1 00:00:09,720 --> 00:00:14,040 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:14,080 --> 00:00:18,080 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe, Katty. 3 00:00:18,040 --> 00:00:25,759 Speaker 2: Armstrong, and Jetty and He Armstrong and Getty Strong and 4 00:00:28,520 --> 00:00:29,800 Speaker 2: so Chuck Schumer was on the view. 5 00:00:29,840 --> 00:00:31,920 Speaker 3: Yet he's making the rounds because he's got this book out, 6 00:00:31,960 --> 00:00:33,640 Speaker 3: which I actually heard a little bit about it. I'm 7 00:00:33,640 --> 00:00:35,440 Speaker 3: glad he wrote it, and it's kind of interesting. He's 8 00:00:35,440 --> 00:00:38,880 Speaker 3: worried about the rise of anti Semitism in the United States, 9 00:00:38,880 --> 00:00:41,879 Speaker 3: including in his own party among your college kids. 10 00:00:41,680 --> 00:00:43,680 Speaker 2: And he's out talking about it. So that's kind of cool. 11 00:00:43,960 --> 00:00:47,920 Speaker 3: Chuck Schumer is an ancient Democratic Senator from New York 12 00:00:48,479 --> 00:00:50,840 Speaker 3: who has been majority leader in the senat a various times. 13 00:00:50,840 --> 00:00:54,960 Speaker 3: Now he's the minority leader. He is the king of 14 00:00:55,000 --> 00:00:59,880 Speaker 3: the Senate on the Democrat side. So he got some 15 00:01:00,080 --> 00:01:04,080 Speaker 3: blowback last week because he went along with the Republican 16 00:01:04,640 --> 00:01:08,160 Speaker 3: legislation that kept the government open and the aocs of 17 00:01:08,200 --> 00:01:11,760 Speaker 3: the world that wing Bernie Sanders, Elizabeth Warren, those people 18 00:01:11,800 --> 00:01:14,480 Speaker 3: wanted to shut down the government. Chuck Schumer said there 19 00:01:14,520 --> 00:01:20,360 Speaker 3: was no win in it, and Nancy Pelosi yesterday said 20 00:01:22,080 --> 00:01:24,679 Speaker 3: she kind of hit him with a little uh. She 21 00:01:24,800 --> 00:01:28,080 Speaker 3: still supports him, but I don't believe in giving something 22 00:01:28,120 --> 00:01:33,199 Speaker 3: away for nothing. She said after that, in that Chuck 23 00:01:33,240 --> 00:01:36,000 Speaker 3: went along with it but didn't get anything, which is true. 24 00:01:36,080 --> 00:01:37,920 Speaker 3: Nancy Pelosi was good at that. Trump's good at that. 25 00:01:38,880 --> 00:01:40,800 Speaker 2: If you're going to get something from me, I'm gonna 26 00:01:40,840 --> 00:01:41,560 Speaker 2: get something from you. 27 00:01:41,880 --> 00:01:45,680 Speaker 3: Always. If only they knew what they wanted. Really, maybe 28 00:01:45,720 --> 00:01:48,280 Speaker 3: that's a problem. They're so scattered anyway, I didn't mean 29 00:01:48,320 --> 00:01:50,320 Speaker 3: to talk about that. So he's on the view and 30 00:01:50,360 --> 00:01:52,040 Speaker 3: he said something that really bothered me. 31 00:01:52,080 --> 00:01:54,280 Speaker 4: So we'll start here the Republican Party. 32 00:01:54,400 --> 00:01:55,920 Speaker 3: Wait wait wait wait wait wait wait wait wait wait 33 00:01:55,920 --> 00:01:57,520 Speaker 3: wait wait. I don't want that yet. Where we were going 34 00:01:57,560 --> 00:02:01,200 Speaker 3: to start with, remember Jerry Brown to start here. This 35 00:02:01,440 --> 00:02:05,480 Speaker 3: goes back to the governor of California few years back. 36 00:02:05,600 --> 00:02:08,560 Speaker 3: Four term governor. He was the youngest governor of California 37 00:02:08,560 --> 00:02:10,560 Speaker 3: for two terms. That he was the oldest governor in 38 00:02:10,639 --> 00:02:13,960 Speaker 3: California for two terms. He did date a young Linda Ronstadt, 39 00:02:14,000 --> 00:02:15,160 Speaker 3: which is a featheries cap. 40 00:02:15,600 --> 00:02:17,680 Speaker 2: Mmm. You can't take that away from aw. 41 00:02:18,880 --> 00:02:23,919 Speaker 3: Yeah, but he once said this about the way economics works. 42 00:02:23,960 --> 00:02:25,520 Speaker 2: I guess those. 43 00:02:25,320 --> 00:02:29,880 Speaker 5: Who have been blessed the most, who have disproportionately extracted 44 00:02:29,960 --> 00:02:33,440 Speaker 5: by whatever skill, more and more from the national wealth. 45 00:02:33,600 --> 00:02:36,120 Speaker 2: They're going to have to share more of that. It's 46 00:02:36,200 --> 00:02:40,919 Speaker 2: on the idea of paying taxes that those who have. 47 00:02:42,480 --> 00:02:47,799 Speaker 3: Disproportionately extracted from the economy more from the national wealth. 48 00:02:47,800 --> 00:02:48,880 Speaker 2: From the national wealth. 49 00:02:49,280 --> 00:02:56,200 Speaker 1: So success is taking money from the nation. It's not 50 00:02:56,440 --> 00:03:01,960 Speaker 1: creating jobs and money and products and greater wealth for everyone. No, 51 00:03:02,120 --> 00:03:04,960 Speaker 1: it's a limited pie. And you took more than your 52 00:03:05,000 --> 00:03:07,360 Speaker 1: share by building a successful business. 53 00:03:07,400 --> 00:03:10,280 Speaker 3: Well, and it's not yours, it's the nations and the 54 00:03:10,360 --> 00:03:13,840 Speaker 3: steward of that money is the government, which we get 55 00:03:13,880 --> 00:03:16,840 Speaker 3: to here with Juck Schumer on the view when he 56 00:03:16,919 --> 00:03:18,160 Speaker 3: said this yesterday. 57 00:03:18,440 --> 00:03:21,799 Speaker 5: The Republican Party is a different kettle of fish than 58 00:03:21,800 --> 00:03:23,880 Speaker 5: it used to be, and that's why we're fighting them 59 00:03:23,880 --> 00:03:28,280 Speaker 5: so hard. They are controlled by a small group of wealthy, 60 00:03:28,520 --> 00:03:31,480 Speaker 5: greedy people. And you know what their attitude is. I 61 00:03:31,600 --> 00:03:35,000 Speaker 5: made my money all by myself. How dare your government 62 00:03:35,040 --> 00:03:37,320 Speaker 5: take my money from me. I don't want to pay taxes, 63 00:03:37,680 --> 00:03:40,240 Speaker 5: or I built my company with my bare hands. How 64 00:03:40,320 --> 00:03:43,600 Speaker 5: dare your government tell me how I should treat my customers, 65 00:03:45,040 --> 00:03:48,760 Speaker 5: the land and water that I own, or my employees. 66 00:03:49,080 --> 00:03:50,280 Speaker 4: They hate governments. 67 00:03:50,600 --> 00:03:54,120 Speaker 5: Government's a barrier to people, a barrier to stop them 68 00:03:54,120 --> 00:03:56,040 Speaker 5: from doing things they want to destroy it. 69 00:03:56,280 --> 00:03:58,640 Speaker 4: We are not letting them do it, and we're united. 70 00:03:59,240 --> 00:04:01,040 Speaker 2: So again that in there. 71 00:04:02,680 --> 00:04:06,760 Speaker 3: These greedy people who make money who want to keep 72 00:04:06,760 --> 00:04:08,920 Speaker 3: more of their money. Their attitude is, I made my 73 00:04:09,000 --> 00:04:12,120 Speaker 3: money all by myself. How dare your government take my 74 00:04:12,240 --> 00:04:12,920 Speaker 3: money from me? 75 00:04:14,400 --> 00:04:14,640 Speaker 4: Yeah? 76 00:04:14,680 --> 00:04:21,159 Speaker 3: Well summarized, and so that's an interesting philosophical breakdown. I know, 77 00:04:21,320 --> 00:04:24,919 Speaker 3: I know people personally who believe that and think that way. 78 00:04:25,720 --> 00:04:29,279 Speaker 3: That you're out there going to work making money, I 79 00:04:29,320 --> 00:04:32,039 Speaker 3: guess for the government. It runs through the government, and 80 00:04:32,080 --> 00:04:33,360 Speaker 3: then you get to keep some of it. 81 00:04:33,560 --> 00:04:35,000 Speaker 2: But it's the government's. 82 00:04:34,480 --> 00:04:37,120 Speaker 3: Money to spend on, you know, good things that make 83 00:04:37,160 --> 00:04:39,480 Speaker 3: everybody better, happier, or something like it. 84 00:04:40,120 --> 00:04:43,000 Speaker 1: And other people will, through the government, take your money 85 00:04:43,000 --> 00:04:46,400 Speaker 1: from you as much as they decide is proper, and 86 00:04:46,440 --> 00:04:50,360 Speaker 1: they will let you keep some of it. Perhaps, as 87 00:04:50,400 --> 00:04:53,160 Speaker 1: the great Thomas Soul said so famously, I have never 88 00:04:53,279 --> 00:04:55,880 Speaker 1: understood why it is greed to want to keep the 89 00:04:55,920 --> 00:04:58,800 Speaker 1: money you have earned, but not greed to want to 90 00:04:58,839 --> 00:05:01,360 Speaker 1: take someone else's mind. 91 00:05:04,320 --> 00:05:07,120 Speaker 3: I found that absolutely fascinating. I mean, that is some 92 00:05:07,279 --> 00:05:15,720 Speaker 3: big time philosophical disagreement on the structure of society. 93 00:05:17,360 --> 00:05:22,120 Speaker 1: Yes, and I would love to reduce our politics now 94 00:05:22,160 --> 00:05:24,440 Speaker 1: and again, maybe we can have one week a year 95 00:05:25,120 --> 00:05:28,880 Speaker 1: where we have learned, folks of you know, each side's 96 00:05:28,920 --> 00:05:32,480 Speaker 1: choosing debate in front of the nation, the notion of 97 00:05:32,760 --> 00:05:37,320 Speaker 1: either a what you earn is yours. Now we the 98 00:05:37,360 --> 00:05:39,159 Speaker 1: people ask you for a little bit of it to 99 00:05:39,240 --> 00:05:40,919 Speaker 1: help run the country. 100 00:05:40,600 --> 00:05:43,560 Speaker 2: Rhodes Police Army, et cetera, et cetera. 101 00:05:43,960 --> 00:05:49,000 Speaker 1: But indeed we have past laws saying the government gets 102 00:05:49,040 --> 00:05:52,800 Speaker 1: a little bit of it to run itself, versus the 103 00:05:52,839 --> 00:05:56,160 Speaker 1: folks who say, no, the government gets all of it. 104 00:05:56,200 --> 00:05:57,560 Speaker 2: If we decide to take. 105 00:05:57,360 --> 00:06:00,960 Speaker 1: All of it, it's not your money at all, it 106 00:06:01,000 --> 00:06:04,120 Speaker 1: never has been. That goes back and then I would 107 00:06:04,160 --> 00:06:06,880 Speaker 1: love then in the follow up a part my side 108 00:06:06,960 --> 00:06:10,159 Speaker 1: would would say, well, then why the hell would anybody 109 00:06:10,240 --> 00:06:13,240 Speaker 1: bust their ass to build a business if y'all are 110 00:06:13,279 --> 00:06:15,960 Speaker 1: going to take it all or half of it, which 111 00:06:16,000 --> 00:06:17,440 Speaker 1: is why socialism doesn't work. 112 00:06:17,600 --> 00:06:20,000 Speaker 3: Should have dug up the Barack Obama clip, the famous 113 00:06:20,000 --> 00:06:21,960 Speaker 3: one that he got beat up for a fair amount. 114 00:06:21,800 --> 00:06:25,040 Speaker 2: By anybody on the right. Anyway, you didn't build that. 115 00:06:25,440 --> 00:06:28,840 Speaker 3: It's the idea that government has put in place a 116 00:06:28,960 --> 00:06:32,039 Speaker 3: structure for you to go out and be successful, and 117 00:06:32,120 --> 00:06:34,760 Speaker 3: so you owe that money to the government because they 118 00:06:35,839 --> 00:06:39,440 Speaker 3: put all this together for you to be successful. The 119 00:06:39,440 --> 00:06:43,200 Speaker 3: government is the reason you're successful. That's what Chuck Schumer's saying. 120 00:06:43,680 --> 00:06:46,760 Speaker 1: Building a business with five hundred employees, it's like falling 121 00:06:46,800 --> 00:06:49,760 Speaker 1: off a log thanks to the government. 122 00:06:49,600 --> 00:06:50,880 Speaker 2: So we get most of it. 123 00:06:50,960 --> 00:06:52,960 Speaker 3: I mean, he used his mocking voice when he said, 124 00:06:53,080 --> 00:06:55,400 Speaker 3: I made my money all by myself. How dare your 125 00:06:55,400 --> 00:06:58,440 Speaker 3: government take my money from me? Okay, I'll say the 126 00:06:58,520 --> 00:07:01,840 Speaker 3: same thing in my regular voe. I made my money 127 00:07:02,240 --> 00:07:05,839 Speaker 3: all by myself. How dare the freaking government take it 128 00:07:05,880 --> 00:07:08,200 Speaker 3: from me? There, I said it without the mocking voice, 129 00:07:08,240 --> 00:07:09,880 Speaker 3: because that's what I actually believe. 130 00:07:11,160 --> 00:07:15,560 Speaker 1: I understand how a leech on the public like Chuck Schumer, 131 00:07:16,840 --> 00:07:20,040 Speaker 1: who like you know, Joe Biden or a thousand other 132 00:07:20,680 --> 00:07:24,280 Speaker 1: politicians on both sides of the aisle, have made their 133 00:07:24,320 --> 00:07:29,800 Speaker 1: wealth and their power purely from draining the vital fluids 134 00:07:29,800 --> 00:07:34,760 Speaker 1: of the American people. How actual production is foreign to them. 135 00:07:35,520 --> 00:07:39,320 Speaker 1: I'd love to have Mark Wayne Mullen talk to Chuck 136 00:07:39,320 --> 00:07:42,280 Speaker 1: Schumer about that. Mark Wayne Mullen, who built a He 137 00:07:42,400 --> 00:07:45,800 Speaker 1: was a plumber, he built a plumbing contracting business in Oklahoma, 138 00:07:46,160 --> 00:07:48,720 Speaker 1: became he's a senator now from Oklahoma. If you don't 139 00:07:48,720 --> 00:07:50,760 Speaker 1: know Mark Wayne, talk to him at the RNC. It 140 00:07:50,800 --> 00:07:54,520 Speaker 1: was great fun and very interesting. But have him discussed 141 00:07:54,600 --> 00:07:58,840 Speaker 1: with Chuck Schumer what it takes to build a business 142 00:07:59,600 --> 00:08:04,000 Speaker 1: as a to just you know, again, being a parasite 143 00:08:04,040 --> 00:08:05,800 Speaker 1: on the height of the American people. 144 00:08:07,280 --> 00:08:10,200 Speaker 3: That's something I mean that that I find that highly 145 00:08:10,320 --> 00:08:12,920 Speaker 3: troubling that that attitude even exists out there. 146 00:08:13,280 --> 00:08:15,000 Speaker 2: Let alone could win the day. 147 00:08:15,680 --> 00:08:18,360 Speaker 1: Well, yeah, the fact that Chuck Schumer promotes it is 148 00:08:18,360 --> 00:08:20,800 Speaker 1: not that shocking to me. The fact that tens of millions, 149 00:08:20,800 --> 00:08:24,520 Speaker 1: one hundred and fifty million Americans think the same way. 150 00:08:24,640 --> 00:08:25,760 Speaker 2: Now that bothers me. 151 00:08:26,280 --> 00:08:29,360 Speaker 5: I made my money all by myself. How dare your 152 00:08:29,440 --> 00:08:30,960 Speaker 5: government take my money from me. 153 00:08:31,000 --> 00:08:32,160 Speaker 4: I don't want to pay taxes. 154 00:08:32,480 --> 00:08:34,280 Speaker 3: You don't have to use the cartoonish voice. That's what 155 00:08:34,360 --> 00:08:36,280 Speaker 3: I actually believe, me and me and lots. 156 00:08:36,040 --> 00:08:39,200 Speaker 1: Of people, and I think virtually nobody says I don't 157 00:08:39,200 --> 00:08:42,199 Speaker 1: want to have to pay taxes. No, I don't want 158 00:08:42,240 --> 00:08:45,320 Speaker 1: to have to pay excessive taxes that are purely a 159 00:08:45,480 --> 00:08:50,160 Speaker 1: redistribution of wealth to gain you power, because I know 160 00:08:50,720 --> 00:08:54,840 Speaker 1: with one hundred percent certainty that's what you do. You 161 00:08:54,880 --> 00:08:58,960 Speaker 1: make moral arguments and compassionate arguments to get giant gobs 162 00:08:59,000 --> 00:09:01,520 Speaker 1: of money to enhance your own power and influence. 163 00:09:02,040 --> 00:09:04,439 Speaker 3: First of all, if you keep your money. Sometimes people 164 00:09:04,480 --> 00:09:06,800 Speaker 3: do things that are really good for society, you know, 165 00:09:06,880 --> 00:09:11,000 Speaker 3: build a rocket company or charity or whatever it is. 166 00:09:11,960 --> 00:09:13,720 Speaker 3: But what if you just go out and buy expensive 167 00:09:13,760 --> 00:09:17,120 Speaker 3: houses and cars if you're super wealthy for whatever reason. 168 00:09:17,240 --> 00:09:20,600 Speaker 3: It's Kensian when the government spreads money around because it's 169 00:09:20,640 --> 00:09:23,120 Speaker 3: just good spending money. But if an individual spends money, 170 00:09:23,120 --> 00:09:26,200 Speaker 3: it's not Kensian and not good for the economy. Is 171 00:09:26,240 --> 00:09:27,480 Speaker 3: fine with me, signed. 172 00:09:27,600 --> 00:09:30,800 Speaker 1: Everybody who worked on building that house end or car 173 00:09:31,040 --> 00:09:34,760 Speaker 1: end or services it or fixes that house or whatever, 174 00:09:35,000 --> 00:09:39,880 Speaker 1: or its restaurant and has employees. My final note on 175 00:09:39,880 --> 00:09:42,719 Speaker 1: this topic will be something I've said many times through 176 00:09:42,720 --> 00:09:45,000 Speaker 1: the years and will continue to if you will allow me. 177 00:09:45,120 --> 00:09:55,960 Speaker 1: You good people, imagine a charity that can feed, clothes, house, medicate, 178 00:09:56,160 --> 00:09:57,480 Speaker 1: and educate. 179 00:09:59,480 --> 00:10:02,600 Speaker 2: Thousands of children. Thousands of children. 180 00:10:03,440 --> 00:10:07,640 Speaker 1: That charity is called a business with employees who get 181 00:10:07,720 --> 00:10:12,080 Speaker 1: pay and benefits. You have accomplished all those things I 182 00:10:12,120 --> 00:10:15,120 Speaker 1: described by starting a successful business. 183 00:10:16,960 --> 00:10:19,079 Speaker 2: They don't see it that way. On the left, I 184 00:10:19,200 --> 00:10:19,600 Speaker 2: made my. 185 00:10:19,640 --> 00:10:22,960 Speaker 5: Money all by myself. How dare your government take my 186 00:10:23,080 --> 00:10:24,800 Speaker 5: money from me? I don't want to pay taxes? 187 00:10:25,480 --> 00:10:28,880 Speaker 1: True, that is true if this were not being broadcast live. 188 00:10:29,000 --> 00:10:31,840 Speaker 1: I have a simple two word response that rhymes with 189 00:10:32,080 --> 00:10:36,200 Speaker 1: duck whom. 190 00:10:38,600 --> 00:10:40,480 Speaker 2: The armstrong and getting shadows. 191 00:10:41,120 --> 00:10:44,160 Speaker 6: So when you think about these businesses and a one 192 00:10:44,200 --> 00:10:46,800 Speaker 6: hundred and five percent therapy put on them. 193 00:10:47,120 --> 00:10:48,240 Speaker 2: It's untenable for them. 194 00:10:48,280 --> 00:10:50,800 Speaker 6: They don't have the cash flow, they don't have the 195 00:10:50,880 --> 00:10:54,680 Speaker 6: access to capital, and it's basically locking up. 196 00:10:54,600 --> 00:10:56,400 Speaker 2: Production in the toy industry. 197 00:10:56,480 --> 00:11:00,320 Speaker 6: No toys are currently being produced in China, and they're 198 00:11:00,320 --> 00:11:03,120 Speaker 6: all reports that major retailers here in the US are 199 00:11:03,160 --> 00:11:04,640 Speaker 6: starting to actually cancel orders. 200 00:11:04,679 --> 00:11:06,880 Speaker 2: So so Christmas is at risk. 201 00:11:07,120 --> 00:11:11,640 Speaker 3: That's some economic expert on CNN yesterday on the lead, 202 00:11:11,720 --> 00:11:15,120 Speaker 3: Christmas is at risk. Toy companies can handle one hundred 203 00:11:15,160 --> 00:11:18,520 Speaker 3: and forty five percent tariff. At some point the rubber 204 00:11:18,600 --> 00:11:20,080 Speaker 3: is going to meet the road on this isn't it. 205 00:11:20,120 --> 00:11:22,560 Speaker 3: I mean we all were relieved, I guess to find 206 00:11:22,559 --> 00:11:24,240 Speaker 3: out iPhones aren't going to triple in price. 207 00:11:24,280 --> 00:11:25,400 Speaker 2: But there is all that other. 208 00:11:25,240 --> 00:11:28,240 Speaker 1: Stuff right, you know, part of me he wants to 209 00:11:28,360 --> 00:11:30,600 Speaker 1: urge that guy to watch how the Grinch stole Christmas 210 00:11:30,920 --> 00:11:34,640 Speaker 1: Christmas and be reminded that it came. It came, It 211 00:11:34,720 --> 00:11:37,800 Speaker 1: came without boxes and bushels and bags the rest of it. 212 00:11:37,920 --> 00:11:41,120 Speaker 2: Yeah, Christmas, isn't it risk? But he was talking about 213 00:11:41,240 --> 00:11:42,600 Speaker 2: toy retailers, so I get that. 214 00:11:42,960 --> 00:11:47,120 Speaker 1: You know, the ready fire aim nature of the tariffs 215 00:11:47,320 --> 00:11:49,760 Speaker 1: is I think going to be counterproductive, although I suspect 216 00:11:49,840 --> 00:11:51,360 Speaker 1: it's just going to lead to better trade deals. But 217 00:11:51,400 --> 00:11:54,800 Speaker 1: it was pointed out by some learned folks that if 218 00:11:54,840 --> 00:12:00,120 Speaker 1: you're a giant multinational conglomerate with lobbyists and perhaps a 219 00:12:00,200 --> 00:12:02,400 Speaker 1: tim cook who can pick up the phone and call 220 00:12:02,480 --> 00:12:05,240 Speaker 1: Donald Trump, you get a carve out. But all the 221 00:12:05,320 --> 00:12:09,640 Speaker 1: mom and pop businesses, all the small manufacturers, they don't. 222 00:12:09,720 --> 00:12:12,880 Speaker 1: They're gonna be you know, put out of business, right 223 00:12:13,520 --> 00:12:17,680 Speaker 1: because they can't on shore their inputs fast enough bankrupt, 224 00:12:17,720 --> 00:12:20,199 Speaker 1: which is the main from the right big critique of 225 00:12:20,280 --> 00:12:23,559 Speaker 1: tariffs in general, that it ends up being I mean, 226 00:12:23,559 --> 00:12:29,199 Speaker 1: you're like creating a reason for people to get special 227 00:12:29,240 --> 00:12:32,120 Speaker 1: treatment or do things to get special treatment. 228 00:12:32,800 --> 00:12:35,600 Speaker 2: Right, Yeah, it enriches the swamp. 229 00:12:35,960 --> 00:12:39,560 Speaker 1: I was just texting with somebody who said they were 230 00:12:39,600 --> 00:12:42,320 Speaker 1: about to do something, it doesn't matter what, and I said, 231 00:12:42,400 --> 00:12:46,200 Speaker 1: you're brave, Gail King, brave. I wonder if that will 232 00:12:46,240 --> 00:12:52,560 Speaker 1: catch on as like, well, you're like Gail King brave 233 00:12:52,600 --> 00:12:53,959 Speaker 1: there congratulations. 234 00:12:54,440 --> 00:12:55,480 Speaker 2: Yeah, yeah. 235 00:12:55,600 --> 00:12:59,920 Speaker 1: Oh, speaking of economic occurrence and stuff like that, there's 236 00:13:00,080 --> 00:13:04,679 Speaker 1: a lot of talk of recession because of the tariffs. 237 00:13:04,240 --> 00:13:06,920 Speaker 2: And all and how it shakes out. Nobody knows exactly. 238 00:13:06,920 --> 00:13:08,800 Speaker 2: We're not already be in one of many according to 239 00:13:08,800 --> 00:13:10,120 Speaker 2: many economists. 240 00:13:10,400 --> 00:13:12,319 Speaker 1: Well that's right, And I came across this from the 241 00:13:12,360 --> 00:13:14,120 Speaker 1: Wall Street Journal, which I thought was kind of a 242 00:13:14,160 --> 00:13:18,000 Speaker 1: good reminder what is a recession and how when will 243 00:13:18,040 --> 00:13:20,760 Speaker 1: we know if we are in one? Now, that common 244 00:13:20,800 --> 00:13:23,120 Speaker 1: rule of thumb is that two consecutive quarters of declining 245 00:13:23,120 --> 00:13:25,959 Speaker 1: griss product counts as a recession, the. 246 00:13:25,960 --> 00:13:29,600 Speaker 3: Last if it's during the Biden administration run, and that 247 00:13:29,640 --> 00:13:30,280 Speaker 3: doesn't run out. 248 00:13:30,960 --> 00:13:34,800 Speaker 1: But the GDP is not the criterion used by the 249 00:13:34,880 --> 00:13:38,680 Speaker 1: National Bureau of Economic Research, which is the long standing 250 00:13:38,800 --> 00:13:43,319 Speaker 1: arbiter of US recessions among economists, government officials, policymakers, and 251 00:13:43,360 --> 00:13:48,760 Speaker 1: news organizations including the Wall Street Journal. The NBR recession 252 00:13:48,840 --> 00:13:52,120 Speaker 1: dates are determined by its prosaically named quote Business Cycle 253 00:13:52,240 --> 00:13:56,839 Speaker 1: Dating Committee, a group of eight academic academic economists, some 254 00:13:56,880 --> 00:13:59,520 Speaker 1: of whom have been members of the committee for decades. 255 00:13:59,720 --> 00:14:01,880 Speaker 1: What I look for in order to make a recession 256 00:14:01,920 --> 00:14:05,160 Speaker 1: call this quote a significant decline in economic activity that 257 00:14:05,200 --> 00:14:07,760 Speaker 1: has spread across the economy and lasts more than a 258 00:14:07,760 --> 00:14:08,360 Speaker 1: few months. 259 00:14:09,000 --> 00:14:13,959 Speaker 2: Well, it's pretty employment wishy washy. Oh, it's very wishy washy. Yeah. 260 00:14:14,200 --> 00:14:17,760 Speaker 1: The main indicators they watch are on our employment, inflation 261 00:14:17,840 --> 00:14:22,040 Speaker 1: adjusted personal income, real consumer spending, real manufacturing and trade, 262 00:14:22,080 --> 00:14:24,160 Speaker 1: industry sales, and industrial production. 263 00:14:24,240 --> 00:14:27,680 Speaker 3: Well that's there's a democrat in office. Well, yeah, that's interesting. 264 00:14:27,760 --> 00:14:30,480 Speaker 3: So it's a little bit of like, that's just your opinion, man. 265 00:14:30,600 --> 00:14:33,160 Speaker 3: And I always remember a guy I knew ran his 266 00:14:33,200 --> 00:14:36,000 Speaker 3: own business. He was a very successful ange his own business. 267 00:14:36,000 --> 00:14:40,040 Speaker 3: And this was years ago, like mid two thousand and five. 268 00:14:40,080 --> 00:14:42,960 Speaker 3: I can remember and him saying we're in a recession. 269 00:14:43,200 --> 00:14:45,680 Speaker 3: And we weren't like officially in a recession, and he 270 00:14:45,760 --> 00:14:47,760 Speaker 3: said we're in a recession. And I was like, wow, 271 00:14:47,800 --> 00:14:50,280 Speaker 3: that's interesting that you just said that out loud when 272 00:14:51,240 --> 00:14:52,520 Speaker 3: you know it hasn't been declared. 273 00:14:53,160 --> 00:14:56,000 Speaker 2: And in this case, it ended up being declared. The 274 00:14:56,040 --> 00:14:56,640 Speaker 2: next quarter. 275 00:14:56,680 --> 00:14:59,720 Speaker 3: He had already felt it, But I thought at the time, well, 276 00:14:59,760 --> 00:15:01,480 Speaker 3: even if it's not for the rest of the United States, 277 00:15:01,520 --> 00:15:03,800 Speaker 3: if it is for your industry here, that's all that 278 00:15:03,840 --> 00:15:04,680 Speaker 3: matters to you. 279 00:15:05,080 --> 00:15:07,440 Speaker 2: So this is kind of a stupid term. 280 00:15:07,960 --> 00:15:09,800 Speaker 3: It's kind of like we always talk about when they 281 00:15:09,840 --> 00:15:12,760 Speaker 3: give you a national real estate to statistics. What's the 282 00:15:12,920 --> 00:15:16,320 Speaker 3: point of that more homes were sold last year than 283 00:15:16,320 --> 00:15:19,680 Speaker 3: this year. Well that's I don't even know if that 284 00:15:19,920 --> 00:15:22,920 Speaker 3: number is useful to anybody, but it's certainly not useful 285 00:15:22,960 --> 00:15:26,440 Speaker 3: to your state, county, neighborhood or whatever. 286 00:15:27,760 --> 00:15:30,600 Speaker 1: Well, my only argument against that would be that if 287 00:15:30,840 --> 00:15:38,480 Speaker 1: your policies cause one those policies should be reviewed and criticized. Yeah, 288 00:15:38,720 --> 00:15:40,640 Speaker 1: so it helps to be able to say, in even 289 00:15:40,680 --> 00:15:43,120 Speaker 1: a semi concrete way, hey, this isn't working. 290 00:15:43,200 --> 00:15:47,920 Speaker 2: It's hurting the economy. Right. But yeah, that makes sense. 291 00:15:49,000 --> 00:15:52,320 Speaker 1: But it's not what the media portrays it to be 292 00:15:52,520 --> 00:15:56,720 Speaker 1: some sort of all encompassing It's not a diagnosis with cancer. 293 00:15:57,440 --> 00:16:01,880 Speaker 1: It's just okay, things are not growing, economics or what's 294 00:16:01,880 --> 00:16:02,240 Speaker 1: going on. 295 00:16:02,320 --> 00:16:05,360 Speaker 3: If your industry on the entire West Coast is suffering 296 00:16:05,400 --> 00:16:08,480 Speaker 3: because of something the weather or whatever, you're in a 297 00:16:08,520 --> 00:16:11,240 Speaker 3: recession every bit as much as if they declared a 298 00:16:11,320 --> 00:16:15,320 Speaker 3: national recession. Yeah, so, yeah, I'm not sure that term 299 00:16:15,360 --> 00:16:18,800 Speaker 3: means that much to me anymore. What you said makes sense. 300 00:16:21,320 --> 00:16:24,000 Speaker 3: And again they changed the definition of it or went 301 00:16:24,040 --> 00:16:27,680 Speaker 3: with the specific definition of it when it applied to 302 00:16:27,760 --> 00:16:31,920 Speaker 3: Joe Biden, because by the definition we'd all been using 303 00:16:31,920 --> 00:16:33,960 Speaker 3: our entire adult lives, we were in a recession, and 304 00:16:34,000 --> 00:16:38,160 Speaker 3: they didn't want that to be true. Right, yep, what evs? 305 00:16:38,440 --> 00:16:41,920 Speaker 2: Yeah, I know, and I've lived through I can't. 306 00:16:41,760 --> 00:16:45,080 Speaker 3: Even tell you how many in my life, ten twelve, 307 00:16:45,160 --> 00:16:47,880 Speaker 3: I don't know, thirty, I don't even know, which is 308 00:16:47,920 --> 00:16:50,400 Speaker 3: part of my point. They come and go and we're 309 00:16:50,440 --> 00:16:52,760 Speaker 3: all fine, and you know, I don't want it to happen. 310 00:16:52,800 --> 00:16:54,600 Speaker 3: But it's not like the end of the world. 311 00:16:55,040 --> 00:16:56,920 Speaker 1: Well right, And there have been upsides, Like I've gotten 312 00:16:56,960 --> 00:16:59,320 Speaker 1: used to the taste of human flesh. There's been so 313 00:16:59,400 --> 00:17:02,280 Speaker 1: much cannibal during the recessions. 314 00:17:02,840 --> 00:17:05,000 Speaker 2: Yeah, it's his old hat. For me, it's the other 315 00:17:05,040 --> 00:17:07,960 Speaker 2: white meat. As far as I'm concerned, Armstrong and Getty 316 00:17:08,040 --> 00:17:12,600 Speaker 2: show to arms Strong and Geddy on demand. We're not boring. 317 00:17:12,640 --> 00:17:15,120 Speaker 2: A lot of news is boring and tedious and depressing. 318 00:17:15,240 --> 00:17:17,640 Speaker 2: It makes you angry. You don't want to live your 319 00:17:17,640 --> 00:17:18,400 Speaker 2: life like that. 320 00:17:18,800 --> 00:17:21,639 Speaker 1: Hey, I'm Jack Armstrong, He's Joe Getty. We're Armstrong in Geeddy. 321 00:17:21,680 --> 00:17:23,240 Speaker 1: We try to bring you the truth and help you 322 00:17:23,280 --> 00:17:25,119 Speaker 1: figure out this crazy modern world. 323 00:17:25,160 --> 00:17:27,840 Speaker 7: I know something about a comedic tone. 324 00:17:30,000 --> 00:17:31,440 Speaker 2: We have a one arm Yes. 325 00:17:32,240 --> 00:17:35,280 Speaker 1: Listen to Armstrong You Getty on demand on the iHeartRadio app, 326 00:17:35,280 --> 00:17:39,760 Speaker 1: Apple Podcasts, or wherever you get your podcasts. Jack Armstrong 327 00:17:40,080 --> 00:17:45,760 Speaker 1: and Joe Getty the Armstrong and Getty Show. I thought 328 00:17:45,840 --> 00:17:49,320 Speaker 1: this is interesting if you're new to the show. Jack 329 00:17:49,359 --> 00:17:52,280 Speaker 1: and I both have railed long and hard against critical 330 00:17:52,320 --> 00:17:53,600 Speaker 1: theory and DEI. 331 00:17:53,640 --> 00:17:56,280 Speaker 2: It's neo Marxism. We'll explain a little more about that. 332 00:17:56,680 --> 00:18:02,760 Speaker 1: It masquerades quite successfully though, as we just want everybody 333 00:18:02,800 --> 00:18:05,040 Speaker 1: to get a fair shot in America, and a lot 334 00:18:05,040 --> 00:18:09,840 Speaker 1: of people think DEI actually is just we want more diversity, 335 00:18:09,920 --> 00:18:12,600 Speaker 1: We want people to be able to apply for jobs 336 00:18:12,640 --> 00:18:15,600 Speaker 1: and get them. No, everybody wants that DEI is in 337 00:18:15,600 --> 00:18:20,960 Speaker 1: in cities plot that masquerades as civil rights. Having said that, 338 00:18:21,040 --> 00:18:25,080 Speaker 1: the headline the Journal America is abandoning DEI. The NFL 339 00:18:25,200 --> 00:18:28,000 Speaker 1: remains all in. Everyone from the federal government as a 340 00:18:28,080 --> 00:18:33,480 Speaker 1: fortune five hundred are dialing back diversity efforts DEI efforts, 341 00:18:33,800 --> 00:18:36,560 Speaker 1: but America's most popular sport is standing its ground. 342 00:18:37,600 --> 00:18:41,280 Speaker 2: I'm not shocked by this. I don't like it. 343 00:18:41,400 --> 00:18:45,000 Speaker 1: I don't like the fact that journalism regularly fudges the 344 00:18:45,000 --> 00:18:49,280 Speaker 1: difference between DEI, which is a specific thing, and diversity, 345 00:18:49,359 --> 00:18:50,640 Speaker 1: acting like they're the same thing. 346 00:18:51,200 --> 00:18:51,760 Speaker 2: They don't know. 347 00:18:52,680 --> 00:18:56,000 Speaker 1: I honestly believe the percentage of Americans who understand that 348 00:18:56,200 --> 00:18:59,080 Speaker 1: that DEI is part of critical theory comes from the 349 00:18:59,080 --> 00:19:02,240 Speaker 1: Frankfurt school of philosophy. It's a it's a method of 350 00:19:02,280 --> 00:19:07,159 Speaker 1: taking over institutions. Essentially, you call everybody a racist unless 351 00:19:07,160 --> 00:19:10,119 Speaker 1: they agree with you. Perhaps you went to a delightful 352 00:19:10,200 --> 00:19:14,320 Speaker 1: training session where this happened. And obviously, if you're a racist, 353 00:19:14,359 --> 00:19:17,840 Speaker 1: according to the nice people who are running your DEI department, 354 00:19:17,880 --> 00:19:20,200 Speaker 1: you can't be in charge. And so they get rid 355 00:19:20,240 --> 00:19:22,320 Speaker 1: of you, and they bring in somebody who believes what 356 00:19:22,400 --> 00:19:26,000 Speaker 1: they do, which is neo Marxism, equity, et cetera. DEI 357 00:19:26,400 --> 00:19:30,119 Speaker 1: is Marxism. It's not diversity. 358 00:19:30,200 --> 00:19:30,760 Speaker 2: That reminds me. 359 00:19:30,800 --> 00:19:33,440 Speaker 3: I read a great piece yesterday on how Ibram X 360 00:19:33,520 --> 00:19:35,760 Speaker 3: Kennedy is one of the great sisters of all time. 361 00:19:36,040 --> 00:19:40,879 Speaker 3: Now that his run is over, I think, and to 362 00:19:40,960 --> 00:19:43,639 Speaker 3: shut down his anti racist institute. 363 00:19:44,240 --> 00:19:46,400 Speaker 2: He got fifty. 364 00:19:46,080 --> 00:19:47,600 Speaker 1: Million dollars I think in. 365 00:19:47,600 --> 00:19:52,159 Speaker 2: Donations from companies. Never did anything. No, people are falling 366 00:19:52,160 --> 00:19:54,400 Speaker 2: all over themselves to give money. I'm not a racist. 367 00:19:54,440 --> 00:19:56,240 Speaker 2: Don't call me a racist. Don't call me a racist. 368 00:19:56,440 --> 00:20:00,399 Speaker 1: And you remember, no matter how you intended what you said, 369 00:20:00,480 --> 00:20:03,800 Speaker 1: if I say you're a racist, you are a racist. 370 00:20:04,119 --> 00:20:07,720 Speaker 1: It's a method of capture, of taking over institutions. And 371 00:20:07,880 --> 00:20:11,320 Speaker 1: he and Robin DiAngelo and that whole ridiculous scam which 372 00:20:11,359 --> 00:20:12,159 Speaker 1: is still going on. 373 00:20:13,840 --> 00:20:15,680 Speaker 2: They knew precisely what they're doing. 374 00:20:15,800 --> 00:20:18,360 Speaker 1: But back to my main point, I think a lot 375 00:20:18,359 --> 00:20:20,919 Speaker 1: of people don't understand it. Yeah, I see even in 376 00:20:20,960 --> 00:20:24,400 Speaker 1: fairly conservative publications, I still see people talk about DEI 377 00:20:24,600 --> 00:20:27,560 Speaker 1: as if it's just an honest and open hearted desire 378 00:20:27,600 --> 00:20:29,480 Speaker 1: to have, you know, like a black kid have the 379 00:20:29,480 --> 00:20:32,760 Speaker 1: same opportunities in America as a white kid. Again, everybody 380 00:20:32,840 --> 00:20:36,960 Speaker 1: wants that DEI is not that anyway. Having said that, 381 00:20:37,480 --> 00:20:40,600 Speaker 1: back to the journal thing, the NFL is a TV show. 382 00:20:41,320 --> 00:20:46,040 Speaker 1: Never forget that. It's an entertainment product from top to bottom. 383 00:20:46,080 --> 00:20:50,240 Speaker 1: It's not actually an effort to see which city has 384 00:20:50,280 --> 00:20:54,800 Speaker 1: the best forty guys to play football hired BMS. No, 385 00:20:55,640 --> 00:20:58,680 Speaker 1: it's a TV show, and it is an incredibly popular, 386 00:20:59,200 --> 00:21:03,719 Speaker 1: profitable TV show, and a huge percentage of the cast 387 00:21:04,040 --> 00:21:08,359 Speaker 1: are young black men and are incredibly important to the 388 00:21:08,359 --> 00:21:09,359 Speaker 1: game and its popularity. 389 00:21:09,400 --> 00:21:11,480 Speaker 2: I've noticed that, and given the fact. 390 00:21:11,320 --> 00:21:14,119 Speaker 1: That most people don't understand what DEI really is and 391 00:21:14,160 --> 00:21:18,040 Speaker 1: what it is not, including young black men who run, 392 00:21:18,400 --> 00:21:22,640 Speaker 1: you know, receiving routes and get tackled hard and stay 393 00:21:22,640 --> 00:21:26,399 Speaker 1: in incredible physical condition and memorize playbooks that would boggle 394 00:21:26,480 --> 00:21:30,120 Speaker 1: the mind of an MIT physicist, that they don't spend 395 00:21:30,119 --> 00:21:32,399 Speaker 1: a lot of time acquainting themselves with the subtleties of 396 00:21:32,520 --> 00:21:34,320 Speaker 1: sociological issues. 397 00:21:34,320 --> 00:21:35,320 Speaker 2: Is not shocking. 398 00:21:36,440 --> 00:21:38,720 Speaker 1: So I get why Roger Goodell has said, no, we're 399 00:21:38,760 --> 00:21:42,960 Speaker 1: still up with diversity, up with DEI, We're continuing all 400 00:21:43,000 --> 00:21:46,439 Speaker 1: our programs. I get why he does that. It annoys me, 401 00:21:46,520 --> 00:21:50,160 Speaker 1: but I get it. I thought this was more interesting 402 00:21:50,160 --> 00:21:53,360 Speaker 1: and revealing. This is a piece written by Callum Borcher's 403 00:21:53,720 --> 00:21:57,400 Speaker 1: what happens when a former NFL player becomes your office coworker, 404 00:21:58,000 --> 00:22:00,720 Speaker 1: And I've got to admit I haven't thought about this much. 405 00:22:01,960 --> 00:22:04,760 Speaker 1: Oh and he mentions, did we find the audio, guys 406 00:22:04,800 --> 00:22:07,800 Speaker 1: from the two thousand and three that was twenty two 407 00:22:07,920 --> 00:22:13,359 Speaker 1: years ago? A Super Bowl commercial featuring was it Terry 408 00:22:13,480 --> 00:22:15,600 Speaker 1: Tait office linebacker or something like that? 409 00:22:15,640 --> 00:22:16,080 Speaker 4: Do we have that? 410 00:22:17,440 --> 00:22:21,240 Speaker 1: Oh? Okay, if you saw the commercial, you certainly remember 411 00:22:21,240 --> 00:22:25,280 Speaker 1: it now. Absolutely hilarious. They hired a linebacker to root 412 00:22:25,280 --> 00:22:28,080 Speaker 1: out inefficiency at their office. It's kind of like Doge, 413 00:22:28,440 --> 00:22:30,480 Speaker 1: except if you weren't doing your job right, he would 414 00:22:30,600 --> 00:22:32,840 Speaker 1: level you wearing his football gear. 415 00:22:33,200 --> 00:22:35,880 Speaker 2: Anyway, back to the threat of the thing. I thought 416 00:22:35,920 --> 00:22:36,880 Speaker 2: this was super interesting. 417 00:22:37,040 --> 00:22:39,680 Speaker 1: Turns out real NFL retirees who entered the business world 418 00:22:39,760 --> 00:22:45,040 Speaker 1: learned to make an impact in different ways. Quote Will Rackley, 419 00:22:45,080 --> 00:22:48,160 Speaker 1: a former offensive lineman for the Jaguars and Ravens. He's 420 00:22:48,440 --> 00:22:50,960 Speaker 1: a couple of months into a job as a business 421 00:22:50,960 --> 00:22:54,360 Speaker 1: operations analyst at the staffing firm Atrium. 422 00:22:54,440 --> 00:22:55,280 Speaker 2: He said it can be. 423 00:22:55,200 --> 00:22:57,439 Speaker 1: A culture shock when stepping into a corporate setting as 424 00:22:57,480 --> 00:23:02,359 Speaker 1: opposed to the locker room. But manager after manager was 425 00:23:02,400 --> 00:23:07,000 Speaker 1: telling Callum borchers that they struggle to recruit people who 426 00:23:07,040 --> 00:23:12,879 Speaker 1: can take and deliver candid feedback, especially these days. 427 00:23:13,200 --> 00:23:14,920 Speaker 2: We've all heard stories of. 428 00:23:14,840 --> 00:23:21,000 Speaker 1: The snowflakes and the gen Zers and millennials and gen 429 00:23:21,080 --> 00:23:24,040 Speaker 1: zers especially who if you say, you know that report 430 00:23:24,160 --> 00:23:26,480 Speaker 1: wasn't quite up to snuff, they will break down. 431 00:23:26,560 --> 00:23:29,399 Speaker 2: Oh my god, you're crutching my spirit. I need a 432 00:23:29,440 --> 00:23:32,120 Speaker 2: spirit day. I need a mental health day. 433 00:23:32,440 --> 00:23:36,320 Speaker 3: They have trouble with people that can deliver the candid feedback. 434 00:23:36,320 --> 00:23:40,320 Speaker 3: Though you smell funny, everybody's talking about it. No, not 435 00:23:40,400 --> 00:23:42,040 Speaker 3: that sort of candid about job performance. 436 00:23:42,080 --> 00:23:48,800 Speaker 1: Specifically a lot of people, particularly given the first thing 437 00:23:48,840 --> 00:23:51,520 Speaker 1: I was talking about. People who can't take candid feedback 438 00:23:51,760 --> 00:23:54,040 Speaker 1: are extremely uncomfortable giving it. 439 00:23:54,320 --> 00:23:56,440 Speaker 2: You got to stop eating with your mouth open. You're 440 00:23:56,440 --> 00:23:58,400 Speaker 2: gonna make somebody kill you. Wow. 441 00:23:58,480 --> 00:24:03,639 Speaker 1: No, we're talking about business perform ormance again. But former 442 00:24:03,720 --> 00:24:06,760 Speaker 1: Gridiron pro accustomed to coaches who yell, cuss, and call 443 00:24:06,800 --> 00:24:10,040 Speaker 1: out mistakes in post game film sessions every week of 444 00:24:10,080 --> 00:24:12,760 Speaker 1: their careers, is not likely to will to under a 445 00:24:12,800 --> 00:24:14,320 Speaker 1: little constructive criticism. 446 00:24:14,440 --> 00:24:14,960 Speaker 2: That's funny. 447 00:24:15,000 --> 00:24:18,280 Speaker 1: My son just said, this is his first real sport. 448 00:24:18,320 --> 00:24:19,560 Speaker 1: I think he's playing volleyball. 449 00:24:20,040 --> 00:24:20,320 Speaker 4: He said. 450 00:24:20,320 --> 00:24:21,760 Speaker 2: The coach is yelling at me all the time. 451 00:24:21,800 --> 00:24:24,880 Speaker 1: I said, that's what coaches do, yes, good or bad, 452 00:24:24,920 --> 00:24:25,840 Speaker 1: no matter what's happening. 453 00:24:25,840 --> 00:24:28,280 Speaker 3: The coaches yell at you. That's the way it works. 454 00:24:28,680 --> 00:24:30,800 Speaker 3: This is the candid feedback we're discussing. 455 00:24:31,359 --> 00:24:33,280 Speaker 1: And while there are some truth to the cliche that 456 00:24:33,359 --> 00:24:36,560 Speaker 1: athletes can bring winning mindsets to business, it is actually 457 00:24:36,640 --> 00:24:40,199 Speaker 1: their ability to handle losing that stands out. According to 458 00:24:40,280 --> 00:24:43,640 Speaker 1: Bosses and the former NFL players were talking about, are 459 00:24:43,840 --> 00:24:45,920 Speaker 1: like the vast majority you leave the game, not hall 460 00:24:45,960 --> 00:24:48,240 Speaker 1: of famers with set for life money. They are often 461 00:24:48,240 --> 00:24:50,400 Speaker 1: men who are pushed out of the game by injuries 462 00:24:50,480 --> 00:24:52,680 Speaker 1: or a younger, cheaper draft pick who could play about 463 00:24:52,720 --> 00:24:53,000 Speaker 1: as well. 464 00:24:53,080 --> 00:24:55,880 Speaker 2: Say, which is almost everybody gets in the NFL. 465 00:24:55,800 --> 00:24:58,919 Speaker 1: Right, Oh yeah, yeah, vast majority they've dealt with disappointment 466 00:24:59,000 --> 00:25:02,960 Speaker 1: and regrouped, said an associate director of non traditional talent 467 00:25:03,000 --> 00:25:05,919 Speaker 1: programs at Verizon Quote. The ability to pick yourself up 468 00:25:05,960 --> 00:25:07,960 Speaker 1: and get back into the game is really what business 469 00:25:08,080 --> 00:25:10,480 Speaker 1: is all about, and he's found these guys to be 470 00:25:10,560 --> 00:25:14,520 Speaker 1: much more resilient. I don't they understand, Wow, that went badly, 471 00:25:14,640 --> 00:25:15,720 Speaker 1: What can we learn? 472 00:25:17,960 --> 00:25:19,960 Speaker 3: I don't doubt that that should be focused on more 473 00:25:20,000 --> 00:25:24,600 Speaker 3: for all professional athletes. The vast majority of them. 474 00:25:24,960 --> 00:25:27,880 Speaker 1: Even if you've reached your dreams, made it to that league, 475 00:25:28,160 --> 00:25:29,800 Speaker 1: you're gonna make a little money and be there a 476 00:25:29,800 --> 00:25:31,280 Speaker 1: couple of years, and then you're gonna go back to 477 00:25:31,320 --> 00:25:34,400 Speaker 1: regular life and you're gonna be twenty five years old, right, 478 00:25:34,880 --> 00:25:38,560 Speaker 1: And that would be an interesting mindset. I was good 479 00:25:38,640 --> 00:25:41,920 Speaker 1: enough to play in that league. I worked my ass 480 00:25:41,920 --> 00:25:44,000 Speaker 1: off ten hours a day, like my whole life. But 481 00:25:44,080 --> 00:25:46,280 Speaker 1: that's over now and I'm only twenty five, and I 482 00:25:46,359 --> 00:25:50,040 Speaker 1: gotta do something different, right. But I think the other 483 00:25:50,080 --> 00:25:53,879 Speaker 1: aspects of it, because that's important, though, But the idea 484 00:25:53,920 --> 00:25:57,199 Speaker 1: of somebody, well, they make another point. NFL players are 485 00:25:57,200 --> 00:26:01,960 Speaker 1: completely unfazed by the arduous process of interviewing for white 486 00:26:02,000 --> 00:26:06,359 Speaker 1: collar jobs and or preparing for presentations and interviews and 487 00:26:06,400 --> 00:26:08,960 Speaker 1: stuff like that. It's what they've done their whole lives. 488 00:26:08,960 --> 00:26:11,639 Speaker 1: It's a different skill set that they're preparing for. But 489 00:26:11,720 --> 00:26:13,600 Speaker 1: the idea of we're gonna have to go really really 490 00:26:13,680 --> 00:26:15,760 Speaker 1: hard to get rid or get ready for this one 491 00:26:15,800 --> 00:26:20,359 Speaker 1: particular meeting or something. They're completely in that mode. So 492 00:26:20,600 --> 00:26:24,840 Speaker 1: I thought that was interesting. It also reminds me of 493 00:26:25,440 --> 00:26:28,920 Speaker 1: the New York Times. There's a great piece they did. Yeah, 494 00:26:28,960 --> 00:26:30,760 Speaker 1: I know, when they're not completely biased, they do really 495 00:26:30,800 --> 00:26:34,159 Speaker 1: good journalism once in a while. That the single most 496 00:26:34,280 --> 00:26:39,119 Speaker 1: important characteristic for a child to predict their success in 497 00:26:39,200 --> 00:26:43,920 Speaker 1: life is resilience. Can they are they afraid of failure? 498 00:26:44,119 --> 00:26:46,800 Speaker 1: Or do they understand ad happens sometime. Let's plunge on 499 00:26:47,640 --> 00:26:50,320 Speaker 1: number one predictor. And I could see why NFL players 500 00:26:50,320 --> 00:27:00,760 Speaker 1: would be really good at that show. 501 00:27:01,720 --> 00:27:03,679 Speaker 3: Who was I talking to the other day that had 502 00:27:03,720 --> 00:27:06,160 Speaker 3: a meeting with their corporate person? 503 00:27:06,280 --> 00:27:08,000 Speaker 2: Who would I have been talking to? I don't talk 504 00:27:08,119 --> 00:27:10,160 Speaker 2: to anyone anyway. 505 00:27:10,760 --> 00:27:13,159 Speaker 3: Uh, they met with their corporate CEO for a major 506 00:27:13,200 --> 00:27:16,399 Speaker 3: corporation and they were having a discussion about AI, and 507 00:27:16,440 --> 00:27:18,760 Speaker 3: I said, what was the gist of it? And the 508 00:27:18,840 --> 00:27:20,920 Speaker 3: gist of it was, We're not going to need any 509 00:27:20,960 --> 00:27:27,360 Speaker 3: of you anymore. Who in this gets rolling? And we've 510 00:27:27,400 --> 00:27:29,200 Speaker 3: all heard this sort of stuff. If you're paying attention 511 00:27:29,240 --> 00:27:32,520 Speaker 3: to AI at all, that all kinds of different jobs 512 00:27:32,520 --> 00:27:35,159 Speaker 3: will go by the wayside. And a lot of the 513 00:27:35,280 --> 00:27:42,679 Speaker 3: jobs that were the most sure thing in our economy 514 00:27:42,720 --> 00:27:44,320 Speaker 3: are the ones that are going to be going first. 515 00:27:45,800 --> 00:27:49,480 Speaker 3: So that has everybody concerned. But we're not there yet. 516 00:27:49,600 --> 00:27:55,520 Speaker 3: AI search engines cite incorrect sources at an alarming sixty rate. 517 00:27:55,640 --> 00:27:58,800 Speaker 3: A new study shows so a lot of people like me. 518 00:27:59,440 --> 00:28:03,600 Speaker 3: When you google something, you're going with the AI version 519 00:28:03,720 --> 00:28:06,960 Speaker 3: at the top of the list for the answer and 520 00:28:06,960 --> 00:28:08,359 Speaker 3: thinking it's probably close enough. 521 00:28:09,480 --> 00:28:10,600 Speaker 2: It might not be that close. 522 00:28:10,640 --> 00:28:14,080 Speaker 3: AI models incorrectly answered more than sixty percent of queries 523 00:28:14,119 --> 00:28:18,080 Speaker 3: about news sources. They have a tendency too, and this 524 00:28:18,160 --> 00:28:20,000 Speaker 3: has been an ongoing problem with AI. 525 00:28:20,480 --> 00:28:22,920 Speaker 2: Make stuff up. AI is like your five year old. 526 00:28:23,200 --> 00:28:25,520 Speaker 1: It just makes stuff up, and you have to realize 527 00:28:25,520 --> 00:28:27,920 Speaker 1: that if your five year old comes in and says, 528 00:28:28,320 --> 00:28:31,320 Speaker 1: you know, a kid named Jimmy down the street punched me. 529 00:28:31,400 --> 00:28:33,919 Speaker 3: Maybe that happened. Maybe there is no Jimmy. They just 530 00:28:33,960 --> 00:28:35,520 Speaker 3: said that for who knows what reason. 531 00:28:35,760 --> 00:28:40,360 Speaker 1: That's the way. That's the way AI is. It just 532 00:28:40,480 --> 00:28:44,120 Speaker 1: makes stuff up. But sixty percent is that what you said? Yes, 533 00:28:44,480 --> 00:28:48,360 Speaker 1: hang on a second, let me use my chet cheept jack. 534 00:28:48,480 --> 00:28:49,360 Speaker 1: That's almost top. 535 00:28:50,960 --> 00:28:54,320 Speaker 3: They ran sixteen hundred qureries across eight different generative search 536 00:28:54,480 --> 00:28:57,960 Speaker 3: tools and came up with that sixty percent number. Surprisingly, 537 00:28:58,040 --> 00:29:01,479 Speaker 3: premium paid versions of these AI search tools fair to 538 00:29:01,520 --> 00:29:06,240 Speaker 3: even worse than certain respects Perplexity Pro, which is twenty 539 00:29:06,280 --> 00:29:09,320 Speaker 3: dollars a month, and groc three that's Elon's Thing, which 540 00:29:09,360 --> 00:29:13,040 Speaker 3: is forty dollars a month confidently delivered incorrect responses more 541 00:29:13,040 --> 00:29:16,120 Speaker 3: often than their free counterparts. For some reason, this is 542 00:29:16,160 --> 00:29:20,400 Speaker 3: around the news stuff, so you pay for less accuracy. Yeah, 543 00:29:20,760 --> 00:29:23,360 Speaker 3: all right, again, around news stuff. I don't know if, like, 544 00:29:23,400 --> 00:29:27,080 Speaker 3: for instance, Groc's claiming it's good at that. Mostly what 545 00:29:27,120 --> 00:29:30,080 Speaker 3: I see on GROC is its ability to I don't know, 546 00:29:30,160 --> 00:29:34,320 Speaker 3: create music videos or pictures or or hot chicks in 547 00:29:34,360 --> 00:29:36,560 Speaker 3: a cowboy hat if that's what you want, or something 548 00:29:36,600 --> 00:29:39,160 Speaker 3: like that. These AI systems seem to be really good 549 00:29:39,280 --> 00:29:41,800 Speaker 3: at that. But in terms of so they would ask 550 00:29:41,880 --> 00:29:46,400 Speaker 3: various questions about news stories, and GROC might give you 551 00:29:46,440 --> 00:29:49,960 Speaker 3: a source that wasn't the source, or make one up, 552 00:29:50,360 --> 00:29:55,560 Speaker 3: or create a link to the information that doesn't exist. 553 00:29:55,600 --> 00:29:58,400 Speaker 2: It would just make up a link and they don't 554 00:29:58,400 --> 00:30:02,360 Speaker 2: see no, and they don't It seemed to be well, 555 00:30:02,960 --> 00:30:03,880 Speaker 2: I'm unashamed. 556 00:30:04,480 --> 00:30:08,880 Speaker 3: They know that they don't know why AI does this, right, 557 00:30:09,000 --> 00:30:10,800 Speaker 3: and as we've said before, they're not exactly sure if 558 00:30:10,800 --> 00:30:14,640 Speaker 3: it's fixable. But a I ain't gonna take over the 559 00:30:14,680 --> 00:30:16,640 Speaker 3: world if they can't figure that out. 560 00:30:16,680 --> 00:30:18,120 Speaker 2: I just I don't see. 561 00:30:18,000 --> 00:30:21,920 Speaker 1: How that happened, right, right, It could absolutely take over 562 00:30:22,160 --> 00:30:25,640 Speaker 1: a significant number of professions, sure that are fairly limited 563 00:30:25,960 --> 00:30:30,360 Speaker 1: in scope. There's a great piece in the journal about 564 00:30:30,400 --> 00:30:34,760 Speaker 1: how high school and college students especially are using AI 565 00:30:34,920 --> 00:30:40,160 Speaker 1: to cheat always everywhere, all the time. Not every kid, certainly, 566 00:30:40,600 --> 00:30:43,920 Speaker 1: but man, they go into all the different ways. They 567 00:30:43,960 --> 00:30:46,120 Speaker 1: tell the story of a seventeen year old girl in 568 00:30:46,160 --> 00:30:48,600 Speaker 1: New Jersey. He uses it all the time. She's only 569 00:30:48,640 --> 00:30:57,920 Speaker 1: been busted once. Yeah, here we go. She turned to 570 00:30:57,960 --> 00:31:01,720 Speaker 1: open IA's open ais chat GPT in Google's Gemini to 571 00:31:01,720 --> 00:31:05,040 Speaker 1: help spawn ideas and review concepts, which many teachers allow 572 00:31:05,480 --> 00:31:08,320 Speaker 1: more often. Though AI completed her work, she solved math 573 00:31:08,360 --> 00:31:12,440 Speaker 1: homework problems and ace to take home test chat GPT did. 574 00:31:12,880 --> 00:31:15,800 Speaker 3: I got a message for this kid, You're only hurting yourself. 575 00:31:18,680 --> 00:31:23,480 Speaker 3: That is both true and hilarious. Let's see chat GPT 576 00:31:23,600 --> 00:31:26,240 Speaker 3: did calculations for a science lab. It produced a tricky 577 00:31:26,280 --> 00:31:29,680 Speaker 3: section of a history term paper, which she rewrote to 578 00:31:29,760 --> 00:31:32,880 Speaker 3: avoid detection. And again, though she used it in virtually 579 00:31:32,960 --> 00:31:36,200 Speaker 3: every class, she only got busted once. 580 00:31:36,400 --> 00:31:36,600 Speaker 2: Yeah. 581 00:31:36,640 --> 00:31:39,480 Speaker 3: The math thing, hm, that's a tough one because you 582 00:31:39,640 --> 00:31:42,720 Speaker 3: problem not probably, I'm sure this is true. I'm sure 583 00:31:42,760 --> 00:31:44,840 Speaker 3: you can have AI even show the work, and you 584 00:31:44,840 --> 00:31:46,320 Speaker 3: could just write down the work. 585 00:31:46,400 --> 00:31:48,680 Speaker 2: The whole show your work thing, right. 586 00:31:49,000 --> 00:31:54,480 Speaker 3: So, but I was wondering about so if I'm writing 587 00:31:54,760 --> 00:31:57,800 Speaker 3: a paper, this would save a lot of time. And 588 00:31:57,840 --> 00:32:00,080 Speaker 3: there's no way you'd ever bust me on this. This 589 00:32:00,160 --> 00:32:03,320 Speaker 3: is just where we are in the modern world. Hey, Groc, 590 00:32:03,760 --> 00:32:07,440 Speaker 3: I need a founding father saying something about the importance 591 00:32:07,440 --> 00:32:10,200 Speaker 3: of borders and it finds me one and I don't 592 00:32:10,240 --> 00:32:13,800 Speaker 3: have to dig through twelve old timey books and go 593 00:32:13,840 --> 00:32:16,360 Speaker 3: to the index and read paragraphs. It's just right there. 594 00:32:16,400 --> 00:32:19,480 Speaker 3: I mean that would be kind of cheating. It's certainly 595 00:32:20,120 --> 00:32:21,400 Speaker 3: easier than it used to be. 596 00:32:21,520 --> 00:32:26,560 Speaker 1: But yes, and there's absolutely a loss to the like 597 00:32:26,600 --> 00:32:30,760 Speaker 1: the indirect educational process because like it or not, as 598 00:32:30,800 --> 00:32:33,040 Speaker 1: you're looking for A you'll also learn B and C. 599 00:32:33,240 --> 00:32:34,560 Speaker 1: It's practically unavoidable. 600 00:32:35,280 --> 00:32:37,600 Speaker 3: And how could they stop you from running, you know, 601 00:32:37,680 --> 00:32:41,520 Speaker 3: having AI read over your paragraph and you know, make 602 00:32:41,560 --> 00:32:46,360 Speaker 3: it a little better and or just summarize everything very briefly. 603 00:32:46,400 --> 00:32:48,360 Speaker 3: I mean, my daughter's in law school, for instance, and 604 00:32:48,440 --> 00:32:50,880 Speaker 3: a big part of it is you read just reams 605 00:32:51,440 --> 00:32:54,840 Speaker 3: of information, then you outline it, you candense it. You 606 00:32:54,840 --> 00:32:58,440 Speaker 3: you know, boil the concert or the actual you know, 607 00:32:58,560 --> 00:33:00,680 Speaker 3: the things that happen in the case down to the concept. Still, 608 00:33:00,720 --> 00:33:02,760 Speaker 3: you need to remember boil us down for me. I'll 609 00:33:02,800 --> 00:33:04,600 Speaker 3: be at the bar at Saint Patrick's day. 610 00:33:05,040 --> 00:33:05,800 Speaker 2: Right exactly. 611 00:33:06,320 --> 00:33:09,320 Speaker 1: And one more aspect of this problem, especially with academia, 612 00:33:09,400 --> 00:33:13,120 Speaker 1: is that the companies that make these tools are not 613 00:33:13,320 --> 00:33:19,320 Speaker 1: so keen on distributing the tools to identify when somebody 614 00:33:19,360 --> 00:33:23,800 Speaker 1: is using it to cheat, because students are their big 615 00:33:24,000 --> 00:33:28,240 Speaker 1: customer base. Well, so they hem and haw about we 616 00:33:28,280 --> 00:33:29,520 Speaker 1: would like to release that to you. 617 00:33:29,560 --> 00:33:33,240 Speaker 3: But it's oh, that's interesting right there. So I'm not 618 00:33:33,760 --> 00:33:38,680 Speaker 3: trying to be anti intellectual, but people have been saying 619 00:33:38,680 --> 00:33:41,840 Speaker 3: this since I was a kid, when computers, when calculators 620 00:33:41,880 --> 00:33:43,680 Speaker 3: first came out. What's the point of me learning this 621 00:33:43,760 --> 00:33:45,080 Speaker 3: as long as there's a calculator. 622 00:33:45,760 --> 00:33:50,120 Speaker 1: Well that's really true now, I mean, every if every 623 00:33:50,240 --> 00:33:53,560 Speaker 1: Homo sapient in America over the age of five is 624 00:33:53,640 --> 00:33:56,680 Speaker 1: carrying a computer that can do all of this math work, 625 00:33:58,320 --> 00:33:58,800 Speaker 1: is there. 626 00:33:58,640 --> 00:34:00,600 Speaker 2: A value in learning how to do it by hand? 627 00:34:00,680 --> 00:34:02,880 Speaker 2: In case you're on a desert island. There's something I 628 00:34:02,960 --> 00:34:03,320 Speaker 2: don't know. 629 00:34:04,880 --> 00:34:09,960 Speaker 1: Yes, there almost certainly is. A neurologist could probably explain 630 00:34:10,040 --> 00:34:13,440 Speaker 1: it to you that you have a bedrock understanding of 631 00:34:13,520 --> 00:34:16,960 Speaker 1: what you're doing and it helps you in some way 632 00:34:17,040 --> 00:34:20,160 Speaker 1: that I as a politics guy, I can't really describe 633 00:34:20,200 --> 00:34:22,640 Speaker 1: to you if I think you lose something. 634 00:34:22,680 --> 00:34:25,279 Speaker 2: But I also think that's the modern world to a large. 635 00:34:25,560 --> 00:34:29,200 Speaker 3: If GROC or something is going to write everything, it's 636 00:34:29,200 --> 00:34:31,640 Speaker 3: going to write your legal briefs, it's going to write 637 00:34:31,760 --> 00:34:36,000 Speaker 3: up your business proposal. If it's going to write everything, 638 00:34:36,200 --> 00:34:38,280 Speaker 3: is there a reason to learn to write? 639 00:34:41,080 --> 00:34:44,680 Speaker 2: This is well? Wow, wow, that's that's insane. 640 00:34:44,760 --> 00:34:47,280 Speaker 3: And I mean not just to be like a successful 641 00:34:47,400 --> 00:34:49,719 Speaker 3: almost sapien. I mean well, I do mean, I mean 642 00:34:49,719 --> 00:34:51,840 Speaker 3: to be a financially like to make it in the world. 643 00:34:52,040 --> 00:34:53,879 Speaker 3: You just need to know how to run groc. Don't 644 00:34:53,920 --> 00:34:55,040 Speaker 3: you to be better at that? 645 00:34:56,080 --> 00:34:56,600 Speaker 4: Uh? Yeah? 646 00:34:56,680 --> 00:34:58,440 Speaker 1: You need to write well enough to write what you 647 00:34:58,480 --> 00:35:02,160 Speaker 1: want and tell the comp Final note John B. King, 648 00:35:02,840 --> 00:35:05,120 Speaker 1: a chancellor of the State University of New York system 649 00:35:05,120 --> 00:35:08,160 Speaker 1: former Education secretary, sent at a conference in October, quote, 650 00:35:08,520 --> 00:35:10,960 Speaker 1: there are probably lots of students K through twelve and 651 00:35:11,120 --> 00:35:13,640 Speaker 1: higher ed who used chet GPT to do their homework 652 00:35:13,719 --> 00:35:15,840 Speaker 1: last night without learning anything. 653 00:35:16,280 --> 00:35:16,920 Speaker 2: That's scary. 654 00:35:17,719 --> 00:35:21,520 Speaker 1: They weren't learning anything in many cases before AI, so 655 00:35:22,520 --> 00:35:23,360 Speaker 1: that's a problem. 656 00:35:23,400 --> 00:35:28,680 Speaker 2: Also, this is discouraging all the way around. I'm checking 657 00:35:28,719 --> 00:35:30,680 Speaker 2: out of the modern world. I'm telling you starting some 658 00:35:30,719 --> 00:35:35,960 Speaker 2: sort of weird fundamentalist. You know, society tired of being 659 00:35:36,000 --> 00:35:36,640 Speaker 2: in a good mood. 660 00:35:36,760 --> 00:35:41,799 Speaker 1: Tune in the Armstrong and Getty Show, I guess Strong. 661 00:35:41,560 --> 00:35:44,279 Speaker 2: And Getty Show. When you will listen to arms Strong 662 00:35:44,320 --> 00:35:47,040 Speaker 2: in Geeddy on demand? We're not boring. A lot of 663 00:35:47,040 --> 00:35:49,160 Speaker 2: news is boring and tedious and depressing. 664 00:35:49,239 --> 00:35:51,640 Speaker 1: It makes you angry. You don't want to live your 665 00:35:51,680 --> 00:35:53,920 Speaker 1: life like that. Hey, I'm Jack Armstrong. 666 00:35:53,960 --> 00:35:55,640 Speaker 2: He's Joe Getty. We're Armstrong in Getty. 667 00:35:55,719 --> 00:35:57,239 Speaker 1: We try to bring you the truth and help you 668 00:35:57,280 --> 00:35:59,160 Speaker 1: figure out this crazy modern world. 669 00:35:59,200 --> 00:36:04,440 Speaker 7: You know something about a comedic tone. We have a 670 00:36:04,520 --> 00:36:07,040 Speaker 7: one yes, listen to Armstrong. 671 00:36:07,120 --> 00:36:10,279 Speaker 1: You get an on demand on the iHeartRadio app, Apple Podcasts, 672 00:36:10,400 --> 00:36:12,080 Speaker 1: or wherever you get your podcasts.