1 00:00:00,960 --> 00:00:01,960 Speaker 1: I am six forty. 2 00:00:02,000 --> 00:00:04,240 Speaker 2: You're listening to the John and Ken Show on demand 3 00:00:04,280 --> 00:00:10,240 Speaker 2: on the iHeartRadio app. We're live in the radio from 4 00:00:10,240 --> 00:00:12,280 Speaker 2: one until four and after four o'clock. 5 00:00:12,280 --> 00:00:13,200 Speaker 1: What'd you miss? High? 6 00:00:13,200 --> 00:00:15,040 Speaker 2: If you miss something, you go to the podcast Johnny 7 00:00:15,080 --> 00:00:17,040 Speaker 2: Canon demand on the iHeart app. 8 00:00:17,239 --> 00:00:18,840 Speaker 1: All right, well, we're gonna get right into it because 9 00:00:18,840 --> 00:00:21,320 Speaker 1: we have a special interview. Over the weekend, news came 10 00:00:21,360 --> 00:00:24,920 Speaker 1: out that the unibomber is dead. Remember that story. Between 11 00:00:25,000 --> 00:00:29,800 Speaker 1: nineteen seventy eight and nineteen ninety five, someone was mailing 12 00:00:30,080 --> 00:00:34,040 Speaker 1: bombs to people around the country. When they finally caught 13 00:00:34,120 --> 00:00:38,159 Speaker 1: up with them, he was identified as Ted Kaczinski, the 14 00:00:38,240 --> 00:00:42,400 Speaker 1: man who lived in a sparse cabin in Montana, and 15 00:00:42,520 --> 00:00:46,440 Speaker 1: of course the motivation was allegedly his hatred of the 16 00:00:46,440 --> 00:00:50,760 Speaker 1: modern world and technology. Three people were killed, twenty three 17 00:00:50,760 --> 00:00:54,320 Speaker 1: others were wounded. He was serving eight life sentences for 18 00:00:54,400 --> 00:00:57,200 Speaker 1: these bombs. He died, and then we learned about a 19 00:00:57,280 --> 00:01:00,520 Speaker 1: day later that suicide eighty one years old. At first 20 00:01:00,520 --> 00:01:02,319 Speaker 1: I thought it might be natural causes, because they had 21 00:01:02,320 --> 00:01:05,920 Speaker 1: transferred him from a federal prison in Colorado to like 22 00:01:05,920 --> 00:01:09,320 Speaker 1: a medical federal medical facility, and I thought maybe because 23 00:01:09,319 --> 00:01:12,760 Speaker 1: he was going downhill. But they're now saying he killed himself. 24 00:01:12,800 --> 00:01:16,400 Speaker 1: He had late stage cancer. Okay, well maybe that's why 25 00:01:16,400 --> 00:01:17,120 Speaker 1: he killed himself. 26 00:01:17,840 --> 00:01:22,319 Speaker 2: And he sent the bombs to either university professors or 27 00:01:22,400 --> 00:01:24,600 Speaker 2: airline executives, which. 28 00:01:24,400 --> 00:01:26,840 Speaker 1: And I just learned, hence the name unibomber. That's right 29 00:01:27,560 --> 00:01:29,120 Speaker 1: for university airlines. 30 00:01:29,319 --> 00:01:35,440 Speaker 2: Yeah, so we're going to talk now with Jonathan Epstein. 31 00:01:36,560 --> 00:01:39,280 Speaker 1: Yes, we're gonna talk with Jonathan Epstein. His father was 32 00:01:39,319 --> 00:01:41,960 Speaker 1: one of the victims. His father did survive the bombing, 33 00:01:42,000 --> 00:01:45,560 Speaker 1: but it was atrocious. His father was doctor Charles Epstein, 34 00:01:46,000 --> 00:01:48,800 Speaker 1: University of California at San Francisco, geneticist. 35 00:01:49,240 --> 00:01:52,520 Speaker 2: All right, let's get Jonathan Epstein on. Jonathan, thanks for 36 00:01:52,560 --> 00:01:53,200 Speaker 2: coming on with. 37 00:01:53,160 --> 00:01:56,160 Speaker 3: Us, Thanks for having me. Yeah. 38 00:01:56,240 --> 00:01:57,880 Speaker 1: One of the things I just read in the story 39 00:01:57,880 --> 00:02:00,000 Speaker 1: about you, Jonathan, is you were hoping that that was 40 00:02:00,160 --> 00:02:01,720 Speaker 1: your last interview we're going to do about this, but 41 00:02:01,880 --> 00:02:03,560 Speaker 1: you agreed to come on our show. We appreciate that. 42 00:02:04,880 --> 00:02:05,840 Speaker 1: Thank you for doing that. 43 00:02:05,960 --> 00:02:08,360 Speaker 3: Yeah, absolutely, that statement was a little premature. 44 00:02:08,480 --> 00:02:11,960 Speaker 2: Perhaps, Yeah, well, I mean there's been interest in this 45 00:02:12,280 --> 00:02:15,080 Speaker 2: for almost thirty years now, ever since the world became 46 00:02:15,120 --> 00:02:18,000 Speaker 2: aware of the unibomber, and actually his bombings go back 47 00:02:18,000 --> 00:02:22,200 Speaker 2: wide about forty five years, so you've been living with this, 48 00:02:23,240 --> 00:02:26,080 Speaker 2: you know, a big percentage of your life. Did you 49 00:02:26,120 --> 00:02:28,360 Speaker 2: have a particular reaction when you heard he was dead? 50 00:02:30,880 --> 00:02:34,120 Speaker 3: Yeah, I mean, I guess you know, I was initially 51 00:02:34,120 --> 00:02:38,640 Speaker 3: felt glad about the news. It's not great when anyone 52 00:02:38,880 --> 00:02:41,679 Speaker 3: dies in general, but you know, my hope was and 53 00:02:42,320 --> 00:02:45,080 Speaker 3: what prompted my statement about interviews is that we brought 54 00:02:45,200 --> 00:02:48,320 Speaker 3: we'd finally be able to put this chapter of our 55 00:02:48,360 --> 00:02:51,680 Speaker 3: lives to a close. It's you know, it's been a while, 56 00:02:51,680 --> 00:02:54,160 Speaker 3: it's been thirty years. My father was the age I 57 00:02:54,200 --> 00:02:56,080 Speaker 3: am now when this happens. 58 00:02:56,360 --> 00:02:58,760 Speaker 1: Yeah, let's talk about that. And your father, of course 59 00:02:58,800 --> 00:03:02,080 Speaker 1: has since passed away, but he did survive this bombing. 60 00:03:02,080 --> 00:03:03,640 Speaker 1: What did he do at UCSF? 61 00:03:05,440 --> 00:03:09,760 Speaker 3: So my father was head of human genetics. He started 62 00:03:09,760 --> 00:03:15,840 Speaker 3: out his career bringing healthcare out to rural areas, in 63 00:03:15,880 --> 00:03:19,240 Speaker 3: particular the NEOs andesis procedure, which was new at the time, 64 00:03:20,360 --> 00:03:25,160 Speaker 3: but he ended up developing a specialty in down syndrome 65 00:03:25,720 --> 00:03:29,160 Speaker 3: and really trying to understand how having an extra chromosome 66 00:03:30,200 --> 00:03:32,839 Speaker 3: manifested the way it did, and as part of that, 67 00:03:33,360 --> 00:03:38,920 Speaker 3: instituted the first people that did genetic counseling who helped 68 00:03:39,600 --> 00:03:45,240 Speaker 3: parents that had or we would potentially have children that 69 00:03:45,360 --> 00:03:48,839 Speaker 3: had you not the normal set of chromosomes, and helped 70 00:03:48,840 --> 00:03:51,480 Speaker 3: them get through that experience. 71 00:03:52,200 --> 00:03:56,240 Speaker 1: It sounds like it was doing remarkable research. The unibomber 72 00:03:56,280 --> 00:03:58,840 Speaker 1: picking out your father, I mean it puzzles you too. 73 00:03:58,760 --> 00:04:03,200 Speaker 3: Right, Yeah, I think you know he was He was mentioned, 74 00:04:03,280 --> 00:04:05,560 Speaker 3: and my father was, you know, used a lot as 75 00:04:05,560 --> 00:04:08,440 Speaker 3: a source, and so he was quoted in a New 76 00:04:08,520 --> 00:04:11,560 Speaker 3: York Times story. I'm not sure what that story it was. 77 00:04:11,600 --> 00:04:14,240 Speaker 3: It might have been about genetic engineering, which was something 78 00:04:15,040 --> 00:04:17,760 Speaker 3: very new that he had nothing to do with this. 79 00:04:17,960 --> 00:04:23,040 Speaker 3: So we always felt that, you know, since he hadn't 80 00:04:23,080 --> 00:04:26,120 Speaker 3: done his homework, if he was trying to achieve the 81 00:04:26,120 --> 00:04:30,479 Speaker 3: objectives he had stated in his manifesto, he he picked 82 00:04:30,480 --> 00:04:33,200 Speaker 3: a guy that was focused on doing good with science 83 00:04:33,240 --> 00:04:37,640 Speaker 3: and also bringing the benefits of science and technology to 84 00:04:38,560 --> 00:04:40,919 Speaker 3: you know, the full population, not just the elites. 85 00:04:41,120 --> 00:04:44,320 Speaker 1: What happened to your dad the day he got this bomb? 86 00:04:46,440 --> 00:04:50,839 Speaker 3: Yeah, so he was alone at home. I think my 87 00:04:50,960 --> 00:04:53,520 Speaker 3: sister had brought in the package and he opened it 88 00:04:53,600 --> 00:04:57,120 Speaker 3: up and it blew up. The bomb was designed to maime, 89 00:04:57,279 --> 00:05:00,680 Speaker 3: not kill, for which we're you know, fortunate relatively. I 90 00:05:00,680 --> 00:05:05,200 Speaker 3: guess he had thick glasses on, so it probably saved 91 00:05:05,360 --> 00:05:09,359 Speaker 3: his eyesight. He lost fingers, he had a lot of 92 00:05:09,440 --> 00:05:12,760 Speaker 3: internal injuries, essentially opened it. It kind of waste level 93 00:05:14,120 --> 00:05:19,680 Speaker 3: he and we know this by backing the blood trail. 94 00:05:19,920 --> 00:05:22,960 Speaker 3: He stumbled out of the kitchen, but it went the 95 00:05:22,960 --> 00:05:25,520 Speaker 3: wrong way and then went out of the front door. 96 00:05:25,640 --> 00:05:28,480 Speaker 3: The house fell down in our driveway, and the neighbors 97 00:05:28,480 --> 00:05:30,200 Speaker 3: had heard the blast, and they came and. 98 00:05:30,880 --> 00:05:33,480 Speaker 2: Did he have the Did he have long term health 99 00:05:33,520 --> 00:05:38,440 Speaker 2: problems because of the blast outside of the missing fingers, I. 100 00:05:38,360 --> 00:05:43,680 Speaker 3: Think, well, he lost some of his hearing. He had 101 00:05:43,720 --> 00:05:46,760 Speaker 3: a lot of pain from the internal injuries over time, 102 00:05:47,000 --> 00:05:49,719 Speaker 3: but I do feel that over and you know, it 103 00:05:49,760 --> 00:05:52,200 Speaker 3: took years to get his hands back in shape. But 104 00:05:52,600 --> 00:05:55,480 Speaker 3: you know, by the end of his life, I think 105 00:05:55,560 --> 00:05:58,760 Speaker 3: he was you know, other than missing some hearing and 106 00:06:00,240 --> 00:06:04,760 Speaker 3: some fingers, which isn't great when you're a cellist. You know, 107 00:06:04,920 --> 00:06:08,280 Speaker 3: he was able to with a pullette. 108 00:06:08,680 --> 00:06:10,919 Speaker 1: Now were you were you and your family aware of 109 00:06:10,960 --> 00:06:13,679 Speaker 1: the unibomber, I mean, the attack on your father happened 110 00:06:13,680 --> 00:06:16,880 Speaker 1: a bit late in his bombing history. Nineteen ninety three 111 00:06:16,880 --> 00:06:18,960 Speaker 1: and he was arrested a couple of years later. Were 112 00:06:19,000 --> 00:06:20,720 Speaker 1: you were you aware of him being out there? 113 00:06:21,920 --> 00:06:24,520 Speaker 3: I was not. I never heard of the guy before, 114 00:06:24,560 --> 00:06:27,760 Speaker 3: and my father was the first in what became the 115 00:06:27,800 --> 00:06:31,600 Speaker 3: new string of bombing, so it really had no historical context. 116 00:06:31,640 --> 00:06:35,719 Speaker 3: Had never heard of that name until the FBI came 117 00:06:35,800 --> 00:06:40,719 Speaker 3: calling to the house and included us in that this might. 118 00:06:40,600 --> 00:06:42,960 Speaker 1: Be the Yeah, he took some time off, Kazinski did 119 00:06:43,000 --> 00:06:45,040 Speaker 1: from doing this, as I recall, and then there was 120 00:06:45,080 --> 00:06:47,960 Speaker 1: a string of them later before they caught up and 121 00:06:48,200 --> 00:06:49,280 Speaker 1: arrested him. 122 00:06:49,960 --> 00:06:50,400 Speaker 3: That's right. 123 00:06:50,640 --> 00:06:54,800 Speaker 1: Did you read his manifesto because that that consumed the 124 00:06:54,839 --> 00:06:57,440 Speaker 1: whole nation when it was published and published in New 125 00:06:57,520 --> 00:07:00,320 Speaker 1: York Times, I think, and that's what led to his chature. 126 00:07:02,360 --> 00:07:05,120 Speaker 3: Yeah, he had a distinctive writing style, to say the least. 127 00:07:05,160 --> 00:07:06,720 Speaker 3: I read some of it. I have not read the 128 00:07:07,400 --> 00:07:08,480 Speaker 3: full manifesto. 129 00:07:10,640 --> 00:07:14,160 Speaker 1: How did your father feel about, you know, catching Kazinsky 130 00:07:14,200 --> 00:07:15,280 Speaker 1: and the punishment and all of that. 131 00:07:18,280 --> 00:07:22,560 Speaker 3: Uh. I never really got my father's viewpoint on it. 132 00:07:22,640 --> 00:07:26,360 Speaker 3: Obviously they were glad he caught him caught, because then 133 00:07:26,480 --> 00:07:31,240 Speaker 3: they caught Kazinsky. My mother was, you know, very obviously 134 00:07:32,440 --> 00:07:35,960 Speaker 3: and rightfully upset and angry about the whole thing, and 135 00:07:36,000 --> 00:07:40,520 Speaker 3: she was upset that he twedd out. She wanted him 136 00:07:40,560 --> 00:07:44,480 Speaker 3: to be confronted in court by you know, the results 137 00:07:44,480 --> 00:07:47,240 Speaker 3: of his actions and felt the tech fee each way 138 00:07:47,320 --> 00:07:52,040 Speaker 3: out as she may have just done so by committing suicide. 139 00:07:53,440 --> 00:07:56,040 Speaker 1: Yeah, we appreciate you talking about your dad. I see 140 00:07:56,040 --> 00:07:57,720 Speaker 1: here also in the story we're looking at that you 141 00:07:58,040 --> 00:07:59,920 Speaker 1: don't want your father to be remembered as a uni 142 00:08:00,040 --> 00:08:01,680 Speaker 1: i'm or victim. You want to be remembered for what 143 00:08:01,720 --> 00:08:02,680 Speaker 1: he did for science. 144 00:08:04,520 --> 00:08:07,600 Speaker 3: Yeah, there was always this kind of dual edge sword. 145 00:08:08,080 --> 00:08:10,760 Speaker 3: I think, you know, it was hard for him not 146 00:08:10,840 --> 00:08:13,200 Speaker 3: to be identified in that way because he was a 147 00:08:13,280 --> 00:08:16,160 Speaker 3: victim and it was a pretty small group of people 148 00:08:16,200 --> 00:08:19,040 Speaker 3: and he was fortunate to survive. But my father was 149 00:08:19,160 --> 00:08:22,360 Speaker 3: very you know, one of the top geneticis of the country. 150 00:08:22,440 --> 00:08:26,880 Speaker 3: He went on to be the initial scientific advisor and 151 00:08:26,960 --> 00:08:29,880 Speaker 3: later the chairman of the Layer Trustees for the Buck Institute, 152 00:08:29,880 --> 00:08:34,160 Speaker 3: which is a leading institute focused on age research or 153 00:08:34,200 --> 00:08:37,240 Speaker 3: aging research and why by getting old does what it 154 00:08:37,280 --> 00:08:39,880 Speaker 3: does to us because there was a connection between down 155 00:08:39,920 --> 00:08:44,040 Speaker 3: syndrome and aging, and so, yeah, he was very accomplished. 156 00:08:44,040 --> 00:08:47,200 Speaker 3: He had more than five hundred scientific papers to his name, 157 00:08:48,160 --> 00:08:52,440 Speaker 3: and you know, ultimately that in the books he wrote 158 00:08:52,480 --> 00:08:56,080 Speaker 3: on medicine that we hope will be his legacy, and. 159 00:08:56,000 --> 00:08:57,560 Speaker 1: He was he able to continue a lot of his 160 00:08:57,640 --> 00:08:58,600 Speaker 1: work after the bombing. 161 00:09:00,240 --> 00:09:02,680 Speaker 3: He did after a while, after you know a couple 162 00:09:02,760 --> 00:09:06,640 Speaker 3: of years of recuperating, he went back to his lab 163 00:09:07,240 --> 00:09:09,600 Speaker 3: and he actually was able to play the cello again, 164 00:09:09,760 --> 00:09:12,720 Speaker 3: you know, on a personal life basis. They hit special 165 00:09:12,760 --> 00:09:17,480 Speaker 3: bows for him that he could hold despite his missing appendages. 166 00:09:18,640 --> 00:09:22,480 Speaker 3: But yeah, he went full long into research and if anything, 167 00:09:22,679 --> 00:09:24,880 Speaker 3: you know, he when this happened, he was fifty nine 168 00:09:24,960 --> 00:09:27,880 Speaker 3: my age, and was that a point in his career 169 00:09:27,880 --> 00:09:30,240 Speaker 3: where he's you know, kind of wondering, Hey, what's this 170 00:09:30,400 --> 00:09:33,760 Speaker 3: all been for? When the you know, the one that's 171 00:09:34,000 --> 00:09:37,880 Speaker 3: silver lining that's even a real thing in this case 172 00:09:38,800 --> 00:09:41,240 Speaker 3: of the incident, was that he got thousands of letters 173 00:09:41,240 --> 00:09:45,200 Speaker 3: from people whose lives he had positively impacted by his 174 00:09:45,320 --> 00:09:49,120 Speaker 3: work in genetics and genetic counseling. And I think that 175 00:09:49,200 --> 00:09:52,880 Speaker 3: shield him to do you know, another ten years. 176 00:09:51,920 --> 00:09:54,960 Speaker 2: And yeah, and most people never get that, nothing even 177 00:09:54,960 --> 00:09:58,280 Speaker 2: close to it. Well, listen, thank you very much for 178 00:09:58,320 --> 00:10:01,000 Speaker 2: coming on with us and talking about your father and 179 00:10:01,120 --> 00:10:06,600 Speaker 2: talking about that terrible time. People shouldn't forget, you know, 180 00:10:06,640 --> 00:10:10,440 Speaker 2: the victims in these cases. Jonathan Epstein, he's the son 181 00:10:10,600 --> 00:10:13,920 Speaker 2: of the UC San Francisco geneticist, doctor Charles Epstein, one 182 00:10:13,920 --> 00:10:18,440 Speaker 2: of the unibomber victims. He survived the mail bomb that exploded. 183 00:10:20,440 --> 00:10:23,560 Speaker 1: Just a geneticist who was doing great work on down syndrome. 184 00:10:23,640 --> 00:10:28,360 Speaker 1: And that's why the wild crazy guy Kazinski sometimes didn't 185 00:10:29,280 --> 00:10:31,319 Speaker 1: Obviously what he was doing was wild and crazy, but 186 00:10:31,440 --> 00:10:34,800 Speaker 1: even picking some of his victims just seemed really remarkably weird. 187 00:10:35,080 --> 00:10:37,160 Speaker 2: You know, there's a there's a TV reporter quoted in 188 00:10:37,200 --> 00:10:42,240 Speaker 2: a story covered the court case at the time, and 189 00:10:42,880 --> 00:10:45,600 Speaker 2: he would look at us sitting there and nod and smile, 190 00:10:45,800 --> 00:10:47,760 Speaker 2: almost like we were going to have coffee. 191 00:10:47,320 --> 00:10:50,600 Speaker 1: With him that day. He was just, you know, he 192 00:10:50,720 --> 00:10:55,720 Speaker 1: was extremely mentally ill with this bizarre obsession. We got 193 00:10:55,760 --> 00:10:59,400 Speaker 1: a little bit more coming up next on Kazinski. He 194 00:10:59,440 --> 00:11:02,160 Speaker 1: was at one one time the sort of a professor 195 00:11:02,600 --> 00:11:06,240 Speaker 1: at UC Berkeley, and his students, most of them didn't 196 00:11:06,240 --> 00:11:09,040 Speaker 1: remember him because he didn't like to talk to people. Obviously, 197 00:11:09,080 --> 00:11:11,520 Speaker 1: he hated humanity. So we'll talk a little bit more 198 00:11:11,520 --> 00:11:14,400 Speaker 1: coming up. Johnny KENKFI AM six forty live everywhere the 199 00:11:14,440 --> 00:11:15,360 Speaker 1: iHeartRadio app. 200 00:11:16,240 --> 00:11:19,600 Speaker 4: You're listening to John and Ken on demand from KFI 201 00:11:19,840 --> 00:11:20,760 Speaker 4: AM six forty. 202 00:11:22,600 --> 00:11:24,800 Speaker 1: We're on the radio one till four after four o'clock. 203 00:11:24,800 --> 00:11:25,360 Speaker 1: What'd you miss? 204 00:11:25,720 --> 00:11:27,280 Speaker 2: Go to the iHeart app for the John and Kent 205 00:11:27,400 --> 00:11:30,480 Speaker 2: podcast and you know one ads to the other. 206 00:11:30,600 --> 00:11:32,480 Speaker 1: You do the radio show. Whatever you missed, you do 207 00:11:32,559 --> 00:11:33,160 Speaker 1: the podcast? 208 00:11:34,200 --> 00:11:34,520 Speaker 3: All right? 209 00:11:34,559 --> 00:11:37,600 Speaker 1: Well, the unibomber is dead. He apparently killed himself in 210 00:11:37,640 --> 00:11:41,080 Speaker 1: a federal medical type prison back east at the age 211 00:11:41,120 --> 00:11:43,200 Speaker 1: of eighty one. John said, what he had late stage 212 00:11:43,240 --> 00:11:46,840 Speaker 1: cancer of some kind. Yeah. Ted Kaczynski came from Chicago, 213 00:11:46,960 --> 00:11:50,880 Speaker 1: but he does have ties to the West Coast. It 214 00:11:50,960 --> 00:11:53,760 Speaker 1: was obviously a math whiz, and he got a scholarship 215 00:11:53,760 --> 00:11:58,040 Speaker 1: at Harvard. At sixteen, he went to Harvard and then 216 00:11:58,120 --> 00:12:01,160 Speaker 1: from there he moved to the University of Michigan for 217 00:12:01,240 --> 00:12:06,440 Speaker 1: a advanced degree in math, and then in nineteen sixty 218 00:12:06,480 --> 00:12:09,560 Speaker 1: two he eventually landed as an assistant math professor at 219 00:12:09,600 --> 00:12:13,200 Speaker 1: you see, Berkeley. He was just twenty five years old 220 00:12:13,280 --> 00:12:17,199 Speaker 1: and on a tenure track already. Now you had mentioned 221 00:12:17,240 --> 00:12:19,360 Speaker 1: earlier that one of the reasons they were able to 222 00:12:19,640 --> 00:12:22,920 Speaker 1: nab the unibomber ted Kazinski is because the New York 223 00:12:22,920 --> 00:12:27,160 Speaker 1: Times published his manifesto. It was his brother, David Kazinski, 224 00:12:27,200 --> 00:12:30,959 Speaker 1: who recognized the work of his own brother and basically 225 00:12:31,000 --> 00:12:34,239 Speaker 1: turned him in, And that's how they tracked ted Kaczinski 226 00:12:34,360 --> 00:12:39,080 Speaker 1: down and arrested him. Back then, there's a few memories 227 00:12:39,120 --> 00:12:42,359 Speaker 1: that people came up with, But when he was a 228 00:12:42,400 --> 00:12:44,280 Speaker 1: math professor at you see, Berkeley, a lot of people 229 00:12:44,360 --> 00:12:48,160 Speaker 1: could not remember him because he was antisocial. He didn't 230 00:12:48,160 --> 00:12:50,640 Speaker 1: really want to relate to people or to anyone else. 231 00:12:50,679 --> 00:12:52,720 Speaker 1: In fact, the guy that ran to the department at 232 00:12:52,720 --> 00:12:56,800 Speaker 1: the time had no recollection of Kazinsky being a professor there. 233 00:12:56,960 --> 00:13:00,199 Speaker 1: He was just very withdrawn. He lived in a cottage 234 00:13:00,600 --> 00:13:04,080 Speaker 1: behind a main residence in a quite residential neighborhood and 235 00:13:04,120 --> 00:13:08,400 Speaker 1: pretty much kept to himself. Even students complained he would 236 00:13:08,480 --> 00:13:12,440 Speaker 1: not answer questions, just read out of the textbook. Imagine 237 00:13:12,440 --> 00:13:14,760 Speaker 1: a profession that doesn't answer questions. And the ideas for 238 00:13:15,000 --> 00:13:17,640 Speaker 1: you know, students to be very inquisitive and to really 239 00:13:17,679 --> 00:13:20,160 Speaker 1: ask you a bunch of questions to further their learning. 240 00:13:20,240 --> 00:13:22,040 Speaker 1: It's like I didn't want to answer a question. Now 241 00:13:22,080 --> 00:13:24,520 Speaker 1: that I've had three sons go through college. You have 242 00:13:24,679 --> 00:13:29,920 Speaker 1: no idea how many freaks are college professors. I'm like, 243 00:13:29,920 --> 00:13:31,439 Speaker 1: like out and out weirdos. 244 00:13:32,520 --> 00:13:37,040 Speaker 2: And because I've seen some videos of them teaching, I've 245 00:13:37,080 --> 00:13:41,319 Speaker 2: heard the stories, and these are a lot of maladjusted 246 00:13:41,440 --> 00:13:45,680 Speaker 2: social outcasts who really could not exist in the real world. 247 00:13:46,200 --> 00:13:48,880 Speaker 2: But they have their one little genius niche that they 248 00:13:48,880 --> 00:13:52,600 Speaker 2: are obsessed with and they can put pontificate on. But 249 00:13:53,080 --> 00:13:57,320 Speaker 2: now that that whole world is scary, it really is, 250 00:13:57,600 --> 00:14:00,280 Speaker 2: and Kazinski is one of the scary ones. The thing 251 00:14:00,320 --> 00:14:03,160 Speaker 2: that was most fascinating. And I remember I remember reading 252 00:14:03,200 --> 00:14:06,679 Speaker 2: a book on Kazinsky and this popped out in one 253 00:14:06,720 --> 00:14:08,080 Speaker 2: of the news stories this weekend. 254 00:14:09,200 --> 00:14:10,120 Speaker 1: When he was. 255 00:14:12,000 --> 00:14:15,520 Speaker 2: I guess at Harvard, he was part of a psychological 256 00:14:15,559 --> 00:14:20,880 Speaker 2: experiment run by a professor, Henry Murray. Murray was later 257 00:14:21,160 --> 00:14:25,239 Speaker 2: accused of running what amounted to a cruel human experiment 258 00:14:25,320 --> 00:14:28,320 Speaker 2: on young adults. His goal was to subject them to 259 00:14:28,400 --> 00:14:33,280 Speaker 2: extreme stress to see how people responded to trauma. So 260 00:14:33,360 --> 00:14:38,280 Speaker 2: Kazinsky spent two hundred hours in the experiment absorbing all 261 00:14:38,280 --> 00:14:43,160 Speaker 2: this verbal abuse. The verbal abuse focused on each subject's 262 00:14:43,200 --> 00:14:46,360 Speaker 2: weaknesses and triggers, and then you'd have to watch yourself 263 00:14:46,440 --> 00:14:50,600 Speaker 2: being berated than he's been two hundred hours. I don't 264 00:14:50,600 --> 00:14:55,240 Speaker 2: know if that had any effect on his behavior, gave 265 00:14:55,280 --> 00:14:58,240 Speaker 2: him some kind of a breakdown. I mean, I mean, 266 00:14:58,240 --> 00:14:59,920 Speaker 2: there's a great example who the hell would think of 267 00:15:00,760 --> 00:15:02,200 Speaker 2: and then and then carry it out. 268 00:15:03,080 --> 00:15:05,880 Speaker 1: He eventually leaves Berkeley and he moves back home with 269 00:15:05,920 --> 00:15:08,160 Speaker 1: his parents for a while in Illinois. But as we 270 00:15:08,240 --> 00:15:11,040 Speaker 1: now know, he ended up in a cabin in Montana, 271 00:15:11,720 --> 00:15:14,760 Speaker 1: and that's where they caught him. In nineteen ninety six. 272 00:15:15,720 --> 00:15:20,440 Speaker 1: He struck California several times with bombs. In fact, they 273 00:15:20,680 --> 00:15:22,720 Speaker 1: did think he had some kind of ties to UC 274 00:15:22,920 --> 00:15:26,560 Speaker 1: Berkeley because there were two bombs detonated in a place 275 00:15:26,640 --> 00:15:30,240 Speaker 1: called Corey Hall at Berkeley, the only location the un 276 00:15:30,320 --> 00:15:33,400 Speaker 1: bomber hit twice, and one of them was an electrical 277 00:15:33,400 --> 00:15:36,080 Speaker 1: engineering professor who in nineteen eighty two picked up an 278 00:15:36,120 --> 00:15:38,280 Speaker 1: item looked like a tool in the brake room. It 279 00:15:38,280 --> 00:15:41,080 Speaker 1: was a pipe bomb. He got wounded in the face 280 00:15:41,120 --> 00:15:44,040 Speaker 1: with shrapnel. He did recover, and then then May of 281 00:15:44,080 --> 00:15:46,760 Speaker 1: eighty five, a graduate student went to open a package 282 00:15:46,920 --> 00:15:50,360 Speaker 1: left in the computer lab that caused severe damage to 283 00:15:50,440 --> 00:15:55,320 Speaker 1: the man's hand and arm. So turing nineteen seventy eight 284 00:15:55,440 --> 00:15:59,120 Speaker 1: nineteen ninety five, Kazinski targeted California four times, twice at 285 00:15:59,120 --> 00:16:02,720 Speaker 1: Corey Hall and twice in Sacramento, killing a computer store 286 00:16:02,720 --> 00:16:05,400 Speaker 1: owner and a timber industry lobbyist. You can really see 287 00:16:05,440 --> 00:16:07,360 Speaker 1: it was really all over the place with his targets 288 00:16:07,840 --> 00:16:10,720 Speaker 1: a computer store owner. I mean really not that any 289 00:16:10,720 --> 00:16:13,880 Speaker 1: of this is right, but it's like the bizarre madness 290 00:16:13,880 --> 00:16:14,680 Speaker 1: that overtook him. 291 00:16:14,880 --> 00:16:17,560 Speaker 2: Yeah. He lived in a cabin. It was ten feet 292 00:16:17,600 --> 00:16:22,240 Speaker 2: by fourteen feet, flywood and tar paper, right, yeah, filled 293 00:16:22,240 --> 00:16:28,120 Speaker 2: with journals, a diary written in code, explosive ingredients to bombs. 294 00:16:28,400 --> 00:16:31,480 Speaker 2: And he hated that people thought he was mentally ill, 295 00:16:31,560 --> 00:16:35,560 Speaker 2: and he refused to let his lawyers defend him with 296 00:16:35,600 --> 00:16:42,160 Speaker 2: an insanity defense. He eventually pleaded guilty rather than lead insanity. 297 00:16:41,880 --> 00:16:44,320 Speaker 1: Because with his philosophical take on what was happening to 298 00:16:44,360 --> 00:16:45,960 Speaker 1: the world, he's not insane, we are. 299 00:16:46,080 --> 00:16:48,360 Speaker 2: Yeah, he thought he was right. He thought technology was 300 00:16:48,760 --> 00:16:53,000 Speaker 2: destroying the world yeap, and destroying humanity. 301 00:16:54,080 --> 00:16:56,560 Speaker 1: There was another story I read. He was corresponding with 302 00:16:56,640 --> 00:17:00,080 Speaker 1: a man who wrote books. They were travel books or something, 303 00:17:00,480 --> 00:17:02,720 Speaker 1: but he asked a lot of questions about where can 304 00:17:02,760 --> 00:17:06,040 Speaker 1: he find the most remote place. You know, ultimately that's 305 00:17:06,080 --> 00:17:08,320 Speaker 1: what he want. It wasn't didn't His brother also live 306 00:17:08,400 --> 00:17:10,920 Speaker 1: like in a ditch for a while, a bunker. He lived, yes, 307 00:17:11,359 --> 00:17:15,160 Speaker 1: underground in a bunker with a storm door as his roof, 308 00:17:15,800 --> 00:17:19,199 Speaker 1: and he would pop open the storm door to to 309 00:17:19,280 --> 00:17:22,119 Speaker 1: climb out. And he was living there at the same 310 00:17:22,200 --> 00:17:26,600 Speaker 1: time that his brother is living in a cabin in Montana, Antana. 311 00:17:26,800 --> 00:17:27,000 Speaker 3: Right. 312 00:17:27,160 --> 00:17:31,200 Speaker 1: Yeah, so ah, that's score one for gen X and 313 00:17:31,280 --> 00:17:35,280 Speaker 1: running in the family Polish immigrant parents. The answer was 314 00:17:35,400 --> 00:17:38,560 Speaker 1: three three people picked the unibomber to die. In the 315 00:17:38,640 --> 00:17:42,200 Speaker 1: John and Ken twenty twenty three Goupoles people, about three 316 00:17:42,240 --> 00:17:43,919 Speaker 1: people did remember that he was out there and he 317 00:17:43,920 --> 00:17:45,960 Speaker 1: could die this year, and he did more. Coming up 318 00:17:46,040 --> 00:17:49,800 Speaker 1: Johnny Ken KFI AM six forty Live Everywhere the iHeartRadio app. 319 00:17:50,840 --> 00:17:54,200 Speaker 4: You're listening to John and Ken on demand from KFI 320 00:17:54,400 --> 00:17:55,840 Speaker 4: AM sixty. 321 00:17:57,240 --> 00:18:01,800 Speaker 1: Well tonight, Fox News is skilled to air it's entirety 322 00:18:02,280 --> 00:18:06,400 Speaker 1: the interview that Sean Hannity did with Dippity Too. I've 323 00:18:06,440 --> 00:18:09,600 Speaker 1: decided this is another tactic of Gavin Newsom's along with 324 00:18:09,640 --> 00:18:12,040 Speaker 1: the whole mystery of whether or not he's running for president. 325 00:18:12,119 --> 00:18:14,399 Speaker 1: We've been through that before. But he wants to be 326 00:18:14,520 --> 00:18:17,000 Speaker 1: the one that's different on his side of the party 327 00:18:17,040 --> 00:18:20,119 Speaker 1: of the Isle. He wants to challenge. It's cool that 328 00:18:20,200 --> 00:18:23,280 Speaker 1: he goes on Twitter and picks on Ron DeSantis in Florida. 329 00:18:23,359 --> 00:18:28,159 Speaker 2: Yeah, he's not spending much time on California's disaster, is he. 330 00:18:29,160 --> 00:18:31,920 Speaker 2: I mean, he's like Garcetti. Garceetti, he's a lame duck 331 00:18:32,000 --> 00:18:33,639 Speaker 2: don after the first term. 332 00:18:33,800 --> 00:18:36,320 Speaker 1: Yeah, I know. He just got re elected though, so 333 00:18:36,400 --> 00:18:39,560 Speaker 1: what he Dude, he's done being governor of California. There's 334 00:18:39,560 --> 00:18:44,640 Speaker 1: bigger things ahead. Yeah, like Garcetti, there's not. But yeah, 335 00:18:44,680 --> 00:18:49,360 Speaker 1: i'd be funny if Newsom ends up with some ambassador nomination. Yeah. 336 00:18:48,359 --> 00:18:50,439 Speaker 3: The thing. 337 00:18:50,600 --> 00:18:55,879 Speaker 2: The thing is, he's he's he's he's posturing. He is 338 00:18:56,080 --> 00:18:59,760 Speaker 2: just bellowing. But there's not a lot of content, and 339 00:18:59,800 --> 00:19:02,399 Speaker 2: it's it's easy to pop his balloon because he's not 340 00:19:02,760 --> 00:19:08,320 Speaker 2: a good debater at all. He's not good at defending himself. 341 00:19:08,600 --> 00:19:11,120 Speaker 2: A lot of this is indefensible what he has in California. 342 00:19:11,600 --> 00:19:14,560 Speaker 2: He just likes to shout slogans. He likes to shout 343 00:19:14,600 --> 00:19:17,440 Speaker 2: like some aggressive attack and generally run and hide. 344 00:19:17,520 --> 00:19:19,400 Speaker 1: It's easy to do that on Twitter. We could all 345 00:19:19,440 --> 00:19:19,760 Speaker 1: do that. 346 00:19:20,760 --> 00:19:24,480 Speaker 2: But if you really have a solid a solid record 347 00:19:24,480 --> 00:19:27,520 Speaker 2: of accomplishment and a solid set of beliefs that are 348 00:19:27,600 --> 00:19:30,320 Speaker 2: that are correct, you wouldn't you wouldn't behave the way 349 00:19:30,320 --> 00:19:31,040 Speaker 2: he behaves. 350 00:19:31,760 --> 00:19:34,359 Speaker 1: Well, we'll be at the Newsom is maybe running for 351 00:19:34,440 --> 00:19:37,439 Speaker 1: President desk at two oh five. They did release some 352 00:19:37,520 --> 00:19:40,520 Speaker 1: preview clips to try to generate excitement for the full 353 00:19:40,560 --> 00:19:43,320 Speaker 1: airing of the interview. It was recorded over the weekend, 354 00:19:43,359 --> 00:19:46,239 Speaker 1: I think in Sacramento, so we'll play some of them. 355 00:19:46,280 --> 00:19:51,560 Speaker 1: They deal with Biden's mental capacity and Newsom's relationship with Trump, 356 00:19:51,960 --> 00:19:54,520 Speaker 1: and then the whole Ron DeSantis and the migrant flight thing. 357 00:19:54,560 --> 00:19:56,639 Speaker 1: Will get to that after the news at two o'clock. 358 00:19:56,680 --> 00:19:59,640 Speaker 1: There should be some good stuff in there now. John 359 00:19:59,680 --> 00:20:02,479 Speaker 1: admitt this story on Friday, so we did some digging 360 00:20:02,600 --> 00:20:05,960 Speaker 1: over the weekend, and yes it is real. Whether or 361 00:20:05,960 --> 00:20:09,000 Speaker 1: not it's carried out is still uncertain. But there is 362 00:20:09,040 --> 00:20:12,879 Speaker 1: a plan in Ireland to cut back on two hundred 363 00:20:12,880 --> 00:20:17,040 Speaker 1: thousand cows two hundred thousand cows to help them meet 364 00:20:17,080 --> 00:20:23,440 Speaker 1: their climate coals. There is an obsession among these religious 365 00:20:23,440 --> 00:20:28,919 Speaker 1: fanatics with the farts of cows, with the methane that 366 00:20:29,000 --> 00:20:32,520 Speaker 1: comes out of cows, you know, we all blow out 367 00:20:32,520 --> 00:20:36,120 Speaker 1: a little methane every day. It's just a natural byproduct 368 00:20:36,240 --> 00:20:42,080 Speaker 1: of the digestive system in mammal in mammals, But because camels, camels, 369 00:20:42,520 --> 00:20:47,480 Speaker 1: cows live outdoors and they eat all day, they pass 370 00:20:47,560 --> 00:20:50,880 Speaker 1: gas all day, and they belch and they belch. Don't 371 00:20:50,920 --> 00:20:51,119 Speaker 1: think it. 372 00:20:51,240 --> 00:20:55,560 Speaker 2: Cow burps, cow burps, cow farts. All the gases coming 373 00:20:55,560 --> 00:20:58,440 Speaker 2: out of the cow, they claim. And I don't even 374 00:20:58,480 --> 00:21:02,800 Speaker 2: believe this. I've decided that I believe almost nothing anymore. 375 00:21:03,200 --> 00:21:06,720 Speaker 2: The idea that the cows are a big driver of 376 00:21:06,840 --> 00:21:11,320 Speaker 2: their climate war. You know, their global warming obsession is 377 00:21:11,359 --> 00:21:15,760 Speaker 2: getting a little nuts. They'd like to turn the world 378 00:21:15,920 --> 00:21:20,600 Speaker 2: vegan now easy there, No, they really would. 379 00:21:21,200 --> 00:21:25,280 Speaker 1: And that's an important distinction because that includes dairy. In fact, 380 00:21:25,520 --> 00:21:28,359 Speaker 1: I remember growing up and hearing that people loved Irish butter. 381 00:21:29,000 --> 00:21:31,639 Speaker 1: They put the apparently it's become very good in the 382 00:21:31,720 --> 00:21:34,159 Speaker 1: last to ten years, the butter from Ireland. Do you 383 00:21:34,160 --> 00:21:38,199 Speaker 1: ever see the products in stores? Yes, So that's so 384 00:21:38,240 --> 00:21:40,280 Speaker 1: it's not just about eating the meat. It's about the 385 00:21:40,320 --> 00:21:41,280 Speaker 1: dairy products too. 386 00:21:41,440 --> 00:21:44,399 Speaker 2: They want the cows not to exist, but are in 387 00:21:44,480 --> 00:21:48,200 Speaker 2: ice cream, you know, You know, all these cows were 388 00:21:48,240 --> 00:21:52,120 Speaker 2: conceived for the purposes of food, right, so they want 389 00:21:52,160 --> 00:21:56,240 Speaker 2: them not to exist and because right they can't exist 390 00:21:56,280 --> 00:21:59,560 Speaker 2: because if they did, they keep farting. Correct, I mean 391 00:21:59,600 --> 00:22:02,160 Speaker 2: they have to eat what they eat. Well, you can't 392 00:22:02,160 --> 00:22:05,280 Speaker 2: give them a diet that wouldn't lead to farting and methane. 393 00:22:05,840 --> 00:22:10,679 Speaker 1: This this comes from the Irish Agriculture Minister fact on 394 00:22:10,720 --> 00:22:13,119 Speaker 1: I'm looking at agweb dot com for the latest on this. 395 00:22:13,760 --> 00:22:18,280 Speaker 1: His name is Charlie mcconnoague and he said that they're 396 00:22:18,280 --> 00:22:21,760 Speaker 1: looking into ways to reduce messane emissions, including the two 397 00:22:21,840 --> 00:22:25,080 Speaker 1: hundred thousand cows over the next three years. Now this 398 00:22:25,119 --> 00:22:29,600 Speaker 1: would not be mandatory, it will be voluntary. They're actually 399 00:22:29,640 --> 00:22:34,360 Speaker 1: calling it a retirement exit scheme for aging farmers. Okay, 400 00:22:34,840 --> 00:22:37,560 Speaker 1: but what happens when now the farmer gets to retire 401 00:22:37,640 --> 00:22:39,560 Speaker 1: but the cow retires a different way. 402 00:22:39,720 --> 00:22:41,000 Speaker 5: Yeah, that's really there. 403 00:22:42,520 --> 00:22:47,000 Speaker 2: But what happens when they don't meet their goals? Ah see, 404 00:22:47,320 --> 00:22:52,040 Speaker 2: this is incrementalism, trust me. What they want is to 405 00:22:52,119 --> 00:22:56,520 Speaker 2: eliminate the dairy and meat cow species. That's what they 406 00:22:56,520 --> 00:22:56,919 Speaker 2: want to do. 407 00:22:57,640 --> 00:23:00,320 Speaker 1: Why would the Agricultural Minister though in Ireland want to 408 00:23:00,359 --> 00:23:02,199 Speaker 1: do that because that's kind of what he's probably been 409 00:23:02,200 --> 00:23:03,080 Speaker 1: tied up in all his. 410 00:23:03,000 --> 00:23:06,240 Speaker 2: Life because he's a progressive koop is there. I don't 411 00:23:06,240 --> 00:23:08,680 Speaker 2: know anything about him, but well, if he's behind this, 412 00:23:09,080 --> 00:23:13,680 Speaker 2: he is. His His work is self explanatory. If you're 413 00:23:13,680 --> 00:23:16,880 Speaker 2: trying to call cows because you think cows in Ireland 414 00:23:17,119 --> 00:23:20,359 Speaker 2: have something to do with your global warming, by definition, 415 00:23:20,560 --> 00:23:21,360 Speaker 2: you're a lunatic. 416 00:23:22,280 --> 00:23:25,080 Speaker 1: Well here's where it came from. The European Green Deal. 417 00:23:26,000 --> 00:23:29,240 Speaker 1: Twenty seven countries who signed on agreed to reduce greenhouse 418 00:23:29,280 --> 00:23:32,439 Speaker 1: gas emissions by at least fifty five percent by twenty thirty, 419 00:23:32,800 --> 00:23:36,119 Speaker 1: which isn't that far away. So I guess somebody in 420 00:23:36,160 --> 00:23:37,920 Speaker 1: Ireland said, how are we going to do this? Well, 421 00:23:37,960 --> 00:23:41,320 Speaker 1: we've got a lot of ag so maybe our way 422 00:23:41,320 --> 00:23:43,359 Speaker 1: of doing this versus people in cars? 423 00:23:44,200 --> 00:23:47,639 Speaker 2: The premise is stupid. Fifty five percent by twenty thirty. 424 00:23:47,840 --> 00:23:50,960 Speaker 2: Why that percentage? Why that year? Why do you want 425 00:23:51,000 --> 00:23:56,080 Speaker 2: to change people's life? How much is European cows adding 426 00:23:56,119 --> 00:23:57,000 Speaker 2: to global warming? 427 00:23:57,720 --> 00:24:01,760 Speaker 1: Oh, there's no zero practice term zero, So we're only 428 00:24:01,800 --> 00:24:04,040 Speaker 1: talking about culling the herd ten percent a year. 429 00:24:04,240 --> 00:24:07,520 Speaker 2: Okay, that's gonna have no effect on the climate. This 430 00:24:07,560 --> 00:24:08,359 Speaker 2: is what I'm saying. 431 00:24:08,400 --> 00:24:12,119 Speaker 1: This is like religious rituals where you watch weird little 432 00:24:12,200 --> 00:24:16,200 Speaker 1: tribes go through strange little rituals. Right, They wear strange clothes, 433 00:24:16,400 --> 00:24:20,080 Speaker 1: they wear strange things on their heads, they chant weird prayers, 434 00:24:20,400 --> 00:24:26,480 Speaker 1: they go through weird dances, and and you know, they 435 00:24:26,480 --> 00:24:29,200 Speaker 1: march around their churches and temples whatever, and the whole 436 00:24:29,240 --> 00:24:33,119 Speaker 1: thing really looks ludicrous. If you're not in the cult, 437 00:24:33,520 --> 00:24:36,000 Speaker 1: all things just absurd. What are you doing? What's the 438 00:24:36,000 --> 00:24:38,760 Speaker 1: point of this? What effect is this having on anybody? Nothing? 439 00:24:39,080 --> 00:24:43,200 Speaker 1: There's no effect. And that's what this is. And I'm 440 00:24:43,240 --> 00:24:46,040 Speaker 1: telling you it is. One of the defining things about 441 00:24:46,200 --> 00:24:51,600 Speaker 1: humanity in this era is that old fashioned organized church, 442 00:24:51,680 --> 00:24:53,840 Speaker 1: which is a lot of it's pretty nuts to begin with, 443 00:24:54,600 --> 00:24:58,480 Speaker 1: is fading away. But because human beings need to believe 444 00:24:58,520 --> 00:25:00,720 Speaker 1: in something, they need to have, like some sort of 445 00:25:01,040 --> 00:25:04,600 Speaker 1: spiritual order to their life, they are now worshiping the planet. 446 00:25:05,280 --> 00:25:07,880 Speaker 1: And so the way the way old. 447 00:25:07,760 --> 00:25:13,680 Speaker 2: Religions wanted to honor God with their strange rituals, now 448 00:25:13,720 --> 00:25:16,440 Speaker 2: we are honoring the planet with our strange rituals. It's 449 00:25:16,480 --> 00:25:20,199 Speaker 2: it's exactly the same type of behavior, it's just aimed 450 00:25:20,240 --> 00:25:23,240 Speaker 2: in a different direction. Rather than God sitting in another 451 00:25:23,280 --> 00:25:26,600 Speaker 2: dimension somewhere or aiming it at the upper atmosphere. 452 00:25:27,400 --> 00:25:31,200 Speaker 1: So they claim that the agricultural sector of Ireland accounts 453 00:25:31,200 --> 00:25:34,320 Speaker 1: for thirty eight percent of that nation's greenhouse gas emissions. 454 00:25:34,720 --> 00:25:37,320 Speaker 1: And I don't know who does this measurement. These numbers 455 00:25:37,320 --> 00:25:40,040 Speaker 1: are true, and it's the methane. It's also nitrous oxide 456 00:25:40,040 --> 00:25:43,239 Speaker 1: from the use of nitrogen fertilizer and manure management. As 457 00:25:43,320 --> 00:25:46,560 Speaker 1: part of this methane gas from livestock contributes to a 458 00:25:46,560 --> 00:25:50,359 Speaker 1: major portion of the world greenhouse gases. Methane supposedly accounts 459 00:25:50,359 --> 00:25:53,520 Speaker 1: for forty four percent of total life spots. But that's 460 00:25:53,520 --> 00:25:57,800 Speaker 1: how you grow food, is with the fertilizer. Well, now 461 00:25:57,800 --> 00:25:59,359 Speaker 1: you back to where you started. They don't want you 462 00:25:59,359 --> 00:26:01,640 Speaker 1: to eat that food. They don't want you to be alive, 463 00:26:02,400 --> 00:26:05,080 Speaker 1: but they no seriously alive. 464 00:26:05,960 --> 00:26:07,320 Speaker 5: I'm alive, and well, thank. 465 00:26:07,200 --> 00:26:11,800 Speaker 1: You very much, very noisy. Now PTA agrees with that. 466 00:26:11,920 --> 00:26:15,240 Speaker 1: Peta says that everyone should start taking personal responsibility by 467 00:26:15,240 --> 00:26:18,600 Speaker 1: saving the planet by going vegan. That's the that's Pita though, 468 00:26:18,880 --> 00:26:21,320 Speaker 1: and they're very upset with this plant. Although there's a 469 00:26:21,359 --> 00:26:23,480 Speaker 1: woman from the Green Party or in Ireland says, well, 470 00:26:23,520 --> 00:26:25,960 Speaker 1: what we're really talking about is dairy farmers not restocking. 471 00:26:26,119 --> 00:26:28,360 Speaker 1: In other words, they won't add cows at the same 472 00:26:28,440 --> 00:26:31,880 Speaker 1: level they were before. So the cows will be retired 473 00:26:31,920 --> 00:26:33,840 Speaker 1: and they won't die, but you don't add new ones. 474 00:26:33,840 --> 00:26:36,119 Speaker 1: So that's how the color. But it drives up the 475 00:26:36,200 --> 00:26:39,320 Speaker 1: price of meat. Oh, people still want the meat and 476 00:26:39,359 --> 00:26:41,720 Speaker 1: want the milk right in the butter. And then and 477 00:26:41,760 --> 00:26:43,920 Speaker 1: then people can't afford it. 478 00:26:43,960 --> 00:26:46,399 Speaker 5: So then they have alternatives or they eat less. 479 00:26:46,640 --> 00:26:51,119 Speaker 1: There are no alternatives. There are no there are. There 480 00:26:51,119 --> 00:26:52,800 Speaker 1: are avocados and father. 481 00:26:52,680 --> 00:26:59,400 Speaker 5: Beans, carbonzo beans. There's plenty to eat, that's right. I mean, look, 482 00:26:59,560 --> 00:27:01,520 Speaker 5: if you want it bad enough, then you're going to 483 00:27:01,560 --> 00:27:02,399 Speaker 5: pay the higher price. 484 00:27:03,359 --> 00:27:06,520 Speaker 1: Why should meat eaters be punished with this manipulation? 485 00:27:09,520 --> 00:27:12,800 Speaker 5: I don't have an answer for that. Well, I don't 486 00:27:12,800 --> 00:27:14,000 Speaker 5: have one that I want to stay. 487 00:27:14,960 --> 00:27:16,600 Speaker 1: You jumped in, I gave you the floor, and. 488 00:27:18,840 --> 00:27:19,800 Speaker 5: I'm taking the fifth. 489 00:27:19,920 --> 00:27:23,760 Speaker 1: Okay, all right, must be something awfully rude. All right, 490 00:27:24,200 --> 00:27:26,800 Speaker 1: when we come back the other side of this, the 491 00:27:26,920 --> 00:27:31,200 Speaker 1: attempt at getting people to eat meat alternatives. You won't 492 00:27:31,240 --> 00:27:35,200 Speaker 1: believe how much this is colossally collapsed. For talking about 493 00:27:35,400 --> 00:27:38,239 Speaker 1: some of the purveyors like Beyond Meat, We'll tell you 494 00:27:38,240 --> 00:27:41,800 Speaker 1: that story coming up. John and Ken KFI AM six forty. 495 00:27:41,800 --> 00:27:44,040 Speaker 1: We're live everywhere the iHeartRadio app. 496 00:27:44,800 --> 00:27:48,160 Speaker 4: You're listening to John and Ken on demand from KFI 497 00:27:48,400 --> 00:27:49,680 Speaker 4: AM six forty. 498 00:27:52,800 --> 00:27:56,040 Speaker 2: I AM six forty live everywhere on the iHeartRadio app. 499 00:27:56,440 --> 00:27:58,439 Speaker 1: Yeah, we're on from one to four and if you 500 00:27:58,480 --> 00:28:00,720 Speaker 1: miss anything, you can pick it up check out the 501 00:28:00,800 --> 00:28:03,560 Speaker 1: on demand podcast at caf i am six forty dot 502 00:28:03,560 --> 00:28:06,520 Speaker 1: com or the iHeartRadio app. And leading off the two 503 00:28:06,520 --> 00:28:09,359 Speaker 1: o'clock hour, we'll drag out the one of the latest 504 00:28:09,359 --> 00:28:13,440 Speaker 1: desks we have. Gavin Newsom is running for president, is 505 00:28:13,480 --> 00:28:15,760 Speaker 1: maybe running for president, or is not running for president? 506 00:28:15,800 --> 00:28:19,120 Speaker 1: Take your pick. He made a big appearance sitting down 507 00:28:19,280 --> 00:28:23,080 Speaker 1: with the enemy. I guess Sean Hannity of Fox News 508 00:28:23,440 --> 00:28:26,600 Speaker 1: in Depth interview so brave, so courageous. Yeah, he wants 509 00:28:26,640 --> 00:28:28,480 Speaker 1: to show you. He'll walk right into the lions Dan 510 00:28:28,520 --> 00:28:30,760 Speaker 1: and he'll take him on. John, Right, we got to 511 00:28:30,840 --> 00:28:32,439 Speaker 1: organize what does it say in this clip we have 512 00:28:32,480 --> 00:28:33,200 Speaker 1: in the desk, but. 513 00:28:33,160 --> 00:28:35,120 Speaker 2: From the bottom up, not that's top down, because Sean 514 00:28:35,160 --> 00:28:36,240 Speaker 2: Hannity is so frightening. 515 00:28:37,440 --> 00:28:37,640 Speaker 3: Wow. 516 00:28:37,720 --> 00:28:40,400 Speaker 1: See if he uses any what will you have? Are clips? 517 00:28:40,400 --> 00:28:44,760 Speaker 1: They're just short clips. Yeah, The whole interview runs tonight 518 00:28:44,800 --> 00:28:47,959 Speaker 1: and we'll probably have more tomorrow to choose from. But 519 00:28:48,800 --> 00:28:51,200 Speaker 1: we do have a few about Biden. We have one 520 00:28:51,200 --> 00:28:53,840 Speaker 1: about Biden. We have one about and we mentioned this 521 00:28:53,880 --> 00:28:56,600 Speaker 1: a few weeks ago. Newsome likes to brag about how 522 00:28:56,640 --> 00:28:59,400 Speaker 1: great a relationship he had with Trump when Trump was president. 523 00:29:00,480 --> 00:29:02,520 Speaker 1: And then the last one is about, of course the 524 00:29:02,560 --> 00:29:05,800 Speaker 1: migrant flights by Florida Governor Ron Deasan. Maybe he also 525 00:29:05,840 --> 00:29:07,800 Speaker 1: God Times also did a story on that over the weekend, 526 00:29:07,840 --> 00:29:10,040 Speaker 1: which is worth talking about two next hour. Maybe ego 527 00:29:10,080 --> 00:29:14,520 Speaker 1: maniacs just have a natural affinity for each other. That 528 00:29:14,600 --> 00:29:18,040 Speaker 1: could be Trump and Newsome. Man, Yeah, I think well, 529 00:29:18,320 --> 00:29:20,600 Speaker 1: like you said, they both wanted something right, you know, 530 00:29:20,640 --> 00:29:23,000 Speaker 1: it was actually Newsome wanted money from the federal government. 531 00:29:23,000 --> 00:29:25,040 Speaker 1: It was over the fires when Trump came out here 532 00:29:25,160 --> 00:29:28,640 Speaker 1: a few years back, so they both could look good 533 00:29:28,640 --> 00:29:31,640 Speaker 1: to use each other. We were talking in the last 534 00:29:31,640 --> 00:29:34,640 Speaker 1: segment about a plan in Ireland to cut back on 535 00:29:34,720 --> 00:29:40,000 Speaker 1: the dairy cow population in that nation to do something 536 00:29:40,080 --> 00:29:45,360 Speaker 1: about climate change. Four years ago. It was a company 537 00:29:45,400 --> 00:29:50,560 Speaker 1: called Beyond Meat, Remember the two biggies Beyond Meat and Impossible. 538 00:29:50,880 --> 00:29:53,520 Speaker 1: I actually saw commercially yesterday for impossible. I hadn't seen 539 00:29:53,520 --> 00:29:56,160 Speaker 1: one in years. I was like, wow, they're trying to 540 00:29:56,160 --> 00:30:01,800 Speaker 1: make a comeback. It was just wild interest in these 541 00:30:01,840 --> 00:30:06,080 Speaker 1: two meat alternative producers. The idea that you could get 542 00:30:06,280 --> 00:30:10,640 Speaker 1: all the flavor of a hamburger but without the beef 543 00:30:10,680 --> 00:30:13,480 Speaker 1: and the bad health effects of eating beef. There's not 544 00:30:13,640 --> 00:30:16,640 Speaker 1: bad health effects of eating beef. Well, that's how they market. 545 00:30:16,800 --> 00:30:20,400 Speaker 1: But that was lies. Everything about this product is lies. 546 00:30:20,640 --> 00:30:23,400 Speaker 1: It didn't taste like beef, it doesn't have the nutrition 547 00:30:23,520 --> 00:30:27,440 Speaker 1: of beef. Beef is not bad for you. It's it's 548 00:30:27,480 --> 00:30:29,959 Speaker 1: just one lie on top of another, on top of another, 549 00:30:30,120 --> 00:30:31,800 Speaker 1: and this stuff takes root people. 550 00:30:31,800 --> 00:30:34,680 Speaker 5: See why do so many doctors say not to eat 551 00:30:34,720 --> 00:30:35,920 Speaker 5: a lot of red meat? 552 00:30:36,120 --> 00:30:36,880 Speaker 1: A lot? 553 00:30:37,240 --> 00:30:39,840 Speaker 5: Well, okay, but you do you eat it every single days? 554 00:30:39,880 --> 00:30:44,120 Speaker 1: Not a lot? I don't know. I don't think it 555 00:30:44,200 --> 00:30:46,800 Speaker 1: is a lie. But what's the definition of a lot 556 00:30:47,000 --> 00:30:51,760 Speaker 1: every day? Why? Why is that doctors. 557 00:30:51,240 --> 00:30:56,040 Speaker 5: Say what the studies show? Maybe once a week, once 558 00:30:56,080 --> 00:30:58,880 Speaker 5: a week, yes, not seven days a week. 559 00:30:58,960 --> 00:31:00,560 Speaker 2: You're planning to get you down to something? Is it 560 00:31:00,640 --> 00:31:03,920 Speaker 2: pop possible? My ancestors came out of the Polish caves, 561 00:31:04,560 --> 00:31:09,640 Speaker 2: and most of my family lived long. We've got good 562 00:31:09,640 --> 00:31:12,960 Speaker 2: genetics when it comes to longevity. It's possible that that 563 00:31:12,960 --> 00:31:19,520 Speaker 2: that my tribe, my breed evolved to tolerate meat because 564 00:31:19,960 --> 00:31:21,640 Speaker 2: there was a lot of meat eaters in my family. 565 00:31:22,640 --> 00:31:26,320 Speaker 1: Do you have your appendix, John, Yes, Okay, well there 566 00:31:26,360 --> 00:31:26,600 Speaker 1: you go. 567 00:31:27,320 --> 00:31:28,640 Speaker 5: I have my appendix as well. 568 00:31:28,760 --> 00:31:32,760 Speaker 1: Well, the appendix was used by the cavemen to digest 569 00:31:32,880 --> 00:31:36,040 Speaker 1: raw meat. Is that right? Yes? I didn't know that. 570 00:31:36,040 --> 00:31:37,800 Speaker 5: That's why Eric turn off your own mic. 571 00:31:37,920 --> 00:31:41,680 Speaker 1: No, that's that's why we have an appendix. 572 00:31:42,800 --> 00:31:45,400 Speaker 2: I didn't know they ever found the reason for an appendix. 573 00:31:45,520 --> 00:31:49,720 Speaker 1: Yeah, oh well there take that. So if we all 574 00:31:49,720 --> 00:31:51,520 Speaker 1: have appendixes that takes care of the meat, is that 575 00:31:52,040 --> 00:31:54,719 Speaker 1: I mean? I bet it probably helps? No, I actually 576 00:31:54,880 --> 00:31:59,880 Speaker 1: I'm being serious. Is that I think different different let's say. 577 00:32:00,080 --> 00:32:04,480 Speaker 2: Groups, they they evolved based on what was available to 578 00:32:04,560 --> 00:32:09,920 Speaker 2: eat where they're tribe formed, and I think in Poland 579 00:32:09,920 --> 00:32:11,880 Speaker 2: there was there was always a lot of farming going 580 00:32:11,920 --> 00:32:14,560 Speaker 2: on and that would be the main source of of 581 00:32:14,720 --> 00:32:15,640 Speaker 2: prot So you think. 582 00:32:15,480 --> 00:32:19,520 Speaker 1: There's something with Polish genetics that they can tolerate more 583 00:32:19,560 --> 00:32:21,800 Speaker 1: meat and not get they really use. But then you're 584 00:32:21,840 --> 00:32:25,480 Speaker 1: sort of admitting there can be bad health effects. It's 585 00:32:25,640 --> 00:32:28,040 Speaker 1: it's it's the older you're just saying the Polish may 586 00:32:28,080 --> 00:32:31,560 Speaker 1: have carved out of If anything is eaten to excess, 587 00:32:32,280 --> 00:32:34,320 Speaker 1: you can anything can cause I know. Then you two 588 00:32:34,360 --> 00:32:36,680 Speaker 1: debated what is excess. He says meat every. 589 00:32:36,560 --> 00:32:38,720 Speaker 5: Day, seven days a week. 590 00:32:38,920 --> 00:32:42,520 Speaker 1: I mean, I think he only eats two meals a day, 591 00:32:42,520 --> 00:32:44,040 Speaker 1: am I right, Well, you have a bagel in the morning, 592 00:32:44,120 --> 00:32:45,960 Speaker 1: so I don't know what that that's not meat? So yeah, 593 00:32:46,040 --> 00:32:49,480 Speaker 1: usually usually just once a day and it fills me 594 00:32:49,600 --> 00:32:50,320 Speaker 1: up for hours. 595 00:32:50,360 --> 00:32:51,040 Speaker 3: I can't. 596 00:32:51,120 --> 00:32:54,320 Speaker 1: I can't meat once a day most of the time. Oh, 597 00:32:54,320 --> 00:32:56,960 Speaker 1: then that's not excessive. Sometimes twice seven days a week, 598 00:32:58,080 --> 00:33:00,840 Speaker 1: six Yeah, but once a day is not. But that 599 00:33:01,000 --> 00:33:01,160 Speaker 1: you know. 600 00:33:01,280 --> 00:33:05,240 Speaker 2: See, my son is heavily into nutrition because he's an athlete, 601 00:33:05,360 --> 00:33:08,239 Speaker 2: and he says, beef has all kinds of micronutrients that 602 00:33:08,320 --> 00:33:14,480 Speaker 2: you can't get from other protein rich foods, and that's 603 00:33:14,840 --> 00:33:17,680 Speaker 2: one it's actually good for your health to have all 604 00:33:17,720 --> 00:33:19,320 Speaker 2: these other micronutrients in there. 605 00:33:20,360 --> 00:33:23,440 Speaker 1: Well, now here's one thing we all agree on that 606 00:33:23,560 --> 00:33:27,520 Speaker 1: this idea of these meat substitutes was atrocious and now 607 00:33:28,080 --> 00:33:30,920 Speaker 1: the failure is cataclysmic. Let me just read you this 608 00:33:31,440 --> 00:33:35,040 Speaker 1: beyond Meat went public in twenty nineteen. At the time, 609 00:33:35,560 --> 00:33:38,440 Speaker 1: the company was worth more than fourteen billion. Do you 610 00:33:38,520 --> 00:33:41,200 Speaker 1: know how much it was worth on Friday Hunch eight 611 00:33:41,240 --> 00:33:43,800 Speaker 1: hundred and twenty seven million dollars. That is a ninety 612 00:33:43,800 --> 00:33:48,240 Speaker 1: five percent collapse. Cause whatever they were serving tasted terrible. 613 00:33:48,280 --> 00:33:51,640 Speaker 1: Now you never touched those fake meats. I did. I 614 00:33:51,680 --> 00:33:53,440 Speaker 1: went to Carls Junior and had one of them. I 615 00:33:53,440 --> 00:33:56,440 Speaker 1: think it was beyond meat. Did it suck? It did 616 00:33:56,440 --> 00:33:59,160 Speaker 1: not suck, but it was not impressive, and I said 617 00:33:59,200 --> 00:34:01,480 Speaker 1: I'd rather stick with the regular burger. Just didn't really 618 00:34:01,920 --> 00:34:04,920 Speaker 1: there was something kind of slimy about it. And then 619 00:34:04,960 --> 00:34:07,520 Speaker 1: I think that's the one that has the peas in it, 620 00:34:07,760 --> 00:34:10,520 Speaker 1: smashed mashed peas and stuff. And I mean it didn't 621 00:34:10,520 --> 00:34:13,960 Speaker 1: taste really bad. It just did not notice motivate me. 622 00:34:14,480 --> 00:34:16,719 Speaker 1: And I say this a lot about restaurants. You want 623 00:34:16,719 --> 00:34:18,120 Speaker 1: to come back here, you don't want to come back here? 624 00:34:18,160 --> 00:34:20,640 Speaker 1: Or are you neutral? And in that case, I was like, 625 00:34:20,680 --> 00:34:23,160 Speaker 1: I'm not coming back for this. It was just, well, 626 00:34:23,200 --> 00:34:27,040 Speaker 1: you're not alone, not a motivator beyond me. It shares 627 00:34:27,080 --> 00:34:30,160 Speaker 1: have fallen ninety five percent over the last four years. 628 00:34:30,719 --> 00:34:33,480 Speaker 1: Now nobody's nobody wants to bet any money on this 629 00:34:33,719 --> 00:34:35,880 Speaker 1: because the product sucks. 630 00:34:36,640 --> 00:34:41,200 Speaker 6: An They talked to an agricultural economics professor at UC 631 00:34:41,400 --> 00:34:43,880 Speaker 6: Davis who says, part of the problem here is the 632 00:34:43,880 --> 00:34:45,600 Speaker 6: way that they marketed this like it was going to 633 00:34:45,719 --> 00:34:46,920 Speaker 6: cure all that. 634 00:34:47,160 --> 00:34:49,000 Speaker 1: And this is what you mocked when I first talked 635 00:34:49,040 --> 00:34:51,359 Speaker 1: about this a few minutes ago, that they were trying 636 00:34:51,360 --> 00:34:53,759 Speaker 1: to tell people you can get all the flavor and 637 00:34:53,840 --> 00:34:56,439 Speaker 1: joy of eating meat without the harmful effects of eating meat. 638 00:34:56,480 --> 00:34:59,280 Speaker 1: And he said they oversold it. They really gave people 639 00:34:59,320 --> 00:35:00,440 Speaker 1: a bag of crap. 640 00:35:01,200 --> 00:35:01,359 Speaker 3: Oh. 641 00:35:01,360 --> 00:35:03,680 Speaker 1: Here it is Deborah Mark. Americans eat about three burgers 642 00:35:03,680 --> 00:35:07,440 Speaker 1: a week of God's above the. 643 00:35:07,360 --> 00:35:11,360 Speaker 5: Act exactly three times a week versus six or seven. 644 00:35:11,440 --> 00:35:12,280 Speaker 5: That's a big difference. 645 00:35:12,320 --> 00:35:15,879 Speaker 1: I'm above averaging many ways, not just my medium. Okay, 646 00:35:16,080 --> 00:35:19,719 Speaker 1: but this is this is one hysterical blog post from 647 00:35:19,760 --> 00:35:23,600 Speaker 1: twenty nineteen. Americans eat three burgers a week about but 648 00:35:23,680 --> 00:35:26,400 Speaker 1: if they switched just one of those beef burgers to 649 00:35:26,440 --> 00:35:29,920 Speaker 1: a Beyond Burger for a year, that's like taking that's 650 00:35:29,960 --> 00:35:32,560 Speaker 1: too funny. That's like taking twelve million cars off the 651 00:35:32,640 --> 00:35:35,120 Speaker 1: road for an entire year. The company wrote that in 652 00:35:35,120 --> 00:35:38,120 Speaker 1: a blog post in twenty nineteen, because again, part of 653 00:35:38,160 --> 00:35:40,560 Speaker 1: this was also about saving the planet because the beef 654 00:35:40,719 --> 00:35:44,440 Speaker 1: uses water and energy and those things. The thing I 655 00:35:44,480 --> 00:35:47,200 Speaker 1: don't believe that. I think they made up that statistic. 656 00:35:47,680 --> 00:35:52,520 Speaker 1: That makes no sense. Why would that's that's absurd. Well, 657 00:35:52,560 --> 00:35:54,759 Speaker 1: and I think they mean all Americans, So all the 658 00:35:54,800 --> 00:35:56,680 Speaker 1: Americans to eat about three burgers a week if they 659 00:35:56,680 --> 00:35:59,719 Speaker 1: cut back too, it couldn't be one American who cuts 660 00:35:59,719 --> 00:36:05,000 Speaker 1: back to do burgers. If we can just completely change humanity. 661 00:36:04,920 --> 00:36:06,240 Speaker 5: Try a quen Wah burger. 662 00:36:08,080 --> 00:36:12,520 Speaker 1: When I understand what quen wa is, I honestly don't. 663 00:36:12,640 --> 00:36:15,239 Speaker 5: I had a quen Wah salad yesterday. It's delicious, it's 664 00:36:15,280 --> 00:36:17,920 Speaker 5: full of protein. It's it's like a grain, but it 665 00:36:17,960 --> 00:36:20,400 Speaker 5: has a lot of protein, and oh my gosh, if 666 00:36:20,440 --> 00:36:23,239 Speaker 5: you have fried quen wa, it tastes so good. But 667 00:36:23,400 --> 00:36:25,520 Speaker 5: I have had quen Wah burgers because I don't. I 668 00:36:25,560 --> 00:36:28,400 Speaker 5: don't eat the fake meat. And no, it doesn't taste 669 00:36:28,440 --> 00:36:30,000 Speaker 5: like a burger because I don't want the taste of 670 00:36:30,000 --> 00:36:32,719 Speaker 5: a burger. But it's amazing and you get a lot 671 00:36:32,760 --> 00:36:33,720 Speaker 5: of protein. 672 00:36:33,480 --> 00:36:36,760 Speaker 1: So don't call it a burger. Well, why did they insist? 673 00:36:36,840 --> 00:36:37,919 Speaker 1: I'm calling it just. 674 00:36:37,840 --> 00:36:41,040 Speaker 5: Like, Okay, we're going to go back to the cocon. 675 00:36:41,680 --> 00:36:43,239 Speaker 1: They put it on the grill that's in the shape 676 00:36:43,280 --> 00:36:45,239 Speaker 1: of a burger, so it has kind of that whole Yeah. 677 00:36:45,239 --> 00:36:46,960 Speaker 1: I know they're trying to fool people, That's what they're 678 00:36:46,960 --> 00:36:49,840 Speaker 1: trying to do. I've been disappointed by most alternative burgers 679 00:36:49,880 --> 00:36:52,920 Speaker 1: and veggie burgers. The only one I ever had, and 680 00:36:52,960 --> 00:36:55,560 Speaker 1: I've mentioned this before is Houston's Restaurant had one, and 681 00:36:55,600 --> 00:36:58,160 Speaker 1: I forget what they put in it, but it had 682 00:36:58,239 --> 00:37:02,040 Speaker 1: that grilled charred flavor or two, which is what made 683 00:37:02,080 --> 00:37:04,480 Speaker 1: it extraordinard. I'm not interested in this. I'm not interested 684 00:37:04,760 --> 00:37:08,120 Speaker 1: in taking twelve million cars off the road. Really, I 685 00:37:08,160 --> 00:37:09,880 Speaker 1: want to live my line. I don't think they understand 686 00:37:09,920 --> 00:37:12,879 Speaker 1: how burned out most people are by this stuff. It's 687 00:37:12,920 --> 00:37:14,880 Speaker 1: just all right, speaking of burned out, we'll be at 688 00:37:14,920 --> 00:37:18,040 Speaker 1: the Gavin Newsom is maybe sort of possibly running for 689 00:37:18,120 --> 00:37:21,200 Speaker 1: president desk. He did do this interview with Fox News 690 00:37:21,239 --> 00:37:24,080 Speaker 1: as Sean Hannity. We have some preview clips. Johnny KENKFI 691 00:37:24,160 --> 00:37:27,399 Speaker 1: AM six forty Live Everywhere, the iHeartRadio app, Debora Mark 692 00:37:27,440 --> 00:37:29,839 Speaker 1: Live in the twenty four hour CAFI Newsroom. Hey, you've 693 00:37:29,840 --> 00:37:31,520 Speaker 1: been listening to the John and Ken Show. You can 694 00:37:31,520 --> 00:37:34,839 Speaker 1: always hear us live on CAFI AM six forty one 695 00:37:34,920 --> 00:37:38,040 Speaker 1: pm to four pm every Monday through Friday, and of course, 696 00:37:38,160 --> 00:37:41,040 Speaker 1: anytime on demand on the iHeartRadio app