1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,800 --> 00:00:17,239 Speaker 1: and get and he Armstrong and Yetty. 4 00:00:23,440 --> 00:00:26,720 Speaker 2: The question is, is are APEX goals shaped by the 5 00:00:26,720 --> 00:00:28,520 Speaker 2: goals of the Israeli government to any extent? 6 00:00:29,000 --> 00:00:29,680 Speaker 1: Okay, it's a. 7 00:00:29,640 --> 00:00:32,640 Speaker 2: Really simple lobbying on behalf of It's a simple question, 8 00:00:32,840 --> 00:00:36,360 Speaker 2: that is ape Are APEX goals shaped by the goals 9 00:00:36,400 --> 00:00:37,479 Speaker 2: of the Israeli government? 10 00:00:37,600 --> 00:00:39,839 Speaker 1: And I'm just gonna ask you a question straightforwardly. And 11 00:00:39,840 --> 00:00:41,639 Speaker 1: if you say no, I think we both know that's 12 00:00:41,640 --> 00:00:44,040 Speaker 1: not true. Hey, are they shaped by is that? 13 00:00:44,080 --> 00:00:44,240 Speaker 3: It is? 14 00:00:44,360 --> 00:00:49,440 Speaker 2: Are they coordinating with the Israeli government? Are they talking? Directing? 15 00:00:49,479 --> 00:00:49,519 Speaker 3: That? 16 00:00:49,760 --> 00:00:52,159 Speaker 1: What you want to talk about? Farah? The law on 17 00:00:52,240 --> 00:00:55,000 Speaker 1: lobbying on behalf of someone? It is I hire you, 18 00:00:55,040 --> 00:00:57,520 Speaker 1: and you lobby on behalf of me? I direct you? 19 00:00:57,560 --> 00:00:59,920 Speaker 1: Does Israel direct APEC know they are not lobbying on 20 00:01:00,120 --> 00:01:02,960 Speaker 1: behalf of them? Do they care about them? Yes? 21 00:01:04,880 --> 00:01:08,760 Speaker 4: Tucker Carlson in one of his less unfair grillings of 22 00:01:08,760 --> 00:01:13,080 Speaker 4: Ted Cruz, there an interview we discussion we featured yesterday 23 00:01:13,120 --> 00:01:13,559 Speaker 4: on the show. 24 00:01:13,720 --> 00:01:16,640 Speaker 1: Yeah, we played a lot of it. Yeah. Interesting. 25 00:01:17,319 --> 00:01:19,480 Speaker 4: As much as we've admired Tucker through the years, he's 26 00:01:19,520 --> 00:01:23,920 Speaker 4: he's become a forceful advocate for something I'm sure exactly what. 27 00:01:24,160 --> 00:01:27,039 Speaker 4: He's one of the most unfair arguers in the history 28 00:01:27,040 --> 00:01:31,920 Speaker 4: of arguing. And Jack discussing that yesterday offered to argue 29 00:01:32,080 --> 00:01:34,920 Speaker 4: like Tucker Carlson and it was a tour to force 30 00:01:35,120 --> 00:01:42,320 Speaker 4: nineteen Michael. He senses when you are at all a 31 00:01:42,400 --> 00:01:45,800 Speaker 4: rhetorical threat to you, and that's when he employs his 32 00:01:46,200 --> 00:01:47,040 Speaker 4: various trickeries. 33 00:01:47,160 --> 00:01:51,120 Speaker 1: What do you mean by threat if you're just threatening me? 34 00:01:51,400 --> 00:01:53,480 Speaker 1: Is that what you're doing? No, No, is that what 35 00:01:53,480 --> 00:01:55,800 Speaker 1: you're doing? Threat? Well, you just said threat? Would you 36 00:01:55,840 --> 00:01:57,800 Speaker 1: like to rewind the tape? And by the way, why 37 00:01:57,840 --> 00:02:00,360 Speaker 1: are you being so defensive all of a sudden, gotten 38 00:02:00,400 --> 00:02:03,920 Speaker 1: very very defensive? And I just wonder it must I 39 00:02:04,000 --> 00:02:05,800 Speaker 1: must have hit a hot spot with you or something 40 00:02:05,800 --> 00:02:07,640 Speaker 1: to be so defensive and then to threaten me. 41 00:02:09,840 --> 00:02:12,240 Speaker 4: Jack arguing like Tucker Carlson. 42 00:02:12,720 --> 00:02:18,120 Speaker 1: Yeah, it's it's a Tangents are the key. You want 43 00:02:18,160 --> 00:02:21,720 Speaker 1: to drive someone crazy. You're trying to have a conversation 44 00:02:21,720 --> 00:02:25,760 Speaker 1: about a particular topic, and Tucker takes it off into 45 00:02:25,960 --> 00:02:29,840 Speaker 1: left field and he bates people into like defending something 46 00:02:29,880 --> 00:02:31,880 Speaker 1: that they weren't even wanting to talk about. 47 00:02:33,080 --> 00:02:37,720 Speaker 4: Important, Right, he bates them into defending his twisted version 48 00:02:37,720 --> 00:02:38,600 Speaker 4: of what they're saying. 49 00:02:38,919 --> 00:02:42,119 Speaker 1: Right, Yeah, we just called a fleazy feline. 50 00:02:42,680 --> 00:02:46,320 Speaker 4: Oh that's out of bounds. Right there, we're told this 51 00:02:46,360 --> 00:02:49,200 Speaker 4: is very amusing. Let's find out together. It's a comedian 52 00:02:49,280 --> 00:02:57,680 Speaker 4: Ami Kozak Tucker Carlson versus Tucker Carlson, which number twelve? 53 00:02:57,760 --> 00:03:00,400 Speaker 5: Michael, didn't you support Donald Trump? Of course I did, Yes, 54 00:03:00,440 --> 00:03:01,880 Speaker 5: I can't paign for him. And you know he's been 55 00:03:01,960 --> 00:03:04,960 Speaker 5: very pro Israel. He supports Israel. Doesn't that mean by 56 00:03:05,000 --> 00:03:06,360 Speaker 5: extension you support his role? 57 00:03:06,400 --> 00:03:07,960 Speaker 1: Why does that? It doesn't mean that at all? Like 58 00:03:08,040 --> 00:03:10,000 Speaker 1: at all? Why don't you support Donald Trump if he 59 00:03:10,000 --> 00:03:11,360 Speaker 1: supported his roll? Why would you do that? 60 00:03:11,440 --> 00:03:12,880 Speaker 5: I don't see why you would do that if it's 61 00:03:12,880 --> 00:03:14,640 Speaker 5: against your values as an American? 62 00:03:14,760 --> 00:03:17,519 Speaker 1: I mean, well, what do you what do you want? 63 00:03:18,080 --> 00:03:20,160 Speaker 1: I mean, you support your candidate who probably supports is Roe. 64 00:03:20,160 --> 00:03:21,080 Speaker 1: I would think you was supported his roll. 65 00:03:21,080 --> 00:03:23,000 Speaker 5: Why would you support a candidate's supports is Roel If 66 00:03:23,000 --> 00:03:24,840 Speaker 5: you don't support his wrong, why would you contradict yourself? Well, 67 00:03:24,840 --> 00:03:26,520 Speaker 5: not as much as you're contradicting yourself. I mean, it's 68 00:03:26,639 --> 00:03:28,160 Speaker 5: speaking on both sides of your mouth. I mean, do 69 00:03:28,160 --> 00:03:28,760 Speaker 5: you have two moules? 70 00:03:28,800 --> 00:03:31,560 Speaker 1: I don't. Well, there's two miles you're talking. But once 71 00:03:31,600 --> 00:03:39,760 Speaker 1: I's being consistent one size now and then they explode. 72 00:03:42,120 --> 00:03:45,880 Speaker 1: Like the clip we played yesterday where Ted Cruz mentions 73 00:03:45,880 --> 00:03:47,960 Speaker 1: a Bible verse that like is one of his guiding 74 00:03:48,000 --> 00:03:50,080 Speaker 1: principles and Tucker says, you know, where where is it 75 00:03:50,120 --> 00:03:52,680 Speaker 1: in the Bible? Ted's a I don't remember, But you 76 00:03:52,720 --> 00:03:55,440 Speaker 1: don't know what you're so you're guiding philosophy. You don't 77 00:03:55,480 --> 00:03:57,960 Speaker 1: know where in the Bible that is. I mean, so 78 00:03:58,200 --> 00:04:01,760 Speaker 1: like that sort of thing. Yeah, right, I we're through here. 79 00:04:02,160 --> 00:04:06,160 Speaker 1: But I see what you're doing. No, no, no, yeah. 80 00:04:06,280 --> 00:04:09,960 Speaker 4: You can't even cite the chapter. What's the context it's in? 81 00:04:10,640 --> 00:04:12,480 Speaker 4: What the chapter of the Bible? 82 00:04:12,760 --> 00:04:16,880 Speaker 1: The Bible? I don't know. You don't even know the context. 83 00:04:16,880 --> 00:04:19,680 Speaker 4: So you take a random verse from the Bible out 84 00:04:19,680 --> 00:04:22,800 Speaker 4: of context, and you based your entire world view on it. 85 00:04:22,920 --> 00:04:26,400 Speaker 1: My entire world view it you just said it? What Wait, 86 00:04:27,360 --> 00:04:29,680 Speaker 1: you don't know the population of Iran? How could you 87 00:04:29,720 --> 00:04:33,119 Speaker 1: possibly want to stop them from getting a nuclear weapon? 88 00:04:33,120 --> 00:04:37,719 Speaker 1: When you don't know the population. Yeah, yep, yep. Well. 89 00:04:37,760 --> 00:04:40,560 Speaker 4: In other news, an appeals court has let Trump keep 90 00:04:40,600 --> 00:04:43,880 Speaker 4: control of the California National Guard troops in LA, quickly 91 00:04:43,920 --> 00:04:49,159 Speaker 4: overturning the San Francisco hippie judges in defensible decision the 92 00:04:49,279 --> 00:04:52,680 Speaker 4: other day saying, we conclude it as likely that the 93 00:04:52,680 --> 00:04:55,720 Speaker 4: President lawfully exercise statutory authority. 94 00:04:56,760 --> 00:05:00,240 Speaker 1: And have had it. Does that doesn't the whole LA 95 00:05:00,360 --> 00:05:04,400 Speaker 1: riots thing. So it was last Saturday that I drove 96 00:05:04,720 --> 00:05:06,760 Speaker 1: through Los Angeles to take my son to the boy 97 00:05:06,760 --> 00:05:08,719 Speaker 1: Scout camp and I'm picking him up tomorrow, and it 98 00:05:08,800 --> 00:05:11,039 Speaker 1: was all the talk and I was like, what is 99 00:05:11,040 --> 00:05:12,440 Speaker 1: it going to be like at the protests and the 100 00:05:12,440 --> 00:05:15,680 Speaker 1: no kings? That seems like that was six years ago. Yeah, 101 00:05:15,760 --> 00:05:19,760 Speaker 1: it was six days ago. Yeah, their ace of news 102 00:05:19,800 --> 00:05:22,520 Speaker 1: and what's important is just it's too much to handle, right, 103 00:05:22,600 --> 00:05:23,080 Speaker 1: no kidding. 104 00:05:23,080 --> 00:05:26,560 Speaker 4: And there's still unrest and there will be more demonstrations 105 00:05:26,600 --> 00:05:28,400 Speaker 4: and violence, you know at some point. 106 00:05:28,440 --> 00:05:28,760 Speaker 1: I don't know. 107 00:05:28,800 --> 00:05:31,080 Speaker 4: I'm not in the mood today, but some of the 108 00:05:31,080 --> 00:05:35,799 Speaker 4: poll numbers coming out about Americans' willingness to see law 109 00:05:35,880 --> 00:05:39,680 Speaker 4: abiding illegal immigrants rounded up and set out sent out 110 00:05:40,000 --> 00:05:40,880 Speaker 4: is not high. 111 00:05:41,000 --> 00:05:42,760 Speaker 1: Okay, Well, then you better change the law because the 112 00:05:42,839 --> 00:05:44,080 Speaker 1: losses that they need to go. 113 00:05:44,800 --> 00:05:47,440 Speaker 4: Yeah, what I called earlier the Armstrong doctrine, which is 114 00:05:47,880 --> 00:05:54,960 Speaker 4: logically absolutely correct, but there's not the will to make 115 00:05:55,000 --> 00:05:55,440 Speaker 4: it happen. 116 00:05:55,560 --> 00:05:58,160 Speaker 1: Okay, you can't get far enough down that road. Hey 117 00:05:58,240 --> 00:05:59,960 Speaker 1: find that. I want a list of the other federal 118 00:06:00,120 --> 00:06:03,120 Speaker 1: laws we get to ignore. Oh yeah, yeah, I agree 119 00:06:03,160 --> 00:06:04,760 Speaker 1: with you completely. All right. 120 00:06:05,080 --> 00:06:08,560 Speaker 4: I'm just politics is the art of the possible jack, 121 00:06:08,600 --> 00:06:11,200 Speaker 4: and I'm telling you, judging by what I see, it's 122 00:06:11,279 --> 00:06:13,800 Speaker 4: not going to be possible to push it as far 123 00:06:13,839 --> 00:06:16,359 Speaker 4: as you're talking about, even though that's a great idea. 124 00:06:17,160 --> 00:06:21,640 Speaker 1: Want to hear my favorite headline from today? Yeah, there 125 00:06:21,640 --> 00:06:24,040 Speaker 1: are many good ones, but I like this one. Pope 126 00:06:24,080 --> 00:06:29,160 Speaker 1: Leo the fourteenth has many famous cousins, including Madonna, Justin Bieber, 127 00:06:29,279 --> 00:06:33,039 Speaker 1: and Moore. Why does why is the pope cousins with 128 00:06:33,080 --> 00:06:36,240 Speaker 1: the Madonna, Justin Bieber and Moore? What why is that? 129 00:06:36,360 --> 00:06:39,760 Speaker 4: I'm not cousins with anybody famous that you know of. 130 00:06:39,920 --> 00:06:41,599 Speaker 4: It's probably a distant cousin thing. 131 00:06:41,760 --> 00:06:44,800 Speaker 1: Oh yeah, I'll bet you're right. Somebody did some sort 132 00:06:44,839 --> 00:06:46,240 Speaker 1: of twenty three and me thing. And like, if you 133 00:06:46,240 --> 00:06:49,720 Speaker 1: go far enough out We're all related to Madonna at. 134 00:06:49,640 --> 00:06:53,040 Speaker 4: Some point, right, yeah, God help us. So getting back 135 00:06:53,040 --> 00:06:56,359 Speaker 4: to the unrest in LA. Uh, this is a great 136 00:06:56,360 --> 00:07:01,080 Speaker 4: piece by Heather McDonald. She's talking about, well, the headline 137 00:07:01,120 --> 00:07:05,599 Speaker 4: is rioting acceptable? If so, how much a judge shrugged 138 00:07:05,600 --> 00:07:08,839 Speaker 4: off some stray, isolent incidents LA Police sources still a 139 00:07:08,920 --> 00:07:12,520 Speaker 4: very different story. We don't have s under control. An 140 00:07:12,680 --> 00:07:16,400 Speaker 4: LAPD commander told me on Sunday, it's a godsend that 141 00:07:16,480 --> 00:07:20,120 Speaker 4: the National Guard and the Marines are here. Officers on 142 00:07:20,160 --> 00:07:22,840 Speaker 4: the street felt the same way, though the LAPD forbids 143 00:07:22,880 --> 00:07:24,480 Speaker 4: them to express that view in public. 144 00:07:24,560 --> 00:07:29,960 Speaker 1: The commander said, I must say that an inside source 145 00:07:30,200 --> 00:07:34,080 Speaker 1: told me someone with a great deal of knowledge about 146 00:07:34,080 --> 00:07:39,360 Speaker 1: this for a very long time, that LAPD is pretty 147 00:07:39,400 --> 00:07:41,840 Speaker 1: unhappy with the lack of funny than beginning. We had 148 00:07:41,840 --> 00:07:44,560 Speaker 1: an ex LAPD guy on I don't remember the guest's 149 00:07:44,640 --> 00:07:48,880 Speaker 1: name day after the riots started talking about how many 150 00:07:49,040 --> 00:07:52,240 Speaker 1: people they're down from their peak a few years ago. 151 00:07:52,280 --> 00:07:56,080 Speaker 1: I mean, like thousands fewer police officers on the street 152 00:07:56,240 --> 00:07:59,680 Speaker 1: than they had a few years ago, and this we're overwhelmed. 153 00:07:59,800 --> 00:08:02,880 Speaker 1: We need the National Guard. We don't have it under control. 154 00:08:03,560 --> 00:08:07,160 Speaker 1: Is really a political plea for see, we need more officers, 155 00:08:07,160 --> 00:08:11,120 Speaker 1: we need more funding. Is what's driving that, which doesn't 156 00:08:11,160 --> 00:08:15,080 Speaker 1: make it phony in any way whatsoever. But that could 157 00:08:15,080 --> 00:08:18,640 Speaker 1: be the willingness to say to people we don't have 158 00:08:18,800 --> 00:08:21,680 Speaker 1: s under control or we're overwhelmed. We want as many 159 00:08:21,680 --> 00:08:22,800 Speaker 1: officers as we used. 160 00:08:22,640 --> 00:08:26,280 Speaker 4: To have, right, right, And that could just be the 161 00:08:26,440 --> 00:08:29,360 Speaker 4: union talking sure, because they want the payroll and the 162 00:08:29,400 --> 00:08:31,120 Speaker 4: rest of it. You know what it reminds me of, 163 00:08:31,720 --> 00:08:35,960 Speaker 4: in a funny way is whenever any like US military 164 00:08:36,120 --> 00:08:39,120 Speaker 4: action is discussed, you have a certain segment of the 165 00:08:40,160 --> 00:08:44,160 Speaker 4: chattering classes that say, oh so, Ray Theon and McDonald, 166 00:08:44,200 --> 00:08:47,440 Speaker 4: douglas and all, look at the military industrial complex can 167 00:08:47,480 --> 00:08:52,000 Speaker 4: get more money, right as if that's a reaction or 168 00:08:52,000 --> 00:08:56,320 Speaker 4: a rejection for every possible military action. 169 00:08:58,120 --> 00:09:00,479 Speaker 1: Money and war are in separable. 170 00:09:01,640 --> 00:09:05,480 Speaker 4: And what you have to figure out is okay, is 171 00:09:05,520 --> 00:09:09,199 Speaker 4: that the defense contractors talking through their mouthpieces on Capitol 172 00:09:09,280 --> 00:09:13,080 Speaker 4: Hill or is there actually a legitimate national defense need 173 00:09:13,280 --> 00:09:17,720 Speaker 4: here just to say, oh so the military industrial complex 174 00:09:17,760 --> 00:09:22,319 Speaker 4: can make more money. That's that's that's not a good argument, yeah, 175 00:09:22,400 --> 00:09:28,040 Speaker 4: because that's a constant. There are multiple big city police 176 00:09:28,040 --> 00:09:32,640 Speaker 4: forces that are way way down in personnel and completely demoralized. 177 00:09:32,880 --> 00:09:35,280 Speaker 1: I believe that to my bone. Sure. 178 00:09:36,360 --> 00:09:39,960 Speaker 4: And do the unions also have an interest in beefing 179 00:09:40,040 --> 00:09:42,080 Speaker 4: up the roles for financial reason? 180 00:09:42,240 --> 00:09:44,880 Speaker 1: Of course? Yeah? Would they be to have more than 181 00:09:44,920 --> 00:09:47,920 Speaker 1: they need? You damn right, they would, right exactly. 182 00:09:48,000 --> 00:09:49,760 Speaker 4: That's why you have to look at it as an 183 00:09:49,800 --> 00:09:53,880 Speaker 4: outside of observer or a civilian in charge of those 184 00:09:53,920 --> 00:09:55,600 Speaker 4: things and make those judgments. 185 00:09:56,160 --> 00:09:59,679 Speaker 1: Combining the military cost thing with Tucker Tuck. One of 186 00:09:59,720 --> 00:10:02,640 Speaker 1: the things Tucker said to Ted Cruz on that two 187 00:10:02,800 --> 00:10:06,360 Speaker 1: hour long thing that I watch was talking about the 188 00:10:06,400 --> 00:10:08,640 Speaker 1: amount of money. You don't know how much money we've 189 00:10:08,640 --> 00:10:12,200 Speaker 1: already spent in sending aircraft carriers. I mean, it's got 190 00:10:12,240 --> 00:10:15,080 Speaker 1: to be millions of dollars, and I thought, I'm sure 191 00:10:15,080 --> 00:10:17,559 Speaker 1: somebody could come up with that number. But our aircraft 192 00:10:17,559 --> 00:10:20,920 Speaker 1: carriers are cruising around the sea somewhere, so now they're 193 00:10:20,960 --> 00:10:23,040 Speaker 1: there instead of there. I don't understand how that's an 194 00:10:23,080 --> 00:10:23,720 Speaker 1: extra cost. 195 00:10:24,240 --> 00:10:27,600 Speaker 4: Did they burn x amount of extra fuel getting over 196 00:10:27,640 --> 00:10:30,360 Speaker 4: there instead of saying over here? Yeah, but it's like 197 00:10:30,440 --> 00:10:33,800 Speaker 4: you see that all the time. To make things over dramatic, 198 00:10:33,840 --> 00:10:38,760 Speaker 4: that it cost five million dollars in firefighting time and equipment, 199 00:10:39,400 --> 00:10:41,680 Speaker 4: which would have just been at the station house earning 200 00:10:41,679 --> 00:10:44,880 Speaker 4: that same amount of money if that hadn't happened. So, 201 00:10:45,559 --> 00:10:48,000 Speaker 4: you know, yeah, gotta be careful with that stuff. 202 00:10:48,559 --> 00:10:51,959 Speaker 1: Got a new poll the latest numbers on where people 203 00:10:52,080 --> 00:10:56,440 Speaker 1: are meeting in the dating world, going back to nineteen thirty. 204 00:10:56,480 --> 00:10:58,960 Speaker 1: We talked about this last year, but there are new 205 00:10:59,040 --> 00:11:02,520 Speaker 1: numbers out now. It turns out in nineteen thirty nobody 206 00:11:02,559 --> 00:11:07,720 Speaker 1: met online. Nobody. Wow, it's changed that much. It's changed 207 00:11:07,760 --> 00:11:15,240 Speaker 1: that much. Yes, we have that other stuff on the way. Well, 208 00:11:15,320 --> 00:11:16,280 Speaker 1: some big sports news. 209 00:11:16,280 --> 00:11:18,680 Speaker 6: The LA Lakers have been sold for a record ten 210 00:11:19,000 --> 00:11:23,320 Speaker 6: billion dollars ten billion for the Lakers. Meanwhile, the Utah 211 00:11:23,360 --> 00:11:25,680 Speaker 6: Jazz are on eBay and nobody's bid anything. 212 00:11:28,320 --> 00:11:32,440 Speaker 4: Still waiting for the opening bid was that I can't 213 00:11:32,480 --> 00:11:35,560 Speaker 4: imagine why the well, how did jazz come in for 214 00:11:35,600 --> 00:11:36,240 Speaker 4: a kicking there? 215 00:11:36,280 --> 00:11:40,800 Speaker 1: Well, and small market teams look at Indiana and Oklahoma 216 00:11:40,840 --> 00:11:46,400 Speaker 1: City here you're a little rated NBA Finals. So it 217 00:11:46,440 --> 00:11:47,120 Speaker 1: finally happened. 218 00:11:47,120 --> 00:11:49,679 Speaker 4: I've I've read these I brought these articles to the 219 00:11:49,720 --> 00:11:53,160 Speaker 4: show a couple of times about how young hipsters use 220 00:11:53,200 --> 00:11:57,200 Speaker 4: emojis differently than old folks and that the old people 221 00:11:57,280 --> 00:11:59,920 Speaker 4: need to get hip to it because you're freaking out 222 00:12:00,080 --> 00:12:02,880 Speaker 4: your your young workers by giving him a thumbs up. 223 00:12:03,360 --> 00:12:10,400 Speaker 4: Thumbs up means that's terrible. It's the equivalent of oh great, apparently, yeah, I. 224 00:12:10,360 --> 00:12:12,680 Speaker 1: Remember we talked about this before, but thumbs up is 225 00:12:12,720 --> 00:12:17,200 Speaker 1: like sarcastic. Well that's great, yes, because my son sends 226 00:12:17,240 --> 00:12:21,800 Speaker 1: me completely inappropriately based on my like a grown up 227 00:12:21,840 --> 00:12:25,680 Speaker 1: friend set the emoji of the tears streaming down the 228 00:12:25,720 --> 00:12:28,600 Speaker 1: face yes, which usually when adults send it to me, 229 00:12:28,640 --> 00:12:30,520 Speaker 1: it's like, you know, I'm really touched by that or 230 00:12:30,600 --> 00:12:34,000 Speaker 1: sad about that or whatever. He sends it, like when 231 00:12:34,000 --> 00:12:37,680 Speaker 1: he's he sends it when something's funny. He's laughing so hard, 232 00:12:37,720 --> 00:12:38,960 Speaker 1: he's crying, and it's. 233 00:12:39,000 --> 00:12:43,040 Speaker 4: So it's beyond the tears, just the tears are streaming out. 234 00:12:43,120 --> 00:12:46,400 Speaker 4: He's laughing so hard. Yes, exactly. Well, it's finally happened 235 00:12:46,400 --> 00:12:49,800 Speaker 4: to me. In my real life, my daughter got some 236 00:12:50,000 --> 00:12:56,840 Speaker 4: very good news academically and then included the snorting with 237 00:12:57,040 --> 00:13:03,840 Speaker 4: anger emoji, and I said, isn't that an angry emoji? 238 00:13:03,920 --> 00:13:08,120 Speaker 4: Because that's cool news, and she said, yeah, in this context, it's. 239 00:13:08,200 --> 00:13:12,960 Speaker 1: F Yeah, I don't know the snorting with anger emoji, 240 00:13:13,000 --> 00:13:15,840 Speaker 1: what's it look like? I'll send it to the group. 241 00:13:15,960 --> 00:13:18,560 Speaker 1: It's a round yellow faces, Katie, if you could. Yeah, 242 00:13:18,559 --> 00:13:19,439 Speaker 1: I'll send it to the group. 243 00:13:19,840 --> 00:13:21,960 Speaker 3: I haven't heard that one yet, though, I've only known 244 00:13:22,040 --> 00:13:23,560 Speaker 3: that to be like, augh. 245 00:13:24,800 --> 00:13:27,719 Speaker 4: No, yeah, that's that's it. You're just so exasperated, you're 246 00:13:28,040 --> 00:13:30,400 Speaker 4: snorting with anger. Yeah, apparently. 247 00:13:30,440 --> 00:13:34,080 Speaker 1: Not like I said, I sent an egg plant to 248 00:13:34,280 --> 00:13:36,120 Speaker 1: Linda in accounting because I thought her. 249 00:13:36,040 --> 00:13:42,920 Speaker 4: Report was good, god, accurate. That's how I denote good work. 250 00:13:43,480 --> 00:13:47,400 Speaker 4: There's the emoji in question. O, Katie just sent it 251 00:13:47,440 --> 00:13:47,840 Speaker 4: to the group. 252 00:13:47,880 --> 00:13:50,559 Speaker 1: I wondered why my phone just went off. I'm quickly 253 00:13:50,880 --> 00:13:54,199 Speaker 1: for that. I had never seen that exactly. I had 254 00:13:54,320 --> 00:13:56,200 Speaker 1: never seen that one before. Ever. 255 00:13:56,440 --> 00:13:58,880 Speaker 4: That's the first time I've ever seen that emoji. Yeah, 256 00:13:58,960 --> 00:14:01,400 Speaker 4: oh really, you're an anti emojis. 257 00:14:01,480 --> 00:14:05,040 Speaker 1: Yeah, emojis apparently, I remember I don't send emojis and 258 00:14:05,080 --> 00:14:07,920 Speaker 1: I don't text very much, so I guess that's the outside. 259 00:14:08,320 --> 00:14:10,959 Speaker 1: But so what do you use that one for? If 260 00:14:10,960 --> 00:14:12,160 Speaker 1: somebody had sent that to me, I. 261 00:14:12,120 --> 00:14:15,160 Speaker 4: Thought, what the hell is that? Yeah, to me, it's 262 00:14:15,440 --> 00:14:18,959 Speaker 4: I'm really pissed off. But no, it's a LFG. As 263 00:14:19,000 --> 00:14:20,480 Speaker 4: the kids say, let's a blanket go. 264 00:14:22,120 --> 00:14:25,440 Speaker 3: I'm fired up, you go out on a lemon, just 265 00:14:25,480 --> 00:14:27,720 Speaker 3: say no, it's not that's not what it's for. 266 00:14:29,360 --> 00:14:32,760 Speaker 1: Well, we can't have if we're gonna use the cartoons 267 00:14:32,800 --> 00:14:35,120 Speaker 1: like we're children to communicate, we have to have an 268 00:14:35,160 --> 00:14:39,920 Speaker 1: agreed upon meaning, just like we do with words. Yeah, 269 00:14:39,960 --> 00:14:42,360 Speaker 1: I'm gonna get I'm gonna get slammed into on the 270 00:14:42,440 --> 00:14:44,920 Speaker 1: driver's side door of my car, and some fifteen year 271 00:14:44,920 --> 00:14:47,960 Speaker 1: old's gonna say no stop signs to us mean hurry up. 272 00:14:50,240 --> 00:14:52,160 Speaker 1: Yeah again. Here's here's the deal. 273 00:14:52,280 --> 00:14:55,840 Speaker 4: Okay, we old, as you youngsters like to call us, 274 00:14:55,880 --> 00:14:58,120 Speaker 4: we own everything and we run and everything. 275 00:14:58,240 --> 00:15:00,040 Speaker 1: So am I going to adapt to you or you 276 00:15:00,440 --> 00:15:03,920 Speaker 1: that to me? Mmmmmmm. You can't come to me three 277 00:15:03,960 --> 00:15:05,960 Speaker 1: times a week and say I need some money for food. 278 00:15:06,000 --> 00:15:08,480 Speaker 1: I'm going to my friends and then tell me what 279 00:15:08,520 --> 00:15:12,239 Speaker 1: emojis mean. That's not the way it works around here, exactly. 280 00:15:12,440 --> 00:15:15,320 Speaker 1: Well said you want money to eat a Cane's chicken 281 00:15:15,360 --> 00:15:18,000 Speaker 1: from now on. The tears streaming down means you're sad, 282 00:15:18,080 --> 00:15:21,280 Speaker 1: all right, thumbs up means it's good. The thumbs down 283 00:15:21,320 --> 00:15:25,280 Speaker 1: means it's bad. All right, ps, get off my lawn 284 00:15:26,160 --> 00:15:27,080 Speaker 1: right right. 285 00:15:27,200 --> 00:15:30,240 Speaker 4: Tell your friends to here's the sidewalk, Look at the lawn, 286 00:15:30,720 --> 00:15:31,320 Speaker 4: look at it. 287 00:15:33,640 --> 00:15:36,800 Speaker 1: I have really entered the teenagers coming to me for 288 00:15:36,960 --> 00:15:40,400 Speaker 1: money phase of my life, which I knew what happened 289 00:15:40,400 --> 00:15:43,000 Speaker 1: because I I've seen it portrayed on television my whole life. 290 00:15:43,480 --> 00:15:46,160 Speaker 1: But oh boy, me and my friends are gonna go eat. 291 00:15:46,200 --> 00:15:47,000 Speaker 1: Is there any chance you. 292 00:15:46,920 --> 00:15:53,320 Speaker 4: Could coming up later? Guess who's urging Congress to defund 293 00:15:54,280 --> 00:16:01,080 Speaker 4: the National Museum of the American Latino Latino scholars who 294 00:16:01,120 --> 00:16:02,800 Speaker 4: say it's ridiculous and insulting. 295 00:16:03,040 --> 00:16:06,480 Speaker 1: Okay, cool, I like the sound of that. There is 296 00:16:06,640 --> 00:16:10,520 Speaker 1: a new The latest data is out on how people 297 00:16:10,800 --> 00:16:13,360 Speaker 1: meet in the dating world, which I'm not exactly sure 298 00:16:13,400 --> 00:16:17,280 Speaker 1: what that even means, giving the factors up. People don't 299 00:16:17,400 --> 00:16:20,480 Speaker 1: date or couple or have kids, so that that factors 300 00:16:20,520 --> 00:16:22,720 Speaker 1: into the whole thing too. But the latest, the latest 301 00:16:22,720 --> 00:16:25,760 Speaker 1: stats on there, and then my anecdotal evidence from people 302 00:16:25,800 --> 00:16:27,840 Speaker 1: I know who do that sort of thing. So that'd 303 00:16:27,880 --> 00:16:30,200 Speaker 1: be good on a Friday if you're if you're lonely 304 00:16:30,240 --> 00:16:34,520 Speaker 1: and sad. Wow, Wow, that ruined it. That brought me down. 305 00:16:34,680 --> 00:16:36,200 Speaker 1: I ruined it. I wish I hadn't said. I didn't 306 00:16:36,200 --> 00:16:38,440 Speaker 1: have to say sad. I could have just said, well, lonely, 307 00:16:38,440 --> 00:16:42,640 Speaker 1: it's kind of sad, alone and happy. I don't send 308 00:16:42,720 --> 00:16:45,800 Speaker 1: you an emoji right now, sad face emoji. But what 309 00:16:46,720 --> 00:16:50,080 Speaker 1: just a second, then there's a cute duck emoji. Why 310 00:16:50,080 --> 00:16:51,400 Speaker 1: did you send me an egg plant? 311 00:16:52,640 --> 00:16:55,040 Speaker 4: Because that means I don't appreciate what you just said 312 00:16:55,600 --> 00:16:58,480 Speaker 4: because it's the least think it's the least popular vegetable, 313 00:16:58,640 --> 00:16:59,400 Speaker 4: So it means I. 314 00:16:59,360 --> 00:17:04,840 Speaker 1: Don't like that. That's why understanding. Yes, So get into 315 00:17:04,880 --> 00:17:07,000 Speaker 1: those statistics and a bunch of other stuff on the way. 316 00:17:07,000 --> 00:17:08,879 Speaker 1: If you miss a segment, get the podcast Armstrong and 317 00:17:08,920 --> 00:17:15,560 Speaker 1: Getty on demand Armstrong and Getty, We listen to this. 318 00:17:15,680 --> 00:17:18,000 Speaker 6: Tinder just added a new feature that let's use this 319 00:17:18,080 --> 00:17:20,920 Speaker 6: coordinate double dates. 320 00:17:20,920 --> 00:17:26,639 Speaker 1: You meet three people you don't like. Well, that's interesting 321 00:17:28,160 --> 00:17:33,040 Speaker 1: is negative joke about tender and online dating app and 322 00:17:33,040 --> 00:17:35,280 Speaker 1: then people laughing and everything like that. I don't know 323 00:17:36,040 --> 00:17:38,840 Speaker 1: anything like I don't have I have no practical knowledge 324 00:17:38,880 --> 00:17:41,760 Speaker 1: of online dating because I've never done it or seen 325 00:17:41,800 --> 00:17:44,280 Speaker 1: a website or I mean, I only know what I've 326 00:17:44,320 --> 00:17:49,000 Speaker 1: heard people talk about. But I've I've heard almost entirely 327 00:17:49,080 --> 00:17:52,000 Speaker 1: negative stuff, at least in the last couple of years 328 00:17:53,119 --> 00:17:56,920 Speaker 1: about how awful it is, and and and the number 329 00:17:56,920 --> 00:17:58,919 Speaker 1: of people I've heard who deleted all their apps and 330 00:17:58,960 --> 00:18:01,360 Speaker 1: have given up on it because it's it's a it's 331 00:18:01,359 --> 00:18:04,200 Speaker 1: a it's only you know a handful of guys trying 332 00:18:04,240 --> 00:18:08,600 Speaker 1: to have sex and the end. Yes, Katie, UH drama 333 00:18:09,080 --> 00:18:10,000 Speaker 1: makes the stories. 334 00:18:10,080 --> 00:18:12,680 Speaker 3: I have several friends that have met the loves of 335 00:18:12,720 --> 00:18:14,840 Speaker 3: their lives and been gotten married thanks. 336 00:18:14,560 --> 00:18:17,199 Speaker 4: To quite a few listeners who've commented, you know what, 337 00:18:17,359 --> 00:18:20,400 Speaker 4: Jacket's what you described the big story, this is hot, 338 00:18:20,440 --> 00:18:22,480 Speaker 4: this is hot. You see the story everywhere it's hot, 339 00:18:22,520 --> 00:18:24,560 Speaker 4: and then backlash against what's hot. 340 00:18:24,600 --> 00:18:27,720 Speaker 1: It's actually terrible, It's terrible, over and over. But I 341 00:18:27,760 --> 00:18:30,000 Speaker 1: only know my own personal experience with just people I know, 342 00:18:30,119 --> 00:18:32,800 Speaker 1: and it's anecdotal, one hundred percent anecdotal, and the plural 343 00:18:32,880 --> 00:18:38,359 Speaker 1: anecdote is not data, but anecdotally. I know lots of 344 00:18:38,359 --> 00:18:42,520 Speaker 1: people who say and and it's all it was good. 345 00:18:43,720 --> 00:18:46,240 Speaker 1: What happened? Well, I can tell you one thing that 346 00:18:46,280 --> 00:18:49,720 Speaker 1: did happen that you might not know. Of match dot com, 347 00:18:49,760 --> 00:18:55,160 Speaker 1: but every single one of the other UH forums they own, 348 00:18:55,280 --> 00:18:59,240 Speaker 1: like practically all of them now. Match dot Com owns Tender, 349 00:18:59,560 --> 00:19:02,439 Speaker 1: and I've I've heard of these in the news, okay, 350 00:19:02,480 --> 00:19:05,560 Speaker 1: cubid and and I think Hinge and a bunch of 351 00:19:05,560 --> 00:19:09,320 Speaker 1: other stuff, maybe e harmony, but they own almost all 352 00:19:09,359 --> 00:19:13,720 Speaker 1: of them now, And there's some belief that they have 353 00:19:13,880 --> 00:19:17,840 Speaker 1: a reason to not have you match because if you 354 00:19:18,040 --> 00:19:21,080 Speaker 1: match with somebody you stay with, you're done as a customer. 355 00:19:21,640 --> 00:19:24,920 Speaker 1: Oh my gosh, costs purposes, So there is well, yeah, 356 00:19:25,000 --> 00:19:28,600 Speaker 1: there is some reason to you know, just string you along, 357 00:19:29,080 --> 00:19:31,640 Speaker 1: get you kind of close or not give you many 358 00:19:31,680 --> 00:19:33,320 Speaker 1: and you stay desperate and you stay on the. 359 00:19:33,560 --> 00:19:36,960 Speaker 4: I mean, of course there's an incentive for that. Yeah, yeah, 360 00:19:37,080 --> 00:19:40,440 Speaker 4: that's funny. I'm surprised the SEC hasn't stepped in and say, 361 00:19:40,640 --> 00:19:45,200 Speaker 4: you've got a monopoly uncoupling. We can't have this. Of course, 362 00:19:45,280 --> 00:19:47,480 Speaker 4: you could just meet somebody at the library or something 363 00:19:47,520 --> 00:19:49,840 Speaker 4: like that. Right the library, it's likely to be a junkie. 364 00:19:49,880 --> 00:19:54,359 Speaker 4: But anyway, depending where you live, you meet somebody at 365 00:19:54,400 --> 00:19:58,400 Speaker 4: the library is a particularly bad choice in the modern world. 366 00:19:58,440 --> 00:20:01,240 Speaker 1: Who's sleep upped in my head? Who meeting someone at 367 00:20:01,280 --> 00:20:07,480 Speaker 1: the library? People who read books, sir. The library is 368 00:20:07,520 --> 00:20:09,720 Speaker 1: for washing your feet in the sink, and we all 369 00:20:09,840 --> 00:20:14,960 Speaker 1: know that, or looking at porn on a taxpayer funded computer, 370 00:20:15,720 --> 00:20:17,080 Speaker 1: I guess. 371 00:20:16,840 --> 00:20:20,400 Speaker 4: Researching how do I hide a body? Not on your 372 00:20:20,400 --> 00:20:21,160 Speaker 4: own computer? 373 00:20:21,640 --> 00:20:25,640 Speaker 1: Right, But looking at the charts through the years, back 374 00:20:25,680 --> 00:20:28,400 Speaker 1: in the nineteen thirties, nobody met online. I think that's 375 00:20:28,400 --> 00:20:33,640 Speaker 1: an interesting piece of trivia, so revealing. But for all 376 00:20:33,680 --> 00:20:37,080 Speaker 1: of mankind time, it was the ice cream social and 377 00:20:37,160 --> 00:20:39,000 Speaker 1: friends and then church and that. So that was big 378 00:20:39,080 --> 00:20:41,960 Speaker 1: enough to think like. But the way online has exploded, 379 00:20:42,000 --> 00:20:45,679 Speaker 1: it dwarfs every other way of people meeting currently, at 380 00:20:45,760 --> 00:20:50,720 Speaker 1: least according to all these studies. So you know that 381 00:20:50,840 --> 00:20:54,280 Speaker 1: contradicts my anecdotal evidence, although it could have gotten a 382 00:20:54,280 --> 00:20:56,479 Speaker 1: lot worse just in the last couple of years, and 383 00:20:56,520 --> 00:21:00,200 Speaker 1: these charts would still be true, especially if Match dot 384 00:21:00,240 --> 00:21:03,000 Speaker 1: Com bought all the companies and has some reason to 385 00:21:06,800 --> 00:21:10,560 Speaker 1: you have zero reason to like perfect your algorithm, you know, 386 00:21:10,720 --> 00:21:16,600 Speaker 1: like TikTok perfected the algorithm to keep you engaged. I 387 00:21:16,600 --> 00:21:19,120 Speaker 1: don't know if Match dot com or well, they're all 388 00:21:19,160 --> 00:21:21,800 Speaker 1: match dot com now, but if Match dot com could 389 00:21:21,880 --> 00:21:25,320 Speaker 1: do that, even if somebody came in boss, I've done it. 390 00:21:25,440 --> 00:21:28,920 Speaker 1: I've figured out the algorithm that uh, nine times out 391 00:21:28,920 --> 00:21:31,320 Speaker 1: of ten will put people together that they'll be happy 392 00:21:31,359 --> 00:21:34,199 Speaker 1: the rest of their lives. Would you use that. I 393 00:21:34,240 --> 00:21:35,600 Speaker 1: think you probably wouldn't. 394 00:21:36,000 --> 00:21:38,880 Speaker 4: No, not only would you fire them, you'd shoot them 395 00:21:39,160 --> 00:21:42,399 Speaker 4: so they and hide their corpse, having researched it at 396 00:21:42,400 --> 00:21:45,680 Speaker 4: the library online, of course, to make sure that that 397 00:21:45,760 --> 00:21:46,720 Speaker 4: did not get out. 398 00:21:46,880 --> 00:21:49,119 Speaker 1: No, at the very least, change them radiator in the basement. 399 00:21:49,240 --> 00:21:51,400 Speaker 1: There are many options to keep this from coming out, 400 00:21:51,400 --> 00:21:53,719 Speaker 1: but we don't have to go through the various macob 401 00:21:53,800 --> 00:21:55,200 Speaker 1: examples exactly. 402 00:21:55,240 --> 00:21:58,480 Speaker 4: There are several hipop to mind. Oh right, wow, okay, 403 00:21:58,680 --> 00:22:01,960 Speaker 4: well it makes intuitive sense. 404 00:22:02,119 --> 00:22:03,960 Speaker 1: Yeah. I saw the New York Times article a while back. 405 00:22:04,000 --> 00:22:06,919 Speaker 1: I think I talked about this on their breakdown was 406 00:22:08,040 --> 00:22:11,439 Speaker 1: it's it's it's like I don't remember the exact numbers, 407 00:22:11,440 --> 00:22:14,080 Speaker 1: but this is close enough to write. It's like ten 408 00:22:14,160 --> 00:22:16,840 Speaker 1: to one women to men, first of all on there 409 00:22:17,280 --> 00:22:20,920 Speaker 1: and secondly, of the men, it's like the same ten 410 00:22:21,000 --> 00:22:24,480 Speaker 1: percent best looking guys who get all the dates with 411 00:22:24,760 --> 00:22:29,000 Speaker 1: like ninety percent of the women, and they're not interested 412 00:22:29,080 --> 00:22:34,359 Speaker 1: in a in a relationship past like you know, a 413 00:22:34,440 --> 00:22:37,200 Speaker 1: night or two, and so I mean that's and that's 414 00:22:37,200 --> 00:22:39,520 Speaker 1: what most of it is, at least according to that 415 00:22:39,520 --> 00:22:40,439 Speaker 1: New York Times article. 416 00:22:40,840 --> 00:22:44,560 Speaker 4: Maybe they have perfected the algorithm to do that right right, right, right, 417 00:22:44,680 --> 00:22:47,879 Speaker 4: right right, or to you know, continually match you up 418 00:22:47,880 --> 00:22:51,520 Speaker 4: with somebody who you're never going to connect with full time, 419 00:22:51,640 --> 00:22:52,280 Speaker 4: but close. 420 00:22:53,400 --> 00:22:56,160 Speaker 1: Boy, that would be a stroke of evil genius. Huh, 421 00:22:56,200 --> 00:22:59,640 Speaker 1: that would be evil. Yeah, yeah, And then they they 422 00:22:59,760 --> 00:23:02,640 Speaker 1: very being And then this article had a whole bunch 423 00:23:02,640 --> 00:23:04,600 Speaker 1: of stuff in there. This all sounds horrible to me, 424 00:23:04,640 --> 00:23:07,080 Speaker 1: and I can't imagine it. Just it just sounds like 425 00:23:07,160 --> 00:23:11,160 Speaker 1: setting yourself up for the worst rejection you can imagine 426 00:23:11,160 --> 00:23:14,560 Speaker 1: in your life, to to like, you know, to put 427 00:23:14,600 --> 00:23:16,959 Speaker 1: all this effort and everything like that and get like 428 00:23:17,080 --> 00:23:19,280 Speaker 1: no results. In some of the websites, people can give 429 00:23:19,280 --> 00:23:23,159 Speaker 1: you thumbs down and stuff. It's like, right, why am 430 00:23:23,200 --> 00:23:24,960 Speaker 1: I going back to high school? Are you gonna make 431 00:23:25,000 --> 00:23:26,840 Speaker 1: me go back to high school and live this again? 432 00:23:27,640 --> 00:23:30,919 Speaker 4: Or you could just approach a comely gal there in 433 00:23:30,960 --> 00:23:35,120 Speaker 4: the nonfiction section of the library, say, I see you're 434 00:23:35,160 --> 00:23:36,640 Speaker 4: looking at a book about fungus. 435 00:23:36,760 --> 00:23:41,520 Speaker 1: I too, am interested in the fungus for instance. You know, 436 00:23:41,920 --> 00:23:44,600 Speaker 1: let me transition quickly to my favorite library story before 437 00:23:44,600 --> 00:23:47,640 Speaker 1: we do something differently. I once was in the library, Gladys, 438 00:23:47,640 --> 00:23:49,120 Speaker 1: this is my one of my favorite stories. I've told 439 00:23:49,119 --> 00:23:50,639 Speaker 1: them many times but we have a lot of new noises. 440 00:23:50,920 --> 00:23:54,480 Speaker 1: Katie's never heard this story. I'm sure I'm in the library. 441 00:23:55,040 --> 00:23:55,760 Speaker 1: It matters. 442 00:23:55,800 --> 00:23:58,199 Speaker 4: It wasn't when you were in the stacks of the 443 00:23:58,240 --> 00:23:59,879 Speaker 4: college library in the toil. 444 00:24:00,480 --> 00:24:03,560 Speaker 1: This is a different story. It's totally different. It's funny. 445 00:24:03,600 --> 00:24:06,760 Speaker 1: I've got good library stories that I've told many times. 446 00:24:07,080 --> 00:24:10,080 Speaker 1: The other one was somebody trying to have a male 447 00:24:10,119 --> 00:24:12,919 Speaker 1: hookup is a very complicated I talked about it on 448 00:24:12,960 --> 00:24:15,440 Speaker 1: the One More Thing podcast the other night. I'm telling 449 00:24:15,480 --> 00:24:20,440 Speaker 1: all my library stories this week. For some reason. This one, 450 00:24:20,520 --> 00:24:24,879 Speaker 1: I'm in the library dressed like me, but me is 451 00:24:25,920 --> 00:24:28,840 Speaker 1: shaved head and I'm wearing Doc Martin's which is a 452 00:24:28,920 --> 00:24:32,159 Speaker 1: very common look for me. I'm in the library and 453 00:24:32,200 --> 00:24:34,520 Speaker 1: I'm in the World War Two section, which is not 454 00:24:35,040 --> 00:24:37,920 Speaker 1: uncommon either. I was talking about a book form World 455 00:24:37,920 --> 00:24:40,160 Speaker 1: War Two earlier in the show. I'm constantly reading books 456 00:24:40,160 --> 00:24:41,760 Speaker 1: about World War Two. But I'm in the World War 457 00:24:41,800 --> 00:24:48,320 Speaker 1: two section, shaved head, black Doc Martins, and a guy 458 00:24:48,359 --> 00:24:51,480 Speaker 1: walks by me and kind of gives me the look. Now, 459 00:24:51,680 --> 00:24:55,159 Speaker 1: having had the previous library experience that I mentioned on 460 00:24:55,160 --> 00:24:57,240 Speaker 1: One More Thing, I think he's just interested in me, 461 00:24:57,560 --> 00:25:00,280 Speaker 1: and I'm not interested in him because I'm teterossect and 462 00:25:00,280 --> 00:25:02,560 Speaker 1: I don't think much beyond it. I walk out of 463 00:25:02,600 --> 00:25:06,560 Speaker 1: the library. He's waiting for me outside, sitting on the 464 00:25:06,720 --> 00:25:09,320 Speaker 1: like the cement railing. He said, see you like World 465 00:25:09,400 --> 00:25:12,760 Speaker 1: War two books? Huh? You like? Uh? You like like 466 00:25:12,800 --> 00:25:15,560 Speaker 1: reading about hit Ler and stuff like that. We're having 467 00:25:15,600 --> 00:25:17,840 Speaker 1: a meeting Tuesday night. Just let you know. It's at 468 00:25:17,840 --> 00:25:19,800 Speaker 1: seven o'clock and it's at the whatever he thought I 469 00:25:19,880 --> 00:25:22,359 Speaker 1: was a neo Nazi. I got invited by a neo 470 00:25:22,400 --> 00:25:31,159 Speaker 1: Nazi to a Nazi party. My god, I know, in retrospect, 471 00:25:31,280 --> 00:25:33,080 Speaker 1: I told this on the air like the next day. 472 00:25:33,840 --> 00:25:37,160 Speaker 1: In retrospect, I kind of wish I'd have gone. Yeah, 473 00:25:37,400 --> 00:25:40,359 Speaker 1: I just could have investigated get out, but I was 474 00:25:40,480 --> 00:25:44,520 Speaker 1: so weirded out. I was so weirded out, oh you know. 475 00:25:45,119 --> 00:25:47,439 Speaker 1: And then I get my picture taken and somebody recognized me. 476 00:25:47,480 --> 00:25:50,800 Speaker 1: It's on the evening news, no one talk shows, but 477 00:25:53,880 --> 00:25:58,200 Speaker 1: that's how they start the meeting. Uh. But yeah, guy 478 00:25:58,320 --> 00:26:00,760 Speaker 1: actually invited me to a neo NATS party. Just got 479 00:26:00,760 --> 00:26:02,760 Speaker 1: add short hair and war Doc Martins like, you know, 480 00:26:02,920 --> 00:26:05,359 Speaker 1: like every lesbian in America, I mean, so what are 481 00:26:05,359 --> 00:26:08,800 Speaker 1: they all Nazis. No, Look, what did he look like? 482 00:26:09,640 --> 00:26:12,800 Speaker 1: He looked like me. He was in a T shirt, doc, 483 00:26:13,800 --> 00:26:16,320 Speaker 1: short hair, except he's a Nazi. Did he have the 484 00:26:16,359 --> 00:26:20,679 Speaker 1: white laces in his? Doc? Martins that he wasn't? I 485 00:26:20,720 --> 00:26:24,679 Speaker 1: think that's two. I mean, you're really outing yourself if 486 00:26:24,720 --> 00:26:29,040 Speaker 1: you go there, are you okay? I'm aware of this. Yeah, 487 00:26:29,119 --> 00:26:31,399 Speaker 1: that that's a full on I'm a racist Nazi if 488 00:26:31,440 --> 00:26:34,240 Speaker 1: you have white lace supremacist? But oh really, I did 489 00:26:34,240 --> 00:26:38,000 Speaker 1: not know that. Yeah, I've always I've always kind of 490 00:26:38,040 --> 00:26:40,040 Speaker 1: wished I have checked it out. But you know, it 491 00:26:40,119 --> 00:26:41,879 Speaker 1: might be one of those things you get in and 492 00:26:41,920 --> 00:26:44,760 Speaker 1: you know some people, and and and and it's it's 493 00:26:44,840 --> 00:26:49,080 Speaker 1: harder to untangle yourself from that than you think. Yeah, 494 00:26:49,119 --> 00:26:49,399 Speaker 1: I was. 495 00:26:49,680 --> 00:26:51,840 Speaker 4: I can think of all sorts of things that would 496 00:26:51,880 --> 00:26:57,000 Speaker 4: go wrong there. I mean not like like deadly wrong, 497 00:26:57,080 --> 00:26:58,840 Speaker 4: but just really really wrong. 498 00:26:59,720 --> 00:27:02,120 Speaker 1: If you're campus, all the Nazis are waving at you, 499 00:27:02,119 --> 00:27:02,400 Speaker 1: you know. 500 00:27:02,400 --> 00:27:08,840 Speaker 4: Oh, hey Jack, hey, well somebody recognizes here or whatever. 501 00:27:08,920 --> 00:27:11,600 Speaker 1: I mean, that's they were doomed. Yeah, they're walking down 502 00:27:11,680 --> 00:27:14,840 Speaker 1: through the park with their big swastika fleck. Hey Jack, Hey, 503 00:27:14,840 --> 00:27:15,840 Speaker 1: that was fun the other night. 504 00:27:17,320 --> 00:27:19,719 Speaker 4: And you're saying you know as the news shows up 505 00:27:19,720 --> 00:27:22,120 Speaker 4: at your front door. I just went out of curiosity. 506 00:27:22,200 --> 00:27:26,040 Speaker 4: You were curious about near Nazism. Well, yeah, I mean 507 00:27:26,040 --> 00:27:28,399 Speaker 4: it's it's it's terrible, obviously, but I wanted to go 508 00:27:28,440 --> 00:27:30,160 Speaker 4: to the meeting and meet some of the fellows. 509 00:27:30,720 --> 00:27:31,800 Speaker 1: I like the footwear. 510 00:27:31,880 --> 00:27:35,360 Speaker 4: I don't know what to say, fortunate. 511 00:27:35,640 --> 00:27:37,320 Speaker 1: Oh yeah, but you're right. You get to the meeting 512 00:27:37,320 --> 00:27:40,080 Speaker 1: and like, right off the bat, it's you got to 513 00:27:40,119 --> 00:27:42,200 Speaker 1: put your arm in the air and say, we blame 514 00:27:42,320 --> 00:27:44,480 Speaker 1: the Jews, we hate the Jews. Our goal is to 515 00:27:44,480 --> 00:27:47,560 Speaker 1: have the Jews annihilated and immediately and mean and I 516 00:27:47,560 --> 00:27:50,679 Speaker 1: are like, I can't be here, and then what are 517 00:27:50,720 --> 00:27:52,520 Speaker 1: you gonna just turn around and walk out the door? 518 00:27:52,600 --> 00:27:56,800 Speaker 1: And where are you going? Yeah? Again, so I probably 519 00:27:56,800 --> 00:27:58,760 Speaker 1: made the right decision, and just getting wide eyed and 520 00:27:58,880 --> 00:28:02,119 Speaker 1: uh no and walking away from the guy. Sell you 521 00:28:02,280 --> 00:28:04,359 Speaker 1: like World War two books, don't you? Yeah, me and 522 00:28:04,440 --> 00:28:06,920 Speaker 1: every other male in America. What the hell is this? 523 00:28:07,560 --> 00:28:12,280 Speaker 1: You're casting a pretty quill in that garb? Please, I 524 00:28:12,680 --> 00:28:15,440 Speaker 1: male pattern baldness. I keep my hair short. Michael Jordan 525 00:28:15,520 --> 00:28:18,560 Speaker 1: made it popular. That's not make doesn't make it a Nazi. 526 00:28:18,920 --> 00:28:20,440 Speaker 1: You doubled down with the Doc Martins. 527 00:28:20,920 --> 00:28:23,640 Speaker 4: True, Yeah, I tell you what I'm you know, hanging 528 00:28:23,640 --> 00:28:25,960 Speaker 4: around in Oregon wearing a pink tutu and some guy 529 00:28:26,000 --> 00:28:27,359 Speaker 4: assumes I swing his way. 530 00:28:27,400 --> 00:28:32,480 Speaker 1: You can't fault him more in the uniform, huh, were 531 00:28:32,520 --> 00:28:34,119 Speaker 1: in heels in a short skirt and they made all 532 00:28:34,200 --> 00:28:38,880 Speaker 1: kinds of assumptions. Right, we wanted to get to the 533 00:28:39,040 --> 00:28:41,840 Speaker 1: hilarious music bed that is all the rage right now. 534 00:28:41,840 --> 00:28:45,200 Speaker 1: If you're gonna do a meme and mock something that's 535 00:28:45,200 --> 00:28:48,240 Speaker 1: supposed to be serious, this is the way to mock it. 536 00:28:48,880 --> 00:28:50,880 Speaker 1: Katie hipped us to this, and it's so dang funny. 537 00:28:50,920 --> 00:28:55,960 Speaker 1: We'll have that coming up for you next Yeah. I 538 00:28:55,960 --> 00:28:58,000 Speaker 1: looked it up. So in case you didn't know this, 539 00:28:58,120 --> 00:29:03,560 Speaker 1: match dot Com owns tender, ok Cupid, plenty of fish hinge, 540 00:29:03,800 --> 00:29:09,640 Speaker 1: black people meet upward, Christian dating, all kinds of yeah, 541 00:29:09,680 --> 00:29:14,240 Speaker 1: and that interesting one company. Yeah. So we mocked quite 542 00:29:14,280 --> 00:29:20,160 Speaker 1: a bit last week. The Senator Padilla running at the 543 00:29:20,200 --> 00:29:23,920 Speaker 1: Homeland Secretary and then being pushed back by Secret Service. 544 00:29:23,960 --> 00:29:26,360 Speaker 1: He's lucky he didn't get a rifle button in the 545 00:29:26,400 --> 00:29:29,120 Speaker 1: face or something, but he got pushed to the ground 546 00:29:29,120 --> 00:29:31,720 Speaker 1: and then he acted like it was some sort of oppressive. 547 00:29:32,000 --> 00:29:35,400 Speaker 1: Clearly Hitler Trump is Hitler sort of thing. Oh yeah, 548 00:29:35,440 --> 00:29:36,880 Speaker 1: Ashley is the term fascist. 549 00:29:36,920 --> 00:29:39,560 Speaker 4: He so clearly tried to haul himself up on the 550 00:29:39,600 --> 00:29:43,320 Speaker 4: cross and become the savior of brave Latino voters everywhere 551 00:29:43,800 --> 00:29:49,440 Speaker 4: by his like fake getting arrested drama. It's just pathetic. 552 00:29:49,560 --> 00:29:52,720 Speaker 4: And then he comes out afterward and gives this on 553 00:29:52,840 --> 00:29:57,960 Speaker 4: the very verge of tears statement about how terrible an 554 00:29:58,000 --> 00:29:58,960 Speaker 4: experience it was. 555 00:29:59,200 --> 00:30:01,520 Speaker 1: And then you com bin with this. Katie hipped us 556 00:30:01,520 --> 00:30:04,320 Speaker 1: to the fact that there's a meme, now is it? 557 00:30:05,040 --> 00:30:07,920 Speaker 1: High school kids are great school kids. I think this 558 00:30:08,080 --> 00:30:13,120 Speaker 1: was like an elementary school thing. Yeah, playing my Heart 559 00:30:13,160 --> 00:30:16,360 Speaker 1: will go on on the fourth grade recorder, remember that 560 00:30:16,440 --> 00:30:19,120 Speaker 1: musical instrument poorly? And you put this under things you 561 00:30:19,160 --> 00:30:21,560 Speaker 1: want to mock the seriousness of, and it sounds like this. 562 00:30:22,080 --> 00:30:28,400 Speaker 7: I was forced to the ground, first on my knees 563 00:30:30,960 --> 00:30:40,560 Speaker 7: and then flat on my chest and its handcuffed and 564 00:30:40,720 --> 00:30:47,920 Speaker 7: marched down a hallway, repeatedly asking why am I being detained? 565 00:30:52,360 --> 00:30:55,880 Speaker 1: That is so good? That is really really that you 566 00:30:55,960 --> 00:30:59,600 Speaker 1: could not write words that would be better mockery than that. 567 00:31:00,240 --> 00:31:04,600 Speaker 4: Oh that is perfect and exactly what he deserves. 568 00:31:05,520 --> 00:31:08,960 Speaker 1: It's justice. And hilarity. I love that. 569 00:31:10,680 --> 00:31:13,560 Speaker 4: So, a coalition of more than twenty Latino scholars and 570 00:31:13,600 --> 00:31:15,840 Speaker 4: community leaders are asking Speaker of the House of Mike 571 00:31:15,920 --> 00:31:19,640 Speaker 4: Johnson to defund the Smithsonian's National Museum of the American 572 00:31:19,720 --> 00:31:24,360 Speaker 4: Latino has outlined the president's discretionary budget request. 573 00:31:25,560 --> 00:31:28,600 Speaker 1: Uh said Alfonso at is that on the part of 574 00:31:28,600 --> 00:31:32,720 Speaker 1: the Smithsonian mall thing, is it not built yet? Okay, 575 00:31:32,720 --> 00:31:35,120 Speaker 1: because there's a bunch of those now that didn't exist 576 00:31:35,360 --> 00:31:38,080 Speaker 1: years ago the last time I'd been to DC. Yeah, 577 00:31:38,160 --> 00:31:38,600 Speaker 1: it's like. 578 00:31:38,560 --> 00:31:41,920 Speaker 4: The African American Museum that rose up in the wake 579 00:31:41,960 --> 00:31:46,840 Speaker 4: of various cultural moments American there was a bunch of them, right, Yeah, exactly. 580 00:31:47,320 --> 00:31:49,280 Speaker 4: It hasn't yet been built, but it was going to 581 00:31:49,320 --> 00:31:52,600 Speaker 4: be funded for many millions of dollars in Alfonso Aguilar, 582 00:31:53,040 --> 00:31:56,280 Speaker 4: director of Hispanic Engagement at the American Principles Project, said, quote, 583 00:31:56,280 --> 00:31:58,320 Speaker 4: President Trump is right, it's time to take back our 584 00:31:58,360 --> 00:32:01,720 Speaker 4: institutions of culture. That's why he wants to defund this 585 00:32:01,800 --> 00:32:06,640 Speaker 4: woke travesty. Congress should now not allow the development of 586 00:32:06,680 --> 00:32:08,520 Speaker 4: a museum that's going to be used to push a 587 00:32:08,560 --> 00:32:12,080 Speaker 4: radical agenda of grievances and anti American ideologies. 588 00:32:13,280 --> 00:32:14,680 Speaker 1: The letter goes on to state. 589 00:32:16,080 --> 00:32:20,880 Speaker 4: Ah, oh, it's a permanent exhibition right now in the 590 00:32:20,960 --> 00:32:25,440 Speaker 4: National Museum of American History entitled present Day, a Latino. 591 00:32:25,120 --> 00:32:26,640 Speaker 1: History of the United States. 592 00:32:26,680 --> 00:32:30,160 Speaker 4: Sadly, the letter states, quote, this museum is being used 593 00:32:30,160 --> 00:32:33,840 Speaker 4: to present to the public a culturally Marxist depiction of 594 00:32:33,880 --> 00:32:37,960 Speaker 4: the experiences of Hispanics in America. The museum's flagship exhibit, 595 00:32:38,000 --> 00:32:41,000 Speaker 4: in fact, proposes that the history of Americans of Hispanic 596 00:32:41,040 --> 00:32:45,040 Speaker 4: origin should be reduced to a quote struggle for justice 597 00:32:45,240 --> 00:32:49,200 Speaker 4: to achieve a mostly leftist agendon labor or education, access, fairhousing, 598 00:32:49,200 --> 00:32:54,160 Speaker 4: and more recently immigration justice from LGBT plus Q rights, etc. 599 00:32:55,200 --> 00:32:55,480 Speaker 1: Yeah. 600 00:32:55,600 --> 00:32:59,000 Speaker 4: Accordingly, Hispanics are pervasively portrayed as an oppressed people in 601 00:32:59,040 --> 00:33:03,160 Speaker 4: their Spanish era and Christian roots ignored or disparaged. 602 00:33:03,960 --> 00:33:05,880 Speaker 1: Yeah, the Spanish got over on a whole bunch of 603 00:33:05,920 --> 00:33:10,240 Speaker 1: other cultures, like wiped them out, murdered them so that 604 00:33:10,280 --> 00:33:13,200 Speaker 1: they could be the dominant culture for a while. Yeah, 605 00:33:13,240 --> 00:33:16,320 Speaker 1: I remember, so there was a variety of things like that. 606 00:33:16,400 --> 00:33:19,240 Speaker 1: I was just at that museum not that long ago 607 00:33:19,280 --> 00:33:22,000 Speaker 1: with my kids, if you remember me talking about it, 608 00:33:22,400 --> 00:33:25,080 Speaker 1: And I didn't visit that stuff. But then even in 609 00:33:25,160 --> 00:33:27,360 Speaker 1: the natural history part where it was just, you know, 610 00:33:27,520 --> 00:33:30,400 Speaker 1: here's a stuffed saber tooth tiger or whatever it was. 611 00:33:30,720 --> 00:33:34,960 Speaker 1: Constant climate change is why this animal got wiped out 612 00:33:35,000 --> 00:33:38,200 Speaker 1: in Mankind's the love of the automobile and blah blah blah. 613 00:33:38,240 --> 00:33:41,840 Speaker 1: It's just never ending, that sort of thing. Yeah. One 614 00:33:41,880 --> 00:33:42,280 Speaker 1: of the. 615 00:33:42,160 --> 00:33:44,200 Speaker 4: Guys at the National Review, I can't remember if it 616 00:33:44,240 --> 00:33:46,320 Speaker 4: was Rich Lowry, wrote a piece a number of months 617 00:33:46,360 --> 00:33:48,920 Speaker 4: ago that it was right at the beginning of Trump's 618 00:33:48,960 --> 00:33:53,720 Speaker 4: term that if Trump wanted to be successful in beating 619 00:33:53,840 --> 00:33:58,520 Speaker 4: back the whole woke insanity movement, that he had to focus. 620 00:33:58,800 --> 00:34:02,080 Speaker 4: There were like four points, and obviously one was education 621 00:34:02,120 --> 00:34:05,800 Speaker 4: in the universities, but one of them was saying, people 622 00:34:05,880 --> 00:34:08,759 Speaker 4: need to get hold of our cultural institution, specifically our 623 00:34:08,840 --> 00:34:12,480 Speaker 4: museums again, because the museums on the National Mall are 624 00:34:12,600 --> 00:34:16,840 Speaker 4: all run I shouldn't say all. They are heavily heavily 625 00:34:16,960 --> 00:34:21,920 Speaker 4: run by a heavily leftist point of view, to the 626 00:34:21,920 --> 00:34:25,160 Speaker 4: point that even you know, mastodons somehow, you know, involved 627 00:34:25,200 --> 00:34:29,080 Speaker 4: global warming and the racism of African elephants or something 628 00:34:29,120 --> 00:34:31,200 Speaker 4: like that and the immigrant elephants or something. 629 00:34:31,920 --> 00:34:35,120 Speaker 1: Yeah, it's just ridiculous. We got a text from somebody 630 00:34:35,120 --> 00:34:37,200 Speaker 1: getting back to the story last segments. We got a 631 00:34:37,239 --> 00:34:38,960 Speaker 1: text from somebody who says they got invited to a 632 00:34:38,960 --> 00:34:41,319 Speaker 1: barbecue one time and they got there and it was 633 00:34:41,320 --> 00:34:45,600 Speaker 1: a neo Nazi meeting. Oh boy, they had made assumptions 634 00:34:45,600 --> 00:34:46,480 Speaker 1: about them. 635 00:34:46,800 --> 00:34:48,440 Speaker 4: Well, how was the food? As long as I'm here? 636 00:34:48,520 --> 00:34:52,000 Speaker 4: Yeahs again Heinrich. 637 00:34:52,640 --> 00:34:57,040 Speaker 1: Damn, oh jeez, excuse me whooping cough. If you miss 638 00:34:57,040 --> 00:34:59,200 Speaker 1: a segment or now, or get the podcast Armstrong and 639 00:34:59,239 --> 00:35:03,680 Speaker 1: Getty on demand if we have hamburgers went brought fast 640 00:35:03,880 --> 00:35:06,040 Speaker 1: like if you want to hear my other library story 641 00:35:07,480 --> 00:35:10,120 Speaker 1: which involves a near hookup, you can look for our 642 00:35:10,400 --> 00:35:12,799 Speaker 1: One More Thing podcast, same spot. 643 00:35:13,239 --> 00:35:16,080 Speaker 4: Yeah, wherever you subscribe to podcasts, subscribe to ours and 644 00:35:16,239 --> 00:35:19,320 Speaker 4: enjoy the Schnitzel Armstrong and Getty