1 00:00:00,600 --> 00:00:03,000 Speaker 1: Caf I Am six forty. You're listening to the John 2 00:00:03,000 --> 00:00:09,240 Speaker 1: and Ken Show on demand on the iHeartRadio app. We'ren 3 00:00:09,320 --> 00:00:12,200 Speaker 1: the radio from one until four, and after four, whatever 4 00:00:12,240 --> 00:00:14,760 Speaker 1: you missed, you listen to the Johnny Cannon demand podcast. 5 00:00:14,840 --> 00:00:15,440 Speaker 1: You pick it up. 6 00:00:16,280 --> 00:00:18,439 Speaker 2: Yeah, and don't forget the moistline. It is going to 7 00:00:18,480 --> 00:00:21,160 Speaker 2: return on Friday. Of course, we haven't been around, especially 8 00:00:21,160 --> 00:00:24,240 Speaker 2: the last five days or so, so uh, there's room. 9 00:00:24,560 --> 00:00:26,880 Speaker 2: You can leave a messages in the iHeartRadio app. The 10 00:00:26,920 --> 00:00:30,040 Speaker 2: microphone iconnor called the toll free number one eight seven 11 00:00:30,200 --> 00:00:34,320 Speaker 2: seven moist eighty six one eighty seven seven six six 12 00:00:34,479 --> 00:00:38,400 Speaker 2: four seven eight eighty six. The last days of June 13 00:00:38,520 --> 00:00:41,640 Speaker 2: or traditionally the time when the US Supreme Court releases 14 00:00:41,680 --> 00:00:45,680 Speaker 2: its most contentious awaited decisions, and two that came down 15 00:00:45,800 --> 00:00:49,000 Speaker 2: very quickly late last week. We're about affirmative action and 16 00:00:49,040 --> 00:00:51,640 Speaker 2: student loans. We'll talk a little bit about affirmative action 17 00:00:52,240 --> 00:00:54,520 Speaker 2: later on this hour, and that was a long time coming, 18 00:00:54,880 --> 00:00:57,840 Speaker 2: but we'll begin with the student loan debacle. And of 19 00:00:57,880 --> 00:01:00,960 Speaker 2: course the Biden administration pulled this one out to forgive 20 00:01:01,560 --> 00:01:04,959 Speaker 2: student loan debt because they wanted a nice turnout for 21 00:01:05,000 --> 00:01:08,199 Speaker 2: the twenty twenty two midterm elections. They thought this would 22 00:01:08,360 --> 00:01:11,080 Speaker 2: and maybe, according to some polls, it did help in 23 00:01:11,120 --> 00:01:13,640 Speaker 2: some of the races. As you know, the Democrats did 24 00:01:13,640 --> 00:01:15,840 Speaker 2: not suffer as much as people thought they would in 25 00:01:15,880 --> 00:01:19,200 Speaker 2: a House of Representatives and the Senate. But so he 26 00:01:19,240 --> 00:01:22,319 Speaker 2: pulled out a two thousand and three law called the 27 00:01:22,440 --> 00:01:25,959 Speaker 2: Heroes Act, which was passed at the time of the 28 00:01:26,000 --> 00:01:31,600 Speaker 2: Iraq War. They use that as the basis to cancel 29 00:01:31,720 --> 00:01:35,960 Speaker 2: student loans. Now, what had already been going on back 30 00:01:36,000 --> 00:01:38,920 Speaker 2: to when Trump was president with the pandemic, is that 31 00:01:38,959 --> 00:01:42,520 Speaker 2: they had suspended repayment. But Biden wanted to take it 32 00:01:42,600 --> 00:01:47,280 Speaker 2: a big step further and forgive student loans up to 33 00:01:47,360 --> 00:01:49,880 Speaker 2: a certain amount. You could be forgiven up to ten 34 00:01:49,920 --> 00:01:52,200 Speaker 2: thousand dollars if you make one hundred and twenty five 35 00:01:52,200 --> 00:01:55,560 Speaker 2: grand a year or less, and twenty thousand dollars if 36 00:01:55,560 --> 00:01:59,240 Speaker 2: you received pelgrants. That's money awarded to students from families with, 37 00:01:59,360 --> 00:02:05,200 Speaker 2: as it's described here, exceptional financial need. Now, in the 38 00:02:05,320 --> 00:02:08,959 Speaker 2: Supreme Court decision, which was six to three conservatives against 39 00:02:08,960 --> 00:02:12,880 Speaker 2: the liberal justices, even Chief Justice John Roberts quoted of 40 00:02:12,919 --> 00:02:16,560 Speaker 2: all people, Nancy Pelosi in saying, Congress has to do this. 41 00:02:17,400 --> 00:02:20,959 Speaker 2: The president can't do this. This reminds us of back 42 00:02:20,960 --> 00:02:22,960 Speaker 2: when Obama was president and they wanted him to give 43 00:02:23,000 --> 00:02:25,120 Speaker 2: out amnesty, and he says he can't do that. 44 00:02:25,240 --> 00:02:29,400 Speaker 1: Congress has You know, most people are very ignorant on 45 00:02:29,440 --> 00:02:37,359 Speaker 1: how the government works. Congress has to propose laws. 46 00:02:36,120 --> 00:02:37,040 Speaker 2: Really big matters. 47 00:02:37,080 --> 00:02:39,120 Speaker 1: That is true. Yeah, it's right, there is. 48 00:02:39,160 --> 00:02:42,560 Speaker 2: The president has exceptional limited powers to do things in 49 00:02:42,600 --> 00:02:45,360 Speaker 2: small ways. But something I can't waive a wand and 50 00:02:45,440 --> 00:02:48,080 Speaker 2: let go of that much money and four hundred and 51 00:02:48,080 --> 00:02:51,120 Speaker 2: thirty billion dollars of student loan principle, that has to 52 00:02:51,160 --> 00:02:53,920 Speaker 2: come from the House of Representatives in the Senate. 53 00:02:54,240 --> 00:02:57,960 Speaker 1: You know. The way this just portrayed by the progressive 54 00:03:01,440 --> 00:03:03,359 Speaker 1: I don't know what to call them anymore, their liars 55 00:03:03,440 --> 00:03:06,480 Speaker 1: or what they are. The progressive liars in the media 56 00:03:06,720 --> 00:03:10,840 Speaker 1: makes it sound like the Supreme Court came out against 57 00:03:11,880 --> 00:03:15,480 Speaker 1: young people who owe money on their college loans. How cruel. 58 00:03:15,480 --> 00:03:20,480 Speaker 1: It's like, no, you stupid fool. And it's because it's 59 00:03:20,560 --> 00:03:23,919 Speaker 1: illegal for the president to do this. The House has 60 00:03:24,000 --> 00:03:29,320 Speaker 1: to The Democrats held the House and Senate entirely for 61 00:03:29,400 --> 00:03:32,160 Speaker 1: the first two years of the Biden presidency. They didn't 62 00:03:32,200 --> 00:03:35,640 Speaker 1: push this through. What does that tell you, though, What 63 00:03:35,680 --> 00:03:37,760 Speaker 1: does that tell you They didn't want to take a 64 00:03:37,800 --> 00:03:42,200 Speaker 1: four hundred billion dollar hit, what they want. The reason 65 00:03:42,240 --> 00:03:45,680 Speaker 1: this was invented is what you said. This was to 66 00:03:45,880 --> 00:03:50,240 Speaker 1: gin up turnout among young people. And that's what you 67 00:03:50,280 --> 00:03:50,760 Speaker 1: always say. 68 00:03:50,800 --> 00:03:52,880 Speaker 2: By the time this gets this Supreme Court, we will 69 00:03:52,880 --> 00:03:53,960 Speaker 2: have gained what we wanted to. 70 00:03:54,000 --> 00:03:57,400 Speaker 1: In the twenty twenty two Midday collections, young people are 71 00:03:57,480 --> 00:04:01,680 Speaker 1: not turned on by Biden. Okay, he's a silly, foolish 72 00:04:01,720 --> 00:04:05,240 Speaker 1: old man. They might hate Trump, but they're not They're 73 00:04:05,280 --> 00:04:10,040 Speaker 1: not biting people right. But so what happens when people 74 00:04:10,040 --> 00:04:12,520 Speaker 1: are not enthusiastic is they don't show up to vote. 75 00:04:13,080 --> 00:04:15,440 Speaker 1: So they needed an issue to get him to vote. 76 00:04:15,440 --> 00:04:18,200 Speaker 1: And I guarantee you that was the original conversation in 77 00:04:18,240 --> 00:04:20,480 Speaker 1: the White House. It's like, Okay, we're this is gonna 78 00:04:20,480 --> 00:04:22,920 Speaker 1: be a bloodbath in November unless we find some way 79 00:04:22,960 --> 00:04:25,800 Speaker 1: to get people excited. What issues would get people excited? 80 00:04:25,880 --> 00:04:27,960 Speaker 1: Let's do a poll. So they do a poll. What 81 00:04:28,160 --> 00:04:30,880 Speaker 1: do people ages I don't know, eighteen to thirty four 82 00:04:30,960 --> 00:04:34,159 Speaker 1: care about most? Oh man, they're all really really with 83 00:04:34,200 --> 00:04:38,239 Speaker 1: the downs. You know, it's seventy two percent of people 84 00:04:38,240 --> 00:04:41,280 Speaker 1: in that age group would vote Democratic if they could 85 00:04:41,279 --> 00:04:42,560 Speaker 1: get their student loans forgiven. 86 00:04:43,520 --> 00:04:47,279 Speaker 2: Hey that's understandable, right, I mean if I can't do this, yeah, 87 00:04:47,320 --> 00:04:49,600 Speaker 2: but don't worry. By the time they unravel this, yeah, 88 00:04:49,640 --> 00:04:51,719 Speaker 2: they'll probably be a judge will stop us briefly. But 89 00:04:52,000 --> 00:04:54,479 Speaker 2: we'll just plug ahead. Timmy gets to the Supreme Court 90 00:04:54,680 --> 00:04:56,360 Speaker 2: and we'll be past the elections. 91 00:04:56,400 --> 00:04:58,920 Speaker 1: They know all this, but what they do is they 92 00:04:59,000 --> 00:05:04,359 Speaker 1: ride up talking point arguments to give to their staff members. 93 00:05:04,720 --> 00:05:07,279 Speaker 1: They go on all the newscasts, all the talk shows, 94 00:05:07,400 --> 00:05:10,560 Speaker 1: all the interviews. They repeat the talking points over and 95 00:05:10,600 --> 00:05:13,760 Speaker 1: over again, very shallow talking points, and because the media 96 00:05:13,800 --> 00:05:17,760 Speaker 1: is largely progressive, nobody challenges them. Okay, So I mean 97 00:05:17,800 --> 00:05:21,680 Speaker 1: everybody plays their role. If you look at public life 98 00:05:21,839 --> 00:05:25,839 Speaker 1: as a stage with a script with a plot laid out, 99 00:05:26,120 --> 00:05:30,480 Speaker 1: the plot is this is this Democrats pulling badly. Big 100 00:05:30,560 --> 00:05:34,000 Speaker 1: midterm election coming up. We need an issue to get 101 00:05:34,160 --> 00:05:38,000 Speaker 1: up millennial support. What's big with millennials? Oh, that does 102 00:05:38,120 --> 00:05:41,320 Speaker 1: damn student loans. So we pretend we have the power 103 00:05:41,360 --> 00:05:43,720 Speaker 1: to do it, even though we don't. Most of these 104 00:05:44,200 --> 00:05:47,200 Speaker 1: most of these people are lawyers. Most of them studied 105 00:05:47,240 --> 00:05:51,520 Speaker 1: constitutional law, right they went to elite universities, Harvard, Yale. 106 00:05:51,520 --> 00:05:54,440 Speaker 1: Most of the people at the upper reaches of government 107 00:05:55,120 --> 00:05:58,440 Speaker 1: are well schooled in the constitution. They know how it works, 108 00:05:58,920 --> 00:06:02,040 Speaker 1: but they know most of the public or ignoramuses. And 109 00:06:02,160 --> 00:06:05,280 Speaker 1: you could fool them with an emotional argument, and you're 110 00:06:05,320 --> 00:06:07,279 Speaker 1: not going to pay any price for it. You'll get 111 00:06:07,680 --> 00:06:13,160 Speaker 1: some extra votes, then the Supreme Court rules against you, 112 00:06:13,360 --> 00:06:16,279 Speaker 1: and then you just insult the Supreme Court justices. That's 113 00:06:16,320 --> 00:06:17,080 Speaker 1: all the game. 114 00:06:17,680 --> 00:06:20,520 Speaker 2: To give you an idea what we're talking about in 115 00:06:20,600 --> 00:06:24,240 Speaker 2: terms of numbers, when they started this, you had to apply. 116 00:06:25,040 --> 00:06:27,680 Speaker 2: Twenty six million people in the weeks after this was 117 00:06:27,720 --> 00:06:31,960 Speaker 2: open applied for the program or were automatically eligible. And 118 00:06:32,040 --> 00:06:34,560 Speaker 2: if those twenty six million, more than sixteen million were 119 00:06:34,600 --> 00:06:37,760 Speaker 2: approved for loan cancelation by the Education Department before all 120 00:06:37,760 --> 00:06:38,479 Speaker 2: this got put on. 121 00:06:38,560 --> 00:06:42,919 Speaker 1: I have no I have no sympathy for people who 122 00:06:42,960 --> 00:06:45,560 Speaker 1: take out loans and they get and then choose a 123 00:06:45,640 --> 00:06:49,080 Speaker 1: major that doesn't give them a good paying job. That's 124 00:06:49,120 --> 00:06:53,000 Speaker 1: you being stupid, that's your parents being stupid. So that's 125 00:06:53,040 --> 00:06:55,200 Speaker 1: the price you have to pay. Welcome to the real world. 126 00:06:55,360 --> 00:06:58,880 Speaker 1: You do stupid, You make stupid financial decisions, You get screwed, 127 00:06:58,920 --> 00:07:02,240 Speaker 1: you get bent over. You know you can't borrow fifty 128 00:07:02,320 --> 00:07:05,560 Speaker 1: thousand dollars and then get a degree in gender fluid 129 00:07:05,600 --> 00:07:10,040 Speaker 1: poetry and then expect to get a six figure job 130 00:07:10,640 --> 00:07:14,960 Speaker 1: gener gender fluid poetry. Yes, I've not read that they 131 00:07:14,960 --> 00:07:19,600 Speaker 1: have bachelors, they have masters, they have doctorates. Now, so yes, like, 132 00:07:19,640 --> 00:07:21,800 Speaker 1: what do you think is gonna happen? You have a 133 00:07:21,920 --> 00:07:26,200 Speaker 1: worthless degree? Worthless? You would have been better off going 134 00:07:26,240 --> 00:07:28,240 Speaker 1: to work in a subway and cut roast beef for 135 00:07:28,280 --> 00:07:31,000 Speaker 1: four years, you walk out of the at least you 136 00:07:31,000 --> 00:07:32,960 Speaker 1: wouldn't have fifty grand worth of debt. 137 00:07:33,760 --> 00:07:37,560 Speaker 2: Well hours after this decision, Biden already announced he'll move 138 00:07:37,600 --> 00:07:39,560 Speaker 2: again to an act debt relief under something called the 139 00:07:39,680 --> 00:07:43,880 Speaker 2: nineteen sixty five Higher Education Act. Supposedly, though this could 140 00:07:43,880 --> 00:07:46,880 Speaker 2: take more time. But the Biden that people are telling 141 00:07:46,880 --> 00:07:48,920 Speaker 2: the press we believe it's legally sound. 142 00:07:49,040 --> 00:07:51,200 Speaker 1: No, they know it's not. They're gonna jin up the 143 00:07:51,280 --> 00:07:54,120 Speaker 1: vote for the next cycle. They do, because next year 144 00:07:54,160 --> 00:07:56,680 Speaker 1: he's on the ballot. That's right, if he makes it. 145 00:07:56,760 --> 00:07:59,240 Speaker 1: Why didn't the Democrats pass this when they had all 146 00:07:59,280 --> 00:08:04,680 Speaker 1: the power. Why if they had passed a bill forgive, 147 00:08:04,800 --> 00:08:06,880 Speaker 1: forgiving the loans and Biden sided it. That would be 148 00:08:06,920 --> 00:08:09,760 Speaker 1: a legal way to get it done. They didn't do it. 149 00:08:10,960 --> 00:08:13,960 Speaker 1: You know why, because this is really unpopular for everybody else. 150 00:08:14,320 --> 00:08:16,880 Speaker 1: This only helps thirteen percent of the public. The other 151 00:08:16,920 --> 00:08:19,440 Speaker 1: eighty seven percent we would have to pay off the 152 00:08:19,480 --> 00:08:23,760 Speaker 1: loans with our taxes. This polls badly with people who 153 00:08:23,800 --> 00:08:27,520 Speaker 1: did get a decent get a degree in a decent 154 00:08:27,600 --> 00:08:30,280 Speaker 1: job connected to their degree. This pisses off the two 155 00:08:30,360 --> 00:08:32,760 Speaker 1: thirds of the public that doesn't have a college degree. 156 00:08:33,080 --> 00:08:36,800 Speaker 1: Why why should people who didn't borrow the money have 157 00:08:36,920 --> 00:08:39,160 Speaker 1: to pay the bill? Under? What logic is that? 158 00:08:40,480 --> 00:08:44,200 Speaker 2: And interestingly enough, actually, in the last several years, student 159 00:08:44,240 --> 00:08:47,920 Speaker 2: loan debt nationally has actually has been declining. The average 160 00:08:48,000 --> 00:08:51,160 Speaker 2: federal loan peaked at about sixty five hundred dollars back 161 00:08:51,200 --> 00:08:54,320 Speaker 2: in twenty twenty a twenty ten, it dropped to just 162 00:08:54,360 --> 00:08:56,880 Speaker 2: thirty eight hundred in twenty twenty one and twenty two. 163 00:08:57,160 --> 00:09:00,360 Speaker 2: The only area where it's increasing, you might get this 164 00:09:01,040 --> 00:09:04,480 Speaker 2: is for people looking for graduate students. Oh, graduate student people. 165 00:09:04,559 --> 00:09:07,440 Speaker 1: Yeah, did you see the La Times and some of 166 00:09:07,480 --> 00:09:10,160 Speaker 1: the examples of people who are whining and bitching about this? 167 00:09:10,600 --> 00:09:12,800 Speaker 2: Oh? I saw some headline that they're skipping meals and 168 00:09:12,840 --> 00:09:14,000 Speaker 2: they're doing everything they can. 169 00:09:14,080 --> 00:09:17,120 Speaker 1: Actually, this whole article's worth going into. They're panicking, right, 170 00:09:17,360 --> 00:09:23,240 Speaker 1: Jerrah jem aias Jordan. Some people don't have regular names anymore. 171 00:09:23,960 --> 00:09:27,560 Speaker 1: He says he was aware of the political forces surrounding 172 00:09:27,600 --> 00:09:30,680 Speaker 1: the president's plan, but for a year he allowed himself 173 00:09:30,720 --> 00:09:34,439 Speaker 1: to dream. If the court had upheld student loan forgiveness, 174 00:09:34,880 --> 00:09:39,520 Speaker 1: the TikTok creator could pour money into his content with 175 00:09:39,679 --> 00:09:46,160 Speaker 1: new camera equipment. Yabozo, You're not gonna get rich pouring 176 00:09:46,520 --> 00:09:51,839 Speaker 1: money into your TikTok channel. There's two billion people on TikTok. 177 00:09:52,400 --> 00:09:56,440 Speaker 1: Nobody's gonna notice you. You don't have anything interesting to say. 178 00:09:56,559 --> 00:09:59,959 Speaker 1: Your film stink. He's in his third term at La 179 00:10:00,080 --> 00:10:03,080 Speaker 1: City College, where he studies filmmaking. He's got five thousand 180 00:10:03,280 --> 00:10:05,840 Speaker 1: federal loans. You can't pay a five thousand dollars loan back. 181 00:10:07,600 --> 00:10:10,960 Speaker 2: Yeah, most of it he's paying for off campus housing. 182 00:10:11,080 --> 00:10:14,160 Speaker 1: Honestly, you know, I look at the stuff that these 183 00:10:14,520 --> 00:10:18,800 Speaker 1: people are studying, and there's no jobs for these degrees. 184 00:10:19,800 --> 00:10:22,240 Speaker 1: There just isn't. 185 00:10:23,040 --> 00:10:25,560 Speaker 2: All right, when we come back, you'll have a chance 186 00:10:25,559 --> 00:10:27,840 Speaker 2: at some money. Maybe you have some student loans to 187 00:10:27,840 --> 00:10:31,040 Speaker 2: pay because now Borrow is gonna have to resume paying 188 00:10:31,080 --> 00:10:31,920 Speaker 2: off those loans. 189 00:10:31,960 --> 00:10:34,120 Speaker 1: With this decision, you have. 190 00:10:34,120 --> 00:10:37,160 Speaker 2: A chance at money with the CAFI Inflation compensation contest. 191 00:10:37,240 --> 00:10:40,840 Speaker 2: Be listening for the keyword Johnny KENKFI AM six forty 192 00:10:40,880 --> 00:10:43,000 Speaker 2: live everywhere in the iHeartRadio. 193 00:10:42,440 --> 00:10:47,720 Speaker 1: Apps finances, TikTok videos, Deborah Mark, I'm so glad I 194 00:10:47,720 --> 00:10:50,680 Speaker 1: don't have my three sons, none of them fell into 195 00:10:50,720 --> 00:10:54,280 Speaker 1: that hole. Jeesual, I see what's going on now. 196 00:10:55,240 --> 00:10:58,600 Speaker 3: You're listening to John and Ken on demand from KFI 197 00:10:58,840 --> 00:11:00,120 Speaker 3: AM six forty. 198 00:11:01,400 --> 00:11:03,760 Speaker 2: You're just talking about that guy that was complaining what 199 00:11:03,880 --> 00:11:06,319 Speaker 2: he wants to be a TikTok star or make TikTok movies, 200 00:11:06,360 --> 00:11:08,880 Speaker 2: and he had big student loans and now they're not 201 00:11:08,880 --> 00:11:11,839 Speaker 2: all going to get forgiven from the From the world 202 00:11:11,960 --> 00:11:15,160 Speaker 2: of social media influencers. There were two stories that caught 203 00:11:15,200 --> 00:11:18,200 Speaker 2: my attention. The Wall Street Journal did a story and 204 00:11:18,200 --> 00:11:19,640 Speaker 2: I find it hard to believe, but I actually know 205 00:11:19,720 --> 00:11:23,480 Speaker 2: someone that does this, that doesn't do this, but watches this. 206 00:11:24,240 --> 00:11:28,080 Speaker 2: There are people now who go to casinos and gamble 207 00:11:28,120 --> 00:11:30,160 Speaker 2: on slot machines and bring camera crews with them, and 208 00:11:30,200 --> 00:11:31,960 Speaker 2: people watch them online and they make money. 209 00:11:31,960 --> 00:11:32,400 Speaker 1: Off of it. 210 00:11:33,480 --> 00:11:35,920 Speaker 2: So this guy actually loses three hundred thousand dollars a 211 00:11:36,040 --> 00:11:39,360 Speaker 2: year playing the slots, but he makes that and more 212 00:11:39,720 --> 00:11:42,200 Speaker 2: because of all the followers he has who sit there. 213 00:11:42,200 --> 00:11:44,160 Speaker 2: And there was a couple of old women in Florida 214 00:11:44,320 --> 00:11:45,959 Speaker 2: who said they watch them all the time because he 215 00:11:46,000 --> 00:11:48,200 Speaker 2: gives good tips and he's entertaining. 216 00:11:49,040 --> 00:11:52,080 Speaker 1: I'm like, wow, we really are tips. It's a slot machine, 217 00:11:52,880 --> 00:11:56,199 Speaker 1: exactly right, you just pull the luck right, it's luck. Well, 218 00:11:56,280 --> 00:11:57,960 Speaker 1: is there something I'm missing on the slot? 219 00:11:58,520 --> 00:12:01,960 Speaker 2: Well, it's like anything else. You know how people with 220 00:12:02,040 --> 00:12:05,520 Speaker 2: sports have superstitions. People that that that gamble have superstitions. 221 00:12:05,520 --> 00:12:08,440 Speaker 2: They believe they have some sort of system that's going 222 00:12:08,480 --> 00:12:09,320 Speaker 2: to make this beat off. 223 00:12:09,360 --> 00:12:13,240 Speaker 1: Don't they deserve to lose their money. Not only they're gambling, right, 224 00:12:14,520 --> 00:12:20,319 Speaker 1: which over time is a sure loser idea, right, Not 225 00:12:20,360 --> 00:12:23,680 Speaker 1: only that, but then they think they have some superstitions 226 00:12:23,679 --> 00:12:24,640 Speaker 1: that control it. 227 00:12:25,320 --> 00:12:27,120 Speaker 2: Or they have a system, they have a way to 228 00:12:27,200 --> 00:12:29,520 Speaker 2: work it out, Like you know, when I press the 229 00:12:29,520 --> 00:12:32,040 Speaker 2: button and this happens, I know what could happen next, Right, 230 00:12:32,400 --> 00:12:33,679 Speaker 2: So this is where I double. 231 00:12:33,480 --> 00:12:35,640 Speaker 1: My bet because I'm about to hit big. 232 00:12:35,920 --> 00:12:40,520 Speaker 2: Well, he actually goes on cruises with these old women 233 00:12:41,040 --> 00:12:44,480 Speaker 2: and they pay for the cruise right, and there's slot 234 00:12:44,520 --> 00:12:45,959 Speaker 2: machines on the So. 235 00:12:46,360 --> 00:12:48,120 Speaker 1: What a racket? See, I can't make fun of this. 236 00:12:48,240 --> 00:12:49,480 Speaker 1: How long he can keep this going? 237 00:12:49,480 --> 00:12:51,839 Speaker 2: But he told the Wall Street Journal that well he's 238 00:12:51,920 --> 00:12:54,240 Speaker 2: three hundred thousand dollars in gambling losses. He makes much 239 00:12:54,280 --> 00:12:55,760 Speaker 2: more than that for this operation. 240 00:12:55,880 --> 00:12:58,480 Speaker 1: No, this is this is targeting stupid people. I approve 241 00:12:58,520 --> 00:12:58,720 Speaker 1: of that. 242 00:12:59,520 --> 00:13:02,839 Speaker 2: Well, the other story targeting stupid people was done by 243 00:13:02,840 --> 00:13:06,360 Speaker 2: the Elsigundo Times. There's a woman, her name is Karen 244 00:13:06,440 --> 00:13:12,600 Speaker 2: spelled c A R y N Marjorie who apparently she 245 00:13:12,679 --> 00:13:19,280 Speaker 2: apparently works social media to engage men and I think 246 00:13:19,360 --> 00:13:24,920 Speaker 2: they're very lonely men in conversations. She launched a technology 247 00:13:24,960 --> 00:13:30,480 Speaker 2: startup promising to make a personalized artificial intelligence clone. She's 248 00:13:30,520 --> 00:13:36,040 Speaker 2: a lifestyle influencer. So for a dollar a minute, yeah, 249 00:13:36,080 --> 00:13:38,640 Speaker 2: you can have a conversation, not with her, but with 250 00:13:38,760 --> 00:13:43,640 Speaker 2: her her clone, her AI chat bot. 251 00:13:43,720 --> 00:13:44,800 Speaker 1: Can you talk dirty to it? 252 00:13:45,800 --> 00:13:49,040 Speaker 2: There are rules and she does. She says that if 253 00:13:49,040 --> 00:13:51,960 Speaker 2: you get rude with the chat, body will be thrown off. 254 00:13:52,000 --> 00:13:54,440 Speaker 2: So you're going to pay money to talk to a 255 00:13:54,480 --> 00:13:58,679 Speaker 2: bot about whatever you want to talk about? Do they 256 00:13:58,720 --> 00:14:04,520 Speaker 2: know it's about she says, they do. Okay, I approve 257 00:14:04,520 --> 00:14:08,160 Speaker 2: of that one too. You can you can ask for 258 00:14:08,280 --> 00:14:10,520 Speaker 2: life advice, or you can a love this. You can 259 00:14:10,640 --> 00:14:13,000 Speaker 2: role play a sunset date to the beach with her 260 00:14:13,040 --> 00:14:14,000 Speaker 2: because she's attractive. 261 00:14:14,080 --> 00:14:16,960 Speaker 1: So some of the lonely men look at that. No 262 00:14:17,040 --> 00:14:17,640 Speaker 1: dirty talk. 263 00:14:18,760 --> 00:14:22,080 Speaker 2: If it gets too rude, she says, they throw you off. Yes, 264 00:14:22,720 --> 00:14:24,480 Speaker 2: I don't know what the definition of rude. 265 00:14:24,480 --> 00:14:26,880 Speaker 1: These guys are really suckers. They get no payoff at 266 00:14:26,880 --> 00:14:33,120 Speaker 1: the end. Huh Oh, these are in cells right now. 267 00:14:33,440 --> 00:14:36,840 Speaker 2: She's launching a new one where you can actually talk 268 00:14:36,880 --> 00:14:38,000 Speaker 2: to her. But it'll cost you a lot. 269 00:14:38,160 --> 00:14:41,120 Speaker 1: Uh, I bet you. All these guys have big college 270 00:14:41,160 --> 00:14:44,320 Speaker 1: loan payments. They're upset about I. 271 00:14:44,400 --> 00:14:48,440 Speaker 2: First of all, I believe there's millions of people trying 272 00:14:48,480 --> 00:14:50,160 Speaker 2: to make money this way, and just a few of 273 00:14:50,200 --> 00:14:52,360 Speaker 2: them do, but they end up in the news story, 274 00:14:52,520 --> 00:14:56,120 Speaker 2: so others believe, oh wow, yeah, yeah, she's making hundreds 275 00:14:56,120 --> 00:14:57,840 Speaker 2: of thousands of dollars. I can do that. 276 00:14:58,160 --> 00:15:00,720 Speaker 1: Most of them are making nothing. And you know what 277 00:15:00,760 --> 00:15:02,480 Speaker 1: I've read is there was a whole thing in The 278 00:15:02,480 --> 00:15:04,440 Speaker 1: New York Times a few weeks ago that some of 279 00:15:04,440 --> 00:15:10,560 Speaker 1: the influencers who did well early on are exhausted. They're 280 00:15:10,720 --> 00:15:12,920 Speaker 1: tired of posting because you got to post about your 281 00:15:12,920 --> 00:15:16,000 Speaker 1: personal life and you got to poke at post about 282 00:15:16,120 --> 00:15:19,400 Speaker 1: a lot of pictures and stories, pictures and stories and videos, 283 00:15:19,480 --> 00:15:22,120 Speaker 1: and and you don't really exist as a person anymore. 284 00:15:22,200 --> 00:15:25,360 Speaker 1: You're now this thing, You're now this character online that 285 00:15:25,440 --> 00:15:28,520 Speaker 1: has to be constantly updated because there's a million other 286 00:15:29,080 --> 00:15:31,320 Speaker 1: people like you who are doing the same thing, so 287 00:15:31,360 --> 00:15:34,880 Speaker 1: you're always in competition. So that that that's that's that's 288 00:15:34,920 --> 00:15:39,280 Speaker 1: what's terrible about the Internet is that there's unlimited numbers 289 00:15:39,320 --> 00:15:42,680 Speaker 1: of people doing this crap. Some unless you're you have 290 00:15:42,760 --> 00:15:48,600 Speaker 1: some exceptional odd talent, it's very hard to stand out, 291 00:15:48,640 --> 00:15:50,480 Speaker 1: and then you have to do it forever. 292 00:15:50,960 --> 00:15:53,680 Speaker 2: But this lady, at least in this operation, it's not 293 00:15:53,680 --> 00:15:56,880 Speaker 2: gonna get exhausted because her chatbots, she says, collecting the money. 294 00:15:56,960 --> 00:16:00,160 Speaker 1: That's what's great. I'd never would have thought that the 295 00:16:00,200 --> 00:16:02,880 Speaker 1: guys would be happy talking to the bot and they 296 00:16:02,880 --> 00:16:05,200 Speaker 1: don't even get the little dirty payoff at the end. 297 00:16:05,280 --> 00:16:08,800 Speaker 1: That's that's that's amazing. What where did all these sad 298 00:16:08,880 --> 00:16:10,520 Speaker 1: people come from? Were they always there? 299 00:16:11,840 --> 00:16:14,280 Speaker 2: There's been many reports and studies that have come out 300 00:16:14,320 --> 00:16:17,560 Speaker 2: that the younger what's the generation now that's in their 301 00:16:17,600 --> 00:16:19,520 Speaker 2: twenties or whatever, the in cell generation? 302 00:16:19,840 --> 00:16:22,240 Speaker 1: Well, but are they z y? See? 303 00:16:22,320 --> 00:16:25,600 Speaker 2: I think that they, more than ever are not dating, 304 00:16:25,640 --> 00:16:28,040 Speaker 2: and the pandemic really shut them down. And because they 305 00:16:28,080 --> 00:16:30,800 Speaker 2: spent they spent theirs not even having sex, is what 306 00:16:30,880 --> 00:16:33,480 Speaker 2: I'm reading, because they spent their adolescence looking at a 307 00:16:33,600 --> 00:16:37,640 Speaker 2: screen instead of trying to get to know girls. Interacting 308 00:16:37,680 --> 00:16:40,960 Speaker 2: you learn a tremendous amount, even if you're not good 309 00:16:41,000 --> 00:16:41,280 Speaker 2: at it. 310 00:16:41,640 --> 00:16:43,960 Speaker 1: You learn a lot in your high school years on 311 00:16:44,640 --> 00:16:48,120 Speaker 1: how girls work, and how dates work, and what you 312 00:16:48,160 --> 00:16:50,880 Speaker 1: should do and how to attract them or appeal to them. 313 00:16:51,040 --> 00:16:54,080 Speaker 1: You do, and if you don't do that, then you're 314 00:16:54,120 --> 00:16:57,000 Speaker 1: twenty five and you're an in cell talking to a bot. 315 00:17:00,040 --> 00:17:00,400 Speaker 1: All right? 316 00:17:00,760 --> 00:17:04,040 Speaker 2: What we returned the other big Supreme Court decision last 317 00:17:04,040 --> 00:17:06,480 Speaker 2: week on affirmative action. We're going to tell you though, 318 00:17:06,480 --> 00:17:09,240 Speaker 2: that some of the activists have struck back, and I 319 00:17:09,240 --> 00:17:12,119 Speaker 2: actually think they have a point. They have pulled a 320 00:17:12,160 --> 00:17:16,240 Speaker 2: new lawsuit over admissions. Johnny KENKFI AM six forty Live 321 00:17:16,320 --> 00:17:17,760 Speaker 2: Everywhere iHeartRadio app. 322 00:17:19,119 --> 00:17:22,480 Speaker 3: You're listening to John and Ken on demand from KFI 323 00:17:22,720 --> 00:17:23,639 Speaker 3: AM six forty. 324 00:17:25,560 --> 00:17:27,800 Speaker 1: We're on the radio one till four after four o'clock 325 00:17:27,840 --> 00:17:32,600 Speaker 1: Johnny Can on demand podcast download listen there you go. 326 00:17:33,040 --> 00:17:36,000 Speaker 2: Also connect to the moistline with the iHeartRadio app the 327 00:17:36,040 --> 00:17:38,879 Speaker 2: microphone icon. We have plenty of room for this week's 328 00:17:38,880 --> 00:17:40,760 Speaker 2: messages because it's already coming in just a couple of 329 00:17:40,840 --> 00:17:43,359 Speaker 2: days during this hour called the Tophrey number one eight 330 00:17:43,440 --> 00:17:46,359 Speaker 2: seven seven Moist eighty six one eight seven seven six 331 00:17:46,720 --> 00:17:51,360 Speaker 2: six four seven eight eight six. The other big Supreme 332 00:17:51,400 --> 00:17:54,080 Speaker 2: Court decision that was announced late last week, of course 333 00:17:54,200 --> 00:17:59,640 Speaker 2: struck down affirmative action, and of course this has got 334 00:17:59,640 --> 00:18:01,959 Speaker 2: a lot of reaction. Though here in California, we already 335 00:18:01,960 --> 00:18:06,480 Speaker 2: have a ballot measure that passed in nineteen ninety six Prop. 336 00:18:06,560 --> 00:18:10,320 Speaker 2: Two oh nine that quote bans affirmative action at public 337 00:18:10,320 --> 00:18:14,320 Speaker 2: campuses and in public hiring and all that kind of stuff. However, 338 00:18:14,640 --> 00:18:16,840 Speaker 2: you and I have talked about this a lot over 339 00:18:16,840 --> 00:18:19,320 Speaker 2: the years. By the way, this case came out of 340 00:18:19,359 --> 00:18:21,440 Speaker 2: a couple of schools, Harvard and I think the University 341 00:18:21,440 --> 00:18:25,560 Speaker 2: of North Carolina, particularly Asian American students, felt like they 342 00:18:25,560 --> 00:18:29,480 Speaker 2: were getting short shrifted by affirmative action policies favoring other races, 343 00:18:29,520 --> 00:18:33,200 Speaker 2: and statistically they proved it, and Harvard had to admit, Yeah, those. 344 00:18:33,080 --> 00:18:36,920 Speaker 1: Are the statistics. That's the thing. Harvard was forced to admit, Yeah, 345 00:18:36,960 --> 00:18:38,200 Speaker 1: this is what we did well. 346 00:18:38,240 --> 00:18:40,440 Speaker 2: Harvard tried to say, oh, no, it's only a positive 347 00:18:40,480 --> 00:18:42,919 Speaker 2: factor in admissions, it's never a negative thing, like to 348 00:18:42,960 --> 00:18:45,639 Speaker 2: be Asian. But even Chief Justice Roberts says that that 349 00:18:45,680 --> 00:18:47,080 Speaker 2: doesn't hold up under scrutiny. 350 00:18:47,119 --> 00:18:48,919 Speaker 1: No, when you looked at the numbers, I forgot what 351 00:18:49,000 --> 00:18:55,440 Speaker 1: it was. But you could be an Asian student in 352 00:18:55,560 --> 00:18:59,000 Speaker 1: like the second or third death style, you know how 353 00:18:59,040 --> 00:19:04,680 Speaker 1: they yes, they have ten categories on how you do, 354 00:19:05,000 --> 00:19:07,320 Speaker 1: and you had less of a chance of getting in 355 00:19:07,720 --> 00:19:11,520 Speaker 1: than a black student who was in the eighth death style. 356 00:19:12,280 --> 00:19:15,119 Speaker 1: All right, so it's something like that. And so so 357 00:19:15,240 --> 00:19:18,399 Speaker 1: it's clear that that they weren't they weren't using merit. 358 00:19:18,640 --> 00:19:21,000 Speaker 1: They were just using the color of skin. Here, the 359 00:19:21,080 --> 00:19:24,280 Speaker 1: numbers didn't add up. They were Harvard's numbers, there were 360 00:19:24,359 --> 00:19:28,200 Speaker 1: University of North Carolina numbers. And Asians are a minority 361 00:19:28,200 --> 00:19:31,360 Speaker 1: two I don't think that. I don't think the country's 362 00:19:31,400 --> 00:19:37,680 Speaker 1: fifty one percent Asian. And this was just unfair discrimination 363 00:19:38,520 --> 00:19:43,320 Speaker 1: against Asian students who statistically do better than everybody else. 364 00:19:45,440 --> 00:19:48,680 Speaker 1: I mean, if there's a place where merit should matter, 365 00:19:48,760 --> 00:19:52,080 Speaker 1: it should be at the elite universities. Otherwise what makes 366 00:19:52,119 --> 00:19:54,560 Speaker 1: them elite? Then now, back. 367 00:19:54,359 --> 00:19:56,960 Speaker 2: Here in California, we said they would probably find a 368 00:19:57,000 --> 00:20:01,320 Speaker 2: way around this and do this anyway, and apparently well. 369 00:20:01,400 --> 00:20:07,400 Speaker 2: Footage has surfaced online of Irwin Schimerinsky, the UC Berkeley 370 00:20:07,560 --> 00:20:12,480 Speaker 2: law dean, claiming that he does discriminate when hiring faculty 371 00:20:12,520 --> 00:20:15,080 Speaker 2: for the sake of diversity, but it's all done off 372 00:20:15,119 --> 00:20:20,480 Speaker 2: the record, calling it unstated affirmative action achieved when a 373 00:20:20,480 --> 00:20:24,680 Speaker 2: college or university doesn't tell anybody, doesn't make any public statements. 374 00:20:24,359 --> 00:20:26,760 Speaker 1: About actually doing it. Quote. 375 00:20:26,760 --> 00:20:28,919 Speaker 2: If I'm ever deposed, I'm gonna deny I said this 376 00:20:28,960 --> 00:20:29,560 Speaker 2: to you. 377 00:20:29,560 --> 00:20:32,560 Speaker 1: You know, it's great this guy, and he's always been 378 00:20:33,119 --> 00:20:37,440 Speaker 1: this pretentious jackass. To put it mildly, he was an 379 00:20:37,440 --> 00:20:41,000 Speaker 1: a CLU guy, he admits, in this class so when 380 00:20:41,000 --> 00:20:44,000 Speaker 1: you go inside these professor's classrooms, he'd be shocked to 381 00:20:44,000 --> 00:20:45,960 Speaker 1: find out what's going on. I got a few stories 382 00:20:45,960 --> 00:20:48,399 Speaker 1: that my kids told me. It's like it would it 383 00:20:48,400 --> 00:20:54,119 Speaker 1: would just turn your hair white. And Chimerinsky admits he 384 00:20:54,200 --> 00:20:59,240 Speaker 1: discriminates that he's racist, that he's picking people based on color. 385 00:20:59,400 --> 00:21:02,840 Speaker 1: So he's a racist. And this guy's a law professor, 386 00:21:02,880 --> 00:21:06,120 Speaker 1: he's the dean of Berkeley Law. If he's deposed, he'll 387 00:21:06,119 --> 00:21:08,119 Speaker 1: commit perjury, He'll lie. 388 00:21:08,680 --> 00:21:11,159 Speaker 2: He told Fox News, I'm sad that someone took a 389 00:21:11,200 --> 00:21:14,000 Speaker 2: video of my class discussion and excerpted it in this way. 390 00:21:14,200 --> 00:21:16,879 Speaker 2: The law school strictly complies with Prop. Two oh nine 391 00:21:17,000 --> 00:21:19,040 Speaker 2: in all of its hiring and admissions decisions. 392 00:21:19,160 --> 00:21:19,760 Speaker 1: So there he is. 393 00:21:19,800 --> 00:21:22,760 Speaker 2: He's denying it, right, Yeah, no, so he's not under oath. 394 00:21:22,800 --> 00:21:25,679 Speaker 1: But that was an interview, so he's he is a 395 00:21:25,840 --> 00:21:28,880 Speaker 1: racist liar who is telling his students that he would 396 00:21:28,920 --> 00:21:32,919 Speaker 1: commit perjury, telling his students that he discriminates based on color. 397 00:21:33,800 --> 00:21:36,399 Speaker 1: But if he gets an Asian student, because an Asian 398 00:21:36,440 --> 00:21:39,960 Speaker 1: student has a different complexion, a different amount of melanin 399 00:21:40,440 --> 00:21:45,280 Speaker 1: in his skin, then then he gets punished, even though 400 00:21:45,320 --> 00:21:50,879 Speaker 1: his record academically might be superior. Well that's that's disgusting 401 00:21:50,920 --> 00:21:53,399 Speaker 1: and despicable. And by the way, it's against the law. 402 00:21:54,200 --> 00:21:56,639 Speaker 2: As I read one colin and said, admissions is a 403 00:21:56,720 --> 00:21:59,800 Speaker 2: zero sum game. Somebody they only have so many seats, 404 00:21:59,800 --> 00:22:02,040 Speaker 2: like I'll get in. So if somebody gets in, somebody 405 00:22:02,080 --> 00:22:04,560 Speaker 2: doesn't get in. So yeah, if you favor somebody because 406 00:22:04,560 --> 00:22:06,879 Speaker 2: of race, you may have to end up denying somebody. 407 00:22:06,880 --> 00:22:09,920 Speaker 1: By the way, the Civil Rights Act of nineteen sixty 408 00:22:09,960 --> 00:22:13,600 Speaker 1: four already banned all this sort of behavior. And everybody 409 00:22:13,640 --> 00:22:17,320 Speaker 1: did this tap dance and played pretend all these decades. 410 00:22:17,760 --> 00:22:21,040 Speaker 1: But it was always wrong, it was always illegal, it 411 00:22:21,160 --> 00:22:29,720 Speaker 1: was always a constitutionally discriminatory It's always was and now 412 00:22:29,960 --> 00:22:32,200 Speaker 1: you know, eventually everybody got tired of it. So you 413 00:22:32,440 --> 00:22:36,280 Speaker 1: take your racism somewhere else. You haven't dare I mean really, 414 00:22:37,200 --> 00:22:39,960 Speaker 1: I mean, you know what, We'll figure out how to compete, 415 00:22:40,160 --> 00:22:42,520 Speaker 1: figure out how to fix the schools in a lot 416 00:22:42,520 --> 00:22:43,359 Speaker 1: of these districts. 417 00:22:44,920 --> 00:22:48,320 Speaker 2: And they tried to repeal Prop two nine and twenty twenty. 418 00:22:48,440 --> 00:22:51,720 Speaker 2: The state voters rejected that fifty seven percent to forty 419 00:22:51,760 --> 00:22:54,919 Speaker 2: three percent. So, even more recently than the nineteen ninety 420 00:22:54,920 --> 00:22:57,560 Speaker 2: six law, Californians made a clans. 421 00:22:57,200 --> 00:22:59,640 Speaker 1: And artists, we don't believe in this. It's an artifact 422 00:22:59,680 --> 00:23:04,240 Speaker 1: from an another racist time. It's it's it's exactly what 423 00:23:04,320 --> 00:23:06,879 Speaker 1: they claimed to be getting rid of to get rid 424 00:23:06,920 --> 00:23:09,960 Speaker 1: of racism, they just installed another form of racism with 425 00:23:10,000 --> 00:23:13,960 Speaker 1: different victims. But that being said, though the last time 426 00:23:13,960 --> 00:23:15,920 Speaker 1: I went to the Berkeley campus, I saw plenty of 427 00:23:15,960 --> 00:23:19,399 Speaker 1: Asian students. So even though several insciples saying that we 428 00:23:19,440 --> 00:23:21,520 Speaker 1: have our ways of making sure the thing well, the 429 00:23:21,520 --> 00:23:24,640 Speaker 1: thing that's the problem, so many Asian students do well 430 00:23:25,280 --> 00:23:29,479 Speaker 1: that I remember reading that what Harvard I believe it 431 00:23:29,520 --> 00:23:32,520 Speaker 1: was Harvard. What they would do is they came up 432 00:23:32,560 --> 00:23:38,720 Speaker 1: with a personality analysis system. And so the interviewers because 433 00:23:38,760 --> 00:23:43,080 Speaker 1: a lot of times they would deputize alumni. I knew 434 00:23:43,119 --> 00:23:48,359 Speaker 1: people who people who live here who were interviewers for 435 00:23:48,440 --> 00:23:52,200 Speaker 1: whatever school they attended. So if you had Los Angeles 436 00:23:52,240 --> 00:23:55,800 Speaker 1: candidates for you know, school X, they would do the 437 00:23:55,840 --> 00:23:58,000 Speaker 1: interviews and what they were told to do is rate 438 00:23:58,080 --> 00:24:01,480 Speaker 1: the person's personality. And so a lot of the Asian 439 00:24:01,520 --> 00:24:04,119 Speaker 1: students had and this was in black and white on 440 00:24:04,160 --> 00:24:07,480 Speaker 1: the forums. It's like has has no personality, no personality. 441 00:24:07,520 --> 00:24:09,720 Speaker 1: They're very bland. You know, it's an Asian stereotype, right 442 00:24:10,359 --> 00:24:12,359 Speaker 1: that they were there were robots or something. That's what 443 00:24:12,400 --> 00:24:16,399 Speaker 1: they would write in these sheets. Not humorless, right, yeah, humorless. 444 00:24:16,720 --> 00:24:20,480 Speaker 1: And and the story was that behind the scenes, the 445 00:24:20,520 --> 00:24:25,160 Speaker 1: admissions people were afraid that the Asians were not going 446 00:24:25,200 --> 00:24:26,919 Speaker 1: to show up at the football games and cheer for 447 00:24:26,960 --> 00:24:29,439 Speaker 1: the team that they weren't going to get involved in 448 00:24:29,560 --> 00:24:35,120 Speaker 1: like the Friday night activity, Friday night rowdy partying and fraternities. 449 00:24:35,119 --> 00:24:37,639 Speaker 1: That's right. They actually, you know, they had meetings about this, 450 00:24:38,400 --> 00:24:41,080 Speaker 1: so they're looking at these scores and then they decided 451 00:24:41,119 --> 00:24:44,359 Speaker 1: that that the Asian students had like some personality problem 452 00:24:44,440 --> 00:24:46,720 Speaker 1: and wrote it down. It was in the evidence. 453 00:24:49,440 --> 00:24:53,080 Speaker 2: All right, Well, the activists strike back over this decision 454 00:24:53,680 --> 00:24:57,280 Speaker 2: with a brand new legal case, and they might I'm 455 00:24:57,359 --> 00:24:58,760 Speaker 2: saying they might have a point. 456 00:24:59,320 --> 00:25:00,199 Speaker 1: We'll talk about it next. 457 00:25:00,280 --> 00:25:04,080 Speaker 2: John and Ken KFI AM six forty Live everywhere iHeartRadio app. 458 00:25:04,840 --> 00:25:08,200 Speaker 3: You're listening to John and Ken on demand from KFI 459 00:25:08,440 --> 00:25:09,399 Speaker 3: AM six forty. 460 00:25:12,640 --> 00:25:15,240 Speaker 1: We're live one to four after four o'clock. Go to 461 00:25:15,720 --> 00:25:18,720 Speaker 1: the iHeart app Johnny Ken on demand the podcast, listen 462 00:25:18,800 --> 00:25:19,920 Speaker 1: to what you missed, and. 463 00:25:20,119 --> 00:25:23,880 Speaker 2: Please connect to the Moistline through the app the microphone icon, 464 00:25:23,960 --> 00:25:27,199 Speaker 2: leave a message for Friday's play of Moistline calls or 465 00:25:27,359 --> 00:25:29,400 Speaker 2: dial up the toll free number one eight seven seven 466 00:25:29,480 --> 00:25:33,040 Speaker 2: moist eighty six one eight seven seven six six four 467 00:25:33,640 --> 00:25:36,840 Speaker 2: seven eight eight six. I think the Dodgers are planning 468 00:25:36,840 --> 00:25:39,080 Speaker 2: a drone show too, John after a game coming up? 469 00:25:40,000 --> 00:25:45,200 Speaker 4: Oh, no, Friday, the Angels, what's going on? Eric will 470 00:25:45,200 --> 00:25:46,960 Speaker 4: be there, he likes drones show. I wish I was 471 00:25:47,000 --> 00:25:50,440 Speaker 4: gonna be there. You got tickets, Ken, you can get tickets. 472 00:25:51,240 --> 00:25:52,800 Speaker 4: Why can't you get tickets? You've got to go shake 473 00:25:52,840 --> 00:25:54,600 Speaker 4: down the people. I know, I know, I know. 474 00:25:54,880 --> 00:25:57,720 Speaker 2: Oh yeah, the Dodger station down the hall, just to 475 00:25:58,000 --> 00:25:58,480 Speaker 2: shake down. 476 00:25:58,520 --> 00:26:00,320 Speaker 1: You don't have to take care of me. You don't 477 00:26:00,320 --> 00:26:02,320 Speaker 1: have to pay for anything. I'll bet they do. You're 478 00:26:02,320 --> 00:26:04,399 Speaker 1: the Duke of sports. Yeah, no, Dave Wiese is the 479 00:26:04,440 --> 00:26:07,359 Speaker 1: man's right. I wouldn't be here without Dave Weez. You 480 00:26:07,400 --> 00:26:09,640 Speaker 1: do you have a press credential for being the Duke 481 00:26:09,680 --> 00:26:10,160 Speaker 1: of sports? 482 00:26:10,240 --> 00:26:10,320 Speaker 2: No? 483 00:26:10,440 --> 00:26:12,200 Speaker 1: I wish, Oh you should get that. Yeah, I need 484 00:26:12,200 --> 00:26:13,719 Speaker 1: to talk to David. They give out They give out 485 00:26:13,760 --> 00:26:15,879 Speaker 1: those to anybody. Now, how many followers do you have 486 00:26:16,359 --> 00:26:19,479 Speaker 1: on which plan whatever? Twitter or whatever? Twitter? I have 487 00:26:19,600 --> 00:26:21,400 Speaker 1: over thirteen hundred followers. 488 00:26:21,520 --> 00:26:23,840 Speaker 2: All right, and you're also on TikTok and all that. 489 00:26:23,920 --> 00:26:27,400 Speaker 4: Not TikTok but Instagram. I have over fifteen hundred. That's 490 00:26:27,440 --> 00:26:30,520 Speaker 4: a following. Yeah, we just gave you a plug. Thank you, 491 00:26:30,600 --> 00:26:31,320 Speaker 4: Duke of Sports. 492 00:26:32,280 --> 00:26:34,239 Speaker 2: We were just talking about the decision by the US 493 00:26:34,280 --> 00:26:37,600 Speaker 2: Supreme Court concerning affirmative actions, striking it down. Of course, 494 00:26:37,640 --> 00:26:41,160 Speaker 2: again California already did that in two thousand and six 495 00:26:41,200 --> 00:26:45,040 Speaker 2: and again in twenty twenty with a ballot vote. But 496 00:26:45,240 --> 00:26:48,720 Speaker 2: there is a Right after that happened, a civil rights 497 00:26:48,720 --> 00:26:51,800 Speaker 2: group immediately went to work with a new lawsuit because 498 00:26:51,800 --> 00:26:54,359 Speaker 2: a lot of this came out of Harvard with Asian 499 00:26:54,359 --> 00:26:59,520 Speaker 2: American students. They're challenging what is known as legacy admissions. 500 00:27:00,080 --> 00:27:04,119 Speaker 2: Legacy admissions basically means if you have wealthy parents who 501 00:27:04,200 --> 00:27:06,280 Speaker 2: did go to the school and are big donors to 502 00:27:06,359 --> 00:27:08,800 Speaker 2: the school, well then your kid is going to get 503 00:27:08,840 --> 00:27:09,280 Speaker 2: a leg up. 504 00:27:09,359 --> 00:27:12,320 Speaker 1: Oh they should get rid of that absolutely because that discrimina. 505 00:27:12,440 --> 00:27:12,960 Speaker 1: So I did too. 506 00:27:13,000 --> 00:27:14,359 Speaker 2: I thought so too. I didn't know what you would 507 00:27:14,359 --> 00:27:16,960 Speaker 2: say because Harvard, being a private school, can do it 508 00:27:16,960 --> 00:27:17,560 Speaker 2: at once. 509 00:27:17,480 --> 00:27:20,560 Speaker 1: Mostly Well yeah, I guess they can do what it wants. 510 00:27:20,600 --> 00:27:23,600 Speaker 1: But none of these none of these schools are really private. 511 00:27:23,600 --> 00:27:26,720 Speaker 1: They all accept government money. They do it, and that 512 00:27:26,920 --> 00:27:28,760 Speaker 1: was that was the folks. But they also raise a 513 00:27:28,840 --> 00:27:31,640 Speaker 1: lot of money from wealthy Yeah, I know, that's that's 514 00:27:31,640 --> 00:27:34,800 Speaker 1: why I want to see the screws put to everybody here. 515 00:27:35,520 --> 00:27:38,359 Speaker 1: The only reason these people donate money, it's not because 516 00:27:38,400 --> 00:27:41,080 Speaker 1: they love Harvard. It's because they want to bribe Harvard 517 00:27:41,600 --> 00:27:44,640 Speaker 1: to take their kids. They're DoD Yeah, they're done. Yes, 518 00:27:44,720 --> 00:27:48,720 Speaker 1: believe me, I personally know dud children who got into 519 00:27:48,720 --> 00:27:53,000 Speaker 1: elite schools only because their parents either were alumni or 520 00:27:53,080 --> 00:27:54,080 Speaker 1: donated a lot of money. 521 00:27:54,080 --> 00:27:55,600 Speaker 2: Well, did you follow that up and see how they 522 00:27:55,600 --> 00:27:58,600 Speaker 2: performed or how they perform? Yeah? Did they drop out? 523 00:27:58,600 --> 00:28:00,320 Speaker 2: Did they do well? Did they going to do job 524 00:28:00,359 --> 00:28:02,040 Speaker 2: after that? I'm just get curious how that ends up. 525 00:28:02,080 --> 00:28:04,359 Speaker 1: You get protected in that environment, You just get like 526 00:28:04,440 --> 00:28:05,040 Speaker 1: moved along. 527 00:28:05,160 --> 00:28:07,600 Speaker 2: If you have then you get you probably get hired 528 00:28:07,600 --> 00:28:11,600 Speaker 2: even though you were you work for dad's company, and 529 00:28:11,640 --> 00:28:12,040 Speaker 2: he gets that. 530 00:28:12,160 --> 00:28:16,000 Speaker 1: There's always like dud jobs that sons get in their 531 00:28:16,080 --> 00:28:16,800 Speaker 1: dad's company. 532 00:28:17,280 --> 00:28:21,679 Speaker 2: Yes, USC reported that fourteen percent of last year's admitted 533 00:28:21,720 --> 00:28:25,080 Speaker 2: students had they described it as family ties to alumni 534 00:28:25,119 --> 00:28:25,720 Speaker 2: or donors. 535 00:28:26,040 --> 00:28:28,520 Speaker 1: It's a complete Stanford reported a similar rate. No, I 536 00:28:29,119 --> 00:28:31,960 Speaker 1: understand it's impossible to compete. And and you know you 537 00:28:32,600 --> 00:28:36,160 Speaker 1: talk to the guidance chedclers actually tell you at at 538 00:28:36,160 --> 00:28:40,360 Speaker 1: these schools that you know. They worn't it very carefully though, 539 00:28:40,400 --> 00:28:43,960 Speaker 1: because they don't want anything on paper or recorded. They 540 00:28:44,000 --> 00:28:46,600 Speaker 1: have a euphemistic way of letting you know that you've 541 00:28:46,640 --> 00:28:49,160 Speaker 1: got to donate some pretty serious money to get your 542 00:28:49,240 --> 00:28:51,080 Speaker 1: kid into a school like this, and it doesn't matter 543 00:28:51,120 --> 00:28:55,840 Speaker 1: what your kid's grades are or SAT scores, because you know, 544 00:28:55,880 --> 00:28:57,920 Speaker 1: there's a there's a large percentage of kids that get 545 00:28:57,920 --> 00:29:01,560 Speaker 1: there automatically. And I remember having conversations My wife would say, oh, 546 00:29:01,600 --> 00:29:03,920 Speaker 1: so and so got here, and I go, oh, come on, 547 00:29:04,200 --> 00:29:07,480 Speaker 1: well you know the dad? Oh yeah, right, okay, Because 548 00:29:07,520 --> 00:29:11,000 Speaker 1: I know these kids since they were five years old, right, 549 00:29:11,080 --> 00:29:13,760 Speaker 1: and suddenly at eighteen and then they're getting into an 550 00:29:13,760 --> 00:29:16,000 Speaker 1: elite school, I would go get out of here. 551 00:29:16,640 --> 00:29:19,720 Speaker 2: That We talked about this during the whole admissions college 552 00:29:19,720 --> 00:29:21,560 Speaker 2: admission scandal. I said, well, why do you need to 553 00:29:21,560 --> 00:29:23,280 Speaker 2: get them on the pretend they're on the rowing team 554 00:29:23,320 --> 00:29:25,160 Speaker 2: or whatever. Don't you just donate a lot of money 555 00:29:25,200 --> 00:29:27,200 Speaker 2: to get them in because these are wealthy celebrities and stuff. 556 00:29:27,240 --> 00:29:27,520 Speaker 3: I thought. 557 00:29:27,520 --> 00:29:28,840 Speaker 2: I thought that's the way they would do it. Just 558 00:29:28,880 --> 00:29:31,000 Speaker 2: do it the old fashioned way. Don't hold a lot 559 00:29:31,000 --> 00:29:33,280 Speaker 2: of money and get legacy admissions, right. Instead, they use 560 00:29:33,360 --> 00:29:36,640 Speaker 2: the middleman. Yeah, they used that guy who who passed. 561 00:29:36,640 --> 00:29:39,360 Speaker 2: They were some sort of athletes, right, I didn't get that. 562 00:29:39,800 --> 00:29:42,320 Speaker 1: Hey, look at this, this is really exciting. Fred Rogan 563 00:29:42,440 --> 00:29:43,960 Speaker 1: is here in for Tim Conway. 564 00:29:44,880 --> 00:29:47,040 Speaker 5: You know, it's interesting to me. First of all, to 565 00:29:47,120 --> 00:29:52,080 Speaker 5: have an opportunity to be on KFI really is a 566 00:29:52,080 --> 00:29:54,440 Speaker 5: moment of a lifetime. And I'm being dead serious. 567 00:29:54,560 --> 00:29:54,880 Speaker 1: Oh wow. 568 00:29:55,200 --> 00:29:58,480 Speaker 5: The other thing that's really cool. This is the first 569 00:29:58,480 --> 00:30:00,960 Speaker 5: time I've seen you not at the urinal. 570 00:30:03,560 --> 00:30:07,200 Speaker 1: It looks the same thing. Well, you might want to explain. 571 00:30:06,840 --> 00:30:13,000 Speaker 5: That every time. Every time, every time I run into you, 572 00:30:13,000 --> 00:30:15,880 Speaker 5: you're at the urinal and we just kind of look 573 00:30:15,880 --> 00:30:18,600 Speaker 5: at each other. Okay, because I'm going down the hall 574 00:30:18,640 --> 00:30:22,440 Speaker 5: to KLAC. So this is uncomfortable. Yes, I'm being honest. 575 00:30:22,480 --> 00:30:25,120 Speaker 5: And you wonder why why would they use the middleman 576 00:30:25,240 --> 00:30:27,160 Speaker 5: when they were paying to get these kids in school, 577 00:30:27,200 --> 00:30:29,080 Speaker 5: yet they were saying they were on the rowing team. 578 00:30:29,640 --> 00:30:31,920 Speaker 5: Do you guys know better than anybody in this market 579 00:30:31,920 --> 00:30:35,040 Speaker 5: because you've done it so long. Everybody's got a guy. Yeah, 580 00:30:35,200 --> 00:30:38,880 Speaker 5: everybody's got a guy. You go with your guys and 581 00:30:38,920 --> 00:30:41,480 Speaker 5: you know what, they'll handle it. You don't want your 582 00:30:41,600 --> 00:30:45,280 Speaker 5: hands dirty. Despite the fact, you've never competed a second 583 00:30:45,280 --> 00:30:49,320 Speaker 5: in your life and really have trouble standing up. You're 584 00:30:49,360 --> 00:30:53,080 Speaker 5: a champion rower. Now it's a lot easier. 585 00:30:53,200 --> 00:30:53,520 Speaker 1: Listen. 586 00:30:53,600 --> 00:30:55,520 Speaker 5: I'm not telling anybody how to run their life. It's 587 00:30:55,520 --> 00:30:58,360 Speaker 5: not my business. It really is a lot easier just 588 00:30:58,400 --> 00:31:01,280 Speaker 5: to write a check. Yes, And then I don't know 589 00:31:01,280 --> 00:31:01,960 Speaker 5: how this got here. 590 00:31:02,160 --> 00:31:05,280 Speaker 1: Yeah, right, you know you don't. You don't end up 591 00:31:05,280 --> 00:31:07,520 Speaker 1: in prison that way. I know somebody who got sucked 592 00:31:07,520 --> 00:31:10,920 Speaker 1: into that scandal, do you, And yeah, and ended up 593 00:31:10,920 --> 00:31:14,120 Speaker 1: in jail really yeah, in the big scandal. Yeah, there 594 00:31:14,160 --> 00:31:16,160 Speaker 1: was somebody in our school. 595 00:31:16,400 --> 00:31:20,320 Speaker 5: So our son played college basketball and he has since graduated, 596 00:31:20,360 --> 00:31:23,080 Speaker 5: graduated from Chapman, by the way, and Chapman is a 597 00:31:23,160 --> 00:31:26,080 Speaker 5: very good school. And they asked, you know, it's a 598 00:31:26,160 --> 00:31:28,400 Speaker 5: high academic school. You've got to have good scores to 599 00:31:28,400 --> 00:31:31,440 Speaker 5: get in there. And somebody said to me, what's his GPA? 600 00:31:31,600 --> 00:31:33,960 Speaker 5: And I said, well, his GPA is eighteen point two 601 00:31:34,080 --> 00:31:35,200 Speaker 5: and we've never heard. 602 00:31:35,080 --> 00:31:35,520 Speaker 1: Of that before. 603 00:31:35,560 --> 00:31:37,000 Speaker 5: And I said, well, that's how many points a game 604 00:31:37,040 --> 00:31:42,440 Speaker 5: he scores. But we had had a conversation at USC 605 00:31:42,600 --> 00:31:44,560 Speaker 5: because they were interested in bringing them in as a 606 00:31:44,560 --> 00:31:50,160 Speaker 5: preferred walk on, and it was never stated explicitly, but 607 00:31:50,280 --> 00:31:54,600 Speaker 5: in that conversation there was a hint or a suggestion 608 00:31:54,880 --> 00:31:59,000 Speaker 5: that you know the building fund here, you know. 609 00:31:58,920 --> 00:32:02,640 Speaker 1: What I mean. Stations are fascinating because nobody wants to 610 00:32:02,680 --> 00:32:06,040 Speaker 1: be explicit, right, So they talk in circles, they talk 611 00:32:06,160 --> 00:32:08,160 Speaker 1: like in a fog, and you're supposed to decode what 612 00:32:08,200 --> 00:32:09,000 Speaker 1: they're trying to tell you. 613 00:32:09,080 --> 00:32:11,479 Speaker 5: Yeah, because then they didn't say it, right. You can 614 00:32:11,520 --> 00:32:13,680 Speaker 5: never be on the record saying so I didn't say no. 615 00:32:13,840 --> 00:32:16,800 Speaker 5: If you if you thought I meant something, well that's 616 00:32:16,840 --> 00:32:18,959 Speaker 5: on you, right, But you never heard that come out 617 00:32:19,000 --> 00:32:19,520 Speaker 5: of my mind. 618 00:32:19,400 --> 00:32:20,480 Speaker 1: Just in case it's recorded. 619 00:32:21,120 --> 00:32:24,680 Speaker 5: So anyway, this is so cool to be on after 620 00:32:24,720 --> 00:32:27,160 Speaker 5: you guys today and Tim Slot to fill in, because. 621 00:32:27,000 --> 00:32:27,760 Speaker 1: What are you gonna do with it? 622 00:32:27,800 --> 00:32:27,960 Speaker 3: Then? 623 00:32:28,040 --> 00:32:29,560 Speaker 1: Well, I'm gonna screw around. I don't know. 624 00:32:29,640 --> 00:32:31,120 Speaker 5: I mean I was gonna come on here and they 625 00:32:31,160 --> 00:32:33,000 Speaker 5: told me to go and have your show and have fun. 626 00:32:33,040 --> 00:32:34,760 Speaker 5: And the first thing we got is a Sheriff's department 627 00:32:34,800 --> 00:32:36,560 Speaker 5: news conference coming up at four o'clock. 628 00:32:36,640 --> 00:32:38,280 Speaker 1: There's a lot of laughs here some days. 629 00:32:38,640 --> 00:32:40,479 Speaker 5: But but you know, I've listened to you guys for 630 00:32:40,520 --> 00:32:43,040 Speaker 5: so long and you are such icons in the market. 631 00:32:43,160 --> 00:32:46,120 Speaker 5: Thank you, and Tim has done such a magnificent job 632 00:32:46,160 --> 00:32:49,200 Speaker 5: and built his audience. I'm just honored beyond belief to 633 00:32:49,200 --> 00:32:51,280 Speaker 5: be able to sit here today. I've always wanted to 634 00:32:51,280 --> 00:32:54,000 Speaker 5: do news, so this is an opportunity for me to 635 00:32:54,240 --> 00:32:55,720 Speaker 5: fly up the flagpole. 636 00:32:55,680 --> 00:32:58,920 Speaker 2: Sports television icons, so this is just a whole group 637 00:32:58,960 --> 00:32:59,680 Speaker 2: of icons here. 638 00:33:00,120 --> 00:33:03,920 Speaker 1: Well, well, I have a good time. Thanks all right, Yeah, 639 00:33:04,080 --> 00:33:06,920 Speaker 1: my friend Rogan coming up next for Tim Conway and 640 00:33:07,040 --> 00:33:08,800 Speaker 1: Krozer's got the news live in the twenty four hour 641 00:33:08,880 --> 00:33:09,560 Speaker 1: Cafie news Room.