1 00:00:00,040 --> 00:00:02,760 Speaker 1: Oh all listen says that the voters made sure that 2 00:00:02,800 --> 00:00:07,720 Speaker 1: California didn't collect taxes on lottery winnings. So wow, there 3 00:00:07,760 --> 00:00:12,760 Speaker 1: was some ballad proposition when they kidding all right, at 4 00:00:12,920 --> 00:00:18,239 Speaker 1: LAX this morning, something strange happened. There's a carbon dioxide 5 00:00:18,320 --> 00:00:23,160 Speaker 1: leak and it four I guess four employees were injured. 6 00:00:24,320 --> 00:00:28,960 Speaker 1: One had fell into cardiac arrest, and Steve Gregory is 7 00:00:29,000 --> 00:00:30,920 Speaker 1: here with the story. Yeah, guys, you know, this is 8 00:00:30,960 --> 00:00:33,080 Speaker 1: a kind of a crazy story because you know how 9 00:00:33,520 --> 00:00:37,360 Speaker 1: rumors spread and information gets out there, and it gets 10 00:00:37,479 --> 00:00:40,760 Speaker 1: kind of complicated because no one really knows the true story. So, 11 00:00:40,800 --> 00:00:43,760 Speaker 1: as you mentioned, John, early this morning, there were four 12 00:00:43,800 --> 00:00:48,480 Speaker 1: subcontractors and they were construction workers that were in Terminal eight, 13 00:00:48,880 --> 00:00:51,280 Speaker 1: and they went to this hallway that's kind of behind 14 00:00:51,280 --> 00:00:54,080 Speaker 1: the baggage area, and at the end of these hallways 15 00:00:54,280 --> 00:00:56,920 Speaker 1: is a bunch of these electrical rooms. Now inside these 16 00:00:56,920 --> 00:01:01,040 Speaker 1: electrical rooms or fire suppression systems. And these suppression systems 17 00:01:01,080 --> 00:01:04,640 Speaker 1: are these very high, higher end, high tech ones that 18 00:01:04,760 --> 00:01:10,199 Speaker 1: deploy CO two and they deployed in large amounts enough 19 00:01:10,200 --> 00:01:12,160 Speaker 1: to where it sucks the oxygen now the room, so 20 00:01:12,240 --> 00:01:16,039 Speaker 1: no flames can ignite and spread so that's what happened. 21 00:01:16,080 --> 00:01:20,199 Speaker 1: These four workers, three men and one woman, were working 22 00:01:20,240 --> 00:01:23,639 Speaker 1: in this room. They said they heard a loud popping noise, 23 00:01:24,640 --> 00:01:27,200 Speaker 1: and people characterize it as an explosion. There was never 24 00:01:27,200 --> 00:01:33,399 Speaker 1: an explosion. And when minutes after the loud popping, the 25 00:01:33,520 --> 00:01:36,119 Speaker 1: three of them they realized they were not feeling well 26 00:01:36,160 --> 00:01:39,520 Speaker 1: because CO two is colorless and it's odorless. This is 27 00:01:39,600 --> 00:01:43,960 Speaker 1: carbon diox dioxide, different from carbon monox oh big time. Yeah. Yeah. 28 00:01:44,000 --> 00:01:48,280 Speaker 1: So they get into that room and when they start 29 00:01:48,360 --> 00:01:50,720 Speaker 1: not feeling well at all, three of them get out, 30 00:01:50,760 --> 00:01:54,480 Speaker 1: but the fourth guy collapses because literally the oxygen has 31 00:01:54,480 --> 00:01:57,320 Speaker 1: sucked out of his body. He has no oxygen, so 32 00:01:57,440 --> 00:01:59,400 Speaker 1: when he's trying to breathe in, he's breathing in carbon 33 00:01:59,400 --> 00:02:02,760 Speaker 1: dioxide in a very concentrated way, right, and this is 34 00:02:02,760 --> 00:02:06,440 Speaker 1: what people exhalexhale, right, yeah, And he collapsed and went 35 00:02:06,440 --> 00:02:09,440 Speaker 1: into cardiac arrest. So the other three got out called 36 00:02:09,520 --> 00:02:13,520 Speaker 1: nine one LAPD, whose station they actually have a unit 37 00:02:13,560 --> 00:02:16,680 Speaker 1: out there, kind of a sub office, if you will, 38 00:02:16,760 --> 00:02:20,200 Speaker 1: in addition to LAXPD, which are two different agencies. So 39 00:02:20,360 --> 00:02:22,840 Speaker 1: LAPD was able to get over there pretty quickly because 40 00:02:22,880 --> 00:02:25,480 Speaker 1: they're positioned way over by Terminal eight. They have a 41 00:02:25,480 --> 00:02:28,040 Speaker 1: trailer over there, and they got out over there and 42 00:02:28,080 --> 00:02:31,560 Speaker 1: they were able to start CPR until paramedics got there. Fortunately, 43 00:02:31,600 --> 00:02:33,360 Speaker 1: they got the guy to a hospital in Times in 44 00:02:33,360 --> 00:02:36,120 Speaker 1: his fifties and he was in critical condition. It was 45 00:02:36,160 --> 00:02:37,680 Speaker 1: touch and go there for a while, and but then 46 00:02:37,720 --> 00:02:40,480 Speaker 1: they got him up to speed where at least he 47 00:02:40,520 --> 00:02:43,120 Speaker 1: was breathing on his own. The other three workers were 48 00:02:43,160 --> 00:02:46,400 Speaker 1: treated at a hospital and released. Now the big question 49 00:02:46,520 --> 00:02:49,079 Speaker 1: is how did this happen and did they trigger something? 50 00:02:49,400 --> 00:02:52,799 Speaker 1: Was there a malfunction, So that's kind of the latest. 51 00:02:52,600 --> 00:02:55,040 Speaker 1: At no time, we're passengers in danger, That's what LA 52 00:02:55,080 --> 00:02:58,520 Speaker 1: Fire said, La City Fire. There was some disruption because 53 00:02:58,639 --> 00:03:01,040 Speaker 1: you know, obviously when you hear popping noises at an airport, 54 00:03:01,080 --> 00:03:03,840 Speaker 1: everyone kind of you know, on edge. So out of 55 00:03:03,840 --> 00:03:06,600 Speaker 1: an abundance of caution, they moved everyone from Terminal aid 56 00:03:06,600 --> 00:03:08,880 Speaker 1: over to Terminal seven until they could determine what happened. 57 00:03:09,280 --> 00:03:11,320 Speaker 1: And then it took about a couple hours, a couple 58 00:03:11,360 --> 00:03:13,600 Speaker 1: three hours before they started kind of get back into 59 00:03:13,639 --> 00:03:16,040 Speaker 1: normal motion and things. They did a brief ground stop 60 00:03:16,080 --> 00:03:19,960 Speaker 1: of airplanes. United was reporting some minor delays early on, 61 00:03:20,040 --> 00:03:21,960 Speaker 1: but then they got back to normal as well. It's 62 00:03:21,960 --> 00:03:24,480 Speaker 1: an interesting way to put out a fire. Haven't heard 63 00:03:24,480 --> 00:03:28,000 Speaker 1: of that particular method? We suck the oxygen out or 64 00:03:28,080 --> 00:03:31,480 Speaker 1: had the carbon dioxide overwhelmed the oxygen. Yeah, that is 65 00:03:31,520 --> 00:03:35,560 Speaker 1: in a lot of electrical places, production companies and studios. 66 00:03:36,040 --> 00:03:39,920 Speaker 1: They have these huge systems now where it deploys in there, 67 00:03:40,280 --> 00:03:42,320 Speaker 1: and for this very reason, you better not be in 68 00:03:42,320 --> 00:03:44,360 Speaker 1: that room when it's deployed because you won't have anything 69 00:03:44,400 --> 00:03:46,720 Speaker 1: to breathe, because they don't want the fire to have 70 00:03:46,760 --> 00:03:50,520 Speaker 1: anything to breathe. But it's a pretty sophisticated system, and 71 00:03:50,640 --> 00:03:52,600 Speaker 1: so what set it off? Yeah, we don't know whether 72 00:03:52,760 --> 00:03:56,160 Speaker 1: they did this accidentally or whether there's something else. Presumably 73 00:03:56,200 --> 00:03:58,600 Speaker 1: the loud popping noise is going to be some sort 74 00:03:58,600 --> 00:04:03,360 Speaker 1: of determining factor because if indeed they heard something like that, 75 00:04:03,360 --> 00:04:06,760 Speaker 1: that maybe there was a short, a spark or something 76 00:04:06,800 --> 00:04:10,440 Speaker 1: that backfired and caused this thing to deploy. And they 77 00:04:10,480 --> 00:04:13,160 Speaker 1: won't tell us what they were working on, so we 78 00:04:13,200 --> 00:04:15,200 Speaker 1: don't know if they were actually working on this system 79 00:04:15,800 --> 00:04:19,880 Speaker 1: when it malfunctioned, or whether they triggered something accidentally that 80 00:04:19,960 --> 00:04:23,159 Speaker 1: triggered the system is there and this has never happened before, 81 00:04:24,120 --> 00:04:26,880 Speaker 1: not to my knowledge, not at lax. And if it did, 82 00:04:26,960 --> 00:04:30,200 Speaker 1: certainly no one was injured. Does an alarm go off 83 00:04:30,240 --> 00:04:32,560 Speaker 1: to let everybody know, hey, you're gonna be at OX? 84 00:04:32,680 --> 00:04:35,679 Speaker 1: So well, an alarm goes off trigger. It's a fire alarm, 85 00:04:35,720 --> 00:04:38,560 Speaker 1: so it triggers like a central security system like it 86 00:04:38,600 --> 00:04:41,680 Speaker 1: would anybody else in any other building. But um, but 87 00:04:41,800 --> 00:04:44,279 Speaker 1: did did the four employees know that they have to run, 88 00:04:44,560 --> 00:04:46,159 Speaker 1: that they're going to be that? I don't know. I 89 00:04:46,200 --> 00:04:49,160 Speaker 1: don't know if there was any kind of a you know, 90 00:04:49,279 --> 00:04:52,239 Speaker 1: some sort of an audible signal inside of the room 91 00:04:53,200 --> 00:04:55,080 Speaker 1: or like a light blinking light, kind of like we 92 00:04:55,160 --> 00:04:57,880 Speaker 1: do here our fire alarms, the strobe lights. Yeah, but 93 00:04:58,160 --> 00:05:00,760 Speaker 1: it's to let them know of a specific danger sure 94 00:05:00,839 --> 00:05:03,320 Speaker 1: that in a matter of moments you can't breathe, you're 95 00:05:03,320 --> 00:05:06,799 Speaker 1: gonna die. I mean, I wonder if they all knew 96 00:05:06,839 --> 00:05:09,479 Speaker 1: that that was That's a that's a question that was 97 00:05:09,520 --> 00:05:14,120 Speaker 1: not asked or answered at the good question though, sense 98 00:05:14,160 --> 00:05:16,880 Speaker 1: of urgency? Right, I feel like you're getting a little nervous, John, 99 00:05:16,880 --> 00:05:18,680 Speaker 1: like you, well, do we have one of these in here? 100 00:05:18,760 --> 00:05:22,800 Speaker 1: I have one of those? Because they just put sprinklers 101 00:05:22,800 --> 00:05:27,160 Speaker 1: in or something. A great fire suppression technique unless you 102 00:05:27,200 --> 00:05:29,080 Speaker 1: happen to be in the room. Right. Well, this was 103 00:05:29,080 --> 00:05:31,880 Speaker 1: an electrical room where it can get pretty crazy quickly 104 00:05:31,920 --> 00:05:34,039 Speaker 1: if you have a fire. So they want something really 105 00:05:34,200 --> 00:05:37,720 Speaker 1: I guess thorough that immediately tamps it down. I'm thinking, okay, 106 00:05:37,760 --> 00:05:44,000 Speaker 1: so as we speak, Oh, yess yeah, I just said 107 00:05:44,000 --> 00:05:46,440 Speaker 1: the CO two is a fire retardant. It was set 108 00:05:46,480 --> 00:05:52,680 Speaker 1: off when the workers were doing some Brazing's a that's 109 00:05:52,680 --> 00:05:54,840 Speaker 1: a cooking term. Yeah, that is a cooking term. Well, no, 110 00:05:55,120 --> 00:05:58,240 Speaker 1: in these cases, it's probably welding or something. Oh you 111 00:05:58,320 --> 00:06:00,720 Speaker 1: got you got the computer over there looking at They 112 00:06:00,720 --> 00:06:04,080 Speaker 1: were brazen b R A Z I n G. That's 113 00:06:04,080 --> 00:06:07,640 Speaker 1: what I was just told by sourced. And there was 114 00:06:07,680 --> 00:06:09,920 Speaker 1: also an alarm inside. So that's how that's why the 115 00:06:10,240 --> 00:06:16,479 Speaker 1: three people were able to get out. Brazing versus soldering, Yeah, 116 00:06:16,520 --> 00:06:18,880 Speaker 1: I think I think cooking meat is br ai sc 117 00:06:19,200 --> 00:06:24,480 Speaker 1: right right, Uh, this is soldering soldering, it's soldering, it's 118 00:06:24,640 --> 00:06:28,680 Speaker 1: sold soldering. But there are key difference apparently some similarities. 119 00:06:28,680 --> 00:06:31,120 Speaker 1: Being brazen must be on an industrial level with an 120 00:06:31,120 --> 00:06:33,960 Speaker 1: alloy of copper and zinc and high temperature. Brazing is 121 00:06:34,000 --> 00:06:37,040 Speaker 1: a process which includes a filler metal which has a 122 00:06:37,200 --> 00:06:43,000 Speaker 1: liquidous above. So maybe they triggered the fire alarm naturally, Yeah, 123 00:06:43,200 --> 00:06:45,960 Speaker 1: with that heat that they needed to be a metal 124 00:06:46,080 --> 00:06:51,000 Speaker 1: joining process or metal items are joined together by melting 125 00:06:51,000 --> 00:06:54,960 Speaker 1: and flowing a filler metal into the joint. Oh okay, 126 00:06:55,040 --> 00:06:57,320 Speaker 1: So it sounds like I'll bet you. I mean, I'm 127 00:06:57,360 --> 00:06:59,600 Speaker 1: going out on a limb here, But it sounds like 128 00:06:59,640 --> 00:07:02,000 Speaker 1: maybe in the product, in the in the process of 129 00:07:02,000 --> 00:07:05,040 Speaker 1: their work, they triggered the alarm. Yeah, actually says here. 130 00:07:05,080 --> 00:07:08,920 Speaker 1: Brazing actually requires lower temperatures than soldering. That's why sometimes 131 00:07:08,920 --> 00:07:12,600 Speaker 1: people choose it. So maybe there's maybe it's sensitive enough 132 00:07:12,600 --> 00:07:15,640 Speaker 1: to be triggered by smoke, because soldering gives us smoke. Yes, 133 00:07:15,920 --> 00:07:17,800 Speaker 1: And if you're doing it on an industrial level with 134 00:07:17,840 --> 00:07:19,760 Speaker 1: all those different metals and stuff, I bet there's some 135 00:07:19,800 --> 00:07:23,400 Speaker 1: sort of smoke component. And these were contract workers, yeah, subcontractors, 136 00:07:24,440 --> 00:07:27,560 Speaker 1: and they were doing I exactly sure the job they 137 00:07:27,560 --> 00:07:35,120 Speaker 1: would do it in there, Well they were brazing. No, 138 00:07:35,240 --> 00:07:36,640 Speaker 1: I don't know what the I don't know what the 139 00:07:36,680 --> 00:07:39,280 Speaker 1: task was. Well, I think there's going to be new 140 00:07:39,320 --> 00:07:41,920 Speaker 1: procedures if this is what happened in terms of sending 141 00:07:41,960 --> 00:07:43,680 Speaker 1: people out to do a brazing job in a room 142 00:07:43,680 --> 00:07:46,480 Speaker 1: with the carbon dioxide fires a prisons. Yeah, well you 143 00:07:46,560 --> 00:07:48,800 Speaker 1: just got that first. It was brazing. The guys were 144 00:07:48,840 --> 00:07:52,280 Speaker 1: doing braising alright, breaking news from Steve grab All. Learned 145 00:07:52,280 --> 00:07:54,040 Speaker 1: a lot today which maybe you should just sit in 146 00:07:54,040 --> 00:07:55,800 Speaker 1: the room the whole afternoon. It just read these texts 147 00:07:55,800 --> 00:07:58,480 Speaker 1: that you get, you know what, It would be pretty entertaining. 148 00:07:58,520 --> 00:08:00,880 Speaker 1: He showed me some off the air so we could 149 00:08:00,920 --> 00:08:02,920 Speaker 1: be talking. You know, suddenly I gotta know one. Yeah, no, 150 00:08:03,000 --> 00:08:05,960 Speaker 1: he gets instant information. Here's a panel of experts. Well, 151 00:08:05,960 --> 00:08:07,920 Speaker 1: the thing is is most of my experts are all 152 00:08:07,920 --> 00:08:11,600 Speaker 1: listening to you. Yeah. Well it's a good cycle, right, 153 00:08:11,640 --> 00:08:14,560 Speaker 1: it's a great cycle. It enhances our knowledge. So thank 154 00:08:14,600 --> 00:08:16,280 Speaker 1: you very much to my source out there. He knows 155 00:08:16,320 --> 00:08:18,640 Speaker 1: who he is, all right, Thanks right, thank you. Steve 156 00:08:18,680 --> 00:08:22,440 Speaker 1: Gregor recovering the story out of Lax where a number 157 00:08:22,480 --> 00:08:26,040 Speaker 1: of workers were felled by carbon dioxide, including one man 158 00:08:26,080 --> 00:08:28,560 Speaker 1: that apparently is now breathing on his own and his 159 00:08:28,640 --> 00:08:31,960 Speaker 1: condition has been upgraded. It's in better shape. But he 160 00:08:32,040 --> 00:08:34,719 Speaker 1: was almost without a pulse when they found him. We 161 00:08:34,840 --> 00:08:37,600 Speaker 1: got more coming up, John and Ken. Oh what's next 162 00:08:37,720 --> 00:08:39,800 Speaker 1: is a keyword? You want to hear the keyword, and 163 00:08:39,840 --> 00:08:42,240 Speaker 1: then you want to follow John's instructions to possibly win 164 00:08:42,360 --> 00:08:45,040 Speaker 1: some money. Stay tuned for that. Kf I Am six 165 00:08:45,200 --> 00:08:48,839 Speaker 1: forty Live everywhere on the iHeartRadio app All Right, big 166 00:08:48,880 --> 00:08:52,760 Speaker 1: story over the weekend internationally was the stampede in South 167 00:08:52,840 --> 00:08:56,800 Speaker 1: Korea that has killed more than one hundred and fifty people. 168 00:08:57,400 --> 00:09:00,079 Speaker 1: We have learned this afternoon that the niece of a 169 00:09:00,080 --> 00:09:04,520 Speaker 1: Republican congressman from Ohio was among those who were in 170 00:09:04,559 --> 00:09:10,560 Speaker 1: the crowd and apparently crushed. Congressman Brad Wendstrup announced at 171 00:09:10,600 --> 00:09:13,800 Speaker 1: his niece is more than one hundred and fifty people killed. 172 00:09:14,480 --> 00:09:17,240 Speaker 1: She apparently was a student at the University of Kentucky, 173 00:09:17,320 --> 00:09:21,280 Speaker 1: but she was studying abroad in South Korea, and the 174 00:09:21,400 --> 00:09:24,600 Speaker 1: family has learned that she was one of those people 175 00:09:24,600 --> 00:09:28,280 Speaker 1: that lost their life. How this happens is explained in 176 00:09:28,320 --> 00:09:31,880 Speaker 1: a fascinating story in the Washington Post. I mean, we 177 00:09:32,000 --> 00:09:34,880 Speaker 1: all know the feeling of being in a very close 178 00:09:34,960 --> 00:09:38,120 Speaker 1: bunchee crowd, maybe trying to get in or out of somewhere, 179 00:09:38,120 --> 00:09:41,280 Speaker 1: whether it's an amusement park or for me, it's it's 180 00:09:41,360 --> 00:09:44,599 Speaker 1: freaking so far stadium, because you have to if you 181 00:09:44,840 --> 00:09:46,600 Speaker 1: if you're down in the bowl, you have to go 182 00:09:46,720 --> 00:09:48,880 Speaker 1: up to get out, and everybody kind of merges together 183 00:09:48,960 --> 00:09:52,320 Speaker 1: to get to escalators, and they could get really and 184 00:09:52,360 --> 00:09:54,240 Speaker 1: then there's somebody drunk people too. You want to just 185 00:09:54,440 --> 00:09:56,920 Speaker 1: scream to get out of there. But and the escalators 186 00:09:57,040 --> 00:10:00,640 Speaker 1: at Sulfi get way overloaded and there aren't that many 187 00:10:00,679 --> 00:10:05,720 Speaker 1: of them. The internals of Sofi Stadium, like the concourse, 188 00:10:06,280 --> 00:10:09,199 Speaker 1: I'm really puzzled by, like a lot of it doesn't 189 00:10:09,200 --> 00:10:12,400 Speaker 1: make sense to me. I've been there twice now and 190 00:10:12,400 --> 00:10:15,680 Speaker 1: I just don't I don't get it. I still can't 191 00:10:15,679 --> 00:10:18,840 Speaker 1: believe they finished it that way. What they were doing 192 00:10:19,160 --> 00:10:22,080 Speaker 1: few or a few games is they stop the line 193 00:10:22,120 --> 00:10:24,520 Speaker 1: getting on the escalator, so there's a little breathing room 194 00:10:24,559 --> 00:10:28,560 Speaker 1: between groups. They do that sometimes. But you know what 195 00:10:28,679 --> 00:10:33,000 Speaker 1: happened here. It's a hundred thousand people were crushed together 196 00:10:33,040 --> 00:10:38,840 Speaker 1: in this area of Seoul, South Korea, because they were 197 00:10:38,880 --> 00:10:43,320 Speaker 1: into heavy lockdowns for a couple of years there this 198 00:10:43,880 --> 00:10:45,360 Speaker 1: Most of the people that die by the way in 199 00:10:45,400 --> 00:10:48,319 Speaker 1: their twenties and thirties. At least four of them were 200 00:10:48,320 --> 00:10:51,400 Speaker 1: even teenagers. And they think there was at least two 201 00:10:51,440 --> 00:10:54,280 Speaker 1: dozen foreign citizens as I mentioned a couple of Americans, 202 00:10:54,800 --> 00:10:59,800 Speaker 1: Kennesau State University student named Stephen Blessie apparently also lost 203 00:10:59,800 --> 00:11:02,440 Speaker 1: his life. So they were out, you know, for a 204 00:11:02,480 --> 00:11:06,480 Speaker 1: good time. I whether social media called them to this 205 00:11:06,559 --> 00:11:09,160 Speaker 1: place or it was a big announcement that this was 206 00:11:09,280 --> 00:11:13,439 Speaker 1: going to be a gathering place that night, I don't 207 00:11:13,480 --> 00:11:16,000 Speaker 1: really know, but yeah, I mean it was. It was. 208 00:11:16,120 --> 00:11:22,120 Speaker 1: It was a Halloween celebration. It's a really big nightlife district. 209 00:11:22,120 --> 00:11:26,160 Speaker 1: They've got bars, restaurants, nightclubs, all that. There was live 210 00:11:26,280 --> 00:11:30,960 Speaker 1: stream of this and the real problem was there was 211 00:11:31,000 --> 00:11:35,560 Speaker 1: a narrow alleyway next to something called the Hamilton's Hotel, 212 00:11:36,320 --> 00:11:39,679 Speaker 1: and that's where many people got trapped in the crush 213 00:11:39,720 --> 00:11:45,360 Speaker 1: in an alley next to the hotel. And the way 214 00:11:45,400 --> 00:11:50,240 Speaker 1: this works if you're like a smaller person. Sorry Deborah Mark, 215 00:11:50,360 --> 00:11:53,160 Speaker 1: but that can be bad news when there's a crush 216 00:11:53,320 --> 00:11:56,440 Speaker 1: because it's more difficult to breathe when all those bodies 217 00:11:56,440 --> 00:11:59,160 Speaker 1: are pushed together and you're not tall enough to suck 218 00:11:59,240 --> 00:12:02,760 Speaker 1: air out from the from your from the top. Another 219 00:12:02,800 --> 00:12:06,280 Speaker 1: thing to worry about, things you'd get lost down below. Yeah, 220 00:12:06,320 --> 00:12:08,840 Speaker 1: that is another thing to panic. Yeah, well I'm not 221 00:12:08,840 --> 00:12:10,800 Speaker 1: going to panic, but I'm not going to put myself 222 00:12:10,840 --> 00:12:15,199 Speaker 1: in a situation like that. I'll try not. A live 223 00:12:15,320 --> 00:12:18,200 Speaker 1: stream that began at seven forty one pm shows the 224 00:12:18,240 --> 00:12:21,760 Speaker 1: top of the alleyway, the intersections crowded, but people could 225 00:12:21,800 --> 00:12:26,080 Speaker 1: still walk through to get to the street, although slowly. However, 226 00:12:26,160 --> 00:12:28,520 Speaker 1: they talked to a professor Believe it or not, John 227 00:12:28,679 --> 00:12:32,120 Speaker 1: Here's a guy that studies these types of events, including 228 00:12:32,160 --> 00:12:36,200 Speaker 1: something called the twenty ten Love Parade disaster. He said, 229 00:12:36,240 --> 00:12:39,360 Speaker 1: despite some narrow passages, the situation appears to be altogether 230 00:12:39,800 --> 00:12:43,000 Speaker 1: not or not yet critical, but he noted that pedestrians 231 00:12:43,000 --> 00:12:45,720 Speaker 1: can be seen temporarily halted at times in the footage. 232 00:12:46,240 --> 00:12:48,960 Speaker 1: Then another live stream comes. He's looking at nine twenty 233 00:12:48,960 --> 00:12:52,520 Speaker 1: one pm, about an hour to the first call to authorities, 234 00:12:53,160 --> 00:12:57,320 Speaker 1: and another professor said, this is this high density crowd. 235 00:12:57,679 --> 00:12:59,560 Speaker 1: They were still able to move, but there were signs 236 00:12:59,559 --> 00:13:02,760 Speaker 1: of trouble. You can see the static crowd and people 237 00:13:02,800 --> 00:13:06,439 Speaker 1: moving towards that area. It's an indication of a potential problem, 238 00:13:06,640 --> 00:13:09,840 Speaker 1: and it looks like looking at the video, they're trying 239 00:13:09,840 --> 00:13:12,480 Speaker 1: to move in one direction. I was wondering if sometimes 240 00:13:12,480 --> 00:13:14,320 Speaker 1: some people going one way in the alley and people 241 00:13:14,360 --> 00:13:16,200 Speaker 1: going the other way in the alley. I think that's 242 00:13:16,240 --> 00:13:18,559 Speaker 1: what happened, because the New York Times has an interview 243 00:13:18,800 --> 00:13:22,640 Speaker 1: with a seventeen year old girl, Kim So Jong. Yeah, 244 00:13:22,679 --> 00:13:26,520 Speaker 1: and she said it was a narrow, hilly alley next 245 00:13:26,559 --> 00:13:29,600 Speaker 1: to the Hamilton Hotel. We entered the alley at eight o'clock. 246 00:13:29,679 --> 00:13:31,520 Speaker 1: There were so many people we could hardly take a 247 00:13:31,520 --> 00:13:35,160 Speaker 1: step forward. We gave up an hour later and tried 248 00:13:35,200 --> 00:13:37,199 Speaker 1: to turn around to go home, but we couldn't move 249 00:13:37,240 --> 00:13:39,960 Speaker 1: in the other direction either. There were people pushing up 250 00:13:40,040 --> 00:13:43,199 Speaker 1: from behind us, and people in front of us pushing 251 00:13:43,360 --> 00:13:45,800 Speaker 1: down the hill in the other direction. And then a 252 00:13:45,800 --> 00:13:48,800 Speaker 1: group of young men made a hard shove down the hill, 253 00:13:49,160 --> 00:13:52,680 Speaker 1: chanting push push. Yeah. You know they have a term 254 00:13:52,920 --> 00:13:56,960 Speaker 1: crowd turbulence. Yeah, that's when individuals are carried by waves 255 00:13:57,000 --> 00:13:59,439 Speaker 1: of movement that ripple through a crowd. In other words, 256 00:13:59,559 --> 00:14:01,240 Speaker 1: you may not he'd be walking with your features, just 257 00:14:01,240 --> 00:14:04,200 Speaker 1: gonna get lifted and pushed. Yeah, So these young guys 258 00:14:05,559 --> 00:14:08,840 Speaker 1: shoved people. A person in front of me slipped and fell, 259 00:14:09,000 --> 00:14:12,160 Speaker 1: pushing me down as well, said Kim. People behind me 260 00:14:12,800 --> 00:14:16,640 Speaker 1: felt like dominoes. There were people beneath me, people falling 261 00:14:16,640 --> 00:14:18,840 Speaker 1: on top of me. I could hardly breathe. We shouted 262 00:14:18,840 --> 00:14:21,240 Speaker 1: and screamed for help, but the music was so out 263 00:14:21,280 --> 00:14:24,960 Speaker 1: in the alley, our shouts were drowned out. So I 264 00:14:24,960 --> 00:14:26,800 Speaker 1: don't know what that those guys were doing. Were they 265 00:14:26,840 --> 00:14:29,200 Speaker 1: impatient that they think it was funny to try to 266 00:14:29,240 --> 00:14:32,640 Speaker 1: push the crowd along down the hill, But they may 267 00:14:32,680 --> 00:14:37,240 Speaker 1: have been the ignition for this disaster. This is Soul, 268 00:14:37,360 --> 00:14:41,040 Speaker 1: South Korea's I think it's pronounced it Tewan district. You know, 269 00:14:41,080 --> 00:14:43,480 Speaker 1: it used to be the red light district. Years ago. 270 00:14:44,040 --> 00:14:46,120 Speaker 1: There was a military base there and that's where the 271 00:14:46,120 --> 00:14:49,240 Speaker 1: soldiers would go to find some hookers and stuff. But 272 00:14:49,280 --> 00:14:51,400 Speaker 1: they cleaned it up and now it's become more of 273 00:14:51,440 --> 00:14:54,720 Speaker 1: a trendy place. That's a subscribed here for foreigners and 274 00:14:54,840 --> 00:14:58,760 Speaker 1: foreign cuisine in South Korea's capital, so people do like 275 00:14:58,880 --> 00:15:03,640 Speaker 1: to gather their potential young people. It's pronounced e Taywan taywan, 276 00:15:05,080 --> 00:15:08,160 Speaker 1: so it's a popular place for nightlife and that became 277 00:15:08,200 --> 00:15:12,000 Speaker 1: the Halloween go to place. The other night they drink, 278 00:15:12,080 --> 00:15:16,320 Speaker 1: party and eat. It says here, And there was one 279 00:15:16,360 --> 00:15:21,080 Speaker 1: report another thing there was not a lot of police presents. No. Well, 280 00:15:21,120 --> 00:15:24,600 Speaker 1: that's what Kim says. The alley was crowded and noisy. 281 00:15:24,720 --> 00:15:28,000 Speaker 1: People didn't seem to know what was happening. Several feet away, 282 00:15:28,320 --> 00:15:31,840 Speaker 1: people were filming the crowd with smartphones. Some were putting 283 00:15:31,880 --> 00:15:36,440 Speaker 1: on Halloween cosmetics, others shouting at bar owners asking when 284 00:15:36,440 --> 00:15:38,920 Speaker 1: they could get in. A few cops who rushed to 285 00:15:38,920 --> 00:15:41,400 Speaker 1: the scene, blowing their whistles, tried to control the crowd, 286 00:15:41,760 --> 00:15:44,400 Speaker 1: but to no avail. She didn't even know how deadly 287 00:15:44,480 --> 00:15:47,240 Speaker 1: the whole thing had been until she was on the 288 00:15:47,280 --> 00:15:50,480 Speaker 1: subway and she checked the news on her phone. Yeah, 289 00:15:50,520 --> 00:15:52,680 Speaker 1: I saw a story that people continued to party at 290 00:15:52,680 --> 00:15:55,960 Speaker 1: clubs nearby as late as five am, unaware of the 291 00:15:56,000 --> 00:15:59,240 Speaker 1: tragedy that happened not that far away in the neighborhood. 292 00:16:00,520 --> 00:16:04,280 Speaker 1: It says here that Halloween's a big deal in South 293 00:16:04,400 --> 00:16:08,360 Speaker 1: Korea because it's a conservative society, So you have a 294 00:16:08,440 --> 00:16:12,040 Speaker 1: chance on that night to wear expressive and revealing outfits 295 00:16:12,080 --> 00:16:16,160 Speaker 1: that you probably couldn't otherwise wear. The holidays a rare 296 00:16:16,200 --> 00:16:20,240 Speaker 1: opportunity for those who consider themselves insa Korean slang for 297 00:16:20,280 --> 00:16:22,360 Speaker 1: someone who's extroverted, likes to have fun with a group 298 00:16:22,360 --> 00:16:26,680 Speaker 1: of people, to party in exotic outfits, so you'll like 299 00:16:26,760 --> 00:16:28,760 Speaker 1: to use that night to take photos of yourself and 300 00:16:28,760 --> 00:16:33,040 Speaker 1: really just go wild. I love cultural rules. Yes we're 301 00:16:33,160 --> 00:16:36,160 Speaker 1: very introverted much of the year, but one day out 302 00:16:36,160 --> 00:16:38,880 Speaker 1: of the whole year, we'll dress in costumes. You know, 303 00:16:38,920 --> 00:16:41,920 Speaker 1: it's common in Asian cultures not to stand out. You're 304 00:16:41,920 --> 00:16:45,560 Speaker 1: not supposed to so right, you're supposed to more conform 305 00:16:45,680 --> 00:16:51,640 Speaker 1: and don't conform. I don't really understand conformist cultures. I 306 00:16:51,680 --> 00:16:54,000 Speaker 1: don't know why people feel the need to do what 307 00:16:54,040 --> 00:16:56,400 Speaker 1: everybody else is doing and they're afraid that they might 308 00:16:56,440 --> 00:16:59,760 Speaker 1: be judged for not because it leads to order. It's 309 00:16:59,800 --> 00:17:03,080 Speaker 1: the fascist way, I know. It's it's just so strange. 310 00:17:03,600 --> 00:17:05,440 Speaker 1: You will, you will be, and you will get in line. 311 00:17:06,080 --> 00:17:08,560 Speaker 1: All right. When we come back, we're gonna talk about 312 00:17:08,600 --> 00:17:11,600 Speaker 1: the United States Supreme Court Today they finally heard it. Boy, 313 00:17:11,640 --> 00:17:15,399 Speaker 1: this has been around since twenty fourteen. Lawsuits against Harvard 314 00:17:15,560 --> 00:17:20,679 Speaker 1: University and the University of North Carolina over affirmative action 315 00:17:20,760 --> 00:17:23,520 Speaker 1: or race based admissions. Will explain what they're looking at. 316 00:17:23,800 --> 00:17:26,520 Speaker 1: John and Ken k if I am six forty live 317 00:17:26,600 --> 00:17:30,479 Speaker 1: everywhere on the iHeartRadio app. Hey Mike, glad you can 318 00:17:30,560 --> 00:17:33,520 Speaker 1: join me for some great seafood me too. Wait, why 319 00:17:33,560 --> 00:17:35,680 Speaker 1: are you dressed in fishing gear? You say we were 320 00:17:35,720 --> 00:17:38,720 Speaker 1: going out to catch great seafood? Right, yes to Popeyes? 321 00:17:38,880 --> 00:17:41,399 Speaker 1: Do you even know how to fish? No? I thought you. 322 00:17:41,880 --> 00:17:44,800 Speaker 1: Oh yeah, I can catch you pretty good seafood at Popeyes. 323 00:17:45,080 --> 00:17:47,680 Speaker 1: Let's go. Let Popeyes do the fishing while you enjoy 324 00:17:47,720 --> 00:17:51,200 Speaker 1: our delicious signature seafood. Get Popeyes flounder fish, saying what's 325 00:17:51,200 --> 00:17:53,800 Speaker 1: your shrimp tackle box? Before they're gone? Limited time at 326 00:17:53,800 --> 00:18:01,160 Speaker 1: participating US restaurants. Oh. Later on Friday, during the Harvey 327 00:18:01,200 --> 00:18:04,000 Speaker 1: Weinstein trial, the jury had to see pictures of his 328 00:18:05,040 --> 00:18:09,400 Speaker 1: of his genitalia. And there's somebody that testified today. We'll 329 00:18:09,400 --> 00:18:12,199 Speaker 1: get into this later on who said this is a 330 00:18:12,200 --> 00:18:15,320 Speaker 1: bit of a surprise. They were assaulted twice seventeen years 331 00:18:15,320 --> 00:18:20,000 Speaker 1: apart by Weinstein. An accuser that testified, So we'll tell 332 00:18:20,000 --> 00:18:22,800 Speaker 1: you all about that. How does that happen? That is 333 00:18:22,880 --> 00:18:28,800 Speaker 1: weirdly weird. I know, some of some of these stories 334 00:18:30,720 --> 00:18:34,720 Speaker 1: are really puzzling to me. I don't get it. Which 335 00:18:34,760 --> 00:18:37,600 Speaker 1: somebody has raped you or sexually assaulted How do you 336 00:18:37,720 --> 00:18:43,560 Speaker 1: end up in a second situation with them? I don't know. 337 00:18:44,760 --> 00:18:46,159 Speaker 1: I have no idea. I'm going to look at the 338 00:18:46,160 --> 00:18:49,640 Speaker 1: story and see if there's some explanation from the Winnes. 339 00:18:49,680 --> 00:18:53,639 Speaker 1: Don't you want to see those pictures? No, of his 340 00:18:53,760 --> 00:18:56,920 Speaker 1: deformed genitalia, well because of this real you want to 341 00:18:56,920 --> 00:18:59,160 Speaker 1: see what's in his thigh? Well, because yeah, they said 342 00:18:59,200 --> 00:19:03,560 Speaker 1: they were relocal aded to his thigh his jewels, and 343 00:19:03,600 --> 00:19:05,320 Speaker 1: I just want to see how they do that, how 344 00:19:05,320 --> 00:19:09,399 Speaker 1: does it work? Just part of your fascinating curiosity of 345 00:19:09,440 --> 00:19:13,359 Speaker 1: the things. I'm fascinated by the human anatomy. I find 346 00:19:13,359 --> 00:19:17,560 Speaker 1: the human anatomy discussioning and fascinating. The US Supreme Court 347 00:19:17,760 --> 00:19:21,200 Speaker 1: is looking at an affirmative action case. It has been 348 00:19:21,240 --> 00:19:25,080 Speaker 1: banging around for years and apparently the lower Court's ruled 349 00:19:25,080 --> 00:19:27,919 Speaker 1: in favor of Harvard in the University of North Carolina, 350 00:19:28,040 --> 00:19:30,520 Speaker 1: but the Supreme Court decided to take on the issue. 351 00:19:31,359 --> 00:19:34,760 Speaker 1: And you know what helps the wild card. Chief Justice 352 00:19:34,840 --> 00:19:37,760 Speaker 1: Roberts he's been fighting affirmative action since he was in 353 00:19:37,760 --> 00:19:40,920 Speaker 1: the Reagan administration many years ago. Not a big fan 354 00:19:41,000 --> 00:19:43,200 Speaker 1: of affirmative action, and sometimes he can be a vote 355 00:19:43,240 --> 00:19:48,000 Speaker 1: that's a little tricky. So here's just a statistic for you. 356 00:19:48,920 --> 00:19:51,600 Speaker 1: How many people do you think applied to Harvard to 357 00:19:51,640 --> 00:19:54,840 Speaker 1: be part of the class of twenty twenty six, I 358 00:19:54,920 --> 00:19:58,280 Speaker 1: don't know. The answer is sixty one thousand, how many 359 00:19:58,359 --> 00:20:02,440 Speaker 1: got in one thousand, nine and fifty four. You can 360 00:20:02,520 --> 00:20:05,040 Speaker 1: get an idea how selective Harvard is. A fifty nine 361 00:20:05,080 --> 00:20:09,000 Speaker 1: thousand people were rejected. There's a class. There's also a 362 00:20:09,119 --> 00:20:11,159 Speaker 1: change in the culture. And since I went through this 363 00:20:11,280 --> 00:20:14,120 Speaker 1: three times and I ended up talking with a lot 364 00:20:14,119 --> 00:20:18,960 Speaker 1: of people involved in the system, is that I would 365 00:20:18,960 --> 00:20:22,240 Speaker 1: call it to what the hell philosophy A lot of 366 00:20:22,400 --> 00:20:27,359 Speaker 1: parents would get forced their kids to. I don't know 367 00:20:27,359 --> 00:20:30,800 Speaker 1: if Harvard takes the common application, but some years ago 368 00:20:30,880 --> 00:20:34,080 Speaker 1: a lot of universities agreed on a common application. So 369 00:20:34,119 --> 00:20:37,280 Speaker 1: you fill that one out online and that works for 370 00:20:38,000 --> 00:20:44,280 Speaker 1: hundreds of schools, and so that dramatically increased the total 371 00:20:44,359 --> 00:20:47,720 Speaker 1: number of applicants to any particular school, which all the 372 00:20:47,800 --> 00:20:52,760 Speaker 1: schools liked because they liked to brag how selective they are. See, 373 00:20:52,760 --> 00:20:56,040 Speaker 1: they want to take in sixty thousand applicants and only 374 00:20:56,080 --> 00:21:00,960 Speaker 1: approve two thousands, because you know, it's it's like a 375 00:21:01,080 --> 00:21:05,679 Speaker 1: nightclub that as a velvet rope line that's keeping people 376 00:21:05,680 --> 00:21:09,600 Speaker 1: out in the street. Right. The more exclusive your image is, 377 00:21:09,840 --> 00:21:12,760 Speaker 1: the more people want to come the higher you can 378 00:21:12,840 --> 00:21:18,920 Speaker 1: raise the tuition rates and between that and parents becoming maniacal. Right, 379 00:21:18,960 --> 00:21:22,160 Speaker 1: once US News and World Reports started this, they listed 380 00:21:22,200 --> 00:21:25,480 Speaker 1: the colleges numerically, what's the best school? Right, Harvard would 381 00:21:25,480 --> 00:21:28,160 Speaker 1: be first. Well, a lot of want to be parents, 382 00:21:28,359 --> 00:21:30,120 Speaker 1: not want to be parents, but a lot of parents 383 00:21:31,240 --> 00:21:33,800 Speaker 1: had this want to be idea that their kids should 384 00:21:33,800 --> 00:21:36,720 Speaker 1: be in the ivy leagues. So they forced their kids 385 00:21:36,760 --> 00:21:39,160 Speaker 1: to apply when you know, they got a two point 386 00:21:39,200 --> 00:21:42,280 Speaker 1: six average, so of course they're going to get rejected. 387 00:21:43,880 --> 00:21:48,920 Speaker 1: So the basis of the case against Harvard and University 388 00:21:48,960 --> 00:21:52,320 Speaker 1: of North Carolina is that a lot of it deals, 389 00:21:52,440 --> 00:21:57,560 Speaker 1: especially with Harvard, with Asian students who felt like despite 390 00:21:58,160 --> 00:22:01,560 Speaker 1: very good academic scores and test scores, they were not 391 00:22:01,640 --> 00:22:06,520 Speaker 1: admitted to the school, whereas others of different races were 392 00:22:06,600 --> 00:22:10,960 Speaker 1: given preference so that Harvard could diversify its student body. 393 00:22:12,440 --> 00:22:18,240 Speaker 1: It's Harvard's argument that they want a strong, diverse student 394 00:22:18,320 --> 00:22:22,000 Speaker 1: body so people can experience people's from all sorts of 395 00:22:22,040 --> 00:22:27,840 Speaker 1: different backgrounds. Now, the question is how do you do that. Well, 396 00:22:27,880 --> 00:22:31,159 Speaker 1: many selective colleges listen to this take a holistic and 397 00:22:31,200 --> 00:22:34,960 Speaker 1: that's what Harvard says they do admissions review process that 398 00:22:35,000 --> 00:22:40,480 Speaker 1: takes into consideration not only your academic credentials, your extracurricular achievements, recommendations, 399 00:22:40,480 --> 00:22:43,080 Speaker 1: as well as an applicant's background. The goal is to 400 00:22:43,160 --> 00:22:45,520 Speaker 1: ensure they enroll a mix of students whose life experiences 401 00:22:45,520 --> 00:22:49,520 Speaker 1: and outlooks can enrich the educational opportunities of their classmates. 402 00:22:50,800 --> 00:22:54,680 Speaker 1: And one of the things being contested here it was 403 00:22:54,720 --> 00:22:57,440 Speaker 1: like a student group that filed this lawsuit against Harvard, 404 00:22:57,880 --> 00:23:01,400 Speaker 1: is that when it came to Asian students, they apparently 405 00:23:02,000 --> 00:23:07,000 Speaker 1: didn't do well. Um like a almost a personality kind 406 00:23:07,040 --> 00:23:09,960 Speaker 1: of Yeah, that's what it is. Category. Nobody really wants 407 00:23:09,960 --> 00:23:12,480 Speaker 1: to say out loud what it is, but there's a 408 00:23:12,520 --> 00:23:16,200 Speaker 1: lot of elite colleges that don't like what they consider 409 00:23:16,280 --> 00:23:22,760 Speaker 1: to be the Asian personality because those kids are they 410 00:23:22,880 --> 00:23:26,359 Speaker 1: work hard, They work like crazy, they study long hours, 411 00:23:26,400 --> 00:23:29,240 Speaker 1: they spend Saturday nights in the library studying. They're not 412 00:23:30,160 --> 00:23:33,000 Speaker 1: they're not necessarily the crowd that's a whooping and hollering 413 00:23:34,119 --> 00:23:37,679 Speaker 1: at the fraternities and the football games. Right that that 414 00:23:37,880 --> 00:23:41,720 Speaker 1: that that's that, That's what people on the inside say. Now, 415 00:23:41,720 --> 00:23:44,040 Speaker 1: they can't say that out loud because it doesn't it 416 00:23:44,040 --> 00:23:47,560 Speaker 1: doesn't sound good, doesn't. What they're doing is they're stereotyping 417 00:23:47,760 --> 00:23:51,960 Speaker 1: a personality on an entire culture. And so what they 418 00:23:52,000 --> 00:23:57,000 Speaker 1: want they want more of the traditional college personality. Yeah, 419 00:23:57,040 --> 00:24:04,600 Speaker 1: which they runs headlong into their numerical SAT score criteria. Right, 420 00:24:05,520 --> 00:24:08,360 Speaker 1: the challengers alleged Asians were admitted at a lower rate 421 00:24:08,400 --> 00:24:11,640 Speaker 1: than even whites, even though their overall academic scores were 422 00:24:11,680 --> 00:24:14,840 Speaker 1: definitely better. All Right, So the question is, especially in 423 00:24:14,840 --> 00:24:17,239 Speaker 1: a place like Harvard, what do you want? Do you 424 00:24:17,240 --> 00:24:22,160 Speaker 1: want the kids who perform the best on the testing 425 00:24:22,359 --> 00:24:29,200 Speaker 1: intellectually or do you want this personality test which seems 426 00:24:29,240 --> 00:24:35,560 Speaker 1: to discriminate against the Asian culture. Yes, they consider an 427 00:24:35,600 --> 00:24:39,439 Speaker 1: applicant's background, overcoming hardship growing up with grandparents who are 428 00:24:39,480 --> 00:24:42,240 Speaker 1: taking care of a younger sibling, otherwise making the most 429 00:24:42,280 --> 00:24:45,280 Speaker 1: of limited resources, the mission officers say they can spot 430 00:24:45,320 --> 00:24:49,040 Speaker 1: other candidates with potential and achieve the aim for educational 431 00:24:49,080 --> 00:24:53,000 Speaker 1: benefits of a diverse class. In other words, they're saying 432 00:24:53,119 --> 00:24:55,240 Speaker 1: that they wanted to do something for students that didn't 433 00:24:55,240 --> 00:24:59,919 Speaker 1: have the opportunity, for say, tutoring aid. Coming from a 434 00:25:00,040 --> 00:25:02,800 Speaker 1: wealthier family, you can get all sorts of help with 435 00:25:02,880 --> 00:25:05,720 Speaker 1: your with your education, and they think that these students 436 00:25:05,720 --> 00:25:08,120 Speaker 1: are probably just as bright, they just have not had 437 00:25:09,320 --> 00:25:11,600 Speaker 1: the chance to show that because if they're more limited 438 00:25:11,640 --> 00:25:15,680 Speaker 1: economic background, that's the and I and I I understand 439 00:25:15,720 --> 00:25:22,440 Speaker 1: that too, but you know, they they kind of these universities. 440 00:25:23,040 --> 00:25:25,840 Speaker 1: Have I heard this? I mean I went, we went, 441 00:25:25,880 --> 00:25:28,560 Speaker 1: I went to a number of these, you know, seminars 442 00:25:28,600 --> 00:25:31,480 Speaker 1: that the school's put up how to get your kid in. 443 00:25:32,080 --> 00:25:36,040 Speaker 1: And you have people who talk in like woke gobbledegook, 444 00:25:36,080 --> 00:25:38,800 Speaker 1: and then you have people who talk bluntly. And the 445 00:25:38,840 --> 00:25:41,480 Speaker 1: ones who talk bluntly will tell you if your kid 446 00:25:41,600 --> 00:25:45,960 Speaker 1: doesn't have X number on the SAT, forget about it, 447 00:25:46,280 --> 00:25:48,359 Speaker 1: don't waste your money, you're not going to get in. 448 00:25:49,760 --> 00:25:52,920 Speaker 1: And then there's the woke gobbledegook who starts talking about 449 00:25:52,960 --> 00:25:58,800 Speaker 1: a holistic portfolio of life experiences. And you know, every 450 00:25:59,080 --> 00:26:01,719 Speaker 1: everybody has their story. It doesn't fit into a box. 451 00:26:02,119 --> 00:26:05,439 Speaker 1: Maybe you know, most people don't come from wealth. You know, 452 00:26:05,480 --> 00:26:08,000 Speaker 1: the wealthy people really never have anything to worry about 453 00:26:08,040 --> 00:26:12,119 Speaker 1: with their kids. But the people and and and the 454 00:26:12,160 --> 00:26:16,600 Speaker 1: poorer people can get big scholarships, and there there is 455 00:26:17,160 --> 00:26:20,679 Speaker 1: a preference for minorities. Okay, but if you're in the middle. 456 00:26:21,160 --> 00:26:23,159 Speaker 1: You're in the middle. I remember my parents were like 457 00:26:23,240 --> 00:26:25,439 Speaker 1: this too. You know, you make too much money to 458 00:26:25,440 --> 00:26:28,679 Speaker 1: get scholarships, not enough money to afford a school. You 459 00:26:28,760 --> 00:26:31,320 Speaker 1: don't really have a hard luck story because most people 460 00:26:31,400 --> 00:26:34,080 Speaker 1: don't have hard luck stories. Again, most people are middle class. 461 00:26:35,200 --> 00:26:38,640 Speaker 1: Most most people don't have parents who died younger, any 462 00:26:38,920 --> 00:26:42,159 Speaker 1: any of those tear jerking stories that they look for 463 00:26:42,400 --> 00:26:45,919 Speaker 1: in the in the essay that you're write, you're just 464 00:26:45,960 --> 00:26:48,960 Speaker 1: a regular person. If you're more regularly you are, the 465 00:26:49,080 --> 00:26:53,560 Speaker 1: more the world is stacked against you in terms of 466 00:26:53,560 --> 00:26:57,520 Speaker 1: college admissions. By the way, what comes around goes around. 467 00:26:57,640 --> 00:27:00,360 Speaker 1: Some of the justices today and the more conservative were 468 00:27:00,359 --> 00:27:04,399 Speaker 1: really questioning the attorneys for Harvard, and one of the 469 00:27:04,440 --> 00:27:08,200 Speaker 1: things that they brought up was the fact that Harvard 470 00:27:08,280 --> 00:27:11,119 Speaker 1: went to a holistic approach to judging admissions in the 471 00:27:11,200 --> 00:27:13,520 Speaker 1: nineteen twenties, and some accused them of doing that to 472 00:27:13,640 --> 00:27:19,600 Speaker 1: exclude Jewish students. So you can see how old this approaches. Well, yes, 473 00:27:19,840 --> 00:27:24,400 Speaker 1: I think twenties is holistic a code word for some 474 00:27:24,520 --> 00:27:27,480 Speaker 1: kind of discrimination. Their answer is, all, we use dozens 475 00:27:27,480 --> 00:27:29,480 Speaker 1: of factors. You can't point to race as being the 476 00:27:29,560 --> 00:27:31,639 Speaker 1: only one. It's only part of the mix. That's what 477 00:27:31,760 --> 00:27:35,680 Speaker 1: they say publicly, right, but what are they saying privately. 478 00:27:35,720 --> 00:27:39,360 Speaker 1: I'm telling you there's a difference. Back then, the students 479 00:27:39,359 --> 00:27:43,920 Speaker 1: who did really, really well, it was a cultural thing, 480 00:27:44,240 --> 00:27:51,160 Speaker 1: were the Jewish students, and there was always discrimination against Jews. Obviously, 481 00:27:51,200 --> 00:27:55,040 Speaker 1: that's been a part of America for forever, right, and 482 00:27:55,200 --> 00:27:59,280 Speaker 1: now the new version of that is discrimination against Asians. 483 00:28:00,600 --> 00:28:03,280 Speaker 1: They just don't want too many of this or too 484 00:28:03,320 --> 00:28:07,080 Speaker 1: many of that. And so these college you know, they 485 00:28:07,320 --> 00:28:09,320 Speaker 1: they're good at the gobbledegook, and they're good at the 486 00:28:09,320 --> 00:28:12,199 Speaker 1: cover stories, and they'll go they come up with words 487 00:28:12,240 --> 00:28:15,560 Speaker 1: and you go, oh, yes, it's a holistic portfolio. Well 488 00:28:15,640 --> 00:28:18,120 Speaker 1: what is that? Yeah, I went all my life without 489 00:28:18,160 --> 00:28:21,800 Speaker 1: hearing the phrase holistic portfolio until you know, last ten 490 00:28:21,880 --> 00:28:24,240 Speaker 1: years trying to get your kids into college, and now 491 00:28:24,280 --> 00:28:27,800 Speaker 1: you hear this, these these magic voodoo words. There will 492 00:28:27,920 --> 00:28:31,080 Speaker 1: probably be any decision announced till next June. Anyway, Johnny 493 00:28:31,160 --> 00:28:33,240 Speaker 1: Ken caf I AM six forty live everywhere in the 494 00:28:33,240 --> 00:28:35,480 Speaker 1: iHeartRadio app we'll talk a bit about the LA Mayor's 495 00:28:35,560 --> 00:28:37,520 Speaker 1: race after the news at four o'clock. Don't forget the 496 00:28:37,600 --> 00:28:39,560 Speaker 1: voter guide, is there. It looks like there was a 497 00:28:39,600 --> 00:28:43,920 Speaker 1: couple of glitches over the weekend. Several people panicked emailing 498 00:28:43,960 --> 00:28:46,040 Speaker 1: the show before a guy it is messed up. It's gone, 499 00:28:46,480 --> 00:28:48,240 Speaker 1: It's there right now. I just checked it out CAF 500 00:28:48,360 --> 00:28:52,200 Speaker 1: I am sixty dot com. John, they're still sabotaging. There's 501 00:28:52,240 --> 00:28:54,560 Speaker 1: their guide. Only a week to go, so people are 502 00:28:54,560 --> 00:28:57,760 Speaker 1: starting to seriously reflect on their choices. It's the third 503 00:28:57,800 --> 00:29:01,080 Speaker 1: time we've gotten a report. Yeah, what do you suspect? 504 00:29:01,120 --> 00:29:04,560 Speaker 1: What's the conspiracy? I don't know. You don't know who 505 00:29:04,640 --> 00:29:10,440 Speaker 1: are our enemies. I don't know our enemies within hmm right, 506 00:29:10,480 --> 00:29:16,240 Speaker 1: I hope you have extra security. I doo, okay, you 507 00:29:16,320 --> 00:29:21,720 Speaker 1: got your bunker, you run too, that's right, Oh we 508 00:29:20,160 --> 00:29:25,200 Speaker 1: got we got Joe Biden audio. He did it again Friday. 509 00:29:25,640 --> 00:29:29,960 Speaker 1: He's campaigning in Pennsylvania for Democrats. I guess that's including 510 00:29:30,000 --> 00:29:32,880 Speaker 1: the guy John Fetterman, who's running for the US Senate 511 00:29:32,920 --> 00:29:36,000 Speaker 1: and slipping in the polls a bit against doctor Oz 512 00:29:36,080 --> 00:29:41,960 Speaker 1: due to his difficult debate performance last week. In this cut, 513 00:29:42,080 --> 00:29:45,200 Speaker 1: see if you can spot what's wrong. Maybe he's talking 514 00:29:45,200 --> 00:29:48,360 Speaker 1: about the Affordable Care Act and how the Republicans constantly 515 00:29:49,000 --> 00:29:52,800 Speaker 1: challenged Obama's Affordable Care Act. Here we go. They're gonna 516 00:29:52,840 --> 00:29:55,160 Speaker 1: try for their four hundred ninety nine time or whatever 517 00:29:55,200 --> 00:29:59,120 Speaker 1: the number is. They're still determined to eliminate the Affordable 518 00:29:59,160 --> 00:30:01,840 Speaker 1: Care Act. And by the way, if they do that 519 00:30:01,960 --> 00:30:04,479 Speaker 1: means not a joke, everybody. That's why we would defeated 520 00:30:04,560 --> 00:30:07,560 Speaker 1: in twenty and eighteen when they tried to do it. 521 00:30:07,680 --> 00:30:11,280 Speaker 1: We went to fifty four states. The reason is people 522 00:30:11,320 --> 00:30:14,120 Speaker 1: didn't realize that the only reason anybody who has a 523 00:30:14,160 --> 00:30:17,640 Speaker 1: pre existing condition can get healthcare is because of that 524 00:30:17,720 --> 00:30:28,320 Speaker 1: Affordable Care Act. Tens of men, folks, these protections will 525 00:30:28,360 --> 00:30:30,840 Speaker 1: be gone as well if Republicans get their way. What 526 00:30:31,040 --> 00:30:33,440 Speaker 1: was that? Not a joke? He's just not a joke. 527 00:30:33,560 --> 00:30:37,480 Speaker 1: He just blurted out. He shouted out ten tens of millions. 528 00:30:37,480 --> 00:30:40,120 Speaker 1: What was he talking about there? I would imagine people 529 00:30:40,160 --> 00:30:44,000 Speaker 1: who got affordable who got Obamacare, there was no pre 530 00:30:44,080 --> 00:30:47,560 Speaker 1: existing conditions. I guess context is shouting that out height. 531 00:30:48,360 --> 00:30:50,200 Speaker 1: But you did pick out the fifty four states. With 532 00:30:50,320 --> 00:30:54,880 Speaker 1: fifty four states, Yes, that's that's new. Some of the 533 00:30:54,920 --> 00:30:57,840 Speaker 1: politicians made that same mistake of feyears. Obama had fifty 534 00:30:57,840 --> 00:31:04,400 Speaker 1: seven states, Obama seven. Yeah, I remember a politician I 535 00:31:04,440 --> 00:31:07,520 Speaker 1: didn't know it was that many, Obama, Well, they counting 536 00:31:07,520 --> 00:31:11,840 Speaker 1: the territories. They counting. I thought he confused, hines, fifty 537 00:31:11,880 --> 00:31:16,200 Speaker 1: seven varieties, Obama did, Yeah, what's Joe up to with 538 00:31:16,240 --> 00:31:18,320 Speaker 1: fifty four? Fifty four? I don't know what fifth, but 539 00:31:18,720 --> 00:31:23,760 Speaker 1: with fifty four signifies I don't know when you can 540 00:31:23,800 --> 00:31:26,720 Speaker 1: see though, he's animated enough. That's not on the teleprompter. So, oh, yeah, 541 00:31:26,760 --> 00:31:28,760 Speaker 1: you're right here it is. You're right. Obama claimed fifty 542 00:31:28,800 --> 00:31:34,720 Speaker 1: seven states. Huh is this how they win elections? Do 543 00:31:34,760 --> 00:31:40,240 Speaker 1: they have extra states? Such a such a nice round number. 544 00:31:40,400 --> 00:31:45,040 Speaker 1: It's fifty states. Um, But what I'm thinking of they 545 00:31:45,080 --> 00:31:47,920 Speaker 1: thinking of Puerto Rico or other? I don't know. Well, 546 00:31:48,040 --> 00:31:51,280 Speaker 1: I'm wondering. I'm wondering if they get extra extra votes now, 547 00:31:51,880 --> 00:31:55,360 Speaker 1: extra electoral votes, like they might have a different system. 548 00:31:55,400 --> 00:31:59,040 Speaker 1: Maybe this is the conspiracy that everybody's always yacking about, 549 00:32:00,040 --> 00:32:04,480 Speaker 1: these these these extra states. All right, Well, I've just 550 00:32:04,520 --> 00:32:09,080 Speaker 1: been told that the San Francisco District Attorney Brook Jenkins, 551 00:32:09,120 --> 00:32:11,520 Speaker 1: the one that took over from Chessi Bodine after the recall, 552 00:32:11,680 --> 00:32:15,400 Speaker 1: remember her, Yes, she's out for election too. She just 553 00:32:15,440 --> 00:32:18,120 Speaker 1: spoke to the media with a de detailed account of 554 00:32:18,160 --> 00:32:21,400 Speaker 1: the struggle over the hammer between Paul Pelosi and his 555 00:32:21,480 --> 00:32:29,360 Speaker 1: attacker Brian Papappap. Alex Stone says, it's the pap today. 556 00:32:29,520 --> 00:32:31,280 Speaker 1: I thought he said to Pape. Did he say de Pap? 557 00:32:31,440 --> 00:32:34,360 Speaker 1: I thought he said to Pap, Yeah, because you look 558 00:32:34,400 --> 00:32:36,520 Speaker 1: at it, it's Pape, So I thought it might be 559 00:32:36,600 --> 00:32:38,920 Speaker 1: pap E. But you're right. I think it's pet or 560 00:32:39,120 --> 00:32:45,000 Speaker 1: Pepe or the Pope or the Pope. Alight, we'll play 561 00:32:45,080 --> 00:32:48,400 Speaker 1: some of the audio. It's not that important. Everybody knows 562 00:32:48,400 --> 00:32:50,960 Speaker 1: who this guy is. Whatever. His last name is. Johnny 563 00:32:51,000 --> 00:32:53,040 Speaker 1: Ken caf I AM six forty five everywhere in the 564 00:32:53,080 --> 00:32:55,160 Speaker 1: iHeart Radio app and deber Mark live in the twenty 565 00:32:55,160 --> 00:32:56,280 Speaker 1: four hour Cafeine news Room