The Glenn Beck Program - Falsely Deranged？｜ Guest： Bill O’Reilly ｜ 1⧸11⧸19

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00:01:09.100 This is the Glenn Beck Program.

00:01:10.900 There is, there are a couple of stories today that show the press completely exposed.

00:01:20.840 Jim Acosta, naked, on the border.

00:01:24.000 I can't wait to share my thoughts on Jim Acosta.

00:01:28.800 Also, there was a first yesterday, and while it's not the best use of it, it, I think, is a shot across the bow with deep fakes.

00:01:42.400 There's a story that was released yesterday about how a television station changed the feed of the president and made him look just nuts.

00:01:55.220 It's a deep fake, but is this the first real deep fake of the election in 2020?

00:02:04.600 I think it is.

00:02:06.160 If you've been listening to this program, you know what a deep fake is.

00:02:10.000 We've been talking about them for years, and we told you this is going to change things.

00:02:15.080 This one didn't, thank goodness, but the story, there's something wrong with the story, and we'll get into that.

00:02:22.580 And Bill O'Reilly, all on today's program.

00:02:28.200 This is the Glenn Beck Program.

00:02:30.500 All right, we've moved a lot of the commercials out of this broadcast.

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00:04:35.680 So, Jim Acosta has a real problem with the president, saying this is a humanitarian crisis.

00:04:53.820 Oh, my gosh.

00:04:54.580 He was out yesterday in the blazing sun.

00:04:58.660 He was down at the border where there is a border fence, a border wall, one of those big iron slatted iron walls where, you know, the ones where they're like, look, you could just cut right through this.

00:05:16.640 Well, there hasn't been anybody who's cut through one of them, you know, unless you were there with a blowtorch and you were doing an example on TV.

00:05:24.720 But Jim Acosta was there, and it was about 1 o'clock in the afternoon, and he's walking around in his sunglasses by this wall and says, look, I see the vets here, and there isn't any humanitarian crisis.

00:05:40.820 There isn't any problem.

00:05:42.100 In fact, here's the audio.

00:05:43.820 Listen to this arrogant fool.

00:05:46.160 And here are some of the steel slats that the president's been talking about right here.

00:05:50.120 As you can see, yes, you can see through these slats to the other side of the U.S.-Mexico border.

00:05:56.400 But as we're walking along here, we're not seeing any kind of imminent danger.

00:06:00.280 There are no migrants trying to rush toward this fence here in the McAllen, Texas area.

00:06:05.740 As a matter of fact, there are some other businesses behind me along this highway.

00:06:09.100 There's a gas station, Burger King, and so on.

00:06:11.800 But no sign of the national emergency that the president has been talking about.

00:06:16.500 As a matter of fact, it's pretty tranquil down here.

00:06:18.800 Yeah, it's pretty tranquil.

00:06:20.880 You know, where were you, Jim?

00:06:23.020 In McAllen, Texas, when I was in McAllen, Texas.

00:06:27.480 You know, because there was a humanitarian crisis.

00:06:29.540 In fact, could we play the audio, please, the montage between President Obama and President Trump on the humanitarian crisis at the border?

00:06:41.740 We now have an actual humanitarian crisis on the border that only underscores the need to drop the politics and fix our immigration system once and for all.

00:06:50.420 This is a humanitarian crisis, a crisis of the heart and a crisis of the soul.

00:06:58.020 In recent weeks, we've seen a surge of unaccompanied children arrive at the border, brought here and to other countries by smugglers and traffickers.

00:07:05.600 The journey is unbelievably dangerous for these kids.

00:07:11.480 Child smugglers exploit the loopholes and they gain illegal entry into the United States, putting countless children in danger on the perilous trek to the United States.

00:07:24.700 They come up through Mexico.

00:07:27.700 Protecting public safety and deporting dangerous criminals has been and will remain the top priority.

00:07:32.380 We will begin removing the more than two million criminal illegal immigrants from the country.

00:07:38.260 But we are going to refocus our efforts where we can to make sure we do what it takes to keep our border secure.

00:07:44.020 We want to secure our border.

00:07:45.480 Thank you, Mike Broomhead, who happens to live in a border state, Arizona, and our affiliate in Phoenix for putting those that montage together.

00:07:53.980 It wasn't real difficult because both of them have been talking about humanitarian crisis and everybody in America knows it, except for the, quote, journalists like Jim Acosta, who was, again, down at the border.

00:08:11.380 You know, and if you if you look at when border crosses happen, they usually happen around lunchtime right there by the Burger King and the giant wall.

00:08:22.240 Either that or they happen in the middle of the night under the cover of darkness.

00:08:26.780 Now, Jim Acosta is going to Jim Acosta is going to be on a couple of other assignments this week.

00:08:31.680 So, you know, because there's some other real tragedies that are going on, some other things that he has uncovered.

00:08:39.060 For instance, people say, you know, Broadway is doing well.

00:08:42.900 You know, hey, theater, this is a great time for the theater in New York.

00:08:46.600 Well, Jim Acosta will be down on Broadway on Monday night to show you not a single theater is open.

00:08:54.180 Not a play is happening on Broadway on Monday night.

00:08:59.140 Then on Tuesday, he's going to be around 11 o'clock going around the country at some of our biggest churches.

00:09:05.620 And he will 11 o'clock Tuesday morning.

00:09:08.540 Don't miss the Jim Acosta expose on how most of American churches are empty.

00:09:15.120 The fact that Americans attend weekly service is a lie. 0.99

00:09:20.620 And Jim Acosta will be exposing that.

00:09:24.180 Oh, my gosh, this guy is so crazy.

00:09:27.520 He is the worst, man.

00:09:29.020 It's all about Jim Acosta.

00:09:30.480 None of this means anything.

00:09:31.780 Yes, he hates the president.

00:09:33.620 But that is secondary to his love for himself.

00:09:36.380 And that is what is so disturbing about Jim Acosta.

00:09:38.840 I mean, again, you're making the point, right?

00:09:41.200 If there's a wall there, if there were people rushing to the border in the middle of the day, which that's not when they do it typically.

00:09:46.820 But if that's when they were doing it, they would pick a different spot to do it.

00:09:49.980 They wouldn't do it right there because of the wall you're standing next to.

00:09:53.060 Well, look, I think, Jim, your station may have had some footage at some point or you may have seen it on another network where they were charging the border in the middle of the day at a fence.

00:10:06.400 But that was in San Diego.

00:10:08.700 That's where the humanitarian crisis is happening that we've been talking about for the last few months.

00:10:16.800 You happen to be in the place where the humanitarian crisis was happening under Obama.

00:10:23.760 That's why I was there.

00:10:25.420 That's why I called CNN and said, hey, do you know that they're putting kids in cages?

00:10:33.260 But you weren't there.

00:10:35.300 You were probably at the zoo doing the expose.

00:10:39.520 Glenn Beck says they're putting children in cages.

00:10:42.380 Well, I'm here at the San Diego Zoo and I don't see any children in these cages.

00:10:48.600 Come on.

00:10:49.580 He is just the worst.

00:10:55.760 He is the worst.

00:10:57.700 The best thing is, though, the best thing is they're just so discrediting themselves.

00:11:03.820 Even liberals had to watch that and went, oh, dear God, Jim, what are you doing?

00:11:10.420 Well, it's amazing he didn't realize that he was making the opposite point.

00:11:14.480 And that's why people jumped on it and are making fun of the report.

00:11:17.920 But it separates it from every other report Jim Acosta does.

00:11:21.580 And I think we missed the larger issue here is that his point there, let's just say he made it in front of a small wall or a place where there was no wall.

00:11:29.700 And it was at night, right?

00:11:31.380 It would be disingenuous to go there and find one place at one moment and act as if you're disproving the president.

00:11:37.740 Because at that one moment, no one was crossing.

00:11:40.280 Not true.

00:11:40.560 Not true.

00:11:40.940 It is true.

00:11:41.700 No, it's not.

00:11:42.360 And I proved it.

00:11:43.560 I proved it.

00:11:44.820 Last night, I went to the so-called Mayo Clinic.

00:11:48.860 And I was there at the nurse's station the whole night.

00:11:52.460 And I didn't see it.

00:11:54.000 I was surrounded by healthy people.

00:11:56.480 So this thing, oh, cancer and the Mayo Clinic is just riddled with sick people.

00:12:02.740 I was there at the nurse's station the entire night.

00:12:06.660 So please, don't start with that.

00:12:09.420 Can I say what my favorite part of this entire rant was, by the way?

00:12:12.380 Yeah.

00:12:12.560 Because you made very funny points.

00:12:14.460 But my favorite part about it is you're so in the world of Broadway that it was completely obvious to you that plays don't happen on Monday nights.

00:12:21.840 Like, to me, I was like, why Monday night?

00:12:23.640 Why wouldn't there be plays?

00:12:24.840 And to you, it was so, you're so in the Broadway.

00:12:28.460 No, no, no.

00:12:28.600 I did think it's dark on that night.

00:12:31.720 The only reason why I used it is because I know that everybody with Jim Acosta and CNN know exactly when.

00:12:40.680 That's why I followed it with churches on Tuesday.

00:12:43.440 We have the deepfake guy on in a minute.

00:12:50.940 His name is Todd Herman.

00:12:53.200 And he and a listener exposed something that I think is much more important than most people think.

00:13:01.240 And there's something wrong with the story.

00:13:02.780 And I want to talk to him about it.

00:13:03.840 It's coming up in one minute.

00:13:06.000 All right.

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00:13:15.520 It's like a border wall around salad.

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00:13:19.340 Oh, my gosh.

00:13:19.800 Thank you.

00:13:20.900 If you hate salad as much as I do, and if you're tired of people saying, you got to eat your green vegetable.

00:13:26.480 If a kale person comes up to me when I am taking a picture of this sad sandwich that my son-in-law is being forced to eat by his wife.

00:13:38.180 I looked at him yesterday.

00:13:39.640 By his wife? 0.80

00:13:40.380 But yeah, my daughter.

00:13:41.300 Your daughter.

00:13:41.860 Yeah.

00:13:42.060 Yeah.

00:13:42.560 And she remains his wife in this case. 0.61

00:13:45.880 Did you like get it, throw her out of the family because of her salad habits? 0.99

00:13:48.960 No, it's not the salad habits.

00:13:50.280 It's the sandwich.

00:13:51.100 I'm going to take a picture of it if he brings it in today, if he has it again today.

00:13:54.300 He's had it two days in a row.

00:13:55.940 It is.

00:13:57.160 It's wrapped in like, I don't know.

00:13:58.600 I don't even know what kind of leaf it is.

00:14:00.660 It's not bread.

00:14:02.880 That's a leaf.

00:14:04.000 And I don't even know what kind of leaf.

00:14:05.800 It's like a leaf from a jungle.

00:14:07.420 It's not right to do to man.

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00:14:37.000 10 Second Station ID.

00:14:38.200 From the Todd Herman show.

00:14:55.840 It is Todd Herman in Seattle.

00:14:59.080 Todd, I wanted to get you on because of a story that broke yesterday and you were at the center of it.

00:15:05.080 You and one of your listeners, can you tell me exactly what happened?

00:15:10.900 Because either something is missing in the story or something is wrong.

00:15:15.540 Okay.

00:15:16.480 Glenn, I appreciate you having me on.

00:15:17.980 It's a real honor.

00:15:19.660 Yeah.

00:15:19.880 Lester named Jeff forwarded me a video he took on his smartphone of a promo that had been running on Q13 here locally.

00:15:30.180 They actually generally do a very good job.

00:15:32.080 But the promo looked weird because the president looked very, very strange.

00:15:36.840 They were promoting their analysis of the president's Oval Office speech.

00:15:41.080 And Jeff noticed that the president looked distorted.

00:15:43.300 So he sent us a copy.

00:15:45.100 We gave it to our video team at KTTH.

00:15:48.360 And they ran through it, looked at it, said, yeah, this looks really doctored.

00:15:51.380 So we broke the story, contacted Q13 and their news director, Erica Hill, and said, look, we're going to be fair here and say this appears to be a doctored footage.

00:16:03.340 In all of one day, they did an investigation and came back and said, yeah, apparently this didn't say it was doctored, but they let the editor go.

00:16:12.520 And Glenn, you've seen the video.

00:16:14.540 It's pretty bizarre what they appear to have done to the president and and photoshopped him to look 15 shades extra orangey.

00:16:22.720 Also made him look like he was manically licking his lips, all kind of lizard style.

00:16:27.080 So it's a bizarre presentation.

00:16:28.440 So here's the here's a problem with this.

00:16:31.180 And look, I grew up in Seattle.

00:16:33.640 This is KCPQ, isn't it?

00:16:36.980 Yeah, the station.

00:16:38.520 When I was there, KCPQ was, you know, just like an also ran awful station.

00:16:44.140 It's not like that anymore.

00:16:45.600 It's a it's a decent it's a decent station.

00:16:48.820 And you say you talk to Erica Hill and she was the news director.

00:16:54.540 Why did it take someone who listens to you to capture it on their smartphone, call you, then you call the station?

00:17:06.560 Does no one at KCPQ watch their station?

00:17:11.060 Is no one at KCPQ seeing their promos is is is everyone at KCPQ blind?

00:17:19.440 Because this was the most obvious when he stops towards the end and he's licking his lips.

00:17:24.540 It is so clear that either the president is mentally unstable and should be removed from office or this is a deep fake.

00:17:36.860 Yeah, well, Glenn, I'll tell you, to be clear, Erica sent us a statement.

00:17:40.900 So I haven't spoken personally with her.

00:17:42.640 I don't want to commit any any fake news on your show.

00:17:46.340 So she sent a statement, a series of statements.

00:17:49.000 I had the same question.

00:17:50.020 I have a friend of mine who's a videographer and he said, look, a promo like this would go through layers of supervision.

00:17:56.120 Absolutely.

00:17:57.000 And so I'm trying to err on the side of not judging people.

00:18:02.720 I don't know.

00:18:03.640 It's egregious.

00:18:04.780 What you described, the promo is ridiculous.

00:18:07.380 In fact, it's it's to me, it frightened me to look at it.

00:18:10.960 I was praying.

00:18:12.220 I was praying this was doctored.

00:18:14.680 So we've done a follow up to ask, were there layers of supervision missed on this?

00:18:19.620 Maybe you were busy, et cetera.

00:18:21.080 But someone somewhere should have approved this.

00:18:23.340 And I want to be clear again, I use their stuff, Q13 on the air, because they are actually, I think, doing good work and trying hard.

00:18:31.500 And at least they fired the person the next day. 0.97

00:18:34.580 And I'm not all jumping up and down that someone's career ended.

00:18:37.660 I hope they'll take it as a learning experience that, you know, maybe go ask Nike for an endorsement.

00:18:42.180 Now you risked everything.

00:18:47.860 Yeah, here's the here's the part of the story that doesn't make sense to me, that it made it on air in the first place.

00:18:56.200 And and how long did it run?

00:18:58.280 At least it ran several times.

00:19:01.900 And your listener, a conservative, was the only one.

00:19:05.980 Did anyone call KCPQ and say, hey, what is this?

00:19:11.700 The president looks weird.

00:19:13.480 Nobody.

00:19:14.280 Now, I know it's Seattle, but nobody called.

00:19:18.700 Nobody watched it from KCPQ.

00:19:20.700 This receptionist wasn't sitting there in the the empty reception area and just going, I hate my job so much.

00:19:27.420 And looking up at the television because they had nothing else to do and notice that the president looked like a monkey.

00:19:33.740 Nobody noticed that.

00:19:34.940 The fact is, in Seattle, it's really difficult to pick up the phone when you're, you know, shooting a parent in one arm.

00:19:42.880 So you've got that challenge as well.

00:19:45.360 And I think probably in Seattle, there's a lot of people saying, thank God someone has unfiltered the president.

00:19:49.740 We knew he did this with the clips.

00:19:51.360 It's crazy.

00:19:52.380 I know you're not a stranger to the area.

00:19:55.160 And it's gotten it's gotten very, very bizarre out here.

00:19:58.080 You guys very, very bizarre.

00:19:59.780 It's amazing because you're kind of in the middle of what I think is a real milestone.

00:20:02.660 I mean, this technology is going to come and it's not going to come from some editor at Q13.

00:20:07.160 It's going to come from the Chinese government, right?

00:20:09.840 Manipulating footage and really changing people's opinions.

00:20:13.100 You're kind of like in the middle of the first time this has ever, as far as I know, ever happened on a news station like this.

00:20:18.280 Yeah, I think this is I've been talking about deep fakes for how many years now, three years and talking about how 2020 is going to be a really bad year for deep fakes.

00:20:32.580 And you're going to start to not believe your eyes.

00:20:34.700 And when I saw this story, I thought this is this is history.

00:20:38.680 This one, Todd, you're going to go in history books.

00:20:41.460 I really believe in the end, this story will end up in any important history about deep fakes, because this is the first time that I've seen a news station try to manipulate something and use deep fake technology to to skew an opinion or or an election.

00:21:03.840 Well, and I hope, Glenn, that I truly hope the editor takes this as a sign that maybe you've gone too far.

00:21:10.840 But on the other side of me, the cynical side of me thinks how many media companies are sending him now or him or her invitations to go to work there?

00:21:19.200 I'll tell you another local flavor to this, if I'm interested in both, is that the Seattle Times, who accidentally for a little while pretended they broke this story and then they were kind enough to point out that we actually did.

00:21:29.920 They went to great pains after they ran this to show a whole bunch of circumstances where conservatives have doctored pictures, et cetera.

00:21:38.400 And they kept adding to it. And I was screaming at them. Well, wait, this is very, very different.

00:21:43.100 This is a news station, not just manipulating this, but they could easily have put words in the president's mouth.

00:21:48.960 And I think that's what you guys are pointing to. Yes.

00:21:50.980 Technology that you could have the president say something he's not saying at all.

00:21:55.600 It's bad enough that, you know, the way the media twists things now.

00:21:59.380 But I absolutely agree that this this had better be a wake up call.

00:22:03.080 And I'm really pleased you guys point that out.

00:22:05.080 Todd, thank you so much and appreciate your good work.

00:22:09.000 Todd Herman from KTTH in Seattle, who broke the story of the deep fake from Q13, a news promo for a news station that made the president look like a monkey and using deep fake technology.

00:22:27.180 Horrible, horrible, horrible first step.

00:22:31.000 This is a milestone.

00:22:33.260 Mark my words by 2020, 2022, you will no longer be able to believe your eyes.

00:22:39.560 You're listening to Glenn Beck.

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00:23:41.820 It's free.

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00:23:47.220 One of the shows you're going to get access to is Pat Gregg.

00:23:49.260 He's coming up next here on The Blaze.

00:23:56.720 This is the Glenn Beck program.

00:23:58.580 Joining us now is Pat Gregg from Pat Gregg Unleashed.

00:24:02.920 Pat, big story of the week.

00:24:04.980 The thing you're focused on today is?

00:24:07.420 I'm focused on the wall.

00:24:10.040 I'm focused on the wall.

00:24:11.300 The immoral, ineffective, inefficient wall.

00:24:15.700 Walls don't work.

00:24:16.620 They're immoral and they don't work.

00:24:18.140 We all know that, right?

00:24:19.320 The walls on my house work pretty well.

00:24:21.620 Yeah.

00:24:22.160 Right.

00:24:22.500 Keep rain out.

00:24:23.720 Animals.

00:24:24.880 Yeah.

00:24:25.240 You know?

00:24:26.000 Yeah.

00:24:26.380 Intruders.

00:24:27.180 They're very immoral, though.

00:24:28.860 Very immoral.

00:24:30.440 Because I should just let whoever wants to walk in. 0.63

00:24:32.940 Walk in.

00:24:34.220 Come on in.

00:24:35.060 Exactly right.

00:24:35.960 Right?

00:24:36.140 Exactly right.

00:24:37.120 And be no respecter of persons.

00:24:40.260 Ellen DeGeneres is taking down the walls around her house. 0.99

00:24:44.060 Is she?

00:24:44.560 Yeah.

00:24:45.000 And the walls are under her roof.

00:24:47.760 Oh, my gosh.

00:24:48.520 Because they're very immoral.

00:24:50.620 And in fact, I think a lot of people in Hollywood are just trying to make that point.

00:24:54.420 They're going to take down all of the walls around their houses.

00:24:56.840 I think they probably will.

00:24:57.880 Yeah.

00:24:58.260 Yeah.

00:24:58.580 Yeah.

00:24:58.940 Sure.

00:24:59.220 Because they don't need them.

00:25:00.080 And they're immoral, of course.

00:25:01.960 We know how moral all of Hollywood is.

00:25:05.340 Don't we, though?

00:25:06.680 Don't we?

00:25:07.160 When they're not raping each other.

00:25:08.460 Yeah.

00:25:08.680 They're busy being moral.

00:25:10.180 So, at all times.

00:25:11.040 Once every three months, then?

00:25:12.540 Yes.

00:25:12.760 Okay.

00:25:13.100 Yes.

00:25:13.600 About that.

00:25:14.800 But I got a list of things that the Democrats have funded recently that are just a tad more expensive than the wall.

00:25:23.320 Well, they're probably a tad more moral.

00:25:25.240 Way more moral.

00:25:26.100 Okay.

00:25:26.520 Things like Rural Utility Service.

00:25:29.080 This is a program that was put into place to bring electricity to rural communities.

00:25:34.480 And I just, I can't wait for the day when communities out in the country can finally get electricity.

00:25:41.380 It's never going to happen.

00:25:42.180 I don't know if that will ever happen.

00:25:43.480 It's never going to happen.

00:25:44.460 No.

00:25:44.640 Will it ever happen?

00:25:46.880 You know, they don't have, they still, they still don't have high speed.

00:25:50.140 They still have dial-up.

00:25:51.220 Right.

00:25:51.720 Right.

00:25:52.060 And I don't know how they're running that dial-up without electricity, but.

00:25:55.520 Soon.

00:25:56.640 Right.

00:25:57.180 Soon.

00:25:57.760 Yeah.

00:25:58.080 Of course, this happened, what, 80, 90 years ago.

00:26:00.220 And now it actually is being used to bring them high speed internet.

00:26:03.580 And that is kind of what they're using the $8.2 billion a year for.

00:26:09.680 $8.2 billion a year.

00:26:12.280 So can I ask you, can I ask you, if we already have $8 billion a year of funding for high

00:26:18.660 speed dial-up, how come we're still hearing about people who don't have high speed dial-up

00:26:23.820 as a, as a political, that's a pretty good question.

00:26:26.900 It's a $1 trillion problem, Glenn.

00:26:28.780 That's why.

00:26:29.520 Okay.

00:26:29.860 Okay.

00:26:30.120 Okay.

00:26:30.700 All right.

00:26:31.380 Okay.

00:26:32.020 All right.

00:26:32.240 Each home in a rural community that gets internet costs the U.S. government $1.3 trillion.

00:26:37.460 I did not know that.

00:26:39.060 It's true.

00:26:39.300 Wow.

00:26:39.640 Okay.

00:26:39.900 We spend $6 billion a year subsidizing sugar and high fructose corn syrup, which is way

00:26:46.040 more important than a wall.

00:26:47.080 Can I tell you something?

00:26:47.920 High fructose corn syrup is the worst.

00:26:51.660 I, of course, disagree with that.

00:26:53.020 But beyond that, I will say that there is a legitimate, this is a thing that does not

00:27:00.640 get focused.

00:27:01.320 Tariffs are bad.

00:27:02.120 And we've talked about tariffs being bad for a long time.

00:27:04.720 Protectionism also comes in the form of subsidies like this.

00:27:07.580 Yes.

00:27:07.800 Where they're just propping up the sugar industry. 0.87

00:27:10.160 All your food could cost less, except for the fact that your tax dollars are going to

00:27:14.380 subsidize U.S. sugar companies and farms when we could be getting this from all over

00:27:19.600 the world for a lot less.

00:27:20.500 There's no need for it.

00:27:20.880 There's just no need for it.

00:27:21.600 There was.

00:27:22.100 You could argue it at one point.

00:27:23.300 It makes no sense now.

00:27:24.540 How about $10 billion a year to the U.N.?

00:27:27.140 Is that a program you're excited about?

00:27:29.020 No.

00:27:29.580 Well, it's very moral.

00:27:30.780 Very moral.

00:27:31.620 They only rape people that are in dire need. 0.72

00:27:35.280 And dire need of.

00:27:37.800 Of something.

00:27:38.500 Not rape. 0.99

00:27:39.060 You're saying dire need of something else.

00:27:40.720 No, not rape. 0.99

00:27:41.100 Of something else.

00:27:41.440 Food.

00:27:41.600 They're bringing that aid.

00:27:42.260 Food, for instance.

00:27:43.120 What?

00:27:44.000 They're just asking for a little rape here and there. 1.00

00:27:46.540 That's true.

00:27:47.020 They're bringing you well tents with the U.N.

00:27:51.120 With the U.N.

00:27:52.160 markings on it.

00:27:52.840 And you know what the great thing about those tents is?

00:27:54.360 No walls.

00:27:54.940 No walls.

00:27:55.260 No walls.

00:27:56.160 No walls.

00:27:56.260 And the U.N.

00:27:57.440 as well.

00:27:58.020 No walls.

00:27:58.660 No.

00:27:59.100 At all.

00:27:59.560 Well, except.

00:28:00.180 Well.

00:28:00.560 There are walls there.

00:28:00.980 Except for the existing walls.

00:28:02.740 Except for those.

00:28:04.180 They're still subsidizing Amtrak to the tune of $9.7 billion.

00:28:08.340 Well, Joe Biden needs to get to Delaware.

00:28:10.720 Foreign aid.

00:28:11.520 You know, we give $50 billion in foreign aid every single year.

00:28:15.680 $50 billion in waste, fraud, and abuse.

00:28:20.020 According to the GAO, in payment errors, payment errors, we spend $137 billion a year.

00:28:28.500 Excuse me?

00:28:29.260 In payment errors.

00:28:32.920 $137 billion a year.

00:28:35.140 May I ask?

00:28:36.280 This is where.

00:28:37.340 May I ask?

00:28:38.680 Man.

00:28:39.180 How come none of us are ever on the receiving end of a payment error?

00:28:45.540 I don't know.

00:28:47.040 I've never had a friend, a colleague, somebody in the neighborhood, somebody in town that

00:28:52.880 was like, whoa.

00:28:53.860 Oops.

00:28:54.320 I just gave you $6 billion.

00:28:56.280 Yeah.

00:28:56.800 Oh, man.

00:28:58.640 Darn it.

00:28:59.340 This is what every once in a while I like to think about this.

00:29:01.340 Because you think about taxes, and we argue about the rates, and the cuts are great.

00:29:05.460 Yeah.

00:29:05.620 But if you think about it this way, every tax dollar you will ever put in, in your entire

00:29:12.280 life, plus every person you will ever walk by in their entire life, and all those, their

00:29:19.980 tax dollars of their entire lives, all of that combined, probably won't be one 137th

00:29:27.440 of one year of payments made in error by this government.

00:29:32.140 That is how.

00:29:33.560 It's incredible.

00:29:34.120 You are wasting all of your life working to give money to a government that will take

00:29:40.400 it and chip away at their missed payments feature for like a day.

00:29:44.900 So here's what's amazing.

00:29:46.540 Credit card fraud.

00:29:47.820 Credit card fraud used to be, used to be lucky, lucky that they could catch 20% of credit card

00:29:56.680 fraud.

00:29:57.520 Okay.

00:29:58.200 Then they introduced crude AI.

00:30:01.900 They got it up to about 50% of credit card fraud.

00:30:06.980 Do you know now with deep learning, credit card fraud is caught between 95 and 99.9% of the

00:30:17.880 time.

00:30:18.680 Because.

00:30:19.780 Wow.

00:30:20.060 It can predict you now so well that there was a guy who was in, there was a guy who

00:30:26.760 had his credit card stolen.

00:30:28.360 He did not know that his credit card was stolen.

00:30:31.340 And somebody went to Vegas.

00:30:33.800 Well, he went to Vegas like 20 years ago.

00:30:36.460 He's never been back.

00:30:37.940 He doesn't have any kind of reckless spending kind of stuff.

00:30:41.220 He doesn't, he's not a gambler.

00:30:43.380 And the AI picked up.

00:30:46.540 Somebody went to a casino.

00:30:48.340 The first charge at a casino.

00:30:52.340 It was denied.

00:30:53.820 The first charge.

00:30:56.020 Wow.

00:30:56.720 It does seem like they've gone a little too far on that.

00:30:58.780 I think they're catching over 100% of fraud.

00:31:00.940 I should say, it was not immediate, you know, they call.

00:31:04.540 Right.

00:31:05.260 Call to see, to make sure it's you.

00:31:07.500 Which I don't mind.

00:31:08.360 Call to make sure it's you.

00:31:09.640 I don't mind that.

00:31:10.400 Yeah.

00:31:10.500 My credit card texts me.

00:31:11.960 Yeah.

00:31:12.300 And like this morning, I got a text from my credit card informing me that I may have

00:31:16.680 a fraudulent purchase.

00:31:17.880 My wife has purchased something at the place she purchases something like 10 times a week. 1.00

00:31:22.340 And it's like, well, I'm kind of going to assume, considering we have 100,000 charges

00:31:27.400 on the card from this particular place.

00:31:29.500 Yeah.

00:31:29.660 That's kind of weird.

00:31:30.240 That may be, and I think a lot of times they overreach, right?

00:31:33.080 Like anytime they pick up anything, they come after you.

00:31:36.020 But it is improved dramatically.

00:31:37.720 And now it's to the point where a text, you wrote back, yeah, we did that.

00:31:40.360 And then it's all set.

00:31:41.800 I mean, it is improved massively.

00:31:44.400 We got to, we got about halfway through the Walmart purchases before Amex just text and

00:31:53.540 said, hey, is this you?

00:31:58.020 Yeah.

00:31:58.340 That's probably a good question after halfway through.

00:32:00.480 Yeah, about halfway through.

00:32:01.720 But anyway, what I was, what I'm, what I'm pointing out is maybe we should get some AI

00:32:06.220 technology for the federal government.

00:32:08.760 That'd be nice.

00:32:09.000 They're so busy monitoring us.

00:32:11.440 How about they use some of that money to monitor them to find out where this fraud is going,

00:32:19.180 where these rounding errors are happening.

00:32:21.800 And how about some of the nickel and dime things?

00:32:24.220 I mean, you know, to the federal government, these are nickel and dime things.

00:32:26.820 But you could eliminate these things and build a wall instead.

00:32:29.480 The Fed spent $613,000 to boost intimacy and trust of transgender women and their male partners.

00:32:36.940 Is that necessary?

00:32:38.220 Does the federal government belong in that business?

00:32:40.420 I just don't like the federal government identifying one of the partners as male.

00:32:43.620 How do they know how they identify?

00:32:45.540 They don't know.

00:32:45.920 In the federal government, if you're identifying males, you better be throwing them in jail because

00:32:50.380 you're a hate monger. 0.68

00:32:51.720 If you're trying to help males, male privilege.

00:32:53.480 I love this study at Northwestern because they received more than $3 million from the National

00:32:59.020 Institute of Health to watch hamster fights.

00:33:03.080 Would they watch it for free?

00:33:05.080 Wait a minute.

00:33:05.700 I didn't watch hamster fights.

00:33:06.600 I'd pay for you.

00:33:07.720 Right.

00:33:08.300 When did hamster fights become a thing?

00:33:11.060 I want to watch that.

00:33:11.360 And these are great fights because they'll put one hamster in without steroids. 0.99

00:33:14.460 Then they give steroids to the other hamster and see if the hamster with roids is more

00:33:19.760 aggressive than the non-roided hamster.

00:33:22.480 And what happened?

00:33:23.660 Don't leave us hanging.

00:33:24.920 Right.

00:33:25.320 It doesn't say.

00:33:26.580 I can tell you.

00:33:27.860 Are they in a ring?

00:33:29.140 Yes.

00:33:29.580 They have towels and they go to their corners.

00:33:31.640 What happens in a hamster fight?

00:33:33.320 This is a Rocky Creed sequel to make it.

00:33:35.200 This is great.

00:33:38.160 I didn't think you guys were going to be in favor of that.

00:33:40.600 So we don't eliminate that.

00:33:42.580 No.

00:33:42.960 No.

00:33:43.020 We don't eliminate.

00:33:43.920 Cut me, Ham. 0.99

00:33:44.960 Cut me.

00:33:45.880 We can leave a couple feet of border without a wall for that.

00:33:49.440 Yes.

00:33:49.740 Are you also in favor of Japanese quail and their sexual behavior on cocaine? 0.98

00:33:57.380 I'm kind of uninterested at least.

00:34:01.920 Maybe $518,000 isn't enough.

00:34:04.320 Wait a minute.

00:34:05.060 Wait a minute.

00:34:05.520 Wait a minute.

00:34:05.900 Wait a minute.

00:34:06.300 Wait a minute.

00:34:07.120 Do we have a problem with quail on cocaine?

00:34:10.340 Apparently there's been one.

00:34:11.560 Yes.

00:34:11.860 And we don't know how well they perform sexually when they're on coke. 1.00

00:34:15.600 And so if a Japanese quail is coked up, you want to make sure it can still perform.

00:34:21.740 And that's what we're doing with the federal government.

00:34:23.200 Hold on.

00:34:24.100 I want to look into that one.

00:34:26.520 I want to know the Japanese quail.

00:34:30.780 I think you guys like these expenditures better than the wall.

00:34:32.680 Yeah.

00:34:33.120 It's entertaining at least.

00:34:34.880 I kind of want to know.

00:34:37.280 I want to see, do they teach the quail to snort the cocaine?

00:34:41.880 Does it snort it through the mouth part of the beak or the little hole on the top of the beak?

00:34:46.360 These are great questions.

00:34:47.280 I think this is like the ultimate achievement in the Japanese quail community.

00:34:52.840 Like this is their Harvard.

00:34:53.640 Like if they can get into the cocaine for sex study, this is the peak of all quail's lives.

00:34:59.020 This is the show.

00:34:59.980 Right.

00:35:00.260 This is the show for quail, man.

00:35:04.800 How much money did it take to create little teeny quail currency that they could roll up?

00:35:14.720 Thanks, Pat.

00:35:16.220 Pat Gray.

00:35:17.180 Pat Gray Unleashed.

00:35:18.020 Listen to the podcast.

00:35:18.960 Download it at your convenience wherever you listen to podcasts.

00:35:22.680 Or go to Glenn Beck.

00:35:23.940 I'm sorry.

00:35:24.360 Go to the BlazeTV.com.

00:35:27.020 BlazeTV.com slash Beck and subscribe.

00:35:29.980 Use the promo code Beck.

00:35:31.240 Get $10 off.

00:35:32.460 Right.

00:35:32.800 Do that now.

00:35:33.560 And soon.

00:35:35.780 Hamster fights.

00:35:37.040 Coming to Blaze TV.

00:35:38.860 All right.

00:35:39.100 Our response to this half hour is LifeLock.

00:35:42.160 LifeLock.

00:35:42.780 Now, we were just talking about credit card fraud.

00:35:44.860 Yeah, yeah.

00:35:46.040 And what AI can do.

00:35:47.440 I'm reading this fascinating book, Stu, about deep learning.

00:35:50.900 And AI.

00:35:53.580 And I have to just ask you a question.

00:35:55.920 Remind me after the break to ask you a question about AI.

00:35:59.100 This is a mind-blowing thing for me.

00:36:01.880 And it's so obvious.

00:36:03.040 We all know it.

00:36:04.340 But it's really bizarre when you actually think about it.

00:36:07.980 So they're looking now at AI that can predict where you're going to be and if that's you spending, et cetera, et cetera.

00:36:16.780 With all of that deep learning that is happening right now, you still have thieves out there who are inventing new ways to steal your identity.

00:36:26.760 Your identity is gone.

00:36:29.060 Your digits are gone.

00:36:30.500 Your bank account.

00:36:32.040 They can now, with one piece of information, they can now connect you to information that is also available on you on the dark web.

00:36:41.620 Many different ways.

00:36:43.120 Because there is really only one way that you can keep yourself safe that I know of.

00:36:48.380 Well, there's two.

00:36:49.220 You can completely go offline.

00:36:52.300 Or you can try LifeLock.

00:36:54.640 LifeLock detects a wide range of identity threats like your social security number or for sale on the dark web.

00:37:00.400 And if they detect your information being used at all, they send you an alert.

00:37:04.220 If there's a problem, a U.S.-based restoration specialist is going to work to fix it.

00:37:09.080 Now, nobody can prevent all identity theft or monitor all transactions or, you know, stop all cybercrime.

00:37:14.360 But no one does it like LifeLock.com.

00:37:18.140 It's basically LifeLock or Unabomber-style shack.

00:37:20.940 That's what your two choices are.

00:37:22.400 I'm going to go with LifeLock.

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00:37:29.720 LifeLock.com.

00:37:30.800 That's LifeLock.com.

00:37:32.580 You know, one of the things that happened this week that I thoroughly enjoyed was Elizabeth Warren coming out and announcing that she's probably going to be running for president. 0.98

00:37:51.180 She just wanted to have a little chat in her kitchen there.

00:37:53.920 I want to play just a little bit of this.

00:37:56.080 I love this.

00:37:57.400 Hold on a sec.

00:37:58.220 I'm going to get me a beer.

00:38:01.260 I'm going to get me a beer.

00:38:03.880 A beer.

00:38:04.820 I've practiced this in a mirror 25 times.

00:38:08.880 And I think I've pulled it off.

00:38:09.320 Oh, hey.

00:38:09.740 My husband, Bruce, is not in here.

00:38:12.440 Bruce, you want a beer?

00:38:13.940 I'll pass on a beer for now.

00:38:15.040 No, he's over by the refrigerator.

00:38:16.620 Here he comes.

00:38:17.180 Here he comes.

00:38:17.360 So, this is my TV.

00:38:18.040 I'll pass on a beer for now.

00:38:20.880 And I'll praise you.

00:38:22.160 I love you.

00:38:22.880 I love you, too.

00:38:24.040 Oh, my gosh.

00:38:25.200 That is so horrible.

00:38:27.040 Please, please, Democrats.

00:38:28.720 Please, Elizabeth Warren for president.

00:38:33.000 We're so afraid of her.

00:38:34.720 Elizabeth Warren is custom made for Donald Trump.

00:38:38.660 Oh, my gosh.

00:38:39.420 She is the perfect candidate for Donald Trump to run against.

00:38:42.940 She is Hillary Clinton with Clinton ninja powers. 0.75

00:38:46.720 I mean, she is so awkward.

00:38:48.820 That's one of the reasons why Hillary Clinton can't come. 1.00

00:38:51.940 Because Hillary Clinton would have said, you know, I'm going to get me a beer. 0.91

00:38:56.760 Yeah.

00:38:57.040 Oh, Bill.

00:38:58.280 There you are.

00:38:59.140 Yeah.

00:38:59.540 It's so, she's cannot, she's incapable of being natural.

00:39:03.180 Oh.

00:39:03.620 She's incapable.

00:39:04.400 And Hillary was, too. 0.97

00:39:05.740 And that's the type of candidate that Donald Trump can take out easily.

00:39:09.540 Because he, he comes after you, he, he, he puts pressure on you.

00:39:14.540 And if you sit there and try to focus test in advance your, your line response, you get

00:39:22.500 what Hillary did was, it was like, oh, yeah, hey, by the way, I want to Pokemon go to the

00:39:26.480 polls.

00:39:27.000 Like, remember that whole thing?

00:39:29.060 And it was like, that's what you get at Hillary Clinton. 1.00

00:39:32.220 Let me just, I don't think we have time to play all of it.

00:39:34.900 Let me play a little bit of Allie Stuckey here. 0.99

00:39:36.560 Uh, she, she, uh, dressed up as Elizabeth Warren and, and here she is from the blaze.

00:39:42.940 Hello, friends.

00:39:43.880 It's, suck, suck, y'all. 0.98

00:39:49.380 Suck, fam. 1.00

00:39:51.180 It's, it's Liz.

00:39:52.640 I'm just sitting here, relaxing in my, chilling, chilling, chilling in my, in my, in my, in my

00:40:02.040 brick loft in downtown Boston that I, I can hardly afford it because it's too long day.

00:40:11.260 Oh, that is great.

00:40:12.320 You should see this.

00:40:13.100 This is, uh, Allie Stuckey.

00:40:14.640 You'll find her at blaze tv.com.

00:40:17.760 Uh, a very funny, uh, parody of Elizabeth Warren, who I just going to get me, um, a beer. 1.00

00:40:24.040 You'll find that on blaze tv.

00:40:27.040 Bill O'Reilly is next.

00:40:28.840 Also, we have a new poll on Democrats that show just how extreme they are becoming.

00:40:35.640 It's all coming up with Bill O'Reilly after the top of the hour.

00:40:41.100 Let me tell you a little bit about real estate agents.

00:40:43.160 I trust.com on a share, a letter that came in, uh, real estate agents.

00:40:47.720 I trust this is from Scott in Tennessee.

00:40:49.380 He says, Glenn, I cannot speak highly enough about the service that I received from the

00:40:53.620 very first email with real estate agents.

00:40:55.560 I trust.com.

00:40:56.500 I was contacted right away by Jim, a realtor from your network.

00:41:00.560 Um, I had a pretty big mess on my hands.

00:41:02.660 I received what amounted to free budgeting and investment advice during our meetings.

00:41:07.120 He then proceeded to take a house that I was stuck with and owed way too much money on

00:41:11.980 and sell it in less than a week for much more than I thought I could get.

00:41:16.260 He did such a fantastic job that I referred him to everybody.

00:41:19.160 I know, including my mom, her house had been listed by multiple agents for several years.

00:41:25.420 Jim sold her house as well to sum up.

00:41:29.500 Thank you.

00:41:31.040 Thank you.

00:41:32.220 That's Scott in Tennessee.

00:41:34.100 Let real estate agents.

00:41:36.000 I trust.com help you sell your house fast on time for the most amount of money without

00:41:41.980 any hassles.

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00:41:49.160 The fusion of entertainment and enlightenment.

00:41:52.740 This is the Glenn Beck program.

00:41:55.080 Hello, America.

00:41:56.840 It is Friday and Bill O'Reilly talks about the big stories of the week and gives us his

00:42:06.460 no spin opinion in one minute.

00:42:13.140 This is the Glenn Beck program.

00:42:15.340 We're only stopping twice in a half hour just for a minute each time to tell you about our

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00:43:50.440 For cable news, Donald Trump is no longer the gift that keeps on giving.

00:43:56.620 At first he was, but now big change is in the air and it's all because of this president,

00:44:03.040 Bill O'Reilly in the cable news war.

00:44:05.300 Hello, Bill.

00:44:05.780 How are you?

00:44:07.080 I'm the same Beck, but happy new year.

00:44:09.320 And I have, I have a question before we get underway.

00:44:12.220 Yes.

00:44:12.600 So the Glenn Beck program is a fusion between enlightenment and entertainment.

00:44:18.260 Yes.

00:44:18.820 Yes.

00:44:19.400 Okay.

00:44:19.660 Where am I in that, in that fusion?

00:44:21.920 You are unfortunately not involved in any of that.

00:44:26.180 You're kind of the anomaly.

00:44:28.200 Yeah.

00:44:28.400 At first I thought I was in a restaurant.

00:44:30.600 Some fusion.

00:44:31.540 I don't know.

00:44:32.780 Whatever that is.

00:44:33.820 All right.

00:44:34.040 So tell me about the cable news war and how it's changing.

00:44:36.960 All right.

00:44:37.500 Call him on Bill O'Reilly.com.

00:44:39.640 Open everybody to read it.

00:44:40.980 Uh, you are seeing not this week because this week is, uh, is with the president's address

00:44:48.600 on the border and all that is, um, a different situation, but over the past couple of months,

00:44:53.940 a decline in viewership on Fox news and, uh, MSNBC now, uh, some nights winning in prime

00:45:05.200 time, which never, ever happened.

00:45:07.340 And, uh, the audience for cable news on a consistent basis dropping.

00:45:15.960 And it's because it's all Trump all the time.

00:45:18.580 Um, and, um, you know, if you go and you want other news, you're not going to get it.

00:45:24.960 And it's not really, you're not getting the news anyway.

00:45:27.700 You're either getting, we hate Trump or we love Trump.

00:45:31.940 Business decisions were made.

00:45:33.760 Um, in the beginning they paid off.

00:45:35.760 And now I believe once Donald Trump leaves the stage, the cable news is in serious, serious

00:45:42.740 trouble.

00:45:43.380 I think they're in serious trouble, perhaps even before he leaves the stage.

00:45:46.940 I, I, I just don't.

00:45:48.220 But you're always going to get that hit.

00:45:49.940 See what MSNBC has done is they've created a reality broadcast network.

00:45:55.300 And the reality theme is when will we get president Trump?

00:46:02.080 So every night that's where they're going.

00:46:04.780 When, when are we going to get up?

00:46:06.540 Here's what happened today.

00:46:08.020 And, and we're getting closer and this could happen.

00:46:12.280 CNN does that on a lesser extent.

00:46:14.860 CNN is number three because they can't hate as much as MSNBC.

00:46:19.180 They're trying, they're, they're sending their personnel to loathing classes, but they're

00:46:25.000 just not at the hate level at MSNBC is.

00:46:28.920 So let me ask you, let me ask you a question here, Bill, um, and an honest question that

00:46:34.160 you probably, no other host in America would ask this question.

00:46:38.800 What's the difference between what MSNBC is doing now and what, let's say I was doing

00:46:44.100 when I was at Fox?

00:46:44.960 Well, I never saw you as a hater.

00:46:49.720 I mean, you weren't gleefully trying to destroy anyone.

00:46:55.100 I watched your show and you were on my show.

00:46:57.740 You appeared on the factor and I don't remember you, you sitting there rubbing your hands together

00:47:03.100 going, Oh, no, we, we were, we, I did actively hate Woodrow Wilson, but he's been dead for

00:47:10.140 a very long time.

00:47:11.120 Yeah.

00:47:11.300 It wasn't cable in back.

00:47:12.560 I just want to remind you.

00:47:13.680 Right.

00:47:14.000 I do, you know, right.

00:47:15.280 I don't know where you were actually hating.

00:47:18.480 I know.

00:47:18.840 I know.

00:47:19.280 Well, I was, I was, I was hating a few years to Roosevelt also loathed him.

00:47:24.200 So you have that in common.

00:47:25.480 Yes.

00:47:25.900 I, yeah.

00:47:27.320 And I don't really like Teddy Roosevelt either, but that's a different story.

00:47:30.160 So tell me about, um, before we leave cable news, is there anything just really good and

00:47:35.420 entertaining you can say about Jim Acosta and his border trip?

00:47:39.200 Did you see this?

00:47:40.320 Acosta epitomizes what's happened.

00:47:42.160 Um, so he's CNN's white house correspondent.

00:47:45.240 So it used to be on the news agencies that you would get news from the white house correspondent,

00:47:52.240 right?

00:47:52.680 It's what happened today and it is what they're doing.

00:47:55.900 And no, no, now Jim Acosta, he's basically guiding you through hate Trump land.

00:48:05.300 And he's not really interested in reporting facts or seeking the truth about anything.

00:48:11.500 He's interested in demeaning Donald Trump.

00:48:15.600 So his whole job is really a facade.

00:48:19.820 Why don't they just say, here's Jim Acosta, our hate Trump correspondent reporting from wherever.

00:48:27.180 That would be honest.

00:48:28.380 Could, could, could, could I ask you something, you know, the white house correspondents used

00:48:32.100 to be like, like Jake Tapper, who I think is a, is a, is a good journalist.

00:48:38.620 It's, it's like they've replaced Jake Tapper in the white house with Rick Sanchez, who is

00:48:44.500 just this awful clown of a reporter.

00:48:47.380 Well, I disagree with you on, uh, Mr. Tapper.

00:48:51.200 I have no respect for him whatsoever.

00:48:54.040 Really?

00:48:54.380 Um, I think that he, um, is much better at presenting himself as a, you know, somebody

00:49:01.820 who does seek the truth, but he certainly does not.

00:49:04.160 In my opinion, my humble opinion.

00:49:06.760 Um, if you look back at the white house correspondents, it is not a crew.

00:49:14.940 Generally speaking, that you would admire.

00:49:16.900 I mean, Dan Rather, Sam Donaldson, I mean, these people had agendas all day long, but

00:49:22.760 they were forced by their masters, their corporate masters, to hide it, to hide it.

00:49:29.960 Now, I work with both Rather and Donaldson.

00:49:32.400 I saw it with my eyes.

00:49:34.960 They loathed, Donaldson loathed Reagan, uh, uh, rather loathed Nixon, hated them, but they

00:49:43.900 couldn't come right out and say it as Acosta does and some of the others.

00:49:50.160 Um, so that was a difference.

00:49:52.760 Where do you stand, um, on the president, uh, this week and his, his address to the nation

00:49:59.940 on the border?

00:50:00.520 What did you think people missed?

00:50:02.440 Um, I think Trump, Trump won that Tuesday night, uh, wrestling match because Pelosi and

00:50:12.760 Schumer came across as, let's say, doddering.

00:50:18.000 I think that might be the word, doddering, D-O-D-D-E-R-I-N-G. 1.00

00:50:22.960 They, well, he's mean, uh, he's mean and the government shut down and he's so mean.

00:50:30.420 And that's what it came across.

00:50:32.420 That was their presentation.

00:50:33.780 It wasn't like we have a better idea to secure the nation's border.

00:50:37.140 We really understand there's a problem down there and want to fix it.

00:50:40.540 No, no, no.

00:50:41.440 That's not what they did.

00:50:42.800 So Trump got eight minutes to put his view across to many Americans who were stunned

00:50:49.840 that they actually had to watch some kind of news program.

00:50:54.420 I mean, they were looking for the family guy and all of a sudden here's the non-family

00:50:59.080 guy, Donald Trump, because all the networks are forced to take it.

00:51:04.040 Now, I understand there were a lot of broken dishes and angst, but they, a lot of people

00:51:08.640 who never consume news were forced to watch this.

00:51:11.820 And Trump got his message across using facts in eight minutes.

00:51:16.300 So I thought he did himself some good.

00:51:19.120 What do you think about his, the possibility of him using the emergency, um, an emergency

00:51:26.180 order to say we've.

00:51:28.500 It's not a good thing because it diverts the story away from the seriousness of the

00:51:34.980 problems at the Southern border and makes it all about Donald Trump.

00:51:38.800 So that's what the left wants.

00:51:40.440 The left wants him.

00:51:41.940 They're goading him.

00:51:42.920 They're hoping that he does say national emergency.

00:51:46.040 I'm taking money from this fund and I'm building a wall and blank you.

00:51:51.000 That's what Pelosi, Schumer, CNN, MSNBC want.

00:51:54.820 All right.

00:51:55.340 And then they go, oh, this is a dictator.

00:51:57.820 Look at him.

00:51:58.680 Look at him.

00:52:00.460 Okay.

00:52:01.040 He's a baby.

00:52:02.100 He's throwing a tantrum.

00:52:02.860 Um, and then that becomes the story for a week.

00:52:07.280 And then the real seriousness of tons of narcotics coming here, uh, millions of people coming

00:52:13.480 here and we don't know who they are.

00:52:14.960 That goes by the wayside, which is what the left wants.

00:52:18.440 They, they don't want talk about drugs and people smuggling and all that.

00:52:23.100 They never mentioned the amnesty international study.

00:52:27.020 That says 60% of migrant women on their way to the border are assaulted, raped, whatever.

00:52:33.120 They, they never even report it.

00:52:35.460 That's not a crisis.

00:52:37.080 A hundred thousand people dying of drugs every year in this country.

00:52:40.100 It's not a crisis.

00:52:42.220 The Mexican drug cartels running that nation, literally running it is not a crisis.

00:52:49.460 You're not going to get that reportage.

00:52:51.440 You're never going to get it.

00:52:53.140 It's all that job.

00:52:54.280 Look at him.

00:52:54.720 He's Hitler again. 0.95

00:52:55.700 So how, so how does this end?

00:52:58.480 Um, who, who do you think is going to have to break first?

00:53:02.340 Uh, the president or Pelosi and Schumer?

00:53:06.520 Well, Trump's not going to break.

00:53:09.580 That's not going to, cause that's, if he did, that's the end of his administration.

00:53:13.480 He'll never be reelected.

00:53:15.340 So Trump will either string it out or declare a national emergency.

00:53:22.320 Those are all his only two options.

00:53:24.960 Could we, could we?

00:53:25.700 I think Schumer, if the polling next week comes in, as I think it might, and said most

00:53:30.860 people want this border solved, they might have to go back and compromise a little bit

00:53:36.420 and then put a happy face on the, where are the adults in the room, where are the ones

00:53:41.340 where, you know, and where we, uh, so we'll compromise, get that, uh, government open

00:53:47.900 again.

00:53:48.400 So I think that the odds of he had to bet would be that the Democrats would probably, as you

00:53:54.860 put it, break first, because Trump simply cannot if he expects to be reelected.

00:54:00.340 So I think there is a different, uh, there's a different outcome if he needs to break first.

00:54:07.320 And we talked about it, uh, last night, Stu and I were talking about what Ted Cruz is doing.

00:54:12.760 Um, and I think it's really important and could be a very uniting thing that could compel the,

00:54:21.080 the president, not only into a 2020 win, but could actually be very uniting.

00:54:26.360 And we'll go into that with Bill O'Reilly when we come back sponsor this half hour in

00:54:32.820 60 seconds.

00:54:33.640 And then back to Bill O'Reilly is LifeLock LifeLock, according to experts, uh, some of

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00:55:54.180 Bill O'Reilly, Beck, 10 seconds.

00:55:55.840 Station on you.

00:56:08.740 This is the Glenn Beck Program with Bill O'Reilly.

00:56:11.280 Bill, tell me what you think about this potential idea.

00:56:13.880 I think it would be great for the State of the Union.

00:56:15.480 We're coming out of this whole border thing.

00:56:17.220 Let's say it gets solved or it doesn't.

00:56:19.080 Either way, we've learned a big lesson here yet again that Congress is completely terrible

00:56:22.980 and the people there just don't do their jobs.

00:56:26.000 So, we're going to have a bold new proposal that I think can actually help unite the country

00:56:30.760 and is incredibly popular.

00:56:32.860 Ted Cruz just announced a new constitutional amendment for term limits.

00:56:39.220 This has been around for a long time.

00:56:41.220 It is, this is the polling on it.

00:56:43.360 76% of Democrats agree with term limits, 83% of independents, and 89% of Republicans.

00:56:50.420 It's actually more popular among Republicans than the wall is.

00:56:55.000 And Donald Trump has said he ran on the fact that he would do it.

00:56:58.280 He supported it as recently as just a few months ago.

00:57:01.120 The last time there was a push for it, Mick Mulvaney, who's now chief of staff, was the

00:57:05.100 guy behind it.

00:57:06.360 This is something that I think could take it out of this sort of, you know, partisan divide,

00:57:10.360 give us something that we could actually do.

00:57:12.000 And I would love to see these Democratic Senate candidates that are going to be running for

00:57:15.620 president try to tell the American people that they need to be there for the next 60 years

00:57:19.740 instead of having limited terms.

00:57:21.900 What do you think?

00:57:23.240 Well, nobody would do that, though.

00:57:24.860 Everybody's going to say, oh, we're for term limits.

00:57:27.240 But then when it comes down to voting for it, many of them won't.

00:57:32.280 I don't see how that is going to immediately impact the hatred of the two parties right now.

00:57:38.480 You know, when you have a president who has alienated the opposition to the extent that

00:57:48.840 Trump has, the opposition is basically, we're going to get him out at all costs.

00:57:56.460 So that's what we have.

00:57:58.000 And so it's like there isn't anything we're not going to do to get him out.

00:58:03.040 And that includes we're not going to be reasonable.

00:58:05.900 We're not going to compromise.

00:58:07.520 We're not going to do anything that he wants.

00:58:10.840 But that is and but that is why we are.

00:58:13.540 But I think that's why with independence, this term limit thing, we could be perfect timing

00:58:20.040 because let's say he didn't get to your your hang on, hang on a little.

00:58:24.100 It's not cause and effect because it.

00:58:27.600 Yes, it is.

00:58:28.700 These guys were going to be two year two term limits for senators in 12 years and probably

00:58:34.980 five or six for the House.

00:58:37.220 But I guess my argument is they're still going to serve a long period of time.

00:58:40.740 Yeah, I think I think I believe it's a good long term thing that we need a separate from

00:58:45.220 any political term, but it's not going to but it's also the nation now short term.

00:58:49.420 It's good politics.

00:58:50.620 I think short term.

00:58:51.400 It's good politics.

00:58:52.020 It's something that everybody wants to be on the top of the radar screen.

00:58:55.960 But Trump can put anything on the top of the radar screen.

00:58:58.040 He just has to say it a bunch of times and everyone will start, you know, attacking him and

00:59:01.880 going after him.

00:59:02.660 And I think that's a good thing.

00:59:03.980 I mean, let them come after him for something that 80 percent of the people actually want

00:59:07.800 play offense.

00:59:08.580 I don't think anybody will.

00:59:09.980 I think they'll all mouth platitudes that, yeah, then let's then let's vote it in.

00:59:15.980 And then when you didn't when you voted against it, let's make sure that Donald Trump can talk

00:59:20.820 to every single senator that is running and every single congressman that is running and

00:59:25.340 say, oh, yeah, but where did you vote on that?

00:59:27.940 Where did you vote on that?

00:59:28.800 Where did your party stand on that?

00:59:30.480 You said you were for it, but you voted as a block against it.

00:59:34.720 That's that's exactly what the American people hate is people say one thing and do the other.

00:59:41.700 Yeah, I don't know if that legislation would ever even get in because Mitch McConnell would 0.98

00:59:46.800 have to get it in.

00:59:47.720 And he's Mr.

00:59:49.080 Non term limits, isn't he?

00:59:50.780 Yes, he is.

00:59:51.560 He would be he would be a problem.

00:59:52.960 He would be a problem.

00:59:53.980 But I'd love to see him mistry it.

00:59:55.780 What was that bill again?

00:59:56.820 I didn't quite understand.

00:59:58.140 You're going to have to go back and rewrite it again.

01:00:01.660 So what happens to the shutdown?

01:00:05.040 You know, we're at another payday today.

01:00:07.720 Yeah, nothing.

01:00:09.140 I mean, they'll get they being the government workers will get reimbursed when the government

01:00:15.220 finally opens.

01:00:16.060 They'll get back pay.

01:00:17.960 So nothing will happen.

01:00:19.400 It'll just be, you know, if you go to Yellowstone, it's going to be tough to use the head.

01:00:24.240 I mean, that's the way it's going to be.

01:00:25.940 Right.

01:00:26.300 So if you if you have let's say you're a government worker, you're going to get all of this money.

01:00:32.620 You could go to a bank or a credit union and just say, hey, here's my pay stub.

01:00:37.040 I'm part of the government shutdown.

01:00:39.200 I'm going to get it.

01:00:40.140 So I just need this every two weeks until this is done and I'll sign it over to you.

01:00:44.580 And everybody would give you that loan.

01:00:46.020 I hope so.

01:00:48.020 I mean, and if you didn't, then they should tell the press who might even report that locally.

01:00:54.000 I mean, there should be.

01:00:55.600 I mean, a bank, you know, maybe not because it's so political now, but if some banks should

01:00:59.900 stand up and just say, hey, by the way, federal workers, we've got a program for you.

01:01:04.700 Yeah, we'll help you out.

01:01:06.460 You know, you just when you get it, you bring it back to us and we'll we'll give you the

01:01:10.480 salary, a bank could look really good by solving by solving that.

01:01:15.400 Absolutely.

01:01:16.160 That's a good idea back.

01:01:17.400 That's part of the enlightenment.

01:01:19.220 Yes, it is now part of the entertainment and comedy.

01:01:24.460 Your thoughts on how it's going to how it's going to actually play out this this thing about

01:01:32.000 the American people are being hurt and and and security is is being weakened.

01:01:38.540 And do you believe that this can last very long and Trump come out victorious with this?

01:01:47.500 I think that there'll be some resolution in the next couple of weeks.

01:01:53.020 I think that if the Trump administration believes that the Democrats are not going to compromise,

01:01:59.720 that they will do the emergency thing, because, again, this strengthens Trump in front of his

01:02:07.460 core, it looks like he's a man of action standing up to the villainous Democrats.

01:02:14.220 And I think they'll take the calculation that, look, we'll do this.

01:02:18.520 We'll open a government.

01:02:19.720 We'll fund the wall and our people will like it and and reelect it.

01:02:24.280 So that's what I see happening.

01:02:26.000 If the compromise, it doesn't come.

01:02:28.300 All right.

01:02:30.040 When we come back, I want to talk to a little bit about Michael Cohen.

01:02:33.600 Again, the newsrooms were rubbing their hands in glee.

01:02:37.360 We've got this time.

01:02:38.780 They want all the stuff.

01:02:40.160 Yeah.

01:02:40.560 And so he's going to he's going to testify in front of Congress in February before heading

01:02:45.400 to prison.

01:02:46.200 Want to get your thoughts on what he's what he's going to say, the damage, if any, that

01:02:51.280 that would cause and more with Bill O'Reilly from Bill O'Reilly dot com.

01:02:57.320 You can watch the no spin zone at Bill O'Reilly dot com.

01:03:01.660 Become part of the the future and the media of the next generation.

01:03:08.300 Not now, you know, not not part of the media of 1950.

01:03:14.360 The mainstream media.

01:03:16.500 Bill O'Reilly from Bill O'Reilly dot com.

01:03:18.040 We continue in just a second.

01:03:21.280 You're listening to Glenn Beck.

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01:04:34.160 Bill O'Reilly.

01:04:34.620 More with him next.

01:04:40.340 This is the Glenn Beck program with Bill O'Reilly.

01:04:42.740 Bill, we want to clean up one of the facts that we've heard quoted three different ways.

01:04:47.200 We've been quoting the president.

01:04:49.400 Um, and everybody else, including you have, have said that this number is even higher.

01:04:54.900 So I want to know which is right.

01:04:57.400 Yeah, Bill, it's a sexual assault number coming across the Mexican border.

01:05:00.280 You said, you think you said 60% I've heard two thirds amnesty international has reported

01:05:05.620 that.

01:05:06.060 Yeah.

01:05:06.260 There's a Huffington post report from a couple of years ago that said 80%.

01:05:09.060 The president, however, in his address said it was one third.

01:05:12.040 I don't know if he just misread the number or doctors without borders says it's 30%.

01:05:16.960 Okay.

01:05:17.560 So look, it's a lot.

01:05:18.520 Um, the, the confusion is that how are you going to get accurate reporting?

01:05:22.240 You're not.

01:05:23.340 Um, so we, the only thing you do is cite the agencies that go in and, and ask people, um,

01:05:30.720 what happened, but do the math.

01:05:33.040 If, if you are a young woman and you are walking in territory controlled by cartels, what do

01:05:42.880 you think is going to happen toward the Mexican border?

01:05:44.940 What do you think is going to happen to you?

01:05:47.780 All right.

01:05:48.980 So no matter what the stat is, whether it's 33 or 60, that's a national crisis.

01:05:56.540 If we care, we, the United States about defenseless, poor women being brutalized. 1.00

01:06:04.460 And you want to talk about a power dynamic, the power dynamic between a, a woman and a 0.99

01:06:10.140 coyote is a little off the charts.

01:06:12.420 Yeah.

01:06:12.860 Especially when they have guns and knives and they'll use them.

01:06:17.260 Yeah.

01:06:18.100 All right.

01:06:18.520 So go ahead.

01:06:20.440 Let's talk a little bit about Michael Cohen real quick.

01:06:22.580 And what Michael Cohen is expecting to expected to say in front of Congress and, you know,

01:06:28.620 how everyone is licking their chops on this on the left.

01:06:31.840 Yes.

01:06:32.380 This is another example of the cable disintegration that I write about on billoreilly.com in my

01:06:39.480 column.

01:06:40.380 So what you're going to have here is this guy Cohen who hates Trump going to sit there

01:06:48.960 and then Democrats are going to say, Oh, what did he tell you about stormy Daniels?

01:06:54.620 Oh, what did he tell you about?

01:06:56.220 Karen McDougal?

01:06:57.400 How many other women were there? 1.00

01:06:59.560 What did he do with those women?

01:07:01.560 Were you there?

01:07:03.360 It's going to be salacious with a capital S.

01:07:06.960 And that's what the cable and network news wants.

01:07:12.060 Diminish the president.

01:07:13.720 So it's going to be like bill Clinton.

01:07:15.420 Listen, we got all the Lewinsky stuff, right?

01:07:19.120 This is part two.

01:07:21.720 And Cohen will sit there and he'll say whatever he wants, whether it's true or not.

01:07:26.940 All right.

01:07:27.540 Even though he's under oath.

01:07:28.800 So what?

01:07:30.000 How is that going to be disproved?

01:07:31.620 It's a he said, she said he's the lawyer.

01:07:35.780 Trump is the client.

01:07:38.260 So what does he do?

01:07:39.580 What does Trump do?

01:07:40.640 Now, I would ignore it, but you're going to have at least seven days of that.

01:07:44.380 At least.

01:07:45.680 And Trump is not capable of ignoring it.

01:07:47.580 Every second.

01:07:48.280 Yeah.

01:07:48.680 Every salacious thing.

01:07:49.860 And Cohen's going to get his revenge.

01:07:52.600 All right.

01:07:53.080 Let me change subjects to two videos that came out.

01:07:56.340 The first one is Beto in the dental chair.

01:08:03.160 Listen to this.

01:08:03.920 So I'm here at the dentist and we're going to continue our series.

01:08:10.920 This is crazy, but not as crazy as Elizabeth Warren and her video.

01:08:17.420 Let me play a clip of this.

01:08:19.220 Hold on a sec.

01:08:19.960 I'm going to get me a beer.

01:08:24.720 So bad.

01:08:25.700 Hey, get me a beer.

01:08:31.160 Robert, my husband, Bruce, is now in here.

01:08:33.560 Oh, my gosh.

01:08:34.940 You want a beer?

01:08:35.720 I'll pass on the beer for now.

01:08:36.880 You sure?

01:08:37.340 I'll pass on the beer for now.

01:08:38.980 So this is my sweetie.

01:08:40.380 We don't usually drink beer.

01:08:42.580 And I'm crazy.

01:08:43.680 Okay.

01:08:44.200 All right.

01:08:44.680 So, Bill, first of all.

01:08:47.320 Less spilling.

01:08:48.340 I mean, I beg the Democrats, I beg the Democrats, please run Elizabeth Warren, please, because

01:09:00.380 she makes Hillary Clinton look less wooden. 1.00

01:09:03.800 Now, that's not a wooden cigar Indian thing.

01:09:06.800 That's not what I meant by that.

01:09:07.960 It's a little stiff.

01:09:09.720 Well, you know, I went to Harvard and I believe I saw Elizabeth Warren careening down Mass Avenue

01:09:16.860 with a couple of beers in her hand.

01:09:19.220 But I could be wrong.

01:09:21.200 Yeah.

01:09:21.420 Well, she says, if you heard her say, let me, I'm going to get me a beer.

01:09:26.640 I'm going to get me a beer.

01:09:27.840 I'm going to get me a beer.

01:09:28.620 And then I'm going to shoot my shot going out the back window.

01:09:34.560 So, if you had to pick the three most dangerous people to run against Donald Trump, who would

01:09:43.800 they be?

01:09:44.160 Well, are you asking me for serious, whether they beat him or just ridiculous?

01:09:50.080 No, no, no.

01:09:50.480 The people who you would say these would be serious contenders.

01:09:55.940 For instance, I think Joe Biden would be a serious contender.

01:09:59.080 Yes.

01:09:59.520 There's no doubt that Biden would be a serious contender.

01:10:03.280 But Trump, you know, would pretty could lash him in the debates.

01:10:07.280 Look, if Michelle Obama runs for president, as I understand some very powerful people are

01:10:14.520 asking her to do, she would win.

01:10:18.100 And so that's where you start.

01:10:21.320 Michelle Obama would win the presidency of the United States.

01:10:26.300 And then from there, Oprah, Biden, maybe Cuomo, the governor of New York, possible because

01:10:44.620 he's got New York and California locked up.

01:10:46.580 He just needs to peel off Florida.

01:10:48.180 Uh, those are the ones.

01:10:51.800 OK, so if I did the top three, not counting Michelle Obama, because I think that's agree.

01:10:57.180 That's that's a really that's a wild card.

01:10:58.820 Do you expect her to do it, Bill?

01:11:00.480 I know she's people want to expect her to do it.

01:11:03.460 But it is entirely possible.

01:11:06.360 You got to understand that there's a crew and her husband would probably have the final 0.52

01:11:12.680 say on it, Barack Obama.

01:11:16.040 But there is a crew and they regularly meet.

01:11:19.880 Oprah is part of that crew.

01:11:21.900 Um, and this topic, my sources tell me, is always discussed.

01:11:29.100 I will tell you, um, I don't think they like Hillary Clinton all that much.

01:11:35.220 And just the icing on the cake would be that Hillary Clinton, she might have to check herself 1.00

01:11:45.200 into a mental institution if it was Barack Obama, a Republican, and then the wife of 0.83

01:11:53.200 the president.

01:11:54.340 Right.

01:11:54.940 She'd lose her mind.

01:11:55.580 Well, Hillary Clinton is not going to get the nomination. 1.00

01:11:58.420 No, no, no, no, no.

01:11:59.380 Yeah, no, I know that.

01:12:00.640 But I'm just saying that's what her dream was.

01:12:02.760 She was going to be the one and to have it, Michelle Obama would drive her nuts. 1.00

01:12:05.780 Exactly the same scenario with a much better candidate.

01:12:08.380 Yes.

01:12:08.920 Michelle Obama is a very formidable woman, uh, and can handle herself.

01:12:13.300 But what she has going for her is basically the press would just lockstep right behind 1.00

01:12:20.020 her.

01:12:20.200 Oh, yeah, yeah, yeah.

01:12:21.140 They don't, they didn't look, there's a lot of people in the press.

01:12:23.500 Yeah.

01:12:24.020 A lot of people in the press don't like her.

01:12:25.340 Fox News, right.

01:12:26.580 Only Fox News would be opposed.

01:12:29.140 Um, and, and the other thing is that if you criticized Michelle Obama, you know, then

01:12:35.460 you're a racist. 0.92

01:12:36.920 Okay.

01:12:37.540 Um, so, so, so, so hang on.

01:12:39.100 And that card would be front and center.

01:12:40.960 Um, so she would get no scrutiny at all.

01:12:44.100 And then there would be Barack saying, Hey, happy days are here again.

01:12:48.540 We'll be in.

01:12:49.680 We'll all of this crazy Trump stuff will be gone.

01:12:52.780 And, um, Barack Obama won the presidency twice on very thin record.

01:12:58.420 He didn't have a good record to run on.

01:13:01.100 So people listening to us right now, I want you to write down that O'Reilly put forth this

01:13:07.020 on January 11th, 2019, because it is entirely possible, probable.

01:13:15.040 I don't think Mrs. Obama wants to do it, but she could be persuaded.

01:13:21.660 Let the, write this down in your journals that on the same day, Glenn Beck told Bill O'Reilly

01:13:27.380 how it becomes probable.

01:13:28.620 And that is economic calamity.

01:13:31.200 If we have a serious economic downturn, it not only becomes probable for her running,

01:13:38.200 but very probable of her winning easily because she can just say, remember the good old days?

01:13:45.240 What'd you say?

01:13:46.220 If Trump, if Trump's not going into the vote with a strong economy, he loses.

01:13:50.840 Yes.

01:13:51.320 To anyone, Bill?

01:13:52.060 Do you think even like a list before?

01:13:53.320 He's not going to lose to Kamala Harris or Bernie Sanders, but he will, the Democrats will

01:13:59.360 run a moderate against him if the economy wobbles.

01:14:03.260 And they're not going to, look, these far-left people, they're entertaining and the press loves

01:14:07.720 them, but they're not serious candidates.

01:14:10.260 Nobody, Kamala Harris is going for vice president. 0.95

01:14:14.020 Yes.

01:14:14.440 He's hoping that Biden, if he gets a nomination, will pick her as VP.

01:14:18.560 And I think that's ace.

01:14:20.400 This is what all the calculation, Beto, all Beto wants is lecture fees and a book.

01:14:26.220 I mean, it's money in the bank for him to do this.

01:14:30.360 Now, is there an outside shot he would be VP?

01:14:33.240 Yeah.

01:14:33.920 Yeah.

01:14:34.260 I mean, they might, but I don't think they're going to run two white men with the anti-white

01:14:39.720 sentiment among the Democratic Party.

01:14:41.600 No, he's Hispanic.

01:14:43.900 No, I mean, but, you know, identity politics is selection of race to represent your party.

01:14:51.160 No, he's Hispanic.

01:14:52.320 I mean, I'm from Texas.

01:14:53.620 I saw the campaign.

01:14:54.780 It was Hispanic against a white man, and the white man was Ted Cruz, and the Hispanic was

01:15:01.220 Beto.

01:15:03.480 But he's Irish.

01:15:05.600 Oh, please don't confuse facts.

01:15:08.040 You and your facts.

01:15:08.620 Oh, my gosh.

01:15:10.040 So annoying.

01:15:11.140 It's part of the fusion, though, Beck.

01:15:13.400 We have white men in entertainment. 0.80

01:15:15.480 Bill O'Reilly, thank you so much.

01:15:17.200 We'll talk again next week.

01:15:19.420 Thank you very much for having me.

01:15:21.500 There's no plug or anything?

01:15:22.960 You don't want to throw up?

01:15:23.980 Oh, you know, killing the SS number six. 0.66

01:15:27.520 It's number three this week, this Sunday, and then the six after a quarter of a year

01:15:32.600 on the list.

01:15:33.560 So it's got to be good, right?

01:15:35.720 Killing the SS got to be good. 0.87

01:15:37.300 Beck even liked it.

01:15:38.300 We elected Barack Obama.

01:15:40.500 So I'm not sure I trust the American people.

01:15:42.780 It's Bill O'Reilly.

01:15:45.940 And then Bill O'Reilly.com, as you kindly mentioned, is a place for lively and honest analysis.

01:15:52.540 Thank you so much, Bill.

01:15:53.280 Appreciate it.

01:15:53.820 All right, guys.

01:15:54.340 God bless.

01:15:55.500 Bill O'Reilly.com.

01:15:57.180 All right.

01:15:58.560 I want to talk to you a little bit about Bitcoin.

01:16:01.160 Is 2019 the year Bitcoin takes back off?

01:16:05.160 I'm not sure.

01:16:05.940 We have to watch what happens tomorrow.

01:16:08.940 In France, the yellow vests are actually saying that they want to cause a run on the banks.

01:16:15.120 They've put, I think, another, what is it, 60,000 police on the streets for this weekend?

01:16:19.400 They say it's going to be very violent.

01:16:20.540 But they're saying that they want the French people to go into the banks and take 20% of their money out, take it out of the euro, and put it into Bitcoin.

01:16:31.340 This is not something to prop up Bitcoin as much as it is something to collapse the euro.

01:16:37.500 That's what they're trying to do is create a run on the banks. 1.00

01:16:39.940 I don't think, is it possible this is going to happen and be something that is really important on Monday?

01:16:46.440 Yes, it's possible.

01:16:47.660 Is it probable?

01:16:48.320 I don't think so, but we'll have to see and we'll know by tomorrow.

01:16:53.000 Bitcoin is going to play a role because the economies, whether it's started by some group or it's just started by bad banking practices and bad spending practices, there are going to be runs on the bank in the future.

01:17:09.880 And Bitcoin is going to play a large role in that of a flight to safety, I believe.

01:17:15.900 So here's what I want you to do.

01:17:17.200 I want you to learn all about it.

01:17:18.660 I'm not asking you to invest in anything.

01:17:20.720 I want you to learn all about blockchain, Bitcoin, cryptocurrency.

01:17:24.740 Take the crypto course.

01:17:26.160 It's smartcryptocourse.com.

01:17:28.760 It was designed for this audience so it can take you along and teach you everything that you need to know about why this technology is important in the role that it will play.

01:17:37.540 Then you decide if you want to invest in it or not.

01:17:40.120 I think everybody should have $100 in some sort of cryptocurrency, but don't go crazy with it because it's very volatile.

01:17:47.000 Call smartcryptocourse.com, smartcryptocourse.com or call 877-PBL-BACK, 877-PBL-BACK, smartcryptocourse.com.

01:17:58.400 Welcome to the program, the Glenn Beck program.

01:18:00.380 So glad that you are so glad that you are here.

01:18:02.900 I wanted to play something that has been taken off of Twitter that I think is really important.

01:18:12.720 It's audio and video from a rally in Sweden.

01:18:17.860 But I just I just want to show you how dangerous it is to have an algorithm or people who judge what's hate speech, what's not hate speech, and to have a platform, not a media source, but a platform decide what's arable and what's not.

01:18:38.520 Can we please play the Muslim crowd threatens Jews? 1.00

01:18:47.860 Okay, here they are here.

01:18:51.340 They are talking about, oh, Jews, though, the army of Mohammed is returning. 0.98

01:19:02.860 I arm me, make me of service, they say.

01:19:10.060 Down with the house of sod.

01:19:12.160 That's the Saudi. 1.00

01:19:12.980 They don't like anybody.

01:19:17.680 I know.

01:19:18.080 No normalization with Jews. 1.00

01:19:20.360 No normalization with Jews. 1.00

01:19:22.760 All things said chanted like this.

01:19:24.400 I wrote it was positive.

01:19:25.400 Down with the house of sod.

01:19:27.180 No normalization with Jews. 1.00

01:19:30.780 This is, it gets much worse.

01:19:33.300 Strike them with knives.

01:19:36.620 Strike them with knives.

01:19:40.100 Strike, strike, do not be afraid.

01:19:42.980 So, strike, strike, do not be afraid.

01:19:50.220 Anyway, this is happening in Sweden, in a town square with a bunch of people holding a Palestinian flag.

01:19:59.280 This has been removed from social media.

01:20:03.640 I played this, and I have reposted it on social media, and I will continue to repost it on social media, so people can see what is happening over in Europe.

01:20:16.380 And you can proudly see the Palestinian flag and how the Palestinian movement is not about peace. 0.94

01:20:25.420 Now, it's really important for me to clarify.

01:20:28.740 I have met Palestinians over in the Middle East.

01:20:32.520 I have met Muslims over in the Middle East.

01:20:35.080 And when they are alone and feel safe, they do not say a lot of these things, but they keep their mouth shut because the people who are saying these things will kill them.

01:20:48.520 There's also another story from the Palestinian areas around Jerusalem where a Palestinian guy who didn't have a problem with Jews sold his house to somebody from Jerusalem.

01:21:05.260 He was taken and tortured, and I don't hear anybody talking about that.

01:21:11.960 I don't know why.

01:21:13.880 I mean, we had to pay attention to Khashoggi.

01:21:17.240 But what about this guy?

01:21:20.200 What about this guy?

01:21:21.320 Does his life matter?

01:21:22.500 The fusion of entertainment and enlightenment.

01:21:32.000 This is the Glenn Beck Program.

01:21:33.780 Now, Jim Acosta did some unbelievable reporting.

01:21:38.200 He was out on the border yesterday wearing sunglasses in the middle of the day, trying to prove that there is no problem on the border in Texas.

01:21:48.700 Did he go to San Diego where it's happening?

01:21:51.440 No, he went to McAllen, Texas, where it was happening a few years back, and he wasn't there.

01:21:57.820 He's standing in front of a giant border wall.

01:22:01.500 And here's his cute little report.

01:22:03.880 And here are some of the steel slats that the president's been talking about right here.

01:22:08.500 As you can see, yes, you can see through these slats to the other side of the U.S.-Mexico border.

01:22:14.640 But as we're walking along here, we're not seeing any kind of imminent danger.

01:22:18.160 There are no migrants trying to rush toward this fence.

01:22:21.440 It's here in the McAllen, Texas area.

01:22:23.460 Fence works.

01:22:23.860 As a matter of fact, there are some other businesses behind me along this highway.

01:22:27.160 There's a gas station, Burger King, and so on.

01:22:29.420 Oh.

01:22:29.940 But no sign of the national emergency that the president has been talking about.

01:22:34.260 Well, I have to tell you, when I saw this from Jim Acosta yesterday, I thought, wow, that kind of proves the point of, you know, a fence.

01:22:42.440 And people aren't usually coming over during the day unless it's a mob like is happening in San Diego.

01:22:49.120 But then we started thinking, you know, he's making a good point here.

01:22:55.320 Let's go to Stu, who is out on location.

01:22:58.140 Stu, where are you right now?

01:23:01.380 Stu, are you?

01:23:02.300 Glenn?

01:23:02.760 Are you there?

01:23:03.340 Yes.

01:23:03.720 Stu, go ahead.

01:23:04.520 On the road again or broken down on the side of the road?

01:23:09.420 Hi, I'm Supergear reporting live right now from the Long Island Expressway, one of the busiest roads in the United States of America.

01:23:19.280 And you're not going to believe what I am seeing out here right now, Glenn.

01:23:22.580 It's incredible.

01:23:24.300 We are told.

01:23:26.480 We are told.

01:23:27.320 America loves.

01:23:28.740 They love their cars.

01:23:29.900 We are told that the economy is raging right now.

01:23:34.740 And this is one of the best economies we've had in decades.

01:23:37.780 But yet here I am on the Long Island Expressway, and there is almost no one on the road.

01:23:46.820 This president is a fraud.

01:23:48.840 Hold on just a second.

01:23:49.640 Wait a minute.

01:23:50.780 It's not rush hour.

01:23:53.180 What?

01:23:53.920 It's not rush hour.

01:23:55.020 Of course, it's not rush hour.

01:23:57.500 The Long Island Expressway is usually open during.

01:24:00.480 Hello?

01:24:01.480 I don't.

01:24:03.760 My.

01:24:05.560 It's not breaking up.

01:24:07.040 I can still hear the car engine.

01:24:09.840 Radishes.

01:24:11.320 All right.

01:24:12.480 We'll try to check in with Stu and we get a better connection.

01:24:16.720 Maybe we can get one from CNN.

01:24:19.280 This is the Glenn Beck program.

01:24:22.080 Okay.

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01:26:33.700 Now.

01:26:42.340 Do we have do we have Stu still on the line?

01:26:44.900 Can we go back to him?

01:26:47.520 We have Stu back on the line.

01:26:49.020 Are you still on the Long Island Expressway, Stu?

01:26:51.020 Hello, Stu.

01:26:52.940 No, I'm not.

01:26:54.400 No, I'm not.

01:26:55.440 Glenn.

01:26:56.960 Aquaman.

01:26:57.860 Number one or underwater.

01:27:00.700 Hi, I'm super here.

01:27:01.780 Oh, I am.

01:27:03.640 Super here.

01:27:04.180 I'm reporting live from a showing of Aquaman that is going on right now at a local theater.

01:27:09.640 We are told by this administration that Aquaman is the number one movie in America.

01:27:14.340 What is it?

01:27:15.620 Well, I'm here right now, and I see only four other people in this entire theater.

01:27:21.040 This man is a fraud.

01:27:22.940 He is a liar.

01:27:24.000 He's lying to us about Aquaman.

01:27:25.520 It's a work day in the middle of the day.

01:27:27.720 It's a work day in the middle of the day.

01:27:30.360 Of course, there's only four people in the movie theater.

01:27:32.700 You started breaking up there, but let me just finish this true statistical, factual information

01:27:40.040 that I have.

01:27:40.880 I'm watching this film right now, and what we're seeing is that man and fish have merged.

01:27:47.140 Man and fish have now merged because of global warming.

01:27:50.080 This president continues to deny it.

01:27:52.600 But I am sitting here right now watching four other people watch a man-fish combination on the big screen.

01:28:01.140 This is shocking, and this president is a liar, and I hope people understand it and watch my Instagram channel.

01:28:08.800 All right.

01:28:09.080 Thank you very much, Stu Breguier, doing some Jim Acosta reporting now on the road.

01:28:15.700 All right.

01:28:16.500 I want to talk to you a little bit about how important it is for the president to pay attention to the economy

01:28:23.420 and to stay right lockstep with a good economy and doing everything he can to make sure that we don't go into a recession.

01:28:35.720 Now, there is speculation that we are headed for a recession.

01:28:39.340 In fact, most people believe now that we are headed for something really, really bad.

01:28:43.700 I think we are, too.

01:28:44.900 The numbers just show it as far as debt, spending, personal debt, personal credit, all of these things all around the world.

01:28:54.480 We're just on the brink of something really, really bad because Europe did not come back after 2008.

01:29:02.420 China only recovered 20% of what they had lost in 2008.

01:29:07.280 We've done well, but the rest of the world hasn't.

01:29:10.160 But there are some things here in the United States that should be noted on the positive side.

01:29:16.020 I just got this from the Palm Beach Daily.

01:29:18.120 They were talking about the labor statistics from the Bureau of Labor.

01:29:22.820 They said that the U.S. economy added 312,000 jobs in December.

01:29:31.260 Now, that far exceeds the expectations of 184,000.

01:29:36.180 And the average hourly hourly earnings also rose 0.4% over last month.

01:29:44.620 Okay.

01:29:45.620 0.4%.

01:29:46.620 That doesn't mean that much, does it?

01:29:48.840 But that means it has risen hourly wages 3.2% over last year.

01:29:55.300 So let me translate this from econ bullcrap to English.

01:30:00.660 U.S. companies hired 70% more workers than they anticipated during the holiday season.

01:30:07.680 You hire more workers because things are better than everybody is telling you it is.

01:30:12.860 The workers that they hired got 3.2% more this last December than they did the December before.

01:30:22.340 Why is that important?

01:30:23.980 3.2% doesn't sound like that much of an increase, but it is the biggest increase in hourly wages since 2014 and one percentage point higher than the inflation rate.

01:30:38.060 So on the whole, Americans got an actual real inflation adjusted pay raise last year.

01:30:46.900 We haven't had that in I don't know how long.

01:30:50.680 So now that's the good news.

01:30:53.100 Now, I want to show you why it is so in hang on just a second.

01:30:59.120 We have is he still at the movie theater?

01:31:03.220 Stu, I think you're taking the Jim Acosta thing too far.

01:31:08.220 It didn't work for him.

01:31:10.140 I don't know what you're doing.

01:31:13.240 America's pastime or America's pastime of the past.

01:31:18.140 Hi, I'm Stu Bergeer reporting live from Yankee Stadium in New York City.

01:31:22.920 And as you can probably hear, there are tons of people here.

01:31:26.720 They're walking around.

01:31:27.920 The streets are hustling and bustling as you'd expect.

01:31:30.720 However, Yankee Stadium is empty.

01:31:35.460 No one who's passing by is even bothering to go in.

01:31:39.380 Do people care about baseball anymore?

01:31:41.820 I don't think so.

01:31:43.180 Okay, hang on.

01:31:43.960 It's January.

01:31:46.180 We don't.

01:31:46.740 The season is over.

01:31:48.640 Nobody should be going in to watch baseball at Yankee Stadium.

01:31:52.020 And it's in the middle of the day.

01:31:53.460 And it's Friday.

01:31:55.020 Outside of baseball season.

01:31:58.400 Okay, Sarah Huckabee Sanders.

01:32:00.160 The truth, of course, is that your lies about what happened here at Yankee Stadium are well documented.

01:32:08.480 First of all, yes, sure, there are fences and walls keeping people out of Yankee Stadium.

01:32:13.860 But that's not the reason walls don't work.

01:32:17.560 And I want to make one more thing clear.

01:32:19.260 All of the things that I talk about in these incredible award-winning reports are not about the actual things.

01:32:26.680 They're about me.

01:32:28.760 I want you to think about me.

01:32:31.420 I, the news, is about myself.

01:32:34.880 I am the most important story here.

01:32:37.000 I want you to look about me.

01:32:38.340 I want you to think about me.

01:32:39.620 I want you to dream about me.

01:32:41.980 Shibukai Stuber here.

01:32:43.680 Think about me every waking moment because that's all I care about.

01:32:47.020 Live from New York.

01:32:48.500 It's Shibukai Stuber here.

01:32:49.100 Thanks, bud.

01:32:52.800 Oh, man, I think that, I think that disease from CNN is starting to spread.

01:32:59.520 Let me tell you about realestateagentsitrust.com, then back to the programming and why the president needs to pay attention to the economy and what it means for 2020 in just literally one minute.

01:33:10.800 First, let me tell you, if you're trying to sell your home, please, please, please, please go to realestateagentsitrust.com.

01:33:18.280 We get letters in all the time, and I want to read one from Scott from Tennessee.

01:33:23.300 He said, I can't speak highly enough about the service that I received from the very first email with realestateagentsitrust.com.

01:33:31.700 I was contacted by a realtor named Jim from your network, guys.

01:33:36.940 He said, I had a pretty big mess on my hands and received what amounted to free budgeting and investment advice during our meetings.

01:33:46.120 He then proceeded to take a house that I had been stuck with and owed way too much money on, and he sold it in less than a week for more money than I thought he could ever get.

01:33:57.520 He did such a fantastic job that I referred him to everybody I know, including my mom.

01:34:02.680 Her house had been listed by multiple agents over several years.

01:34:07.220 Jim just sold her house as well.

01:34:09.040 So to sum up, thank you all for the service that you provide.

01:34:13.020 That is the reason Tanya and I started realestateagentsitrust.com.

01:34:18.360 We've been in Jim's position.

01:34:21.160 We've been in that situation where you're like, oh, geez, these people that we have found all over the country that are real estate agents, they don't work for me.

01:34:30.500 I'm a network that has assembled some of the best people around that listen to the show, have the same values that you have, and will sell your home.

01:34:41.000 Realestateagentsitrust.com.

01:34:43.940 Realestateagentsitrust.com.

01:34:45.380 Get moving.

01:34:47.940 10 seconds.

01:34:48.720 Station ID.

01:34:51.160 The year was 1928.

01:35:07.180 Amelia Earhart became the first woman to fly across the Atlantic.

01:35:10.720 It was a year after Charles Lindbergh had become the first man to do so.

01:35:15.200 The economy was booming.

01:35:18.380 People had refrigerators for the first time.

01:35:20.500 Americans were having their houses wired for electricity.

01:35:24.500 America was experiencing a year with record low unemployment and record high household incomes.

01:35:31.200 Now, 10 years before, after the wake of World War I, America had experienced a financial crisis.

01:35:37.220 We had a stock market crash and a depression deeper than the one that would be coming.

01:35:42.280 From 1918 to 1919, it was bad.

01:35:46.160 But since the lows of that were short-lived because, well, Calvin Coolidge helped them recover by cutting spending and cutting taxes, factories were booming.

01:35:59.300 The stock market had increased over 400%.

01:36:02.300 Companies were expanding and hiring.

01:36:05.580 Now, leading up to the 28th presidential election, Calvin Coolidge had been a very popular president, but he could have easily won re-election.

01:36:14.080 But I think his son had just died.

01:36:16.320 And he had also promised he would only serve one term.

01:36:19.960 So he did.

01:36:20.820 So he left.

01:36:21.480 And Coolidge handed the reins of the Republican Party over to a young and very popular member of his cabinet, Herbert Hoover.

01:36:30.920 Now, Hoover at the time in the 20s was known because he spearheaded the effort to save New Orleans and any other cities along the Mississippi Delta.

01:36:39.380 And he won the 1928 election in a landslide, 60% of the popular vote, 80% of the Electoral College.

01:36:48.760 He was the first Republican ever to win Texas.

01:36:52.580 He entered in 1929 with a 78% approval rating.

01:36:58.300 Think of that.

01:36:59.260 His first year in office was marked with yet further gains in stocks, more gains in popularity.

01:37:05.900 And, in fact, at a midsummer concert in Central Park, President Hoover went.

01:37:12.500 This is 1929, in the middle of the summer of 29.

01:37:16.200 Remember, the crash comes in October.

01:37:18.780 He walked into Central Park, a Republican president, walked into Central Park.

01:37:25.220 The standing ovation went on for 10 minutes.

01:37:29.060 He was just sitting in the crowd.

01:37:30.380 It was so bad he had to get up on the stage and say, please stop so we can listen to the concert.

01:37:38.020 That's how popular he was.

01:37:41.480 Now, in 1932, he loses to Franklin Roosevelt.

01:37:50.700 Why?

01:37:51.500 Hoover lost his re-election bid to Franklin Roosevelt in the worst defeat in the Republican Party history.

01:38:01.740 He won all but six states in 1928.

01:38:06.480 Four years later, he won only six states.

01:38:12.500 Let me go to 1988.

01:38:14.960 Ronald Reagan.

01:38:15.600 Ronald Reagan's popular VP, George Bush, ran against Michael Dukakis in 1988.

01:38:22.740 The 1980s economy, very strong.

01:38:25.980 From 81 to 1988, the Dow had gained over 150%.

01:38:30.660 Bush defeated Dukakis, 426 to 111 on the electoral map, winning 40 out of the 50 states, including California.

01:38:39.320 But four years later, Bush lost to Bill Clinton.

01:38:43.860 He carried only 18 states.

01:38:47.000 Most lopsided presidential election in history.

01:38:51.000 1972, Richard Nixon wins 46 out of the 50 states.

01:38:56.240 He carried 520 of the country's electoral votes, compared to 17 for McGovern.

01:39:03.620 It was an early night.

01:39:04.780 Nixon won California, Washington, Oregon, New York, Florida, Wisconsin, and Hawaii.

01:39:15.380 Imagine a Republican carrying two of those states.

01:39:19.740 And yet, just a few years later, Richard Nixon resigns in disgrace, one of the worst and least popular presidents in American history.

01:39:28.480 So what is the moral here?

01:39:30.420 What is the theme that runs through these stories that explains the dramatic falls from grace?

01:39:37.840 From October 29 to 1931, the U.S. stock market lost 90% of its value, the crash that launched the Great Depression.

01:39:48.560 From 89 to 91, stocks declined 28%.

01:39:53.260 Bush lost to Clinton.

01:39:54.780 From 72 to 74, at Nixon's resignation, markets had lost 26%.

01:40:00.960 That dramatic decline in stocks gave us the most dramatic reversal in political fortune history.

01:40:08.320 Now, since Trump's election, stocks are still up, but they are down 8% from their all-time highs since the fall of last year.

01:40:17.320 Stocks are merely a barometer of what people are feeling.

01:40:24.380 If people are feeling good, stocks are up, and the public is perfectly willing to ignore scandals.

01:40:31.240 Ask Clinton.

01:40:32.940 He was president during a stock boom.

01:40:35.940 Nothing mattered.

01:40:37.740 It's the economy, stupid.

01:40:39.140 But when stocks are down, it indicates the public's mood has turned negative.

01:40:45.100 And in that environment, presidents end up bearing the blame for how people feel.

01:40:50.920 And like Nixon, scandals are not ignored.

01:40:55.480 Scandals are going to come.

01:40:56.860 They come with every president.

01:40:58.360 And now with a Democratic Congress, more scandals are going to be happening.

01:41:04.220 The president inherited a booming economy.

01:41:08.100 He has made it better and rising stock markets and nearly a decade since America's last financial crisis.

01:41:18.580 Remember, 10 years before 1929, there had been a big crash, a depression, but it didn't last long.

01:41:31.740 And from that depression in 1919 to 1929, stocks went up 400%.

01:41:42.520 Since 2008 to 2018, stocks have gone up 400%.

01:41:54.060 We possibly are headed for dicey territory.

01:42:03.540 And if I am right, it doesn't mean just trouble for Trump.

01:42:07.540 It means socialism will be very difficult for even Republicans to say, we don't want any part of it.

01:42:16.700 But please, Mr. President, please, above all things, make the economy your number one issue.

01:42:29.520 Please don't do anything that hurts the economy and do everything you can that makes it easier for people to do business.

01:42:39.860 We should stay focused on those things while you continue to take care of things like the border, etc., etc.

01:42:53.400 You've got a lot on your plate, but you can do nothing if the economy begins to really nosedive.

01:43:00.040 So I was just I was a pleasure to be around for the last five years.

01:43:11.900 I've just been joyful and happy and pain free and just joking around with everybody or not.

01:43:20.600 Maybe the exact opposite until I started taking Relief Factor.

01:43:24.840 A Relief Factor is is a I can't even say it's a drug.

01:43:29.420 It's a it's a something that I take.

01:43:31.740 I don't even know what you would call it, something I take four times a day.

01:43:35.040 It's all 100 percent natural ingredients.

01:43:37.480 It was designed by doctors, but there's four key ingredients.

01:43:41.340 And these four key ingredients, what they do is they go in and they reduce inflammation.

01:43:46.860 That's where most of our pain and the trouble with our bodies come from is from inflammation.

01:43:52.000 Take Relief Factor.

01:43:53.420 I tried it for three weeks.

01:43:54.740 I went on to order more.

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01:44:13.240 So, Stu, I'm I'm reading a I'm reading a book, The Simple Economics of Artificial Intelligence, because artificial intelligence is going to change everything.

01:44:29.980 And it is hidden to something that is so basic.

01:44:34.560 And I feel so stupid for not realizing this.

01:44:38.180 But I don't think.

01:44:41.240 I mean, maybe I'm maybe I'm alone.

01:44:43.300 Maybe I'm just a just a really dull knife in the drawer.

01:44:45.500 How would you describe artificial intelligence?

01:44:48.300 What is it?

01:44:49.020 I mean, it's the process of computers, machines learning instead of just giving it being given a task and executing it over and over again like computers do.

01:45:00.740 It is instead learning new ways to do it, the best ways to solve the problems.

01:45:05.860 It's essentially the idea of a machine learning.

01:45:11.460 Now, that's what I would have said.

01:45:13.600 OK, but A.I. is actually nothing more than a prediction machine.

01:45:18.420 Now, when you think of this, I want you to think about how frightening this is.

01:45:24.360 If you are living in China or you would live in a 1984 state, it's a prediction machine.

01:45:30.320 And the more information you give it, the better its predictions become.

01:45:36.160 OK, so let's say you're living in China without any information.

01:45:41.240 You go missing.

01:45:42.460 Now, the government's looking for you and it doesn't have any information.

01:45:45.420 Well, it's predicting, OK, maybe they're at work.

01:45:49.960 All right.

01:45:51.900 That's us without all the information.

01:45:54.440 The more information you give, the better the prediction is.

01:45:58.340 So when you have access to all information, I can now monitor your emails.

01:46:03.640 I can now monitor your friends.

01:46:05.520 I can now monitor your energy usage.

01:46:08.960 I can monitor your credit cards.

01:46:11.220 I can monitor what you've purchased, who your friends are, has their hot water heater added more water, use more water than they usually use.

01:46:22.480 Like there's a guest staying at the house.

01:46:24.200 Now, with all that, I can say, you know what?

01:46:26.660 He's been talking to this person an awful lot lately.

01:46:29.260 He just bought a ticket to this part of town and this friend who lives in that part of town, their water usage and electricity usage went up this morning and their electricity was on.

01:46:43.100 Their lights were on late, late, late last night after he disappeared.

01:46:47.820 I think he's there.

01:46:49.840 That's all AI is.

01:46:51.900 It's predicting what's happening next.

01:46:55.560 Right.

01:46:55.920 I mean, that makes sense, right?

01:46:57.660 Like you'd say the same thing with like a purchase on Amazon, right?

01:47:00.400 Like this person has purchased these 10 things that would lead me to believe I'm going to suggest this 11th thing because it seems like the pattern they would be.

01:47:08.680 It's going to predict what I want to purchase.

01:47:10.700 So they are getting now speaking specifically of Amazon.

01:47:13.680 The predictions are getting so good that with just a little more information, because it needs two pieces of information it needs on general.

01:47:23.600 When people buy this product, what else do they buy?

01:47:28.300 Then it needs your buying habits.

01:47:32.000 You do you have that?

01:47:34.300 What else people normally buy?

01:47:36.140 Are you like the average person?

01:47:39.920 What makes you different?

01:47:41.340 They now believe that they can get the prediction of the things that you also want.

01:47:47.300 So when you go, if you let's say you start to do Amazon grocery service, OK, and you go in and you start using Amazon grocery service and you still have to order.

01:47:58.960 What will happen is you will go on and you say, I need bread.

01:48:03.260 Then it'll say people who bought this also bought and you'll be like, yes, I need milk, too.

01:48:08.100 OK, yes.

01:48:08.620 And I need cheese.

01:48:09.440 Yeah, I need the breakfast cereal and it will know what normal people do.

01:48:13.780 But as it gathers more information on you, you're not really going to have to do a grocery list because it will know you're buying habits.

01:48:24.500 How often you buy them when you have to have new fruit loops, you buy that every other time or twice a week or whatever it is.

01:48:33.640 It will know you buy milk.

01:48:36.000 But every other time you buy milk, you also buy fruit loops.

01:48:40.160 And so it will start packaging.

01:48:42.440 And so Amazon is going to be the first company that is going to be able to predict you so well that they are going to right now.

01:48:51.140 The the the way everything is done is shopping and shipping.

01:48:57.160 You shop, it ships.

01:49:01.320 But prediction is going to become so good because they have gathered so much information on you.

01:49:06.860 This is why Alexa is in your home. 1.00

01:49:08.980 It's shopping.

01:49:10.900 Alexa is in your home to listen to you because they're about to switch from shopping and shipping to shipping and shopping. 0.92

01:49:21.720 They believe that they can predict you so well soon that they're just going to send you the groceries.

01:49:30.440 They're just going to send you the things that they know you need, the things that they know.

01:49:35.920 Oh, this just came out.

01:49:37.020 They are going to love this.

01:49:39.360 And they will send it to you and they can they feel they can handle about four to five percent of returns.

01:49:45.800 That means they're going to be able to predict your shopping habits 95 percent of the time and they're correct.

01:49:56.280 So this is a prediction machine.

01:49:59.780 That's that's all it is.

01:50:01.440 And it's getting so good and it's changing so fast.

01:50:06.240 For instance, have you ever used translation services from Google?

01:50:11.480 Yes, a few times when there's something, you know, that's the only place I know how to translate anything.

01:50:15.300 OK, so translation translation services from Google used to be horrible, used to be horrible.

01:50:20.820 And it's kind of like, you know, they put they put those little they put those little suggestions up in your email box.

01:50:27.460 And it's not just to help you learn to write a better email or make it easier on your fingers to write an email.

01:50:34.780 They're also you're teaching it to predict you.

01:50:39.500 So it goes in and you might be doing a work email and it might say, I love you.

01:50:45.160 You're like, why would I know?

01:50:48.100 But it's learning now you this person.

01:50:52.280 You never say I love you to this category that doesn't belong.

01:50:57.460 OK, and so it more it learns and deep learning, deep machine learning is really starting to take off.

01:51:05.060 Now, let me show you how much it changes.

01:51:07.300 So in 2000, I think it was 16.

01:51:12.500 The snows of Kilimanjaro from Ernest Hemingway started like this.

01:51:17.860 The the actual original translation Kilimanjaro is a snow covered mountain, 19,710 feet high.

01:51:26.860 It's said to be the highest mountain in Africa.

01:51:29.620 That's how it starts.

01:51:31.580 November 2016 was like a Tuesday.

01:51:35.660 Somebody went in, tried to translate that to Japanese.

01:51:40.120 And it read this way.

01:51:43.000 Kilimanjaro is 19,700 feet of the mountain.

01:51:47.180 Not a very good translation.

01:51:55.640 No.

01:51:56.020 And is is it only 19,000 is covered in snow or what?

01:52:00.620 What is that?

01:52:01.320 Right.

01:52:01.820 The very next day after putting in machine learning, translating it into Japanese, it went from that to Kilimanjaro is a mountain of 19,710 feet covered with snow.

01:52:16.080 And said to be the highest mountain in Africa.

01:52:18.860 That's the right way, right?

01:52:20.220 Hello.

01:52:20.680 Yeah.

01:52:21.080 Yeah.

01:52:21.520 In one day, it changed.

01:52:24.420 And it's only because it's it added so much information about the words and predictive words in Japanese that Google didn't have access to.

01:52:36.800 It's changing so rapidly.

01:52:40.540 The reason why I bring this up is because a it shows you how your habits are going to be.

01:52:50.620 And it's it's fascinating to me.

01:52:52.620 Your body only gets stronger if you change your exercise routine.

01:52:59.860 Right.

01:53:00.340 You go in and you do the same thing day after day, after day, after day, it eventually stops being effective.

01:53:07.200 You have to change it up.

01:53:09.040 You have to confuse your body.

01:53:10.820 If you're eating and you're eating the same thing day after day, after day, you have a harder time losing weight because you have to confuse your body.

01:53:19.760 Your body gets used to things.

01:53:22.080 Right.

01:53:23.620 The mind, it goes stale when you're not learning new things and you're not pushing the boundaries.

01:53:31.800 Right.

01:53:33.100 We are so easily tracked because we're so predictable.

01:53:38.060 The other reason why this is interesting to me is.

01:53:44.960 We're going to be asked in my lifetime, we're going to be asked to define life.

01:53:50.380 We can't define it now, even inside the womb of a woman. 0.98

01:53:56.580 When AI passes the Turing test and you cannot tell the difference.

01:54:00.840 Is that because it has intelligence or just because it can predict what your next question is going to be and predict the answer that will satisfy you?

01:54:16.060 There's no reason to it.

01:54:17.920 It's not reasoning.

01:54:19.740 It's just doing what it was trained to do.

01:54:23.740 Predict you.

01:54:24.420 It's saying the perfect thing that will make you think it has intelligence, essentially.

01:54:30.100 Right.

01:54:30.680 Because that's its goal.

01:54:32.380 To predict you.

01:54:34.280 To be able to model you.

01:54:36.660 To be able to think like you.

01:54:39.060 So what does that mean?

01:54:39.600 It means we should have a deep discussions on AI because it's just a predictive model.

01:54:51.440 And so if it is tasked with, well, remember that game where they said where it had to find the AIs played characters and they had to create fuel.

01:55:08.660 Oh yeah, that was the, uh, that was, it was a life, uh, artificial life simulation, um, and survival in the game required energy, but childbirth didn't.

01:55:19.560 So the AI to try to make this society work evolved into a sedentary lifestyle that consisted mostly of mating in order to produce new children, which could be eaten.

01:55:32.180 And they solved the problem.

01:55:35.080 You said, uh, we needed energy and you said it didn't cost any energy to give birth to something.

01:55:39.300 So nice and easy.

01:55:41.040 They solved the problem.

01:55:42.060 This is why you have to be aware of it.

01:55:44.200 You have to be aware of it because it's not reasoning.

01:55:48.940 It's not reasoning.

01:55:50.120 It's just pursuing a goal.

01:55:52.400 Yeah.

01:55:52.680 It said like another one was, uh, you can't be killed on level two.

01:55:56.280 That was the goal to the computer.

01:55:57.820 So to AI.

01:55:59.180 And so AI, what they did is they got to the end of level one and just pause the game or crash the entire game.

01:56:04.320 They found ways to crash the game because they didn't want to lose on level two.

01:56:07.240 You told me not to lose on level two.

01:56:09.120 So I'll pause it on level one or crash it on level one.

01:56:11.440 I'll never lose on level two.

01:56:12.980 We just found there was a story out today that, uh, I think it was Google maps found that they were taking, uh, they were taking the, the satellite, uh, uh, photography and they were having to, they tasked AI with making these maps quickly and translate this into like a Google map.

01:56:32.200 Well, it did, but it was leaving things out of the map like skylights.

01:56:37.420 So if there was a building with a bunch of skylights or a bunch of things on top of a roof, it didn't have the time to complete the map.

01:56:45.180 It was not told delete or take any shortcuts.

01:56:49.400 It was told, do this.

01:56:50.940 It decided it cannot, I can't complete that task and do everything.

01:56:55.840 So I don't think this is important.

01:56:57.700 And so it cheated.

01:56:59.480 It started doing something itself and leaving things off.

01:57:04.500 Who we just have to be extraordinarily careful as we get into AI.

01:57:14.760 Our sponsor this half hour is American financing.

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01:57:24.080 That is, that's crazy.

01:57:26.260 I told you about a JP Morgan, uh, loan, uh, that is, I still have that here.

01:57:32.060 Yeah.

01:57:32.220 But it's this crazy loan system that they've just come up with a relationship props, uh, pricing.

01:57:39.000 Oh, relationship pricing.

01:57:40.760 That sounds good.

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01:58:25.080 Wait, what?

01:58:26.400 What's this?

01:58:27.220 Now I saw this.

01:58:28.320 I got this letter in from JP Morgan.

01:58:30.260 And then I saw this on a millennial website as an ad, and it was smart investing.

01:58:38.800 It was how millennials can get a house. 1.00

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01:59:23.280 This is the Glenn Beck Program.

01:59:32.500 There is something to watch this weekend.

01:59:38.460 I want you to keep an eye on France to see if there are runs on the banks in France.

01:59:43.520 I don't think it's going to happen.

01:59:45.200 But if it does, it will be a gigantic story in the markets on Monday.

01:59:49.000 They are expecting a very big and violent weekend in France with the yellow vests and what they are working on. 1.00

01:59:58.320 But they are now trying intentionally, openly trying to collapse the euro.

02:00:03.280 And they're asking anybody who supports them to take 20% of their money out of the European banks this weekend.

02:00:09.920 But that in cryptocurrency, if that would happen, which I don't think most people will do, if that would happen, it would cause possibly a collapse and a run on the banks in France and possibly in Europe.

02:00:23.100 Blah, blah, blah.

02:00:23.980 Let's talk about something important like what I learned on MSNBC last night.

02:00:26.820 And maybe we can get into this on Monday.

02:00:28.240 Yeah.

02:00:28.540 That apparently the president does not want people of color living in the United States.

02:00:33.280 Now, sure, that might seem like a claim with absolutely no evidence behind it.

02:00:38.300 However, a Democratic congressperson said it on MSNBC, so it has to be true.

02:00:44.940 See?

02:00:45.880 Well, I'm kind of a pinkish color.

02:00:48.760 And I bet he wouldn't mind if I moved away.

02:00:54.440 I'm just saying.

02:00:55.360 I'm just saying.

02:00:56.240 It's possible.

02:00:57.580 Either that or that's ridiculous, MSNBC.

02:01:01.920 Stop it.

02:01:02.860 That's ridiculous.

02:01:08.300 You're listening to Glenn Beck.

02:01:10.700 You're listening to Glenn Beck.

The Glenn Beck Program - January 11, 2019

Falsely Deranged？｜ Guest： Bill O’Reilly ｜ 1⧸11⧸19

Episode Stats

Summary

Transcript

The Glenn Beck Program - January 11, 2019

Falsely Deranged？ ｜ Guest： Bill O’Reilly ｜ 1⧸11⧸19

Episode Stats

Summary

Transcript

Falsely Deranged？｜ Guest： Bill O’Reilly ｜ 1⧸11⧸19