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We've been going in the last 11 00:00:33,960 --> 00:00:38,479 Speaker 1: half hour through a number of ridiculous crime stories and 12 00:00:38,560 --> 00:00:42,640 Speaker 1: Steve Gregory has another one imagined four thirty in the 13 00:00:42,680 --> 00:00:46,559 Speaker 1: morning on a Sunday. Yeah, and you get awakened buy 14 00:00:46,560 --> 00:00:50,400 Speaker 1: a home invasion robbery. Well, actually he wasn't awakened. He 15 00:00:50,440 --> 00:00:52,800 Speaker 1: was coming home from having an evening with his friends 16 00:00:53,200 --> 00:00:56,520 Speaker 1: and he walked into the garage. This is in Temple City, 17 00:00:56,680 --> 00:00:58,840 Speaker 1: and he goes through the garage into his kitchen from 18 00:00:59,080 --> 00:01:00,640 Speaker 1: end and when he walked into the kitchen, he was 19 00:01:00,720 --> 00:01:04,360 Speaker 1: met by at least three guys inside his kitchen and 20 00:01:05,640 --> 00:01:09,560 Speaker 1: he struggled with them and they basically started kind of 21 00:01:09,600 --> 00:01:13,080 Speaker 1: beating him up, and one of them shot a handgun 22 00:01:13,080 --> 00:01:16,000 Speaker 1: and hit the guy in an elbow, and then somehow 23 00:01:16,000 --> 00:01:17,920 Speaker 1: he got a cut in his face, and so he 24 00:01:18,000 --> 00:01:20,000 Speaker 1: kind of went he kind of stumbled back outside, and 25 00:01:20,080 --> 00:01:21,600 Speaker 1: he was able to get his buddy that had just 26 00:01:21,680 --> 00:01:24,000 Speaker 1: dropped him off, called him back over and they went 27 00:01:24,040 --> 00:01:27,840 Speaker 1: to the hospital. In the meantime, there were two women 28 00:01:27,880 --> 00:01:30,240 Speaker 1: inside that were found up in the second floor of 29 00:01:30,240 --> 00:01:32,600 Speaker 1: the house with zip ties on, and there was also 30 00:01:32,640 --> 00:01:36,840 Speaker 1: a baby. Oh so while they were awakened, Yeah, they 31 00:01:36,880 --> 00:01:41,320 Speaker 1: were away exactly. But here's the thing. The guys were 32 00:01:41,360 --> 00:01:43,360 Speaker 1: able to get away with two thousand dollars in cash 33 00:01:43,400 --> 00:01:46,440 Speaker 1: from this guy. They had it in his pocket. So, 34 00:01:46,680 --> 00:01:48,640 Speaker 1: you know, I was talking to detectives about this and 35 00:01:48,680 --> 00:01:51,440 Speaker 1: I'm thinking, well, you know, what's the deal here, And 36 00:01:51,480 --> 00:01:54,240 Speaker 1: they're thinking that this may have been more tied to 37 00:01:54,360 --> 00:01:58,760 Speaker 1: a maybe a follow home situation. They're looking they're exploring that, yeah, 38 00:01:58,840 --> 00:02:01,680 Speaker 1: because someone might have been out at a casino or 39 00:02:01,720 --> 00:02:04,919 Speaker 1: a card room or something like that. And what's open 40 00:02:05,000 --> 00:02:07,800 Speaker 1: where you're coming home at four thirty in the warning Well, no, 41 00:02:08,000 --> 00:02:11,000 Speaker 1: I don't know, that's well casinos, right, Yeah, that's what 42 00:02:11,120 --> 00:02:14,400 Speaker 1: I'm saying it's so short. There could have been that. 43 00:02:14,480 --> 00:02:16,840 Speaker 1: But what's happening now is this is a part of 44 00:02:16,840 --> 00:02:19,640 Speaker 1: a bigger issue in the San Gabriel Valley. And again 45 00:02:19,680 --> 00:02:21,920 Speaker 1: this is in Temple City that has happened yesterday, But 46 00:02:22,000 --> 00:02:25,440 Speaker 1: this is one of a list of home invasion robberies 47 00:02:25,680 --> 00:02:28,440 Speaker 1: and targeted robberies that are happening in the Asian community. 48 00:02:28,760 --> 00:02:30,680 Speaker 1: And this is why it's a big problem now for 49 00:02:30,720 --> 00:02:33,760 Speaker 1: the l County Sheriff's Department. They've been trying to get 50 00:02:33,760 --> 00:02:36,880 Speaker 1: the Asian community to cooperate, to come forward, and typically, 51 00:02:36,880 --> 00:02:41,519 Speaker 1: according to law enforcement, the Asian community is a lot 52 00:02:41,560 --> 00:02:46,000 Speaker 1: more reticent or hesitant to come forward that in their culture, 53 00:02:46,400 --> 00:02:49,280 Speaker 1: they just keep to themselves. Even if you're a victim 54 00:02:49,280 --> 00:02:50,880 Speaker 1: of a crime in that community, a lot of times 55 00:02:50,880 --> 00:02:54,040 Speaker 1: they won't come forward. So it's they're having some problems there. Now. 56 00:02:54,040 --> 00:02:57,360 Speaker 1: You've got that going on simultaneously with another series of 57 00:02:57,440 --> 00:03:00,760 Speaker 1: home invasion robberies happening in the San Fernandovo Alley, and 58 00:03:00,880 --> 00:03:05,559 Speaker 1: that's targeting more elderly couples or elderly or elderly individuals, 59 00:03:06,000 --> 00:03:08,240 Speaker 1: and you just had their most recent one in Encino 60 00:03:08,560 --> 00:03:11,440 Speaker 1: where the man and the woman were in the house 61 00:03:11,480 --> 00:03:13,639 Speaker 1: and they broke in. And what they did is they 62 00:03:13,880 --> 00:03:16,800 Speaker 1: kind of bum rushed him. As the man was coming 63 00:03:16,840 --> 00:03:20,679 Speaker 1: home from somewhere, and as he was walking in, they 64 00:03:20,800 --> 00:03:23,320 Speaker 1: come up behind him and push their way into the house. 65 00:03:23,720 --> 00:03:25,560 Speaker 1: So they literally sit out and wait and you know, 66 00:03:25,639 --> 00:03:27,520 Speaker 1: kind of wait for him to come in. And then 67 00:03:27,560 --> 00:03:28,880 Speaker 1: they went in and they were trying to cover the 68 00:03:28,960 --> 00:03:31,680 Speaker 1: tracks by burning burning the house down, and then they 69 00:03:31,720 --> 00:03:34,520 Speaker 1: bludgeoned the woman to death and the inside of the 70 00:03:34,520 --> 00:03:37,040 Speaker 1: house was burning and she was burned and she was 71 00:03:37,080 --> 00:03:39,880 Speaker 1: dead underneath and they found her halfway under the bed. 72 00:03:40,640 --> 00:03:44,600 Speaker 1: So they're turning violent. Is there's an increase? He said, 73 00:03:45,320 --> 00:03:48,440 Speaker 1: both valleys, right, Sam for dandel Sat Gabriel. Is there 74 00:03:48,440 --> 00:03:51,360 Speaker 1: any sense that there is a network of people doing this, 75 00:03:51,720 --> 00:03:54,800 Speaker 1: great question? Organized. Yeah, that's kind of what they're thinking now, 76 00:03:54,840 --> 00:03:57,400 Speaker 1: is because if you look at the sophistication of what 77 00:03:57,440 --> 00:03:59,800 Speaker 1: they're doing, and I say that I used the term loosely, 78 00:03:59,800 --> 00:04:04,280 Speaker 1: and I guess they should say they're they're more in tune. 79 00:04:04,920 --> 00:04:08,760 Speaker 1: They rehearse and they study so they know what types 80 00:04:08,800 --> 00:04:12,720 Speaker 1: of neighborhoods to target, what types of vulnerable individuals to target. 81 00:04:13,200 --> 00:04:17,159 Speaker 1: Elderly couples, if you will. The Asian community that they 82 00:04:17,279 --> 00:04:19,640 Speaker 1: know their target and they know the time to strike. 83 00:04:19,839 --> 00:04:22,719 Speaker 1: And this is why, like in cops are having had 84 00:04:22,720 --> 00:04:24,560 Speaker 1: a tough time with it, and they're trying to put 85 00:04:24,560 --> 00:04:26,800 Speaker 1: out the word the best they can, but it's really 86 00:04:26,839 --> 00:04:29,320 Speaker 1: still a problem. Well, I can see the elderly would 87 00:04:29,320 --> 00:04:33,200 Speaker 1: be less likely to physically resist obviously, right, the Asian 88 00:04:33,240 --> 00:04:36,560 Speaker 1: community being more reluctant. Which is interesting because I have 89 00:04:36,720 --> 00:04:41,159 Speaker 1: noticed that a lot of Asian immigrants are the next generation. 90 00:04:41,240 --> 00:04:44,839 Speaker 1: They've been in some areas more organized. Right. You know, 91 00:04:44,880 --> 00:04:46,880 Speaker 1: they came to this country, or their parents came to 92 00:04:46,920 --> 00:04:50,880 Speaker 1: this country for freedom and for safety, because they thought 93 00:04:50,880 --> 00:04:56,039 Speaker 1: America was the place where things are normal, and they 94 00:04:56,120 --> 00:05:00,440 Speaker 1: have been. I mean, I remember busloads of Asian parents 95 00:05:00,440 --> 00:05:03,640 Speaker 1: coming out of Irvine to get a homeless encampments away 96 00:05:03,640 --> 00:05:07,360 Speaker 1: from the schools. So there are some that are very 97 00:05:07,400 --> 00:05:09,840 Speaker 1: active in trying to clean up their community. And you're right, 98 00:05:09,880 --> 00:05:11,880 Speaker 1: that young It tends to be that younger generation, and 99 00:05:11,920 --> 00:05:14,440 Speaker 1: they're the ones that are actually very well organized trying 100 00:05:14,440 --> 00:05:16,599 Speaker 1: to get the word out into their own communities that 101 00:05:16,720 --> 00:05:19,360 Speaker 1: these problems exist. So maybe some of the older people 102 00:05:19,440 --> 00:05:21,680 Speaker 1: are the fathers or I should say the parents and 103 00:05:21,720 --> 00:05:25,960 Speaker 1: grandparents are the ones that are are reticent. They're the 104 00:05:26,000 --> 00:05:28,120 Speaker 1: ones that are are very you know, they're they just 105 00:05:28,279 --> 00:05:30,000 Speaker 1: really just want to cause any trouble. They don't want 106 00:05:30,000 --> 00:05:32,760 Speaker 1: to make any waves. And even Tim Murakami, who's the 107 00:05:32,839 --> 00:05:36,400 Speaker 1: under Sheriff of Los Angeles County, he talks about his 108 00:05:36,560 --> 00:05:38,560 Speaker 1: days in a Japanese in tournament camp when he was 109 00:05:38,600 --> 00:05:41,360 Speaker 1: a kid, and you know, his time or his parents 110 00:05:41,440 --> 00:05:43,479 Speaker 1: rather and then the times that you know he was 111 00:05:44,279 --> 00:05:47,080 Speaker 1: you know, had to go through periods of racism, and 112 00:05:47,120 --> 00:05:49,359 Speaker 1: he comes back out and he's trying to encourage the 113 00:05:49,440 --> 00:05:53,320 Speaker 1: people his age and the his you know, the grandparents 114 00:05:53,360 --> 00:05:57,400 Speaker 1: before him, to please forget those old ways and just 115 00:05:57,520 --> 00:05:59,360 Speaker 1: start being a part of the community. I guess the 116 00:05:59,400 --> 00:06:02,080 Speaker 1: bad guys know this, huh Yeah, they know you're not 117 00:06:02,160 --> 00:06:04,960 Speaker 1: going to report the crime. Who's not going to testify 118 00:06:05,000 --> 00:06:08,359 Speaker 1: against them? Here's the double edged sword, John. So there's 119 00:06:08,360 --> 00:06:11,000 Speaker 1: big press conferences all the time about this, and you've 120 00:06:11,040 --> 00:06:14,560 Speaker 1: got Tim Murakami, and you know, he's trying to convince 121 00:06:14,640 --> 00:06:18,080 Speaker 1: the community to come forward. And robbers are sitting there 122 00:06:18,120 --> 00:06:20,280 Speaker 1: watching this just like you and I are. And they're 123 00:06:20,279 --> 00:06:23,880 Speaker 1: sitting there going m Yeah, they don't come forward, No 124 00:06:23,880 --> 00:06:27,400 Speaker 1: one reports them, no one reports us. So they have 125 00:06:27,440 --> 00:06:29,320 Speaker 1: all this in mind. And when I was talking to 126 00:06:29,360 --> 00:06:32,680 Speaker 1: Deputy Chief Alan Hamilton at LPD about this too, he says, 127 00:06:33,080 --> 00:06:36,520 Speaker 1: these guys are smart, they're they're well organized. A lot 128 00:06:36,560 --> 00:06:39,600 Speaker 1: of these crews are coming from other places in California. 129 00:06:39,680 --> 00:06:43,520 Speaker 1: They're not all here, they're not all originating in this area. 130 00:06:43,600 --> 00:06:46,200 Speaker 1: They're coming from up north, and a lot of them 131 00:06:46,240 --> 00:06:49,960 Speaker 1: are coming from Vegas. And they're having problems with these 132 00:06:49,960 --> 00:06:53,280 Speaker 1: people come in to town because first of all, they 133 00:06:53,320 --> 00:06:56,760 Speaker 1: caught word that no one prosecutes anything like that, those 134 00:06:56,880 --> 00:07:01,760 Speaker 1: these low level offenses. Great, they the words out in 135 00:07:01,880 --> 00:07:05,400 Speaker 1: other cities, and they drive here just to do their crimes. Sure, 136 00:07:05,839 --> 00:07:07,800 Speaker 1: because there's not going to be any bail, there's not 137 00:07:07,839 --> 00:07:11,680 Speaker 1: going to be any severe prosecution misdemeanors. And and a 138 00:07:11,720 --> 00:07:14,239 Speaker 1: lot of these couples are these older couples, and these 139 00:07:14,280 --> 00:07:18,520 Speaker 1: older communities don't have cameras, they don't have surveillance. They 140 00:07:18,920 --> 00:07:21,000 Speaker 1: they've never known to need one of those. Because when 141 00:07:21,040 --> 00:07:23,040 Speaker 1: I was talking to the detective today, Richard Lewis had 142 00:07:23,080 --> 00:07:25,760 Speaker 1: at the Sheriff's Department, UM he said, so what can 143 00:07:25,800 --> 00:07:27,840 Speaker 1: these people do. And he said, just buy a camera. 144 00:07:27,920 --> 00:07:30,440 Speaker 1: He said, they're so cheap now they really are. You 145 00:07:30,560 --> 00:07:32,880 Speaker 1: going to Amazon and you've got you've got all of 146 00:07:32,880 --> 00:07:35,360 Speaker 1: these ring cameras and of these other cameras are so cheap. 147 00:07:35,640 --> 00:07:38,040 Speaker 1: He just said, have some sort of camera. Have these 148 00:07:38,280 --> 00:07:41,520 Speaker 1: um self illuminating lights on your on your porch or 149 00:07:41,560 --> 00:07:44,840 Speaker 1: on your sidewalks, so there's some you have welded areas, 150 00:07:44,600 --> 00:07:47,000 Speaker 1: He said, just spend a couple of bucks on beef 151 00:07:47,000 --> 00:07:48,880 Speaker 1: and up your security. You'd be amazed at what a 152 00:07:48,880 --> 00:07:52,960 Speaker 1: difference it makes. Do these guys just say, stay parked 153 00:07:53,400 --> 00:07:56,400 Speaker 1: in front of your house. Some do and just watch 154 00:07:56,440 --> 00:07:58,520 Speaker 1: you leave and wait for you to come back. This 155 00:07:58,760 --> 00:08:00,840 Speaker 1: watch you leave and then burst into the house. Yeah, 156 00:08:01,560 --> 00:08:04,080 Speaker 1: it happens a couple different ways. And this takes me 157 00:08:04,080 --> 00:08:06,760 Speaker 1: back to when we were covering the knock knock burglaries, 158 00:08:07,200 --> 00:08:10,720 Speaker 1: where you've got these these crews. Now that gotten smart. 159 00:08:11,000 --> 00:08:13,200 Speaker 1: They don't show up and beat up old cars anymore. 160 00:08:13,600 --> 00:08:16,040 Speaker 1: They rent Mercedes and Beamers and they get them or 161 00:08:16,040 --> 00:08:18,320 Speaker 1: they steal them, and they show up in these higher 162 00:08:18,400 --> 00:08:21,400 Speaker 1: end neighborhoods in these really nice cars. They put on 163 00:08:21,480 --> 00:08:24,280 Speaker 1: decent clothes and they look like they belong in the neighborhoods, 164 00:08:24,280 --> 00:08:27,480 Speaker 1: so no one's tipped off, and they walk up and knock, 165 00:08:27,480 --> 00:08:29,000 Speaker 1: and when no one answers, and then when they go 166 00:08:29,040 --> 00:08:31,520 Speaker 1: around the back and break in. So that so using 167 00:08:31,560 --> 00:08:34,320 Speaker 1: that model, what they do is they blend into the 168 00:08:34,320 --> 00:08:36,680 Speaker 1: neighborhoods and they know what to look for and what 169 00:08:36,760 --> 00:08:38,880 Speaker 1: to watch for, and they'll walk and you know, they 170 00:08:38,920 --> 00:08:42,560 Speaker 1: know demographically where the older neighborhoods, where the money's at, 171 00:08:42,840 --> 00:08:45,240 Speaker 1: and they'll go and they'll camp out, or they'll hire 172 00:08:45,360 --> 00:08:48,680 Speaker 1: some low, low level people to just walk around the 173 00:08:48,679 --> 00:08:51,959 Speaker 1: block and take notes. I mean, they're very they're very 174 00:08:51,960 --> 00:08:56,920 Speaker 1: smart this way, right, it's pretty frightening. It is frightening. 175 00:08:56,960 --> 00:08:59,360 Speaker 1: And because what frightens me is they're coming from out 176 00:08:59,360 --> 00:09:02,960 Speaker 1: of town. Now, they're organized, and they know exactly who 177 00:09:02,960 --> 00:09:06,559 Speaker 1: they're victim. They do a profile demographic profile the victims. 178 00:09:07,160 --> 00:09:09,200 Speaker 1: And I'll leave you with this. And I don't remember 179 00:09:09,240 --> 00:09:10,559 Speaker 1: I don't know if you know, if you remember the 180 00:09:10,559 --> 00:09:13,400 Speaker 1: story here in Burbank, there was that old couple, that 181 00:09:13,520 --> 00:09:17,200 Speaker 1: older couple that was a couple of guys broke in 182 00:09:17,320 --> 00:09:19,880 Speaker 1: and pistol whipped the guy and they set him down 183 00:09:19,880 --> 00:09:22,760 Speaker 1: on the couch and they tied him up and everything, 184 00:09:22,800 --> 00:09:24,640 Speaker 1: and then they left and they were able to get free, 185 00:09:25,120 --> 00:09:27,560 Speaker 1: and he ended up being an animator with Disney back 186 00:09:27,559 --> 00:09:29,960 Speaker 1: in the day, and he ended up drawing and sketching. 187 00:09:30,280 --> 00:09:32,720 Speaker 1: Oh oh no, I remember that's the faces of the 188 00:09:32,760 --> 00:09:35,400 Speaker 1: two guys. Really turned it over to Burbank PD with 189 00:09:35,440 --> 00:09:38,480 Speaker 1: a perfect sketch of both men in a perfectly done 190 00:09:38,520 --> 00:09:41,480 Speaker 1: animation sketch, and that's what they released and they were 191 00:09:41,520 --> 00:09:45,560 Speaker 1: able to get them within a few weeks. That's just 192 00:09:45,600 --> 00:09:47,600 Speaker 1: the worst luck for the bad I know, right, And 193 00:09:47,720 --> 00:09:50,520 Speaker 1: no ring camera needed. He's just an animator. That's perfect, 194 00:09:50,720 --> 00:09:53,120 Speaker 1: all right, Steve, thanks you got or coming up? Johnny 195 00:09:53,160 --> 00:09:56,480 Speaker 1: ken Shub. You're getting this uh new booster that's coming out, 196 00:09:57,240 --> 00:10:02,200 Speaker 1: am I? Yeah? Oh yeah, yeah, I think so. Why um, well, 197 00:10:02,240 --> 00:10:05,439 Speaker 1: they're going to be releasing it and all the testing 198 00:10:05,440 --> 00:10:08,480 Speaker 1: they've done so far has been on mice, no humans. 199 00:10:09,000 --> 00:10:12,520 Speaker 1: Oh maybe I'll wait a little bit. Are you going 200 00:10:12,600 --> 00:10:18,200 Speaker 1: to get it? Not until they do humans? Yeah, this 201 00:10:18,720 --> 00:10:23,520 Speaker 1: would be a good booster to have. Maybe, I don't know. Well, 202 00:10:23,520 --> 00:10:26,679 Speaker 1: I mean, because you know, we have all these new 203 00:10:26,920 --> 00:10:30,440 Speaker 1: variants that apparently the other booster is not doing a 204 00:10:30,480 --> 00:10:33,920 Speaker 1: great job of. So no, I'm assuming this will take 205 00:10:33,960 --> 00:10:37,840 Speaker 1: care of the current variants, but then they'll probably be 206 00:10:37,880 --> 00:10:39,760 Speaker 1: new variants. Oh, I'm sure this is going to go 207 00:10:39,800 --> 00:10:41,920 Speaker 1: on forever. John. So if we're always going to be 208 00:10:42,000 --> 00:10:44,880 Speaker 1: a year behind the variants, I don't know what the 209 00:10:44,920 --> 00:10:50,120 Speaker 1: point is. But usually the FDA gets a lot of 210 00:10:50,120 --> 00:10:54,760 Speaker 1: criticism and the CDC for being too slow. They were 211 00:10:54,880 --> 00:10:58,240 Speaker 1: very slow in the first year on all fronts and 212 00:10:58,360 --> 00:11:02,439 Speaker 1: getting a testing approved, moved to determine whether you had 213 00:11:02,480 --> 00:11:09,120 Speaker 1: the virus, and there's and generally the FDA is very, 214 00:11:09,240 --> 00:11:11,920 Speaker 1: very slow. It takes years and years to improve certain drugs. 215 00:11:13,320 --> 00:11:15,640 Speaker 1: But now they've decided apparently they're just going to go 216 00:11:15,720 --> 00:11:20,040 Speaker 1: for it, And I was really surprised. I mean, in 217 00:11:20,080 --> 00:11:23,239 Speaker 1: the Wall Street Journal it said they're going to authorize 218 00:11:23,559 --> 00:11:28,160 Speaker 1: the new booster shots this week without any data from 219 00:11:28,200 --> 00:11:32,440 Speaker 1: whether the shots were safe and worked in humans. Oh, 220 00:11:33,800 --> 00:11:35,800 Speaker 1: how many people they think are going to take something 221 00:11:36,240 --> 00:11:38,760 Speaker 1: once you once you read that line. They don't know 222 00:11:38,800 --> 00:11:41,760 Speaker 1: whether the shots are safe and whether they work in humans. 223 00:11:43,320 --> 00:11:45,079 Speaker 1: I don't think we're going to have a lot of people. 224 00:11:45,880 --> 00:11:47,720 Speaker 1: The mice are going to be lined up for this, 225 00:11:48,720 --> 00:11:54,320 Speaker 1: they have a choice. But of course, and you get 226 00:11:54,320 --> 00:11:57,079 Speaker 1: the usual double speak. Real world evidence from the current 227 00:11:57,160 --> 00:12:01,360 Speaker 1: vaccines show us the vaccines are safe, but they're doing 228 00:12:01,400 --> 00:12:04,760 Speaker 1: the tweaking to deal with to deal with the new versions. 229 00:12:07,840 --> 00:12:12,079 Speaker 1: They say they do this with the flu shots because 230 00:12:12,120 --> 00:12:15,120 Speaker 1: the flu shots mutate every year, and we know that 231 00:12:15,160 --> 00:12:19,160 Speaker 1: the flu shots are only what thirty percent effective? Yeah, 232 00:12:19,360 --> 00:12:22,480 Speaker 1: sometimes even worse than that. Yeah, very rarely do they 233 00:12:22,480 --> 00:12:24,760 Speaker 1: get above a fifty percent effectiveness. I think one year, 234 00:12:24,800 --> 00:12:28,160 Speaker 1: I remember it was fifteen percent. I mean, I still 235 00:12:28,240 --> 00:12:32,280 Speaker 1: get that every year. Though you're a vaccine junkie, I am. 236 00:12:32,800 --> 00:12:38,840 Speaker 1: I can't get enough. And there's one FDA official I 237 00:12:38,880 --> 00:12:40,920 Speaker 1: don't know. This quote just cracked me up. His name 238 00:12:40,960 --> 00:12:44,360 Speaker 1: is Paul Often, and he says, I'm uncomfortable that we 239 00:12:44,400 --> 00:12:47,200 Speaker 1: would move forward, that we would give millions or tens 240 00:12:47,240 --> 00:12:51,640 Speaker 1: of millions of doses to people based on mouse data. 241 00:12:52,480 --> 00:12:58,800 Speaker 1: Mouse data, so Fiser and Maderna would be updating their 242 00:12:58,800 --> 00:13:05,200 Speaker 1: shots for BA dot five and BA dot four, and 243 00:13:05,480 --> 00:13:08,679 Speaker 1: Fiser says, we validated the process several times over, and 244 00:13:08,800 --> 00:13:11,880 Speaker 1: we produce safe and effective vaccines against COVID nineteen blah 245 00:13:11,920 --> 00:13:17,040 Speaker 1: blah blah, and uh, let me see here. They they 246 00:13:18,480 --> 00:13:21,840 Speaker 1: say that these shots are like keys that are nearly 247 00:13:21,880 --> 00:13:27,400 Speaker 1: identical but have slightly different ridges and valleys, and the 248 00:13:27,520 --> 00:13:31,480 Speaker 1: similarities make it reasonable for regulators to weigh the safe 249 00:13:31,480 --> 00:13:34,920 Speaker 1: track record of the original shots when considering the new ones. 250 00:13:35,760 --> 00:13:39,760 Speaker 1: I don't know, I mean, can't they do one hundred people? Well, 251 00:13:39,800 --> 00:13:42,640 Speaker 1: why don't you sign up for it? No? I don't. 252 00:13:42,640 --> 00:13:48,440 Speaker 1: I didn't do science experiments. Would you know? You're you're 253 00:13:48,480 --> 00:13:50,640 Speaker 1: way way more hyper about this stuff than I am. Yeah, 254 00:13:50,640 --> 00:13:51,920 Speaker 1: I am, But no, I'm not going to be a 255 00:13:51,960 --> 00:13:54,280 Speaker 1: guinea pig. You walked around the hazmat suit, aren't here. 256 00:13:54,880 --> 00:13:59,920 Speaker 1: Let's not get hysterical here, bar um. I mean, I 257 00:14:00,160 --> 00:14:02,320 Speaker 1: just I had I had never seen a single drug 258 00:14:02,400 --> 00:14:08,240 Speaker 1: that was not tested on people before and that they 259 00:14:08,240 --> 00:14:13,520 Speaker 1: were willing to. Now, where's the where's the monkey pox story? Now? 260 00:14:13,559 --> 00:14:16,199 Speaker 1: This thing, this thing you want to make get a 261 00:14:16,280 --> 00:14:20,040 Speaker 1: vaccine for it. I'm not suggesting you're engaging in this 262 00:14:20,240 --> 00:14:23,160 Speaker 1: kind of behavior, but yeah, I don't At this point, 263 00:14:23,200 --> 00:14:29,280 Speaker 1: I'm not thinking about getting that vaccine. All right, this 264 00:14:29,360 --> 00:14:33,040 Speaker 1: is what's happening to people who get monkey pocks. First 265 00:14:33,080 --> 00:14:35,920 Speaker 1: of all, the monkey pocks causes intense pain, and I'll 266 00:14:35,920 --> 00:14:40,160 Speaker 1: explain that in a moment. But it's the psychological scars. 267 00:14:40,320 --> 00:14:46,200 Speaker 1: They're just as devastating because you end up with all 268 00:14:46,240 --> 00:14:51,000 Speaker 1: these weird sores and lesions all over your body. And 269 00:14:51,960 --> 00:14:54,120 Speaker 1: there these people are afraid they're gonna be left with 270 00:14:54,200 --> 00:14:58,960 Speaker 1: long lasting scars. And even if the pox is the pox, 271 00:14:59,040 --> 00:15:03,280 Speaker 1: heel that these psychological scars because they live terrified for 272 00:15:03,400 --> 00:15:07,640 Speaker 1: weeks and weeks that these pox lesions weren't going to 273 00:15:07,720 --> 00:15:13,880 Speaker 1: go away. And this is the horrible part, according to 274 00:15:14,080 --> 00:15:18,040 Speaker 1: one of the doctors. And he's got a complicated name here, 275 00:15:21,560 --> 00:15:28,840 Speaker 1: Nathan Nathan Pipher Smadja. He's an infectious disease expert at 276 00:15:28,840 --> 00:15:32,240 Speaker 1: this hospital in Paris. Says a small number of patients 277 00:15:32,280 --> 00:15:40,320 Speaker 1: can develop internal lesions, particularly inside the anus, which can 278 00:15:40,360 --> 00:15:47,880 Speaker 1: become extremely painful. And one guy named what's his name, 279 00:15:47,960 --> 00:15:55,680 Speaker 1: Hennibert Cornton, Hennibert, he got this, He got the lesions 280 00:15:55,720 --> 00:15:59,000 Speaker 1: in the anus, and he said, I constantly had the 281 00:15:59,000 --> 00:16:02,640 Speaker 1: impression that razor blades were being thrust into me. I 282 00:16:02,720 --> 00:16:05,720 Speaker 1: can't think of any other comparison. The pain was so strong, 283 00:16:07,520 --> 00:16:10,200 Speaker 1: you know what, I would be permanently changing my life choices. 284 00:16:11,320 --> 00:16:15,240 Speaker 1: You know, I cannot believe because we heard stuff like 285 00:16:15,280 --> 00:16:19,320 Speaker 1: this in the first weeks, and why you don't just 286 00:16:19,480 --> 00:16:22,160 Speaker 1: board yourself up in your bedroom and wait for this 287 00:16:22,240 --> 00:16:27,480 Speaker 1: to pass. He lost fifteen pounds in three days because 288 00:16:27,480 --> 00:16:30,680 Speaker 1: he was not eating because the pain was so terrible. 289 00:16:30,720 --> 00:16:33,960 Speaker 1: All I could think about was the pain. You can 290 00:16:34,040 --> 00:16:36,640 Speaker 1: lose fifteen pounds and three days. Yes, I guess you 291 00:16:36,680 --> 00:16:39,000 Speaker 1: can if you have a lot of extra weight that 292 00:16:39,040 --> 00:16:41,960 Speaker 1: you need to lose and you're not eating anything. Wow, 293 00:16:42,760 --> 00:16:45,560 Speaker 1: Why you No, I didn't think I'm doing that. No, 294 00:16:45,640 --> 00:16:47,680 Speaker 1: I didn't think it was possible to lose that much. 295 00:16:48,040 --> 00:16:50,240 Speaker 1: I mean, I've never done it. I mean I think 296 00:16:50,240 --> 00:16:52,800 Speaker 1: you would have to have a lot of extra fat 297 00:16:53,520 --> 00:16:56,160 Speaker 1: to lose that kind of weight with you, they would 298 00:16:56,160 --> 00:16:59,880 Speaker 1: have to remove bones. He lose fifteen pounds, you'd be 299 00:17:00,040 --> 00:17:07,000 Speaker 1: him invisible. Yeah. Another person, Sebastian Teller, became very anxious 300 00:17:07,000 --> 00:17:09,879 Speaker 1: when Monkeypox's legions began to appear on his face. It 301 00:17:09,920 --> 00:17:11,520 Speaker 1: was really ugly and I didn't know what to do, 302 00:17:13,040 --> 00:17:15,480 Speaker 1: because you know, if when the disease becomes visible on 303 00:17:15,520 --> 00:17:18,400 Speaker 1: your face, then you know you're going to be stigmatized, 304 00:17:18,960 --> 00:17:23,520 Speaker 1: that nobody's going to want to come near you. And 305 00:17:25,160 --> 00:17:28,560 Speaker 1: this reminds a lot of these people are traumatized about 306 00:17:29,960 --> 00:17:34,240 Speaker 1: HIV because people used to get something called pos sarcoma, 307 00:17:34,320 --> 00:17:37,560 Speaker 1: which was these purple lesions on the face, and that 308 00:17:37,680 --> 00:17:40,000 Speaker 1: was a sign of your immune system breaking down, and 309 00:17:40,040 --> 00:17:42,959 Speaker 1: then everybody would know that you have it. You couldn't 310 00:17:43,040 --> 00:17:48,520 Speaker 1: hide it and not to mention. This exposes people's sexual 311 00:17:48,560 --> 00:17:52,679 Speaker 1: orientation in most cases because ninety eight percent of the 312 00:17:52,680 --> 00:17:57,120 Speaker 1: people are our man who are having we're having sex 313 00:17:57,119 --> 00:18:02,000 Speaker 1: with other men. So once you get the monkey pox 314 00:18:02,080 --> 00:18:04,200 Speaker 1: on your face, then the whole world knows. In case 315 00:18:04,240 --> 00:18:08,879 Speaker 1: you were trying to hide it, I think you'd take 316 00:18:08,920 --> 00:18:12,280 Speaker 1: a break for a while. You think by now everybody, 317 00:18:12,640 --> 00:18:14,639 Speaker 1: I think you read this article. I would think you 318 00:18:14,720 --> 00:18:19,600 Speaker 1: definitely would cool it for five minutes. Johnny Kenchok five 319 00:18:19,720 --> 00:18:21,720 Speaker 1: be prepared this week. By the way, there's gonna be 320 00:18:21,760 --> 00:18:25,160 Speaker 1: it's gonna be really, really hot for most of the area, 321 00:18:25,280 --> 00:18:27,840 Speaker 1: even along the beaches. I think Santa Monica is still 322 00:18:27,880 --> 00:18:29,959 Speaker 1: going to be up around eighty five degrees, which is 323 00:18:30,080 --> 00:18:33,240 Speaker 1: very hot there. Uh, And it's gonna be one hundred 324 00:18:33,280 --> 00:18:36,720 Speaker 1: and ten in places like Woodland. Yes, I need to 325 00:18:36,760 --> 00:18:39,400 Speaker 1: go to a cooling center. Is there a cooling center 326 00:18:39,440 --> 00:18:42,160 Speaker 1: in Woodland Hills? I don't know, for the for the elderly, 327 00:18:42,240 --> 00:18:45,080 Speaker 1: you can sit amongst them and yeah, maybe I'll have 328 00:18:45,119 --> 00:18:46,520 Speaker 1: to go check it out. I'll have to go do 329 00:18:46,560 --> 00:18:49,040 Speaker 1: a live report, John, just for you with a blanket 330 00:18:49,040 --> 00:18:52,119 Speaker 1: and a shawl and try to warm it. Um. Now 331 00:18:53,400 --> 00:18:56,199 Speaker 1: you're so, you're gonna hear a lot about climate change, right. 332 00:18:56,240 --> 00:19:01,000 Speaker 1: This is going to allow all the the obsessives to 333 00:19:01,359 --> 00:19:04,280 Speaker 1: climb on their soap boxes and start lecturing all of us. 334 00:19:05,760 --> 00:19:09,200 Speaker 1: And the La Times ran a curious story today because 335 00:19:10,080 --> 00:19:13,720 Speaker 1: they admitted that because of all the fires we've had 336 00:19:13,720 --> 00:19:19,720 Speaker 1: in California, that all these climate laws that Newsome and 337 00:19:19,800 --> 00:19:22,879 Speaker 1: Jerry Brown have pushed over the years really are getting 338 00:19:22,920 --> 00:19:27,720 Speaker 1: negated entirely. There's really going to be no benefit from 339 00:19:27,840 --> 00:19:31,120 Speaker 1: all of us. Oh eventually, you know, we can't drive 340 00:19:31,160 --> 00:19:34,440 Speaker 1: gas powered cars anymore, and we're being told we can't 341 00:19:34,520 --> 00:19:38,120 Speaker 1: use power because they're short on power, and they're short 342 00:19:38,200 --> 00:19:42,080 Speaker 1: on power because the wind and solar don't work that well. 343 00:19:42,440 --> 00:19:46,359 Speaker 1: All the taxes on gas, I mean, that's that's the 344 00:19:46,440 --> 00:19:48,440 Speaker 1: main reason why the gas is a buck fifty more 345 00:19:48,440 --> 00:19:51,960 Speaker 1: than any other state. All the taxes on the factories 346 00:19:52,000 --> 00:19:55,200 Speaker 1: and the factories they've driven at all. This is because 347 00:19:55,240 --> 00:20:00,240 Speaker 1: they're pilot their cocka maybe climate policy. Well now they're 348 00:20:00,240 --> 00:20:03,520 Speaker 1: admitting that, okay, we've had somebody forest fires, that the 349 00:20:03,560 --> 00:20:08,600 Speaker 1: climate policy has been negated, and they have a story 350 00:20:08,640 --> 00:20:15,760 Speaker 1: today that suddenly another huge reversal. The California Resources Board 351 00:20:16,160 --> 00:20:19,199 Speaker 1: is asking the state and federal authorities to increase the 352 00:20:19,359 --> 00:20:24,119 Speaker 1: thinning and the treatment of forests that are dangerously overgrown 353 00:20:24,400 --> 00:20:29,040 Speaker 1: with flammable vegetation. Now this is rich. I can't tell 354 00:20:29,080 --> 00:20:33,359 Speaker 1: you how funny this is, because for decades the environmentalist 355 00:20:33,440 --> 00:20:37,600 Speaker 1: groups have insisted that you cannot touch anything in a forest, 356 00:20:37,680 --> 00:20:41,800 Speaker 1: no matter what. The Native Americans, as you may have heard, 357 00:20:42,280 --> 00:20:47,959 Speaker 1: had brilliant forestry policies. They did controlled burns, they cleared 358 00:20:48,000 --> 00:20:53,600 Speaker 1: areas of vegetation, They thinned forests occasionally in order to 359 00:20:53,680 --> 00:20:58,640 Speaker 1: keep them from getting overgrown. When they're overgrown, they compete 360 00:20:58,640 --> 00:21:03,359 Speaker 1: for limited resources water. The trees dry out and they 361 00:21:03,400 --> 00:21:07,439 Speaker 1: burn easily, and they're crowded together, so the fire jumps quickly. 362 00:21:07,720 --> 00:21:11,720 Speaker 1: The vegetation gets overgrown. That adds fuel, literally adds fuel 363 00:21:11,760 --> 00:21:16,399 Speaker 1: to the fire. And these practices have been wrong and 364 00:21:16,680 --> 00:21:22,479 Speaker 1: bad going back a hundred years. But because the environmentalists 365 00:21:22,480 --> 00:21:26,320 Speaker 1: paid so much money to politicians and had so much power, 366 00:21:26,960 --> 00:21:32,960 Speaker 1: bamboozled the media, they got their way, and at large 367 00:21:32,960 --> 00:21:37,399 Speaker 1: part that's why we've had such terrible fires. That and 368 00:21:37,520 --> 00:21:43,040 Speaker 1: the idiot unregulated energy companies who haven't maintained their equipment 369 00:21:43,640 --> 00:21:46,200 Speaker 1: in some cases for a hundred years. So you have 370 00:21:46,240 --> 00:21:50,680 Speaker 1: a hundred years of bad forestry management, and you have 371 00:21:50,720 --> 00:21:56,919 Speaker 1: a hundred ears of bad maintenance on our energy infrastructure. 372 00:21:58,200 --> 00:22:02,000 Speaker 1: So now you get these mass of fires ignited often 373 00:22:03,000 --> 00:22:07,320 Speaker 1: by the energy companies with downed power lines and broken 374 00:22:07,359 --> 00:22:13,359 Speaker 1: connections and malfunctioning equipment. And then the fires get exacerbated 375 00:22:14,320 --> 00:22:17,640 Speaker 1: because the forest hadn't been trimmed properly in a long time. 376 00:22:19,560 --> 00:22:25,520 Speaker 1: And it says like they focus on the damage potentially 377 00:22:25,520 --> 00:22:31,040 Speaker 1: to the Sequoias, and a portion of Sequoia National Park 378 00:22:31,960 --> 00:22:35,520 Speaker 1: had not burned in one hundred and thirty two years. 379 00:22:37,400 --> 00:22:42,040 Speaker 1: The flames climbed more than one hundred feet high into 380 00:22:42,080 --> 00:22:46,919 Speaker 1: the Sequoia canopies and seventy five hundred to ten thousand 381 00:22:47,000 --> 00:22:55,000 Speaker 1: trees were destroyed, and according to one of the experts, 382 00:22:56,480 --> 00:23:01,160 Speaker 1: the Sequoias prefer frequent fire every ten to twenty years 383 00:23:01,200 --> 00:23:04,280 Speaker 1: that burns through it reduces the litter on the ground, 384 00:23:04,480 --> 00:23:10,000 Speaker 1: you know, the overgrowth. But in the board camp Fires 385 00:23:10,040 --> 00:23:15,400 Speaker 1: Acquire National Park, they had no recorded fire history. They 386 00:23:15,440 --> 00:23:17,080 Speaker 1: think it was one hundred and thirty two years since 387 00:23:17,119 --> 00:23:20,359 Speaker 1: the last fire. And that's because of us, he says, 388 00:23:20,400 --> 00:23:24,200 Speaker 1: because we suppressed quite a few lightning strikes that would 389 00:23:24,200 --> 00:23:26,840 Speaker 1: have potentially burned through the grove in the past hundred years. 390 00:23:28,359 --> 00:23:31,199 Speaker 1: So when the Castle fire burned into it in twenty twenty, 391 00:23:31,560 --> 00:23:35,280 Speaker 1: there was too much fuel on a steep slope and 392 00:23:35,400 --> 00:23:44,640 Speaker 1: it burned incredibly hot. So they're supposed to they're supposed 393 00:23:44,680 --> 00:23:53,080 Speaker 1: to do forest work on two point three million acres 394 00:23:53,080 --> 00:23:57,920 Speaker 1: every year here in California, federal and state two point 395 00:23:58,000 --> 00:24:03,160 Speaker 1: three and that might reduce the fires by about ten percent. 396 00:24:05,320 --> 00:24:08,360 Speaker 1: But we're only doing two hundred and fifty thousand a year, 397 00:24:10,280 --> 00:24:12,479 Speaker 1: so we're doing ten percent of what we need to. 398 00:24:15,240 --> 00:24:18,239 Speaker 1: So the emissions from these fires are going to be 399 00:24:19,240 --> 00:24:25,000 Speaker 1: not reduced at all, really, and it's all because there 400 00:24:25,080 --> 00:24:29,800 Speaker 1: was a bad idea that was created by silly, silly 401 00:24:30,000 --> 00:24:33,919 Speaker 1: people in the environmental movement that everybody stuck to for 402 00:24:33,880 --> 00:24:35,480 Speaker 1: one hundred years. When I tell you how much I 403 00:24:35,520 --> 00:24:38,920 Speaker 1: distrusted experts, I distrusted them because I think many of 404 00:24:38,960 --> 00:24:40,879 Speaker 1: them don't know what they're talking about. They're just wrong, 405 00:24:41,520 --> 00:24:46,040 Speaker 1: or they're compromised by money. I think these environmental groups 406 00:24:46,040 --> 00:24:49,360 Speaker 1: made a lot of money because they got donations from 407 00:24:49,400 --> 00:24:53,080 Speaker 1: people who were moved by campaigns to save the forest, 408 00:24:54,240 --> 00:24:59,919 Speaker 1: stop the controlled burns, stop the chopping down trees, stop 409 00:25:00,080 --> 00:25:04,120 Speaker 1: the timber industry, and the Native Americans who are trying 410 00:25:04,160 --> 00:25:05,719 Speaker 1: to tell them for a hundred years like no, no, no, 411 00:25:05,760 --> 00:25:13,080 Speaker 1: this system works. You're wrong. Wouldn't listen, and they were wrong, 412 00:25:14,600 --> 00:25:17,119 Speaker 1: and it's led to these fires that you notice how 413 00:25:17,160 --> 00:25:20,520 Speaker 1: they all do a pivot instead of addressing a hundred 414 00:25:20,560 --> 00:25:24,040 Speaker 1: years worth of mistakes. They say, wow, that's it's it's 415 00:25:24,119 --> 00:25:26,600 Speaker 1: a climate change. You have to give up your car, 416 00:25:28,000 --> 00:25:29,640 Speaker 1: Maybe have to give up my car. Yeah, you gotta 417 00:25:29,640 --> 00:25:32,440 Speaker 1: pay more taxes, Maybe have to pay more taxes. No, 418 00:25:32,520 --> 00:25:35,480 Speaker 1: this is your stupid idea. But it's climate now, it's 419 00:25:35,520 --> 00:25:40,639 Speaker 1: climate change. So they've let levy these enormous taxes on 420 00:25:40,680 --> 00:25:45,760 Speaker 1: our heads and have tried to restrict are driving movements. 421 00:25:47,000 --> 00:25:50,040 Speaker 1: And you hear climate change out of their mouths, their 422 00:25:50,160 --> 00:25:55,000 Speaker 1: oral holes, like every every five minutes. And it turns 423 00:25:55,000 --> 00:25:59,680 Speaker 1: out the fires that they create annually completely negate all 424 00:26:00,240 --> 00:26:05,480 Speaker 1: the climate change, All the climate change policies that they've installed, 425 00:26:06,440 --> 00:26:12,520 Speaker 1: whatever minimal amount of carbon dioxide that they have saved 426 00:26:13,640 --> 00:26:16,760 Speaker 1: from being spewed into the atmosphere has been overwhelmed by 427 00:26:16,760 --> 00:26:20,560 Speaker 1: the massive carbon dioxide that entered the atmosphere from all 428 00:26:20,560 --> 00:26:24,000 Speaker 1: these burns. So what you have here is a continuation 429 00:26:24,840 --> 00:26:28,399 Speaker 1: of bad policies by people who either don't know what 430 00:26:28,440 --> 00:26:32,520 Speaker 1: they're doing, they're just stupid when it comes to their 431 00:26:32,640 --> 00:26:35,639 Speaker 1: field of expertise, or they're just in it for the 432 00:26:35,680 --> 00:26:38,560 Speaker 1: money they can use all this. You know, they've got 433 00:26:38,560 --> 00:26:41,919 Speaker 1: new scare stories. Are forests are burning because the climate change, 434 00:26:42,080 --> 00:26:44,280 Speaker 1: heat waves because the climate change. You give us money, 435 00:26:44,640 --> 00:26:48,720 Speaker 1: same crowd that was telling you to give them money 436 00:26:48,760 --> 00:26:53,240 Speaker 1: so they'll keep the forest from being cut down. But 437 00:26:53,480 --> 00:26:56,679 Speaker 1: it is a racket. It is a scam, and it's dangerous. 438 00:26:57,280 --> 00:27:00,320 Speaker 1: It's caused a lot of damage because their motive eated 439 00:27:00,359 --> 00:27:03,600 Speaker 1: by power. They're motivated by greed to keep their organizations running. 440 00:27:03,720 --> 00:27:06,760 Speaker 1: They're not motivated by science. They use the word science 441 00:27:06,800 --> 00:27:10,480 Speaker 1: as a shield to cover up their own ignorance and incompetence. 442 00:27:12,000 --> 00:27:13,879 Speaker 1: And it's just it's just a shame because a lot 443 00:27:13,920 --> 00:27:16,320 Speaker 1: of the stuff that's been burning in California. Shouldn't have burned. 444 00:27:16,720 --> 00:27:19,760 Speaker 1: A lot of this never had to happen. But you know, hey, 445 00:27:20,119 --> 00:27:22,879 Speaker 1: people get emotionally manipulated. They send their money and they 446 00:27:23,000 --> 00:27:25,520 Speaker 1: listen to experts, and then you sometimes takes one hundred 447 00:27:25,560 --> 00:27:27,200 Speaker 1: years to find out that they were full of crap. 448 00:27:27,720 --> 00:27:30,159 Speaker 1: Johnny can campfind coming up after four o'clock, We're going 449 00:27:30,240 --> 00:27:34,760 Speaker 1: to talk to somebody who's and with the victims' rights 450 00:27:34,800 --> 00:27:39,720 Speaker 1: groups because they're trying to stop the zero bail law 451 00:27:40,240 --> 00:27:47,720 Speaker 1: from passing again. Bob Hertzberg, who you if you live 452 00:27:48,640 --> 00:27:52,240 Speaker 1: on the West side of Los Angeles. It's a sprawling district, 453 00:27:52,240 --> 00:27:53,800 Speaker 1: goes way beyond the West Side, but I don't have 454 00:27:53,840 --> 00:27:56,560 Speaker 1: the parameters in front of me. He's running to replace 455 00:27:56,560 --> 00:28:00,280 Speaker 1: Sheila cull who one of the most horrendous politicians in 456 00:28:00,440 --> 00:28:05,280 Speaker 1: LA history, Shellakul. But she's eighty now, she's I guess 457 00:28:05,280 --> 00:28:09,639 Speaker 1: she's termed out and Hertzberg wants to replace her. And 458 00:28:09,680 --> 00:28:14,280 Speaker 1: he's running against that woman from West Hollywood, and she's 459 00:28:14,280 --> 00:28:20,040 Speaker 1: a radical too, but she knows she's radical, and she 460 00:28:20,119 --> 00:28:23,960 Speaker 1: has erased her West Hollywood public service history from her 461 00:28:23,960 --> 00:28:28,640 Speaker 1: resume because she knows West Hollywood would be a trigger, 462 00:28:29,200 --> 00:28:33,520 Speaker 1: a trigger phrase for voters if they see it. So 463 00:28:33,760 --> 00:28:37,480 Speaker 1: Hertzberg is running and he's been a lifelong blowhard bully 464 00:28:38,480 --> 00:28:42,480 Speaker 1: and he's been pushing this zero bail nonsense for quite 465 00:28:42,520 --> 00:28:48,960 Speaker 1: some time, and as you may have heard, he tried 466 00:28:49,000 --> 00:28:53,400 Speaker 1: to get it passed last year and then some goon 467 00:28:53,680 --> 00:28:58,000 Speaker 1: in the Sacramentary area was released quickly on zero bail. 468 00:28:58,040 --> 00:29:00,760 Speaker 1: He'd committed a crime, and he went out and he 469 00:29:01,200 --> 00:29:05,080 Speaker 1: raped and murdered a sixty one year old woman and 470 00:29:06,160 --> 00:29:11,760 Speaker 1: killed her dogs and burned her house down. And that's 471 00:29:11,760 --> 00:29:15,760 Speaker 1: what zero bail gets you, because when these guys know 472 00:29:15,800 --> 00:29:20,600 Speaker 1: there's no consequences, the crimes accelerate, and they can accelerate 473 00:29:20,800 --> 00:29:27,640 Speaker 1: quite quickly because they know, even through their drug addled minds, 474 00:29:27,680 --> 00:29:31,200 Speaker 1: they know that without consequences, anything goes, and they can 475 00:29:31,240 --> 00:29:35,720 Speaker 1: give into any impulse they have. So after the rape, 476 00:29:35,760 --> 00:29:37,880 Speaker 1: the murder, the killing of the two dogs, and the 477 00:29:37,880 --> 00:29:43,880 Speaker 1: house burning, Hertzberg withdrew the bill. And if a normal 478 00:29:43,920 --> 00:29:48,280 Speaker 1: person did that, you would like to think, Okay, he 479 00:29:48,360 --> 00:29:51,440 Speaker 1: realized that's a really bad idea, and we had a 480 00:29:51,560 --> 00:29:55,400 Speaker 1: real world, horrific tragedy to show how bad an idea 481 00:29:55,440 --> 00:29:58,000 Speaker 1: that is. Because of the guy had been held on bail, 482 00:30:00,920 --> 00:30:03,320 Speaker 1: the murder doesn't happen, the rape doesn't happen, the dogs 483 00:30:03,320 --> 00:30:06,120 Speaker 1: don't get killed, the house doesn't burn. It simply doesn't happen, 484 00:30:06,160 --> 00:30:11,000 Speaker 1: if you could roll back the tape. But he really 485 00:30:11,000 --> 00:30:13,040 Speaker 1: did get out on no bail, and he really did 486 00:30:13,080 --> 00:30:17,560 Speaker 1: all those horrific things. You think that would shame Bob Hertzberg. 487 00:30:17,640 --> 00:30:20,600 Speaker 1: You think for the rest of his life he would 488 00:30:20,640 --> 00:30:25,800 Speaker 1: repent and say, Wow, that was the idea that I wanted, 489 00:30:26,760 --> 00:30:30,120 Speaker 1: That's what I've been pushing for. And then there was 490 00:30:30,120 --> 00:30:34,000 Speaker 1: a referendum on the ballot over no bail, and the 491 00:30:34,040 --> 00:30:38,600 Speaker 1: public voted decisively. We don't want no bail, we want bail. 492 00:30:39,480 --> 00:30:43,000 Speaker 1: It was clear. And Hertzberg, you think would get the 493 00:30:43,040 --> 00:30:46,560 Speaker 1: message well. And right now he's a state senator from 494 00:30:46,960 --> 00:30:49,719 Speaker 1: the valley, from the Van Nuys area, so I mean, 495 00:30:49,760 --> 00:30:52,520 Speaker 1: he's a local guy who's been a politician for many years, 496 00:30:52,560 --> 00:30:56,560 Speaker 1: and why people keep reelecting him is just one of 497 00:30:56,600 --> 00:30:58,720 Speaker 1: the great wonders. I mean, I could say that you 498 00:30:58,720 --> 00:31:02,360 Speaker 1: know about twenty five people in La County politics, It's like, 499 00:31:02,640 --> 00:31:05,120 Speaker 1: why what are you doing? Do you know this? Maybe 500 00:31:05,160 --> 00:31:08,360 Speaker 1: you all don't know this. I'm sitting here shouting by myself. 501 00:31:08,400 --> 00:31:12,800 Speaker 1: You ought to know this. It's a crazy person. You 502 00:31:12,800 --> 00:31:19,400 Speaker 1: shouldn't be led anywhere near government, right, You think there's 503 00:31:19,400 --> 00:31:22,560 Speaker 1: no argument for a guy like him. He's destructive anyway, 504 00:31:22,720 --> 00:31:26,440 Speaker 1: he's pushing this no bail bill and it may you know, 505 00:31:26,480 --> 00:31:31,560 Speaker 1: he may be up for a vote either today, tomorrow 506 00:31:31,640 --> 00:31:37,720 Speaker 1: or Wednesday. We're in a deadline session here and it 507 00:31:37,760 --> 00:31:42,600 Speaker 1: has to be voted on by wednesday, and Hertzberg is 508 00:31:42,600 --> 00:31:47,080 Speaker 1: pushing hard zero bail, and he lies to everybody publicly 509 00:31:47,600 --> 00:31:52,920 Speaker 1: and privately, and it's just that zero bail lowers crime. Well, 510 00:31:53,280 --> 00:31:55,720 Speaker 1: talk to that poor woman who got murdered. Does not 511 00:31:55,800 --> 00:31:58,320 Speaker 1: lower crime, Obviously it doesn't. They've done this in New 512 00:31:58,400 --> 00:32:00,920 Speaker 1: York City. I mean, they're finding that some no bail 513 00:32:01,000 --> 00:32:08,640 Speaker 1: criminals are committing hundreds of crimes, hundreds of crimes because 514 00:32:09,040 --> 00:32:13,200 Speaker 1: they are never off the streets, they never suffer a consequence. Ultimately, 515 00:32:13,680 --> 00:32:16,320 Speaker 1: many of them are never prosecuted, or if they're prosecuted, 516 00:32:16,320 --> 00:32:20,640 Speaker 1: they're never jailed. We had we had Steve Gregory on 517 00:32:20,720 --> 00:32:24,680 Speaker 1: earlier in the show who says we've got criminals now 518 00:32:24,920 --> 00:32:29,120 Speaker 1: organized crime coming in from other cities like Las Vegas 519 00:32:29,160 --> 00:32:32,360 Speaker 1: because they know they can do follow home robberies, they 520 00:32:32,360 --> 00:32:36,080 Speaker 1: can do home invasion robberies, they can do the smashing 521 00:32:36,120 --> 00:32:41,120 Speaker 1: grab robberies, and there might be no bail for them, 522 00:32:41,240 --> 00:32:50,040 Speaker 1: or only misdemeanor prosecution and no jail. So these the 523 00:32:50,720 --> 00:32:54,240 Speaker 1: mistake is to believe that these guys are stupid because 524 00:32:54,280 --> 00:32:58,280 Speaker 1: you see them in their hoodies on TV and it 525 00:32:58,320 --> 00:33:00,880 Speaker 1: looks like they're just a bunch of guys who dropped 526 00:33:00,880 --> 00:33:04,440 Speaker 1: out in the fifth grade. Well, they're not that stupid. 527 00:33:05,240 --> 00:33:06,920 Speaker 1: They know what the laws are, and they know the 528 00:33:06,960 --> 00:33:13,280 Speaker 1: experience of their criminal buddies, and a lot of criminals 529 00:33:13,400 --> 00:33:17,080 Speaker 1: know that. Most of them know, maybe all of them 530 00:33:17,120 --> 00:33:21,160 Speaker 1: know that you can do what you want in Los Angeles, 531 00:33:21,960 --> 00:33:25,200 Speaker 1: and that's why you see in the horrible stories every day. Now, 532 00:33:25,560 --> 00:33:29,120 Speaker 1: if they know they can get away with everything, why 533 00:33:29,120 --> 00:33:32,480 Speaker 1: do we elect the Bob Hertzberg's of the world to 534 00:33:32,600 --> 00:33:36,920 Speaker 1: give them even more freedoms, to punish them even less 535 00:33:37,000 --> 00:33:40,880 Speaker 1: so they're not even jailed overnight or jailed for a week, 536 00:33:41,000 --> 00:33:43,719 Speaker 1: or jailed until they're hearing why do we do that? 537 00:33:45,360 --> 00:33:49,640 Speaker 1: It's you know, And then the only response from the 538 00:33:49,640 --> 00:33:51,880 Speaker 1: police is is like, well, you know, buy a ring camera, 539 00:33:52,200 --> 00:33:54,360 Speaker 1: be aware of your surrounding. It's like, how can we 540 00:33:54,400 --> 00:33:57,160 Speaker 1: have we got to buy the ring camera because you 541 00:33:57,240 --> 00:34:02,200 Speaker 1: guys don't arrest, The prosecutors don't prosecute. The legislature doesn't 542 00:34:02,240 --> 00:34:06,400 Speaker 1: have bail or jail terms anymore. But we have to 543 00:34:06,440 --> 00:34:08,920 Speaker 1: take care of ourselves. In fact, wasn't there was some 544 00:34:08,960 --> 00:34:14,359 Speaker 1: idiot politician who was lecturing retail shop owners saying, well, 545 00:34:14,360 --> 00:34:16,640 Speaker 1: you've got to get a better security for your stores. 546 00:34:16,680 --> 00:34:19,480 Speaker 1: It's like, oh, you have to put the criminals in prison. 547 00:34:22,400 --> 00:34:24,080 Speaker 1: I don't know, I don't know why this caught on. 548 00:34:25,640 --> 00:34:29,359 Speaker 1: It's baffling to me. I mean, for all the things 549 00:34:29,440 --> 00:34:31,400 Speaker 1: they study in the world, have yet to see the 550 00:34:31,440 --> 00:34:34,440 Speaker 1: study as to why people have latched onto this wacky 551 00:34:34,520 --> 00:34:38,120 Speaker 1: idea that you don't prosecute or punish or keep people 552 00:34:38,120 --> 00:34:40,759 Speaker 1: off the streets when when they can make crimes over 553 00:34:40,800 --> 00:34:43,480 Speaker 1: and over again. Nobody seems interested to find out how 554 00:34:43,480 --> 00:34:46,680 Speaker 1: the public outd have manipulated it to that. Was it 555 00:34:46,760 --> 00:34:50,480 Speaker 1: just everybody is taught now to feel sorry, to have 556 00:34:50,600 --> 00:34:55,479 Speaker 1: the passion for these guys. I'm mark coming up, we'll 557 00:34:55,480 --> 00:34:59,640 Speaker 1: talk to somebody from a victim's rights group about the 558 00:34:59,719 --> 00:35:03,520 Speaker 1: NOPE nobail Bob Hertzberg and his new bill again John 559 00:35:03,520 --> 00:35:06,400 Speaker 1: and Kenshaw Debermark has news k'f I am six forty 560 00:35:06,600 --> 00:35:10,399 Speaker 1: It's never been more important to diversify your financial portfolio. Well, 561 00:35:10,400 --> 00:35:13,520 Speaker 1: that's right. The SSP is down twenty percent from the 562 00:35:13,560 --> 00:35:15,880 Speaker 1: last year and this year looks even worse. 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