1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,240 --> 00:00:07,640 Speaker 1: Washington Broadcast Center. 3 00:00:07,840 --> 00:00:10,280 Speaker 2: Jack Armstrong and Joe Getty. 4 00:00:10,160 --> 00:00:17,720 Speaker 3: I'm Strong and Jack Katy and Key Armstrong and Yetty. 5 00:00:23,680 --> 00:00:26,200 Speaker 4: Valentine's Day and McDonald's with caviar. 6 00:00:26,160 --> 00:00:26,840 Speaker 2: Prepare yourself. 7 00:00:26,840 --> 00:00:29,960 Speaker 5: The fast food chain is offering customers McNugget caviar kits 8 00:00:29,960 --> 00:00:31,040 Speaker 5: for Valentine's Day. 9 00:00:31,080 --> 00:00:33,760 Speaker 4: Every single kit includes a one ounce ten of caviar, 10 00:00:33,880 --> 00:00:36,879 Speaker 4: a twenty five dollars McDonald's gift card, crumb fresh, and 11 00:00:36,920 --> 00:00:38,640 Speaker 4: a mother of pearl caviar spoon. 12 00:00:38,840 --> 00:00:42,040 Speaker 5: But get this, it's all on McDonald's, meaning it's free 13 00:00:42,080 --> 00:00:44,479 Speaker 5: for you. The McNugget Caviar Kids are available for a 14 00:00:44,479 --> 00:00:47,120 Speaker 5: limited time online only, beginning February tenth. 15 00:00:47,120 --> 00:00:50,840 Speaker 4: The kids drop at eleven am Eastern ten am Central Tuesday. 16 00:00:50,440 --> 00:00:52,800 Speaker 2: The tenth, online only. 17 00:00:53,040 --> 00:00:55,320 Speaker 1: Okay, so you can't go through the drive through on 18 00:00:55,400 --> 00:01:00,600 Speaker 1: Valentine Day with your sweetheart and get the mc donald's 19 00:01:00,800 --> 00:01:03,440 Speaker 1: McNugget caviar Valentine's Day kit? 20 00:01:04,440 --> 00:01:06,840 Speaker 3: Was Where was that from that audio? I don't know. 21 00:01:06,880 --> 00:01:08,200 Speaker 3: It's weird though, isn't it. 22 00:01:08,200 --> 00:01:11,800 Speaker 2: It was a commercial. I mean it was just a commercial. 23 00:01:15,920 --> 00:01:18,960 Speaker 1: That's one of your better stunt foods right there, McNugget 24 00:01:19,000 --> 00:01:20,959 Speaker 1: caviar for Valentine's Day. 25 00:01:22,440 --> 00:01:24,000 Speaker 2: And I assume. 26 00:01:23,680 --> 00:01:26,160 Speaker 1: Everyone who would do that would be doing it. Ironically, 27 00:01:26,240 --> 00:01:30,080 Speaker 1: nobody's going to be doing it, sincerely, Yes, Katie, Oh no, 28 00:01:30,200 --> 00:01:33,680 Speaker 1: that audio was a report from a local news station 29 00:01:33,720 --> 00:01:38,959 Speaker 1: in Milwaukee, speaking of news, probably laid off all their 30 00:01:39,000 --> 00:01:41,720 Speaker 1: reporters and don't have any actual news. Well right, speaking 31 00:01:41,760 --> 00:01:44,120 Speaker 1: of news and that sort of thing, The Washington Post 32 00:01:44,520 --> 00:01:47,520 Speaker 1: is in the midst of, as we speak, a video 33 00:01:47,600 --> 00:01:50,760 Speaker 1: call in which they are laying off hundreds of people, 34 00:01:50,960 --> 00:01:56,240 Speaker 1: hundreds bezos, announced to the Washington Post employees, everybody stay 35 00:01:56,280 --> 00:02:01,600 Speaker 1: home today, log into the videoing a zoom call, and 36 00:02:01,600 --> 00:02:04,680 Speaker 1: then they're they're laying You know, if you work for 37 00:02:04,680 --> 00:02:06,320 Speaker 1: a big company, you've probably been through one of these 38 00:02:06,480 --> 00:02:09,040 Speaker 1: or two or eight in the last several years. And 39 00:02:09,040 --> 00:02:13,639 Speaker 1: they're laying off three hundred plus so far. New York 40 00:02:13,680 --> 00:02:16,560 Speaker 1: Times has got an article about it. They're probably fairly 41 00:02:16,600 --> 00:02:19,520 Speaker 1: gleeful that one of their top competitors is taken into shorts. 42 00:02:19,520 --> 00:02:24,880 Speaker 1: Are actually maybe they're not, probably not happy that newspapers 43 00:02:24,919 --> 00:02:25,400 Speaker 1: are dying. 44 00:02:26,000 --> 00:02:27,560 Speaker 2: Mixed blessing for sure. 45 00:02:27,600 --> 00:02:31,520 Speaker 1: Yeah, and points out that the Washington Post, for instance, 46 00:02:31,600 --> 00:02:36,799 Speaker 1: readership has had in the last couple of years. 47 00:02:36,800 --> 00:02:40,359 Speaker 2: And uh, this is not good. I know, I know how. 48 00:02:40,560 --> 00:02:42,280 Speaker 1: Yeah, a lot of y'all hate you know, a lot 49 00:02:42,320 --> 00:02:44,960 Speaker 1: of these left cleaning big news organizations, and I understand 50 00:02:44,960 --> 00:02:50,440 Speaker 1: why they've earned it, But man, any of your big 51 00:02:50,520 --> 00:02:53,120 Speaker 1: we all read them, try to hold them to some 52 00:02:53,160 --> 00:02:56,840 Speaker 1: sort of standard news outlets of them all going away 53 00:02:57,639 --> 00:03:00,919 Speaker 1: and everybody just having their own face, favorite people they 54 00:03:00,919 --> 00:03:04,639 Speaker 1: fall on Twitter or Instagram or TikTok who are spouting 55 00:03:04,800 --> 00:03:08,799 Speaker 1: crap all the time. We cannot, Honestly, I'm not even exaggerating. 56 00:03:09,120 --> 00:03:12,200 Speaker 1: We cannot function as a society like that. 57 00:03:12,600 --> 00:03:13,760 Speaker 2: It won't work. 58 00:03:14,680 --> 00:03:17,760 Speaker 6: I agree with everything you say, I agree with everything 59 00:03:17,800 --> 00:03:20,760 Speaker 6: you said five years ago. What you need to do 60 00:03:21,280 --> 00:03:26,720 Speaker 6: is except that that horse has left the barn. Those 61 00:03:26,960 --> 00:03:29,919 Speaker 6: big organizations lost their trust years ago. They're not too 62 00:03:29,919 --> 00:03:31,280 Speaker 6: many interested, They're terrible. 63 00:03:31,320 --> 00:03:31,880 Speaker 3: They earned it. 64 00:03:32,000 --> 00:03:34,840 Speaker 6: They flush their credibility down the toilet and it's gone. 65 00:03:35,360 --> 00:03:37,880 Speaker 6: You still feel like they could grab it back. I 66 00:03:37,960 --> 00:03:39,280 Speaker 6: am less optimistic. 67 00:03:39,440 --> 00:03:41,240 Speaker 2: You're right, Actually, you're probably You're probably right. 68 00:03:41,280 --> 00:03:42,960 Speaker 1: First of all, you got to be I don't know 69 00:03:42,960 --> 00:03:45,320 Speaker 1: what age to even ever think about the new York 70 00:03:45,320 --> 00:03:47,800 Speaker 1: Times or The Washington Post or Facing the Nation or 71 00:03:47,840 --> 00:03:51,360 Speaker 1: any of those heritage, big important media sites. 72 00:03:51,360 --> 00:03:51,960 Speaker 2: Because if you're. 73 00:03:51,920 --> 00:03:54,720 Speaker 1: Under thirty, you've never even heard of these things, and 74 00:03:54,760 --> 00:03:57,000 Speaker 1: if you have, you've never checked them out. You certainly 75 00:03:57,000 --> 00:03:59,240 Speaker 1: aren't checking them out on a regular basis, So you're 76 00:03:59,280 --> 00:04:00,000 Speaker 1: probably right. 77 00:04:01,040 --> 00:04:03,560 Speaker 6: Speaking of the Wahpo. This is great from Nelly Bowles 78 00:04:03,560 --> 00:04:06,640 Speaker 6: in The Free Press. She mentions that the Washington Post 79 00:04:06,960 --> 00:04:10,320 Speaker 6: casually refers to the Free Quote the Free Press, a 80 00:04:10,400 --> 00:04:15,400 Speaker 6: conservative opinion website that CBS's parent company bought, a conservative 81 00:04:15,520 --> 00:04:18,440 Speaker 6: opinion site. She says, I pointed out only because the 82 00:04:18,520 --> 00:04:21,279 Speaker 6: Washington Post is expecting massive layoffs in the coming weeks 83 00:04:21,279 --> 00:04:23,960 Speaker 6: after their businesses have gone well tits up. 84 00:04:23,839 --> 00:04:24,560 Speaker 3: As she puts it. 85 00:04:24,760 --> 00:04:26,800 Speaker 6: What I'd like to propose is that these two things 86 00:04:26,839 --> 00:04:29,599 Speaker 6: are related. The Free Press is the most right wing 87 00:04:29,680 --> 00:04:32,920 Speaker 6: publication a Washington Post reporter can conjure in their minds. 88 00:04:33,160 --> 00:04:36,200 Speaker 6: A spectrum of politics for the wah Post staffer goes 89 00:04:36,240 --> 00:04:40,080 Speaker 6: from Bernie Sanders left to Zorn Mumdonni center left to 90 00:04:40,200 --> 00:04:44,040 Speaker 6: AOC center right, and then the Free Press conservative. 91 00:04:44,480 --> 00:04:46,200 Speaker 2: And she makes a couple of jokes. 92 00:04:45,960 --> 00:04:49,200 Speaker 6: How accurately can the Washington Post reporters describe news and 93 00:04:49,240 --> 00:04:52,640 Speaker 6: events in America. If this is the political spectrum they see, 94 00:04:52,839 --> 00:04:55,000 Speaker 6: who are they serving with this exactly? 95 00:04:56,279 --> 00:04:57,000 Speaker 3: It's a good point. 96 00:04:57,120 --> 00:05:00,600 Speaker 6: And then she points out to these slack conversations or 97 00:05:00,640 --> 00:05:04,200 Speaker 6: whatever it is between Washington Post staffers and I'm going 98 00:05:04,279 --> 00:05:07,600 Speaker 6: to quote some of them. 99 00:05:07,080 --> 00:05:08,280 Speaker 2: Per former colleagues. 100 00:05:08,320 --> 00:05:10,599 Speaker 6: In a zoom meeting today, Post foreign staff was told 101 00:05:10,600 --> 00:05:13,680 Speaker 6: by editors that up to half the newsroom will be cut. 102 00:05:14,080 --> 00:05:17,359 Speaker 6: Someone responded, sickening Bezos could fund the Post out of 103 00:05:17,400 --> 00:05:20,839 Speaker 6: his own pocket into Infinity, why won't he and this 104 00:05:21,520 --> 00:05:25,600 Speaker 6: editor far he Paul Farrhe agreed, great question. We've all 105 00:05:25,640 --> 00:05:28,919 Speaker 6: asked ourselves that many times. So they don't even desire 106 00:05:29,000 --> 00:05:31,320 Speaker 6: to be in a sustainable business. They find it offensive. 107 00:05:31,520 --> 00:05:35,960 Speaker 6: They want Infinity subsidies. Truly odd, bless their hearts. 108 00:05:36,839 --> 00:05:39,400 Speaker 1: Well, a lot of my favorite publications, though on your 109 00:05:39,680 --> 00:05:44,240 Speaker 1: favorite publications, I don't know that people are aware of this. 110 00:05:44,720 --> 00:05:48,479 Speaker 2: A lot of your political they're now websites, but they 111 00:05:48,560 --> 00:05:49,960 Speaker 2: used to be magazines. They didn't. 112 00:05:49,960 --> 00:05:55,279 Speaker 1: They've never they've always relied on donations and practically charity 113 00:05:55,360 --> 00:05:56,680 Speaker 1: to stay alive because. 114 00:05:56,440 --> 00:05:57,520 Speaker 3: They've been station support. 115 00:05:57,600 --> 00:06:00,320 Speaker 1: Yeah, and they've always been so niche, So I guess 116 00:06:00,320 --> 00:06:02,719 Speaker 1: that's what they see as the Washington Post being to 117 00:06:02,760 --> 00:06:05,039 Speaker 1: a certain extent, there just might not be a model. 118 00:06:05,240 --> 00:06:07,359 Speaker 1: New York Times has kind of cracked the code with 119 00:06:07,400 --> 00:06:09,520 Speaker 1: a whole bunch of other stuff that they've added in 120 00:06:10,400 --> 00:06:14,240 Speaker 1: to keep eyeballs around, but like nobody else has, and 121 00:06:14,279 --> 00:06:17,640 Speaker 1: there just might not be a model for being able 122 00:06:17,680 --> 00:06:22,760 Speaker 1: to hire reporters that do the very expensive job of, 123 00:06:23,000 --> 00:06:25,480 Speaker 1: you know, going to a town, staying in a hotel, 124 00:06:26,480 --> 00:06:30,039 Speaker 1: digging up information, writing a story about it over weeks. 125 00:06:29,880 --> 00:06:33,360 Speaker 2: It just might not work money wise, right. 126 00:06:33,440 --> 00:06:37,120 Speaker 1: You need a lower common denominator than would go to say, 127 00:06:37,160 --> 00:06:39,960 Speaker 1: the National Review or the Dispatch or whatever, or the 128 00:06:40,000 --> 00:06:44,640 Speaker 1: Free Press, although they're doing pretty well, yeah, which means 129 00:06:44,800 --> 00:06:48,000 Speaker 1: crap because the lowest common dynamic and denominator wants crap. 130 00:06:48,080 --> 00:06:51,360 Speaker 1: They don't want carefully researched articles on how AI might 131 00:06:51,400 --> 00:06:52,200 Speaker 1: disrupt the account. 132 00:06:52,200 --> 00:06:53,039 Speaker 2: Which there's a new book. 133 00:06:53,080 --> 00:06:55,719 Speaker 1: There's a new book out about Tucker Carlson that's getting 134 00:06:55,720 --> 00:06:58,440 Speaker 1: some attention about his career and how he ended up 135 00:06:58,440 --> 00:07:00,359 Speaker 1: where he is and part of how we ended up 136 00:07:00,360 --> 00:07:02,640 Speaker 1: where he is because he's a super super smart guy, 137 00:07:03,400 --> 00:07:06,720 Speaker 1: is he just realized all the money is in salacious 138 00:07:06,760 --> 00:07:11,239 Speaker 1: headlines and clicks. It's just you know, good solid journal 139 00:07:11,400 --> 00:07:16,400 Speaker 1: Nobody clicks on the good solid journalism that you took 140 00:07:16,480 --> 00:07:20,360 Speaker 1: weeks to put together. The article that somebody threw together 141 00:07:21,640 --> 00:07:26,320 Speaker 1: from their laptop in their car with one quote from 142 00:07:26,360 --> 00:07:30,960 Speaker 1: somebody online, it's going to get ten times as many clicks. 143 00:07:31,160 --> 00:07:32,160 Speaker 2: And it's just a fact. 144 00:07:32,720 --> 00:07:35,240 Speaker 6: Yeah, the echo chamber, the commentariat, we'll talk about these 145 00:07:35,320 --> 00:07:38,040 Speaker 6: articles a lot, but the sheer number of clicks and 146 00:07:38,080 --> 00:07:40,520 Speaker 6: advertising dollars attached to them are not much at. 147 00:07:40,400 --> 00:07:44,640 Speaker 1: All, but to the earning their demise. I mentioned this yesterday, 148 00:07:44,640 --> 00:07:46,240 Speaker 1: but I'll mention it again because it's just too good. 149 00:07:48,120 --> 00:07:53,520 Speaker 1: The media critic for The Washington Post wrote on Monday 150 00:07:54,120 --> 00:07:58,680 Speaker 1: after the Grammys, Oh right, Politics are often treated like 151 00:07:58,840 --> 00:08:04,400 Speaker 1: radioactive material on Grammy's Night. This is pop music critic 152 00:08:04,440 --> 00:08:06,880 Speaker 1: Chris Richards, writing in The Washington Post, guy makes a 153 00:08:06,920 --> 00:08:08,720 Speaker 1: living writing this sort of stuff for one of your 154 00:08:08,720 --> 00:08:11,480 Speaker 1: major publications. He might have gotten fired an hour ago. 155 00:08:11,920 --> 00:08:15,760 Speaker 1: Probably did. Politics are often treated like radioactive material on 156 00:08:15,800 --> 00:08:19,360 Speaker 1: Grammy Night. But on Sunday something changed. The world outside 157 00:08:19,360 --> 00:08:23,040 Speaker 1: had finally become too loud to ignore. That's a Washington 158 00:08:23,080 --> 00:08:26,440 Speaker 1: Post claiming that they keep politics out of awards shows, 159 00:08:26,720 --> 00:08:29,040 Speaker 1: except for in this case, where it was just too 160 00:08:29,040 --> 00:08:31,720 Speaker 1: big to ignore what's going on in Minneapolis. 161 00:08:31,480 --> 00:08:35,200 Speaker 6: So they broke the long standing tradition and actually mentioned 162 00:08:35,200 --> 00:08:37,360 Speaker 6: politics at an award show. 163 00:08:37,720 --> 00:08:38,560 Speaker 2: On stolen land. 164 00:08:38,960 --> 00:08:43,920 Speaker 1: Who's reading that and not laughing out loud? I mean, seriously, 165 00:08:44,440 --> 00:08:48,160 Speaker 1: right back to Nelly Bowles question, somebody that twisted in 166 00:08:48,200 --> 00:08:49,319 Speaker 1: their view of reality. 167 00:08:49,640 --> 00:08:52,240 Speaker 2: Who are they serving? I don't know how are they 168 00:08:52,280 --> 00:08:55,000 Speaker 2: serving them? It's funny. 169 00:08:55,280 --> 00:09:00,480 Speaker 1: So just quickly, why do you think Jeff Bezos doesn't 170 00:09:00,600 --> 00:09:03,320 Speaker 1: just go ahead and fund the Washington Post doing what 171 00:09:03,320 --> 00:09:03,760 Speaker 1: it's doing. 172 00:09:04,280 --> 00:09:07,040 Speaker 6: I think he was curious to see whether he could 173 00:09:07,600 --> 00:09:09,280 Speaker 6: crack the code, as you said, like the New York 174 00:09:09,280 --> 00:09:13,000 Speaker 6: Times had, and still supply quality journalism in the nation's capital. 175 00:09:14,000 --> 00:09:17,240 Speaker 6: He probably believed, yes, we can do that, and we 176 00:09:17,280 --> 00:09:22,040 Speaker 6: can be self sustaining or at least not need much subsidizing. 177 00:09:23,679 --> 00:09:24,440 Speaker 3: It's difficult. 178 00:09:24,440 --> 00:09:27,680 Speaker 6: I just had a conversation about this with a loved one. 179 00:09:29,120 --> 00:09:33,200 Speaker 6: Changing the culture of an organization is a slow and 180 00:09:33,480 --> 00:09:38,200 Speaker 6: painful pursuit, whether it's a football team or a musical 181 00:09:38,320 --> 00:09:41,360 Speaker 6: organization or a big newspaper. 182 00:09:41,760 --> 00:09:43,000 Speaker 2: I mean, heads have got a role. 183 00:09:43,559 --> 00:09:47,680 Speaker 1: There will be tears and weeping in cardboard boxes, and 184 00:09:47,800 --> 00:09:51,120 Speaker 1: accusations and counter accusations, and it might not work. 185 00:09:51,440 --> 00:09:53,200 Speaker 3: Ask anybody who's ever tried to. 186 00:09:53,240 --> 00:09:56,640 Speaker 6: I can actually name a couple of really, really good 187 00:09:56,720 --> 00:10:01,160 Speaker 6: NFL coaches who've gone to crappy franchises and failed to 188 00:10:01,240 --> 00:10:04,720 Speaker 6: be able to turn the culture around. Hard to do, anyway, 189 00:10:05,400 --> 00:10:07,679 Speaker 6: I'm still saying, And you're not obligated to just because 190 00:10:07,679 --> 00:10:12,120 Speaker 6: you got the money prop up a failing business model 191 00:10:12,200 --> 00:10:16,000 Speaker 6: with your own cash, right. I think everybody starts any 192 00:10:16,000 --> 00:10:17,839 Speaker 6: business thinks, all right, we'll give it this amount of time, 193 00:10:17,880 --> 00:10:19,520 Speaker 6: this amount of money, and if it's not working, we're not. 194 00:10:19,440 --> 00:10:21,120 Speaker 3: Going to throw good money after bad. It's just not 195 00:10:21,160 --> 00:10:22,480 Speaker 3: a good idea. Anyway. 196 00:10:22,480 --> 00:10:24,199 Speaker 6: I'll work from our friends at rough Greens. This is 197 00:10:24,240 --> 00:10:27,839 Speaker 6: a good idea for your dog. Add rough Greens to 198 00:10:27,880 --> 00:10:31,439 Speaker 6: your dog's food. Don't change your food their food. Add 199 00:10:31,600 --> 00:10:32,360 Speaker 6: rough Greens. 200 00:10:32,400 --> 00:10:36,120 Speaker 1: That has all sorts of great and nutritional benefits, especially 201 00:10:36,120 --> 00:10:39,640 Speaker 1: as your dog's age. Yeah, this is an interesting idea, 202 00:10:39,640 --> 00:10:41,560 Speaker 1: and I think the first thing that gets your attention 203 00:10:41,640 --> 00:10:43,640 Speaker 1: if you got a pet is a new dog food. 204 00:10:43,640 --> 00:10:45,079 Speaker 1: I'm not going to do that, and that's why It's 205 00:10:45,080 --> 00:10:47,920 Speaker 1: important that you know that rough Greens is something you 206 00:10:47,960 --> 00:10:50,320 Speaker 1: put on top of your dog food that you keep 207 00:10:50,360 --> 00:10:52,480 Speaker 1: the same dog food, but this is your dead dog 208 00:10:52,520 --> 00:10:55,640 Speaker 1: food now has a live nutritional supplement added to it 209 00:10:55,720 --> 00:10:57,520 Speaker 1: in rough Greens, and you should try it. 210 00:10:57,520 --> 00:10:58,080 Speaker 2: It's free. 211 00:10:58,120 --> 00:11:01,840 Speaker 1: Basically, rough Greens is offering a free Jumpstart trial bag. 212 00:11:02,120 --> 00:11:03,080 Speaker 2: You just cover the shipping. 213 00:11:03,200 --> 00:11:06,360 Speaker 1: Use the discount code Armstrong to claim your free Jumpstart 214 00:11:06,360 --> 00:11:09,880 Speaker 1: Trial bag at roughgreens dot com spelled with two f's 215 00:11:09,960 --> 00:11:12,360 Speaker 1: rough ff roughgreens dot com. 216 00:11:12,559 --> 00:11:15,959 Speaker 6: Rough Greens supplements the diet with natural antioxidants and anti 217 00:11:15,960 --> 00:11:19,280 Speaker 6: inflammatory compounds that help reduce oxidative stress, support imute defense, 218 00:11:19,320 --> 00:11:21,760 Speaker 6: slow age related decline, help your dog stay actimobile and 219 00:11:21,800 --> 00:11:24,920 Speaker 6: alert as they age. Go to roughgreens dot com use 220 00:11:24,960 --> 00:11:27,079 Speaker 6: that promo code Armstrong. Don't change your dog's food, just 221 00:11:27,120 --> 00:11:29,240 Speaker 6: ad rough Greens watch the health benefits come alive. 222 00:11:29,320 --> 00:11:29,480 Speaker 3: Well. 223 00:11:29,800 --> 00:11:32,880 Speaker 1: One final comment on the media stuff, And I wonder 224 00:11:32,880 --> 00:11:38,040 Speaker 1: about this myself, since we do this job, is I 225 00:11:38,080 --> 00:11:42,280 Speaker 1: feel like a dinosaur anytime I really even mention like 226 00:11:42,400 --> 00:11:45,400 Speaker 1: the Washington Post or I saw unfaced the nation, because 227 00:11:45,440 --> 00:11:49,320 Speaker 1: that's not where people are getting their information anymore. But 228 00:11:49,720 --> 00:11:54,480 Speaker 1: if I for instance, quit taking that stuff in Where 229 00:11:54,520 --> 00:11:56,800 Speaker 1: am I getting it? And how many of y'all would? 230 00:11:57,320 --> 00:12:01,680 Speaker 1: I mean, what's our shared knowledge of the world out 231 00:12:01,720 --> 00:12:02,400 Speaker 1: there anymore? 232 00:12:03,040 --> 00:12:07,400 Speaker 2: I don't even know. 233 00:12:05,240 --> 00:12:07,960 Speaker 1: If you could have a dinner party now, especially the 234 00:12:08,040 --> 00:12:09,920 Speaker 1: younger you get. You could have a dinner party with 235 00:12:09,960 --> 00:12:12,560 Speaker 1: a bunch of forty year olds and they're sitting at 236 00:12:12,600 --> 00:12:13,200 Speaker 1: the table. 237 00:12:13,440 --> 00:12:16,400 Speaker 2: You got like six couples, twelve people. They're all sitting 238 00:12:16,400 --> 00:12:17,360 Speaker 2: at the table with. 239 00:12:17,600 --> 00:12:22,600 Speaker 1: Completely different information about hot top stories. In fact, they 240 00:12:22,640 --> 00:12:25,160 Speaker 1: would have completely different ideas if you had them all 241 00:12:25,200 --> 00:12:27,679 Speaker 1: lists what's the top three stories in America right now? 242 00:12:27,880 --> 00:12:30,800 Speaker 1: It might be all different and they'd all have completely 243 00:12:30,840 --> 00:12:32,960 Speaker 1: different takes on it because of their news source. 244 00:12:33,559 --> 00:12:35,840 Speaker 6: But I would argue that face the Nation in the 245 00:12:35,920 --> 00:12:38,040 Speaker 6: Washington Post do that. 246 00:12:38,040 --> 00:12:41,440 Speaker 3: That's what they do. They're not the antidote to it. 247 00:12:43,040 --> 00:12:45,360 Speaker 1: Well, I'm not claiming they are. I just don't know 248 00:12:45,400 --> 00:12:48,480 Speaker 1: what's what to do next. If you got you know, 249 00:12:48,559 --> 00:12:51,560 Speaker 1: the the well our audience is all these different couples. 250 00:12:51,600 --> 00:12:54,000 Speaker 1: Everybody's got a different idea of what the important stories 251 00:12:54,000 --> 00:12:58,480 Speaker 1: are because of whatever Twitter follower you're into or you know, 252 00:12:58,559 --> 00:13:01,440 Speaker 1: website you go to, and in all kinds of different 253 00:13:01,520 --> 00:13:05,400 Speaker 1: facts that aren't shared by the rest of the people. Right, 254 00:13:06,240 --> 00:13:09,920 Speaker 1: But as you were contrasting that with those outlets you mentioned, 255 00:13:09,960 --> 00:13:13,560 Speaker 1: and I would argue they're just another example of exactly 256 00:13:13,600 --> 00:13:16,400 Speaker 1: what you're talking about. A lot of great stories, important 257 00:13:16,440 --> 00:13:20,360 Speaker 1: stories to get to, including some gender bending sanity, the 258 00:13:20,600 --> 00:13:24,720 Speaker 1: fight against the cruel experimentation on kids gaining ground. 259 00:13:25,240 --> 00:13:26,080 Speaker 3: Good news on that. 260 00:13:26,160 --> 00:13:30,080 Speaker 6: Plus AI has finally really rattled the stock market, not 261 00:13:30,160 --> 00:13:32,960 Speaker 6: just driven it upwards, but made people sell, sell, sell, 262 00:13:33,160 --> 00:13:34,080 Speaker 6: talk about that as well. 263 00:13:34,120 --> 00:13:39,520 Speaker 1: That's a heck of an interesting story. All right, stay here. 264 00:13:40,200 --> 00:13:43,200 Speaker 7: Our first lady, Milania Chump's documentary Milania made more than 265 00:13:43,240 --> 00:13:46,000 Speaker 7: seven million dollars this weekend at the box office, mostly 266 00:13:46,040 --> 00:13:52,880 Speaker 7: from disappointed little girls who thought they were seeing Molana. 267 00:13:54,280 --> 00:13:56,520 Speaker 1: We ah, we have breaking news at the moment we're 268 00:13:56,520 --> 00:13:57,960 Speaker 1: on the air. I don't know when you're actually going 269 00:13:58,000 --> 00:14:00,120 Speaker 1: to hear this. The Trump has signed a bil The 270 00:14:00,160 --> 00:14:01,520 Speaker 1: government shutdown is over. 271 00:14:03,240 --> 00:14:06,520 Speaker 2: Thank god, beautiful. That was a rough one. 272 00:14:06,760 --> 00:14:07,000 Speaker 3: Yeah. 273 00:14:07,080 --> 00:14:08,880 Speaker 6: I do this for a living and I saw it 274 00:14:08,960 --> 00:14:11,080 Speaker 6: the other day. There's a partial government shutdown. 275 00:14:11,080 --> 00:14:12,800 Speaker 3: I'm like, there is. I don't care. 276 00:14:12,880 --> 00:14:16,000 Speaker 2: Well, it's over now, Oh thank god? Yeah again, so. 277 00:14:16,080 --> 00:14:19,120 Speaker 6: Ideological captures so smart by the neo Marxists. What they 278 00:14:19,120 --> 00:14:23,040 Speaker 6: did was they called organization's racist until they controlled. 279 00:14:22,640 --> 00:14:23,480 Speaker 3: The boards or whatever. 280 00:14:23,480 --> 00:14:27,360 Speaker 1: They blackmailed and terrified people, including the major medical associations, 281 00:14:27,400 --> 00:14:31,280 Speaker 1: which is really a shame. One of the major pediatrics 282 00:14:32,160 --> 00:14:37,440 Speaker 1: organizations is completely woke, the AMA, the American OH, the 283 00:14:37,480 --> 00:14:41,920 Speaker 1: American Academy of Pediatrics is just completely woke, controlled by 284 00:14:42,000 --> 00:14:42,720 Speaker 1: far lefties. 285 00:14:43,320 --> 00:14:46,240 Speaker 3: But luckily not everyone is. 286 00:14:46,800 --> 00:14:51,160 Speaker 6: And in major gender bending sanity news, the American Society 287 00:14:51,160 --> 00:14:56,440 Speaker 6: of Plastic Surgeons released new guidance this week cautioning physicians 288 00:14:56,440 --> 00:15:00,360 Speaker 6: against performing gender transition surgeries on miners. It is a 289 00:15:00,440 --> 00:15:05,040 Speaker 6: significant breakthrough because many of us have long called on 290 00:15:05,120 --> 00:15:08,480 Speaker 6: major medical associations to tell the truth about these experimental 291 00:15:08,520 --> 00:15:14,359 Speaker 6: treatments on momentarily confused adolescents. The new ASPS guidance acknowledges 292 00:15:14,400 --> 00:15:17,640 Speaker 6: that there is insufficient evidence to prove that irreversible gender 293 00:15:17,680 --> 00:15:21,280 Speaker 6: related surgical interventions have long term benefits for adolescents, and 294 00:15:21,320 --> 00:15:25,480 Speaker 6: therefore recommends that surgeons delay gender related breast, genital, and 295 00:15:25,520 --> 00:15:29,560 Speaker 6: facial surgery until a patient is at least nineteen years old. 296 00:15:30,160 --> 00:15:33,600 Speaker 6: And they say the association has substantial uncertainty about any 297 00:15:33,680 --> 00:15:38,760 Speaker 6: positive benefits of puberty blockers and cross sextional modes as well. 298 00:15:38,000 --> 00:15:39,840 Speaker 2: Facial reconstruction surgery. 299 00:15:40,360 --> 00:15:40,600 Speaker 3: Yes. 300 00:15:40,960 --> 00:15:46,160 Speaker 1: Wow, So somebody who's a child getting their bones reshaped 301 00:15:46,160 --> 00:15:50,080 Speaker 1: on their face to look more manly or more feminine. 302 00:15:49,840 --> 00:15:53,280 Speaker 6: Because an activist that convinced them that's why they're unhappy. 303 00:15:53,320 --> 00:15:56,280 Speaker 6: It's not their underlying psychological problems or autism or whatever, 304 00:15:56,480 --> 00:15:59,280 Speaker 6: then blackmailed the parents by saying your child will probably. 305 00:15:59,000 --> 00:16:01,480 Speaker 1: Commit suicide if you don't don't do this. Yeah, that's right. 306 00:16:02,560 --> 00:16:04,920 Speaker 1: One more quote from this, at least one more. Surgeons 307 00:16:04,920 --> 00:16:08,920 Speaker 1: should maintain responsibility for quote determining whether a minor is 308 00:16:09,000 --> 00:16:13,320 Speaker 1: developmentally able to understand the nature, irreversibility and long term 309 00:16:13,320 --> 00:16:17,360 Speaker 1: implications of the proposed surgical intervention. That's a I don't 310 00:16:17,360 --> 00:16:18,920 Speaker 1: know what you call that, a catch twenty two or 311 00:16:18,920 --> 00:16:22,560 Speaker 1: something like that. A miner can't determine, that's what That's 312 00:16:22,600 --> 00:16:25,280 Speaker 1: what being a minor is. You don't have the life 313 00:16:25,320 --> 00:16:28,080 Speaker 1: experience and judgment to make big decisions. That's why you're 314 00:16:28,120 --> 00:16:30,440 Speaker 1: not held accountable for crimes the same way or all 315 00:16:30,520 --> 00:16:33,040 Speaker 1: kinds of different things, No kidding. 316 00:16:33,600 --> 00:16:37,200 Speaker 6: Doctors should assess whether the adolescent patient can meaningfully engage 317 00:16:37,240 --> 00:16:41,240 Speaker 6: with information about uncertainty, alternative approaches, and the possibility that 318 00:16:41,240 --> 00:16:45,480 Speaker 6: distress or perceived identity may evolve over time. And they 319 00:16:45,520 --> 00:16:48,400 Speaker 6: go on and on with everything that's clear to anybody 320 00:16:48,440 --> 00:16:55,120 Speaker 6: who's sane. Good for them, way to go the American 321 00:16:55,200 --> 00:16:56,600 Speaker 6: Society of Plastic Surgeons. 322 00:16:57,280 --> 00:16:59,480 Speaker 1: Well, since if you didn't hear this, I may get 323 00:16:59,480 --> 00:17:02,960 Speaker 1: bigger boo just to thank them. The first successful lawsuit 324 00:17:03,000 --> 00:17:05,560 Speaker 1: has happened against psychologists and a doctor two million dollars. 325 00:17:05,600 --> 00:17:07,320 Speaker 1: And there's going to be I think a flood of these, 326 00:17:11,880 --> 00:17:16,960 Speaker 1: some of them possibly being you know, unscrupulous cash grabs. 327 00:17:16,960 --> 00:17:18,439 Speaker 1: If you figure out, hey, I could go sue the 328 00:17:18,440 --> 00:17:20,240 Speaker 1: doctor who did this to me, maybe get some money, 329 00:17:20,560 --> 00:17:23,000 Speaker 1: but there'll be a lot of you know, legit ones. 330 00:17:23,040 --> 00:17:27,399 Speaker 1: And if I'm a psychologist who recommended somebody to a 331 00:17:27,440 --> 00:17:29,960 Speaker 1: doctor for surgery over this, I'd be pretty worried. 332 00:17:30,520 --> 00:17:33,720 Speaker 6: Yeah, it's interesting that you went to cash grabs when 333 00:17:33,920 --> 00:17:37,040 Speaker 6: we're talking about people who have been permanently altered by 334 00:17:37,119 --> 00:17:38,200 Speaker 6: experimental treatments. 335 00:17:38,520 --> 00:17:40,080 Speaker 2: I wanted to get out of hand though I want that. 336 00:17:40,160 --> 00:17:41,960 Speaker 1: I wanted to get I wanted to be so overwhelming 337 00:17:42,000 --> 00:17:44,680 Speaker 1: and happen so often that people are scared to death 338 00:17:44,720 --> 00:17:48,160 Speaker 1: to even think about recommending a young person get surgery. 339 00:17:48,440 --> 00:17:50,879 Speaker 6: Meanwhile, in the last two years, the number of adolescents 340 00:17:50,920 --> 00:17:54,199 Speaker 6: identifying his transgender has been cut in half because it 341 00:17:54,280 --> 00:17:56,879 Speaker 6: was a social craze always was, And the idea that 342 00:17:56,960 --> 00:18:00,240 Speaker 6: kids were mutilated because they were like super into K 343 00:18:00,480 --> 00:18:05,040 Speaker 6: pop or whatever is just it's obscene because it's the 344 00:18:05,080 --> 00:18:08,600 Speaker 6: same sort of social contagion. Anyway, AI shaking up the 345 00:18:08,600 --> 00:18:14,600 Speaker 6: stock market if you're involved in software and software services, and. 346 00:18:14,600 --> 00:18:16,280 Speaker 2: The Clintons are going to testify, I want to talk 347 00:18:16,320 --> 00:18:18,040 Speaker 2: about that Armstrong and Getty. 348 00:18:19,720 --> 00:18:22,520 Speaker 8: After months of back and forth, former President Bill Clinton 349 00:18:22,560 --> 00:18:25,639 Speaker 8: and former Secretary of State Hillary Clinton will testify on 350 00:18:25,760 --> 00:18:28,720 Speaker 8: camera later this month in a House investigation in the 351 00:18:28,800 --> 00:18:31,760 Speaker 8: late sex offender Jeffrey Epstein. They had little choice in 352 00:18:31,800 --> 00:18:35,200 Speaker 8: the matter, facing contempt of Congress charges had they refused. 353 00:18:36,359 --> 00:18:36,520 Speaker 2: So. 354 00:18:39,119 --> 00:18:42,280 Speaker 1: Contempt of Congress charges would have include a fine and 355 00:18:42,359 --> 00:18:47,760 Speaker 1: perhaps jail time. My formative experience in the whole contempt 356 00:18:47,800 --> 00:18:51,000 Speaker 1: of Congress world was the Eric Holder mess r. She 357 00:18:51,119 --> 00:18:53,399 Speaker 1: was just openly in contempt and wouldn't show up and 358 00:18:53,440 --> 00:18:58,040 Speaker 1: getting both barrels and yeah, nothing ever happened, right, Yo, 359 00:18:58,040 --> 00:19:01,240 Speaker 1: Obama Justice Department decided, I don't think we have enough 360 00:19:01,320 --> 00:19:04,520 Speaker 1: charges against the guy running this place, or you know, 361 00:19:05,320 --> 00:19:08,000 Speaker 1: just went nore. But so the Clintons must have thought 362 00:19:08,119 --> 00:19:10,159 Speaker 1: that the hammer is going to come down anyway. So 363 00:19:10,680 --> 00:19:13,360 Speaker 1: Bill and Hillary are going to be questioned about the 364 00:19:13,400 --> 00:19:17,320 Speaker 1: Epstein files in one of those congressional hearings where people 365 00:19:17,520 --> 00:19:19,480 Speaker 1: shoot off their mouths with all kinds of nutty stuff. 366 00:19:19,520 --> 00:19:20,560 Speaker 2: Is that what's going to happen? 367 00:19:20,560 --> 00:19:20,679 Speaker 5: Then? 368 00:19:20,760 --> 00:19:23,600 Speaker 6: Yes, yes, yes, I think it's just going to be 369 00:19:23,640 --> 00:19:24,480 Speaker 6: a deposition. 370 00:19:24,720 --> 00:19:28,840 Speaker 1: It's recorded, not a congressional here. Will it be released 371 00:19:28,840 --> 00:19:32,040 Speaker 1: to the public, will we all? Yes, that was one 372 00:19:32,040 --> 00:19:34,280 Speaker 1: of the Clinton's demands. Yeah, that the I think that 373 00:19:34,320 --> 00:19:37,560 Speaker 1: the transcript will be released in fun. So is this 374 00:19:37,640 --> 00:19:41,040 Speaker 1: a situation where Bill and Hillary think, look, we're very 375 00:19:41,080 --> 00:19:45,720 Speaker 1: smart lawyers, and we're going to tear this thing apart 376 00:19:46,280 --> 00:19:47,840 Speaker 1: these morons questioning us, Is that. 377 00:19:47,800 --> 00:19:48,440 Speaker 2: What they're thinking? 378 00:19:49,400 --> 00:19:53,719 Speaker 6: Uh? And or we'll just stonewall A good attorney knows 379 00:19:53,760 --> 00:19:54,879 Speaker 6: how to stonewall somebody. 380 00:19:56,400 --> 00:19:58,679 Speaker 2: Yeah, but it's not just so it's not just a 381 00:19:58,760 --> 00:20:01,240 Speaker 2: legal case. It's politics. 382 00:20:02,520 --> 00:20:04,640 Speaker 1: Well, yeah, you don't want a stonewall in a way 383 00:20:04,640 --> 00:20:08,120 Speaker 1: that lets everybody think you're guilty Bill? 384 00:20:08,240 --> 00:20:10,400 Speaker 3: Did Bill and Hill kill? Do they care? 385 00:20:11,200 --> 00:20:14,120 Speaker 1: I would think so. For your legacy, I would think so. Yeah, 386 00:20:14,119 --> 00:20:18,520 Speaker 1: But what in your mind are they covering? Who covering 387 00:20:19,359 --> 00:20:22,159 Speaker 1: Bill and Hillary? What are they covering up for or 388 00:20:22,240 --> 00:20:25,480 Speaker 1: stonewalling about? Well, people stonewalling crap all the time that 389 00:20:25,520 --> 00:20:27,760 Speaker 1: I think it's a bad idea politically, might be a 390 00:20:27,760 --> 00:20:30,480 Speaker 1: good idea legally. Lawyers tell you'd always say nothing, and 391 00:20:30,520 --> 00:20:36,760 Speaker 1: I think oftentimes it really hurts people's reputations because they 392 00:20:36,760 --> 00:20:39,520 Speaker 1: don't get to say anything about something they're completely innocent of, 393 00:20:40,200 --> 00:20:42,640 Speaker 1: And I think they'd be better off, like really refuting 394 00:20:42,680 --> 00:20:44,600 Speaker 1: this stuff. I don't know who's going to be doing 395 00:20:44,680 --> 00:20:47,960 Speaker 1: the questioning, but I don't think they've got anything to hide. 396 00:20:48,960 --> 00:20:50,560 Speaker 3: Well, that's exactly what I'm saying. 397 00:20:50,640 --> 00:20:54,359 Speaker 6: I suspect very strongly this will be a non event 398 00:20:54,760 --> 00:20:57,600 Speaker 6: that leaves people saying, Yeah, probably could have gone about 399 00:20:57,600 --> 00:21:00,600 Speaker 6: this a different way, dragging an expressent in and all. 400 00:21:00,680 --> 00:21:02,360 Speaker 6: And I'm no great defender of Bill. 401 00:21:02,560 --> 00:21:03,560 Speaker 2: No, absolutely not. 402 00:21:03,720 --> 00:21:06,600 Speaker 1: Do I think he was friends with Epstein because they 403 00:21:06,880 --> 00:21:11,040 Speaker 1: probably hot chicks were at parties, Yes, underage chicks knowingly. 404 00:21:11,680 --> 00:21:12,520 Speaker 2: I doubt it. 405 00:21:14,359 --> 00:21:16,639 Speaker 3: I don't think so. Bill's a horn dog but smart. 406 00:21:17,560 --> 00:21:19,919 Speaker 1: Well, it's just I don't know. You can be all 407 00:21:20,080 --> 00:21:25,800 Speaker 1: kinds of horny and wild and slutty and and think 408 00:21:26,240 --> 00:21:28,400 Speaker 1: underage is completely out of bounds. 409 00:21:28,880 --> 00:21:31,399 Speaker 2: No, you'd yell holy yes, and you'd run out of 410 00:21:31,400 --> 00:21:31,720 Speaker 2: the play. 411 00:21:31,880 --> 00:21:35,480 Speaker 1: And not just because it's illegal, it's because it's gross. 412 00:21:36,000 --> 00:21:39,520 Speaker 3: Yeah, yeah, exactly. So Yeah, I just don't think it's much. 413 00:21:39,800 --> 00:21:42,400 Speaker 6: I was a little slow to come around, but now 414 00:21:42,440 --> 00:21:45,480 Speaker 6: I agree with you completely. James Comer is a Republican 415 00:21:45,520 --> 00:21:50,080 Speaker 6: Adam Schiff. He is a grand standing liar, half truth teller, 416 00:21:50,720 --> 00:21:54,439 Speaker 6: clickbait guy congressman. And it's a shame because the Oversight 417 00:21:54,440 --> 00:21:57,800 Speaker 6: Committee has some really important jobs and if a super 418 00:21:57,840 --> 00:22:00,800 Speaker 6: smart straight shooters running the committee, I think they could 419 00:22:00,840 --> 00:22:04,680 Speaker 6: do some real good. I think he's a PT Barnum type. 420 00:22:06,040 --> 00:22:08,800 Speaker 6: Speaking of the issues that divide us in America? Did 421 00:22:08,800 --> 00:22:13,600 Speaker 6: you hear about this? They're holding a hearing in the 422 00:22:13,640 --> 00:22:17,440 Speaker 6: Minneapolis area about why the administration wasn't complying with court 423 00:22:17,560 --> 00:22:19,680 Speaker 6: orders to release detained migrants. 424 00:22:20,080 --> 00:22:21,520 Speaker 3: When did we start saying migrants? 425 00:22:22,560 --> 00:22:26,560 Speaker 6: And anyway, So the Justice Department lawyer, the judge says, 426 00:22:26,560 --> 00:22:28,760 Speaker 6: why aren't you releasing these people? 427 00:22:28,800 --> 00:22:29,320 Speaker 3: What's going on? 428 00:22:29,640 --> 00:22:33,320 Speaker 6: She said, because the system sucks and this job sucks, 429 00:22:33,720 --> 00:22:36,560 Speaker 6: and if you would please hold me in contempt, then 430 00:22:36,600 --> 00:22:38,679 Speaker 6: at least I could get twenty four hours of sleep, 431 00:22:40,320 --> 00:22:42,680 Speaker 6: which is really quite the thing to say in court. 432 00:22:44,400 --> 00:22:47,000 Speaker 6: She'd been in the office only a matter of weeks, 433 00:22:47,080 --> 00:22:50,439 Speaker 6: was still having trouble accessing her Justice Department email to 434 00:22:50,560 --> 00:22:53,240 Speaker 6: coordinate the response to court orders. 435 00:22:53,800 --> 00:22:58,760 Speaker 1: And the poor woman is just stressed to death and 436 00:22:58,920 --> 00:23:02,919 Speaker 1: is buried in paper for work. The system sucks, that 437 00:23:02,960 --> 00:23:04,240 Speaker 1: this job sucks. 438 00:23:05,800 --> 00:23:10,760 Speaker 2: Wow, I said that. Wow. Yeah, as promised. 439 00:23:10,800 --> 00:23:14,360 Speaker 1: So this is interesting. I have no idea what I'm 440 00:23:14,359 --> 00:23:17,359 Speaker 1: talking about. But I my, my, my, Wait a second, 441 00:23:17,359 --> 00:23:19,000 Speaker 1: that's it's it says that on the back of your 442 00:23:19,000 --> 00:23:20,080 Speaker 1: talk show host cards. 443 00:23:20,000 --> 00:23:21,840 Speaker 3: On this topic, on this topic. 444 00:23:21,880 --> 00:23:23,919 Speaker 2: That says it on my card. Okay, but I have 445 00:23:23,960 --> 00:23:24,920 Speaker 2: no idea what I'm talking about. 446 00:23:24,920 --> 00:23:25,800 Speaker 3: The many times that's what I. 447 00:23:25,800 --> 00:23:27,600 Speaker 2: Do for a living. I come in and spout off 448 00:23:27,600 --> 00:23:28,560 Speaker 2: on things I don't know about. 449 00:23:29,160 --> 00:23:34,359 Speaker 6: Where is AI going. Some people are saying a non event. 450 00:23:34,640 --> 00:23:39,400 Speaker 6: They're wrong, dead wrong. Some people are saying robot wolves 451 00:23:39,440 --> 00:23:43,640 Speaker 6: will purring across the landscape and eat us and by 452 00:23:43,720 --> 00:23:48,520 Speaker 6: march organs, by March, yes, exactly. I think the reality 453 00:23:48,560 --> 00:23:50,800 Speaker 6: is going to be probably somewhere in the middle, but 454 00:23:50,840 --> 00:23:53,159 Speaker 6: the disruptions will be significant. 455 00:23:53,160 --> 00:23:53,600 Speaker 2: To wit. 456 00:23:54,880 --> 00:23:58,679 Speaker 1: Artificial intelligence tools are improving at a dizzying pace and 457 00:23:58,680 --> 00:24:05,720 Speaker 1: branching into new special areas and rapidly expanding artificial intelligence 458 00:24:05,760 --> 00:24:09,040 Speaker 1: capabilities helped to erase three hundred billion dollars in market 459 00:24:09,119 --> 00:24:10,640 Speaker 1: value on Tuesday. 460 00:24:11,840 --> 00:24:14,040 Speaker 3: Here's what's going on, rops. 461 00:24:14,880 --> 00:24:15,400 Speaker 2: Is that what you said? 462 00:24:15,880 --> 00:24:19,800 Speaker 3: Yeah, erase drop in value? Yeah, the race is close. 463 00:24:19,520 --> 00:24:24,160 Speaker 1: To a raise of so oh oh, yeah, they raised 464 00:24:24,200 --> 00:24:25,159 Speaker 1: the building to the ground. 465 00:24:25,200 --> 00:24:26,480 Speaker 3: I've always thought that was said. 466 00:24:26,520 --> 00:24:29,280 Speaker 6: We've got to have a different word than raise raz 467 00:24:29,720 --> 00:24:31,879 Speaker 6: But the stock market dropped a whole bunch over some 468 00:24:31,960 --> 00:24:33,919 Speaker 6: AI news is that certain. 469 00:24:33,680 --> 00:24:37,080 Speaker 3: Stocks did, certain stocks did. So here's what's happening the uh. 470 00:24:37,840 --> 00:24:44,399 Speaker 6: The new upgrades from Anthropic and open AI can perform 471 00:24:44,480 --> 00:24:47,320 Speaker 6: tasks in an array of job functions with minimal instructions 472 00:24:47,359 --> 00:24:49,960 Speaker 6: I'm quoting the journal now operating with relative autonomy on 473 00:24:50,000 --> 00:24:53,320 Speaker 6: a user's computer, and thropics new legal tool can review 474 00:24:53,359 --> 00:24:57,320 Speaker 6: contracts perform other industry specific functions, and analysts have suggested 475 00:24:57,359 --> 00:25:02,960 Speaker 6: that other specialized business capabilities will surely follow. Finance, customer service, 476 00:25:03,080 --> 00:25:09,560 Speaker 6: other areas. Anyway, so there are a number of legal 477 00:25:09,640 --> 00:25:12,720 Speaker 6: Zoom Thompson Reuter's r ELX, which are all in the 478 00:25:12,760 --> 00:25:17,880 Speaker 6: legal space. Stocks plunged fifteen percent ish as people are 479 00:25:18,000 --> 00:25:24,800 Speaker 6: using these increasingly sophisticated agents. They call them with relatively 480 00:25:24,840 --> 00:25:27,199 Speaker 6: simple prompts. They can take over a user's computer and 481 00:25:27,280 --> 00:25:30,240 Speaker 6: use it to write software, make and launch smartphone apps, 482 00:25:30,400 --> 00:25:34,080 Speaker 6: analyze stock market fluctuations, take over a user's email account, 483 00:25:34,280 --> 00:25:35,680 Speaker 6: and countless other tasks. 484 00:25:36,160 --> 00:25:38,320 Speaker 3: So the disruptions have begun. 485 00:25:38,480 --> 00:25:41,680 Speaker 1: Yeah, I was disappointed to hear mention this the other day, 486 00:25:41,720 --> 00:25:44,920 Speaker 1: that we're in the golden age of the chatbots. That's 487 00:25:44,960 --> 00:25:48,280 Speaker 1: going to end here one of these days, any day. 488 00:25:48,359 --> 00:25:50,240 Speaker 1: It reminds me of you got to be old to 489 00:25:50,320 --> 00:25:54,000 Speaker 1: know this. But when satellite dishes first hit the scene, 490 00:25:54,359 --> 00:25:57,000 Speaker 1: and I had some friends who their families were rich, 491 00:25:57,040 --> 00:25:59,040 Speaker 1: so they got satellite dishes. When they first came out, 492 00:25:59,440 --> 00:26:02,560 Speaker 1: you could latch onto a satellite up there and watch 493 00:26:02,720 --> 00:26:07,040 Speaker 1: anything in a world pretty much for free, and you 494 00:26:07,119 --> 00:26:09,320 Speaker 1: got to see all kinds of like behind the scenes 495 00:26:09,359 --> 00:26:12,200 Speaker 1: and newsrooms and during commercial. 496 00:26:11,760 --> 00:26:13,840 Speaker 3: Breaks, people walking around in commercial free. 497 00:26:13,920 --> 00:26:14,080 Speaker 5: Yeah. 498 00:26:14,320 --> 00:26:16,720 Speaker 1: I didn't have one, but I had a friend who 499 00:26:16,720 --> 00:26:19,240 Speaker 1: did so, and everything was free. You can watch anything 500 00:26:19,240 --> 00:26:21,080 Speaker 1: in the world for free. Well, then you know that 501 00:26:21,119 --> 00:26:23,119 Speaker 1: came to a screeching halt when people figured out how 502 00:26:23,119 --> 00:26:24,760 Speaker 1: to monetize it. Everything like that, and then you got 503 00:26:24,800 --> 00:26:27,600 Speaker 1: to get you know, your package this and then and 504 00:26:27,760 --> 00:26:29,760 Speaker 1: that is going to happen with all these chatbots. One 505 00:26:29,800 --> 00:26:32,400 Speaker 1: of them is going to decide to put ads in chat, 506 00:26:32,440 --> 00:26:34,639 Speaker 1: GPT or groc or whatever. Then they're all going to 507 00:26:34,680 --> 00:26:37,479 Speaker 1: follow suit, and it's gonna be a completely different thing. 508 00:26:37,480 --> 00:26:39,000 Speaker 1: You're either gonna have to pay a lot more or 509 00:26:39,040 --> 00:26:42,000 Speaker 1: see tons of ads every time you go on there 510 00:26:42,480 --> 00:26:44,760 Speaker 1: and ask a question, because currently I probably use it 511 00:26:45,000 --> 00:26:48,280 Speaker 1: half dozen times a day at least, and it's pretty awesome. 512 00:26:48,320 --> 00:26:50,440 Speaker 1: You don't have to work your way around all these 513 00:26:50,520 --> 00:26:52,000 Speaker 1: freaking ads like you do on Google. 514 00:26:52,560 --> 00:26:55,280 Speaker 2: Yeah, it'll be their paid or ads supported, right. 515 00:26:56,040 --> 00:27:01,680 Speaker 3: So, I don't think what's the definition of nostalgia. 516 00:27:02,600 --> 00:27:06,800 Speaker 1: I remember when nostalgia was fantastic, but those that day 517 00:27:06,880 --> 00:27:10,280 Speaker 1: is over. Modern nostalgia can't hold a candle to old 518 00:27:10,280 --> 00:27:11,360 Speaker 1: timy nostalgia. 519 00:27:11,920 --> 00:27:15,359 Speaker 6: You know, I used to think of it as just 520 00:27:15,520 --> 00:27:25,119 Speaker 6: a purely emotional state, as opposed to an absolutely supportable 521 00:27:25,240 --> 00:27:27,960 Speaker 6: perception that that was better than this. 522 00:27:28,320 --> 00:27:31,080 Speaker 1: Well, sometimes it has to be true that things were better. 523 00:27:31,240 --> 00:27:34,280 Speaker 1: Can't always be just the rosy glow of memory, right, 524 00:27:34,320 --> 00:27:37,560 Speaker 1: sometimes literally true that it had to be better. So 525 00:27:39,240 --> 00:27:42,879 Speaker 1: do I have nostalgia for when news was better? Is 526 00:27:42,920 --> 00:27:48,200 Speaker 1: that nostalgia? Is that just discontent over time? I don't 527 00:27:48,240 --> 00:27:49,359 Speaker 1: even know anyway. 528 00:27:49,800 --> 00:27:53,120 Speaker 6: One of the things I'm nostalgic about is back when 529 00:27:53,520 --> 00:27:56,240 Speaker 6: you would go to a different city in America or 530 00:27:56,280 --> 00:28:00,360 Speaker 6: a different state and you would have different things. Yeah, 531 00:28:00,400 --> 00:28:04,560 Speaker 6: you would have different stores, different restaurants, different music, different culture. 532 00:28:04,840 --> 00:28:06,040 Speaker 2: My buddy's a private pilot. 533 00:28:06,080 --> 00:28:07,560 Speaker 1: He talks about this all the time because he goes 534 00:28:07,600 --> 00:28:11,080 Speaker 1: to towns all over the country. Just rich people need 535 00:28:11,119 --> 00:28:13,600 Speaker 1: to go to this town either to play golf there 536 00:28:13,680 --> 00:28:14,880 Speaker 1: or do a business deal or whatever. 537 00:28:15,119 --> 00:28:17,840 Speaker 2: He said, every time they go to is exactly the same. 538 00:28:17,920 --> 00:28:21,040 Speaker 1: You leave the airport and there's the Best Buy and 539 00:28:21,119 --> 00:28:24,240 Speaker 1: the home depot and the box hell. 540 00:28:24,200 --> 00:28:25,880 Speaker 3: I call it everywhere. Yeah. 541 00:28:25,920 --> 00:28:30,719 Speaker 1: Well, a charming, a termingly unique bit of culture is 542 00:28:30,880 --> 00:28:34,600 Speaker 1: enduring in Pittsburgh, Pittsburgh, Pennsylvania that I want to tell 543 00:28:34,600 --> 00:28:35,000 Speaker 1: you about. 544 00:28:35,240 --> 00:28:37,200 Speaker 3: Okay, yeah, maybe after the. 545 00:28:37,160 --> 00:28:40,520 Speaker 1: Break, we're else going to check in on the Savannah 546 00:28:40,600 --> 00:28:44,400 Speaker 1: Guthrie's mom story she's still missing, and it's become quite 547 00:28:44,480 --> 00:28:48,720 Speaker 1: the who done it? With new information coming out in 548 00:28:48,720 --> 00:28:50,440 Speaker 1: the last day or so, maybe we'll get into that 549 00:28:50,480 --> 00:28:51,120 Speaker 1: an hour three. 550 00:28:51,200 --> 00:28:52,080 Speaker 2: Hope you can join us. 551 00:28:56,320 --> 00:28:58,760 Speaker 1: You know, it's fun to just say the word shaboozi. 552 00:28:58,880 --> 00:29:02,160 Speaker 1: But he went not far enough in his woke acceptance 553 00:29:02,160 --> 00:29:05,360 Speaker 1: speech for the woke crowd and is being attacked from 554 00:29:05,360 --> 00:29:07,160 Speaker 1: the Grammys the other night. We'll get to that too 555 00:29:07,160 --> 00:29:07,840 Speaker 1: an hour three. 556 00:29:08,280 --> 00:29:12,040 Speaker 3: Something to look forward to. So I was right in 557 00:29:12,080 --> 00:29:12,360 Speaker 3: a way. 558 00:29:12,400 --> 00:29:14,760 Speaker 1: I looked up the meaning the definition of the word 559 00:29:14,840 --> 00:29:20,120 Speaker 1: nostalgia a sentimental longing or wistful affection for the past, 560 00:29:20,200 --> 00:29:23,080 Speaker 1: typically for a period or place with happy personal associations. Yeah, 561 00:29:23,080 --> 00:29:24,760 Speaker 1: but you looked it up online, which is not as 562 00:29:24,800 --> 00:29:26,160 Speaker 1: good as back when we used to look it up 563 00:29:26,200 --> 00:29:27,280 Speaker 1: in the paper dictionary. 564 00:29:27,680 --> 00:29:31,360 Speaker 6: Okay, al right, so but I was I was right 565 00:29:31,480 --> 00:29:35,920 Speaker 6: in that. I mean, for instance, because of the changing 566 00:29:36,160 --> 00:29:39,440 Speaker 6: in media, the change in media over the last couple 567 00:29:39,480 --> 00:29:42,600 Speaker 6: of decades, radio has been gutted, okay, and there are 568 00:29:42,760 --> 00:29:47,080 Speaker 6: a lot of changes to the industry. I'm not nostalgic 569 00:29:47,280 --> 00:29:52,040 Speaker 6: for when it worked better. That's not nostalgia. That's things 570 00:29:52,040 --> 00:29:53,280 Speaker 6: have gotten crappier. 571 00:29:55,280 --> 00:29:58,040 Speaker 1: Which I don't think you'd probably call nostalgia or right, 572 00:29:58,160 --> 00:30:00,840 Speaker 1: So if I lived in a nicer ho ten years 573 00:30:00,880 --> 00:30:03,000 Speaker 1: ago than I do now, that wouldn't be nostalgia. 574 00:30:03,000 --> 00:30:04,400 Speaker 2: It was just a nicer house. 575 00:30:04,520 --> 00:30:08,640 Speaker 6: Right, I'm not nostalgic about before I had arthritis. 576 00:30:08,920 --> 00:30:12,000 Speaker 3: I mean there's a difference. 577 00:30:12,280 --> 00:30:15,000 Speaker 1: Okay, Well, then didn't tell me something that is clearly 578 00:30:15,160 --> 00:30:16,360 Speaker 1: is clearly nostalgia. 579 00:30:17,200 --> 00:30:19,640 Speaker 6: I think how much fun I used to have playing 580 00:30:19,720 --> 00:30:27,280 Speaker 6: pond hockey with my friends all the winter long and girlfriends. 581 00:30:26,560 --> 00:30:29,960 Speaker 1: I fell for. But that was fun riding my bike 582 00:30:30,040 --> 00:30:32,840 Speaker 1: to the pool. But it was fun playing the pond hockey. 583 00:30:32,880 --> 00:30:35,440 Speaker 1: So why is it nostalgia as opposed to that actually 584 00:30:35,520 --> 00:30:37,440 Speaker 1: was fun and I wish I could do that again. 585 00:30:38,760 --> 00:30:42,200 Speaker 6: Well, it's a sentimental longing for the past because it 586 00:30:42,280 --> 00:30:46,360 Speaker 6: was fun and nice and good. It's not it's different 587 00:30:46,440 --> 00:30:49,240 Speaker 6: than those other things. But I feel like the emotions 588 00:30:49,360 --> 00:30:51,240 Speaker 6: very the emotions very similar. 589 00:30:51,880 --> 00:30:56,320 Speaker 2: I feel like same quadrant of your brain. I'll give 590 00:30:56,320 --> 00:30:56,800 Speaker 2: you that I. 591 00:30:56,680 --> 00:30:58,640 Speaker 1: Had a cool sports car once that I can't have 592 00:30:58,720 --> 00:30:59,800 Speaker 1: now because I got kids. 593 00:31:01,200 --> 00:31:02,280 Speaker 3: I like driving that car. 594 00:31:02,320 --> 00:31:04,200 Speaker 2: Is that nostalgia? I don't know. 595 00:31:06,640 --> 00:31:09,520 Speaker 6: No, No, I don't think so, not per se Anyway, 596 00:31:09,640 --> 00:31:13,040 Speaker 6: this is all a long, wishy wash. You lead into 597 00:31:13,440 --> 00:31:16,400 Speaker 6: an absolutely charming story about one of the last vestiges 598 00:31:16,480 --> 00:31:22,960 Speaker 6: of local culture in America. I despise the absolutely uniform 599 00:31:23,000 --> 00:31:25,200 Speaker 6: big box hell that spread across the country. 600 00:31:25,320 --> 00:31:27,560 Speaker 2: Anyway, got a TJ. Max, you got a Best Buy, 601 00:31:27,680 --> 00:31:30,440 Speaker 2: you got a Home Depot, You got the same restaurants, 602 00:31:30,480 --> 00:31:31,200 Speaker 2: the same stores. 603 00:31:31,280 --> 00:31:33,600 Speaker 3: They all have the same design. Blah blah blah blah blah. 604 00:31:33,640 --> 00:31:36,880 Speaker 1: Everybody's you know, listening to the well actually different music 605 00:31:36,880 --> 00:31:40,280 Speaker 1: depending on your neighborhood. But so anyway, this is about Pittsburgh, Pennsylvania, 606 00:31:41,120 --> 00:31:47,600 Speaker 1: and parking chairs. Not only is it tradition, it's the law. 607 00:31:47,760 --> 00:31:51,560 Speaker 1: In Pittsburgh snows there a lot. If you dig out 608 00:31:51,720 --> 00:31:54,360 Speaker 1: a parking space, like in front of your house on 609 00:31:54,440 --> 00:31:59,360 Speaker 1: the street, you put a chair there until you can 610 00:31:59,360 --> 00:32:02,520 Speaker 1: get your car or your wife gets home or whatever, 611 00:32:02,840 --> 00:32:06,160 Speaker 1: and she parks her car there because you cleared it. 612 00:32:06,160 --> 00:32:09,320 Speaker 1: It's your space, and it's not. Again, it's not just 613 00:32:09,360 --> 00:32:14,160 Speaker 1: a tradition, it's the law. And if somebody moves your chair, 614 00:32:14,720 --> 00:32:19,200 Speaker 1: you're probably gonna get cussed out, get your face punched, 615 00:32:20,000 --> 00:32:22,960 Speaker 1: or you can even get a ticket that's like a 616 00:32:23,000 --> 00:32:24,360 Speaker 1: civil ticket. 617 00:32:24,680 --> 00:32:25,520 Speaker 3: Violation thing. 618 00:32:25,920 --> 00:32:30,200 Speaker 6: Frequently, the note on the windshield will call them a 619 00:32:30,320 --> 00:32:34,880 Speaker 6: quote jag off, which is a delightful Midwestern term defined 620 00:32:34,880 --> 00:32:39,120 Speaker 6: here by the Oxford English Dictionary as Western Pennsylvania slang 621 00:32:39,160 --> 00:32:41,960 Speaker 6: for a stupid, irritating, or contemptible person. 622 00:32:41,760 --> 00:32:42,360 Speaker 2: That's with a G. 623 00:32:43,280 --> 00:32:46,160 Speaker 1: That's a j as a matter of fact, Jay, Joseph, 624 00:32:46,240 --> 00:32:51,000 Speaker 1: but then gre yes in the middle. Yes, Yes, I'm not. 625 00:32:51,080 --> 00:32:53,280 Speaker 1: The k sounded two f's at the end. If you 626 00:32:53,320 --> 00:32:56,840 Speaker 1: want to get super thorough on it, yeah, I just 627 00:32:59,120 --> 00:33:03,880 Speaker 1: Pittsburgh's Mayor Corey O'Connor Bigra said, there's a lot of 628 00:33:03,960 --> 00:33:06,560 Speaker 1: chairs popping up on your street, so please respect the 629 00:33:06,680 --> 00:33:08,640 Speaker 1: chair law or whatever you want to call it in 630 00:33:08,680 --> 00:33:10,960 Speaker 1: the neighborhoods, he told reporters last week. 631 00:33:11,080 --> 00:33:13,240 Speaker 2: In other words, don't be a jag off. 632 00:33:15,080 --> 00:33:16,240 Speaker 3: Don't be one of them. 633 00:33:17,360 --> 00:33:24,040 Speaker 1: Right, let's see. Yeah, there are all sorts of charming stories. 634 00:33:24,120 --> 00:33:31,240 Speaker 1: Oh it went viral. Uh, This gal chopped ice for 635 00:33:31,320 --> 00:33:34,800 Speaker 1: nearly two hours for the family dodge caravan and then 636 00:33:34,840 --> 00:33:37,320 Speaker 1: she sat down on her chair and had a glass 637 00:33:37,360 --> 00:33:40,680 Speaker 1: of pino noir, and her daughter took a picture of 638 00:33:40,760 --> 00:33:46,240 Speaker 1: it and put it up online, and she became yinzer famous, 639 00:33:46,280 --> 00:33:49,040 Speaker 1: which is a reference to a Pennsylvania culture. 640 00:33:49,040 --> 00:33:50,000 Speaker 3: I think it's like a. 641 00:33:49,880 --> 00:33:52,440 Speaker 2: Different world there. I don't understand any of these terms. 642 00:33:52,960 --> 00:33:55,680 Speaker 3: Ah yeah, yeah, but how charming. 643 00:33:56,640 --> 00:33:57,600 Speaker 2: And then you tried that. 644 00:33:57,640 --> 00:33:59,680 Speaker 6: In a lot of parts of America you get shot 645 00:34:00,040 --> 00:34:03,000 Speaker 6: either if you're one side of that the bargain or another. 646 00:34:03,200 --> 00:34:05,680 Speaker 2: You want to talk jag offs, I mean, come on. 647 00:34:07,560 --> 00:34:11,200 Speaker 3: Let's see. Uh blah blah blah uh. 648 00:34:11,360 --> 00:34:14,160 Speaker 1: Cities accustomed to blizzards have customs for saving a spot. 649 00:34:14,200 --> 00:34:17,520 Speaker 6: In Chicago it's called dibbs. Boston sanctions the use of 650 00:34:17,560 --> 00:34:21,000 Speaker 6: space savers after a declared snow emergency. Still not everyone 651 00:34:21,040 --> 00:34:24,120 Speaker 6: as a fan, don't do it, said Baltimore Mayor Brandon 652 00:34:24,160 --> 00:34:25,879 Speaker 6: Scott icily last week. 653 00:34:25,920 --> 00:34:26,680 Speaker 3: That's some good writing. 654 00:34:27,040 --> 00:34:29,279 Speaker 6: If I see your chair, it's coming with me and 655 00:34:29,280 --> 00:34:30,560 Speaker 6: going into the trash. 656 00:34:30,600 --> 00:34:31,160 Speaker 3: So wow. 657 00:34:31,200 --> 00:34:36,040 Speaker 1: In violent, lawless Baltimore, there is no shared culture. There's 658 00:34:36,080 --> 00:34:41,239 Speaker 1: no common agreement on more's and custom Why would you 659 00:34:41,280 --> 00:34:45,399 Speaker 1: be anti to putting the chair thing there? Well, how 660 00:34:45,400 --> 00:34:46,880 Speaker 1: long do you get to save a spot? 661 00:34:46,960 --> 00:34:48,920 Speaker 2: I guess it'd be one of the things, because pretty 662 00:34:48,920 --> 00:34:50,920 Speaker 2: soon all the spots as long as it takes. 663 00:34:52,440 --> 00:34:56,680 Speaker 6: Yeah, I think that's an interesting contrast, though, in Yeah, 664 00:34:57,360 --> 00:35:01,680 Speaker 6: in Pittsburgh, they're saying, y, this is our customer tradition 665 00:35:01,880 --> 00:35:04,479 Speaker 6: and you need to respect it. In Baltimore, there's saying, fu, 666 00:35:04,840 --> 00:35:06,319 Speaker 6: I'm taking your spot in your chair. 667 00:35:07,400 --> 00:35:09,200 Speaker 1: You want to come at me, Come at me? Bees 668 00:35:10,120 --> 00:35:14,920 Speaker 1: Blue Blue Blue, I got my gat Wow, Yeah, Louie 669 00:35:15,440 --> 00:35:16,759 Speaker 1: Blue Nice. 670 00:35:17,440 --> 00:35:18,239 Speaker 3: In Baltimore, you. 671 00:35:18,280 --> 00:35:19,879 Speaker 2: Got a jag off in your site and you ain't 672 00:35:19,880 --> 00:35:20,759 Speaker 2: gonna let them get away. 673 00:35:20,960 --> 00:35:23,200 Speaker 3: Oh boy, you don't want that. 674 00:35:23,719 --> 00:35:26,920 Speaker 6: The parking chair, like the perogi, has become a kitchy 675 00:35:27,000 --> 00:35:33,000 Speaker 6: emblem of Pittsburgh, as comforting as strawberry jello, pretzel salad. Boy, 676 00:35:33,080 --> 00:35:37,920 Speaker 6: that's a Midwestern throwback right there. T shirts proclaim respect 677 00:35:38,000 --> 00:35:42,440 Speaker 6: the parking chair. Tiny chairs dangle on Christmas trees. Besides 678 00:35:42,760 --> 00:35:49,840 Speaker 6: fake Heinz pickles, heines like it's a native to Pittsburgh. 679 00:35:49,800 --> 00:35:52,880 Speaker 1: Well stealers logos, et cetera. That's the culture of Pittsburgh. 680 00:35:52,920 --> 00:35:56,120 Speaker 1: We'll do another town next Wednesday when we do Omaha, Nebraska. 681 00:35:56,280 --> 00:35:59,520 Speaker 1: And there are no other cities that have a culture anymore. 682 00:36:00,280 --> 00:36:02,600 Speaker 1: Their culture is the big box. It is going away 683 00:36:02,800 --> 00:36:05,600 Speaker 1: a lot. One thing I liked when I was in Louisiana, 684 00:36:05,680 --> 00:36:07,960 Speaker 1: New Orleans there's quite a bit of culture there. I 685 00:36:08,080 --> 00:36:10,200 Speaker 1: was I was amazed that they've been able to hold 686 00:36:10,360 --> 00:36:13,040 Speaker 1: on to as much culture as they have there because 687 00:36:13,080 --> 00:36:16,760 Speaker 1: everything is becoming so homogenized and it sucks. 688 00:36:18,040 --> 00:36:19,840 Speaker 2: It sucks. Homogenation sucks. 689 00:36:20,080 --> 00:36:20,440 Speaker 3: Kind of. 690 00:36:22,600 --> 00:36:25,959 Speaker 1: Savannah Guthrie's mom missing what is going on with that story? 691 00:36:26,000 --> 00:36:27,600 Speaker 1: The latest I think a lot of you are following it. 692 00:36:27,640 --> 00:36:29,880 Speaker 2: Will do that NOWUR three Armstrong and Getty