The Glenn Beck Program - Why Is AT&T Spying on Us？｜ 11⧸27⧸23

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00:00:39.740 All right.

00:00:40.540 Well, how you set?

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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. 0.99

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. 0.80

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. 1.00

00:08:26.600 Oh, you're saying that we shouldn't kill them. 0.99

00:08:29.640 Oh. 0.94

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. 0.98

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. 0.84

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. 0.92

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. 0.62

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. 1.00

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. 1.00

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 0.99

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. 0.96

00:14:22.280 And that wasn't the end of her story because then she was taken prisoner next door. 0.94

00:14:27.380 They kidnapped the entire family and brought them over to Gaza. 0.96

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. 0.98

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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00:15:39.900 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. 0.71

00:18:40.980 They're so right. 0.95

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 1.00

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.

00:23:46.180 I trust.com.

00:23:47.700 That's real estate agents.

00:23:49.440 I trust.com.

00:23:55.140 Head over to blaze TV.com slash Glenn.

00:23:57.360 Great gift for the holidays.

00:23:58.820 You get 20 bucks off your subscription to blaze TV.

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. 0.70

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? 0.99

00:31:10.280 The question, they should kill the one man because they would save four people's lives. 0.98

00:31:17.480 Which means what? 0.99

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. 1.00

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? 1.00

00:31:31.160 Okay. 0.99

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. 0.98

00:32:22.640 And we're going to execute him. 0.98

00:32:25.340 And that would save the lives of the five if you get rid of the one. 0.99

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? 0.99

00:35:33.720 So you could kill a billion white people, but you'll prevent them saying the N word? 1.00

00:35:38.820 No, no, no, no. 1.00

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. 0.90

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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00:37:14.120 Go there now for $200 in savings.

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, 0.95

00:38:04.420 or let them all die without uttering it, which route would you take? 0.98

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. 1.00

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? 1.00

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. 1.00

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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00:44:19.260 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? 0.98

00:45:07.220 Yet at some point, you're just like, this guy is a disgusting pig, and so is everybody else. 0.99

00:45:12.100 I mean, I watched it from the frame of mind. 0.99

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. 0.80

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. 0.99

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. 1.00

00:46:35.920 And he was just a pig. 0.99

00:46:37.440 Right. 1.00

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... 0.85

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. 0.95

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. 0.98

00:51:21.120 Like, you are a nerd. 0.98

00:51:23.680 I agree. 1.00

00:51:24.240 A big, fat nerd. 0.99

00:51:25.920 Okay, no need to rub it in. 0.95

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. 0.98

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. 1.00

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. 1.00

00:53:07.640 They should. 1.00

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. 0.99

00:55:23.720 It's the darn environment. 1.00

00:55:25.320 That political environment. 0.99

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 0.54

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. 0.95

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. 0.98

00:59:40.540 Now their standard is dumb and it's ruining the company and they've, they've literally 0.98

00:59:45.780 lit on fire a hundred years of, of goodwill. 0.98

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.

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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... 0.98

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. 0.78

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. 0.86

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. 0.99

01:10:18.380 Apparently, you can kidnap and murder thousands of people. 0.99

01:10:22.040 Yeah. 0.96

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. 0.57

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. 0.99

01:12:46.920 The Dutch are tired of having people just rape their daughters, kill on the street and 0.99

01:12:55.180 no ramification, no ramification. 0.96

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. 0.97

01:13:26.440 They don't want to be Dutch. 1.00

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. 1.00

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 0.99

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.

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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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01:23:54.080 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 0.97

01:27:07.020 And damn the rest of the world 0.98

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 0.99

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 0.53

01:29:09.960 Which was a choice 0.65

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 0.94

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 0.88

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 0.88

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 0.88

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 0.88

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 0.57

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 0.88

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 0.88

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 1.00

01:40:30.560 Die 0.99

01:40:30.920 A 0.89

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 0.96

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 0.88

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

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01:46:41.380 Use

01:46:41.580 System

01:46:41.960 Used

01:46:42.740 By

01:46:42.960 The

01:46:43.120 Military

01:46:43.500 And

01:46:43.740 It

01:46:43.860 Helps

01:46:44.080 Improve

01:46:44.500 Your

01:46:44.740 Shooting 0.96

01:46:45.060 Quickly 1.00

01:46:45.720 You

01:46:46.340 Attach

01:46:46.740 It

01:46:46.860 To

01:46:46.980 Your

01:46:47.140 Firearm

01:46:47.660 Connect

01:46:48.120 It

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 0.99

01:47:34.320 Damn 0.99

01:47:34.620 Thing 1.00

01:47:34.960 Can

01:47:36.380 We

01:47:36.500 Use 0.99

01:47:37.540 Darn

01:47:37.780 Please 0.97

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 0.88

01:47:41.580 But

01:47:41.760 It's

01:47:41.960 A 0.98

01:47:42.060 Damn 0.99

01:47:42.300 Thing 1.00

01:47:42.560 Darn

01:47:42.900 No 0.97

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 0.88

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 0.88

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 0.88

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 0.88

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 0.88

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 0.99

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 0.88

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 0.88

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 0.63

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 0.88

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 0.88

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 0.88

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 0.88

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

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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 0.88

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

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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 0.93

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 0.88

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 0.88

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 0.88

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 0.88

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 0.88

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 0.88

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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 0.88

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 0.88

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 0.88

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 0.97

01:56:41.640 Hell

01:56:41.860 Is 0.88

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 0.88

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 0.88

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 0.88

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 0.95

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 1.00

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 0.95

02:01:16.680 our farmers 1.00

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 0.97

02:03:39.520 these 0.98

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 0.99

02:04:09.360 screwing 0.99

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 1.00

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

The Glenn Beck Program - November 27, 2023

Why Is AT&T Spying on Us？｜ 11⧸27⧸23

Episode Stats

Summary

Transcript

The Glenn Beck Program - November 27, 2023

Why Is AT&T Spying on Us？ ｜ 11⧸27⧸23

Episode Stats

Summary

Transcript

Why Is AT&T Spying on Us？｜ 11⧸27⧸23