1 00:00:04,040 --> 00:00:06,800 Speaker 1: So joining me now is somebody for many of us 2 00:00:07,000 --> 00:00:09,360 Speaker 1: of a certain age in Washington, is that I would 3 00:00:09,360 --> 00:00:12,720 Speaker 1: deem an institution. It's Paul Glasters, the editor in chief 4 00:00:12,760 --> 00:00:18,320 Speaker 1: of the Washington Monthly. Many of us count the Washington 5 00:00:18,320 --> 00:00:21,040 Speaker 1: Monthly as one of the first magazines that published us. 6 00:00:21,360 --> 00:00:26,239 Speaker 1: That would be me. So when I started seeing could 7 00:00:26,280 --> 00:00:28,400 Speaker 1: I do this? Could I write long form after all 8 00:00:28,440 --> 00:00:31,440 Speaker 1: of my sort of wire copy years at the National 9 00:00:31,560 --> 00:00:35,479 Speaker 1: Journal and doing the hotline. And Paul was an extraordinarily 10 00:00:35,600 --> 00:00:39,400 Speaker 1: generous editor and a great mentor to a lot of 11 00:00:39,400 --> 00:00:42,360 Speaker 1: writers and reporters around Washington. So this is a real 12 00:00:42,400 --> 00:00:44,680 Speaker 1: treat for me. Paul, It's good to see you, Chuck. 13 00:00:44,720 --> 00:00:46,559 Speaker 2: What a pleasure. Thanks for having me on. And I 14 00:00:46,600 --> 00:00:49,160 Speaker 2: remember that story well by John Kerry. 15 00:00:49,200 --> 00:00:54,480 Speaker 1: I think, yes, yes it was, And so I have 16 00:00:54,560 --> 00:00:57,480 Speaker 1: you on because you did something that I love and 17 00:00:57,520 --> 00:01:00,520 Speaker 1: it's something, frankly that I remember. The Obama administer wanted 18 00:01:00,520 --> 00:01:03,800 Speaker 1: to make a bigger deal out of which was how 19 00:01:03,800 --> 00:01:08,880 Speaker 1: can we create a list of best colleges for bang 20 00:01:08,959 --> 00:01:12,960 Speaker 1: for your buck? Essentially, you know what's going to provide 21 00:01:13,000 --> 00:01:16,440 Speaker 1: you the education that you need without making you have 22 00:01:16,520 --> 00:01:19,000 Speaker 1: to go into debt for the rest of your life 23 00:01:19,319 --> 00:01:22,360 Speaker 1: or to do blood oaths to people that maybe you 24 00:01:22,400 --> 00:01:24,600 Speaker 1: don't want to give blood oaths too, because you want 25 00:01:24,640 --> 00:01:28,280 Speaker 1: to get into this Ivy League university, that Ivy League university. 26 00:01:28,720 --> 00:01:31,440 Speaker 1: I will note the irony that you once worked at 27 00:01:31,560 --> 00:01:35,520 Speaker 1: US News and now you have a competing list. But 28 00:01:35,640 --> 00:01:38,360 Speaker 1: this is and look where I want to talk about 29 00:01:38,360 --> 00:01:41,480 Speaker 1: the future of journalism and and sort of and where 30 00:01:41,520 --> 00:01:45,200 Speaker 1: that goes to. But talk to me about the decision 31 00:01:45,240 --> 00:01:48,600 Speaker 1: to do this list and for the Washington Monthly, and 32 00:01:49,000 --> 00:01:52,680 Speaker 1: how would you describe it and what what what motivated 33 00:01:52,720 --> 00:01:53,240 Speaker 1: you to do it? 34 00:01:54,480 --> 00:01:57,800 Speaker 2: Well, you're right that that I used to work at 35 00:01:57,880 --> 00:02:01,840 Speaker 2: US News and the U S News College rankings paid 36 00:02:01,840 --> 00:02:04,880 Speaker 2: my mortgage, all of us Right, there was always a 37 00:02:04,960 --> 00:02:11,400 Speaker 2: kind of undercurrent of concern about the adequacy of the numbers. 38 00:02:12,240 --> 00:02:17,919 Speaker 2: And when my friend Jim Fallows became the editor, he 39 00:02:18,760 --> 00:02:25,960 Speaker 2: commissioned internal study by a very reputable organization that found 40 00:02:26,240 --> 00:02:29,440 Speaker 2: that the use of their metrics, I think the quote 41 00:02:29,440 --> 00:02:34,640 Speaker 2: was something like made no logical or methodological sense. And 42 00:02:34,680 --> 00:02:38,480 Speaker 2: when he reported this to the owner, Mort Zuckerman of 43 00:02:38,520 --> 00:02:43,160 Speaker 2: the US News, and this was the major revenue driver 44 00:02:43,280 --> 00:02:47,560 Speaker 2: of the publication, Jim was shortly escorted out the door. 45 00:02:49,120 --> 00:02:53,360 Speaker 2: And it was not too long after that I quit 46 00:02:53,720 --> 00:02:56,640 Speaker 2: when Jim was fired. And it was a couple of 47 00:02:56,680 --> 00:03:01,040 Speaker 2: years later that, miraculously who knows that in study made 48 00:03:01,080 --> 00:03:05,920 Speaker 2: its way into the Washington Monthly and we did a 49 00:03:05,960 --> 00:03:10,320 Speaker 2: couple of deep dive investigative pieces about US News and 50 00:03:10,360 --> 00:03:15,680 Speaker 2: I determined the idea of ranking colleges is fine, right, often, 51 00:03:16,240 --> 00:03:19,359 Speaker 2: how dare you rank colleges? Nobody can compare us? Well, 52 00:03:19,400 --> 00:03:22,600 Speaker 2: you know, we ranked football teams, we ranked students, we 53 00:03:22,639 --> 00:03:27,480 Speaker 2: can rank colleges. But that basically US News does it 54 00:03:27,560 --> 00:03:30,360 Speaker 2: in a kind of a horrific way. And I'm going 55 00:03:30,440 --> 00:03:36,080 Speaker 2: to simplify their metrics, but it's basically this. They reward 56 00:03:36,200 --> 00:03:40,760 Speaker 2: colleges in their metrics for three things. Number one, exclusivity. 57 00:03:41,560 --> 00:03:45,680 Speaker 2: How few students do you let in? It's sort of 58 00:03:45,680 --> 00:03:48,720 Speaker 2: the idea that, you know, college is like a country 59 00:03:48,760 --> 00:03:56,480 Speaker 2: club lectures instead of golf and velvet rope. Yeah, and 60 00:03:56,720 --> 00:03:59,520 Speaker 2: you know, which is kind of wacky when you think 61 00:03:59,520 --> 00:04:04,520 Speaker 2: about it. If you few restaurants. They don't count country clubs, right, 62 00:04:04,600 --> 00:04:06,480 Speaker 2: They say, the best restaurant in the city is this 63 00:04:06,520 --> 00:04:08,760 Speaker 2: country club. Well, I can't get into that country club. 64 00:04:08,920 --> 00:04:10,840 Speaker 2: Why are you telling me this, it's kind of useless 65 00:04:10,840 --> 00:04:14,720 Speaker 2: information to anybody who isn't you know, at the very 66 00:04:14,800 --> 00:04:19,440 Speaker 2: upper level of the SAT range, and you know the 67 00:04:19,480 --> 00:04:23,640 Speaker 2: way that thing works out. It's mostly people from affluent, 68 00:04:23,720 --> 00:04:25,880 Speaker 2: wealthy families who go to the best high schools, who 69 00:04:25,920 --> 00:04:28,080 Speaker 2: have years of prep. Those are the ones again into 70 00:04:28,080 --> 00:04:32,640 Speaker 2: the IVY League. So for ninety percent of Americans, they 71 00:04:32,640 --> 00:04:35,839 Speaker 2: don't even consider those schools. They're not for them, right. 72 00:04:36,600 --> 00:04:41,359 Speaker 2: Exclusivity is how US News And there's about a dozen 73 00:04:41,400 --> 00:04:43,560 Speaker 2: other rankings out there, and they all, almost all of 74 00:04:43,600 --> 00:04:45,839 Speaker 2: them do the same thing. They say, who do you 75 00:04:46,120 --> 00:04:48,640 Speaker 2: How many people can you say no to? That must 76 00:04:48,680 --> 00:04:52,600 Speaker 2: be you're good. The second thing they reward is spending 77 00:04:52,880 --> 00:04:56,240 Speaker 2: is wealth. How much money do we spend on our students? 78 00:04:57,120 --> 00:05:00,120 Speaker 2: Which if you're only mostly letting in wealthy students, you've 79 00:05:00,120 --> 00:05:04,120 Speaker 2: got a lot of money, right, so you can spend money. 80 00:05:04,200 --> 00:05:08,000 Speaker 2: And then the third is reputation. US News does this 81 00:05:08,520 --> 00:05:11,560 Speaker 2: survey of college leaders and they ask you what do 82 00:05:11,600 --> 00:05:13,919 Speaker 2: you think of that other college, as if that leader 83 00:05:13,960 --> 00:05:16,120 Speaker 2: knows anything about what's going on in the classroom one 84 00:05:16,160 --> 00:05:18,800 Speaker 2: thousand miles away. But it's sort of like, you know, 85 00:05:18,880 --> 00:05:21,000 Speaker 2: high school who are the cool kids. Everybody else the 86 00:05:21,080 --> 00:05:23,200 Speaker 2: cool kids are. So the cool kids are the cool 87 00:05:23,240 --> 00:05:27,080 Speaker 2: kids because everybody say they're the cool kids. We said, 88 00:05:27,560 --> 00:05:30,920 Speaker 2: these are really terrible metrics. They're not useful for most students, 89 00:05:31,000 --> 00:05:35,960 Speaker 2: and they're very bad for the country. Right. They drive inequality, 90 00:05:36,240 --> 00:05:41,800 Speaker 2: they drive snobbery, they drive expense. They make college more expensive. 91 00:05:42,200 --> 00:05:46,400 Speaker 2: Every college president and system wants their college to go 92 00:05:46,520 --> 00:05:49,080 Speaker 2: hire on the US News list. And so they, wellt's 93 00:05:49,080 --> 00:05:51,479 Speaker 2: throw some more money at it. Let's tell you know, 94 00:05:51,560 --> 00:05:54,720 Speaker 2: our constituct our students. No, you can't get in. Let's 95 00:05:54,760 --> 00:05:58,920 Speaker 2: deny people at education. It's crazy. So we said, all right. 96 00:05:59,720 --> 00:06:02,839 Speaker 2: I actually hired the woman who had done the study 97 00:06:03,320 --> 00:06:06,560 Speaker 2: right for Jim Follows, and I said, help me design 98 00:06:06,920 --> 00:06:09,359 Speaker 2: a different set of rankings. And so we said, what 99 00:06:09,600 --> 00:06:15,800 Speaker 2: is it that the average person, not the most affluent people, 100 00:06:15,880 --> 00:06:18,640 Speaker 2: not people who went to Harvard, but the average person 101 00:06:19,080 --> 00:06:22,840 Speaker 2: wants out of their investment in higher education. And when 102 00:06:22,839 --> 00:06:26,760 Speaker 2: I say investment, I don't just mean tuition dollars, I 103 00:06:26,800 --> 00:06:30,600 Speaker 2: mean your tax dollars. Government at every level, Chuck spends 104 00:06:30,800 --> 00:06:34,800 Speaker 2: half a trillion dollars a year on higher ed. That 105 00:06:34,920 --> 00:06:38,800 Speaker 2: is seventeen hundred dollars out of pocket for the average taxpayer. 106 00:06:39,040 --> 00:06:41,320 Speaker 1: Right, whether you go, whether they go to college or not, 107 00:06:41,560 --> 00:06:46,400 Speaker 1: they have contributed, right, they've contributed dollars to the college 108 00:06:46,480 --> 00:06:50,320 Speaker 1: is providing some value for the country and for ourselves specifically. 109 00:06:50,320 --> 00:06:52,839 Speaker 2: So what is that value? And so we came up 110 00:06:52,880 --> 00:06:57,080 Speaker 2: with three alternative metrics. Number one, what you alluded to 111 00:06:57,200 --> 00:07:01,480 Speaker 2: best bang for your buck upward mobility? Does a college 112 00:07:01,960 --> 00:07:07,360 Speaker 2: recruit and graduate students of modest means? Right, working class students, 113 00:07:07,400 --> 00:07:08,640 Speaker 2: middle class students. 114 00:07:08,320 --> 00:07:11,520 Speaker 1: Boards, students, first gen basically first gen college? 115 00:07:11,640 --> 00:07:15,520 Speaker 2: Right? Does it recruit and graduate students of modest means 116 00:07:15,880 --> 00:07:18,880 Speaker 2: with degrees that don't cost you much, don't load them 117 00:07:18,880 --> 00:07:22,400 Speaker 2: down with debt, and that means something in the market 118 00:07:22,840 --> 00:07:26,120 Speaker 2: such that they earn middle class or better incomes. 119 00:07:26,480 --> 00:07:29,160 Speaker 1: They've moved up the latter, they're making more money than 120 00:07:29,200 --> 00:07:30,720 Speaker 1: their parents exactly. 121 00:07:31,120 --> 00:07:37,960 Speaker 2: Number two research, Do colleges create the scholarship and scholars 122 00:07:38,360 --> 00:07:46,360 Speaker 2: that drive new economic growth, solutions to global problems, you know, 123 00:07:46,520 --> 00:07:51,320 Speaker 2: cures for diseases, et cetera. And number three what we 124 00:07:51,440 --> 00:07:56,120 Speaker 2: call service. Open up the mission statement of just about 125 00:07:56,120 --> 00:07:58,120 Speaker 2: any college, and there's going to be a sentence in 126 00:07:58,160 --> 00:08:01,880 Speaker 2: there that's saying point of this university is to create, 127 00:08:02,560 --> 00:08:05,360 Speaker 2: is to educate young people to take their place as 128 00:08:05,520 --> 00:08:09,160 Speaker 2: engaged members of their democracy. So we're the only ranking 129 00:08:09,200 --> 00:08:12,440 Speaker 2: that holds schools to account for their own mission statement 130 00:08:12,480 --> 00:08:16,240 Speaker 2: in that regard. And so a school gets extra points 131 00:08:16,240 --> 00:08:22,360 Speaker 2: in our ranking if they have a robust ROTC program 132 00:08:22,640 --> 00:08:25,240 Speaker 2: serving in the military, if they students go on into 133 00:08:25,280 --> 00:08:29,400 Speaker 2: the Peace Corps, if they are friendly to people financially 134 00:08:29,480 --> 00:08:35,120 Speaker 2: who serve in America Corps. If their voter registration numbers 135 00:08:35,240 --> 00:08:37,360 Speaker 2: are high and they do what they need to do 136 00:08:37,440 --> 00:08:42,440 Speaker 2: to make voting easier for their students. If they use 137 00:08:42,480 --> 00:08:47,120 Speaker 2: some of their work study money to provide community service 138 00:08:47,200 --> 00:08:50,320 Speaker 2: opportunities rather than just you know, free free labor for 139 00:08:50,360 --> 00:08:53,679 Speaker 2: the college, that sort of thing. And so when you 140 00:08:53,720 --> 00:09:00,800 Speaker 2: put those three things together, you get an entirely different ranking. 141 00:09:00,840 --> 00:09:03,720 Speaker 2: All the other rankings, it's all the top thirty or 142 00:09:03,760 --> 00:09:06,440 Speaker 2: all the colleges that are always there, right, they're almost 143 00:09:06,440 --> 00:09:10,040 Speaker 2: never changed, harvardt Stanford, maybe a couple of stories. 144 00:09:10,120 --> 00:09:13,520 Speaker 1: They freak out if they lose a notch er two. 145 00:09:14,080 --> 00:09:16,040 Speaker 1: I mean, you know, you hear about it. I mean, 146 00:09:16,720 --> 00:09:19,040 Speaker 1: you know, I think Georgetown got all freaked out that 147 00:09:19,080 --> 00:09:21,560 Speaker 1: they went from twenty five to twenty seven. Yeah, they're like, 148 00:09:21,600 --> 00:09:24,000 Speaker 1: oh my god, you know this guy's falling. No, this 149 00:09:24,160 --> 00:09:25,800 Speaker 1: is huge for these colleges. 150 00:09:25,880 --> 00:09:30,480 Speaker 2: And again, so you go to the top twenty or thirty, 151 00:09:30,559 --> 00:09:33,120 Speaker 2: and they're all schools most people can't get into, right, 152 00:09:33,280 --> 00:09:39,760 Speaker 2: they're all country clubs and look elite schools. They do 153 00:09:39,800 --> 00:09:43,000 Speaker 2: a good job. I wound up, you know, transferring to 154 00:09:43,000 --> 00:09:46,880 Speaker 2: one and got an elite degree after going to state school. 155 00:09:48,080 --> 00:09:50,400 Speaker 2: More power to it. If you can get in, you'll 156 00:09:50,400 --> 00:09:52,199 Speaker 2: make a lot of money, you'll have a great network. 157 00:09:52,480 --> 00:09:56,520 Speaker 2: But most people can't, right, that's the point. So yeah, 158 00:09:56,559 --> 00:10:00,800 Speaker 2: so the top schools in US News this year barely 159 00:10:00,840 --> 00:10:06,040 Speaker 2: budged the top thirty schools in Washington Monthly. Half of 160 00:10:06,160 --> 00:10:10,719 Speaker 2: the worried these elite schools. Well, and you know, Duke and. 161 00:10:11,120 --> 00:10:14,160 Speaker 1: Say your Rice is your Vanderbilts, They're on there. I 162 00:10:14,200 --> 00:10:16,000 Speaker 1: was looking at the South, but then you got a 163 00:10:16,040 --> 00:10:18,559 Speaker 1: school like that's number I was just looking, right, the 164 00:10:18,640 --> 00:10:21,160 Speaker 1: number one school in the South for best bang for 165 00:10:21,200 --> 00:10:24,000 Speaker 1: your buck, and the number one liberal arts college is Brea. 166 00:10:24,480 --> 00:10:28,520 Speaker 2: Yeah, it's the number one school among fourteen hundred colleges 167 00:10:28,559 --> 00:10:29,120 Speaker 2: that we rank. 168 00:10:29,600 --> 00:10:32,000 Speaker 1: That's I mean, nobody would have had that where's Brea 169 00:10:32,000 --> 00:10:33,439 Speaker 1: in the US news rank? Oh? 170 00:10:33,720 --> 00:10:36,160 Speaker 2: I mean, you know, if you off to the side 171 00:10:36,200 --> 00:10:38,080 Speaker 2: and some side ranking, they probably give it, you know, 172 00:10:38,440 --> 00:10:40,640 Speaker 2: some lip service. But we're the only ranking in the 173 00:10:40,640 --> 00:10:46,000 Speaker 2: country that says Berea University in Barrack in breat Kentucky. Berea, 174 00:10:46,080 --> 00:10:46,640 Speaker 2: by the way. 175 00:10:46,880 --> 00:10:49,920 Speaker 1: I mean, excuse me, yeah, I know we're both is the. 176 00:10:49,960 --> 00:10:53,959 Speaker 2: Number one school and and why because they do an 177 00:10:54,000 --> 00:10:59,080 Speaker 2: astonishing job of providing a grant education to students of 178 00:10:59,080 --> 00:11:02,720 Speaker 2: modest means. Most of their students percent of their students, 179 00:11:02,720 --> 00:11:06,600 Speaker 2: by the way, are on pelgrams. That's the federal Where 180 00:11:06,640 --> 00:11:10,360 Speaker 2: is where is Brion? Bria is in Borea and it's 181 00:11:10,360 --> 00:11:13,080 Speaker 2: I don't know, seventy five miles from Lexington, if that 182 00:11:13,640 --> 00:11:14,240 Speaker 2: puts you in the. 183 00:11:14,520 --> 00:11:15,880 Speaker 1: So it's in that side of Kentucky. 184 00:11:15,960 --> 00:11:20,160 Speaker 2: Yeah, Lexington, and almost all their students are from the Appalachia. 185 00:11:20,840 --> 00:11:24,920 Speaker 2: Colige was founded in eighteen fifty five by abolitionists, and 186 00:11:25,000 --> 00:11:27,000 Speaker 2: it was the first college south of the Mason Dixon 187 00:11:27,040 --> 00:11:30,840 Speaker 2: line to educate both blacks and whites and women. And 188 00:11:31,360 --> 00:11:33,840 Speaker 2: for more than one hundred years it's had the aspiration 189 00:11:34,080 --> 00:11:37,079 Speaker 2: to charge no tuition to anybody, and they don't quite 190 00:11:37,320 --> 00:11:40,040 Speaker 2: get there, but the vast majority of the students pay 191 00:11:40,120 --> 00:11:42,760 Speaker 2: little to nothing and they do that. How do they? 192 00:11:42,800 --> 00:11:43,880 Speaker 1: Yeah, how do they do it? 193 00:11:43,520 --> 00:11:46,120 Speaker 2: It's fascinating. I did. We would do a podcast and 194 00:11:46,160 --> 00:11:49,679 Speaker 2: I interviewed the president Cynthia Nixon is her name. 195 00:11:50,440 --> 00:11:53,280 Speaker 1: Number one, that's not that Cynthia Nixon, Yeah. 196 00:11:53,200 --> 00:11:56,920 Speaker 2: A different they think that's her name. A very bright woman, 197 00:11:57,559 --> 00:12:00,240 Speaker 2: and she explained it to us Number one, very what 198 00:12:01,280 --> 00:12:05,360 Speaker 2: really designated work college meaning all of their students get 199 00:12:05,360 --> 00:12:08,440 Speaker 2: work study money, so and then some of that money 200 00:12:08,480 --> 00:12:11,920 Speaker 2: goes to pay their tuition and some of it goes 201 00:12:11,960 --> 00:12:18,280 Speaker 2: in their pocket. Number two h And really the biggest 202 00:12:18,320 --> 00:12:22,400 Speaker 2: reason is for one hundred years they've been building a 203 00:12:22,400 --> 00:12:28,679 Speaker 2: a endowment through small donations that's now like a billion 204 00:12:28,679 --> 00:12:29,600 Speaker 2: and a half dollars. 205 00:12:29,880 --> 00:12:31,760 Speaker 1: Well, they just are really smart investors. 206 00:12:32,720 --> 00:12:34,760 Speaker 2: Smart investors. And if you start a hundred years ago 207 00:12:35,160 --> 00:12:39,560 Speaker 2: and you keep going magical compound interest and instead of 208 00:12:39,600 --> 00:12:42,960 Speaker 2: like using it to build sports stadiums or endow you know. 209 00:12:43,080 --> 00:12:46,040 Speaker 1: Or beautiful dorms, right, that becomes the arms race at 210 00:12:46,080 --> 00:12:49,680 Speaker 1: these universities for dorms that look like they look like 211 00:12:49,800 --> 00:12:52,199 Speaker 1: midtown Manhattan apartments exactly. 212 00:12:52,480 --> 00:12:54,599 Speaker 2: It all goes or not. You know, the bulk of 213 00:12:54,640 --> 00:12:58,720 Speaker 2: it goes to keeping costs down for students and then 214 00:12:58,760 --> 00:13:01,960 Speaker 2: the students. It's it's, it's, it's it's a selective ish university. 215 00:13:02,040 --> 00:13:06,160 Speaker 2: Not everybody gets in. It's not like Yale, but it's 216 00:13:06,160 --> 00:13:12,160 Speaker 2: an academically rigorous institution. When you go look on the 217 00:13:12,160 --> 00:13:15,640 Speaker 2: student reports, it's like, wow, I'm working my tail off here. 218 00:13:17,280 --> 00:13:23,000 Speaker 2: But when students leave, they earn five thousand dollars more 219 00:13:23,240 --> 00:13:27,600 Speaker 2: per year than their peers, their demographic peers who will 220 00:13:27,640 --> 00:13:31,000 Speaker 2: go to colin So you know, that's just our idea 221 00:13:31,000 --> 00:13:32,840 Speaker 2: of a great school. And if you look at like 222 00:13:32,920 --> 00:13:37,880 Speaker 2: just the top five the most the highest ranking elite 223 00:13:37,880 --> 00:13:43,559 Speaker 2: school is Princeton at number five. I think Harvard's down 224 00:13:43,559 --> 00:13:47,079 Speaker 2: at twenty six or something. But above Princeton are three 225 00:13:47,240 --> 00:13:52,640 Speaker 2: campuses of the California State University system. The number two 226 00:13:52,920 --> 00:13:56,600 Speaker 2: Fresno State, which I'm going to guess most of your 227 00:13:57,080 --> 00:14:00,480 Speaker 2: listeners and viewers don't know much about it, maybe have 228 00:14:00,559 --> 00:14:02,840 Speaker 2: never heard of, but it shows up on a Saturday 229 00:14:02,920 --> 00:14:03,880 Speaker 2: night in college football. 230 00:14:04,040 --> 00:14:05,720 Speaker 1: It does bully, you do see that. 231 00:14:06,320 --> 00:14:11,480 Speaker 2: But they are a fabulous institution. They charge very little. 232 00:14:11,920 --> 00:14:15,520 Speaker 2: The students come from that Central Valley of California, many 233 00:14:15,559 --> 00:14:18,760 Speaker 2: of them from very poor backgrounds. The president of the 234 00:14:18,840 --> 00:14:22,320 Speaker 2: university grew up working on a farm in the area. 235 00:14:22,640 --> 00:14:26,800 Speaker 2: The students when they graduate tend to stay in the area. 236 00:14:26,840 --> 00:14:28,560 Speaker 2: They don't jet off to New York and work for 237 00:14:28,600 --> 00:14:32,200 Speaker 2: a you know, hedge fund, and some of them go 238 00:14:32,320 --> 00:14:37,280 Speaker 2: back to work for agricultural companies where as children they 239 00:14:37,320 --> 00:14:43,200 Speaker 2: pick crops. That is upward mobility, my friend. Right, And 240 00:14:43,280 --> 00:14:45,800 Speaker 2: so you know, these are the colleges that are really 241 00:14:46,040 --> 00:14:49,960 Speaker 2: the ones we should all elevate and try to support, 242 00:14:50,040 --> 00:14:54,360 Speaker 2: and unfortunately they are. They are underinvested in. They don't 243 00:14:54,880 --> 00:15:00,280 Speaker 2: get anywhere near the money that schools that you know, 244 00:15:01,160 --> 00:15:05,120 Speaker 2: catered to the wealthier student and it's it's kind of 245 00:15:05,120 --> 00:15:05,520 Speaker 2: a crime. 246 00:15:06,120 --> 00:15:10,000 Speaker 1: You know. It's interesting if there's a pattern, loose pattern 247 00:15:10,040 --> 00:15:12,560 Speaker 1: that I've noticed a lot of colleges, meaning these are 248 00:15:12,680 --> 00:15:16,680 Speaker 1: schools that don't have graduate programs right in many cases 249 00:15:17,000 --> 00:15:21,440 Speaker 1: they are just focused on the four year I assume 250 00:15:21,480 --> 00:15:23,640 Speaker 1: that's not a coincidence and how your rankings work that 251 00:15:23,640 --> 00:15:27,120 Speaker 1: that those that these these colleges that are just focused 252 00:15:27,120 --> 00:15:30,600 Speaker 1: on there are not worried about because many many universities 253 00:15:30,640 --> 00:15:33,680 Speaker 1: it is the graduate programs that pay the bills. Right, 254 00:15:33,840 --> 00:15:36,120 Speaker 1: you know, in some ways undergrad is a loss leader, 255 00:15:38,200 --> 00:15:41,280 Speaker 1: and so is there. Do you get a sense that 256 00:15:41,320 --> 00:15:46,800 Speaker 1: those without the graduate schools, without the the the postgrad 257 00:15:47,920 --> 00:15:50,920 Speaker 1: you know, whether it's med schools, law schools, et cetera, 258 00:15:51,840 --> 00:15:55,440 Speaker 1: that it it sort of concentrates the administration on running 259 00:15:55,440 --> 00:15:58,280 Speaker 1: a better four year undergrad system. 260 00:15:58,560 --> 00:16:02,440 Speaker 2: I think there's a lot to that. You know, there 261 00:16:02,440 --> 00:16:06,920 Speaker 2: are tiers of universities that are classified by an institution 262 00:16:07,040 --> 00:16:12,080 Speaker 2: called the Carnegie H Classification for Institutions for Higher Education, 263 00:16:12,840 --> 00:16:16,680 Speaker 2: and we used to follow them kind of rigorously. Because 264 00:16:16,760 --> 00:16:19,680 Speaker 2: US News did funny you should mention this year they 265 00:16:20,680 --> 00:16:24,000 Speaker 2: really switched up their rankings and that and that allowed 266 00:16:24,040 --> 00:16:26,440 Speaker 2: us to kind of free ourselves from how we used 267 00:16:26,440 --> 00:16:29,040 Speaker 2: to do it. And one of the things we did, 268 00:16:29,840 --> 00:16:32,520 Speaker 2: uh afropop what you said, is we pulled all the 269 00:16:32,600 --> 00:16:38,360 Speaker 2: research data out of our main rankings and just made 270 00:16:38,400 --> 00:16:43,640 Speaker 2: a best Colleges for research because that's where the grad 271 00:16:43,760 --> 00:16:47,720 Speaker 2: programs are really really are and those are those are 272 00:16:47,760 --> 00:16:51,720 Speaker 2: the universities, and there's maybe a couple hundred of them 273 00:16:52,040 --> 00:16:58,520 Speaker 2: that have very big robust med schools, law schools, engineering schools, 274 00:16:58,560 --> 00:16:59,280 Speaker 2: and so forth. 275 00:17:00,120 --> 00:17:01,880 Speaker 1: You look at your list, and it is the big 276 00:17:02,120 --> 00:17:05,480 Speaker 1: These are the school the big schools. It's Michigan, it's Stanford, 277 00:17:05,600 --> 00:17:08,520 Speaker 1: it's Berkeley, it's pur New Texas A and M one 278 00:17:08,560 --> 00:17:11,880 Speaker 1: through five, all of them huge research institutions. 279 00:17:11,960 --> 00:17:15,600 Speaker 2: Right, So we said, let's just put those guys in 280 00:17:15,640 --> 00:17:16,679 Speaker 2: their own category. 281 00:17:16,760 --> 00:17:18,879 Speaker 1: By the way, Texas A and M over. Mit, you 282 00:17:18,880 --> 00:17:21,840 Speaker 1: know how much some Texans would love seeing that. 283 00:17:22,400 --> 00:17:26,560 Speaker 2: They do. They they brag on it, and you know, 284 00:17:27,720 --> 00:17:30,679 Speaker 2: not to get too political here, but these are the 285 00:17:30,760 --> 00:17:35,600 Speaker 2: schools that the Trump administration is really going after cuts 286 00:17:35,640 --> 00:17:38,560 Speaker 2: to research grants. One of the things we found in 287 00:17:38,600 --> 00:17:44,600 Speaker 2: doing this exercise, and it's in the story, is that 288 00:17:45,359 --> 00:17:50,840 Speaker 2: sure he's gone after the big research universities in blue 289 00:17:50,880 --> 00:17:54,880 Speaker 2: cities and states, but the ones that are also being hit. 290 00:17:55,440 --> 00:17:57,840 Speaker 2: There are a lot of big research universities in red 291 00:17:57,920 --> 00:18:03,240 Speaker 2: states and in rural areas, and they're getting hurt. And 292 00:18:03,240 --> 00:18:06,840 Speaker 2: and it's like a lot of Trump administration policy, it 293 00:18:07,000 --> 00:18:12,280 Speaker 2: is aimed at his enemies, but it winds up damaging 294 00:18:12,280 --> 00:18:12,760 Speaker 2: his vote. 295 00:18:13,080 --> 00:18:14,880 Speaker 1: There's a whole Paul I can tell you this. There's 296 00:18:14,880 --> 00:18:17,520 Speaker 1: a whole bunch of lobbyists making money right now off 297 00:18:17,560 --> 00:18:19,919 Speaker 1: of universities who've hired them to say, hey, get us 298 00:18:19,920 --> 00:18:22,480 Speaker 1: off this target list. We're not what I don't think 299 00:18:22,560 --> 00:18:25,600 Speaker 1: he mean. And and what you find out, I happen 300 00:18:25,680 --> 00:18:29,679 Speaker 1: to know of one very public university that that's having 301 00:18:29,720 --> 00:18:33,320 Speaker 1: some success doing that because they got as you just said, 302 00:18:34,000 --> 00:18:36,520 Speaker 1: they lost some stuff that was aimed at punishing a 303 00:18:36,600 --> 00:18:41,080 Speaker 1: Northeastern school and it ended up punishing the southern big 304 00:18:41,119 --> 00:18:45,399 Speaker 1: state school. And that is it wasn't the intent. And 305 00:18:45,440 --> 00:18:48,440 Speaker 1: so like just like the farmers, he's trying, they're trying 306 00:18:48,440 --> 00:18:50,480 Speaker 1: to create carve outs now you know, which of course 307 00:18:50,640 --> 00:18:52,520 Speaker 1: just got gum up the whole works. 308 00:18:52,720 --> 00:18:55,520 Speaker 2: Yeah, yeah, no, And it's and it's a it's a 309 00:18:55,600 --> 00:18:59,680 Speaker 2: politics truck that we've never seen in this country. 310 00:19:00,400 --> 00:19:05,480 Speaker 1: As the weaponizing college research. Right, Like that's another. 311 00:19:04,960 --> 00:19:11,960 Speaker 2: Level specific targeting of your political enemies on funding that 312 00:19:12,119 --> 00:19:17,080 Speaker 2: was never intended to be anything but given out on merit, 313 00:19:17,200 --> 00:19:17,920 Speaker 2: right given out. 314 00:19:17,960 --> 00:19:21,080 Speaker 1: And it's and not even really political stuff. I mean, 315 00:19:21,160 --> 00:19:25,160 Speaker 1: you know, whether it's health funding, whether it's research. I mean, 316 00:19:25,440 --> 00:19:28,240 Speaker 1: this is stuff that is arguably for the masses. 317 00:19:28,560 --> 00:19:34,920 Speaker 2: Yeah yeah, so so so I hope that people take 318 00:19:34,960 --> 00:19:39,320 Speaker 2: away from our rankings. I mean, I think our rankings 319 00:19:39,760 --> 00:19:44,479 Speaker 2: resonate at this moment, because there's so much fury at 320 00:19:44,560 --> 00:19:48,480 Speaker 2: higher end, and the fury is in all directions, from 321 00:19:48,520 --> 00:19:52,479 Speaker 2: all quarters. And you know, a lot of it is 322 00:19:52,520 --> 00:19:56,560 Speaker 2: political and partisan, and I think, you know, maybe have 323 00:19:56,760 --> 00:20:00,280 Speaker 2: has grains of truth in it, but is also you know, 324 00:20:00,680 --> 00:20:05,159 Speaker 2: kind of hypocritical. People. I'm furious about elite universities and 325 00:20:05,200 --> 00:20:08,400 Speaker 2: college in general, and absolutely desperate to get their kids 326 00:20:08,440 --> 00:20:14,840 Speaker 2: in there. But part of the fury is is real. 327 00:20:15,040 --> 00:20:17,880 Speaker 2: Is it costs a lot of money now to send 328 00:20:18,400 --> 00:20:21,159 Speaker 2: a kid to college or send yourself to college. I 329 00:20:21,160 --> 00:20:26,640 Speaker 2: mean real inflation adjusted spending for two year schools has 330 00:20:26,680 --> 00:20:30,600 Speaker 2: nearly doubled since nineteen ninety four, and more than doubled 331 00:20:31,000 --> 00:20:34,960 Speaker 2: for four year schools. And you know, people are saying, 332 00:20:34,960 --> 00:20:39,159 Speaker 2: you know, is college still worth it? Well, you go 333 00:20:39,200 --> 00:20:41,359 Speaker 2: to the Washington Mother, you see hundreds of colleges that 334 00:20:41,400 --> 00:20:45,439 Speaker 2: are really very much worth it. But in general, you know, 335 00:20:45,440 --> 00:20:49,520 Speaker 2: at Toyota is a great buy at thirty thousand dollars, yeah, 336 00:20:49,920 --> 00:20:52,040 Speaker 2: roll or whatever. At one hundred and fifty thousand dollars, 337 00:20:52,080 --> 00:20:54,760 Speaker 2: it's not worth it. Right, So until we can get 338 00:20:54,760 --> 00:20:59,119 Speaker 2: the cost of college down and prove the quality, because 339 00:20:59,119 --> 00:21:02,480 Speaker 2: a lot of colleges are not delivering quality. You're going 340 00:21:02,560 --> 00:21:05,960 Speaker 2: to have this this fury, this this distrust. 341 00:21:12,760 --> 00:21:15,800 Speaker 1: There's a reason results matter more than promises, just like 342 00:21:15,880 --> 00:21:18,960 Speaker 1: there's a reason Morgan and Morgan is America's largest injury 343 00:21:19,040 --> 00:21:21,800 Speaker 1: law firm. For the last thirty five years, they've recovered 344 00:21:21,920 --> 00:21:25,080 Speaker 1: twenty five billion dollars for more than half a million clients. 345 00:21:25,640 --> 00:21:29,200 Speaker 1: It includes cases where insurance companies offered next to nothing, 346 00:21:29,480 --> 00:21:32,280 Speaker 1: just hoping to get away with paying as little as possible. 347 00:21:32,359 --> 00:21:35,440 Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact, 348 00:21:35,520 --> 00:21:38,640 Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars, 349 00:21:39,119 --> 00:21:42,159 Speaker 1: which was a staggering forty times the amount that the 350 00:21:42,200 --> 00:21:45,480 Speaker 1: insurance company originally offered. That original offer six hundred and 351 00:21:45,480 --> 00:21:48,480 Speaker 1: fifty thousand dollars twenty six million, six hundred and fifty 352 00:21:48,520 --> 00:21:50,720 Speaker 1: thousand dollars. So with more than one thousand lawyers across 353 00:21:50,760 --> 00:21:53,200 Speaker 1: the country, they know how to deliver for everyday people. 354 00:21:53,280 --> 00:21:56,000 Speaker 1: If you're injured, you need a lawyer, You need somebody 355 00:21:56,000 --> 00:21:58,560 Speaker 1: to get your back. Check out for the People dot com, 356 00:21:58,600 --> 00:22:03,760 Speaker 1: Slash podcast or now pound law, Pound five two nine 357 00:22:03,960 --> 00:22:07,480 Speaker 1: law on your cell phone. And remember all law firms 358 00:22:07,480 --> 00:22:09,359 Speaker 1: are not the same, so check out Morgan and Morgan. 359 00:22:09,440 --> 00:22:16,560 Speaker 1: Their fee is free unless they win. What's the best 360 00:22:16,600 --> 00:22:18,560 Speaker 1: way to find out? I mean, I'll tell you all 361 00:22:18,560 --> 00:22:22,359 Speaker 1: these rankings where I feel and it's one of those 362 00:22:22,359 --> 00:22:25,000 Speaker 1: things I didn't really appreciate until after I got on 363 00:22:25,080 --> 00:22:28,760 Speaker 1: a campus. But what kind of professors? What kind of 364 00:22:28,760 --> 00:22:31,480 Speaker 1: teachers do they have? How do they hire their professors? 365 00:22:31,520 --> 00:22:36,200 Speaker 1: Do they demand professors that do research and prioritize their 366 00:22:36,280 --> 00:22:41,600 Speaker 1: own work or do they hire teachers real coaches? When 367 00:22:41,640 --> 00:22:43,399 Speaker 1: I mean a teacher, I mean like a coach you 368 00:22:43,440 --> 00:22:48,520 Speaker 1: know who becomes that mentor you know? I mean, look, 369 00:22:48,680 --> 00:22:54,200 Speaker 1: I teach part time. I'm I'm on use USC's campus 370 00:22:54,280 --> 00:22:57,639 Speaker 1: right now, and I did an event last night and 371 00:22:57,680 --> 00:23:00,280 Speaker 1: three of my former students showed up and it it 372 00:23:00,320 --> 00:23:02,760 Speaker 1: brought a ton of joy to me. Right It is 373 00:23:03,359 --> 00:23:05,199 Speaker 1: that there is a joy you get out of it 374 00:23:05,240 --> 00:23:07,680 Speaker 1: when you feel like you've you've been able to pass 375 00:23:07,720 --> 00:23:11,399 Speaker 1: something on, you've been able to inspire a student. And 376 00:23:11,480 --> 00:23:14,760 Speaker 1: not all people are motivated by that or have that. 377 00:23:16,200 --> 00:23:19,120 Speaker 1: Is there a way to measure what kind of because 378 00:23:19,160 --> 00:23:21,200 Speaker 1: you could you look at a resume of somebody, well, 379 00:23:21,240 --> 00:23:22,679 Speaker 1: what a great resume, but you have no idea if 380 00:23:22,680 --> 00:23:24,600 Speaker 1: there are any good at being a teacher and they 381 00:23:24,600 --> 00:23:26,280 Speaker 1: know how to be a coach, you know, that sort 382 00:23:26,320 --> 00:23:30,760 Speaker 1: of mindset, you know, is that researchable? Is that rankable? 383 00:23:31,600 --> 00:23:35,800 Speaker 2: So we've really struggled with this, and there are there 384 00:23:35,880 --> 00:23:39,520 Speaker 2: is some data that you can use to measure the 385 00:23:39,640 --> 00:23:45,080 Speaker 2: quality of student engagement, quality of teaching, but we are 386 00:23:45,720 --> 00:23:51,280 Speaker 2: sufficiently doubtful of it to not We've written stories about it. 387 00:23:51,320 --> 00:23:53,520 Speaker 1: We've you know, is this what sort of the student 388 00:23:53,680 --> 00:23:55,000 Speaker 1: reaction to professors? Is it? 389 00:23:55,160 --> 00:23:59,560 Speaker 2: Using those rate of professors professor? There's something called the 390 00:24:00,920 --> 00:24:06,920 Speaker 2: National Survey of Student Engagement. You know, they ask students 391 00:24:06,960 --> 00:24:10,480 Speaker 2: and you know, faculty, how many times during the course 392 00:24:10,520 --> 00:24:12,840 Speaker 2: of the week have you met with a professor outside 393 00:24:12,880 --> 00:24:16,960 Speaker 2: the classroom? Right? How many ten page or more papers did. 394 00:24:16,800 --> 00:24:17,680 Speaker 1: You have to write? 395 00:24:17,960 --> 00:24:24,879 Speaker 2: They try to measure the degree to which actual evidence 396 00:24:25,040 --> 00:24:30,240 Speaker 2: based practices that we know lead to learning are happening 397 00:24:30,280 --> 00:24:34,399 Speaker 2: on the ground. Not bad, but it's not of a 398 00:24:34,480 --> 00:24:37,360 Speaker 2: quality that we've been felt comfortable to put in our rankings. 399 00:24:37,359 --> 00:24:41,440 Speaker 2: But you're asking the right question anecdotally, Like I went 400 00:24:41,440 --> 00:24:43,680 Speaker 2: to the University of Missouri my freshman year. It's good, 401 00:24:43,760 --> 00:24:50,440 Speaker 2: good school. The flag that I transferred to Northwestern. Honestly, 402 00:24:50,600 --> 00:24:52,880 Speaker 2: the quality of the teaching at Northwestern wasn't any better 403 00:24:52,880 --> 00:24:55,720 Speaker 2: than the quality teaching that I had at MISSOI I 404 00:24:55,840 --> 00:24:56,520 Speaker 2: bet that's. 405 00:24:56,560 --> 00:24:59,479 Speaker 1: Just how to pay higher rent that they did. 406 00:25:00,440 --> 00:25:03,680 Speaker 2: I've given lectures to, you know, many at many colleges. 407 00:25:03,920 --> 00:25:06,359 Speaker 2: I've been doing this college ranking thing for twenty years. 408 00:25:07,000 --> 00:25:13,080 Speaker 2: And you landed some small, Bucolic, you know, not well 409 00:25:13,119 --> 00:25:18,080 Speaker 2: known college in the middle of nowhere, and you know, 410 00:25:18,720 --> 00:25:23,879 Speaker 2: you meet these professors who are just wonderful, and they're 411 00:25:24,359 --> 00:25:27,439 Speaker 2: very smart, and the students adore them, and they have 412 00:25:27,520 --> 00:25:33,440 Speaker 2: degrees from very prestigious universities. The thing is, we overproduce 413 00:25:33,600 --> 00:25:36,520 Speaker 2: academic talent in this country. Right. Most people that get 414 00:25:36,560 --> 00:25:41,760 Speaker 2: PhDs struggle to find teaching jobs. And that's tough if 415 00:25:41,800 --> 00:25:44,399 Speaker 2: you're in that profession. But it's great if you're a 416 00:25:44,640 --> 00:25:47,320 Speaker 2: college in some far flung place. Sure you got your 417 00:25:47,320 --> 00:25:48,399 Speaker 2: pick a great talent. 418 00:25:48,760 --> 00:25:52,280 Speaker 1: Yeah, you get a Harvard train, Princeton train, Michigan train 419 00:25:52,400 --> 00:25:54,960 Speaker 1: at you know, at a small college in the middle 420 00:25:54,960 --> 00:25:56,000 Speaker 1: of Canthus. Yeah. 421 00:25:56,040 --> 00:25:59,880 Speaker 2: And the less research they're doing, the more time they're 422 00:26:00,040 --> 00:26:03,240 Speaker 2: all right, I'll just put my my my mission is 423 00:26:03,280 --> 00:26:08,080 Speaker 2: to is to educate these kids. So I do think 424 00:26:08,680 --> 00:26:13,080 Speaker 2: that the quality of teaching between elite schools and non 425 00:26:13,119 --> 00:26:16,240 Speaker 2: elite schools is very narrow, is very similar. 426 00:26:17,880 --> 00:26:21,600 Speaker 1: So one of the challenges that's coming. I say this. 427 00:26:21,760 --> 00:26:24,760 Speaker 1: I serve on a board at GW, so I hear 428 00:26:24,840 --> 00:26:29,760 Speaker 1: these admissions concerns, meaning it's the so called demographic cliff 429 00:26:30,200 --> 00:26:33,440 Speaker 1: that we are at the beginning of that. I guess 430 00:26:33,480 --> 00:26:36,080 Speaker 1: it's I guess it's my generation's fault. I didn't have 431 00:26:36,200 --> 00:26:39,520 Speaker 1: enough kids. I only had two, right, we didn't have 432 00:26:39,600 --> 00:26:43,199 Speaker 1: there were and you did your job. Yeah, I replaced right, 433 00:26:43,240 --> 00:26:44,040 Speaker 1: we replaced. 434 00:26:43,720 --> 00:26:46,040 Speaker 2: The environment i'd had to, and we can better close 435 00:26:46,080 --> 00:26:46,440 Speaker 2: them back. 436 00:26:47,240 --> 00:26:51,639 Speaker 1: So but there's I look at a lot of your 437 00:26:52,119 --> 00:26:55,680 Speaker 1: the colleges that made the rankings, and I know many 438 00:26:55,680 --> 00:26:58,639 Speaker 1: of them are financially strapped, and I think there is 439 00:26:58,760 --> 00:27:02,000 Speaker 1: going to be a a you know, in the next 440 00:27:02,000 --> 00:27:04,359 Speaker 1: ten or fifteen years, we're gonna see colleges. I have 441 00:27:04,359 --> 00:27:07,200 Speaker 1: a friend of mine who is the former well somebody 442 00:27:07,280 --> 00:27:14,160 Speaker 1: you know Hobart who worked in the Clint administration yep, 443 00:27:14,280 --> 00:27:19,600 Speaker 1: back in the day. And I remember Mark gearan great guy. 444 00:27:20,119 --> 00:27:23,160 Speaker 1: And I remember Mark telling me this fifteen years ago 445 00:27:23,400 --> 00:27:25,480 Speaker 1: when he was at Hobart and then he left and 446 00:27:25,480 --> 00:27:29,080 Speaker 1: then he came back that there's real financial challenges for 447 00:27:29,160 --> 00:27:32,520 Speaker 1: these smaller basically the schools that performed best in your list. 448 00:27:33,320 --> 00:27:36,480 Speaker 1: You know, Bria has sounds like they have a good endowment. 449 00:27:36,760 --> 00:27:40,199 Speaker 1: Many of these smaller colleges do not. And if you 450 00:27:40,280 --> 00:27:42,800 Speaker 1: take away international students and you take away some of 451 00:27:42,840 --> 00:27:46,840 Speaker 1: these things, there's gonna be some good colleges that go 452 00:27:46,960 --> 00:27:52,280 Speaker 1: bankrupt in the next ten years that just disappear. What 453 00:27:52,320 --> 00:27:55,399 Speaker 1: are you sensing, you know, have you been able to 454 00:27:55,440 --> 00:27:58,200 Speaker 1: pick up on how are some of these smaller colleges 455 00:27:58,240 --> 00:28:01,959 Speaker 1: trying to survive in this in this tightening financial climate. 456 00:28:02,600 --> 00:28:05,200 Speaker 2: Well, I'll add one one more piece of news for you. 457 00:28:05,520 --> 00:28:09,760 Speaker 2: In the big beautiful Act that got passed, Uh, there 458 00:28:09,840 --> 00:28:17,560 Speaker 2: is uh statutory language that is saying colleges that don't 459 00:28:17,960 --> 00:28:21,240 Speaker 2: demonstrate bang for the buck, that don't demonstrate a good 460 00:28:21,280 --> 00:28:25,640 Speaker 2: return on investment will eventually get cut off from federal financing. 461 00:28:26,160 --> 00:28:26,560 Speaker 1: Mmm. 462 00:28:27,119 --> 00:28:29,400 Speaker 2: So there's going to be in addition to. 463 00:28:29,320 --> 00:28:30,640 Speaker 1: The interesting reckoning. 464 00:28:31,080 --> 00:28:34,080 Speaker 2: Yeah, and honestly, the Washington Monthly has been calling for 465 00:28:34,119 --> 00:28:38,200 Speaker 2: something like this for years. You know, whether this bill 466 00:28:38,240 --> 00:28:43,280 Speaker 2: got it quite right, we can debate, but the the the. 467 00:28:42,520 --> 00:28:45,720 Speaker 1: Spirit you like the spirit of it a hundred. Look, 468 00:28:45,840 --> 00:28:48,280 Speaker 1: I remember the Obama administration couldn't get anything passed, so 469 00:28:48,320 --> 00:28:50,000 Speaker 1: they decided they were going to put out their own 470 00:28:50,360 --> 00:28:53,120 Speaker 1: best bang. It never really took you remember. 471 00:28:52,800 --> 00:28:55,000 Speaker 2: That, the kind of they we're going to make it 472 00:28:55,040 --> 00:28:56,960 Speaker 2: a ranking, and in the end they said, no, we'll 473 00:28:57,000 --> 00:28:57,560 Speaker 2: just put out. 474 00:28:57,400 --> 00:28:59,520 Speaker 1: The data that I both know what happened. You know, 475 00:28:59,560 --> 00:29:01,760 Speaker 1: I both know what happened. There so many of those 476 00:29:02,040 --> 00:29:05,600 Speaker 1: they all had connections to some higher institution, like don't 477 00:29:05,600 --> 00:29:07,840 Speaker 1: you rank us? Don't you do that? Yeah? 478 00:29:08,600 --> 00:29:11,080 Speaker 2: Exactly. They went about as far as they politically could. 479 00:29:11,120 --> 00:29:15,640 Speaker 2: But uh so, so if you look at our fourteen 480 00:29:15,720 --> 00:29:19,440 Speaker 2: hundred plus schools and our best best uh colleges for 481 00:29:19,480 --> 00:29:23,680 Speaker 2: your tuition and tax dollar ranking. We talked about the 482 00:29:23,680 --> 00:29:28,080 Speaker 2: good ones, the great ones, the you know uh you know, 483 00:29:28,680 --> 00:29:33,520 Speaker 2: uh President, there's a lot of colleges down on the blow. 484 00:29:33,720 --> 00:29:38,719 Speaker 1: That really should go, should disappear. Huh. They need some 485 00:29:38,840 --> 00:29:40,360 Speaker 1: radical reform. 486 00:29:40,560 --> 00:29:43,600 Speaker 2: They charged too much, their students don't make that much money, 487 00:29:43,600 --> 00:29:47,080 Speaker 2: they don't graduate a there there almost predatory. 488 00:29:47,880 --> 00:29:50,480 Speaker 1: Now, let's let's name some names. What's what's a what's 489 00:29:50,480 --> 00:29:50,840 Speaker 1: one that. 490 00:29:50,760 --> 00:29:55,400 Speaker 2: People but you know, you know, liberty University, right, Yeah, 491 00:29:56,880 --> 00:30:02,480 Speaker 2: just a terrible college too late, right, people think is 492 00:30:02,520 --> 00:30:04,440 Speaker 2: a terrific Yeah. 493 00:30:04,040 --> 00:30:06,560 Speaker 1: My kids loved that was on the list. 494 00:30:06,560 --> 00:30:09,320 Speaker 2: At least by our reckoning. Right, I'm sure if you're yeah, 495 00:30:09,760 --> 00:30:13,320 Speaker 2: you know it has its But but so there's a 496 00:30:13,400 --> 00:30:15,479 Speaker 2: lot of schools you hadn't heard of, a lot of 497 00:30:15,920 --> 00:30:18,840 Speaker 2: you know, the arts schools and the music schools where 498 00:30:19,040 --> 00:30:21,120 Speaker 2: you know, students go knowing they're never going to make 499 00:30:21,160 --> 00:30:21,680 Speaker 2: any money. 500 00:30:21,920 --> 00:30:26,480 Speaker 1: Berkeley School of Music, Yeah, one of those very expensive 501 00:30:26,600 --> 00:30:29,680 Speaker 1: and and and selective and no guarantee you're going to 502 00:30:29,760 --> 00:30:32,080 Speaker 1: make it all right. Look, I was a I was 503 00:30:32,120 --> 00:30:37,160 Speaker 1: a musician, yeah, and I did get a music scholarship. 504 00:30:37,200 --> 00:30:39,880 Speaker 1: But I remember toying with Berkeley and thought, man, I'm 505 00:30:39,880 --> 00:30:44,360 Speaker 1: not that that's a you're you're, you're, you're going for 506 00:30:44,440 --> 00:30:47,320 Speaker 1: the dream. And literally it's one percent that makes it 507 00:30:47,520 --> 00:30:48,840 Speaker 1: exactly exactly. 508 00:30:50,360 --> 00:30:57,160 Speaker 2: But so there are a lot of towns kept alive 509 00:30:57,360 --> 00:31:02,040 Speaker 2: in part by their university, and those are the places 510 00:31:02,040 --> 00:31:04,960 Speaker 2: my heart goes out to because one of the great 511 00:31:04,960 --> 00:31:09,640 Speaker 2: things about the American system of higher education is it's dispersed. 512 00:31:09,680 --> 00:31:14,120 Speaker 2: It's all over the country, and you know, you think of. 513 00:31:14,600 --> 00:31:19,840 Speaker 1: The every European marvels at this. Yeah, you just marvel 514 00:31:19,880 --> 00:31:22,960 Speaker 1: at it that we have these institutions everywhere. 515 00:31:23,920 --> 00:31:26,760 Speaker 2: And I think we need a new deal. And we've 516 00:31:26,760 --> 00:31:32,040 Speaker 2: written about this. Kevin Carry, one of our guest editors, 517 00:31:32,080 --> 00:31:34,880 Speaker 2: have written extensively about it. We need a deal, a 518 00:31:34,920 --> 00:31:37,480 Speaker 2: new deal for higher ed. We need to reach out 519 00:31:37,480 --> 00:31:41,600 Speaker 2: to colleges and say, on a voluntary basis, if you're 520 00:31:41,680 --> 00:31:45,960 Speaker 2: willing to control costs, to share your data so that 521 00:31:46,000 --> 00:31:50,160 Speaker 2: we can monitor what's going on and improve quality and 522 00:31:50,600 --> 00:31:54,600 Speaker 2: charge little to nothing to students of modest means, we're 523 00:31:54,600 --> 00:31:57,280 Speaker 2: going to cover you all your costs up to a 524 00:31:57,320 --> 00:32:03,840 Speaker 2: certain modest amount. This is an oversimplification shot, but the 525 00:32:04,040 --> 00:32:09,680 Speaker 2: average cost spending on a student, non accounting, room and board, 526 00:32:10,040 --> 00:32:11,920 Speaker 2: it's about ten thousand dollars a year to. 527 00:32:11,880 --> 00:32:12,360 Speaker 1: Go to college. 528 00:32:12,640 --> 00:32:18,080 Speaker 2: To cost to college. If you offered colleges ten thousand 529 00:32:18,120 --> 00:32:22,200 Speaker 2: dollars per student, that's the deal. And oh, by the way, 530 00:32:22,560 --> 00:32:26,560 Speaker 2: any credit at any college from a class transfers over 531 00:32:26,600 --> 00:32:29,000 Speaker 2: if that student goes to another college in the network. 532 00:32:30,080 --> 00:32:32,959 Speaker 2: That could save thousands of hundreds of these schools anyway, 533 00:32:33,480 --> 00:32:36,360 Speaker 2: And I think a lot of state schools would join in. 534 00:32:36,880 --> 00:32:41,000 Speaker 2: The elites would never do this, but that way you 535 00:32:41,040 --> 00:32:45,440 Speaker 2: could deliver free college or virtually free college to the 536 00:32:45,480 --> 00:32:50,160 Speaker 2: working middle class American. Save these schools, save these towns, 537 00:32:50,640 --> 00:32:55,480 Speaker 2: save these regions, have better quality at lower cost, and 538 00:32:55,520 --> 00:32:57,280 Speaker 2: I could be transformative for the country. 539 00:32:57,560 --> 00:33:02,000 Speaker 1: Well look, I mean I can already hear you essentially 540 00:33:02,040 --> 00:33:04,160 Speaker 1: making this pitch so that left and right both could 541 00:33:04,160 --> 00:33:08,560 Speaker 1: embrace it. Which is that's as much as to save 542 00:33:08,680 --> 00:33:10,680 Speaker 1: these rural towns that do love that. 543 00:33:10,920 --> 00:33:11,040 Speaker 2: You know. 544 00:33:11,120 --> 00:33:12,880 Speaker 1: It's funny, you know, there's this sort of war on 545 00:33:12,960 --> 00:33:16,400 Speaker 1: higher ed on the right, but locally they love you know. 546 00:33:16,440 --> 00:33:18,760 Speaker 1: It's like, frankly, it's like you're a member of Congress. 547 00:33:18,800 --> 00:33:20,520 Speaker 1: I can't stay in Congress, but I like my guy, 548 00:33:20,960 --> 00:33:22,920 Speaker 1: you know, right, I don't like these higher ed guys. 549 00:33:22,960 --> 00:33:24,719 Speaker 1: But you know, we got a nice little university right 550 00:33:24,760 --> 00:33:26,880 Speaker 1: down the street here. It's a good you know, you know, 551 00:33:26,920 --> 00:33:29,440 Speaker 1: they produce really good people. I get my babysitters from there, 552 00:33:29,520 --> 00:33:30,760 Speaker 1: you know, type of mindset. 553 00:33:31,280 --> 00:33:33,320 Speaker 2: Yeah, yeah, And they have they have the local radio station, 554 00:33:33,400 --> 00:33:36,479 Speaker 2: and they have right a lot of times they provide 555 00:33:36,520 --> 00:33:39,920 Speaker 2: the local news exactly exactly. And you know, there are 556 00:33:40,080 --> 00:33:43,520 Speaker 2: a lot of these regional public universities. The Fresno States 557 00:33:43,800 --> 00:33:48,959 Speaker 2: the northeast Missouri state or Southeast Missouri state. These colleges 558 00:33:49,080 --> 00:33:54,560 Speaker 2: that are known regionally but have no national profile. That's 559 00:33:54,600 --> 00:33:58,440 Speaker 2: where most people get their BA degrees, right, and they're 560 00:33:58,520 --> 00:34:03,240 Speaker 2: underinvested in I think they get about one thousand dollars 561 00:34:03,280 --> 00:34:07,320 Speaker 2: per student, less than the flagship universities in those states, 562 00:34:07,920 --> 00:34:10,799 Speaker 2: and maybe half or a third of what gets spent 563 00:34:10,920 --> 00:34:14,080 Speaker 2: for these elite schools. And they're doing the yeomen's work. 564 00:34:14,719 --> 00:34:17,840 Speaker 2: They are the up the engines of upward mobility in 565 00:34:17,840 --> 00:34:18,400 Speaker 2: this country. 566 00:34:20,080 --> 00:34:22,360 Speaker 1: If we had had a conversation in the early nineties 567 00:34:25,160 --> 00:34:28,520 Speaker 1: the question, I would have assumed back then that we 568 00:34:28,520 --> 00:34:32,040 Speaker 1: were going to get what I call mandatory thirteenth and 569 00:34:32,080 --> 00:34:36,560 Speaker 1: fourteenth grade, meaning that the first two years of if 570 00:34:36,680 --> 00:34:39,719 Speaker 1: essentially community college was going to be free, that it 571 00:34:39,800 --> 00:34:42,239 Speaker 1: was going to be available the way public Essentially, we 572 00:34:42,239 --> 00:34:45,120 Speaker 1: were going to extend public education two more years. It 573 00:34:45,239 --> 00:34:49,239 Speaker 1: seemed inevitable. It's where I remember, you know, one of 574 00:34:49,239 --> 00:34:53,560 Speaker 1: the smarter strategic things that Bill Clinton did in ninety two, 575 00:34:53,760 --> 00:34:57,799 Speaker 1: I remember was prioritizing campaign events at community colleges. Yeah, 576 00:34:58,200 --> 00:35:00,919 Speaker 1: and you know, it was just you know, that could 577 00:35:00,920 --> 00:35:02,839 Speaker 1: why do you do that? That's where the people are right, 578 00:35:03,000 --> 00:35:05,080 Speaker 1: like it was a you know, and he was. He 579 00:35:05,160 --> 00:35:08,759 Speaker 1: was making an economic argument, and what better place to 580 00:35:08,840 --> 00:35:11,080 Speaker 1: do that where people are looking to make it to 581 00:35:11,120 --> 00:35:15,240 Speaker 1: the middle class than there, And he took. 582 00:35:15,080 --> 00:35:18,520 Speaker 2: The he began the process of getting the banks out 583 00:35:18,520 --> 00:35:21,279 Speaker 2: of student financing because they were making a footload with 584 00:35:21,360 --> 00:35:24,719 Speaker 2: no risk and making it some college could offer directly. No, 585 00:35:24,840 --> 00:35:28,480 Speaker 2: he was absolutely right. And I don't know if you were, but. 586 00:35:28,400 --> 00:35:30,760 Speaker 1: We're not there. I don't know. I was. I was shocked. 587 00:35:30,760 --> 00:35:33,520 Speaker 1: I am shocked that we didn't get the and I 588 00:35:33,600 --> 00:35:36,160 Speaker 1: know it was in the I think it was in 589 00:35:36,239 --> 00:35:41,640 Speaker 1: the initial draft of one of the bills, Bill Better Yeah, Back. 590 00:35:42,600 --> 00:35:47,480 Speaker 2: It was one of those different versions. It was doing 591 00:35:47,520 --> 00:35:50,719 Speaker 2: for community colleges what I just said we should do 592 00:35:51,120 --> 00:35:55,200 Speaker 2: for colleges. It was. It was basically a set of 593 00:35:55,280 --> 00:36:02,000 Speaker 2: funding and regulatory UH offers that said we're going to 594 00:36:02,040 --> 00:36:07,840 Speaker 2: make community college free in America. And it came very close. 595 00:36:08,760 --> 00:36:11,839 Speaker 2: No Republicans voted for it. I think Joe Manchin voted 596 00:36:11,880 --> 00:36:15,640 Speaker 2: against it. But what really killed it was the four 597 00:36:15,719 --> 00:36:19,799 Speaker 2: year elite schools didn't want all that money because it's 598 00:36:19,840 --> 00:36:23,120 Speaker 2: a fixed pie. They thought they wanted the money for themselves, 599 00:36:23,320 --> 00:36:27,239 Speaker 2: and so they quietly but non publicly bad mouthed it, 600 00:36:27,560 --> 00:36:29,280 Speaker 2: and it didn't make it became mack close. 601 00:36:29,800 --> 00:36:32,120 Speaker 1: Where what is the state the state of the community 602 00:36:32,160 --> 00:36:34,560 Speaker 1: college system? You know, I grew up in Miami, and 603 00:36:34,640 --> 00:36:37,120 Speaker 1: I grew up at the time Miami Day Community College 604 00:36:37,480 --> 00:36:42,480 Speaker 1: was almost a model community college. It except it's now 605 00:36:42,480 --> 00:36:45,000 Speaker 1: a college. It's a four year college, you know, but 606 00:36:45,080 --> 00:36:48,640 Speaker 1: it is a tremendous I mean, it is your path, 607 00:36:49,280 --> 00:36:52,319 Speaker 1: you know, out of out of struggles, and it really is. 608 00:36:52,400 --> 00:36:56,960 Speaker 1: It's a I'm you know, I think it's it's I'm 609 00:36:57,000 --> 00:36:59,040 Speaker 1: glad to hear it. Still it hangs in there because 610 00:36:59,160 --> 00:37:03,919 Speaker 1: I have always been really proud of how successful it's been. 611 00:37:04,400 --> 00:37:07,320 Speaker 1: What is the state of the community college system in general? 612 00:37:07,400 --> 00:37:09,360 Speaker 1: Because it still is the best path out of the 613 00:37:09,920 --> 00:37:10,719 Speaker 1: out of poverty. 614 00:37:11,719 --> 00:37:13,279 Speaker 2: I'm going to answer that question, but before I do, 615 00:37:13,480 --> 00:37:15,680 Speaker 2: one to say, I hope you'll go back to the 616 00:37:15,719 --> 00:37:20,080 Speaker 2: Washington Monthly and read the story about I think we 617 00:37:20,200 --> 00:37:27,359 Speaker 2: call it Florida's Fresh Squeezed Universities. It's about Florida, all 618 00:37:27,400 --> 00:37:31,399 Speaker 2: about the history of how Florida managed. When you think 619 00:37:31,440 --> 00:37:34,560 Speaker 2: of Florida, you don't think higher education, right, No, And. 620 00:37:34,719 --> 00:37:37,680 Speaker 1: I've always been personally frustrated that Florida doesn't have a 621 00:37:37,800 --> 00:37:41,360 Speaker 1: UT system, a Sunni system or the UC system. And 622 00:37:41,440 --> 00:37:44,000 Speaker 1: it's been they've they toyed with it a few times, 623 00:37:44,000 --> 00:37:47,760 Speaker 1: but they never they never quite you know, built those 624 00:37:47,800 --> 00:37:50,600 Speaker 1: type of systems like Texas and California New Art. 625 00:37:50,760 --> 00:37:53,720 Speaker 2: I invite you to read the story, because what Florida 626 00:37:53,840 --> 00:37:58,800 Speaker 2: doesn't have is Harvard level prestige schools. You know, for 627 00:37:58,880 --> 00:38:01,480 Speaker 2: Florida's good school but nobody thinks of it as elite. 628 00:38:02,040 --> 00:38:06,680 Speaker 2: But the system that they do have is more like 629 00:38:07,560 --> 00:38:11,120 Speaker 2: UT or the California system or the New York system 630 00:38:11,480 --> 00:38:15,919 Speaker 2: than you realize. And I'll give you one example. First 631 00:38:15,920 --> 00:38:18,360 Speaker 2: of all, the end result is you can go to 632 00:38:18,360 --> 00:38:21,759 Speaker 2: Florida and go to a four year school. And the 633 00:38:21,800 --> 00:38:24,680 Speaker 2: Florida schools do extremely well on our rankings. 634 00:38:24,880 --> 00:38:26,200 Speaker 1: By the way, they did really well in the US 635 00:38:26,280 --> 00:38:29,239 Speaker 1: News Wrean Kings this year too. Yeah, because they are 636 00:38:29,280 --> 00:38:30,040 Speaker 1: a good price. 637 00:38:30,480 --> 00:38:33,320 Speaker 2: They are a very good price, and that is engineered 638 00:38:33,320 --> 00:38:36,319 Speaker 2: into the Florida system. They give you one example. In 639 00:38:36,400 --> 00:38:45,640 Speaker 2: nineteen the nineteen sixties, they passed a system whereby every 640 00:38:45,760 --> 00:38:50,600 Speaker 2: course at every public university in Florida was had the 641 00:38:50,600 --> 00:38:55,080 Speaker 2: same course number and if you pass that course, you 642 00:38:55,200 --> 00:38:58,959 Speaker 2: passed that course at any other school in Florida. Right. 643 00:39:00,080 --> 00:39:01,759 Speaker 2: As you may know, when you go to community college, 644 00:39:01,880 --> 00:39:04,960 Speaker 2: you take English one oh one and then you transfer 645 00:39:05,160 --> 00:39:07,480 Speaker 2: to a four year school. The four year schools like 646 00:39:07,480 --> 00:39:09,800 Speaker 2: you to say, we don't think that the coge No, 647 00:39:09,840 --> 00:39:10,399 Speaker 2: but you're right. 648 00:39:10,440 --> 00:39:14,319 Speaker 1: In Florida, Santa Fe Community College, which is next to Gainesville, 649 00:39:14,600 --> 00:39:20,520 Speaker 1: it's automatic TCC Tallahassee Community College automatic to Florida State. 650 00:39:21,719 --> 00:39:25,040 Speaker 2: Yeah, so Florida has more as I think a percentage 651 00:39:25,040 --> 00:39:27,600 Speaker 2: of its students getting the first two years at a 652 00:39:27,640 --> 00:39:30,640 Speaker 2: community college and then transferring than any other state in 653 00:39:30,960 --> 00:39:31,360 Speaker 2: the Union. 654 00:39:31,560 --> 00:39:34,440 Speaker 1: Well, it's it's more affordable. I mean, look, if I 655 00:39:34,440 --> 00:39:36,799 Speaker 1: didn't get a scholarship, that was going to be my path. Yeah, 656 00:39:36,920 --> 00:39:40,040 Speaker 1: you do the two years and then transfer because you know, 657 00:39:40,120 --> 00:39:42,400 Speaker 1: it's a more affordable way to get a four year degree. 658 00:39:42,600 --> 00:39:44,759 Speaker 2: I got a son, you know, at Montgomery College on 659 00:39:44,840 --> 00:39:48,000 Speaker 2: and off, so it is a great way. And to 660 00:39:48,040 --> 00:39:52,640 Speaker 2: answer the question, community college has benefited some in this 661 00:39:53,120 --> 00:39:57,640 Speaker 2: big beautiful act because they're going to get they freed 662 00:39:57,719 --> 00:40:00,440 Speaker 2: up money for short termsificates. 663 00:40:00,480 --> 00:40:04,640 Speaker 1: These are kind of trade schoolish type of right, they. 664 00:40:04,560 --> 00:40:07,160 Speaker 2: Do trade school stuff as community college. That's where most 665 00:40:07,320 --> 00:40:12,520 Speaker 2: trade school stuff happens. And you know, people don't quite 666 00:40:12,520 --> 00:40:15,480 Speaker 2: get that, but it's been the case for decades. But 667 00:40:15,760 --> 00:40:18,840 Speaker 2: these are usually the federal government won't give you a 668 00:40:19,040 --> 00:40:21,759 Speaker 2: PELL grant if it's not at least a year long 669 00:40:21,800 --> 00:40:25,040 Speaker 2: program or two year long program. This is for six weeks, 670 00:40:25,360 --> 00:40:28,080 Speaker 2: eight months. I can forget what the timeframe is. We'll 671 00:40:28,080 --> 00:40:30,160 Speaker 2: see if it works because the quality, there's a question 672 00:40:30,200 --> 00:40:33,839 Speaker 2: of quality. But this is a potential gusher of new 673 00:40:33,840 --> 00:40:38,480 Speaker 2: funding for community colleges. But community college is like four 674 00:40:38,560 --> 00:40:42,920 Speaker 2: year There's just a vast range of quality. Some of 675 00:40:42,960 --> 00:40:46,280 Speaker 2: them have very low graduation rates, some of them much higher, 676 00:40:46,719 --> 00:40:51,400 Speaker 2: even holding demographics studies. Some of them are well supported 677 00:40:51,400 --> 00:40:53,640 Speaker 2: by their regions and states, some of them not so much. 678 00:40:54,040 --> 00:40:56,040 Speaker 1: So it's a wide disparity, is what you're saying. There's 679 00:40:56,080 --> 00:40:57,279 Speaker 1: not a consistency to it. 680 00:40:57,600 --> 00:41:00,560 Speaker 2: Correct, correct, And there are some states just don't have 681 00:41:00,560 --> 00:41:05,080 Speaker 2: a lot of community colleges. So it's they are fantastic 682 00:41:05,120 --> 00:41:08,040 Speaker 2: as an institution. We need to do more for them, 683 00:41:08,920 --> 00:41:12,360 Speaker 2: we need to ask more of them. But I completely 684 00:41:12,400 --> 00:41:14,759 Speaker 2: agree with you. They are they are the working end 685 00:41:14,760 --> 00:41:15,560 Speaker 2: of higher education. 686 00:41:28,239 --> 00:41:30,719 Speaker 1: Talk about community connection. I mean, I just you know, 687 00:41:30,840 --> 00:41:33,960 Speaker 1: we had a the way the Miami Dade Community College 688 00:41:33,960 --> 00:41:37,560 Speaker 1: has multiple campuses all around Dade County, and those campuses 689 00:41:37,680 --> 00:41:41,640 Speaker 1: also served as sort of host for community events. You 690 00:41:41,719 --> 00:41:44,919 Speaker 1: might you know, you might take a yoga class there, 691 00:41:45,080 --> 00:41:50,239 Speaker 1: you might take a quilting class there, like you know, look, 692 00:41:50,239 --> 00:41:52,480 Speaker 1: because they had to make money, right, they would offer 693 00:41:52,600 --> 00:41:55,279 Speaker 1: sort of classes not for degrees, but just sort of 694 00:41:55,600 --> 00:41:58,440 Speaker 1: community interest classes to yeah, make a couple of bucks 695 00:41:58,480 --> 00:42:01,360 Speaker 1: to support the education part of things. 696 00:42:01,440 --> 00:42:05,680 Speaker 2: And the partnerships you find between community colleges and employers, 697 00:42:06,280 --> 00:42:08,480 Speaker 2: oh yeah, find these at some of the regional public 698 00:42:08,560 --> 00:42:11,560 Speaker 2: universities too, but even more at the community colleges. If 699 00:42:11,600 --> 00:42:16,759 Speaker 2: you're an employer, you're you know, an airline, right, and 700 00:42:16,840 --> 00:42:20,400 Speaker 2: you need people you work with the community college to 701 00:42:20,480 --> 00:42:25,080 Speaker 2: structure your classes such that they're getting the certificates that 702 00:42:25,120 --> 00:42:28,680 Speaker 2: they need to then work you know, in the logistics 703 00:42:28,719 --> 00:42:32,120 Speaker 2: part of your airline or in the accounting or whatever. 704 00:42:32,560 --> 00:42:35,680 Speaker 2: And you know, maybe they have a paid internship program. 705 00:42:36,040 --> 00:42:40,439 Speaker 2: So that's where a lot of that academic to employment 706 00:42:41,400 --> 00:42:46,600 Speaker 2: connection happens or doesn't happen, again, depending on the leadership 707 00:42:46,640 --> 00:42:49,560 Speaker 2: and the quality of the community college. 708 00:42:50,160 --> 00:42:52,200 Speaker 1: Well, look, I want to pivot now a little bit 709 00:42:52,200 --> 00:42:55,799 Speaker 1: to sort of where the state of journalism and nonprofit 710 00:42:55,880 --> 00:42:57,759 Speaker 1: for profit all that stuff. But I will just say, 711 00:42:57,800 --> 00:43:01,960 Speaker 1: I mean, I think this is this is what I 712 00:43:02,000 --> 00:43:05,000 Speaker 1: call service journalism, and it sort of gets at something 713 00:43:05,040 --> 00:43:09,480 Speaker 1: that I think is overall missing in the conversation that 714 00:43:09,480 --> 00:43:12,080 Speaker 1: we're having about the future of journalism, and I think 715 00:43:12,120 --> 00:43:14,680 Speaker 1: sort of where we lost our way collectively, which is 716 00:43:15,360 --> 00:43:20,000 Speaker 1: just this, there's not enough service journalism. We you know, 717 00:43:21,920 --> 00:43:23,680 Speaker 1: I'm curious what you think of this statement, But I 718 00:43:23,719 --> 00:43:27,040 Speaker 1: have a friend of mine named Richard Gingris who used 719 00:43:27,040 --> 00:43:29,400 Speaker 1: to run the Google News Initiative, and he said, you know, 720 00:43:29,440 --> 00:43:31,080 Speaker 1: the worst thing that happened to journalism was all the 721 00:43:31,080 --> 00:43:37,240 Speaker 1: president's men. And you know where he's going, because ninety 722 00:43:37,239 --> 00:43:41,280 Speaker 1: percent of the work of a journalist is in service 723 00:43:41,320 --> 00:43:44,279 Speaker 1: to their community if they're doing it right. It's ten 724 00:43:44,360 --> 00:43:48,080 Speaker 1: percent of your work over a lifetime. That is that accountability, right. 725 00:43:48,120 --> 00:43:50,720 Speaker 1: That is the stuff you want to put in your resume, 726 00:43:50,880 --> 00:43:53,640 Speaker 1: the stuff you might show up at your obituary, right, 727 00:43:53,719 --> 00:43:56,920 Speaker 1: the stuff that, yeah, you might apply for an award for, 728 00:43:58,120 --> 00:43:59,759 Speaker 1: but it's not what most people are going to know 729 00:43:59,760 --> 00:44:03,279 Speaker 1: you'rejournalism for. And it's not the impact, right, it's and 730 00:44:03,400 --> 00:44:08,000 Speaker 1: it's it's one of these where this ranking system is 731 00:44:08,080 --> 00:44:13,800 Speaker 1: more helpful to the average person than doing a a 732 00:44:14,680 --> 00:44:19,040 Speaker 1: h an audit of of just how campaign spending is 733 00:44:19,080 --> 00:44:22,440 Speaker 1: working these days between the NRCC and the NRSC. Right, 734 00:44:22,640 --> 00:44:25,640 Speaker 1: I'm not saying it's an unimportant story, but it's it's 735 00:44:25,640 --> 00:44:31,080 Speaker 1: not service journalism. And I will tell you in my 736 00:44:31,160 --> 00:44:35,200 Speaker 1: conversations with young aspiring journalists, they're getting in not to 737 00:44:35,840 --> 00:44:38,399 Speaker 1: help people figure out how to save money in their life, right, 738 00:44:38,400 --> 00:44:41,440 Speaker 1: They're getting in because they want to get Joe Biden 739 00:44:41,480 --> 00:44:43,800 Speaker 1: or get Donald Trump. Right that that they're gonna you know, 740 00:44:43,840 --> 00:44:48,400 Speaker 1: they're gonna be the next Bob Warder. How do we 741 00:44:48,480 --> 00:44:50,960 Speaker 1: inspire people to to to want to be in service 742 00:44:51,160 --> 00:44:54,239 Speaker 1: that that journalism is both a service and that part 743 00:44:54,239 --> 00:44:57,200 Speaker 1: of the public service gets you to the point where, yes, 744 00:44:57,719 --> 00:45:01,359 Speaker 1: you you're trying to build some trust so that when 745 00:45:01,360 --> 00:45:03,640 Speaker 1: you do the accountability they believe you. 746 00:45:04,040 --> 00:45:08,480 Speaker 2: Yeah. Look, there's always been a hierarchy in journalism. The 747 00:45:08,520 --> 00:45:12,120 Speaker 2: people who are out there doing the yeoman's work, right, 748 00:45:13,640 --> 00:45:22,080 Speaker 2: covering the school board, covering you know, government agencies, covering services. 749 00:45:22,640 --> 00:45:25,600 Speaker 1: You know, snap benefits. How is that going to work? 750 00:45:25,640 --> 00:45:28,080 Speaker 1: You know things like this. Yeah, you know, the. 751 00:45:28,080 --> 00:45:31,759 Speaker 2: Beat reporters, they get their they get their share of 752 00:45:32,680 --> 00:45:37,399 Speaker 2: love from the editor. But who rules the roost. It's 753 00:45:37,440 --> 00:45:41,880 Speaker 2: the political reporters, right, It's the big time investigative reporters. 754 00:45:42,280 --> 00:45:44,600 Speaker 2: That's where the glory is. That's where you know, you 755 00:45:44,680 --> 00:45:50,200 Speaker 2: make your most money. And when you compound that by 756 00:45:50,239 --> 00:45:55,800 Speaker 2: the utter devastation that has taken place in the last 757 00:45:56,520 --> 00:46:01,719 Speaker 2: really ten years but really more like twenty of local journalism, Chuck, 758 00:46:01,760 --> 00:46:04,799 Speaker 2: it's dead. They've it's been deoyed. 759 00:46:05,160 --> 00:46:10,440 Speaker 1: I think it's the single I think it is the it. 760 00:46:10,840 --> 00:46:14,759 Speaker 1: If you look at the proverbial house of journalism, it 761 00:46:14,840 --> 00:46:18,640 Speaker 1: turned out local was a foundational right, and you knock 762 00:46:18,719 --> 00:46:23,120 Speaker 1: out that it collapsed the entire structure. Right, nobody trusts 763 00:46:23,120 --> 00:46:27,520 Speaker 1: anything because they lost that community tether and that turned 764 00:46:27,520 --> 00:46:31,520 Speaker 1: out to be the single most important connection we had 765 00:46:31,640 --> 00:46:32,280 Speaker 1: with the public. 766 00:46:33,000 --> 00:46:38,520 Speaker 2: So so you know, there's good publications, you know, online 767 00:46:39,560 --> 00:46:43,439 Speaker 2: nonprofit publications trying to bring back local reporting, bring back 768 00:46:44,080 --> 00:46:48,879 Speaker 2: not just accountability reporting like political and bureaucratic, but as 769 00:46:48,920 --> 00:46:50,600 Speaker 2: you say, the service journalism. 770 00:46:50,800 --> 00:46:52,560 Speaker 1: Where do I save money? Where can I take my 771 00:46:52,640 --> 00:46:55,239 Speaker 1: family out of four out to dinner without breaking the bank. 772 00:46:55,280 --> 00:46:59,600 Speaker 1: I know that seems not like the greatest scoop, but 773 00:47:00,040 --> 00:47:01,759 Speaker 1: that's actually how you help your community. 774 00:47:01,880 --> 00:47:03,960 Speaker 2: You know, what are the scores at the high school 775 00:47:04,239 --> 00:47:08,719 Speaker 2: basketball game? People care about that, and you know it's 776 00:47:08,760 --> 00:47:10,759 Speaker 2: you can't just get the data there. There was a 777 00:47:10,800 --> 00:47:14,600 Speaker 2: game there, Somebody tell me, tell me what happened. Uh, 778 00:47:15,160 --> 00:47:22,040 Speaker 2: you know, weather Best drives within three hours of my town. 779 00:47:22,200 --> 00:47:25,720 Speaker 2: I mean there's a thousand things that people want and need. 780 00:47:27,120 --> 00:47:31,200 Speaker 2: But again, the economic underpinnings of that kind of work 781 00:47:31,200 --> 00:47:35,799 Speaker 2: have disappeared, primarily because of Google and Facebook, and you 782 00:47:35,840 --> 00:47:38,799 Speaker 2: know there's other reasons for it, but it is primarily 783 00:47:39,440 --> 00:47:45,359 Speaker 2: the advertising dollar has been hoarded by the Silicon Valley platforms, 784 00:47:45,400 --> 00:47:48,440 Speaker 2: and without advertising, it is really hard to make it 785 00:47:48,480 --> 00:47:51,880 Speaker 2: in this in this business. And I run a publication 786 00:47:52,080 --> 00:47:57,759 Speaker 2: that for a while was doing very well producing online 787 00:47:57,800 --> 00:48:01,680 Speaker 2: content that was supported by advertising, and then it disappeared. 788 00:48:01,920 --> 00:48:04,719 Speaker 1: So I've lived, and you don't even know why it disappeared, right, 789 00:48:04,760 --> 00:48:07,920 Speaker 1: because they never were transparent about how the algorithm worked, right. 790 00:48:08,200 --> 00:48:12,160 Speaker 2: Correct, But you know, in a general sense, we know, 791 00:48:12,400 --> 00:48:21,160 Speaker 2: right they monopolized. I mean Google has lost an anti 792 00:48:21,160 --> 00:48:29,600 Speaker 2: trust case this year monopolizing the ad tech infrastructure, and 793 00:48:29,600 --> 00:48:38,080 Speaker 2: and they you know, the connection between readers and advertisers 794 00:48:38,200 --> 00:48:41,399 Speaker 2: at the local level has largely disappeared. There's still some 795 00:48:42,320 --> 00:48:44,560 Speaker 2: and I think you can come back with the right policies, 796 00:48:44,600 --> 00:48:48,280 Speaker 2: but boy, it's tough out there. And anybody doing local 797 00:48:48,320 --> 00:48:53,160 Speaker 2: service journalism I agree with that. My hat's off to them. Well, 798 00:48:53,160 --> 00:48:56,879 Speaker 2: you know, it's interesting the what what I've discovered. I mean, 799 00:48:56,880 --> 00:48:58,960 Speaker 2: I'm trying to throw. 800 00:48:58,719 --> 00:49:01,400 Speaker 1: Myself into this issue a little bit and working on 801 00:49:01,440 --> 00:49:04,080 Speaker 1: a few projects of trying to is it possible to 802 00:49:04,120 --> 00:49:08,040 Speaker 1: bring back a to create a for profit local news environment, 803 00:49:08,840 --> 00:49:11,120 Speaker 1: And what you do find is, you know who else 804 00:49:11,160 --> 00:49:15,080 Speaker 1: hates the Google ad network? Local businesses. Yeah, they don't 805 00:49:15,120 --> 00:49:19,840 Speaker 1: like it either. They prefer a personalized connection. They prefer 806 00:49:20,680 --> 00:49:24,520 Speaker 1: to advertise in an entity that they that they know. 807 00:49:25,200 --> 00:49:29,160 Speaker 1: Rather there's quote unquote programmatic advertising, you know, et cetera, 808 00:49:29,400 --> 00:49:31,879 Speaker 1: or you just sort of find people that stumble upon 809 00:49:32,000 --> 00:49:37,000 Speaker 1: your stuff. And I do think that, But the I 810 00:49:37,000 --> 00:49:40,839 Speaker 1: don't know whether this is whether you can do this 811 00:49:40,920 --> 00:49:44,440 Speaker 1: without the help of government, And I'm and I'm torn 812 00:49:44,480 --> 00:49:46,279 Speaker 1: on it because I don't know how much we want 813 00:49:46,320 --> 00:49:47,240 Speaker 1: government involved. 814 00:49:47,440 --> 00:49:51,439 Speaker 2: So there's two ways government can help. Government can and philanthropy, 815 00:49:51,640 --> 00:49:57,640 Speaker 2: right can underwrite some of the costs, or government can 816 00:49:57,719 --> 00:50:01,799 Speaker 2: change the rules of the marketplace from the ones that 817 00:50:01,840 --> 00:50:04,960 Speaker 2: wrote yesterday or ten or twenty years ago that destroyed 818 00:50:05,000 --> 00:50:08,120 Speaker 2: the AD dollars two new ones that bring the AD 819 00:50:08,160 --> 00:50:08,840 Speaker 2: dollars back. 820 00:50:09,000 --> 00:50:11,480 Speaker 1: Right, Yeah, you can. You can incentive. You know, there 821 00:50:11,520 --> 00:50:15,760 Speaker 1: is some work being done on the state level trying 822 00:50:15,840 --> 00:50:19,480 Speaker 1: to you know, you might give a tax break to 823 00:50:19,560 --> 00:50:22,600 Speaker 1: a local business that advertises in a local publication. So 824 00:50:22,640 --> 00:50:25,440 Speaker 1: it's not a it's not a direct subsidy to the media. 825 00:50:26,000 --> 00:50:29,640 Speaker 1: It actually you're helping the small business. So it's a frankly, 826 00:50:29,680 --> 00:50:32,080 Speaker 1: it's a way to write, it's a way to make 827 00:50:32,080 --> 00:50:34,760 Speaker 1: it a bipartisan ia to be frank Yeah. 828 00:50:34,760 --> 00:50:37,320 Speaker 2: Well, I hope you know the work of my friend 829 00:50:37,360 --> 00:50:38,840 Speaker 2: and maybe yours, Steve Waldman. 830 00:50:39,040 --> 00:50:41,919 Speaker 1: Oh well it's Steve. Yeah, Okay, Yes, it's Steve's work. 831 00:50:42,000 --> 00:50:46,360 Speaker 1: He's he's been he's been going legislature by legislature, making 832 00:50:46,400 --> 00:50:47,359 Speaker 1: this argument. 833 00:50:49,000 --> 00:50:51,160 Speaker 2: On my board. He's one of my best friends. His 834 00:50:51,560 --> 00:50:55,560 Speaker 2: organization is Rebuilt Local News, and and you know, I 835 00:50:55,640 --> 00:50:57,960 Speaker 2: think he's making real progress in this. 836 00:50:58,480 --> 00:51:00,520 Speaker 1: No, he has, I mean, I I we we've been 837 00:51:00,560 --> 00:51:03,680 Speaker 1: at a couple events together as we sort of are 838 00:51:03,800 --> 00:51:08,680 Speaker 1: pied pipering this stuff, and it is it is. Unfortunately, 839 00:51:08,719 --> 00:51:12,160 Speaker 1: there is a I do think it's still seen through 840 00:51:12,160 --> 00:51:16,120 Speaker 1: a political lens, right, He's not making the case politic 841 00:51:16,480 --> 00:51:19,960 Speaker 1: through a political lens, but it's unfortunately local media is 842 00:51:20,000 --> 00:51:22,960 Speaker 1: being punished for the perception of cable news. You know, 843 00:51:22,960 --> 00:51:27,160 Speaker 1: I used to scream about this that. You know, actually 844 00:51:27,200 --> 00:51:29,359 Speaker 1: the state of journalism is quite good over the last 845 00:51:29,360 --> 00:51:32,040 Speaker 1: ten years. It's amazing some of the work that's out there. 846 00:51:32,360 --> 00:51:35,480 Speaker 1: The problem is our curb appeal, you know. Right, the 847 00:51:35,480 --> 00:51:39,840 Speaker 1: most prominent news organizations were the three cable channels that 848 00:51:40,160 --> 00:51:43,440 Speaker 1: really gave journalism a bad reputation. All right, I'm not 849 00:51:43,480 --> 00:51:45,239 Speaker 1: going to sit here and say one is bad. I'm 850 00:51:45,280 --> 00:51:48,760 Speaker 1: not going to get into that. It just the the 851 00:51:49,000 --> 00:51:52,920 Speaker 1: opinion debate drove the perception of all journalism and it 852 00:51:52,960 --> 00:51:55,279 Speaker 1: really harmed local more than anybody else. 853 00:51:57,160 --> 00:52:00,880 Speaker 2: I think that's right, And I think what happened is, 854 00:52:02,520 --> 00:52:04,600 Speaker 2: you know, when I was a kid, when you were 855 00:52:04,640 --> 00:52:07,520 Speaker 2: a kid, I'm a little older, you you lived in 856 00:52:07,560 --> 00:52:11,319 Speaker 2: a medium sized city or a small town or rural area. 857 00:52:12,480 --> 00:52:14,480 Speaker 2: My parents, you know, I grew up in Saint Louis. 858 00:52:14,480 --> 00:52:19,799 Speaker 2: They read both the Saint Louis papers, and you were 859 00:52:19,880 --> 00:52:23,960 Speaker 2: getting a lot of local news, and you were getting 860 00:52:24,000 --> 00:52:26,640 Speaker 2: political news if you if you had a sizable town 861 00:52:26,719 --> 00:52:30,400 Speaker 2: like Saint Louis, you had your own reporters in Washington 862 00:52:31,400 --> 00:52:35,000 Speaker 2: covering the industries, covering government. 863 00:52:34,920 --> 00:52:37,839 Speaker 1: But through the prism of somebody that lived in Saint Louis. Yeah, 864 00:52:38,680 --> 00:52:40,120 Speaker 1: you know, and that's important. 865 00:52:40,160 --> 00:52:44,239 Speaker 2: It's important to know what the you know, localizedeers going 866 00:52:44,239 --> 00:52:46,480 Speaker 2: to do to the rivers, right, And so the best 867 00:52:46,520 --> 00:52:49,239 Speaker 2: guy covering the Army Corps of Engineers was a Saint 868 00:52:49,320 --> 00:52:54,400 Speaker 2: Louis Post dispatched reporter. But every town in Missouri, you know, 869 00:52:54,800 --> 00:52:58,560 Speaker 2: was carrying a p They were carrying Post dispatch reporting 870 00:52:59,000 --> 00:53:00,920 Speaker 2: and then they were doing local reporting. And a lot 871 00:53:00,960 --> 00:53:05,080 Speaker 2: of those small towns they were very conservative, datorially sure, right, 872 00:53:05,480 --> 00:53:08,720 Speaker 2: but but the news that they were covering, the national 873 00:53:08,760 --> 00:53:12,640 Speaker 2: news that they were covering was whatever every you know, 874 00:53:13,120 --> 00:53:18,200 Speaker 2: it was kind of everybody else read differences from writers 875 00:53:18,239 --> 00:53:28,359 Speaker 2: from from ape, from you're I'm it's back, and it 876 00:53:28,400 --> 00:53:35,399 Speaker 2: was allitable checked. Those small towns no longer have national news, right, 877 00:53:35,560 --> 00:53:38,960 Speaker 2: they can't afford it, and and a lot of them 878 00:53:39,080 --> 00:53:41,919 Speaker 2: just disappeared completely. And so where do people small towns 879 00:53:41,920 --> 00:53:44,600 Speaker 2: get their news. They go to Fox right, or maybe 880 00:53:44,640 --> 00:53:47,400 Speaker 2: they go to MSNBC, and that's not news. I mean 881 00:53:47,440 --> 00:53:53,239 Speaker 2: they're getting bits of reformation, but in a package of partisanship. 882 00:53:54,280 --> 00:53:56,839 Speaker 1: No it and it's so in some ways when you're 883 00:53:56,880 --> 00:54:00,720 Speaker 1: trying to salvage local news, people look at it. Yeah, 884 00:54:00,719 --> 00:54:03,319 Speaker 1: but if you have an agenda right like that, you know, 885 00:54:03,360 --> 00:54:06,479 Speaker 1: they've been convinced that that that every if the media 886 00:54:06,560 --> 00:54:08,800 Speaker 1: is manipulated, it must be up and down the entire 887 00:54:09,440 --> 00:54:11,759 Speaker 1: ecosystem of media, not just on the on the on 888 00:54:11,800 --> 00:54:12,879 Speaker 1: the national cable side. 889 00:54:12,880 --> 00:54:15,040 Speaker 2: But you're I'm really fascinated about what you said, Chuck, 890 00:54:15,200 --> 00:54:20,759 Speaker 2: that businesses want a relationship with their customers. If you 891 00:54:20,840 --> 00:54:23,959 Speaker 2: run a hospital and a you know, rural or vault 892 00:54:24,040 --> 00:54:27,880 Speaker 2: in area, uh, you know all of your business or 893 00:54:27,920 --> 00:54:30,480 Speaker 2: most of it comes from the region, right, you run 894 00:54:30,520 --> 00:54:35,680 Speaker 2: an HVAC company, if you you know, uh, a grocery business, 895 00:54:36,480 --> 00:54:38,560 Speaker 2: you need that relationship with the local and and the 896 00:54:38,960 --> 00:54:42,640 Speaker 2: local papers aren't there to provide it. And I think 897 00:54:42,800 --> 00:54:46,800 Speaker 2: there's an opportunity there. I keep following that trail. 898 00:54:47,040 --> 00:54:49,360 Speaker 1: I'm like, no, I I am, and look, I'm a 899 00:54:49,440 --> 00:54:53,000 Speaker 1: huge believer that that look we've got. As I joke, 900 00:54:53,080 --> 00:54:56,360 Speaker 1: a man named Craig decided classifies ought to be free. YadA, YadA, YadA. 901 00:54:56,440 --> 00:55:01,279 Speaker 1: The entire local news industry got destroyed every big But 902 00:55:03,120 --> 00:55:06,439 Speaker 1: I still think that it's possible local sports and even 903 00:55:06,480 --> 00:55:11,600 Speaker 1: youth sports below high school could be the connective tissue 904 00:55:11,640 --> 00:55:14,520 Speaker 1: that starts the rebuilding process. It may not be the elixir, 905 00:55:14,680 --> 00:55:18,200 Speaker 1: I mean, might it'd be as helpful as classified advertising is, 906 00:55:18,680 --> 00:55:21,000 Speaker 1: but boy, the one I just look at it as 907 00:55:21,040 --> 00:55:25,200 Speaker 1: what can bring red and blue together kids? Right, and 908 00:55:25,520 --> 00:55:28,200 Speaker 1: we love sports in this country, and now sports is 909 00:55:28,239 --> 00:55:31,040 Speaker 1: going to be a pipeline to college more than ever before. 910 00:55:31,400 --> 00:55:33,640 Speaker 1: Right with the variety of you know, with this, with 911 00:55:33,680 --> 00:55:37,439 Speaker 1: this nil, we're making a limp. We're sort of it's 912 00:55:37,600 --> 00:55:41,400 Speaker 1: possible this new world of nil and sports might actually 913 00:55:42,080 --> 00:55:45,719 Speaker 1: expand the opportunities of people paying for college with sports 914 00:55:46,719 --> 00:55:49,680 Speaker 1: the way frankly the arts were used to pay for college, 915 00:55:49,760 --> 00:55:53,400 Speaker 1: you know, previous generations. And and that's maybe that's a 916 00:55:53,400 --> 00:55:57,680 Speaker 1: good thing, let's hope. So I know, I'm not going 917 00:55:57,719 --> 00:56:00,000 Speaker 1: to sit here and say it definitely, but it's possible, 918 00:56:00,080 --> 00:56:03,759 Speaker 1: well that this is a that this is a it's 919 00:56:04,000 --> 00:56:09,319 Speaker 1: a hand up the ladder not necessarily. Uh uh. You know, 920 00:56:09,560 --> 00:56:11,839 Speaker 1: I'm not saying some universities aren't going. I mean, what 921 00:56:11,840 --> 00:56:14,960 Speaker 1: we're seeing in college football is a little insane, but 922 00:56:15,040 --> 00:56:18,160 Speaker 1: if you go to that next level down, you know 923 00:56:18,200 --> 00:56:21,439 Speaker 1: it's really serving as an opportunity for young women. Yep, 924 00:56:21,840 --> 00:56:23,520 Speaker 1: you know in ways that we've not seen before. 925 00:56:24,920 --> 00:56:31,000 Speaker 2: And and you know, the Silicon Valley keeps throwing punches. 926 00:56:32,200 --> 00:56:36,560 Speaker 2: And right now, what's happening to local news is their 927 00:56:37,239 --> 00:56:43,000 Speaker 2: contents being scraped by AI. Right and and there's a 928 00:56:43,040 --> 00:56:49,200 Speaker 2: pretty fascinating movement happening, uh with a company by the 929 00:56:49,280 --> 00:56:52,319 Speaker 2: name of cloud Stream. I think it's called you may 930 00:56:52,320 --> 00:56:56,440 Speaker 2: have looked about it, where they host media sites. It 931 00:56:56,480 --> 00:56:58,920 Speaker 2: holds all kinds of sites and they give you the 932 00:56:58,960 --> 00:57:03,319 Speaker 2: ability to say, I don't want AI scrape in my side, 933 00:57:04,280 --> 00:57:07,080 Speaker 2: and you don't have to do anything. It's done automatically 934 00:57:07,080 --> 00:57:10,960 Speaker 2: for you. Well, that's got the AI folks freaked out 935 00:57:11,480 --> 00:57:17,560 Speaker 2: because the inability to have real time, fact checked information 936 00:57:18,040 --> 00:57:23,120 Speaker 2: in local areas turns AI into mush. Right, they've already 937 00:57:23,120 --> 00:57:25,320 Speaker 2: scraped all the old stuff and so they've got a lot. 938 00:57:25,440 --> 00:57:31,640 Speaker 2: But things change, right, Downtown's changed, roads change, people move, 939 00:57:32,200 --> 00:57:35,520 Speaker 2: and if you can't get that information, and that's what 940 00:57:35,600 --> 00:57:39,440 Speaker 2: the local you know, press has, so they've got more 941 00:57:39,520 --> 00:57:40,640 Speaker 2: leverage than they think. 942 00:57:41,560 --> 00:57:44,480 Speaker 1: No, it's it's look, I'm not you know, I'm one 943 00:57:44,480 --> 00:57:47,240 Speaker 1: of those who just views AI neutrally. It can be 944 00:57:47,280 --> 00:57:50,720 Speaker 1: weaponized for good or weaponized for bad, or frankly, probably 945 00:57:50,760 --> 00:57:53,840 Speaker 1: a little bit of both. We just have to be 946 00:57:53,880 --> 00:57:57,919 Speaker 1: smart about how we use it as a tool. Okay, Yeah, Paul, 947 00:57:57,960 --> 00:58:02,000 Speaker 1: this was great. Washington Monthly is as innovative as ever, 948 00:58:02,560 --> 00:58:04,440 Speaker 1: and what I like about it is that there's always 949 00:58:04,880 --> 00:58:08,480 Speaker 1: it's a home for sort of different ideas. It's you know, 950 00:58:08,840 --> 00:58:12,400 Speaker 1: it's not always the conventional, not just in some ways 951 00:58:12,480 --> 00:58:16,560 Speaker 1: left right debates get conventional. And I hate to say this, 952 00:58:16,600 --> 00:58:20,800 Speaker 1: but there's certain editorial pages that, ah, the editorials new, 953 00:58:20,800 --> 00:58:21,959 Speaker 1: but I've read it one hundred times. 954 00:58:22,360 --> 00:58:25,760 Speaker 2: You kind of know where they're coming from and play 955 00:58:25,800 --> 00:58:27,760 Speaker 2: in a different version of the same song. 956 00:58:28,080 --> 00:58:31,080 Speaker 1: Yeah, I mean, you do seem to have a you know, 957 00:58:31,200 --> 00:58:33,560 Speaker 1: what is it that makes a Washington Monthly story that 958 00:58:33,800 --> 00:58:36,320 Speaker 1: doesn't make it into the Washington Post? What would be 959 00:58:36,360 --> 00:58:40,800 Speaker 1: your what's the secret ingredient in your mind? 960 00:58:42,040 --> 00:58:49,840 Speaker 2: We're not afraid to put the same reporting energy into 961 00:58:50,720 --> 00:58:58,880 Speaker 2: figuring out solutions as slothing out problems and conventional journalism, 962 00:58:59,640 --> 00:59:02,400 Speaker 2: you know, the opinion section may have a piece or 963 00:59:02,400 --> 00:59:06,520 Speaker 2: two on some new policy idea, some new way out right, 964 00:59:07,000 --> 00:59:10,480 Speaker 2: but mostly they feel that that's not their job. No, 965 00:59:10,840 --> 00:59:14,360 Speaker 2: let me find problems, and we find problems. There's no 966 00:59:14,440 --> 00:59:18,880 Speaker 2: politics there, you know, every but solutions have a kind 967 00:59:18,920 --> 00:59:23,520 Speaker 2: of political valance, or they might. And we do this 968 00:59:23,560 --> 00:59:25,560 Speaker 2: twenty four to seven. That's what we did. We're more 969 00:59:25,640 --> 00:59:29,760 Speaker 2: guided by figuring out how to fix things than slew 970 00:59:29,840 --> 00:59:32,840 Speaker 2: the outw I mean, obviously we uh, you know, one 971 00:59:32,880 --> 00:59:35,000 Speaker 2: of my colleagues says, you know that the problem with 972 00:59:35,040 --> 00:59:38,320 Speaker 2: the monthly is we provide solutions to problems people don't 973 00:59:38,320 --> 00:59:40,960 Speaker 2: know they have. Oh, there's not much of a market 974 00:59:41,040 --> 00:59:43,920 Speaker 2: for it. But yeah, and I think that's the big, 975 00:59:44,040 --> 00:59:45,640 Speaker 2: the big difference. Yeah, No, I know. 976 00:59:45,680 --> 00:59:47,760 Speaker 1: It's like, I think one of the big solutions to 977 00:59:47,800 --> 00:59:52,480 Speaker 1: some of our political distrust is to expand Congress. Many 978 00:59:52,480 --> 00:59:55,280 Speaker 1: people don't think that's a problem that needed to be solved. 979 00:59:54,960 --> 00:59:58,960 Speaker 1: I've I've had a hard time getting lay people to 980 00:59:59,120 --> 01:00:02,120 Speaker 1: see that right a way. And it's like just you know, 981 01:00:02,520 --> 01:00:05,840 Speaker 1: but but I take your point. And yet, you know, 982 01:00:05,880 --> 01:00:08,240 Speaker 1: a lot of Times, what you read today in the 983 01:00:08,280 --> 01:00:11,560 Speaker 1: Washington Monthly will be a solution that government eventually agrees 984 01:00:11,600 --> 01:00:13,200 Speaker 1: to in about five years. 985 01:00:12,960 --> 01:00:15,720 Speaker 2: That's how it works, and we have a lot, we 986 01:00:15,840 --> 01:00:16,920 Speaker 2: have a long record of that. 987 01:00:17,280 --> 01:00:19,920 Speaker 1: Yes you do, yes, you do well, you recognize it. 988 01:00:20,480 --> 01:00:23,040 Speaker 1: Paul Glaster is always pleasure. Thank you, sir. Great to 989 01:00:23,080 --> 01:00:23,640 Speaker 1: see it. 990 01:00:23,640 --> 01:00:24,480 Speaker 2: Thanks for having me on. 991 01:00:24,560 --> 01:00:28,760 Speaker 1: Buddy H.