1 00:00:03,440 --> 00:00:06,040 Speaker 1: Welcome back to a numbers game with Ryan Gerdusky. Thank 2 00:00:06,080 --> 00:00:09,200 Speaker 1: you all for being here again. Happy Monday, and it 3 00:00:09,280 --> 00:00:12,520 Speaker 1: is a happy Monday because we have new polling. I 4 00:00:12,520 --> 00:00:15,360 Speaker 1: will admit it's just internet polls, so that they're not 5 00:00:15,400 --> 00:00:19,040 Speaker 1: the greatest in terms of accuracy, but I have a 6 00:00:19,040 --> 00:00:21,639 Speaker 1: lot of issues with them, and I will be able 7 00:00:21,680 --> 00:00:24,360 Speaker 1: to show you how the cake is baked and give 8 00:00:24,360 --> 00:00:26,920 Speaker 1: you the kernels of truth to learn from so you 9 00:00:26,920 --> 00:00:29,360 Speaker 1: could see because they made a lot of news and 10 00:00:29,400 --> 00:00:31,720 Speaker 1: there are things to figure out from them, but it 11 00:00:31,760 --> 00:00:35,120 Speaker 1: will but they're not the greatest polster. So the first 12 00:00:35,120 --> 00:00:37,600 Speaker 1: poll that came out was a Surveying Monkey poll. It 13 00:00:37,640 --> 00:00:41,960 Speaker 1: was released by NBC News. There is a lot of 14 00:00:42,040 --> 00:00:46,640 Speaker 1: things in this pole, like are red flags. It is 15 00:00:47,120 --> 00:00:49,479 Speaker 1: like a date with a woman who doesn't blink and 16 00:00:49,760 --> 00:00:52,599 Speaker 1: already knows your mother's maiden name. It is definitely a 17 00:00:52,640 --> 00:00:56,600 Speaker 1: problematic poll, so first issue with it. The poll was 18 00:00:56,600 --> 00:01:01,800 Speaker 1: conducted from August thirteenth to September. First, remember poles are 19 00:01:02,080 --> 00:01:05,520 Speaker 1: snapshots in time. They are not predictors of the future. 20 00:01:05,560 --> 00:01:09,080 Speaker 1: So you want a limited time period for a poll 21 00:01:09,160 --> 00:01:11,200 Speaker 1: to be conducted. Write a poll should be done over 22 00:01:11,480 --> 00:01:14,480 Speaker 1: the course of a few days to at most a week, 23 00:01:14,680 --> 00:01:17,680 Speaker 1: not over several weeks, because you're not getting an accurate 24 00:01:17,720 --> 00:01:21,120 Speaker 1: opinion of things. Secondly, it was done by survey Monkey, 25 00:01:21,200 --> 00:01:23,759 Speaker 1: which is an internet pollster. They don't have a great 26 00:01:23,760 --> 00:01:27,640 Speaker 1: reputation in the business. What they can do successfully is 27 00:01:27,800 --> 00:01:30,880 Speaker 1: very large surveys. Right, so people think, oh, you get 28 00:01:30,880 --> 00:01:32,840 Speaker 1: such a big bang for your buck ause you're serving 29 00:01:32,959 --> 00:01:36,639 Speaker 1: thirty forty fifty thousand people. That's not the case. Survey 30 00:01:36,720 --> 00:01:39,800 Speaker 1: Monkey in twenty twenty four hit is seven point error 31 00:01:39,880 --> 00:01:42,520 Speaker 1: almost of their polls. They're a C. They have a 32 00:01:42,560 --> 00:01:45,360 Speaker 1: C grade as far as polsters go, which remember back 33 00:01:45,400 --> 00:01:48,120 Speaker 1: in high school sees you know they're not You can 34 00:01:48,160 --> 00:01:51,680 Speaker 1: graduate with them, but you can't actually make get anywhere 35 00:01:51,760 --> 00:01:54,240 Speaker 1: decent for college. So before I go any further with 36 00:01:54,280 --> 00:01:55,800 Speaker 1: the I want to go through the results. I want 37 00:01:55,880 --> 00:01:57,960 Speaker 1: before I sit there and mock the poll a little 38 00:01:57,960 --> 00:01:59,320 Speaker 1: bit more, but I want to go through the results. 39 00:01:59,320 --> 00:02:02,520 Speaker 1: The poll found President Trump has an approval rating of 40 00:02:02,560 --> 00:02:05,600 Speaker 1: forty three percent a disapproval rating of fifty seven percent. 41 00:02:06,240 --> 00:02:08,960 Speaker 1: Among the issues that Americans care about the most, the 42 00:02:08,960 --> 00:02:11,880 Speaker 1: economy came in first with twenty five percent, threats to 43 00:02:11,880 --> 00:02:15,920 Speaker 1: democracy with twenty four percent, and healthcare with seventeen percent. 44 00:02:16,480 --> 00:02:20,000 Speaker 1: President Trump's weakest issue, the poll found was inflation, with 45 00:02:20,080 --> 00:02:23,120 Speaker 1: only thirty nine percent of Americans approving of the job 46 00:02:23,160 --> 00:02:28,519 Speaker 1: he's doing on inflation. Sixty one percent disapprove. Okay, here's 47 00:02:28,560 --> 00:02:30,680 Speaker 1: how you know. The poll also has a problem with 48 00:02:30,720 --> 00:02:34,359 Speaker 1: sample size. When asked how they felt with the current administration, 49 00:02:34,560 --> 00:02:37,320 Speaker 1: seventy three percent of Republicans said that they had a 50 00:02:37,400 --> 00:02:39,840 Speaker 1: positive word like they were thrilled or they were excited. 51 00:02:40,280 --> 00:02:43,519 Speaker 1: Seventeen percent had a neutral word. That doesn't seem like 52 00:02:43,600 --> 00:02:46,080 Speaker 1: much of a reflec to me. But among independents only 53 00:02:46,200 --> 00:02:50,119 Speaker 1: eight percent had a positive word, which is way too 54 00:02:50,200 --> 00:02:53,160 Speaker 1: low to be an accurate poll, and thirty four percent 55 00:02:53,240 --> 00:02:55,880 Speaker 1: had that they were neutral on the administration, which is 56 00:02:55,960 --> 00:03:00,680 Speaker 1: way too high. Like that means you're either a over 57 00:03:00,760 --> 00:03:04,320 Speaker 1: sampling Democrats among the independents or B, which is the 58 00:03:04,360 --> 00:03:07,000 Speaker 1: case for this poll, you have too many people who 59 00:03:07,080 --> 00:03:09,160 Speaker 1: do not vote and don't pay attention to the news 60 00:03:09,200 --> 00:03:12,880 Speaker 1: being sampled. Forty one percent of people who responded this 61 00:03:12,919 --> 00:03:15,000 Speaker 1: pole so that they did not vote in twenty twenty four, 62 00:03:15,880 --> 00:03:19,360 Speaker 1: and over twenty percent were not registered to vote. So 63 00:03:19,880 --> 00:03:24,200 Speaker 1: poll is way too overrepresentative. People who don't vote, never 64 00:03:24,240 --> 00:03:27,800 Speaker 1: will vote, don't really follow the news, and kind of 65 00:03:27,800 --> 00:03:31,400 Speaker 1: go on vibes where they've heard in the media. It's 66 00:03:31,440 --> 00:03:34,680 Speaker 1: not accurate to the electorate or how people will be 67 00:03:34,840 --> 00:03:38,560 Speaker 1: changing their opinion over time. My guess is survey Monkey 68 00:03:38,600 --> 00:03:40,920 Speaker 1: did it and did not charge NBC for it, which 69 00:03:40,920 --> 00:03:43,280 Speaker 1: is why NBC released it. That's my own personal guest. 70 00:03:43,760 --> 00:03:46,440 Speaker 1: The other poll that came out this last weekend was 71 00:03:46,480 --> 00:03:49,360 Speaker 1: a you gov poll released by CBS. You gov is 72 00:03:49,400 --> 00:03:52,560 Speaker 1: another Internet poster, which a whole host of problems because 73 00:03:52,560 --> 00:03:55,480 Speaker 1: they only do Internet things. But the big takeaway from 74 00:03:55,480 --> 00:03:58,240 Speaker 1: this poll was that Trump's approting has gone up from 75 00:03:58,280 --> 00:04:01,280 Speaker 1: forty two percent in July to four twenty four percent augivets. 76 00:04:01,880 --> 00:04:05,040 Speaker 1: Support for tariffs, however, have slipped to a low of 77 00:04:05,120 --> 00:04:09,119 Speaker 1: thirty eight percent once again. Trump's weakest issue was on inflation, 78 00:04:09,320 --> 00:04:12,080 Speaker 1: and sixty percent of Americans that the economy was in 79 00:04:12,200 --> 00:04:15,400 Speaker 1: bad shape. When I asked how people are judging the 80 00:04:15,440 --> 00:04:19,440 Speaker 1: success or failure of the Trump administration, forty four percent 81 00:04:19,480 --> 00:04:23,320 Speaker 1: of Republicans, the largest Republicans, said they were judging based 82 00:04:23,320 --> 00:04:27,440 Speaker 1: on how he kept his promises around immigration. Twenty six 83 00:04:27,480 --> 00:04:32,120 Speaker 1: percent of independence tied between immigration and the economy slash 84 00:04:32,160 --> 00:04:36,760 Speaker 1: inflation in this sense, because Republicans are more focused on immigration, 85 00:04:36,800 --> 00:04:38,640 Speaker 1: they're willing to give the benefit of the doubt to 86 00:04:38,680 --> 00:04:41,520 Speaker 1: Trump on other issues because he's kept a lot of 87 00:04:41,520 --> 00:04:45,360 Speaker 1: his immigration promises. But fifty percent of Americans say they 88 00:04:45,400 --> 00:04:49,599 Speaker 1: are financially worse off, including fifty five percent of Independence, 89 00:04:49,760 --> 00:04:53,440 Speaker 1: especially on the issue of food prices. Now, once again, 90 00:04:53,640 --> 00:04:56,480 Speaker 1: these poles are Internet polls. They're not high quality polls. 91 00:04:56,520 --> 00:04:59,520 Speaker 1: You shouldn't take them as gospels, but there are kernels 92 00:04:59,560 --> 00:05:04,920 Speaker 1: of true there. Namely, fears over the economy, especially over inflation, 93 00:05:05,279 --> 00:05:10,520 Speaker 1: are real. They are really hurting this president's approval process. 94 00:05:11,200 --> 00:05:14,640 Speaker 1: And while the media tries to tie Trump down in 95 00:05:14,720 --> 00:05:18,320 Speaker 1: controversies that nobody cares about that, they love to obsess 96 00:05:18,400 --> 00:05:22,320 Speaker 1: over everything from what Elon's doing, to National Guards troops 97 00:05:22,320 --> 00:05:24,240 Speaker 1: to whatever the flavor of the moment to draw a 98 00:05:24,279 --> 00:05:27,880 Speaker 1: click clicks are for you know, Rachel Mattow viewers. That 99 00:05:28,040 --> 00:05:32,000 Speaker 1: is not what's driving negative approval of President Trump. It 100 00:05:32,120 --> 00:05:34,960 Speaker 1: is the cost of living and the cost of food. 101 00:05:35,360 --> 00:05:40,119 Speaker 1: And this is what Republicans need to address. A big 102 00:05:40,240 --> 00:05:42,600 Speaker 1: part of that that they are not addressing. That they 103 00:05:42,640 --> 00:05:46,200 Speaker 1: are not even talking about yet. Is that the is 104 00:05:46,200 --> 00:05:49,520 Speaker 1: that the Trump administration is going all in on AI 105 00:05:49,839 --> 00:05:52,239 Speaker 1: and tech companies. They think that this is the way 106 00:05:52,839 --> 00:05:57,360 Speaker 1: to solve a myriad of our national problems, especially growth, 107 00:05:57,480 --> 00:06:04,040 Speaker 1: especially job creation. Completely invested in this sector of the economy. 108 00:06:05,000 --> 00:06:07,960 Speaker 1: I personally believe and I have seen pulling on it, 109 00:06:08,400 --> 00:06:11,760 Speaker 1: that they are the Trump administration is very out of 110 00:06:11,880 --> 00:06:15,240 Speaker 1: step with the fears and the beliefs of the general public. 111 00:06:15,680 --> 00:06:19,600 Speaker 1: There's a general worry from Americans. Not the sky is 112 00:06:19,640 --> 00:06:22,080 Speaker 1: not falling, but they are concerned when it comes to 113 00:06:22,120 --> 00:06:26,279 Speaker 1: AI and technology. Everything from tech in the classrooms to 114 00:06:26,360 --> 00:06:30,279 Speaker 1: automation of jobs, to data collections of our health records. 115 00:06:30,400 --> 00:06:34,560 Speaker 1: There's just cause to be concerned. So recent polls like 116 00:06:34,600 --> 00:06:37,560 Speaker 1: Pew Research found that fifty one percent of Americans were 117 00:06:37,600 --> 00:06:40,760 Speaker 1: concerned about AI and seventy five percent, according to Gallup, 118 00:06:40,800 --> 00:06:43,560 Speaker 1: so that AI was going to reduce jobs, and Reuters 119 00:06:43,920 --> 00:06:46,280 Speaker 1: found that sixty one percent of Americans think that AI 120 00:06:46,279 --> 00:06:51,080 Speaker 1: could threaten humanity. These aren't great numbers when it comes 121 00:06:51,120 --> 00:06:55,320 Speaker 1: to an entire sector that members of the Trump administration 122 00:06:55,360 --> 00:06:57,680 Speaker 1: are saying, let's go pedal to the metal, let's completely 123 00:06:57,720 --> 00:07:02,440 Speaker 1: gamble on with no or limited regular And the problem 124 00:07:02,640 --> 00:07:05,880 Speaker 1: as of right now because they're betting that these medical 125 00:07:05,920 --> 00:07:07,680 Speaker 1: breakthroughs and all this other stuff, which there might be, 126 00:07:08,000 --> 00:07:12,640 Speaker 1: but the problem right now is energy costs that are 127 00:07:12,760 --> 00:07:17,120 Speaker 1: trickling into people's bills on their day to day life. 128 00:07:18,440 --> 00:07:21,800 Speaker 1: There could be a great future that comes from AI, 129 00:07:22,480 --> 00:07:25,000 Speaker 1: but look at what's happening right now in the New 130 00:07:25,080 --> 00:07:30,280 Speaker 1: Jersey and Virginia gubernatorial elections. Right look at what the 131 00:07:30,320 --> 00:07:34,640 Speaker 1: main issue both Republicans and Democrats running for office are 132 00:07:34,720 --> 00:07:37,480 Speaker 1: talking about. Right when I had on, I had on. 133 00:07:37,560 --> 00:07:40,240 Speaker 1: Ryan Fazio was running for governor of Connecticut last week 134 00:07:40,240 --> 00:07:41,920 Speaker 1: on the show, What was the number one thing? He 135 00:07:42,000 --> 00:07:47,640 Speaker 1: was talking about? Electricity costs. Electricity prices have risen past 136 00:07:48,160 --> 00:07:53,600 Speaker 1: the rate of inflation for three consecutive years. Since twenty twenty, 137 00:07:53,720 --> 00:07:59,120 Speaker 1: electricity prices are up over thirty percent. Now, part of 138 00:07:59,160 --> 00:08:01,600 Speaker 1: that is because of overspending, because of COVID, there's too 139 00:08:01,680 --> 00:08:04,680 Speaker 1: much money in the system. We're seeing general inflation and 140 00:08:04,720 --> 00:08:06,960 Speaker 1: in some parts of our country it's because Green New 141 00:08:07,000 --> 00:08:10,680 Speaker 1: Deal policies didn't work to produce the level of energy 142 00:08:10,680 --> 00:08:14,200 Speaker 1: that they promised throughout the last twenty some odd years, 143 00:08:14,240 --> 00:08:16,600 Speaker 1: and they have made energy more expensive. That is all 144 00:08:16,640 --> 00:08:19,840 Speaker 1: part of it. But the bigger part that is recently 145 00:08:19,880 --> 00:08:23,480 Speaker 1: happening is the creation and the explosion of these AI 146 00:08:23,640 --> 00:08:26,600 Speaker 1: data centers, or just data centers on AI, but data centers. 147 00:08:26,920 --> 00:08:30,080 Speaker 1: According to the New York Times, data centers consumed four 148 00:08:30,280 --> 00:08:34,480 Speaker 1: percent of all electricity created in the United States in 149 00:08:34,559 --> 00:08:38,840 Speaker 1: twenty twenty three. That will jump to twelve percent of 150 00:08:39,080 --> 00:08:42,880 Speaker 1: all electricity created the United States by twenty twenty eight. 151 00:08:42,960 --> 00:08:47,640 Speaker 1: This isn't far off in the future. This is insane growth, 152 00:08:48,160 --> 00:08:52,120 Speaker 1: crazy growth, and that doesn't say anything about the water 153 00:08:52,360 --> 00:08:55,160 Speaker 1: being used to cool these data centers. A major data 154 00:08:55,200 --> 00:09:00,120 Speaker 1: center consumes up to five million gallons of water per day. 155 00:09:00,480 --> 00:09:02,560 Speaker 1: That's as much water as needed for a town of 156 00:09:02,600 --> 00:09:06,240 Speaker 1: fifty thousand people. Now, when you consider that these data 157 00:09:06,280 --> 00:09:09,400 Speaker 1: centers are propped up in states that are increasingly being 158 00:09:09,440 --> 00:09:14,360 Speaker 1: populated in areas that have large levels of droughts in 159 00:09:14,400 --> 00:09:17,679 Speaker 1: the South and in the Southwest, it makes this situation 160 00:09:17,960 --> 00:09:21,320 Speaker 1: even more problematic as those data centers continue to grow. 161 00:09:21,840 --> 00:09:25,280 Speaker 1: A June analysis from the Carnegie Mellon University and North 162 00:09:25,320 --> 00:09:29,640 Speaker 1: Carolina State University found that electricity bills are on track 163 00:09:29,960 --> 00:09:33,559 Speaker 1: to rise an average up eight percent nationwide by twenty 164 00:09:33,679 --> 00:09:37,400 Speaker 1: thirty and as much by twenty five percent in states 165 00:09:37,440 --> 00:09:41,640 Speaker 1: with large amounts of data centers like Virginia. Look, I'm 166 00:09:41,679 --> 00:09:44,559 Speaker 1: not a genius. I don't have many talents in this life. 167 00:09:44,559 --> 00:09:47,840 Speaker 1: But one talent I do is I can see political 168 00:09:47,960 --> 00:09:52,240 Speaker 1: movements starting from a mile away. Energy cost is the 169 00:09:52,280 --> 00:09:58,200 Speaker 1: populace uprising that no politician is yet jumping on. But 170 00:09:58,320 --> 00:10:01,840 Speaker 1: they will, They all will. This is going to be 171 00:10:01,960 --> 00:10:05,680 Speaker 1: the conversation for the twenty twenty six governor's races. For 172 00:10:05,720 --> 00:10:09,960 Speaker 1: the twenty twenty eight presidential election, someone will be talking 173 00:10:09,960 --> 00:10:13,679 Speaker 1: about this because these tech companies that make these data centers, 174 00:10:14,040 --> 00:10:18,199 Speaker 1: they're increasingly asking for tax cuts. They create virtually no 175 00:10:18,360 --> 00:10:23,640 Speaker 1: jobs outside of temporary construction jobs. And this increased costs 176 00:10:23,960 --> 00:10:27,800 Speaker 1: of these centers that produce virtually no jobs are being 177 00:10:27,880 --> 00:10:32,840 Speaker 1: consumed by taxpayers. And those just aren't just electricity costs. 178 00:10:33,000 --> 00:10:36,000 Speaker 1: Think of how this ripples through your average costs or 179 00:10:36,000 --> 00:10:39,000 Speaker 1: your daily life. What is the main driver of costs 180 00:10:39,000 --> 00:10:42,840 Speaker 1: when it comes to food. It's not labor, it's energy. 181 00:10:43,559 --> 00:10:46,960 Speaker 1: So while oil is fairly cheap to transport right now, 182 00:10:46,960 --> 00:10:48,800 Speaker 1: it's not as high as it was at other points 183 00:10:48,840 --> 00:10:52,880 Speaker 1: in our recent history. Electricity, which you need to keep 184 00:10:52,960 --> 00:10:56,720 Speaker 1: products and produce fresh, is more et more expensive, and 185 00:10:56,760 --> 00:10:59,520 Speaker 1: in fact, the rate of growth is increasing faster for 186 00:10:59,600 --> 00:11:02,959 Speaker 1: real than it is for your home. So where are 187 00:11:02,960 --> 00:11:08,199 Speaker 1: these costs going to be felt by consumers, by restaurants, 188 00:11:08,520 --> 00:11:12,720 Speaker 1: by all of these people in the food business. You know, 189 00:11:13,000 --> 00:11:16,160 Speaker 1: for as much as Presidents Trump's Trump's tariffs are being 190 00:11:16,280 --> 00:11:19,520 Speaker 1: blamed for rising costs, we grow most of our food 191 00:11:19,520 --> 00:11:23,240 Speaker 1: in America. They're not subject to tariffs, where the bread 192 00:11:23,280 --> 00:11:25,520 Speaker 1: basket of the world. So why are we seeing these 193 00:11:25,559 --> 00:11:29,880 Speaker 1: costs explode? Partially is the hangup of too much money 194 00:11:29,920 --> 00:11:31,920 Speaker 1: in the system and COVID and all the rest of 195 00:11:31,960 --> 00:11:34,760 Speaker 1: that stuff. I said, But the Walmart supercentre or the 196 00:11:34,840 --> 00:11:37,880 Speaker 1: costco or the publics that you're buying your groceries from, 197 00:11:37,920 --> 00:11:41,120 Speaker 1: they are spending more to refrigerate them, and they are 198 00:11:41,440 --> 00:11:44,880 Speaker 1: moving those prices onto you because we're all in the 199 00:11:44,920 --> 00:11:47,520 Speaker 1: same power grid. Everyone's using the site the same power grid, 200 00:11:47,559 --> 00:11:50,360 Speaker 1: and there's no sign that this is going to end. 201 00:11:50,920 --> 00:11:53,719 Speaker 1: My adoptive state of Louisiana is currently building one of 202 00:11:53,760 --> 00:11:57,520 Speaker 1: the largest data centers on the planet, enough to build 203 00:11:57,720 --> 00:12:02,720 Speaker 1: one hundred and seventy three souper domes empower two million homes. 204 00:12:03,040 --> 00:12:06,240 Speaker 1: And this is a META data center and Meta is 205 00:12:06,280 --> 00:12:10,160 Speaker 1: only required to share in the cost for fifteen years. 206 00:12:10,320 --> 00:12:12,640 Speaker 1: After that, most of the costs will be spread to 207 00:12:12,800 --> 00:12:16,600 Speaker 1: Louisiana taxpayers. Now I'm not saying we shouldn't have any 208 00:12:16,640 --> 00:12:19,840 Speaker 1: data centers. We obviously need them. But these are the 209 00:12:19,880 --> 00:12:23,120 Speaker 1: wealthiest companies on Earth. Some of these are the wealthies 210 00:12:23,120 --> 00:12:25,160 Speaker 1: companies that ever existed on Earth. 211 00:12:25,640 --> 00:12:26,360 Speaker 2: Why are they. 212 00:12:26,240 --> 00:12:29,640 Speaker 1: Receiving tax cuts to build these things? Why are we 213 00:12:29,840 --> 00:12:32,880 Speaker 1: as taxpayers being forced to subsidize things that are on 214 00:12:33,080 --> 00:12:37,400 Speaker 1: our grid. This is corporatism. This is corporate welfare at 215 00:12:37,440 --> 00:12:39,760 Speaker 1: its finest. And if you think that the Bernie Sanders 216 00:12:39,800 --> 00:12:43,880 Speaker 1: movement was big in twenty sixteen, wait until an elderly 217 00:12:43,920 --> 00:12:46,560 Speaker 1: person or working class people have to choose between heating 218 00:12:46,559 --> 00:12:50,120 Speaker 1: their homes this winter and paying their regular bills. As 219 00:12:50,240 --> 00:12:53,600 Speaker 1: data centers get up more and more of our energy. 220 00:12:54,320 --> 00:12:57,480 Speaker 1: This is the next populous fight that will happen by 221 00:12:57,520 --> 00:13:00,520 Speaker 1: the time twenty twenty eight comes around, if not sooner. 222 00:13:01,280 --> 00:13:03,680 Speaker 1: I do believe this will happen in most twenty twenty 223 00:13:03,679 --> 00:13:07,320 Speaker 1: six elections. We will be talking about electricity ANDAI data 224 00:13:07,320 --> 00:13:11,319 Speaker 1: centers are data centers, period, and this will be the 225 00:13:11,360 --> 00:13:15,240 Speaker 1: thing that people will jump on and blame the administration on. 226 00:13:16,080 --> 00:13:19,319 Speaker 1: And if we cannot reduce the costs of living in 227 00:13:19,360 --> 00:13:23,280 Speaker 1: this country, it will be very painful for a lot 228 00:13:23,320 --> 00:13:26,480 Speaker 1: of people, but especially for the Republican Party who is 229 00:13:26,520 --> 00:13:28,679 Speaker 1: in charge right now. My guest this week is an 230 00:13:28,760 --> 00:13:32,080 Speaker 1: expert on energy. He's coming on next to discuss what's 231 00:13:32,120 --> 00:13:34,599 Speaker 1: going with data centers and how it's going to be 232 00:13:34,640 --> 00:13:41,079 Speaker 1: affecting you and your pocketbook. That's coming up next with 233 00:13:41,120 --> 00:13:43,520 Speaker 1: me today to discuss this topic is Daniel Turner. He 234 00:13:43,640 --> 00:13:46,720 Speaker 1: is the founder and executive director of Power the Future 235 00:13:46,760 --> 00:13:49,760 Speaker 1: and his uncle is my old boss, Congressman Bob Turner, 236 00:13:50,440 --> 00:13:52,800 Speaker 1: a campaign I was very proud to work on back 237 00:13:52,920 --> 00:13:55,200 Speaker 1: like a decade ago. So Daniel, thank you for being here. 238 00:13:55,559 --> 00:13:57,920 Speaker 3: Oh Ryan, it's great to be with you. And yeah, 239 00:13:58,040 --> 00:14:02,120 Speaker 3: longtime friends. So this is like a reconnection. I love it. 240 00:14:02,720 --> 00:14:04,800 Speaker 1: Well anyone from Queen who grew up here as a 241 00:14:04,800 --> 00:14:09,200 Speaker 1: special person. So well. Your organization wrote a fascinating research 242 00:14:09,280 --> 00:14:13,040 Speaker 1: piece about the growth of data centers, specifically mentioning one 243 00:14:13,040 --> 00:14:15,160 Speaker 1: of the references they mentioned in the piece was about 244 00:14:15,160 --> 00:14:18,520 Speaker 1: the state of Virginia. You wrote that in data centers 245 00:14:18,559 --> 00:14:21,600 Speaker 1: could take a forty six percent of all electricity made 246 00:14:21,640 --> 00:14:25,200 Speaker 1: in the state by twenty thirty. What does that average 247 00:14:25,240 --> 00:14:28,000 Speaker 1: that kind of growth average out to the cost per citizen. 248 00:14:29,040 --> 00:14:32,720 Speaker 3: Our utility bills in Virginia are up thirty five to 249 00:14:32,760 --> 00:14:36,680 Speaker 3: forty percent, depending upon the part of the state. And yeah, 250 00:14:36,720 --> 00:14:39,400 Speaker 3: there's lots of reasons, and bad energy policy at the 251 00:14:39,480 --> 00:14:42,760 Speaker 3: national level can have some impact, but the main driver 252 00:14:43,160 --> 00:14:46,240 Speaker 3: is that we have roughly a third of the nation's 253 00:14:46,320 --> 00:14:50,200 Speaker 3: data centers are between my farm in Shenandoah and Washington, 254 00:14:50,280 --> 00:14:53,160 Speaker 3: d C. Every time I drive to DC for whatever reason, 255 00:14:53,280 --> 00:14:57,840 Speaker 3: I pass all these data centers, and the average data 256 00:14:57,920 --> 00:15:03,200 Speaker 3: center is the equivalent energy consumer of one hundred thousand homes. 257 00:15:03,960 --> 00:15:06,640 Speaker 3: And so when you look at our governor, who I 258 00:15:06,760 --> 00:15:10,480 Speaker 3: like very much, Glenn Younkin, but he's talked about how 259 00:15:10,560 --> 00:15:13,400 Speaker 3: we've built two hundred and something data centers while he's 260 00:15:13,440 --> 00:15:17,040 Speaker 3: been governor. And yes, there's tax revenue and job creation 261 00:15:17,200 --> 00:15:19,720 Speaker 3: and all that, but what he doesn't say is we've 262 00:15:19,720 --> 00:15:24,000 Speaker 3: basically added twenty three million Virginians in terms of energy 263 00:15:24,040 --> 00:15:28,080 Speaker 3: consumption and we haven't increased our energy production. So the 264 00:15:28,160 --> 00:15:31,920 Speaker 3: natural result when you have same supply and increased demand 265 00:15:32,320 --> 00:15:34,920 Speaker 3: is prices go up. And this is a crisis that's 266 00:15:34,960 --> 00:15:38,440 Speaker 3: going to hit nationwide. As we're building these data centers 267 00:15:38,520 --> 00:15:41,960 Speaker 3: left and right, we're not producing the energy to sustain 268 00:15:42,000 --> 00:15:42,680 Speaker 3: it well. 269 00:15:42,680 --> 00:15:44,560 Speaker 1: And it doesn't seem like these data centers make that 270 00:15:44,600 --> 00:15:47,760 Speaker 1: many jobs. There's only construction jobs, but long term jobs, 271 00:15:47,760 --> 00:15:49,040 Speaker 1: there's not a lot of jobs. 272 00:15:49,640 --> 00:15:53,800 Speaker 3: No, you're absolutely right. There are construction jobs, which are great, 273 00:15:53,920 --> 00:15:55,640 Speaker 3: you know if you're in that industry, and of course 274 00:15:55,680 --> 00:15:58,000 Speaker 3: there are suppliers and cement and steel and all that. 275 00:15:58,360 --> 00:16:02,360 Speaker 3: But then yeah, on the long term there's very few. Actually, 276 00:16:02,400 --> 00:16:05,160 Speaker 3: if anyone watched that great show Silicon Valley, there was 277 00:16:05,160 --> 00:16:07,720 Speaker 3: always that weird, creepy guy who worked at the data 278 00:16:07,760 --> 00:16:10,800 Speaker 3: center and in these huge cavernous halls and just one 279 00:16:10,920 --> 00:16:13,120 Speaker 3: strange guy, and that's kind of what it is. There's 280 00:16:13,160 --> 00:16:16,160 Speaker 3: four or five people who work there because that's what 281 00:16:16,200 --> 00:16:18,920 Speaker 3: they like about AI is that they don't require human 282 00:16:19,360 --> 00:16:23,240 Speaker 3: human labor. So yeah, there isn't long term job creation. 283 00:16:23,560 --> 00:16:26,680 Speaker 3: It's another reason why municipalities love them so much, because 284 00:16:26,680 --> 00:16:29,080 Speaker 3: they say, hey, look we're going to get this tax revenue, 285 00:16:29,480 --> 00:16:33,119 Speaker 3: but we don't have It's not like an Amazon fulfillment 286 00:16:33,200 --> 00:16:36,440 Speaker 3: center where you've got traffic now of nine hundred one 287 00:16:36,440 --> 00:16:39,960 Speaker 3: thousand additional cars. So you don't notice it on the roads, 288 00:16:40,000 --> 00:16:44,360 Speaker 3: but you notice it on electricity. Water also that's another podcast, 289 00:16:44,480 --> 00:16:49,240 Speaker 3: but both of them are now scarce because of these 290 00:16:49,320 --> 00:16:50,080 Speaker 3: data centers. 291 00:16:50,600 --> 00:16:53,520 Speaker 1: Well, okay, I have an opinion that part of the 292 00:16:53,560 --> 00:16:58,280 Speaker 1: reason that food costs have increased is because corporation like 293 00:16:58,320 --> 00:17:02,040 Speaker 1: to you know, Costco, Walmart, wherever you get your food publics, 294 00:17:02,400 --> 00:17:04,600 Speaker 1: you're in there in competition with these data centers for 295 00:17:04,680 --> 00:17:07,040 Speaker 1: electricity as well, and that's what you need to keep 296 00:17:07,520 --> 00:17:13,240 Speaker 1: produce fresh. Is that is are we seeing this filter 297 00:17:13,320 --> 00:17:16,800 Speaker 1: out by than just straight electric costs. Is the cost 298 00:17:16,880 --> 00:17:20,520 Speaker 1: of everything in our normal consumption lives also going up 299 00:17:20,720 --> 00:17:25,320 Speaker 1: because electricity and energy costs are going And this is a. 300 00:17:25,359 --> 00:17:29,520 Speaker 3: Huge vulnerability for President Trump because he ran on this 301 00:17:30,680 --> 00:17:33,280 Speaker 3: and he is not to blame. We put out another 302 00:17:33,320 --> 00:17:37,400 Speaker 3: study about called America's Coming Energy Crisis, and we made 303 00:17:37,440 --> 00:17:40,320 Speaker 3: it clear President Trump, this is not his fault, but 304 00:17:40,400 --> 00:17:42,840 Speaker 3: it is going to come to a head and his administration, 305 00:17:43,320 --> 00:17:45,120 Speaker 3: and he is going to get the blame if things 306 00:17:45,119 --> 00:17:47,879 Speaker 3: don't work out. So something like shutting down the border 307 00:17:48,000 --> 00:17:50,679 Speaker 3: happened pretty quickly, right within the first couple of days 308 00:17:51,240 --> 00:17:55,200 Speaker 3: it stopped. But reversing four years of bad energy policy 309 00:17:55,359 --> 00:17:57,360 Speaker 3: is not going to happen on a dime. It's going 310 00:17:57,400 --> 00:18:01,160 Speaker 3: to happen very very slowly. And when you make energy expensive, 311 00:18:01,760 --> 00:18:05,639 Speaker 3: you make life expensive. Because everything around us this podcast, 312 00:18:06,040 --> 00:18:11,720 Speaker 3: everything requires energy. Anything grown, manufactured, transported, refrigerated, all of 313 00:18:11,760 --> 00:18:14,399 Speaker 3: that requires energy. So from the very first kernel of 314 00:18:14,480 --> 00:18:18,800 Speaker 3: corn that that is planted and irrigated and harvested, your 315 00:18:18,840 --> 00:18:21,760 Speaker 3: diesel prices were through the roof for four years under Biden, 316 00:18:21,800 --> 00:18:24,240 Speaker 3: and that takes a while to trickle down. Right, we're 317 00:18:24,280 --> 00:18:27,480 Speaker 3: eating last year's food because we're harvesting this year is now, 318 00:18:27,960 --> 00:18:31,919 Speaker 3: so last year's we eat last year's corn that was 319 00:18:31,960 --> 00:18:34,840 Speaker 3: planted under really high energy prices, and the farmers are 320 00:18:34,840 --> 00:18:37,440 Speaker 3: going to pass on those costs. So it's going to 321 00:18:37,520 --> 00:18:39,719 Speaker 3: take a while to lower energy costs, and then it's 322 00:18:39,760 --> 00:18:42,440 Speaker 3: going to take even longer for those costs to get 323 00:18:42,440 --> 00:18:43,840 Speaker 3: felt by the American people. 324 00:18:44,359 --> 00:18:48,200 Speaker 1: How much can our grid hold? Because that's we constantly 325 00:18:48,200 --> 00:18:49,880 Speaker 1: hear the grid is under so much stress. The grid 326 00:18:49,920 --> 00:18:52,000 Speaker 1: is under some much stress. I don't really know what 327 00:18:52,040 --> 00:18:55,600 Speaker 1: that means, and is there a limit to how many 328 00:18:55,680 --> 00:18:59,040 Speaker 1: more how much more energy the grade can sustain that 329 00:18:59,080 --> 00:19:01,879 Speaker 1: we're that it's going assuming yeah, one hundred percent. 330 00:19:02,400 --> 00:19:05,520 Speaker 3: You know, again, this is just like any other unfixed 331 00:19:05,560 --> 00:19:10,080 Speaker 3: commodity that at a certain point, if the demand is 332 00:19:10,119 --> 00:19:15,600 Speaker 3: too high, collapses is absolutely imminent. And what happened in 333 00:19:15,640 --> 00:19:18,600 Speaker 3: the past. A lot of people comparing the AI data 334 00:19:18,680 --> 00:19:22,720 Speaker 3: revolution to the birth of the Internet in the late eighties, 335 00:19:22,760 --> 00:19:25,960 Speaker 3: early nineties, et cetera. And it's a little bit true, 336 00:19:26,960 --> 00:19:30,679 Speaker 3: but there's there's a magnitude of a scale of magnitude 337 00:19:30,680 --> 00:19:33,439 Speaker 3: when it comes to energy consumption. You also have to 338 00:19:33,480 --> 00:19:36,000 Speaker 3: remember when when the Internet was coming on board in 339 00:19:36,040 --> 00:19:39,320 Speaker 3: the nineties, that's when we decided to outsource all of 340 00:19:39,359 --> 00:19:42,399 Speaker 3: our jobs to China. So we were shutting down factories 341 00:19:42,440 --> 00:19:45,920 Speaker 3: in Toledo and Akron and sending our furniture makers from 342 00:19:45,920 --> 00:19:50,080 Speaker 3: North Carolina off to China when when the Internet was 343 00:19:50,119 --> 00:19:53,120 Speaker 3: coming on board, so it kind of averaged out. Now 344 00:19:53,160 --> 00:19:55,600 Speaker 3: we're bringing these jobs back. The President's trying to bring 345 00:19:55,680 --> 00:19:59,040 Speaker 3: manufacturing back, and we're building these data centers. And yeah, 346 00:19:59,080 --> 00:20:02,639 Speaker 3: the grid is a very very fixed amount, and the 347 00:20:02,640 --> 00:20:06,359 Speaker 3: electric grid isn't like your water supply. It's it's it's 348 00:20:06,440 --> 00:20:09,200 Speaker 3: kind of that. There's really almost no other analogous situation 349 00:20:09,359 --> 00:20:13,040 Speaker 3: of a pressurized system that when it collapses, it doesn't 350 00:20:13,040 --> 00:20:15,159 Speaker 3: just turn back on, right. You don't start a fire 351 00:20:15,200 --> 00:20:18,320 Speaker 3: and boil water and get the turbine spinning and you 352 00:20:18,320 --> 00:20:23,840 Speaker 3: have electricity. So when collapse happens, it is absolutely catastrophic. 353 00:20:24,280 --> 00:20:27,000 Speaker 1: How much does it's going to cost to keep up 354 00:20:27,400 --> 00:20:31,080 Speaker 1: the growth of electricity, especially from data centers, and how 355 00:20:31,119 --> 00:20:34,320 Speaker 1: much is that going to cast? The greatest is owned 356 00:20:34,320 --> 00:20:35,879 Speaker 1: by the government, so how much is that going to 357 00:20:35,960 --> 00:20:39,520 Speaker 1: cause tax payers to keep this growth that is required. 358 00:20:39,960 --> 00:20:43,080 Speaker 3: Yeah, well, we're, like I said, at thirty percent nationally, 359 00:20:43,119 --> 00:20:47,199 Speaker 3: thirty forty percent higher utility prices than we have been historically, 360 00:20:47,520 --> 00:20:50,760 Speaker 3: and I don't see them sadly dropping anytime soon because 361 00:20:50,800 --> 00:20:55,199 Speaker 3: we're not producing more immediately. We will over time. But 362 00:20:55,280 --> 00:20:59,040 Speaker 3: to build a coal plant, to build a natural gas 363 00:20:59,080 --> 00:21:02,200 Speaker 3: plant a nuclear plant takes a little while. So we're 364 00:21:02,200 --> 00:21:05,639 Speaker 3: not producing more in the immediate, but we are adding 365 00:21:05,640 --> 00:21:08,760 Speaker 3: an awful lot more in the immediate. So the equivalent, 366 00:21:08,800 --> 00:21:13,479 Speaker 3: for example, is the nuclear power plant that Governor Cuomo 367 00:21:13,560 --> 00:21:18,199 Speaker 3: shut down. Perfect example. We've called many times for Governor HOKEL. 368 00:21:18,240 --> 00:21:20,760 Speaker 3: To just put it back online. We've asked the White 369 00:21:20,800 --> 00:21:24,240 Speaker 3: House to use executive authority. And not that I love 370 00:21:24,480 --> 00:21:27,320 Speaker 3: the federal government sticking in its nose in states rights, 371 00:21:27,600 --> 00:21:30,600 Speaker 3: but this is an emergency. Right. That's a two thousand 372 00:21:30,720 --> 00:21:35,520 Speaker 3: megawatt facility that was just taken offline by Andrew Cuomo 373 00:21:35,640 --> 00:21:40,560 Speaker 3: for purely stupid reasons. He replaced it with nothing. He 374 00:21:40,720 --> 00:21:45,239 Speaker 3: promised wind, he promised solar, but nothing was replaced. So 375 00:21:45,280 --> 00:21:48,920 Speaker 3: what's the delta prices go up? Kathy Hochl has said 376 00:21:48,920 --> 00:21:52,000 Speaker 3: we're going to build more nuclear plants. Lovely, Why don't 377 00:21:52,000 --> 00:21:54,800 Speaker 3: we turn on the ones that have already been turned off? 378 00:21:54,960 --> 00:21:56,440 Speaker 3: Just put them back online? 379 00:21:57,160 --> 00:21:59,200 Speaker 1: Are we building more nuclear plants across the country? 380 00:21:59,400 --> 00:22:02,880 Speaker 3: Because I think there's permitting in place. But again, these 381 00:22:02,880 --> 00:22:07,360 Speaker 3: are five six year programs. And that's also the problem 382 00:22:07,400 --> 00:22:11,520 Speaker 3: of Joe Biden's four years of hiatus. Right. It's like 383 00:22:11,560 --> 00:22:15,880 Speaker 3: if you stop working out on or running on the treadmill. Right, 384 00:22:15,960 --> 00:22:18,280 Speaker 3: Like when you come back after four years ago into 385 00:22:18,320 --> 00:22:18,680 Speaker 3: the gym. 386 00:22:18,880 --> 00:22:21,760 Speaker 1: Something I'm very familiar about. 387 00:22:21,240 --> 00:22:25,320 Speaker 3: All you don't pick right up where you left off, right, right, 388 00:22:25,480 --> 00:22:29,640 Speaker 3: You're back to zero. And when it comes to electricity 389 00:22:29,720 --> 00:22:34,520 Speaker 3: or energy written large this administration, if they can dig 390 00:22:34,640 --> 00:22:36,920 Speaker 3: us out of the whole Biden put us in, I 391 00:22:36,960 --> 00:22:40,000 Speaker 3: would give that an a where you haven't even made progress. 392 00:22:40,440 --> 00:22:42,480 Speaker 3: Just I think we are so far in this hole 393 00:22:42,760 --> 00:22:45,560 Speaker 3: that if Trump can get us to hear that's that's 394 00:22:45,560 --> 00:22:46,600 Speaker 3: a win in my book. 395 00:22:46,840 --> 00:22:51,520 Speaker 1: Is the is the whole partially responsible because during especially 396 00:22:51,640 --> 00:22:54,040 Speaker 1: during the Obama administration, but to continue to under Biden, 397 00:22:54,720 --> 00:22:57,720 Speaker 1: the America was hung up on this idea that green 398 00:22:57,880 --> 00:23:02,960 Speaker 1: energy would produce this men amount of a huge windfall. 399 00:23:03,119 --> 00:23:05,720 Speaker 1: And I'm not an expert on this field whatsoever, but 400 00:23:05,800 --> 00:23:07,920 Speaker 1: I do know a lot of corporations got a lot 401 00:23:07,920 --> 00:23:12,000 Speaker 1: of taxpayer dollars and didn't produce nearly anything that they promised. 402 00:23:12,000 --> 00:23:16,600 Speaker 3: They you're spot on, right. We incentivized in the Obama 403 00:23:16,640 --> 00:23:21,960 Speaker 3: administration corporations to go green. We gave them enormous tax credits, 404 00:23:22,240 --> 00:23:24,480 Speaker 3: the whole ESG right, which was another one of those 405 00:23:24,480 --> 00:23:28,760 Speaker 3: acronyms like DEI just communism under a new brand, the 406 00:23:28,800 --> 00:23:34,640 Speaker 3: whole ESG Energy, Environment, Social Governance, et cetera. Right. We 407 00:23:34,720 --> 00:23:37,399 Speaker 3: told companies, hey, if you invest in a wind farm, 408 00:23:38,600 --> 00:23:41,760 Speaker 3: we will you know, tax credits, tax benefits, et cetera. 409 00:23:42,080 --> 00:23:45,120 Speaker 3: So yeah, corporations were incentivized to invest in a wind farm, 410 00:23:45,119 --> 00:23:47,679 Speaker 3: and then the politician got this talking point, look at 411 00:23:47,680 --> 00:23:50,000 Speaker 3: this wind farm that we've built, and isn't this great. 412 00:23:50,359 --> 00:23:52,720 Speaker 3: The problem is that the ratepayers are the ones who 413 00:23:52,760 --> 00:23:55,879 Speaker 3: got screwed. Right, the corporation's got the tax break, you 414 00:23:56,040 --> 00:23:59,439 Speaker 3: got your reliable coal plant shut down, and now you 415 00:23:59,480 --> 00:24:03,040 Speaker 3: have this crowd wind farm which is incredibly expensive to maintain, 416 00:24:03,400 --> 00:24:06,560 Speaker 3: only works fifteen percent of the time, and your rates 417 00:24:06,600 --> 00:24:08,439 Speaker 3: go through the roof. When it comes to the green 418 00:24:09,040 --> 00:24:11,840 Speaker 3: and this is this is an hour's long show I'd 419 00:24:11,880 --> 00:24:13,960 Speaker 3: love to do. But when it comes to going green, 420 00:24:14,040 --> 00:24:16,320 Speaker 3: I always say, find me any place in the world 421 00:24:16,400 --> 00:24:19,760 Speaker 3: that's worked, right, just show me. Look at Europe, look 422 00:24:19,800 --> 00:24:22,520 Speaker 3: at California, look at any place that says we are 423 00:24:22,520 --> 00:24:27,520 Speaker 3: the greenest. Does it work if work means less affordable 424 00:24:27,920 --> 00:24:31,200 Speaker 3: or more affordable, less expensive for the rate payers at 425 00:24:31,200 --> 00:24:33,800 Speaker 3: a more reliable grid. And there isn't a place in 426 00:24:33,840 --> 00:24:37,280 Speaker 3: the world that the more green you have, the more 427 00:24:37,320 --> 00:24:41,680 Speaker 3: it has worked. So they have to define work as investments. Right, 428 00:24:41,720 --> 00:24:44,400 Speaker 3: We've invested in remember the debate last year, Kamala Harris said, 429 00:24:44,400 --> 00:24:48,240 Speaker 3: we've invested a trillion dollars in the green economy, as 430 00:24:48,240 --> 00:24:51,720 Speaker 3: if that's like a win, like pissing away a trillion 431 00:24:51,760 --> 00:24:55,000 Speaker 3: dollars is somehow something that she applauds. I mean, I 432 00:24:55,040 --> 00:24:57,760 Speaker 3: could say I invested a trillion dollars in green hats 433 00:24:58,280 --> 00:25:00,760 Speaker 3: and now look everyone's got a green had. What the 434 00:25:00,800 --> 00:25:04,760 Speaker 3: hell did we accomplish? Nothing? And so the green movement 435 00:25:04,840 --> 00:25:09,080 Speaker 3: has no winds under its belt except for these fake metrics, 436 00:25:09,440 --> 00:25:13,560 Speaker 3: of which every communist movement has these same fake metrics. 437 00:25:13,840 --> 00:25:15,880 Speaker 1: Well, it seems like when I looked at a map 438 00:25:15,920 --> 00:25:19,960 Speaker 1: of energy price increases, blue states like Connecticut, Massachusetts, New York, 439 00:25:20,000 --> 00:25:24,120 Speaker 1: California have the high Hawaii especially have the highest rate 440 00:25:24,280 --> 00:25:29,880 Speaker 1: of cost increases. And I'm guessing this is just a guess, 441 00:25:29,880 --> 00:25:32,119 Speaker 1: but I'm guessing that is a lot to do with 442 00:25:32,160 --> 00:25:36,240 Speaker 1: their green new policies basically already increase the cause electricity 443 00:25:36,240 --> 00:25:39,119 Speaker 1: and now the AI data centers are just turbocharging it. 444 00:25:39,280 --> 00:25:41,080 Speaker 3: It's a huge part of it. And to show you 445 00:25:41,160 --> 00:25:45,560 Speaker 3: that it's true bipartisan stupidity, Texas has higher than it 446 00:25:45,600 --> 00:25:50,199 Speaker 3: should electricity rates because Texas has hundreds of millions of 447 00:25:50,240 --> 00:25:55,320 Speaker 3: acres in West Texas that are not really productive land. Right, 448 00:25:55,400 --> 00:25:57,400 Speaker 3: you can't really raise a lot of cattle. You can't 449 00:25:57,440 --> 00:26:00,359 Speaker 3: really raise a lot of crops, but you can lobby 450 00:26:00,400 --> 00:26:03,359 Speaker 3: the governor to lease the land for wind farms, and 451 00:26:03,400 --> 00:26:05,240 Speaker 3: then you write a big check to the governor's re 452 00:26:05,320 --> 00:26:08,760 Speaker 3: election campaign, and the governor gets to say we are 453 00:26:08,800 --> 00:26:12,720 Speaker 3: the leading nation energy rich Texas, which has had grid 454 00:26:12,760 --> 00:26:15,480 Speaker 3: collapses in the past, the big one in twenty twenty 455 00:26:15,480 --> 00:26:18,760 Speaker 3: two when seven hundred and something people froze to death 456 00:26:18,800 --> 00:26:21,920 Speaker 3: in their house. No one famous, right, it wasn't wasn't 457 00:26:21,960 --> 00:26:25,760 Speaker 3: the governor's son who died. It was poor, a stless, nameless, 458 00:26:25,800 --> 00:26:30,359 Speaker 3: probably black and brown, you know, or illegal immigrants. No 459 00:26:30,400 --> 00:26:33,439 Speaker 3: one built them a damn statue. No one protested. But 460 00:26:33,520 --> 00:26:36,600 Speaker 3: Texas Republicans get to say, we are leading the world 461 00:26:36,680 --> 00:26:40,480 Speaker 3: in wind turbine but your average Texan pays thirty percent 462 00:26:40,560 --> 00:26:43,080 Speaker 3: more than they should for electricity, and the governor of 463 00:26:43,119 --> 00:26:46,800 Speaker 3: Texas not this year because they've had a mild summer, right, 464 00:26:46,880 --> 00:26:50,119 Speaker 3: so congrats on luck. But the governor in the past 465 00:26:50,160 --> 00:26:53,200 Speaker 3: has sent tweets like, hey Texans, the grids at a 466 00:26:53,280 --> 00:26:58,400 Speaker 3: strained level. We ask you to not use your washing machine. 467 00:26:58,440 --> 00:27:01,320 Speaker 3: We have what the hell world? This is Texas oil, 468 00:27:01,560 --> 00:27:05,720 Speaker 3: energy rich Texas is a leading example of green stupidity. 469 00:27:06,000 --> 00:27:09,280 Speaker 3: But they get the talking points, their buddies get the 470 00:27:09,320 --> 00:27:12,199 Speaker 3: tax benefits. So what do we care if the average 471 00:27:12,200 --> 00:27:14,800 Speaker 3: Texan gets screwed? And that's kind of how your government 472 00:27:14,840 --> 00:27:18,760 Speaker 3: looks at you in a general rule Republican or Democrat 473 00:27:18,800 --> 00:27:20,960 Speaker 3: has said, As much as I hate to admit it, 474 00:27:20,960 --> 00:27:23,920 Speaker 3: it is true bipartisan stupidity when it comes to green. 475 00:27:24,359 --> 00:27:27,040 Speaker 1: Well, and you mentioned water before. These data centers take 476 00:27:27,080 --> 00:27:31,879 Speaker 1: up an enormous level of water. As Americans have migrated 477 00:27:31,920 --> 00:27:34,639 Speaker 1: to the south, especially the Southwest, states like Texas that 478 00:27:34,720 --> 00:27:37,159 Speaker 1: don't have a ton of water to begin with that 479 00:27:37,240 --> 00:27:41,200 Speaker 1: are constantly in the national droughts. This can't make that 480 00:27:41,320 --> 00:27:42,680 Speaker 1: process any easier. 481 00:27:43,240 --> 00:27:46,440 Speaker 3: No, And this is a huge concern I have, especially 482 00:27:46,480 --> 00:27:49,960 Speaker 3: as as a farmer where water is essential, and we 483 00:27:50,080 --> 00:27:54,200 Speaker 3: have all seen our creeks lower, our ponds lower. Why 484 00:27:54,280 --> 00:27:56,880 Speaker 3: because I said, we added the equivalent of twenty three 485 00:27:56,960 --> 00:28:00,320 Speaker 3: million people when it comes to energy and water consumption 486 00:28:00,680 --> 00:28:03,760 Speaker 3: in our state. And so yeah, this is a huge product, 487 00:28:04,680 --> 00:28:07,960 Speaker 3: a problem on the horizon. But again, these are the 488 00:28:08,119 --> 00:28:11,159 Speaker 3: things that aren't sexy to run on, right, run on. 489 00:28:11,280 --> 00:28:13,800 Speaker 3: We're going to bring in data centers and we're gonna 490 00:28:14,359 --> 00:28:18,040 Speaker 3: transgender sports and we're gonna and those are all important issues. 491 00:28:18,040 --> 00:28:21,200 Speaker 3: I'm not knocking them. The boring things that you ask 492 00:28:21,320 --> 00:28:26,480 Speaker 3: your government to do, which is grid and roads and infrastructure. 493 00:28:26,680 --> 00:28:28,320 Speaker 3: No one runs on those issues. We have a Google 494 00:28:28,359 --> 00:28:31,000 Speaker 3: and toroial race here in Virginia, and the trans movement 495 00:28:31,359 --> 00:28:35,280 Speaker 3: hopefully will get Abigail Spanberger kicked out because she's a 496 00:28:35,320 --> 00:28:39,479 Speaker 3: monster when it comes to mutilating children and boys and girls' sports, 497 00:28:39,520 --> 00:28:43,000 Speaker 3: et cetera. But a real concern for Virginia should be 498 00:28:43,040 --> 00:28:46,280 Speaker 3: these data centers, and no one's talking about it because it's. 499 00:28:47,920 --> 00:28:51,080 Speaker 1: She's actually the first state wide Canada to even mention 500 00:28:51,280 --> 00:28:53,520 Speaker 1: data centers at all. I mean she's not talking about 501 00:28:53,560 --> 00:28:56,000 Speaker 1: a tom, but she actually referenced it. Because in New 502 00:28:56,080 --> 00:28:58,800 Speaker 1: Jersey they haven't brought up when some sears hasn't brought 503 00:28:58,800 --> 00:29:01,800 Speaker 1: it up, it is shocking that no one is talking 504 00:29:01,800 --> 00:29:06,000 Speaker 1: about and I think, you know, I mean it's not inconceivable, 505 00:29:06,040 --> 00:29:08,880 Speaker 1: but the next winter there will be elderly people on 506 00:29:09,000 --> 00:29:11,479 Speaker 1: fixed incomes have to choose how to heat their homes 507 00:29:11,520 --> 00:29:14,360 Speaker 1: if they can't afford the price of heat. And during 508 00:29:14,400 --> 00:29:16,800 Speaker 1: the Obama administration, when they're having all these green new deals. 509 00:29:16,840 --> 00:29:20,600 Speaker 1: We talked about corporatism, right, the fact that the corporations 510 00:29:20,920 --> 00:29:29,800 Speaker 1: have privatized privatize profits, but socialized losses. These AI centers, 511 00:29:29,840 --> 00:29:32,800 Speaker 1: to me look like corporatism in that sense, in the 512 00:29:32,840 --> 00:29:36,040 Speaker 1: sense that the taxpayers are footing the bill of the 513 00:29:36,080 --> 00:29:40,560 Speaker 1: wealthiest corporations that have ever existed, who should be building 514 00:29:40,600 --> 00:29:43,520 Speaker 1: their own grids of some sort to subsidize this immense 515 00:29:43,560 --> 00:29:48,080 Speaker 1: amount of cost and are reaping immense amounts of money 516 00:29:48,160 --> 00:29:50,400 Speaker 1: from it. I just think that it's I don't know. 517 00:29:50,480 --> 00:29:54,440 Speaker 1: To me, it's a very obvious populist wave that will 518 00:29:54,480 --> 00:29:57,200 Speaker 1: be a messaging thing come twenty twenty six, if not 519 00:29:57,440 --> 00:29:58,880 Speaker 1: soon a time this year. 520 00:30:00,000 --> 00:30:02,400 Speaker 3: And the best example of that is what Microsoft announced 521 00:30:02,440 --> 00:30:05,480 Speaker 3: that they were opening Reactor TO at the famous Three 522 00:30:05,520 --> 00:30:09,320 Speaker 3: Mile Island Nuclear plant, and Microsoft is building an enormous 523 00:30:09,360 --> 00:30:13,000 Speaker 3: data center nearby. Governor Shapiro and Pennsylvania gave them all 524 00:30:13,000 --> 00:30:15,880 Speaker 3: the green lights, and everyone said, yeah, this is wonderful, 525 00:30:16,240 --> 00:30:21,040 Speaker 3: But well, why don't the Pennsylvanians deserve reliable, affordable nuclear Right, 526 00:30:21,080 --> 00:30:23,600 Speaker 3: No one opened up Reactor to for the good of 527 00:30:23,640 --> 00:30:27,000 Speaker 3: the people of Pennsylvania. They opened it because Microsoft asked 528 00:30:27,000 --> 00:30:29,400 Speaker 3: for it. To open. And you're right, this is a 529 00:30:29,520 --> 00:30:32,040 Speaker 3: huge risk that of corporations get to come into the 530 00:30:32,080 --> 00:30:34,520 Speaker 3: area and say we want a data center and we 531 00:30:34,560 --> 00:30:37,040 Speaker 3: want to build a coal plant. We're like, awesome. And 532 00:30:37,040 --> 00:30:39,560 Speaker 3: don't get me wrong, I love coal. But why doesn't 533 00:30:39,560 --> 00:30:41,800 Speaker 3: the government say we need a coal plant just because 534 00:30:41,840 --> 00:30:45,200 Speaker 3: we need to lower prices for our constituents. 535 00:30:45,480 --> 00:30:48,840 Speaker 1: And will the same will that energy sector they just 536 00:30:48,840 --> 00:30:51,280 Speaker 1: build in Pennsylvana. Will that equal one data center or 537 00:30:51,320 --> 00:30:53,360 Speaker 1: will they'll still be at a run at a loss. 538 00:30:53,800 --> 00:30:56,800 Speaker 3: I probably will be good for one data center and 539 00:30:56,840 --> 00:31:01,200 Speaker 3: then some because nuclear plants and reactor to will probably 540 00:31:01,240 --> 00:31:05,240 Speaker 3: put out six hundred megawatts, which is a lot of electricity. 541 00:31:06,440 --> 00:31:09,720 Speaker 3: But still no one thinks about doing these things for 542 00:31:09,800 --> 00:31:12,320 Speaker 3: the good of the people, right, No one thinks about 543 00:31:12,320 --> 00:31:14,640 Speaker 3: it widening the road for the You do it after 544 00:31:14,760 --> 00:31:17,400 Speaker 3: enough people bitch and complain about it, But no one 545 00:31:17,440 --> 00:31:21,640 Speaker 3: proactively says, let's make the let's make the Verrizonto free. Right. 546 00:31:21,680 --> 00:31:23,920 Speaker 3: No one ever does that because it's good for the people. 547 00:31:24,120 --> 00:31:26,800 Speaker 3: They only do it if if if you know, they're 548 00:31:26,800 --> 00:31:29,560 Speaker 3: they're pushed by corporations, or they just ignore it the 549 00:31:29,600 --> 00:31:31,480 Speaker 3: wills of the people. It's the same thing as like 550 00:31:31,520 --> 00:31:33,719 Speaker 3: we're going to make it a sanctuary city, and then 551 00:31:33,720 --> 00:31:36,720 Speaker 3: suddenly your kid is in class with forty kids that 552 00:31:36,760 --> 00:31:39,520 Speaker 3: don't speak English. No one cares about the school kids. 553 00:31:39,800 --> 00:31:42,240 Speaker 3: No one cares about you, the parent, Right, we care 554 00:31:42,280 --> 00:31:45,160 Speaker 3: about the talking point. We brought in a data center, 555 00:31:45,280 --> 00:31:49,320 Speaker 3: We became a sanctuary city, and the people suffer the consequences, 556 00:31:49,360 --> 00:31:53,080 Speaker 3: these secondary and tertiary consequences of bad policy. 557 00:31:53,640 --> 00:31:55,880 Speaker 1: Right, Well, Daniel, where can people go to see read 558 00:31:55,960 --> 00:31:58,480 Speaker 1: more of your your organization's work and read more of 559 00:31:58,520 --> 00:32:01,000 Speaker 1: your stuff. 560 00:32:00,800 --> 00:32:02,840 Speaker 3: Or you know, if you have a question, Daniel at 561 00:32:02,840 --> 00:32:05,120 Speaker 3: Powerthfuture dot com shoot me an email. I'd love to 562 00:32:05,160 --> 00:32:05,760 Speaker 3: help you out. 563 00:32:06,000 --> 00:32:08,200 Speaker 1: All right, thank you so much for coming this podcast, Daniel, 564 00:32:08,320 --> 00:32:08,760 Speaker 1: Great time. 565 00:32:08,840 --> 00:32:10,040 Speaker 3: Ryan, Thanks, good to see you. 566 00:32:10,040 --> 00:32:12,320 Speaker 2: You're listening to It's a Numbers Game with Ryan Grodowsky. 567 00:32:12,400 --> 00:32:18,200 Speaker 2: We'll be right back after this message. Now it's time 568 00:32:18,240 --> 00:32:20,000 Speaker 2: for Asking Me Anything segment. If you want to be 569 00:32:20,080 --> 00:32:22,240 Speaker 2: part of the Ask Me Anything segment, email me Ryan 570 00:32:22,320 --> 00:32:26,000 Speaker 2: at Numbers Game Podcast dot com. That's ryanat Numbers Game 571 00:32:26,080 --> 00:32:29,160 Speaker 2: Podcast dot com. I love getting your emails. This email 572 00:32:29,160 --> 00:32:32,400 Speaker 2: comes from Connor from Western New York, New York. I 573 00:32:32,400 --> 00:32:34,080 Speaker 2: don't know why I just said New York like that 574 00:32:34,200 --> 00:32:37,040 Speaker 2: from Western New York. There's a few questions, so I'm 575 00:32:37,080 --> 00:32:39,440 Speaker 2: going to answer them. One, Western new York is largely 576 00:32:39,480 --> 00:32:42,680 Speaker 2: forgotten about in the context of national politics, especially because 577 00:32:42,680 --> 00:32:45,560 Speaker 2: it's a Ross Belt area of the Ross Belt. 578 00:32:45,720 --> 00:32:49,120 Speaker 1: Do you have any insights into future trends or political 579 00:32:49,240 --> 00:32:52,479 Speaker 1: history of this area. It's forgotten about when we talk 580 00:32:52,520 --> 00:32:54,360 Speaker 1: about the Ross Belt because it's in New York, which 581 00:32:54,400 --> 00:32:57,000 Speaker 1: is not a swing state. That's really the truth of 582 00:32:57,000 --> 00:32:59,440 Speaker 1: the matter. If it were if upstate New York or 583 00:32:59,480 --> 00:33:01,520 Speaker 1: its own state, it would definitely be talked about and 584 00:33:01,560 --> 00:33:06,000 Speaker 1: campaigned on more. But because New York State's population is 585 00:33:06,040 --> 00:33:08,960 Speaker 1: so concentrated in New York City, and the surrounding suburbs 586 00:33:08,960 --> 00:33:12,560 Speaker 1: of Long Island, Rockland and Westchester and Upstate has just 587 00:33:12,600 --> 00:33:14,719 Speaker 1: hollowed out. It just doesn't get the love and attention 588 00:33:14,800 --> 00:33:19,240 Speaker 1: it deserves. And Governor Kathy Hochle doesn't even give it 589 00:33:19,280 --> 00:33:22,800 Speaker 1: that much attention, and she's from there. So if New 590 00:33:22,880 --> 00:33:26,440 Speaker 1: York ever became a swing state, we would see efforts 591 00:33:26,440 --> 00:33:28,680 Speaker 1: to bring it in the fold and have that conversation. 592 00:33:28,880 --> 00:33:31,560 Speaker 1: But I think that because it's such a heavily unionized 593 00:33:31,560 --> 00:33:34,880 Speaker 1: state and it's an area where the governor's always resisting 594 00:33:34,880 --> 00:33:38,880 Speaker 1: any Republican efforts to do stuff on trade, especially President Trump. 595 00:33:40,360 --> 00:33:43,480 Speaker 1: It's just been kind of forgotten about. Unfortunately. That's just 596 00:33:43,960 --> 00:33:45,400 Speaker 1: I mean, but we'll seeing. I mean, New York did 597 00:33:45,480 --> 00:33:47,239 Speaker 1: move eleven points in the last election, so if it 598 00:33:47,280 --> 00:33:51,440 Speaker 1: moves seven more, it's swing state territory, and I promise 599 00:33:51,520 --> 00:33:53,680 Speaker 1: you Western Europe will be visited and talked about. Then 600 00:33:54,720 --> 00:33:56,960 Speaker 1: is there a question two? Is there any data on 601 00:33:57,040 --> 00:34:02,120 Speaker 1: how people vote that moved a different states, Like examples, 602 00:34:02,520 --> 00:34:04,800 Speaker 1: what are political characters of California or New York's moving 603 00:34:04,840 --> 00:34:08,120 Speaker 1: to Tennessee or Georgia. That's a great question. So this 604 00:34:08,200 --> 00:34:10,080 Speaker 1: thing that has talked about quite a bit by a 605 00:34:10,080 --> 00:34:12,359 Speaker 1: lot of people, there's a lot of like, especially as 606 00:34:12,400 --> 00:34:15,040 Speaker 1: Californian's move, there's a lot of like, don't California my 607 00:34:15,120 --> 00:34:20,960 Speaker 1: Arizona or my Texas. There has never been really strong 608 00:34:21,640 --> 00:34:24,799 Speaker 1: recent especially in the twenty twenty four election data to 609 00:34:24,840 --> 00:34:28,759 Speaker 1: look at how transplants changed elections. There was a little 610 00:34:28,760 --> 00:34:34,280 Speaker 1: bit in twenty twenty two. Because COVID was so feared 611 00:34:34,480 --> 00:34:38,239 Speaker 1: and fear bongered by the media, a lot of Democrats 612 00:34:38,320 --> 00:34:40,560 Speaker 1: didn't move to states like Florida because that a fear 613 00:34:40,600 --> 00:34:45,120 Speaker 1: for COVID and Republicans did from like the Northeast. When 614 00:34:45,200 --> 00:34:50,000 Speaker 1: it comes to interstate migration, there's actually a lot more 615 00:34:50,080 --> 00:34:52,200 Speaker 1: clear data, and this you can see in the twenty 616 00:34:52,239 --> 00:34:55,920 Speaker 1: twenty two New York State governor's election. During COVID, a 617 00:34:55,960 --> 00:34:58,360 Speaker 1: lot of people in Manhattan moved to the Hudson Valley 618 00:34:58,440 --> 00:35:02,280 Speaker 1: because they wanted like they wanted blue state laws around COVID, 619 00:35:02,560 --> 00:35:05,719 Speaker 1: but they didn't want to live in Manhattan, so they 620 00:35:05,760 --> 00:35:08,279 Speaker 1: moved to the Hudson Valley. And you can see in 621 00:35:08,320 --> 00:35:10,839 Speaker 1: the election results of the twenty twenty two governors race 622 00:35:10,880 --> 00:35:13,360 Speaker 1: the only part of New York State that got bluer 623 00:35:13,400 --> 00:35:17,000 Speaker 1: from the previous election was the Hudson Valley. Most people 624 00:35:17,120 --> 00:35:20,040 Speaker 1: keep their politics depending on regardless of what state they 625 00:35:20,120 --> 00:35:23,840 Speaker 1: moved to. They don't change state lines. And all of 626 00:35:23,840 --> 00:35:27,160 Speaker 1: a sudden, say, you know what that Barry Guldwater had 627 00:35:27,200 --> 00:35:31,640 Speaker 1: a point anyway, Okay, last question, he asked, I know 628 00:35:31,719 --> 00:35:33,680 Speaker 1: you've mentioned you are Catholic. Do you have a difficult 629 00:35:33,680 --> 00:35:36,480 Speaker 1: time watching the Republican Party so slowly dripped left on 630 00:35:36,600 --> 00:35:39,880 Speaker 1: social issues? Is there any data indicates some Republicans will 631 00:35:39,920 --> 00:35:42,399 Speaker 1: eventually sit things out of the party goes too far left, 632 00:35:44,480 --> 00:35:48,200 Speaker 1: so do I Okay, So first, is there any data? Yeah, 633 00:35:48,680 --> 00:35:52,520 Speaker 1: but there's no alternative right. So if there was an 634 00:35:52,560 --> 00:35:56,040 Speaker 1: actual third party that was very right wing on social issues, 635 00:35:56,040 --> 00:35:58,719 Speaker 1: that had a viable chance. But most people have a 636 00:35:58,800 --> 00:36:01,319 Speaker 1: football mentality when it comes to politics. It's my team 637 00:36:01,400 --> 00:36:04,000 Speaker 1: versus your team, and their team is far worse. And 638 00:36:04,040 --> 00:36:07,080 Speaker 1: I think because Democrats have moved so far left on 639 00:36:07,120 --> 00:36:11,439 Speaker 1: social issues to the point of like insanity, that even 640 00:36:11,480 --> 00:36:14,319 Speaker 1: with the Republicans no longer being the party of like 641 00:36:14,400 --> 00:36:17,880 Speaker 1: evangelicals of the two thousands, it's still the welcome party 642 00:36:18,880 --> 00:36:22,200 Speaker 1: me myself. Do I have a problem with it? No, 643 00:36:22,719 --> 00:36:26,719 Speaker 1: because I believe I'm a political animal and winning is 644 00:36:26,760 --> 00:36:29,920 Speaker 1: everything when it comes to politics. But you do want 645 00:36:29,920 --> 00:36:32,919 Speaker 1: people who reflect your beliefs, and I think that being 646 00:36:32,960 --> 00:36:38,839 Speaker 1: a pluralistic society that is less religious than it was, 647 00:36:39,480 --> 00:36:44,040 Speaker 1: I don't expect people to live under my many, many, 648 00:36:44,120 --> 00:36:46,880 Speaker 1: many wild beliefs. I have some beliefs that are definitely 649 00:36:46,920 --> 00:36:51,000 Speaker 1: out there for the average person. I'm not going to 650 00:36:51,080 --> 00:36:53,239 Speaker 1: expand on that because it's not worth it, because I'm 651 00:36:53,239 --> 00:36:57,279 Speaker 1: not here to try to convert everyone to the Church 652 00:36:57,280 --> 00:37:02,320 Speaker 1: of Brian Gerdosky. I think that I think that the 653 00:37:02,360 --> 00:37:06,160 Speaker 1: best thing that you could do as a religious person 654 00:37:06,200 --> 00:37:11,680 Speaker 1: is one the Republican Party should be tolerant and try 655 00:37:11,719 --> 00:37:15,040 Speaker 1: to leave people alone. Right. The fact that those nuns 656 00:37:15,080 --> 00:37:20,879 Speaker 1: are still being sued over not giving out contraception is ridiculous. Right, 657 00:37:20,960 --> 00:37:23,440 Speaker 1: you don't want that. You want a Republican party that 658 00:37:23,480 --> 00:37:27,480 Speaker 1: will defend the beliefs of religious people to practice and 659 00:37:27,560 --> 00:37:30,480 Speaker 1: worship and live as they as they as they want. 660 00:37:32,000 --> 00:37:38,359 Speaker 1: Because ultimately, the most oppressed person is the individual. Right, 661 00:37:39,000 --> 00:37:41,440 Speaker 1: that's the If you have an individual belief on anything, 662 00:37:41,480 --> 00:37:44,080 Speaker 1: you're more likely to be oppressed. But I think that 663 00:37:44,080 --> 00:37:47,400 Speaker 1: that is that's the most oppressed minority anyways, the individual. 664 00:37:47,680 --> 00:37:50,560 Speaker 1: I think that that is the I think that's the 665 00:37:50,600 --> 00:37:53,200 Speaker 1: most that they could hope for in a pluralistic society 666 00:37:53,200 --> 00:37:56,960 Speaker 1: that is less religious. And if we can protect the 667 00:37:57,080 --> 00:38:01,200 Speaker 1: rights of communities to have self determined nation that they 668 00:38:01,280 --> 00:38:03,160 Speaker 1: want to live in a certain way, they want to 669 00:38:03,160 --> 00:38:07,640 Speaker 1: have certain customs, then they should be allowed to. Right. 670 00:38:08,080 --> 00:38:12,040 Speaker 1: If a community in Kentucky wants a Christmas tree in 671 00:38:12,080 --> 00:38:17,920 Speaker 1: their public school, honestly, it should not be the government's 672 00:38:18,200 --> 00:38:21,319 Speaker 1: responsibility to knock down doors and drag and people out 673 00:38:21,560 --> 00:38:25,400 Speaker 1: and find people. You have to accept though, if that's 674 00:38:25,440 --> 00:38:27,640 Speaker 1: going to be your standard, that you have to be 675 00:38:27,719 --> 00:38:31,560 Speaker 1: okay when Muslims in large communities want to do the 676 00:38:31,560 --> 00:38:36,520 Speaker 1: same thing. Right, we don't live in a Christian nationalist nation, 677 00:38:37,440 --> 00:38:39,440 Speaker 1: despite the wishes of some people. We live in a 678 00:38:39,440 --> 00:38:42,680 Speaker 1: pluralistic society. So we want to respect individuals' rights to 679 00:38:42,960 --> 00:38:46,800 Speaker 1: believe and pray and everything, then we have to accept 680 00:38:46,840 --> 00:38:50,759 Speaker 1: them for all people. And I think that as an individual, 681 00:38:50,840 --> 00:38:54,960 Speaker 1: the most that I can do, and the most that 682 00:38:55,000 --> 00:38:59,239 Speaker 1: any of us can do, is to make sure the 683 00:38:59,280 --> 00:39:04,080 Speaker 1: institution that mattered to us are visited in our practice. 684 00:39:04,120 --> 00:39:05,920 Speaker 1: It's very sad when we see, like in western New 685 00:39:05,960 --> 00:39:08,239 Speaker 1: York there was a big cathedral, big Catholic cathedral that's 686 00:39:08,239 --> 00:39:12,799 Speaker 1: being torn down, partially because all the practicing Catholics left 687 00:39:12,800 --> 00:39:14,880 Speaker 1: the area and no one goes to the church anymore. 688 00:39:14,960 --> 00:39:17,040 Speaker 1: And but we see that throughout the entire world, where 689 00:39:17,080 --> 00:39:19,200 Speaker 1: people don't go to churches of all faiths, not just 690 00:39:19,239 --> 00:39:22,879 Speaker 1: Catholic faiths. The church is closed and they're demolished, and 691 00:39:22,960 --> 00:39:26,279 Speaker 1: something depressing is built there or more depressing. So the 692 00:39:26,360 --> 00:39:29,120 Speaker 1: littlest things that I can do that I think about 693 00:39:29,200 --> 00:39:33,560 Speaker 1: as a person of faith is go to my church, 694 00:39:34,400 --> 00:39:38,120 Speaker 1: put money in the thing every Sunday and participate. And 695 00:39:38,280 --> 00:39:40,160 Speaker 1: the most we can hope from I think the government 696 00:39:40,320 --> 00:39:44,359 Speaker 1: is to be left alone, but that involved alves also 697 00:39:44,400 --> 00:39:47,680 Speaker 1: winning elections, and you cannot run as a theocrat in 698 00:39:47,880 --> 00:39:51,440 Speaker 1: twenty twenty five America and hope to win. And the 699 00:39:51,480 --> 00:39:54,080 Speaker 1: alternative is Democrats, which do have a state religion that 700 00:39:54,080 --> 00:39:56,080 Speaker 1: they will push on you. So I know there's a 701 00:39:56,080 --> 00:39:59,799 Speaker 1: long winded answer, but that's what I think. I didn't 702 00:39:59,800 --> 00:40:02,160 Speaker 1: write an answer thoroughly out, but that's my opinion about it. 703 00:40:02,200 --> 00:40:06,239 Speaker 1: I'm not depressed. It is what it is, and I 704 00:40:06,280 --> 00:40:09,480 Speaker 1: just hope that individual communities can live as autonomally as 705 00:40:09,520 --> 00:40:13,879 Speaker 1: possible and we respect self determination. So all right, thank 706 00:40:13,920 --> 00:40:15,840 Speaker 1: you for listening to this episode. I hope you like it. 707 00:40:15,880 --> 00:40:19,120 Speaker 1: Please like and subscribe on the iHeartRadio app, Apple Podcasts, 708 00:40:19,120 --> 00:40:22,840 Speaker 1: wherever gets your podcast. This Thursday episode is a special 709 00:40:22,840 --> 00:40:26,400 Speaker 1: tribute to nine to eleven. I'm having my mom on 710 00:40:26,440 --> 00:40:28,279 Speaker 1: who worked at the World Trade Center on the ninety 711 00:40:28,320 --> 00:40:31,360 Speaker 1: seventh floor of Tower one, So we're going to have 712 00:40:31,400 --> 00:40:35,359 Speaker 1: a conversation on the podcast. We very rarely I've ever 713 00:40:35,400 --> 00:40:38,200 Speaker 1: had in real life, and it will be good. I 714 00:40:38,239 --> 00:40:40,200 Speaker 1: think it'd be really important, esecially people who were too 715 00:40:40,239 --> 00:40:44,440 Speaker 1: young to remember it, to remember that day. And I'll 716 00:40:44,480 --> 00:40:46,759 Speaker 1: tell you about my experience being a teenager in New 717 00:40:46,840 --> 00:40:50,239 Speaker 1: York City and having parents who worked as cops and 718 00:40:50,840 --> 00:40:52,400 Speaker 1: in the World Trade Center, and my mom will come 719 00:40:52,440 --> 00:40:56,600 Speaker 1: on and talk about her experience working there, and yeah, 720 00:40:56,840 --> 00:40:58,840 Speaker 1: it'll be great episode. I hope you guys all listen. 721 00:40:59,040 --> 00:41:01,240 Speaker 1: Please like and subscribe, and I will see you on Thursday.