480 Speaker 3: life experiences of all people. And therefore, a big part 598 00:32:12,480 --> 00:32:16,320 Speaker 3: of what we will also discuss then is the transparency 599 00:32:16,520 --> 00:32:21,000 Speaker 3: in terms of the processes through which AI actually is 600 00:32:21,040 --> 00:32:25,520 Speaker 3: having an impact on decision. We understand the technology, do 601 00:32:25,560 --> 00:32:27,840 Speaker 3: we know what is going into the decisions that are 602 00:32:27,880 --> 00:32:33,480 Speaker 3: being made. So this is a very multifacet issue and topic. 603 00:32:33,800 --> 00:32:38,400 Speaker 3: And we also know that this is technology that is 604 00:32:38,520 --> 00:32:42,720 Speaker 3: rapidly developing, and so part of the common purpose that 605 00:32:42,760 --> 00:32:43,200 Speaker 3: we have. 606 00:32:43,200 --> 00:32:47,760 Speaker 1: As a urgency, Oh my gosh, there was still twenty 607 00:32:47,760 --> 00:32:50,760 Speaker 1: seconds left. Wait, there's twenty more seconds. About enjoying it. 608 00:32:50,800 --> 00:32:51,480 Speaker 1: I'll keep going. 609 00:32:52,160 --> 00:32:55,080 Speaker 3: And so part of the common purpose that we have 610 00:32:55,240 --> 00:32:58,160 Speaker 3: is a sense of urgency that we get in front 611 00:32:58,200 --> 00:33:02,840 Speaker 3: of this issue in terms of understanding the implications so 612 00:33:02,880 --> 00:33:06,560 Speaker 3: that we can work as a community of folks, private sector, 613 00:33:06,960 --> 00:33:12,080 Speaker 3: public sector, nonprofits, government to do what is in the 614 00:33:12,120 --> 00:33:15,320 Speaker 3: best interest getting the health and safety and well being 615 00:33:15,320 --> 00:33:16,320 Speaker 3: of the people of our country. 616 00:33:16,360 --> 00:33:18,720 Speaker 1: I'm about to get That's how I think about this. 617 00:33:20,600 --> 00:33:25,920 Speaker 1: I said to wrap it up at that last Holy pooh, 618 00:33:26,080 --> 00:33:27,200 Speaker 1: that was almost two minutes. 619 00:33:28,720 --> 00:33:31,520 Speaker 2: Remind you of just some corporate spokes hack who just 620 00:33:31,560 --> 00:33:33,880 Speaker 2: talks in circles to tell people to go away. 621 00:33:33,880 --> 00:33:36,320 Speaker 1: And I want to talk about this. If we were 622 00:33:36,360 --> 00:33:40,040 Speaker 1: in a rational world, somebody in that room would have 623 00:33:40,320 --> 00:33:43,200 Speaker 1: stood up and said, you are making no sense, like 624 00:33:43,400 --> 00:33:45,800 Speaker 1: just start screaming it. I don't know what the hell 625 00:33:45,840 --> 00:33:48,280 Speaker 1: you're talking about, and you don't know what you're talking about. 626 00:33:49,200 --> 00:33:51,600 Speaker 1: Why can't somebody do that? Why would be that such 627 00:33:51,640 --> 00:33:54,160 Speaker 1: a terrible thing for somebody to say, you're you're you're 628 00:33:54,200 --> 00:33:55,200 Speaker 1: a battling idiot. 629 00:33:56,320 --> 00:33:58,400 Speaker 2: I mean, let's just take one part of one sentence. 630 00:33:58,720 --> 00:34:00,720 Speaker 2: Part of the issue that we have here is thinking 631 00:34:00,720 --> 00:34:03,360 Speaker 2: about what is going into a decision, and then whether 632 00:34:03,400 --> 00:34:06,560 Speaker 2: that decision is actually legitimate and reflective of the needs 633 00:34:06,560 --> 00:34:08,320 Speaker 2: and the life experiences of all the people. 634 00:34:11,239 --> 00:34:12,240 Speaker 1: I looked at it twice. 635 00:34:12,000 --> 00:34:13,960 Speaker 2: Because I said, she's talking about the decision that the 636 00:34:13,960 --> 00:34:15,520 Speaker 2: AI makes the machine. 637 00:34:15,560 --> 00:34:17,560 Speaker 1: Is that what she's talking about? I don't know. You 638 00:34:17,600 --> 00:34:21,320 Speaker 1: shouldn't have to ask when someone speaks, it should be clear. 639 00:34:21,400 --> 00:34:23,440 Speaker 1: You shouldn't have to ask, well, what is she talking 640 00:34:23,480 --> 00:34:26,600 Speaker 1: about here? What does she mean? She is a master 641 00:34:26,840 --> 00:34:27,840 Speaker 1: generic babble? 642 00:34:28,360 --> 00:34:30,200 Speaker 2: I like though she had to get the word transparent 643 00:34:30,239 --> 00:34:32,480 Speaker 2: in there, just because government officials love to say we're 644 00:34:32,480 --> 00:34:34,480 Speaker 2: gonna be we've gotta be transparent about this. 645 00:34:34,520 --> 00:34:37,880 Speaker 1: There was no equity word what happened? No, Hey, I 646 00:34:37,920 --> 00:34:41,839 Speaker 1: should be equity equitable. She spoke for two minutes, didn't 647 00:34:41,880 --> 00:34:43,640 Speaker 1: utter the word equity or diversity. 648 00:34:45,160 --> 00:34:46,799 Speaker 2: All right, when we come back, we're going to get 649 00:34:46,800 --> 00:34:48,880 Speaker 2: an update of sorts on what's been going on in 650 00:34:48,960 --> 00:34:51,960 Speaker 2: Rolling Hills Estates with the collapsing homes down into the canyon. 651 00:34:52,840 --> 00:34:56,360 Speaker 2: Steve Gregory will join us. There have been some arrests made. 652 00:34:57,120 --> 00:34:59,680 Speaker 2: Have they arrested the people responsible for the homes collapsing in? 653 00:35:00,760 --> 00:35:03,280 Speaker 2: How about the good old word looting? Johnny Ken, CAFI 654 00:35:03,360 --> 00:35:06,080 Speaker 2: AM six forty Live everywhere, iHeartRadio app. 655 00:35:05,880 --> 00:35:08,320 Speaker 1: And Jebra Mark Laid in the twenty four hour Cafe Newsroom. 656 00:35:08,760 --> 00:35:10,560 Speaker 2: Hey, you've been listening to the John and Ken Show. 657 00:35:10,600 --> 00:35:13,279 Speaker 2: You can always hear us live on KFI AM six 658 00:35:13,400 --> 00:35:16,720 Speaker 2: forty one pm to four pm every Monday through Friday, 659 00:35:16,760 --> 00:35:20,360 Speaker 2: and of course anytime on demand on the iHeartRadio app