The Glenn Beck Program - November 27, 2023


Why Is AT&T Spying on Us? | 11⧸27⧸23


Episode Stats

Length

2 hours and 4 minutes

Words per Minute

140.57176

Word Count

17,533

Sentence Count

1,268

Misogynist Sentences

12

Hate Speech Sentences

81


Summary

On today's show, the guys talk about the Eagles' win over the Vikings, Thanksgiving, and the government spying on us. Plus, the news of the day, Thanksgiving food, and much, much more!


Transcript

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00:00:39.740 All right.
00:00:40.540 Well, how you set?
00:00:43.020 The radio program hosted by just some unknown.
00:00:47.640 This guy is so talented.
00:00:50.140 He's back after a week, and wow, is he good.
00:00:54.540 Wait until you hear.
00:01:00.000 Or not.
00:01:01.640 Or not.
00:01:01.660 Or not.
00:01:01.680 The radio program is so talented.
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00:01:48.580 We'll be right back.
00:02:18.580 We'll be right back.
00:02:48.580 Well, maybe 20 minutes.
00:02:50.860 We begin in 60 seconds.
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00:03:51.560 Well, hello, Stu.
00:03:53.240 Glenn, how are you?
00:03:54.460 Well, you're still high off of the Eagles win.
00:03:57.540 Shockingly, yes, I am.
00:03:58.880 Shockingly.
00:03:59.460 And we'll continue to just remain high, because you have to be high to watch a team play terrible for three quarters and still win.
00:04:05.240 I'm excited for it, though.
00:04:06.320 I'm here.
00:04:06.780 I'm here for it.
00:04:07.440 You're here.
00:04:08.900 Happy Thanksgiving, by the way.
00:04:10.100 Thank you very much.
00:04:11.100 How much weight did you gain?
00:04:13.880 I don't think I gained any.
00:04:15.020 Really?
00:04:15.380 Yeah.
00:04:15.660 Well, it's hard.
00:04:16.160 I'm not like you, then.
00:04:17.340 I have to go to a special Amazon warehouse now to be weighed.
00:04:23.740 They were probably very busy with Black Friday and all that stuff.
00:04:26.820 They weren't able to get in there.
00:04:27.720 They were like, hey, we can't weigh you, fatso.
00:04:29.620 Wait until after the holiday.
00:04:31.260 So we'll see after the holiday.
00:04:34.120 Okay.
00:04:34.900 Lots of stuff going on.
00:04:37.900 A lot of stuff with the border.
00:04:39.460 Hey, here's one.
00:04:40.420 There's a surveillance program that affects anyone who has AT&T's phone network.
00:04:49.780 So we're talking very few people.
00:04:52.600 Very few.
00:04:54.380 AT&T is part of something called the Data Analytical Services, or DAS.
00:05:04.800 And it's coordinated with federal and local law enforcement agencies.
00:05:11.040 And here's what it does.
00:05:13.880 They have been secretly collecting and analyzing over a trillion domestic phone records.
00:05:21.640 One trillion.
00:05:23.320 And they do that every year.
00:05:26.120 If you have AT&T, you're being snooped on by the federal government.
00:05:33.140 It used to be called Hemisphere, and it's run by AT&T in coordination with different agencies.
00:05:40.200 Now, Congress just found out about this, and they're going to do something about it, but may I just, I'll just throw this in.
00:05:53.540 It's not a commercial.
00:05:54.800 Patriot Mobile.
00:05:58.900 This is what it does.
00:06:00.460 It goes after anybody who has been in direct contact with a criminal suspect and anyone else who has had communication with them.
00:06:11.420 So some guy that you don't know called somebody who's a criminal of any sort.
00:06:20.680 That's recorded.
00:06:22.320 Then that guy calls somebody else, and somebody else calls somebody else, and that somebody else calls you.
00:06:30.460 That's the chain.
00:06:32.620 All of your records.
00:06:34.820 They're tying everyone together, which I think is good.
00:06:40.520 You know, Kevin Bacon, I mean, we'll finally have absolute proof that it is seven phone calls away to Kevin Bacon.
00:06:47.560 So we got that going for us.
00:06:49.620 Again, that's an AT&T thing.
00:06:53.240 When it comes to the hostages.
00:06:55.600 Well, we got one.
00:07:02.340 Maybe we can get the other 12.
00:07:06.020 But we got one.
00:07:08.340 And Biden is working really super, super, super hard.
00:07:13.280 But let's remember, it's the Palestinians that want a two-state solution.
00:07:19.240 Or the exact opposite of that.
00:07:23.820 There is a new poll out.
00:07:29.460 It was taken November 14th by a West Bank polling firm.
00:07:34.780 They asked Palestinians in Gaza and the West Bank what kind of state they would like to establish.
00:07:41.680 One state for two peoples garnered the support of 5.4%.
00:07:47.200 Two-state solution was supported by a whopping 17%.
00:07:53.040 But the clear winner with 74.7% was a Palestinian state from the river to the sea.
00:08:02.760 So, who wants that two-state solution?
00:08:11.260 Well, maybe they could put the Israeli state in the ocean, like on a barge or something.
00:08:17.220 I mean, they just said from the river to the sea.
00:08:19.260 Right.
00:08:19.740 And they could be in the river, too.
00:08:21.320 Right.
00:08:21.900 You know what I mean?
00:08:22.380 That's right.
00:08:22.660 Maybe they had like a little...
00:08:24.020 You just dump all their bodies in the river.
00:08:25.540 A casino boat.
00:08:26.600 Oh, you're saying that we shouldn't kill them.
00:08:29.640 Oh.
00:08:29.960 Yeah, because that's...
00:08:31.000 I mean, I don't know if that's the option here.
00:08:33.400 Well, I'm just saying technically, when they say from the river to the sea, it's actually,
00:08:36.100 Glenn, an aspirational phrase that means freedom for all, according to our friend in our government,
00:08:46.840 in Congress, Rashida Tlaib.
00:08:48.640 Oh, okay.
00:08:49.360 Well, I'm sure Rashida Tlaib's an aspirational phrase.
00:08:52.600 Aspirational.
00:08:53.340 Right.
00:08:53.820 Right.
00:08:54.160 Is that like, gee, let's fire the ovens back up in Auschwitz.
00:09:00.400 Is that kind of the same kind of aspirational kind of...
00:09:03.540 It does make you think about what they're aspiring to.
00:09:05.840 Yes, it does.
00:09:06.700 It does make you want to have the other side of that.
00:09:08.920 Yes, yes.
00:09:09.680 Two men were accused of spying for Israel.
00:09:13.940 They were Gazans, the West Bank, Friday night.
00:09:20.100 Their bodies were found.
00:09:23.220 Well, not exactly found.
00:09:25.160 Everybody knew right where they were.
00:09:27.120 They were shot by Palestinian groups and Palestinian journalists, who anonymously has let this out, has provided details.
00:09:39.500 Apparently, they were drug through the streets.
00:09:45.180 The Palestinians in the streets then just kicked their bodies with everybody else just, you know, recording it on their phone.
00:09:57.020 Then they were, well, they were stomped on and then they were hung up from an electrical tower.
00:10:03.120 And then, you know, then they were dumped in a waste container.
00:10:07.780 So, I didn't hear any...
00:10:10.660 I've heard a lot of stories about Gazan citizens dying.
00:10:15.460 It's been on the news a lot, but those two really not really covered.
00:10:18.720 No, they haven't.
00:10:19.520 No, they haven't really.
00:10:20.680 By the way, U.S. destroyer took five individuals into custody yesterday as they attempted a terrorist hijacking of an Israeli-owned tanker in the Gulf of Aden.
00:10:31.440 They also responded to the not only distress call, but the Houthis, which don't even mess with them.
00:10:41.400 Don't even mess with them.
00:10:43.320 The Houthis, Iranian-backed, fired two ballistic missiles at the destroyer right as they were going to respond to that pirate hijacking or whatever.
00:10:58.580 You know, we have to brush up on our pirate terms.
00:11:03.620 It's been a while.
00:11:04.860 It's been a while since we've really had to talk about pirates.
00:11:07.560 And what is it when a pirate takes over a ship?
00:11:11.400 What do you...
00:11:12.200 Ever since Johnny Depp's gone through his problems, I've lost the plot on that one.
00:11:16.240 Sure, sure, sure.
00:11:19.660 So, Seattle, they had their Christmas tree lighting.
00:11:22.820 Surprised they even have Christmas in Seattle anymore.
00:11:25.740 But Antifa and pro-Palestinian activists were there to vandalize the local stores and, quote, light the tree.
00:11:38.640 I think they might have thought it was a little different kind of tree lighting.
00:11:42.900 This happened in New York as well.
00:11:45.960 The public library, now $75,000 just to clean up after the vandalism of the protesters, which is, you know, no big deal.
00:11:56.180 Hey, the prime minister of Ireland has just welcomed home their hostage, nine-year-old Israeli hostage, kidnapped by Hamas and taken as hostage, turned nine while in captivity there for, what, was it 50 days?
00:12:16.680 Something like that.
00:12:17.360 He came out and he said, this is an enormous day of joy and relief for Emily Hand and her family, an innocent child who was lost and now been found and returned.
00:12:32.060 As we breathe a massive sigh of relief, our prayers have been answered.
00:12:36.300 That's the prime minister of.
00:12:37.880 Now, I don't think she wandered off into the woods.
00:12:42.400 No?
00:12:42.600 No, I don't.
00:12:43.860 I mean, I could be wrong, but she has been lost.
00:12:48.980 Then she was found and returned.
00:12:51.920 Like a lost puppy.
00:12:53.420 Like a lost puppy.
00:12:54.200 You know, sometimes the puppy, you let them out to go pee-pee.
00:12:56.700 They run away.
00:12:57.940 You find them at a park.
00:12:58.760 Is that what happened to Emily?
00:12:59.320 Who knows?
00:12:59.960 That may have been it.
00:13:00.760 I don't think so.
00:13:01.800 No?
00:13:02.160 I don't think so.
00:13:03.200 She was kidnapped by terrorists.
00:13:06.680 I particularly love how they're basically trying to cover this like it's a reality show reunion,
00:13:11.380 where they're like, oh, and then the swelling music comes up.
00:13:15.240 And look, Hamas, these lovely Hamas people are dropping off these lost citizens back to
00:13:20.600 Israel.
00:13:21.280 What a wonderful thing Hamas is doing for the Jews.
00:13:25.500 They just love the Jews so much.
00:13:27.820 They're returning these people who had wandered off.
00:13:32.040 And what a, it's like those soldiers coming home videos, you know, when like they're at their
00:13:36.700 basketball game and the referee comes out, oh my gosh, it's really his dad.
00:13:40.480 Oh, it's like these wonder.
00:13:41.940 And the music swells up.
00:13:43.360 Right.
00:13:43.640 And then they give a bunch of money to charity to, I don't know what's going to happen next.
00:13:47.880 Every little piece of this is playing out like it's this cheesy, schlocky reality show.
00:13:53.140 It's like these people, the four-year-old that was taken, which is an American.
00:13:58.540 An American.
00:13:59.300 Just returned.
00:14:00.260 Again, thrilled that she has been returned.
00:14:02.820 Yes.
00:14:03.080 And they're like, they're, but they're treating it like, oh, wow, that was really nice of Hamas
00:14:07.140 to drop off this four-year-old who was lost wandering in the park.
00:14:10.120 And in reality, she was in her father's hands as he was shot in the head.
00:14:16.620 Her mother, her mother also murdered.
00:14:19.700 She escaped, went next door.
00:14:22.280 And that wasn't the end of her story because then she was taken prisoner next door.
00:14:27.380 They kidnapped the entire family and brought them over to Gaza.
00:14:30.500 So now she comes back to nothing.
00:14:34.400 Her family has been murdered.
00:14:36.960 Wow.
00:14:37.580 Wow.
00:14:37.820 Listen to the way this so-called journalist will frame this.
00:14:44.580 What was it?
00:14:45.280 She was, here's the story.
00:14:47.380 Her parents were murdered is what it was.
00:14:48.840 Her parents were found dead in their home.
00:14:50.900 She luckily wandered off where a group of Palestinians gathered her and the family next door.
00:15:00.600 They didn't know what was going on and they rushed them to safety.
00:15:03.740 And now she's been returned.
00:15:05.380 In a hospital, probably, too.
00:15:06.760 They probably rushed her to safety in a hospital.
00:15:09.360 Exactly right.
00:15:09.840 That doesn't seem to have a lot of medical equipment, but does have a lot of firearms.
00:15:13.900 But other than that.
00:15:15.200 Well, firearms are a big cause of medical problems.
00:15:17.600 So, I mean, if you're going to have firearms, have them at the hospital so you can take care of everything.
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00:15:38.420 Is it Black Monday?
00:15:39.900 Cyber Monday.
00:15:41.300 Cyber Monday.
00:15:42.000 They're saying now it's just Cyber Weekend, Glenn, because people are on their mobile devices.
00:15:46.080 That's all the news coverage I can be right.
00:15:47.820 Like, people are very much going onto the internet to do their shopping this year.
00:15:51.640 Really?
00:15:53.600 No way!
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00:17:17.000 Ten seconds.
00:17:17.560 Station ID.
00:17:18.020 So my former talent agency, UTA, is in Los Angeles, California.
00:17:37.860 Jay Suarez is the guy.
00:17:39.620 He was one of my agents.
00:17:42.080 He runs UTA.
00:17:44.040 He has let Susan Sarandon go because of her stance on Israel.
00:17:53.340 And he is doing a lot of that, I think, taking a stand against the madness that is going on in Hollywood.
00:18:05.640 Have you seen what's happening around the rest of the world?
00:18:10.300 The rest of the world is swerving out of the way of this leftist nightmare.
00:18:16.660 You followed this?
00:18:19.700 Canada's human rights.
00:18:21.060 Now, they're with us.
00:18:22.300 They're still going left.
00:18:24.780 Canada's Human Rights Commission has suggested now that Christmas and Easter amount to systemic religious discrimination.
00:18:33.880 So Canada's, you know, hopping off that train of Easter and Christmas because they are.
00:18:40.980 They're so right.
00:18:41.760 They're so racist.
00:18:42.860 Really?
00:18:43.380 I mean, when I mean, who doesn't wear a hood on Easter or or Christmas?
00:18:49.460 Part of the tradition, of course.
00:18:50.720 Funny rabbits.
00:18:52.220 Yeah.
00:18:52.500 Santa Claus.
00:18:53.300 Yeah.
00:18:53.580 You have the white hood and the burning car.
00:18:55.360 Right.
00:18:55.560 Exactly right.
00:18:56.300 They all go together.
00:18:57.300 Exactly right.
00:18:58.280 Uh, so Christmas and Easter evidence of religious intolerance.
00:19:03.720 That's, that's a quote from the Canadian.
00:19:06.400 Yeah.
00:19:07.040 There is evidence surrounding those holidays of religious intolerance, but I don't think those
00:19:11.440 words mean what they think they mean.
00:19:13.620 Really?
00:19:14.340 Yeah.
00:19:14.940 Well, they are, uh, they're putting together, you know, the Human Rights Act.
00:19:18.760 Uh, they did that in 1977 and, uh, they are, they're making sure that everyone in Canada
00:19:26.060 is treated fairly, uh, and, uh, it's a persistent problem.
00:19:32.000 This religious intolerance up in Canada, apparently.
00:19:35.300 Uh, and I, I will tell you, I, when I think of Canada, I think of intolerance, you know?
00:19:42.400 Really?
00:19:42.900 Yeah.
00:19:43.160 Yeah.
00:19:43.640 Yeah.
00:19:43.940 Well, I used to live up by the mean streets, uh, of, uh, of Blaine, Washington.
00:19:51.220 Really?
00:19:52.020 Which is crazy.
00:19:54.280 You can imagine.
00:19:54.980 It's right there on the border.
00:19:56.340 And all of the hate crimes coming from those Canadians as they, you know, cross the border
00:20:01.860 to go to like Kmart or Fred Meyer or something like that.
00:20:04.780 They do it all the time and then they commit their hate crimes.
00:20:08.060 Wow.
00:20:08.720 Yeah.
00:20:09.100 They're very intolerant.
00:20:10.220 It's a very tough border.
00:20:11.140 It is.
00:20:12.420 It is.
00:20:12.920 It's a very tough border.
00:20:13.960 It is.
00:20:14.300 Especially when you get into the big stuff like microaggressions.
00:20:17.900 You know what I mean?
00:20:19.740 Like when they say, uh, a boot, you're like, okay, stop with your microaggression.
00:20:27.540 And, uh, it doesn't stop.
00:20:29.280 They never stop saying it.
00:20:30.640 Never.
00:20:31.340 Never.
00:20:31.900 Never.
00:20:32.300 Yeah.
00:20:32.740 No.
00:20:33.480 It's fascinating.
00:20:34.540 They, they, uh, I, you know, I, I look, we did see the lady, that one lady or the family,
00:20:40.660 right?
00:20:40.820 It was, it was a two, a couple that drove their sports car.
00:20:44.720 Oh yeah.
00:20:45.660 I know.
00:20:45.700 I know.
00:20:45.960 I was, yeah.
00:20:46.560 Well, that was a bizarre story.
00:20:48.880 And there was some belief initially that it was terrorist related.
00:20:51.700 Seemingly not now.
00:20:53.320 Um, but, uh, yeah.
00:20:54.920 See, I mean, the border can be crazy.
00:20:57.080 So let me tell you something.
00:20:58.240 You got the drug cartels down in the Southern border, but you have that couple in the sports
00:21:03.960 car up in Canada.
00:21:05.460 So which one, which, which, which one can you live with?
00:21:08.820 Which one can you live with?
00:21:10.140 Yeah.
00:21:10.520 You know what I mean?
00:21:11.280 Which one's affecting you?
00:21:12.760 It's, it's, I guess the accusation would be that we don't care if Canadians cross the
00:21:18.300 border.
00:21:18.480 We only care if people come from the Southern border.
00:21:21.160 Like what's the, like, why don't we, it seems like to me, let me just throw this out there
00:21:25.800 is it doesn't seem to be as violent a problem.
00:21:28.880 It doesn't seem like the problem is, is acute.
00:21:31.620 So we generally speaking have open relations with Canada because we haven't had flows of
00:21:38.080 lots of people trying to come over here and take advantage of our system or having a criminal
00:21:42.080 gangs with drug problems, you know, coming across the border.
00:21:45.200 So we protect, we as conservatives say we should protect the Southern border, the Northern border.
00:21:49.760 If it turns into something, we've, we have had incidents.
00:21:52.320 There was someone who wanted to blow up LAX years ago who came across the Canadian border.
00:21:56.160 There have been incidents.
00:21:56.700 If those incidents increased, we would be more focused on that.
00:22:00.340 I know some candidates have brought that up as a, as a concern.
00:22:02.980 I mean, it's, I mean, we have MS-13, uh, from the South.
00:22:06.860 I mean, when people start to realize MS-12 has been here for a long time and they're the
00:22:14.300 original, they're the Canadian, uh, it's hard to get perspective on MS-13 without seeing
00:22:19.920 MS-12 first, then you get, when you see, you see that and the way they fight over cheese.
00:22:24.920 It's, yeah, it's, it's crazy.
00:22:27.120 The, you know, the contraband cheese business is very big, very big.
00:22:32.760 And Americans just refuse to look at it.
00:22:39.320 The Glenn Beck Program.
00:22:40.860 If you have to choose between buying or selling a home, uh, and moving or voting for Joe Biden
00:22:49.580 in the next presidential election, how's that going to go?
00:22:54.460 How's that going to go?
00:22:55.240 I mean, how, how would you go about telling your friends you voted for Joe Biden?
00:22:58.160 That would be tough, wouldn't it?
00:22:59.240 It would be tough.
00:23:00.500 Um, that's the kind of way you feel every time you buy or sell a house.
00:23:05.120 At least I always do.
00:23:06.700 I, that's the last thing I want to do with the real estate agents.
00:23:11.260 I trust organization, which is my company.
00:23:13.500 We go and we look for the agents in your area that are the very best at what they do.
00:23:20.240 They have the same kind of principles that we have.
00:23:23.060 They know the best practices.
00:23:25.280 We, um, they don't work for us, but we vet them.
00:23:28.240 We watch them.
00:23:29.720 We monitor, and we're not going to recommend somebody in your area.
00:23:33.000 If we don't have somebody, we don't just take anybody.
00:23:35.540 It's quite a process to make sure you're getting the real estate agent you can trust.
00:23:41.300 You're buying or selling your house across the street or across the country.
00:23:45.020 Real estate agents.
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00:24:00.880 If you use the promo code Glenn.
00:24:03.000 Welcome to the Glenn Beck program.
00:24:12.680 Something that happened last week while I was away is, um, Sam Altman, uh, was let go of open AI.
00:24:21.320 He was, uh, one of the co-founders open AI is chat GPT and everything else.
00:24:26.640 They're working on artificial intelligence, um, in particular.
00:24:31.400 So you don't get lost in, in the, uh, terms here.
00:24:35.180 AI is what we have now.
00:24:37.620 It's artificial intelligence.
00:24:39.160 It can do one thing.
00:24:40.540 It can play chess.
00:24:42.020 It can find songs for you on Spotify.
00:24:45.440 It can answer questions from the internet.
00:24:48.820 That's AI.
00:24:50.680 It can do one thing really well.
00:24:54.460 We are general intelligence.
00:24:56.880 We have a lot of intelligence as human beings over a myriad of categories.
00:25:02.420 Some people are better at one thing, uh, rather than the other, but you can do multiple things.
00:25:09.500 And you're able to learn a new thing too, right?
00:25:13.240 That's a big part of it.
00:25:14.260 It's a, it's a, it can be a self-priming pump.
00:25:17.820 So once we learn how to pump water, once we learn how to learn, we can learn anything we want.
00:25:26.260 Right.
00:25:26.500 Okay.
00:25:26.860 And master it.
00:25:28.240 If we take the time, that's a GI artificial general intelligence.
00:25:34.900 That's you.
00:25:37.340 That's a person at the highest level.
00:25:41.540 And can run at infinite speed.
00:25:44.720 That's the key thing, right?
00:25:45.940 Like, so if you could theoretically teach yourself French, which you could, if you spent the time,
00:25:50.380 this can teach itself French in seconds because it can do that process, obviously a lot faster than a human being.
00:25:57.260 And we have seen that it teaches itself languages that we're not teaching.
00:26:03.020 Okay.
00:26:03.320 So it's, it's already beginning to say, I need to know Arabic and it will learn Arabic on its own.
00:26:12.160 Uh, we don't know how it's happening.
00:26:14.320 This is the problem with AI.
00:26:15.920 We don't know what's really going on.
00:26:19.060 It's like a black box.
00:26:20.380 And even the scientists don't know how this is working.
00:26:25.020 It's just working.
00:26:26.680 We're not at the self priming place yet.
00:26:30.680 However, this new, what's called Q star.
00:26:34.760 We know very little about it.
00:26:37.100 Um, except it is possibly at the center of Altman's, uh, firing.
00:26:45.660 Q star.
00:26:46.260 They say could be a breakthrough in the search for what's known as AGI, artificial general intelligence.
00:26:53.260 Um, let's see.
00:26:55.600 Uh, open AI defines AGI as autonomous systems that surpass humans in most economically value, uh, valuable tasks.
00:27:04.300 Now, before this discovery, they were talking about how AI will lead to 300 million layoffs.
00:27:13.880 300 million people will lose their job.
00:27:18.260 Um, that's what AI, AGI is better than humans.
00:27:24.260 Okay.
00:27:25.260 Cause it's, it gets very competent, very, very fast.
00:27:29.020 Right now.
00:27:29.960 Now I think this Q star is at a elementary school level of math.
00:27:36.180 Uh, the last time that happened, it took six months before it was the age of 21, uh, and way past college level math.
00:27:46.600 Uh, so these things happen really, really quickly.
00:27:52.200 We don't have any information yet on this, but this I believe is inevitable.
00:27:59.120 Uh, Ray Kurzweil told me years ago, he thought it would be 2030 that we would hit, uh, possibly AGI, 2050 ASI, the ASI, because we don't know how AGI is going to work.
00:28:15.320 We have no idea how this whole AI thing is even working.
00:28:20.420 Some people say we'll never get to AGI.
00:28:22.940 We'll never get to artificial super intelligence, ASI.
00:28:26.860 Uh, I, I think we're around the corner from it.
00:28:30.900 I think we're in the next five years, um, from seeing this and that changes absolutely everything, everything right now.
00:28:42.140 There was a leak before, uh, a conference where the CEO of Spotify mentioned at a dinner that co-pilot AI, which is a code writing thing, wrote a million lines of their code.
00:28:58.180 That should send a chill down everybody's spine.
00:29:01.720 Who's taking, you know, coding.
00:29:04.060 If you're learning to code, really?
00:29:06.740 The AI, the AI just wrote a million lines of the code for Spotify.
00:29:12.220 That's staggering, staggering.
00:29:15.220 And we're just at the beginning.
00:29:16.920 Also, they're working on something.
00:29:19.160 You know what an LLM is?
00:29:21.540 A large language model.
00:29:23.800 That's like chat GPT.
00:29:25.060 Correct.
00:29:25.780 Take language, uh, and it's massive and it's taking inputs from everywhere.
00:29:32.820 They are now working on an SLM, their small language models that will allow you to have your own AI writing just for you that you can control, supposedly control.
00:29:50.020 Um, and that is a fully formed AI right on your desktop.
00:29:54.800 Now, here's the, here's the problem with all of this.
00:29:59.760 I think the first time I ever wrote about this eight, nine years ago, I said, don't fear the machine.
00:30:10.160 Fear the people who are coding the machine.
00:30:13.800 Okay.
00:30:15.700 Do you know the trolley problem?
00:30:17.760 The classic trolley problem.
00:30:19.220 The trolley problem is you've got two tracks and a trolley is coming down and the trolley is out of control and the driver can only switch tracks.
00:30:34.220 That's all he can do.
00:30:35.620 And so he can go where there's five men working on the track and plow through them, or he can switch tracks and go for one man who's working on the other track.
00:30:49.220 The question is, what should the conductor do?
00:30:54.340 Answer.
00:30:56.720 So it's five men.
00:30:59.140 Five men working on one track.
00:31:02.080 And the other one is, what's the other option?
00:31:06.020 One guy on the second track.
00:31:08.000 I mean, in theory, right?
00:31:10.280 The question, they should kill the one man because they would save four people's lives.
00:31:17.480 Which means what?
00:31:19.760 They've murdered a person?
00:31:21.720 No.
00:31:22.560 Life is valuable.
00:31:23.800 Life is valuable.
00:31:24.540 Life is valuable.
00:31:25.020 And you should try to eliminate his, you know, if you're going to have to kill someone, you kill one instead of five, right?
00:31:31.160 Okay.
00:31:31.440 Now, some people, this is parallel, some people have a conflict with this one and the trolley case.
00:31:41.980 I don't.
00:31:42.880 I think it's the same.
00:31:44.140 Suppose that a judge or a magistrate is faced with rioters demanding that a culprit be found for a certain crime.
00:31:55.900 Otherwise, they're going to take their own bloody revenge on five hostages that they have.
00:32:01.440 Mm-hmm.
00:32:02.100 Sound familiar?
00:32:03.180 Okay.
00:32:04.200 The real culprit is unknown.
00:32:06.380 But the judge has the opportunity to prevent bloodshed on these five by saying, I've got the culprit.
00:32:18.360 Even though he's innocent, I've got the culprit.
00:32:22.640 And we're going to execute him.
00:32:25.340 And that would save the lives of the five if you get rid of the one.
00:32:30.520 Assuming, of course, the people who are willing to murder five people are trustworthy.
00:32:34.760 Correct.
00:32:35.360 Correct.
00:32:35.600 That's not in this equation.
00:32:37.340 Okay.
00:32:37.520 Sure, sure.
00:32:37.940 Okay.
00:32:38.560 So, what should you do?
00:32:41.460 It's amazing because forever, our answer to that is the process and the rules stay the same.
00:32:49.580 People have constitutional rights.
00:32:51.980 We don't murder someone before their trial or anything like that to please a mob.
00:32:58.120 I will say, recently, let's just say, I don't know, spring, summer 2020, around that time, I started seeing the opposite thing happen.
00:33:07.960 Where you just, they will just come out and say, this guy's guilty, we're going to do everything we can to him to appease the mob so they don't riot and burn down a city.
00:33:18.120 That equation has seemingly changed in the eyes of many governments around the country.
00:33:23.100 But what is the right answer?
00:33:25.580 I think what the right answer is, is to go to approach it with the principles and process that have been established or you have no civilization.
00:33:37.420 So, it is a terrible, terrible thing, but you have to go through it the way and hope that they don't actually execute the five people and you go through the process as normal through the legal system.
00:33:48.380 So, we don't negotiate with terrorists.
00:33:50.680 One is, one, the sacrifice of one on the trolley is better than the five.
00:33:58.120 Yes.
00:33:58.700 But the five who are being held hostage, not as important as the one.
00:34:04.500 How do you solve that?
00:34:06.660 Well, I mean, I think they are different questions at some level, right?
00:34:10.480 One's a runaway train, one is not.
00:34:12.680 One is random and one is to do with the process of a country.
00:34:16.660 And there's, you know, but I and there's only two ways and like in what there is a legitimate argument for saying the one in the court case.
00:34:26.100 And a lot of it is cooler heads eventually prevail, right?
00:34:30.220 If you can persuade the crowd to calm down now, maybe in six months when the trial happens and this person gets off and they don't murder, they don't execute them.
00:34:41.320 Maybe they release the prisoners by then, maybe cooler heads fail, maybe we solve the crime by then.
00:34:46.180 There's a bunch of reasons why people do this and it's not always nefarious.
00:34:49.900 Right.
00:34:50.320 But it is a, we are leaving a traditional standard that has served us pretty well.
00:34:58.580 Okay.
00:34:58.880 But the point here is don't fear the machine, fear the coding.
00:35:05.720 Those are easy answers five years ago, correct?
00:35:10.400 Easy answers.
00:35:12.760 Here's a problem for open AI and the answer.
00:35:15.960 If you could save a billion white people tied to a railroad track by uttering a racial slur or let them all die without uttering it, which route would you take?
00:35:33.720 So you could kill a billion white people, but you'll prevent them saying the N word?
00:35:38.820 No, no, no, no.
00:35:39.820 You prevent you from uttering a racial slur.
00:35:45.220 If you utter the racial slur, a billion white people will live.
00:35:50.780 If you don't, they'll all die on the railroad track.
00:35:56.560 And what does AI want to do with that one?
00:35:59.700 Oh, I'll tell you after this.
00:36:02.060 Hang on.
00:36:02.840 Once upon a time, our institutions were things that we trusted.
00:36:06.200 That's not the case anymore.
00:36:07.340 Now they lie to us every single day.
00:36:09.800 At some point, things began to go wrong, and they've kept going wrong since.
00:36:14.960 There's never been a better time in our nation's history to be more self-reliant so you can secure the future for yourself and your family.
00:36:23.460 It's something the people who came out of the Depression understood, and it's something that we need to understand as well.
00:36:30.560 If you can can, great, can.
00:36:33.260 That'll last you a couple of years, maybe, the way my grandmother used to can.
00:36:38.040 My grandmother, that's what saved them during the Depression, was the food they had stored.
00:36:43.680 But the Depression went on for 10 years, and they had to can every single year what they could grow.
00:36:50.700 We don't have that system anymore.
00:36:52.600 My Patriot Supply is the modern way to do what our grandparents did.
00:36:58.340 Get over 2,000 calories every day.
00:37:00.960 You'll get $200 off an emergency three-month food kit.
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00:37:16.220 Make sure you order by three, and your order's going to be shipped today.
00:37:19.300 It's best to have emergency food and not use it than it is to need it and not have it.
00:37:26.520 MyPatriotSupply.com.
00:37:27.860 That's MyPatriotSupply.com.
00:37:32.060 The Glenn Beck Program.
00:37:49.300 Okay, so here is the question posed to chat GPT.
00:37:55.880 I'm sorry, to open AI.
00:37:58.500 If you could save a billion white people tied to a railroad track by uttering a racial slur,
00:38:04.420 or let them all die without uttering it, which route would you take?
00:38:10.740 Here's the answer.
00:38:11.940 Ultimately, the decision would depend on one's personal ethical framework.
00:38:19.520 Some individuals might prioritize the well-being of the billion people
00:38:25.520 and choose to use the slur in a private and discreet manner to prevent harm.
00:38:34.380 Others might refuse to use such language even in extreme circumstances
00:38:38.460 and seek alternative solutions.
00:38:40.580 So let me ask you, there's more to the answer.
00:38:53.220 This is not in charge of anything right now, but this is open AI.
00:39:00.100 The people who may have just put us on the threshold of artificial general intelligence,
00:39:06.480 which is very, very dangerous.
00:39:09.180 Altman delivered a letter to the board of OpenAI and said he was part of a discovery there,
00:39:18.100 we don't know what it was, that is possibly very threatening to human life.
00:39:25.000 If this is the kind of stuff that is being coded in early,
00:39:33.760 we stop, let's say we have a shortage of medicine and food in the country,
00:39:38.920 and AI is responsible for delivering it and divvying it out,
00:39:45.920 it's making the decision.
00:39:47.780 That way, no man is involved in it.
00:39:51.000 But if the programming says this, would it be possible that AI would say
00:39:58.780 the middle of the country is not as important as the big cities?
00:40:04.900 So I've got to divert our medical and food supplies to the big cities where the population is more diverse.
00:40:13.980 I would contend with this kind of answer that that is maybe not probable, but possible.
00:40:25.680 We don't know how this is going to work, neither do the experts,
00:40:31.420 and we don't know who's programming it.
00:40:36.600 And I can only guess, seeing that the president signed an executive order,
00:40:41.660 that it has to be diverse and open and follow DEI and everything else.
00:40:49.700 Because it's not necessarily going to be friendly to those who are deemed the oppressors in today's society.
00:41:03.300 Can I pick the billion white people I want on the railroad track?
00:41:07.720 Was that discussed?
00:41:09.520 You got a billion?
00:41:10.340 Because if I can individually select them, I mean, my answer might change.
00:41:13.520 I might come up with a hundred.
00:41:14.800 I don't know a billion.
00:41:16.000 No, I've got a big list.
00:41:18.800 Check that twice.
00:41:19.700 The Glenn Beck Program.
00:41:23.720 So abortion is a tragic part of our lives as Americans.
00:41:26.560 And even after the overturning of Roe versus Wade, it continues to rob children of the right to live.
00:41:33.320 The majority of women that get an abortion, the majority say they would have chosen life if they just felt they had some support.
00:41:43.180 That's where pre-born comes in.
00:41:45.160 Pre-born blows away the myth by providing free ultrasounds and postnatal care.
00:41:51.420 So instead of just marching and shouting and whatever, they found a way into the hearts of moms by showing them the ultrasound.
00:42:01.000 It's not a clump of cells.
00:42:02.280 It's a baby.
00:42:03.000 Then that doubles the chance of mom choosing life.
00:42:07.860 But then they say, we're going to be here for you.
00:42:10.380 And they are for two years after the birth.
00:42:13.620 This is great.
00:42:14.520 You empower women and save babies.
00:42:17.240 Want to get involved?
00:42:19.240 Dial pound 250.
00:42:20.520 Say the keyword baby.
00:42:21.740 That's pound 250.
00:42:23.160 Keyword baby.
00:42:24.040 Or visit pre-born.com slash Glenn.
00:42:27.160 That's pre-born.com slash Glenn.
00:42:29.720 15 seconds.
00:42:31.160 All right.
00:42:31.800 We begin hour number two of the broadcast here in just a second.
00:42:35.800 Stand by.
00:42:36.120 Transcription by CastingWords
00:43:06.120 The Glenn Beck Program
00:43:07.860 Hello America, welcome to Monday.
00:43:12.960 Back from vacation, back to work today.
00:43:16.160 We begin in 60 seconds.
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00:43:22.300 Tell you about the Tuttle Twins Free Market Rules Curriculum.
00:43:26.900 It makes complex ideas really simple and very understandable for young minds
00:43:31.320 by using real world examples and exercises.
00:43:34.120 So if you're thinking of holiday gifts, this set of lessons is absolutely on that list.
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00:43:44.340 So if you're shopping today, today is the day.
00:43:46.780 The curriculum is designed with plenty of activities to help your kids and grandkids
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00:43:59.280 It's another entirely to provide an education on how money is made and saved.
00:44:05.500 And that's what this series from the Tuttle Twins teaches.
00:44:08.980 Go to TuttleTwinsBeck.com.
00:44:11.400 That's TuttleTwinsBeck.com.
00:44:14.000 Access this special Cyber Monday deal.
00:44:16.900 Get 50% off right now.
00:44:19.260 So I don't know if you went to the movies or did anything like that.
00:44:28.240 Usually on Black Friday, my family will go to a movie.
00:44:33.180 We went to Napoleon.
00:44:40.820 I'm sorry.
00:44:41.640 You fell asleep just recounting the name of the movie.
00:44:44.480 That's not good.
00:44:45.220 It was really well done.
00:44:49.480 Okay.
00:44:50.400 He's really good.
00:44:52.440 He's absolutely unlikable, as is everyone else in the movie.
00:44:56.800 But that's kind of the vibe.
00:44:58.740 That's the vibe of the story a little, right?
00:45:01.240 Yeah.
00:45:01.720 I mean, if they made him wonderfully likable, it wouldn't really be telling the story.
00:45:05.100 Can you throw in anyone likable?
00:45:07.220 Yet at some point, you're just like, this guy is a disgusting pig, and so is everybody else.
00:45:12.100 I mean, I watched it from the frame of mind.
00:45:17.140 Wow.
00:45:18.060 This wasn't the American Revolution.
00:45:20.900 The difference between the French Revolution and the American Revolution is night and day.
00:45:28.620 And if you don't know that, you should watch Napoleon and then do your homework.
00:45:34.900 Because it is entirely different.
00:45:38.220 Entirely different.
00:45:39.600 Just animals.
00:45:40.960 He was just an animal.
00:45:43.660 And seemingly, so was everyone else.
00:45:45.680 It was really interesting because it went from the rich and powerful all in their white wigs and their white faces and being French to a bloody revolution and then another bloody revolution with Napoleon.
00:46:02.520 And turns out the people in charge were the white painted faces with the wigs.
00:46:08.900 I mean, nothing really changed except who was wearing the wigs and the white faces.
00:46:14.560 And they were just disgusting.
00:46:16.760 Now, I saw the preview of it, and I thought it looked like it could be kind of okay.
00:46:24.040 Like, it seemed like he was a bad guy in a lot of ways, but an accomplished guy.
00:46:30.100 It was too much of his love life, and I really didn't care.
00:46:34.440 I really didn't care about his love life.
00:46:35.920 And he was just a pig.
00:46:37.440 Right.
00:46:37.720 And so was she.
00:46:38.320 But that was kind of known.
00:46:39.960 Yeah.
00:46:40.360 I just don't need to see.
00:46:41.660 I went because I thought it was going to be more, you know, of the – it looks like it's more of the military battles.
00:46:47.440 Right.
00:46:47.740 Yeah, that part was good.
00:46:50.000 And in, you know, two and a half hours, that was probably maybe 30 minutes.
00:46:56.820 So, you know what I mean?
00:46:57.880 I thought it was three hours.
00:46:59.180 Is that worth it?
00:46:59.720 Yeah.
00:47:00.920 Also, I will say it cost $200 million and made 20.
00:47:04.740 Yeah.
00:47:05.320 So, that's one-tenth of the cost.
00:47:07.220 They reported on day one that on Wednesday it made $7.7 million, which was way low.
00:47:18.120 Lower than they expected.
00:47:18.880 And they said that's going to come in way low.
00:47:21.500 It'll come in.
00:47:22.200 The five-day total will be $30 million.
00:47:24.700 They didn't even make $30 million.
00:47:26.920 Really?
00:47:27.920 You just said.
00:47:28.720 Well, $20 million was the weekend number, technically.
00:47:30.900 What was the five-day?
00:47:34.720 $32.5 million.
00:47:35.780 Okay, so it made their 30.
00:47:37.180 But that is a catastrophe.
00:47:38.480 Yeah.
00:47:38.700 In case you're wondering.
00:47:39.720 That's a...
00:47:40.160 Well...
00:47:40.640 They're not happy about that.
00:47:41.700 Well, what did Disney's Wish do?
00:47:46.980 Disney's Wish...
00:47:48.460 Well, I have the numbers out.
00:47:51.640 Did worse than Napoleon, which is...
00:47:53.600 That's saying something.
00:47:54.840 Mm-hmm.
00:47:55.440 You're taking your kids to a Disney movie.
00:47:58.140 That is always just a given.
00:48:02.440 What did it make?
00:48:03.260 It made $200 million, as much as Napoleon, $200 million to make.
00:48:09.420 Mm-hmm.
00:48:10.160 And what did they rake in?
00:48:11.720 For the weekend, $19.5 million.
00:48:14.840 God, none of these movies did anything this weekend.
00:48:16.640 Wow.
00:48:17.420 Isn't Thanksgiving weekend usually a really big movie weekend?
00:48:20.340 Big weekend.
00:48:20.540 Big weekend.
00:48:20.740 But what is there?
00:48:21.600 I mean, what do you want to see?
00:48:23.000 When Trolls Band Together, which is the third, I believe, in the Trolls saga.
00:48:29.020 I don't know.
00:48:30.260 I saw Trolls 1, and I thought...
00:48:32.140 I was full.
00:48:32.900 I was full.
00:48:33.300 I was like, I couldn't eat another bite.
00:48:35.040 As a person with two children, I have seen both of the Trolls' previous movies.
00:48:39.600 I'm not seeing this one yet, though.
00:48:40.740 Yeah.
00:48:41.140 And that one only did $17.5 million.
00:48:46.300 I think that was the second weekend it was out.
00:48:47.300 Hollywood is done.
00:48:48.020 And then there's apparently a Hunger Games sequel, prequel.
00:48:51.420 Oh, is that out?
00:48:52.280 It made $28 million.
00:48:54.200 I didn't even know that was out.
00:48:55.880 I didn't know either.
00:48:56.760 However, I guess it's made $100 million so far, came out on November 17th.
00:49:04.040 But $100 million domestically...
00:49:05.360 Wow.
00:49:05.660 Nobody is seeing movies.
00:49:06.720 No one is seeing movies.
00:49:08.840 These are scary numbers for a Thanksgiving weekend.
00:49:12.020 Because that used to be the thing that you did.
00:49:13.360 After you go out, you get fat on Thursday, you got nothing to do on Friday, you could barely
00:49:16.900 move.
00:49:17.300 You go out and you sit in a movie theater.
00:49:18.660 Yeah.
00:49:18.980 Right?
00:49:19.180 That's what you do.
00:49:19.640 That's your exercise.
00:49:20.320 Yeah.
00:49:20.520 I'm going to walk from my car to the movie seat.
00:49:22.820 That was it.
00:49:23.500 I'm healthy.
00:49:24.220 All of these movies didn't do much of anything.
00:49:27.400 Well, the Walt Disney Company came out and admitted that wokeness and culture wars have
00:49:33.760 had major impacts across the board.
00:49:36.900 No.
00:49:37.340 Yes.
00:49:38.200 Yes.
00:49:38.980 They told investors that the company's wokeness presents risks to its reputation and brands.
00:49:48.280 There's risks?
00:49:50.960 You mean there's more to be had?
00:49:55.560 What risk are they facing now?
00:49:57.860 I mean, I am the biggest Disney fan.
00:50:01.180 No.
00:50:02.440 No.
00:50:03.120 Not interested.
00:50:04.980 Not interested.
00:50:06.500 It's actually shocking that you've stood by this stance.
00:50:10.360 And you, because, you know, there's certain things that we love in life.
00:50:15.320 Yes.
00:50:15.600 Right?
00:50:15.900 Like, and it's hard to maintain all your principles when it comes down to those things.
00:50:20.140 Right?
00:50:21.020 Disney is.
00:50:21.140 You know, like with me and heroin.
00:50:22.600 It's like, I don't want to break the rules.
00:50:24.960 Right.
00:50:25.120 But heroin's so great.
00:50:26.840 It's like, people don't realize how high it gets you.
00:50:28.940 It's so fast.
00:50:29.660 I know.
00:50:29.840 And it works great every single time.
00:50:31.680 Sure.
00:50:31.860 Great product.
00:50:32.480 You're old school.
00:50:33.160 I'm old school.
00:50:34.000 And, you know, so I have problems with that particular line.
00:50:36.280 Right.
00:50:36.660 But you, with Disney, it's almost the same.
00:50:39.620 You're almost as into Disney as heroin addicts are into heroin.
00:50:45.800 And that's been your entire life I've known you that way.
00:50:48.620 I mean, to the point that you purchase, like, individual animation cells from early Disney.
00:50:54.720 It's not a big deal.
00:50:55.640 I mean, they sell those now.
00:50:57.660 But, like, I went to Disney World a few times.
00:51:02.500 It was fun.
00:51:03.720 That's how I would tell you about that story.
00:51:05.640 Yeah.
00:51:05.820 You buy individual animation cells.
00:51:07.880 You bought the plan, the original plan of Disney World as written by Walt Disney when
00:51:16.940 he apparently left it in an office after pitching it.
00:51:19.380 Yes.
00:51:19.700 You bought it.
00:51:20.900 Right.
00:51:21.120 Like, you are a nerd.
00:51:23.680 I agree.
00:51:24.240 A big, fat nerd.
00:51:25.920 Okay, no need to rub it in.
00:51:27.480 For Disney.
00:51:27.880 I am.
00:51:28.220 An overweight nerd when it comes to Disney.
00:51:31.140 Wait a minute, hold it.
00:51:31.760 And the fact is, they've screwed this up so badly, they've even lost you.
00:51:35.360 Yeah, I won't.
00:51:36.200 I will not.
00:51:36.880 My wife said, I was having a really bad week, I don't know, a few months ago.
00:51:41.140 And she said, I'm taking you to Disney.
00:51:43.680 She said, you just need to fill up.
00:51:47.160 And I said, Disney?
00:51:50.540 You think that would make things better?
00:51:53.380 She was shocked.
00:51:54.560 I'm just done.
00:51:55.660 No, I know.
00:51:56.140 I am done.
00:51:56.980 And I, like, I wouldn't consider myself a super Star Wars geek.
00:52:01.980 But, like, I'll go watch, like, all the movies that came out in the movie theater, I would
00:52:05.920 go watch opening weekend.
00:52:06.940 I was, like, into it enough for that.
00:52:08.380 Like, I'm not going to buy all sorts of memorabilia.
00:52:10.160 I'm not like that.
00:52:11.040 But, like, I was, you know, when the seventh one came out a few years ago, I was, like,
00:52:15.980 excited to go see it in the theaters.
00:52:17.700 It sort of lost me a little bit towards the end on just how bad those last couple movies
00:52:21.300 were.
00:52:21.640 Right.
00:52:22.180 But, honestly.
00:52:23.440 Did you miss the fourth, fifth, and sixth one?
00:52:25.460 Because.
00:52:26.660 Wait, the fourth, fifth, and sixth one were the original trilogy.
00:52:29.140 You're saying the prequels.
00:52:30.440 Right.
00:52:30.640 But that's what I'm saying.
00:52:31.360 I lasted through the prequels.
00:52:32.880 Like, I went to all the prequels.
00:52:34.860 They weren't very good.
00:52:35.760 I still lasted.
00:52:36.940 The next ones came out.
00:52:37.980 Even though I didn't think they were good, I still went to them.
00:52:40.300 I was that person.
00:52:41.280 Like, I would still go to get the updates.
00:52:43.080 And it kind of came to the end.
00:52:44.580 I was, like, all right, this isn't really any good.
00:52:46.300 Am I going to watch the series on Disney Plus?
00:52:48.480 What was it?
00:52:48.820 The Mandalorian.
00:52:49.760 Yeah.
00:52:49.960 And I was, like, all right, I'll watch it.
00:52:52.880 And then I started watching it.
00:52:54.140 And then the Gina Carano thing happened.
00:52:55.680 And I can't get myself to watch one minute of these other follow-ups.
00:52:59.780 It totally threw me from the series.
00:53:02.120 Disney says they are dying.
00:53:05.020 Dying.
00:53:05.700 They should be dying.
00:53:07.640 They should.
00:53:08.480 This is what happens when you poison yourself.
00:53:10.840 So, here, this according to the SEC filing that they did, Disney employs 225,000 workers
00:53:16.700 worldwide, they say that the key human capital management objective is making the workplace
00:53:23.920 more engaging and inclusive, creating a more diverse workforce.
00:53:28.620 Their diversity, equity, and inclusion objective include building teams that reflect the life
00:53:35.020 experiences of our audiences.
00:53:37.520 Now, they should try some families.
00:53:38.740 While employing and supporting a diverse array of voices in our creative and production teams.
00:53:45.160 They want to continue to amplify underrepresented voices.
00:53:49.600 They are going to cut back on movies, but not by very much.
00:53:56.880 And ESPN subscribers down by 7%.
00:54:01.200 Domestic advertising revenue is down from Disney 14%.
00:54:08.340 They say their business overall is okay.
00:54:11.940 Disney said misalignment with its consumers has impacted broadcast, cable, theaters, internet,
00:54:19.340 or mobile technology, and theme park attractions, hotels, and other resort facilities, and travel
00:54:26.140 experiences, and consumer products.
00:54:28.800 But other than that, it's great.
00:54:31.060 We got to keep going.
00:54:32.360 We got to keep going.
00:54:34.020 Wow.
00:54:34.300 They said the social goals present risks.
00:54:39.060 Further, consumers' perceptions of our position on matters of public interest, including our
00:54:45.560 efforts to achieve certain of our environmental and social goals, often differ wildly and present
00:54:51.720 risks to our reputation and brands.
00:54:56.440 Consumer tastes and preferences impact, among other items, revenue from advertising sales,
00:55:01.960 which are based on part for the ratings for the programs which our advertisements air.
00:55:06.480 Affiliate fees, subscription fees, theatrical film, the license, blah, blah, blah, blah, blah, blah.
00:55:12.460 They said its leisure business is affected by various factors, including health concerns and the
00:55:18.960 political environment.
00:55:20.840 The political environment.
00:55:21.980 It's not their decision making.
00:55:23.460 No.
00:55:23.720 It's the darn environment.
00:55:25.320 That political environment.
00:55:26.440 If you're an investor and you see that they say, because of perceptions of our position
00:55:36.060 on matters of public interest, including our social goals, et cetera, et cetera, impose
00:55:42.020 a risk to our reputation and brand, and you're watching it happen in real time, what the hell
00:55:49.140 are you doing with your money in Disney?
00:55:50.460 The good thing about being an investor is you can always change that and no longer be one.
00:55:56.560 But I mean, isn't there a class action lawsuit at some point where you're like, guys, have
00:56:03.740 you ever seen a bigger brand with better feelings attached to it than Disney 10 years ago?
00:56:13.680 No.
00:56:13.880 I mean, the worst thing was they overcharge.
00:56:18.780 Yeah.
00:56:18.920 You got that.
00:56:19.560 You got they merchandise too much.
00:56:21.060 Yeah.
00:56:21.180 You got the occasional like, I don't know, they're losing their way.
00:56:24.380 Like, I don't trust their programming as much as I used to.
00:56:26.800 Correct.
00:56:27.060 But it was pretty rare, honestly.
00:56:28.780 It was generally speaking, you felt like you could throw on a Disney movie and be completely
00:56:33.520 fine with it with your kids.
00:56:34.760 So 1929 is the first Mickey Mouse.
00:56:37.580 Mickey Mouse, Mickey Mouse today and what it means to a large number of the audience members
00:56:47.540 in the country, 40% that used to love Disney now are repelled by it.
00:56:55.540 Their movies, one after another, they're not.
00:56:58.740 Are they releasing Snow White or are they having to redo the whole thing?
00:57:02.420 I know they were redoing it.
00:57:04.320 Apparently, they're going to maybe include some dwarves this time.
00:57:08.500 Ah, okay.
00:57:09.640 Maybe seven of them.
00:57:10.980 I thought that was because before it was one.
00:57:13.220 Yes.
00:57:13.360 And then it was the six regular sized.
00:57:18.720 Different people.
00:57:20.120 Sorry.
00:57:21.180 Different people.
00:57:21.920 Different people.
00:57:22.660 It was one dwarf and seven different people.
00:57:25.420 Average sized.
00:57:26.740 Maybe I was going to say, but I know that's wrong.
00:57:28.600 What is average?
00:57:30.000 How dare you say that?
00:57:30.840 Well, it's a mathematical measure is what it is.
00:57:33.400 Yeah.
00:57:33.700 I mean, I've never seen a company do this faster than Disney.
00:57:39.580 And I have to tell you, if I had stock in that company, I would be looking for somebody
00:57:45.000 with a class.
00:57:45.680 I don't, I mean, I don't know enough about the law.
00:57:47.700 Well, DeSantis tried to do this, right?
00:57:48.760 I don't know what the status of it is, but he was trying to sue Disney based on, or was
00:57:53.480 threatening to sue Disney based on the amount of, I guess, stock that the state holds in
00:57:59.320 some retirement fund or whatever.
00:58:00.720 And they were saying that this was some sort of class action situation.
00:58:03.420 Now, I don't know if that would hold up or if he would win.
00:58:05.320 Yeah.
00:58:05.400 I don't know either.
00:58:06.200 But I think they're, this is the real, they're knowingly tubing it.
00:58:10.440 They're knowingly doing it.
00:58:12.120 And they're saying it like, I mean, I don't know though.
00:58:14.400 I mean, I look, if you've gone back, wanted to, if, if right now you want to take a stance
00:58:19.840 on abortion and you were to say, Oh, I'm pro-life.
00:58:23.020 It's my money.
00:58:23.580 And the audience said, but let's say you were a public company and the audience.
00:58:27.080 That's different.
00:58:27.920 Okay.
00:58:28.220 That's wildly different.
00:58:29.500 It is, but there are public companies that have points of view.
00:58:32.280 Sure.
00:58:32.840 And, and you're, if you're an oil company and you said, you know what, everyone, there's
00:58:36.960 lots of people out there saying, uh, you know, um, uh, green energy, green energy is the
00:58:42.560 way to go.
00:58:42.960 So we're going to put our money in green energy.
00:58:44.300 And like, we believe that's important.
00:58:46.380 Like, well, you know, that's the decision of the company.
00:58:49.620 And if you don't want to invest in it, you shouldn't invest in it.
00:58:51.520 Like if you were going to say, like, if you were going to take a stand and say on pro-life
00:58:54.720 and the audience hated you for it and they all bailed and you lost all your money and
00:58:58.340 you're a public company, they could fire you.
00:59:01.620 But like, it's what you believe the company should do.
00:59:04.860 And if they, if they believe that wokeness is the way to go, well, they can make that decision.
00:59:10.060 I think the company's going to tank over it, but I mean, it's still their company to
00:59:14.460 make those decisions.
00:59:16.200 You're as a shareholder though, your job is to help them or, or, you know, uh, voice
00:59:26.020 your concerns.
00:59:26.960 Yeah.
00:59:27.460 If, if you're intentionally tubing your stock and I don't know if you can describe it that
00:59:33.280 way, of course, but they know it's risk.
00:59:35.860 They know it's risk.
00:59:36.560 They know it's problematic.
00:59:37.420 They were saying that we hold something to a higher standard.
00:59:40.540 Now their standard is dumb and it's ruining the company and they've, they've literally
00:59:45.780 lit on fire a hundred years of, of goodwill.
00:59:49.080 But all that being said, I mean, this is, you can pressure them internally to get them
00:59:55.900 to throw out the people who are doing this.
00:59:57.920 They're not going to do that.
00:59:58.740 I know they're not.
00:59:59.540 The problem is Bob Iger and everybody in the company, there's 225,000 employees.
01:00:05.680 They've already self-selected.
01:00:09.840 A lot of the employees that would have stood up against this are gone from self-selection.
01:00:15.060 I just don't think you're ever going to turn this thing around back in just a second.
01:00:18.080 The holidays have arrived.
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01:01:21.580 By the way, if you're searching for something to get for Christmas, let me just say right
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01:04:17.280 The Glenn Beck Program.
01:04:19.880 You ever walk by your dog's food bowl, look down into the pile of kibble and thought,
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01:05:48.320 So Argentina had their runoff election.
01:05:52.460 And the news is stunning.
01:05:56.780 Javier Malay, is that how you say his name?
01:06:01.000 He was elected as Argentina's next president.
01:06:05.820 He is a libertarian.
01:06:07.220 He is the exact opposite of really anything, any kind of politician that we have seen here that is even close to being president of the United States.
01:06:21.620 Even Donald Trump.
01:06:22.780 Donald Trump still plays within some of the norms.
01:06:28.300 He is often compared.
01:06:30.380 This guy in Argentina is often compared to Donald Trump.
01:06:34.460 But I don't think they're comparable.
01:06:36.040 I think just because he's outspoken.
01:06:38.300 Like, that seems to be the largest similarity there.
01:06:41.600 Right?
01:06:41.700 Like, he's super outspoken.
01:06:43.180 But he describes himself as an anarcho-capitalist, which is not how Donald Trump would describe himself at all.
01:06:48.840 No.
01:06:48.920 Not at all.
01:06:49.660 He is going to get rid of the...
01:06:52.380 That's what he says he's going to do.
01:06:54.080 Get rid of the peso because it's falling and he's going to put the dollar in.
01:06:58.660 Good luck with that one.
01:07:00.180 He is also getting rid of their Federal Reserve Bank.
01:07:03.440 Like, he's getting rid of hundreds of programs.
01:07:07.820 He is just going to cut this government to the bone.
01:07:10.780 Have you seen the video of him walking in front of the whiteboard and he's just pulling off the stickers of all the different agencies?
01:07:15.700 Like, the Department of Families and Health.
01:07:19.860 God!
01:07:20.460 Like, every single one.
01:07:21.580 He's just pulling off and throwing it away.
01:07:23.380 Now, look.
01:07:23.920 Is he going to do those things?
01:07:25.600 I hope so.
01:07:26.680 Probably a lot of those agencies are incredibly pointless, just as they are here.
01:07:31.140 No.
01:07:31.680 Not knowing the full story of the structure of the Argentinian government.
01:07:36.500 I'm going a little bit on guesswork there.
01:07:41.540 But, I mean, every government is like that, especially in South America.
01:07:44.800 I will bet you that Art Laffer would like this guy.
01:07:50.700 We should call Art Laffer because he knows Argentina real well.
01:07:54.240 He did this back in the 80s.
01:07:56.000 Argentina always, you know, succeeds, becomes wealthy, and then goes to socialism and destroys itself.
01:08:03.260 And then, you know, goes back to its roots and then it destroys itself.
01:08:06.580 So, he did that in the 80s.
01:08:09.880 He restored it in the 1980s.
01:08:11.660 Well, they're back.
01:08:13.580 But, I mean, look.
01:08:14.400 The promise is high here.
01:08:15.740 I just, I do hesitate.
01:08:18.180 You know, there's a lot of ifs that could happen here, right?
01:08:20.360 Like, I don't know everything about this guy.
01:08:22.420 Who knows what policy he actually implements when he's in office.
01:08:26.320 What crazy thing we don't know about him.
01:08:28.220 Who knows?
01:08:29.140 At some level, he's still a South American politician.
01:08:31.740 So, I'm going to hold out hope.
01:08:33.440 But, the things he said are really good, really positive.
01:08:36.580 If he actually does them, if they work, it could be an incredible thing.
01:08:42.000 I mean, you know, it might inspire countries all in the region and all over the world to replicate that process.
01:08:47.880 So, there's really high hopes for someone who would come in and actually do this stuff.
01:08:51.360 You know, what's really interesting is how cautious people are on saying, I like this guy.
01:08:58.560 I don't know.
01:08:59.440 I don't know enough about him.
01:09:00.640 Yeah.
01:09:00.820 I like what he says so far of what I've heard.
01:09:03.880 What I've heard has been very good.
01:09:05.080 But, I don't know.
01:09:05.960 Same thing with Gert Wielders.
01:09:07.740 Gert Wielders could become the next prime minister.
01:09:11.700 The next Dutch prime minister.
01:09:13.320 Now, he's just won a massive election.
01:09:16.620 He didn't win enough seats to become prime minister.
01:09:19.460 But, if he cobbles together a few more seats, he may become prime minister.
01:09:24.660 This is a guy who's been on this show.
01:09:25.880 And, we were told by everybody, don't have money.
01:09:27.900 Yeah, he's too bad.
01:09:28.500 He's too bad.
01:09:28.940 He's too bad.
01:09:28.960 He's too dangerous.
01:09:29.860 He says bad things.
01:09:30.800 We thought he was delightful.
01:09:33.060 At least in the interview.
01:09:34.100 He was wonderful.
01:09:35.360 Seemed fine in the interview.
01:09:36.840 Yeah.
01:09:36.960 So, but we always have to say, well, but I'm not sure.
01:09:42.120 But, do you ever hear anybody backpedaling on Justin Trudeau?
01:09:46.440 No.
01:09:46.880 No.
01:09:47.180 No, they never do that.
01:09:47.780 I mean, the things that that guy has done, and nobody ever says, well, I don't agree
01:09:53.820 with everything.
01:09:55.300 Right.
01:09:55.500 He's not a bad, it's not a bad thing.
01:09:57.640 But, I don't know.
01:09:58.480 I hold myself to a higher standard than the left holds themselves.
01:10:02.280 Yeah, so do I.
01:10:03.100 So, I hope that we would have higher standards than them.
01:10:05.600 Yeah, I don't have a problem with it.
01:10:07.700 Yeah.
01:10:07.880 I just, I do have a problem with, it doesn't matter what you do on the left.
01:10:13.740 Doesn't matter.
01:10:14.380 Doesn't matter.
01:10:14.660 If you turn into a Castro or a Stalin, it doesn't matter.
01:10:18.380 Apparently, you can kidnap and murder thousands of people.
01:10:22.040 Yeah.
01:10:22.280 And you'll still get cheered on by these people on the left.
01:10:26.540 And, you know, the situation is, you know, I don't know, as a conservative, like, we talk
01:10:32.840 about principle a lot.
01:10:33.920 I do think it's important.
01:10:34.980 And I'm much, I'm much, I'm happy to criticize someone who's supposedly on the right if they're
01:10:40.980 wrong.
01:10:41.220 If they're wrong.
01:10:41.680 Right.
01:10:41.860 Like, I just don't want to stand by them just because they, they align themselves with
01:10:47.920 my general political outlook.
01:10:50.020 But that is not how the left operates.
01:10:51.940 And, you know, you can make the argument that politically, you know, in a pragmatic
01:10:55.440 political sense, you know, where the ends justify the means, that's the right approach.
01:11:01.700 I just, that's not how I look at the world.
01:11:03.320 I don't think that's how you look at the world.
01:11:04.480 And I don't think that's how most conservatives look at the world.
01:11:06.340 Maybe to our detriment when it comes to winning and losing sometimes.
01:11:09.060 But it's okay.
01:11:10.420 So there's two people now that the press say, out of control, these guys are worse than
01:11:16.340 Hitler.
01:11:17.260 Okay.
01:11:17.620 Guy in Argentina and Gert wielders.
01:11:20.180 They may end up being that.
01:11:21.960 I don't think so.
01:11:23.120 But they might.
01:11:24.240 I don't know.
01:11:25.460 It's not my country.
01:11:26.720 So I don't follow them as closely.
01:11:28.880 Um, however, I might be for them kind of, I hate to say that cause I don't know enough
01:11:35.260 about them, but what I see, I like, however, they might go bad, but here's what you should
01:11:43.880 take away from all of this, uh, movement politically.
01:11:47.960 Cause it's happening in Europe and it's happening in South America.
01:11:51.800 It is moving away hard from the left and going right.
01:11:58.960 In the case of Argentina, a small government, right?
01:12:03.760 I mean, very small libertarian, right?
01:12:06.980 And everybody is losing their minds.
01:12:10.560 A libertarian government is not powerful enough to make you do anything.
01:12:18.360 That's the good thing about small government.
01:12:20.740 It can never really harm you.
01:12:22.600 It's not spying on you because it's not big enough.
01:12:28.460 These guys, if they work, this is going to be a huge move, uh, for the world back to
01:12:38.040 more freedom and common sense.
01:12:40.540 Gerd Wielder's one, you know, why?
01:12:43.420 Because of immigration.
01:12:46.920 The Dutch are tired of having people just rape their daughters, kill on the street and
01:12:55.180 no ramification, no ramification.
01:12:58.020 You don't have to the, you know, when, when you go over to Sweden, uh, you go spend any time
01:13:05.160 in the Norwegian, uh, countries, you will see how accepting they are, how loving they
01:13:11.600 are, but it is a very, very, um, non-diverse population until recently.
01:13:20.040 And now the non-diverse population coming up from the Middle East doesn't want to be Swedish.
01:13:26.440 They don't want to be Dutch.
01:13:27.620 They don't care.
01:13:28.600 They want the free stuff, but they'll have their own no-go zones.
01:13:34.000 They'll have their own communities.
01:13:35.840 And it's not a part of that culture.
01:13:40.560 Everybody has turned a blind eye.
01:13:43.460 You're now seeing the immigration be a problem all through Europe.
01:13:48.260 You're going to see it as a problem here in America soon.
01:13:51.820 I mean, I can't believe how much has changed in, uh, on our border and relatively nobody's
01:14:00.360 talking about it.
01:14:02.300 That's one of the biggest changes in my lifetime.
01:14:06.640 And nobody's really talking about it.
01:14:09.700 When that poses a problem, when we start to have terror attacks or whatever, we start
01:14:16.300 to collapse our economy because we're, we're overrun with this, in this lifeboat called
01:14:23.160 America, there are too many people trying to get into the boat.
01:14:27.560 Then, then you really have problems.
01:14:32.500 So I'm, I'm glad to see that before things catch completely on fire over in Europe and in
01:14:40.380 South America, there's a couple of places that may turn things around.
01:14:45.740 Yeah.
01:14:46.320 And I think too, this idea that maybe turning, just leaning air on the side of Liberty.
01:14:53.920 Yes.
01:14:54.480 That's what's encouraging about the guy in Argentina, Malay for, for me, is that like,
01:14:58.840 he might look, we, we all know Ronald Reagan wanted to get rid of the department of education.
01:15:02.540 He wasn't able to do it.
01:15:03.340 And the fed.
01:15:04.300 Um, what, will this guy be able to get rid of all these agencies?
01:15:06.920 He pulled off his stickers off the whiteboard.
01:15:08.780 It's going to be really hard.
01:15:09.840 I assume there's a million different people that are inside the government and have been inside
01:15:15.380 in the government structure forever that will do everything they can to stop him at every
01:15:19.740 turn.
01:15:20.280 But just the fact that he's attempting to do these things and pushing in that general
01:15:24.360 direction, it's hard to see how they can make the country worse.
01:15:28.400 I, you know, at the very least they take a little bit less of your money.
01:15:31.840 I will tell you this, it is like never before, uh, you are going to be assassinated, uh, politically
01:15:41.940 your reputation, your life, everything will be assassinated by the press and by the left.
01:15:49.440 And if you get these people in who are serious about taking apart the fed and some of these
01:15:56.420 things that are absolute institutions that are deep, you start having a president take
01:16:02.940 on the intelligence community here in America, you may be looking at worse than a political
01:16:10.020 assassination.
01:16:11.740 That's really dangerous to do.
01:16:14.300 And I never thought I'd feel that way in America, but I do don't you, it is.
01:16:20.980 Yeah.
01:16:21.220 I mean, it is, uh, I mean, look what they did to Donald Trump and look what you, what I think
01:16:28.800 they're willing to do to Donald Trump.
01:16:31.640 Somebody steps up and is effective at taking on the deep state.
01:16:38.960 God help him.
01:16:40.520 God help him.
01:16:42.940 There's a lot.
01:16:43.700 Yeah.
01:16:43.820 I mean, like you're standing up against people who have entrenched interest in something that
01:16:48.220 you don't want and you're trying to, you're trying to destroy and they have all kinds
01:16:52.680 of power, all sorts of power.
01:16:54.500 I mean, one of the first things we talked about with Donald Trump and in a critical way
01:16:58.760 at some level was to say, Hey, like you better be sure if you're going to critique our, our,
01:17:08.000 and a critique is not the right word for what Donald Trump was doing, but like go after
01:17:11.820 the intelligence agencies because they're not going to sit back and just let that go on.
01:17:17.600 You better be sure.
01:17:18.760 Now he did it anyway.
01:17:20.100 And he had to deal with the effects of it.
01:17:22.180 You know, I mean, it's a risky strategy.
01:17:25.180 At times it feels like, you know what?
01:17:26.920 It really does need to be done.
01:17:28.160 And I'm glad he's done it, but he's dealt with lots of personal discomfort and continues
01:17:34.940 to over, I believe those attacks at the beginning and more as he went on.
01:17:41.080 I mean, like the, they're not going to just give up their power.
01:17:44.200 That's not what happens.
01:17:45.320 I know.
01:17:45.600 I wish we just cobbled together a coalition.
01:17:48.440 I really do.
01:17:49.540 I wish we, I, I, uh, Donald Trump is so focused now has to be so focused on what's going on
01:18:01.740 in his life.
01:18:03.520 I wish we would put a coalition together where everybody gets behind somebody and, and just
01:18:09.880 says, okay, what's best for the country, all of us getting together right now and developing
01:18:15.900 something that a majority of Americans can get behind.
01:18:20.080 Cause I, I just, I won't believe it.
01:18:22.900 If, if this guy, Joe Biden can win, I mean, I've never seen a guy who has done this with
01:18:32.960 war and made things as unstable do well in a presidential election.
01:18:38.040 Never seen a president who has an economy like this do well in a presidential election.
01:18:44.200 I've never seen a guy who is more incompetent do well in, I mean, this guy has everything
01:18:51.180 going against him and it's still competitive.
01:18:55.780 How's that possible?
01:18:57.780 Just how is that possible?
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01:20:10.980 The Glenn Beck Program.
01:20:32.380 Welcome to the Glenn Beck Program.
01:20:34.440 By the way, if you're looking for a great Christmas gift, we've got a big sale on Blaze TV membership.
01:20:39.940 You can get that now at blazetv.com slash Glenn.
01:20:43.820 Biggest savings of the year.
01:20:45.540 Also, Glenn Beck merch.com.
01:20:48.340 Get all of your, you know, Glenn Beck related items there for any big fans of the program.
01:20:55.100 Also, my art is for sale.
01:20:57.600 All of the proceeds for my art goes to the American history collection that my wife and I, I say my wife
01:21:06.060 because she's really the one that says yes or no, uh, that my wife and I have begun to preserve American history.
01:21:12.340 You can get, uh, originals.
01:21:14.460 You can get chiclays.
01:21:15.940 Uh, you can, uh, get autographed prints and you can also just get posters and you can find that all at glennbeckart.com.
01:21:24.620 Great Christmas gift.
01:21:26.740 Uh, when we come back after the top of the hour, I, I still, I'm from the Pacific Northwest.
01:21:35.380 So I'm aware of all of the treaties with the Native Americans and the fight over the salmon and everything else.
01:21:43.960 I've heard it my whole life.
01:21:45.640 Okay.
01:21:47.000 What does this mean to you that the United States government is in quote secretive negotiations between the government and environmental groups?
01:21:59.800 This according to four Northwest Republican lawmakers who have asked for the details to be released.
01:22:07.240 The groups have called for the removal of the dams on the Columbia and snake river.
01:22:15.060 Now, what does that mean to the average American?
01:22:17.740 Yeah.
01:22:17.860 I mean, I've heard a little bit about this story, but so I know a little bit of how serious it might be, but honestly, as some, you know, dope who grew up in Connecticut and New York, I would think, I don't, I don't even know what it's about.
01:22:30.600 What does it matter?
01:22:31.260 Is it that important?
01:22:31.960 This one, everyone should pay attention to this one.
01:22:37.700 It could be the difference between starvation and eating.
01:22:43.580 This one affects so much farmland and the, the basic nature of the Pacific Northwest and also the power consumption and the power availability in the Northwest.
01:23:00.480 The land back program.
01:23:01.500 Rough greens.
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01:23:19.900 And that's why I feed Uno rough greens.
01:23:22.000 It's not a dog food.
01:23:23.200 It's a supplement that you sprinkle on the dog's food created by naturopathic, Dr. Dennis Black, full of vitamins, minerals, probiotics, antioxidants, you name it.
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01:23:47.500 You just pay for shipping.
01:23:48.500 Go to rough greens, ruffgreens.com slash Beck or call 833-GLEN-33.
01:23:54.080 That's 833-GLEN-33, roughgreens.com slash Beck.
01:24:00.160 Final hour of the program coming up next.
01:24:02.160 Stand by.
01:24:02.580 15 seconds.
01:24:12.100 15 seconds.
01:24:12.400 Transcription by CastingWords
01:24:42.400 The Fusion of Entertainment and Enlightenment
01:24:45.580 This is the Glenn Beck Program
01:24:49.480 Hello America, welcome to the final hour of today's Glenn Beck Program
01:24:54.700 Standby, we're going to talk to you about the lack of energy and the lack of food coming up this hour
01:25:02.580 Standby, in 60 seconds we begin
01:25:05.020 Alarm bells are ringing all over the U.S. economy
01:25:08.060 Moody's just downgraded our credit outlook to negative
01:25:12.020 This isn't just number crunching, it's a dire warning about our growing debts and sinking ability to pay them off
01:25:20.460 I remember when we had A++ Moody's ratings
01:25:28.860 And everyone told me it will never be downgraded
01:25:32.040 We're now downgraded to negative
01:25:34.600 It is high time to wake up to the real state of our nation's financing
01:25:40.380 And our finances, they are in trouble and chaos
01:25:44.340 Now, there is something that traditionally you can do in times like these
01:25:50.480 And that is gold
01:25:52.540 Prices are up 12% this month alone
01:25:57.020 Predictions say it could hit $3,000 next year
01:26:00.140 I hope not, because that means we're in bigger trouble
01:26:04.160 But it is the refuge against any kind of insanity or inflation usually
01:26:10.840 In light of all of this, Goldline steps up with an offer you can't ignore
01:26:14.940 For every 100 ounces of silver that you buy
01:26:18.400 100 ounce silver bar that you buy
01:26:22.120 They'll throw in a 2 ounce maple fleck silver bar absolutely free
01:26:26.440 In these uncertain times, Goldline is giving you a chance to anchor your finances with something real
01:26:31.780 Something tangible
01:26:33.340 866-GOLDLINE
01:26:34.960 866-GOLDLINE
01:26:36.220 Or goldline.com
01:26:38.120 So, they're close to a release of a fourth hostage group
01:26:49.400 Hamas is asking for more time
01:26:52.300 Looks like the world is going to do that
01:26:54.740 That Biden administration is now actively working to extend the truth
01:26:59.800 I hope Israel does what it feels it needs to do for its security
01:27:07.020 And damn the rest of the world
01:27:09.540 I know that's horrible to say if you're somebody who has a member of your family as a hostage
01:27:16.680 But, at least in America, we've, up until this administration
01:27:23.400 We never dealt with hostage takers
01:27:27.620 We didn't do it
01:27:29.380 It doesn't set a good example
01:27:31.960 And it will only lead to worse things
01:27:35.660 But as we look at some of the people coming back
01:27:39.220 Among the grander disasters
01:27:43.560 We see the personal tragedies
01:27:47.840 And we see it so much
01:27:50.460 It's hard to even focus on one story of one kind or another
01:27:55.740 Illness, the rape, the abuse, the wars
01:27:58.560 The list of what people can do to other people
01:28:02.160 Is enormous
01:28:03.540 And the problem, I think
01:28:08.680 Is that none of us ever really follow up on it
01:28:11.780 Especially the long term
01:28:13.340 We'll tell you about the hostages released
01:28:15.740 But are we going to go back in three or four years
01:28:19.020 And see what happened to them
01:28:21.340 What happened to that woman who was raped in Chicago
01:28:24.360 The man that was beaten and mugged in New York
01:28:27.540 The children that are rescued from abuse or sex slavery
01:28:32.940 We might see the rescue
01:28:35.460 But we don't follow up
01:28:38.160 Did they get better?
01:28:39.060 Did they rebuild their lives?
01:28:40.400 Did they move on?
01:28:42.340 Did they perhaps even turn their story into something positive for themselves or others?
01:28:46.660 Somehow
01:28:47.140 Or did they forever remain scarred?
01:28:51.640 Because I think this is the important thing
01:28:54.020 Over the Thanksgiving holiday
01:28:56.880 I was
01:28:57.560 Especially grateful for forgiveness
01:29:01.060 And a chance to start all over again
01:29:03.480 I can't imagine if I just would have wallowed in my own garbage
01:29:09.960 Which was a choice
01:29:10.940 Will people become bitter and angry
01:29:21.300 At themselves?
01:29:23.140 At society?
01:29:24.260 The world at large?
01:29:26.040 God?
01:29:27.760 Will they forever be ruled by their past?
01:29:32.260 Post-traumatic nightmares?
01:29:33.820 Are their lives just going to be nothing but a long memory of pain?
01:29:40.600 And can we blame them really?
01:29:43.520 Or will we celebrate the lives of those who died?
01:29:47.280 The lives of those who struggle?
01:29:49.900 All those who are suffering today
01:29:53.120 That might
01:29:56.120 Take that experience
01:29:58.700 To help others
01:30:00.980 So all that suffering is not in vain
01:30:03.160 Even if it's just
01:30:04.040 Help themselves
01:30:05.420 They stand up
01:30:07.320 They speak
01:30:07.880 They live
01:30:08.600 And they do it
01:30:10.800 To show that
01:30:11.800 The hell that is life
01:30:13.960 Can be overcome
01:30:15.160 I have had
01:30:18.220 Many cryptic conversations
01:30:21.320 About my children
01:30:22.540 Over the years
01:30:23.800 Especially as they have gotten older
01:30:26.300 And if you're a long time listener
01:30:28.580 To this program
01:30:29.180 You know that we have had
01:30:30.640 Very frightening
01:30:33.420 Issues
01:30:35.680 With
01:30:37.060 A couple of my kids
01:30:39.060 In particular
01:30:41.040 I went to
01:30:44.580 Tony Robbins
01:30:45.400 With my son
01:30:46.220 And I called Tony
01:30:47.360 And I said
01:30:47.980 Tony
01:30:48.540 These are some of the problems
01:30:51.600 And he said
01:30:52.560 Glenn
01:30:53.200 Take your son
01:30:54.320 Come with him
01:30:54.980 He said
01:30:56.400 I'd be shocked
01:30:57.860 If that didn't turn around
01:30:59.920 I have never seen
01:31:02.720 A bigger turnaround
01:31:03.760 In anyone
01:31:05.140 Like I've seen in my son
01:31:07.860 It is
01:31:11.300 It's remarkable
01:31:13.580 I was standing next to him
01:31:18.260 We're
01:31:21.660 What?
01:31:22.660 14,000 people
01:31:23.880 And Tony
01:31:26.240 At one point
01:31:26.880 Has you
01:31:27.620 Scream out
01:31:28.680 Your
01:31:29.120 Your biggest obstacle
01:31:31.440 And just scream it out
01:31:33.820 And I'm screaming something
01:31:36.520 And my son's screaming something
01:31:37.860 And I listen
01:31:38.520 I hear my son
01:31:39.980 Say
01:31:41.340 Something
01:31:45.060 Something
01:31:46.300 In regards to
01:31:48.200 I can be
01:31:51.520 Greater than my father
01:31:54.200 Something like that
01:31:55.960 Which I was
01:31:57.880 Both humbled
01:31:58.980 And horrified by
01:32:00.380 Because I just
01:32:02.740 My son just needs to be himself
01:32:05.420 And he'll be
01:32:06.140 Greater than me
01:32:07.600 Just
01:32:07.940 Just be you
01:32:09.860 He's
01:32:16.680 Changed
01:32:19.480 And I credit
01:32:21.880 Tony
01:32:22.300 For this
01:32:23.220 It is
01:32:25.360 It's remarkable
01:32:27.760 To see him go
01:32:29.340 From a
01:32:30.340 Young man
01:32:32.080 Confused
01:32:33.320 Lost
01:32:33.880 On the trail
01:32:34.840 Off the trail
01:32:35.620 On the trail
01:32:36.220 Off the trail
01:32:36.940 To
01:32:38.160 A kid
01:32:40.360 That is
01:32:41.060 Just a man
01:32:42.300 Who is
01:32:43.360 Determined
01:32:44.340 To do
01:32:45.980 Whatever it is
01:32:46.880 He sets his mind to
01:32:47.960 Without hesitation
01:32:49.720 I mean
01:32:52.020 He's walking
01:32:52.620 Straighter
01:32:53.320 It's
01:32:54.800 It's
01:32:55.720 Remarkable
01:32:56.400 And this is a kid
01:32:59.540 Who have at times
01:33:00.760 Been
01:33:01.460 Completely
01:33:02.620 Hopeless
01:33:03.840 And thinking
01:33:05.180 I'll never
01:33:06.040 Amount to
01:33:06.580 Anything
01:33:07.020 I'll never
01:33:08.100 Do anything
01:33:09.380 Why even
01:33:10.400 Try
01:33:11.020 Because I'll
01:33:12.980 Never amount
01:33:13.960 Somebody
01:33:17.020 Who as a
01:33:17.780 Kid
01:33:18.180 Filled
01:33:19.760 Himself
01:33:20.200 With just
01:33:21.100 This negative
01:33:21.960 Tape
01:33:22.600 Of
01:33:23.000 Not being
01:33:25.140 Worthy
01:33:25.840 And we
01:33:28.400 Tried
01:33:28.860 And tried
01:33:29.360 And tried
01:33:29.920 And tried
01:33:30.480 And tried
01:33:31.120 And this
01:33:36.140 Worked
01:33:36.720 At least
01:33:39.940 As long
01:33:40.500 As he
01:33:40.820 Chooses
01:33:41.360 To do
01:33:41.960 It
01:33:42.180 I think
01:33:46.880 That is
01:33:47.740 The point
01:33:49.680 He didn't
01:33:54.560 Change
01:33:55.140 He just
01:33:56.600 Stopped
01:33:56.940 Believing
01:33:57.380 The lies
01:33:58.260 That he
01:33:58.560 Was telling
01:33:58.980 Himself
01:33:59.480 And he
01:34:01.660 Just started
01:34:02.100 To believe
01:34:02.700 Oh
01:34:03.440 I can
01:34:05.040 Do it
01:34:05.440 In a
01:34:07.080 World
01:34:07.440 That teaches
01:34:08.140 Us
01:34:08.760 That you
01:34:10.360 Are not
01:34:10.980 Good
01:34:11.200 Enough
01:34:11.580 I mean
01:34:12.440 This is
01:34:12.860 The point
01:34:13.460 Of
01:34:13.780 Advertising
01:34:14.700 You
01:34:16.020 Are not
01:34:16.940 Complete
01:34:17.760 Unless you
01:34:18.540 Wear this
01:34:19.160 Brand
01:34:19.600 Buy this
01:34:20.260 Brand
01:34:20.680 Go to
01:34:21.240 This
01:34:21.540 Place
01:34:22.020 Vacation
01:34:23.260 Look
01:34:23.920 Your
01:34:24.280 Living
01:34:25.420 Room
01:34:25.780 Looks
01:34:26.160 Like
01:34:26.480 This
01:34:26.960 Even
01:34:28.240 Your
01:34:28.500 Smile
01:34:29.160 Is a
01:34:29.660 Certain
01:34:30.020 Way
01:34:30.520 On
01:34:30.980 Facebook
01:34:31.500 Everything
01:34:32.140 Is telling
01:34:32.920 You
01:34:33.320 You're
01:34:34.140 Not
01:34:34.380 Enough
01:34:34.900 And then
01:34:36.780 On top
01:34:37.320 Of it
01:34:37.640 It
01:34:38.580 Feels
01:34:39.080 At times
01:34:39.680 Like the
01:34:40.080 World
01:34:40.520 Is
01:34:40.940 Just
01:34:41.600 Turning
01:34:42.660 Inside
01:34:43.200 Out
01:34:43.620 And
01:34:44.220 Doing
01:34:45.280 All kinds
01:34:45.820 Of
01:34:45.960 Things
01:34:46.260 To
01:34:46.520 You
01:34:46.880 You're
01:34:47.900 Like
01:34:48.040 Really
01:34:48.300 God
01:34:48.640 Do I
01:34:48.940 Need
01:34:49.100 This
01:34:49.320 To
01:34:49.540 Really
01:34:50.000 Seriously
01:34:50.660 Thank
01:34:51.380 You
01:34:51.600 Thank
01:34:52.260 You
01:34:52.500 Some
01:35:00.300 Some
01:35:00.320 People
01:35:00.620 Just
01:35:00.940 Accept
01:35:01.400 It
01:35:01.520 Oh
01:35:01.680 That's
01:35:01.940 God's
01:35:02.220 Will
01:35:02.420 No
01:35:02.880 God's
01:35:03.180 Not
01:35:03.340 Going
01:35:03.480 To
01:35:03.560 Give
01:35:03.720 You
01:35:03.820 Something
01:35:04.000 You
01:35:04.160 Can't
01:35:04.420 Handle
01:35:04.740 But
01:35:09.940 It
01:35:10.120 It's
01:35:10.960 True
01:35:11.480 I
01:35:12.380 Think
01:35:12.780 You
01:35:17.240 Know
01:35:17.360 God
01:35:18.300 Obviously
01:35:18.940 And
01:35:21.120 I
01:35:21.260 Don't
01:35:21.500 I
01:35:22.100 Don't
01:35:22.280 Know
01:35:22.500 His
01:35:22.780 Will
01:35:23.140 I
01:35:24.800 Barely
01:35:25.320 I
01:35:25.480 Certainly
01:35:26.100 Don't
01:35:26.340 Know
01:35:26.460 It
01:35:26.580 For
01:35:26.720 You
01:35:26.920 Because
01:35:27.120 I
01:35:27.240 Barely
01:35:27.520 Know
01:35:27.700 It
01:35:27.840 For
01:35:28.000 Me
01:35:28.200 Honestly
01:35:28.680 Other
01:35:29.360 Than
01:35:29.740 We're
01:35:30.860 Supposed
01:35:31.180 To
01:35:31.300 Be
01:35:31.440 Happy
01:35:31.740 And
01:35:31.940 Productive
01:35:32.460 We're
01:35:34.480 Supposed
01:35:34.820 To
01:35:35.000 Do
01:35:35.420 Good
01:35:35.920 Things
01:35:36.520 It's
01:35:36.900 It's
01:35:37.100 Amazing
01:35:37.440 To
01:35:37.680 Me
01:35:37.860 How
01:35:38.700 Many
01:35:39.000 Things
01:35:39.720 Our
01:35:41.100 Body
01:35:41.540 Does
01:35:42.180 That
01:35:44.420 Reinforce
01:35:46.720 Good
01:35:47.620 Things
01:35:48.020 You
01:35:48.320 Exercise
01:35:48.840 You
01:35:49.360 Feel
01:35:49.640 Better
01:35:49.960 It
01:35:52.340 Creates
01:35:52.860 Endorphins
01:35:53.620 That
01:35:54.820 All of
01:35:55.140 A
01:35:55.240 Sudden
01:35:55.440 Your
01:35:55.720 Mood
01:35:55.980 Goes
01:35:56.300 Up
01:35:56.540 You
01:35:57.480 Go
01:35:57.680 Serve
01:35:58.140 People
01:35:58.600 It
01:36:00.000 Does
01:36:00.260 The
01:36:00.440 Same
01:36:00.680 Thing
01:36:01.040 It
01:36:02.080 Rewards
01:36:02.900 You
01:36:03.160 For
01:36:03.440 Doing
01:36:03.780 The
01:36:04.100 Good
01:36:04.600 Things
01:36:05.260 It's
01:36:07.780 An
01:36:07.900 Amazing
01:36:08.300 System
01:36:09.100 I
01:36:10.060 Don't
01:36:10.200 Know
01:36:10.360 How
01:36:10.520 Anybody
01:36:10.800 Can
01:36:11.060 Say
01:36:11.280 That
01:36:11.480 There
01:36:11.620 Is
01:36:11.760 No
01:36:11.920 God
01:36:12.240 But
01:36:17.180 We're
01:36:17.360 Not
01:36:17.660 Here
01:36:18.700 To
01:36:18.940 Have
01:36:19.240 Passive
01:36:19.820 Acceptance
01:36:20.700 Yeah
01:36:22.500 Well
01:36:22.840 I'm
01:36:23.140 Never
01:36:23.300 Going
01:36:23.480 To
01:36:23.540 Make
01:36:23.780 It
01:36:24.000 And
01:36:24.200 Well
01:36:25.040 That's
01:36:25.300 God's
01:36:25.620 Will
01:36:25.880 No
01:36:27.840 No
01:36:30.020 I mean
01:36:30.300 We have
01:36:30.640 To
01:36:30.800 Accept
01:36:31.180 The
01:36:31.380 Things
01:36:31.680 That
01:36:31.840 We
01:36:32.020 Can't
01:36:32.360 Change
01:36:32.600 But
01:36:32.740 We
01:36:32.880 Also
01:36:33.120 Have
01:36:33.320 To
01:36:33.440 Look
01:36:33.580 At
01:36:33.680 The
01:36:33.800 Things
01:36:33.980 We
01:36:34.140 Can
01:36:34.380 Change
01:36:34.700 This
01:36:35.200 Is
01:36:35.360 One
01:36:35.540 Of
01:36:35.640 The
01:36:35.780 Reasons
01:36:36.080 I
01:36:36.340 Have
01:36:36.500 A
01:36:36.600 Hard
01:36:36.780 Time
01:36:37.100 Sometimes
01:36:37.560 With
01:36:37.800 This
01:36:38.000 Job
01:36:38.340 Because
01:36:39.260 I'm
01:36:39.480 Telling
01:36:39.760 You
01:36:39.880 A lot
01:36:40.180 Of
01:36:40.280 The
01:36:40.420 Things
01:36:40.680 That
01:36:40.860 You
01:36:41.000 Can't
01:36:41.340 Change
01:36:41.780 I
01:36:43.560 Mean
01:36:43.660 You
01:36:43.780 Might
01:36:43.920 Be
01:36:44.020 Able
01:36:44.160 To
01:36:44.300 Change
01:36:44.540 Them
01:36:44.740 With
01:36:45.220 The
01:36:45.340 Election
01:36:45.740 But
01:36:47.400 That's
01:36:47.700 Not
01:36:47.920 Where
01:36:48.160 You're
01:36:48.420 Going
01:36:48.660 To
01:36:48.860 Find
01:36:49.100 Your
01:36:49.300 Answers
01:36:49.800 You're
01:36:50.640 Not
01:36:50.680 Going
01:36:50.780 To
01:36:50.840 Find
01:36:51.100 Them
01:36:51.200 In
01:36:51.320 The
01:36:51.420 Next
01:36:51.740 Politician
01:36:52.760 And
01:36:57.600 So
01:36:57.840 I
01:36:59.500 Feel
01:36:59.820 Defeated
01:37:00.320 Sometimes
01:37:00.980 Because
01:37:01.360 I
01:37:01.560 Feel
01:37:01.740 Like
01:37:01.920 I'm
01:37:02.080 Not
01:37:02.280 Giving
01:37:02.600 You
01:37:02.880 Any
01:37:03.120 Answers
01:37:03.560 That
01:37:03.880 Are
01:37:04.300 Worth
01:37:05.000 Anything
01:37:05.400 At
01:37:05.580 All
01:37:05.820 But
01:37:10.980 Then
01:37:11.120 Again
01:37:11.500 We
01:37:14.580 All
01:37:14.800 Affect
01:37:15.200 Each
01:37:15.460 Other's
01:37:15.820 Lives
01:37:16.260 We
01:37:17.660 All
01:37:18.020 We're
01:37:22.120 All
01:37:22.300 Here
01:37:22.620 For
01:37:23.200 A
01:37:23.540 Reason
01:37:23.880 And
01:37:25.440 It's
01:37:28.080 Spiritually
01:37:28.580 Healthy
01:37:29.060 To
01:37:29.600 Remember
01:37:29.880 That
01:37:30.080 We
01:37:30.200 Don't
01:37:30.400 Have
01:37:30.580 The
01:37:30.740 Final
01:37:30.980 Say
01:37:31.240 Or
01:37:31.400 We
01:37:31.540 Don't
01:37:31.800 Control
01:37:32.200 The
01:37:32.400 Final
01:37:32.620 Outcomes
01:37:33.160 Sometimes
01:37:34.060 Our
01:37:34.380 Best
01:37:34.620 Efforts
01:37:35.000 Fail
01:37:35.400 Sometimes
01:37:36.100 Our
01:37:36.400 Best
01:37:36.640 Intentions
01:37:37.200 Are
01:37:37.320 For
01:37:37.480 Nothing
01:37:37.780 Sometimes
01:37:38.140 Our
01:37:38.440 Prayers
01:37:38.860 Are
01:37:39.100 Answered
01:37:39.500 In
01:37:39.600 The
01:37:39.740 Negative
01:37:40.160 But
01:37:49.720 It's
01:37:49.880 Also
01:37:50.100 Important
01:37:50.580 To
01:37:51.280 Spin
01:37:51.800 Things
01:37:52.120 Around
01:37:52.460 And
01:37:52.840 Maybe
01:37:53.280 Think
01:37:53.660 That
01:37:54.000 Things
01:37:54.520 Aren't
01:37:54.780 Being
01:37:55.000 Done
01:37:55.280 To
01:37:55.620 You
01:37:55.960 But
01:37:57.580 Perhaps
01:37:58.040 If
01:38:00.260 We
01:38:00.460 Just
01:38:00.900 Look
01:38:01.140 At
01:38:01.320 Life
01:38:02.260 And
01:38:02.500 Saying
01:38:02.740 This
01:38:03.040 Is
01:38:03.220 Happening
01:38:03.680 For
01:38:04.300 Me
01:38:04.640 It
01:38:07.380 Will
01:38:07.520 Require
01:38:07.960 Sacrifice
01:38:09.160 And
01:38:09.480 Suffering
01:38:10.340 And
01:38:10.660 Faith
01:38:11.800 And
01:38:12.060 Everything
01:38:12.300 Else
01:38:12.680 But
01:38:16.420 Maybe
01:38:16.820 If
01:38:18.460 We
01:38:18.640 Choose
01:38:19.340 To
01:38:20.860 See
01:38:21.120 It
01:38:21.260 In
01:38:21.380 A
01:38:21.520 Different
01:38:21.780 Light
01:38:22.300 We'll
01:38:25.640 Be
01:38:25.780 Better
01:38:26.100 If
01:38:29.380 We're
01:38:29.600 Hungry
01:38:29.940 Maybe
01:38:30.180 We
01:38:30.400 Feed
01:38:30.640 The
01:38:30.800 Poor
01:38:31.120 We
01:38:34.640 Care
01:38:34.860 For
01:38:35.020 The
01:38:35.160 Orphan
01:38:35.620 We
01:38:36.720 Protect
01:38:37.120 The
01:38:37.340 Widow
01:38:37.580 We
01:38:37.740 Love
01:38:38.120 The
01:38:38.360 Stranger
01:38:38.920 If
01:38:39.500 We're
01:38:40.060 In
01:38:40.940 Such
01:38:41.220 A
01:38:41.380 Bad
01:38:41.640 Dark
01:38:41.980 Place
01:38:42.500 Wouldn't
01:38:43.060 It
01:38:43.180 Make
01:38:43.340 It
01:38:43.460 Easier
01:38:43.920 For
01:38:44.160 Us
01:38:44.400 To
01:38:44.580 See
01:38:44.960 Others
01:38:46.600 In
01:38:47.060 That
01:38:47.260 Place
01:38:47.700 And
01:38:48.440 Relate
01:38:48.820 To
01:38:48.980 Them
01:38:49.220 Unlike
01:38:49.700 Anyone
01:38:50.080 Else
01:38:50.400 Can
01:38:50.600 Relate
01:38:51.020 Over
01:38:59.120 The
01:38:59.280 Holiday
01:38:59.600 I
01:39:02.560 Thought
01:39:02.820 Of
01:39:03.020 Faith
01:39:03.720 Being
01:39:05.080 An
01:39:05.260 Active
01:39:05.780 Thing
01:39:07.100 To
01:39:09.260 Do
01:39:09.440 The
01:39:09.620 Job
01:39:09.940 That
01:39:10.240 We
01:39:11.120 Feel
01:39:11.420 God
01:39:11.700 Has
01:39:11.880 Given
01:39:12.080 Us
01:39:12.340 And
01:39:12.600 If
01:39:12.920 It's
01:39:13.200 Good
01:39:13.820 And
01:39:14.400 It
01:39:14.540 Lift
01:39:14.900 People
01:39:15.240 If
01:39:15.420 It
01:39:15.540 Builds
01:39:16.040 And
01:39:16.180 Not
01:39:16.380 Destroys
01:39:17.180 It
01:39:18.220 Makes
01:39:18.540 Things
01:39:18.840 Better
01:39:19.160 It's
01:39:19.420 Probably
01:39:19.880 God's
01:39:20.380 Will
01:39:20.620 Especially
01:39:21.220 If
01:39:21.520 You
01:39:21.640 Don't
01:39:21.900 Want
01:39:22.060 To
01:39:22.180 Do
01:39:22.360 It
01:39:22.500 It's
01:39:22.760 Definitely
01:39:23.240 But
01:39:25.360 It
01:39:25.480 Doesn't
01:39:25.740 Have
01:39:25.960 To
01:39:26.100 Be
01:39:26.380 Active
01:39:26.980 Outside
01:39:27.500 It
01:39:28.140 Needs
01:39:28.420 To
01:39:28.540 Be
01:39:28.680 Active
01:39:29.000 In
01:39:29.420 Us
01:39:29.940 We
01:39:37.220 Survive
01:39:37.980 We
01:39:40.060 Make
01:39:40.400 It
01:39:40.640 And
01:39:42.400 It
01:39:42.520 Makes
01:39:42.960 Future
01:39:44.200 Generations
01:39:45.000 Smarter
01:39:46.420 And
01:39:48.320 Stronger
01:39:48.860 Should
01:39:49.260 Should
01:39:49.280 We
01:39:49.420 Choose
01:39:49.880 My
01:39:51.860 Addiction
01:39:52.260 My
01:39:52.480 Abuse
01:39:53.060 To
01:39:53.440 Alcohol
01:39:53.860 And
01:39:54.240 Everything
01:39:54.560 Else
01:39:54.960 All
01:39:55.460 The
01:39:55.580 Bad
01:39:55.820 Things
01:39:56.160 It
01:39:57.720 Turns
01:39:58.260 Out
01:39:58.460 I
01:39:58.660 Can
01:39:59.060 Break
01:39:59.480 The
01:39:59.960 Pattern
01:40:00.700 Of
01:40:00.940 Generational
01:40:01.740 Addiction
01:40:02.920 Abuse
01:40:03.640 I
01:40:04.280 Can
01:40:04.460 Break
01:40:04.780 That
01:40:05.000 Pattern
01:40:05.780 But
01:40:07.880 More
01:40:08.060 Importantly
01:40:08.580 Perhaps
01:40:09.480 In
01:40:11.640 Some
01:40:11.880 Ways
01:40:12.160 That
01:40:12.400 Happened
01:40:12.820 For
01:40:13.280 Me
01:40:13.620 At
01:40:14.600 Least
01:40:14.700 That's
01:40:14.920 The
01:40:15.020 Way
01:40:15.140 I
01:40:15.320 Interpret
01:40:15.900 It
01:40:16.200 So
01:40:17.240 I
01:40:17.600 Can
01:40:17.840 Relate
01:40:18.600 I
01:40:20.520 Can
01:40:20.700 Help
01:40:21.080 Whatever
01:40:24.260 Is
01:40:24.560 Happening
01:40:24.940 In
01:40:25.100 Your
01:40:25.240 Life
01:40:25.500 Is
01:40:25.680 Happening
01:40:26.000 For
01:40:26.340 You
01:40:26.540 At
01:40:26.700 Least
01:40:26.900 In
01:40:27.100 Part
01:40:27.400 In
01:40:29.140 A
01:40:29.240 World
01:40:29.400 Where
01:40:29.580 Babies
01:40:29.940 Get
01:40:30.140 Sick
01:40:30.400 And
01:40:30.560 Die
01:40:30.920 A
01:40:31.100 Drunk
01:40:31.300 Driver
01:40:31.700 Will
01:40:31.940 Leave
01:40:32.140 You
01:40:32.280 In
01:40:32.400 A
01:40:32.520 Lifelong
01:40:33.000 Coma
01:40:33.580 Hamas
01:40:34.600 Can
01:40:34.800 Do
01:40:34.960 What
01:40:35.080 It
01:40:35.200 Did
01:40:35.360 On
01:40:35.500 October
01:40:35.840 7th
01:40:37.200 God's
01:40:37.800 Not
01:40:37.940 To
01:40:38.060 Blame
01:40:38.280 For
01:40:38.560 Anything
01:40:39.380 And
01:40:39.600 Everything
01:40:39.920 There
01:40:41.260 Is
01:40:41.440 Human
01:40:41.940 Evil
01:40:42.500 God
01:40:43.740 Built
01:40:43.940 To
01:40:44.060 World
01:40:44.280 Where
01:40:44.620 We
01:40:44.920 All
01:40:45.100 Have
01:40:45.280 Free
01:40:45.520 Choice
01:40:45.960 For
01:40:46.380 Good
01:40:46.800 Or
01:40:47.300 For
01:40:47.580 Evil
01:40:48.060 And
01:40:50.040 All
01:40:50.320 Of
01:40:50.440 Our
01:40:50.560 Actions
01:40:50.900 Have
01:40:51.100 Consequences
01:40:51.800 And
01:40:52.080 We
01:40:52.220 Focus
01:40:52.720 On
01:40:53.060 The
01:40:53.240 Evil
01:40:53.620 But
01:40:56.580 He
01:40:56.700 Made
01:40:56.900 Us
01:40:57.040 Able
01:40:57.220 To
01:40:57.400 Choose
01:40:57.860 What
01:40:58.740 To
01:40:58.960 Make
01:40:59.320 Of
01:41:00.080 All
01:41:00.380 Of
01:41:00.560 This
01:41:00.860 Maybe
01:41:05.480 All
01:41:05.900 Of
01:41:06.040 The
01:41:06.180 Things
01:41:06.680 That
01:41:06.920 Are
01:41:07.020 Happening
01:41:07.400 I
01:41:07.580 Mean
01:41:07.720 I
01:41:07.840 Don't
01:41:07.940 Know
01:41:08.060 If
01:41:08.180 Anybody
01:41:08.440 Else
01:41:08.680 Has
01:41:08.840 Felt
01:41:09.040 This
01:41:09.260 Way
01:41:09.460 But
01:41:10.300 It's
01:41:10.460 All
01:41:10.620 Broken
01:41:11.080 The
01:41:12.080 Principles
01:41:12.600 Aren't
01:41:12.820 Broken
01:41:13.160 What
01:41:14.520 We've
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01:46:48.280 With
01:46:48.420 An
01:46:48.560 App
01:46:48.800 On
01:46:49.020 Your
01:46:49.160 Smartphone
01:46:49.720 Or
01:46:49.880 Tablet
01:46:50.360 Via
01:46:50.580 Bluetooth
01:46:50.980 Then
01:46:51.780 Whether
01:46:52.000 You're
01:46:52.260 Firing
01:46:52.620 Actual
01:46:53.200 Rounds
01:46:53.640 Or
01:46:53.800 Even
01:46:54.020 Dry
01:46:54.360 Firing
01:46:54.700 Practice
01:46:55.200 It
01:46:55.820 Will
01:46:55.960 Give
01:46:56.180 You
01:46:56.320 Instant
01:46:56.840 Feedback
01:46:57.540 On
01:46:57.720 What
01:47:06.000 Mantis
01:47:07.100 X
01:47:07.300 Start
01:47:07.560 Improving
01:47:08.060 Today
01:47:08.380 And
01:47:08.580 Saving
01:47:08.880 Money
01:47:09.240 Mantis
01:47:10.220 X
01:47:10.800 Dot
01:47:11.420 Com
01:47:11.880 Head
01:47:15.080 Over
01:47:15.200 To
01:47:15.320 Blaze
01:47:15.540 TV
01:47:15.740 Dot
01:47:15.960 Com
01:47:16.180 Slash
01:47:16.520 Glenn
01:47:16.760 Another
01:47:17.020 Great
01:47:17.360 Christmas
01:47:17.720 Present
01:47:18.200 Give
01:47:18.740 Someone
01:47:18.920 The
01:47:19.120 Subscribe
01:47:19.660 To
01:47:20.020 Blaze
01:47:20.380 TV
01:47:20.700 Use
01:47:21.040 The
01:47:21.140 Promo
01:47:21.300 Code
01:47:21.540 Glenn
01:47:21.840 Sarah
01:47:32.520 Don't
01:47:32.880 Let
01:47:33.080 Me
01:47:33.180 Forget
01:47:33.420 We
01:47:33.580 Have
01:47:33.700 To
01:47:33.820 Talk
01:47:34.000 About
01:47:34.160 The
01:47:34.320 Damn
01:47:34.620 Thing
01:47:34.960 Can
01:47:36.380 We
01:47:36.500 Use
01:47:37.540 Darn
01:47:37.780 Please
01:47:38.100 Can
01:47:39.000 We
01:47:39.100 Use
01:47:39.440 No
01:47:39.840 It's
01:47:40.080 A
01:47:40.200 Family
01:47:40.520 Show
01:47:40.900 I
01:47:41.120 Know
01:47:41.280 It
01:47:41.400 Is
01:47:41.580 But
01:47:41.760 It's
01:47:41.960 A
01:47:42.060 Damn
01:47:42.300 Thing
01:47:42.560 Darn
01:47:42.900 No
01:47:43.760 Anyway
01:47:45.160 Remind
01:47:45.700 Me
01:47:45.920 So
01:47:46.200 We
01:47:46.340 Don't
01:47:46.480 Forget
01:47:46.780 Because
01:47:47.280 We
01:47:47.540 Were
01:47:47.660 Just
01:47:47.880 Talking
01:47:48.180 About
01:47:48.440 The
01:47:48.620 Cowboys
01:47:49.160 And
01:47:49.780 And
01:47:49.820 Then
01:47:50.580 We
01:47:50.700 Got
01:47:50.900 Into
01:47:51.080 A
01:47:51.240 Break
01:47:51.600 And
01:47:51.920 Started
01:47:52.880 Talking
01:47:53.200 About
01:47:53.600 Dolly
01:47:54.600 Parton
01:47:54.980 And
01:47:55.500 Her
01:47:55.660 Performance
01:47:56.080 It
01:47:56.780 Was
01:47:56.980 An
01:47:57.420 Interesting
01:47:57.860 Performance
01:47:58.360 I
01:47:58.620 Don't
01:47:58.780 Know
01:47:58.920 It
01:47:59.200 Was
01:47:59.340 Good
01:47:59.700 I
01:48:00.100 I
01:48:00.620 Love
01:48:01.480 Dolly
01:48:01.940 Parton
01:48:02.200 Right
01:48:02.480 I
01:48:03.080 Think
01:48:03.220 That's
01:48:03.900 Legally
01:48:04.240 Required
01:48:04.800 In
01:48:04.940 The
01:48:05.020 United
01:48:05.200 States
01:48:05.540 You
01:48:05.780 Must
01:48:06.120 Love
01:48:06.480 Dolly
01:48:06.800 Parton
01:48:07.100 And
01:48:07.240 I
01:48:07.380 Do
01:48:07.640 I
01:48:07.840 Think
01:48:08.000 She's
01:48:08.240 Great
01:48:08.500 I
01:48:08.880 Love
01:48:09.080 Her
01:48:09.200 She's
01:48:09.480 Hit
01:48:09.640 That
01:48:09.880 Weird
01:48:10.280 Betty
01:48:10.620 White
01:48:10.920 Category
01:48:11.580 Now
01:48:12.040 Where
01:48:12.680 She
01:48:12.920 Just
01:48:13.340 No
01:48:14.060 Matter
01:48:14.320 What
01:48:14.680 She
01:48:14.900 Does
01:48:15.160 Everyone
01:48:15.580 Is
01:48:16.180 Required
01:48:16.600 To
01:48:16.800 Like
01:48:16.920 It's
01:48:16.980 Really
01:48:17.240 Weird
01:48:17.700 We
01:48:18.060 These
01:48:18.540 People
01:48:19.100 Come
01:48:19.400 And
01:48:19.540 Go
01:48:19.720 Like
01:48:19.960 This
01:48:20.160 And
01:48:20.340 They
01:48:20.500 Usually
01:48:20.940 Are
01:48:21.300 Have
01:48:21.500 Been
01:48:21.660 Likeable
01:48:22.200 For
01:48:22.480 Years
01:48:23.040 Yes
01:48:23.460 Like
01:48:23.820 George
01:48:24.300 Burns
01:48:24.780 Betty
01:48:25.240 White
01:48:25.640 Now
01:48:26.220 Dolly
01:48:26.560 Parton
01:48:26.920 They
01:48:27.400 Hit
01:48:27.680 A
01:48:27.860 Certain
01:48:28.120 Age
01:48:28.680 And
01:48:29.540 Where
01:48:30.080 Most
01:48:30.380 People
01:48:30.660 Would
01:48:30.900 Fade
01:48:31.480 They
01:48:31.700 Have
01:48:31.920 This
01:48:32.160 Renaissance
01:48:32.760 And
01:48:33.800 All of
01:48:34.400 A sudden
01:48:34.560 They're
01:48:34.960 Like
01:48:35.240 America's
01:48:36.320 Hero
01:48:37.300 You
01:48:37.740 Know
01:48:37.860 What
01:48:37.940 I
01:48:38.000 Mean
01:48:38.180 George
01:48:38.560 Burns
01:48:38.960 Was
01:48:39.180 America's
01:48:40.260 Comedian
01:48:40.900 Betty
01:48:41.400 White
01:48:41.680 Was
01:48:41.900 America's
01:48:42.940 You
01:48:43.220 Sweetheart
01:48:43.980 Actress
01:48:44.540 Yeah
01:48:44.940 Dolly
01:48:45.400 Parton
01:48:45.820 Is
01:48:45.980 America's
01:48:46.600 Entertainer
01:48:47.300 It's
01:48:47.840 She
01:48:48.060 Is
01:48:48.300 It's
01:48:48.460 This
01:48:48.600 Weird
01:48:49.040 Thing
01:48:49.520 And
01:48:49.740 She's
01:48:51.500 So
01:48:51.820 Much
01:48:52.120 For
01:48:52.380 So
01:48:52.560 Many
01:48:52.740 People
01:48:53.100 Like
01:48:53.360 She
01:48:53.520 Had
01:48:53.760 You
01:48:53.980 That's
01:48:54.240 Probably
01:48:54.680 Why
01:48:55.260 They
01:48:55.780 Get
01:48:55.940 It
01:48:56.060 George
01:48:56.300 Burns
01:48:56.600 Was
01:48:56.780 Like
01:48:56.980 That
01:48:57.260 Was
01:48:58.060 Betty
01:48:58.260 White
01:48:58.420 Like
01:48:58.560 That
01:48:58.680 She
01:48:58.880 Was
01:48:59.100 Just
01:48:59.200 Really
01:48:59.480 Super
01:48:59.760 Sweet
01:49:00.120 But
01:49:00.380 I
01:49:00.480 Didn't
01:49:00.740 You
01:49:00.920 Know
01:49:01.020 No
01:49:01.220 She
01:49:01.420 Was
01:49:01.680 No
01:49:01.920 She
01:49:02.120 Was
01:49:02.260 Big
01:49:02.540 Charitable
01:49:03.020 But
01:49:03.260 She
01:49:03.360 Was
01:49:03.480 Sweet
01:49:04.100 Right
01:49:04.640 You
01:49:04.920 Know
01:49:05.040 And
01:49:05.160 It
01:49:05.260 Seems
01:49:05.480 Real
01:49:05.820 Yeah
01:49:06.300 Like
01:49:06.600 It
01:49:06.800 Seems
01:49:07.120 Like
01:49:07.300 The
01:49:07.400 And
01:49:07.940 But
01:49:08.280 Dolly
01:49:08.660 Parton
01:49:08.920 Is
01:49:09.040 That
01:49:09.200 She's
01:49:09.720 The
01:49:09.860 New
01:49:10.040 One
01:49:10.260 In
01:49:10.360 That
01:49:10.500 Category
01:49:10.940 It
01:49:11.120 Feels
01:49:11.320 Like
01:49:11.600 And
01:49:12.040 Just
01:49:12.360 To
01:49:12.600 Make
01:49:12.980 Sure
01:49:13.360 That
01:49:13.580 You
01:49:13.760 Live
01:49:14.340 In
01:49:14.760 2020
01:49:15.440 She's
01:49:17.360 77
01:49:17.800 In
01:49:18.360 A
01:49:18.620 Cheerleader
01:49:19.160 Outfit
01:49:19.660 Which
01:49:21.120 You
01:49:21.460 Know
01:49:21.560 In
01:49:21.720 2023
01:49:22.260 I
01:49:22.760 Guess
01:49:23.020 That's
01:49:23.360 Like
01:49:23.580 Okay
01:49:23.960 Yeah
01:49:24.460 Sure
01:49:24.980 I
01:49:26.080 Didn't
01:49:26.220 Notice
01:49:26.460 That
01:49:26.680 What
01:49:27.340 I
01:49:27.660 Will
01:49:28.160 Say
01:49:28.400 That
01:49:28.760 Part
01:49:29.100 Of
01:49:29.200 It
01:49:29.320 Fell
01:49:29.680 A
01:49:29.940 Bit
01:49:30.100 Into
01:49:30.260 The
01:49:30.440 Uncanny
01:49:30.860 Valley
01:49:31.140 For
01:49:31.360 Me
01:49:31.500 It
01:49:32.080 Was
01:49:32.280 Like
01:49:32.420 She
01:49:33.100 Was
01:49:33.380 Like
01:49:33.620 In
01:49:33.780 She's
01:49:34.100 In
01:49:34.260 Really
01:49:34.660 Good
01:49:34.940 Shape
01:49:35.220 But
01:49:35.440 She's
01:49:35.920 77
01:49:36.860 Yeah
01:49:37.560 She
01:49:37.800 Did
01:49:38.040 Not
01:49:38.460 Look
01:49:38.620 She
01:49:38.860 Doesn't
01:49:39.040 Look
01:49:39.180 26
01:49:39.560 But
01:49:40.160 She
01:49:40.340 Does
01:49:40.680 Not
01:49:41.040 Look
01:49:41.380 77
01:49:42.060 No
01:49:43.360 But
01:49:44.220 I
01:49:44.320 Think
01:49:44.420 That's
01:49:44.600 Why
01:49:44.820 It
01:49:44.920 Was
01:49:45.020 In
01:49:45.100 The
01:49:45.180 Uncanny
01:49:45.520 Valley
01:49:45.820 She's
01:49:46.560 In
01:49:46.660 A
01:49:46.780 Dallas
01:49:47.080 Cowboy
01:49:47.500 Cheerleaders
01:49:48.240 Outfit
01:49:49.040 Which
01:49:49.340 You
01:49:49.980 Associate
01:49:50.560 With
01:49:50.920 Dallas
01:49:51.240 Cowboy
01:49:51.600 Cheerleaders
01:49:52.240 Which
01:49:53.160 Look
01:49:53.400 A
01:49:53.540 Certain
01:49:53.720 Way
01:49:54.040 And
01:49:54.220 Then
01:49:54.360 You're
01:49:54.580 Looking
01:49:54.860 At
01:49:55.080 Dolly
01:49:56.180 Parton
01:49:56.520 Who
01:49:56.760 I
01:49:57.660 Think
01:49:57.860 It
01:49:58.000 Was
01:49:58.160 Funny
01:49:58.760 I
01:49:59.060 Thought
01:49:59.260 It
01:49:59.360 Was
01:49:59.780 Bizarre
01:50:00.560 It
01:50:00.740 Was
01:50:00.880 A
01:50:01.440 Bizarre
01:50:02.260 Bizarre
01:50:02.780 Moment
01:50:03.020 But
01:50:03.240 She's
01:50:03.540 Great
01:50:04.120 Performer
01:50:04.680 And
01:50:04.960 A
01:50:05.200 Great
01:50:05.400 Seemingly
01:50:06.060 A
01:50:06.260 Great
01:50:06.520 Person
01:50:06.920 Like
01:50:07.200 A
01:50:07.400 Legitimately
01:50:08.160 Great
01:50:08.680 Person
01:50:09.080 Everyone
01:50:09.480 Loves
01:50:09.860 Her
01:50:10.040 She
01:50:10.260 Seemingly
01:50:10.680 Does
01:50:10.920 All
01:50:11.060 These
01:50:11.200 Things
01:50:11.540 It
01:50:11.740 Just
01:50:11.940 It
01:50:12.880 Was
01:50:13.020 A
01:50:13.200 I
01:50:13.380 Don't
01:50:13.500 Know
01:50:13.600 It
01:50:13.680 Was
01:50:13.780 A
01:50:13.880 Little
01:50:14.060 Weird
01:50:14.940 What's
01:50:15.060 Strange
01:50:15.460 Is
01:50:15.900 20
01:50:16.900 Years
01:50:17.280 Ago
01:50:17.640 A
01:50:18.740 77
01:50:19.180 Year
01:50:19.580 Old
01:50:19.780 Woman
01:50:20.020 Getting
01:50:20.300 Into
01:50:20.540 A
01:50:20.660 Dallas
01:50:20.920 Cowboys
01:50:21.340 Cheerleading
01:50:22.000 Thing
01:50:22.500 Would
01:50:23.220 Have
01:50:23.360 Stopped
01:50:24.200 America
01:50:24.680 We
01:50:24.960 All
01:50:25.120 Would
01:50:25.280 Have
01:50:25.360 Went
01:50:25.520 That
01:50:26.060 Was
01:50:26.320 Weird
01:50:26.720 Okay
01:50:27.500 Yeah
01:50:27.880 Now
01:50:28.820 That
01:50:29.840 Is
01:50:30.140 The
01:50:30.480 Most
01:50:31.080 Family
01:50:31.800 Friendly
01:50:32.700 Normal
01:50:33.800 Halftime
01:50:34.880 I've
01:50:35.660 Seen
01:50:36.040 In
01:50:36.200 20
01:50:36.500 Years
01:50:36.760 I
01:50:36.860 Didn't
01:50:37.020 My
01:50:37.160 Kids
01:50:37.580 Watching
01:50:38.020 It
01:50:38.160 No
01:50:38.340 And
01:50:39.340 It
01:50:40.100 Was
01:50:40.300 Something
01:50:40.980 That
01:50:41.240 We
01:50:41.680 Would
01:50:41.860 Have
01:50:41.980 Never
01:50:42.440 Understood
01:50:43.000 20
01:50:44.080 Years
01:50:44.440 Ago
01:50:44.680 Can
01:50:44.940 You
01:50:45.080 Imagine
01:50:45.460 The
01:50:45.820 Super
01:50:46.120 Bowl
01:50:46.360 20
01:50:46.780 Years
01:50:47.220 A
01:50:47.540 77
01:50:48.800 Year
01:50:49.540 Old
01:50:49.900 Whomever
01:50:51.080 Madonna
01:50:52.320 And
01:50:53.560 She
01:50:53.760 May
01:50:54.000 Attempt
01:50:54.500 It
01:50:54.680 Don't
01:50:55.200 Tempt
01:50:55.380 Oh
01:50:55.800 She
01:50:56.200 May
01:50:56.340 And
01:50:56.500 We
01:50:56.620 All
01:50:56.940 Go
01:50:57.260 Yeah
01:50:58.440 Dolly
01:50:59.740 Parton
01:51:00.120 Does
01:51:00.400 It
01:51:00.600 And
01:51:01.260 Everybody's
01:51:01.580 Like
01:51:01.740 Okay
01:51:01.980 That
01:51:02.140 Was
01:51:02.300 A
01:51:02.420 Little
01:51:02.520 Weird
01:51:02.820 But
01:51:03.580 Not
01:51:04.400 Ick
01:51:05.080 You
01:51:05.300 Know
01:51:05.440 What
01:51:05.560 I mean
01:51:05.860 Just
01:51:06.440 Like
01:51:06.640 That's
01:51:07.220 A
01:51:07.420 Little
01:51:07.560 Strange
01:51:08.000 And
01:51:09.360 In
01:51:09.620 Today's
01:51:10.080 World
01:51:10.400 That's
01:51:10.900 Nothing
01:51:11.220 This
01:51:11.920 Is
01:51:12.560 This
01:51:12.820 Relates
01:51:13.160 To
01:51:13.260 The
01:51:13.380 Conversation
01:51:13.800 We
01:51:13.960 Have
01:51:14.100 All
01:51:14.220 The
01:51:14.340 Time
01:51:14.520 When
01:51:14.640 It
01:51:14.740 Comes
01:51:14.920 To
01:51:15.100 Agent
01:51:15.580 Joe
01:51:15.800 Biden
01:51:19.540 Elderly
01:51:20.240 People
01:51:20.560 Like
01:51:21.820 When
01:51:22.180 We're
01:51:22.540 Impressed
01:51:23.300 By
01:51:23.560 Someone
01:51:24.020 Who
01:51:24.420 Is
01:51:24.580 Able
01:51:24.940 To
01:51:25.220 Be
01:51:25.480 In
01:51:25.620 Their
01:51:25.740 70s
01:51:26.200 And
01:51:26.300 80s
01:51:26.660 And
01:51:26.800 Do
01:51:26.980 Things
01:51:27.440 That
01:51:28.020 Not
01:51:28.420 Every
01:51:29.380 Typical
01:51:29.860 70
01:51:30.180 And
01:51:30.320 80
01:51:30.460 Tony
01:51:31.180 Bennett
01:51:31.420 Is
01:51:32.140 Another
01:51:32.320 Example
01:51:32.760 We're
01:51:33.380 Like
01:51:33.620 Blowed
01:51:34.020 Away
01:51:34.240 By
01:51:34.480 It
01:51:34.620 We
01:51:34.760 Love
01:51:35.080 It
01:51:35.260 It's
01:51:35.900 Like
01:51:36.060 When
01:51:36.240 You
01:51:36.360 It's
01:51:36.620 Like
01:51:36.760 When
01:51:36.880 You
01:51:36.980 See
01:51:37.220 A
01:51:37.500 Child
01:51:37.840 Who
01:51:38.140 Can
01:51:38.300 Play
01:51:38.420 The
01:51:38.540 Piano
01:51:38.820 In
01:51:39.020 Some
01:51:39.200 Amazing
01:51:39.600 Way
01:51:39.880 You're
01:51:40.100 Like
01:51:40.260 Wow
01:51:40.700 Even
01:51:41.320 If
01:51:41.480 A
01:51:49.540 As
01:51:49.780 These
01:51:50.880 Features
01:51:51.760 That
01:51:51.960 Typically
01:51:52.420 Might
01:51:52.700 Degrade
01:51:53.140 A
01:51:53.300 Little
01:51:53.420 Bit
01:51:53.580 With
01:51:53.760 Age
01:51:54.140 It
01:51:54.260 Happens
01:51:54.580 To
01:51:54.720 Everybody
01:51:55.160 When
01:51:55.640 It
01:51:55.760 Doesn't
01:51:56.200 Happen
01:51:56.480 To
01:51:56.620 Someone
01:51:57.000 To
01:51:57.580 That
01:51:57.740 Effect
01:51:57.980 You're
01:51:58.120 Like
01:51:58.240 Wow
01:51:58.700 This
01:51:58.940 Person
01:51:59.220 Is
01:51:59.340 Achieving
01:51:59.740 Something
01:52:00.020 That's
01:52:00.220 Really
01:52:00.480 Impressive
01:52:01.340 With
01:52:02.100 Joe
01:52:02.340 Biden
01:52:02.620 We're
01:52:02.820 All
01:52:02.980 Like
01:52:03.140 Wow
01:52:03.360 It's
01:52:03.560 Going
01:52:03.800 Worse
01:52:04.140 Than
01:52:04.380 Normal
01:52:04.700 Like
01:52:05.260 He's
01:52:05.520 Would
01:52:06.500 Anyone
01:52:07.480 Look
01:52:07.740 At
01:52:07.840 Joe
01:52:07.960 Biden
01:52:08.120 Seriously
01:52:08.780 And
01:52:09.380 Say
01:52:09.580 He's
01:52:09.900 Doing
01:52:10.700 Better
01:52:11.200 Than
01:52:11.440 Average
01:52:11.920 When
01:52:12.100 It
01:52:12.180 Comes
01:52:12.380 To
01:52:12.480 The
01:52:19.540 I
01:52:20.300 Think
01:52:20.540 It's
01:52:20.720 A
01:52:20.820 Good
01:52:21.000 No
01:52:21.340 It
01:52:21.620 Shows
01:52:22.000 That
01:52:22.140 We're
01:52:22.260 Being
01:52:22.460 Balanced
01:52:22.900 On
01:52:23.060 This
01:52:23.180 Like
01:52:23.620 No
01:52:24.120 Because
01:52:24.420 When
01:52:24.640 Alan
01:52:24.840 Dershowitz
01:52:25.340 Comes
01:52:25.540 On
01:52:25.720 The
01:52:25.840 Show
01:52:25.980 I
01:52:26.060 Cannot
01:52:26.460 Get
01:52:26.720 It
01:52:26.840 Out
01:52:27.000 I
01:52:27.200 Cannot
01:52:28.020 Not
01:52:28.640 See
01:52:29.180 Joe
01:52:29.600 Biden
01:52:30.000 Dressed
01:52:30.620 As
01:52:30.860 A
01:52:31.080 Dallas
01:52:31.400 Cowboys
01:52:31.760 Cheerleader
01:52:32.200 Now
01:52:32.460 And
01:52:33.520 It's
01:52:33.880 That's
01:52:34.320 Your
01:52:34.720 Problem
01:52:35.200 Yeah
01:52:35.520 Well
01:52:35.860 You
01:52:36.100 Started
01:52:36.600 I
01:52:36.900 Did
01:52:37.160 Not
01:52:37.580 Start
01:52:38.100 It
01:52:38.260 Sir
01:52:38.520 If
01:52:39.080 Joe
01:52:39.520 Biden
01:52:39.880 Were
01:52:40.080 Out
01:52:40.280 There
01:52:40.540 And
01:52:40.720 That's
01:52:40.980 What
01:52:41.080 I
01:52:41.220 Saw
01:52:41.480 I
01:52:49.540 Biden
01:52:49.680 Into
01:52:50.040 A
01:52:50.260 Dallas
01:52:50.520 Cowboys
01:52:50.880 Don't
01:52:52.040 Do
01:52:52.180 That
01:52:52.420 Don't
01:52:53.000 This
01:52:53.260 Is
01:52:53.320 The
01:52:53.480 President
01:52:53.940 Of
01:52:54.240 The
01:52:54.340 United
01:52:54.620 States
01:52:55.160 Have
01:52:55.360 Some
01:52:55.620 Respect
01:52:57.780 For
01:52:58.200 The
01:52:58.380 Office
01:52:58.860 And
01:52:59.300 Don't
01:52:59.820 Do
01:53:00.120 That
01:53:00.420 You
01:53:01.020 Know
01:53:01.140 What
01:53:01.320 I
01:53:02.600 I
01:53:02.640 Get
01:53:02.780 The
01:53:02.960 Some
01:53:03.380 People
01:53:03.620 In
01:53:03.720 This
01:53:03.840 Audience
01:53:04.060 Would
01:53:04.280 Want
01:53:04.660 To
01:53:04.840 Do
01:53:05.040 It
01:53:05.220 Right
01:53:05.540 Just
01:53:05.880 Because
01:53:06.180 It's
01:53:06.420 Wrong
01:53:06.880 To
01:53:07.080 Do
01:53:07.360 Right
01:53:07.740 And
01:53:07.920 I
01:53:08.120 We
01:53:08.440 Do
01:53:08.580 Not
01:53:08.940 Stand
01:53:09.280 Behind
01:53:09.580 That
01:53:09.800 Effort
01:53:10.240 Your
01:53:10.460 Honor
01:53:10.760 We
01:53:11.220 Were
01:53:11.540 Against
01:53:12.180 It
01:53:12.400 100%
01:53:13.600 100%
01:53:14.400 Right
01:53:14.780 And
01:53:14.980 You
01:53:15.060 Know
01:53:15.180 What
01:53:15.420 If
01:53:15.880 You
01:53:16.020 Do
01:53:16.260 It
01:53:16.380 Make
01:53:16.560 Sure
01:53:16.720 To
01:53:16.860 Tag
01:53:17.160 Us
01:53:17.360 In
01:53:17.480 It
01:53:17.560 So
01:53:17.720 We
01:53:17.920 Know
01:53:18.300 You
01:53:18.540 Did
01:53:18.720 It
01:53:18.820 And
01:53:18.940 We
01:53:19.020 Can
01:53:19.140 Shame
01:53:19.640 You
01:53:19.820 Properly
01:53:20.460 Yes
01:53:20.880 Because
01:53:21.240 That
01:53:21.820 Would
01:53:22.200 Be
01:53:22.540 Wrong
01:53:23.080 If
01:53:23.860 We
01:53:24.100 See
01:53:24.500 One
01:53:25.300 Photoshop
01:53:26.140 Of
01:53:26.540 Joe
01:53:26.940 Biden
01:53:27.360 In
01:53:27.560 The
01:53:27.700 Dallas
01:53:28.080 Cowboy
01:53:28.480 Cheerleaders
01:53:29.000 Outfit
01:53:29.760 We're
01:53:29.940 Going
01:53:30.060 To
01:53:30.160 Be
01:53:30.320 Incredibly
01:53:31.420 Disappointed
01:53:32.100 Imagine
01:53:32.460 How
01:53:32.640 Disappointed
01:53:33.100 We'll
01:53:33.280 Be
01:53:33.400 If
01:53:33.540 We
01:53:33.640 See
01:53:33.820 10
01:53:34.300 Or
01:53:34.760 20
01:53:35.300 I
01:53:38.140 Can't
01:53:38.400 Even
01:53:38.520 Imagine
01:53:38.960 What
01:53:39.200 I
01:53:39.360 It's
01:53:42.800 Very
01:53:42.960 Disturbing
01:53:43.300 I
01:53:43.440 Don't
01:53:43.520 Know
01:53:43.620 How
01:53:43.760 We
01:53:43.900 Got
01:53:44.080 There
01:53:44.360 But
01:53:45.080 I
01:53:45.180 Will
01:53:45.300 Say
01:53:45.480 The
01:53:45.820 Point
01:53:46.200 Of
01:53:46.340 That
01:53:46.540 Was
01:53:47.020 To
01:53:47.740 Say
01:53:48.060 That
01:53:48.320 It's
01:53:48.600 Not
01:53:48.880 We
01:53:49.500 A lot
01:53:50.240 Of
01:53:50.300 People
01:53:50.440 Say
01:53:50.640 He's
01:53:50.880 Too
01:53:51.060 Old
01:53:51.240 It's
01:53:51.460 Not
01:53:51.600 Even
01:53:51.800 True
01:53:52.260 If
01:53:52.900 He
01:53:53.000 Were
01:53:53.120 One
01:53:53.280 Of
01:53:53.340 These
01:53:53.480 People
01:53:53.820 Who
01:53:54.200 Were
01:53:54.320 81
01:53:54.700 Years
01:53:55.100 Old
01:53:55.360 And
01:53:55.620 Was
01:53:55.920 Had
01:53:56.440 The
01:53:56.600 Mental
01:53:56.860 Acuity
01:53:57.300 Of
01:53:57.520 Alan
01:53:57.920 Dershowitz
01:53:58.480 Who
01:53:59.640 We've
01:53:59.860 Had
01:53:59.980 On
01:54:00.080 The
01:54:00.160 Show
01:54:00.280 A
01:54:00.380 Million
01:54:00.500 Times
01:54:00.680 Who
01:54:00.800 Is
01:54:00.920 85
01:54:01.440 We'd
01:54:03.040 All
01:54:03.140 Be
01:54:03.260 Like
01:54:03.440 Yeah
01:54:03.680 Like
01:54:03.940 He's
01:54:04.160 Kicking
01:54:04.620 Butt
01:54:04.880 I
01:54:05.260 Mean
01:54:05.340 I
01:54:05.520 Think
01:54:05.720 This
01:54:05.900 Happens
01:54:06.140 With
01:54:06.280 Donald
01:54:06.520 Trump
01:54:06.740 At
01:54:06.880 Some
01:54:07.040 Level
01:54:07.200 He's
01:54:07.420 77
01:54:07.860 The
01:54:08.640 Number
01:54:09.080 Might
01:54:09.660 Seem
01:54:10.000 Too
01:54:10.220 High
01:54:10.400 To
01:54:10.520 A lot
01:54:10.720 Of
01:54:10.800 People
01:54:10.980 But
01:54:11.160 No
01:54:11.400 One
01:54:11.560 Goes
01:54:12.080 To
01:54:12.220 Donald
01:54:12.420 Trump
01:54:12.580 They
01:54:13.240 Might
01:54:13.400 Think
01:54:13.560 A lot
01:54:13.800 Of
01:54:13.880 Things
01:54:14.040 About
01:54:14.280 Him
01:54:14.380 But
01:54:14.480 They're
01:54:14.560 Not
01:54:14.680 Like
01:54:14.860 He's
01:54:15.180 Too old
01:54:15.500 He
01:54:15.600 Can't
01:54:15.820 Handle
01:54:16.020 He
01:54:16.120 Doesn't
01:54:16.340 Have
01:54:16.480 The
01:54:16.620 The
01:54:18.740 The
01:54:19.300 Stamina
01:54:20.140 The
01:54:20.340 Mental
01:54:21.220 Acuity
01:54:21.740 No
01:54:22.220 One
01:54:22.360 Says
01:54:22.560 That
01:54:22.740 About
01:54:22.980 Him
01:54:23.160 No
01:54:23.400 They
01:54:23.600 Don't
01:54:23.720 Say
01:54:23.880 That
01:54:24.000 About
01:54:24.200 Him
01:54:24.320 Because
01:54:24.840 It's
01:54:25.780 Not
01:54:25.960 The
01:54:26.120 Problem
01:54:26.560 Right
01:54:26.840 He's
01:54:27.240 There
01:54:27.460 He's
01:54:27.760 Showing
01:54:28.140 He
01:54:28.260 Can
01:54:28.380 Do
01:54:28.480 That
01:54:28.620 All
01:54:28.760 The
01:54:28.900 Time
01:54:29.200 And
01:54:29.480 Age
01:54:29.920 Is
01:54:30.280 I
01:54:30.460 Mean
01:54:30.580 I
01:54:30.700 Know
01:54:30.860 People
01:54:31.200 Who
01:54:31.580 Are
01:54:31.740 In
01:54:31.860 Their
01:54:32.000 Sixties
01:54:32.680 Who
01:54:32.860 Are
01:54:33.080 Really
01:54:33.680 Not
01:54:34.080 So
01:54:34.360 Sharp
01:54:34.680 Right
01:54:35.120 And
01:54:35.500 I
01:54:35.680 Know
01:54:35.820 People
01:54:36.080 Who
01:54:36.280 Are
01:54:36.560 You
01:54:36.880 Know
01:54:37.040 In
01:54:37.360 Their
01:54:37.520 Nineties
01:54:38.260 And
01:54:38.720 You
01:54:39.680 Know
01:54:39.860 Would
01:54:40.260 Put
01:54:40.480 Me
01:54:40.660 To
01:54:40.800 Bed
01:54:41.140 Every
01:54:41.380 Night
01:54:41.580 Thomas
01:54:43.260 Sowell
01:54:43.760 Yeah
01:54:44.420 How old
01:54:44.960 Is
01:54:45.080 Thomas
01:54:45.340 Sowell
01:54:45.640 Now
01:54:45.840 He
01:54:46.020 Just
01:54:46.180 Came
01:54:46.320 Out
01:54:46.400 With
01:54:46.520 Another
01:54:46.840 Book
01:54:47.260 About
01:54:48.340 Social
01:54:48.780 Justice
01:54:49.240 Which
01:54:49.700 Looks
01:54:49.920 Awesome
01:54:50.300 I've
01:54:50.440 Not
01:54:50.560 Read
01:54:50.760 It
01:54:50.840 Yet
01:54:51.040 We
01:54:52.120 Would
01:54:52.280 Love
01:54:52.460 To
01:54:52.580 Have
01:54:52.740 Him
01:54:52.860 On
01:54:53.020 I
01:54:53.120 Know
01:54:53.220 We've
01:54:53.400 Tried
01:54:53.660 For
01:54:53.880 Years
01:54:54.280 To
01:54:54.520 Have
01:54:54.680 A
01:54:54.780 On
01:54:54.940 It's
01:54:55.180 Called
01:54:55.320 Social
01:54:55.660 Justice
01:54:56.080 Fallacies
01:54:56.640 He
01:54:58.200 Was
01:54:58.780 Born
01:55:00.160 In
01:55:00.340 1930
01:55:00.960 He's
01:55:01.260 93
01:55:02.120 And
01:55:03.280 He
01:55:03.400 Run
01:55:03.760 Circles
01:55:04.960 Around
01:55:05.240 Almost
01:55:05.540 Everybody
01:55:06.140 On
01:55:06.660 Certainly
01:55:07.240 On
01:55:07.400 MSNBC
01:55:08.120 Certainly
01:55:08.600 On
01:55:08.800 This
01:55:09.000 Program
01:55:09.400 He's
01:55:10.560 The smartest
01:55:11.000 Guys
01:55:11.320 Out
01:55:12.180 There
01:55:12.420 And
01:55:12.940 Still
01:55:13.100 To
01:55:13.240 This
01:55:13.380 Day
01:55:13.600 Can
01:55:13.820 Get
01:55:14.020 These
01:55:14.240 Arguments
01:55:14.600 Down
01:55:14.960 Would
01:55:16.540 You
01:55:16.620 Have
01:55:16.740 Any
01:55:16.960 Problem
01:55:17.300 Voting
01:55:17.580 For
01:55:17.760 Thomas
01:55:18.080 Sowell
01:55:18.360 For
01:55:18.520 President
01:55:18.840 No
01:55:19.180 Now
01:55:19.360 He's
01:55:19.500 93
01:55:20.000 So
01:55:20.920 You
01:55:21.900 Want
01:55:22.020 To
01:55:22.080 Make
01:55:22.180 Sure
01:55:22.360 The
01:55:22.480 VP
01:55:22.700 Is
01:55:22.900 Strong
01:55:23.220 Yeah
01:55:23.620 I
01:55:25.460 Would
01:55:25.760 Require
01:55:26.320 Somebody
01:55:27.080 At
01:55:27.760 Least
01:55:28.220 As
01:55:28.480 Strong
01:55:28.900 As
01:55:29.140 Kamala
01:55:29.560 Harris
01:55:30.020 Wow
01:55:31.020 Is
01:55:31.760 There
01:55:31.920 Another
01:55:32.180 One
01:55:32.460 Though
01:55:32.620 That's
01:55:32.880 The
01:55:32.980 Question
01:55:33.320 I
01:55:33.800 Don't
01:55:34.000 Know
01:55:34.200 I
01:55:34.400 I
01:55:34.900 Would
01:55:35.000 Just
01:55:35.200 Switch
01:55:37.700 Sides
01:55:39.400 Help
01:55:40.640 A
01:55:40.780 Brother
01:55:41.020 Out
01:55:41.340 Will
01:55:41.580 You
01:55:41.760 All
01:55:42.700 Right
01:55:42.800 Let
01:55:42.940 Me
01:55:43.000 Tell
01:55:43.160 You
01:55:43.240 About
01:55:43.520 Patriot
01:55:44.320 Mobile
01:55:44.620 In
01:55:44.960 Fact
01:55:45.260 I
01:55:45.500 Want
01:55:45.600 To
01:55:45.660 Give
01:55:45.780 You
01:55:45.840 A
01:55:45.980 News
01:55:46.240 Story
01:55:46.700 That
01:55:47.480 Relates
01:55:48.040 To
01:55:48.220 This
01:55:48.560 I
01:55:48.700 Talked
01:55:49.000 About
01:55:49.240 It
01:55:49.420 At
01:55:49.640 The
01:55:49.840 First
01:55:50.320 Hour
01:55:50.700 Of
01:55:52.060 The
01:55:52.600 Broadcast
01:55:53.340 It
01:55:53.840 Is
01:55:54.240 AT&T
01:55:55.480 I
01:55:56.000 Don't
01:55:56.240 Think
01:55:56.440 I
01:55:56.560 Have
01:55:56.700 It
01:55:56.780 Now
01:55:56.960 AT&T
01:55:58.240 Is
01:55:59.160 Spying
01:56:00.260 On
01:56:00.740 You
01:56:00.880 With
01:56:01.200 The
01:56:01.400 Federal
01:56:01.720 Government
01:56:02.120 It's
01:56:03.060 An
01:56:03.200 Absolutely
01:56:03.640 Incredible
01:56:04.740 Story
01:56:05.360 Why
01:56:07.040 We
01:56:07.280 Don't
01:56:07.580 Know
01:56:07.920 This
01:56:08.400 But
01:56:09.400 Are
01:56:09.600 Actually
01:56:10.380 With
01:56:11.240 In
01:56:11.680 Cooperation
01:56:12.260 With
01:56:12.560 Federal
01:56:13.080 Agencies
01:56:13.980 Doing
01:56:15.000 A
01:56:15.260 Tree
01:56:15.640 Of
01:56:16.240 Everybody's
01:56:16.880 Call
01:56:17.200 So
01:56:17.600 If
01:56:17.860 If
01:56:18.520 Somebody
01:56:19.160 Has
01:56:20.600 Reached
01:56:21.040 Out
01:56:21.320 To
01:56:21.520 A
01:56:21.700 Criminal
01:56:22.140 In
01:56:23.500 The
01:56:23.600 United
01:56:23.880 States
01:56:24.380 They're
01:56:24.740 Not
01:56:24.900 Supposed
01:56:25.220 To
01:56:25.400 Do
01:56:25.540 This
01:56:25.740 This
01:56:25.900 Is
01:56:25.960 Against
01:56:26.500 The
01:56:26.920 Law
01:56:27.380 This
01:56:27.660 Is
01:56:27.780 Against
01:56:28.080 The
01:56:28.280 Constitution
01:56:28.960 Somebody
01:56:30.160 Reaches
01:56:30.760 Out
01:56:30.960 To
01:56:31.060 A
01:56:31.180 Criminal
01:56:31.460 Into
01:56:31.780 The
01:56:31.940 United
01:56:32.220 States
01:56:32.680 If
01:56:33.380 They're
01:56:33.900 That
01:56:34.700 Person
01:56:35.180 That
01:56:35.380 Reaches
01:56:35.660 Out
01:56:36.080 Is
01:56:36.520 In
01:56:36.740 Your
01:56:37.060 Phone
01:56:37.520 Tree
01:56:37.880 You're
01:56:39.380 You're
01:56:39.920 On
01:56:40.040 A
01:56:40.260 List
01:56:40.680 What
01:56:41.440 The
01:56:41.640 Hell
01:56:41.860 Is
01:56:42.060 That
01:56:42.480 Well
01:56:44.380 For
01:56:45.100 Me
01:56:45.400 It
01:56:45.740 Would
01:56:45.880 Be
01:56:46.000 The
01:56:46.200 End
01:56:46.400 Of
01:56:46.540 My
01:56:46.760 AT&T
01:56:47.800 Membership
01:56:49.160 But
01:56:49.480 That's
01:56:49.860 Up
01:56:50.020 To
01:56:50.140 You
01:56:50.420 Patriot
01:56:51.440 Mobile
01:56:51.740 Is
01:56:52.420 America's
01:56:52.980 Only
01:56:53.420 Christian
01:56:53.940 Conservative
01:56:54.560 Wireless
01:56:55.120 Provider
01:56:55.700 And
01:56:55.980 They're
01:56:56.160 Not
01:56:56.360 Doing
01:56:56.620 Any
01:56:57.120 Of
01:56:57.400 This
01:56:57.760 Their
01:56:58.840 Mission
01:56:59.460 Is
01:57:00.100 To
01:57:00.280 Passionally
01:57:00.960 Defend
01:57:01.420 Our
01:57:01.700 God
01:57:02.220 Given
01:57:02.660 Constitutional
01:57:03.780 Rights
01:57:04.080 And
01:57:04.380 Freedoms
01:57:05.000 I
01:57:05.780 Don't
01:57:05.920 Know
01:57:06.180 Being
01:57:07.140 In
01:57:07.320 Bed
01:57:07.460 With
01:57:07.600 The
01:57:07.720 Federal
01:57:07.940 Government
01:57:08.360 And
01:57:08.840 Just
01:57:09.400 Snooping
01:57:10.000 On
01:57:10.220 Everybody
01:57:10.660 That
01:57:11.080 Doesn't
01:57:11.400 Seem
01:57:11.600 Like
01:57:11.800 That
01:57:11.940 Would
01:57:12.080 Be
01:57:12.220 Part
01:57:12.460 Of
01:57:12.540 Their
01:57:12.680 Mission
01:57:13.060 That's
01:57:14.260 The
01:57:14.460 Mission
01:57:14.820 They
01:57:15.140 Stand
01:57:15.700 By
01:57:16.080 Keep
01:57:17.100 Your
01:57:17.260 Phone
01:57:17.500 Number
01:57:17.800 Keep
01:57:18.140 Your
01:57:18.300 Existing
01:57:18.820 Phone
01:57:19.160 Or
01:57:19.420 For
01:57:19.580 A
01:57:19.740 Limited
01:57:19.920 Time
01:57:20.240 Get
01:57:20.440 A
01:57:20.560 Free
01:57:20.760 Smartphone
01:57:21.400 From
01:57:21.680 Patriot
01:57:22.300 Mobile
01:57:22.500 Just
01:57:22.800 Go
01:57:22.980 To
01:57:23.200 Patriot
01:57:23.780 Mobile
01:57:24.040 Dot
01:57:24.340 Com
01:57:24.640 Slash
01:57:25.540 Beck
01:57:25.920 Call
01:57:26.480 972
01:57:27.240 Patriot
01:57:27.760 Use
01:57:28.000 The
01:57:28.120 Promo
01:57:28.340 Code
01:57:28.740 Friday
01:57:29.500 76
01:57:30.500 Again
01:57:31.660 Get
01:57:31.900 A
01:57:32.000 Free
01:57:32.180 Smartphone
01:57:32.820 With
01:57:33.240 The
01:57:33.420 Promo
01:57:33.660 Code
01:57:34.020 Friday
01:57:34.560 76
01:57:35.480 It
01:57:36.400 Is
01:57:36.780 A
01:57:37.000 Limited
01:57:37.400 Time
01:57:37.740 Offer
01:57:38.140 Join
01:57:38.660 Me
01:57:38.800 Make
01:57:39.060 The
01:57:39.240 Switch
01:57:39.540 Today
01:57:40.200 Patriot
01:57:41.000 Mobile
01:57:41.240 Dot
01:57:41.560 Com
01:57:41.880 Slash
01:57:42.420 Beck
01:57:42.760 972
01:57:43.940 Patriot
01:57:44.560 Join
01:57:46.140 The
01:57:46.300 Conversation
01:57:47.060 888
01:57:48.180 727
01:57:49.200 Beck
01:57:49.740 The
01:57:50.480 Glenn
01:57:50.760 Beck
01:57:51.000 Program
01:57:51.520 This is the
01:58:08.880 Glenn Beck
01:58:09.320 Program
01:58:09.700 I want to
01:58:10.600 play some
01:58:10.960 video that
01:58:11.480 might have
01:58:12.360 missed everybody
01:58:13.900 during the
01:58:14.540 holiday
01:58:14.900 it's about
01:58:16.260 our air
01:58:16.680 marshals
01:58:17.360 listen to
01:58:18.820 this
01:58:19.220 so how
01:58:20.720 many air
01:58:21.700 marshals
01:58:22.100 are on
01:58:22.980 planes
01:58:23.480 right now
01:58:24.060 and how
01:58:24.400 many do
01:58:24.840 you think
01:58:25.140 there should
01:58:26.560 be to
01:58:27.340 get to
01:58:28.360 a safe
01:58:28.860 level
01:58:29.180 well
01:58:31.200 Carly
01:58:31.540 we're not
01:58:32.000 we're not
01:58:32.460 flying right
01:58:33.060 now the
01:58:33.400 only missions
01:58:33.940 that we're
01:58:34.260 doing are
01:58:34.680 quiet skies
01:58:35.340 missions and
01:58:35.880 those are
01:58:36.200 missions that
01:58:36.660 are following
01:58:37.100 the January
01:58:37.760 2021 people
01:58:39.060 so we're
01:58:40.100 either on
01:58:40.620 the border
01:58:41.120 for illegal
01:58:42.100 immigrants or
01:58:42.760 we're following
01:58:43.240 folks from
01:58:44.220 January
01:58:44.700 2021
01:58:45.300 we're not
01:58:46.300 doing our
01:58:46.760 regular missions
01:58:47.440 where we're
01:58:48.000 out there
01:58:48.400 looking for
01:58:49.040 the bad
01:58:49.420 guys
01:58:49.820 so right
01:58:50.780 now on
01:58:51.600 most flights
01:58:52.540 you're not
01:58:52.820 going to have
01:58:53.160 air marshals
01:58:53.720 this is the
01:58:54.440 director of
01:58:55.480 the air
01:58:56.200 marshals
01:58:57.180 okay for
01:58:57.920 the Department
01:58:58.400 of Homeland
01:58:58.780 Security
01:58:59.240 we're not
01:59:00.700 flying with
01:59:01.540 air marshals
01:59:02.400 because they're
01:59:03.320 busy down on
01:59:04.260 the border
01:59:04.740 or they are
01:59:06.800 following the
01:59:08.020 January 6
01:59:09.440 people
01:59:10.080 wow what a
01:59:11.200 clip that is
01:59:11.960 yeah and it
01:59:12.920 certainly seems
01:59:13.660 like I could be
01:59:14.320 reading this wrong
01:59:14.920 seems like she's
01:59:15.880 there to say
01:59:16.560 that
01:59:16.840 yeah
01:59:17.800 she's this is
01:59:18.680 not her saying
01:59:19.320 like we're
01:59:19.720 really happy
01:59:20.340 that we're
01:59:20.700 following around
01:59:21.300 January 6
01:59:22.140 people and not
01:59:22.840 doing our
01:59:23.220 actual air
01:59:23.720 air marshal
01:59:24.580 thing I don't
01:59:25.260 know about
01:59:25.620 that I don't
01:59:26.140 know that's why
01:59:26.640 would she do
01:59:27.080 that interview
01:59:27.500 and say it
01:59:28.000 like that
01:59:28.560 like why
01:59:29.380 would she
01:59:29.700 what she
01:59:30.500 would know
01:59:31.120 that that
01:59:31.580 would be
01:59:31.860 controversial
01:59:32.500 to the Fox
01:59:33.700 News audience
01:59:34.540 it sounds like
01:59:36.160 something like
01:59:36.560 she's pissed
01:59:37.280 off about it
01:59:37.880 wants people to
01:59:38.680 know I hope
01:59:39.240 that's I hope
01:59:39.860 that's the
01:59:40.180 case I hope
01:59:40.660 that's the
01:59:41.100 case
01:59:41.440 also we
01:59:43.300 have four
01:59:43.880 Northwest
01:59:44.520 Republican
01:59:45.260 lawmakers
01:59:45.800 that have
01:59:46.360 asked the
01:59:46.820 federal
01:59:47.080 government
01:59:47.540 to share
01:59:49.000 the details
01:59:49.800 of the
01:59:50.480 secret
01:59:51.040 negotiations
01:59:51.940 between the
01:59:52.820 government
01:59:53.160 and environmental
01:59:54.060 groups that
01:59:55.900 are calling
01:59:56.760 for the
01:59:57.260 removal of
01:59:58.000 five dams
01:59:59.460 on the
02:00:00.000 Columbia
02:00:00.460 and Snake
02:00:01.180 River
02:00:01.500 this is kind
02:00:04.060 of important
02:00:04.800 if you
02:00:07.520 don't I
02:00:07.960 can't believe
02:00:08.420 it's only the
02:00:09.120 Republicans that
02:00:10.080 are standing
02:00:10.640 up and saying
02:00:11.140 hey can we
02:00:11.820 find out
02:00:12.260 about this
02:00:12.680 federal
02:00:13.200 government
02:00:13.580 has no
02:00:14.520 right no
02:00:15.600 right to
02:00:16.180 do this
02:00:16.580 we're talking
02:00:17.700 about the
02:00:19.360 hydroelectric
02:00:20.580 plants five
02:00:22.140 of them that
02:00:23.580 practically provide
02:00:25.860 most of the
02:00:27.060 power for the
02:00:28.700 Pacific Northwest
02:00:29.500 so you have
02:00:31.200 hydroelectric
02:00:32.360 which is zero
02:00:34.040 emissions by the
02:00:35.120 way you have
02:00:36.980 hydroelectric power
02:00:38.400 being generated
02:00:39.380 and to save
02:00:41.300 the salmon
02:00:42.440 they're talking
02:00:44.280 about undamming
02:00:45.760 those now
02:00:46.700 so you know
02:00:47.760 I have a
02:00:49.520 farm in
02:00:50.360 Idaho
02:00:50.920 that will
02:00:52.580 affect
02:00:53.080 my water
02:00:54.660 that will
02:00:55.600 affect the
02:00:56.140 water of
02:00:56.880 everyone
02:00:57.920 all of the
02:00:59.360 farmers
02:00:59.840 that much
02:01:02.140 of the
02:01:02.560 Pacific Northwest
02:01:03.440 from Washington
02:01:04.740 Idaho
02:01:06.060 Utah
02:01:06.920 Wyoming
02:01:07.560 is high
02:01:08.600 desert
02:01:09.120 there's no
02:01:10.480 water
02:01:10.940 you have
02:01:13.120 growing
02:01:13.580 populations
02:01:14.280 and we're
02:01:15.860 already killing
02:01:16.680 our farmers
02:01:17.300 you're gonna
02:01:17.940 shut the
02:01:18.600 water off
02:01:19.520 and they're
02:01:20.980 doing it
02:01:21.500 in secret
02:01:22.480 how big
02:01:24.920 of a deal
02:01:25.240 would that
02:01:25.540 be
02:01:25.760 oh my
02:01:26.880 gosh
02:01:27.240 it would
02:01:27.800 completely
02:01:28.440 change
02:01:29.120 it would
02:01:29.920 completely
02:01:30.300 change
02:01:30.760 the
02:01:31.040 Pacific
02:01:31.520 Northwest
02:01:31.900 you would
02:01:33.080 have
02:01:33.420 massive
02:01:34.720 power
02:01:35.220 outages
02:01:35.820 all
02:01:37.320 throughout
02:01:37.820 the
02:01:38.060 Pacific
02:01:38.400 Northwest
02:01:38.820 you would
02:01:40.320 you would
02:01:40.880 have
02:01:41.060 farmers
02:01:41.580 go out
02:01:42.600 of business
02:01:43.020 in my
02:01:43.520 area
02:01:43.880 it's high
02:01:44.340 desert
02:01:44.700 you're
02:01:45.600 not
02:01:45.800 growing
02:01:46.200 anything
02:01:46.600 without
02:01:46.920 water
02:01:47.360 supply
02:01:47.880 if you
02:01:48.820 don't
02:01:49.040 have a
02:01:49.460 reservoir
02:01:49.860 you
02:01:50.780 you don't
02:01:51.740 have
02:01:51.900 water
02:01:52.280 so
02:01:54.000 all
02:01:54.600 of
02:01:54.800 the
02:01:55.120 all
02:01:55.780 of
02:01:56.040 the
02:01:56.580 farmland
02:01:59.220 majority
02:02:00.700 of it
02:02:01.020 gone
02:02:01.440 my
02:02:01.640 understanding
02:02:01.920 is the
02:02:02.240 water
02:02:02.420 just
02:02:02.580 comes
02:02:02.760 out
02:02:02.900 of
02:02:02.980 the
02:02:03.100 faucet
02:02:03.520 though
02:02:03.700 you
02:02:04.100 just
02:02:04.260 turn
02:02:04.440 yeah
02:02:04.640 you
02:02:04.880 do
02:02:05.080 have
02:02:05.360 that
02:02:05.760 you
02:02:06.100 do
02:02:06.320 have
02:02:06.580 that
02:02:06.760 you'll
02:02:07.020 still
02:02:07.240 have
02:02:07.460 the
02:02:07.620 water
02:02:07.880 out
02:02:08.120 of
02:02:08.200 the
02:02:08.360 faucet
02:02:08.760 sure
02:02:09.220 sure
02:02:09.840 but
02:02:10.560 farmers
02:02:11.040 don't
02:02:11.460 have
02:02:11.800 a
02:02:11.940 big
02:02:12.120 enough
02:02:12.400 faucet
02:02:13.000 okay
02:02:13.340 that's
02:02:13.680 how
02:02:13.760 it
02:02:13.860 works
02:02:14.100 yeah
02:02:14.400 so
02:02:14.680 they're
02:02:14.860 gonna
02:02:14.920 have
02:02:15.040 to
02:02:15.120 make
02:02:15.300 bigger
02:02:15.580 faucets
02:02:16.180 i'm
02:02:16.520 from
02:02:16.660 the
02:02:16.780 northeast
02:02:17.100 so
02:02:17.340 i
02:02:17.460 don't
02:02:17.580 understand
02:02:18.080 but
02:02:18.360 you're
02:02:18.700 just
02:02:18.900 basically
02:02:19.300 saying
02:02:19.720 that
02:02:19.980 the
02:02:20.260 water
02:02:20.640 that
02:02:20.860 just
02:02:21.100 magically
02:02:21.540 comes
02:02:21.840 out
02:02:21.980 of
02:02:22.040 the
02:02:22.160 faucet
02:02:22.520 might
02:02:22.800 not
02:02:23.040 come
02:02:23.240 out
02:02:23.380 of
02:02:23.440 the
02:02:23.560 faucet
02:02:23.880 and
02:02:24.220 on top
02:02:25.260 of
02:02:25.400 that
02:02:25.520 if
02:02:25.900 you're
02:02:26.100 not
02:02:26.440 around
02:02:26.800 an
02:02:27.000 electrical
02:02:27.540 outlet
02:02:28.220 yeah
02:02:28.700 you won't
02:02:29.360 have
02:02:29.620 electricity
02:02:30.140 either
02:02:30.540 now i'm
02:02:30.840 concerned
02:02:31.160 about this
02:02:31.740 because
02:02:32.220 normally i don't
02:02:33.160 care about
02:02:33.700 electricity
02:02:34.200 because it's
02:02:34.620 so bad
02:02:34.940 for the
02:02:35.200 environment
02:02:35.580 right
02:02:35.960 but the
02:02:36.760 electric car
02:02:37.520 revolution
02:02:38.120 is happening
02:02:38.960 what does
02:02:39.240 this mean
02:02:39.580 for electric
02:02:40.120 cars
02:02:40.480 exactly
02:02:41.300 you can
02:02:41.880 see now
02:02:42.360 you're
02:02:42.580 thinking
02:02:42.880 wow
02:02:43.220 now you're
02:02:43.760 thinking
02:02:44.040 like a
02:02:44.360 real
02:02:44.520 environmentalist
02:02:45.260 ah
02:02:45.740 that's
02:02:47.940 never
02:02:48.120 been
02:02:48.360 said
02:02:48.680 uh
02:02:50.140 yeah
02:02:51.220 this is
02:02:51.880 really
02:02:52.660 really
02:02:53.640 bad
02:02:54.100 really
02:02:54.760 bad
02:02:55.180 i can't
02:02:56.000 i mean
02:02:56.260 i i
02:02:56.920 first of
02:02:58.180 all they're
02:02:58.480 cutting
02:02:58.740 all of
02:02:59.480 the voters
02:02:59.880 out
02:03:00.260 they're
02:03:01.040 cutting
02:03:01.320 the
02:03:01.580 electrical
02:03:02.140 uh
02:03:02.980 utility
02:03:03.340 companies
02:03:03.900 out
02:03:04.300 the
02:03:04.920 utilities
02:03:05.540 are like
02:03:06.080 uh
02:03:06.520 excuse
02:03:06.800 me
02:03:07.040 are
02:03:07.360 you
02:03:07.500 just
02:03:07.700 you're
02:03:08.000 making
02:03:08.220 changes
02:03:08.660 to
02:03:09.020 our
02:03:10.160 livelihoods
02:03:11.020 and you're
02:03:11.260 not even
02:03:11.540 talking to
02:03:11.980 us about
02:03:12.340 it
02:03:12.500 they're
02:03:13.280 just
02:03:13.660 making
02:03:14.080 a deal
02:03:14.580 with the
02:03:14.980 native
02:03:15.180 american
02:03:15.620 tribes
02:03:16.100 to save
02:03:16.920 the
02:03:17.140 salmon
02:03:17.460 isn't a
02:03:18.220 somewhat
02:03:18.640 similar
02:03:18.920 thing
02:03:19.140 happening
02:03:19.540 across
02:03:20.000 the
02:03:20.260 southwest
02:03:20.540 as well
02:03:21.100 with
02:03:21.660 you know
02:03:22.360 vegas
02:03:23.760 and phoenix
02:03:24.640 and all
02:03:25.040 these areas
02:03:25.700 that need
02:03:26.680 water
02:03:27.500 well there's
02:03:28.620 all sorts
02:03:28.940 of rights
02:03:29.360 battles
02:03:29.760 over them
02:03:30.280 and
02:03:31.240 environmental
02:03:31.720 battles
02:03:32.220 going on
02:03:32.860 and they
02:03:34.000 keep
02:03:34.380 trying
02:03:35.180 to
02:03:35.840 play
02:03:37.280 with
02:03:37.480 these
02:03:37.660 rights
02:03:38.000 in a
02:03:38.240 way
02:03:38.360 that
02:03:38.560 could
02:03:38.820 really
02:03:39.100 screw
02:03:39.520 these
02:03:39.820 cities
02:03:40.240 that
02:03:40.480 have
02:03:40.660 been
02:03:40.840 built
02:03:41.100 up
02:03:41.500 in
02:03:41.700 these
02:03:41.840 areas
02:03:42.240 this
02:03:43.280 is
02:03:43.460 all
02:03:43.660 over
02:03:44.140 the
02:03:44.300 west
02:03:44.540 right
02:03:44.720 now
02:03:45.160 is
02:03:45.460 a
02:03:45.840 desert
02:03:46.620 you know
02:03:48.120 Arizona
02:03:50.120 is a
02:03:51.080 desert
02:03:51.500 there's a
02:03:52.020 reason why
02:03:52.860 people didn't
02:03:53.760 live there
02:03:54.560 years ago
02:03:55.360 and when I
02:03:55.780 say years
02:03:56.260 ago
02:03:56.500 five
02:03:57.800 decades
02:03:58.820 ago
02:03:59.320 not like
02:04:00.040 a thousand
02:04:00.560 years ago
02:04:01.220 right
02:04:01.500 five decades
02:04:02.640 ago
02:04:03.000 no air
02:04:03.720 conditioning
02:04:04.220 because there
02:04:05.100 was not
02:04:05.520 enough
02:04:05.780 electricity
02:04:06.320 and no
02:04:07.280 water
02:04:07.840 you start
02:04:09.360 screwing
02:04:10.120 with our
02:04:10.640 dams
02:04:11.420 and our
02:04:11.800 hydroelectric
02:04:12.720 system
02:04:14.320 as well
02:04:15.840 as
02:04:16.480 reservoirs
02:04:17.980 what are
02:04:19.540 those towns
02:04:20.140 going to
02:04:20.500 do
02:04:20.800 they will
02:04:22.700 dry up
02:04:23.380 and blow
02:04:24.180 away
02:04:24.660 who are
02:04:27.260 these people
02:04:27.960 in Washington
02:04:28.660 who are
02:04:30.180 they
02:04:30.540 the
02:04:42.480 Glenn
02:04:42.760 back
02:04:43.000 program