1 00:00:00,640 --> 00:00:02,080 Speaker 1: Can't. I am six forty. 2 00:00:02,120 --> 00:00:05,560 Speaker 2: You're listening to the John Cobel podcast on the iHeartRadio app. 3 00:00:06,400 --> 00:00:10,200 Speaker 2: We're back together here and we're on every day from 4 00:00:10,200 --> 00:00:10,720 Speaker 2: one till four. 5 00:00:11,360 --> 00:00:12,200 Speaker 1: Vacation is over. 6 00:00:13,119 --> 00:00:16,360 Speaker 2: It's two beautiful weeks one in Iceland with thirty of 7 00:00:16,360 --> 00:00:21,440 Speaker 2: our listeners. We're really nice, reasonable people. 8 00:00:22,040 --> 00:00:22,520 Speaker 3: Reasonable. 9 00:00:23,160 --> 00:00:25,360 Speaker 2: Yeah, no, no, no, Crez. It was really a good time. 10 00:00:26,840 --> 00:00:28,560 Speaker 2: So you should have gone. You missed out. 11 00:00:28,800 --> 00:00:29,880 Speaker 3: I wasted. 12 00:00:30,600 --> 00:00:33,199 Speaker 1: Well you have to pay. You could have signed up. 13 00:00:33,880 --> 00:00:36,840 Speaker 3: Well I didn't know you didn't. 14 00:00:36,880 --> 00:00:41,760 Speaker 2: You had other places to travel. Yes, we're gonna Well 15 00:00:41,600 --> 00:00:42,839 Speaker 2: we might go somewhere next year. 16 00:00:42,880 --> 00:00:46,280 Speaker 3: Okay, well maybe I'll be invited you. 17 00:00:46,240 --> 00:00:49,720 Speaker 2: Who are you supposed to be invited by? It's a 18 00:00:49,720 --> 00:00:52,600 Speaker 2: trip that's opened to anybody I know. All right, But 19 00:00:53,800 --> 00:00:56,800 Speaker 2: well you want to like the President of Iceland to 20 00:00:56,880 --> 00:00:57,800 Speaker 2: send you an invitation? 21 00:00:57,840 --> 00:00:59,360 Speaker 3: Oh yeah, that'd be great. 22 00:01:00,760 --> 00:01:03,720 Speaker 1: Coming up in a few minutes. Another I told you so. 23 00:01:06,280 --> 00:01:10,200 Speaker 2: According to public Radio, the California Homeless count that they 24 00:01:11,440 --> 00:01:21,240 Speaker 2: announced his complete bull crap, nonsense wrong, and they presented 25 00:01:21,240 --> 00:01:23,600 Speaker 2: it to the new woman who's running loss, and she 26 00:01:23,640 --> 00:01:24,800 Speaker 2: looked at it and it's like, well, you know, we. 27 00:01:25,000 --> 00:01:27,280 Speaker 1: Got to talk to we got to talk to them. 28 00:01:27,319 --> 00:01:30,360 Speaker 2: It was the Rand Corporation that did the count, and 29 00:01:30,600 --> 00:01:31,959 Speaker 2: we were going to talk to Rand and see what 30 00:01:32,000 --> 00:01:35,080 Speaker 2: this is about. In other words, yeah, maybe we did 31 00:01:35,080 --> 00:01:40,120 Speaker 2: screw up. Maybe we are lying. Let's got alex Stone. 32 00:01:40,440 --> 00:01:46,160 Speaker 2: Alaska Airlines had some massive computer meltdown and a groundstop 33 00:01:46,319 --> 00:01:49,560 Speaker 2: was issued for eight hours last night. And there's a 34 00:01:49,600 --> 00:01:52,000 Speaker 2: lot of Alaskan flights that fight in and out of 35 00:01:52,120 --> 00:01:53,680 Speaker 2: La Alex. 36 00:01:53,920 --> 00:01:54,680 Speaker 1: What's this about? 37 00:01:54,840 --> 00:01:56,960 Speaker 2: Yeah, thank goodness, you didn't have to deal with this 38 00:01:57,000 --> 00:01:59,800 Speaker 2: when you were flying back, and it wasn't on the airline. 39 00:01:59,840 --> 00:02:02,080 Speaker 2: You you know, Last Airline is now the fifth largest 40 00:02:02,120 --> 00:02:04,760 Speaker 2: airline in the US, which surprises a lot of people 41 00:02:04,800 --> 00:02:07,320 Speaker 2: that you know, you'd think for a while it was 42 00:02:07,360 --> 00:02:08,960 Speaker 2: for quite a while you had to go up to 43 00:02:08,960 --> 00:02:12,880 Speaker 2: Seattle and connect through there. But now since they absorbed 44 00:02:12,919 --> 00:02:16,640 Speaker 2: Virgin America and now Hawaiian Airlines, is that deal is 45 00:02:16,880 --> 00:02:20,040 Speaker 2: being the merger or the buying of a Last Airlines 46 00:02:20,120 --> 00:02:22,720 Speaker 2: is really being absorbed in that they're growing really quickly. 47 00:02:22,800 --> 00:02:26,560 Speaker 2: So they are not really explaining what went on other 48 00:02:26,639 --> 00:02:29,680 Speaker 2: than to say that they had a failure at their 49 00:02:29,680 --> 00:02:32,600 Speaker 2: primary data center, and it's not clear if they totally 50 00:02:32,680 --> 00:02:34,880 Speaker 2: understand what that failure was or if there was more 51 00:02:34,919 --> 00:02:37,600 Speaker 2: to it. They are not saying that it was or 52 00:02:37,760 --> 00:02:40,160 Speaker 2: wasn't malicious, so it's not really clear what this was. 53 00:02:40,200 --> 00:02:44,120 Speaker 2: But for eight hours last night they had to ground 54 00:02:44,160 --> 00:02:47,160 Speaker 2: all of their flights, their entire fleet and that of 55 00:02:47,200 --> 00:02:50,320 Speaker 2: the regional carrier Horizon Air that they owned because of 56 00:02:50,360 --> 00:02:53,680 Speaker 2: this IT outage, and people were stuck. They couldn't go anywhere. 57 00:02:53,680 --> 00:02:55,799 Speaker 2: This guy was stuck, he said, they were on their 58 00:02:55,800 --> 00:02:57,440 Speaker 2: plane and then all of a sudden they were told, whoops, 59 00:02:57,480 --> 00:02:59,600 Speaker 2: we can't go anywhere, and we won't be going anywhere tonight. 60 00:02:59,800 --> 00:03:02,000 Speaker 2: Soon as we sat down, we got an announcement saying 61 00:03:03,160 --> 00:03:06,080 Speaker 2: from the pilots saying, folks, there's a bit of a 62 00:03:06,120 --> 00:03:09,160 Speaker 2: hit up. So about forty nine thousand people were impacted 63 00:03:09,160 --> 00:03:12,160 Speaker 2: by this last night alone, let alone today. Last night, 64 00:03:12,200 --> 00:03:14,760 Speaker 2: three hundred and sixty flights were canceled. Today it looks 65 00:03:14,840 --> 00:03:17,000 Speaker 2: it's around one hundred and thirty five for our last airlines. 66 00:03:17,280 --> 00:03:18,440 Speaker 1: Is they still deal with this? 67 00:03:18,560 --> 00:03:20,919 Speaker 2: And yeah, John, like we've talked about anytime when United 68 00:03:21,000 --> 00:03:23,399 Speaker 2: had a problem a couple of years ago in Southwest, 69 00:03:23,440 --> 00:03:26,200 Speaker 2: everybody's had some issue the grounds a lot of their 70 00:03:26,200 --> 00:03:29,640 Speaker 2: planes that it takes a while because then that plane 71 00:03:29,639 --> 00:03:33,200 Speaker 2: that should have been in Burbank is sitting in Chicago. 72 00:03:33,440 --> 00:03:34,160 Speaker 1: And you know, I mean. 73 00:03:34,040 --> 00:03:37,160 Speaker 2: Every plane is in the wrong city, every crew is 74 00:03:37,200 --> 00:03:38,080 Speaker 2: in the wrong city. 75 00:03:38,200 --> 00:03:39,560 Speaker 1: That they've got to move them around. 76 00:03:39,760 --> 00:03:41,520 Speaker 2: And then you've got all the passengers who haven't been 77 00:03:41,560 --> 00:03:42,920 Speaker 2: able to go where they need to go, and they've 78 00:03:42,920 --> 00:03:46,080 Speaker 2: got to spend money, and whether it means on Alaska 79 00:03:46,160 --> 00:03:48,400 Speaker 2: or on another airline getting them where they've got to be. 80 00:03:48,480 --> 00:03:50,680 Speaker 2: But for those who have tried to get home, it's 81 00:03:50,720 --> 00:03:52,040 Speaker 2: been tough if they've been able to do it. 82 00:03:52,040 --> 00:03:53,960 Speaker 1: Today, this was really a roller coaster of a day. 83 00:03:54,040 --> 00:03:56,360 Speaker 1: We didn't know what was happening one minute from the next. 84 00:03:56,400 --> 00:03:59,120 Speaker 2: So they're gonna continue cleaning this up today and probably 85 00:03:59,200 --> 00:04:01,280 Speaker 2: into tomorrow a little bit as they try to get 86 00:04:01,320 --> 00:04:02,800 Speaker 2: the planes where they need to be in the cruise, 87 00:04:02,840 --> 00:04:05,160 Speaker 2: but as we wait to find out more about what 88 00:04:05,240 --> 00:04:08,480 Speaker 2: this was and a last airline's not really specifying that 89 00:04:08,520 --> 00:04:10,240 Speaker 2: they this is the second one of these they had 90 00:04:10,280 --> 00:04:12,680 Speaker 2: won about three months ago, and that one they said 91 00:04:12,760 --> 00:04:15,480 Speaker 2: was well, they were upgrading their system, which does occur 92 00:04:15,560 --> 00:04:18,239 Speaker 2: and we've seen that with other airlines where something goes 93 00:04:18,360 --> 00:04:19,760 Speaker 2: a little out of whack and all of a sudden 94 00:04:19,839 --> 00:04:21,000 Speaker 2: the whole system goes down. 95 00:04:21,040 --> 00:04:22,920 Speaker 1: But this is the second one for Alaska in a 96 00:04:22,960 --> 00:04:24,200 Speaker 1: couple of months. I have a question. 97 00:04:24,360 --> 00:04:26,080 Speaker 2: Yeah, I don't know if you know the answer to this, 98 00:04:26,160 --> 00:04:29,440 Speaker 2: I'll make it up, but well that's what I do. 99 00:04:32,000 --> 00:04:34,880 Speaker 2: Why is it that if there's people, they've already boarded 100 00:04:34,880 --> 00:04:39,000 Speaker 2: the plane and they're on the taxiway, why would they 101 00:04:39,279 --> 00:04:41,880 Speaker 2: make everybody get off the plane? I mean, does the 102 00:04:41,880 --> 00:04:43,200 Speaker 2: pilot's screens go out? 103 00:04:43,400 --> 00:04:43,599 Speaker 1: Yeah? 104 00:04:43,640 --> 00:04:45,240 Speaker 2: So it depends on no, I mean your cockpait would 105 00:04:45,279 --> 00:04:48,039 Speaker 2: be okay, It depends on what the systems are. It 106 00:04:48,120 --> 00:04:53,200 Speaker 2: seems like that this impacted dispatch and routing and maybe 107 00:04:53,200 --> 00:04:56,719 Speaker 2: even weight and balance that they're still doing the calculations 108 00:04:56,760 --> 00:04:59,920 Speaker 2: as they're taxing out, and if communication with the last 109 00:05:00,040 --> 00:05:03,159 Speaker 2: caroline systems goes down, then they don't have all of 110 00:05:03,200 --> 00:05:05,240 Speaker 2: that data. And they one a couple of months ago 111 00:05:05,279 --> 00:05:06,800 Speaker 2: for a Last Airlines that did a lot of weight 112 00:05:06,839 --> 00:05:09,800 Speaker 2: and balance, which is critical and getting off the ground 113 00:05:09,839 --> 00:05:12,240 Speaker 2: and making sure that that you've got everything right for 114 00:05:12,279 --> 00:05:13,960 Speaker 2: the flight that you don't take off and then you 115 00:05:14,000 --> 00:05:16,880 Speaker 2: know you got the weight wrong or the balance of 116 00:05:17,000 --> 00:05:20,080 Speaker 2: cargo wrong. Down below or passengers. You've ever been on 117 00:05:20,120 --> 00:05:22,560 Speaker 2: a flight where they ask you to move because they 118 00:05:22,600 --> 00:05:25,279 Speaker 2: want they need more people in the back than who 119 00:05:25,279 --> 00:05:26,960 Speaker 2: are sitting back there for weight and balance. 120 00:05:27,279 --> 00:05:28,920 Speaker 1: So they've got to get that right. 121 00:05:29,040 --> 00:05:32,839 Speaker 2: And we don't know necessarily yet if this impacted weight 122 00:05:32,839 --> 00:05:34,359 Speaker 2: and balance, but it did a few months ago. But 123 00:05:34,360 --> 00:05:36,320 Speaker 2: all that's critical while they're going out. 124 00:05:36,160 --> 00:05:36,719 Speaker 1: To the runway. 125 00:05:36,760 --> 00:05:38,520 Speaker 2: All right, very good, thank you to tell like any 126 00:05:38,520 --> 00:05:40,880 Speaker 2: what I was talking about. I make it, make it well, yes, yes, 127 00:05:41,080 --> 00:05:42,640 Speaker 2: it was very convincing. If you got to do it, 128 00:05:42,680 --> 00:05:47,599 Speaker 2: you got to be convincing, that's right, I know. Alex Stone, 129 00:05:47,640 --> 00:05:50,440 Speaker 2: ABC News on a last airline having a big grounds stop. 130 00:05:50,480 --> 00:05:54,520 Speaker 2: All right, we come back. I told you they lie. 131 00:05:54,720 --> 00:05:58,400 Speaker 2: They lie about a lot of things, they meaning all 132 00:05:58,400 --> 00:06:02,599 Speaker 2: the governments. I told you they lie about homeless numbers. 133 00:06:03,160 --> 00:06:06,919 Speaker 2: Karen Vass has been preating and preening and squealing about 134 00:06:06,920 --> 00:06:09,880 Speaker 2: how they homeless numbers have been down for the last 135 00:06:09,880 --> 00:06:14,480 Speaker 2: two years. That apparently is not true. What exactly they 136 00:06:14,520 --> 00:06:18,000 Speaker 2: are nobody knows. But the rand Corporation, by the way, 137 00:06:18,040 --> 00:06:22,800 Speaker 2: the smartest people, the smartest people work for RANDT there 138 00:06:22,880 --> 00:06:27,160 Speaker 2: it's a research I think tank in Santa Monica. I 139 00:06:27,520 --> 00:06:31,360 Speaker 2: met somebody from the Rand Corporation once at a party. 140 00:06:31,400 --> 00:06:35,600 Speaker 2: Holy mackerel, most intimidating woman I ever talked to. Really, 141 00:06:35,760 --> 00:06:40,039 Speaker 2: Oh yeah, yeah, I couldn't. I couldn't believe like how 142 00:06:40,040 --> 00:06:40,719 Speaker 2: smart she was. 143 00:06:40,800 --> 00:06:42,919 Speaker 3: So what did you just like not say anything? 144 00:06:43,200 --> 00:06:45,240 Speaker 2: Just no, no, why I talked with her, Kyle, No, 145 00:06:45,320 --> 00:06:46,960 Speaker 2: I actually was kind of fascinated by her. 146 00:06:47,000 --> 00:06:49,200 Speaker 1: I wanted to you know, you ask good questions. Yeah, 147 00:06:49,240 --> 00:06:51,000 Speaker 1: I know how to do this. So you know. 148 00:06:51,320 --> 00:06:54,200 Speaker 4: You said you intimidated, Well, that was internally. 149 00:06:54,960 --> 00:06:58,159 Speaker 2: Internally, it's like, you know, because because because that that 150 00:06:58,279 --> 00:07:01,880 Speaker 2: kind of intelligence is more intimidating than even beauty, because 151 00:07:02,160 --> 00:07:07,719 Speaker 2: you just it's how you're standing there and you're like 152 00:07:07,800 --> 00:07:11,080 Speaker 2: gauging because you don't want to sound stupid, right, and 153 00:07:11,280 --> 00:07:13,280 Speaker 2: you do want to talk and find out about what 154 00:07:13,680 --> 00:07:17,800 Speaker 2: she's doing and how this works, and all without sounding 155 00:07:17,880 --> 00:07:22,440 Speaker 2: like a silly fanboy, right, you know. It's but no, 156 00:07:22,480 --> 00:07:25,720 Speaker 2: they're they're all like that. And so when they say 157 00:07:25,920 --> 00:07:30,440 Speaker 2: that La was undercounting the vagrants in the street, I 158 00:07:30,520 --> 00:07:31,640 Speaker 2: believe them. 159 00:07:32,680 --> 00:07:37,000 Speaker 5: You're listening to John Cobelt on demand from KFI AM 160 00:07:37,040 --> 00:07:38,200 Speaker 5: six forty. 161 00:07:39,120 --> 00:07:46,120 Speaker 1: All right, we've got you know, we had Richie Greenberg on. 162 00:07:46,280 --> 00:07:50,200 Speaker 2: He's a journalist and a commentator up from San Francisco, 163 00:07:50,720 --> 00:07:53,960 Speaker 2: and we were talking about how Trump plots to send 164 00:07:53,960 --> 00:07:56,760 Speaker 2: in the National Guard, and I asked him, well, how 165 00:07:56,800 --> 00:07:59,840 Speaker 2: bad is it and he said, because there's a lot 166 00:07:59,880 --> 00:08:02,240 Speaker 2: of stories that crime is down in San Francisco, and 167 00:08:02,280 --> 00:08:04,000 Speaker 2: you see this repeatedly. 168 00:08:04,040 --> 00:08:05,320 Speaker 1: Crime is down, crime is down. 169 00:08:05,960 --> 00:08:09,200 Speaker 2: And then Richie said, well, crime is down because most 170 00:08:09,200 --> 00:08:13,840 Speaker 2: of the businesses downtown moved out, and so there's nothing 171 00:08:13,920 --> 00:08:16,160 Speaker 2: left to break into, and there's nothing left to steal. 172 00:08:17,600 --> 00:08:21,080 Speaker 2: Everything's been stolen, everything's been broken into, and anybody left 173 00:08:21,120 --> 00:08:25,200 Speaker 2: got out of there. And that is what is frustrating 174 00:08:25,360 --> 00:08:30,120 Speaker 2: about official statistics from the government, amplified by the idiots 175 00:08:30,120 --> 00:08:34,439 Speaker 2: and the media. And of course it's all about intentionally 176 00:08:34,559 --> 00:08:37,880 Speaker 2: lying to you. They know exactly what they're doing. They 177 00:08:37,880 --> 00:08:40,840 Speaker 2: don't make mistakes. And one of the things that's bugged 178 00:08:40,840 --> 00:08:46,439 Speaker 2: me is when they start spewing mistakes, it's hard to 179 00:08:46,559 --> 00:08:50,240 Speaker 2: challenge them because I can't go out and count the 180 00:08:50,240 --> 00:08:53,640 Speaker 2: homeless people. I use my eyes and I'm looking around. 181 00:08:53,720 --> 00:08:55,880 Speaker 2: It's like it's as bad as it's always been in 182 00:08:56,040 --> 00:08:57,280 Speaker 2: la you'd. 183 00:08:57,040 --> 00:09:01,960 Speaker 1: Say so too. Oh yeah, Some areas are worse. Hollywood's worse. 184 00:09:03,160 --> 00:09:07,360 Speaker 2: So I know they're lying, but you can't prove it. 185 00:09:07,400 --> 00:09:12,239 Speaker 2: So the RAND Corporation, it's a think tank filled with geniuses, 186 00:09:13,160 --> 00:09:17,520 Speaker 2: and they do a lot of research. And what they 187 00:09:17,559 --> 00:09:20,000 Speaker 2: did they didn't count the whole city, but they took 188 00:09:20,360 --> 00:09:25,320 Speaker 2: three sections of Los Angeles and did their own count 189 00:09:26,200 --> 00:09:34,199 Speaker 2: and found that Karen Bass's count captured just sixty eight 190 00:09:34,240 --> 00:09:42,360 Speaker 2: percent of the homeless. They missed by a third. They undercounted. 191 00:09:43,000 --> 00:09:46,200 Speaker 2: This is this is Karen Bass and Lasa. They undercounted 192 00:09:46,240 --> 00:09:52,439 Speaker 2: by twenty six percent last year. This year they're undercounted 193 00:09:52,480 --> 00:09:58,200 Speaker 2: by thirty two percent. They missed a third of the 194 00:09:58,240 --> 00:10:01,800 Speaker 2: homeless this year, and they missed a quarter of it 195 00:10:01,920 --> 00:10:04,760 Speaker 2: last year. And how many times did she be carrying? 196 00:10:04,760 --> 00:10:04,920 Speaker 6: Oh? 197 00:10:05,040 --> 00:10:09,240 Speaker 2: Almost this is down inside safe as a success. 198 00:10:10,200 --> 00:10:12,600 Speaker 1: And I'm thinking, I know you're lying, but I can't 199 00:10:12,600 --> 00:10:12,960 Speaker 1: prove it. 200 00:10:18,840 --> 00:10:22,560 Speaker 2: Louis Abramson is the lead author of this RAND report, 201 00:10:23,240 --> 00:10:25,280 Speaker 2: and he said, and you know what they did is 202 00:10:25,320 --> 00:10:28,520 Speaker 2: they sampled three districts where there are a lot of 203 00:10:28,520 --> 00:10:32,560 Speaker 2: homeless people. You know, once you sample enough, you can 204 00:10:32,559 --> 00:10:35,640 Speaker 2: get a pretty good idea whether the Bass is telling 205 00:10:35,679 --> 00:10:39,320 Speaker 2: the truth. And Louise Abramson said in twenty twenty two 206 00:10:39,360 --> 00:10:45,000 Speaker 2: and twenty three, in the areas we counted, the loss 207 00:10:45,040 --> 00:10:48,760 Speaker 2: account was excellent. I don't know what has happened afterwards. 208 00:10:48,920 --> 00:10:55,160 Speaker 2: I'll tell you what happened. Bass became mayor in twenty 209 00:10:55,200 --> 00:10:59,040 Speaker 2: twenty three, and she. 210 00:10:59,080 --> 00:10:59,880 Speaker 1: Doesn't she won. 211 00:11:00,000 --> 00:11:01,800 Speaker 2: It's the homeless numbers to keep going down even if 212 00:11:01,800 --> 00:11:06,680 Speaker 2: they're not going down. That's what one of the employees 213 00:11:06,720 --> 00:11:07,839 Speaker 2: that losses said. 214 00:11:07,640 --> 00:11:09,079 Speaker 1: Was going on. 215 00:11:09,080 --> 00:11:11,319 Speaker 2: One of the employees at loss of and she said 216 00:11:11,320 --> 00:11:14,920 Speaker 2: this in a court document that they were under pressure 217 00:11:16,280 --> 00:11:19,679 Speaker 2: to lie about the numbers because they don't want to 218 00:11:19,679 --> 00:11:20,199 Speaker 2: make Karen. 219 00:11:20,040 --> 00:11:20,720 Speaker 1: Bass look bad. 220 00:11:24,000 --> 00:11:25,959 Speaker 2: They said, part of the problem is there's a new 221 00:11:26,000 --> 00:11:30,200 Speaker 2: type of homeless person because they have gotten rid of 222 00:11:30,240 --> 00:11:34,439 Speaker 2: some of the tent encampments and they're called rough sleepers. 223 00:11:35,720 --> 00:11:42,280 Speaker 2: They live outside, no tent, no makeshifts, wooden boards that 224 00:11:42,320 --> 00:11:47,400 Speaker 2: they're sleeping under, no vehicle, and it says LA's removed 225 00:11:47,480 --> 00:11:51,880 Speaker 2: tent encampments. But rough sleepers are hard to count accurately. 226 00:11:54,840 --> 00:11:59,719 Speaker 2: Abramson said the easiest to count population was the dominant population. 227 00:12:02,720 --> 00:12:04,720 Speaker 2: So if you got the tent dwellers right, that's easy 228 00:12:04,720 --> 00:12:08,000 Speaker 2: to count. You're just counting the tents, but if more 229 00:12:08,000 --> 00:12:10,400 Speaker 2: of your population is rough sleeping. I never heard this 230 00:12:10,480 --> 00:12:11,000 Speaker 2: term before. 231 00:12:11,000 --> 00:12:11,679 Speaker 3: I ever heard that. 232 00:12:11,920 --> 00:12:18,280 Speaker 2: Apparently this is a new official, new official jargon. Skid 233 00:12:18,360 --> 00:12:22,920 Speaker 2: Row is just sixty one percent accurate. So Karen Bass 234 00:12:23,880 --> 00:12:29,320 Speaker 2: undercounted by almost forty percent on skid row. That was 235 00:12:29,400 --> 00:12:36,480 Speaker 2: the biggest miss Hollywood, they missed by nineteen percent. The 236 00:12:36,600 --> 00:12:39,760 Speaker 2: places with the highest needs, according to the report, are 237 00:12:39,800 --> 00:12:43,559 Speaker 2: the very places where the official count is most underestimated. 238 00:12:44,440 --> 00:12:48,240 Speaker 2: So they took this to the new chief executive of LOSA, 239 00:12:48,360 --> 00:12:51,760 Speaker 2: Geita O'Neill, and she said, I haven't seen the report yet, 240 00:12:51,760 --> 00:12:57,160 Speaker 2: but I'd like to compare notes. She welcomes more outside 241 00:12:57,200 --> 00:13:01,839 Speaker 2: counts that their count is not the last word. Well, 242 00:13:01,880 --> 00:13:05,760 Speaker 2: Bass is running around like it's the last word. She's 243 00:13:05,800 --> 00:13:08,880 Speaker 2: been pounding into everybody's head. Oh it's down, exper Salell, No, 244 00:13:09,000 --> 00:13:17,560 Speaker 2: it's not. And it affects all the funding that goes 245 00:13:17,600 --> 00:13:23,400 Speaker 2: on because there's three hundred million dollars in federal and 246 00:13:23,760 --> 00:13:28,040 Speaker 2: local dollars they get. They get two hundred and twenty 247 00:13:28,040 --> 00:13:31,960 Speaker 2: million from the FEDS housing in urban development, which is 248 00:13:31,960 --> 00:13:35,120 Speaker 2: why Bill is Saley is investigating where all this money 249 00:13:35,160 --> 00:13:37,840 Speaker 2: is going because there's there is a lot of federal 250 00:13:37,880 --> 00:13:42,080 Speaker 2: money involved. Yeah, they steal federal money. They steal state money, 251 00:13:42,120 --> 00:13:48,040 Speaker 2: they steal local tax money. Oh, here's the thing. The 252 00:13:48,160 --> 00:13:52,199 Speaker 2: discrepancies in RANS report raised questions about reported declines and 253 00:13:52,280 --> 00:13:59,440 Speaker 2: homelessness raise questions. It means they're lying and they got caught. 254 00:14:00,080 --> 00:14:03,760 Speaker 2: City officials have celebrated two consecutive years of declining homelessness. 255 00:14:05,960 --> 00:14:06,680 Speaker 1: So if. 256 00:14:08,240 --> 00:14:12,800 Speaker 2: If the pattern that RAND researchers have found holds up 257 00:14:12,880 --> 00:14:16,920 Speaker 2: across the entire city, almost eight thousand people may be 258 00:14:17,000 --> 00:14:20,440 Speaker 2: missing from the most recent count. Bass was trying to 259 00:14:20,440 --> 00:14:23,720 Speaker 2: claim that we're down twenty three hundred homeless, we may 260 00:14:23,800 --> 00:14:31,320 Speaker 2: be up eight thousand homeless. They use this app when 261 00:14:31,320 --> 00:14:35,800 Speaker 2: they wander around the streets. This app for three years 262 00:14:38,000 --> 00:14:41,560 Speaker 2: has had many technical issues. The thing doesn't work like 263 00:14:41,600 --> 00:14:45,240 Speaker 2: a lot of apps, and Loss has said last year, 264 00:14:45,400 --> 00:14:48,600 Speaker 2: issues with the app increased doubts and concerns about the 265 00:14:48,640 --> 00:14:52,840 Speaker 2: technology and the reliability of the data. Notice, Bass has 266 00:14:52,840 --> 00:14:58,440 Speaker 2: no problem declaring the drops in homelessness as fact. They're 267 00:14:58,440 --> 00:15:02,520 Speaker 2: not fact. If you look at this report, their app 268 00:15:02,560 --> 00:15:10,000 Speaker 2: doesn't work. They undercount in some neighborhoods, massively undercount. When 269 00:15:10,000 --> 00:15:15,440 Speaker 2: you're missing account by forty percent, and now instead of 270 00:15:15,480 --> 00:15:18,440 Speaker 2: being down twenty three hundred people were up almost eight 271 00:15:18,520 --> 00:15:19,240 Speaker 2: thousand people. 272 00:15:22,200 --> 00:15:23,280 Speaker 1: They said this years ago. 273 00:15:23,400 --> 00:15:26,520 Speaker 2: Apparently there was a report from the Economic Roundtable eight 274 00:15:26,600 --> 00:15:30,400 Speaker 2: years ago that LA's homeless count lacked reliable year to 275 00:15:30,480 --> 00:15:34,120 Speaker 2: year data because the methods and the data collection it 276 00:15:34,200 --> 00:15:41,680 Speaker 2: was not consistent exact. So more lies, more propaganda, more nonsense. 277 00:15:42,280 --> 00:15:47,440 Speaker 2: At least the Rand Corporation did an investigation. LAist is 278 00:15:47,520 --> 00:15:52,800 Speaker 2: the public radio. They're publicizing it when we come back. 279 00:15:53,440 --> 00:15:57,120 Speaker 2: May have heard Deborah's news new fire Chief, Yes, talk 280 00:15:57,200 --> 00:15:57,760 Speaker 2: more about it. 281 00:15:58,760 --> 00:16:03,440 Speaker 5: You're listening to Cobel's on demand from KFI A six. 282 00:16:04,360 --> 00:16:07,400 Speaker 2: On every day from one till four o'clock. I'm back 283 00:16:07,960 --> 00:16:12,400 Speaker 2: from Iceland. I want to thank Collette. I want to 284 00:16:12,440 --> 00:16:21,120 Speaker 2: thank the leader of our Iceland tour, Marion the announce 285 00:16:21,160 --> 00:16:24,480 Speaker 2: your name properly. Thirty listeners came. They were a lot 286 00:16:24,520 --> 00:16:26,800 Speaker 2: of fun. We saw the northern lights. We saw these 287 00:16:27,080 --> 00:16:33,840 Speaker 2: beautiful glaciers, waterfalls, We saw a lot of lava. They 288 00:16:33,920 --> 00:16:36,240 Speaker 2: one of the selling points of Iceland is the land 289 00:16:36,280 --> 00:16:39,480 Speaker 2: of fire and ice. You see enormous lava fields. There 290 00:16:39,520 --> 00:16:42,400 Speaker 2: was one lava field we drove by that was like 291 00:16:42,520 --> 00:16:46,360 Speaker 2: twenty six what was it? No, it was seven times 292 00:16:46,400 --> 00:16:49,680 Speaker 2: the size of Manhattan. And some of these lava fields 293 00:16:49,720 --> 00:16:53,600 Speaker 2: are recent and when the lava comes pouring out a volcano, 294 00:16:53,640 --> 00:16:55,800 Speaker 2: it flattens everything in its sight and it stays that 295 00:16:55,840 --> 00:16:59,840 Speaker 2: way and eventually the lava breaks down into very rich soil. 296 00:17:00,400 --> 00:17:02,280 Speaker 1: But I don't know, I don't know how. 297 00:17:02,160 --> 00:17:04,120 Speaker 2: Many hundreds of years you gotta wait around for that. 298 00:17:05,320 --> 00:17:08,480 Speaker 2: But to see to see the volcano mountains, to see 299 00:17:08,480 --> 00:17:15,000 Speaker 2: the the the waterfalls, the glaciers, it was really spectacu 300 00:17:15,080 --> 00:17:15,960 Speaker 2: on the northern lines. 301 00:17:16,080 --> 00:17:18,080 Speaker 3: Yeah, so it was. 302 00:17:18,119 --> 00:17:18,760 Speaker 1: It was really cool. 303 00:17:18,800 --> 00:17:20,640 Speaker 2: We were really lucky and we had a good group 304 00:17:20,680 --> 00:17:24,040 Speaker 2: of KFI listeners. So if we do another trip next year, 305 00:17:25,440 --> 00:17:29,840 Speaker 2: you should come with us, all right, So Endebra's news. 306 00:17:29,840 --> 00:17:33,920 Speaker 2: You probably heard that there's a new fire chief, Heimi More. 307 00:17:34,440 --> 00:17:37,320 Speaker 3: It's either Heimi or Jamie has heard it both ways. 308 00:17:38,720 --> 00:17:42,360 Speaker 2: Well, he's a fluent English and Spanish, so I guess 309 00:17:42,400 --> 00:17:43,640 Speaker 2: his name goes both ways too. 310 00:17:43,680 --> 00:17:47,520 Speaker 1: He's a deputy chief. They did a nationwide search. 311 00:17:49,200 --> 00:17:55,520 Speaker 2: And uh. He describes himself as a progressive fire service leader. 312 00:17:56,840 --> 00:18:00,560 Speaker 2: His bio reads Chief More advocates education, the importance of 313 00:18:00,560 --> 00:18:03,400 Speaker 2: knowing your job and promotes empathy towards others and kindness 314 00:18:03,400 --> 00:18:07,439 Speaker 2: to Awe. Well, that reads like a Miss America biography, 315 00:18:07,480 --> 00:18:10,680 Speaker 2: doesn't it. I mean, I don't know, I never heard 316 00:18:10,720 --> 00:18:12,199 Speaker 2: of him. I don't know him. He might be a 317 00:18:12,200 --> 00:18:17,400 Speaker 2: wonderful guy. But I want to hear that, and I'd 318 00:18:17,480 --> 00:18:18,800 Speaker 2: like to see if he's going to speak out on 319 00:18:18,840 --> 00:18:21,879 Speaker 2: this that if you find out that a one hundred 320 00:18:21,920 --> 00:18:25,359 Speaker 2: and seventeen million gallon reservoir is empty, you're going to 321 00:18:25,400 --> 00:18:26,600 Speaker 2: make sure it gets filled. 322 00:18:26,640 --> 00:18:27,880 Speaker 1: You're going to call that. 323 00:18:29,760 --> 00:18:34,320 Speaker 2: Dip bleep at the DWP Genie Kinoniez and say, Genie, 324 00:18:35,000 --> 00:18:36,520 Speaker 2: fill the reservoir up. 325 00:18:37,640 --> 00:18:39,960 Speaker 1: I want to hear that if a fire breaks out 326 00:18:40,240 --> 00:18:42,879 Speaker 1: and you have warnings that we might have eighty hundred 327 00:18:42,920 --> 00:18:43,600 Speaker 1: mile an hour. 328 00:18:43,440 --> 00:18:45,679 Speaker 2: Winds, you're going to send a crew back to the 329 00:18:45,720 --> 00:18:49,439 Speaker 2: fire site in case it gets rekindled. I want to 330 00:18:49,480 --> 00:18:52,560 Speaker 2: know you're going to keep constant track of the fire hydrants, 331 00:18:52,840 --> 00:18:55,600 Speaker 2: not find out after the fire that a thousand were broken. 332 00:18:56,720 --> 00:18:59,160 Speaker 2: I want to know that you don't have forty engines 333 00:18:59,680 --> 00:19:03,320 Speaker 2: bus did and can't be fixed because there's no money 334 00:19:03,320 --> 00:19:08,280 Speaker 2: for the there's no money for the mechanics. I don't 335 00:19:08,280 --> 00:19:13,240 Speaker 2: want to hear about sending firefighters home after their first 336 00:19:13,280 --> 00:19:15,600 Speaker 2: shift when fire breaks out because well, we don't have 337 00:19:15,640 --> 00:19:17,960 Speaker 2: the money. I want to hear the truth about why 338 00:19:18,240 --> 00:19:23,000 Speaker 2: this fire department is underfunded by half, then only fund 339 00:19:23,040 --> 00:19:26,600 Speaker 2: fifty percent of the fire department. Of course, you bring 340 00:19:26,640 --> 00:19:31,920 Speaker 2: it up, and then Karen Bass fires you. But somebody's 341 00:19:31,960 --> 00:19:36,560 Speaker 2: got to take her on. She's pouring a ton of 342 00:19:36,560 --> 00:19:39,920 Speaker 2: money into allegedly cleaning up the homeless. Now we find 343 00:19:39,960 --> 00:19:42,440 Speaker 2: out that her homeless cleanup statistics are fake. 344 00:19:44,600 --> 00:19:46,680 Speaker 1: And she doesn't pour the money into the fire department. 345 00:19:49,720 --> 00:19:53,960 Speaker 1: It says that Moore creates the LA Fire. 346 00:19:53,760 --> 00:19:58,920 Speaker 2: Department's Equity and Human Resources Bureau of who cares. He's 347 00:19:58,960 --> 00:20:01,639 Speaker 2: dedicated to improving diversity, equity inclusion. 348 00:20:04,840 --> 00:20:06,920 Speaker 1: I don't want to hear those three words ever again. 349 00:20:07,680 --> 00:20:13,280 Speaker 2: I want to know that we have strong, brave firefighters 350 00:20:15,440 --> 00:20:20,720 Speaker 2: who are able to work long hours in extremely difficult condition. 351 00:20:21,440 --> 00:20:23,840 Speaker 2: I don't care about their sex lives. I don't care 352 00:20:23,840 --> 00:20:28,400 Speaker 2: about the color of their skin, I don't care about 353 00:20:28,440 --> 00:20:30,640 Speaker 2: their backgrounds. I just got to know they can put 354 00:20:30,640 --> 00:20:35,160 Speaker 2: out a fire, and that they're smart enough to check 355 00:20:35,200 --> 00:20:37,680 Speaker 2: the reservoir and if it's empty, to make a big 356 00:20:37,720 --> 00:20:38,479 Speaker 2: stink about it. 357 00:20:38,920 --> 00:20:40,639 Speaker 3: I would love for you to have him on the 358 00:20:40,680 --> 00:20:44,560 Speaker 3: show and ask him what he thought about how everything 359 00:20:44,600 --> 00:20:48,680 Speaker 3: went down last January. But you're right, he'll be fired. 360 00:20:49,400 --> 00:20:52,480 Speaker 4: The mayor will fire him if he says anything negative, 361 00:20:52,520 --> 00:20:54,320 Speaker 4: so he's not going to be able to be truthful. 362 00:20:54,480 --> 00:21:00,760 Speaker 2: Kristin Crowley never sounded the alarm until through the fire 363 00:21:01,160 --> 00:21:04,760 Speaker 2: and after she was getting a lot of criticism. But 364 00:21:04,840 --> 00:21:08,239 Speaker 2: it turned out a lot of criticism towards Crowley is 365 00:21:08,280 --> 00:21:12,679 Speaker 2: true justified, but even more so Karen Bass because she 366 00:21:12,760 --> 00:21:14,560 Speaker 2: was the leader who is out in Ghana. 367 00:21:16,080 --> 00:21:18,960 Speaker 1: I think I I and if he's been in the 368 00:21:18,960 --> 00:21:23,320 Speaker 1: department for thirty years, what does he know? What does 369 00:21:23,359 --> 00:21:23,639 Speaker 1: he know? 370 00:21:23,920 --> 00:21:24,000 Speaker 2: Is? 371 00:21:24,280 --> 00:21:27,080 Speaker 1: I mean? I know what? How come all the headlines 372 00:21:27,119 --> 00:21:28,000 Speaker 1: are about diversity. 373 00:21:29,880 --> 00:21:31,640 Speaker 3: I'd like to know what he would have done differently? 374 00:21:33,200 --> 00:21:37,119 Speaker 2: Yeah, tell me that, Christian. Why do Kristin Crowley screwed up? 375 00:21:37,480 --> 00:21:44,360 Speaker 2: Say that Kristin Crowley screwed up? And we need more 376 00:21:44,359 --> 00:21:47,160 Speaker 2: money And I'm going to bring this up constantly publicly, 377 00:21:47,520 --> 00:21:49,280 Speaker 2: and if Karen Bass wants to fire me, she can 378 00:21:49,320 --> 00:21:51,880 Speaker 2: fire me. But we're way underfunded as a fire department. 379 00:21:52,160 --> 00:21:54,120 Speaker 2: All this stuff is going to happen again, and. 380 00:21:54,080 --> 00:21:56,320 Speaker 4: I'm going to make sure that all the fire hydrants 381 00:21:56,320 --> 00:21:58,720 Speaker 4: are full three hundred and sixty five days a year. 382 00:21:58,960 --> 00:22:02,120 Speaker 2: Is that too much to ask that the fire hydrants work, 383 00:22:02,200 --> 00:22:05,960 Speaker 2: that the reservoirs are filled. That what do they call 384 00:22:06,280 --> 00:22:09,000 Speaker 2: when all the when something happens, a tactical alert for 385 00:22:09,040 --> 00:22:11,840 Speaker 2: the police, right and everybody has to stay on to 386 00:22:11,920 --> 00:22:12,679 Speaker 2: the second shift. 387 00:22:12,880 --> 00:22:13,879 Speaker 1: I mean sometimes they. 388 00:22:13,720 --> 00:22:17,800 Speaker 2: Call out every able able body police officer that they 389 00:22:17,840 --> 00:22:21,320 Speaker 2: have in the department. That's what this should have been, 390 00:22:23,600 --> 00:22:25,119 Speaker 2: eighty one hundred mile an hour winds. 391 00:22:26,560 --> 00:22:27,320 Speaker 1: I want to know that. 392 00:22:27,280 --> 00:22:32,200 Speaker 2: These fires are babysat for however many weeks or months. 393 00:22:32,440 --> 00:22:34,479 Speaker 4: Yeah, if you have a fire that's moldering in a 394 00:22:34,520 --> 00:22:37,800 Speaker 4: fire prone area, you need to go back every single 395 00:22:37,880 --> 00:22:40,199 Speaker 4: day and do whatever you can to make sure that 396 00:22:40,280 --> 00:22:41,800 Speaker 4: fire is out. 397 00:22:42,240 --> 00:22:44,200 Speaker 1: Just today, what were we talking about. 398 00:22:44,320 --> 00:22:48,000 Speaker 2: They didn't do a thermal imaging right test. 399 00:22:48,119 --> 00:22:50,400 Speaker 4: They didn't think it was necessary or something like that, 400 00:22:50,640 --> 00:22:52,639 Speaker 4: uh warranted? 401 00:22:53,040 --> 00:22:54,520 Speaker 1: Yeah? 402 00:22:54,840 --> 00:22:58,880 Speaker 2: Yeah, And the last this interim fire chief Ronnie Vanuevas said, 403 00:22:58,880 --> 00:23:00,520 Speaker 2: we did everything that we could. 404 00:23:00,800 --> 00:23:02,919 Speaker 1: No false. Do you agree with that? 405 00:23:04,960 --> 00:23:08,840 Speaker 2: But the sycophants at the Times and the TV stations, 406 00:23:08,840 --> 00:23:13,240 Speaker 2: they're not going to ask this stuff. I cannot get 407 00:23:13,240 --> 00:23:19,560 Speaker 2: over that that reservoir was dry. I remember, like the 408 00:23:19,640 --> 00:23:21,600 Speaker 2: day of the fire or the day after the fire, 409 00:23:21,640 --> 00:23:24,640 Speaker 2: and Rick Caruso came on and he was talking and 410 00:23:24,720 --> 00:23:28,440 Speaker 2: he said, almost in passing, that the reservoirs are dry 411 00:23:28,520 --> 00:23:30,800 Speaker 2: or they didn't fill up the reservoirs. But there were 412 00:23:30,840 --> 00:23:33,520 Speaker 2: so much going on it stuck in my head, but 413 00:23:33,600 --> 00:23:35,320 Speaker 2: I didn't follow it up at the moment because it 414 00:23:35,359 --> 00:23:39,680 Speaker 2: didn't I didn't conceive that there could be a reservoir 415 00:23:39,720 --> 00:23:42,200 Speaker 2: of one hundred and seventeen million gallons that was completely empty. 416 00:23:42,440 --> 00:23:43,960 Speaker 2: Like my brain would not accept it. So I didn't 417 00:23:43,960 --> 00:23:47,439 Speaker 2: know what he was talking about. And then, you know, 418 00:23:47,680 --> 00:23:50,520 Speaker 2: a couple of days later, times did the big story 419 00:23:50,520 --> 00:23:56,679 Speaker 2: and it's like, oh, that's what he meant, because you know, 420 00:23:56,800 --> 00:23:59,399 Speaker 2: I thought maybe it's a small reservoir, but one hundred 421 00:23:59,400 --> 00:24:01,399 Speaker 2: and seventeen million. Yeah, And then they run around saying, oh, 422 00:24:01,440 --> 00:24:03,440 Speaker 2: let it made a difference, Yes, it would have, you liar, 423 00:24:04,400 --> 00:24:06,480 Speaker 2: just oh, I want to made a difference if we'd 424 00:24:06,480 --> 00:24:08,680 Speaker 2: sent the firefighters up the night before, Yes, it would. 425 00:24:08,720 --> 00:24:12,000 Speaker 2: You're lying, Oh would have made a difference if you 426 00:24:12,040 --> 00:24:14,480 Speaker 2: know we had more fire engines, Yes it would you're 427 00:24:14,560 --> 00:24:17,720 Speaker 2: lying again. I would have made a difference if the 428 00:24:17,760 --> 00:24:19,200 Speaker 2: hydrants work, Yes, it would. 429 00:24:20,200 --> 00:24:23,040 Speaker 1: It's a fourth law you just told so. 430 00:24:23,320 --> 00:24:28,080 Speaker 2: I don't know who this timing more is, but uh, 431 00:24:28,400 --> 00:24:31,200 Speaker 2: we're gonna be on his case too, because we don't 432 00:24:31,280 --> 00:24:33,480 Speaker 2: need we don't need another clown. 433 00:24:34,480 --> 00:24:37,240 Speaker 1: Bass is a clown, Kristin Crowley is a clown. Genie 434 00:24:37,320 --> 00:24:38,439 Speaker 1: Kenonias is a clown. 435 00:24:39,240 --> 00:24:43,280 Speaker 2: And there's already the diversity has been a disaster here. 436 00:24:44,119 --> 00:24:46,960 Speaker 2: I want somebody who can Filling a reservoir is like 437 00:24:47,000 --> 00:24:48,240 Speaker 2: filling a swimming pool. 438 00:24:49,400 --> 00:24:50,240 Speaker 1: You can't do that. 439 00:24:53,000 --> 00:24:56,160 Speaker 2: That's all we're asking to do is fill a hole 440 00:24:56,200 --> 00:24:59,119 Speaker 2: in the ground, and you can't do that, and you 441 00:24:59,160 --> 00:25:01,399 Speaker 2: don't tell anybody when it's empty. And it never should 442 00:25:01,400 --> 00:25:05,080 Speaker 2: have been emptied in the first place because the swimming 443 00:25:05,119 --> 00:25:08,440 Speaker 2: pool cover was torn or birds had pooped into the water. 444 00:25:08,480 --> 00:25:10,880 Speaker 2: Are some such nonsense, goy. 445 00:25:11,920 --> 00:25:16,800 Speaker 5: You're listening to John Cobels on demand from KFI Am sixty. 446 00:25:17,640 --> 00:25:20,280 Speaker 2: If there's a theme we've been talking about throughout the show, 447 00:25:20,720 --> 00:25:24,280 Speaker 2: the incredible amount of lying that's done by public officials 448 00:25:24,320 --> 00:25:26,720 Speaker 2: and then amplified by all the idiots in the media, 449 00:25:27,400 --> 00:25:31,720 Speaker 2: whether it's Karen Bass, claiming that homelessness is down by 450 00:25:31,840 --> 00:25:34,760 Speaker 2: twenty three hundred people. Turns out it's up by eight thousand. 451 00:25:34,760 --> 00:25:37,359 Speaker 2: According to Rand, they did their own count in three 452 00:25:37,400 --> 00:25:40,800 Speaker 2: big neighborhoods and found that the count was way off 453 00:25:41,280 --> 00:25:43,720 Speaker 2: in one neighborhood by forty percent. She just flat out 454 00:25:43,760 --> 00:25:45,760 Speaker 2: live because who's gonna know you're not going to count 455 00:25:45,800 --> 00:25:51,040 Speaker 2: it yourself. We talked about about how San Francisco they claim, well, 456 00:25:51,080 --> 00:25:54,720 Speaker 2: the crime is down, and as Richard Greenberg are corresponded 457 00:25:54,800 --> 00:25:57,080 Speaker 2: up in San Francisco pointed out, well, yeah, crime is 458 00:25:57,119 --> 00:26:00,400 Speaker 2: down in downtown because all the stores have closed. Everything's 459 00:26:00,440 --> 00:26:03,719 Speaker 2: been stolen, so the criminals have nothing left to steal. 460 00:26:04,640 --> 00:26:07,919 Speaker 2: And with Trump going after all these big cities and 461 00:26:08,000 --> 00:26:13,320 Speaker 2: their crime problems and illegal alien drug problems, everybody's still lying. 462 00:26:13,359 --> 00:26:17,520 Speaker 2: Listen to this guy. He's the fat guy, Governor JB. Pritzker, 463 00:26:17,640 --> 00:26:21,400 Speaker 2: governor of Illinois, very wealthy. I think I think he's 464 00:26:21,440 --> 00:26:24,000 Speaker 2: a billionaire too, and it looks like he's eaten most 465 00:26:24,040 --> 00:26:30,760 Speaker 2: of his fortune and he's another obnoxious jackass type and 466 00:26:31,000 --> 00:26:33,439 Speaker 2: he just he went on with grit Bear Fox News 467 00:26:33,880 --> 00:26:36,679 Speaker 2: and was trying to claim that Chicago's crime rate is 468 00:26:37,359 --> 00:26:38,160 Speaker 2: not very high. 469 00:26:38,560 --> 00:26:42,400 Speaker 6: Why does Chicago have the highest murder rate of all 470 00:26:42,400 --> 00:26:43,200 Speaker 6: the big cities. 471 00:26:43,760 --> 00:26:46,720 Speaker 7: Well, we are not in the top thirty in terms 472 00:26:46,720 --> 00:26:48,720 Speaker 7: of our murder rate andrate. 473 00:26:48,840 --> 00:26:49,880 Speaker 1: Our murder rate. 474 00:26:50,119 --> 00:26:52,240 Speaker 7: Has been cut in half over the last four years, 475 00:26:52,280 --> 00:26:54,639 Speaker 7: and every year it's gone down by double digits. And 476 00:26:54,640 --> 00:26:57,360 Speaker 7: if you look at all of the violent crime over. 477 00:26:57,200 --> 00:27:00,760 Speaker 6: The last four years, they've all gone down. US cities 478 00:27:00,960 --> 00:27:04,359 Speaker 6: seventeen point forty seven per one hundred thousand population. Chicago's 479 00:27:04,400 --> 00:27:09,080 Speaker 6: number one over Philadelphia, Houston, Dallas, San Antonio, Phoenix, Los Angeles. 480 00:27:08,640 --> 00:27:09,639 Speaker 1: New York, and San Diego. 481 00:27:09,920 --> 00:27:11,960 Speaker 7: I what I'm explaining to you as you want to 482 00:27:12,000 --> 00:27:16,639 Speaker 7: buy crime, Look, you can pull statistics up. I'm explaining 483 00:27:16,680 --> 00:27:19,080 Speaker 7: to you that our murder rate has been cut in half. 484 00:27:19,240 --> 00:27:21,560 Speaker 7: And very importantly, Brett and you got to hear this, 485 00:27:22,280 --> 00:27:24,960 Speaker 7: very importantly, full of it. We've been doing the things 486 00:27:25,000 --> 00:27:27,560 Speaker 7: that are necessary to bring crime down, right. We've invested 487 00:27:27,560 --> 00:27:31,200 Speaker 7: in community violence interruption. We've invested in police community in 488 00:27:31,280 --> 00:27:32,879 Speaker 7: more stage lease than any governoring. 489 00:27:32,960 --> 00:27:37,440 Speaker 2: Now, community violence interruption, what is somebody jump in front 490 00:27:37,440 --> 00:27:39,119 Speaker 2: of a bullet before it hits the other guy in 491 00:27:39,160 --> 00:27:39,520 Speaker 2: the head. 492 00:27:40,200 --> 00:27:41,719 Speaker 1: The hell is he talking about? 493 00:27:42,400 --> 00:27:44,480 Speaker 2: You know? As he keeps changing the subject and starts 494 00:27:44,520 --> 00:27:49,280 Speaker 2: babbling away. They're number one among major cities their murder rate. 495 00:27:50,000 --> 00:27:53,040 Speaker 2: What Brett Bear was saying was absolutely right. He got 496 00:27:53,040 --> 00:27:55,080 Speaker 2: caught wine by the rest of him. 497 00:27:55,920 --> 00:27:59,639 Speaker 7: In community violence, interruption. We've invested in police. I've added 498 00:27:59,640 --> 00:28:02,200 Speaker 7: more state police than any governor in quite a long time. 499 00:28:02,520 --> 00:28:04,800 Speaker 7: It's very important that we do both of those things 500 00:28:04,840 --> 00:28:07,359 Speaker 7: and more to invest in our community so that we 501 00:28:07,440 --> 00:28:08,440 Speaker 7: bring crime down. 502 00:28:08,480 --> 00:28:08,960 Speaker 1: We're doing that. 503 00:28:09,080 --> 00:28:11,639 Speaker 7: You know who's doing the opposite, Donald Trump? 504 00:28:12,200 --> 00:28:15,880 Speaker 1: Oh right, it's Trump's ball. 505 00:28:16,960 --> 00:28:21,360 Speaker 2: Oh Chicago has the worst murder rate in the country, 506 00:28:21,680 --> 00:28:24,439 Speaker 2: and he claims, well, we cut it in half. You 507 00:28:24,480 --> 00:28:27,479 Speaker 2: cut it in half, and you're still number one, and 508 00:28:27,520 --> 00:28:33,040 Speaker 2: you're lying about it. You're lying about it. Another guy 509 00:28:33,040 --> 00:28:37,040 Speaker 2: who wants to be president. Him and Newsome. There's psychopaths. 510 00:28:37,840 --> 00:28:41,920 Speaker 2: We only have psychopaths running for office now, all right, 511 00:28:42,840 --> 00:28:44,760 Speaker 2: you know, first day back, it feels like a Monday, 512 00:28:45,400 --> 00:28:45,800 Speaker 2: but it's not. 513 00:28:45,880 --> 00:28:47,360 Speaker 1: It's a Friday. It's weird. 514 00:28:47,520 --> 00:28:50,160 Speaker 2: Okay, got a weekend coming up. I'm gonna go home 515 00:28:50,280 --> 00:28:54,640 Speaker 2: watch the Dodgers like everybody else. And we got Conway next. 516 00:28:54,680 --> 00:28:57,080 Speaker 2: Michael Kurzier Live in KFI twenty four Hour News Room. 517 00:28:57,120 --> 00:28:59,960 Speaker 1: Hey, you've been listening to The John Cobalt Show podcast. 518 00:29:00,080 --> 00:29:02,520 Speaker 2: You can always hear the show live on KFI AM 519 00:29:02,560 --> 00:29:05,560 Speaker 2: six forty from one to four pm every Monday through Friday, 520 00:29:05,600 --> 00:29:08,880 Speaker 2: and of course, anytime on demand on the iHeartRadio app