1 00:00:10,039 --> 00:00:14,280 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:14,400 --> 00:00:18,360 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Gatty. 3 00:00:18,360 --> 00:00:22,320 Speaker 2: Arm Strong and Jettee. 4 00:00:23,520 --> 00:00:24,400 Speaker 3: Arms And. 5 00:00:33,479 --> 00:00:36,640 Speaker 2: Welcome to a replay of the Armstrong and Getty Show. 6 00:00:36,680 --> 00:00:39,159 Speaker 2: We are on vacation, but boy, do we have some 7 00:00:39,159 --> 00:00:41,159 Speaker 2: good stuff for you. Yes, indeed we do. 8 00:00:41,280 --> 00:00:42,960 Speaker 3: And if you want to catch up on your ang 9 00:00:43,120 --> 00:00:45,880 Speaker 3: listening during your travels, remember grab the podcast Armstrong and 10 00:00:45,920 --> 00:00:47,879 Speaker 3: Getty on demand. You ought to subscribe wherever you like 11 00:00:47,920 --> 00:00:51,360 Speaker 3: to get podcasts now on with the infotainment. 12 00:00:52,280 --> 00:00:54,760 Speaker 2: So I love this. This is funny. I like words. 13 00:00:55,040 --> 00:00:57,440 Speaker 3: I think that's obvious, but they're fun to play with. 14 00:00:58,200 --> 00:01:01,080 Speaker 3: And I came across this article that it's just terrific. 15 00:01:01,280 --> 00:01:04,960 Speaker 3: The guy starts with, go shopping online. Just about everything 16 00:01:04,959 --> 00:01:07,000 Speaker 3: you look at will have a star rating based on 17 00:01:07,280 --> 00:01:10,480 Speaker 3: you know, previous customers, right any of them phony, which. 18 00:01:10,319 --> 00:01:12,000 Speaker 2: Makes shopping online a bit difficult. 19 00:01:12,000 --> 00:01:15,560 Speaker 3: But and he says it's less easy to quantify things 20 00:01:16,120 --> 00:01:20,000 Speaker 3: in such a way in day to day life. For instance, 21 00:01:20,040 --> 00:01:22,680 Speaker 3: if your friend was telling you about a product, or 22 00:01:22,720 --> 00:01:26,280 Speaker 3: a restaurant or whatever, where would their description fall on 23 00:01:26,319 --> 00:01:30,680 Speaker 3: the star scale? Blah blah blah, well he said, you're 24 00:01:30,680 --> 00:01:33,759 Speaker 3: in the dark no longer. A new Yugov study reveals 25 00:01:33,880 --> 00:01:40,080 Speaker 3: exactly how positively and negatively the population perceives various words 26 00:01:40,280 --> 00:01:44,959 Speaker 3: or descriptions to be. They have a few dozen words, 27 00:01:46,160 --> 00:01:48,559 Speaker 3: then ask people to score them on a scale from 28 00:01:48,680 --> 00:01:53,400 Speaker 3: zero to ten, with zero being very negative to ten 29 00:01:53,480 --> 00:01:58,560 Speaker 3: being very positive. And as an explanation, I will tell 30 00:01:58,600 --> 00:02:02,400 Speaker 3: you that of the forty words tested, abysmal was seen 31 00:02:02,480 --> 00:02:03,640 Speaker 3: as the most negative. 32 00:02:04,560 --> 00:02:06,920 Speaker 2: Okay, So this is like, so you asked me, how, 33 00:02:07,160 --> 00:02:09,000 Speaker 2: how is that restaurant you went to? And I say great? 34 00:02:09,440 --> 00:02:13,080 Speaker 2: They figured out what great means to people. Yes, okay, 35 00:02:13,160 --> 00:02:14,920 Speaker 2: right where it fits on the scale. 36 00:02:14,960 --> 00:02:20,680 Speaker 3: So abysmal is seen as the most negative. Well to you. 37 00:02:21,080 --> 00:02:23,480 Speaker 3: So when you think of that restaurant you said, it's abysmal, 38 00:02:24,120 --> 00:02:25,800 Speaker 3: I wouldn't try it. 39 00:02:25,880 --> 00:02:27,959 Speaker 2: I mean it's not like I would. I think, Oh, 40 00:02:28,000 --> 00:02:28,920 Speaker 2: that's just his opinion. 41 00:02:29,480 --> 00:02:32,360 Speaker 3: Would there be any doubt as to what my opinion 42 00:02:32,480 --> 00:02:37,960 Speaker 3: is using the word abysmal? No, slightly less bad comes 43 00:02:38,000 --> 00:02:43,920 Speaker 3: the closely clustered fighting it out for second place. Awful, terrible, 44 00:02:44,120 --> 00:02:48,600 Speaker 3: and very bad. Now on the other end of the scale. 45 00:02:48,200 --> 00:02:52,800 Speaker 2: That's interesting, So awful, terrible and very bad obviously a 46 00:02:52,800 --> 00:02:58,280 Speaker 2: fairly negative review and the story, but measurably above abysmal. 47 00:02:59,680 --> 00:03:05,399 Speaker 3: Yeah, abysmol is the clear winner, clear winner. I'm trying 48 00:03:05,440 --> 00:03:08,240 Speaker 3: to imagine what would that happened at a restaurant before 49 00:03:08,280 --> 00:03:10,600 Speaker 3: I would say that. I mean, the waiter would have 50 00:03:10,639 --> 00:03:13,280 Speaker 3: to punch me in the face and give me rancid meat, I. 51 00:03:13,200 --> 00:03:15,600 Speaker 2: Think as I was being attacked by rats. 52 00:03:15,680 --> 00:03:22,160 Speaker 3: Yes, abysmal was my experience. At the other end of 53 00:03:22,200 --> 00:03:27,240 Speaker 3: the scale, perfect is the most positively regarded word, with 54 00:03:27,320 --> 00:03:29,920 Speaker 3: an average score at nine point one six. Only one 55 00:03:30,000 --> 00:03:33,840 Speaker 3: other word managed to break the nine point barrier. Remember 56 00:03:33,840 --> 00:03:37,520 Speaker 3: we're on a zero to ten scale, which was outstanding, 57 00:03:39,200 --> 00:03:41,960 Speaker 3: just edging out excellent for second place. 58 00:03:42,080 --> 00:03:44,720 Speaker 2: Perfect is similar to abysmo. It would be a hard 59 00:03:44,880 --> 00:03:49,840 Speaker 2: to reach. Also, they gave me Kobe's steak, didn't charge me, 60 00:03:49,840 --> 00:03:54,800 Speaker 2: and I had an orgasm. I hope you excused yourself 61 00:03:54,840 --> 00:03:58,440 Speaker 2: before that last one. Anyway, I had one. 62 00:03:58,840 --> 00:04:02,880 Speaker 3: I've had a couple experiences I probably have described as 63 00:04:03,200 --> 00:04:04,640 Speaker 3: perfect or something close to it. 64 00:04:04,800 --> 00:04:07,440 Speaker 2: But they also went with an enormous price tag. 65 00:04:08,480 --> 00:04:11,960 Speaker 3: Right, Yeah, like your your anniversary and not like your 66 00:04:11,960 --> 00:04:14,720 Speaker 3: twenty first, only like your twentieth and twenty fist that 67 00:04:14,840 --> 00:04:15,720 Speaker 3: sort of place you go. 68 00:04:15,920 --> 00:04:19,040 Speaker 2: Yeah, that's that is a good point too. Yeah. I 69 00:04:20,440 --> 00:04:23,640 Speaker 2: say that to the kids a lot because I rarely 70 00:04:23,680 --> 00:04:26,479 Speaker 2: complain about service, But like sometimes if we're in a really, 71 00:04:26,560 --> 00:04:29,599 Speaker 2: really fancy place, I don't expect to sit around thirsty 72 00:04:29,640 --> 00:04:31,320 Speaker 2: for very long if I'm going to drop a whole 73 00:04:31,320 --> 00:04:33,359 Speaker 2: bunch of money, you know what I'm saying. 74 00:04:34,320 --> 00:04:37,360 Speaker 3: And right see, you have different standards. I met Denny's. 75 00:04:37,960 --> 00:04:39,960 Speaker 3: They don't come back to refill my water. That's what 76 00:04:40,000 --> 00:04:44,200 Speaker 3: I expected. Yeah, yeah, all right, So let's I think 77 00:04:44,200 --> 00:04:47,880 Speaker 3: it would be better, more entertaining to go from the 78 00:04:47,960 --> 00:04:52,080 Speaker 3: best to the worst the words as rated by thousands 79 00:04:52,080 --> 00:04:55,280 Speaker 3: of people. All right, we'll start with perfect and orc 80 00:04:55,360 --> 00:05:00,240 Speaker 3: our way down perfect, concluded, orgasm. As we remember, each 81 00:05:00,279 --> 00:05:08,000 Speaker 3: one gets less and less appealing, Perfect, outstanding, excellent, incredible. 82 00:05:09,360 --> 00:05:13,160 Speaker 3: I would have incredible ahead of excellent. But this is 83 00:05:13,200 --> 00:05:20,560 Speaker 3: a poles some of the crowns. Yeah, brilliant, superb. This 84 00:05:20,720 --> 00:05:23,520 Speaker 3: is getting less impressive as we go. I've never used 85 00:05:23,600 --> 00:05:25,240 Speaker 3: I don't think I've ever used the word superb, but 86 00:05:25,680 --> 00:05:28,559 Speaker 3: oh I do constantly. I'm superb at using the word superb. 87 00:05:28,880 --> 00:05:31,760 Speaker 3: The differences between these various words very very I'd say, 88 00:05:31,880 --> 00:05:34,120 Speaker 3: do you use it seriously or sarcastic? I mean, like 89 00:05:34,320 --> 00:05:38,400 Speaker 3: the point total depends on my setting, on the setting. 90 00:05:39,800 --> 00:05:43,800 Speaker 3: He's been good at using super as a sarcastic comment. 91 00:05:45,360 --> 00:05:51,200 Speaker 3: It's always made me laugh. Super super, but this is super, 92 00:05:51,240 --> 00:05:58,120 Speaker 3: This is SUPERB with the B shows sophistication. Anyway, moving along, fantastic, awesome, 93 00:05:59,080 --> 00:06:02,480 Speaker 3: very good, really good, which is not as good as 94 00:06:02,640 --> 00:06:06,239 Speaker 3: very good, great good. 95 00:06:06,400 --> 00:06:06,960 Speaker 2: Oh that's right. 96 00:06:07,000 --> 00:06:10,520 Speaker 3: I forgot to tell you it's it's actually bang in 97 00:06:10,560 --> 00:06:14,720 Speaker 3: the middle is average. I mean that is exactly in 98 00:06:14,880 --> 00:06:17,359 Speaker 3: the middle of these descriptors average. 99 00:06:17,520 --> 00:06:21,280 Speaker 2: Wow. Isn't that funny? You know? I mean, of course 100 00:06:21,320 --> 00:06:22,760 Speaker 2: it is, but it's funny that it is. And I 101 00:06:22,800 --> 00:06:25,280 Speaker 2: will go to a place if somebody tells me it's average, 102 00:06:25,320 --> 00:06:28,200 Speaker 2: if the price is low, probably and it's convenient to me. 103 00:06:29,200 --> 00:06:32,080 Speaker 3: Yeah, yeah, it's funny. There's a restaurant Judy and Delaney 104 00:06:32,120 --> 00:06:34,800 Speaker 3: and I went to the other day, and and a 105 00:06:34,800 --> 00:06:36,640 Speaker 3: lot of our friends go to it, and once again 106 00:06:36,720 --> 00:06:40,279 Speaker 3: we're like, it's okay. But the one word people use 107 00:06:40,560 --> 00:06:44,120 Speaker 3: constantly describe it as consistent. Their food is really consistent. 108 00:06:44,760 --> 00:06:46,719 Speaker 3: We have a place like a B minus every time 109 00:06:46,720 --> 00:06:48,279 Speaker 3: you go, yeah, we have a place. It's like a 110 00:06:48,279 --> 00:06:50,159 Speaker 3: B minus. But it's the charm. 111 00:06:50,160 --> 00:06:51,800 Speaker 2: That we go for. It's not like the food. 112 00:06:52,160 --> 00:06:59,320 Speaker 3: Yeah, okay, anyway, so remember these words are getting less impressive. Great, good, 113 00:07:00,240 --> 00:07:08,120 Speaker 3: pretty good, above average, decent, quite good, somewhat good, fine, 114 00:07:08,160 --> 00:07:19,640 Speaker 3: satisfactory fine is yeah, okay, all right, fair, not bad average, 115 00:07:20,120 --> 00:07:25,360 Speaker 3: And again that was the average score. Weird, mediocre, below average. 116 00:07:25,400 --> 00:07:29,600 Speaker 3: We've definitely departed thumbs up folks. We're in thumbs down territory. 117 00:07:30,120 --> 00:07:32,240 Speaker 2: We're in probably not going back territory. 118 00:07:32,600 --> 00:07:38,200 Speaker 3: Yeah, so all right, so average, mediocre, below average, somewhat bad, 119 00:07:38,800 --> 00:07:50,560 Speaker 3: pretty bad, quite bad, poor, and then just bad, unsatisfactory, rubbish. 120 00:07:51,160 --> 00:07:53,160 Speaker 3: The original version of this poll was in Britain, then 121 00:07:53,200 --> 00:07:56,640 Speaker 3: they did it in America. Slight differences but not meaningful 122 00:07:56,720 --> 00:07:58,320 Speaker 3: enough to mention rubbish. 123 00:07:58,960 --> 00:08:04,840 Speaker 2: Really bad, very bad, very bad. 124 00:08:04,800 --> 00:08:09,040 Speaker 3: Is seen as zero point nine percent worse than very bad. 125 00:08:09,280 --> 00:08:11,600 Speaker 2: There was really bad, there was a hair in my soup, 126 00:08:11,760 --> 00:08:14,200 Speaker 2: there was more hair in my salad, and then once 127 00:08:14,240 --> 00:08:19,000 Speaker 2: again hair in my mentree. The experience went from really 128 00:08:19,040 --> 00:08:30,000 Speaker 2: bad to very bad, terrible, awful, dreadful, appalling. Can I 129 00:08:30,000 --> 00:08:33,280 Speaker 2: get a razor to shave some of my food? Everything 130 00:08:33,360 --> 00:08:34,040 Speaker 2: has hair in it. 131 00:08:35,000 --> 00:08:40,800 Speaker 3: Finally, appallingsmal, abysmal the worst. Although if somebody told me 132 00:08:41,080 --> 00:08:48,720 Speaker 3: our experience was appalling, I mean even clear enough, that's hilarious. 133 00:08:48,880 --> 00:08:52,240 Speaker 2: Who decided to rank these words? Well, the great thing 134 00:08:52,240 --> 00:08:55,040 Speaker 2: about appalling and abysmal experiences is they make for a 135 00:08:55,080 --> 00:08:55,840 Speaker 2: good story. 136 00:08:56,120 --> 00:08:58,000 Speaker 3: It's almost better than. 137 00:08:59,480 --> 00:09:02,200 Speaker 2: Slightly below average, because then you just you know, you 138 00:09:02,200 --> 00:09:05,840 Speaker 2: don't have a story. You wasted your money, you're not satisfied. 139 00:09:06,160 --> 00:09:09,559 Speaker 3: But something that's like abysmal, you're gonna be telling people 140 00:09:09,559 --> 00:09:12,679 Speaker 3: about it having laughs. I tell that story way more 141 00:09:12,720 --> 00:09:13,920 Speaker 3: than like a perfect dinner. 142 00:09:13,960 --> 00:09:16,400 Speaker 2: Oh yeah, like my kids and I have a coincidentally, 143 00:09:16,600 --> 00:09:19,160 Speaker 2: because I mentioned it, a Denny story from Arizona. Ones 144 00:09:19,200 --> 00:09:21,400 Speaker 2: from way way back when they tried to get these 145 00:09:21,520 --> 00:09:23,000 Speaker 2: when they were little kids. So they tried to get 146 00:09:23,040 --> 00:09:25,560 Speaker 2: these pancakes. It was at Christmas time, and they made 147 00:09:25,559 --> 00:09:28,280 Speaker 2: like a Santa out of the pancakes. Anyway, that's when 148 00:09:28,280 --> 00:09:31,600 Speaker 2: I we never got our food, and I went up 149 00:09:31,600 --> 00:09:33,280 Speaker 2: to the kitchen to try to figure out what was 150 00:09:33,320 --> 00:09:37,200 Speaker 2: going on, and the waitress was yelling at the cook, 151 00:09:37,679 --> 00:09:39,920 Speaker 2: and the cook quent and left right in front of me. 152 00:09:40,160 --> 00:09:41,160 Speaker 2: It was really quite the thing. 153 00:09:41,200 --> 00:09:43,040 Speaker 3: To see. But I still talk about that because it 154 00:09:43,080 --> 00:09:45,360 Speaker 3: was an appalling experience, but it was entertaining. 155 00:09:46,160 --> 00:09:48,680 Speaker 2: Oh wow. So all right, finally final note. 156 00:09:48,800 --> 00:09:52,480 Speaker 3: So if you've had an experience that was just completely 157 00:09:53,080 --> 00:09:59,280 Speaker 3: average but slightly better, you'd say mediocre and just slightly worse. 158 00:09:59,720 --> 00:10:04,280 Speaker 2: Not Yeah, that that story, Katie quickly is. So we 159 00:10:04,320 --> 00:10:05,880 Speaker 2: sat there, We sat there, We sat there with that there, 160 00:10:05,960 --> 00:10:08,400 Speaker 2: like what's going on? I go up to the kitchen 161 00:10:08,559 --> 00:10:10,920 Speaker 2: where you can like, you know, there's a like a 162 00:10:10,960 --> 00:10:12,520 Speaker 2: bar there and you can see into the kitchen in 163 00:10:12,559 --> 00:10:15,480 Speaker 2: a place liked the made her d saying it's a diner, 164 00:10:15,880 --> 00:10:19,480 Speaker 2: and and the waitresses standing there, and the cook is 165 00:10:19,480 --> 00:10:22,160 Speaker 2: in there completely ignoring her with a blank look on 166 00:10:22,200 --> 00:10:25,320 Speaker 2: his face, like flipping burgers and baking stuff like, and 167 00:10:25,360 --> 00:10:29,120 Speaker 2: she keeps saying, can you hear me? Are you going 168 00:10:29,160 --> 00:10:31,400 Speaker 2: to are you going to make the food? What are 169 00:10:31,400 --> 00:10:33,040 Speaker 2: you doing? What is happening here? 170 00:10:33,320 --> 00:10:35,880 Speaker 3: And he just kept looking straight ahead and kind of 171 00:10:35,920 --> 00:10:38,920 Speaker 3: doing things slowly, And then pretty soon he just walked out. 172 00:10:38,760 --> 00:10:42,160 Speaker 2: And I assume he left. Wow, I don't know what 173 00:10:42,200 --> 00:10:44,360 Speaker 2: happened there. That had been bruined for a while. I 174 00:10:44,360 --> 00:10:47,640 Speaker 2: have a feeling she couldn't get a response out of him. 175 00:10:48,280 --> 00:10:49,080 Speaker 2: That's dreadful. 176 00:10:49,160 --> 00:10:53,920 Speaker 3: He kept me off a ball sandwich, a turd sandwich. 177 00:10:53,960 --> 00:10:57,719 Speaker 3: But we didn't ask about that one. We still laugh 178 00:10:57,760 --> 00:10:59,680 Speaker 3: about that experience of Denny's OL. So I got something 179 00:10:59,679 --> 00:11:03,120 Speaker 3: out of it. Again, I'd rather have appalling than below average. 180 00:11:03,800 --> 00:11:07,559 Speaker 3: What would be worse A ts I'm not going to 181 00:11:07,640 --> 00:11:12,280 Speaker 3: repeat the phrase, or a foster cluck. Yeah, mine was 182 00:11:12,320 --> 00:11:15,719 Speaker 3: really more of a fuster cluck than the food being bad. 183 00:11:15,760 --> 00:11:17,720 Speaker 3: Because we never got food. We had to go somewhere else. 184 00:11:19,240 --> 00:11:20,320 Speaker 3: That's a pretty good story. 185 00:11:20,840 --> 00:11:23,839 Speaker 1: The Armstrong and Getty Show, Yeah, or Jack your Joe 186 00:11:24,080 --> 00:11:31,280 Speaker 1: podcasts and our hot links. 187 00:11:30,000 --> 00:11:32,319 Speaker 4: Jack Armstrong and Joe Getty. 188 00:11:32,800 --> 00:11:34,720 Speaker 1: The Armstrong and Getty Show. 189 00:11:40,040 --> 00:11:45,160 Speaker 2: Is the famous sound of dialing up AOL America online 190 00:11:45,200 --> 00:11:47,040 Speaker 2: from back in the day. That was most of our 191 00:11:47,200 --> 00:11:50,319 Speaker 2: entry points and do email for one thing, and then 192 00:11:50,640 --> 00:11:52,119 Speaker 2: any kind of social media. 193 00:11:53,520 --> 00:11:54,200 Speaker 3: Back in the day. 194 00:11:54,400 --> 00:11:57,160 Speaker 2: You've got mail, Thank you, thank you for that. I 195 00:11:57,480 --> 00:12:00,760 Speaker 2: how exciting. I probably still have mail on my AOL 196 00:12:00,800 --> 00:12:05,440 Speaker 2: account from so after thirty four years. I think I 197 00:12:05,520 --> 00:12:08,280 Speaker 2: read as of today they no longer have a dial 198 00:12:08,360 --> 00:12:13,720 Speaker 2: up application. They still did wow as of today. Like 199 00:12:13,800 --> 00:12:16,559 Speaker 2: two families in rural Tennessee. I don't know, but the 200 00:12:16,840 --> 00:12:19,960 Speaker 2: most recent statistics I heard were from twenty nineteen, where 201 00:12:19,960 --> 00:12:22,679 Speaker 2: there were still a quarter of a million people doing 202 00:12:22,720 --> 00:12:26,200 Speaker 2: the dial up for AOL. They probably also eat rope, 203 00:12:26,400 --> 00:12:30,520 Speaker 2: roadkill and marry their sisters. But wow, wait a minute now, 204 00:12:31,080 --> 00:12:36,840 Speaker 2: unfortunate cliche, but hey, sorry, Clym, you and your sister 205 00:12:37,040 --> 00:12:39,120 Speaker 2: wife are going to have to get Wi Fi or 206 00:12:39,160 --> 00:12:41,520 Speaker 2: something because no longer dial up for AOL. 207 00:12:41,559 --> 00:12:44,760 Speaker 3: So that's the end of that. And I remember downloading 208 00:12:44,800 --> 00:12:48,079 Speaker 3: stuff for the show at the dawn of the Internet, 209 00:12:48,480 --> 00:12:52,559 Speaker 3: and if anybody called the house while I was doing it, 210 00:12:52,559 --> 00:12:56,240 Speaker 3: it completely ruined the whole process, which took like fifteen 211 00:12:56,280 --> 00:12:58,560 Speaker 3: minutes to download, you know, a handful of pages worth 212 00:12:58,559 --> 00:12:59,000 Speaker 3: of text. 213 00:12:59,320 --> 00:13:02,800 Speaker 2: Yeah, it certainly looked there for quite a few years 214 00:13:02,800 --> 00:13:04,560 Speaker 2: that this was never like gonna catch on and be 215 00:13:04,600 --> 00:13:08,080 Speaker 2: that big a deal. But little did we know, totally overrated. 216 00:13:09,320 --> 00:13:11,400 Speaker 2: So there's that this is going to be a tease 217 00:13:11,520 --> 00:13:13,920 Speaker 2: for something we will do. How much time I got, Michael, 218 00:13:14,840 --> 00:13:18,280 Speaker 2: He's got about five minutes, Maybe I'll start here. Started 219 00:13:18,280 --> 00:13:21,120 Speaker 2: it on teaching my son to drive over the weekend, 220 00:13:21,160 --> 00:13:23,360 Speaker 2: specifically driving a stick shift. We've done a lot of 221 00:13:23,679 --> 00:13:26,559 Speaker 2: driving living on a farm like we have twenty acres 222 00:13:26,600 --> 00:13:29,600 Speaker 2: and he's driven all over in various peekles since he 223 00:13:29,720 --> 00:13:32,000 Speaker 2: was I don't know, seven years old. So you can 224 00:13:32,040 --> 00:13:33,280 Speaker 2: just put him in a field with the truck and 225 00:13:33,320 --> 00:13:36,880 Speaker 2: go drive around trying not to taste something and nothing happens. 226 00:13:37,559 --> 00:13:39,640 Speaker 2: So it's not that he hadn't never driven before, but 227 00:13:39,720 --> 00:13:41,719 Speaker 2: driving a stick shift that that's brand new to him. 228 00:13:41,720 --> 00:13:43,880 Speaker 2: This a vehicle that I bought him five speed, so 229 00:13:45,480 --> 00:13:48,400 Speaker 2: I was exiting he did find, aren't they He did 230 00:13:48,520 --> 00:13:50,839 Speaker 2: very very well. I was very excited for him, and 231 00:13:51,280 --> 00:13:53,000 Speaker 2: he seemed to really enjoy it, so that was fun. 232 00:13:53,240 --> 00:13:55,400 Speaker 2: Killed it once. I said, you're gonna kill it in 233 00:13:55,440 --> 00:13:57,680 Speaker 2: front of your friends. Guaranteed you're gonna kill it in 234 00:13:57,679 --> 00:14:00,360 Speaker 2: front of your friends, and it's gonna be embarrassing. Happens, 235 00:14:00,440 --> 00:14:01,240 Speaker 2: you'll be all right. 236 00:14:01,520 --> 00:14:03,320 Speaker 3: Yeah, but they don't know how to drive a stick 237 00:14:04,000 --> 00:14:07,800 Speaker 3: probably not for all they know he's a captaining the 238 00:14:07,840 --> 00:14:11,760 Speaker 3: Starship Enterprise, right, you know, right to be mysterious and 239 00:14:11,800 --> 00:14:12,679 Speaker 3: difficult in there. 240 00:14:15,679 --> 00:14:16,839 Speaker 2: This is what we're going to do in the One 241 00:14:16,840 --> 00:14:18,520 Speaker 2: More Thing podcast. And if you don't listen to that 242 00:14:18,559 --> 00:14:21,080 Speaker 2: every day after the four hours of radio, that we do. 243 00:14:21,160 --> 00:14:24,680 Speaker 2: We do another podcast only thing called One More Thing, 244 00:14:24,680 --> 00:14:26,840 Speaker 2: and you can find it wherever you find Armstrong and 245 00:14:26,880 --> 00:14:30,760 Speaker 2: Getty podcasts, wherever you're finding Armstrong and Getdy on demand. Well, 246 00:14:30,760 --> 00:14:33,120 Speaker 2: we'll get to this today. There was a survey done 247 00:14:33,120 --> 00:14:37,040 Speaker 2: that I found this interesting as a single guy, the 248 00:14:37,080 --> 00:14:40,840 Speaker 2: most attractive hobbies to women that a man can have, 249 00:14:41,640 --> 00:14:43,760 Speaker 2: and they listed him by a lot, like a whole 250 00:14:43,800 --> 00:14:47,040 Speaker 2: bunch of them. And this is legit. It's not a 251 00:14:47,080 --> 00:14:50,080 Speaker 2: dumb survey. The most attractive hobbies to women, the least 252 00:14:50,080 --> 00:14:52,680 Speaker 2: attractive hobbies to women, and we can go through them 253 00:14:52,680 --> 00:14:56,960 Speaker 2: in detail. But I was happy to see that the 254 00:14:56,960 --> 00:15:01,600 Speaker 2: most attractive hobby to women as a percentage at ninety 255 00:15:01,680 --> 00:15:07,320 Speaker 2: eight point two percent favorability was recross dressings reading as 256 00:15:07,360 --> 00:15:08,600 Speaker 2: a reader, I'm. 257 00:15:08,440 --> 00:15:11,920 Speaker 3: Happy you can swap clothes and stuff. No reading, as 258 00:15:11,960 --> 00:15:14,440 Speaker 3: it turns out, Yeah, okay. 259 00:15:14,440 --> 00:15:14,800 Speaker 2: Go on. 260 00:15:15,000 --> 00:15:17,200 Speaker 3: Cross dressing would have an advantage, wouldn't it If it 261 00:15:17,240 --> 00:15:20,359 Speaker 3: was your size. You'd have to date a guy your size. Yeah, 262 00:15:20,440 --> 00:15:22,840 Speaker 3: so hey, there have to be well, depending. 263 00:15:22,560 --> 00:15:26,240 Speaker 2: On your size, a pretty small dude or well, it 264 00:15:26,240 --> 00:15:27,720 Speaker 2: depends famously. 265 00:15:28,160 --> 00:15:30,440 Speaker 3: Some of the tiny little fellas in the Rolling Stones, 266 00:15:30,480 --> 00:15:33,400 Speaker 3: that's how they got their fashion senses. They swapped clothes 267 00:15:33,440 --> 00:15:37,160 Speaker 3: with their girlfriends. Wow, because dudes were so skinny and 268 00:15:37,160 --> 00:15:38,240 Speaker 3: weedy at that point. 269 00:15:38,320 --> 00:15:40,400 Speaker 2: Have I ever had a girlfriend I could swap clothes with? 270 00:15:40,480 --> 00:15:47,440 Speaker 2: I'm pretty sure not because I'm a d cup. So 271 00:15:48,400 --> 00:15:49,800 Speaker 2: we'll get into the list when we do the One 272 00:15:49,800 --> 00:15:54,120 Speaker 2: More Thing podcast. But just why do you think reading 273 00:15:54,400 --> 00:15:58,560 Speaker 2: is the most attractive trait to women? What's your theory 274 00:15:58,600 --> 00:15:58,760 Speaker 2: on that? 275 00:15:59,800 --> 00:16:01,480 Speaker 3: I'm not sure I could come up with anything that 276 00:16:01,600 --> 00:16:04,560 Speaker 3: isn't like super obvious. I mean, it shows a certain 277 00:16:04,640 --> 00:16:09,680 Speaker 3: level of mental power, curiosity, intellect. 278 00:16:09,840 --> 00:16:11,880 Speaker 2: So is it basically just I want a smart person 279 00:16:12,640 --> 00:16:15,600 Speaker 2: his brain works? So is that just like shorthand for 280 00:16:15,720 --> 00:16:17,800 Speaker 2: I want a smart person? You know? 281 00:16:18,200 --> 00:16:21,440 Speaker 3: Interesting about this list and I haven't seen it yet, 282 00:16:21,440 --> 00:16:25,400 Speaker 3: But there's the question of universal acceptance because you said 283 00:16:25,400 --> 00:16:28,720 Speaker 3: it's ninety eight percent or so. But how much enthusiasm 284 00:16:28,960 --> 00:16:32,120 Speaker 3: does it generate? Is it great or is it just 285 00:16:32,720 --> 00:16:36,000 Speaker 3: acceptable to everyone? You know what I mean? Right? 286 00:16:36,160 --> 00:16:39,080 Speaker 2: Yes, Michael, I think you're trying to show that you're 287 00:16:39,120 --> 00:16:41,480 Speaker 2: better in yourself and so that you're looking to gain 288 00:16:41,520 --> 00:16:43,920 Speaker 2: more knowledge, You're looking to be a better man. That 289 00:16:43,960 --> 00:16:47,600 Speaker 2: could be that that's pretty good too. That's good astute observation. 290 00:16:47,840 --> 00:16:49,720 Speaker 3: It was, do you want the least popular? 291 00:16:49,960 --> 00:16:52,840 Speaker 2: I don't exactly know what I mean, but the is 292 00:16:52,920 --> 00:16:56,200 Speaker 2: a hobby they have as a hobby man o sphere, 293 00:16:56,800 --> 00:16:58,960 Speaker 2: which is what they call people who listen to like 294 00:16:59,080 --> 00:17:01,760 Speaker 2: Joe Rogan and all those kind of podcasts and are 295 00:17:01,800 --> 00:17:02,720 Speaker 2: into that sort of thing. 296 00:17:02,840 --> 00:17:05,480 Speaker 3: Well more like the Tate Brothers and some of the 297 00:17:05,520 --> 00:17:07,080 Speaker 3: real misogynist stuff. 298 00:17:07,720 --> 00:17:10,919 Speaker 2: That's the least popular. Well, well, why would that be 299 00:17:11,000 --> 00:17:15,320 Speaker 2: popular people that are spending it? No, for women, of course, 300 00:17:15,320 --> 00:17:18,679 Speaker 2: it's not popular. Only three point one? Who are your three? 301 00:17:19,240 --> 00:17:20,880 Speaker 2: You know what I like in a guy? Guys who 302 00:17:20,880 --> 00:17:23,800 Speaker 2: hate me because I'm a woman. That's what I really 303 00:17:23,840 --> 00:17:26,399 Speaker 2: like it. Again, you're weird contempt for me, it's me 304 00:17:26,560 --> 00:17:27,560 Speaker 2: and all my friends. 305 00:17:28,359 --> 00:17:35,680 Speaker 4: Then dogfighting, Jack Armstrong and Joe, The Armstrong and Getty Show, 306 00:17:38,800 --> 00:17:55,040 Speaker 4: The Armstrong and Getty Show. 307 00:17:55,240 --> 00:17:58,639 Speaker 3: So, speaking of technology a different sort than an AI story, 308 00:17:58,840 --> 00:18:01,200 Speaker 3: I am completely convince that mankind. 309 00:18:00,800 --> 00:18:02,720 Speaker 2: Has invented its doom. 310 00:18:03,480 --> 00:18:05,919 Speaker 3: I'm just there's nothing I can do about it, so 311 00:18:05,960 --> 00:18:07,359 Speaker 3: I try not to worry about it. I hope my 312 00:18:07,440 --> 00:18:10,040 Speaker 3: kids are smart and savvy enough to, you know, to 313 00:18:10,040 --> 00:18:12,960 Speaker 3: have happy lives in spite of the coming. 314 00:18:14,359 --> 00:18:19,679 Speaker 2: AI apocalypse, if nothing else, the biggest change in the 315 00:18:19,720 --> 00:18:22,480 Speaker 2: shortest amount of time that's probably ever happened, which would 316 00:18:22,480 --> 00:18:28,120 Speaker 2: be whip sawing, even if it turns out okay, yes, yeah. 317 00:18:28,560 --> 00:18:31,760 Speaker 3: Alicia Finley, who writes for the Journal opinion page, who 318 00:18:31,760 --> 00:18:33,840 Speaker 3: I think is just terrific one of my favorite writers, 319 00:18:35,640 --> 00:18:38,240 Speaker 3: has a piece today I think it is or recently, 320 00:18:39,920 --> 00:18:43,560 Speaker 3: analyzing what people are saying so far, including the CEO 321 00:18:43,680 --> 00:18:46,680 Speaker 3: of Amazon about AI with that employee memo. 322 00:18:46,760 --> 00:18:47,399 Speaker 2: With that he sent. 323 00:18:47,280 --> 00:18:51,160 Speaker 3: Out the key line of which was, we will need 324 00:18:51,240 --> 00:18:53,080 Speaker 3: fewer people doing some of the jobs that are being 325 00:18:53,080 --> 00:18:55,160 Speaker 3: done today and more people doing other types of jobs, 326 00:18:55,359 --> 00:18:57,760 Speaker 3: and that the people who will keep their jobs are 327 00:18:57,840 --> 00:19:01,480 Speaker 3: people who learn how to use AI efectively. And he 328 00:19:01,600 --> 00:19:04,160 Speaker 3: explained that AI advances me and employees will do less 329 00:19:04,280 --> 00:19:09,359 Speaker 3: rote work and more thinking strategically, which sounds really super great. 330 00:19:10,880 --> 00:19:13,560 Speaker 3: And all this will require a higher level of cognition 331 00:19:13,600 --> 00:19:16,760 Speaker 3: than does the rote work many white collar employees now do. 332 00:19:17,960 --> 00:19:21,240 Speaker 3: But as AI is getting smarter, I'll start quoting Alicia. Now, 333 00:19:22,000 --> 00:19:26,240 Speaker 3: younger college grads may be getting dumber. Like early versions 334 00:19:26,280 --> 00:19:29,520 Speaker 3: of chat GBT, they can regurgitate information and ideas, but 335 00:19:29,800 --> 00:19:32,600 Speaker 3: struggle to come up with novel insights or analyze issues 336 00:19:32,600 --> 00:19:36,840 Speaker 3: from different directions. And then she goes in an interesting direction. 337 00:19:37,200 --> 00:19:38,200 Speaker 2: And this is. 338 00:19:40,040 --> 00:19:45,200 Speaker 3: The fruit of the tree of knowledge stuff. We don't 339 00:19:45,280 --> 00:19:49,520 Speaker 3: know what we're doing to ourselves, she mentions. The brain 340 00:19:49,680 --> 00:19:53,800 Speaker 3: continues to develop and mature into one's mid twenties, some 341 00:19:53,880 --> 00:19:56,320 Speaker 3: of us longer than that, but like a muscle, it 342 00:19:56,359 --> 00:19:59,760 Speaker 3: needs to be exercise, stimulated, and challenged to grow stronger. 343 00:20:00,160 --> 00:20:04,480 Speaker 3: Technology and especially AI, can stunt this development by doing 344 00:20:04,520 --> 00:20:07,600 Speaker 3: the mental work that builds the brain's version of a 345 00:20:07,600 --> 00:20:11,560 Speaker 3: computer cloud, a phenomenon called cognitive offloading. 346 00:20:12,080 --> 00:20:12,399 Speaker 2: Cool. 347 00:20:13,960 --> 00:20:18,080 Speaker 3: Yeah, yeah, cool, But growing research shows and I remember 348 00:20:18,160 --> 00:20:20,239 Speaker 3: we talked about this a while ago. We had a 349 00:20:20,320 --> 00:20:25,120 Speaker 3: debate about cursive cursive writing, which seems silly and unnecessary 350 00:20:25,160 --> 00:20:28,000 Speaker 3: in handwriting in general. But then these studies have come 351 00:20:28,000 --> 00:20:31,480 Speaker 3: out that show that handwriting engages parts of your brain 352 00:20:31,520 --> 00:20:34,479 Speaker 3: that play a crucial role in learning and help children 353 00:20:34,480 --> 00:20:37,560 Speaker 3: with word and letter recognition. But more than that, taking 354 00:20:37,640 --> 00:20:41,439 Speaker 3: notes by hand also promotes memory development by forcing you 355 00:20:41,480 --> 00:20:44,680 Speaker 3: to synthesize and prioritize information. When you plunk away on 356 00:20:44,720 --> 00:20:47,080 Speaker 3: a keyboard. On the other hand, information can go as 357 00:20:47,119 --> 00:20:50,719 Speaker 3: it were, in one ear and out the other. And 358 00:20:50,760 --> 00:20:54,240 Speaker 3: then they studied the electrical activity of university students during 359 00:20:54,240 --> 00:20:59,040 Speaker 3: the activities of handwriting and typing, and the way their 360 00:20:59,080 --> 00:21:02,679 Speaker 3: brains worked were very, very, very different. Now that's just 361 00:21:02,800 --> 00:21:06,200 Speaker 3: kind of a side point to the greater point, which is. 362 00:21:07,800 --> 00:21:09,800 Speaker 2: The dopey grunt. 363 00:21:09,440 --> 00:21:13,480 Speaker 3: Work that now the computers do can do, or the 364 00:21:13,520 --> 00:21:17,360 Speaker 3: AI can do. Is the very dopey grunt work that 365 00:21:17,520 --> 00:21:20,719 Speaker 3: give builds the neural muscles it takes to do the 366 00:21:20,760 --> 00:21:25,480 Speaker 3: more advanced stuff. You can't skip to bench pressing two 367 00:21:25,560 --> 00:21:28,960 Speaker 3: hundred and fifty pounds having not bench pressed one hundred 368 00:21:29,000 --> 00:21:33,960 Speaker 3: pounds ever, neurologically speaking, that's really interesting. And I was 369 00:21:34,000 --> 00:21:39,359 Speaker 3: just thinking in my own life, I do some I 370 00:21:39,400 --> 00:21:44,280 Speaker 3: hate the term journaling. I don't know, it sounds so woosy. 371 00:21:45,880 --> 00:21:47,520 Speaker 3: My son would say gay and so at all is 372 00:21:47,560 --> 00:21:49,560 Speaker 3: high school friends, including gay ones. 373 00:21:50,119 --> 00:21:56,200 Speaker 2: But funny, isn't it. Uh? But anyway, writing about things 374 00:21:56,240 --> 00:22:00,000 Speaker 2: that are you know, difficult to try to get them 375 00:22:00,080 --> 00:22:01,480 Speaker 2: out or figure them out. 376 00:22:02,040 --> 00:22:03,359 Speaker 3: But I do it a. 377 00:22:03,280 --> 00:22:06,080 Speaker 2: Lot, typing into my notes in my phone, and you're 378 00:22:06,200 --> 00:22:11,200 Speaker 2: you're saying that doesn't count, that that doesn't work right 379 00:22:11,760 --> 00:22:15,119 Speaker 2: In the same way might be completely wasting my time. 380 00:22:15,840 --> 00:22:20,080 Speaker 3: I hate handwriting. I did say I'm left handed, I 381 00:22:20,080 --> 00:22:23,000 Speaker 3: have short fingers. I just the physical act of handwriting. 382 00:22:23,000 --> 00:22:27,320 Speaker 2: I hate. It's just physically That's funny. My son who's 383 00:22:27,400 --> 00:22:30,080 Speaker 2: left handed is that way. He just he just he 384 00:22:30,080 --> 00:22:32,800 Speaker 2: almost says it hurts. It's just like he hat it's 385 00:22:32,840 --> 00:22:35,040 Speaker 2: physically awful for him to do. 386 00:22:35,600 --> 00:22:37,520 Speaker 3: It does get kind of crampy because you're taught that 387 00:22:37,560 --> 00:22:39,600 Speaker 3: your letters ought to have a certain slam slant, and 388 00:22:39,640 --> 00:22:41,760 Speaker 3: if you're left handed you have to like form a 389 00:22:41,800 --> 00:22:44,640 Speaker 3: hook with your hand, and right sideways you're some sort 390 00:22:44,640 --> 00:22:46,400 Speaker 3: of degenerates. We've all we all know it. 391 00:22:46,960 --> 00:22:48,960 Speaker 2: Well. You know, if you don't know this, you should. 392 00:22:49,080 --> 00:22:53,080 Speaker 3: The the word sinister is Latin for left handed for 393 00:22:53,160 --> 00:22:56,760 Speaker 3: good reason, right, and what's the uh the uh the 394 00:22:56,800 --> 00:22:59,800 Speaker 3: equivalent right hand and it's like noble or something. 395 00:23:00,080 --> 00:23:02,640 Speaker 2: Yeah, anyway, that's why I'm a Satanist. 396 00:23:02,720 --> 00:23:09,040 Speaker 3: Anyway, moving along, then you get well, I kind of 397 00:23:09,040 --> 00:23:12,879 Speaker 3: made the point already. But if you don't do the 398 00:23:12,920 --> 00:23:15,040 Speaker 3: stuff to work up to the advanced stuff, you'll never 399 00:23:15,080 --> 00:23:17,200 Speaker 3: be able to do the advanced stuff. And college and 400 00:23:17,280 --> 00:23:21,240 Speaker 3: high school students are increasingly using large language models like 401 00:23:21,320 --> 00:23:25,560 Speaker 3: chat GPT to write papers, perform mathematical proofs, and create 402 00:23:25,640 --> 00:23:28,640 Speaker 3: computer code. That means they don't learn to think through, 403 00:23:28,680 --> 00:23:35,000 Speaker 3: express or defend ideas. And Aha moments occur spontaneously within 404 00:23:35,040 --> 00:23:38,760 Speaker 3: your brain with a sudden burst of high frequency electrical activity. 405 00:23:38,880 --> 00:23:43,679 Speaker 3: When the brain connects seemingly unrelated concepts, it finds the 406 00:23:43,760 --> 00:23:48,200 Speaker 3: connections and sees patterns, and then it says, oh, wow, 407 00:23:49,240 --> 00:23:52,560 Speaker 3: and we're denying ourselves all of the grunt work to 408 00:23:52,680 --> 00:23:54,439 Speaker 3: get there. Wow, that's interesting. 409 00:23:54,480 --> 00:23:58,200 Speaker 2: I've had that happen with music before, with after years 410 00:23:58,200 --> 00:24:00,880 Speaker 2: of doing well, it's like learning scale and then something else, 411 00:24:00,920 --> 00:24:04,000 Speaker 2: and then somehow it all comes together at one point. Yeah, 412 00:24:04,040 --> 00:24:06,359 Speaker 2: it makes sense so that it can happen with these 413 00:24:06,560 --> 00:24:09,240 Speaker 2: this other stuff. But we're so in the first part 414 00:24:09,240 --> 00:24:10,280 Speaker 2: we're skipping the scale R. 415 00:24:10,680 --> 00:24:12,840 Speaker 3: As quick aside and I realized this sounds kind of 416 00:24:12,880 --> 00:24:15,200 Speaker 3: silly and makes it clear that I'm an old bastard 417 00:24:15,200 --> 00:24:17,440 Speaker 3: at this point. But Judy and I are really into 418 00:24:17,440 --> 00:24:20,640 Speaker 3: doing crossword puzzles. We do like the hard New York 419 00:24:20,680 --> 00:24:25,520 Speaker 3: Times like Friday through Sunday crossword puzzles, and I will 420 00:24:25,600 --> 00:24:27,200 Speaker 3: and we do them as a team, which is fun 421 00:24:27,240 --> 00:24:30,760 Speaker 3: and brings us together, but I will be utterly stumped. 422 00:24:30,840 --> 00:24:32,240 Speaker 2: Saturday's the hardest one. 423 00:24:32,640 --> 00:24:35,119 Speaker 3: Sunday's kind of a mind blank because often there's a 424 00:24:35,160 --> 00:24:37,520 Speaker 3: trick within the puzzle, but Saturday is really hard, and 425 00:24:37,640 --> 00:24:41,040 Speaker 3: often I will be completely stumped, and I will go 426 00:24:41,160 --> 00:24:43,520 Speaker 3: away for an hour two hours. I will come back 427 00:24:43,560 --> 00:24:48,040 Speaker 3: and I will crush it. What happened there? That's worth 428 00:24:48,080 --> 00:24:48,640 Speaker 3: thinking about. 429 00:24:48,640 --> 00:24:51,600 Speaker 2: How I've been utilizing that my whole life, Like writing 430 00:24:51,640 --> 00:24:53,800 Speaker 2: papers for school. I always knew that if I thought 431 00:24:53,800 --> 00:24:55,399 Speaker 2: about it, thought about it, thought about it, couldn't come 432 00:24:55,480 --> 00:24:55,800 Speaker 2: up with it. 433 00:24:56,320 --> 00:24:59,000 Speaker 3: If I slept, I'd wake up and I'd have it. 434 00:24:59,280 --> 00:24:59,760 Speaker 3: I would have it. 435 00:24:59,840 --> 00:25:04,240 Speaker 2: Yeah, well, and I won't happen. What does happen? I'm 436 00:25:04,280 --> 00:25:06,600 Speaker 2: reading this book right now. It's a Graham Green. He's 437 00:25:06,640 --> 00:25:09,600 Speaker 2: a fantastic author. You've never written his stuff, but he's 438 00:25:09,840 --> 00:25:13,399 Speaker 2: in this novel I'm reading right now. It's about an author, 439 00:25:13,440 --> 00:25:16,960 Speaker 2: so he's talking about himself basically. But how writing is 440 00:25:16,960 --> 00:25:19,520 Speaker 2: something that happens while you're not thinking about it. He says, 441 00:25:19,560 --> 00:25:22,359 Speaker 2: you're gathering all this information, coming up with plot ideas, 442 00:25:22,480 --> 00:25:24,600 Speaker 2: and then the writing happens when you're not thinking about it, 443 00:25:24,640 --> 00:25:26,680 Speaker 2: and then it comes out on the page. So it's 444 00:25:26,840 --> 00:25:29,440 Speaker 2: just exactly what you're describing. It's your brain is doing 445 00:25:29,440 --> 00:25:33,240 Speaker 2: something while you're asleep or occupied doing something else, synthesizes 446 00:25:33,280 --> 00:25:34,920 Speaker 2: it and then it comes out. 447 00:25:34,840 --> 00:25:36,879 Speaker 3: Or and this is a bit of a quibble, And 448 00:25:36,920 --> 00:25:38,240 Speaker 3: this is what I was about to say. I'm not 449 00:25:38,280 --> 00:25:41,960 Speaker 3: going to lecture you, but I now discipline myself harshly 450 00:25:43,160 --> 00:25:47,399 Speaker 3: using a lash to be bored a certain amount of 451 00:25:47,440 --> 00:25:51,680 Speaker 3: the day, to be doing nothing, reading nothing, looking at 452 00:25:51,680 --> 00:25:54,840 Speaker 3: nothing but the trees and the sky and my dog 453 00:25:55,040 --> 00:26:00,000 Speaker 3: peeing over there. I am committed to being not occupy 454 00:26:00,280 --> 00:26:01,320 Speaker 3: a certain chunk of the day. 455 00:26:01,400 --> 00:26:04,520 Speaker 2: So you're like Putty Elaine's boyfriend sitting on the plane 456 00:26:04,560 --> 00:26:07,040 Speaker 2: just staring at the seatback. Yeah, I'm fine. Do you 457 00:26:07,080 --> 00:26:09,440 Speaker 2: want something to read? No, I'm a right, No anything, 458 00:26:09,680 --> 00:26:12,639 Speaker 2: crossword puzzle, I'm fine. Yeah. 459 00:26:12,680 --> 00:26:14,360 Speaker 3: I sat next to a lady like that a few 460 00:26:14,400 --> 00:26:16,040 Speaker 3: months ago. I think I talked about it on the air, 461 00:26:16,560 --> 00:26:19,000 Speaker 3: and it was freaking me out. It was weird me out. 462 00:26:19,200 --> 00:26:20,679 Speaker 3: I was like, is she going to take over the 463 00:26:20,680 --> 00:26:25,159 Speaker 3: plane or kill me or explode into a rage or this. 464 00:26:25,080 --> 00:26:25,920 Speaker 2: Is not natural? 465 00:26:26,040 --> 00:26:27,440 Speaker 3: Shoes are going to catch on fire. 466 00:26:28,080 --> 00:26:31,480 Speaker 2: But take time to daydreams. Seriously. Earlier we were talking 467 00:26:31,520 --> 00:26:35,320 Speaker 2: about the new Tesla robotaxis. One of them. 468 00:26:36,720 --> 00:26:39,159 Speaker 3: Paused in an intersection in Austin or something like that 469 00:26:39,200 --> 00:26:40,040 Speaker 3: and made some news. 470 00:26:40,240 --> 00:26:43,080 Speaker 2: But I would see the automated driving on the Tesla, 471 00:26:43,119 --> 00:26:45,359 Speaker 2: which kind of fits into the AI stuff, is so 472 00:26:45,480 --> 00:26:47,119 Speaker 2: much better than it was three years ago when I 473 00:26:47,119 --> 00:26:49,240 Speaker 2: first started writing Tesla. I mean, it's night and day 474 00:26:49,480 --> 00:26:53,359 Speaker 2: and it's so good now. And I never thought I 475 00:26:53,359 --> 00:26:59,199 Speaker 2: would have any interest in using automated driving, similar to 476 00:26:59,280 --> 00:27:01,520 Speaker 2: the first time I iver saw somebody texting and learned 477 00:27:01,520 --> 00:27:04,199 Speaker 2: about it, I thought, why would anybody do that? And 478 00:27:04,240 --> 00:27:08,160 Speaker 2: then obviously we all text consotly. Now I use automated 479 00:27:08,200 --> 00:27:09,960 Speaker 2: driving all the time. When I drive my vehicle that 480 00:27:10,040 --> 00:27:11,639 Speaker 2: doesn't have it, it seems like, oh, this is kind 481 00:27:11,640 --> 00:27:15,400 Speaker 2: of a pain in the ass. So you're a convert, 482 00:27:15,520 --> 00:27:19,080 Speaker 2: don't well, don't pretend you know what things you'll like, 483 00:27:19,119 --> 00:27:19,640 Speaker 2: and you don't. 484 00:27:19,720 --> 00:27:21,600 Speaker 3: I know in my own life I've been proven wrong 485 00:27:21,960 --> 00:27:27,840 Speaker 3: multiple times. So the NFL is about to change thanks 486 00:27:27,840 --> 00:27:33,080 Speaker 3: to AI, and they in the Athletic they're talking about 487 00:27:33,240 --> 00:27:39,960 Speaker 3: how coaches are already using AI to analyze tendencies of 488 00:27:40,040 --> 00:27:43,240 Speaker 3: opponents and that sort of thing. They use the example 489 00:27:43,280 --> 00:27:45,439 Speaker 3: of there's a wide gulf between the math used to 490 00:27:45,480 --> 00:27:49,440 Speaker 3: optimize fourth down decisions and a voiced AI agent telling 491 00:27:49,440 --> 00:27:51,920 Speaker 3: you to look out for the weak side linebacker while 492 00:27:51,920 --> 00:27:54,240 Speaker 3: you're sitting alone in your office on a Tuesday night. 493 00:27:54,840 --> 00:27:58,040 Speaker 3: This assistant coach, who's the offensive coordinator for the Falcon says, 494 00:27:58,359 --> 00:27:59,720 Speaker 3: I'm getting a little scared. 495 00:28:00,400 --> 00:28:03,360 Speaker 2: Yeah, I could see where this would go very quickly, 496 00:28:04,920 --> 00:28:08,399 Speaker 2: can't you. I mean, and there are I mean without 497 00:28:08,400 --> 00:28:10,159 Speaker 2: even thinking of reading with this or thinking about it. 498 00:28:10,160 --> 00:28:14,560 Speaker 2: I just AI could crunch the last five years of 499 00:28:14,600 --> 00:28:19,879 Speaker 2: all the plays. Say, look, eighty seven percent of the time, 500 00:28:20,480 --> 00:28:23,040 Speaker 2: the other team is going to do this in this situation, 501 00:28:24,280 --> 00:28:26,040 Speaker 2: and you react to it, and then that will be 502 00:28:26,280 --> 00:28:29,200 Speaker 2: cool up until the point that it's just AI against AI. 503 00:28:29,920 --> 00:28:34,560 Speaker 2: You know, a season from now, Uh, your computer telling. 504 00:28:34,320 --> 00:28:36,520 Speaker 3: You what play to run in their computer are telling 505 00:28:36,880 --> 00:28:39,200 Speaker 3: them how to counter it and having a pretty good 506 00:28:39,200 --> 00:28:45,560 Speaker 3: idea what's coming. And they're talking about coaches being replaced entirely, 507 00:28:45,600 --> 00:28:49,200 Speaker 3: but teams already have. This guy was hired by the 508 00:28:49,480 --> 00:28:53,960 Speaker 3: Raiders as the head coach research specialist, but the job 509 00:28:54,000 --> 00:28:58,720 Speaker 3: may be better understood as AI coordinator. He uses AI 510 00:28:58,920 --> 00:29:01,680 Speaker 3: every single day. This is clearly going to happen. I 511 00:29:01,720 --> 00:29:03,680 Speaker 3: don't know why I hadn't thought about this before. This 512 00:29:03,800 --> 00:29:06,800 Speaker 3: is clearly going to happen. You got super smart people 513 00:29:06,800 --> 00:29:10,120 Speaker 3: who study like like maniacs. 514 00:29:10,000 --> 00:29:13,160 Speaker 2: For this stuff to make decisions in the like forty 515 00:29:13,160 --> 00:29:15,840 Speaker 2: five seconds you have before between plays or whatever it is, 516 00:29:16,400 --> 00:29:18,000 Speaker 2: and now AI is going to be able to do it. 517 00:29:19,360 --> 00:29:20,280 Speaker 2: Let me read you some of this. 518 00:29:20,520 --> 00:29:22,680 Speaker 3: I feel pretty confident saying that some team is going 519 00:29:22,720 --> 00:29:25,160 Speaker 3: to win a super Bowl in the next few years 520 00:29:25,240 --> 00:29:28,360 Speaker 3: utilizing AI at a very high rate, significantly higher than 521 00:29:28,400 --> 00:29:29,520 Speaker 3: it's ever been used before. 522 00:29:29,600 --> 00:29:30,200 Speaker 2: Said this coach. 523 00:29:30,440 --> 00:29:34,200 Speaker 3: It's really an opportunity to differentiate your differentiate yourself from 524 00:29:34,240 --> 00:29:36,320 Speaker 3: a team that might have a more talented roster. 525 00:29:36,160 --> 00:29:37,200 Speaker 2: Better coaches or whatnot. 526 00:29:37,200 --> 00:29:38,640 Speaker 3: The ruin there, there's going to be more and more 527 00:29:38,680 --> 00:29:41,360 Speaker 3: separation with teams that are have bought in. 528 00:29:41,800 --> 00:29:45,520 Speaker 2: Yeah, they might have to outlaw that. I mean, because 529 00:29:45,560 --> 00:29:50,360 Speaker 2: it's similar to when computers got better at chess than 530 00:29:50,440 --> 00:29:52,920 Speaker 2: humans and people thought that'd be the end of chess 531 00:29:53,000 --> 00:29:55,960 Speaker 2: or whatever. No, people still like watching the best humans 532 00:29:56,000 --> 00:29:58,760 Speaker 2: play each other, even though they're a computer out there 533 00:29:58,760 --> 00:30:01,440 Speaker 2: could beat either one of them. Who cares you still 534 00:30:01,440 --> 00:30:03,120 Speaker 2: want to know who the best human is. I think 535 00:30:03,240 --> 00:30:06,280 Speaker 2: knowing who the best humans are at guests in the 536 00:30:06,280 --> 00:30:11,720 Speaker 2: plays is more fun than two computers battling it out right, 537 00:30:11,840 --> 00:30:12,680 Speaker 2: You're right. 538 00:30:12,800 --> 00:30:15,680 Speaker 3: It'll be so interesting to see how the league and 539 00:30:15,720 --> 00:30:18,479 Speaker 3: the rules adapt to this and how people will then cheat. 540 00:30:19,200 --> 00:30:21,520 Speaker 3: Because they're talking about there are systems that can watch 541 00:30:21,720 --> 00:30:25,360 Speaker 3: game film, sure of multiple teams, multiple games to analyze 542 00:30:25,360 --> 00:30:29,600 Speaker 3: it come up with the probabilities. The next layer, they say, 543 00:30:29,680 --> 00:30:34,080 Speaker 3: is understanding personnel as well, because, as they put it, 544 00:30:34,160 --> 00:30:36,400 Speaker 3: fourth and one with Mike Vick and Algae Crumpler looks 545 00:30:36,400 --> 00:30:38,320 Speaker 3: a lot different than Fourth and one with Kirk Cousins 546 00:30:38,320 --> 00:30:41,080 Speaker 3: and Kyle Bitts. Hey, I will figure that out because 547 00:30:41,080 --> 00:30:44,040 Speaker 3: they can take it into much information. Give it a week, 548 00:30:44,480 --> 00:30:49,360 Speaker 3: they ai. Yeah, so, okay, well that is very interesting. 549 00:30:49,400 --> 00:30:51,280 Speaker 2: That will ruin the sport for a season or two 550 00:30:51,640 --> 00:30:56,800 Speaker 2: before they have to get rid of it. Wow. 551 00:30:57,200 --> 00:30:59,240 Speaker 3: I had never even thought of that, but that's clearly 552 00:30:59,280 --> 00:30:59,960 Speaker 3: going to happen. 553 00:31:01,080 --> 00:31:09,040 Speaker 4: Jack Armstrong and Joe Getty, The Armstrong and Getty Show, 554 00:31:09,720 --> 00:31:14,440 Speaker 4: The Armstrong and Getty Show. 555 00:31:14,800 --> 00:31:18,600 Speaker 5: Eight months after the election, Democrats are still trying to 556 00:31:18,680 --> 00:31:21,320 Speaker 5: dig themselves out of a hole. But a new poll 557 00:31:21,360 --> 00:31:24,840 Speaker 5: from the Wall Street Journal paints a bleak picture. It 558 00:31:24,880 --> 00:31:29,440 Speaker 5: reveals only thirty three percent of registered voters today view 559 00:31:29,520 --> 00:31:34,960 Speaker 5: Democrats favorably, while a staggering sixty three percent see them negatively. 560 00:31:35,440 --> 00:31:39,720 Speaker 5: That's the worst rating from the same poll since nineteen ninety. 561 00:31:39,600 --> 00:31:43,160 Speaker 3: At Sayisha Hasny on special report last night with Brett 562 00:31:43,160 --> 00:31:49,920 Speaker 3: Brett Bear Fox News slash so Yes analysis in a moment, 563 00:31:50,000 --> 00:31:54,080 Speaker 3: I found this next segment pretty interesting, though, go ahead, Aisha. 564 00:31:54,200 --> 00:31:55,720 Speaker 2: We're in the dog house yet again. 565 00:31:55,800 --> 00:31:58,280 Speaker 3: We certainly do have a problem, and it's a messaging problem. 566 00:31:58,360 --> 00:32:01,920 Speaker 5: If messaging is the problem, the new poll signals Democrats 567 00:32:01,960 --> 00:32:06,680 Speaker 5: attacking President Trump isn't working at least yet. That's because 568 00:32:06,720 --> 00:32:11,000 Speaker 5: even when more voters disapprove of Trump on issues like inflation, 569 00:32:11,600 --> 00:32:16,480 Speaker 5: they still trust congressional Republicans more than Democrats to handle 570 00:32:16,520 --> 00:32:20,360 Speaker 5: that issue by a whopping ten points. On immigration, the 571 00:32:20,440 --> 00:32:24,680 Speaker 5: same thing, More voters disapprove of Trump's handling of the matter, 572 00:32:24,960 --> 00:32:29,200 Speaker 5: but Republicans once again are trusted more than Democrats to 573 00:32:29,280 --> 00:32:29,720 Speaker 5: manage it. 574 00:32:29,800 --> 00:32:30,000 Speaker 2: Yeah. 575 00:32:30,040 --> 00:32:30,360 Speaker 3: I don't know. 576 00:32:30,720 --> 00:32:32,720 Speaker 2: I don't know if I believe this analysis that people 577 00:32:32,760 --> 00:32:36,080 Speaker 2: have been going with. I think it's the crazy factor. 578 00:32:36,840 --> 00:32:40,520 Speaker 2: It's the uh, I don't know. You've got a friend 579 00:32:40,600 --> 00:32:44,160 Speaker 2: who does a few things that are just so crazy 580 00:32:44,560 --> 00:32:48,160 Speaker 2: you don't trust his judgment on anything else. I think 581 00:32:48,160 --> 00:32:52,000 Speaker 2: that's what's driving it. It's not that. Yeah, the Democrats 582 00:32:52,120 --> 00:32:56,560 Speaker 2: view of the economy is specifically blah blah blah. It said, 583 00:32:56,720 --> 00:33:00,120 Speaker 2: you're the people that want boys plan girls' sports. Here 584 00:33:00,120 --> 00:33:02,440 Speaker 2: are the people that want me to say LATINEX, you're 585 00:33:02,440 --> 00:33:04,280 Speaker 2: the people that think we shouldn't have police. 586 00:33:04,760 --> 00:33:06,920 Speaker 3: I don't trust you on anything. I think it's the 587 00:33:06,960 --> 00:33:09,360 Speaker 3: crazy factor. Yeah, you put a grown man in my 588 00:33:09,400 --> 00:33:13,360 Speaker 3: little girl's locker room. Yeah, exactly. But to her point though, 589 00:33:13,440 --> 00:33:16,920 Speaker 3: and it's not in contrast to your point, it's agreeing 590 00:33:17,040 --> 00:33:21,200 Speaker 3: with it. So like on inflation and rising prices, Trump 591 00:33:21,360 --> 00:33:27,040 Speaker 3: is eleven points underwater, okay, but the Republicans in general 592 00:33:27,680 --> 00:33:32,480 Speaker 3: are ten points to the positive. So what Trump's doing 593 00:33:32,560 --> 00:33:37,320 Speaker 3: right now on immigration he sees just three points underwater, 594 00:33:37,600 --> 00:33:42,240 Speaker 3: but generally speaking, Republicans that are Democrats seventeen. 595 00:33:41,640 --> 00:33:44,600 Speaker 2: Point advantage for Republicans. 596 00:33:45,040 --> 00:33:48,960 Speaker 3: So there are momentarily momentary quibbles with the way Trump 597 00:33:49,040 --> 00:33:52,440 Speaker 3: is approaching this, that or the other, But in terms 598 00:33:52,480 --> 00:33:56,040 Speaker 3: of general philosophy that I don't care. I want the Republicans, 599 00:33:56,400 --> 00:33:58,640 Speaker 3: which again I don't think disagrees with your point. 600 00:33:58,680 --> 00:33:59,960 Speaker 2: I think it agrees with it. 601 00:34:00,480 --> 00:34:02,880 Speaker 3: Why do they have that percent or why do they 602 00:34:02,960 --> 00:34:05,640 Speaker 3: lean so strongly that way? Because they think the Democrats 603 00:34:05,640 --> 00:34:11,839 Speaker 3: have lost their effing minds. Let's see, So the Democrats 604 00:34:11,880 --> 00:34:17,960 Speaker 3: are thirty three percent favorable, sixty three percent unfavorable, far 605 00:34:18,080 --> 00:34:20,960 Speaker 3: weaker assessment than voters give to either President Trump or 606 00:34:21,000 --> 00:34:24,840 Speaker 3: the Republican Party. Yeah, they're underwater, but of course political 607 00:34:24,880 --> 00:34:27,560 Speaker 3: parties ought to be underwater. Number when you got their opponents, 608 00:34:27,560 --> 00:34:32,160 Speaker 3: and number two you got neutrals or independents and their 609 00:34:32,200 --> 00:34:34,440 Speaker 3: own party members who would like them to change what they're. 610 00:34:34,239 --> 00:34:34,799 Speaker 2: Doing a little bit. 611 00:34:34,840 --> 00:34:39,640 Speaker 3: But anyway, Trump is seven percent underwater and Republicans are 612 00:34:39,680 --> 00:34:44,239 Speaker 3: eleven percent underwater. But again keep in mind, the Democrats 613 00:34:44,280 --> 00:34:46,480 Speaker 3: are thirty points underwater. 614 00:34:46,680 --> 00:34:49,600 Speaker 2: Yeah, as always that number of people that are unhappy 615 00:34:49,640 --> 00:34:51,960 Speaker 2: with the Democrats, it's a certain chunk who think they're crazy, 616 00:34:52,040 --> 00:34:53,960 Speaker 2: like I was just talking about, and a certain chunk, 617 00:34:54,000 --> 00:34:56,239 Speaker 2: smaller chunk, but a certain chunk that thinks they haven't 618 00:34:56,239 --> 00:34:58,520 Speaker 2: gone far enough, they haven't stuck to their guns on 619 00:34:59,280 --> 00:35:02,000 Speaker 2: trans issues and defunding the police and climate change and 620 00:35:02,040 --> 00:35:03,440 Speaker 2: all the other important things. 621 00:35:03,640 --> 00:35:06,600 Speaker 3: Which is even worse news really, But a mere eight 622 00:35:06,760 --> 00:35:10,960 Speaker 3: percent of voters view the Democrats very favorably, two and 623 00:35:11,000 --> 00:35:14,719 Speaker 3: a half times as many have the same level of 624 00:35:14,920 --> 00:35:16,200 Speaker 3: enthusiasm for the GOP. 625 00:35:17,960 --> 00:35:21,360 Speaker 2: I we got a long way to go on what direction? 626 00:35:21,600 --> 00:35:23,279 Speaker 2: You know what the Democratic Party is going to look 627 00:35:23,360 --> 00:35:28,000 Speaker 2: like next presidential election? But I keep hearing people like 628 00:35:28,080 --> 00:35:32,360 Speaker 2: smart people throughout AOC is the current front runner slash 629 00:35:32,400 --> 00:35:35,319 Speaker 2: face of the Democratic Party, and she probably is. 630 00:35:35,800 --> 00:35:39,480 Speaker 3: Who else would have doomed they are doomed, doomed if 631 00:35:39,920 --> 00:35:43,480 Speaker 3: it was you that that go ahead, try it. I 632 00:35:43,480 --> 00:35:45,799 Speaker 3: don't know who else would it be as a rhetorical question, 633 00:35:45,840 --> 00:35:49,480 Speaker 3: but the answer is a blue state governor who's a moderate. 634 00:35:49,560 --> 00:35:51,000 Speaker 2: Yeah, but it's got to be a human being so 635 00:35:51,080 --> 00:35:52,759 Speaker 2: that Yeah, you're right, but it's got to be an 636 00:35:52,800 --> 00:35:54,160 Speaker 2: actual name at some point. 637 00:35:54,800 --> 00:35:56,720 Speaker 3: I mean, I could throw out a list, but nobody. 638 00:35:56,760 --> 00:36:00,680 Speaker 3: Nobody's talking about Bill Clinton. Nobody's talking about Clinton even 639 00:36:00,719 --> 00:36:01,399 Speaker 3: after he entered 640 00:36:01,400 --> 00:36:04,040 Speaker 1: The Armstrong and Getty