1 00:00:00,200 --> 00:00:03,360 Speaker 1: Isn't it wonderful? All right, we have the pasta thought 2 00:00:03,480 --> 00:00:07,480 Speaker 1: update numbers. It's exciting. We've crossed a milestone. Hey, here's 3 00:00:07,520 --> 00:00:10,960 Speaker 1: the total amount of cash donated, seven hundred thousand, four 4 00:00:11,039 --> 00:00:15,440 Speaker 1: hundred and sixty eight dollars. Baboo, oh we got a 5 00:00:15,480 --> 00:00:19,840 Speaker 1: real drum roll this time. How about that seven hundred thousand, 6 00:00:19,840 --> 00:00:23,279 Speaker 1: four hundred sixty eight and the number of pounds of 7 00:00:23,320 --> 00:00:28,000 Speaker 1: pasta and sauce donated nineteen thousand, nine hundred and two. Oh, 8 00:00:28,160 --> 00:00:31,360 Speaker 1: so close to that twenty thousand, so close nineteen nine 9 00:00:31,400 --> 00:00:34,960 Speaker 1: out two. Next update at seven o'clock with Conway. Yeah, 10 00:00:35,080 --> 00:00:39,199 Speaker 1: crossing seven hundred thousand dollars. Pasta thon dot com is 11 00:00:39,240 --> 00:00:42,159 Speaker 1: the place to go to donate, but of course you 12 00:00:42,200 --> 00:00:44,920 Speaker 1: can also head to any Smarten final and Wendy's through 13 00:00:44,960 --> 00:00:49,280 Speaker 1: Sunday and donate a checkout and don't forget Jennifer Jones 14 00:00:49,360 --> 00:00:51,560 Speaker 1: Lee will be at the Smarten Final in Dana Point 15 00:00:51,600 --> 00:00:55,280 Speaker 1: Capastrono Beach Saturday from two to five pm. That's on 16 00:00:55,360 --> 00:00:58,040 Speaker 1: Doheny Park Road. You can come out and donate it 17 00:00:58,040 --> 00:01:01,800 Speaker 1: in the store, and of course through tomorrow you can 18 00:01:02,000 --> 00:01:05,119 Speaker 1: drive up and drop off pasta sauce donations at Anaheim 19 00:01:05,440 --> 00:01:09,360 Speaker 1: White House Restaurant eight in the morning till three pm, 20 00:01:09,440 --> 00:01:11,920 Speaker 1: and then, of course is through tomorrow. One hundred percent 21 00:01:11,920 --> 00:01:16,000 Speaker 1: of your donation goes too Katarina's Club. All right, So 22 00:01:16,560 --> 00:01:19,920 Speaker 1: see if you can follow this, because it really can 23 00:01:19,959 --> 00:01:25,120 Speaker 1: get confusing. I think far more fascinating than the dopey 24 00:01:25,200 --> 00:01:28,560 Speaker 1: Gabby Petino Brian laundry story for that last year. I 25 00:01:29,560 --> 00:01:32,679 Speaker 1: didn't follow it, except I could not stop seeing it everywhere. 26 00:01:33,920 --> 00:01:38,120 Speaker 1: I think it's far worse when four young college students 27 00:01:38,120 --> 00:01:42,400 Speaker 1: are murdered in their own home rather than a girl 28 00:01:42,400 --> 00:01:45,440 Speaker 1: and her crazy boyfriend and his eyes and he's on 29 00:01:45,480 --> 00:01:47,640 Speaker 1: the run. And why was that so fascinating to people? 30 00:01:47,760 --> 00:01:50,040 Speaker 1: What was the mystery there? I never understood that he 31 00:01:50,120 --> 00:01:52,280 Speaker 1: killed her. Why was there a misstrait? Because she was 32 00:01:52,280 --> 00:01:55,640 Speaker 1: a pretty blonde That's why I guess. Well, some of 33 00:01:55,640 --> 00:01:58,280 Speaker 1: these girls are pretty, and I guess. But this was 34 00:01:58,320 --> 00:02:03,600 Speaker 1: a brutal, horrible murder in a place where, unlike southern California, 35 00:02:03,840 --> 00:02:08,640 Speaker 1: this doesn't happen. So in the days since this happened, 36 00:02:08,680 --> 00:02:10,919 Speaker 1: and it's coming up on is it three weeks this Sunday? 37 00:02:10,960 --> 00:02:14,919 Speaker 1: I think it is going to be three weeks one 38 00:02:14,919 --> 00:02:19,760 Speaker 1: of the words that's been used by police, the prosecutor 39 00:02:19,800 --> 00:02:24,359 Speaker 1: on the case is the word targeted. Now, let's start 40 00:02:24,400 --> 00:02:27,880 Speaker 1: at the beginning here and explain that when you have 41 00:02:28,320 --> 00:02:31,600 Speaker 1: a story as horrendous as this, four young people stabbed 42 00:02:31,600 --> 00:02:35,040 Speaker 1: to death in their beds in their off campus house, 43 00:02:36,240 --> 00:02:39,280 Speaker 1: you want to tell the community something. And the first 44 00:02:39,320 --> 00:02:41,280 Speaker 1: thing they want to know is is there a serial 45 00:02:41,360 --> 00:02:43,280 Speaker 1: killer out there who will chop my head off next 46 00:02:43,360 --> 00:02:46,799 Speaker 1: or stab me in my sleep. So they came out 47 00:02:46,800 --> 00:02:50,280 Speaker 1: originally and said they believed the killings were of a 48 00:02:50,400 --> 00:02:54,520 Speaker 1: targeted nature, which led all of us to believe that 49 00:02:54,600 --> 00:02:57,080 Speaker 1: whoever did this was after one of the four people 50 00:02:57,080 --> 00:03:00,240 Speaker 1: that died, or perhaps more than one, and purpose went 51 00:03:00,280 --> 00:03:02,320 Speaker 1: there to do this and to kill these specific people, 52 00:03:03,160 --> 00:03:05,560 Speaker 1: which might lead residents on Moscow and students at the 53 00:03:05,639 --> 00:03:09,440 Speaker 1: university then to think, Okay, this is horrible, but it's 54 00:03:09,480 --> 00:03:13,920 Speaker 1: not some random act. Well, since that time, the word 55 00:03:13,960 --> 00:03:20,120 Speaker 1: targeted has gone back and forth. In fact, this story 56 00:03:20,200 --> 00:03:25,760 Speaker 1: I found from NBC News and the Today Show is 57 00:03:26,360 --> 00:03:28,880 Speaker 1: unbelievable the way this was worded. Let me see if 58 00:03:28,919 --> 00:03:32,919 Speaker 1: I can find this specific paragraph that I was reading 59 00:03:32,960 --> 00:03:36,760 Speaker 1: just before we came on the air, which really just 60 00:03:36,800 --> 00:03:41,320 Speaker 1: went because there was a story yesterday that the prosecutor 61 00:03:41,320 --> 00:03:43,680 Speaker 1: in the case, it's the guy with the weird beard 62 00:03:44,280 --> 00:03:48,640 Speaker 1: John was looking at said he tried to clarify targeted 63 00:03:48,680 --> 00:03:52,480 Speaker 1: to mean we don't necessarily believe that they were targeting 64 00:03:52,680 --> 00:03:56,400 Speaker 1: the people, but they may have targeted the house, and 65 00:03:56,520 --> 00:04:02,600 Speaker 1: that was of course bizarre. Late night, Moscow police tried 66 00:04:02,640 --> 00:04:08,200 Speaker 1: to walk back those comments. Well today they walked back 67 00:04:08,240 --> 00:04:13,360 Speaker 1: the walk back, and here it is. Last night we 68 00:04:13,360 --> 00:04:16,080 Speaker 1: released a statement on the web page to provide clarification. 69 00:04:16,520 --> 00:04:19,160 Speaker 1: When asked for a different additional information, we have responded 70 00:04:19,400 --> 00:04:23,000 Speaker 1: that our clarification last night directly addressed comments made by 71 00:04:23,000 --> 00:04:27,240 Speaker 1: the Latak County prosecutor Thompson, who said the suspects specifically 72 00:04:27,279 --> 00:04:29,960 Speaker 1: looked at this residence and that one or more of 73 00:04:29,960 --> 00:04:34,040 Speaker 1: the occupants were undoubtedly targeted. We remain consistent in our 74 00:04:34,080 --> 00:04:37,039 Speaker 1: belief that this was indeed a targeted attack, but we 75 00:04:37,160 --> 00:04:40,680 Speaker 1: have not concluded if the target was the residence or 76 00:04:40,720 --> 00:04:46,560 Speaker 1: the occupants. Even more confused, now, I don't think they 77 00:04:46,760 --> 00:04:49,559 Speaker 1: have any idea what they're doing or saying. I really don't. 78 00:04:50,120 --> 00:04:53,320 Speaker 1: I think this is a bunch of dumb clock local 79 00:04:53,440 --> 00:04:56,919 Speaker 1: Yokol cops. Oh here's how Anti Situs put it in 80 00:04:56,960 --> 00:05:00,160 Speaker 1: a second about face on December first, Moscow Police, he's 81 00:05:00,200 --> 00:05:04,200 Speaker 1: clarified its November thirtieth clarification. I like that term. They 82 00:05:04,200 --> 00:05:07,880 Speaker 1: clarified their clarification. You know, they really would be better 83 00:05:07,920 --> 00:05:11,200 Speaker 1: off just shutting up. They don't have to. You know, 84 00:05:11,480 --> 00:05:15,320 Speaker 1: you could tell the community we don't know and then 85 00:05:15,440 --> 00:05:18,880 Speaker 1: let everybody make their own decision on it. But to 86 00:05:19,120 --> 00:05:23,840 Speaker 1: give these vague pronouncements about target not target, it doesn't 87 00:05:23,839 --> 00:05:27,200 Speaker 1: mean anything. People in the community. They'll want it to know. 88 00:05:27,400 --> 00:05:30,200 Speaker 1: What doesn't matter. I have to be worried everywhere I go. Yes, 89 00:05:30,240 --> 00:05:32,200 Speaker 1: but if you don't know, you don't know, it doesn't 90 00:05:32,240 --> 00:05:34,000 Speaker 1: you know what the rest of the community has to 91 00:05:34,000 --> 00:05:36,840 Speaker 1: grow up? All right? You gotta there's a There might 92 00:05:36,880 --> 00:05:38,719 Speaker 1: be a crazy person in town, or there might have 93 00:05:39,240 --> 00:05:42,680 Speaker 1: been ten thousand miles away, and you can't control it. Well, 94 00:05:42,720 --> 00:05:44,640 Speaker 1: if you want to, if you feel better leaving town, 95 00:05:44,640 --> 00:05:47,520 Speaker 1: then leave town. But the dad, mommy and daddy police 96 00:05:47,600 --> 00:05:49,840 Speaker 1: man isn't going to make you feel better. They don't know. 97 00:05:50,600 --> 00:05:53,559 Speaker 1: Maybe they don't know because they're incompetent boobs, or maybe 98 00:05:53,600 --> 00:05:55,960 Speaker 1: this guy really got out there so quickly and cleanly. 99 00:05:57,120 --> 00:05:59,200 Speaker 1: Don't mean you think about it this way. If there 100 00:05:59,240 --> 00:06:01,120 Speaker 1: was a murder down the street from where you live, 101 00:06:01,760 --> 00:06:03,920 Speaker 1: but you found out it was the ex husband who 102 00:06:04,000 --> 00:06:05,640 Speaker 1: came back and he was angry and he stabbed his 103 00:06:05,839 --> 00:06:09,040 Speaker 1: ex wife to death in her bed, all right, you'd 104 00:06:09,040 --> 00:06:13,200 Speaker 1: be upset. It's terrible. But versus the story that well, 105 00:06:13,240 --> 00:06:14,880 Speaker 1: I don't know if somebody entered the house killed the 106 00:06:14,920 --> 00:06:16,480 Speaker 1: whole family. We don't know who, we don't know why. 107 00:06:16,720 --> 00:06:19,279 Speaker 1: Oh yeah, that would make you nervous if you did there. 108 00:06:19,480 --> 00:06:22,960 Speaker 1: But I don't want nonsense from the police. If they 109 00:06:23,000 --> 00:06:26,200 Speaker 1: don't know, just tell me that. Then I'll decide. Okay, 110 00:06:26,279 --> 00:06:28,440 Speaker 1: I don't want to live here until they until they 111 00:06:28,480 --> 00:06:31,040 Speaker 1: catch the guy. Or maybe they're never going to catch 112 00:06:31,080 --> 00:06:33,719 Speaker 1: the guy. Maybe there's ten years from now, you know, 113 00:06:33,920 --> 00:06:38,760 Speaker 1: you'll see this on sixty Minutes Still Unsolved, Still unsolved. 114 00:06:38,800 --> 00:06:42,560 Speaker 1: Maybe John Bennet Ramsey killer. Yeah, you know, thirty years 115 00:06:42,560 --> 00:06:44,960 Speaker 1: from now, Steve Gregory will be doing a podcast out 116 00:06:44,960 --> 00:06:50,440 Speaker 1: of his nursing home. Unsolved cold case, the Idaho murder. 117 00:06:50,600 --> 00:06:56,320 Speaker 1: Right a year is twenty fifty. Oh, maybe we do 118 00:06:56,440 --> 00:06:59,360 Speaker 1: know this. Half the students are not showing up to school. 119 00:06:59,400 --> 00:07:02,839 Speaker 1: This is the time they prepare for exams, half of 120 00:07:02,839 --> 00:07:05,039 Speaker 1: them have stayed away, either doing their online or just 121 00:07:05,120 --> 00:07:09,480 Speaker 1: not showing up. So that's the percentage I'm hearing today 122 00:07:09,640 --> 00:07:11,960 Speaker 1: from the students who decided they don't want to be 123 00:07:12,040 --> 00:07:14,920 Speaker 1: on campus or anywhere near it right now. The other 124 00:07:14,960 --> 00:07:17,640 Speaker 1: development is we learned today that two of the girls 125 00:07:17,840 --> 00:07:21,720 Speaker 1: who were murdered were in the same bed together. Whether 126 00:07:21,840 --> 00:07:24,120 Speaker 1: or not that's just the way they slept or if, 127 00:07:24,120 --> 00:07:26,920 Speaker 1: I don't know, but and I would imagine that would 128 00:07:26,960 --> 00:07:29,360 Speaker 1: not be the now. There was a couple, a male 129 00:07:29,400 --> 00:07:31,280 Speaker 1: and a female. They didn't say whether or not they 130 00:07:31,280 --> 00:07:33,000 Speaker 1: were in the same bed together when they were stabbed, 131 00:07:33,000 --> 00:07:35,640 Speaker 1: but that's us likely if they were a couple, it's 132 00:07:35,640 --> 00:07:37,440 Speaker 1: the other two girls that were into the bed together. 133 00:07:37,760 --> 00:07:40,560 Speaker 1: They've they've led out so little information that you know, 134 00:07:40,640 --> 00:07:43,200 Speaker 1: that's that's and people have a lot of free time, 135 00:07:43,280 --> 00:07:48,840 Speaker 1: so they're filling the vacuum. Yeah, I'm still going with 136 00:07:48,880 --> 00:07:51,480 Speaker 1: my theory from yesterday that it's possibly someone who was 137 00:07:51,520 --> 00:07:54,560 Speaker 1: fed up at the party house and maybe that night 138 00:07:54,560 --> 00:07:57,440 Speaker 1: everybody came home particularly noisy and crazy, and whoever did this, 139 00:07:57,840 --> 00:08:00,240 Speaker 1: who might live nearby. That would make sense if they're 140 00:08:00,280 --> 00:08:03,400 Speaker 1: bothered by the party house just took action. I don't know, 141 00:08:03,800 --> 00:08:05,520 Speaker 1: I mean that would be the top reason for a 142 00:08:05,640 --> 00:08:09,120 Speaker 1: house to be targeted. Well, yes it would if if 143 00:08:09,200 --> 00:08:11,320 Speaker 1: that's a real thing, if that's really one of that, 144 00:08:11,520 --> 00:08:14,400 Speaker 1: but that's understub More likely is you're right, a stalker 145 00:08:14,520 --> 00:08:17,000 Speaker 1: or somebody who was frustrated over something that happened with 146 00:08:17,720 --> 00:08:20,320 Speaker 1: or just a serial killer like who is the guy 147 00:08:20,360 --> 00:08:25,280 Speaker 1: whose son of Sam? Remember? Uh, David David Berkowitz, and 148 00:08:25,440 --> 00:08:27,920 Speaker 1: he went through he was shooting people. Yeah, yeah, but 149 00:08:27,960 --> 00:08:31,040 Speaker 1: there was specific type of people. It was couples on 150 00:08:31,200 --> 00:08:34,559 Speaker 1: dates he'd see because the German shepherd told him to it, right, 151 00:08:34,720 --> 00:08:38,080 Speaker 1: they had a talking dog in his head, and so 152 00:08:38,160 --> 00:08:43,400 Speaker 1: he was he would shoot uh, couples who were talking 153 00:08:43,400 --> 00:08:45,600 Speaker 1: in the front seat of their cars or maybe making 154 00:08:45,640 --> 00:08:48,120 Speaker 1: out something like that. Right, they were, they were definitely 155 00:08:48,120 --> 00:08:52,480 Speaker 1: on romantic dates and that triggered something in him, and 156 00:08:52,720 --> 00:08:56,240 Speaker 1: that's who he was going after. So you know, it 157 00:08:56,240 --> 00:08:58,120 Speaker 1: could be that kind of thing that maybe a cat 158 00:08:58,160 --> 00:09:01,280 Speaker 1: maybe wanted to kill blondes. And the thing that makes 159 00:09:01,320 --> 00:09:04,480 Speaker 1: sense is this is a college campus situation where guys 160 00:09:04,520 --> 00:09:07,520 Speaker 1: like that would be particularly drawn to and might get 161 00:09:07,559 --> 00:09:10,199 Speaker 1: particularly worked up over. You know, attractive young people having 162 00:09:10,240 --> 00:09:11,679 Speaker 1: a good time and I'm not a part of it, 163 00:09:11,720 --> 00:09:15,560 Speaker 1: and or she rejected me, or but they have gone 164 00:09:15,600 --> 00:09:18,400 Speaker 1: through so many possible suspects. Everybody that was around the 165 00:09:18,400 --> 00:09:21,640 Speaker 1: food truck, the guy that gave him a ride, I remember, 166 00:09:21,640 --> 00:09:23,640 Speaker 1: the guy that she called on her phone, the former, 167 00:09:23,720 --> 00:09:25,760 Speaker 1: the on and off again boyfriend. There aren't that many 168 00:09:25,800 --> 00:09:28,920 Speaker 1: people in this town. There's only twenty six thousand residents, 169 00:09:29,000 --> 00:09:32,040 Speaker 1: I think. Yeah, a lot of them are students. Yeah, 170 00:09:32,080 --> 00:09:34,400 Speaker 1: a lot of them are students. And so you eliminate 171 00:09:34,480 --> 00:09:37,679 Speaker 1: all the women, right, and you're basically you look at 172 00:09:37,760 --> 00:09:41,080 Speaker 1: how many eighteen to you know, thirty year old males 173 00:09:41,200 --> 00:09:44,640 Speaker 1: are there? Who because that's the age range, that's the 174 00:09:44,640 --> 00:09:47,400 Speaker 1: age for this kind of crime in right, exactly, So 175 00:09:47,480 --> 00:09:51,439 Speaker 1: how many are there? And you know, you run out 176 00:09:51,440 --> 00:09:56,000 Speaker 1: of people quickly. Now, all right, we got more coming up. 177 00:09:56,320 --> 00:09:58,400 Speaker 1: It is the Johnny Ken Show and kf I Am 178 00:09:58,440 --> 00:10:01,319 Speaker 1: six forty live everywhere, the iHeart Radio app. All right, well, 179 00:10:02,080 --> 00:10:04,600 Speaker 1: guess what's going on in a courtroom. It's probably just 180 00:10:04,720 --> 00:10:07,320 Speaker 1: ended for the day. It is the final arguments in 181 00:10:07,360 --> 00:10:10,680 Speaker 1: the Harvey Weinstein sex assault trial with the four Jane 182 00:10:10,720 --> 00:10:13,480 Speaker 1: does and then there were other witnesses who were there 183 00:10:13,520 --> 00:10:18,520 Speaker 1: to establish the pattern of behavior. The final arguments being 184 00:10:18,559 --> 00:10:21,520 Speaker 1: made for the defense are being made by Alan Jackson. 185 00:10:22,120 --> 00:10:25,480 Speaker 1: He's an attorney with Worksman Jackson and Quinn. We've talked 186 00:10:25,480 --> 00:10:30,880 Speaker 1: about Mark Worksman. Alan Jackson, I think also represented Kevin Spacey. 187 00:10:30,880 --> 00:10:33,640 Speaker 1: Familiar with the Kevin Spacey story anyway. He's a top 188 00:10:33,679 --> 00:10:37,840 Speaker 1: criminal defense lawyer and what we're hearing, oh, sexual weirdos 189 00:10:37,920 --> 00:10:42,280 Speaker 1: is his specialty. He made the case to the jury today. 190 00:10:42,320 --> 00:10:44,880 Speaker 1: The two of the women made it up and the 191 00:10:44,920 --> 00:10:48,960 Speaker 1: other two engaged in transactional sex. Which one do you 192 00:10:49,080 --> 00:10:53,440 Speaker 1: think he's accused the wife of Gavin Newsom, Oh, transactional sex? 193 00:10:53,559 --> 00:10:55,680 Speaker 1: You are correct, Yes, she is a Dane Jane Doe 194 00:10:55,760 --> 00:10:59,520 Speaker 1: number four. He spent some time on her. Particular attention, 195 00:10:59,559 --> 00:11:03,280 Speaker 1: it says, was paid to Jennifer Sybel Newsom. He argued 196 00:11:03,280 --> 00:11:08,840 Speaker 1: that her testimony was a theatrical, overly dramatized performance. She 197 00:11:09,040 --> 00:11:11,040 Speaker 1: of course said Weinstein raped her in the year two 198 00:11:11,040 --> 00:11:12,839 Speaker 1: thousand and five. She thought it was going to be 199 00:11:12,880 --> 00:11:15,840 Speaker 1: a business meeting. He said, what you saw was an 200 00:11:15,880 --> 00:11:19,719 Speaker 1: act That way, your defense attorney, that's what you'll do 201 00:11:19,840 --> 00:11:23,800 Speaker 1: to actresses who make charges you can always share performing. 202 00:11:23,920 --> 00:11:26,400 Speaker 1: That's right. Hey, she's a fake. She's a professional fake. 203 00:11:26,600 --> 00:11:28,920 Speaker 1: She's trained to be a fake. That was her career 204 00:11:29,040 --> 00:11:30,880 Speaker 1: all her life. She wanted to be a fake and 205 00:11:30,960 --> 00:11:36,480 Speaker 1: fool people. He argued that it was consensual, transactional, transactional sex, 206 00:11:37,040 --> 00:11:40,680 Speaker 1: but it's a odds with her self image as a successful, educated, 207 00:11:40,800 --> 00:11:44,240 Speaker 1: well bred, refined woman. And of course we also know 208 00:11:44,360 --> 00:11:48,679 Speaker 1: she's involved in these women's documentaries, so she's clearly on 209 00:11:48,800 --> 00:11:51,240 Speaker 1: the complete opposite stage of anybody that would do that. 210 00:11:51,880 --> 00:11:55,120 Speaker 1: So he's saying that she's she hates it, she's willing 211 00:11:55,120 --> 00:11:58,480 Speaker 1: to lie to purge herself of her own choices. And 212 00:11:58,520 --> 00:12:01,880 Speaker 1: then he displayed those emails that Newsom scent to Weinstein 213 00:12:02,000 --> 00:12:05,960 Speaker 1: after the alleged assault, asking for campaign money for her husband, 214 00:12:06,280 --> 00:12:10,320 Speaker 1: asking for advice, Remember that about how to handle the 215 00:12:10,360 --> 00:12:15,200 Speaker 1: press when it came to Newsom's you know, extra marital 216 00:12:15,200 --> 00:12:19,000 Speaker 1: affairs is before he married, before he married Tybell, but 217 00:12:19,440 --> 00:12:21,640 Speaker 1: he had apparently Yeah, I mean, you know that could 218 00:12:21,640 --> 00:12:24,839 Speaker 1: play both ways. I mean, she could get more sympathy 219 00:12:25,000 --> 00:12:29,280 Speaker 1: because she's the famous wife of the famous governor, and 220 00:12:29,520 --> 00:12:32,080 Speaker 1: and and she's pretty, and you know, people will be 221 00:12:32,160 --> 00:12:35,160 Speaker 1: enamored with her, she seems more credible, right, probably more. 222 00:12:35,679 --> 00:12:40,319 Speaker 1: You know, if you want to have a more nasty appraisal, 223 00:12:40,360 --> 00:12:44,640 Speaker 1: you could say she married a governor, she was sleeping 224 00:12:44,640 --> 00:12:47,120 Speaker 1: with a Hollywood producer. You know what, what's what's she 225 00:12:47,200 --> 00:12:50,120 Speaker 1: about here? She was she was a status climbers what 226 00:12:50,200 --> 00:12:54,920 Speaker 1: she was, and she wasn't nobody when this allegedly happened 227 00:12:54,920 --> 00:12:56,880 Speaker 1: in No. Five, she didn't meet newsom. I think till 228 00:12:56,880 --> 00:13:00,360 Speaker 1: the naxt she had she had very little success acting. Yeah, 229 00:13:00,400 --> 00:13:02,760 Speaker 1: and I imagine she just didn't have a whole lot 230 00:13:02,760 --> 00:13:07,000 Speaker 1: of talent or she just whatever she had wasn't appreciated. 231 00:13:08,840 --> 00:13:13,040 Speaker 1: He argued that Jane Doe number three also engaged in 232 00:13:13,080 --> 00:13:16,000 Speaker 1: consensual sex acts. She wanted to write a book called 233 00:13:16,080 --> 00:13:19,800 Speaker 1: Naked Massage. I've never heard that before. She's the one 234 00:13:19,840 --> 00:13:23,280 Speaker 1: that testified to Weinstein trapped her in a bathroom after 235 00:13:23,320 --> 00:13:25,800 Speaker 1: she gave him a massage and then grabbed her while 236 00:13:25,840 --> 00:13:31,240 Speaker 1: he pleasured himself. Fame and fortune attracts fame and fortune seekers. 237 00:13:31,880 --> 00:13:35,679 Speaker 1: He benefited, she benefited. That's the meaning of a transactional relationship. 238 00:13:36,000 --> 00:13:38,559 Speaker 1: They played the game, but they hate it now on equivocally, 239 00:13:38,920 --> 00:13:42,000 Speaker 1: and that hate translated into their testimony. That's how he 240 00:13:42,080 --> 00:13:44,880 Speaker 1: dramatically portrayed this to the jury. You know, the thing 241 00:13:45,040 --> 00:13:50,239 Speaker 1: is is that when you're dealing with actors and actresses 242 00:13:50,240 --> 00:13:52,720 Speaker 1: and show business on the lower rungs, it's a pretty 243 00:13:52,760 --> 00:13:56,440 Speaker 1: seedy business. Most of the actors. I mean, the expression 244 00:13:56,480 --> 00:13:58,400 Speaker 1: casting couch didn't come out of thing air. It's been 245 00:13:58,440 --> 00:14:01,400 Speaker 1: there for decades. A lot of women make their way 246 00:14:02,200 --> 00:14:05,760 Speaker 1: by sleeping around with producers and directors. Some young guys, 247 00:14:05,760 --> 00:14:08,280 Speaker 1: if they're gay, make their way by sleeping with the 248 00:14:08,360 --> 00:14:12,000 Speaker 1: gay producers and directors. You know. That's that's the way 249 00:14:12,040 --> 00:14:16,160 Speaker 1: the world is to a large extent, And most actors 250 00:14:16,160 --> 00:14:21,600 Speaker 1: and actresses are very insecure, really desperate. You know, every 251 00:14:21,680 --> 00:14:27,160 Speaker 1: year that ticks by makes you nervous because you age out. Obviously, 252 00:14:28,040 --> 00:14:31,000 Speaker 1: they want young people for the most part, acting to 253 00:14:31,080 --> 00:14:35,760 Speaker 1: get young audiences. And there's a clock ticking real loudly. Yeah. 254 00:14:35,800 --> 00:14:39,160 Speaker 1: Well that's who goes to movies more often, you know. 255 00:14:39,240 --> 00:14:43,800 Speaker 1: And it's obviously worse for women than men. And maybe 256 00:14:43,800 --> 00:14:47,560 Speaker 1: some women do get desperate and they finally resist, resist, resist, 257 00:14:47,600 --> 00:14:49,720 Speaker 1: and then they sell out. And what I'm saying is 258 00:14:49,760 --> 00:14:53,960 Speaker 1: this is the backdrop for a defense attorney to hone 259 00:14:54,040 --> 00:14:58,360 Speaker 1: in on the victims and try to create the reasonable doubt. 260 00:14:58,600 --> 00:15:02,680 Speaker 1: If I don't know if anybody's paying attention to the 261 00:15:02,880 --> 00:15:06,520 Speaker 1: Danny Masterson rape trial. He used to be in that 262 00:15:06,600 --> 00:15:11,000 Speaker 1: seventies show and his trial was going on down the 263 00:15:11,040 --> 00:15:16,080 Speaker 1: hallway from Weinstein's, and he was accused of raping several women. 264 00:15:16,600 --> 00:15:21,920 Speaker 1: And the jury came back today hung jury in all cases, 265 00:15:24,480 --> 00:15:26,800 Speaker 1: and they were all these were all scientologists. He was 266 00:15:26,840 --> 00:15:31,000 Speaker 1: a scientologist, the victims are scientologists. So there was that angle. 267 00:15:31,280 --> 00:15:34,560 Speaker 1: What I'm saying is it is hard to get rape convictions, 268 00:15:35,000 --> 00:15:39,800 Speaker 1: especially on people who are famous, especially when you're dealing 269 00:15:39,800 --> 00:15:44,640 Speaker 1: with actresses who may not present themselves as sympathetically as 270 00:15:44,760 --> 00:15:47,640 Speaker 1: you know, a cashier to grocery store. But Weinstein's already 271 00:15:47,680 --> 00:15:50,200 Speaker 1: been convicted in New York, and I'm sure this jury 272 00:15:50,640 --> 00:15:53,680 Speaker 1: knows that he has already been seen as credible that 273 00:15:53,720 --> 00:15:57,080 Speaker 1: he raped women in another state. It's likely they'll feel 274 00:15:57,120 --> 00:15:59,080 Speaker 1: the same way this time. Style how I feel, well, 275 00:15:59,120 --> 00:16:01,560 Speaker 1: he and I have talked about the truth, and the 276 00:16:01,600 --> 00:16:04,800 Speaker 1: truth is there was all sorts of shades of this. 277 00:16:05,320 --> 00:16:07,560 Speaker 1: There are women who go there and they are completely 278 00:16:07,560 --> 00:16:10,160 Speaker 1: sexually assaulted, and it's awful in this mental to rotten jail. 279 00:16:10,440 --> 00:16:12,480 Speaker 1: There are women that go there that understand the idea 280 00:16:12,480 --> 00:16:15,400 Speaker 1: of transactional sex, but maybe they changed their mind, and 281 00:16:15,440 --> 00:16:17,560 Speaker 1: he assaults somebody should rotten jail. And then there's the 282 00:16:17,600 --> 00:16:20,760 Speaker 1: third who understood what this was about and accepted what 283 00:16:20,800 --> 00:16:23,280 Speaker 1: they had to do and made no objection. Now he 284 00:16:23,440 --> 00:16:28,040 Speaker 1: is such a monster, like his whole persona is being 285 00:16:28,040 --> 00:16:32,280 Speaker 1: a monster, and he's got the deformed genitals, and he's 286 00:16:32,320 --> 00:16:35,840 Speaker 1: got the rape convictions and and he's so physically repulsive, right, 287 00:16:36,960 --> 00:16:40,720 Speaker 1: he really is physically repulsive. So his fame and his 288 00:16:40,800 --> 00:16:44,840 Speaker 1: money didn't help him. Probably not going to help him here, 289 00:16:45,400 --> 00:16:51,040 Speaker 1: but maybe for another guy being famous. Well, we went 290 00:16:51,080 --> 00:16:53,120 Speaker 1: through all those trials years ago where all the famous 291 00:16:53,160 --> 00:16:56,760 Speaker 1: people got off, right, Yes, yes, Michael Jackson got off, 292 00:16:56,840 --> 00:17:00,200 Speaker 1: and Robert Blake got off and Phil Specter remember out 293 00:17:00,200 --> 00:17:03,760 Speaker 1: off the first time, first time obviously OJ. So there 294 00:17:03,800 --> 00:17:07,399 Speaker 1: was this whole series of trials twenty years ago where 295 00:17:08,040 --> 00:17:12,320 Speaker 1: you could you couldn't get a well known person convicted, convicted. Man, 296 00:17:14,000 --> 00:17:15,720 Speaker 1: All right, we got more coming up. This is that 297 00:17:15,840 --> 00:17:18,359 Speaker 1: John and Ken show on k I AM six forty 298 00:17:18,359 --> 00:17:21,600 Speaker 1: live everywhere, the iHeartRadio app. The Moist Line returns during 299 00:17:21,720 --> 00:17:24,399 Speaker 1: this hour tomorrow. It'll be the first time in two weeks. 300 00:17:24,840 --> 00:17:29,000 Speaker 1: It'll come complete with our festive holiday Christmas music in 301 00:17:29,040 --> 00:17:31,800 Speaker 1: the background to drive you crazy rather than the usual sounds. 302 00:17:32,560 --> 00:17:35,679 Speaker 1: You can still leave a message. The iHeart radio app 303 00:17:35,960 --> 00:17:39,199 Speaker 1: is one way using the microphone icon, or call the 304 00:17:39,240 --> 00:17:42,440 Speaker 1: old toll free number one eight seven seven moist eighty 305 00:17:42,440 --> 00:17:46,800 Speaker 1: six one eight seven seven six six four seven eight 306 00:17:46,880 --> 00:17:50,200 Speaker 1: eighty six. I'm just looking at the pictures of tonight's 307 00:17:51,280 --> 00:17:55,080 Speaker 1: lavish White House state dinner for the French President, for 308 00:17:55,240 --> 00:17:58,159 Speaker 1: this crowd that you know, pushes the idea that we 309 00:17:58,200 --> 00:18:02,760 Speaker 1: should care about low income people who can't afford lavish 310 00:18:02,840 --> 00:18:05,760 Speaker 1: meals and big parties. You should see the outfits these 311 00:18:05,800 --> 00:18:09,040 Speaker 1: people are wearing. Good God Biden with his tuxedo and 312 00:18:09,080 --> 00:18:13,520 Speaker 1: the wives with all their resplendent gowns. Wow, they're John 313 00:18:13,600 --> 00:18:16,919 Speaker 1: Legends in there. We were just talking about him last hour. 314 00:18:17,000 --> 00:18:21,520 Speaker 1: Legend showed up. I heard Hunter Biden's there too. Isn't 315 00:18:21,520 --> 00:18:25,199 Speaker 1: that kind of weird? No, gray Son, No, because the 316 00:18:25,240 --> 00:18:28,520 Speaker 1: Biden's they're all sociopaths. They don't care, they have no shame. 317 00:18:29,200 --> 00:18:31,679 Speaker 1: This is apparently because of COVID. This is the first 318 00:18:32,080 --> 00:18:35,000 Speaker 1: big EVENTAE I ready had one in two years. I 319 00:18:35,080 --> 00:18:37,360 Speaker 1: didn't even This is because of COVID. They didn't want 320 00:18:37,400 --> 00:18:40,000 Speaker 1: to do the whole so they finally decided. And now's 321 00:18:40,080 --> 00:18:42,720 Speaker 1: the time since Biden became president, there hasn't been anything 322 00:18:42,760 --> 00:18:45,160 Speaker 1: this lavish like this kind of a state dinner. As 323 00:18:45,160 --> 00:18:47,800 Speaker 1: you mentioned earlier, they're serving lobster as much to Debra 324 00:18:47,880 --> 00:18:54,600 Speaker 1: marks delight, two hundred of them, this massive lobster slaughter. Yeah, 325 00:18:54,640 --> 00:18:58,360 Speaker 1: it was a lobster boyle. You should see the pot. 326 00:18:58,440 --> 00:19:01,440 Speaker 1: They all went in there at once, and you could 327 00:19:01,480 --> 00:19:05,760 Speaker 1: hear the screams of the two hundred lobsters exactly. Eric says, 328 00:19:05,800 --> 00:19:08,399 Speaker 1: We've been getting lots of calls that people are saying 329 00:19:08,440 --> 00:19:14,680 Speaker 1: that lobsters don't scream. Well, I say they do. Did 330 00:19:14,680 --> 00:19:19,520 Speaker 1: you do your own research yet? Come back tomorrow I 331 00:19:19,600 --> 00:19:22,600 Speaker 1: will with your portfolio of research. You know what we 332 00:19:22,600 --> 00:19:25,160 Speaker 1: could do. We could bring a lobster on the air, 333 00:19:25,960 --> 00:19:32,359 Speaker 1: just slowly boil it and I'm here, We'll put a microphone. Yeah, 334 00:19:32,400 --> 00:19:34,360 Speaker 1: I would walk out. Well, I just want to see 335 00:19:34,359 --> 00:19:41,520 Speaker 1: if they really scream. No, I can't wait for tomorrow. 336 00:19:42,440 --> 00:19:44,119 Speaker 1: I want to see her research. I am going to 337 00:19:44,160 --> 00:19:47,919 Speaker 1: do that now. Prepare yourself, because when we have the 338 00:19:48,000 --> 00:19:51,240 Speaker 1: change in government where the House of Representatives is now 339 00:19:51,280 --> 00:19:54,359 Speaker 1: controlled by Republicans, Well, do you see that a couple 340 00:19:54,359 --> 00:19:56,080 Speaker 1: of races are in down again because a couple of 341 00:19:56,119 --> 00:19:58,800 Speaker 1: states will not certify the elections. I think Arizona is 342 00:19:58,840 --> 00:20:01,800 Speaker 1: one of them. R Yeah, Arizona has has some wacky 343 00:20:01,920 --> 00:20:09,520 Speaker 1: county where no it's Andy. They don't they're not certifying it, 344 00:20:09,800 --> 00:20:12,040 Speaker 1: and there's a deadline. And I always wondered what would 345 00:20:12,040 --> 00:20:15,679 Speaker 1: happen if they don't meet the deadline, because you can't 346 00:20:15,720 --> 00:20:20,199 Speaker 1: carry on like this forever, right, And the rule is 347 00:20:20,280 --> 00:20:23,440 Speaker 1: if you don't certify the election and submit the numbers 348 00:20:23,440 --> 00:20:26,440 Speaker 1: by a certain date, then we're going to discount your votes. 349 00:20:26,480 --> 00:20:29,120 Speaker 1: They don't exist. So what does that mean in terms 350 00:20:29,119 --> 00:20:32,840 Speaker 1: of a congressional position. Well, I heard that one of them, 351 00:20:34,200 --> 00:20:36,879 Speaker 1: one of the Republicans, will end up losing because his 352 00:20:37,000 --> 00:20:39,760 Speaker 1: margin of victory is coming from this county and if 353 00:20:39,760 --> 00:20:42,880 Speaker 1: they take away his votes, he's going to lose. They're 354 00:20:42,920 --> 00:20:46,760 Speaker 1: just not going to count that that county. So I 355 00:20:46,600 --> 00:20:50,360 Speaker 1: imagine there's going to be intense pressure from the from 356 00:20:50,359 --> 00:20:54,400 Speaker 1: the Washington Republicans to you know, get in line here. 357 00:20:55,280 --> 00:20:57,680 Speaker 1: You saw that Trump Party came out and said, Kerry 358 00:20:57,720 --> 00:21:00,159 Speaker 1: Lake is the governor of Arizona. Go ahead and to 359 00:21:00,200 --> 00:21:04,520 Speaker 1: fight it. I know she's been carrying on like a 360 00:21:04,640 --> 00:21:09,119 Speaker 1: like a lunatic every day, you know, just absolutely ripping 361 00:21:09,119 --> 00:21:11,720 Speaker 1: off Trump's acts from two years ago. And everyone's tired 362 00:21:11,760 --> 00:21:14,399 Speaker 1: of this. I thought you said good things about her 363 00:21:14,400 --> 00:21:17,240 Speaker 1: a few months. No, one didn't know. I likes the 364 00:21:17,400 --> 00:21:19,520 Speaker 1: TV anchor, right, yeah. I like the way she told 365 00:21:19,520 --> 00:21:23,320 Speaker 1: off all the woke journalists. I enjoy. But yeah, this 366 00:21:23,400 --> 00:21:26,800 Speaker 1: is where everybody goes into cuckoo land. You know, you start, 367 00:21:26,880 --> 00:21:30,080 Speaker 1: you start saying the auction was stolen? Well, what's your proof? 368 00:21:30,400 --> 00:21:34,520 Speaker 1: I don't have it? Okay, how long this crowd needs 369 00:21:34,560 --> 00:21:35,840 Speaker 1: to do? And I think you had a story in 370 00:21:35,840 --> 00:21:38,000 Speaker 1: the pile the other day. Among these lines, they have 371 00:21:38,040 --> 00:21:41,040 Speaker 1: to figure out how to fight back. I just read 372 00:21:41,800 --> 00:21:45,320 Speaker 1: that Bass got more votes than any LA mayor has 373 00:21:45,320 --> 00:21:49,200 Speaker 1: ever gotten. And Biden, of course got eighty million votes, 374 00:21:49,240 --> 00:21:51,359 Speaker 1: which no US president, everybody running for US preident e 375 00:21:51,440 --> 00:21:54,919 Speaker 1: got eighty millions. It's the mail in ballots, and so 376 00:21:55,520 --> 00:21:57,240 Speaker 1: the other side has to do is figure out their 377 00:21:57,240 --> 00:21:59,680 Speaker 1: own way to get those mail in ballots. They're not 378 00:22:00,080 --> 00:22:04,200 Speaker 1: they don't even try. The Republicans don't even try. They 379 00:22:04,280 --> 00:22:08,480 Speaker 1: just harvest to harvest to remind people to mail in 380 00:22:08,560 --> 00:22:13,440 Speaker 1: their ballots. The Democrats have quite an organization behind this, yes, 381 00:22:13,560 --> 00:22:18,359 Speaker 1: and they have all the information of the voters, and 382 00:22:18,400 --> 00:22:22,000 Speaker 1: they are constantly sending messages to the voters saying, don't 383 00:22:22,119 --> 00:22:25,399 Speaker 1: forget mailing your ballot, mailing your ballot, mail in your ballot. 384 00:22:25,520 --> 00:22:28,760 Speaker 1: Nag nag. Yeah, because when you register as a registered 385 00:22:28,760 --> 00:22:31,320 Speaker 1: member of a party, I guess you'd probably give your 386 00:22:31,680 --> 00:22:35,280 Speaker 1: your address, your phone number over whatever they find you. 387 00:22:35,720 --> 00:22:40,040 Speaker 1: And and it works where the Republicans, you know, they're 388 00:22:40,080 --> 00:22:44,120 Speaker 1: so appalled by ballot harvesting and so appalled by mail 389 00:22:44,160 --> 00:22:47,600 Speaker 1: in ballots they just to try it rather than join you. 390 00:22:47,720 --> 00:22:49,800 Speaker 1: If you can't beat them, join them. This is the game, 391 00:22:50,840 --> 00:22:55,520 Speaker 1: you know. I mean you you lost power, you lost elections. 392 00:22:55,760 --> 00:22:59,560 Speaker 1: The Democrats snuck in all this funny business with mail 393 00:22:59,600 --> 00:23:03,160 Speaker 1: in ballot. It's in ballot harvesting. Okay, boo hoo, that's 394 00:23:03,320 --> 00:23:05,960 Speaker 1: that's your fault for not winning the election. Now they won. 395 00:23:06,280 --> 00:23:08,240 Speaker 1: Now they've got a new system, and you don't want 396 00:23:08,240 --> 00:23:11,840 Speaker 1: to play, and now you're losing elections like crazy. Got 397 00:23:11,880 --> 00:23:14,440 Speaker 1: They're thinking that all these extra votes that are coming 398 00:23:14,440 --> 00:23:16,600 Speaker 1: in under the mailing system, a lot of them are fraudulent, 399 00:23:16,680 --> 00:23:19,199 Speaker 1: that's what they're cling. But you kept a proof of it, 400 00:23:19,760 --> 00:23:21,879 Speaker 1: or you have to compete with your own set of 401 00:23:21,920 --> 00:23:25,160 Speaker 1: fraudulent votes. Right, and they find like an isolated case 402 00:23:25,200 --> 00:23:27,680 Speaker 1: of some error or problem, they say, there's your proof Instead. 403 00:23:28,080 --> 00:23:30,800 Speaker 1: What we talked about before, everybody wants to play the victim. 404 00:23:31,080 --> 00:23:36,159 Speaker 1: Oh I was victimized by vote theft and corruption. It's like, 405 00:23:36,359 --> 00:23:43,800 Speaker 1: shut up, overcome it, disenfranchised, god suppressed. I mean, people 406 00:23:43,840 --> 00:23:46,399 Speaker 1: actually believe what we were taught in school and we 407 00:23:46,400 --> 00:23:49,480 Speaker 1: were in third grade, that we have the most honest 408 00:23:49,760 --> 00:23:53,280 Speaker 1: democracy on the planet, the finest form of government. No 409 00:23:53,440 --> 00:23:59,080 Speaker 1: we don't. The system is infected with corrupt boobs all 410 00:23:59,080 --> 00:24:02,959 Speaker 1: over the place. Everyone's trying to gain the system. All right, 411 00:24:03,000 --> 00:24:06,000 Speaker 1: So one place we're going to watch is New York 412 00:24:06,040 --> 00:24:08,359 Speaker 1: City because the announcement was made this week by the 413 00:24:08,400 --> 00:24:11,199 Speaker 1: Mayor of New York City that they are going to 414 00:24:11,240 --> 00:24:14,800 Speaker 1: crack down on the city's homeless population and they are 415 00:24:14,840 --> 00:24:19,199 Speaker 1: going to involuntarily take in those deemed to be in 416 00:24:19,240 --> 00:24:23,600 Speaker 1: a psychiatric crisis. It was a broad announcement and Adams 417 00:24:23,640 --> 00:24:25,800 Speaker 1: was talking a lot about what's going on in the subways. 418 00:24:26,119 --> 00:24:28,720 Speaker 1: Apparently there are people that just lie there all day 419 00:24:29,160 --> 00:24:32,040 Speaker 1: whacked out, whether it's drugs or mental illness or both. 420 00:24:32,600 --> 00:24:35,000 Speaker 1: And he's just decided that this has gotten big enough 421 00:24:35,560 --> 00:24:38,840 Speaker 1: that we need to do something. He said, for too long, 422 00:24:38,880 --> 00:24:41,520 Speaker 1: there's been a gray area where policy, law and accountability 423 00:24:41,520 --> 00:24:43,760 Speaker 1: have not been clear. This has allowed people to need 424 00:24:43,800 --> 00:24:48,560 Speaker 1: to slip through the cracks, and it cannot continue. Now. 425 00:24:48,560 --> 00:24:50,280 Speaker 1: There are of questions about how they're going to do this. 426 00:24:50,280 --> 00:24:53,720 Speaker 1: Supposedly there's going to be special training for police officers 427 00:24:53,720 --> 00:24:56,680 Speaker 1: and even fire or in paramedic people to be able 428 00:24:56,720 --> 00:24:59,920 Speaker 1: to go out there and evaluate somebody who is homeles 429 00:25:00,160 --> 00:25:01,840 Speaker 1: to see whether or not they're so out of it 430 00:25:01,920 --> 00:25:04,080 Speaker 1: they can't really make a decision for themselves and they 431 00:25:04,119 --> 00:25:07,040 Speaker 1: can't even take care of the basics of life to 432 00:25:07,080 --> 00:25:09,800 Speaker 1: bring them in. It didn't take long, though, for the 433 00:25:09,840 --> 00:25:12,840 Speaker 1: advocates for homeless people to go off and say this 434 00:25:12,920 --> 00:25:17,200 Speaker 1: is horrible that to give the police this power is 435 00:25:17,240 --> 00:25:20,320 Speaker 1: going to result in people's several liberties being taken away. 436 00:25:20,600 --> 00:25:22,720 Speaker 1: But it's just talk. Let let them, let them pout 437 00:25:22,800 --> 00:25:25,840 Speaker 1: and complain and scream. Who can't I'm just amazed how 438 00:25:25,920 --> 00:25:30,120 Speaker 1: intimidated politicians are by activists. Tell them to go bleep themselves. 439 00:25:31,080 --> 00:25:33,480 Speaker 1: They go run for mayor yourself, and you can set 440 00:25:33,560 --> 00:25:39,800 Speaker 1: up your paradise of vomit and excrement and urine. How 441 00:25:39,840 --> 00:25:41,480 Speaker 1: about this, how about let us do this and we'll 442 00:25:41,520 --> 00:25:43,200 Speaker 1: see how it goes. And if you have complaints and 443 00:25:43,320 --> 00:25:45,720 Speaker 1: come to us, but I wouldn't listen to them. You 444 00:25:45,760 --> 00:25:49,080 Speaker 1: don't get to complain, Go go get a real job. 445 00:25:49,440 --> 00:25:53,240 Speaker 1: The problem is in the story is there's no place 446 00:25:53,640 --> 00:25:57,880 Speaker 1: to put Yeah, we're here, there's not enough mental health services, right, 447 00:25:58,440 --> 00:26:00,560 Speaker 1: So I don't know what you do about that. You 448 00:26:00,560 --> 00:26:05,720 Speaker 1: should take them off the street, definitely, no excuses. But 449 00:26:06,280 --> 00:26:09,359 Speaker 1: you have decades and decades where nobody has built any 450 00:26:09,400 --> 00:26:13,360 Speaker 1: mental health centers. They also don't have employees either. Yeah, 451 00:26:13,359 --> 00:26:15,000 Speaker 1: I know if people want to work in that profession 452 00:26:15,000 --> 00:26:18,760 Speaker 1: any No, they don't. It's crappy pay and you're dealing 453 00:26:18,760 --> 00:26:21,439 Speaker 1: with insane, crazy people. And in this case, these are 454 00:26:21,480 --> 00:26:23,280 Speaker 1: going to be crazy people who don't want to be there. 455 00:26:23,800 --> 00:26:27,840 Speaker 1: They're going to be thrown into these treatment centers against 456 00:26:27,880 --> 00:26:31,360 Speaker 1: their will. So, but you have to spend a lot 457 00:26:31,359 --> 00:26:33,640 Speaker 1: of money, and it takes a while to build it. Now, 458 00:26:33,960 --> 00:26:36,879 Speaker 1: they should start now and then maybe in three years 459 00:26:37,080 --> 00:26:40,360 Speaker 1: or five years they'll have a big system. But that's 460 00:26:40,359 --> 00:26:43,159 Speaker 1: what you ought to be spending tax money on in 461 00:26:43,200 --> 00:26:45,080 Speaker 1: the meantime. Just get them off the street. Do whatever 462 00:26:45,119 --> 00:26:47,119 Speaker 1: you have to do now, you're right, it says in 463 00:26:47,160 --> 00:26:49,240 Speaker 1: New York Times. He's acknowledged in New York City does 464 00:26:49,280 --> 00:26:52,160 Speaker 1: not have enough psychiatric beds to accommodate everyone. That's right. 465 00:26:52,760 --> 00:26:55,960 Speaker 1: It was a decade long deinstitutionalization push, which we know 466 00:26:56,040 --> 00:26:58,280 Speaker 1: well here in California, that closed a lot of these 467 00:26:58,280 --> 00:27:02,280 Speaker 1: psychospitals and it was a failed It's a failed experiment 468 00:27:02,320 --> 00:27:04,600 Speaker 1: and it's gone on for decades. It's a horrible failure. 469 00:27:04,760 --> 00:27:06,560 Speaker 1: And now you have two thousand people dying in the 470 00:27:06,560 --> 00:27:09,679 Speaker 1: streets in LA every year. Two thousand people. Can you 471 00:27:09,760 --> 00:27:12,840 Speaker 1: have a bigger failure. But we do need to cycle 472 00:27:12,880 --> 00:27:15,880 Speaker 1: back to institutionalization. People hate that word because it sounds 473 00:27:15,880 --> 00:27:18,359 Speaker 1: like it's going to be horrible, But we have to 474 00:27:18,400 --> 00:27:22,000 Speaker 1: do that. And how about making the institutions not horrible, 475 00:27:22,359 --> 00:27:26,040 Speaker 1: I know, not cruel and torturous. There's a trick because 476 00:27:26,040 --> 00:27:28,040 Speaker 1: there's always evil operators. They just want to get their 477 00:27:28,080 --> 00:27:29,760 Speaker 1: hands on the money, and then they'll treat the people 478 00:27:29,800 --> 00:27:32,040 Speaker 1: like crap in the institution. So maybe there aren't good 479 00:27:32,200 --> 00:27:36,040 Speaker 1: enough good people available to do this properly. All right, 480 00:27:36,040 --> 00:27:38,520 Speaker 1: we'll finish coming up next, John and Ken kf I 481 00:27:38,680 --> 00:27:41,680 Speaker 1: am six forty Live everywhere the iHeartRadio app Well, it 482 00:27:41,800 --> 00:27:45,320 Speaker 1: seems like every week or so, more and more proof 483 00:27:45,960 --> 00:27:51,399 Speaker 1: comes out that the COVID lockdowns were really, really damaging. 484 00:27:51,440 --> 00:27:55,119 Speaker 1: And here is a brand new Stanford study that just 485 00:27:55,280 --> 00:28:01,320 Speaker 1: findes that teenagers apparently suffered from premature early aged brains. 486 00:28:02,240 --> 00:28:06,000 Speaker 1: First one, I saw this headline, I thought their brains shrunk. Well, no, 487 00:28:06,320 --> 00:28:11,280 Speaker 1: but the pandemic stress. According to this study found that 488 00:28:11,520 --> 00:28:15,959 Speaker 1: changes in brain structure that occur naturally with age sped 489 00:28:16,080 --> 00:28:22,280 Speaker 1: up in adolescence as they experienced the COVID nineteen lockdowns. 490 00:28:22,320 --> 00:28:25,400 Speaker 1: Their brains ended up looking like those of their peers 491 00:28:25,440 --> 00:28:29,760 Speaker 1: who were about three years older. That could have lasting implications. 492 00:28:29,800 --> 00:28:37,359 Speaker 1: According to this research, Stanford Professor of psychology Ian Gottlieb said, 493 00:28:37,400 --> 00:28:41,960 Speaker 1: we know developmentally that brains change over time. That's not 494 00:28:42,040 --> 00:28:45,320 Speaker 1: at all surprised, But what was surprising here was how 495 00:28:45,400 --> 00:28:49,120 Speaker 1: quickly these changes occurred in adolescence. As a result of 496 00:28:49,120 --> 00:28:52,840 Speaker 1: the pandemic. What those changes mean as far as teens 497 00:28:52,920 --> 00:28:56,240 Speaker 1: brain function and mental health, and whether the changes will 498 00:28:56,280 --> 00:29:00,640 Speaker 1: be temporary or permanent is not clear yet. So I 499 00:29:00,680 --> 00:29:04,680 Speaker 1: guess stress can age your brain faster. Huh. Stress ages 500 00:29:04,800 --> 00:29:08,320 Speaker 1: everything in your body now, yes, your your internal organs, 501 00:29:08,360 --> 00:29:11,880 Speaker 1: your immune system, your looks. I know that's why you 502 00:29:11,880 --> 00:29:15,480 Speaker 1: should just chill out all the time. Yeah. No, it's stresses. 503 00:29:15,800 --> 00:29:18,560 Speaker 1: It's like the big killer. Yeah, and it's too bad 504 00:29:18,600 --> 00:29:21,320 Speaker 1: because you know, often people smoke because it relieves their stress, 505 00:29:21,320 --> 00:29:23,200 Speaker 1: but then that age is your body too, so right, 506 00:29:23,280 --> 00:29:26,600 Speaker 1: it's kind of a no win situation. You just you 507 00:29:26,680 --> 00:29:29,520 Speaker 1: just can't care so much because it doesn't really matter 508 00:29:29,560 --> 00:29:34,320 Speaker 1: in the end, does it. Well, we just all go 509 00:29:34,520 --> 00:29:39,000 Speaker 1: it all goes dark. Yeah, but think in the sixty year, 510 00:29:39,120 --> 00:29:41,440 Speaker 1: seventy or eighty or ninety years you're here. You want 511 00:29:41,440 --> 00:29:44,080 Speaker 1: to have it to be you know, somewhat pleasurable. You're 512 00:29:44,080 --> 00:29:47,040 Speaker 1: not suffering. Yeah, but there, but it's not so pleasurable 513 00:29:47,080 --> 00:29:51,560 Speaker 1: for a lot of people. No, there, there's there there. 514 00:29:51,600 --> 00:29:55,240 Speaker 1: You know you're you're doing it. You're chasing all these 515 00:29:55,280 --> 00:29:58,320 Speaker 1: different things because you want to be happy. But chasing 516 00:29:58,360 --> 00:30:02,080 Speaker 1: it makes you unhappy because it's difficult. You're not going 517 00:30:02,120 --> 00:30:06,520 Speaker 1: to get everything you try for, you get thwarted. The 518 00:30:06,560 --> 00:30:11,040 Speaker 1: country had never tried anything this big before, which was 519 00:30:11,080 --> 00:30:14,120 Speaker 1: the lockdowns of twenty twenty into twenty one, and by 520 00:30:14,200 --> 00:30:16,560 Speaker 1: somebody should have thought that out first. I remember when 521 00:30:16,600 --> 00:30:19,000 Speaker 1: we did this story back then. This came from what 522 00:30:19,160 --> 00:30:21,959 Speaker 1: was a hack in the in the George Bush administration 523 00:30:22,000 --> 00:30:25,040 Speaker 1: and came up with this idea of let's just socially 524 00:30:25,040 --> 00:30:28,520 Speaker 1: isolate everybody. It was it was bureaucrat's brain social distancing 525 00:30:28,560 --> 00:30:32,680 Speaker 1: and no, it's bureaucrat's brainstorming. Okay, they have a meeting, 526 00:30:32,720 --> 00:30:35,160 Speaker 1: well what do we do if this happens, and some 527 00:30:35,240 --> 00:30:37,600 Speaker 1: guy says, oh, I don't know, let's lock everybody down then, 528 00:30:37,640 --> 00:30:40,200 Speaker 1: because if everybody's locked in their homes, they can't spread 529 00:30:40,400 --> 00:30:44,760 Speaker 1: the disease. Right, Yeah, that's right. And they never went 530 00:30:44,800 --> 00:30:47,440 Speaker 1: to step two. Okay, what are the consequences? How are 531 00:30:47,520 --> 00:30:51,800 Speaker 1: kids going to learn? What's that gonna do to the 532 00:30:52,360 --> 00:30:57,480 Speaker 1: the relationship building that children and teenagers normally do. What 533 00:30:57,600 --> 00:31:02,280 Speaker 1: does that do to people's careers, economy? I mean, there's 534 00:31:02,280 --> 00:31:05,920 Speaker 1: so there's in fact, like in China, there was oh god, 535 00:31:05,920 --> 00:31:07,720 Speaker 1: there was a story in the LA Times today about 536 00:31:07,960 --> 00:31:11,200 Speaker 1: you know, the COVID lockdowns in China and and and 537 00:31:12,400 --> 00:31:16,120 Speaker 1: the La Times was subtly in the story rooting for lockdowns. 538 00:31:16,600 --> 00:31:19,480 Speaker 1: Oh I saw that because if they removed the lockdowns, 539 00:31:19,480 --> 00:31:21,880 Speaker 1: there's not enough vaccinating people. It could be a disaster, right, 540 00:31:22,040 --> 00:31:25,320 Speaker 1: And part of it is that the Chinese immune systems 541 00:31:25,440 --> 00:31:28,160 Speaker 1: won't be able to handle the COVID because they've all 542 00:31:28,200 --> 00:31:31,680 Speaker 1: been lockdown for so long and the vaccines either didn't 543 00:31:31,720 --> 00:31:34,360 Speaker 1: work or people didn't use them, and so now it's 544 00:31:34,400 --> 00:31:37,560 Speaker 1: got to spread like wildfire. Everyone. Everybody's gonna die. It's 545 00:31:37,560 --> 00:31:40,440 Speaker 1: gonna be a terrible disaster. So let's stay locked down 546 00:31:40,880 --> 00:31:45,840 Speaker 1: without looking and saying because you locked down, the the 547 00:31:46,280 --> 00:31:50,520 Speaker 1: immune systems have not been challenged like here they claim 548 00:31:50,600 --> 00:31:52,920 Speaker 1: like ninety five of us got in contact with the 549 00:31:52,920 --> 00:31:56,040 Speaker 1: COVID virus, so there's a lot of immunity. So you're 550 00:31:56,040 --> 00:31:58,720 Speaker 1: not seeing these big waves anymore because we all have 551 00:31:58,760 --> 00:32:02,560 Speaker 1: antibodies one where the other, and we made vaccines that worked. 552 00:32:02,760 --> 00:32:07,240 Speaker 1: The Chinese didn't and they don't want to buy ours. Well, 553 00:32:07,240 --> 00:32:09,280 Speaker 1: over this study, they matched a group of eighty two 554 00:32:09,320 --> 00:32:12,800 Speaker 1: teens ages thirteen to seventeen who experienced the twenty twenty 555 00:32:12,800 --> 00:32:15,120 Speaker 1: lockdowns with a group of eighty one teens who had 556 00:32:15,120 --> 00:32:18,440 Speaker 1: been assessed before the pandemic. The two groups of youth 557 00:32:18,480 --> 00:32:24,560 Speaker 1: were matched by sex, age, of pubertal status, raith, race, ethnicity, parentalogy, 558 00:32:24,560 --> 00:32:28,360 Speaker 1: and they did everything following the pandemic shutdowns. The researchers 559 00:32:28,640 --> 00:32:31,760 Speaker 1: observed growth in the hippocampus and what is it called 560 00:32:31,800 --> 00:32:36,600 Speaker 1: the agamagala areas of the brain mgdala that affect memories 561 00:32:36,600 --> 00:32:41,480 Speaker 1: and emotions, and found thinning in the cortex that affects 562 00:32:41,080 --> 00:32:45,200 Speaker 1: as executive functioning that made adolescent brains appear comparable to 563 00:32:45,360 --> 00:32:51,280 Speaker 1: those of youths that were three years older. Yeah, at 564 00:32:51,320 --> 00:32:53,520 Speaker 1: least in the short run, this is the case. They 565 00:32:53,520 --> 00:32:56,440 Speaker 1: don't know how this will play out in the long run, 566 00:32:56,560 --> 00:33:01,760 Speaker 1: but clearly, in addition to learning loss, there was brain development, 567 00:33:02,320 --> 00:33:06,800 Speaker 1: a tremendous lack of stimulation because they couldn't go to school, 568 00:33:06,960 --> 00:33:12,360 Speaker 1: and the stress and the loneliness. Yeah, it's as terrible idea. 569 00:33:12,440 --> 00:33:15,320 Speaker 1: And you know, they the if they ever tried to 570 00:33:15,320 --> 00:33:17,560 Speaker 1: do this in America again, then people should go out 571 00:33:17,760 --> 00:33:21,520 Speaker 1: and take to the streets and arm themselves, arm themselves, 572 00:33:21,840 --> 00:33:25,320 Speaker 1: arm themselves. It took a step there, Yeah, all right, 573 00:33:26,000 --> 00:33:29,000 Speaker 1: all right, Conway's here, Hey, now, hey, now, hey. Steve 574 00:33:29,040 --> 00:33:31,480 Speaker 1: Gregory's coming on tonight at six oh five to talk 575 00:33:31,480 --> 00:33:34,480 Speaker 1: about the ten students that were I guess they're treated 576 00:33:34,480 --> 00:33:37,600 Speaker 1: for possible cannabis overdose. I didn't know you can overdose 577 00:33:37,760 --> 00:33:40,040 Speaker 1: on weed. I thought you just get really really high, 578 00:33:40,160 --> 00:33:43,280 Speaker 1: didn't you try. I've never really I don't really like 579 00:33:43,360 --> 00:33:46,360 Speaker 1: to be too too crazy. I like a little buzz 580 00:33:46,360 --> 00:33:47,640 Speaker 1: once in a while, but I don't like to be, 581 00:33:47,720 --> 00:33:50,080 Speaker 1: you know, out of control, right, I don't like it. 582 00:33:50,200 --> 00:33:53,480 Speaker 1: Like Adam Carolla said, you know, ten twenty thirty years ago, 583 00:33:53,520 --> 00:33:55,240 Speaker 1: when you took a hit of weed, you just had 584 00:33:55,280 --> 00:33:57,120 Speaker 1: a buzz. Now you take a hit of this new 585 00:33:57,160 --> 00:33:59,960 Speaker 1: weed and you're in the desert nude looking for turtle. 586 00:34:00,480 --> 00:34:02,880 Speaker 1: You know. It's just it's way too run. So what's 587 00:34:02,920 --> 00:34:05,360 Speaker 1: wrong with that? Yeah, it's not. It might be you know, 588 00:34:05,400 --> 00:34:07,800 Speaker 1: for some for some right. Dean Sharp is coming on 589 00:34:07,840 --> 00:34:11,960 Speaker 1: tonight the House Whisperer and also at Target and CVS 590 00:34:12,320 --> 00:34:15,719 Speaker 1: and other major retailers many cold and flu medication. All 591 00:34:15,760 --> 00:34:18,759 Speaker 1: the shells are empty. God yeah, so, and they're also 592 00:34:18,840 --> 00:34:20,879 Speaker 1: a problem with people hoarding it. People aren't even sick, 593 00:34:20,920 --> 00:34:22,799 Speaker 1: but they're getting it in chase. They do get sick. 594 00:34:25,080 --> 00:34:28,960 Speaker 1: That's right, they're they're back. And then California's Department of Justice, 595 00:34:29,239 --> 00:34:33,160 Speaker 1: uh mistakenly posted the names and addresses and birthdays of 596 00:34:33,320 --> 00:34:36,080 Speaker 1: nearly two hundred thousand gun owners on the Yeah, that 597 00:34:36,160 --> 00:34:40,359 Speaker 1: was a mistake. Yeah right, We're sorry. A radical miss 598 00:34:40,640 --> 00:34:44,080 Speaker 1: coming for you, that's right. Uh. And then the World 599 00:34:44,080 --> 00:34:47,120 Speaker 1: Cup ratings over the for the US of victory over 600 00:34:47,120 --> 00:34:50,160 Speaker 1: I Ran were huge, huge, huge, huge. I don't know it. 601 00:34:51,040 --> 00:34:53,759 Speaker 1: You guys watch it. I know you big soccer fan. 602 00:34:54,160 --> 00:34:56,839 Speaker 1: I just watched one of the Polish matches. Oh, did 603 00:34:56,840 --> 00:34:59,239 Speaker 1: they win? The Poles win? The Poles have made it 604 00:34:59,280 --> 00:35:01,759 Speaker 1: to the next round. But they made it to the 605 00:35:01,760 --> 00:35:04,239 Speaker 1: next round by well they had they had to win 606 00:35:04,320 --> 00:35:06,480 Speaker 1: a loss in a time, right, but the last game 607 00:35:06,520 --> 00:35:12,960 Speaker 1: they lost it was good enough. America's undefeated. It's not 608 00:35:13,000 --> 00:35:15,320 Speaker 1: going to win the World Cup. Let's be real. Well, 609 00:35:15,600 --> 00:35:18,960 Speaker 1: you know, I don't anything could happen, you know. You know. 610 00:35:19,000 --> 00:35:21,200 Speaker 1: The one thing I like about the game, and I 611 00:35:21,280 --> 00:35:22,880 Speaker 1: and there's very few things to do, but the one 612 00:35:22,880 --> 00:35:24,279 Speaker 1: thing I like about the game is when they start 613 00:35:24,320 --> 00:35:26,719 Speaker 1: that game, there are no commercials until halftime, and there 614 00:35:26,760 --> 00:35:29,440 Speaker 1: are no commercials until it's over. If that clock keeps 615 00:35:29,520 --> 00:35:33,840 Speaker 1: running a lot, they have to keep right right, exactly. 616 00:35:34,600 --> 00:35:38,440 Speaker 1: They got the right idea, right, uninterrupted, no commercials, except 617 00:35:38,480 --> 00:35:41,359 Speaker 1: nothing happens on the field. They just run back and forth. Right. 618 00:35:41,440 --> 00:35:43,359 Speaker 1: The NBA knew they were they were in trouble when 619 00:35:43,400 --> 00:35:46,600 Speaker 1: nobody was scoring enough points and people started to drift 620 00:35:46,640 --> 00:35:48,960 Speaker 1: off to other sports. So they created three point line. Right, 621 00:35:49,280 --> 00:35:51,560 Speaker 1: something's gonna happen like that in soccer. They have to 622 00:35:51,719 --> 00:35:54,400 Speaker 1: they can't go zero zero, you know what. I'm surprised 623 00:35:54,440 --> 00:35:57,480 Speaker 1: watching the match. It was played exactly like I remember 624 00:35:57,760 --> 00:35:59,800 Speaker 1: when my kids were in the rec leagues playing. So 625 00:36:00,040 --> 00:36:02,360 Speaker 1: everybody goes towards the ball. Everybody runs to the ball, 626 00:36:02,480 --> 00:36:04,080 Speaker 1: they go up, they go down, they go up to 627 00:36:04,320 --> 00:36:08,160 Speaker 1: Nobody ever scores. That's great, a lot of nuance to 628 00:36:08,239 --> 00:36:10,680 Speaker 1: the game. Were you the guys that brought Were you 629 00:36:10,719 --> 00:36:12,719 Speaker 1: the family that brought the cut the sliced oranges to 630 00:36:12,760 --> 00:36:17,520 Speaker 1: the game? Well? Yeah, because there was snack mom, that's right, 631 00:36:17,640 --> 00:36:21,440 Speaker 1: snack mom, snack mom, I love snacks. There were snack 632 00:36:21,480 --> 00:36:24,120 Speaker 1: moms who brought candy bars, and then there were snack 633 00:36:24,160 --> 00:36:27,719 Speaker 1: bomb moms who bought like avocado slices. Yeah, kids didn't 634 00:36:27,760 --> 00:36:29,719 Speaker 1: like those moms. It was too hot. When my daughter 635 00:36:29,760 --> 00:36:32,200 Speaker 1: said you wanted to quit soccer, I'm like, hallelujah, man, 636 00:36:33,280 --> 00:36:36,840 Speaker 1: let's get let's run. Those were long guys. It was 637 00:36:36,880 --> 00:36:39,160 Speaker 1: at halftime. She because I gotta I hate soccer. Let's 638 00:36:39,160 --> 00:36:41,479 Speaker 1: get in the car. They'll figure it out. They'll figure 639 00:36:41,600 --> 00:36:44,400 Speaker 1: you're not to hear anymore. All right, kaways, next do 640 00:36:45,000 --> 00:36:51,239 Speaker 1: come on Los Angeles, Orange County Live everywhere in the 641 00:36:51,280 --> 00:36:52,160 Speaker 1: iHeartRadio app.