1 00:00:00,120 --> 00:00:04,760 Speaker 1: Hi, welcome everybody. We got keywords another day for you 2 00:00:04,840 --> 00:00:07,560 Speaker 1: to win a thousand dollars, said two twenty, we'll reveal 3 00:00:07,600 --> 00:00:09,719 Speaker 1: the first keyword of the afternoon. We'll continue that twenty 4 00:00:09,720 --> 00:00:13,280 Speaker 1: after each hour. The moistline is back. We've got people 5 00:00:13,320 --> 00:00:15,000 Speaker 1: lined up. I don't they're gonna talk about the elections 6 00:00:15,040 --> 00:00:17,560 Speaker 1: or what they're gonna talk about. That'll happen in the 7 00:00:17,680 --> 00:00:23,880 Speaker 1: five o'clock hour. We're expecting another vote count dump from 8 00:00:24,040 --> 00:00:26,680 Speaker 1: La County. It was a bit of a surprise that 9 00:00:26,760 --> 00:00:29,560 Speaker 1: they dumped some votes yesterday because they got announced it 10 00:00:29,560 --> 00:00:32,760 Speaker 1: was going to come Friday. So when I saw that, 11 00:00:32,880 --> 00:00:35,720 Speaker 1: I thought they weren't going to release anymore. But apparently 12 00:00:35,800 --> 00:00:40,840 Speaker 1: they are going to. It's holiday though. The government workers. 13 00:00:40,920 --> 00:00:43,919 Speaker 1: I've seen everybody everywhere today like it was the weekend. 14 00:00:44,560 --> 00:00:47,239 Speaker 1: Oh yeah, I must live near old government workers. I 15 00:00:47,280 --> 00:00:49,960 Speaker 1: saw school children, which I understand they closed the schools today, 16 00:00:50,000 --> 00:00:53,120 Speaker 1: but I saw a lot of adults just walking around 17 00:00:53,120 --> 00:00:58,960 Speaker 1: doing nothing like it was Oh yeah, zombie cubical workers. Well, yeah, 18 00:00:59,080 --> 00:01:02,760 Speaker 1: government's right. This is not a holiday for most companies. No, 19 00:01:03,120 --> 00:01:05,360 Speaker 1: I love No, it's Veterans Day though, No, it's a 20 00:01:05,360 --> 00:01:08,839 Speaker 1: government holiday. Yeah, I thought that was gonna be Monday. 21 00:01:08,880 --> 00:01:11,399 Speaker 1: I thought they just did Monday recognition. They never did 22 00:01:11,440 --> 00:01:14,240 Speaker 1: that Veterans Day. That has some historical significant because it's 23 00:01:14,240 --> 00:01:18,280 Speaker 1: eleven eleven. Uh, something happened on November eleventh and I 24 00:01:18,319 --> 00:01:20,800 Speaker 1: forgot I see, but then I don't remember this in 25 00:01:20,880 --> 00:01:23,680 Speaker 1: past years. But uh, but the thing is, why are 26 00:01:23,720 --> 00:01:27,360 Speaker 1: government workers getting off? I mean something special for not? 27 00:01:28,440 --> 00:01:32,080 Speaker 1: Oh yeah, federal workers are off today. Take a look 28 00:01:32,120 --> 00:01:34,440 Speaker 1: at the live feed. They're at there, working away in 29 00:01:34,480 --> 00:01:38,440 Speaker 1: the La County Registrate's office. I sent you the link there. 30 00:01:38,440 --> 00:01:43,120 Speaker 1: They thanks? Did you check it out? The Treaty of Versailles? 31 00:01:43,240 --> 00:01:46,920 Speaker 1: Is that the yes, thank you. That's the reason it's 32 00:01:46,920 --> 00:01:54,040 Speaker 1: November eleventh. Moving on the the they were working, so 33 00:01:54,120 --> 00:01:56,520 Speaker 1: they're not all Yeah, but they're not state workers, they're 34 00:01:56,560 --> 00:02:00,200 Speaker 1: county work. Well, you said government workers, government workers? Eight 35 00:02:00,200 --> 00:02:02,680 Speaker 1: in federal government workers you're getting off today? Yes, there's 36 00:02:02,680 --> 00:02:06,000 Speaker 1: no mail delivery today, but not county workers. Well, I 37 00:02:06,040 --> 00:02:10,959 Speaker 1: don't know. I specifically checked for state and federal today. Well, 38 00:02:11,000 --> 00:02:14,280 Speaker 1: it's an official video stream that a listener forward. That's 39 00:02:14,280 --> 00:02:17,720 Speaker 1: the Los Angeles County Registrar recorder, county clerk and you 40 00:02:17,760 --> 00:02:21,560 Speaker 1: can see them. There's two camera feeds. There's just people 41 00:02:22,160 --> 00:02:25,560 Speaker 1: walking around. Some are sitting at desks. I guess they're 42 00:02:25,600 --> 00:02:29,200 Speaker 1: sorting through the mail ballots. That there's these big bins 43 00:02:29,240 --> 00:02:32,320 Speaker 1: and carts that they're moving around. And there they are, 44 00:02:32,840 --> 00:02:36,560 Speaker 1: they're working away at the vote count Um listeners send 45 00:02:36,560 --> 00:02:38,280 Speaker 1: this thought. They were moving very slowly. I don't know, 46 00:02:38,320 --> 00:02:40,240 Speaker 1: of course they when you run a desk, how fast 47 00:02:40,240 --> 00:02:41,760 Speaker 1: you have to move. Are they going to get fired 48 00:02:41,800 --> 00:02:45,320 Speaker 1: if they don't hit a deadline? No, they're gonna lose 49 00:02:45,360 --> 00:02:51,720 Speaker 1: any vacation time, any any medical benefits, pensions. No, they're 50 00:02:51,760 --> 00:02:55,480 Speaker 1: not going to get demoted nothing. Nothing's gonna open to them. 51 00:02:55,480 --> 00:02:57,960 Speaker 1: They don't, they don't, they can. There's no changeover in 52 00:02:58,160 --> 00:03:01,200 Speaker 1: office anyway. You don't want what does it matter? The 53 00:03:01,240 --> 00:03:05,200 Speaker 1: truth is no, No, here's what matters. No. No, this 54 00:03:05,680 --> 00:03:10,079 Speaker 1: is a perfect example. We pay god knows how many 55 00:03:10,160 --> 00:03:13,680 Speaker 1: hundreds of billions of dollars in taxes and you can't 56 00:03:13,680 --> 00:03:18,680 Speaker 1: get them to do the simplest duty counting votes. And 57 00:03:18,800 --> 00:03:22,240 Speaker 1: there's all kinds of excuses and it's all nonsense. It's 58 00:03:22,240 --> 00:03:26,440 Speaker 1: all bull crap. You know what the turnout is going 59 00:03:26,480 --> 00:03:30,200 Speaker 1: to be, give or take a little bit, you get 60 00:03:30,200 --> 00:03:32,800 Speaker 1: the employees, set the shifts, come up with the system. 61 00:03:33,760 --> 00:03:36,960 Speaker 1: I looked again today, we are by far the least 62 00:03:36,960 --> 00:03:41,440 Speaker 1: counted state. By far, it's not even close. Well, here's 63 00:03:41,440 --> 00:03:44,560 Speaker 1: my question. Every time you say that, how many states 64 00:03:45,120 --> 00:03:47,800 Speaker 1: send everybody a mail in ballot and say do what 65 00:03:47,840 --> 00:03:49,400 Speaker 1: you want? And you think a lot of them do. 66 00:03:49,440 --> 00:03:52,680 Speaker 1: But if you set that up, which that's the reason 67 00:03:52,720 --> 00:03:56,840 Speaker 1: we're slow, because that is ok, no, no, yes, And 68 00:03:56,880 --> 00:03:59,920 Speaker 1: then the second half and let me finish fish. The 69 00:04:00,120 --> 00:04:02,800 Speaker 1: second half of that is everybody seems to be dumping 70 00:04:02,800 --> 00:04:05,640 Speaker 1: them on the last day. Well, that's the other thing 71 00:04:05,640 --> 00:04:08,240 Speaker 1: that went with that. You set up that possibility. You 72 00:04:08,360 --> 00:04:11,880 Speaker 1: in government, right, but you're blaming the workers. Yes, you're 73 00:04:12,000 --> 00:04:15,120 Speaker 1: blaming the workers. Well, the workers, including the supervisors and 74 00:04:15,200 --> 00:04:18,120 Speaker 1: the people who run these these departments, right, the kind 75 00:04:18,160 --> 00:04:21,159 Speaker 1: of registrar's office. You know what what the laws are, 76 00:04:21,440 --> 00:04:24,279 Speaker 1: you know what the habits of people are. Therefore, you 77 00:04:24,320 --> 00:04:27,640 Speaker 1: have to build a system that's gonna work. That's your job, 78 00:04:27,960 --> 00:04:30,599 Speaker 1: not to say, oh, well, you know, we just don't 79 00:04:30,640 --> 00:04:32,880 Speaker 1: have the resources, we don't have the time, we don't 80 00:04:32,920 --> 00:04:36,280 Speaker 1: have the man. No, no, no, no, no. You put 81 00:04:36,279 --> 00:04:39,480 Speaker 1: all this into law. This was your system. You should 82 00:04:39,560 --> 00:04:42,760 Speaker 1: create an infrastructure to handle this quickly and efficiently. That's 83 00:04:42,760 --> 00:04:47,720 Speaker 1: your job, it's not my job. But find employees right now. Oh, 84 00:04:47,880 --> 00:04:51,160 Speaker 1: b yes, there's there's there's there's plenty of employees. People. 85 00:04:51,480 --> 00:04:53,599 Speaker 1: People don't want to work for a government job. Oh 86 00:04:53,680 --> 00:04:55,839 Speaker 1: for a government work. No, no, no, they'll know the 87 00:04:55,880 --> 00:04:59,320 Speaker 1: restaurants and all the other places. And no, really, those 88 00:04:59,360 --> 00:05:00,920 Speaker 1: people you want to bring in like a million of 89 00:05:01,040 --> 00:05:04,880 Speaker 1: extra workers to grab the ballots. No, they will work 90 00:05:04,920 --> 00:05:07,760 Speaker 1: for the government because with the government you don't have 91 00:05:07,800 --> 00:05:10,560 Speaker 1: to work, but you get paid well. Right, well, they 92 00:05:10,560 --> 00:05:14,159 Speaker 1: can't hire them full time though. For all they only 93 00:05:14,160 --> 00:05:16,760 Speaker 1: come in here for that. There to temporary. No, no, no, 94 00:05:16,800 --> 00:05:19,520 Speaker 1: that's their problem. You create a system, you have to 95 00:05:19,560 --> 00:05:22,600 Speaker 1: staff the system. Otherwise, don't create the system. Okay, this 96 00:05:22,680 --> 00:05:25,320 Speaker 1: is optional. They didn't have to create this monstrosity. This 97 00:05:25,480 --> 00:05:27,760 Speaker 1: never happened before for one hundred and fifty years. This 98 00:05:27,920 --> 00:05:31,080 Speaker 1: doesn't happen in the other I could say forty seven states. 99 00:05:31,360 --> 00:05:34,240 Speaker 1: Seems to be three states that have this problem. Arizona 100 00:05:34,240 --> 00:05:37,039 Speaker 1: and Nevada have a similar problem. All ours is far worse. 101 00:05:37,200 --> 00:05:39,479 Speaker 1: I'm looking at some of the congressional races. They have 102 00:05:39,680 --> 00:05:43,440 Speaker 1: less than half the votes counted less than half and 103 00:05:43,560 --> 00:05:46,000 Speaker 1: it's Friday. It's not three days later, and more than 104 00:05:46,040 --> 00:05:48,839 Speaker 1: half the votes votes are still sitting there. Most of 105 00:05:48,880 --> 00:05:51,560 Speaker 1: the other states, people voted the old fashioned way by 106 00:05:51,680 --> 00:05:54,640 Speaker 1: machine and it got tabulated. But there were very few 107 00:05:54,680 --> 00:05:57,599 Speaker 1: people that bot I know that. But then you have 108 00:05:57,680 --> 00:06:00,719 Speaker 1: to build a system to handle the the new way. 109 00:06:00,760 --> 00:06:04,719 Speaker 1: They didn't guess what that's in Californians care. Nobody cares. 110 00:06:05,520 --> 00:06:07,200 Speaker 1: I don't hear a lot of people screaming about where 111 00:06:07,160 --> 00:06:10,279 Speaker 1: are the results? Why is it taking someone except for you? No, 112 00:06:10,480 --> 00:06:12,960 Speaker 1: I think it matters. This is symbolic of everything else 113 00:06:13,000 --> 00:06:15,520 Speaker 1: that goes wrong. This is why we can't Why would 114 00:06:15,560 --> 00:06:18,800 Speaker 1: lost thirty billion dollars in the unemployment office. This is 115 00:06:18,800 --> 00:06:25,800 Speaker 1: why they were giving money out to Scott Peterson. But no, 116 00:06:25,920 --> 00:06:27,680 Speaker 1: there is a connection. You know what it is. It's 117 00:06:27,720 --> 00:06:30,360 Speaker 1: bureaucratic stupidity and a competence. That's what it is. It's 118 00:06:30,720 --> 00:06:35,360 Speaker 1: billions and billions of wasted tax money. It's fraud, it's 119 00:06:35,360 --> 00:06:38,240 Speaker 1: all that stuff. This is just another example. They called 120 00:06:38,279 --> 00:06:41,880 Speaker 1: it a more inclusive system. It doesn't include anything. You 121 00:06:41,960 --> 00:06:45,479 Speaker 1: know what it's really about. It's about puffing up the duoke. 122 00:06:45,600 --> 00:06:48,760 Speaker 1: People's vote totals. That's all I know, and I still 123 00:06:48,800 --> 00:06:52,400 Speaker 1: can't understand how that works. Why is it that only 124 00:06:52,440 --> 00:06:56,320 Speaker 1: progressives vote by mail? Late? All of these ballots coming 125 00:06:56,360 --> 00:06:59,279 Speaker 1: in you see next dump that's it. Basses ahead of 126 00:06:59,279 --> 00:07:01,920 Speaker 1: Cruise O. My addiction right now happened in June. It's 127 00:07:01,960 --> 00:07:04,880 Speaker 1: going to happen again. I don't understand unless there is 128 00:07:05,000 --> 00:07:07,640 Speaker 1: some sort of harvesting going on at the last moment. Well, 129 00:07:07,680 --> 00:07:09,440 Speaker 1: what do you think they're out there collecting ballots and 130 00:07:09,480 --> 00:07:11,160 Speaker 1: pushing people to mail amounts. I don't live in the 131 00:07:11,280 --> 00:07:15,680 Speaker 1: land of pretend. What do you think Why would they 132 00:07:15,680 --> 00:07:17,320 Speaker 1: set up why would you have to set up a 133 00:07:17,320 --> 00:07:20,640 Speaker 1: harvesting method? Why would you don't know if these were harvested. 134 00:07:20,680 --> 00:07:23,480 Speaker 1: But it was a tremendous amount of ballots that were 135 00:07:23,520 --> 00:07:25,800 Speaker 1: turned in the last day or mailed the last day 136 00:07:25,840 --> 00:07:30,160 Speaker 1: the election day. Tremendous amount. Well, I have a dark 137 00:07:30,240 --> 00:07:32,920 Speaker 1: view of human nature, and an extremely dark view of 138 00:07:33,600 --> 00:07:35,520 Speaker 1: the human nature of people who work in government and 139 00:07:35,640 --> 00:07:40,480 Speaker 1: political parties. Forget about it, politicians, No there it's it's 140 00:07:40,520 --> 00:07:44,320 Speaker 1: it's like it's it's like a criminal organization. Decide there's 141 00:07:44,320 --> 00:07:46,320 Speaker 1: only two types of people. The people that are anxious 142 00:07:46,320 --> 00:07:48,200 Speaker 1: to vote and vote early and vote by mail early, 143 00:07:48,240 --> 00:07:50,280 Speaker 1: and or they line up early on election day, and 144 00:07:50,280 --> 00:07:53,400 Speaker 1: then the other crowd that just all right puts it 145 00:07:53,400 --> 00:07:55,080 Speaker 1: in the mail or slaps it on the you've got 146 00:07:55,680 --> 00:07:58,400 Speaker 1: You've got to build a system that makes it run efficiently. 147 00:07:58,440 --> 00:08:00,600 Speaker 1: That that's what I expect. I don't care what other 148 00:08:00,640 --> 00:08:05,080 Speaker 1: people expect. I mean, government is extremely frustrating and extremely wasteful, 149 00:08:05,120 --> 00:08:07,560 Speaker 1: and I'm very very frustrated with the people in this 150 00:08:07,640 --> 00:08:12,080 Speaker 1: state because nothing really works. It's symbolic of everything. Are 151 00:08:12,120 --> 00:08:15,240 Speaker 1: the essence of it. There's no incentive in government, there's 152 00:08:15,240 --> 00:08:18,760 Speaker 1: no profit motive. There's nothing in there that would compel 153 00:08:18,840 --> 00:08:23,120 Speaker 1: people to perform stronger. But that exists, but to nonprofit situation. 154 00:08:23,360 --> 00:08:26,960 Speaker 1: But to so many people who are emotionally invested in government, 155 00:08:27,120 --> 00:08:31,360 Speaker 1: who love government, who pay all these ridiculous taxes, who 156 00:08:31,440 --> 00:08:35,200 Speaker 1: allow themselves to be regulated to death. I'm to allow 157 00:08:35,280 --> 00:08:37,720 Speaker 1: who allow you know, tens of thousands of homeless people 158 00:08:37,720 --> 00:08:39,880 Speaker 1: in the street, all the rampant crime, and the criminals 159 00:08:40,000 --> 00:08:43,280 Speaker 1: running around. I don't care if I'm the last guy left. 160 00:08:44,200 --> 00:08:46,439 Speaker 1: I don't want to put up with this. I think, 161 00:08:46,480 --> 00:08:51,560 Speaker 1: I think this is incredibly insane. That they take this 162 00:08:51,679 --> 00:08:56,280 Speaker 1: long to count, to count and then and I can't. 163 00:08:56,320 --> 00:09:01,119 Speaker 1: I can't stand excuses. I hate excuses. Just do it, execute, 164 00:09:01,200 --> 00:09:05,200 Speaker 1: do it right, Prepare, anticipate, do whatever you have to 165 00:09:05,240 --> 00:09:07,600 Speaker 1: do to make the job work. Don't give me your 166 00:09:08,040 --> 00:09:12,800 Speaker 1: your problems. Those are your problems, your job. The more 167 00:09:12,960 --> 00:09:15,240 Speaker 1: that these late counted votes work in their favor, the 168 00:09:15,320 --> 00:09:18,600 Speaker 1: less likely they are to change anything. And it's gonna 169 00:09:18,640 --> 00:09:21,200 Speaker 1: happen again probably, And it happened in June, and it 170 00:09:21,200 --> 00:09:23,240 Speaker 1: happened in twenty twenty two. All the late votes that 171 00:09:23,320 --> 00:09:26,640 Speaker 1: came in were Democrat, progressive, left wing votes. And doesn't 172 00:09:26,640 --> 00:09:29,480 Speaker 1: that make you suspicious at all? It does. I would 173 00:09:29,520 --> 00:09:33,160 Speaker 1: like somebody to investigate it. Who can we appoint? Why 174 00:09:33,200 --> 00:09:36,280 Speaker 1: does it only go that way? I don't know. I'm 175 00:09:36,280 --> 00:09:41,040 Speaker 1: intrigued too. I think there's just what are they called 176 00:09:41,080 --> 00:09:44,640 Speaker 1: low propensity voters, more of them in that party. I 177 00:09:44,679 --> 00:09:47,000 Speaker 1: don't I don't see how how get it may giving 178 00:09:47,040 --> 00:09:49,400 Speaker 1: them a mail in ballot. It's just, you know, they're lazy, 179 00:09:49,440 --> 00:09:51,439 Speaker 1: but least they sit there at a desk and draw circles, 180 00:09:51,480 --> 00:09:55,120 Speaker 1: props and low information. I don't. I don't see how 181 00:09:55,120 --> 00:09:57,839 Speaker 1: getting people who probably know the least about what's going on. 182 00:09:57,920 --> 00:10:01,240 Speaker 1: Are probably not that bright, don't have any curiosity and 183 00:10:01,320 --> 00:10:04,560 Speaker 1: don't even have the energy to to to walk over 184 00:10:04,559 --> 00:10:09,000 Speaker 1: to a polling station, giving them more access to voting. 185 00:10:09,040 --> 00:10:12,640 Speaker 1: They should have less access to voting. One thing I 186 00:10:12,720 --> 00:10:15,040 Speaker 1: found I was just perusing the vote results I thought 187 00:10:15,120 --> 00:10:17,240 Speaker 1: was kind of amusing. I don't know if you noticed 188 00:10:17,320 --> 00:10:19,120 Speaker 1: John on your ballot because you don't like to vote 189 00:10:19,160 --> 00:10:21,640 Speaker 1: for judges. We were supposed to either affirm or not 190 00:10:21,800 --> 00:10:24,120 Speaker 1: affirm the Supreme Court justices. Did you see that the 191 00:10:24,160 --> 00:10:26,880 Speaker 1: State Supreme Court? Yeah, I know, it was all thirty 192 00:10:26,960 --> 00:10:29,520 Speaker 1: seventy every one of them that was on the ballot. 193 00:10:29,840 --> 00:10:32,560 Speaker 1: It was thirty percent said no, seventy percent said yeah. 194 00:10:32,559 --> 00:10:35,000 Speaker 1: So sort of like exactly everybody did the same thing 195 00:10:35,080 --> 00:10:37,520 Speaker 1: with all the judges because they don't vote the judges, 196 00:10:37,679 --> 00:10:39,800 Speaker 1: all right. That's people who are like, oh, I don't 197 00:10:39,800 --> 00:10:42,720 Speaker 1: like these paper I know, and in the seventy percent, sure, 198 00:10:42,800 --> 00:10:45,400 Speaker 1: you know, they're judges and they probably know what they're 199 00:10:45,440 --> 00:10:49,440 Speaker 1: doing though, but it was like nobody discerned between all 200 00:10:49,559 --> 00:10:50,719 Speaker 1: any I think it was four of them on the 201 00:10:52,520 --> 00:10:56,560 Speaker 1: I mean, nobody's got the time. People barely have time 202 00:10:56,600 --> 00:11:01,760 Speaker 1: to learn about whatever apparently our websites give you. But 203 00:11:01,840 --> 00:11:05,040 Speaker 1: at the time, all right, we got more coming up, 204 00:11:05,040 --> 00:11:07,880 Speaker 1: in cluding, of course, the keyword for your chance to 205 00:11:07,920 --> 00:11:10,160 Speaker 1: win some money. Johnny ken kf I am six forty 206 00:11:10,320 --> 00:11:13,520 Speaker 1: Live everywhere on the iHeartRadio app coming up after three o'clock. 207 00:11:13,559 --> 00:11:17,080 Speaker 1: Our guests will be Andres Benitas. We've talked about this 208 00:11:17,120 --> 00:11:19,280 Speaker 1: story since it happened a couple of nights ago. This 209 00:11:19,400 --> 00:11:23,560 Speaker 1: was the unbelievable car chase story where a guy stole 210 00:11:23,600 --> 00:11:26,559 Speaker 1: two vehicles, first of van and then a work truck 211 00:11:26,600 --> 00:11:29,680 Speaker 1: out a Whittier Landres was in that home in Whittier 212 00:11:29,679 --> 00:11:31,760 Speaker 1: where the guy entered and grabbed the car here the 213 00:11:31,760 --> 00:11:35,280 Speaker 1: truck keys and stole the truck. And people have been 214 00:11:35,320 --> 00:11:38,000 Speaker 1: coming to help the family. They've got to go fund 215 00:11:38,000 --> 00:11:41,840 Speaker 1: me going that's raised over ninety thousand dollars and he 216 00:11:41,880 --> 00:11:45,040 Speaker 1: has a note on the go fund me that yes, 217 00:11:45,160 --> 00:11:50,000 Speaker 1: they do have insurance. However, they have to keep the 218 00:11:50,080 --> 00:11:53,920 Speaker 1: vehicle because it's evidence, you see, because he stole it 219 00:11:54,360 --> 00:11:56,240 Speaker 1: and when they cornered him at the gas station. Of 220 00:11:56,280 --> 00:11:59,200 Speaker 1: course they shot at it with non lethal force whatever 221 00:11:59,240 --> 00:12:01,640 Speaker 1: that was, but it's it's part of evidence in the 222 00:12:01,679 --> 00:12:06,200 Speaker 1: case against the carjacker. So they need a replacement for 223 00:12:06,240 --> 00:12:09,640 Speaker 1: their landscaping business. And that's where people have stepped in. 224 00:12:10,120 --> 00:12:12,920 Speaker 1: So we heard a story that's really escaping company was 225 00:12:12,960 --> 00:12:15,520 Speaker 1: gonna donate a truck until they got a new one. Yes, 226 00:12:15,640 --> 00:12:17,920 Speaker 1: that's nice that the landscaping company did that, but it's 227 00:12:17,960 --> 00:12:20,520 Speaker 1: really wrong for the government to seize the truck. Ben 228 00:12:20,520 --> 00:12:24,319 Speaker 1: he says, it's the victim. Well, I mean, how how 229 00:12:24,360 --> 00:12:28,160 Speaker 1: long does it take to take pictures and you know, 230 00:12:28,440 --> 00:12:31,959 Speaker 1: gather a bullet fragments or wet forensics. Yeah, it doesn't 231 00:12:31,960 --> 00:12:34,080 Speaker 1: take long, and then give him back the truck. Can't 232 00:12:34,080 --> 00:12:36,760 Speaker 1: you do that in a day because you're gonna the 233 00:12:36,840 --> 00:12:39,160 Speaker 1: next hour how long it's supposed to take. But it's 234 00:12:39,200 --> 00:12:41,199 Speaker 1: not like you have to drive the truck into the courtroom. 235 00:12:41,520 --> 00:12:43,880 Speaker 1: They can't even get the equipment that's on it. They 236 00:12:43,960 --> 00:12:46,240 Speaker 1: got their ladders and I guess the gardening equipment. There's 237 00:12:46,280 --> 00:12:49,600 Speaker 1: no reason for that. And think there's another example who 238 00:12:49,640 --> 00:12:52,120 Speaker 1: gets the abuse? Now he gets the abuse, what does 239 00:12:52,160 --> 00:12:54,080 Speaker 1: he get the abuse? It will give me his tools 240 00:12:54,120 --> 00:12:56,120 Speaker 1: and tools have nothing to do with the grime. You'll 241 00:12:56,160 --> 00:12:57,800 Speaker 1: want this guy to be send away for a long time, 242 00:12:57,840 --> 00:13:00,200 Speaker 1: don't you like he was in the past. Well, I 243 00:13:00,200 --> 00:13:02,319 Speaker 1: think we got a skuy with that. How many convictions 244 00:13:02,400 --> 00:13:04,400 Speaker 1: was it? I think we've I think we have da 245 00:13:04,720 --> 00:13:07,040 Speaker 1: we have video of the crimes. I don't think they 246 00:13:07,040 --> 00:13:10,240 Speaker 1: need the ladder in the back of the truck. I mean, 247 00:13:10,320 --> 00:13:15,240 Speaker 1: it's just like used common sense. There is no basic intelligence. 248 00:13:15,679 --> 00:13:19,360 Speaker 1: Everything is done with such diligence that they overlook common sense. 249 00:13:20,480 --> 00:13:22,160 Speaker 1: They don't want any reason for the case to be 250 00:13:22,200 --> 00:13:25,520 Speaker 1: thrown out. They're gonna sit there with their little dusting thing. 251 00:13:26,280 --> 00:13:30,760 Speaker 1: That's what small little government minds do. Isn't it worried 252 00:13:30,760 --> 00:13:33,200 Speaker 1: about tiny little minusia just because they have to follow 253 00:13:33,240 --> 00:13:37,960 Speaker 1: the protocol. Yeah? Well all right, So Deborah Mark, are 254 00:13:37,960 --> 00:13:41,439 Speaker 1: you there? I'm here. Ken Okay, what did you say 255 00:13:41,480 --> 00:13:44,040 Speaker 1: at the top of the hour with your first story 256 00:13:44,120 --> 00:13:48,200 Speaker 1: concerning La County and the masking that masks may come back? 257 00:13:48,840 --> 00:13:51,160 Speaker 1: But okay, I want to be clear on this because 258 00:13:51,160 --> 00:13:52,640 Speaker 1: the way I'm reading the story is it would be 259 00:13:52,760 --> 00:13:57,160 Speaker 1: a recommendation, not a mandate. It's ze Bright. It would 260 00:13:57,160 --> 00:14:00,520 Speaker 1: be a recommendation by Health Director BARBERA. For Rey because 261 00:14:00,559 --> 00:14:02,280 Speaker 1: the cases are going up, so they're going to wait 262 00:14:02,280 --> 00:14:04,400 Speaker 1: and see how things look this winter, and it would 263 00:14:04,440 --> 00:14:08,840 Speaker 1: be in indoor spaces and venues. They have this really 264 00:14:08,960 --> 00:14:13,600 Speaker 1: stupid again John government strange system where they have these 265 00:14:13,679 --> 00:14:17,280 Speaker 1: tiers that they go through and there is one called 266 00:14:17,320 --> 00:14:19,600 Speaker 1: strongly recommend That doesn't mean you have to wear a 267 00:14:19,640 --> 00:14:22,120 Speaker 1: mask when you go into the store, but that's just 268 00:14:22,480 --> 00:14:26,040 Speaker 1: their little level that they have. The next one would 269 00:14:26,040 --> 00:14:29,160 Speaker 1: be required, and then of course the third one is nothing. 270 00:14:29,200 --> 00:14:34,200 Speaker 1: They don't issue any recommendation for against masks. But again 271 00:14:34,880 --> 00:14:41,920 Speaker 1: this is like some weird minutia, silly arbitrary formulas. There's 272 00:14:41,920 --> 00:14:44,320 Speaker 1: nobody interested in any of this stuff. There's nobody's following 273 00:14:44,320 --> 00:14:48,880 Speaker 1: this stuff anymore. If you catch COVID, it's generally very mild. 274 00:14:49,360 --> 00:14:51,040 Speaker 1: If you haven't figured out if you're in one of 275 00:14:51,040 --> 00:14:53,280 Speaker 1: the danger categories by now, I don't know what to 276 00:14:53,320 --> 00:14:55,440 Speaker 1: tell you. If you haven't figured out that you're eighty 277 00:14:55,440 --> 00:14:58,680 Speaker 1: five years old or you're grossly overweight with diabetes, I 278 00:14:58,720 --> 00:15:02,600 Speaker 1: mean pretty obvious, who who it? Who it takes out 279 00:15:02,640 --> 00:15:05,400 Speaker 1: of the population. Well, we're now looking at b Q 280 00:15:05,680 --> 00:15:09,560 Speaker 1: dot one and b Q dot one one. Those are 281 00:15:09,560 --> 00:15:12,960 Speaker 1: the new variants. You is this the rest of our life? 282 00:15:12,960 --> 00:15:16,400 Speaker 1: We're going to listen to this nonsense. It's year three, 283 00:15:16,560 --> 00:15:19,080 Speaker 1: I'm I'm I'm out. Oh no, most people come out. 284 00:15:19,120 --> 00:15:20,720 Speaker 1: I just don't want people to hear the wrong thing 285 00:15:21,400 --> 00:15:24,000 Speaker 1: and think that they're bringing back a mask mandate to 286 00:15:24,040 --> 00:15:27,920 Speaker 1: go into the public places again, because that's not what's happening. 287 00:15:27,960 --> 00:15:31,040 Speaker 1: It's just going to be strongly recommend people. Last time 288 00:15:31,080 --> 00:15:33,880 Speaker 1: they did that, most people ignored it. So well, don't 289 00:15:33,880 --> 00:15:36,280 Speaker 1: you think that the people that are concerned anyway are 290 00:15:36,280 --> 00:15:38,960 Speaker 1: wearing masks? Now? I mean yes, and it's very few 291 00:15:39,000 --> 00:15:40,840 Speaker 1: of them, but you are right, and they're very funny. 292 00:15:40,960 --> 00:15:43,080 Speaker 1: I see two or three a day out of thee 293 00:15:43,120 --> 00:15:46,040 Speaker 1: hundreds of people I might pass. I saw a youngish guy, 294 00:15:47,040 --> 00:15:50,920 Speaker 1: I don't know, probably in his twenties, maybe thirty. He's 295 00:15:50,960 --> 00:15:54,560 Speaker 1: walking down the street in the sun yesterday, Nobody within 296 00:15:54,640 --> 00:15:57,120 Speaker 1: a block. He's the only guy on the block. I 297 00:15:57,240 --> 00:15:59,120 Speaker 1: drove by him and he's got he's got the full 298 00:15:59,120 --> 00:16:01,800 Speaker 1: blue mask on and I just like slowed down the 299 00:16:01,800 --> 00:16:03,800 Speaker 1: car and they stared at him. It's like, what is 300 00:16:03,840 --> 00:16:11,120 Speaker 1: with you? What kind of mental issue do you have? Well, 301 00:16:11,320 --> 00:16:17,280 Speaker 1: he looked young and healthy, and I think that's reflective 302 00:16:17,280 --> 00:16:21,160 Speaker 1: of a personality. You're exactly right, right, So that's what 303 00:16:21,280 --> 00:16:24,560 Speaker 1: the mask actually is marking. You can see people who 304 00:16:24,600 --> 00:16:32,800 Speaker 1: have like some kind of stability disorder, to put it diplomatically, 305 00:16:33,000 --> 00:16:34,960 Speaker 1: if they're walking or wearing a mask at this point. 306 00:16:36,960 --> 00:16:39,520 Speaker 1: The most recent survey I have, and this will tell 307 00:16:39,520 --> 00:16:43,320 Speaker 1: you exactly how people have tuned out, is that more 308 00:16:43,360 --> 00:16:47,760 Speaker 1: than half of Americans have either heard little or nothing 309 00:16:47,800 --> 00:16:51,040 Speaker 1: about the New Booster what's called the bivalent shot, the 310 00:16:51,040 --> 00:16:52,920 Speaker 1: one that I told you I got last Friday, and 311 00:16:53,000 --> 00:16:58,160 Speaker 1: Deborah Marcott before me, and John Colbelt doesn't care. So 312 00:16:58,240 --> 00:16:59,960 Speaker 1: half the people haven't heard about it in a much 313 00:17:00,040 --> 00:17:02,440 Speaker 1: smaller percentage of actually gotten it. That gives you the 314 00:17:02,480 --> 00:17:05,720 Speaker 1: tune out level of this, because the people were still 315 00:17:05,760 --> 00:17:09,159 Speaker 1: following us and concerned at any level they might have 316 00:17:09,280 --> 00:17:13,760 Speaker 1: gotten the new Booster, and they're not. So No, they've 317 00:17:13,840 --> 00:17:17,680 Speaker 1: they've lost faith, and then they can they have their 318 00:17:17,680 --> 00:17:20,520 Speaker 1: own life experiences. I don't need a statis set of 319 00:17:20,560 --> 00:17:23,840 Speaker 1: statistics to know what's going on. I don't need the 320 00:17:23,920 --> 00:17:25,720 Speaker 1: media telling me to know what's going on. You just 321 00:17:25,760 --> 00:17:28,520 Speaker 1: go through life. You could see that few people are 322 00:17:28,560 --> 00:17:30,560 Speaker 1: getting it, and the ones who are getting it, it's mild, 323 00:17:30,600 --> 00:17:34,000 Speaker 1: it's over in a few days. I see zero practical 324 00:17:34,040 --> 00:17:36,880 Speaker 1: difference between that and people just naturally getting colds from 325 00:17:36,880 --> 00:17:41,720 Speaker 1: time to time. Nothing all right, when we return the 326 00:17:41,960 --> 00:17:45,600 Speaker 1: student loan forgiveness plan from Joe Biden has hit a 327 00:17:45,680 --> 00:17:49,760 Speaker 1: real bump on the road. Another judge says you got 328 00:17:49,760 --> 00:17:53,040 Speaker 1: to have Congress voting on that. And the response, which 329 00:17:53,119 --> 00:17:57,080 Speaker 1: took a few hours, the Biden administration finally said, all right, 330 00:17:57,320 --> 00:17:59,280 Speaker 1: we're not going to accept any applications. To see how 331 00:17:59,480 --> 00:18:03,480 Speaker 1: an appeal court made that ruling also a few weeks ago, 332 00:18:03,560 --> 00:18:07,320 Speaker 1: but well, we'll still take applications for loan forgiveness. Because 333 00:18:07,320 --> 00:18:10,200 Speaker 1: it was before the elections, that's probably the reason. Now 334 00:18:10,200 --> 00:18:12,200 Speaker 1: it's after the elections, they're like, wow, we may lose 335 00:18:12,240 --> 00:18:15,440 Speaker 1: this one. Let's hold up on accepting applications for loan forgiveness. 336 00:18:15,680 --> 00:18:18,560 Speaker 1: We'll talk about the story. I'll also tell you about 337 00:18:18,560 --> 00:18:21,840 Speaker 1: a survey that was taken. What will people do with 338 00:18:21,880 --> 00:18:24,720 Speaker 1: the money savings they don't have to pay off their 339 00:18:24,720 --> 00:18:27,600 Speaker 1: student loans? What do you think people said when they 340 00:18:27,600 --> 00:18:29,680 Speaker 1: were asked, well, you may have a little extra money 341 00:18:29,680 --> 00:18:30,960 Speaker 1: every month because you don't have to pay off your 342 00:18:30,960 --> 00:18:32,320 Speaker 1: student loan. What do you want to do with it? 343 00:18:32,600 --> 00:18:34,639 Speaker 1: Give you all this coming up Johnny can Cafe. I 344 00:18:34,720 --> 00:18:37,800 Speaker 1: am six forty live everywhere on the ihearted radio app No, 345 00:18:38,000 --> 00:18:40,160 Speaker 1: we're expecting it might be the same time as yesterday, 346 00:18:40,160 --> 00:18:43,119 Speaker 1: which was around a four thirty. Another vote count dump 347 00:18:43,720 --> 00:18:46,520 Speaker 1: from the La County Registrar's office. It really wasn't a 348 00:18:46,520 --> 00:18:48,720 Speaker 1: lot is it was at forty thousand votes We calculated 349 00:18:48,720 --> 00:18:51,320 Speaker 1: it is what they do a mayor's race. Anyway, that 350 00:18:51,480 --> 00:19:00,159 Speaker 1: was barely a fart. Yeah. Anyway, we will get you 351 00:19:00,240 --> 00:19:03,680 Speaker 1: that information when we get it. Let me throw some 352 00:19:03,760 --> 00:19:06,920 Speaker 1: numbers at you as we talk about the next story. 353 00:19:07,520 --> 00:19:13,399 Speaker 1: Twenty six million people have applied for this. This is 354 00:19:13,480 --> 00:19:16,719 Speaker 1: borrowers trying to get their federal student loan debt wiped 355 00:19:16,720 --> 00:19:20,639 Speaker 1: out thanks to Joe Biden. It's up to ten thousand dollars, 356 00:19:20,680 --> 00:19:22,600 Speaker 1: up to twenty thousand dollars if you've got the government 357 00:19:22,640 --> 00:19:27,879 Speaker 1: pell grants. The government's already approved sixteen million applications. Is 358 00:19:27,920 --> 00:19:33,720 Speaker 1: expected that in total, this could cost four hundred billion 359 00:19:34,280 --> 00:19:38,080 Speaker 1: dollars to do. Now, when we covered this story when 360 00:19:38,080 --> 00:19:41,119 Speaker 1: Biden announced it a few months ago, we both researched 361 00:19:41,160 --> 00:19:44,080 Speaker 1: it have the same response. He can't do this. He 362 00:19:44,119 --> 00:19:47,399 Speaker 1: has to have Congress approve this. He and he knows 363 00:19:47,600 --> 00:19:52,000 Speaker 1: he can't do it, and he did it anyway in 364 00:19:52,119 --> 00:19:55,080 Speaker 1: order to try to buy votes. And he knew at 365 00:19:55,119 --> 00:19:57,080 Speaker 1: some point a judge was going to knock it down, 366 00:19:57,400 --> 00:19:59,680 Speaker 1: but that would be after the election, and now it's 367 00:19:59,680 --> 00:20:04,520 Speaker 1: not to matter anymore. That is the cynical way politicians 368 00:20:04,560 --> 00:20:08,440 Speaker 1: look at life. You know, all the true believers out 369 00:20:08,480 --> 00:20:10,840 Speaker 1: there thinking, oh, look, he cares about me. He's trying 370 00:20:10,840 --> 00:20:13,800 Speaker 1: to forgive my college debt. No, he doesn't care about you, 371 00:20:13,840 --> 00:20:16,400 Speaker 1: and he doesn't care about your college debt. He did 372 00:20:16,480 --> 00:20:19,480 Speaker 1: something he knew was illegal because it would snow you, 373 00:20:19,920 --> 00:20:23,800 Speaker 1: and you went for it. And now he got put 374 00:20:23,840 --> 00:20:25,520 Speaker 1: on hold by the US Court of Appeals in the 375 00:20:25,520 --> 00:20:27,879 Speaker 1: Eighth Circuit last month. There were lawsuits all over the 376 00:20:27,920 --> 00:20:30,720 Speaker 1: country and some are getting heard and decisions are being made. 377 00:20:31,200 --> 00:20:33,800 Speaker 1: But I thought this was interesting. It was last month 378 00:20:34,040 --> 00:20:37,080 Speaker 1: the bidenministrator said, we will continue to take applications because yes, 379 00:20:37,080 --> 00:20:39,679 Speaker 1: you're right, John, it was before the vote. Right now. 380 00:20:39,880 --> 00:20:43,560 Speaker 1: A judge in Texas, a federal judge, Mark Pittman, who yes, 381 00:20:43,760 --> 00:20:47,560 Speaker 1: was appointed by the Trumpster, said no. He also agreed 382 00:20:47,840 --> 00:20:49,800 Speaker 1: that you can't do this in this country. We're not 383 00:20:49,920 --> 00:20:52,480 Speaker 1: ruled by the all powerful executive with a pen. And 384 00:20:52,480 --> 00:20:57,520 Speaker 1: a phone. So he says, we need clear congressional authorization 385 00:20:57,960 --> 00:21:01,600 Speaker 1: for this type of action. This, of course is after 386 00:21:01,640 --> 00:21:04,119 Speaker 1: the election, so the Biden administrations something announced today. I 387 00:21:04,200 --> 00:21:06,160 Speaker 1: we're not taking any more applications right now, by the way, 388 00:21:06,160 --> 00:21:08,160 Speaker 1: but if we already have yours, you'll be quick. We'll 389 00:21:08,200 --> 00:21:09,399 Speaker 1: be quick to jump on it when we get to 390 00:21:09,400 --> 00:21:11,359 Speaker 1: go ahead. Everyone, everyone expects us to end up in 391 00:21:11,400 --> 00:21:13,200 Speaker 1: the US Supreme Court is where this is going. Where 392 00:21:13,240 --> 00:21:16,800 Speaker 1: will get shot down. It should and not because of ideology, 393 00:21:17,080 --> 00:21:20,720 Speaker 1: because that's what the constitution says, that's what the laws. 394 00:21:21,000 --> 00:21:23,560 Speaker 1: Otherwise they're playing with politics. You are right, yeah, And 395 00:21:23,960 --> 00:21:27,080 Speaker 1: everybody talks about this in very soft terms. Oh, it's 396 00:21:27,160 --> 00:21:31,360 Speaker 1: forgiveness of loans. It's not forgiveness of the debt. It's 397 00:21:31,400 --> 00:21:36,359 Speaker 1: a transfer of the debt because the rest of us 398 00:21:37,080 --> 00:21:40,560 Speaker 1: have to pay that four hundred billion dollars. That's four 399 00:21:40,640 --> 00:21:45,680 Speaker 1: hundred billion dollars that goes on our backs because this 400 00:21:46,359 --> 00:21:51,400 Speaker 1: college crowd isn't paying their loan off. They signed the papers, 401 00:21:51,800 --> 00:21:54,239 Speaker 1: they agreed to borrow the money, and they agreed to 402 00:21:54,240 --> 00:21:57,119 Speaker 1: pay it back. Now they don't want to, and the 403 00:21:57,160 --> 00:21:59,520 Speaker 1: rest of us have to pay it back. That's not 404 00:21:59,600 --> 00:22:03,879 Speaker 1: forgive of this, that's sloughing off your debts onto somebody else. 405 00:22:05,400 --> 00:22:08,359 Speaker 1: So the Texas case is interesting because one of the 406 00:22:08,359 --> 00:22:11,000 Speaker 1: reasons that the cases are getting rejected is that there 407 00:22:11,040 --> 00:22:14,359 Speaker 1: you don't have standing. But one of them was a 408 00:22:14,400 --> 00:22:18,360 Speaker 1: federal student loan borrower who is ineligible for relief under 409 00:22:18,400 --> 00:22:21,760 Speaker 1: Biden's plans because her loans don't qualify for cancelation. I 410 00:22:21,760 --> 00:22:25,119 Speaker 1: would say she has standing. Then there's a direct relationship 411 00:22:25,240 --> 00:22:28,679 Speaker 1: between what Biden's doing for others with student loans and 412 00:22:28,720 --> 00:22:31,720 Speaker 1: what she's not getting. So that's why the judge ruled 413 00:22:31,720 --> 00:22:34,160 Speaker 1: that I can rule in this case. There have been 414 00:22:34,760 --> 00:22:37,600 Speaker 1: a couple already that have been turned aside by the 415 00:22:37,640 --> 00:22:42,360 Speaker 1: Supreme Court, in particular Justice Andy Coney Barrett, but they 416 00:22:42,359 --> 00:22:46,360 Speaker 1: were more about standing and other reasons for rejection. No 417 00:22:46,359 --> 00:22:51,639 Speaker 1: nobody has nobody has issued any rulings supporting Biden on 418 00:22:51,760 --> 00:22:56,120 Speaker 1: the merits of the case. This Judge Pittman said, no 419 00:22:56,160 --> 00:22:59,400 Speaker 1: one can plausibly deny that it is one of the 420 00:22:59,520 --> 00:23:05,040 Speaker 1: largest delegations of legislative power to the executive branch, or 421 00:23:05,080 --> 00:23:09,080 Speaker 1: one of the largest exercises of a legislative power without 422 00:23:09,160 --> 00:23:14,960 Speaker 1: congressional authority. One hundred percent correct reading of the Constitution 423 00:23:15,440 --> 00:23:18,639 Speaker 1: is that the House and the Senate have to decide 424 00:23:19,080 --> 00:23:24,480 Speaker 1: whether these people get their loans forgiven, just like any 425 00:23:24,800 --> 00:23:27,760 Speaker 1: You can't give out mass amnesties either, And he sut 426 00:23:27,920 --> 00:23:33,560 Speaker 1: Congress's approval. This is not This is not a decision 427 00:23:33,680 --> 00:23:38,600 Speaker 1: on whether this is a correct policy or not. This 428 00:23:38,720 --> 00:23:41,919 Speaker 1: is a decision on the way the law is supposed 429 00:23:41,960 --> 00:23:45,199 Speaker 1: to be carried out. If Congress wants to pass a 430 00:23:45,280 --> 00:23:48,320 Speaker 1: law and forgive all this debt, they can and the 431 00:23:48,359 --> 00:23:51,600 Speaker 1: President can sign it, and then it's legitimate. Legit. This 432 00:23:51,720 --> 00:23:55,520 Speaker 1: is not legitimate, and that's not our system of government. 433 00:23:56,040 --> 00:23:58,920 Speaker 1: And Biden knew that. Believe me, he spent over fifty 434 00:23:59,000 --> 00:24:01,840 Speaker 1: years of government. He knows this, and so do all 435 00:24:01,920 --> 00:24:05,040 Speaker 1: his lackeys and sycophants. They knew it. It was just 436 00:24:05,320 --> 00:24:09,760 Speaker 1: to try to debribe, you know, these these millennial voters, 437 00:24:10,359 --> 00:24:13,479 Speaker 1: these gen Z voters, who don't you know, because they 438 00:24:13,480 --> 00:24:16,520 Speaker 1: don't teach this stuff. I'm sure they don't teach separation 439 00:24:16,560 --> 00:24:22,320 Speaker 1: of powers anymore in high school and college. First reading 440 00:24:22,400 --> 00:24:24,360 Speaker 1: I read is that it may have worked that even 441 00:24:24,400 --> 00:24:26,639 Speaker 1: though gen Z voters normally don't vote, more of them 442 00:24:26,720 --> 00:24:29,160 Speaker 1: turned out for the mid terms than usual. So well 443 00:24:29,200 --> 00:24:31,359 Speaker 1: that's well, that's all that matters. That's why he doesn't 444 00:24:31,400 --> 00:24:33,400 Speaker 1: care if this gets shot down by the door, right, 445 00:24:33,400 --> 00:24:37,960 Speaker 1: he just needed to come out on eight. It's mission accomplished. Listen, 446 00:24:38,000 --> 00:24:40,080 Speaker 1: by the way, if you borrow money, pay it back. 447 00:24:40,359 --> 00:24:44,240 Speaker 1: Stop this. If you thought if you thought the loan 448 00:24:44,359 --> 00:24:47,040 Speaker 1: was too much, then next time, don't sign sign the paper. 449 00:24:48,119 --> 00:24:51,920 Speaker 1: So an outfit cold intelligent dot Com surveyed one thousand, 450 00:24:52,000 --> 00:24:55,080 Speaker 1: two hundred and fifty people who applied for or planned 451 00:24:55,119 --> 00:24:58,440 Speaker 1: to apply for the Student Loan Forgiveness program. And here's 452 00:24:58,480 --> 00:25:02,520 Speaker 1: their headline. Nearly half a student loan forgiveness recipients will 453 00:25:02,640 --> 00:25:06,040 Speaker 1: use the relief to go on vacation. So, you know, 454 00:25:06,080 --> 00:25:07,840 Speaker 1: a lot of people looked at. So they're in such 455 00:25:07,920 --> 00:25:11,439 Speaker 1: dire financial straits, it's stressing them out that they have 456 00:25:11,480 --> 00:25:13,800 Speaker 1: to pay off their college loans. When they were asked, 457 00:25:13,800 --> 00:25:15,000 Speaker 1: all right, now, I don't have to pay off the 458 00:25:15,000 --> 00:25:17,120 Speaker 1: college loan every month. That whenever you make the payments, 459 00:25:17,400 --> 00:25:19,200 Speaker 1: what are you going to do with any extra money? 460 00:25:19,240 --> 00:25:23,000 Speaker 1: May have vacations, yeah, right, so they're not smartphones. No. 461 00:25:23,440 --> 00:25:26,760 Speaker 1: Drugs and alcohol actually came up too, of course, because 462 00:25:26,760 --> 00:25:29,120 Speaker 1: that's what people do you get, you get a bonus, 463 00:25:29,400 --> 00:25:31,280 Speaker 1: you get Well, it's not even a bonus. They're not 464 00:25:31,359 --> 00:25:33,800 Speaker 1: been given a check. They're just going to have more 465 00:25:33,840 --> 00:25:35,720 Speaker 1: money at the end of the month because they don't 466 00:25:35,760 --> 00:25:37,800 Speaker 1: have to pay off the loan, right, So with the 467 00:25:37,840 --> 00:25:39,480 Speaker 1: more money at the end of the month, Yeah, they're 468 00:25:39,480 --> 00:25:41,600 Speaker 1: going to go on a vacation or go have a party, 469 00:25:41,800 --> 00:25:44,720 Speaker 1: because that's what people do. I guess it was twenty 470 00:25:44,720 --> 00:25:49,320 Speaker 1: percent more likely to pick these things men. Yeah, young guys. 471 00:25:49,320 --> 00:25:52,919 Speaker 1: Men were more likely to say things like, oh, vacations, smartphones, drugs, alcohol, 472 00:25:52,960 --> 00:25:54,840 Speaker 1: gambling was even in there. You think guys in their 473 00:25:54,840 --> 00:25:57,680 Speaker 1: twenties are planning for the financial future. I mean, do 474 00:25:57,960 --> 00:26:02,400 Speaker 1: people have any like experience with the human race? There's 475 00:26:02,400 --> 00:26:04,800 Speaker 1: not one. Others said they would buy new clothes, eat 476 00:26:04,800 --> 00:26:08,520 Speaker 1: out at restaurants. Yeah, not exactly essentials. That must be 477 00:26:08,720 --> 00:26:11,119 Speaker 1: That must be the female response then, or we always 478 00:26:11,119 --> 00:26:13,520 Speaker 1: told that these people are living paycheck to paycheck. That 479 00:26:13,760 --> 00:26:18,600 Speaker 1: may be food deprived or that's the thing. There's a 480 00:26:18,640 --> 00:26:21,960 Speaker 1: lot of BS media coverage on this. They may be 481 00:26:22,080 --> 00:26:25,880 Speaker 1: living paycheck to paycheck, but they don't particularly care if 482 00:26:25,920 --> 00:26:28,000 Speaker 1: they get an extra few hundred dollars a month, they'll 483 00:26:28,000 --> 00:26:30,960 Speaker 1: spend it on fun stuff, okay, And no, nobody is 484 00:26:30,960 --> 00:26:34,639 Speaker 1: food insecure. That is a totally bogus category. Well, I 485 00:26:34,680 --> 00:26:38,200 Speaker 1: think particularly people that went to college probably are coming 486 00:26:38,240 --> 00:26:41,639 Speaker 1: from better backgrounds, so stronger financial backgrounds, so they have food. 487 00:26:42,400 --> 00:26:45,440 Speaker 1: They generally do, yes. But you see, there's there's two categories. 488 00:26:45,480 --> 00:26:48,959 Speaker 1: I'm gonna put all college graduates into two categories. The 489 00:26:49,000 --> 00:26:52,360 Speaker 1: ones who get jobs that pay well because they got 490 00:26:52,359 --> 00:26:54,840 Speaker 1: a degree in something useful and they'll pay back their 491 00:26:54,880 --> 00:26:58,680 Speaker 1: loan and having that college degree will be financially beneficial 492 00:26:58,720 --> 00:27:01,520 Speaker 1: over the long run. Right. The second group are people 493 00:27:01,520 --> 00:27:05,439 Speaker 1: who got nonsense degrees in I don't know, diversity in 494 00:27:05,440 --> 00:27:09,199 Speaker 1: equity or something, and other than a few human resource jobs, 495 00:27:09,720 --> 00:27:13,280 Speaker 1: there's no work for them. And they're barristas and they're 496 00:27:13,320 --> 00:27:15,600 Speaker 1: having trouble paying off the loan and they're pissed off 497 00:27:15,640 --> 00:27:17,880 Speaker 1: and they want to bail out. They're uber drivers. They're 498 00:27:17,920 --> 00:27:20,520 Speaker 1: uber drivers. So if you if you got a legitimate 499 00:27:20,520 --> 00:27:25,000 Speaker 1: college degree in a real industry where that knowledge is important, 500 00:27:25,240 --> 00:27:27,600 Speaker 1: then you're going to do great. And if you got 501 00:27:27,720 --> 00:27:34,480 Speaker 1: one of these new age bullcrap degrees well that don't 502 00:27:34,520 --> 00:27:37,520 Speaker 1: have anything useful in them, then yeah, you're gonna struggle. 503 00:27:37,600 --> 00:27:40,040 Speaker 1: And that's almost fit into the first category until the 504 00:27:40,119 --> 00:27:43,000 Speaker 1: very end because I have an accounting degree and clearly 505 00:27:43,040 --> 00:27:45,159 Speaker 1: I don't need it anymore. But it was useful for 506 00:27:45,160 --> 00:27:47,800 Speaker 1: the first ten years of my seniors as long as 507 00:27:47,840 --> 00:27:50,320 Speaker 1: you had an accounting job. Yeah, well I did, Yeah, 508 00:27:50,359 --> 00:27:54,320 Speaker 1: I did, until I decided to take this dive. Yeah. 509 00:27:54,320 --> 00:27:58,119 Speaker 1: Well then, Deborah Mark, what is your degree in broadcast journalism? 510 00:27:58,280 --> 00:28:01,280 Speaker 1: I'll see she's still doing it, so no, worked out 511 00:28:01,280 --> 00:28:03,879 Speaker 1: how you went to Northridge? Right? I did a BA 512 00:28:03,880 --> 00:28:06,000 Speaker 1: in broadcast journalism. They don't teach you anything though, and 513 00:28:06,040 --> 00:28:09,040 Speaker 1: broadcast journalism. I actually learned a lot and I got 514 00:28:09,080 --> 00:28:11,600 Speaker 1: to do a lot. Yeah I did. I look at 515 00:28:11,600 --> 00:28:14,840 Speaker 1: her today exactly. I took some of those courses in college. 516 00:28:14,840 --> 00:28:17,000 Speaker 1: What a waste of time? Good lord. Actually, I have 517 00:28:17,080 --> 00:28:19,840 Speaker 1: to say when I went to cal State Northridge, it 518 00:28:19,880 --> 00:28:23,200 Speaker 1: was it was really it was great experience. I mean, 519 00:28:23,240 --> 00:28:25,760 Speaker 1: we had a TV station, we had a radio station. 520 00:28:25,920 --> 00:28:28,439 Speaker 1: I did everything. You can imagine. They still have it, 521 00:28:28,880 --> 00:28:31,040 Speaker 1: I know. I mean I actually taught there too, but 522 00:28:31,080 --> 00:28:34,360 Speaker 1: it was it was it was better. No, no, no, no, no, 523 00:28:34,400 --> 00:28:37,200 Speaker 1: it was actually better when I was doing it because 524 00:28:37,240 --> 00:28:40,200 Speaker 1: you had people there that were really driven. I don't know. 525 00:28:40,320 --> 00:28:43,000 Speaker 1: I not to say that people that are going there 526 00:28:43,000 --> 00:28:46,760 Speaker 1: now are not driven. But back in the day cough cough, 527 00:28:49,320 --> 00:28:52,520 Speaker 1: I went to s have a broadcast journalism degree. Oh, 528 00:28:52,560 --> 00:28:55,600 Speaker 1: we had two on the show, same place. You are specialty. 529 00:28:55,760 --> 00:29:00,640 Speaker 1: Looking how far it's gotten him? Look, I'm still gone exactly, 530 00:29:01,000 --> 00:29:03,480 Speaker 1: That's right. Something better will come along. He is the 531 00:29:03,520 --> 00:29:06,480 Speaker 1: Duke of sports. That's all we know. That's right. See, 532 00:29:06,560 --> 00:29:08,320 Speaker 1: that's an accomplishment. All right, We got more coming up, 533 00:29:08,360 --> 00:29:10,520 Speaker 1: John and Ken caf I am six forty live everywhere 534 00:29:10,520 --> 00:29:13,320 Speaker 1: in the iHeartRadio A Well. There are many car chases 535 00:29:13,320 --> 00:29:15,520 Speaker 1: in southern California. A lot of them are boring where 536 00:29:15,560 --> 00:29:17,800 Speaker 1: eventually the guy just lies down on the freeway on 537 00:29:17,840 --> 00:29:21,000 Speaker 1: his stomach and surrenders. Not in the case of the 538 00:29:21,040 --> 00:29:24,520 Speaker 1: one the other Knight who first to stole a hand 539 00:29:24,920 --> 00:29:28,880 Speaker 1: and then he when that thing pretty much couldn't run anymore, 540 00:29:29,120 --> 00:29:31,200 Speaker 1: he ran into a family home in Whittier and stole 541 00:29:31,240 --> 00:29:35,400 Speaker 1: their pickup truck, their work truck landscaping business, and that 542 00:29:35,680 --> 00:29:38,000 Speaker 1: may have gotten pretty wrecked too. When the police eventually 543 00:29:38,000 --> 00:29:40,600 Speaker 1: caught the guy at a gas station and Hacienda Heights 544 00:29:41,040 --> 00:29:43,200 Speaker 1: we're going to talk after the news at three o'clock 545 00:29:43,560 --> 00:29:46,080 Speaker 1: to the sun. Who was in the home when this 546 00:29:46,120 --> 00:29:48,040 Speaker 1: man came in. We played some of the audio of 547 00:29:48,120 --> 00:29:51,720 Speaker 1: him being interviewed yesterday. He actually grabbed a kitchen knife 548 00:29:51,720 --> 00:29:53,840 Speaker 1: because he thought this was a threat to his family. 549 00:29:54,520 --> 00:29:57,520 Speaker 1: But eventually this guy did grab the keys and went 550 00:29:57,560 --> 00:29:59,400 Speaker 1: and stole the family's pickup truck. And there's been a 551 00:29:59,440 --> 00:30:02,240 Speaker 1: lot of money for them through go fund me. We'll 552 00:30:02,240 --> 00:30:05,480 Speaker 1: talk about all this after three with our guests here 553 00:30:05,520 --> 00:30:07,960 Speaker 1: on the John and Ken Show. We've been following the 554 00:30:08,000 --> 00:30:11,520 Speaker 1: Harvey Weinstein trial, as you know, and one of the 555 00:30:11,520 --> 00:30:14,080 Speaker 1: main reasons for that this being the John and Ken 556 00:30:14,120 --> 00:30:17,320 Speaker 1: Show is because the Jane does that are testifying. We're 557 00:30:17,360 --> 00:30:20,960 Speaker 1: going to be asked specific questions about the man's genitalia, 558 00:30:21,240 --> 00:30:23,560 Speaker 1: because clearly, if he sexually assaulted you, or he was 559 00:30:23,640 --> 00:30:26,280 Speaker 1: naked in front of you, well there's something very particular 560 00:30:26,320 --> 00:30:28,440 Speaker 1: about him that only you would know if you saw 561 00:30:28,480 --> 00:30:32,239 Speaker 1: him naked. And John remembers, well what that particular thing is, 562 00:30:32,680 --> 00:30:35,920 Speaker 1: and he will now tell us once again his testicles 563 00:30:36,080 --> 00:30:41,560 Speaker 1: had been detached and reassigned to his inner thigh. Correct, 564 00:30:42,040 --> 00:30:44,600 Speaker 1: that's because he had an infection that got really serious, 565 00:30:44,640 --> 00:30:47,200 Speaker 1: some sort of bacterial infections. So he turned to take 566 00:30:47,320 --> 00:30:50,479 Speaker 1: like gang Green. Yeah, they had to do that, I 567 00:30:50,480 --> 00:30:54,720 Speaker 1: guess to save the entire part test collectomy. A test 568 00:30:54,840 --> 00:30:58,520 Speaker 1: collectomy never did find out they'll had that functions. Did 569 00:30:58,520 --> 00:31:03,400 Speaker 1: we know? Um, like I wondered, can he because I 570 00:31:03,400 --> 00:31:08,240 Speaker 1: mean that's where that's where the the sperms manufacturer. Yes, 571 00:31:08,400 --> 00:31:13,240 Speaker 1: could he actually still father children with this reassignment or 572 00:31:13,280 --> 00:31:18,440 Speaker 1: would he just shoot blanks? Right? Yeah? Because he seems 573 00:31:18,680 --> 00:31:21,080 Speaker 1: supposedly pleasuring himself in front of the women. So clearly 574 00:31:21,080 --> 00:31:23,320 Speaker 1: he was doing that because it seemed like a you know, 575 00:31:23,360 --> 00:31:26,400 Speaker 1: a lot of a lot of plumbing would get caught there. 576 00:31:28,080 --> 00:31:30,440 Speaker 1: Don't you think that was a consequence of his behavior 577 00:31:30,520 --> 00:31:33,560 Speaker 1: that that happened to him? Yes, Yes, he he betted 578 00:31:33,560 --> 00:31:36,000 Speaker 1: down with some It's like some kind of std is 579 00:31:36,040 --> 00:31:38,160 Speaker 1: it not. He had to be I mean, I mean, 580 00:31:38,240 --> 00:31:40,160 Speaker 1: look at look at what he's done. He betted down 581 00:31:40,240 --> 00:31:45,680 Speaker 1: someone really nasty. I mean, just somebody who is well, 582 00:31:45,760 --> 00:31:48,360 Speaker 1: science is a marvel with what they can do. So 583 00:31:48,680 --> 00:31:52,640 Speaker 1: with that story as an introduction the testicles in the thigh, 584 00:31:52,680 --> 00:31:55,680 Speaker 1: we're not going to tell you about a frenchwoman only 585 00:31:55,760 --> 00:31:59,640 Speaker 1: known as Karine, age fifty, who grew a nose on 586 00:31:59,680 --> 00:32:04,120 Speaker 1: her own arm. We're not kidding you. She was ravaged 587 00:32:04,160 --> 00:32:09,680 Speaker 1: by sinus slash nasal cancer in the year twenty thirteen. 588 00:32:10,360 --> 00:32:13,120 Speaker 1: It was so bad that to keep it from spreading, 589 00:32:13,920 --> 00:32:17,160 Speaker 1: they had to cut her real nose off to get 590 00:32:17,200 --> 00:32:20,200 Speaker 1: in there and treat the cancer. And they did save 591 00:32:20,280 --> 00:32:22,200 Speaker 1: her life. Did they attach it to her arm or 592 00:32:22,840 --> 00:32:25,200 Speaker 1: they grew a new one? They grew a new one. 593 00:32:25,600 --> 00:32:29,640 Speaker 1: Had they do that? Well, it says here the doctors 594 00:32:29,680 --> 00:32:33,080 Speaker 1: created a custom made nose using three D printed bio 595 00:32:33,200 --> 00:32:37,320 Speaker 1: material and kept it on ice until technology allowed them 596 00:32:37,840 --> 00:32:41,680 Speaker 1: to go another step, and this year that structure was 597 00:32:41,720 --> 00:32:45,360 Speaker 1: implanted under the skin in her forearm, where the cells 598 00:32:45,360 --> 00:32:48,840 Speaker 1: and blood vessels grow into the device over the two 599 00:32:48,880 --> 00:32:52,080 Speaker 1: months this story. If you look, John came with pictures. 600 00:32:53,480 --> 00:32:56,800 Speaker 1: One shows the device early on, and then you can 601 00:32:56,840 --> 00:32:59,720 Speaker 1: see some time later it does look like a real 602 00:32:59,840 --> 00:33:02,000 Speaker 1: nose on her arm. That is, it looks like a nose. 603 00:33:02,160 --> 00:33:05,719 Speaker 1: Is that nose was then removed from her arm and 604 00:33:05,760 --> 00:33:09,160 Speaker 1: put in place on her face? What happened when she 605 00:33:09,240 --> 00:33:15,600 Speaker 1: sneezed before or after? What it was on the arm? Oh, 606 00:33:15,680 --> 00:33:19,360 Speaker 1: I don't know that that nose sneezes. Is it connected 607 00:33:19,360 --> 00:33:22,040 Speaker 1: to the sinus or is it just growing all? I 608 00:33:22,040 --> 00:33:24,120 Speaker 1: don't know. I mean that's that's what you need. A 609 00:33:24,160 --> 00:33:26,800 Speaker 1: nose forward part right. Excuse me? Did your arm sneeze? 610 00:33:29,600 --> 00:33:31,080 Speaker 1: Is that a nose in your arm? You're just happy 611 00:33:31,120 --> 00:33:35,680 Speaker 1: to see me. The nose was implanted on her face. 612 00:33:35,680 --> 00:33:37,960 Speaker 1: The blood vessels inside it were then attached to those 613 00:33:37,960 --> 00:33:41,960 Speaker 1: in her temples. She is thrilled she can breathe better 614 00:33:42,000 --> 00:33:46,280 Speaker 1: and smell her garden. That was important to her. As 615 00:33:46,280 --> 00:33:47,760 Speaker 1: we told you about the guy back in May that 616 00:33:48,400 --> 00:33:52,480 Speaker 1: had a penis growing on his forearm. Yes, I remember that. Yeah, 617 00:33:52,520 --> 00:33:56,240 Speaker 1: so this is a similar technique, only involved the nose. 618 00:33:56,360 --> 00:33:58,000 Speaker 1: I never found out what happened to him when he 619 00:33:58,040 --> 00:34:02,360 Speaker 1: got excited. These are these are key questions? Are they 620 00:34:02,360 --> 00:34:06,200 Speaker 1: not the first thing I think of? They? They? Yeah, 621 00:34:06,240 --> 00:34:08,719 Speaker 1: they have a diagram here. Three D printer create a 622 00:34:08,719 --> 00:34:12,239 Speaker 1: copy of original nose using porous bio material structure and 623 00:34:12,280 --> 00:34:15,120 Speaker 1: planted under skin and forearm. Then the cells and blood 624 00:34:15,160 --> 00:34:17,879 Speaker 1: vessels grew into the device over two months, and then 625 00:34:17,920 --> 00:34:20,760 Speaker 1: a new organ transfer onto her face and blood vessels 626 00:34:20,800 --> 00:34:24,239 Speaker 1: were reattached. Patient was discharged after ten days and says, 627 00:34:24,280 --> 00:34:26,560 Speaker 1: she can smell again. I don't know what it looks 628 00:34:26,600 --> 00:34:28,919 Speaker 1: like on her face. I would imagine it looks fine 629 00:34:28,920 --> 00:34:30,880 Speaker 1: and look good on the arm. There. I told you 630 00:34:30,920 --> 00:34:33,440 Speaker 1: about the guy who sat next to me at a counter, 631 00:34:33,760 --> 00:34:37,040 Speaker 1: at a restaurant counter and he had no nose. You did, 632 00:34:37,120 --> 00:34:41,040 Speaker 1: and you had nothing covering it. No, just two air holes. No, 633 00:34:41,200 --> 00:34:44,799 Speaker 1: he just turned towards me and there were just two 634 00:34:44,800 --> 00:34:48,719 Speaker 1: air holes looking at me, and it completely freaking no protruding, no, 635 00:34:48,840 --> 00:34:51,600 Speaker 1: no nose. I just saw like right right us to flat, 636 00:34:51,680 --> 00:34:53,800 Speaker 1: kind of right into his skull, and I was about 637 00:34:53,800 --> 00:34:57,719 Speaker 1: to eat, and I just really freaked me out because 638 00:34:57,719 --> 00:34:59,759 Speaker 1: I didn't expect it. I didn't know, you know, we 639 00:34:59,760 --> 00:35:02,600 Speaker 1: were kind of hunched together at the counter. This is 640 00:35:02,600 --> 00:35:05,759 Speaker 1: a burger place. It looks over and it's like, oh, 641 00:35:06,160 --> 00:35:09,440 Speaker 1: you know, I'm a shouted because you just don't expect that. 642 00:35:09,640 --> 00:35:12,640 Speaker 1: I couldn't eat. I've never gone back there. Every time 643 00:35:12,680 --> 00:35:15,440 Speaker 1: I go there, I think of it. Now. She's going 644 00:35:15,480 --> 00:35:19,160 Speaker 1: to need a third operation because she doesn't really have 645 00:35:19,200 --> 00:35:22,759 Speaker 1: any sensation in the nose. She can't really feel it 646 00:35:22,920 --> 00:35:25,839 Speaker 1: or something like that. She's not gonna smell with it, right, Yeah, 647 00:35:25,840 --> 00:35:28,839 Speaker 1: she can smell, She says, she's hand. Yes, she wants 648 00:35:28,840 --> 00:35:32,040 Speaker 1: to smell her garden. Yeah, it's not great. It's better 649 00:35:32,080 --> 00:35:34,040 Speaker 1: than it was before. I just thought it was cosmetic, 650 00:35:34,080 --> 00:35:36,960 Speaker 1: just so she'd look normal. No, she can smell with 651 00:35:37,000 --> 00:35:39,960 Speaker 1: it because it's actually with the biomaterial in the way 652 00:35:39,960 --> 00:35:42,600 Speaker 1: it grew in a friend with the skin. It's it's 653 00:35:42,719 --> 00:35:46,759 Speaker 1: not perfect, but it's closer to a real nose than 654 00:35:46,840 --> 00:35:48,799 Speaker 1: you would expect. You know, if I had to give 655 00:35:48,840 --> 00:35:50,600 Speaker 1: up one sense, it would be the sense of smell. 656 00:35:52,120 --> 00:35:54,920 Speaker 1: Is that right? Yeah, I guess, and you consider the sense. 657 00:35:55,080 --> 00:35:56,640 Speaker 1: Nobody wants to give up their sight, of their hearing 658 00:35:56,719 --> 00:35:59,719 Speaker 1: or their vision, right, right, because the most things smell 659 00:35:59,760 --> 00:36:02,600 Speaker 1: bad to me anyway, So yeah, I find it more 660 00:36:02,600 --> 00:36:07,319 Speaker 1: of a problem than it I was going to say. 661 00:36:07,320 --> 00:36:12,080 Speaker 1: You wouldn't you would never smell my perfume. Perfume, but 662 00:36:13,080 --> 00:36:16,160 Speaker 1: very nice of you. Make sure you put that in 663 00:36:16,200 --> 00:36:19,799 Speaker 1: there most other things and most other people. And all right. 664 00:36:19,880 --> 00:36:23,160 Speaker 1: Our guest next is Andres Benitas. I guess I got 665 00:36:23,200 --> 00:36:25,279 Speaker 1: all up my arm to you. Cit He had just 666 00:36:25,320 --> 00:36:27,879 Speaker 1: come home from work to the house in Whittier. Can 667 00:36:27,920 --> 00:36:32,759 Speaker 1: I see if you're perfume? Way family has a landscaping 668 00:36:32,800 --> 00:36:35,360 Speaker 1: business and a guy it was part of a police 669 00:36:35,400 --> 00:36:38,560 Speaker 1: chase came running into their home and eventually stole their 670 00:36:38,600 --> 00:36:41,960 Speaker 1: work truck. I'll talk about the ordeal Johnny Ken caf 671 00:36:42,000 --> 00:36:44,879 Speaker 1: I Am six forty Live Everywhere on the iHeart Radio app, 672 00:36:44,920 --> 00:36:46,640 Speaker 1: and Devin Mark Live in the twenty four Hour Cafe 673 00:36:46,719 --> 00:36:47,160 Speaker 1: news Room