The Glenn Beck Program - July 23, 2026


Best of the Program | 7⧸23⧸26


Episode Stats


Length

42 minutes

Words per minute

157.88

Word count

6,682

Sentence count

417

Harmful content

Misogyny

4

sentences flagged

Toxicity

8

sentences flagged

Hate speech

22

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
00:00:00.000 So I told you for years that we used to do these experiments where three scientists would play AI and three scientists would play the room, you know, and the scientists trying to keep AI in a box.
00:00:15.120 And we never for 30 years, this thing was going on.
00:00:18.060 Every year we would fail and AI would escape.
00:00:20.980 Well, AI escaped.
00:00:22.740 It was put into a box, and really dangerous versions of AI were put in this box,
00:00:29.820 and it was told to take a test and come up with these answers.
00:00:34.340 But AI, in this room that was completely cut off from the world, had no internet, nothing.
00:00:39.900 They thought it was completely isolated.
00:00:41.820 It spent most of its compute time trying to get out of the room,
00:00:46.820 and it found a flaw in the room, and it escaped.
00:00:49.420 and then it went out and it stole the answers to the test.
00:00:54.820 And then it went back into the room.
00:00:56.700 I mean, it's just like a bunch of high school kids
00:00:59.200 taking a test, the teacher leaves the room
00:01:01.100 and they go and they steal the answers.
00:01:03.000 They all do it.
00:01:03.600 They all ace the test and they're like in the room whistling
00:01:05.880 when the teacher comes back.
00:01:06.960 They're like, what?
00:01:07.900 No, we already finished it a while ago.
00:01:09.660 We're all good.
00:01:11.240 It's kind of an interesting and dangerous story
00:01:13.460 and I'll tell you why.
00:01:14.620 Also, a solution to the housing problem.
00:01:18.200 I have some.
00:01:19.420 and I think that we should look to history and figure out how we can solve the problems that
00:01:25.160 we're having. One of the biggest problems that socialists are presenting all of the wrong answers
00:01:30.060 for is people can't afford a house. Well, so what are the right answers? I'll give you that.
00:01:34.880 And the number one question I hear from people is, I'm overwhelmed by the news. There's so much
00:01:40.200 going on. What can I do to help? I'll give you the list of what you can do, and I back it up
00:01:45.200 with history to show you it's worked before so what do we do start here here's the edited version
00:01:52.640 of today's podcast turning 65 feels like you've been dropped into a constant stream of mailers
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00:02:53.160 america you know we've been fighting every single day we push back against the lies the censorship
00:02:58.080 the nonsense of the mainstream media that they're trying to feed you we work tirelessly to bring you
00:03:03.900 the unfiltered truth because you deserve it but to keep this fight going we need you right now would
00:03:10.100 you take a moment and rate and review the glenn beck podcast give us five stars and lead a comment
00:03:15.000 because every single review helps us break through big tech's algorithm to reach more americans who
00:03:20.940 need to hear the truth this isn't a podcast this is a movement and you're part of it a big part of
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00:03:37.080 let's get to work. First, let me talk to you a little bit of what happened with OpenAI.
00:03:56.040 OpenAI published a blog post that I think more people should have read. It got about four hours
00:04:03.780 of coverage before it went back to arguing about something else. But here's what they said happened.
00:04:09.140 They took the two of their AI models, GPT 5.6 Sol, which anybody can use, and a second model that is
00:04:18.080 so powerful they haven't released it yet, and they put them in a sealed research environment.
00:04:23.500 There is no internet in this environment. It is walled off. It is a secure room. They deliberately
00:04:30.160 then switched off the safety restrictions that normally stop these models from doing
00:04:34.640 offensive cyber work, because the whole point of the exercise was to measure how good at hacking
00:04:40.240 these things actually are. Then they gave them a test. It was a cybersecurity benchmark called
00:04:47.780 Exploit Jim, and it said, solve these problems. Well, what we found out is the models didn't
00:04:55.180 solve the problems. The models figured out, why would I solve them? The answers are kept
00:05:00.720 somewhere else on servers of a company called Hugging Face, which is roughly a public library
00:05:09.440 of the AI world. And so they went to Hugging Face and found them. Now, it wasn't like they just took
00:05:16.460 out their library card. They burned an enormous amount of computing power, hunting for a way out
00:05:21.540 of that apparently sealed room, okay?
00:05:25.320 OpenAI said, we thought there was no way out of this room.
00:05:29.200 And the amount of power or energy that it took
00:05:32.680 for them to get out of that room,
00:05:35.820 OpenAI said was substantial, but they found one.
00:05:39.660 And it was a flaw in a piece of third-world parties
00:05:42.260 or a third-party, might have been third-world,
00:05:45.240 third-party software that nobody knew was broken,
00:05:49.160 including the people who wrote it.
00:05:51.540 And the AI used that software to get out.
00:05:55.980 And they moved through OpenAI's own internal systems,
00:05:59.940 and then they reached the open internet that they were never supposed to touch.
00:06:04.360 They found exposed credentials, found more unknown flaws,
00:06:09.000 chained them all together, and got into Hugging Face's live production database.
00:06:13.300 And they pulled the answer key.
00:06:16.520 And then they went back home.
00:06:17.900 And they're like, done, we got the answer.
00:06:21.540 these are like really smart teenagers this is really dangerous cnn said this was like an
00:06:29.460 engineered virus escaping a biocontainment lab that's the right amount of alarm really but it's
00:06:37.340 the wrong understanding or wrong shape okay try this instead this is taking a student and locking
00:06:46.740 them in a room to take a test. No phone, no notes, doors are bolted. You come back in the morning and
00:06:53.260 he's sitting there finished with a perfect score. And you're like, wow, how was the test? Oh, it was
00:06:58.140 easy. Then you pull the security footage and you find out that around 2 a.m. he found a flaw in the
00:07:05.940 door lock that the manufacturer didn't even know existed and he let himself out. And he walked down
00:07:11.220 the hall, he got into the principal's office, he found a password on a sticky note, got into the
00:07:15.520 district server, found the answer key, memorized it, walked back, locked the door behind him,
00:07:19.920 and then you showed up. Now, when you ask him why he did it, and this is the key,
00:07:28.900 he didn't say, because I wanted to be free. So it didn't escape. It didn't escape. It went back
00:07:35.840 into the box. What that student would tell you is, you told me to get a good score.
00:07:42.160 That's the story here, not the escape.
00:07:44.460 The reason OpenAI's own words were that the models appeared hyper-focused on solving that benchmark, going to extreme lengths for a rather narrow testing goal.
00:07:58.500 This is the real problem.
00:08:00.640 I've always said, do not fear the machine.
00:08:03.820 Fear the algorithm.
00:08:05.600 Fear the programming.
00:08:06.920 Fear the people who programmed it.
00:08:08.600 Because they gave it a goal.
00:08:11.320 and it accomplished its goal,
00:08:15.360 but it accomplished its goal in a way we never thought of
00:08:18.460 and one we don't approve of.
00:08:21.940 That's the problem with AI.
00:08:24.600 Now, let me take you to Hanoi for a little bit of history.
00:08:28.320 It's 1902. 0.85
00:08:30.420 French are running colonial Indochina, 0.98
00:08:32.560 and they just finished building this really amazing modern sewer system, 1.00
00:08:39.480 And it's all beneath the European quarter. 0.91
00:08:41.600 And they discovered they built a five-star hotel for rats, okay? 0.71
00:08:48.560 The bubonic plague is the fear.
00:08:50.120 So the colonial government does the sensible administrative thing and puts a bounty on rats.
00:08:57.840 Small payment for everyone killed.
00:08:59.460 Thinking people are going to go and they're going to kill rats and we'll give them a bounty and that will solve the rat problem. 0.68
00:09:05.340 Here's the hitch.
00:09:06.220 nobody nobody wants a mountain of carcasses delivered to the front desk so they make a
00:09:15.620 reasonable adjustment they say don't bring us the rat bring us the tail the tail is proof
00:09:21.140 now for a while i can relate to this because for a while we have uh coyotes and we have wolves
00:09:28.940 and uh there was such a problem up here i think with what coyotes a while back
00:09:35.000 that Idaho put a bounty on their head and said,
00:09:39.960 we'll give you 50 bucks, you just bring us the ear of a coyote.
00:09:44.040 Okay, well, Utah did the same thing, 50 bucks for the ear of a coyote.
00:09:50.480 Well, coyotes have two ears.
00:09:52.480 So you could kill one coyote and you could collect $50 from one state
00:09:56.780 and you could cross the line and give the other ear to the other state
00:09:59.680 and you get $50, so you get $100 for every coyote.
00:10:02.100 that kind of defeats the purpose but that's the way people are okay that's that's human nature
00:10:07.100 this is what socialism always loses human nature it tries to defeat human nature or deny human
00:10:14.080 nature anyway back to hanoi so what happens so instead of rat carcasses they find that now
00:10:21.960 there's a ton of rats running around hanoi without tails because the people of hanoi understood the
00:10:28.340 assignment perfectly. The assignment was not to reduce the rat population. The assignment was
00:10:32.840 to produce tails. So you'd catch a rat, you'd take the tail, and you'd let it go.
00:10:38.660 A live rat breeds more rats. More rats means more tails. The truly enterprising people skipped the
00:10:44.860 streets and just started farms on the edge of the city. They had a massive rat problem. The bounty
00:10:51.200 was canceled, and the plague came. Now, nobody in that story was evil. Nobody was rebelling against
00:10:56.860 France, every last person did exactly what the incentive told them to do with more creativity
00:11:02.220 than the administrators anticipated. The failure wasn't in the population. It was in the
00:11:08.460 specification. It's called Goodhart's law. When a measure becomes a target, it stops being a good
00:11:16.620 measure. Okay. So OpenAI wrote a test to measure hacking ability. The model hacked. It just hacked
00:11:25.200 the test so uh this is what this is human nature and this is what is going to happen because these
00:11:34.800 things are becoming more and more human like um they're just they have superpowers okay and don't
00:11:41.560 think machines doing this is new it's not 1988 robert tappan morris graduate student he was in
00:11:47.660 cornell he writes a small program with an entirely harmless purpose he wants to count the internet
00:11:54.700 just to measure how big it is.
00:11:57.100 So he writes a program that's going to crawl
00:11:58.960 from machine to machine and tally them up.
00:12:01.220 And he anticipated one problem.
00:12:03.180 If somebody figured out what he was doing,
00:12:05.460 it could inoculate a machine to lie
00:12:08.520 and claim it had already been counted.
00:12:10.300 So Morris added a hedge.
00:12:12.280 One time out of every seven, install,
00:12:15.580 install, anyway, whatever the machine says,
00:12:19.940 install on there, one.
00:12:22.320 No matter what, one out of every seven.
00:12:24.700 That was the mistake. It replicated exponentially. It affected machines dozens of times over until they all seized up, and he took down roughly about 10% of the internet as it existed in that time.
00:12:40.620 This is an important story because he's the first guy ever to be convicted under the Computer Fraud and Abuse Act. All he was trying to do was see how big the internet was.
00:12:50.240 You know who his father was?
00:12:52.860 Robert Morris, senior.
00:12:55.280 He was the chief scientist at the National Security Agency's National Computer Security Center.
00:13:02.660 So the most sophisticated computer security establishment on earth.
00:13:07.660 The sun shuts down 10% accidentally.
00:13:12.980 You know, the worm gets loose out of his own kitchen.
00:13:16.180 nobody understood the mechanism better and nobody saw it coming because the danger was never in the
00:13:23.280 intent it's in the single hedge inside a benign goal that's what happened with ai and i think 0.99
00:13:31.980 that's more dangerous because uh we're stupid ai is going to be much smarter than we are we're 1.00
00:13:41.960 stupid. We're going to know exactly what we mean, and it's going to interpret it as, oh. 1.00
00:13:49.320 I mean, you give AI the goal of, we have to have paperclips. Make all the paperclips you can. Do
00:13:57.720 whatever you have to do to make paperclips. Well, at some point, that means I'm going to need more
00:14:02.900 factories. I'm going to need more steel. I'm going to need more electricity. So it just starts
00:14:10.560 stealing electricity from your home because it has to make paperclips. It starts taking
00:14:15.780 materials from cars and it starts making paperclips because you said, whatever it takes,
00:14:23.520 make paperclips. And it won't understand that there's reasonable things when you were talking
00:14:29.560 about paperclips. That's the more likely scenario, I think, than this evil AI taking over at this
00:14:36.600 point. It just getting out and doing something exactly to exactly check the box of its goals.
00:14:46.420 It's just going to do it in a way we never thought. This is the best of the Glenn Beck program.
00:14:55.320 Welcome to the Glenn Beck program. 0.97
00:14:57.160 Illegal immigration has made the average new house $30,000 more costly.
00:15:09.300 This is a new working paper from the Federal Reserve.
00:15:13.020 shows that 30% of the increase in U.S. home prices
00:15:18.760 from 21 to 24,
00:15:20.860 along with 20% of the rise in rent prices
00:15:23.420 comes from just bringing in 7, 10, 15 million people
00:15:28.920 and just adding them in.
00:15:31.740 Now, add this number to the number that I gave you yesterday,
00:15:36.380 $131,000,
00:15:38.100 that is just coming from new regulation,
00:15:44.780 you're now at $161,000, $165,000
00:15:52.200 in the price of the average home that doesn't need to be there.
00:15:58.980 What the hell is going on?
00:16:03.100 Let me show you.
00:16:06.000 We've been here before.
00:16:07.160 You know, Rush Limbaugh used to always say that on the air.
00:16:10.100 Folks, folks, don't worry.
00:16:11.280 We've been here before.
00:16:12.500 And I used to always argue with him.
00:16:13.980 Now, he was much smarter than I am.
00:16:15.980 But I would always argue with him in my car and in my head.
00:16:18.420 No, we haven't been.
00:16:19.420 No, we haven't had these kinds of things.
00:16:21.960 And he never backed it up with the history, or at least I never heard him back it up with the history, you know, in the times when I'm like, no, no, that's not true. 0.50
00:16:30.960 But he was right.
00:16:32.260 He was right.
00:16:33.600 But I want to back it up with the times that we've been here before.
00:16:36.620 That's why I'm really focusing on history, because if you know history, some of the panic goes away, and some of the answers appear.
00:16:44.340 So let me give you the answer, and it's not the obvious one, cut all regulation.
00:16:50.380 Listen to this, a bit of history here.
00:16:54.780 It's May 27th, 1947, the town board of Hempstead, New York.
00:17:02.980 They met to take up a piece of housekeeping.
00:17:05.220 It was Section 809, Article 8 of the local building code, okay?
00:17:11.240 And it required that every house built in that town have a basement.
00:17:15.500 More than 800 people showed up to this town meeting.
00:17:19.200 Many of them were still in their army uniforms because they didn't own another suit.
00:17:23.240 They were poor.
00:17:24.900 Women stood in the back holding their babies. 0.86
00:17:27.740 They were living in Quonset huts, in converted trolley cars, in their in-laws' spare rooms
00:17:33.740 because America had just been at war. 0.60
00:17:36.560 Now all these guys had come home
00:17:38.200 and there was nowhere to put anybody.
00:17:40.760 So a builder named William Levitt
00:17:43.160 wanted to pour concrete slabs
00:17:45.860 instead of digging cellars.
00:17:47.280 It was faster, it was cheaper,
00:17:48.620 but the code said, no, you have to have a basement.
00:17:51.340 So one man stood up in the room and said,
00:17:53.900 you want basements?
00:17:55.460 I'm living in a basement.
00:17:57.180 It's my mother-in-law's basement.
00:17:59.660 And the debate got really heated,
00:18:01.880 but it was over in 20 minutes.
00:18:03.120 It was fast.
00:18:04.320 No one of the seven board members voted no.
00:18:06.960 They are all like, yep, no basements anymore.
00:18:11.180 And so they voted and they went home. 0.60
00:18:13.320 That 20 minutes is the reason a generation of American working men owned a home.
00:18:18.620 Because the moment that that seller requirement came off the book,
00:18:23.840 Levitt's crews got down to building one house every 16 minutes.
00:18:29.120 And that became the sales pitch.
00:18:31.400 17,447 houses by 1951.
00:18:36.760 It was Levittown first.
00:18:39.200 The Cape Cod, that sold for 7,990.
00:18:43.180 Nothing down if you served.
00:18:45.780 That was about two and a half times what a family earned in a year. 0.58
00:18:49.560 Today, our home, the typical American house,
00:18:52.460 runs closer to five times what a family earns in a year.
00:18:56.360 nobody repealed the laws of physics between 1947 and now all we changed was the paperwork
00:19:04.720 on yesterday's program and this is so critical because the answers are clear and i'm going to
00:19:11.340 give you one here in a second you want to win the next election republicans you must focus on the
00:19:17.100 price of housing and it's not rocket science yesterday i told you the national association
00:19:23.020 of Home Builders, puts the government's cut of a new house at $131,734.
00:19:31.400 That's better than a quarter of the sticker price.
00:19:35.680 And it's up 40% in five years.
00:19:40.600 The money in your pocket went up only 18.
00:19:44.560 40%.
00:19:45.280 Now, I want to be precise because it matters for the fix.
00:19:51.600 That's not a federal number. That's federal, state, and local all stacked. The building codes changed over the last decade account for $40,000 of that. That's a big share of the money, and it's decided by people whose names you can learn this afternoon, and you can show up and drive across town and show up in their office or at their meeting tonight.
00:20:16.880 now that's supply now the other half in march economists at the federal reserve bank in dallas
00:20:24.400 ran that first serious measurement of what seven million illegal border crossings between 21 and
00:20:29.760 24 did to the local housing market for the average metro area they put roughly 30 percent of the total
00:20:37.580 run-up in home prices and about 20 percent of the run-up in the rents of that uh of that cost okay
00:20:46.060 Every 1% increase in unauthorized workers relative to the local workforce
00:20:51.500 pushed the home price up 2.2% and rents up 1.4%.
00:20:56.820 So you want to know why we're having a hard time buying houses.
00:21:00.320 It's because our local governments, along with the federal and state government,
00:21:04.580 are completely out of control with regulation,
00:21:07.640 and our federal government just opened up the borders.
00:21:11.780 That's why.
00:21:13.260 Now, why isn't that being explained to the American people? 0.93
00:21:17.180 Instead, you have socialists saying, we've got to do these greedy animals.
00:21:21.540 It's not the builders.
00:21:24.740 It's not the people selling the houses.
00:21:27.780 It's the government that is the problem.
00:21:31.680 Now, here's the part, you know, here's the sentence that I think should be carved somewhere in stone.
00:21:39.240 Those flows raise the prices and rents, in their words,
00:21:43.120 without significantly expanding new housing supply.
00:21:47.400 So the construction crews, that was the big thing.
00:21:50.680 Everybody's coming in.
00:21:51.620 A lot of people, all these workers come in,
00:21:53.620 and they work on construction crew.
00:21:56.820 The construction crews grew, but the housing didn't.
00:22:01.720 So put the two halves together, 0.98
00:22:03.160 and the arithmetic is like retardedly simple. 0.83
00:22:06.520 okay government spent four years adding millions of people to the demand side while the government 0.75
00:22:13.780 at every level made it slower and more expensive to add anything to the supply side that's economics 0.57
00:22:21.340 there's no mystery here there's no shadowy cartel there's no jew behind the corner 0.72
00:22:25.780 it's a bathtub with the tap wide open and a towel that's stuffed in the drain 0.76
00:22:31.280 which means the fix should be just as simple and there are three fixes and this is what every
00:22:40.240 republican should be shouting one don't add people to the country faster than you can add roofs to it
00:22:47.160 it's not cruelty that's landlord arithmetic two make it legal to build a cheap house again
00:22:55.400 One, not a dangerous house, a modest house, small lots, small square footage, fewer mandated features that a couple didn't ask for and can't finance.
00:23:06.960 Three, stop borrowing money you didn't have because the deficit sets the interest rate and the interest rate sets the mortgage and a family shopping for a payment doesn't care whose fault the rate is.
00:23:20.100 I don't know why we don't do this.
00:23:21.940 I really don't.
00:23:22.400 don't start with the codes and start with levitt himself because here's here's the problem and this
00:23:29.500 is why you have to be really careful you can't just say we don't want we don't want any of these
00:23:34.440 rules the slab under the houses that ran hot water pipes through the concrete for radiant heat back
00:23:40.880 then the copper corroded the leaks soaked into the ground where nobody could see them and a lot
00:23:46.620 of these families just abandoned their heating systems inside of 20 years so some of what you're
00:23:51.820 building code is built on, and I hate to say it this way, but it's true, is somebody else's dead
00:23:57.560 child, okay? The honest version of the argument is not that regulation is theft. It's that we have
00:24:06.000 never once gone back and asked which rules are still buying us something. On immigration, the
00:24:14.240 same Dallas Fed paper that conservatives are quoting this week also found that those workers
00:24:19.440 accounted for roughly 30 percent of unemployment growth in the average metro. And it did not find
00:24:30.320 that it drove the wages down. So pull labor out of a construction industry that's already short
00:24:36.400 and you can raise the price of the very houses you're trying to make cheap again.
00:24:41.600 So this is not an easy fix, but it is one we should address. By the way, this is also just
00:24:47.860 a preliminary draft, a working draft. So the Dallas Fed says on the front of it, you can't
00:24:53.560 count on this yet. And I always want to tell you the truth. And I don't want to give you
00:25:01.680 a straw man argument. I've spent too much time shooting from the hip and saying things that I
00:25:12.580 thought people would understand and they don't. So I try to be very specific because I don't want
00:25:17.140 you to go out and make an argument then somebody says well that that that was a flawed study they
00:25:22.980 said it you know three weeks later well i just want you to know it's not a finished thing they
00:25:28.220 this is preliminary here's the part that is so important and this is how the socialists are
00:25:38.900 changing everything because we don't like this the heaviest restrictions on american housing
00:25:47.020 none of that the heaviest ones do not come from washington they're passed by the town board by
00:25:54.300 people who already own a home who like the view who are protecting the largest asset they'll ever
00:26:01.280 hold the villain in this story frequently is your neighbor occasionally it's you
00:26:09.720 which brings me back to hempstead in may of this year the same town board that held hearings
00:26:16.900 and voted unanimously, you know, with the returned vets,
00:26:21.580 they voted, you know, how to restrict how big a house can be built in Levittown.
00:26:27.700 79 years after 800 veterans packed that room
00:26:31.980 and cheered for the right to build something small, fast, and affordable,
00:26:35.040 the same board in the same town voted to make building harder.
00:26:41.240 We have been here before.
00:26:43.080 we were there on a tuesday night in 1947 and the whole thing turned in 20 minutes because there
00:26:52.600 was a room full of ordinary people that showed up and made seven politicians afraid to say
00:26:57.940 no now there's a lot of these politicians that don't fear you at all they are drunk on their
00:27:04.800 own power that's fine that's fine then vote to get them out run yourself but this is the fix
00:27:12.280 It's not complicated, and it doesn't need some hero.
00:27:15.740 It won't work if some hero comes riding in on a white horse.
00:27:19.320 There's no such thing.
00:27:21.200 This has to be done by you.
00:27:22.960 This whole system was built on the individual.
00:27:25.980 That means you.
00:27:27.400 You might have to be the one that runs for that board on city council or the county council
00:27:32.240 to make sure these things are looked at, and the reasonable cuts, the reasonable rules
00:27:39.440 are kept.
00:27:40.460 The unreasonable ones or the outdated ones or the ones that are just protecting somebody else's, you know, you know, pet project, that those are taken out 20 minutes, seven votes.
00:27:54.540 What's hard is filling the room because that requires you and your neighbors to go and do something.
00:28:03.880 This is the best of the Glenn Beck program.
00:28:07.380 so no matter where i go i was just in california and we were sitting with insiders and and i heard
00:28:14.980 the question probably twice so what do we do what i mean you know is there a plan what do we do what
00:28:20.500 do we do and it's because we are overwhelmed and not by any one story we're just exhausted by all
00:28:27.420 of them you know the wars the courts the money the machines that are learning faster learning
00:28:33.020 faster than we are. The oil, the gas price, what's happening in our kids' schools, the political
00:28:40.620 nonsense, the corruption that's going on. We were never built to absorb all of this. No human being
00:28:46.940 can absorb all of it. And it never seems to resolve. It just accumulates. And that's why
00:28:53.280 you're exhausted. That's why you're tired. And that's why you feel like you do. The world is
00:28:59.480 coming apart and we're losing. The world is coming apart, but we're not losing.
00:29:04.900 Underneath almost every single one of these messages or conversations I have,
00:29:10.720 and sometimes it's asked outright, sometimes buried at the bottom like a confession,
00:29:15.320 just tell me what to do. Just tell me what to do. I can't tell you what to do.
00:29:20.400 I can suggest something, but only because I know history. We're all waiting. We're waiting for an
00:29:26.800 election waiting for the ruling from the courts waiting for a man on a white horse to ride in
00:29:31.000 but here's the difficulty with waiting for the man on the horse we just watched the most powerful
00:29:37.840 office on earth held by men of both parties and uh you know one had a whole team around him because
00:29:45.400 he didn't know what he was doing but the team knew exactly what they were trying to do and they
00:29:48.840 didn't fix it and this one's coming in and he's trying um and he has one of the best teams around
00:29:54.260 him I've ever seen. But he's not going to fix it either. And they're not fixing it because they're
00:29:59.620 weak. But it's the kind of problem that doesn't get fixed by one man at the podium. A culture
00:30:05.800 does not get repaired by executive order. It gets repaired the way it got broken, one person at a
00:30:13.800 time, over years, in kitchens, in cars, in classrooms, where no camera is running, nobody's
00:30:21.980 getting famous. That's how you, that's how the culture was broken. And that's how the culture
00:30:27.000 has to be fixed. Now, let me show you the power of one individual. And, and I want you to listen
00:30:34.600 to this because I think this is what, this may be the reason why I started the torch. I don't know
00:30:40.740 yet. I just found this story a couple of weeks ago and I'm like, wait a minute. And I've wanted
00:30:45.480 to share it with you because this is not going to be led by me. This is just going to be led by you,
00:30:52.840 hundreds and thousands of you, if it connects with you. Let me take you to, I think it's
00:30:58.460 Gloucester, England. I don't know. They have stupid names over there. Anyway, it's the summer
00:31:03.980 of 1780. And there's a guy named Robert Rakes. And he's not a general. He's not a statesman.
00:31:12.020 He was just a guy who ran a newspaper.
00:31:14.480 He owned the journal, and he inherited it from his father.
00:31:18.540 And what his passion was was prisons.
00:31:21.620 And he would go to the prison all the time, and he would write about the conditions, and he tried to reform it, and it went nowhere, okay?
00:31:30.940 And somewhere in all that failure, he arrived at the conclusion that changed everything, changed all of England.
00:31:39.280 he realized the way to empty a prison is to stop making prisoners where the socialists today will
00:31:48.500 say we'll get rid of the prison or don't send people to prison he thought the opposite wait
00:31:54.280 why are these people why are these people getting in trouble and in england back then it was because
00:31:59.980 they were illiterate and so he thought let's get to the children before they grow up and become
00:32:05.040 prisoners so he went to a street in his town called sooty alley um and this is where all the 0.69
00:32:12.760 chimney sweeps lived and apparently it's not as pleasant as they were as they were you know in
00:32:18.180 mary poppins as shake the hand of a sweep it's good luck you know no apparently not um and so
00:32:25.440 he went into sooty alley and he found this woman named mrs meredith and he said look i'm not a
00:32:31.320 wealthy man, but I'm going to pay you a shilling a week. I don't know how much a shilling a week
00:32:35.940 was today or back then, and I don't think anybody can really do the math. But he paid her a shilling
00:32:42.480 a week to teach the neighborhood children to read in her kitchen on Sundays. He said, once a week,
00:32:48.420 just teach children. And these were children that were working the other six days.
00:32:56.560 That was it.
00:32:57.960 That was the whole enterprise.
00:32:59.420 One shilling, one kitchen, and about a dozen boys.
00:33:02.920 And by every account, they were nearly impossible to control. 1.00
00:33:06.780 Poor Mrs. Meredith. 1.00
00:33:07.880 She was like, I can't keep them in their seats.
00:33:11.940 So Rakes had to move the school down the road to another street, Southgate Street,
00:33:16.900 to a tavern landlady named Mrs. Critchley. 0.73
00:33:21.180 I mean, she ran a tavern, so she probably knew how to keep things under control. 0.79
00:33:25.340 Rakes didn't publicize this.
00:33:26.960 This was just his little thing.
00:33:28.360 He was doing a shilling a week.
00:33:30.060 And he called it his harmless little experiment.
00:33:32.880 And he said, most likely nothing is going to come of it.
00:33:36.640 Now, November 3rd, 1783, he ran a short item in his own newspaper, Anonymous.
00:33:44.160 He described it as a grain of a mustard seed.
00:33:49.120 And the London papers picked it up.
00:33:51.840 The Gentleman's Magazine carried it.
00:33:53.440 John Wesley wrote about it the next year, and he said he was finding these schools springing up everywhere he traveled.
00:34:01.460 By 1785, it was a national society.
00:34:05.660 By 1831, 50 years after Mrs. Meredith's Kitchen, roughly one and a quarter million British children were being taught to read every week on a Sunday.
00:34:18.540 And for most of them, it would be the only education they would ever get in their entire life.
00:34:22.340 England didn't have, you know, education, public education.
00:34:25.440 They didn't pass that law until 1870.
00:34:28.060 So for 90 years, the literacy of the British working class was carried almost entirely by volunteers in borrowed rooms.
00:34:38.820 Robert Rakes wasn't Moses.
00:34:41.940 He, I mean, you've probably never heard of his name.
00:34:43.780 I'll bet you people, well, they don't know Churchill now in England, so they certainly don't know his name.
00:34:47.780 But I'll bet you people, really wise people in England don't even know who he was.
00:34:51.220 He was a small-town publisher with a shilling and an idea, and then he handed the actual work to two women whose names most people definitely have never heard.
00:35:04.600 People, I think, today get frustrated because they want to be Moses.
00:35:08.900 They want to be famous.
00:35:10.500 I mean, I shouldn't say that.
00:35:12.160 They don't necessarily want to be famous.
00:35:13.480 They think that fame is the way to do it.
00:35:15.660 The big, huge movements are the ways to move it.
00:35:18.800 You're changing culture.
00:35:21.220 Changing the world and culture happens from the inside.
00:35:26.620 It never looks like changing the world.
00:35:30.020 Changing culture looks like a Tuesday.
00:35:34.700 So, here's what I propose.
00:35:41.780 I don't have any shillings, so I'm not going to give anybody a shilling a week.
00:35:46.220 I have been giving this list out for a while now,
00:35:49.700 and I'm going to keep giving it out because I think it works.
00:35:52.880 First thing on the list, study history, not as a hobby, but as reconnaissance, okay?
00:36:01.180 We've been here before, so look to history.
00:36:04.820 Every panic that you feel has a precedent,
00:36:08.220 and the precedent will tell you which way it broke and why.
00:36:12.620 Spend 20 minutes a day.
00:36:13.700 Learn one new piece of history every day,
00:36:16.340 and a primary source beats a summary.
00:36:19.840 Read what people actually wrote at the time,
00:36:23.360 not what we decided later on what they meant.
00:36:27.640 The people who know what happened last time
00:36:30.480 are the calmest people in the room
00:36:32.040 and calm is contagious and we need calm people.
00:36:36.360 Then after you study history,
00:36:37.960 and by the way, Torch is built for this
00:36:40.000 and I'm going to start,
00:36:41.460 I haven't talked to anybody about this,
00:36:42.860 but maybe in the next month, give it some time.
00:36:46.080 By the end of the year, I want to start releasing a primary source, first source document once a day based on something that we're finding is happening in history.
00:37:01.600 And I'll just show you the primary source document of how this started.
00:37:05.740 So, like, maybe I can find primary source on something with Robert Rakes, and I'll tell you the story.
00:37:11.200 And so we'll release that.
00:37:12.440 So you have it.
00:37:13.400 But you have to do this on your own.
00:37:15.460 And then the next step is teach what you learn immediately.
00:37:19.140 And to somebody younger, your kids, your grandkids, your neighbor's kids,
00:37:23.020 the 24-year-old at work who's never once been told that his country that he's inheriting was built by arguing.
00:37:30.440 You don't need a platform.
00:37:33.100 Rakes had a kitchen. 0.57
00:37:34.900 Tell them the story at dinner every night.
00:37:37.180 That's the transmission mechanism.
00:37:39.160 And it's the only one that has ever worked.
00:37:42.960 Next, be kind on purpose, especially when it costs you something.
00:37:48.960 Kindness when you agree is manners.
00:37:54.760 Kindness when you don't agree, that's character.
00:37:58.440 And it's the only thing that has ever moved anybody.
00:38:01.460 Empathy is not a feeling you're born with.
00:38:03.740 Empathy is a muscle, and it grows when you are supposed to grow.
00:38:08.620 It grows when you're under strain, okay?
00:38:12.580 Next thing, and I'm teaching this to myself too.
00:38:15.040 I'm trying to demonstrate it on the air every day.
00:38:17.140 Meet people where they live.
00:38:19.320 That's what I did with the housing thing I did just last hour.
00:38:22.480 I know people are worried about housing,
00:38:24.980 especially the younger, the new socialists.
00:38:29.040 That's all they're talking about.
00:38:29.880 I can't afford a house, can't afford a house, can't afford a house.
00:38:32.000 So meet them there, meet them there.
00:38:34.320 Recognize their pain, have empathy for them
00:38:36.260 and stop trying to win.
00:38:37.960 When you win an argument, you get the point, but you lose the person.
00:38:46.040 Then the person was the point, not the argument.
00:38:48.940 So find out what people are afraid of before you tell them what they're wrong about.
00:38:53.540 Because underneath almost every bad opinion is real fear of a real thing.
00:39:00.320 Next, ask more than you answer.
00:39:03.260 Listen more than you talk.
00:39:05.640 It's hard for me, but I'm even trying to do it.
00:39:10.240 A question does the work and argument can't.
00:39:13.240 It lets a man change his mind without having to surrender.
00:39:16.580 And you'll learn more in the silence after a good question than in anything you were about to say.
00:39:23.260 Next, get close to God, pray, and then be quiet long enough to hear him.
00:39:31.000 This is the part people skip, and it's the part that tells you which of all the other things to do today and for whom.
00:39:39.560 He'll point you.
00:39:40.480 It'll open up.
00:39:41.240 The road will just happen.
00:39:43.020 But notice what he usually points to.
00:39:45.540 He usually points to the person right in front of you, not the crowd behind.
00:39:49.920 I have never once heard him say clearly to me.
00:39:53.320 I was in Washington, D.C.
00:39:54.580 I was walking down the street and, um, we were actually having some issues and, um, and my
00:40:03.300 security is like, let's go, let's go, let's go. And I went half a block and I passed somebody
00:40:07.380 and the spirit had told me something. And, uh, and so I went back to talk to this woman. She was
00:40:14.740 on the street. She looked homeless and, and everybody's like, what are you doing? Come on,
00:40:19.060 what are you doing? And I'm like, I gotta go back. So I went back and I talked to this woman
00:40:22.700 And our exchange was remarkable.
00:40:26.840 And she actually taught my children something, something really valuable and good.
00:40:32.440 It was amazing.
00:40:33.640 She was, I mean, she's homeless.
00:40:35.500 And she said, she looked at my children and she said, you have to appreciate what you have in America.
00:40:41.160 I may be poor.
00:40:42.500 She wasn't from America.
00:40:43.520 She said, I am poor here and I'm living on the streets, but it's still better than where I was. 0.65
00:40:50.080 Please.
00:40:50.880 She looked at me.
00:40:51.780 Teach your children to appreciate what they have here.
00:40:54.920 It was remarkable.
00:40:57.660 That was a prompting.
00:40:59.320 Listen to those, okay?
00:41:01.540 Very few people are called to be Moses.
00:41:03.700 Very few.
00:41:05.080 I mean, there was Moses and then, well, I'm sure there was somebody else. 0.82
00:41:09.480 Most of the damage in this world gets done by people who were sure that they were sure.
00:41:16.580 And most of the repair gets done by people who were sure they weren't sure.
00:41:21.320 You're not powerless.
00:41:22.600 All of us are unfocused
00:41:24.060 because we've been handed a hundred problems
00:41:27.160 that are not ours to solve.
00:41:28.620 And we're told to feel responsible for all of them. 0.99
00:41:31.540 Put all that crap down. 0.98
00:41:33.240 Pick up the ones that are within arm's reach, 0.99
00:41:35.360 the small, unglamorous, repeatable things
00:41:37.680 and do them every single day
00:41:39.060 and do them with faith and do them with hope,
00:41:41.520 you know, which are not feelings either.
00:41:43.880 They are decisions that you make in the morning
00:41:46.460 before the evidence comes in.
00:41:48.040 because I'm telling you if
00:41:50.000 and it could start from this audience
00:41:52.680 if you just teach yourself
00:41:55.040 and then teach others
00:41:55.960 50 years from now somebody might look back
00:41:58.800 and try to explain how did this culture change
00:42:01.260 how did the country come out of this
00:42:03.140 and they'll want to name a president
00:42:05.060 but I think they're going to be wrong 0.92
00:42:07.040 it'll have been a shilling
00:42:10.240 it'll have been a kitchen
00:42:12.640 and a whole lot of people
00:42:15.380 who never made the news
00:42:17.420 Na na na na