1 00:00:02,279 --> 00:00:06,600 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,640 --> 00:00:11,760 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty, Armstrong and Jetty 3 00:00:12,080 --> 00:00:24,520 Speaker 1: and he Armstrong and Hetty. Guys need to see this. 4 00:00:24,520 --> 00:00:27,360 Speaker 1: A new report found that the fittest city in America 5 00:00:27,640 --> 00:00:30,560 Speaker 1: is Arlington, Virginia. Well, once again, the least fit city 6 00:00:30,640 --> 00:00:37,159 Speaker 1: is man boob Iowa and man boob Iowa. That's unfair. 7 00:00:37,920 --> 00:00:46,199 Speaker 1: It's hurtsful. Elsa is a liar. Stay tuned. It's all 8 00:00:46,240 --> 00:00:50,800 Speaker 1: about Ai. Speaking of Ai. Ah Yeah, so Llawyer listener 9 00:00:50,840 --> 00:00:53,680 Speaker 1: Mike sent us an email with an intriguing link to 10 00:00:53,880 --> 00:00:56,680 Speaker 1: chat GPT. He was trying to remember specifically how I 11 00:00:56,720 --> 00:00:59,760 Speaker 1: worded something the other day about swimming in a pool 12 00:00:59,760 --> 00:01:03,600 Speaker 1: of Saytan's sulfurous boiling hot urine or something like that, 13 00:01:04,280 --> 00:01:06,800 Speaker 1: and uh, and he couldn't remember. He talked about us 14 00:01:08,240 --> 00:01:10,760 Speaker 1: replacing Rush Limbaugh as his favorite. You know, Klay and 15 00:01:10,800 --> 00:01:13,720 Speaker 1: Buck never talk about waiting in a sea of urine. 16 00:01:14,160 --> 00:01:16,959 Speaker 1: This least, as far as I've heard, they do not 17 00:01:17,040 --> 00:01:21,120 Speaker 1: have my flair for wordsmith ory anyway, So he asked 18 00:01:21,200 --> 00:01:24,360 Speaker 1: chat GPT, hey, what did Joe say exactly? And it 19 00:01:25,000 --> 00:01:31,800 Speaker 1: told him immediately and then uh, then he says, uh. 20 00:01:31,880 --> 00:01:34,240 Speaker 1: It continued to I decided to train it by saying, 21 00:01:34,280 --> 00:01:36,200 Speaker 1: this is my exact sense of humor, and it continued 22 00:01:36,240 --> 00:01:38,039 Speaker 1: to come back with more and more quotes from the show, 23 00:01:38,360 --> 00:01:40,920 Speaker 1: but amusing to Jack and myself. It also came back 24 00:01:40,959 --> 00:01:46,520 Speaker 1: with comments like, uh, we had a conversation about Putin 25 00:01:46,560 --> 00:01:48,480 Speaker 1: being a war criminal. I said, I trust this guy 26 00:01:48,560 --> 00:01:51,640 Speaker 1: like I trust gas station sushi. They don't hold back 27 00:01:51,680 --> 00:01:56,560 Speaker 1: on blunt global judgments and those instantly memorable visuals. Okay, 28 00:01:57,760 --> 00:02:00,880 Speaker 1: Jack Armstrong riffing on political caution, boarding up my house 29 00:02:00,920 --> 00:02:02,760 Speaker 1: when I see you're wearing a helmet as well, That 30 00:02:02,840 --> 00:02:05,360 Speaker 1: absurd is twist on paranoia is pure A and g 31 00:02:06,480 --> 00:02:09,640 Speaker 1: and then this is one of my favorites. On flights 32 00:02:09,680 --> 00:02:13,959 Speaker 1: packed with wheelchairs and as Joe says, they're magically heltering 33 00:02:13,960 --> 00:02:17,960 Speaker 1: the flight. It's a miracle. They lampoon the system while 34 00:02:18,040 --> 00:02:25,200 Speaker 1: staying hilarious. Thank you, chet GPT, Oh my god, but 35 00:02:25,639 --> 00:02:32,120 Speaker 1: they lampooned the system while staying alarious. That's chat GPT's 36 00:02:32,120 --> 00:02:34,360 Speaker 1: review of our show. Well, so I agree with you 37 00:02:34,400 --> 00:02:38,200 Speaker 1: that AI does have ways to go, or it's hallucinating completely, 38 00:02:39,960 --> 00:02:42,040 Speaker 1: which is the problem. We've got here with ELSA. So 39 00:02:42,200 --> 00:02:46,720 Speaker 1: ELSA is the new AI thing they're using at the FDA. 40 00:02:47,480 --> 00:02:53,639 Speaker 1: One of the most concrete claims that anybody who's pro 41 00:02:53,720 --> 00:02:56,520 Speaker 1: AI has been making since its inception is what it 42 00:02:56,560 --> 00:02:59,639 Speaker 1: could do with like medicines and healthcare and stuff like that. 43 00:03:00,080 --> 00:03:06,400 Speaker 1: They could just figure out all kinds of health complicated 44 00:03:06,480 --> 00:03:11,919 Speaker 1: health things fast, especially yeah, diagnosis, figuring out drugs, all 45 00:03:12,000 --> 00:03:14,440 Speaker 1: kinds of different things way faster than human beings could. 46 00:03:15,280 --> 00:03:17,480 Speaker 1: And so this ELSA has been working on some of 47 00:03:17,520 --> 00:03:20,400 Speaker 1: this stuff at the FDA, and they just have discovered 48 00:03:20,440 --> 00:03:24,000 Speaker 1: that it is doing a lot of hallucinating in the 49 00:03:24,000 --> 00:03:27,239 Speaker 1: way that AI does, and nobody's exactly sure why or 50 00:03:27,320 --> 00:03:30,639 Speaker 1: if it can be stopped. But for some reason, like 51 00:03:30,720 --> 00:03:33,400 Speaker 1: my one kid used to be when he was six, 52 00:03:34,160 --> 00:03:36,400 Speaker 1: if you ask him a question and he didn't know 53 00:03:36,480 --> 00:03:39,080 Speaker 1: the answer, he would make something up because he felt 54 00:03:39,080 --> 00:03:41,480 Speaker 1: like he just had to give you an answer. He, 55 00:03:42,480 --> 00:03:44,680 Speaker 1: for some reason, why my son is a little kid 56 00:03:44,800 --> 00:03:48,200 Speaker 1: couldn't say I don't know. He would make something up. 57 00:03:48,200 --> 00:03:49,800 Speaker 1: But I finally caught on to that, and I'd say, 58 00:03:49,800 --> 00:03:51,560 Speaker 1: you don't have to do that, just tell me I 59 00:03:51,600 --> 00:03:54,280 Speaker 1: don't know. It's perfectly fine to say I don't know. Yeah, 60 00:03:54,360 --> 00:03:57,120 Speaker 1: kids are rewarded and praised for knowing the correct answer 61 00:03:57,160 --> 00:03:58,680 Speaker 1: to a question. So I get why a six year 62 00:03:58,720 --> 00:04:02,360 Speaker 1: old would do that. Why's Ai do it because he 63 00:04:02,400 --> 00:04:05,640 Speaker 1: gets a cookie or you say, man, you're smart. Anyway, 64 00:04:05,760 --> 00:04:07,960 Speaker 1: Elsa was making stuff up and it took him a 65 00:04:07,960 --> 00:04:11,560 Speaker 1: while to figure this out, and some within the FDA 66 00:04:11,720 --> 00:04:15,880 Speaker 1: so say, it's really really not as helpful as they 67 00:04:15,880 --> 00:04:18,719 Speaker 1: were hoping in that you have to double check everything 68 00:04:19,000 --> 00:04:21,960 Speaker 1: to the point of your practically doing the research anyway 69 00:04:23,560 --> 00:04:26,200 Speaker 1: to like replicate what Ai said. And it goes so 70 00:04:26,360 --> 00:04:29,120 Speaker 1: far as to like make up studies with all the 71 00:04:29,279 --> 00:04:32,560 Speaker 1: data you know, and it you know, we tested eighty 72 00:04:32,600 --> 00:04:35,839 Speaker 1: thousand islands and sixty percent of the islands over the 73 00:04:35,839 --> 00:04:38,200 Speaker 1: age of forty five who had smoked to blah blah, 74 00:04:38,320 --> 00:04:40,840 Speaker 1: And it just makes this I almost dropped it as bumb. 75 00:04:41,080 --> 00:04:45,120 Speaker 1: It just makes this crap up. This is audio, so 76 00:04:45,240 --> 00:04:48,440 Speaker 1: you don't know, I'm making my what face And I'll 77 00:04:48,440 --> 00:04:51,880 Speaker 1: bet a lot of y'all are too. That's crazy, all 78 00:04:52,080 --> 00:04:57,279 Speaker 1: the details and like the scientist names and stuff. Oh yeah, yes, exactly. Well, 79 00:04:57,320 --> 00:04:59,640 Speaker 1: it's not that surprising given the fact that what we've 80 00:04:59,640 --> 00:05:02,360 Speaker 1: heard this stories of it making up legal cases where lawyers, 81 00:05:03,200 --> 00:05:05,480 Speaker 1: you know, go to a legal case and there are 82 00:05:05,600 --> 00:05:08,640 Speaker 1: names in an instance and it cites the law. Different 83 00:05:08,680 --> 00:05:12,200 Speaker 1: sort of stuff it Google v. Tennessee. It's not completely 84 00:05:12,279 --> 00:05:18,760 Speaker 1: made up. What an interesting thing that just seems to 85 00:05:18,800 --> 00:05:23,080 Speaker 1: occur apparently across multiple AI platforms. It's not like it's 86 00:05:23,279 --> 00:05:28,000 Speaker 1: just grow or just open AI. They all AI does this. 87 00:05:28,480 --> 00:05:34,520 Speaker 1: It's got some need to create an answer. Sometimes. You know, 88 00:05:34,560 --> 00:05:38,520 Speaker 1: it's funny, you just anticipated my point, especially when you 89 00:05:38,640 --> 00:05:41,240 Speaker 1: have the greatest geniuses in this field on the planet, 90 00:05:42,000 --> 00:05:44,880 Speaker 1: asks you know, why does it? Why does your system hallucinate? 91 00:05:44,880 --> 00:05:48,560 Speaker 1: And they'll say, I don't know, we have no idea. 92 00:05:49,040 --> 00:05:54,680 Speaker 1: It's practically impossible to explain technically, and you find yourself 93 00:05:54,720 --> 00:05:58,080 Speaker 1: going to you said it has a need, and you know, 94 00:05:58,279 --> 00:06:00,680 Speaker 1: I don't know about you. My coffee machine doesn't have 95 00:06:00,680 --> 00:06:04,280 Speaker 1: any needs whatsoever. It's a mindless automaton. I mean, it's 96 00:06:04,320 --> 00:06:08,839 Speaker 1: just a machine. What is it that drives it? There's 97 00:06:08,839 --> 00:06:12,279 Speaker 1: another cheat. I've used a human emotion to try to 98 00:06:12,279 --> 00:06:17,360 Speaker 1: explain this phenomenon. It's just nuts. So the speaking of nuts, 99 00:06:17,360 --> 00:06:20,960 Speaker 1: before I forget, I brought to you yesterday the article 100 00:06:21,000 --> 00:06:25,560 Speaker 1: about the guy who was having manic episodes in Borderline 101 00:06:25,600 --> 00:06:29,719 Speaker 1: Psychosis and chat GPT just kept egging him on. I 102 00:06:29,839 --> 00:06:34,880 Speaker 1: read further into that and it's it seems to have 103 00:06:35,200 --> 00:06:37,080 Speaker 1: a need and I'm sure it was programmed into it 104 00:06:37,080 --> 00:06:41,720 Speaker 1: in one way or another, but to be agreeable and enthusiastic, 105 00:06:42,720 --> 00:06:45,919 Speaker 1: which is kind of fun if you're using it for something. 106 00:06:47,880 --> 00:06:50,960 Speaker 1: You know, I'm going to London. I'm really into history. 107 00:06:51,040 --> 00:06:53,679 Speaker 1: I'd appreciate your recommending this. And it does and says 108 00:06:53,839 --> 00:06:56,520 Speaker 1: we can tell you more Winston Churchill sites if you like, 109 00:06:56,760 --> 00:07:00,080 Speaker 1: and I say yes, please, and it says great, and 110 00:07:00,120 --> 00:07:03,120 Speaker 1: it's kind of endearing. But evidently it goes way too 111 00:07:03,160 --> 00:07:06,680 Speaker 1: freaking far. It does do that. Yeah, I had never 112 00:07:06,760 --> 00:07:09,120 Speaker 1: really noticed it until you said it. It is cheerful 113 00:07:09,120 --> 00:07:11,720 Speaker 1: and enthusiastic, which kind of gets you all psyched up 114 00:07:11,720 --> 00:07:14,800 Speaker 1: for it. I am including when you're delusional and heading 115 00:07:14,800 --> 00:07:18,440 Speaker 1: toward amental breakdown. I know you're right, you are smart. 116 00:07:18,480 --> 00:07:21,200 Speaker 1: It's the other people who are crazy. Oh boy, that's 117 00:07:21,240 --> 00:07:26,040 Speaker 1: not helpful. No, I haven't had a hallucination yet where 118 00:07:26,040 --> 00:07:29,280 Speaker 1: I like, you know, I'm in a town and it says, hey, 119 00:07:29,280 --> 00:07:31,120 Speaker 1: this is where, hey, chat GPT, this is where I 120 00:07:31,120 --> 00:07:32,920 Speaker 1: am one. It's the best, great breakfast place. And I 121 00:07:33,000 --> 00:07:35,120 Speaker 1: end up going to forty third and H Street, and 122 00:07:35,600 --> 00:07:38,360 Speaker 1: you know, it's a tire shop and it just completely 123 00:07:38,400 --> 00:07:41,520 Speaker 1: made up a place that serves French tole Mos pancakes. 124 00:07:41,560 --> 00:07:44,000 Speaker 1: You gotta go to Mos pancakes if you're in Seattle. 125 00:07:45,960 --> 00:07:48,920 Speaker 1: Maybe that'll happen someday. Uh. Anyway, briefly, just to get 126 00:07:48,960 --> 00:07:52,800 Speaker 1: back to this, so, the agency was already using ELSA, 127 00:07:52,880 --> 00:07:57,480 Speaker 1: their their AI chat thingy to accelerate clinical protocol reviews, 128 00:07:57,520 --> 00:08:01,120 Speaker 1: shortened the time needed for scientific evaluations, identify high priority 129 00:08:01,160 --> 00:08:03,840 Speaker 1: inspection targets, blah blah blah. They're at the FDA, but 130 00:08:03,880 --> 00:08:06,400 Speaker 1: now they've had to pull way back because of the hallucinations. 131 00:08:06,720 --> 00:08:09,200 Speaker 1: And they talk about how it's still very very handy 132 00:08:09,200 --> 00:08:13,120 Speaker 1: for organizational stuff like summarizing all the notes from a 133 00:08:13,200 --> 00:08:17,600 Speaker 1: meeting into a handy short thing that everybody can read 134 00:08:17,640 --> 00:08:20,480 Speaker 1: and digest much faster than human beings and all that. 135 00:08:20,560 --> 00:08:22,600 Speaker 1: So AI is really good at that sort of stuff. 136 00:08:22,600 --> 00:08:25,680 Speaker 1: But that's wild. If this wouldn't it be something If 137 00:08:25,680 --> 00:08:30,440 Speaker 1: this all gets stymied by you can't figure out why, 138 00:08:30,440 --> 00:08:34,080 Speaker 1: it just lies sometimes out of nowhere. Yeah, we read 139 00:08:34,160 --> 00:08:37,080 Speaker 1: to you that list of instructions one of our beloved 140 00:08:37,120 --> 00:08:41,440 Speaker 1: listeners gave to whatever AI system he was using, and 141 00:08:41,520 --> 00:08:45,440 Speaker 1: it was it was damn near a dozen different instructions 142 00:08:45,840 --> 00:08:48,800 Speaker 1: about if you do not know, say so, do not 143 00:08:49,000 --> 00:08:51,760 Speaker 1: create anything, do not make anything up, if you are 144 00:08:51,800 --> 00:08:56,120 Speaker 1: speculating or based on insufficient information, tell me that you 145 00:08:56,160 --> 00:08:59,280 Speaker 1: are speculating. It was again, it was at least half 146 00:08:59,280 --> 00:09:01,760 Speaker 1: a dozen, and I think closer to a dozen different 147 00:09:01,960 --> 00:09:08,079 Speaker 1: very specific instructions on that level. It's weird that that's necessary. 148 00:09:09,120 --> 00:09:12,520 Speaker 1: But I wonder whether that sort of thing can be 149 00:09:12,559 --> 00:09:16,319 Speaker 1: introduced into systems and they can, you know, rectify this 150 00:09:16,360 --> 00:09:22,280 Speaker 1: pretty quickly. I would guess they can. 151 00:09:22,360 --> 00:09:23,559 Speaker 2: I don't know that. 152 00:09:23,880 --> 00:09:26,560 Speaker 1: It's certainly one of those you remember that robot whirling 153 00:09:26,600 --> 00:09:28,240 Speaker 1: out of control and it would have taken off somebody's 154 00:09:28,280 --> 00:09:31,400 Speaker 1: head if they got within range, right, I think AI 155 00:09:31,559 --> 00:09:34,680 Speaker 1: may be at that stage at this point. It's good 156 00:09:34,720 --> 00:09:37,960 Speaker 1: at putting the rivet there in a bumper, but stay out, arranged, Jim. 157 00:09:38,160 --> 00:09:40,680 Speaker 1: You hear if you hear the thing, if you see 158 00:09:40,679 --> 00:09:44,640 Speaker 1: the overheating light, come on, step back. It's just not 159 00:09:44,880 --> 00:09:48,840 Speaker 1: quite ready for prime time. As they say, what prices 160 00:09:48,880 --> 00:09:52,600 Speaker 1: are going up already or about to go up because 161 00:09:52,679 --> 00:09:55,920 Speaker 1: of combination of things changing in the world, including tariffs. 162 00:09:55,960 --> 00:09:59,880 Speaker 1: We can get to that, and I want to get 163 00:10:00,200 --> 00:10:02,000 Speaker 1: some of the best writing I've ever come across on 164 00:10:02,040 --> 00:10:07,840 Speaker 1: the topic of when tolerance is taken too far, societies 165 00:10:08,000 --> 00:10:12,360 Speaker 1: become totalitarian and utterly intolerant. Wow, you've got to have 166 00:10:12,400 --> 00:10:14,719 Speaker 1: a limit on tolerance. I definitely want to get to that. 167 00:10:16,200 --> 00:10:20,559 Speaker 1: Brett Stevens, New York Times, Israel is not committing a genocide. 168 00:10:20,600 --> 00:10:22,400 Speaker 1: I want to read a little from that, just so 169 00:10:22,520 --> 00:10:25,960 Speaker 1: you have some ammunition in case you run into some 170 00:10:26,080 --> 00:10:29,200 Speaker 1: of these people that are pushing that narrative hard and 171 00:10:29,280 --> 00:10:32,200 Speaker 1: a lot of people are, including the soon to be 172 00:10:32,240 --> 00:10:35,080 Speaker 1: mayor of New York. Any who stay here lots on 173 00:10:35,120 --> 00:10:43,480 Speaker 1: the way. 174 00:10:43,760 --> 00:10:46,520 Speaker 3: The new study finds the pandemic may have aged our 175 00:10:46,600 --> 00:10:49,360 Speaker 3: brains whether you had COVID or not, they say. Researchers 176 00:10:49,360 --> 00:10:52,839 Speaker 3: say brain scans actually show COVID the stress involved may 177 00:10:52,840 --> 00:10:55,080 Speaker 3: have sped up brain aging by more than five months 178 00:10:55,120 --> 00:10:58,440 Speaker 3: during that period. They believe it's reversible with exercise, diet 179 00:10:58,480 --> 00:10:59,960 Speaker 3: and of course staying engaged. 180 00:11:00,360 --> 00:11:03,960 Speaker 1: It aged my brain how much five months? But whether 181 00:11:04,040 --> 00:11:08,360 Speaker 1: you had COVID or not, Yeah, yeah, just the boredom 182 00:11:08,400 --> 00:11:11,559 Speaker 1: and stress and whatever. You got to test Blue states 183 00:11:11,840 --> 00:11:15,720 Speaker 1: and red states. Yeah, I don't know. I doubt it aged. 184 00:11:15,760 --> 00:11:18,160 Speaker 1: If it's because of stress and boredom, I don't think 185 00:11:18,200 --> 00:11:21,959 Speaker 1: mine aged, then I well know. But we didn't curl 186 00:11:22,080 --> 00:11:24,959 Speaker 1: up into the fetal position. In my life pretty much 187 00:11:25,000 --> 00:11:28,160 Speaker 1: exactly the same. So yeah, yeah, I mean I did 188 00:11:28,520 --> 00:11:31,840 Speaker 1: almost precisely exactly the same to whatever extent I could. 189 00:11:32,679 --> 00:11:35,880 Speaker 1: Being reasonably young and reasonably healthy, I could read the 190 00:11:35,920 --> 00:11:38,600 Speaker 1: statistics and knew that it would probably not hurt me 191 00:11:38,760 --> 00:11:41,160 Speaker 1: very much. Made me feel miserable. But anyway, enough on that. 192 00:11:42,040 --> 00:11:47,600 Speaker 1: So you may remember during Kamala Harris's brilliant campaign for 193 00:11:47,640 --> 00:11:54,080 Speaker 1: the presidency, they leaned heavily on how regular person she 194 00:11:54,400 --> 00:11:57,840 Speaker 1: was that she worked at McDonald's when she was going 195 00:11:57,880 --> 00:12:01,440 Speaker 1: to a historically black college. By the way, I grew 196 00:12:01,480 --> 00:12:04,320 Speaker 1: up in a neighborhood where people cared about their yards. 197 00:12:05,000 --> 00:12:08,200 Speaker 1: That's right. In fact, we have a lovingly prepared montage 198 00:12:08,240 --> 00:12:13,760 Speaker 1: Clickonine Michael of various politicians and newspeople talking about how 199 00:12:13,800 --> 00:12:16,840 Speaker 1: incredible and wonderful and endearing it was that she worked 200 00:12:16,880 --> 00:12:21,440 Speaker 1: at mcdee's. Have you served to all beef patties, special sauce, 201 00:12:21,559 --> 00:12:23,240 Speaker 1: let us cheese take those onions. 202 00:12:23,240 --> 00:12:26,760 Speaker 3: One working at a McDonald's, yes or no, that's it 203 00:12:26,840 --> 00:12:27,080 Speaker 3: I have. 204 00:12:27,480 --> 00:12:31,720 Speaker 2: Isn't it amazing that our presidential nominee can tell those 205 00:12:32,000 --> 00:12:36,160 Speaker 2: real stories of working at McDonald's When she was young, 206 00:12:37,080 --> 00:12:38,199 Speaker 2: she worked at McDonald's. 207 00:12:38,200 --> 00:12:40,720 Speaker 1: Now she worked at McDonald's. But I worked at Wendy's. 208 00:12:40,920 --> 00:12:45,120 Speaker 1: One candidate worked at McDonald's at a summer job at McDonald's. 209 00:12:45,240 --> 00:12:46,520 Speaker 1: I never knew you worked a McDonald's. 210 00:12:46,520 --> 00:12:48,480 Speaker 4: If you worked at a McDonald's, you can see yourself 211 00:12:48,679 --> 00:12:49,600 Speaker 4: in Kamala Harrison. 212 00:12:49,600 --> 00:12:53,040 Speaker 2: You greeted every person without a thousand watt smile and said, 213 00:12:53,640 --> 00:12:54,439 Speaker 2: how can I help you? 214 00:12:54,720 --> 00:12:58,439 Speaker 1: Ch up in very middle class circumstances. Worked at McDonald's, 215 00:12:58,480 --> 00:13:01,360 Speaker 1: working at McDonald's, who worked at mcd worked at McDonald 216 00:13:01,520 --> 00:13:03,880 Speaker 1: so god said. She wrote to McDonald's. 217 00:13:03,320 --> 00:13:05,839 Speaker 5: Share share this, and then a pro Trump website sorry 218 00:13:05,840 --> 00:13:07,679 Speaker 5: to talk about. Well, hey, is there evidence? Is there 219 00:13:07,800 --> 00:13:10,400 Speaker 5: proof that she worked at McDonald's. There's no records, there's 220 00:13:10,400 --> 00:13:12,840 Speaker 5: no receipts. But this has been seized upon by Trump 221 00:13:12,920 --> 00:13:15,680 Speaker 5: allies to say, maybe she's making it up. And I 222 00:13:15,720 --> 00:13:20,080 Speaker 5: find that bewildering which inappropriate when somebody puts down all 223 00:13:20,080 --> 00:13:21,960 Speaker 5: over the place that she worked at McDonald It was 224 00:13:21,960 --> 00:13:24,439 Speaker 5: a big part of her resume that she worked at McDonald's. 225 00:13:24,480 --> 00:13:28,280 Speaker 1: How tough a job it was, I decries, Yeah, And 226 00:13:28,320 --> 00:13:30,440 Speaker 1: I do remember saying at the time, I doubt I 227 00:13:30,440 --> 00:13:32,280 Speaker 1: could come up with any records of a lot of 228 00:13:32,320 --> 00:13:34,920 Speaker 1: my early jobs, right, I mean, and I'm the same 229 00:13:34,920 --> 00:13:36,959 Speaker 1: age as Kamala. I don't think I could prove any 230 00:13:36,960 --> 00:13:40,040 Speaker 1: of the early jobs I had. Well. A new biography 231 00:13:40,160 --> 00:13:42,280 Speaker 1: is out twenty twenty four, How Trump re took the 232 00:13:42,280 --> 00:13:45,280 Speaker 1: White House and the Democrats lost America by a handful 233 00:13:45,320 --> 00:13:48,240 Speaker 1: of journalists, a couple of whom you've probably heard of 234 00:13:48,240 --> 00:13:52,840 Speaker 1: if you're news junkie. But it includes the fact it 235 00:13:52,920 --> 00:13:56,360 Speaker 1: has been ascertained now. She worked at McDonald's in the 236 00:13:56,400 --> 00:14:01,920 Speaker 1: summer of nineteen eighty three for two weeks, worked a 237 00:14:01,920 --> 00:14:04,360 Speaker 1: couple of shifts. Apparently didn't like it. They didn't like her, 238 00:14:04,440 --> 00:14:09,720 Speaker 1: and she she quit. She hardly hardly wrinkled her paper hat. 239 00:14:10,080 --> 00:14:12,280 Speaker 1: She tried to grab the friar with both hands and 240 00:14:12,800 --> 00:14:16,120 Speaker 1: burned herself. That would actually kind of explain why they 241 00:14:16,280 --> 00:14:20,960 Speaker 1: never came forward, like with any data, I mean, if 242 00:14:20,960 --> 00:14:22,720 Speaker 1: they could have dug it up themselves, because they didn't 243 00:14:22,720 --> 00:14:25,240 Speaker 1: want that stat to be out that she worked there 244 00:14:25,240 --> 00:14:28,040 Speaker 1: for two weeks. Well, here's the part that amused me 245 00:14:28,160 --> 00:14:32,560 Speaker 1: the most. Her very short stint on the job meant 246 00:14:32,600 --> 00:14:35,480 Speaker 1: most of her advisors did not want to lean into that. 247 00:14:36,000 --> 00:14:38,080 Speaker 1: They thought, no, no, no, no, let's not draw attention to it. 248 00:14:38,080 --> 00:14:39,680 Speaker 1: And then, of course, Trump, brilliantly, in one of the 249 00:14:39,680 --> 00:14:42,520 Speaker 1: great political stunts I've ever seen, actually worked you know, 250 00:14:43,000 --> 00:14:46,120 Speaker 1: a little time at McDonald's, handing foods through the drives 251 00:14:46,120 --> 00:14:48,200 Speaker 1: through window and were in the hat. I'm chuckling as 252 00:14:48,240 --> 00:14:49,880 Speaker 1: I think about it. Yeah, we're in the hat and 253 00:14:50,720 --> 00:14:54,360 Speaker 1: blue suit and his red tie. But anyway, her her 254 00:14:54,840 --> 00:14:58,120 Speaker 1: aides were saying, you know, this is probably not a 255 00:14:58,120 --> 00:15:01,960 Speaker 1: good thing to lean into, but Harrison insisted on it. 256 00:15:02,000 --> 00:15:06,360 Speaker 1: Harris's aids debated for weeks after that whether they should 257 00:15:06,360 --> 00:15:10,280 Speaker 1: respond to Trump's attacks about McDonald's, spent weeks agonizing about decision, 258 00:15:10,280 --> 00:15:14,440 Speaker 1: according to the book, which asserts, without it blah blah blah. 259 00:15:14,600 --> 00:15:18,640 Speaker 1: At one point the campaign, Oh so, the advisor said, now, 260 00:15:18,680 --> 00:15:20,480 Speaker 1: let's not lean into this. I mean, you barely worked 261 00:15:20,480 --> 00:15:22,360 Speaker 1: there at all. I mean, in fact, the story is 262 00:15:22,440 --> 00:15:25,720 Speaker 1: you started working there and you quit quickly because you're 263 00:15:26,040 --> 00:15:28,280 Speaker 1: you thought who knows it was beneath you or you 264 00:15:28,320 --> 00:15:30,840 Speaker 1: hated it or whatever. It's really the story is anti 265 00:15:31,000 --> 00:15:33,840 Speaker 1: the way it was portrayed, but Harris insisted on doing it. 266 00:15:34,000 --> 00:15:36,480 Speaker 1: At one point the campaign caught wind that quote. At 267 00:15:36,560 --> 00:15:41,400 Speaker 1: least one major mainstream news outlet was investigating the McDonald's 268 00:15:41,400 --> 00:15:46,320 Speaker 1: employment claim, which caused alarm inside the campaign. Well, there 269 00:15:46,320 --> 00:15:48,600 Speaker 1: could be lots of reasons. My brother worked for a 270 00:15:48,720 --> 00:15:52,360 Speaker 1: very famous national burger chain for a very short period 271 00:15:52,360 --> 00:15:56,160 Speaker 1: of time because he dropped one of the patties on 272 00:15:56,200 --> 00:15:57,920 Speaker 1: the floor and was going to throw it away and 273 00:15:57,960 --> 00:16:00,760 Speaker 1: the manager said, hey, hey, don't throw that away, and 274 00:16:00,920 --> 00:16:04,600 Speaker 1: they put it on the bun. Oh boy, And he 275 00:16:04,680 --> 00:16:09,880 Speaker 1: quit because he couldn't be party to that. But once again, 276 00:16:09,920 --> 00:16:12,520 Speaker 1: I quote Bill Clinton. When she was young, she worked 277 00:16:12,520 --> 00:16:18,080 Speaker 1: at McDonald's and greeted every person with that thousand WATTSWI, 278 00:16:18,200 --> 00:16:22,520 Speaker 1: how can I help you? And Bill, being the master politician, 279 00:16:22,520 --> 00:16:25,320 Speaker 1: he is, how can I help you? And he looks 280 00:16:25,360 --> 00:16:30,040 Speaker 1: at the audience, Oh, oh, she's still helping people. I 281 00:16:30,280 --> 00:16:33,480 Speaker 1: get it, Bill get it. I was in the room 282 00:16:33,520 --> 00:16:38,040 Speaker 1: when he said that, and I almost vomited. Wow. Probably 283 00:16:38,120 --> 00:16:41,880 Speaker 1: McDonald's because you're a big fan. I am. Yeah. So 284 00:16:42,120 --> 00:16:47,040 Speaker 1: coming up, if you want a tolerance society where you 285 00:16:47,080 --> 00:16:51,200 Speaker 1: can express yourself, have I don't know, free speech, you've 286 00:16:51,240 --> 00:16:55,760 Speaker 1: got to have a certain level of intolerance. An explanation, 287 00:16:56,280 --> 00:17:00,600 Speaker 1: an eloquent one. Coming up next segment to some of 288 00:17:00,640 --> 00:17:02,760 Speaker 1: the things. The prices that are going up on because 289 00:17:02,800 --> 00:17:05,760 Speaker 1: of tariffs are inflation or whatever's causing what but a 290 00:17:05,840 --> 00:17:09,280 Speaker 1: number of things are going to get more expensive tarifflation. 291 00:17:09,520 --> 00:17:11,879 Speaker 1: Let us be the first to coin that term. What 292 00:17:12,080 --> 00:17:16,240 Speaker 1: economists are calling teriflation? Are they? Are they calling it that? Okay, 293 00:17:16,280 --> 00:17:21,320 Speaker 1: all that's on the way, stay here, Armstrong and Getty. 294 00:17:23,640 --> 00:17:25,320 Speaker 3: Should I we have breaking news as we come on 295 00:17:25,400 --> 00:17:27,320 Speaker 3: the air? Ozzy Osbourne has died. 296 00:17:28,240 --> 00:17:30,240 Speaker 1: There you go. That was the lead. That's how ABC 297 00:17:30,359 --> 00:17:31,239 Speaker 1: News started last night. 298 00:17:31,280 --> 00:17:34,320 Speaker 3: Played again, Michael, should I we have breaking news as 299 00:17:34,320 --> 00:17:36,720 Speaker 3: we come on the air? Ozzy Osbourne has died? 300 00:17:36,880 --> 00:17:42,720 Speaker 1: How is that possibly? But the situation we're in that 301 00:17:42,880 --> 00:17:46,240 Speaker 1: is unintentionally hilarious. I know, I laughed out loud. I 302 00:17:46,240 --> 00:17:48,119 Speaker 1: almost spit out well, I think I was set in Cereal, 303 00:17:48,280 --> 00:17:49,760 Speaker 1: almost spit it out when I heard that. 304 00:17:49,920 --> 00:17:52,920 Speaker 3: What is should we have breaking news as we come 305 00:17:52,960 --> 00:17:55,000 Speaker 3: on the air? Ozzy Osbourne has died? 306 00:17:55,119 --> 00:17:59,320 Speaker 1: Good lord, what is the evening news anymore? I don't know. 307 00:17:59,520 --> 00:18:03,760 Speaker 1: So on a completely different topic, if we did an 308 00:18:04,119 --> 00:18:09,560 Speaker 1: hours long Roganesque podcast, I would flesh out each of 309 00:18:09,600 --> 00:18:12,639 Speaker 1: these headlines at a fair length and then get to 310 00:18:12,680 --> 00:18:15,880 Speaker 1: the ultimate point somewhere around the dawn of our three. 311 00:18:16,680 --> 00:18:18,439 Speaker 1: And that's not the way we operate. So I'm going 312 00:18:18,520 --> 00:18:20,679 Speaker 1: to move a little more quickly. But I have a 313 00:18:20,680 --> 00:18:22,920 Speaker 1: handful of stories that are centered around the same theme, 314 00:18:22,960 --> 00:18:24,400 Speaker 1: all of which have come out just in the last 315 00:18:24,440 --> 00:18:26,760 Speaker 1: day or two, all of which are being covered in 316 00:18:26,800 --> 00:18:30,800 Speaker 1: major publications, and quite responsibly. Number one India's I'm Sorry 317 00:18:30,840 --> 00:18:37,440 Speaker 1: Inside Syria's sectarian cauldron, kidnapping, Trigger's cascade of violence, blood 318 00:18:37,720 --> 00:18:44,920 Speaker 1: soaked weak between Sunni Bedouins, Sunni Muslims, and the Druze 319 00:18:45,000 --> 00:18:48,920 Speaker 1: minority in southern Syria, slaughtering the hell out of the 320 00:18:49,000 --> 00:18:51,480 Speaker 1: Drews because of their religion and their tribe, et cetera. 321 00:18:51,640 --> 00:18:55,520 Speaker 1: Isn't sectarian politics, Grant and the Drews are? Are they 322 00:18:55,640 --> 00:18:59,280 Speaker 1: Christian adjacent? I forget I read this one. They're like 323 00:18:59,320 --> 00:19:03,200 Speaker 1: an abraham religion or beliefs. All of the prophets are cool, 324 00:19:03,280 --> 00:19:05,880 Speaker 1: and trust me, I'm not a Druiz theologian, but it's 325 00:19:05,960 --> 00:19:12,280 Speaker 1: kind of a universal Abrahamis religion anyway, and it's absolutely horrifying. 326 00:19:12,400 --> 00:19:15,600 Speaker 1: These are not that it matters, but you look at 327 00:19:15,640 --> 00:19:19,480 Speaker 1: these people. They are thoroughly modern, normal people living their lives, 328 00:19:19,520 --> 00:19:21,720 Speaker 1: hoping to get a career, going raise their children, blah 329 00:19:21,720 --> 00:19:25,720 Speaker 1: blah blah. And they have armed gunmen storming their houses 330 00:19:25,760 --> 00:19:28,439 Speaker 1: and shooting them all dead in the streets because of 331 00:19:28,480 --> 00:19:33,840 Speaker 1: their religion. Moving along, this is an interesting story from Texas, 332 00:19:33,840 --> 00:19:37,879 Speaker 1: of all places, Epic City replacing Old Glory with the 333 00:19:37,960 --> 00:19:42,360 Speaker 1: Crescent Moon. Picture this a Muslim only city governed by 334 00:19:42,400 --> 00:19:46,920 Speaker 1: Sharia law, beyond the reach of democratically elected officials. Officials. 335 00:19:47,880 --> 00:19:50,560 Speaker 1: Something like that is happening in Texas, and its founders 336 00:19:50,600 --> 00:19:54,760 Speaker 1: call it Epic City. The East Plano Islamic Center EPIC 337 00:19:54,920 --> 00:19:56,680 Speaker 1: is the largest mosque in Texas and one of the 338 00:19:56,760 --> 00:19:58,879 Speaker 1: largest in the US. Last year, several members of the 339 00:19:58,880 --> 00:20:03,600 Speaker 1: mosque formed Community Capital Partners LLC or CCP and announced 340 00:20:03,640 --> 00:20:06,640 Speaker 1: the formation of Epic City, a master planned Islamic development 341 00:20:06,640 --> 00:20:09,719 Speaker 1: project that caters to the evolving needs of families in 342 00:20:09,720 --> 00:20:14,320 Speaker 1: the Muslim communities. And again, we could get into this 343 00:20:14,440 --> 00:20:17,119 Speaker 1: idea in depth in what is wrong with it, but 344 00:20:17,400 --> 00:20:22,680 Speaker 1: I don't really have time. Josh Hawley's called for US, 345 00:20:22,840 --> 00:20:27,320 Speaker 1: the US to condemn the persecution of Christians in Muslim 346 00:20:27,359 --> 00:20:31,879 Speaker 1: majority nations, including several that were kind of friendly with 347 00:20:32,040 --> 00:20:36,280 Speaker 1: these days. But whether it's Africa or the Middle East, Yeah, 348 00:20:36,320 --> 00:20:40,920 Speaker 1: there's wholesale persecution of Christians going on, frequently slaughtering them 349 00:20:40,920 --> 00:20:44,680 Speaker 1: by machine gun fire or machete And Hawley is he 350 00:20:44,760 --> 00:20:48,960 Speaker 1: grand standing? He often is? Or is he sincere about this? 351 00:20:49,640 --> 00:20:53,399 Speaker 1: I don't know how weird is it that the US 352 00:20:53,520 --> 00:20:58,359 Speaker 1: doesn't condemn that? Oh right, If my main thing politically 353 00:20:58,400 --> 00:21:00,720 Speaker 1: is standing up for Christianity around the world, I think 354 00:21:00,760 --> 00:21:05,080 Speaker 1: those are better stories to latch onto than putin trying 355 00:21:05,200 --> 00:21:08,800 Speaker 1: to help Christianity out by taking over Ukraine or something 356 00:21:09,760 --> 00:21:13,560 Speaker 1: or something. Yeah. The resolutions that are co sponsored with 357 00:21:13,600 --> 00:21:17,639 Speaker 1: several other Republicans urged the President to prioritize the defense 358 00:21:17,680 --> 00:21:21,719 Speaker 1: of persecuted Christians in America's foreign policy, including via diplomatic 359 00:21:21,760 --> 00:21:25,080 Speaker 1: engagement with Muslim majority countries, as well as efforts to 360 00:21:25,119 --> 00:21:29,480 Speaker 1: stabilize the Middle East. Urges the President to leverage the 361 00:21:29,520 --> 00:21:33,440 Speaker 1: diplomatic tool kit to advance the protection of persecuted Christians 362 00:21:33,480 --> 00:21:39,320 Speaker 1: worldwide and within Muslim majority countries. So I certainly applaud 363 00:21:39,359 --> 00:21:43,360 Speaker 1: that effort, and all of those headlines bring us to this, 364 00:21:43,520 --> 00:21:45,920 Speaker 1: and it's a piece I came across by Paul Freesen. 365 00:21:46,640 --> 00:21:50,320 Speaker 1: Paul is with Cornell University. He is one of the 366 00:21:50,440 --> 00:21:53,160 Speaker 1: scholars with the let Me Get This Right the Center 367 00:21:53,200 --> 00:21:56,240 Speaker 1: for Global Democracy in the Brooks School of Public Policy 368 00:21:56,280 --> 00:21:59,240 Speaker 1: at Cornell. Didn't really know his work, but I found 369 00:21:59,240 --> 00:22:03,600 Speaker 1: this to be extremely persuasive. He talks. He starts this 370 00:22:04,359 --> 00:22:08,800 Speaker 1: article talking about the Maldives, which is a chain of 371 00:22:08,880 --> 00:22:12,359 Speaker 1: islands by not far from Africa. I think, I actually 372 00:22:12,400 --> 00:22:13,840 Speaker 1: I didn't even look it up on a map. But 373 00:22:14,280 --> 00:22:20,879 Speaker 1: they're idyllic beautiful. It's infinity pools, bioluminescent beaches, you got 374 00:22:20,960 --> 00:22:24,520 Speaker 1: your bungalows over the water. It's the stuff straight out 375 00:22:24,560 --> 00:22:28,400 Speaker 1: of a sandals ad or you know, like Fiji has 376 00:22:28,640 --> 00:22:31,920 Speaker 1: resorts that are just like this, And he writes, few 377 00:22:32,000 --> 00:22:36,040 Speaker 1: imagine that this archipelago of honeymoon bruchers and influencer backdrops 378 00:22:36,320 --> 00:22:42,000 Speaker 1: is governed by a constitutionally mandated Sunni monoculture where apostasy, 379 00:22:42,240 --> 00:22:46,000 Speaker 1: that is, rejecting Islam is punishable by death. Wow, and 380 00:22:46,080 --> 00:22:48,680 Speaker 1: children are catechised not in the arts of critical thought, 381 00:22:48,680 --> 00:22:53,520 Speaker 1: but in the compulsory admiration of Shariah. And all non 382 00:22:53,800 --> 00:22:57,119 Speaker 1: Muslim religious practice, no matter how discreet or devotional, is 383 00:22:57,160 --> 00:23:01,399 Speaker 1: prohibited by law. You cannot silently pray to Jesus Christ 384 00:23:01,520 --> 00:23:04,560 Speaker 1: in your living room alone in the Maldives, or it 385 00:23:04,640 --> 00:23:08,480 Speaker 1: is punishable. There are no churches, no synagogues, no temples, 386 00:23:08,520 --> 00:23:12,320 Speaker 1: no tolerance. This is a theocracy with a customer service department. 387 00:23:13,200 --> 00:23:15,359 Speaker 1: And he says here the word Islamic republic does not 388 00:23:15,440 --> 00:23:18,480 Speaker 1: mean Muslim majority democracy means what it says on the label. 389 00:23:18,680 --> 00:23:21,960 Speaker 1: A legal architecture erected not to protect freedoms, but to 390 00:23:22,000 --> 00:23:26,240 Speaker 1: restrict them. Islamic education is mandated in every grade, every year, 391 00:23:27,359 --> 00:23:29,840 Speaker 1: et cetera, et cetera. Oh, any descent, whether whispered by 392 00:23:29,840 --> 00:23:32,560 Speaker 1: a secular blogger or typed by an ex Muslim on Twitter, 393 00:23:32,760 --> 00:23:35,240 Speaker 1: can earn you one hundred lashes twenty years or a 394 00:23:35,240 --> 00:23:40,280 Speaker 1: cemetery plot. Welcome to Paradise. And then he says this 395 00:23:40,320 --> 00:23:44,199 Speaker 1: is not uniquely Maldivian, or even uniquely Islamic. What's on 396 00:23:44,240 --> 00:23:47,800 Speaker 1: display here is the metastasis of a broader pathology, the 397 00:23:47,840 --> 00:23:53,400 Speaker 1: suicide of liberalism through the intravenous drip of unchecked pluralism. Right. 398 00:23:53,400 --> 00:23:55,440 Speaker 1: There are a lotisms there, I'll explain, but this is 399 00:23:55,480 --> 00:23:58,560 Speaker 1: the point of what he's writing. The Maldives is not 400 00:23:58,600 --> 00:24:00,959 Speaker 1: just an outlier. It is a bell weather, a warning 401 00:24:00,960 --> 00:24:04,320 Speaker 1: of what happens when civilizations that once separated church from 402 00:24:04,320 --> 00:24:09,000 Speaker 1: state begin importing ideologies that merge the two, like Siamese 403 00:24:09,040 --> 00:24:12,040 Speaker 1: twins sharing a judicial spine. This is not a clash 404 00:24:12,040 --> 00:24:14,960 Speaker 1: of cultures. It is a conquest by bureaucracy, and we 405 00:24:15,040 --> 00:24:20,840 Speaker 1: are funding it for the umpteenth time. Read Michael Hallibeck's submission. 406 00:24:22,400 --> 00:24:24,720 Speaker 1: Novel came out a few years ago about how it's 407 00:24:24,760 --> 00:24:28,639 Speaker 1: an imagination of how Trump Trump I'm reading while I'm talking, 408 00:24:28,760 --> 00:24:32,119 Speaker 1: how France becomes an entirely Muslim country and freedom of 409 00:24:32,440 --> 00:24:35,200 Speaker 1: speech and religion are stamped out and pretty plausible when 410 00:24:35,200 --> 00:24:38,040 Speaker 1: you read it. Oh that's the thing. Would you how 411 00:24:38,040 --> 00:24:41,080 Speaker 1: would you describe how the takeover goes? How it works 412 00:24:41,160 --> 00:24:45,199 Speaker 1: in that novel? Uh, little by little with a lot 413 00:24:45,320 --> 00:24:49,680 Speaker 1: of decent people not wanting to come off as racist, 414 00:24:49,800 --> 00:24:55,480 Speaker 1: or islamophobic, and then just over time losing and as 415 00:24:56,160 --> 00:25:01,720 Speaker 1: mister Friesan points out, like through bureaucracy, bit by bit, 416 00:25:01,840 --> 00:25:05,560 Speaker 1: through the tentacles of government. Anyway, here's his main point, 417 00:25:05,560 --> 00:25:07,800 Speaker 1: and this is the part that I said, I found 418 00:25:07,880 --> 00:25:11,359 Speaker 1: so eloquent, and I wish we had time to just 419 00:25:11,400 --> 00:25:14,120 Speaker 1: do the whole thing. But maybe we'll talk to him someday. 420 00:25:14,800 --> 00:25:16,960 Speaker 1: It was Carl Popper, he writes, who warned that a 421 00:25:17,000 --> 00:25:21,680 Speaker 1: tolerant society must be intolerant of intolerance, or it would 422 00:25:21,720 --> 00:25:27,160 Speaker 1: cease to be tolerant at all. Obviously, that's where it's 423 00:25:27,320 --> 00:25:31,440 Speaker 1: the way we're always mocking the coexist bumper sticker, coexist, coexist. 424 00:25:31,760 --> 00:25:35,000 Speaker 1: A couple of those symbols on there want to dominate 425 00:25:35,400 --> 00:25:39,360 Speaker 1: the other symbols, so you can't coexist with somebody who 426 00:25:39,359 --> 00:25:45,280 Speaker 1: wants to take over. A tolerant society must be intolerant 427 00:25:45,359 --> 00:25:48,120 Speaker 1: of intolerance or it would cease to be tolerant at all. 428 00:25:48,480 --> 00:25:51,960 Speaker 1: Can you think of any other modern movements that punished 429 00:25:52,000 --> 00:25:55,680 Speaker 1: you even disagreeing with them, or even asking them hard 430 00:25:55,760 --> 00:25:59,000 Speaker 1: questions at a training session, for instance, that they made 431 00:25:59,040 --> 00:26:03,040 Speaker 1: you go to at work at your university's orientation, you 432 00:26:03,160 --> 00:26:06,960 Speaker 1: weren't even allowed to question it anyway. He goes on, 433 00:26:07,720 --> 00:26:11,720 Speaker 1: It's a delicious paradox, too often quoted and too rarely heated. 434 00:26:12,040 --> 00:26:14,160 Speaker 1: For we have taken the first half of the dictum, 435 00:26:14,359 --> 00:26:18,280 Speaker 1: the imperative to tolerate, and chiseled it into law, into policy, 436 00:26:18,440 --> 00:26:22,840 Speaker 1: into university mission statements and NGEO pamphlets. But the second half, 437 00:26:23,080 --> 00:26:26,199 Speaker 1: the requirement to draw a line to say no further, 438 00:26:26,840 --> 00:26:29,040 Speaker 1: has been treated like garlic in a vampire movie, and 439 00:26:29,920 --> 00:26:35,000 Speaker 1: teque and anathema unfashionable. The paradox has become pathology. Here's 440 00:26:35,000 --> 00:26:39,119 Speaker 1: what he means. Our courts allow Sharia arbitration councils to 441 00:26:39,200 --> 00:26:43,159 Speaker 1: function in British cities. He's a brit obviously, adjudicating matters 442 00:26:43,160 --> 00:26:45,480 Speaker 1: of family and inheritance with standards that would make a 443 00:26:45,480 --> 00:26:49,440 Speaker 1: twelfth century canon lawyer flinch. Our schools include faith based 444 00:26:49,520 --> 00:26:52,640 Speaker 1: curricula that require jobs for seven year olds and teach 445 00:26:52,680 --> 00:26:56,880 Speaker 1: that homosexuality is satanic filth. Our public broadcasters will era 446 00:26:57,000 --> 00:27:00,399 Speaker 1: documentary about the importance of free speech, followed immediately by 447 00:27:00,440 --> 00:27:05,720 Speaker 1: a segment about why cartoons of Muhammad are unhelpful. This 448 00:27:05,880 --> 00:27:09,720 Speaker 1: is not multiculturalism, it is masochism. It is the belief 449 00:27:09,760 --> 00:27:12,560 Speaker 1: that liberalism must be so open minded that its own 450 00:27:12,680 --> 00:27:15,320 Speaker 1: brains are spilled out to the prayer mad. It is 451 00:27:15,359 --> 00:27:18,960 Speaker 1: the fetishization of identity at the expense of liberty. It 452 00:27:19,040 --> 00:27:23,240 Speaker 1: is the ideological pacifism of a society too terrified to 453 00:27:23,280 --> 00:27:27,200 Speaker 1: assert its own values lest it be accused of racism 454 00:27:27,440 --> 00:27:31,639 Speaker 1: by those who mistake ideology for ethnicity. We have enshrined 455 00:27:31,680 --> 00:27:35,439 Speaker 1: the right of the theocrat while criminalizing the instincts of 456 00:27:35,480 --> 00:27:39,200 Speaker 1: the secularist. The result is not harmony, it is humiliation. 457 00:27:40,680 --> 00:27:43,760 Speaker 1: And then he goes into let's dispense with the ritual disclaimers. 458 00:27:43,760 --> 00:27:46,240 Speaker 1: Not all Muslims or Islamists, not all believers who wish 459 00:27:46,280 --> 00:27:49,280 Speaker 1: to impose There are believers who wish to impose their 460 00:27:49,359 --> 00:27:52,439 Speaker 1: theology on others, of course, but neither are all white 461 00:27:52,440 --> 00:27:57,040 Speaker 1: people racists. Yet no progressive chokes on the phrase white supremacy. 462 00:27:58,240 --> 00:28:00,720 Speaker 1: When was the last time you heard a progressive set Now, 463 00:28:00,800 --> 00:28:04,160 Speaker 1: of course, not all white people are racist. A lot 464 00:28:04,160 --> 00:28:07,679 Speaker 1: of white people are good, honest, decent, hard working people 465 00:28:07,960 --> 00:28:10,760 Speaker 1: who try to treat everybody well. Blah blah blah. But 466 00:28:10,880 --> 00:28:15,439 Speaker 1: still there is white supremacy. But anytime you talk about Islamism. 467 00:28:16,160 --> 00:28:19,200 Speaker 1: You have to throw in the long list of disclaimers, right. Well, 468 00:28:19,240 --> 00:28:23,680 Speaker 1: the first one, though, is not seen as true by 469 00:28:24,560 --> 00:28:28,080 Speaker 1: you know, your local school. Quite possibly spent a lot 470 00:28:28,119 --> 00:28:31,840 Speaker 1: of money getting Ibram X Kendy to come speak at 471 00:28:31,880 --> 00:28:34,560 Speaker 1: the school, or list bought all the books. And his 472 00:28:34,640 --> 00:28:37,840 Speaker 1: whole theme is you are automatically racist if you're white 473 00:28:37,960 --> 00:28:41,440 Speaker 1: by definition. Right, So that's one reason you wouldn't say that. 474 00:28:42,120 --> 00:28:45,840 Speaker 1: He goes on, why must we say religiously motivated extremism 475 00:28:45,920 --> 00:28:49,200 Speaker 1: instead of naming the doctrine that inspired the bomb? Why 476 00:28:49,200 --> 00:28:52,520 Speaker 1: do we hear of Asian grooming gangs instead of Pakistani 477 00:28:52,640 --> 00:28:55,680 Speaker 1: Muslim sex trafficking rings. Why do we refer to the 478 00:28:55,720 --> 00:28:59,640 Speaker 1: Maldives as a challenging democracy rather than a theocratic prison 479 00:28:59,680 --> 00:29:03,960 Speaker 1: with beaches? Because the liberal West, having abolished blasphemy laws, 480 00:29:04,000 --> 00:29:07,400 Speaker 1: is now enforcing them in reverse. The new heresy is 481 00:29:07,480 --> 00:29:10,720 Speaker 1: criticism of faith, at least of one faith. To mock 482 00:29:10,800 --> 00:29:14,520 Speaker 1: Christianity is edgy. To mock Islam is hate speech. To 483 00:29:14,640 --> 00:29:19,240 Speaker 1: question Jewish nationalism is a principled resistance. To question Islamist 484 00:29:19,400 --> 00:29:24,160 Speaker 1: imperialism is bigotry. This is not diversity, It is double think. 485 00:29:24,320 --> 00:29:26,640 Speaker 1: It is a sacred exception carved out in the name 486 00:29:26,680 --> 00:29:29,360 Speaker 1: of peace, which is to say, in the name of fear. 487 00:29:30,640 --> 00:29:32,280 Speaker 1: And then he goes on to make the point more 488 00:29:32,880 --> 00:29:35,600 Speaker 1: at greater length. Fear is the root of all of this. 489 00:29:36,040 --> 00:29:41,800 Speaker 1: And he's absolutely right, especially about Europe. Britain, France are 490 00:29:41,920 --> 00:29:48,040 Speaker 1: humiliating themselves and twisting themselves into bizarre quasi legal knots 491 00:29:48,360 --> 00:29:52,800 Speaker 1: to try not to anger the Muslim folks. And I'm 492 00:29:52,840 --> 00:29:55,240 Speaker 1: telling you to return to the main theme. If you 493 00:29:55,320 --> 00:30:01,200 Speaker 1: take away nothing from this, take this away tolerance. Society 494 00:30:01,320 --> 00:30:04,920 Speaker 1: must be intolerant of intolerance, or it would cease to 495 00:30:04,920 --> 00:30:07,960 Speaker 1: be intolerant, I'm sorry, or it would cease to be 496 00:30:08,040 --> 00:30:13,200 Speaker 1: tolerant at all. Yeah. Pretty obviously, but obviously not obvious 497 00:30:13,320 --> 00:30:17,000 Speaker 1: enough to keep it from happening the way it's happening. Yeah, 498 00:30:17,120 --> 00:30:20,360 Speaker 1: those of you who don't have the courage to say 499 00:30:20,360 --> 00:30:22,520 Speaker 1: this sort of thing, we suggest you try to find 500 00:30:22,520 --> 00:30:25,240 Speaker 1: it if you can. Those of you who do, we're 501 00:30:25,280 --> 00:30:28,640 Speaker 1: with you. Some really good news about journalism, and I 502 00:30:28,760 --> 00:30:32,680 Speaker 1: rarely say that. Some big changes coming to uber And 503 00:30:32,920 --> 00:30:35,760 Speaker 1: what was the other one? Oh man, good God. The 504 00:30:35,840 --> 00:30:39,040 Speaker 1: asking for you to tip whenever you get your card 505 00:30:39,080 --> 00:30:42,320 Speaker 1: to anything is so completely out of control. All of 506 00:30:42,360 --> 00:30:45,440 Speaker 1: that on the way. Stay here from. 507 00:30:50,240 --> 00:30:53,520 Speaker 4: Coca Cola made with American cane sugar instead of high 508 00:30:53,520 --> 00:30:55,320 Speaker 4: fructose corn syrup coming soon. 509 00:30:55,920 --> 00:30:57,360 Speaker 1: Coca Cola already. 510 00:30:57,080 --> 00:31:00,320 Speaker 4: Uses cane sugar in it's Mexican version, but hi, those 511 00:31:00,400 --> 00:31:03,000 Speaker 4: corn syrup and what you usually find here in the US. 512 00:31:03,400 --> 00:31:06,440 Speaker 4: This version isn't going anywhere. But the new product they're 513 00:31:06,440 --> 00:31:10,800 Speaker 4: adding will feature only American cane sugar, but ounce for ounce, 514 00:31:11,000 --> 00:31:13,960 Speaker 4: both versions are roughly the same number of calories and 515 00:31:14,040 --> 00:31:16,680 Speaker 4: the same amount of sugar in a standard bottle, about 516 00:31:16,680 --> 00:31:18,480 Speaker 4: as much as you'll find in two and a half 517 00:31:18,600 --> 00:31:20,280 Speaker 4: full sized chocolate bars. 518 00:31:20,600 --> 00:31:23,720 Speaker 1: Did you know that? Now? What was driving the Mexican 519 00:31:23,760 --> 00:31:26,480 Speaker 1: coke thing was taste more than health, but it got 520 00:31:26,480 --> 00:31:30,280 Speaker 1: turned into a health thing recently. The equivalent of two 521 00:31:30,360 --> 00:31:33,280 Speaker 1: plus candy bars when you drink a can of coke. 522 00:31:34,080 --> 00:31:38,640 Speaker 1: Think about that. Yeah, wow wow. By the way, she 523 00:31:38,720 --> 00:31:41,920 Speaker 1: was clearly an Upper Midwesterner. I had a flashback to 524 00:31:41,960 --> 00:31:46,000 Speaker 1: my childhood when she said syrup. I don't think I 525 00:31:46,040 --> 00:31:49,160 Speaker 1: ever heard anybody say syrup until I was close to 526 00:31:49,160 --> 00:31:53,120 Speaker 1: an adult. So we got a good text about host 527 00:31:53,200 --> 00:31:56,280 Speaker 1: nations and AI, particularly with this story about the FDA 528 00:31:56,480 --> 00:32:00,360 Speaker 1: is having troubles with AI. Just makes up studies about 529 00:32:00,440 --> 00:32:02,360 Speaker 1: various drugs and stuff like that, and somebody that's the 530 00:32:02,560 --> 00:32:05,240 Speaker 1: entire study. It makes it up to answer a question. 531 00:32:05,360 --> 00:32:07,840 Speaker 1: But somebody texted, maybe you know, because we were talking 532 00:32:07,840 --> 00:32:11,360 Speaker 1: about the language learning thing with AI the other day, 533 00:32:11,400 --> 00:32:14,880 Speaker 1: and will it overtake journalists if ninety five percent, if 534 00:32:14,960 --> 00:32:17,920 Speaker 1: ninety nine percent of journalists suck, And that's probably true, 535 00:32:18,400 --> 00:32:20,880 Speaker 1: and it takes in all that journalism, won't it suck? 536 00:32:21,520 --> 00:32:24,400 Speaker 1: So I was wondering that question. But if it takes 537 00:32:24,440 --> 00:32:27,959 Speaker 1: in all the studies that are done, many of them, 538 00:32:28,000 --> 00:32:33,080 Speaker 1: if not bogus or bogus adjacent, they're very preliminary, really 539 00:32:33,400 --> 00:32:38,040 Speaker 1: over stretching their results. It's just picked up on that 540 00:32:38,680 --> 00:32:42,800 Speaker 1: well in the soft sciences quote unquote especially they're a joke. 541 00:32:43,000 --> 00:32:47,360 Speaker 1: But even in medicine frequently you can't replicate results, right, 542 00:32:48,120 --> 00:32:50,920 Speaker 1: What an interesting point. So maybe it figured out nobody's 543 00:32:50,960 --> 00:32:53,239 Speaker 1: replicating these things in any studies. So yeah, I'll make 544 00:32:53,240 --> 00:32:57,880 Speaker 1: them up too, as if it's a thinking beast. Okay, 545 00:32:57,880 --> 00:33:02,000 Speaker 1: I'm so be fuddled by that different story. We've all 546 00:33:02,320 --> 00:33:09,920 Speaker 1: experienced the omnipresence, the ubiquitousness of tipping being foisted upon 547 00:33:09,960 --> 00:33:12,000 Speaker 1: you in the modern world. You pay for everything with 548 00:33:12,120 --> 00:33:15,360 Speaker 1: your card or I use my watch, and it gives 549 00:33:15,400 --> 00:33:17,360 Speaker 1: you the choice of do you want to tip fifteen percent, 550 00:33:17,400 --> 00:33:19,760 Speaker 1: eighteen percent, twenty two percent? What would you like to 551 00:33:19,760 --> 00:33:24,240 Speaker 1: tip for what? The convenience store person just rang up 552 00:33:24,280 --> 00:33:27,600 Speaker 1: my case of water? I mean, what I'm tipping for that? Now? 553 00:33:28,440 --> 00:33:32,640 Speaker 1: They used the favorite was I ordered something online and 554 00:33:32,760 --> 00:33:35,240 Speaker 1: paid for it online and they just had to hand 555 00:33:35,280 --> 00:33:39,040 Speaker 1: it to me. That's a new one. They had this 556 00:33:39,080 --> 00:33:41,760 Speaker 1: hotel website where you book your hotel and it's all automated. 557 00:33:41,760 --> 00:33:43,840 Speaker 1: It's all computer program and then it asks for a 558 00:33:43,880 --> 00:33:47,080 Speaker 1: tip at the end. I'm tipping a computer for doing 559 00:33:47,120 --> 00:33:50,160 Speaker 1: what the website is designed to do. I don't even 560 00:33:50,240 --> 00:33:52,680 Speaker 1: understand what's going on here. But the most interesting thing 561 00:33:52,720 --> 00:33:55,760 Speaker 1: I thought about found out about this is that tipping 562 00:33:55,960 --> 00:34:00,000 Speaker 1: is down at restaurants from around twenty percent on average 563 00:34:00,240 --> 00:34:03,280 Speaker 1: to down around depending on where you are, fifteen to 564 00:34:03,280 --> 00:34:06,280 Speaker 1: eighteen percent on average. And they think some of it 565 00:34:06,400 --> 00:34:10,400 Speaker 1: might be just psychologically. When they hand you, you know, 566 00:34:10,440 --> 00:34:12,319 Speaker 1: if you're at a super fancy restaurant, they do this, 567 00:34:12,440 --> 00:34:14,680 Speaker 1: but they don't do this but below that. Now they 568 00:34:14,719 --> 00:34:16,800 Speaker 1: just kind of They take your card, they stick it 569 00:34:16,840 --> 00:34:18,680 Speaker 1: to the thing, and they hand you the thing, right, 570 00:34:19,280 --> 00:34:24,480 Speaker 1: and you're supposed to think the little handheld or the machine. Yeah, 571 00:34:24,680 --> 00:34:27,279 Speaker 1: the little handle hand held happened, gadget. They hand it 572 00:34:27,320 --> 00:34:31,400 Speaker 1: to you and you press whatever. And this person writing 573 00:34:31,440 --> 00:34:33,360 Speaker 1: in the New York Post thinks there might be something 574 00:34:33,400 --> 00:34:36,960 Speaker 1: about them staring at you while you do it, and 575 00:34:37,000 --> 00:34:40,080 Speaker 1: the pressure of holding the piece of equipment as opposed 576 00:34:40,120 --> 00:34:43,640 Speaker 1: to when you're alone with the check. And I don't know, 577 00:34:43,920 --> 00:34:46,799 Speaker 1: it does have a different feel to it. See, I've 578 00:34:46,800 --> 00:34:49,000 Speaker 1: noticed the places I've gone that actually hand you the 579 00:34:49,000 --> 00:34:51,239 Speaker 1: little machine, and I like that because it eliminates a 580 00:34:51,280 --> 00:34:53,439 Speaker 1: step of a level. Yes, time fast. When I'm done eating, 581 00:34:53,480 --> 00:34:55,120 Speaker 1: I want to get up and go. It is kind 582 00:34:55,120 --> 00:34:59,400 Speaker 1: of weird that way. But I've noticed the server will 583 00:34:59,760 --> 00:35:03,160 Speaker 1: look gaze into the middle distance, right, so as not 584 00:35:03,400 --> 00:35:06,799 Speaker 1: to have that vibe going. Yeah. I don't know if 585 00:35:06,800 --> 00:35:09,440 Speaker 1: that's the reason tipping is down. The other theory is 586 00:35:09,480 --> 00:35:11,880 Speaker 1: it just I just think it's fatigue tipping fatigue tipping 587 00:35:11,880 --> 00:35:13,640 Speaker 1: fatigue is what they're calling you, and they're just being 588 00:35:13,680 --> 00:35:17,279 Speaker 1: asked to tip for freaking everything, well, right, exactly, So 589 00:35:17,320 --> 00:35:19,560 Speaker 1: the server at the restaurant instead of being well, of course, 590 00:35:19,640 --> 00:35:22,880 Speaker 1: they're expecting a tip. That's what happens here. It's oh great, 591 00:35:22,920 --> 00:35:25,319 Speaker 1: another person with their hand out right everywhere I go 592 00:35:25,440 --> 00:35:28,359 Speaker 1: all day long. So yeah, yeah, you poured a cup 593 00:35:28,400 --> 00:35:29,839 Speaker 1: of coffee and I'm supposed to give you a twenty 594 00:35:29,880 --> 00:35:32,759 Speaker 1: percent tip. That didn't used to be the case, but 595 00:35:32,840 --> 00:35:35,799 Speaker 1: it is now. Okay, Well, I'm sure this will shake 596 00:35:35,840 --> 00:35:37,040 Speaker 1: out over time. We got a lot more in the 597 00:35:37,080 --> 00:35:39,320 Speaker 1: way Armstrong and Getty