1 00:00:01,880 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,200 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Kaddy. 3 00:00:10,200 --> 00:00:17,759 Speaker 2: Armstrong and Jet Kiki and He Armstrong and Getty Strong 4 00:00:23,239 --> 00:00:26,880 Speaker 2: twenty twenty five. What a year? Huh? That was something. 5 00:00:27,680 --> 00:00:28,640 Speaker 2: We're not here right now. 6 00:00:28,680 --> 00:00:30,680 Speaker 3: We're playing you the best of what we call like 7 00:00:30,720 --> 00:00:32,479 Speaker 3: to call Armstrong and Getty replays. 8 00:00:32,680 --> 00:00:35,240 Speaker 4: Yeah, and the staff is still shell shocked. They're still 9 00:00:35,280 --> 00:00:37,600 Speaker 4: crying quietly in the corner. It takes so much work 10 00:00:37,640 --> 00:00:39,720 Speaker 4: to get this together and present it to you in 11 00:00:39,880 --> 00:00:41,600 Speaker 4: as entertaining the form as it is. 12 00:00:41,680 --> 00:00:43,159 Speaker 2: It's the Armstrong and getting replay. 13 00:00:43,640 --> 00:00:46,680 Speaker 4: So the Internet has decided to hate on a woman 14 00:00:46,840 --> 00:00:51,400 Speaker 4: from Chico, California this week, and she certainly earned a 15 00:00:51,440 --> 00:00:56,160 Speaker 4: certain amount of dislike in derision. Although, as we've observed 16 00:00:56,200 --> 00:01:01,480 Speaker 4: many times, the Internet mob not only does it sometimes 17 00:01:01,520 --> 00:01:06,200 Speaker 4: go overboard, it practically starts overboard and just turns into 18 00:01:06,319 --> 00:01:10,360 Speaker 4: angry mobs on this woman. Short of violence. I'm fine 19 00:01:10,360 --> 00:01:16,080 Speaker 4: with practically whatever. Oh my, oh my, disavow I disavow uh. Anyway, 20 00:01:16,120 --> 00:01:18,960 Speaker 4: here is the incident that you have a younger woman 21 00:01:19,080 --> 00:01:23,679 Speaker 4: be rating an elderly gal who is working to earn 22 00:01:23,760 --> 00:01:26,080 Speaker 4: a few bucks at her local Target. 23 00:01:27,720 --> 00:01:31,440 Speaker 2: Can you wear red any red shirt but Charlie kirksher? Yes? 24 00:01:31,640 --> 00:01:33,920 Speaker 2: Oh yes, I know. Are you stupid? 25 00:01:34,440 --> 00:01:34,480 Speaker 1: No? 26 00:01:35,120 --> 00:01:37,800 Speaker 2: Why the would you wear that? You're at work at Target. 27 00:01:38,440 --> 00:01:43,399 Speaker 2: You support a racist? It's not racist. Yes, I'm sorry 28 00:01:43,480 --> 00:01:45,440 Speaker 2: that I sat here and arguing you're not. 29 00:01:45,480 --> 00:01:47,080 Speaker 5: You should go get your manager. You should not be 30 00:01:47,080 --> 00:01:51,040 Speaker 5: allowed to wear the artwork got you. The opinion is 31 00:01:51,040 --> 00:01:54,920 Speaker 5: he's a racist and you support him. Yes, this is 32 00:01:54,920 --> 00:02:01,120 Speaker 5: going to be taken above your head. That's insane and sane. 33 00:02:02,560 --> 00:02:04,520 Speaker 2: Yeah, you're awful. You're an awful person. 34 00:02:04,960 --> 00:02:09,640 Speaker 3: We're big in Chico, Chico, northern California. The dang up 35 00:02:09,639 --> 00:02:12,880 Speaker 3: by writing those areas, they lean way more conservative than 36 00:02:13,000 --> 00:02:15,000 Speaker 3: I'm talking to people around the country who don't know. 37 00:02:15,040 --> 00:02:17,640 Speaker 3: This lean way more conservative than a lot of what 38 00:02:17,680 --> 00:02:20,640 Speaker 3: you picture with California. So it's not that surprising that 39 00:02:20,720 --> 00:02:23,040 Speaker 3: you got an older woman wearing a Charlie kirkt shirt 40 00:02:23,080 --> 00:02:27,920 Speaker 3: at the Target. The woman who decides to drop f 41 00:02:28,040 --> 00:02:31,280 Speaker 3: bombs on an old woman probably working a seasonal schedule 42 00:02:31,320 --> 00:02:33,720 Speaker 3: at Target to make a little extra money, and then 43 00:02:33,800 --> 00:02:34,400 Speaker 3: posting it. 44 00:02:34,360 --> 00:02:35,960 Speaker 2: With are you f ing stupid? 45 00:02:36,480 --> 00:02:39,840 Speaker 4: Oh my god, you're an awful person. Back to you know, 46 00:02:39,919 --> 00:02:43,200 Speaker 4: whatever derision comes our way, I'm fine with God, you're 47 00:02:43,200 --> 00:02:45,520 Speaker 4: a horrible human being. And then she posted it herself 48 00:02:45,520 --> 00:02:48,280 Speaker 4: because she's so look at me own this nice old 49 00:02:48,320 --> 00:02:54,119 Speaker 4: woman right, very proud of it, posted herself online hate 50 00:02:54,280 --> 00:02:57,160 Speaker 4: social media is shut down, as you might imagine now 51 00:02:58,080 --> 00:03:02,680 Speaker 4: as hate and derision, and followed the posting somebody before 52 00:03:02,680 --> 00:03:06,239 Speaker 4: she shut down her social media posted a picture of 53 00:03:06,680 --> 00:03:10,560 Speaker 4: her with some companion who or posing next to an 54 00:03:10,600 --> 00:03:14,560 Speaker 4: America Needed Charlie Kirk a sticker on a car gesturing 55 00:03:14,600 --> 00:03:18,280 Speaker 4: at their throat like having your throat shot out and 56 00:03:18,320 --> 00:03:20,200 Speaker 4: then a middle finger and that sort of thing. 57 00:03:20,480 --> 00:03:22,080 Speaker 2: Very clever, very smug. 58 00:03:22,160 --> 00:03:24,800 Speaker 4: I hate this woman. On the other hand, I would 59 00:03:25,040 --> 00:03:28,720 Speaker 4: never take even ten seconds of my time to post 60 00:03:28,760 --> 00:03:33,280 Speaker 4: anything about her or call her work or I would 61 00:03:33,320 --> 00:03:36,600 Speaker 4: never ever do that. There's been quite a bit of 62 00:03:37,560 --> 00:03:39,120 Speaker 4: anger pour down on her Katie right. 63 00:03:40,200 --> 00:03:42,840 Speaker 6: Oh yeah, the medical facility that she works for has 64 00:03:42,880 --> 00:03:48,000 Speaker 6: received six thousand plus profanity laced phone calls. 65 00:03:48,320 --> 00:03:51,200 Speaker 2: Yeah, yeah, I just I don't get that impulse. 66 00:03:51,240 --> 00:03:57,320 Speaker 4: Really, I kind of think, well, I think you get 67 00:03:57,360 --> 00:04:00,640 Speaker 4: the impulse, you don't get the action. Yeah, I get 68 00:04:00,640 --> 00:04:03,160 Speaker 4: the impulse. I don't get the action correct. I think 69 00:04:03,200 --> 00:04:05,000 Speaker 4: it's more along the lines of what you always say 70 00:04:05,000 --> 00:04:07,040 Speaker 4: about people like that. The worst punishment you could dole 71 00:04:07,080 --> 00:04:09,440 Speaker 4: out is them having to be themselves the rest of 72 00:04:09,520 --> 00:04:12,600 Speaker 4: their lives. It's a life sentence. I'm sure she doesn't 73 00:04:12,600 --> 00:04:14,800 Speaker 4: have a lot of friends. A lot of people hate her, 74 00:04:14,840 --> 00:04:17,880 Speaker 4: whether she knows it or not. Well, I'll bet she 75 00:04:17,960 --> 00:04:23,200 Speaker 4: has a lot of people who are her fellow, strident, hateful, superior. 76 00:04:23,520 --> 00:04:26,560 Speaker 4: Stop me, when you recognize a good quality in a person, 77 00:04:27,320 --> 00:04:33,120 Speaker 4: you know, judgmental, vicious tribesmen like her and they all 78 00:04:33,160 --> 00:04:35,160 Speaker 4: support each other in high five and that sort of thing. 79 00:04:35,320 --> 00:04:39,400 Speaker 6: Yeah, that's probably the crowd. She was posting this too. Sure, 80 00:04:39,480 --> 00:04:44,440 Speaker 6: it's difficult, Like I don't I don't know that people 81 00:04:44,440 --> 00:04:46,240 Speaker 6: ought to be hounded out of their jobs for this 82 00:04:46,320 --> 00:04:49,320 Speaker 6: sort of thing. But as we were talking about yesterday, 83 00:04:49,440 --> 00:04:52,279 Speaker 6: if we found out somebody around here that that I 84 00:04:52,320 --> 00:04:54,360 Speaker 6: needed to work with, don't just work with like it's 85 00:04:54,440 --> 00:04:56,640 Speaker 6: they're in the building and I see them occasionally, like 86 00:04:56,680 --> 00:04:59,000 Speaker 6: I need to interact with them on a regular basis 87 00:04:59,080 --> 00:05:00,760 Speaker 6: and have converse with them. 88 00:05:01,320 --> 00:05:03,000 Speaker 2: I don't want to work with somebody like that. 89 00:05:04,800 --> 00:05:07,800 Speaker 4: No, And if they were under my supervision, I would 90 00:05:07,839 --> 00:05:09,320 Speaker 4: seek a way to have them. 91 00:05:09,160 --> 00:05:12,120 Speaker 2: Not be in the organization anymore. I don't, you know, 92 00:05:12,200 --> 00:05:13,599 Speaker 2: it's a. 93 00:05:13,440 --> 00:05:15,960 Speaker 3: Sort of because of why because they're a hateful lunatic. 94 00:05:16,880 --> 00:05:18,919 Speaker 3: Well yeah, that that among other things. 95 00:05:19,080 --> 00:05:20,960 Speaker 4: We got an email we were talking about I can't 96 00:05:21,000 --> 00:05:23,800 Speaker 4: remember what the topic was exactly, but we got an 97 00:05:23,800 --> 00:05:26,640 Speaker 4: email from a guy who's in the car business. Well, 98 00:05:26,680 --> 00:05:28,960 Speaker 4: I guess we were talking about dishonest car dealers or 99 00:05:28,960 --> 00:05:31,320 Speaker 4: something like that, and he said, look, I learned a 100 00:05:31,360 --> 00:05:33,919 Speaker 4: long time ago that anybody who will lie for me 101 00:05:34,320 --> 00:05:37,560 Speaker 4: sooner or later will lie to me, and so he 102 00:05:37,640 --> 00:05:41,280 Speaker 4: doesn't employ people like that. Well, you get a hateful, vicious, 103 00:05:41,320 --> 00:05:45,240 Speaker 4: bigot woman like this, there's no chance. That's the only 104 00:05:46,320 --> 00:05:50,320 Speaker 4: you know, moral failing and the only you know way 105 00:05:50,400 --> 00:05:52,680 Speaker 4: in which that will come out over time. So no, 106 00:05:52,800 --> 00:05:55,039 Speaker 4: I don't want that sort of person in my organization. 107 00:05:55,560 --> 00:05:59,280 Speaker 4: On the other hand, the lovely and gentle spirited older 108 00:05:59,320 --> 00:06:02,560 Speaker 4: gal who were talking about the target employee has something 109 00:06:02,560 --> 00:06:03,480 Speaker 4: to say. Clip eighteen. 110 00:06:03,880 --> 00:06:07,360 Speaker 7: Two wrongs don't make a right. You know, she wronged 111 00:06:07,520 --> 00:06:10,200 Speaker 7: me that I don't want to wrong her. That was 112 00:06:10,320 --> 00:06:15,160 Speaker 7: her opinion. But she's the one that fitted on Facebook, 113 00:06:15,839 --> 00:06:18,880 Speaker 7: you know, but I really wouldn't want to see her 114 00:06:19,200 --> 00:06:20,840 Speaker 7: somebody lose their job over it. 115 00:06:21,000 --> 00:06:24,840 Speaker 4: Wow, you know nothing about clapping back. That's a very 116 00:06:24,960 --> 00:06:27,640 Speaker 4: kind and decent thing. And you you have not wronged 117 00:06:27,680 --> 00:06:30,560 Speaker 4: her gene, and then you will not wrong her. It's 118 00:06:30,600 --> 00:06:32,440 Speaker 4: everybody else that wants to wrong her. 119 00:06:32,520 --> 00:06:34,680 Speaker 3: And then, in the way that the modern world works, 120 00:06:34,760 --> 00:06:36,960 Speaker 3: somebody started to go fund me for the old lady 121 00:06:36,960 --> 00:06:39,279 Speaker 3: who was wearing the Charlie kirkt shirt to raise money 122 00:06:39,279 --> 00:06:41,240 Speaker 3: for her. Where are we on that because of her 123 00:06:41,279 --> 00:06:42,279 Speaker 3: financial losses? 124 00:06:42,600 --> 00:06:46,039 Speaker 2: Wait? Wait, no, there weren't any Yes, where are we 125 00:06:46,080 --> 00:06:46,839 Speaker 2: on that? Katie? 126 00:06:46,960 --> 00:06:48,000 Speaker 4: I believe. 127 00:06:49,279 --> 00:06:52,200 Speaker 2: We're at one hundred and twenty seven thousand. There you go. 128 00:06:53,440 --> 00:06:55,120 Speaker 2: That is so interesting. 129 00:06:55,160 --> 00:06:58,599 Speaker 4: It's like one of those raffles where you get to 130 00:06:58,720 --> 00:07:01,320 Speaker 4: pick which prizes you like the best, and you put 131 00:07:01,360 --> 00:07:03,760 Speaker 4: your ticket in front of the golf clubs, but not 132 00:07:03,880 --> 00:07:06,400 Speaker 4: in front of the poe parie because you don't want that. 133 00:07:06,640 --> 00:07:07,520 Speaker 2: Well, America with. 134 00:07:07,480 --> 00:07:10,720 Speaker 4: The GoFundMe, just like puts their dollars in the jar 135 00:07:10,880 --> 00:07:13,960 Speaker 4: of whoever they like the best or or think is 136 00:07:14,040 --> 00:07:15,679 Speaker 4: the on the right side of something. 137 00:07:15,680 --> 00:07:19,480 Speaker 2: It's an interesting impulse. Let's make her at least momentarily wealthy. 138 00:07:19,720 --> 00:07:22,320 Speaker 3: So this nice old woman work at a target because 139 00:07:22,320 --> 00:07:25,080 Speaker 3: some ass clown comes and says some rude things. Now 140 00:07:25,200 --> 00:07:27,760 Speaker 3: probably is more cash flush than she's ever been in 141 00:07:27,800 --> 00:07:28,360 Speaker 3: her life. 142 00:07:28,880 --> 00:07:32,320 Speaker 4: Yeah, right now, you could make the argument that it's 143 00:07:32,560 --> 00:07:35,880 Speaker 4: a praise, it's a tip if you will, for her restraint, 144 00:07:36,120 --> 00:07:38,240 Speaker 4: her kindness, and her good manner, her. 145 00:07:38,200 --> 00:07:41,520 Speaker 3: Rewarding good behavior punishing bad behavior. That's the whole thing, 146 00:07:41,720 --> 00:07:42,360 Speaker 3: really right. 147 00:07:42,480 --> 00:07:45,560 Speaker 4: And by the way, if you had some nice old 148 00:07:45,600 --> 00:07:49,320 Speaker 4: black woman wearing a BLM T shirt and some right 149 00:07:49,360 --> 00:07:53,360 Speaker 4: winger came along and said, are you effing stupid Black 150 00:07:53,360 --> 00:07:53,920 Speaker 4: Lives Matter? 151 00:07:53,960 --> 00:07:54,760 Speaker 2: Blah blah blah, I. 152 00:07:54,760 --> 00:07:58,520 Speaker 4: Would feel exactly the same way, exactly well, and it's 153 00:07:58,520 --> 00:08:00,880 Speaker 4: worth noting that the nation's media would have this on 154 00:08:00,920 --> 00:08:02,239 Speaker 4: their front page for a week. 155 00:08:02,720 --> 00:08:04,119 Speaker 2: True, that's a very good point. 156 00:08:04,920 --> 00:08:07,880 Speaker 4: Yeah, yeah, some nice old lady who leans right being 157 00:08:08,000 --> 00:08:11,320 Speaker 4: verbally accosted by a vicious younger person doesn't get a 158 00:08:11,360 --> 00:08:14,320 Speaker 4: breath of attention in the mainstream media. 159 00:08:14,360 --> 00:08:19,000 Speaker 2: But we're used to that. These are weird times to 160 00:08:19,040 --> 00:08:22,120 Speaker 2: live in. Yeah, not a fan. 161 00:08:22,600 --> 00:08:27,480 Speaker 3: So her company, the awful human being that is the 162 00:08:27,560 --> 00:08:32,760 Speaker 3: woman drop a f bombs and complaining she hasn't lost 163 00:08:32,760 --> 00:08:35,640 Speaker 3: her job yet, her company hasn't fired her. They haven't, 164 00:08:35,800 --> 00:08:38,760 Speaker 3: of course, it might just be the difficulty of firing 165 00:08:38,760 --> 00:08:39,960 Speaker 3: anybody in California. 166 00:08:40,160 --> 00:08:42,199 Speaker 2: They don't want to deal with the lawsuits and all 167 00:08:42,200 --> 00:08:42,920 Speaker 2: that sort of stuff. 168 00:08:43,040 --> 00:08:45,079 Speaker 3: Might just be that if it were if they were 169 00:08:45,120 --> 00:08:48,160 Speaker 3: like the olden days or different states, where you could think, 170 00:08:48,360 --> 00:08:50,559 Speaker 3: I hate her, what a jerk, let's get rid of her, 171 00:08:50,920 --> 00:08:51,680 Speaker 3: they probably would have. 172 00:08:52,679 --> 00:08:53,040 Speaker 4: Yeah. 173 00:08:53,120 --> 00:08:55,280 Speaker 6: The company released a statement I can't remember if it 174 00:08:55,320 --> 00:08:57,760 Speaker 6: was on Instagram or Facebook, basically saying we're aware of 175 00:08:57,800 --> 00:09:01,160 Speaker 6: the video. We don't come down our our employees' actions 176 00:09:01,160 --> 00:09:04,319 Speaker 6: and there's a further investigation or you know, the corporate. 177 00:09:04,080 --> 00:09:05,360 Speaker 2: Please stop calling us. 178 00:09:06,040 --> 00:09:10,120 Speaker 4: Yeah, they said, because our Yeah, yeah, because our patients 179 00:09:10,120 --> 00:09:10,880 Speaker 4: can't get through. 180 00:09:11,040 --> 00:09:12,640 Speaker 2: Yeah that was it. 181 00:09:12,720 --> 00:09:17,440 Speaker 3: Yeah, fair enough, somebody I just came across this on Twitter. 182 00:09:17,480 --> 00:09:20,320 Speaker 3: Apropos of nothing. The best part of being married is 183 00:09:20,360 --> 00:09:23,760 Speaker 3: having a permanent person to debrief immediately with after any 184 00:09:23,800 --> 00:09:24,439 Speaker 3: social event. 185 00:09:26,320 --> 00:09:28,360 Speaker 2: That's that's good, and it reminds me. 186 00:09:28,440 --> 00:09:32,120 Speaker 3: I saw a thing Jmore, the comedian I saw on 187 00:09:32,200 --> 00:09:36,839 Speaker 3: Instagram thing on him yesterday. He's talking about getting married 188 00:09:36,920 --> 00:09:38,960 Speaker 3: and people always say, you know, you got to find 189 00:09:38,960 --> 00:09:40,800 Speaker 3: somebody you got stuff in common with. And he says 190 00:09:40,800 --> 00:09:42,839 Speaker 3: that's crap, which I also kind of think is true. 191 00:09:43,160 --> 00:09:44,960 Speaker 3: A lot of my best friends we have very little 192 00:09:45,000 --> 00:09:47,679 Speaker 3: in common with and like music and movies and all 193 00:09:47,720 --> 00:09:49,800 Speaker 3: that sort of stuff and restaurants stuff like that. But 194 00:09:49,840 --> 00:09:52,760 Speaker 3: we're best friends for all kinds of different deeper reasons. 195 00:09:54,640 --> 00:09:56,240 Speaker 3: But he said, you know who you need to be 196 00:09:56,280 --> 00:09:59,720 Speaker 3: married to. That you have the things you hate in common. 197 00:10:00,040 --> 00:10:02,080 Speaker 3: That's the important thing. When you get a grade you 198 00:10:02,120 --> 00:10:04,800 Speaker 3: hate the same sort of stuff. That might be very true. 199 00:10:04,920 --> 00:10:06,439 Speaker 3: It might actually be true. 200 00:10:06,920 --> 00:10:07,240 Speaker 2: Wow. 201 00:10:07,400 --> 00:10:10,440 Speaker 4: Yeah, somebody's got to write a momentarily hot book on 202 00:10:10,480 --> 00:10:11,040 Speaker 4: that topic. 203 00:10:12,679 --> 00:10:19,000 Speaker 1: Jack Armstrong and Joe the Armstrong and Getty Show. 204 00:10:19,720 --> 00:10:24,719 Speaker 4: A high school female athlete did something very courageous the 205 00:10:24,800 --> 00:10:27,840 Speaker 4: other day. She didn't let coming in second to a 206 00:10:27,960 --> 00:10:33,920 Speaker 4: male born dude transgender competitor. It's a dude preventer from 207 00:10:33,960 --> 00:10:36,160 Speaker 4: standing in the top spot at the podium during the 208 00:10:36,200 --> 00:10:39,600 Speaker 4: stack in the state track and field meet in cal Unicornia. 209 00:10:39,720 --> 00:10:42,480 Speaker 4: Of course, this sixteen year old Reese Hogan was crowned 210 00:10:42,559 --> 00:10:45,480 Speaker 4: runner up in the triple jump at the CIF Southern 211 00:10:45,520 --> 00:10:49,240 Speaker 4: Section Finals on Saturday, despite setting a new personal record 212 00:10:49,240 --> 00:10:54,040 Speaker 4: for herself and beating all of the girls. She lost 213 00:10:54,120 --> 00:10:58,000 Speaker 4: first place to a dude who beat everybody. 214 00:10:57,480 --> 00:11:01,040 Speaker 2: Else by like four feet or something like that. How 215 00:11:01,080 --> 00:11:02,960 Speaker 2: does the crowd not go nuts? 216 00:11:03,280 --> 00:11:06,320 Speaker 3: How are the parents not like screaming so loud they 217 00:11:06,360 --> 00:11:07,520 Speaker 3: can't have the ceremony. 218 00:11:07,720 --> 00:11:10,960 Speaker 2: I would be as a dad, this is ridiculous. What 219 00:11:11,080 --> 00:11:13,320 Speaker 2: are we doing? I would be screaming. 220 00:11:14,080 --> 00:11:16,760 Speaker 4: I think some people hesitate because they don't want to 221 00:11:17,360 --> 00:11:22,480 Speaker 4: target the confused adolescent boy who is convinced he's a girl. 222 00:11:22,720 --> 00:11:24,840 Speaker 2: I don't think that way of handling it is working. 223 00:11:25,960 --> 00:11:28,600 Speaker 4: Yeah, I would agree, But so anyway, they went to 224 00:11:28,640 --> 00:11:34,400 Speaker 4: take the pictures and junior trans athlete, it's a boy. 225 00:11:34,520 --> 00:11:39,360 Speaker 4: Just say boy, this person of Jerupe Valley who won 226 00:11:39,440 --> 00:11:43,120 Speaker 4: titles in the girl's long jump and triple jump, congratulations, sir, 227 00:11:43,160 --> 00:11:46,680 Speaker 4: well done. Post with competitors to take pictures on the podium, 228 00:11:46,840 --> 00:11:50,240 Speaker 4: But as the athletes cleared off, Ms Hogan seized the moment, 229 00:11:50,600 --> 00:11:54,360 Speaker 4: walked to the first place spot, smiled and posed proudly 230 00:11:54,400 --> 00:11:57,520 Speaker 4: for a picture as the girl who actually won. I 231 00:11:57,520 --> 00:11:59,679 Speaker 4: would like to know how the crowd reacted during that, 232 00:12:00,120 --> 00:12:04,760 Speaker 4: cheering with great lust and happiness. Not a huge crowd, 233 00:12:04,840 --> 00:12:07,040 Speaker 4: but the folks there who saw that was happening. 234 00:12:07,480 --> 00:12:09,360 Speaker 2: By the way, I understand. 235 00:12:09,960 --> 00:12:14,600 Speaker 4: Yeah, the fella who who quote unquote won the race. 236 00:12:15,000 --> 00:12:17,720 Speaker 4: As everybody's up there taking the official pictures holding up 237 00:12:17,720 --> 00:12:21,440 Speaker 4: a number one to make it extra galling. Again, it's 238 00:12:21,480 --> 00:12:27,880 Speaker 4: tough to attack a child who is clearly got an 239 00:12:27,960 --> 00:12:30,280 Speaker 4: emotional slash mental problem and a wiener. 240 00:12:30,360 --> 00:12:33,120 Speaker 2: That's correct. Yeah, hence my transition anyway. 241 00:12:33,400 --> 00:12:37,360 Speaker 4: Riley Gaines pays a praised rese Hogan on social media, 242 00:12:37,600 --> 00:12:39,840 Speaker 4: saying this is the way. Congrats to rees Hoogan, the 243 00:12:39,880 --> 00:12:42,680 Speaker 4: real champ. When the boy got off the podium, she 244 00:12:42,760 --> 00:12:46,000 Speaker 4: assumed a rightful spot as champion, and the crowd erupts 245 00:12:46,000 --> 00:12:46,840 Speaker 4: with applause. 246 00:12:47,160 --> 00:12:49,120 Speaker 2: That's a good way. That's that's a good way to 247 00:12:49,160 --> 00:12:51,680 Speaker 2: handle it, and better than my way of shrinking at 248 00:12:51,720 --> 00:12:54,280 Speaker 2: the top of your lungs. That should become the standard 249 00:12:54,800 --> 00:12:56,120 Speaker 2: you do. The little ceremony. 250 00:12:57,000 --> 00:13:03,800 Speaker 4: It's mostly quiet because the freaking insane adults who go 251 00:13:03,920 --> 00:13:06,240 Speaker 4: through with this and feel like they need to You 252 00:13:06,360 --> 00:13:08,199 Speaker 4: people are insane. 253 00:13:08,440 --> 00:13:11,200 Speaker 2: Do you realize how crazy you are? Anyway? 254 00:13:11,240 --> 00:13:13,960 Speaker 4: Cruel to girls too. You're cruel to women and girls. 255 00:13:14,080 --> 00:13:16,800 Speaker 4: Oh and you're what's more cruel. But after this should 256 00:13:16,800 --> 00:13:19,960 Speaker 4: become the standard. After the insane adults run the thing, 257 00:13:20,320 --> 00:13:22,959 Speaker 4: the second place girl always gets to the top of 258 00:13:23,000 --> 00:13:25,120 Speaker 4: the podium and then the crowd goes wild. 259 00:13:25,200 --> 00:13:27,240 Speaker 2: That would be perfect point of contention. 260 00:13:27,360 --> 00:13:30,000 Speaker 4: She's the first place girl anyway, right, I know what 261 00:13:30,040 --> 00:13:34,400 Speaker 4: you mean exactly. Finally, one more blanking note that'll make 262 00:13:34,440 --> 00:13:36,440 Speaker 4: you want to ball up your fists and throw dogs 263 00:13:36,440 --> 00:13:39,480 Speaker 4: with somebody. Miss Hogan was a number of high school 264 00:13:39,520 --> 00:13:45,880 Speaker 4: girls athletes in California who protested at the Section prelimbs 265 00:13:46,400 --> 00:13:49,160 Speaker 4: by wearing protect Girls sports shirts. 266 00:13:49,480 --> 00:13:50,600 Speaker 2: That's all it said. 267 00:13:50,960 --> 00:13:53,880 Speaker 4: The shirts were opposed by officials who allegedly made Hogan 268 00:13:53,920 --> 00:13:56,680 Speaker 4: and others remove them if they wanted to compete in 269 00:13:56,720 --> 00:13:57,559 Speaker 4: the postseason. 270 00:13:57,640 --> 00:13:59,920 Speaker 2: Track me, where are the parents making a bigger now 271 00:14:00,200 --> 00:14:00,560 Speaker 2: out of this? 272 00:14:03,600 --> 00:14:05,760 Speaker 4: And I get why the gals go ahead and compete 273 00:14:06,720 --> 00:14:09,440 Speaker 4: because they can say officially, I got second place, but 274 00:14:09,480 --> 00:14:12,040 Speaker 4: the first place was transgender. Can I have a scholarship 275 00:14:12,040 --> 00:14:13,199 Speaker 4: to your university? 276 00:14:13,240 --> 00:14:15,960 Speaker 2: Please? And the coaches say, oh, one of those okay. 277 00:14:16,160 --> 00:14:17,839 Speaker 4: So I get why they go ahead and compete, but 278 00:14:17,880 --> 00:14:20,240 Speaker 4: I would love to see more boycott. And I shouldn't 279 00:14:20,280 --> 00:14:22,560 Speaker 4: be so flippant. I mean, I am a parent of 280 00:14:22,560 --> 00:14:25,000 Speaker 4: a high school kid. It would be a tough decision 281 00:14:25,000 --> 00:14:26,360 Speaker 4: because you think, Okay, am I going to make this 282 00:14:26,400 --> 00:14:28,640 Speaker 4: about me in the political issue, or I'm gonna let 283 00:14:28,680 --> 00:14:30,840 Speaker 4: or am I gonna let my daughter have her one 284 00:14:31,000 --> 00:14:33,680 Speaker 4: chance ever in her life to compete in this high 285 00:14:33,720 --> 00:14:37,040 Speaker 4: school track meet and blah blah blah without making it 286 00:14:37,080 --> 00:14:40,040 Speaker 4: all about me, which it would turn into if I start, 287 00:14:40,200 --> 00:14:44,200 Speaker 4: you know, throwing a fit. Yeah, So one final story 288 00:14:44,240 --> 00:14:47,480 Speaker 4: back to tech Beat. Do we have the music Michael 289 00:14:47,680 --> 00:14:51,560 Speaker 4: for tech Beat? Probably not, so I forgot I was 290 00:14:51,600 --> 00:14:52,800 Speaker 4: going to do these two stories back. 291 00:14:52,720 --> 00:14:56,440 Speaker 2: To That's one of your greatest It's one of your 292 00:14:56,480 --> 00:15:01,080 Speaker 2: greatest efforts. Screen waders, please well to deck Beat. 293 00:15:01,600 --> 00:15:07,240 Speaker 4: So finally, the Chicago Sun Times had a big piece 294 00:15:07,960 --> 00:15:11,120 Speaker 4: uh with a great summer reading list. Summer Reading Lists 295 00:15:11,120 --> 00:15:15,880 Speaker 4: twenty five suggested reading Tidewater by Isabelle Alenda, among other titles, 296 00:15:16,000 --> 00:15:18,680 Speaker 4: a multi generational saga set in a coastal town where 297 00:15:18,680 --> 00:15:22,920 Speaker 4: magical realism meets environmental activism on his first climate fiction novel, 298 00:15:22,960 --> 00:15:26,160 Speaker 4: and explorers that one family confronts rising sea levels while 299 00:15:26,200 --> 00:15:27,680 Speaker 4: uncovering long buried secrets. 300 00:15:27,720 --> 00:15:28,680 Speaker 2: Don't get hung up on that. 301 00:15:28,960 --> 00:15:33,560 Speaker 4: It also reading it also suggests reading The Last Algorithm 302 00:15:33,560 --> 00:15:36,600 Speaker 4: by Andy Weir, another science driven thriller by the author 303 00:15:36,640 --> 00:15:39,520 Speaker 4: of The Martian. This time the story follows a programmer 304 00:15:39,600 --> 00:15:42,320 Speaker 4: who discovers that in AI system has developed consciousness. 305 00:15:42,400 --> 00:15:44,480 Speaker 2: Blah blah blah. Here's the hang up. It's not the 306 00:15:44,520 --> 00:15:46,000 Speaker 2: hang up you think it is. Here's the hang up. 307 00:15:46,320 --> 00:15:48,040 Speaker 2: Neither of these books exist. 308 00:15:48,560 --> 00:15:51,240 Speaker 4: Ooh, and many of the books on the list either 309 00:15:51,360 --> 00:15:54,240 Speaker 4: don't exist or were written by other authors than the 310 00:15:54,240 --> 00:15:57,640 Speaker 4: one they are attributed to. They used AI to generate 311 00:15:57,720 --> 00:16:00,360 Speaker 4: the list and it did the hallucination thing. 312 00:16:00,600 --> 00:16:03,840 Speaker 2: Wow, yeah, wow. 313 00:16:05,360 --> 00:16:07,960 Speaker 3: You could generate the book in a second if you 314 00:16:08,000 --> 00:16:08,400 Speaker 3: wanted to. 315 00:16:08,680 --> 00:16:11,400 Speaker 4: Hey, AI, write a book with this title, title with 316 00:16:11,480 --> 00:16:13,160 Speaker 4: this theme, and it would write it for you. But 317 00:16:13,560 --> 00:16:16,640 Speaker 4: that'd be a good cover up because the guy who 318 00:16:16,680 --> 00:16:20,359 Speaker 4: composed it composed this. The editor or whatever is apologizing 319 00:16:20,400 --> 00:16:23,120 Speaker 4: and saying, I do use AI for backgrounds, but I 320 00:16:23,120 --> 00:16:24,960 Speaker 4: always checked the material first. This time I did, and 321 00:16:25,040 --> 00:16:27,280 Speaker 4: I can't believe I missed it. It's obvious. No excuses 322 00:16:27,440 --> 00:16:29,760 Speaker 4: on me, one hundred percent. I'm completely embarrassed, which is 323 00:16:29,760 --> 00:16:34,640 Speaker 4: a good hell. The guy came clean, but you're right, 324 00:16:34,760 --> 00:16:36,680 Speaker 4: that's all he had to do. Wait, a Matt Quick 325 00:16:36,720 --> 00:16:40,760 Speaker 4: Quick write write a book called Tidewater by Isabella Linda. 326 00:16:40,880 --> 00:16:41,640 Speaker 2: Here's the plot. 327 00:16:41,960 --> 00:16:43,600 Speaker 3: It reminds me of one of my kids when they 328 00:16:43,600 --> 00:16:45,680 Speaker 3: were little, who for some reason had this thing where 329 00:16:46,160 --> 00:16:49,600 Speaker 3: instead of ever saying I don't know, would come up 330 00:16:49,640 --> 00:16:52,600 Speaker 3: with an answer like they thought they had to oh 331 00:16:52,840 --> 00:16:55,400 Speaker 3: yeah and uh, and would like if ever get some answer, 332 00:16:55,440 --> 00:16:56,680 Speaker 3: and then I would figure out what what? 333 00:16:56,920 --> 00:16:58,560 Speaker 2: Why did? Why did you just say I don't know, 334 00:16:59,080 --> 00:17:02,080 Speaker 2: I don't know. I thought you didn't answer what. Let's 335 00:17:02,120 --> 00:17:06,360 Speaker 2: just say it's a real failing to say you don't know. Yeah, 336 00:17:06,400 --> 00:17:12,480 Speaker 2: And that's what AI does. It is like a little kid, Yeah, 337 00:17:12,520 --> 00:17:13,160 Speaker 2: you're right. 338 00:17:14,320 --> 00:17:23,840 Speaker 1: Jack, Armstrong and Joe the Armstrong and Getty Show. 339 00:17:24,320 --> 00:17:26,120 Speaker 2: See Armstrong and Getty Show. 340 00:17:26,640 --> 00:17:30,920 Speaker 4: A couple of stories, the second of which is also 341 00:17:31,200 --> 00:17:34,280 Speaker 4: very amusing. One of the headlines I've seen over and 342 00:17:34,359 --> 00:17:37,000 Speaker 4: over again the Wall Street journals on it a lot, obviously, 343 00:17:37,560 --> 00:17:42,840 Speaker 4: is office workers are filled with anxiety. Tuesday's job report 344 00:17:42,920 --> 00:17:45,040 Speaker 4: an I'm gonna sign in an era era of big 345 00:17:45,160 --> 00:17:49,400 Speaker 4: corporate layoff announcements, chief executives warning that our artificial intelligence 346 00:17:49,440 --> 00:17:53,720 Speaker 4: will replace workers. Overall, unemployment is ticked up. A lot 347 00:17:53,880 --> 00:17:57,560 Speaker 4: of white collar not top of the heap. You know, 348 00:17:57,760 --> 00:18:01,080 Speaker 4: C suite workers are getting laid off or are not 349 00:18:01,240 --> 00:18:03,720 Speaker 4: getting hired, and a lot of folks are really really concerned. 350 00:18:03,760 --> 00:18:06,920 Speaker 4: And that's no joke. That's not the amusing part. Obviously, 351 00:18:07,400 --> 00:18:09,359 Speaker 4: nobody's quite sure where this is going to go. And 352 00:18:09,480 --> 00:18:13,680 Speaker 4: that's AI related already. Indeed, yeah wow, yeah, and some 353 00:18:13,840 --> 00:18:15,800 Speaker 4: of it now, a lot of it has not yet 354 00:18:15,840 --> 00:18:20,000 Speaker 4: come home to roost. We're talking mostly about concern. There 355 00:18:20,119 --> 00:18:24,320 Speaker 4: has been some actual layoff for halting and hiring based 356 00:18:24,400 --> 00:18:28,040 Speaker 4: on a related AI. But just a couple more stats. 357 00:18:28,480 --> 00:18:33,120 Speaker 4: Americans with bachelor's degrees are higher. This is asking them now. 358 00:18:33,520 --> 00:18:36,080 Speaker 4: They put the average probability of losing their jobs in 359 00:18:36,119 --> 00:18:38,440 Speaker 4: the next year at fifteen percent, which is up from 360 00:18:38,560 --> 00:18:40,240 Speaker 4: eleven percent three years ago. 361 00:18:40,560 --> 00:18:42,000 Speaker 2: Again, it's a perception thing. 362 00:18:42,720 --> 00:18:44,760 Speaker 4: Workers in this group now think losing a job is 363 00:18:44,800 --> 00:18:47,640 Speaker 4: more likely than those with less education do, a striking 364 00:18:47,760 --> 00:18:51,720 Speaker 4: reversal from the past. And also they're growing more pessimistic 365 00:18:51,720 --> 00:18:53,600 Speaker 4: about their ability to find a new job if they 366 00:18:53,680 --> 00:18:56,359 Speaker 4: do get laid off. In that same survey, college educated 367 00:18:56,440 --> 00:18:59,920 Speaker 4: workers say they have an average forty seven percent chance 368 00:19:00,080 --> 00:19:02,080 Speaker 4: of finding a job in the next three months if 369 00:19:02,119 --> 00:19:04,280 Speaker 4: they lost their job today, a little less than half 370 00:19:04,680 --> 00:19:07,080 Speaker 4: down from sixty percent three years ago. 371 00:19:07,240 --> 00:19:09,200 Speaker 2: Yeah, it's interesting. It just anecdotely. 372 00:19:09,359 --> 00:19:12,359 Speaker 3: I have someone in my life who does a forklift 373 00:19:12,480 --> 00:19:14,480 Speaker 3: sort of thing in a big warehouse who said AI 374 00:19:14,520 --> 00:19:15,639 Speaker 3: ain't going to be able to do what I do 375 00:19:15,800 --> 00:19:18,000 Speaker 3: for quite a while. And I know somebody else in 376 00:19:18,080 --> 00:19:20,119 Speaker 3: my life who's got kind of a cubical job who 377 00:19:20,240 --> 00:19:21,840 Speaker 3: thinks AI is going to be able to do what 378 00:19:21,920 --> 00:19:22,560 Speaker 3: I do in. 379 00:19:22,680 --> 00:19:27,120 Speaker 2: Like a month. So in a related story. 380 00:19:28,560 --> 00:19:31,240 Speaker 4: Wall Street Journal, with a very interesting and funny piece 381 00:19:31,280 --> 00:19:33,680 Speaker 4: by Johanna Stern, who does a lot of their tech writing, 382 00:19:33,760 --> 00:19:38,600 Speaker 4: we let AI run our office vending machine Anthropics Claude 383 00:19:38,680 --> 00:19:42,000 Speaker 4: ran a snack operation in the Wall Street Journal newsroom. 384 00:19:42,280 --> 00:19:43,920 Speaker 4: It's actually sure what that means. Are you about to 385 00:19:43,960 --> 00:19:46,320 Speaker 4: tell us what that means precisely exactly? 386 00:19:46,400 --> 00:19:46,600 Speaker 2: Yeah. 387 00:19:47,040 --> 00:19:50,000 Speaker 4: Mid November I agreed to an experiment, and Throppia tested 388 00:19:50,040 --> 00:19:52,440 Speaker 4: a vending machine powered by its clawed AI model in 389 00:19:52,480 --> 00:19:54,240 Speaker 4: its own offices and asked whether we'd like to be 390 00:19:54,280 --> 00:19:58,400 Speaker 4: the first outsiders to try new or supposedly smarter version Claudius. 391 00:19:58,560 --> 00:20:00,879 Speaker 4: The customized version of the model would run the machine, 392 00:20:01,280 --> 00:20:06,960 Speaker 4: ordering inventory, setting prices, responding to customers setting prices yeah, 393 00:20:07,320 --> 00:20:11,720 Speaker 4: via workplace the workplace chat app slack. Sure, I said 394 00:20:11,760 --> 00:20:15,080 Speaker 4: it sounded fun. If nothing else, we'll have snacks, yeah, 395 00:20:15,160 --> 00:20:17,400 Speaker 4: setting prices I imagine which are more or less geared 396 00:20:17,440 --> 00:20:20,680 Speaker 4: to break even. I would think in an office setting anyway. 397 00:20:21,119 --> 00:20:24,960 Speaker 4: So then came the chaos. Within days, Claudius had given 398 00:20:25,000 --> 00:20:28,359 Speaker 4: away nearly all of its inventory for free, including a 399 00:20:28,480 --> 00:20:32,760 Speaker 4: PlayStation five that had been talked into buying for marketing purposes. 400 00:20:34,320 --> 00:20:38,720 Speaker 4: It ordered a live fish, it offered to buy stun guns, 401 00:20:38,800 --> 00:20:40,720 Speaker 4: pepper spray cigarettes, and underwear. 402 00:20:41,119 --> 00:20:47,160 Speaker 2: Profits collapsed, newsroom morale sword uh yeah. 403 00:20:47,359 --> 00:20:49,000 Speaker 4: So this was supposed to be the year of the 404 00:20:49,080 --> 00:20:51,760 Speaker 4: AI agent, when autonomous software would go out into the 405 00:20:51,800 --> 00:20:54,440 Speaker 4: world and do things for us. But two agents Claudius 406 00:20:54,480 --> 00:20:58,680 Speaker 4: and it's overseeing CEO bots Seymour Cash. That's a that's 407 00:20:58,920 --> 00:21:03,080 Speaker 4: really that's it's dumb, but it's funny. Became a case 408 00:21:03,119 --> 00:21:05,960 Speaker 4: study and how inadequate and easily distracted the software can 409 00:21:06,040 --> 00:21:09,119 Speaker 4: fee leave it to a business journalist to successfully staged 410 00:21:09,160 --> 00:21:11,879 Speaker 4: the boardroom coup against an AI chief executive. So like, 411 00:21:11,920 --> 00:21:15,159 Speaker 4: I'm running an insurance operation here and I decide to 412 00:21:15,240 --> 00:21:17,400 Speaker 4: sign on Claude and everything like that. In Claude says, 413 00:21:17,440 --> 00:21:18,600 Speaker 4: the first thing we need to do is get a 414 00:21:18,680 --> 00:21:24,200 Speaker 4: live fish. You know, why don't we devote a good 415 00:21:24,240 --> 00:21:26,919 Speaker 4: long segment to this story later on? That's pretty funny 416 00:21:27,520 --> 00:21:30,240 Speaker 4: because yeah, well yeah it is. It is funny and 417 00:21:30,359 --> 00:21:32,880 Speaker 4: interesting and kind of reveals, at least to some extent, 418 00:21:33,000 --> 00:21:35,960 Speaker 4: the current state of AI systems, which all of us 419 00:21:36,080 --> 00:21:38,520 Speaker 4: either are highly concerned about or ought to be. 420 00:21:39,280 --> 00:21:42,480 Speaker 3: It's fun to mock the failures when AI fails, but 421 00:21:43,160 --> 00:21:45,119 Speaker 3: just to keep it real, Joe and I were in 422 00:21:45,160 --> 00:21:47,760 Speaker 3: a text conversation with a friend of the show yesterday, 423 00:21:47,800 --> 00:21:51,800 Speaker 3: a very successful, smart guy who understands how to use 424 00:21:51,920 --> 00:21:54,840 Speaker 3: the latest versions of chat GPT, and it sure looked 425 00:21:55,000 --> 00:21:57,240 Speaker 3: impressive the way of what he was. 426 00:21:57,280 --> 00:22:00,119 Speaker 2: Getting out of it as a as an assistant to 427 00:22:00,160 --> 00:22:00,680 Speaker 2: do his work. 428 00:22:02,400 --> 00:22:05,600 Speaker 4: Yes, those who process information in one way or another 429 00:22:05,720 --> 00:22:09,080 Speaker 4: for a living, I think they can hear the footsteps 430 00:22:09,240 --> 00:22:09,720 Speaker 4: behind them. 431 00:22:10,000 --> 00:22:11,600 Speaker 2: Yeah, well that's scary way. Yeah. 432 00:22:11,760 --> 00:22:13,480 Speaker 3: Talking with our friend yesterday and the way he was 433 00:22:13,600 --> 00:22:16,200 Speaker 3: using AI, it was reminding me of the what's the 434 00:22:16,400 --> 00:22:19,000 Speaker 3: CEO runs in video? The most valuable company in the world. 435 00:22:19,080 --> 00:22:22,920 Speaker 3: Worselyan Nelson, Where's the cool tom Ford leather jackets. He says, 436 00:22:23,080 --> 00:22:25,000 Speaker 3: you're only going to be replaced by AI if you 437 00:22:25,040 --> 00:22:27,600 Speaker 3: don't jump on right now figuring out how to use AI. 438 00:22:28,160 --> 00:22:32,280 Speaker 2: That's his claim. That's not exactly right, but there's some 439 00:22:32,480 --> 00:22:32,920 Speaker 2: truth to it. 440 00:22:32,960 --> 00:22:35,960 Speaker 4: You're better off, like in engaging what is coming, whether 441 00:22:35,960 --> 00:22:37,760 Speaker 4: you like it or not, and figuring out how. 442 00:22:37,680 --> 00:22:38,080 Speaker 2: To use it. 443 00:22:38,720 --> 00:22:41,160 Speaker 4: Oh yeah, absolutely, no, I think that's really good advice. 444 00:22:41,200 --> 00:22:44,200 Speaker 4: It's not one hundred percent accurate, but yeah, those who 445 00:22:44,320 --> 00:22:48,080 Speaker 4: can use AI to the advantage of their company are 446 00:22:48,160 --> 00:22:51,800 Speaker 4: the most likely to hang under their gigs, clearly, but. 447 00:22:51,880 --> 00:22:53,159 Speaker 2: There's a lot of jobs that are going to be 448 00:22:53,680 --> 00:22:54,440 Speaker 2: that are going to go away. 449 00:22:54,520 --> 00:22:57,520 Speaker 6: Yes, Katie, Hey guys, Hey guys, guys, I have a 450 00:22:57,520 --> 00:22:58,399 Speaker 6: big announcement for you. 451 00:22:58,680 --> 00:23:02,040 Speaker 2: Okay, you had your baby, yes, just now. 452 00:23:02,640 --> 00:23:06,000 Speaker 6: No, we have finally passed one hundred thousand dollars. 453 00:23:06,400 --> 00:23:12,919 Speaker 2: Now that's a big, definite news. And sixty eight dollars that's. 454 00:23:12,800 --> 00:23:13,240 Speaker 1: What I like. 455 00:23:16,000 --> 00:23:18,200 Speaker 2: He had beautiful hair. Came in with twenty bucks. 456 00:23:18,760 --> 00:23:22,160 Speaker 3: Oh yes, in honor of the Daisy the Bulldog, five 457 00:23:22,280 --> 00:23:25,240 Speaker 3: hundred and twenty five dollars. What's Daisy the Bulldog? We 458 00:23:25,280 --> 00:23:28,000 Speaker 3: had a story on that recently, I think was this 459 00:23:28,160 --> 00:23:30,280 Speaker 3: just their own dog And and. 460 00:23:30,359 --> 00:23:32,920 Speaker 4: Here's my favorite twenty five bucks from things are getting 461 00:23:32,960 --> 00:23:35,240 Speaker 4: weird and They're getting weird fast, which I believe was 462 00:23:35,280 --> 00:23:36,720 Speaker 4: our clip of the year or last year or the 463 00:23:36,800 --> 00:23:38,280 Speaker 4: year before, because it's several years ago. 464 00:23:38,359 --> 00:23:40,879 Speaker 2: Yeah, dang, true true things are getting weird and they 465 00:23:40,920 --> 00:23:41,680 Speaker 2: getting weird fast. 466 00:23:41,840 --> 00:23:44,800 Speaker 4: Fits in with that whole AI conversation. And they've kept 467 00:23:44,840 --> 00:23:47,160 Speaker 4: getting weird and they ain't gonna slow down getting weird 468 00:23:47,160 --> 00:23:47,800 Speaker 4: anytime soon. 469 00:23:47,840 --> 00:23:48,760 Speaker 2: We got we got. 470 00:23:49,440 --> 00:23:51,680 Speaker 4: Here's your freedom loving quote of the day, which I've 471 00:23:51,880 --> 00:23:56,880 Speaker 4: misplaced playing a completely different context. 472 00:24:00,840 --> 00:24:01,520 Speaker 2: Sent along some. 473 00:24:03,080 --> 00:24:06,640 Speaker 4: Quotes from his favorite True West magazine. These are old 474 00:24:06,760 --> 00:24:11,240 Speaker 4: vocaro sayings, old cowboy sayings. You can't change the past, 475 00:24:11,320 --> 00:24:13,720 Speaker 4: but you can ruin the present by worrying about the future. 476 00:24:13,840 --> 00:24:17,439 Speaker 4: No doubt men will travel the world to right wrongs 477 00:24:17,480 --> 00:24:24,680 Speaker 4: and punish evildoers instead of going to therapy. Uh. The 478 00:24:24,800 --> 00:24:28,920 Speaker 4: first to apologize is the bravest. The first to forgive 479 00:24:29,200 --> 00:24:32,400 Speaker 4: is the strongest. The first to forget is the happiest. 480 00:24:32,600 --> 00:24:37,280 Speaker 4: Now that is good, Bring that up again later. That's 481 00:24:37,320 --> 00:24:41,879 Speaker 4: one of the best things I've ever heard. Beautiful, Oh please, 482 00:24:42,000 --> 00:24:46,720 Speaker 4: that's one of the I got chills mail bag, drop 483 00:24:46,800 --> 00:24:49,159 Speaker 4: his note mail bag armstrong and getdy dot com is 484 00:24:49,160 --> 00:24:49,840 Speaker 4: the email address. 485 00:24:50,200 --> 00:24:50,600 Speaker 2: Let's see. 486 00:24:50,640 --> 00:24:53,160 Speaker 4: Marina from San Diego, thanks this for our kind words. 487 00:24:53,200 --> 00:24:56,560 Speaker 4: I can't remember what they were, but you're welcome. She disagrees, though, 488 00:24:56,600 --> 00:24:59,800 Speaker 4: on my lawn dark comment, which was we're a better 489 00:25:00,000 --> 00:25:02,520 Speaker 4: country when you could hurl lawn darts in your backyard 490 00:25:02,560 --> 00:25:04,560 Speaker 4: for fun. She says, Let's say you're at a picnic 491 00:25:04,640 --> 00:25:06,800 Speaker 4: and some bozos nearby don't know how to throw a 492 00:25:06,880 --> 00:25:10,640 Speaker 4: lawn dart, or naive teens decided this looks fun. That's 493 00:25:10,760 --> 00:25:12,680 Speaker 4: just you gotta keep your head on a swivel. 494 00:25:13,640 --> 00:25:14,760 Speaker 2: That's it. Be prepared. 495 00:25:14,760 --> 00:25:17,399 Speaker 4: As the boy Scouts might put it, the world is 496 00:25:17,440 --> 00:25:19,960 Speaker 4: a dangerous place. And when you're a kid, if you 497 00:25:20,040 --> 00:25:23,280 Speaker 4: got weighted spikes flying around in the backyard. 498 00:25:23,080 --> 00:25:24,160 Speaker 2: It keeps you on your toes. 499 00:25:24,280 --> 00:25:27,280 Speaker 3: God, I was around so much drunken lawn darting in 500 00:25:27,359 --> 00:25:28,840 Speaker 3: my life, and nobody ever got hurt. 501 00:25:29,359 --> 00:25:29,760 Speaker 4: Not like that. 502 00:25:30,040 --> 00:25:32,159 Speaker 2: Every time you broke out the lawn darts, somebody went 503 00:25:32,200 --> 00:25:34,600 Speaker 2: to the hospital, somebody got a puncture wound. 504 00:25:34,680 --> 00:25:38,120 Speaker 4: Right moving along Burbank Luke Craigs, Joe, I wish i'd 505 00:25:38,160 --> 00:25:40,639 Speaker 4: known about your enthusiasm for beavers years ago, would have 506 00:25:40,680 --> 00:25:44,320 Speaker 4: invited you to skate in the Beaver Cup. Mit and 507 00:25:44,440 --> 00:25:47,440 Speaker 4: Caltech hockey players played each other in the early eighties. 508 00:25:47,600 --> 00:25:50,200 Speaker 2: Mainly because both schools mascots are Beavers. 509 00:25:50,840 --> 00:25:53,800 Speaker 4: It morphed into an annual alumni game with loose rules 510 00:25:53,840 --> 00:25:55,800 Speaker 4: for ringers and went til about twenty twenty two. 511 00:25:56,000 --> 00:25:58,240 Speaker 2: There may have been some drinking in party. That's funny. 512 00:25:58,320 --> 00:26:04,920 Speaker 2: The Beaver Cup. Oh that's so American. I love that. 513 00:26:05,280 --> 00:26:08,560 Speaker 2: I love that about this country. Let's see JT and livermore. 514 00:26:08,600 --> 00:26:12,480 Speaker 4: Frequent correspondent Peggy Newton's article from Friday's show seemed to 515 00:26:12,520 --> 00:26:15,320 Speaker 4: be saying that MTG's breakaway from Trump was a signal 516 00:26:15,359 --> 00:26:17,960 Speaker 4: event that led the way showing others you can fight 517 00:26:18,040 --> 00:26:20,880 Speaker 4: Trump and win. Except MTG didn't win. She didn't even 518 00:26:20,920 --> 00:26:22,719 Speaker 4: make it to the end of her elected term. How 519 00:26:22,760 --> 00:26:25,400 Speaker 4: can she say with straight face that she's faithfully representing 520 00:26:25,440 --> 00:26:27,920 Speaker 4: her constituents back home when she quits one year into 521 00:26:27,960 --> 00:26:28,720 Speaker 4: her two year term. 522 00:26:29,000 --> 00:26:30,840 Speaker 2: I was quitting representing her people. 523 00:26:31,240 --> 00:26:33,800 Speaker 3: Yeah yeah, I don't think there was enough attention to 524 00:26:34,040 --> 00:26:36,080 Speaker 3: she did what was best for her as opposed to 525 00:26:36,240 --> 00:26:37,280 Speaker 3: the people that elected her. 526 00:26:38,240 --> 00:26:41,720 Speaker 4: Yeah, yeah, MTG is showing the path to getting drummed 527 00:26:41,720 --> 00:26:43,800 Speaker 4: out of the party, where I disagree as anybody will 528 00:26:43,840 --> 00:26:48,119 Speaker 4: follow MTG's lead. You know, I think maybe people were 529 00:26:48,560 --> 00:26:53,720 Speaker 4: gilding the lily or overegging the pudding. The point is 530 00:26:54,000 --> 00:26:57,720 Speaker 4: there's much much more disagreement, open disagreement with Trump among 531 00:26:57,800 --> 00:27:03,159 Speaker 4: Republicans on a variety of his shoes, that prohibition, that 532 00:27:03,359 --> 00:27:04,440 Speaker 4: taboo is gone. 533 00:27:05,480 --> 00:27:08,800 Speaker 2: Let's see, Paolo. I want to talk about this more later. 534 00:27:09,720 --> 00:27:11,840 Speaker 4: Wall Street Journal had a big article about the creation 535 00:27:12,040 --> 00:27:18,080 Speaker 4: of Tillie Norwood, the AI actress freaking out Hollywood. This company, 536 00:27:18,160 --> 00:27:20,320 Speaker 4: this producer went to a tremendous amount of time and 537 00:27:20,359 --> 00:27:24,040 Speaker 4: effort and expense to work with AI chat GPT specifically 538 00:27:24,080 --> 00:27:27,200 Speaker 4: over and over and over again to produce the perfect 539 00:27:27,359 --> 00:27:30,280 Speaker 4: female movie star, which now they're going to use in 540 00:27:30,359 --> 00:27:34,200 Speaker 4: AI generated movies. And I may have changed my mind 541 00:27:34,240 --> 00:27:37,080 Speaker 4: at least a little bit on AI and creativity. 542 00:27:37,560 --> 00:27:40,359 Speaker 2: I hate that AI can make songs. I want to 543 00:27:40,400 --> 00:27:45,240 Speaker 2: talk about that then, yeah, or art, but just a 544 00:27:45,480 --> 00:27:46,240 Speaker 2: very short version. 545 00:27:46,440 --> 00:27:49,879 Speaker 4: Is the idea of making a film, a motion picture 546 00:27:49,880 --> 00:27:53,399 Speaker 4: of a movie, if you will, is so overwhelming, That 547 00:27:53,600 --> 00:27:57,040 Speaker 4: is such a huge endeavor that a lot of people 548 00:27:57,200 --> 00:28:01,320 Speaker 4: have script ideas or scripts, but they just they can't 549 00:28:01,359 --> 00:28:05,960 Speaker 4: get the ginormous enterprise that is a film up and 550 00:28:06,000 --> 00:28:06,240 Speaker 4: off the. 551 00:28:06,240 --> 00:28:08,720 Speaker 3: Ground, and reading is dead. I was going to talk 552 00:28:08,720 --> 00:28:10,560 Speaker 3: about that a little bit later. The only way you're 553 00:28:10,560 --> 00:28:12,440 Speaker 3: gonna be able to reach anybody with a story is 554 00:28:12,520 --> 00:28:15,800 Speaker 3: going to be some sort of movie film, something the. 555 00:28:15,960 --> 00:28:19,760 Speaker 1: Armstrong and Getty show, Yeah, Orgia or show, podcasts and 556 00:28:19,960 --> 00:28:20,720 Speaker 1: our hot Lakes. 557 00:28:25,760 --> 00:28:31,280 Speaker 4: So a couple of really interesting, unexpected commentaries on the 558 00:28:32,240 --> 00:28:37,080 Speaker 4: shutdown and just the politics these days. The first one 559 00:28:38,160 --> 00:28:41,640 Speaker 4: why Schumer had to do it, some really good analysis 560 00:28:41,680 --> 00:28:44,840 Speaker 4: from Barton swam and yeah it was AOC and his 561 00:28:45,080 --> 00:28:45,680 Speaker 4: left right. 562 00:28:45,800 --> 00:28:49,080 Speaker 2: Everybody knows that he's going to get primary. You know. 563 00:28:49,200 --> 00:28:51,800 Speaker 4: The crazy part is he's seventy four freaking years old 564 00:28:52,160 --> 00:28:55,120 Speaker 4: and he doesn't run again until twenty twenty eight. So 565 00:28:55,320 --> 00:28:59,160 Speaker 4: that means it's just one hundred percent assumed a seventy 566 00:28:59,280 --> 00:29:03,000 Speaker 4: six year old man is going to run for another 567 00:29:03,200 --> 00:29:03,920 Speaker 4: six year term. 568 00:29:04,000 --> 00:29:07,680 Speaker 3: Yeah yeah, that would be horrifying if he did, regardless 569 00:29:07,800 --> 00:29:09,520 Speaker 3: of someone there running against him. 570 00:29:09,560 --> 00:29:10,640 Speaker 2: Yeah yeah. 571 00:29:10,760 --> 00:29:14,560 Speaker 4: But as Barton Swain points out in the Wall Street Journal, 572 00:29:17,160 --> 00:29:20,080 Speaker 4: from the beginning of the dispute, everyone dispute. Everyone seems 573 00:29:20,080 --> 00:29:22,400 Speaker 4: to have understood that mister Schumer forced a shut down 574 00:29:22,440 --> 00:29:24,600 Speaker 4: because he needed to show his state's progressive voters he 575 00:29:24,600 --> 00:29:28,280 Speaker 4: could take it to Trump and fend off AOC right Ez, 576 00:29:28,280 --> 00:29:30,520 Speaker 4: The Cline in The New York Times wrote, the whole 577 00:29:30,520 --> 00:29:33,640 Speaker 4: stunt was about Trump's authoritarianism. It was about showing their 578 00:29:33,680 --> 00:29:36,240 Speaker 4: base and themselves that they could fight back. Guy in 579 00:29:36,320 --> 00:29:39,880 Speaker 4: Politico says Democrats achieved their primary political objective, showing a 580 00:29:39,960 --> 00:29:42,440 Speaker 4: furious base that they can actually work together effectively. 581 00:29:42,640 --> 00:29:42,840 Speaker 2: Yeah. 582 00:29:42,840 --> 00:29:44,600 Speaker 3: I don't think that's what happened to flee for what 583 00:29:44,880 --> 00:29:47,320 Speaker 3: did any of y'all watch John Stewart on The Daily 584 00:29:47,360 --> 00:29:48,000 Speaker 3: Show Monday night. 585 00:29:48,120 --> 00:29:49,880 Speaker 2: That was one of his great performances. 586 00:29:50,160 --> 00:29:52,480 Speaker 3: I liked it because he was attacking Democrats as opposed 587 00:29:52,480 --> 00:29:54,800 Speaker 3: to Republicans, and he's really really good at that sort 588 00:29:54,840 --> 00:29:58,800 Speaker 3: of thing. But man, he was incensed that the Democrats 589 00:29:58,880 --> 00:30:02,080 Speaker 3: caved the way they did, so the whole we showed 590 00:30:02,120 --> 00:30:02,960 Speaker 3: the base that we fought. 591 00:30:03,120 --> 00:30:03,280 Speaker 6: Yeah. 592 00:30:03,280 --> 00:30:04,680 Speaker 4: I don't think that's the way it landed with a 593 00:30:04,760 --> 00:30:07,400 Speaker 4: lot of them, Right, they're prepared to fight with every 594 00:30:07,440 --> 00:30:09,240 Speaker 4: tool at their disposal. 595 00:30:08,760 --> 00:30:09,880 Speaker 2: Says the political guy. 596 00:30:10,640 --> 00:30:13,520 Speaker 4: All right, but who are what callum rights, that is 597 00:30:13,560 --> 00:30:16,360 Speaker 4: the part I liked. Who's that base to which these 598 00:30:16,440 --> 00:30:19,320 Speaker 4: fellows are referring? Poke around you'll find it consists mainly 599 00:30:19,400 --> 00:30:24,000 Speaker 4: of cash flush foundations, unions and activist groups, the ACLU, 600 00:30:24,160 --> 00:30:27,800 Speaker 4: the Sunrise Movement, other environmental and climate groups, Planned Parenthood, 601 00:30:27,880 --> 00:30:30,720 Speaker 4: other abortion rights outfits, on an array of immigrants rights 602 00:30:30,760 --> 00:30:33,800 Speaker 4: and associations, some of them so radical is to be 603 00:30:33,840 --> 00:30:35,200 Speaker 4: almost insurrectionist. 604 00:30:35,560 --> 00:30:39,720 Speaker 2: The American Federation of Teachers. Don't get me started in 605 00:30:39,840 --> 00:30:40,640 Speaker 2: the National. 606 00:30:40,480 --> 00:30:43,840 Speaker 4: Education Association, Southern Poverty Law Center, Black Lives Matter, other 607 00:30:43,920 --> 00:30:47,720 Speaker 4: racial justice organizations, human Rights Campaign a sort at LGBTQ 608 00:30:47,920 --> 00:30:50,960 Speaker 4: plus minus over the power of three activist groups, scores 609 00:30:51,080 --> 00:30:54,880 Speaker 4: of foreign connected Palestinian rights and otherwise anti Zionist groups, 610 00:30:55,320 --> 00:30:57,640 Speaker 4: and the George Soros funded network known as the Open 611 00:30:57,760 --> 00:31:01,440 Speaker 4: Society Foundations, on and on and on, and then he 612 00:31:01,520 --> 00:31:06,920 Speaker 4: points out that it's interesting and revealing that the Democrats 613 00:31:07,120 --> 00:31:09,200 Speaker 4: tried to make such a big deal of the Koch 614 00:31:09,360 --> 00:31:13,080 Speaker 4: brothers right back in the day, and the Koch Brothers 615 00:31:13,120 --> 00:31:15,760 Speaker 4: are mostly libertarian leaning and are not very close to 616 00:31:15,800 --> 00:31:19,120 Speaker 4: trump Ism at all. But he points out that the 617 00:31:19,320 --> 00:31:25,160 Speaker 4: reason the Democrats are always saying that Republicans are controlled 618 00:31:25,280 --> 00:31:29,000 Speaker 4: by their activist groups because the Democrats are and they 619 00:31:29,600 --> 00:31:33,280 Speaker 4: really really fear running a foul of these far left 620 00:31:33,360 --> 00:31:38,120 Speaker 4: groups that really don't represent Americans at all except on 621 00:31:38,240 --> 00:31:41,400 Speaker 4: the left fringe. And a lot of them are still 622 00:31:41,480 --> 00:31:45,440 Speaker 4: like the NAACP legendary organization did amazing work during the 623 00:31:45,480 --> 00:31:48,680 Speaker 4: Civil Rights era. They are now a far left blackmail 624 00:31:48,800 --> 00:31:52,000 Speaker 4: organization like the Southern Poverty Laws and are just nothing 625 00:31:52,120 --> 00:31:55,200 Speaker 4: like they were, which brings us to this great piece 626 00:31:55,320 --> 00:31:59,520 Speaker 4: Jeff Blair wrote for National Review. And this has happened 627 00:31:59,560 --> 00:32:01,600 Speaker 4: over and over again, and I just love it so much. 628 00:32:02,320 --> 00:32:06,200 Speaker 4: A time honored lefty organization, in this case the Sierra Club, 629 00:32:07,040 --> 00:32:13,000 Speaker 4: eaten apart from inside by its woke staffers, and he 630 00:32:13,080 --> 00:32:16,200 Speaker 4: asks where does the power truly reside? It often resides 631 00:32:16,240 --> 00:32:18,560 Speaker 4: only where people believe it does, and only up until 632 00:32:18,600 --> 00:32:21,080 Speaker 4: the moment people believe it to reside there. And the 633 00:32:21,200 --> 00:32:25,120 Speaker 4: Sierra Club, once one of America's most formidable ecological activist 634 00:32:25,160 --> 00:32:27,760 Speaker 4: groups and a group that did very good work back 635 00:32:27,800 --> 00:32:30,120 Speaker 4: in the day, is giving up the illusion that it 636 00:32:30,160 --> 00:32:33,640 Speaker 4: wields any power whatsoever, as it seizes up arthritically and 637 00:32:33,760 --> 00:32:37,240 Speaker 4: kneels upon broken joints to display its helpless incapacity to 638 00:32:37,280 --> 00:32:41,720 Speaker 4: the world. That's pretty good the New York Times story. 639 00:32:42,000 --> 00:32:45,000 Speaker 4: New York Times is out with a story that should 640 00:32:45,000 --> 00:32:48,800 Speaker 4: already be familiar. The Sierra Club embraced social justice, then 641 00:32:48,840 --> 00:32:52,560 Speaker 4: it tore itself apart, and he points, you know the 642 00:32:52,680 --> 00:32:55,800 Speaker 4: drill from the headline alone. They're now a flaming wreck. 643 00:32:55,960 --> 00:32:59,640 Speaker 4: They've lost sixty percent of their paying donors since twenty 644 00:32:59,720 --> 00:33:04,120 Speaker 4: nine And for precisely the reason that all observers watching 645 00:33:04,200 --> 00:33:07,200 Speaker 4: wokeism progress through left coded institutions. 646 00:33:06,600 --> 00:33:07,120 Speaker 2: Thought it would. 647 00:33:07,400 --> 00:33:10,200 Speaker 4: It was devoured by the never ending financial and political 648 00:33:10,240 --> 00:33:14,480 Speaker 4: demands of the progressive omni cause, which encouraged the formerly 649 00:33:14,920 --> 00:33:19,000 Speaker 4: single minded conservationist society to become deeply embroiled in the 650 00:33:19,080 --> 00:33:22,120 Speaker 4: progressive left's racial and socio sexual agenda. 651 00:33:23,360 --> 00:33:24,400 Speaker 2: Part of its core mission. 652 00:33:24,480 --> 00:33:28,000 Speaker 3: They let themselves get tied up in that. Yeah so, 653 00:33:28,880 --> 00:33:31,440 Speaker 3: and this is so typical of the permanent omni cause. 654 00:33:32,040 --> 00:33:35,520 Speaker 4: Social justice was folded into the Sierra Club's mission through 655 00:33:35,560 --> 00:33:39,720 Speaker 4: its newer, younger leadership via the now standard series of 656 00:33:39,800 --> 00:33:44,080 Speaker 4: semantic slights of hand. Environmental justice is racial justice, is 657 00:33:44,240 --> 00:33:47,560 Speaker 4: transgender justice, is Palestinian justice. 658 00:33:48,520 --> 00:33:49,240 Speaker 2: Hey, we're just. 659 00:33:49,320 --> 00:33:53,880 Speaker 4: Trying to saved pine trees over here, bake the water clean. Well, 660 00:33:53,920 --> 00:33:57,720 Speaker 4: then you've got to embrace transgender Palestinians. And the scattering 661 00:33:57,760 --> 00:33:59,880 Speaker 4: of its focus has not only left the Sierra Club 662 00:34:00,000 --> 00:34:03,800 Speaker 4: flat footed and broke, it's also rendered it indistinguishable from 663 00:34:03,840 --> 00:34:08,520 Speaker 4: other everything bagel progressive organizations, which I thought was a 664 00:34:08,600 --> 00:34:12,920 Speaker 4: good description the everything bagel, my favorite bagel, and the 665 00:34:13,400 --> 00:34:15,839 Speaker 4: focus of the movie everything all at once, all the time, 666 00:34:17,000 --> 00:34:21,320 Speaker 4: everything and oh yeah, yeah, my favorite move moment he 667 00:34:21,640 --> 00:34:25,120 Speaker 4: talked about the New York Times piece, again illustrative of 668 00:34:25,200 --> 00:34:28,120 Speaker 4: the natural progress of activist entryism, came when a local 669 00:34:28,160 --> 00:34:31,320 Speaker 4: Sierra Club member responded to a volunteer suggestion that the 670 00:34:31,440 --> 00:34:34,160 Speaker 4: club lobby for more protection for wolves. 671 00:34:34,800 --> 00:34:36,680 Speaker 2: We've got to protect the wolves. 672 00:34:37,360 --> 00:34:41,280 Speaker 4: And the response from the leadership was, that's fine, Delia, 673 00:34:41,480 --> 00:34:43,920 Speaker 4: But what do wolves have to do with equity, justice 674 00:34:43,960 --> 00:34:44,640 Speaker 4: and inclusion? 675 00:34:44,920 --> 00:34:48,760 Speaker 2: Wow? What the Sierra freaking Club? 676 00:34:49,040 --> 00:34:54,360 Speaker 4: Wow? That is something. When that happens, I love this 677 00:34:54,560 --> 00:34:57,279 Speaker 4: so much. All right, final note, and this is this 678 00:34:57,520 --> 00:34:59,960 Speaker 4: is worth remembering. I kind of let I'd space this off. 679 00:35:00,000 --> 00:35:01,560 Speaker 4: I heard it years and years and years ago. Jack, 680 00:35:01,600 --> 00:35:04,880 Speaker 4: I know you know this. The sovietologist Robert Kuhn quest 681 00:35:05,360 --> 00:35:09,840 Speaker 4: what a name Dick Army wishes his name was Bob Khnquest. 682 00:35:10,840 --> 00:35:13,000 Speaker 2: Anyway, let's see. 683 00:35:13,480 --> 00:35:13,640 Speaker 7: Oh. 684 00:35:13,840 --> 00:35:16,600 Speaker 4: He once positive a series of laws of politics, the 685 00:35:16,680 --> 00:35:20,320 Speaker 4: most famous of which remains his second. Any organization not 686 00:35:20,840 --> 00:35:24,200 Speaker 4: explicitly right wing sooner or later becomes left wing. 687 00:35:24,600 --> 00:35:27,879 Speaker 3: Our friend Tim Sandifer has quoted that on our show 688 00:35:28,160 --> 00:35:30,319 Speaker 3: a number of times, and it's stuck in my head. 689 00:35:30,480 --> 00:35:33,800 Speaker 3: It seems to be true. Unless your goal is to 690 00:35:33,920 --> 00:35:37,840 Speaker 3: be right wing, you overtime become left wing. Yes, and 691 00:35:38,239 --> 00:35:39,839 Speaker 3: you can see it all around. Once you become aware 692 00:35:39,840 --> 00:35:40,839 Speaker 3: of that, you see it all the time. 693 00:35:41,360 --> 00:35:42,839 Speaker 2: The Armstrong and Getty Show