1 00:00:00,120 --> 00:00:02,800 Speaker 1: Run from one until four. Now one until four, and 2 00:00:02,960 --> 00:00:05,920 Speaker 1: you can hear the whole show on the iHeartRadio app 3 00:00:06,040 --> 00:00:09,639 Speaker 1: via podcast. Just go to the podcasts and type in 4 00:00:09,760 --> 00:00:11,559 Speaker 1: John and Kent on demand and then you could hear 5 00:00:11,640 --> 00:00:13,880 Speaker 1: us whenever you want, day at night. I have a question. 6 00:00:14,400 --> 00:00:18,439 Speaker 1: During heat emergencies, right, they're always telling you where the 7 00:00:18,480 --> 00:00:23,560 Speaker 1: cooling stations are. Yes, during this big rainstorm emergency, are 8 00:00:23,600 --> 00:00:27,400 Speaker 1: their drawing rooms that we can go to or places 9 00:00:27,520 --> 00:00:31,200 Speaker 1: we can get refuge from flooding? That's right, fly ground places, 10 00:00:31,280 --> 00:00:33,400 Speaker 1: that's right. Yeah, is there any well, that's a good question. 11 00:00:33,479 --> 00:00:35,199 Speaker 1: Place to run to dry? I have to reach out 12 00:00:35,240 --> 00:00:39,000 Speaker 1: to the California Emergency Office to find that out, or 13 00:00:39,040 --> 00:00:41,680 Speaker 1: to the City of LA's emergency office. They got all 14 00:00:41,680 --> 00:00:44,680 Speaker 1: these emergency offices. That's a good question. Where do we go? 15 00:00:44,800 --> 00:00:47,000 Speaker 1: I don't know. I don't hear the usual level of hysteria. 16 00:00:47,280 --> 00:00:49,600 Speaker 1: You know, places we can escape to to avoid weather. 17 00:00:50,000 --> 00:00:51,839 Speaker 1: And I wanted to point this out every hour. But 18 00:00:51,880 --> 00:00:53,840 Speaker 1: just a few months ago, they were predicting a Law 19 00:00:53,960 --> 00:00:57,560 Speaker 1: Nina winter, which means dryer conditions. Ninety one percent chance 20 00:00:59,200 --> 00:01:02,760 Speaker 1: of the draft chenuing because of La Nina. Right, Yes, 21 00:01:02,840 --> 00:01:04,839 Speaker 1: and they'll tell us. Well, this is just a blip, 22 00:01:04,880 --> 00:01:07,840 Speaker 1: but it's not enough. The next week, man, that'll be enough. 23 00:01:08,120 --> 00:01:11,399 Speaker 1: That's sorry. You know what next year in September, all 24 00:01:11,440 --> 00:01:15,000 Speaker 1: the same stupid wrong experts will be quoted again with 25 00:01:15,080 --> 00:01:17,880 Speaker 1: their prediction. Yeah, you know. It's also turned out last 26 00:01:17,959 --> 00:01:20,560 Speaker 1: year's fires weren't as bad as they has been, so 27 00:01:20,680 --> 00:01:22,640 Speaker 1: you know now, I thought you're trying to get you 28 00:01:22,680 --> 00:01:25,480 Speaker 1: to believe everything is trending up right, no rain and 29 00:01:25,600 --> 00:01:27,880 Speaker 1: more fires, We're gonna burn up. And here we go 30 00:01:28,000 --> 00:01:29,800 Speaker 1: until it flooded and we didn't have as many fire 31 00:01:29,959 --> 00:01:35,760 Speaker 1: until it stops, good lord. In fifteen minutes, it's the 32 00:01:35,920 --> 00:01:39,800 Speaker 1: KFI Cash Refilled Contest. You'll hear the final keyword of 33 00:01:39,840 --> 00:01:42,720 Speaker 1: the day on our show for you a chance to 34 00:01:42,720 --> 00:01:45,880 Speaker 1: win a thousand dollars. The keywords do continue though into 35 00:01:45,880 --> 00:01:50,400 Speaker 1: the Conway Show after four o'clock until six twenty. Well, 36 00:01:50,440 --> 00:01:53,760 Speaker 1: the Wall Street Journal ran a pretty good opinion column recently. 37 00:01:53,920 --> 00:01:58,520 Speaker 1: The title was the Blue state Exodus continues. The latest 38 00:01:58,560 --> 00:02:03,000 Speaker 1: census data show Californy and you're losing Florida gaining from 39 00:02:03,160 --> 00:02:07,840 Speaker 1: US domestic migration. And this is from the Census Bureau. 40 00:02:08,760 --> 00:02:10,400 Speaker 1: They put out a report near the end of the 41 00:02:10,480 --> 00:02:14,600 Speaker 1: year every year their annual assessment of US migration. You know, 42 00:02:14,760 --> 00:02:16,799 Speaker 1: it shows you knew something. Is such a liar because 43 00:02:17,000 --> 00:02:19,920 Speaker 1: for years he claimed there was no migration out people 44 00:02:19,960 --> 00:02:22,560 Speaker 1: were not leaving, and then he bizarrely blamed it on 45 00:02:22,760 --> 00:02:28,200 Speaker 1: Donald Trump, saying that Trump wouldn't let foreign workers in 46 00:02:28,320 --> 00:02:33,120 Speaker 1: tech renew their visas. And I'm looking at this list, 47 00:02:33,240 --> 00:02:35,359 Speaker 1: It's like, wow, in a year, there must have been 48 00:02:35,400 --> 00:02:39,280 Speaker 1: three hundred and forty three thousand tech workers that had 49 00:02:39,320 --> 00:02:46,000 Speaker 1: their visas denied. Yeah, the US population grew by one 50 00:02:46,080 --> 00:02:49,240 Speaker 1: point two million between July twenty twenty one and July 51 00:02:49,320 --> 00:02:53,040 Speaker 1: twenty twenty two. Foreign immigration a big part of that. 52 00:02:53,680 --> 00:02:56,960 Speaker 1: But here's a stat. Texas and Florida make up about 53 00:02:57,000 --> 00:02:59,760 Speaker 1: fifteen percent of the US population, but they accounted for 54 00:02:59,800 --> 00:03:03,200 Speaker 1: seventy percent of the population growth this past year. Think 55 00:03:03,200 --> 00:03:08,320 Speaker 1: about that. That's where people went to live once again. 56 00:03:08,480 --> 00:03:11,560 Speaker 1: It's called they voted with their feet and they decided 57 00:03:11,600 --> 00:03:14,520 Speaker 1: to move out of states like California, New York, and Illinois. 58 00:03:15,000 --> 00:03:20,440 Speaker 1: Those are the three that lost the most residents. New Jersey, Pennsylvania, Michigan. 59 00:03:20,480 --> 00:03:23,040 Speaker 1: When I read this, it's sad because it's like now 60 00:03:23,040 --> 00:03:25,440 Speaker 1: We're now included in the rust belt states or the 61 00:03:25,480 --> 00:03:29,560 Speaker 1: old dying East Coast states were dying. We're dying. Well. 62 00:03:29,600 --> 00:03:33,000 Speaker 1: Oregon made the list too, well, They're dying. Yeah. Well. 63 00:03:33,040 --> 00:03:35,760 Speaker 1: The opinion column points out that some of its crime 64 00:03:36,080 --> 00:03:39,880 Speaker 1: and homelessness progressive policies, people are like, here's the line. 65 00:03:40,920 --> 00:03:43,760 Speaker 1: People don't want to live, let alone raise children. Were homeless, 66 00:03:43,760 --> 00:03:46,520 Speaker 1: people camp on the sidewalks, and the whiff of skunk 67 00:03:46,560 --> 00:03:51,480 Speaker 1: weed is impossible to escape. That's my joke too. When 68 00:03:51,520 --> 00:03:54,080 Speaker 1: I walk around, we smell marijuana. I was saying, where's 69 00:03:54,080 --> 00:03:57,680 Speaker 1: the skunk? Oh, it's it's more foul smelling than I 70 00:03:57,760 --> 00:04:01,840 Speaker 1: ever remember. Whatever the new the new crop is made of. 71 00:04:01,960 --> 00:04:06,280 Speaker 1: I know, it's more stronger, more powerful than before. And 72 00:04:06,280 --> 00:04:08,360 Speaker 1: it's one of the worst smells ever. I mean, I 73 00:04:08,440 --> 00:04:13,000 Speaker 1: just smack my head because for all the hoopla about 74 00:04:13,400 --> 00:04:18,160 Speaker 1: how cigarette smoking, you know, foul the air, are people 75 00:04:18,200 --> 00:04:22,840 Speaker 1: are really comfortable smelling this disgusting weed. I mean, it's 76 00:04:22,960 --> 00:04:26,679 Speaker 1: it's it's really awful. You. I just and do people 77 00:04:26,760 --> 00:04:29,960 Speaker 1: really smoke this crap in their house and their whole 78 00:04:30,000 --> 00:04:33,599 Speaker 1: house smells like it? I just thought the odor is 79 00:04:33,680 --> 00:04:36,680 Speaker 1: so overwhelming, it's so powerful. Oh, I saw something funny. 80 00:04:37,200 --> 00:04:39,480 Speaker 1: I've been what we've been watching some episodes of the Crown, 81 00:04:39,520 --> 00:04:42,919 Speaker 1: you know in the British Royal Family. Yeah, all right, 82 00:04:43,080 --> 00:04:45,839 Speaker 1: they have a warning at the beginning of every episode. 83 00:04:46,040 --> 00:04:47,880 Speaker 1: They have it for most TV shows. You know what 84 00:04:48,080 --> 00:04:51,039 Speaker 1: offensive material might be in there, and so there's a 85 00:04:51,080 --> 00:04:57,640 Speaker 1: warning about strong language, right, profanity, um, nudity, uh, you know, 86 00:04:58,000 --> 00:05:01,839 Speaker 1: sexual scenes. And then the last when it's smoking. And 87 00:05:01,920 --> 00:05:05,159 Speaker 1: I saw that, I started cracking up. I got smoking. Yeah, 88 00:05:05,279 --> 00:05:10,560 Speaker 1: it's now just seeing smoking. Well, there's been a campaign 89 00:05:10,640 --> 00:05:12,880 Speaker 1: to keep smoking out of movies. They've been trying to 90 00:05:12,920 --> 00:05:16,320 Speaker 1: do that, right, but these are period pieces back when 91 00:05:16,480 --> 00:05:19,120 Speaker 1: you know, half half the world smoke. Yeah, so you 92 00:05:19,520 --> 00:05:21,480 Speaker 1: have to have it as part of the scene if 93 00:05:21,480 --> 00:05:23,479 Speaker 1: you really want to recreate what life was like. And 94 00:05:23,520 --> 00:05:25,440 Speaker 1: it just cracked me up. It's like, oh my god, 95 00:05:25,720 --> 00:05:31,640 Speaker 1: you know, a foul language, violence, sex scenes, nudity and smoking. 96 00:05:31,720 --> 00:05:36,320 Speaker 1: The worst of all, what if children see other people's smoking. 97 00:05:36,800 --> 00:05:41,159 Speaker 1: Just on that same topic, when The Times publishes movie reviews, 98 00:05:41,240 --> 00:05:43,760 Speaker 1: they still put the for your safety warning in there. 99 00:05:44,720 --> 00:05:46,600 Speaker 1: If you go into the theater, know that you could 100 00:05:46,640 --> 00:05:51,559 Speaker 1: be exposed to COVID, take precautions, do they put warning 101 00:05:51,600 --> 00:05:56,440 Speaker 1: about smoking in movies too, Maybe should be offended. Does 102 00:05:56,480 --> 00:05:58,720 Speaker 1: that change the rating? Like the way you know, an 103 00:05:58,720 --> 00:06:02,680 Speaker 1: explicit sex scene give you an R rating? Right? Does 104 00:06:03,040 --> 00:06:08,719 Speaker 1: smoking scenes also get you into our territory? This editorial 105 00:06:08,760 --> 00:06:11,280 Speaker 1: by the Wall Street Journal points out that, of course 106 00:06:11,279 --> 00:06:14,200 Speaker 1: Florida has no income tax, it has an expansive private 107 00:06:14,240 --> 00:06:17,800 Speaker 1: school choice program. It also doesn't smother businesses with regulation, 108 00:06:18,440 --> 00:06:22,120 Speaker 1: and the governor doesn't run ads in progressive states. Florida 109 00:06:22,200 --> 00:06:26,280 Speaker 1: sells itself. And that's of course a gibe at our 110 00:06:26,360 --> 00:06:29,960 Speaker 1: governor who ran ads in Florida proclaiming that California is 111 00:06:29,960 --> 00:06:34,400 Speaker 1: more free. What nonsense with all the COVID lockdown restrictions 112 00:06:34,400 --> 00:06:36,840 Speaker 1: we have and everything else, Like you could have abortions, 113 00:06:37,839 --> 00:06:41,120 Speaker 1: no restriction, that is free. That's his idea of freedom. 114 00:06:41,760 --> 00:06:43,760 Speaker 1: I will even pay for him. It's even Fritz right. 115 00:06:44,040 --> 00:06:48,280 Speaker 1: Free abortions. We're so free here. We give out free abortions. 116 00:06:48,400 --> 00:06:51,640 Speaker 1: Come on in, we'll kill your fetus for you and 117 00:06:51,720 --> 00:07:00,560 Speaker 1: we won't even charge. Yeah, there have been employment lags, California, Illinois, 118 00:07:00,640 --> 00:07:03,880 Speaker 1: New York still down, whereas the states that are getting 119 00:07:03,880 --> 00:07:06,960 Speaker 1: the people are obviously also getting the jobs. These are 120 00:07:07,000 --> 00:07:10,320 Speaker 1: just the true, the true story from the census numbers, 121 00:07:10,920 --> 00:07:14,240 Speaker 1: because it doesn't matter what governors say, what politicians, other 122 00:07:14,280 --> 00:07:18,320 Speaker 1: politicians say that the lies are revealed when you see 123 00:07:18,320 --> 00:07:20,640 Speaker 1: the numbers of people who are actually leaving. Just do 124 00:07:20,720 --> 00:07:28,000 Speaker 1: a headcount. Now, the total population growth, which includes you know, births, immigration, 125 00:07:28,360 --> 00:07:32,840 Speaker 1: and people moving from other states. Texas gained almost a 126 00:07:32,880 --> 00:07:35,920 Speaker 1: half a million people, four hundred seventy thousand. In Florida 127 00:07:35,960 --> 00:07:38,800 Speaker 1: four hundred and sixteen thousand. Now, we know some people 128 00:07:38,840 --> 00:07:42,120 Speaker 1: in Florida and they said, there's so many people coming 129 00:07:42,160 --> 00:07:48,000 Speaker 1: so fast. There's condo construction going up everywhere. Housing prices 130 00:07:48,080 --> 00:07:51,960 Speaker 1: in some neighborhoods have doubled and tripled, and schools are 131 00:07:51,960 --> 00:07:53,720 Speaker 1: getting filled up. Who are they because every time I 132 00:07:53,720 --> 00:07:55,520 Speaker 1: talk to people out hear they just dis Florida. Oh 133 00:07:55,520 --> 00:07:57,960 Speaker 1: it's another Florida story. Gout got his face chewed off 134 00:07:58,000 --> 00:08:00,320 Speaker 1: and some crazy person. All right, you got to go 135 00:08:00,400 --> 00:08:04,720 Speaker 1: if you go Inland. There's a lot of rural towns Inland, 136 00:08:04,800 --> 00:08:08,680 Speaker 1: trailer towns in Florida. You mean, yeah, yeah, you know, 137 00:08:08,960 --> 00:08:11,320 Speaker 1: like there's something. Some of the cities are really beautiful 138 00:08:11,360 --> 00:08:15,720 Speaker 1: and they're upscale and they're building out like crazy and 139 00:08:15,760 --> 00:08:17,600 Speaker 1: then you get off on a you know, a two 140 00:08:17,680 --> 00:08:22,280 Speaker 1: lane highway some of the side roads and you'll go 141 00:08:22,360 --> 00:08:27,080 Speaker 1: into well, you know, it's like deliverance Land, right. And 142 00:08:28,120 --> 00:08:31,520 Speaker 1: I did this once by accident because my in laws 143 00:08:31,880 --> 00:08:33,360 Speaker 1: when they were alive, they lived in Florida, and we 144 00:08:33,400 --> 00:08:35,000 Speaker 1: used to take the kids they were every year. And 145 00:08:35,120 --> 00:08:36,960 Speaker 1: one day, I don't know, everybody was gone, and I 146 00:08:36,960 --> 00:08:39,400 Speaker 1: took a bike ride by myself, just for fun, and 147 00:08:39,600 --> 00:08:42,280 Speaker 1: I went to the town of Honiko. Oh my god. 148 00:08:43,240 --> 00:08:47,679 Speaker 1: They weren't even human there. No, they were so trashy. 149 00:08:48,080 --> 00:08:51,600 Speaker 1: That was just nothing but beards and tattoos and revved 150 00:08:51,679 --> 00:08:56,160 Speaker 1: up engines and motorcycles and people yelled at each other 151 00:08:56,360 --> 00:09:00,600 Speaker 1: and like all these seven elevens and trailers and they're 152 00:09:00,679 --> 00:09:05,160 Speaker 1: very aggressive and loud as Oh this was nothing like 153 00:09:05,160 --> 00:09:12,319 Speaker 1: like Sarasota. Truly frightening a little subspecies. Oh, that may 154 00:09:12,360 --> 00:09:14,520 Speaker 1: be the people that are moving there because it's a 155 00:09:14,600 --> 00:09:16,839 Speaker 1: cheaper place, and that we need to save. Those are 156 00:09:17,000 --> 00:09:19,319 Speaker 1: people who get jacked up and jacked up on meth 157 00:09:19,400 --> 00:09:23,199 Speaker 1: and they'll bite your face off. All right, come it 158 00:09:23,320 --> 00:09:26,520 Speaker 1: up when we return A keyword for a chance to 159 00:09:26,559 --> 00:09:29,559 Speaker 1: win a thousand dollars in our KFI cash refill contest 160 00:09:29,800 --> 00:09:32,800 Speaker 1: Johnny Ken KF I Am six forty live everywhere in 161 00:09:32,880 --> 00:09:35,160 Speaker 1: the iHeart Radio app All right now an updated the 162 00:09:35,160 --> 00:09:38,200 Speaker 1: story that of course has got people's attention for the 163 00:09:38,280 --> 00:09:41,320 Speaker 1: last day or so, and that's what happened to the 164 00:09:41,320 --> 00:09:46,160 Speaker 1: Buffalo Bills football player Damar Hamlin, a safety who collapsed 165 00:09:46,200 --> 00:09:48,360 Speaker 1: on the field and went to cardiac arrest during the 166 00:09:48,400 --> 00:09:52,400 Speaker 1: Monday night game between Buffalo and Cincinnati. The family put 167 00:09:52,400 --> 00:09:56,560 Speaker 1: out a tweet today that he's in critical condition but 168 00:09:56,640 --> 00:10:01,080 Speaker 1: has signs of improvement from yesterday and overnight. It will 169 00:10:01,120 --> 00:10:05,760 Speaker 1: remain under intensive care. They're monitoring and treating him. Also, 170 00:10:05,880 --> 00:10:08,240 Speaker 1: they wanted to clarify that he only had to be 171 00:10:08,280 --> 00:10:10,920 Speaker 1: resuscitated once. There. I guess the reports that went out 172 00:10:11,440 --> 00:10:13,760 Speaker 1: that they had to restart his heart for a second time, 173 00:10:13,800 --> 00:10:17,800 Speaker 1: but they're now saying that's not what happened. Well, we 174 00:10:17,840 --> 00:10:20,280 Speaker 1: don't know, and of course it's great that he's recovering. 175 00:10:20,360 --> 00:10:23,199 Speaker 1: Is whether or not there's any brain damage or any 176 00:10:23,240 --> 00:10:27,800 Speaker 1: other long term effects from this cardiac event that occurred 177 00:10:27,800 --> 00:10:32,160 Speaker 1: on the football field. Now reporters have dug out and 178 00:10:32,280 --> 00:10:37,240 Speaker 1: I kind of remember when this happened, although different time 179 00:10:38,120 --> 00:10:42,400 Speaker 1: nineteen seventy one, a Detroit Lion's wide receiver by the 180 00:10:42,480 --> 00:10:45,320 Speaker 1: name of Chuck Hughes did die of a heart attack 181 00:10:46,160 --> 00:10:51,520 Speaker 1: during a football game. A blood clot dislodged after he 182 00:10:51,640 --> 00:10:57,640 Speaker 1: was tackled, and his widow was actually watching the game 183 00:10:57,679 --> 00:11:02,600 Speaker 1: Monday night, so she was in interviewed by NBC News. 184 00:11:02,679 --> 00:11:08,040 Speaker 1: Her name was Sharon Ughs and the story with this man. 185 00:11:08,160 --> 00:11:11,160 Speaker 1: It was October of nineteen seventy one. He was a 186 00:11:11,160 --> 00:11:14,320 Speaker 1: wide receiver for the Lions. He came into the game 187 00:11:14,400 --> 00:11:17,320 Speaker 1: to replace an injured teammate in the fourth quarter. The 188 00:11:17,440 --> 00:11:20,080 Speaker 1: Lions were trailing by five points. He caught a thirty 189 00:11:20,080 --> 00:11:23,240 Speaker 1: two yard pass that was his first catch of this season. 190 00:11:23,679 --> 00:11:27,360 Speaker 1: He was tackled a few plays later, with just sixty 191 00:11:27,360 --> 00:11:29,440 Speaker 1: two seconds left in the game. He fell face down 192 00:11:29,480 --> 00:11:34,320 Speaker 1: to the ground, clutching his chest. They worked on him, 193 00:11:34,960 --> 00:11:38,760 Speaker 1: they carted him off on a stretcher. They tried to 194 00:11:38,760 --> 00:11:42,559 Speaker 1: revive him at the hospital, but he died. One Bears 195 00:11:42,600 --> 00:11:47,160 Speaker 1: defensive end said that I knew something horrible had happened 196 00:11:47,200 --> 00:11:49,160 Speaker 1: because when they were rolling Chuck off the field, one 197 00:11:49,200 --> 00:11:51,600 Speaker 1: of his arms fell down and his hand was flopping 198 00:11:51,600 --> 00:11:55,480 Speaker 1: around back and forth, and I thought to myself, Holy Christ, 199 00:11:55,559 --> 00:12:00,160 Speaker 1: I think he's dead. The game resumed. There's also something 200 00:12:00,200 --> 00:12:03,199 Speaker 1: else that was noted in the story. Now there's only 201 00:12:03,200 --> 00:12:05,600 Speaker 1: a minute left. His body off the field. Come on, 202 00:12:06,160 --> 00:12:09,360 Speaker 1: they did resume the game. We got another minute to play. 203 00:12:09,800 --> 00:12:13,320 Speaker 1: Clearly this was a similar situation to what happened Monday night, 204 00:12:13,400 --> 00:12:17,520 Speaker 1: but the game did finish, although the crowd was pretty shocked. 205 00:12:18,120 --> 00:12:21,200 Speaker 1: I don't think they knew exactly. I mean, just because 206 00:12:21,200 --> 00:12:22,960 Speaker 1: they put somebody a stretcher and caught him off, you 207 00:12:22,960 --> 00:12:25,600 Speaker 1: don't know. It was very little communication back then too. 208 00:12:26,600 --> 00:12:30,360 Speaker 1: There was exactly right. And as the Sun points out, 209 00:12:30,400 --> 00:12:34,040 Speaker 1: the Sun Brandon news is now fifty three. He says, 210 00:12:34,080 --> 00:12:38,280 Speaker 1: it's a long time ago, and they have a much 211 00:12:38,320 --> 00:12:42,319 Speaker 1: more medical options available to treat somebody who falls into 212 00:12:42,400 --> 00:12:47,320 Speaker 1: this situation. The autopsy showed he had undiagnosed heart disease 213 00:12:48,000 --> 00:12:51,359 Speaker 1: and that a blood clot in a clogged artery had dislodged. 214 00:12:52,120 --> 00:12:54,640 Speaker 1: That I guess was from the tackle, possibly from a 215 00:12:54,720 --> 00:12:58,360 Speaker 1: hit he took during the game, and they also think 216 00:12:58,400 --> 00:13:03,120 Speaker 1: that it was probably his set heart attack. The first 217 00:13:03,320 --> 00:13:07,439 Speaker 1: seemed to have gone unnoticed. He had been hospitalized seven 218 00:13:07,480 --> 00:13:09,880 Speaker 1: weeks before for what doctors told the family appeared to 219 00:13:09,880 --> 00:13:14,280 Speaker 1: be a spleen, lung or kidney injury. But yeah, and 220 00:13:14,440 --> 00:13:16,520 Speaker 1: he passed away and left behind a two year old 221 00:13:16,679 --> 00:13:21,200 Speaker 1: who was now fifty three. Brandon News was also interviewed story. 222 00:13:21,240 --> 00:13:27,199 Speaker 1: He must add a genetic condition that produced too much cholesterol, 223 00:13:27,240 --> 00:13:30,520 Speaker 1: too much plaque in his bloodstream. Now, because I knew 224 00:13:30,520 --> 00:13:33,320 Speaker 1: a guy, my friend's dad died of that pretty young. 225 00:13:33,720 --> 00:13:37,640 Speaker 1: They could not get his cholesterol down at all. It 226 00:13:37,760 --> 00:13:41,200 Speaker 1: was like skyrocketing numbers. Even if they put him on 227 00:13:41,200 --> 00:13:45,760 Speaker 1: a zero fat diet. They eliminated anything possible that could 228 00:13:45,840 --> 00:13:48,079 Speaker 1: lead to that condition, and it kept going up anyway, 229 00:13:48,640 --> 00:13:53,440 Speaker 1: and eventually, Yeah, some people are just cholesterol producers. Yeah. Yeah, 230 00:13:53,480 --> 00:13:57,840 Speaker 1: it's kind of a weird thing. Another story in the news. 231 00:13:58,120 --> 00:14:01,960 Speaker 1: And this was really bizarre. I think there were days 232 00:14:01,960 --> 00:14:04,360 Speaker 1: when he used to call it, Wow, what a way 233 00:14:04,400 --> 00:14:08,240 Speaker 1: to go. A worker on the ground at the airport 234 00:14:09,520 --> 00:14:16,040 Speaker 1: at Montgomery Regional Airport in Alabama was killed. Apparently a 235 00:14:16,240 --> 00:14:21,640 Speaker 1: plane had recently landed, came in from Dallas Fort Worth. 236 00:14:22,320 --> 00:14:26,360 Speaker 1: It was parked at the gate and its parking break 237 00:14:26,400 --> 00:14:30,360 Speaker 1: on when a ground support person was ingested into the engine. 238 00:14:30,600 --> 00:14:35,760 Speaker 1: Is that a great phrase? Ingested into the engine. Ingested, 239 00:14:36,400 --> 00:14:39,440 Speaker 1: I would have you sucked. But that's right, you got 240 00:14:39,480 --> 00:14:44,520 Speaker 1: sucked into the engine. Ingested sounds like the plane ate him, Yes, 241 00:14:45,040 --> 00:14:49,280 Speaker 1: like it was some sort of a living creature. You know. 242 00:14:49,520 --> 00:14:52,720 Speaker 1: The first story I saw on this was yesterday, and 243 00:14:52,800 --> 00:14:55,360 Speaker 1: it was so vaguely worded. I kept staring at it, 244 00:14:55,360 --> 00:14:58,960 Speaker 1: and I kept thinking, did he get, you know, chewed 245 00:14:59,000 --> 00:15:02,120 Speaker 1: up in the engine, because that's what it seemed like 246 00:15:02,160 --> 00:15:04,720 Speaker 1: the only way he could have died. And I can't 247 00:15:04,760 --> 00:15:07,000 Speaker 1: tell you what the exact phrasing was, but it seemed 248 00:15:07,000 --> 00:15:10,040 Speaker 1: like the writer was trying very hard not to say 249 00:15:10,080 --> 00:15:13,760 Speaker 1: the obvious because it was so gruesome. I think there's 250 00:15:13,840 --> 00:15:16,360 Speaker 1: more of that now than there used to be, putting 251 00:15:16,400 --> 00:15:19,560 Speaker 1: these stories together because they believe a family member might 252 00:15:19,600 --> 00:15:23,080 Speaker 1: read it right. Well, the family member's gonna know, but 253 00:15:23,120 --> 00:15:25,720 Speaker 1: they don't want to see those words. You know, sucked 254 00:15:25,800 --> 00:15:28,280 Speaker 1: in't and chopped up by the engine that's in the story. 255 00:15:28,280 --> 00:15:31,760 Speaker 1: But well it jested into the engine, that makes it. 256 00:15:31,880 --> 00:15:33,680 Speaker 1: I mean I saw the story too the other day 257 00:15:33,680 --> 00:15:36,240 Speaker 1: and it just an industrial accident, and I said, and 258 00:15:36,240 --> 00:15:38,560 Speaker 1: if I kind of ignored it, yeah, involving an engine. 259 00:15:38,840 --> 00:15:40,840 Speaker 1: But then I saw the headline the USA Today from 260 00:15:40,880 --> 00:15:43,120 Speaker 1: Yahoo that was that he was ingested into the engine. 261 00:15:43,160 --> 00:15:44,880 Speaker 1: I'm like, what the hell, right? And I was thinking 262 00:15:44,920 --> 00:15:48,600 Speaker 1: about how how planes sucked birds in and sometimes the 263 00:15:48,680 --> 00:15:51,320 Speaker 1: birds bring the plane down down right? Did you got 264 00:15:51,360 --> 00:15:54,480 Speaker 1: all this this this bird meat getting ground up? Right? 265 00:15:55,200 --> 00:15:57,520 Speaker 1: And I guess that's what happened here. He just got 266 00:15:57,680 --> 00:16:01,040 Speaker 1: he got sucked in. Yeah, they haven't anified the worker yet, 267 00:16:01,080 --> 00:16:04,920 Speaker 1: employed by Piedmont Airlines, which is an American Airlines regional carrier. 268 00:16:05,720 --> 00:16:09,520 Speaker 1: And uh, well, this will need to new precautions. When 269 00:16:09,560 --> 00:16:11,680 Speaker 1: you park the aircraft at the gate, you better make 270 00:16:11,720 --> 00:16:14,560 Speaker 1: sure the engines are off or on low. I don't know. 271 00:16:15,560 --> 00:16:20,720 Speaker 1: I wondered what was left of him that well, you know, 272 00:16:20,800 --> 00:16:23,640 Speaker 1: there has to be an actual official investigation, so somebody 273 00:16:23,640 --> 00:16:26,440 Speaker 1: had to go and write to do an official identification. 274 00:16:27,200 --> 00:16:29,880 Speaker 1: They stopped all air traffic for a while, oh like 275 00:16:29,920 --> 00:16:33,000 Speaker 1: for six hours after this happened, just because there was 276 00:16:33,360 --> 00:16:37,160 Speaker 1: a potential crime scene. You know, there's always stories I've 277 00:16:37,160 --> 00:16:40,440 Speaker 1: always read, you know about the guys at factories, you 278 00:16:40,480 --> 00:16:47,160 Speaker 1: know they fall into boiling vats of some liquid metal. Yeah, 279 00:16:47,200 --> 00:16:50,880 Speaker 1: that's that app you actually happened last year to some 280 00:16:50,880 --> 00:16:53,480 Speaker 1: some new worker at a plant. He fell into molten 281 00:16:53,640 --> 00:16:56,800 Speaker 1: steel or something, and oh that's it. Yeah, I mean, 282 00:16:57,320 --> 00:17:00,480 Speaker 1: go back a hundred years before they had unions. Guys 283 00:17:00,600 --> 00:17:05,639 Speaker 1: used to die horrific deaths in factories and on construction sites. Jest, 284 00:17:06,040 --> 00:17:10,120 Speaker 1: you know, mind boggling ways to die when equipment valfunctions 285 00:17:10,200 --> 00:17:14,840 Speaker 1: and yeah, people fall allie, we got more now, just 286 00:17:14,880 --> 00:17:17,720 Speaker 1: sit safely in their cubicle. More coming up. John and 287 00:17:17,800 --> 00:17:20,520 Speaker 1: Ken calf i am six forty live everywhere the iHeartRadio 288 00:17:20,520 --> 00:17:23,400 Speaker 1: app processing data. We're on from one until four. Now 289 00:17:23,520 --> 00:17:26,440 Speaker 1: one until four and you can hear the show after 290 00:17:26,480 --> 00:17:30,800 Speaker 1: that on the iHeartRadio app. Go to podcasts, ask for 291 00:17:31,200 --> 00:17:33,600 Speaker 1: John and Ken on demand. That's what you type in 292 00:17:33,680 --> 00:17:35,080 Speaker 1: John and Ken on demand, and then you can hear 293 00:17:35,119 --> 00:17:38,720 Speaker 1: the whole thing anytime of the day or night. Yeah, 294 00:17:38,720 --> 00:17:40,520 Speaker 1: I know. If you got the Moistline coming back day 295 00:17:40,520 --> 00:17:42,960 Speaker 1: after Tomorrow Friday, first one of the year, be a 296 00:17:42,960 --> 00:17:45,480 Speaker 1: part of it. 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Well, there's a story you were 307 00:18:16,720 --> 00:18:20,480 Speaker 1: kind of talking about California city leaders hurry to bring 308 00:18:20,560 --> 00:18:26,800 Speaker 1: homeless residents into shelter before major storm. Oh yeah, because 309 00:18:26,800 --> 00:18:29,240 Speaker 1: you're asking if there was some sort of dry room. 310 00:18:29,600 --> 00:18:32,920 Speaker 1: Dry rooms try to protect people for cooling centers. Right, 311 00:18:33,400 --> 00:18:36,120 Speaker 1: two to four inches of rain in some metro areas, 312 00:18:36,200 --> 00:18:39,879 Speaker 1: four to eight in the mountain areas. Widespread flooding and 313 00:18:39,960 --> 00:18:44,320 Speaker 1: damaging winds are coming by late today into tomorrow. There's 314 00:18:44,320 --> 00:18:46,320 Speaker 1: no tent that you can keep that kind of water out. 315 00:18:47,520 --> 00:18:52,879 Speaker 1: No caps will float away. Yeah. No. In fact, one 316 00:18:52,880 --> 00:18:55,360 Speaker 1: of the ones that's getting attention is that horrible American 317 00:18:55,440 --> 00:18:59,080 Speaker 1: River in your downtown Sacramento. Oh God, that thing has 318 00:18:59,119 --> 00:19:01,359 Speaker 1: so many people living in it, and there's been so 319 00:19:01,480 --> 00:19:05,480 Speaker 1: much fecal matter from the homeless. Remember they were tests 320 00:19:05,480 --> 00:19:08,600 Speaker 1: on the water. It was poisoned its poisoned with the 321 00:19:08,880 --> 00:19:11,880 Speaker 1: vagrant feces. They talked to Mark fifty eight years old, 322 00:19:11,920 --> 00:19:15,080 Speaker 1: who has a tent park next to a levee on 323 00:19:15,160 --> 00:19:17,520 Speaker 1: the American River. But he thinks he's fine, he's on 324 00:19:17,600 --> 00:19:20,879 Speaker 1: higher ground, he believes. Right, Yeah, i'll go, I'll go 325 00:19:20,920 --> 00:19:25,520 Speaker 1: with his judgment. Oh, I'm fine. You're fine, buddy. So 326 00:19:25,520 --> 00:19:28,520 Speaker 1: far everything's worked out. You got you got eight inches 327 00:19:28,560 --> 00:19:31,040 Speaker 1: of rain coming and you've got the right spot next 328 00:19:31,080 --> 00:19:35,119 Speaker 1: to the river. All right. Well, we were treated to 329 00:19:35,160 --> 00:19:38,560 Speaker 1: one of those cheerleading El Segundo time stories that it 330 00:19:38,640 --> 00:19:44,000 Speaker 1: looks like Los Angeles murders have dropped six percent from 331 00:19:44,000 --> 00:19:47,359 Speaker 1: a fifteen year high in twenty twenty one to the 332 00:19:47,400 --> 00:19:50,800 Speaker 1: twenty twenty two number. The number of killings three hundred 333 00:19:50,800 --> 00:19:54,560 Speaker 1: and seventy three through Christmas Eve. They do admit well 334 00:19:54,600 --> 00:19:58,080 Speaker 1: above pre pandemic levels, but a six percent decrease from 335 00:19:58,080 --> 00:20:02,640 Speaker 1: twenty twenty six percent, six percent. That means one out 336 00:20:02,640 --> 00:20:06,080 Speaker 1: of every twenty three ninety seven down to three seventy three. Well, 337 00:20:06,119 --> 00:20:09,479 Speaker 1: there you go, right. The number of people struck by 338 00:20:09,520 --> 00:20:12,960 Speaker 1: gunfire also fell single digits eight percent. Well, good, that 339 00:20:13,160 --> 00:20:16,920 Speaker 1: good argument. Just keep letting more prisoners out, then, that's 340 00:20:16,960 --> 00:20:19,840 Speaker 1: exactly what we have. No, nobody every no, they don't 341 00:20:19,840 --> 00:20:22,200 Speaker 1: look at it as a three hundred and seventy seven people. 342 00:20:22,240 --> 00:20:25,000 Speaker 1: That's a lot. That means every day somebody gets murdered 343 00:20:25,040 --> 00:20:27,639 Speaker 1: on the streets of Los Angeles every day. No, no, no, 344 00:20:28,040 --> 00:20:33,480 Speaker 1: that it's uh. But how exactly how many less was that? Sixteen? Yeah, 345 00:20:33,560 --> 00:20:39,440 Speaker 1: sixteen less one a smidge more than one less a month? Wow? 346 00:20:39,600 --> 00:20:44,000 Speaker 1: Look at that, twenty four three seven, three ninety seven 347 00:20:44,000 --> 00:20:48,520 Speaker 1: of the numbers, twenty four two a month? Yeah, look 348 00:20:48,520 --> 00:20:50,719 Speaker 1: at that? What every once every two weeks, there's one 349 00:20:50,800 --> 00:20:53,400 Speaker 1: less body being murdered. Well, when we had that horrible 350 00:20:53,440 --> 00:20:56,679 Speaker 1: twenty twenty one, they were like, well, compared to the nineties, 351 00:20:56,800 --> 00:20:59,199 Speaker 1: these numbers are nothing like that. That's now they're kind 352 00:20:59,240 --> 00:21:01,000 Speaker 1: of admitting they're bad. This have a job, you see, 353 00:21:01,040 --> 00:21:04,000 Speaker 1: there's been a day we're getting a handle out of this. 354 00:21:04,119 --> 00:21:07,760 Speaker 1: That is that is the racket they have because they 355 00:21:07,800 --> 00:21:11,240 Speaker 1: will never give in and admit that putting prisoners away 356 00:21:11,840 --> 00:21:15,200 Speaker 1: make us safer. So you know, you're you're not allowed 357 00:21:15,200 --> 00:21:17,399 Speaker 1: to talk about this, right. Somebody was writing today I 358 00:21:17,440 --> 00:21:20,000 Speaker 1: was reading it even talking about it as racist, complaining 359 00:21:20,040 --> 00:21:23,960 Speaker 1: about it as racist and whatever. You say, they'll say, well, oh, 360 00:21:24,000 --> 00:21:25,800 Speaker 1: it's not as much as it was thirty years ago, 361 00:21:26,000 --> 00:21:28,200 Speaker 1: or it wasn't as much as last year. They'll never 362 00:21:28,240 --> 00:21:32,040 Speaker 1: just say, wow, that's a lot of dead people. And 363 00:21:32,119 --> 00:21:36,160 Speaker 1: if we put bad people away and kept them inside, 364 00:21:36,280 --> 00:21:39,280 Speaker 1: you wouldn't have so many dead people. That that is 365 00:21:39,359 --> 00:21:42,119 Speaker 1: what this is. So they have these deflection games that 366 00:21:42,119 --> 00:21:44,080 Speaker 1: they play. Well it's not as bad as right, you know, 367 00:21:44,160 --> 00:21:47,159 Speaker 1: and they cherry picked some year and some statistic are 368 00:21:47,240 --> 00:21:49,639 Speaker 1: you se and it changes the subject. Then you get arguing, 369 00:21:49,920 --> 00:21:53,920 Speaker 1: You get arguing, and you get sidetracked over something inconsequential 370 00:21:54,119 --> 00:21:56,159 Speaker 1: instead of saying, that is a lot of death in 371 00:21:56,200 --> 00:21:59,960 Speaker 1: the streets. But they are admitting and the story property 372 00:22:00,080 --> 00:22:02,800 Speaker 1: crime was up from twenty twenty one. Burglaries were up 373 00:22:02,800 --> 00:22:05,720 Speaker 1: twelve and a half percent. Car thefts were up. So 374 00:22:07,000 --> 00:22:09,439 Speaker 1: and that's the crowd that we're talking about, which brings 375 00:22:09,520 --> 00:22:14,440 Speaker 1: us to the evils of Prop forty seven. Prop forty seven, 376 00:22:14,480 --> 00:22:17,720 Speaker 1: passed by the voters in twenty fourteen, we think has 377 00:22:17,760 --> 00:22:20,320 Speaker 1: been a big reason why there's been more crime and 378 00:22:20,400 --> 00:22:24,720 Speaker 1: more homeless. Sixty percent of you stooges voted for it. Well, 379 00:22:24,800 --> 00:22:27,359 Speaker 1: not in our audience, but it reduced the penalties for 380 00:22:27,440 --> 00:22:31,679 Speaker 1: low level offenses and established theft under nine hundred and 381 00:22:31,720 --> 00:22:35,320 Speaker 1: fifty bucks is petty theft. So it's just a misdemeanor, 382 00:22:35,560 --> 00:22:38,480 Speaker 1: that's right. And that is why you see guys on 383 00:22:38,720 --> 00:22:44,320 Speaker 1: social media videos pushing shopping carts around with almost a 384 00:22:44,400 --> 00:22:47,639 Speaker 1: thousand dollars worth of stolen goods a calculator, yeah, and 385 00:22:47,680 --> 00:22:51,080 Speaker 1: a calculator to keep track. And then that if they 386 00:22:51,119 --> 00:22:53,679 Speaker 1: get caught, which most of the time they don't, it 387 00:22:53,720 --> 00:22:56,160 Speaker 1: will only be a misdemeter, which most of the time 388 00:22:56,280 --> 00:23:00,000 Speaker 1: is no jail term. And when people say, oh, come on, well, 389 00:23:00,119 --> 00:23:05,000 Speaker 1: we've learned two things that the human smugglers they follow 390 00:23:05,280 --> 00:23:07,639 Speaker 1: every bit of detailed news when it comes to border 391 00:23:07,680 --> 00:23:11,960 Speaker 1: policies and the theft rings they study every detailed piece 392 00:23:11,960 --> 00:23:15,200 Speaker 1: of news when it comes to crime. And Prop forty 393 00:23:15,240 --> 00:23:19,080 Speaker 1: seven opened the door for them with this threshold. All right, now, 394 00:23:19,119 --> 00:23:22,800 Speaker 1: I noticed this is a democratic legislator that is uh, yeah, 395 00:23:22,800 --> 00:23:25,640 Speaker 1: you jumped ahead. What we're talking about is and he's 396 00:23:25,680 --> 00:23:29,520 Speaker 1: actually my legislator. Yeah, I don't ever vote for him. 397 00:23:29,680 --> 00:23:34,640 Speaker 1: Al Muratsucci from Torrence. Yeah, he has introduced a bill, 398 00:23:34,680 --> 00:23:37,720 Speaker 1: and this has happened before, which would lower the threshold 399 00:23:37,720 --> 00:23:41,240 Speaker 1: to four hundred dollars. All right, says a Democrat doing it. 400 00:23:41,000 --> 00:23:43,880 Speaker 1: This is this like some kind of shift. I think 401 00:23:43,920 --> 00:23:46,120 Speaker 1: they tried this last year and it didn't get anywhere. 402 00:23:46,200 --> 00:23:48,560 Speaker 1: So maybe they do this to get some publicity, but 403 00:23:48,640 --> 00:23:51,040 Speaker 1: I don't think it ever gets through the I'm wondering, 404 00:23:51,440 --> 00:23:54,359 Speaker 1: with Newsom running for president, is he going to engineer 405 00:23:54,520 --> 00:23:58,000 Speaker 1: a few bills to make him looks of a whacko 406 00:23:58,800 --> 00:24:03,480 Speaker 1: like care Court well homeless? Yeah, because because because DeSantis 407 00:24:03,520 --> 00:24:07,720 Speaker 1: is absolutely going to savage him with all all California's 408 00:24:07,760 --> 00:24:11,760 Speaker 1: problems garbage, right, And there isn't really a response. You know, 409 00:24:12,080 --> 00:24:14,439 Speaker 1: his response is, you know, come for the free abortions. 410 00:24:14,880 --> 00:24:17,760 Speaker 1: But other than that, what is the response. I mean, clearly, 411 00:24:17,800 --> 00:24:20,359 Speaker 1: this is nuts. To let people steal almost a thousand 412 00:24:20,400 --> 00:24:23,560 Speaker 1: dollars a day, Clearly that's nuts, and clearly it's going 413 00:24:23,600 --> 00:24:25,879 Speaker 1: to look nuts to the rest of the country. Like 414 00:24:25,920 --> 00:24:31,560 Speaker 1: the other forty nine states. They took a poll Berkeley did. 415 00:24:31,880 --> 00:24:34,879 Speaker 1: Two thirds said they would support changes to Prop forty seven. 416 00:24:35,119 --> 00:24:38,159 Speaker 1: Seventy eight percent said crime and increased statewide. Sixty five 417 00:24:38,200 --> 00:24:41,880 Speaker 1: percent said they thought it had risen uncily that that's 418 00:24:41,880 --> 00:24:44,200 Speaker 1: a big deal, but this has to pass with a 419 00:24:44,280 --> 00:24:47,240 Speaker 1: two thirds vote because it was a ballot measure. That's 420 00:24:47,280 --> 00:24:49,119 Speaker 1: interesting because it's just a couple of years ago. I 421 00:24:49,160 --> 00:24:51,879 Speaker 1: remember they tried to do a revision on Prop. Forty 422 00:24:51,920 --> 00:24:57,120 Speaker 1: seven and that and that referendum failed, and so something 423 00:24:57,280 --> 00:24:59,840 Speaker 1: something changed in the public consciousness in the last couple 424 00:25:00,000 --> 00:25:05,560 Speaker 1: of years. Yeah. So uh so now and everybody brought 425 00:25:05,600 --> 00:25:07,480 Speaker 1: bought in on Prop. Forty seven. It means there's a 426 00:25:07,560 --> 00:25:10,840 Speaker 1: high awareness of it, right, yeah, let people know about it. 427 00:25:10,880 --> 00:25:13,080 Speaker 1: And these are these A lot of these people obviously 428 00:25:13,160 --> 00:25:16,000 Speaker 1: voted for it because it won't easily. And every time, 429 00:25:16,280 --> 00:25:18,120 Speaker 1: every time I see these stories, all they say, well, 430 00:25:18,160 --> 00:25:19,960 Speaker 1: we're gonna deal with this by making sure that they 431 00:25:19,960 --> 00:25:22,120 Speaker 1: can't sell the goods online. We're going to crack down 432 00:25:22,119 --> 00:25:25,000 Speaker 1: on that. See that's a deflection. Yeah, it's an answer 433 00:25:25,119 --> 00:25:28,920 Speaker 1: that all they have to have is a verbal answer 434 00:25:29,000 --> 00:25:31,159 Speaker 1: to a reporter. That's all they have to have. They 435 00:25:31,160 --> 00:25:33,600 Speaker 1: don't have to do anything about it. They just have 436 00:25:33,640 --> 00:25:38,639 Speaker 1: to squash the story. Right, I say we're doing something, 437 00:25:39,119 --> 00:25:41,560 Speaker 1: you know, Yeah, that's all just to say, yeah, we're 438 00:25:41,600 --> 00:25:45,800 Speaker 1: doing something. Well, we'll see. But I think to get 439 00:25:45,800 --> 00:25:48,320 Speaker 1: a two thirds vote in the state legislature. There's got 440 00:25:48,320 --> 00:25:50,280 Speaker 1: to be too many of the Democrats who want to 441 00:25:50,359 --> 00:25:52,600 Speaker 1: keep Prop. Forty seven exactly where it is a nine 442 00:25:52,680 --> 00:25:55,600 Speaker 1: hundred fifty bucks. Yeah, unless it isn't that big a fix, 443 00:25:55,640 --> 00:25:58,199 Speaker 1: but it's something. That's why I'm thinking about Newsom. I 444 00:25:58,320 --> 00:26:00,239 Speaker 1: wonder if he's going to act in some pecure your 445 00:26:00,280 --> 00:26:04,120 Speaker 1: ways this year because he's in himself next year. Yeah, 446 00:26:04,119 --> 00:26:07,000 Speaker 1: he's gonna yeah, because he's gonna get roasted. He's gonna 447 00:26:07,000 --> 00:26:09,480 Speaker 1: get roasted to buy everybody in his own party. Everybody's 448 00:26:09,480 --> 00:26:11,920 Speaker 1: gonna run against Kallo. Well, if you're if you're running 449 00:26:11,920 --> 00:26:15,760 Speaker 1: in the Democratic primary, I'm excluding Biden editives, right, but 450 00:26:15,840 --> 00:26:19,000 Speaker 1: if he's got other Democrats running against him, they're gonna 451 00:26:19,040 --> 00:26:23,400 Speaker 1: use him like a pinata. Yeah, I would think they would. Yeah. 452 00:26:23,400 --> 00:26:26,639 Speaker 1: So you're still convinced that Biden's done well. I know 453 00:26:27,040 --> 00:26:29,080 Speaker 1: mentally you didn't think he'd serve all four years. Now 454 00:26:29,200 --> 00:26:31,680 Speaker 1: he's halfway through. I don't think he served these two years. 455 00:26:34,880 --> 00:26:39,520 Speaker 1: There are questions about that, right, we don't know, all right, 456 00:26:39,880 --> 00:26:41,960 Speaker 1: He's always getting turned around. He's in the wrong direction, 457 00:26:42,720 --> 00:26:44,439 Speaker 1: all right, More coming up, John and ken k if 458 00:26:44,520 --> 00:26:47,200 Speaker 1: I am six forty live everywhere the iHeartRadio app on 459 00:26:47,240 --> 00:26:49,680 Speaker 1: until four o'clock one until four and again you want 460 00:26:49,720 --> 00:26:52,800 Speaker 1: to hear the show, you can hear it almost immediately 461 00:26:52,840 --> 00:26:56,000 Speaker 1: after we're done, and it's gonna be on the iHeartRadio app. 462 00:26:56,000 --> 00:26:58,320 Speaker 1: You go to podcasts and type in John and kennon 463 00:26:58,440 --> 00:27:01,840 Speaker 1: demand and then you could hear the whole show. Well, 464 00:27:01,880 --> 00:27:05,120 Speaker 1: here's two stories that are sort of connected. Chinese scientists 465 00:27:05,160 --> 00:27:08,280 Speaker 1: have announced a big breakthrough. They believe they have the 466 00:27:08,320 --> 00:27:14,360 Speaker 1: bionic penis. Yeah, synthetic tissue that repaired penile injuries in pigs. 467 00:27:15,560 --> 00:27:19,600 Speaker 1: As you may know, pigs are anatomically similar to human 468 00:27:19,640 --> 00:27:23,800 Speaker 1: beings and sometimes obviously pig parts like valves, and mentally similar. 469 00:27:23,800 --> 00:27:29,439 Speaker 1: In some cases. They it successfully restored penile function in 470 00:27:29,520 --> 00:27:32,520 Speaker 1: pigs and it shows promise that it could one day 471 00:27:32,520 --> 00:27:37,000 Speaker 1: be used on humans. It mimics a sheaf of tissue 472 00:27:37,000 --> 00:27:44,199 Speaker 1: that is necessary to maintain you know, the flagpole. Is 473 00:27:44,200 --> 00:27:47,240 Speaker 1: that a scientific term? Yeah, the flagpole. Half of the 474 00:27:47,280 --> 00:27:49,800 Speaker 1: men between the ages of forty and seventy experienced some 475 00:27:49,920 --> 00:27:53,040 Speaker 1: form of dysfunction. Is that right? Five percent get one 476 00:27:53,040 --> 00:27:56,440 Speaker 1: of John's favorite Pironi's disease. While that's famous because I've 477 00:27:56,480 --> 00:27:58,639 Speaker 1: been seeing those ads on TV about the carrot. Have 478 00:27:58,680 --> 00:28:03,720 Speaker 1: you seen those? Yes? Yeah, Weller's disease is when it 479 00:28:03,800 --> 00:28:07,240 Speaker 1: curves abnormally. Now you know. The most famous person to 480 00:28:07,280 --> 00:28:11,600 Speaker 1: have that, Bill Clinton, Bill Clinton, And it comes sometimes 481 00:28:11,680 --> 00:28:16,280 Speaker 1: because you broke the sheath during sex and he was 482 00:28:16,359 --> 00:28:18,719 Speaker 1: up to so much no good. I always thought that 483 00:28:18,760 --> 00:28:21,439 Speaker 1: the reason he had Payroni's disease is too much he 484 00:28:21,560 --> 00:28:24,080 Speaker 1: did or something just unspeakable with a woman and the 485 00:28:24,080 --> 00:28:29,040 Speaker 1: thing snapped on him. Oh, it could be a cause. Remember. 486 00:28:29,200 --> 00:28:33,320 Speaker 1: In fact, in fact, one of those docu dramas that 487 00:28:33,359 --> 00:28:36,960 Speaker 1: I watched last year were Paula Jones, one of his 488 00:28:37,040 --> 00:28:41,920 Speaker 1: mistresses had to draw the She did, yes, and she drew. 489 00:28:42,160 --> 00:28:44,120 Speaker 1: She drew it like a banana with a big curve 490 00:28:44,160 --> 00:28:47,400 Speaker 1: in it. So Harvey, Weinstein and Epstein, they all have 491 00:28:47,480 --> 00:28:51,440 Speaker 1: these uh, genial issues. No, I think that that's a 492 00:28:51,480 --> 00:28:55,320 Speaker 1: reason why they're so sexually aggressive, because they're so ashamed 493 00:28:55,600 --> 00:28:59,280 Speaker 1: that they have deformed penises and genitals that they want 494 00:28:59,320 --> 00:29:03,280 Speaker 1: to prove that they're really men, that they're not these freaks, 495 00:29:03,320 --> 00:29:06,080 Speaker 1: because it's too much. Would be embarrassed to show your 496 00:29:06,120 --> 00:29:10,000 Speaker 1: stuff if it's all deformed. Well, maybe a compulsion, it's 497 00:29:10,000 --> 00:29:13,200 Speaker 1: a compulsion to show it works, that you can still 498 00:29:13,320 --> 00:29:18,280 Speaker 1: provide pleasure and manliness. That's too much of a coincidence. Clinton, Epstein, 499 00:29:18,440 --> 00:29:20,960 Speaker 1: and Weinstein, Right, those are three of the biggest sex 500 00:29:21,000 --> 00:29:24,520 Speaker 1: perverts of our lifetime, and they've all got something really 501 00:29:24,560 --> 00:29:31,680 Speaker 1: deformed about their their stuff. And the story related to this. 502 00:29:32,040 --> 00:29:37,840 Speaker 1: A new law in Louisiana makes porn sites liable for 503 00:29:38,000 --> 00:29:42,240 Speaker 1: content deemed harmful of miners if they don't install age 504 00:29:42,400 --> 00:29:46,520 Speaker 1: verification technology. For anyone who wants to access to me 505 00:29:46,600 --> 00:29:52,640 Speaker 1: in that state, you gotta upload your driver's license. You 506 00:29:52,800 --> 00:29:56,120 Speaker 1: upload your driver's license. Yeah, they're gonna you scan it 507 00:29:56,200 --> 00:29:58,680 Speaker 1: or something. Yes, you scan it and you send it 508 00:29:58,720 --> 00:30:04,680 Speaker 1: to this third party company requires ID verification. It's called 509 00:30:04,720 --> 00:30:10,920 Speaker 1: all Past Trust, which connects to something called law Wallet, 510 00:30:11,480 --> 00:30:17,480 Speaker 1: a digital driver's license for people in Louisiana. So these this, 511 00:30:18,200 --> 00:30:23,080 Speaker 1: these companies do a well. This company uses law wallet 512 00:30:23,840 --> 00:30:26,280 Speaker 1: in order to verify your driver's license in your age 513 00:30:26,320 --> 00:30:29,840 Speaker 1: and then you can get through in pornhub. Is anybody 514 00:30:29,920 --> 00:30:32,760 Speaker 1: doing it there or are they just given up? Are 515 00:30:32,800 --> 00:30:36,000 Speaker 1: Louisiana people that want to look at porn actually downloading 516 00:30:36,080 --> 00:30:38,960 Speaker 1: or uploading their license? Just became effective three days ago. 517 00:30:40,520 --> 00:30:42,720 Speaker 1: People have to look at porn every day. I mean, yeah, 518 00:30:42,760 --> 00:30:45,560 Speaker 1: I know, that's that's a three day droughte now. And 519 00:30:46,000 --> 00:30:48,280 Speaker 1: I think porn hub is one of the biggest. Oh, 520 00:30:48,360 --> 00:30:52,520 Speaker 1: porn Hub is huge. It's like a monster central place 521 00:30:52,560 --> 00:30:55,520 Speaker 1: for all sorts of porn site. You know, they had 522 00:30:55,560 --> 00:30:59,800 Speaker 1: to describe what falls under harmful to minors. What a list? 523 00:30:59,840 --> 00:31:04,320 Speaker 1: I can't read it all. It's kind of just give 524 00:31:04,360 --> 00:31:09,520 Speaker 1: your hinds touching, caressing, fondling of body parts, yeah, yeah, yeah, oh, 525 00:31:09,600 --> 00:31:14,600 Speaker 1: and all sorts of sexual terms. Hey yeah, So the 526 00:31:14,640 --> 00:31:20,040 Speaker 1: beastiality site wide elation and you know, excratory functions. In Louisiana, 527 00:31:20,080 --> 00:31:25,120 Speaker 1: beastiality is top of the charts. Yeah. I wonder if 528 00:31:25,120 --> 00:31:29,480 Speaker 1: this is uh they going to change sections excretory functions 529 00:31:29,520 --> 00:31:32,400 Speaker 1: of this stuff I've never heard of. They don't. Yeah, 530 00:31:32,640 --> 00:31:35,680 Speaker 1: it was introduced by a local representative and it got 531 00:31:35,760 --> 00:31:38,600 Speaker 1: passed and signed by the governor. Pornography is destroying our 532 00:31:38,680 --> 00:31:41,760 Speaker 1: children and they're getting unlimited access to it on the internet. 533 00:31:42,280 --> 00:31:44,960 Speaker 1: This is what they want to whole important companies responsible. 534 00:31:45,040 --> 00:31:49,120 Speaker 1: This is the same state that has New Orleans. They oh, yeah, 535 00:31:49,200 --> 00:31:56,560 Speaker 1: you're right, you're right. S Yeah, schizophrenic schizophrenic rather. Yeah, 536 00:31:56,840 --> 00:31:59,760 Speaker 1: these morality supposed to go there, but that's not minors, right, 537 00:32:00,120 --> 00:32:04,920 Speaker 1: So allegedly whatever I know sex customers, it's not mine. 538 00:32:05,080 --> 00:32:08,120 Speaker 1: Not known as a prudish state though, but proposals like 539 00:32:08,160 --> 00:32:10,760 Speaker 1: this have been made in Australia in the UK, but 540 00:32:10,880 --> 00:32:15,000 Speaker 1: apparently it did not get past yet. Yeah, it looks 541 00:32:15,000 --> 00:32:17,760 Speaker 1: like a senator in Utah has introduced the same kind 542 00:32:17,800 --> 00:32:22,320 Speaker 1: of idea. I guess there's plenty of alternative sites. We've 543 00:32:22,400 --> 00:32:26,040 Speaker 1: got Conway in here. Hey, now, hey, yesterday we played you, 544 00:32:26,440 --> 00:32:32,000 Speaker 1: you and Ken your description of Brian Kohlberger. And he's 545 00:32:32,000 --> 00:32:34,080 Speaker 1: a loaner, he's a loser, he wasn't good with women, 546 00:32:34,440 --> 00:32:37,680 Speaker 1: he did heroin, he smoked, he lost weight, And I 547 00:32:37,800 --> 00:32:40,440 Speaker 1: said that that was the description you guys had of me, 548 00:32:41,000 --> 00:32:44,600 Speaker 1: And almost all the listeners thought, hey, don't get down 549 00:32:44,680 --> 00:32:49,120 Speaker 1: on them if that description is very close. And I thought, 550 00:32:49,400 --> 00:32:51,280 Speaker 1: and then I went through, I'm like, wow, it's it's 551 00:32:51,400 --> 00:32:55,480 Speaker 1: kind of in the ballpark. It's weird. People can sense that. 552 00:32:55,680 --> 00:32:57,800 Speaker 1: I know, you know that it's it's it's so where 553 00:32:57,800 --> 00:33:01,440 Speaker 1: are the bodies. It's odd though, that you know that 554 00:33:01,560 --> 00:33:03,720 Speaker 1: there's a lot of close areas. Yeah, right, I'm worried 555 00:33:03,720 --> 00:33:07,600 Speaker 1: about that. I worry about um. Fritz Coleman is coming 556 00:33:07,640 --> 00:33:11,000 Speaker 1: on with us talk about I think either the weather 557 00:33:11,120 --> 00:33:15,120 Speaker 1: or he finally bought a my pillow sheet set. That's 558 00:33:15,240 --> 00:33:17,520 Speaker 1: quite a bit. Maybe you could do both if you 559 00:33:17,560 --> 00:33:20,040 Speaker 1: have yes Blake trolley with the weather as well. Steve 560 00:33:20,080 --> 00:33:23,920 Speaker 1: Gregory is at the CS in Las Vegas. We'll talk 561 00:33:23,920 --> 00:33:25,760 Speaker 1: to him about what the ladies is going on with electronics, 562 00:33:25,880 --> 00:33:29,040 Speaker 1: and then Rick Dicker later on with Fox eleven News 563 00:33:29,160 --> 00:33:31,840 Speaker 1: to talk this This storm coming at midnight is supposed 564 00:33:31,840 --> 00:33:35,560 Speaker 1: to be unbelievable, twenty five foot waves west facing beaches. Yeah, 565 00:33:36,160 --> 00:33:38,440 Speaker 1: you know, so if you're in Hermosa Beach, Manhattan Beach, 566 00:33:39,240 --> 00:33:41,320 Speaker 1: you know that whole area that's you're right in the 567 00:33:41,360 --> 00:33:43,560 Speaker 1: bull's eye there. Yeah, it's gonna be exciting. Yeah, it'll 568 00:33:43,600 --> 00:33:47,160 Speaker 1: be it'll be crazy. We're gonna see down in South 569 00:33:47,280 --> 00:33:50,520 Speaker 1: Orange County waves coming up and crashing through, you know, 570 00:33:50,600 --> 00:33:53,480 Speaker 1: windows of restaurants and homes that are very close to 571 00:33:53,520 --> 00:33:56,040 Speaker 1: the beach. Unfortunately. Yeah, I think that's what's going on. 572 00:33:56,360 --> 00:33:59,480 Speaker 1: All right, Well, be careful, all right, Steam Dawk coming 573 00:33:59,560 --> 00:34:04,760 Speaker 1: up hover Sean and Ken show and My Crozier is 574 00:34:04,800 --> 00:34:09,120 Speaker 1: the News kamos d h T two Los Angeles, Searrange 575 00:34:09,160 --> 00:34:11,319 Speaker 1: County lives everywhere on the iHeartRadio app