1 00:00:04,080 --> 00:00:07,080 Speaker 1: Hello, They're happy Thursday. Welcome to another episode of the 2 00:00:07,200 --> 00:00:10,400 Speaker 1: Chuck Podcast. A little quick programming note. This is my 3 00:00:10,480 --> 00:00:14,760 Speaker 1: ASSD update for the month of August, and in fact 4 00:00:15,200 --> 00:00:18,000 Speaker 1: we will not be dropping an episode on Monday on 5 00:00:18,079 --> 00:00:21,400 Speaker 1: Labor Day. We will be though, doing Tuesday, so the 6 00:00:21,480 --> 00:00:25,320 Speaker 1: same three updates next week, but instead of Monday, Wednesday Thursday, 7 00:00:26,280 --> 00:00:29,600 Speaker 1: it will be Tuesday Wednesday Thursday. So just a little 8 00:00:30,040 --> 00:00:36,680 Speaker 1: programming note on that front. Obviously, begin tip and Wednesday 9 00:00:36,960 --> 00:00:42,479 Speaker 1: afternoon evening here for Thursday morning. The big news, correctly 10 00:00:42,520 --> 00:00:46,199 Speaker 1: consuming much of the much of the political and news 11 00:00:46,280 --> 00:00:51,400 Speaker 1: world is the mass shooting in Minneapolis at that Catholic school. 12 00:00:54,200 --> 00:00:58,680 Speaker 1: Given what I did for a living doing live television 13 00:00:58,680 --> 00:01:04,080 Speaker 1: and anchor many many A special reports when it came 14 00:01:04,160 --> 00:01:08,360 Speaker 1: to school shootings, sadly, there's a pattern. There's a pattern 15 00:01:08,360 --> 00:01:11,320 Speaker 1: in coverage. There's a pattern, you know, where there's sort 16 00:01:11,319 --> 00:01:14,080 Speaker 1: of there's there's a lot of this that becomes very familiar. 17 00:01:15,360 --> 00:01:21,280 Speaker 1: There is a quick, sort of all consuming moment and 18 00:01:21,319 --> 00:01:24,800 Speaker 1: then as fast as people pay attention is as fast 19 00:01:25,640 --> 00:01:31,200 Speaker 1: as the coverage usually goes away. Uh. There in many 20 00:01:31,240 --> 00:01:35,840 Speaker 1: cases this is fitting a pattern. Young person in their 21 00:01:35,880 --> 00:01:40,440 Speaker 1: twenties shoots up a school that they once attended, a 22 00:01:40,520 --> 00:01:44,160 Speaker 1: manifesto that sort of indicates a lot of mental health challenges, 23 00:01:44,640 --> 00:01:46,319 Speaker 1: and you ask yourself, how did this person get all 24 00:01:46,360 --> 00:01:50,880 Speaker 1: these weapons? And there's good, there's so, there's there's certainly, 25 00:01:52,200 --> 00:01:55,280 Speaker 1: And this is where I hope we can have political 26 00:01:55,400 --> 00:01:59,520 Speaker 1: leaders try to have an uh, what I would call 27 00:01:59,560 --> 00:02:03,280 Speaker 1: an am conversation rather than an or conversation. Too many 28 00:02:03,280 --> 00:02:08,080 Speaker 1: times with these school shootings, I think everybody wants everybody's 29 00:02:08,080 --> 00:02:13,680 Speaker 1: the wrong word. There's sometimes a political instinct too. If 30 00:02:13,720 --> 00:02:16,320 Speaker 1: you believe in an idea, if you believe in gun control, 31 00:02:16,400 --> 00:02:18,000 Speaker 1: or you believe that this is a mental health issue, 32 00:02:18,000 --> 00:02:22,680 Speaker 1: whichever one it is, you find you find a piece 33 00:02:22,960 --> 00:02:30,119 Speaker 1: something in the current investigation that reinforces your belief and 34 00:02:30,200 --> 00:02:33,959 Speaker 1: you sort of dismiss the idea that there are other 35 00:02:34,040 --> 00:02:38,320 Speaker 1: factors that contribute here beyond what your core belief is 36 00:02:38,360 --> 00:02:40,560 Speaker 1: the motivation of these things, whether you believe it's a 37 00:02:40,600 --> 00:02:44,079 Speaker 1: mental health is the primary issue, Access to guns is 38 00:02:44,120 --> 00:02:48,080 Speaker 1: the primary issue, School security is the primary issue. Rhetoric 39 00:02:49,960 --> 00:02:54,399 Speaker 1: rhetoric online being the issue right there, And my encouragement 40 00:02:54,400 --> 00:02:55,960 Speaker 1: would be I wish we could get to a place 41 00:02:55,960 --> 00:02:59,200 Speaker 1: where we had some and conversations. Let's look at the 42 00:02:59,240 --> 00:03:03,440 Speaker 1: access to weapons and the conversation and the rhetoric that 43 00:03:03,480 --> 00:03:08,320 Speaker 1: takes place on social media, and the divisive and divisiveness 44 00:03:08,320 --> 00:03:11,919 Speaker 1: and hate that's going around, and the issue with protecting 45 00:03:12,000 --> 00:03:16,000 Speaker 1: kids in schools and the issue of mental health for 46 00:03:16,080 --> 00:03:20,040 Speaker 1: young people. I think we all know, unfortunately that we're 47 00:03:20,040 --> 00:03:22,760 Speaker 1: not going to have and the conversations that we'd like 48 00:03:22,840 --> 00:03:28,920 Speaker 1: to have. This particular story has the potential of truly 49 00:03:28,960 --> 00:03:32,800 Speaker 1: becoming very divisive in our culture wars, given that the 50 00:03:32,840 --> 00:03:37,080 Speaker 1: shooter transitioned from being a man to a woman, This 51 00:03:37,160 --> 00:03:45,240 Speaker 1: is already something that many on social media are using 52 00:03:45,280 --> 00:03:47,600 Speaker 1: and want to make certain points. Again, it's an attempt 53 00:03:47,680 --> 00:03:52,440 Speaker 1: to cherry pick something to reinforce a core belief, regardless 54 00:03:52,480 --> 00:03:55,160 Speaker 1: of any of the other factors that may be involved 55 00:03:55,200 --> 00:04:00,960 Speaker 1: in this situation. So this is one of those times 56 00:04:01,000 --> 00:04:05,800 Speaker 1: where you're just where I get hopeful that the political 57 00:04:05,800 --> 00:04:10,960 Speaker 1: community will be mature and sort of rise above partisanship, 58 00:04:11,120 --> 00:04:14,040 Speaker 1: rise above the ability to exploit something for a cheap 59 00:04:14,080 --> 00:04:20,840 Speaker 1: political gain. And yet what world am I living in? Right? 60 00:04:21,760 --> 00:04:24,840 Speaker 1: I think we know that this has every chance of 61 00:04:24,880 --> 00:04:29,960 Speaker 1: being politicized in all the wrong ways. I hope I'm wrong. 62 00:04:32,080 --> 00:04:35,960 Speaker 1: I hope that the online conversation is the outlier and 63 00:04:36,000 --> 00:04:41,080 Speaker 1: that the in person conversations that the focus is in 64 00:04:41,120 --> 00:04:46,479 Speaker 1: the right direction here. Unlikely. I'm aware of the world 65 00:04:46,560 --> 00:04:51,760 Speaker 1: we live in, but it is this is something where 66 00:04:51,960 --> 00:04:55,880 Speaker 1: I wish we could have this and conversation because you 67 00:04:56,000 --> 00:04:59,039 Speaker 1: have rabid people who don't even want to touch the 68 00:04:59,120 --> 00:05:04,320 Speaker 1: access to guns issue, and you have others that don't 69 00:05:04,320 --> 00:05:19,360 Speaker 1: want to have certain conversations about rhetoric online, about about identity, 70 00:05:19,440 --> 00:05:23,120 Speaker 1: and so this is going to be one of those 71 00:05:23,160 --> 00:05:26,799 Speaker 1: moments where you need a really good leader, and perhaps 72 00:05:26,880 --> 00:05:29,400 Speaker 1: in a tough moment, we don't have the leadership in 73 00:05:29,400 --> 00:05:33,400 Speaker 1: this country to rise to the occasion that's necessary. But 74 00:05:33,480 --> 00:05:42,440 Speaker 1: hope Spring's eternal, and perhaps and perhaps cooler heads and 75 00:05:42,680 --> 00:05:48,440 Speaker 1: more empathetic heads are going to prevail here. But we 76 00:05:48,480 --> 00:05:57,840 Speaker 1: shall see. We are at a moment for what it's worth. Right, 77 00:05:57,880 --> 00:06:00,760 Speaker 1: We're going to have some federal agencies. We've already had 78 00:06:00,960 --> 00:06:04,880 Speaker 1: the FBI director pretty high profile talk about that he 79 00:06:04,920 --> 00:06:08,640 Speaker 1: wants to make that they're investigating this as a hate 80 00:06:08,640 --> 00:06:14,080 Speaker 1: crime against Catholics, and they're looking at this as domestic terrorism. 81 00:06:14,880 --> 00:06:19,760 Speaker 1: I've heard from some folks fearing that the calling it 82 00:06:19,839 --> 00:06:25,000 Speaker 1: domestic terrorism will then single out certain groups of people. 83 00:06:26,720 --> 00:06:31,080 Speaker 1: I am. I am hopeful that does not happen, but 84 00:06:31,560 --> 00:06:35,440 Speaker 1: it does serve as a reminder of the importance of 85 00:06:35,440 --> 00:06:41,920 Speaker 1: whether you trust law enforcement or not. And there's actually 86 00:06:41,920 --> 00:06:45,320 Speaker 1: some new polling data indicating just how polarized we are 87 00:06:45,839 --> 00:06:50,800 Speaker 1: in our trust or distrust of law enforcement agencies right 88 00:06:50,839 --> 00:06:54,560 Speaker 1: now that it is completely based on what your political 89 00:06:54,560 --> 00:06:57,239 Speaker 1: party is when it comes to your views of ICE, 90 00:06:57,640 --> 00:06:59,800 Speaker 1: your views of the Department of Homeland Security, your views 91 00:06:59,800 --> 00:07:02,720 Speaker 1: of the Department of Justice, your views of the FBI. 92 00:07:04,480 --> 00:07:07,520 Speaker 1: Just to give you a taste of this conversation on 93 00:07:07,600 --> 00:07:12,800 Speaker 1: the Department of Justice. From the big picture standpoint, the 94 00:07:12,880 --> 00:07:15,960 Speaker 1: numbers haven't changed all that much. Right last year overall, 95 00:07:16,880 --> 00:07:18,800 Speaker 1: the Department of Justice in this Pew survey had a 96 00:07:18,840 --> 00:07:24,560 Speaker 1: forty three favorable rating versus a forty four percent unfavorable rating. Okay, 97 00:07:26,440 --> 00:07:29,120 Speaker 1: this year right now, it's thirty nine percent favorable forty 98 00:07:29,160 --> 00:07:32,240 Speaker 1: six percent unfavorable. But boy, when you go inside the numbers, 99 00:07:33,080 --> 00:07:37,400 Speaker 1: you start to see the politic how politicized the views 100 00:07:37,440 --> 00:07:42,000 Speaker 1: of these agencies are. Majority of Republicans now rate the 101 00:07:42,040 --> 00:07:46,240 Speaker 1: Department of Justice favorably. It's up eighteen points from Republican 102 00:07:46,320 --> 00:07:49,160 Speaker 1: views of the Department of Justice last year. And guess 103 00:07:49,240 --> 00:07:52,160 Speaker 1: what the trend is the opposite among Democrats. Just twenty 104 00:07:52,200 --> 00:07:55,720 Speaker 1: eight percent of Democrats view the Justice Department favorably, and 105 00:07:55,760 --> 00:07:59,680 Speaker 1: that's down twenty seven points from last year. You can 106 00:07:59,720 --> 00:08:04,680 Speaker 1: see similar polarized movements when it comes to the favorable 107 00:08:04,760 --> 00:08:08,400 Speaker 1: or unfavorable ratings of the Department of Homeland Security. You 108 00:08:08,440 --> 00:08:10,880 Speaker 1: have sixty eight percent of Republicans viewing it favorably, just 109 00:08:10,920 --> 00:08:14,679 Speaker 1: twenty six percent of Democrats view it favorably. Last year, 110 00:08:14,960 --> 00:08:18,520 Speaker 1: Democrats were more likely than Republicans to rate DHS favorably. 111 00:08:19,200 --> 00:08:23,640 Speaker 1: Partisan gap on ICE is wider there than under any 112 00:08:23,880 --> 00:08:27,600 Speaker 1: other group that was tested by Pew. Seventy two percent 113 00:08:27,600 --> 00:08:31,360 Speaker 1: of Republicans favorable, have a favorable view towards ICE seventy 114 00:08:31,440 --> 00:08:37,800 Speaker 1: two percent, twenty one percent unfavorable. In contrast, Democrats, literally 115 00:08:37,840 --> 00:08:40,840 Speaker 1: it's a mirror image, just thirteen percent of a favorable 116 00:08:40,880 --> 00:08:46,760 Speaker 1: rating of ICE, seventy eight percent unfavorable on that front, 117 00:08:47,800 --> 00:08:50,720 Speaker 1: and obviously on the FBI itself, just to give you 118 00:08:51,160 --> 00:08:54,280 Speaker 1: a sense of that, on the FBI, you still you 119 00:08:54,320 --> 00:08:57,000 Speaker 1: have a fifty four percent of Republicans have a favorable 120 00:08:57,080 --> 00:09:00,520 Speaker 1: rating of the FBI, and right now a ray of 121 00:09:00,520 --> 00:09:03,240 Speaker 1: Democrats have a favorable rating of the FBI forty five percent. 122 00:09:03,240 --> 00:09:09,800 Speaker 1: It shows you that it hasn't totally trickled down just yet. There, 123 00:09:10,040 --> 00:09:13,880 Speaker 1: For what it's worth, there actually are places where both 124 00:09:14,120 --> 00:09:17,080 Speaker 1: where there isn't a polarized view of certain federal agencies. 125 00:09:18,080 --> 00:09:23,720 Speaker 1: The National Park Service basically seventy percent of Republicans and 126 00:09:23,840 --> 00:09:26,480 Speaker 1: Democrats have a favorable view of the National Park Service. 127 00:09:27,120 --> 00:09:30,040 Speaker 1: Let's see how the dosee cuts impact that over time. 128 00:09:30,840 --> 00:09:33,640 Speaker 1: The National Weather Service has a fairly high favorable rating 129 00:09:33,679 --> 00:09:38,320 Speaker 1: sixty one percent of Republicans, seventy three percent of Democrats. Oddly, 130 00:09:39,080 --> 00:09:43,160 Speaker 1: NASA is a bit more polarized, believe it or not. 131 00:09:43,679 --> 00:09:47,080 Speaker 1: While it has a net favorable rating, more Democrats have 132 00:09:47,160 --> 00:09:51,280 Speaker 1: a higher favorable rating of NASA than Republicans. And the 133 00:09:51,320 --> 00:09:54,360 Speaker 1: Social Security Administration is a huge partisan divide, with more 134 00:09:54,400 --> 00:10:01,560 Speaker 1: Republicans having a positive view of it versus versus Democrats. 135 00:10:01,559 --> 00:10:04,480 Speaker 1: But the point is, we are living in a time 136 00:10:04,600 --> 00:10:08,480 Speaker 1: where I think most Americans, and I think correctly now 137 00:10:08,600 --> 00:10:16,320 Speaker 1: view the at least the federal law enforcement agencies through 138 00:10:16,840 --> 00:10:22,280 Speaker 1: very partisan eyes. Because they are being run by very 139 00:10:22,320 --> 00:10:27,680 Speaker 1: partisan actors who are not trying to hide their partisanship. Right, 140 00:10:27,960 --> 00:10:32,040 Speaker 1: Pambody is a Republican operative in the role of Attorney General, 141 00:10:32,120 --> 00:10:35,480 Speaker 1: Cash Bettel a Republican operative in the role of FBI director. 142 00:10:37,080 --> 00:10:41,080 Speaker 1: That's not healthy for our society. This is why there 143 00:10:41,280 --> 00:10:44,760 Speaker 1: is a real debate here if the more the president 144 00:10:44,840 --> 00:10:50,160 Speaker 1: wants to concentrate power through him in the executive branch 145 00:10:50,200 --> 00:10:55,080 Speaker 1: and control these agencies that multiple presidents left and right 146 00:10:55,200 --> 00:11:00,000 Speaker 1: believe they had to create some distance from in order 147 00:11:00,160 --> 00:11:03,760 Speaker 1: to keep credibility with these agencies, whether it is the FBI, 148 00:11:04,160 --> 00:11:07,640 Speaker 1: whether it is the Department of Justice, whether it is 149 00:11:07,800 --> 00:11:11,920 Speaker 1: the Federal Reserve. And when you concentrate all this in 150 00:11:12,000 --> 00:11:17,600 Speaker 1: moments like we're dealing with where we need where a 151 00:11:17,720 --> 00:11:21,760 Speaker 1: very political response is the last thing the situation needs, 152 00:11:23,160 --> 00:11:28,640 Speaker 1: you're going to have extraordinarily partisan actors whose first instinct 153 00:11:28,760 --> 00:11:35,640 Speaker 1: is to exploit for partisan gain, and it is only 154 00:11:35,720 --> 00:11:40,800 Speaker 1: going to erode the credibility of these agencies. Right now, 155 00:11:41,000 --> 00:11:49,760 Speaker 1: I gave you the partisan leanings here. Essentially, independence are 156 00:11:49,840 --> 00:11:54,240 Speaker 1: essentially moving there. In these cases, the Independence look slightly 157 00:11:54,280 --> 00:11:57,680 Speaker 1: more left than right as far as their ratings are concerned, 158 00:11:57,679 --> 00:12:00,400 Speaker 1: and I think independence just look at it a little 159 00:12:00,440 --> 00:12:03,400 Speaker 1: more straightforward, not necessarily through a partisan lens, but through 160 00:12:04,080 --> 00:12:09,480 Speaker 1: a reality lens. And the reality is the right believes 161 00:12:09,480 --> 00:12:13,160 Speaker 1: the left politicize these agencies, the left believes the rights 162 00:12:13,160 --> 00:12:17,000 Speaker 1: politicizing these agencies. If both sides are saying these agencies 163 00:12:17,040 --> 00:12:19,000 Speaker 1: have been politicized over the last two years, I promise 164 00:12:19,040 --> 00:12:21,440 Speaker 1: you independents are going to view that the agencies are 165 00:12:21,480 --> 00:12:24,520 Speaker 1: always being politicized, and they're going to line up essentially 166 00:12:24,559 --> 00:12:29,800 Speaker 1: against the political party and power in that one. And 167 00:12:29,880 --> 00:12:33,360 Speaker 1: I think that's the situation that we're going to see 168 00:12:33,400 --> 00:12:38,520 Speaker 1: here and let's see, let's see how political this investigation 169 00:12:38,640 --> 00:12:42,840 Speaker 1: itself gets. But this is we are dealing with a 170 00:12:43,120 --> 00:12:47,640 Speaker 1: very with a very skeptical public in general right now, 171 00:12:48,600 --> 00:12:53,560 Speaker 1: where everybody is looking at sees everything through a very 172 00:12:53,559 --> 00:12:56,880 Speaker 1: partisan lens, and in many cases that's exactly the way 173 00:12:56,920 --> 00:12:59,439 Speaker 1: Donald Trump. This is a feature of the Trump administration. 174 00:13:00,240 --> 00:13:07,840 Speaker 1: They don't view They're okay, if it's seen positively only 175 00:13:07,880 --> 00:13:12,559 Speaker 1: by their voters, that is an acceptable outcome, and that's 176 00:13:13,120 --> 00:13:16,640 Speaker 1: that's I think the ultimate problem with the current situation 177 00:13:16,720 --> 00:13:19,319 Speaker 1: we're living in is that this is the first administration 178 00:13:19,400 --> 00:13:24,160 Speaker 1: that didn't care whether people that didn't vote for them 179 00:13:24,480 --> 00:13:28,160 Speaker 1: respected their ability to govern one and two whether they 180 00:13:28,160 --> 00:13:31,840 Speaker 1: ought to govern for people that didn't vote for them. 181 00:13:31,880 --> 00:13:37,480 Speaker 1: And I think this is this is unfortunately a time 182 00:13:37,520 --> 00:13:40,800 Speaker 1: where you need max trust in your law enforcement agencies, 183 00:13:43,120 --> 00:13:45,160 Speaker 1: and we are at a time where we probably are 184 00:13:45,200 --> 00:13:48,400 Speaker 1: as low as it's been probably since the nineteen seventies, 185 00:13:50,200 --> 00:13:54,160 Speaker 1: certainly has polarized on these agencies. We didn't have the 186 00:13:54,200 --> 00:13:57,400 Speaker 1: same amount of polling that we do today, and how 187 00:13:57,400 --> 00:14:03,360 Speaker 1: often would we do it. But it is nonetheless a 188 00:14:05,160 --> 00:14:06,840 Speaker 1: we're in a period of low trust. We know this 189 00:14:07,559 --> 00:14:13,800 Speaker 1: across the board, and so it is like, again, you 190 00:14:13,960 --> 00:14:18,920 Speaker 1: hope that the moment is heavy enough that even the 191 00:14:18,960 --> 00:14:22,080 Speaker 1: most partisan actor realizes this is not the time for partisanship. 192 00:14:24,560 --> 00:14:32,120 Speaker 1: But if passed his prologue, it's unlikely that your hope 193 00:14:32,560 --> 00:14:46,160 Speaker 1: is going to turn into reality. Let's get into some 194 00:14:46,200 --> 00:14:51,960 Speaker 1: asshat ask Chuck. First question comes from Jeff, and it's 195 00:14:52,000 --> 00:14:55,760 Speaker 1: a perfectly timed sports and politics question. He says, Hey, Chuck, 196 00:14:55,840 --> 00:14:57,920 Speaker 1: Jeff from Pittsburgh. Here. I just dropped off my oldest 197 00:14:57,920 --> 00:15:00,600 Speaker 1: son off for his first year at university. He has 198 00:15:00,640 --> 00:15:03,480 Speaker 1: a great interest in journalism, particularly sports and politics. Hey, 199 00:15:03,640 --> 00:15:05,880 Speaker 1: that's familiar to me, But my fear as a parent 200 00:15:05,960 --> 00:15:08,520 Speaker 1: is naturally the dying legacy of legacy outlets. I've heard 201 00:15:08,560 --> 00:15:10,480 Speaker 1: you mentioned in passing on the podcast about how local 202 00:15:10,480 --> 00:15:13,360 Speaker 1: sports coverage may have the potential to transform, support other 203 00:15:13,400 --> 00:15:16,360 Speaker 1: local coverage, or remake the media landscape. Can you elaborate 204 00:15:16,400 --> 00:15:21,600 Speaker 1: on this? Yes, Look, I've been examining the local news 205 00:15:21,680 --> 00:15:27,880 Speaker 1: landscape for quite some time through a variety of potential 206 00:15:27,880 --> 00:15:30,960 Speaker 1: business proposals. For one, I'm going to keep some of 207 00:15:31,000 --> 00:15:34,480 Speaker 1: it a bit cryptic on that, but here's the basic premise. 208 00:15:35,320 --> 00:15:39,040 Speaker 1: You know, local news they had two main revenue streams 209 00:15:39,520 --> 00:15:43,920 Speaker 1: for a long time, right advertised, well, three main revenue streams, advertising, 210 00:15:44,400 --> 00:15:48,720 Speaker 1: subscriptions and classified. And it was really classified that were 211 00:15:48,760 --> 00:15:52,080 Speaker 1: the sort of the reliable revenue generator. ADS. ADS would 212 00:15:52,080 --> 00:15:55,880 Speaker 1: go up and down, if you will, and even like subscriptions, 213 00:15:56,360 --> 00:15:59,920 Speaker 1: you know, yes that mattered, but in some cases it 214 00:16:00,200 --> 00:16:02,520 Speaker 1: wasn't you know, you know, they were just dying to 215 00:16:02,520 --> 00:16:03,880 Speaker 1: make sure you got the pay. You know, it was 216 00:16:03,960 --> 00:16:07,240 Speaker 1: more important for them to have higher circulation numbers to 217 00:16:07,360 --> 00:16:11,720 Speaker 1: sell to advertisers than it was necessarily to get direct 218 00:16:12,040 --> 00:16:18,840 Speaker 1: subscription income revenue from each household. So that's why I've 219 00:16:18,840 --> 00:16:22,080 Speaker 1: always looked at it more as two primary primary resources there. 220 00:16:23,240 --> 00:16:25,600 Speaker 1: And you know, as i've you may have heard me 221 00:16:25,640 --> 00:16:27,840 Speaker 1: say this on this podcast, I say it wherever I go. 222 00:16:27,920 --> 00:16:31,440 Speaker 1: I said, a man named Craig decided classified zuta be free. YadA, 223 00:16:31,520 --> 00:16:35,880 Speaker 1: YadA YadA, Donald Trump became president. Because what happened is, 224 00:16:35,960 --> 00:16:39,520 Speaker 1: I do think when we knocked out local and classified, 225 00:16:39,560 --> 00:16:42,720 Speaker 1: when when you got rid of classified revenue for basically 226 00:16:42,760 --> 00:16:45,560 Speaker 1: any news newspaper that had a circulation of fifty thousand 227 00:16:45,600 --> 00:16:48,560 Speaker 1: or less, that was sixty to seventy percent of their revenue. 228 00:16:49,480 --> 00:16:52,200 Speaker 1: So look, let me speed through this part, which is 229 00:16:53,440 --> 00:16:56,160 Speaker 1: I don't think nonprofit is a way to is a 230 00:16:56,240 --> 00:16:59,120 Speaker 1: long term solution to the local news crisis that we 231 00:16:59,120 --> 00:17:03,200 Speaker 1: have in America. Uh So, I think that you got 232 00:17:03,240 --> 00:17:06,480 Speaker 1: to find a revenue stream. And I actually think the 233 00:17:06,640 --> 00:17:09,600 Speaker 1: fact that for all the reasons I just talked about 234 00:17:09,600 --> 00:17:12,080 Speaker 1: in this episode about how much money is coming into college, 235 00:17:13,240 --> 00:17:15,640 Speaker 1: how much money is being poured into high school sports 236 00:17:15,680 --> 00:17:18,399 Speaker 1: to prepare to get your opportunity in college now and 237 00:17:18,440 --> 00:17:21,400 Speaker 1: this is no longer just about basketball and football. This 238 00:17:21,480 --> 00:17:26,600 Speaker 1: is across the board, right beach volleyball, lacrosse, both men's 239 00:17:26,600 --> 00:17:31,200 Speaker 1: and women's soccer, both men's and women's women's softball, even 240 00:17:31,240 --> 00:17:34,440 Speaker 1: men's baseball in some places is a net positive revenue 241 00:17:34,440 --> 00:17:39,920 Speaker 1: sport and what that's going to do even as we're 242 00:17:39,960 --> 00:17:43,560 Speaker 1: at this weird demographic cliff where we were actually stagnant 243 00:17:43,640 --> 00:17:49,400 Speaker 1: when it comes to to growth of the under seventeen generation, 244 00:17:49,560 --> 00:17:51,679 Speaker 1: Like you know, universities have been talking about this that 245 00:17:51,760 --> 00:17:56,840 Speaker 1: this was the beginning of this demographic cliff where we 246 00:17:57,520 --> 00:17:59,520 Speaker 1: you know, and then you throw in that we're a 247 00:17:59,560 --> 00:18:02,840 Speaker 1: little more restrictive on immigration, so are we are? We 248 00:18:02,880 --> 00:18:05,960 Speaker 1: are getting older as a country, not younger. But when 249 00:18:05,960 --> 00:18:10,359 Speaker 1: it comes to youth sports, it's primarily been pretty boy heavy, 250 00:18:10,400 --> 00:18:12,840 Speaker 1: and I think now with the amount of opportunity in 251 00:18:13,160 --> 00:18:17,160 Speaker 1: women's sports, you're going to see gender parity among youth sports. 252 00:18:18,040 --> 00:18:20,480 Speaker 1: So it is going it is a huge growth area 253 00:18:21,080 --> 00:18:22,959 Speaker 1: and there is just a ton of money. And I 254 00:18:23,000 --> 00:18:25,840 Speaker 1: think if a way you're trying to build a local 255 00:18:25,880 --> 00:18:30,959 Speaker 1: news organization, and I've I've there are some good examples 256 00:18:30,960 --> 00:18:33,720 Speaker 1: that I've come across in my research of the local 257 00:18:33,760 --> 00:18:39,840 Speaker 1: news ecosystem that local sports is a pretty good uh 258 00:18:40,000 --> 00:18:43,320 Speaker 1: magnet to get readers to get people interested in what 259 00:18:43,359 --> 00:18:47,280 Speaker 1: you're doing. And if you can become in the same way, right, 260 00:18:47,320 --> 00:18:50,359 Speaker 1: then my friends at NBC through a bunch of money 261 00:18:50,359 --> 00:18:53,119 Speaker 1: to get the NBA because in there and you know, 262 00:18:53,200 --> 00:18:55,639 Speaker 1: live sports during the week is sort of one of 263 00:18:55,680 --> 00:18:58,919 Speaker 1: these last ways you can get people to turn on 264 00:18:59,000 --> 00:19:01,439 Speaker 1: a legacy TV each It's the same thing in local 265 00:19:02,320 --> 00:19:05,440 Speaker 1: if you can become the hub and I believe if 266 00:19:05,440 --> 00:19:08,719 Speaker 1: you can become the local hub of how the community 267 00:19:08,880 --> 00:19:14,080 Speaker 1: watches the local high school football game or watches the 268 00:19:14,160 --> 00:19:17,040 Speaker 1: twelve you travel teams in your community play each other, 269 00:19:18,200 --> 00:19:20,520 Speaker 1: and maybe you put that behind a paywall, but you 270 00:19:20,640 --> 00:19:24,840 Speaker 1: also are creating a friendly or advertising environment. Small businesses 271 00:19:24,960 --> 00:19:29,000 Speaker 1: love being associated with youth sports. Right. It's not polarizing 272 00:19:29,720 --> 00:19:33,159 Speaker 1: as a as somebody who cares about trying to glue 273 00:19:33,280 --> 00:19:36,680 Speaker 1: communities back together between red and blue. I think sports 274 00:19:36,760 --> 00:19:39,040 Speaker 1: is one of the safe zones that you can do 275 00:19:39,119 --> 00:19:42,000 Speaker 1: that with. You can if you start with sports, you 276 00:19:42,040 --> 00:19:45,280 Speaker 1: build your trust that way, and then over time you 277 00:19:45,320 --> 00:19:47,520 Speaker 1: can build trust with them and then eventually they will 278 00:19:47,520 --> 00:19:49,040 Speaker 1: believe you when you say and oh, by the way, 279 00:19:49,080 --> 00:19:50,919 Speaker 1: we're also doing this reporting over here to tell you 280 00:19:50,920 --> 00:19:55,600 Speaker 1: that your city councilman's corrupt. So that's the that's that's 281 00:19:55,720 --> 00:20:02,880 Speaker 1: my that's my thesis, and it's one I've put together 282 00:20:02,920 --> 00:20:05,680 Speaker 1: in a business plan and it's one I really believe in. 283 00:20:06,080 --> 00:20:08,439 Speaker 1: I know this the youth sports world is going to 284 00:20:08,480 --> 00:20:13,879 Speaker 1: be is growing, and it's growing extraordinarily fast, and it's 285 00:20:13,920 --> 00:20:16,240 Speaker 1: only going to get bigger, and there's a whole bunch 286 00:20:16,240 --> 00:20:19,439 Speaker 1: of people wanting to invest money in it. There's not 287 00:20:19,480 --> 00:20:21,600 Speaker 1: as many people that want to invest money in local news. 288 00:20:21,640 --> 00:20:24,199 Speaker 1: They've sort of almost written it off, thinking, oh, it 289 00:20:24,200 --> 00:20:26,720 Speaker 1: should be just a project of nonprofit. Well, I'm not 290 00:20:26,760 --> 00:20:29,360 Speaker 1: ready to write it off, and I'm like, can we 291 00:20:29,400 --> 00:20:33,560 Speaker 1: marry these two entities if you will right? Ultimately, you 292 00:20:33,680 --> 00:20:38,280 Speaker 1: need a local publisher to let you know that the 293 00:20:38,560 --> 00:20:42,360 Speaker 1: youth sports tree fell in the forest and here's the scores, 294 00:20:42,400 --> 00:20:45,600 Speaker 1: and somebody's got to deal with the infrastructure to make 295 00:20:45,600 --> 00:20:48,520 Speaker 1: sure the stream lives somewhere and you can have a 296 00:20:48,520 --> 00:20:51,960 Speaker 1: place to see the highlights, etc. So I just think 297 00:20:51,960 --> 00:20:55,000 Speaker 1: that this is one of these things where it's when, 298 00:20:55,280 --> 00:20:58,480 Speaker 1: if you will right, we can rebuild a more trusted 299 00:20:58,520 --> 00:21:03,600 Speaker 1: local ecosystem and oh, by the way, we're providing a 300 00:21:03,640 --> 00:21:07,679 Speaker 1: service to the community. That it really wants. Trust me, 301 00:21:07,720 --> 00:21:10,159 Speaker 1: as a parent of two kids that were pretty active 302 00:21:10,160 --> 00:21:13,480 Speaker 1: in the youth sports space, five or six different apps 303 00:21:13,640 --> 00:21:16,200 Speaker 1: you'd run late you didn't want to miss an app bat, 304 00:21:16,800 --> 00:21:20,840 Speaker 1: you know, towards the end of their youth sports careers. 305 00:21:21,080 --> 00:21:23,560 Speaker 1: There'd be the occasional parent that says, hey, I've created 306 00:21:23,600 --> 00:21:26,679 Speaker 1: a live stream, go to this what was it Vimeo? 307 00:21:27,000 --> 00:21:28,960 Speaker 1: I think is the Mayo. I don't know if I've 308 00:21:29,000 --> 00:21:32,800 Speaker 1: said it right, and you could kind of watch it 309 00:21:32,880 --> 00:21:35,879 Speaker 1: and all this stuff. So I do think this is 310 00:21:35,920 --> 00:21:38,399 Speaker 1: actually and it goes back to what I believe a 311 00:21:38,480 --> 00:21:42,359 Speaker 1: successful local news publication has to be, which is a 312 00:21:42,400 --> 00:21:47,240 Speaker 1: service journalism, meaning you really are in service to the community. 313 00:21:47,280 --> 00:21:49,399 Speaker 1: You're helping people in the community live their lives. So 314 00:21:49,800 --> 00:21:52,440 Speaker 1: one part of that is making it easier for them 315 00:21:52,480 --> 00:21:55,080 Speaker 1: to keep up with the youth sports scene. But another 316 00:21:55,200 --> 00:21:57,760 Speaker 1: might be you hire an influencer who's just there to 317 00:21:57,800 --> 00:22:01,439 Speaker 1: help you save money on food. They keep track of, 318 00:22:01,640 --> 00:22:03,560 Speaker 1: you know, the price of chicken on everywhere, the price 319 00:22:03,600 --> 00:22:06,600 Speaker 1: of eggs, and what restaurant makes it easier to take 320 00:22:06,760 --> 00:22:10,560 Speaker 1: two small children to go out and not break the bank, 321 00:22:10,640 --> 00:22:14,600 Speaker 1: et cetera. Right, you essentially recreate the old As I say, 322 00:22:14,800 --> 00:22:17,920 Speaker 1: you're recreating what everybody loved about the newspaper bundle. Right. 323 00:22:18,080 --> 00:22:20,360 Speaker 1: I've always said this about the old newspaper. We all 324 00:22:20,400 --> 00:22:22,680 Speaker 1: got it, but only ten percent of it cared about 325 00:22:22,680 --> 00:22:26,160 Speaker 1: the news part. The other ninety percent had something else 326 00:22:26,160 --> 00:22:28,960 Speaker 1: we had in there. It was just a terrific bundle. Well, 327 00:22:29,119 --> 00:22:31,480 Speaker 1: you start to unpack that bundle and say, what is 328 00:22:31,520 --> 00:22:33,560 Speaker 1: it that helped you know? So you need to find 329 00:22:33,560 --> 00:22:35,199 Speaker 1: out what's going on in your community. You need to 330 00:22:35,240 --> 00:22:37,119 Speaker 1: find out how to save money in your community. You 331 00:22:37,119 --> 00:22:39,840 Speaker 1: need to find out what's the weather in my area 332 00:22:39,960 --> 00:22:41,919 Speaker 1: going to be, not just on the other side of 333 00:22:41,920 --> 00:22:45,960 Speaker 1: the county. Well, my goodness, weather forecasting has never been more. 334 00:22:46,359 --> 00:22:49,200 Speaker 1: The only good local news the Washington Post does anymore 335 00:22:49,359 --> 00:22:51,879 Speaker 1: is its weather in Capital Weather Gang. Because of the 336 00:22:51,920 --> 00:22:55,840 Speaker 1: ability to micro forecast, they literally can have pretty accurate 337 00:22:55,840 --> 00:23:01,000 Speaker 1: forecasts of my neighborhood and the neighborhoo next door and 338 00:23:01,080 --> 00:23:05,520 Speaker 1: be correct it is it is, and so every community. 339 00:23:05,560 --> 00:23:08,280 Speaker 1: If I were running a local news operation, whether it's 340 00:23:08,280 --> 00:23:13,040 Speaker 1: in Pittsburgh, Kansas or Pittsburgh, Pennsylvania, I'd be hiring a 341 00:23:13,080 --> 00:23:17,119 Speaker 1: local meteorologist. By the way, my daughter's minoring and meteorology, 342 00:23:18,320 --> 00:23:20,840 Speaker 1: so she needs a job too. And one other thing 343 00:23:21,119 --> 00:23:28,600 Speaker 1: to sort of alleviate you your concern about about journalism 344 00:23:28,600 --> 00:23:31,600 Speaker 1: as a career for your for your for your son. 345 00:23:33,520 --> 00:23:38,000 Speaker 1: When I entered the information ecosystem, space journalism, whatever we 346 00:23:38,040 --> 00:23:40,479 Speaker 1: want to call it anymore, in the early nineties, it 347 00:23:40,520 --> 00:23:44,320 Speaker 1: was at a time of media contraction. But there was 348 00:23:44,359 --> 00:23:47,800 Speaker 1: a whole bunch of startups, and I got a whole 349 00:23:47,840 --> 00:23:51,760 Speaker 1: bunch of early experience and startups where the old legacy 350 00:23:51,800 --> 00:23:55,439 Speaker 1: reporters didn't want to bother understanding what the internet was. 351 00:23:55,680 --> 00:23:59,560 Speaker 1: And at twenty three, because I was comfortable on the internet, 352 00:23:59,720 --> 00:24:02,480 Speaker 1: you know, I you know, had an early political column. 353 00:24:02,480 --> 00:24:04,600 Speaker 1: I was doing analysis on the days, all because the 354 00:24:04,640 --> 00:24:07,520 Speaker 1: old legacy reporters didn't want to do it. So what 355 00:24:07,520 --> 00:24:10,919 Speaker 1: I would say is that if there's ever an exciting 356 00:24:11,000 --> 00:24:14,320 Speaker 1: time to be in in the world of journalism, it's 357 00:24:14,320 --> 00:24:16,840 Speaker 1: when you're in your twenties, not when you're like me 358 00:24:16,880 --> 00:24:19,560 Speaker 1: in your fifties. And here's one other way to give 359 00:24:19,600 --> 00:24:21,720 Speaker 1: you some to give you a little bit more comfort 360 00:24:22,119 --> 00:24:25,040 Speaker 1: that this isn't a wasted degree for your for your son, 361 00:24:25,920 --> 00:24:29,719 Speaker 1: more and more Fortune five hundred. There is now this 362 00:24:29,800 --> 00:24:32,200 Speaker 1: belief in the in the in the corporate world that 363 00:24:33,359 --> 00:24:36,240 Speaker 1: you've got to run your own communications. This isn't just 364 00:24:36,320 --> 00:24:39,119 Speaker 1: about finding a media outlet that will be friendly to 365 00:24:39,200 --> 00:24:41,440 Speaker 1: you when you roll out your new logo or your 366 00:24:41,480 --> 00:24:45,399 Speaker 1: new this. You've got to create your own content. And 367 00:24:45,560 --> 00:24:48,080 Speaker 1: more and more Fortune five hundred companies want to be 368 00:24:48,119 --> 00:24:52,920 Speaker 1: their own publishers. They're setting up comm shops that look 369 00:24:53,000 --> 00:24:59,000 Speaker 1: more like newsrooms than they are just marketing material, and 370 00:24:59,200 --> 00:25:01,480 Speaker 1: so there is a actually a demand. There's quite a 371 00:25:01,520 --> 00:25:04,240 Speaker 1: few of my former colleagues are going into the corporate 372 00:25:04,280 --> 00:25:10,760 Speaker 1: world to essentially set up be a news newsletter publisher, 373 00:25:11,040 --> 00:25:14,639 Speaker 1: or be a content creator for their TikTok page, or 374 00:25:14,680 --> 00:25:20,119 Speaker 1: to set up podcasts, you know, maybe a weekly podcast 375 00:25:20,160 --> 00:25:22,000 Speaker 1: that the CEO is a part of, or that they 376 00:25:22,040 --> 00:25:27,280 Speaker 1: do for communication. So I think that the while the 377 00:25:27,400 --> 00:25:30,000 Speaker 1: narrow when you look at the world of journalism through 378 00:25:30,000 --> 00:25:32,280 Speaker 1: the narrow lens of sort of what we thought of 379 00:25:32,280 --> 00:25:36,040 Speaker 1: as journalism twenty years ago, it looks like a shrinking field. 380 00:25:36,080 --> 00:25:40,240 Speaker 1: When you look at it through the prism of communications 381 00:25:40,920 --> 00:25:45,320 Speaker 1: and managing media, well, then suddenly the same skills are 382 00:25:45,359 --> 00:25:49,399 Speaker 1: necessary and many more entities want to hire people with 383 00:25:49,480 --> 00:25:54,400 Speaker 1: this skill set. So I think it's a I think 384 00:25:54,440 --> 00:25:58,719 Speaker 1: there's more opportunity than you realize. So I, you know, 385 00:25:58,960 --> 00:26:01,280 Speaker 1: I want to make you feel better Jeff that this 386 00:26:01,359 --> 00:26:05,359 Speaker 1: is I get it. But if you sort of sort 387 00:26:05,359 --> 00:26:10,399 Speaker 1: of what is it? Widen your aperture here of what is? 388 00:26:10,760 --> 00:26:15,800 Speaker 1: You know, the traditional jobs are gone, but there are 389 00:26:16,119 --> 00:26:20,080 Speaker 1: suddenly a lot of other opportunities that also exist where 390 00:26:20,119 --> 00:26:23,800 Speaker 1: getting this journalism degree is going to be an asset 391 00:26:24,240 --> 00:26:29,920 Speaker 1: not a liability, I promise. Okay. Next question comes from Bobs. 392 00:26:30,160 --> 00:26:32,879 Speaker 1: A lot of smack talk here on football. Looks like 393 00:26:33,119 --> 00:26:34,840 Speaker 1: I've been a long time listening to your podcast, always 394 00:26:34,880 --> 00:26:36,840 Speaker 1: enjoyed your work on me the Press. I'm listening in 395 00:26:36,880 --> 00:26:38,720 Speaker 1: listening to your most recent podcast has struck me that 396 00:26:38,720 --> 00:26:41,119 Speaker 1: two of your favorite sport teams sports teams happen to 397 00:26:41,160 --> 00:26:42,879 Speaker 1: be playing two of my favorite sports teams in their 398 00:26:42,920 --> 00:26:45,440 Speaker 1: opening games. That said, let me make these predictions. Notre 399 00:26:45,480 --> 00:26:49,040 Speaker 1: Dame beats Miami in a close game. Detroit's Bank screen Bay. Thanks. 400 00:26:49,280 --> 00:26:51,159 Speaker 1: Should these results come to fruition, I just hope it 401 00:26:51,160 --> 00:26:53,639 Speaker 1: will not impact your excellent commentary in the ensuing days, 402 00:26:53,760 --> 00:26:56,280 Speaker 1: nor teint the remainder of their respective schedules. Except for 403 00:26:56,320 --> 00:26:59,240 Speaker 1: Green Bay second less to Detroit on Thanksgiving, compounding any 404 00:26:59,480 --> 00:27:02,360 Speaker 1: gastro and testinal issues for Green Bay fans that day. Hey, 405 00:27:02,400 --> 00:27:04,240 Speaker 1: by the way, that game's at noon, so it's actually 406 00:27:04,240 --> 00:27:08,320 Speaker 1: before you start totally consuming too much food. Trust me, 407 00:27:08,359 --> 00:27:10,920 Speaker 1: my son and I have already noted what time those 408 00:27:10,920 --> 00:27:15,480 Speaker 1: Thanksgiving games are. Cheers, Go Irish, go Lions. Appreciate that, Bob, 409 00:27:16,520 --> 00:27:20,639 Speaker 1: You're gonna love this. My son's roommate, he knew his 410 00:27:20,680 --> 00:27:22,560 Speaker 1: roommate a little bit, but he didn't know his roommate 411 00:27:22,600 --> 00:27:26,160 Speaker 1: really well. His roommate moved in the day before, and 412 00:27:27,640 --> 00:27:30,239 Speaker 1: when we go into the room, the first thing we 413 00:27:30,280 --> 00:27:34,160 Speaker 1: see is this Lion's flag all taped up on the wall. 414 00:27:34,200 --> 00:27:37,680 Speaker 1: And I was like, oh man, and my son brought 415 00:27:37,680 --> 00:27:39,840 Speaker 1: to Jordan love Jersey, but he didn't bring up the 416 00:27:39,920 --> 00:27:46,120 Speaker 1: packer flag. So of course I have I am win 417 00:27:46,200 --> 00:27:48,919 Speaker 1: on Amazon quickly to order him a packer flag so 418 00:27:49,080 --> 00:27:52,320 Speaker 1: he could have some he could have, hey, and some 419 00:27:52,400 --> 00:27:57,520 Speaker 1: fun and fun little Miami news. My son ran into 420 00:27:57,520 --> 00:28:00,479 Speaker 1: Tyler van Dyke. If you're an old school her Knees fan, 421 00:28:00,560 --> 00:28:02,119 Speaker 1: or if at least been following them from more than 422 00:28:02,160 --> 00:28:08,159 Speaker 1: the last twenty four last year, Tyler van Dyke was 423 00:28:08,160 --> 00:28:12,040 Speaker 1: was had sort of six great games for Miami a 424 00:28:12,080 --> 00:28:14,320 Speaker 1: few years back, and there was some thought that maybe 425 00:28:15,280 --> 00:28:17,600 Speaker 1: in Manny Dias his last year, that maybe he could 426 00:28:17,600 --> 00:28:20,879 Speaker 1: get us over the finish line. He didn't. But his 427 00:28:21,000 --> 00:28:24,359 Speaker 1: best years at Miami were when Rhet Lashley was the 428 00:28:24,359 --> 00:28:26,600 Speaker 1: offensive coordinator. Well, Rhet last he's now the head coach 429 00:28:26,600 --> 00:28:30,760 Speaker 1: at SMU, and Tyler Van Dyke is playing his last 430 00:28:30,840 --> 00:28:33,920 Speaker 1: season right now, he's the backup at SMU. My son 431 00:28:34,000 --> 00:28:36,439 Speaker 1: ran into him, recognized him, and he couldn't have been nicer, 432 00:28:36,800 --> 00:28:41,320 Speaker 1: couldn't have been you know, So's like, Wow, I'm eighteen 433 00:28:41,360 --> 00:28:43,320 Speaker 1: and he's a grown man. He goes, I just felt 434 00:28:43,320 --> 00:28:45,400 Speaker 1: like I believe we're both students at SMU was sort 435 00:28:45,400 --> 00:28:48,600 Speaker 1: of his reaction. But if Tyler, for whatever reason, if 436 00:28:48,600 --> 00:28:53,400 Speaker 1: you're listening, I really appreciate how great you were to 437 00:28:53,520 --> 00:29:00,440 Speaker 1: your fellow SMU Mustang freshman there, So thank you for that. 438 00:29:01,240 --> 00:29:04,400 Speaker 1: Next question comes from Brian in Massachusetts, second time writer here. Recently, 439 00:29:04,440 --> 00:29:06,960 Speaker 1: you said that Marco Rubio was one of the only 440 00:29:07,000 --> 00:29:09,040 Speaker 1: adults in the room, Bessen being the other. Have you 441 00:29:09,120 --> 00:29:11,880 Speaker 1: heard if Rubio has any regrets or is embarrassed his 442 00:29:11,920 --> 00:29:14,720 Speaker 1: body language tends to say so, but when he's interviewed, 443 00:29:14,720 --> 00:29:16,440 Speaker 1: he sounds trumpy. I was never a big fan of his, 444 00:29:16,520 --> 00:29:19,880 Speaker 1: but this feels like when Hulkogan became a bad guy. 445 00:29:20,240 --> 00:29:28,000 Speaker 1: Brian from track at Massachusetts. I'll tell you. Look, I 446 00:29:28,080 --> 00:29:31,120 Speaker 1: Marco Rubio and I grew up. Both grew up in Miami. 447 00:29:32,960 --> 00:29:35,959 Speaker 1: Think he graduated the year after me or a year 448 00:29:36,000 --> 00:29:38,000 Speaker 1: before me, I can't quite remember. I think he graduated 449 00:29:38,040 --> 00:29:39,600 Speaker 1: from South Miami High School. I went to kill And 450 00:29:39,640 --> 00:29:44,280 Speaker 1: High School. His football coach was an old family friend 451 00:29:44,280 --> 00:29:46,360 Speaker 1: of mine. So we've but we didn't know each other 452 00:29:46,400 --> 00:29:51,880 Speaker 1: back then. And I'm not gonna but there's certainly we 453 00:29:52,000 --> 00:29:53,880 Speaker 1: know a lot of people who know each other type 454 00:29:53,880 --> 00:29:56,640 Speaker 1: of mindset. Right. It's a you know, like any like 455 00:29:56,680 --> 00:29:58,680 Speaker 1: any community, it can feel like a small town. The 456 00:29:58,720 --> 00:30:04,640 Speaker 1: more you get to know people, it's a riddle. It's 457 00:30:04,680 --> 00:30:08,400 Speaker 1: a riddle on Rubio. I will say this. I think 458 00:30:08,440 --> 00:30:13,080 Speaker 1: that I look every time I see the administration be 459 00:30:13,240 --> 00:30:17,200 Speaker 1: surprisingly supportive of Ukraine, I think, oh, Rubio had a 460 00:30:17,200 --> 00:30:19,760 Speaker 1: good day getting to Trump, And when I see then 461 00:30:19,800 --> 00:30:22,840 Speaker 1: Trump going the other way, it's like, oh, Rubio wasn't 462 00:30:22,840 --> 00:30:26,560 Speaker 1: there today. Vance had the presidents here on that stuff. 463 00:30:26,680 --> 00:30:33,520 Speaker 1: So look, I don't know where you know, Ruby is 464 00:30:33,520 --> 00:30:36,440 Speaker 1: not the only one. There's a lot of Republicans who 465 00:30:36,520 --> 00:30:40,280 Speaker 1: have expressed discomfort over the years, some of them publicly 466 00:30:40,920 --> 00:30:43,800 Speaker 1: who have since acquiesced, some of them privately who have 467 00:30:43,920 --> 00:30:48,760 Speaker 1: never gone public. I look at some of the things 468 00:30:49,560 --> 00:30:54,560 Speaker 1: that happened, you know, I can't believe the the irresponsibility 469 00:30:54,560 --> 00:30:59,680 Speaker 1: of confirming Robert F. Kennedy Junior to HHS. I got it. 470 00:30:59,760 --> 00:31:02,400 Speaker 1: I got to think there are some well, I know 471 00:31:02,520 --> 00:31:05,400 Speaker 1: there are at least two or three Republican Senators who 472 00:31:05,400 --> 00:31:09,640 Speaker 1: regret their vote. But you know, the confirmations of Patel, 473 00:31:10,080 --> 00:31:16,360 Speaker 1: hag Seth, Gabbert, and Kennedy are probably for the most 474 00:31:16,400 --> 00:31:20,360 Speaker 1: irresponsible ones that we've seen the Senate do, and there 475 00:31:20,360 --> 00:31:23,080 Speaker 1: were a majority against them. What they were afraid of 476 00:31:23,120 --> 00:31:25,560 Speaker 1: going public? You know, if there had been secret ballots, 477 00:31:25,560 --> 00:31:27,600 Speaker 1: none of those four in the Senate, none of those 478 00:31:27,600 --> 00:31:30,680 Speaker 1: four get confirmed, not a single one of those four 479 00:31:30,720 --> 00:31:34,360 Speaker 1: that I just mentioned, only because it's on the public record. 480 00:31:35,320 --> 00:31:37,920 Speaker 1: And in some ways that's why you noticed there's always 481 00:31:37,920 --> 00:31:40,360 Speaker 1: a move to try to make certain things more public 482 00:31:40,520 --> 00:31:43,880 Speaker 1: because it is harder to say no to the president 483 00:31:43,960 --> 00:31:45,440 Speaker 1: when you have to do so in public it is 484 00:31:45,480 --> 00:31:48,640 Speaker 1: a lot easier if you can somehow stop him without 485 00:31:48,720 --> 00:31:52,160 Speaker 1: having to publicly go after him and do that. But 486 00:31:52,240 --> 00:31:57,479 Speaker 1: I'm not gonna look, I played the what is Rubio 487 00:31:57,560 --> 00:32:02,000 Speaker 1: really thinking game for a few years during the second 488 00:32:02,000 --> 00:32:09,240 Speaker 1: half of term one. I have retired that part of 489 00:32:09,280 --> 00:32:17,680 Speaker 1: my part of my obsession over there, and so it 490 00:32:17,800 --> 00:32:22,000 Speaker 1: is you know, look, I do think that on his 491 00:32:22,080 --> 00:32:25,600 Speaker 1: foreign policy issues, that when it comes to Latin America, 492 00:32:25,760 --> 00:32:29,960 Speaker 1: when it comes to America's national security, that he does 493 00:32:30,080 --> 00:32:33,120 Speaker 1: have some deeply held beliefs, and it does seem to 494 00:32:33,160 --> 00:32:37,760 Speaker 1: me that he tries to not throw away all of 495 00:32:37,800 --> 00:32:43,160 Speaker 1: those beliefs in service to Trump. But he has certainly 496 00:32:43,240 --> 00:32:45,840 Speaker 1: proven to be a I guess the polite way would 497 00:32:45,840 --> 00:32:50,040 Speaker 1: be calling it flexible when it comes to what he 498 00:32:50,120 --> 00:32:52,640 Speaker 1: used to define what he wants to find is conservative 499 00:32:52,680 --> 00:32:56,280 Speaker 1: and what he embraces his conservatism today. But I do 500 00:32:56,360 --> 00:33:01,720 Speaker 1: think he is ecstatic to sit there and be in 501 00:33:01,720 --> 00:33:04,600 Speaker 1: in some ways, to be compartmentalized as the foreign policy guy, 502 00:33:05,920 --> 00:33:10,360 Speaker 1: because let's just say, I think even Senator Rubio would 503 00:33:10,360 --> 00:33:13,320 Speaker 1: have spoken out against taking a piece of intel, and 504 00:33:13,400 --> 00:33:16,440 Speaker 1: I think he would have been, like you knows, as 505 00:33:16,480 --> 00:33:22,640 Speaker 1: the son of exiles, Cuban exiles, nationalizing the idea of 506 00:33:22,920 --> 00:33:26,960 Speaker 1: any sort of government control of a company is something 507 00:33:27,080 --> 00:33:32,400 Speaker 1: that is that that that many a true sort of 508 00:33:32,440 --> 00:33:36,240 Speaker 1: anti Castro Cuban exile would just find appalling and be 509 00:33:36,520 --> 00:33:39,920 Speaker 1: very concerned that it was a slippery slope to Latin 510 00:33:39,960 --> 00:33:43,320 Speaker 1: American style authoritarianism. And in fact it's funny. I have 511 00:33:44,200 --> 00:33:46,520 Speaker 1: I've actually been thinking about that I've been putting together. 512 00:33:47,040 --> 00:33:49,560 Speaker 1: I haven't, I haven't, and it's not quite ready, it's 513 00:33:49,600 --> 00:33:53,440 Speaker 1: not quite ready to debut here on the pod. But 514 00:33:54,520 --> 00:33:58,000 Speaker 1: there are a number of similarities here to sort of 515 00:33:58,040 --> 00:34:02,200 Speaker 1: what we've seen in South America, for whether it's in Venezuela, 516 00:34:02,280 --> 00:34:06,360 Speaker 1: whether it's in Argentina, frankly, whether it's in Bolivia, whether 517 00:34:06,360 --> 00:34:09,759 Speaker 1: it's in Mexico. But you're seeing certain certain things that 518 00:34:09,800 --> 00:34:15,600 Speaker 1: Trump is doing that we've seen in countries where we 519 00:34:15,760 --> 00:34:21,360 Speaker 1: have said democracy is backsliding. All right, next question, um, like, 520 00:34:21,440 --> 00:34:22,919 Speaker 1: I'm going to try to sneak in two more here 521 00:34:23,600 --> 00:34:25,800 Speaker 1: on Georgia Show on Georgia Show on me Press and 522 00:34:25,880 --> 00:34:27,640 Speaker 1: was delighted to join your podcast. Two things I want 523 00:34:27,680 --> 00:34:29,440 Speaker 1: to follow up on One, where can I find a 524 00:34:29,440 --> 00:34:34,839 Speaker 1: book or publication that explains voting trends by generations. I'm 525 00:34:34,840 --> 00:34:36,440 Speaker 1: a baby boomer and want to understand the number of 526 00:34:36,480 --> 00:34:38,160 Speaker 1: voters it turned out and the results of voting in 527 00:34:38,200 --> 00:34:40,560 Speaker 1: this country since Kennedy, that is, when I was able 528 00:34:40,560 --> 00:34:42,399 Speaker 1: to vote. He died before I could vote for him. 529 00:34:42,680 --> 00:34:45,239 Speaker 1: I'm hungry for better world news. Oh number two, I'm 530 00:34:45,280 --> 00:34:47,239 Speaker 1: hungry for better world news. You mentioned a publication that 531 00:34:47,239 --> 00:34:49,680 Speaker 1: shares more information. Will you share that with me? Please? 532 00:34:49,719 --> 00:34:53,240 Speaker 1: Thank you very much, Keep up, keep up, keep making 533 00:34:53,360 --> 00:34:56,360 Speaker 1: us think, Barbara Jane, thank you, Barbara for both of 534 00:34:56,400 --> 00:34:59,759 Speaker 1: those questions. You know, there's not really one publication on 535 00:34:59,800 --> 00:35:03,960 Speaker 1: the on the generational voting patterns. This is I don't 536 00:35:03,960 --> 00:35:06,520 Speaker 1: know if you may be reacting to the conversation I 537 00:35:06,560 --> 00:35:09,960 Speaker 1: had with Charlie Cook about our deep collections of the 538 00:35:10,000 --> 00:35:13,319 Speaker 1: omen x of American politics, because in some ways these 539 00:35:13,360 --> 00:35:16,320 Speaker 1: are things that we've we've had to do together. There 540 00:35:16,360 --> 00:35:23,719 Speaker 1: there is the Brookings Institute puts out a publication called 541 00:35:23,800 --> 00:35:28,160 Speaker 1: Vital Statistics on Congress. It does have some voting trends 542 00:35:28,160 --> 00:35:30,399 Speaker 1: in there. You can actually it looks like they now 543 00:35:30,480 --> 00:35:36,160 Speaker 1: just offer it up as a PDF download that goes through. 544 00:35:36,200 --> 00:35:38,880 Speaker 1: At least it gives you a sense of of the 545 00:35:38,920 --> 00:35:45,600 Speaker 1: shifting the shifting map of congressional seats more for Congress 546 00:35:45,640 --> 00:35:51,439 Speaker 1: than anywhere else. Congressional Quarterly used to puts out something 547 00:35:51,480 --> 00:35:55,000 Speaker 1: called Politics in America, where they've kept a more of 548 00:35:55,080 --> 00:35:58,000 Speaker 1: a of a longer. I think in the publication itself 549 00:35:58,040 --> 00:36:02,719 Speaker 1: they include the sort of longer voting trend lines on 550 00:36:02,760 --> 00:36:08,280 Speaker 1: that front. But what you're describing itself doesn't really exist 551 00:36:08,400 --> 00:36:11,200 Speaker 1: in one book form, right, I think it is. In fact, 552 00:36:11,239 --> 00:36:13,640 Speaker 1: I've been encouraging my friend John Delavope, who you may 553 00:36:13,680 --> 00:36:15,680 Speaker 1: have heard a podcast with him a couple of weeks ago. 554 00:36:16,239 --> 00:36:18,399 Speaker 1: For twenty five years he's run the Harvard Youth Poll. 555 00:36:18,480 --> 00:36:22,920 Speaker 1: So what does that mean? He has been polling basically 556 00:36:23,040 --> 00:36:26,560 Speaker 1: millennials since they were eighteen and now since they were 557 00:36:26,560 --> 00:36:28,880 Speaker 1: before eight before they were eighteen, going into college, and 558 00:36:28,880 --> 00:36:31,919 Speaker 1: now that they're heading into middle age. You know, this 559 00:36:31,960 --> 00:36:35,200 Speaker 1: is all this is twenty five years of data. I'm like, John, 560 00:36:35,239 --> 00:36:38,279 Speaker 1: You've got a book here just sort of millennials, the 561 00:36:39,160 --> 00:36:42,680 Speaker 1: next big generation, you know, in comparing them to the boomers. 562 00:36:44,120 --> 00:36:47,480 Speaker 1: So I think that there is I think that I'm 563 00:36:47,520 --> 00:36:51,400 Speaker 1: obsessed with the generation of sort of how you know, 564 00:36:53,360 --> 00:36:57,160 Speaker 1: I buy into the scholarship that says we there's basically 565 00:36:57,239 --> 00:37:01,840 Speaker 1: four types of generations, and they just kind of repeat 566 00:37:01,880 --> 00:37:05,239 Speaker 1: each repeat each other. You know, since we have about four, 567 00:37:05,280 --> 00:37:07,600 Speaker 1: I guess we're now. You know, there's always pieces of 568 00:37:08,120 --> 00:37:10,279 Speaker 1: a new generation an old generation on the on the 569 00:37:10,320 --> 00:37:13,320 Speaker 1: outer edges there. So you know, parts of six generations 570 00:37:13,320 --> 00:37:16,759 Speaker 1: are living at one time these days, because because we 571 00:37:16,880 --> 00:37:21,440 Speaker 1: keep living longer and longer on that front. But I 572 00:37:21,480 --> 00:37:24,680 Speaker 1: certainly think a good analysis of the boomers over the 573 00:37:24,760 --> 00:37:29,960 Speaker 1: years would be quite healthy. I think what you learn 574 00:37:31,480 --> 00:37:34,239 Speaker 1: is and this is what we're seeing, at least with 575 00:37:34,280 --> 00:37:37,879 Speaker 1: the millennials. They started out very liberal. They have become 576 00:37:38,000 --> 00:37:44,200 Speaker 1: less so as they've aged. Boomers have been interestingly fairly 577 00:37:44,280 --> 00:37:50,120 Speaker 1: even split the whole time. What I find interesting about 578 00:37:50,120 --> 00:37:52,960 Speaker 1: the generations is it is that you know where you 579 00:37:53,080 --> 00:37:56,000 Speaker 1: begin politically, you know, how close or far away from 580 00:37:56,040 --> 00:37:59,279 Speaker 1: the center do you begin. Usually is about what you're 581 00:37:59,360 --> 00:38:01,720 Speaker 1: coming you know, what was the politics during your coming 582 00:38:01,760 --> 00:38:04,799 Speaker 1: of age? Well, what's interesting with the boomers the coming 583 00:38:04,800 --> 00:38:06,680 Speaker 1: of age times and some it was basically in the 584 00:38:06,680 --> 00:38:10,680 Speaker 1: heart of a very polarized period of America right the sixties. Well, 585 00:38:10,760 --> 00:38:13,239 Speaker 1: here we are at the endgame of the boomers, we're 586 00:38:13,280 --> 00:38:16,440 Speaker 1: in a polarized era. We weren't as polarized in between 587 00:38:17,000 --> 00:38:20,040 Speaker 1: as much, but we were there. Millennials came in and 588 00:38:20,120 --> 00:38:23,879 Speaker 1: sort of at at a low point for the Republicans 589 00:38:23,920 --> 00:38:26,080 Speaker 1: and at a hot and it's sort of a rising point 590 00:38:26,360 --> 00:38:29,640 Speaker 1: for the Democrats with Obama, and that I think started 591 00:38:29,640 --> 00:38:32,640 Speaker 1: them further, you know, started them in a more liberal trend. 592 00:38:32,880 --> 00:38:36,400 Speaker 1: Gen X, when my coming of age Republican leadership in 593 00:38:36,480 --> 00:38:39,640 Speaker 1: this country brought about the end of the Cold War, right, Well, 594 00:38:39,680 --> 00:38:42,520 Speaker 1: guess who's the most supportive of Republicans to this day. 595 00:38:43,040 --> 00:38:45,880 Speaker 1: Of the four generations. It's not Boomers, it's not millennials, 596 00:38:45,920 --> 00:38:48,480 Speaker 1: it's Gen X. So it is interesting to me for 597 00:38:48,520 --> 00:38:55,480 Speaker 1: what it's worth is how much impact over time that 598 00:38:55,640 --> 00:38:58,680 Speaker 1: sort of first coming of age for a generation, what 599 00:38:59,120 --> 00:39:03,920 Speaker 1: the coming of age which period was politically in the country, 600 00:39:04,120 --> 00:39:08,359 Speaker 1: and how it sort of has influence on sort of 601 00:39:08,480 --> 00:39:12,560 Speaker 1: directionally how that generation votes and sort of how close 602 00:39:12,600 --> 00:39:15,560 Speaker 1: to the center will they get to or deviate dep 603 00:39:16,280 --> 00:39:18,839 Speaker 1: depending on course of where they started. All right, last 604 00:39:18,880 --> 00:39:22,600 Speaker 1: question here we are bordering on one hour of non 605 00:39:22,680 --> 00:39:25,799 Speaker 1: interview time. I want to be mindful of that. This 606 00:39:25,880 --> 00:39:30,600 Speaker 1: comes from Blaze M. And Blaze Rights. Listening to your 607 00:39:30,600 --> 00:39:33,160 Speaker 1: message about chicken at Trader Joe's got me thinking I 608 00:39:33,200 --> 00:39:37,800 Speaker 1: was recently shopping for Halloween chocolate to eat now, of course, 609 00:39:38,560 --> 00:39:40,560 Speaker 1: and realize most of what was on the shelves wasn't 610 00:39:40,560 --> 00:39:43,240 Speaker 1: actually chocolate at all, just chocolate flavored candy with barely 611 00:39:43,280 --> 00:39:47,239 Speaker 1: any cocoa didn't qualify to be labeled as chocolate. Later 612 00:39:47,280 --> 00:39:49,719 Speaker 1: that day, I noticed a store brand apple drink that 613 00:39:49,840 --> 00:39:52,040 Speaker 1: was really just apple flavored sugar water, sitting right next 614 00:39:52,040 --> 00:39:53,920 Speaker 1: to real apple juice that cost a bit more. It 615 00:39:53,960 --> 00:39:56,120 Speaker 1: makes me wonder how many people actually check the labels 616 00:39:56,120 --> 00:39:58,440 Speaker 1: and how often we're left without the option of the 617 00:39:58,440 --> 00:40:01,680 Speaker 1: real thing. That's interesting, Look, you point out something that 618 00:40:01,960 --> 00:40:07,960 Speaker 1: you know, especially especially when it comes to chocolate or 619 00:40:08,080 --> 00:40:11,239 Speaker 1: in particular. I had a lung conversation actually with Steve Moore, 620 00:40:11,400 --> 00:40:15,040 Speaker 1: conservative economists who's very friendly to Trump but at the 621 00:40:15,080 --> 00:40:17,960 Speaker 1: same time very nervous about these tariffs, and noted that, hey, 622 00:40:18,600 --> 00:40:23,919 Speaker 1: you know, all of our coffee is imported. And when 623 00:40:23,960 --> 00:40:25,759 Speaker 1: you were writing this, it made me think, how much 624 00:40:25,760 --> 00:40:29,040 Speaker 1: are we going to see coffee flavored drinks without coffee 625 00:40:29,040 --> 00:40:33,720 Speaker 1: in it because it's cheaper to make the artificial flavor. 626 00:40:34,480 --> 00:40:36,439 Speaker 1: Let's say, if it's a cold brew, or if it's 627 00:40:36,520 --> 00:40:40,400 Speaker 1: you know, you know, one of those canned lattes or whatever, 628 00:40:41,000 --> 00:40:46,160 Speaker 1: because the cost of coffee is skyrocketing, and we're also 629 00:40:46,160 --> 00:40:49,719 Speaker 1: in a we've politicized the trade war with Brazil over 630 00:40:50,080 --> 00:40:55,040 Speaker 1: over Trump's obsession over Bolsonaro there and the fact that 631 00:40:55,160 --> 00:40:58,600 Speaker 1: the Brazilian government held Bolsonaro accountable for his attempt at coup. 632 00:41:00,160 --> 00:41:03,800 Speaker 1: But all of that is contributing to just skyrocketing prices 633 00:41:03,880 --> 00:41:10,399 Speaker 1: on coffee. And so your observation is interesting, and it's 634 00:41:10,400 --> 00:41:14,920 Speaker 1: gonna make me look at chocolate. I've been ignoring chocolate 635 00:41:15,160 --> 00:41:17,880 Speaker 1: for quite some time because I you know, once you 636 00:41:17,920 --> 00:41:21,279 Speaker 1: hit Middle Ages, there are certain things that don't you know, 637 00:41:21,400 --> 00:41:24,120 Speaker 1: I like chocolate. Chocolate doesn't like me. So I've actually 638 00:41:24,160 --> 00:41:27,719 Speaker 1: not been in the market for even chocolate like substances 639 00:41:27,760 --> 00:41:31,120 Speaker 1: and sometime, but I do see a similar I'm going 640 00:41:31,200 --> 00:41:33,360 Speaker 1: to be looking for it there, and I would be 641 00:41:33,480 --> 00:41:37,319 Speaker 1: saying I think I wouldn't be surprised if we start 642 00:41:37,360 --> 00:41:40,560 Speaker 1: seeing the same thing when it comes to coffee flavored, 643 00:41:40,680 --> 00:41:44,040 Speaker 1: especially if the price of coffee itself continues to go 644 00:41:44,160 --> 00:41:48,080 Speaker 1: up due to the terrafes all right, I will leave 645 00:41:48,120 --> 00:41:51,919 Speaker 1: it at that. I think I've said this a few 646 00:41:51,920 --> 00:41:55,919 Speaker 1: times this week. I've mentioned it now College Football Week one. 647 00:41:56,360 --> 00:41:59,600 Speaker 1: College football is sort of my great and favorite and 648 00:41:59,640 --> 00:42:04,880 Speaker 1: most passionate distraction. Baseball is also a passionate distraction. It 649 00:42:05,040 --> 00:42:08,080 Speaker 1: really stunk for me throughout this baseball season that, in 650 00:42:08,160 --> 00:42:13,280 Speaker 1: this tough time professionally, that we're covering these issues with Trump, 651 00:42:13,840 --> 00:42:18,600 Speaker 1: that my distraction in the evening Nationals baseball was almost 652 00:42:18,640 --> 00:42:23,760 Speaker 1: was almost as frustrating and didn't exactly uh, it didn't 653 00:42:23,800 --> 00:42:29,120 Speaker 1: exactly uh give me the uh, give me the detached 654 00:42:29,280 --> 00:42:31,400 Speaker 1: entertainment that you kind of want when you're trying to 655 00:42:31,640 --> 00:42:34,799 Speaker 1: when you're trying to uh trying to check out a 656 00:42:34,800 --> 00:42:38,879 Speaker 1: little bit, if you if you'd like to. I'm really 657 00:42:38,920 --> 00:42:44,160 Speaker 1: nervous about my Miami Hurricanes. I've been it has been 658 00:42:44,239 --> 00:42:47,799 Speaker 1: so long since they were the team to beat that 659 00:42:47,920 --> 00:42:51,560 Speaker 1: I now, you know, I'm always now, I'm like I'm 660 00:42:51,640 --> 00:42:54,440 Speaker 1: I'm I'm like Wiley coated. I'm always waiting for the 661 00:42:54,440 --> 00:42:57,960 Speaker 1: anvil to drop. How are we going to blow this? 662 00:42:58,440 --> 00:43:00,880 Speaker 1: How are we going to screw this up? The infamous 663 00:43:00,920 --> 00:43:04,120 Speaker 1: fumble with Georgia Tech two years ago, the blown twenty 664 00:43:04,160 --> 00:43:10,080 Speaker 1: one point lead against Syracuse. But in some ways I 665 00:43:10,120 --> 00:43:14,719 Speaker 1: have some confidence that Miami at night is just a 666 00:43:14,800 --> 00:43:17,920 Speaker 1: whole different place to be when it comes to college football. 667 00:43:20,280 --> 00:43:23,959 Speaker 1: If not, I'll be eating some Irish crow the next 668 00:43:23,960 --> 00:43:27,480 Speaker 1: time I upload on Tuesday morning. With that, enjoy the 669 00:43:27,520 --> 00:43:31,239 Speaker 1: final weekend of the summer and until we upload again.