The Glenn Beck Program - Best of the Program ｜ Guest： Justin Haskins

00:00:00.000 Here's the thing. Relief Factor, you are very, very, you should be very grateful you got today's podcast because tomorrow, Jeffy and Pat, oof, oof, that could be ugly.

00:00:13.120 Well, people will need Relief Factor, but it won't soothe the aching head, but it will reduce inflammation, except in Jeffy.

00:00:22.320 So if you're in pain and you'd like to get your life back, please just try Relief Factor.

00:00:28.180 Go to ReliefFactor.com, that's ReliefFactor.com, or call 1-800-4-RELIEF, 1-800-4-RELIEF.

00:00:44.040 You're listening to The Best of the Glenn Beck Program.

00:00:51.180 So let me take you back to the scientific method.

00:00:55.780 That is a procedure that comes from the 17th century, and it is systematic observation, measurement, experiment, and then formulation.

00:01:12.480 You formulate a theory.

00:01:14.500 We have done this.

00:01:15.740 We look at the FBI.

00:01:17.420 We look at the action or inaction.

00:01:20.120 We measure it.

00:01:22.540 We look at it again from all sides.

00:01:25.600 And then you have to ask yourself, are they incompetent or are they doing this intentionally?

00:01:33.020 My theory is, my hypothesis is that they are corrupt.

00:01:40.960 Now, that theory could be wrong.

00:01:43.220 But we have to answer, and no one is answering.

00:01:49.280 Nobody is saying.

00:01:50.760 All they're saying is, that theory is wrong.

00:01:53.700 That's a conspiracy theory.

00:01:55.640 Okay.

00:01:55.980 Then you, would you ask if they're just really super incompetent?

00:02:02.540 Because they seem to be very, very good at rounding people up that, you know, have been in the hallway of an abortion clinic praying.

00:02:13.920 They're good at that.

00:02:15.100 They can get those guys right away.

00:02:17.000 They're trying to tell us that they're the greatest law enforcement agency in the world, but they can't figure out who brought cocaine in.

00:02:24.320 That doesn't match.

00:02:26.600 So, which is it?

00:02:29.440 Now, let's look at a couple of other things.

00:02:33.400 The DOJ, the same people, they've just quietly removed a significant portion of their page on child sex trafficking,

00:02:44.000 including information on the international sex trafficking of minors,

00:02:49.680 the domestic sex trafficking of minors,

00:02:53.540 and child victims of prostitution.

00:02:57.820 Now, why, at a time when we have more child sex trafficking than we've ever had before,

00:03:05.140 when Americans are the biggest buyers of children sex favors,

00:03:13.100 why would you take that down?

00:03:18.180 What prompted that?

00:03:22.220 Hmm.

00:03:24.300 Why,

00:03:25.200 why would you do that unless

00:03:28.760 you don't really think it's a problem?

00:03:32.840 You think this is just prostitution,

00:03:35.580 and prostitution is just a choice.

00:03:38.400 Is that the reason?

00:03:40.040 Because I have evidence that you say things like that all the time.

00:03:45.500 I have evidence that you're teaching our youngest children

00:03:50.820 that it is their choice to have sex at any time,

00:03:54.720 even with adults.

00:03:55.940 So, that's what your actions and your own words have shown me.

00:04:01.420 Now, you're removing important parts of sex trafficking of minors

00:04:06.860 from the Department of Justice website,

00:04:09.360 and at the same time,

00:04:11.880 you have the California Assembly,

00:04:15.240 the Senate Bill 14,

00:04:16.720 which would make the human trafficking of children

00:04:20.500 a serious felony.

00:04:24.440 They decided that they would block that.

00:04:28.200 The Democrats blocked the Senate Bill,

00:04:31.140 Senate Bill 14 in California,

00:04:33.040 that makes child trafficking

00:04:36.160 a serious felony.

00:04:38.500 Why would you do that?

00:04:43.720 Why would you do that?

00:04:46.460 And let me ask you another thing.

00:04:49.060 Are we truly a republic?

00:04:52.300 And here's why I ask that.

00:04:54.680 A republic hires representatives,

00:04:57.800 and they represent you.

00:05:00.760 When's the last time you felt

00:05:03.060 anyone was really truly representing you

00:05:05.940 that was working for real justice

00:05:09.740 to put the bad guys behind bars

00:05:12.860 and leave the good guys alone?

00:05:16.180 As they squash Senate Bill 14,

00:05:20.440 I just don't think it's a coincidence,

00:05:23.280 a mighty coincidence, maybe,

00:05:25.680 the DOJ is erasing

00:05:28.240 the child sex trafficking information

00:05:30.360 from their website.

00:05:31.280 And at the same time,

00:05:34.720 The Sounds of Freedom

00:05:36.460 is the number one movie in the country.

00:05:40.900 That's about rounding up predators

00:05:44.660 who are engaged in child sex trafficking.

00:05:49.420 And what does the media say?

00:05:51.380 They say that's a QAnon movie.

00:05:54.760 What does that mean?

00:05:58.320 QAnon, I think,

00:05:59.980 wasn't that the origin of Pizzagate?

00:06:02.340 So are they saying that child sex trafficking

00:06:04.680 is not really a problem?

00:06:06.760 Because that's what I'm now hearing

00:06:08.480 from the DOJ

00:06:09.560 and what I'm now hearing

00:06:11.100 from the Senate in California.

00:06:14.440 So what's going on here?

00:06:17.680 And are you being represented?

00:06:19.400 The Sounds of Freedom

00:06:23.200 is the number one movie in America.

00:06:32.960 What's happening?

00:06:33.780 It's really incredible.

00:06:39.100 You know, and you think part of me wonders

00:06:41.280 how much of it's just politics, right?

00:06:43.220 Where they're saying,

00:06:44.300 well, you're just trying to blame

00:06:48.020 child trafficking on Democrats

00:06:51.940 and their pizza restaurants.

00:06:53.480 And that's why we're skeptical of your movie,

00:06:55.760 which is hilarious.

00:06:57.440 Because, you know,

00:06:58.240 this is something that was,

00:06:59.820 I thought was really something

00:07:01.160 we could easily agree on.

00:07:02.780 There's very little out there that you can.

00:07:04.800 You'd think stopping child trafficking

00:07:06.340 would be part of that.

00:07:08.680 It's pretty easy.

00:07:09.760 It's amazing that one of our two major parties

00:07:11.840 seems to be taking,

00:07:13.520 they're zagging

00:07:14.500 when it comes to child trafficking.

00:07:17.120 Like, I thought we all were going to zig

00:07:18.540 and they're zagging

00:07:19.360 on the child trafficking thing.

00:07:21.540 I mean, Stu,

00:07:22.460 let's again use the scientific method.

00:07:24.480 They're for drag shows with children.

00:07:27.880 They are for exposing children

00:07:31.300 to all kinds of things

00:07:34.040 that no child,

00:07:35.600 let alone a child in the third grade,

00:07:38.440 should be exposed to.

00:07:40.160 They are mutilating our children.

00:07:43.740 And at the same time,

00:07:45.120 they're lowering the standards

00:07:47.080 for child sex trafficking

00:07:49.220 and calling a movie

00:07:51.480 that is breaking up sex traffickers

00:07:55.360 and putting them behind bars,

00:07:57.780 a conspiracy theory.

00:08:00.020 It's really fascinating.

00:08:01.360 I mean,

00:08:01.540 you know,

00:08:02.780 people have been posting,

00:08:03.900 like there's a report,

00:08:05.000 I think it was from 60 Minutes,

00:08:06.420 2014,

00:08:07.700 about Tim Ballard's organization

00:08:09.480 that is the foundation of this movie.

00:08:11.540 And it's just exactly

00:08:13.540 what you would think it would be, right?

00:08:14.840 It's like,

00:08:15.340 hey,

00:08:15.680 here are people trying to stop

00:08:16.860 child trafficking.

00:08:17.860 Isn't this great?

00:08:19.000 That's the way it was.

00:08:20.260 That was the tone back then.

00:08:21.720 And that has changed

00:08:22.840 in less than a decade.

00:08:24.280 Have you considered

00:08:26.240 your own role in this, Glenn?

00:08:29.200 In child sex trafficking?

00:08:30.800 Well, no.

00:08:31.840 No, I hope you don't have

00:08:33.380 to consider that one.

00:08:34.760 No, I'm talking about,

00:08:36.040 because the politics of it

00:08:37.620 is interesting.

00:08:38.780 And, you know,

00:08:39.360 I do think

00:08:39.920 what you point out

00:08:41.200 with all of that evidence

00:08:42.340 and all of the different ways

00:08:43.620 this is happening,

00:08:44.440 I do think that is

00:08:45.400 definitely a factor.

00:08:46.540 But part of it too,

00:08:47.920 I think,

00:08:48.320 is if they give credit

00:08:50.540 to Tim Ballard,

00:08:52.700 they are required then

00:08:54.040 to give credit to you,

00:08:56.520 to this audience,

00:08:58.060 for making a huge difference

00:09:00.240 and stopping all of these incidents

00:09:02.740 from happening around the world.

00:09:04.500 Like,

00:09:04.900 they don't like doing that.

00:09:06.580 They don't like pointing out.

00:09:07.880 Yeah, I think,

00:09:09.080 I don't think that

00:09:10.080 they have to give credit.

00:09:11.680 I think Tim Ballard

00:09:13.280 has been made

00:09:15.500 into a political figure.

00:09:18.320 And my attachment,

00:09:19.980 Donald Trump's attachment,

00:09:21.260 anybody's attachment to this,

00:09:23.020 and he reaches out

00:09:24.720 to Democrats all the time.

00:09:26.580 He doesn't care

00:09:27.960 who supports him.

00:09:29.920 You know,

00:09:30.220 I mean,

00:09:30.460 I think he would

00:09:31.040 if it was a drug cartel

00:09:32.140 or human traffickers.

00:09:33.100 But he doesn't care

00:09:34.440 who supports him politically.

00:09:37.340 He wants everybody.

00:09:38.300 This is the,

00:09:39.440 this is what I told him

00:09:41.220 when he started.

00:09:42.180 This may be

00:09:43.800 the only thing

00:09:45.120 that can unite

00:09:46.500 our country again.

00:09:48.080 Because everyone,

00:09:50.060 everyone knows

00:09:51.260 sex with children

00:09:53.280 is bad.

00:09:54.220 But I'm not sure

00:09:55.060 we know that anymore.

00:09:56.220 Yeah,

00:09:56.480 I don't think it's possible

00:09:57.360 to unite people

00:09:58.400 over this anymore.

00:09:59.140 I think that's gone.

00:10:00.480 But when you look at the,

00:10:02.380 you know,

00:10:02.660 Tim Ballard's been doing

00:10:03.560 interviews about this story,

00:10:05.100 and it's an amazing story,

00:10:07.140 not only just from

00:10:08.300 the child trafficking

00:10:09.500 part of this,

00:10:10.060 but also

00:10:10.620 the movie

00:10:12.180 angle of this.

00:10:13.400 This is a movie

00:10:13.820 that you,

00:10:14.320 I remember you telling me

00:10:15.200 you saw in like 2018,

00:10:17.220 years and years ago,

00:10:18.240 it was done.

00:10:19.520 And you're like,

00:10:19.800 this is great.

00:10:20.420 You're going to,

00:10:20.780 this is going to be

00:10:21.180 a huge movie.

00:10:22.080 And,

00:10:22.420 you know,

00:10:23.020 Disney shelved it

00:10:24.640 after merging

00:10:25.300 with 20th Century Fox,

00:10:26.400 shelved it,

00:10:26.900 and basically gave it away

00:10:27.940 for nothing,

00:10:28.500 and then have watched them,

00:10:30.480 watched this movie

00:10:31.360 kick the butt

00:10:32.060 of their $350 million

00:10:33.700 Harrison Ford vehicle.

00:10:35.780 Yep.

00:10:36.300 With Indiana Jones.

00:10:37.160 But listen to Tim Ballard,

00:10:38.580 and this is something that,

00:10:39.940 while everyone's

00:10:40.760 celebrating this movie,

00:10:41.400 it's important to understand

00:10:42.080 how this happened.

00:10:42.740 This is Tim Ballard

00:10:43.480 talking about the movie.

00:10:44.380 He said,

00:10:44.640 Glenn Beck,

00:10:45.520 bless his heart,

00:10:46.740 who raised the money

00:10:47.600 for us so that we could,

00:10:48.960 so that we could even

00:10:50.720 do the operation,

00:10:51.900 because I had no money

00:10:52.720 to do it.

00:10:53.500 In the end,

00:10:53.940 it was unbelievable.

00:10:55.160 We rescued over 120

00:10:56.480 women and children,

00:10:57.400 talking about the specific

00:10:58.360 operation.

00:10:59.500 Another quote from Tim,

00:11:01.540 during an interview

00:11:02.200 with Angel Studios

00:11:03.720 CEO,

00:11:04.520 Neil Harmon,

00:11:04.980 and Ballard said

00:11:05.600 that Glenn Beck

00:11:06.360 started to help him

00:11:07.280 raise money

00:11:07.820 as he was in the process

00:11:09.040 of leaving his job

00:11:10.120 as a special agent

00:11:10.940 with the Department

00:11:11.500 of Homeland Security.

00:11:12.880 He said that Beck

00:11:13.540 was even in the original

00:11:14.880 script for the film,

00:11:16.700 but the scene was cut

00:11:18.540 in order to fit everything in.

00:11:20.100 Now,

00:11:20.260 that is the smartest thing

00:11:21.300 maybe Tim Ballard's ever done

00:11:22.520 or whoever made that decision.

00:11:24.560 Get Glenn Beck

00:11:25.260 out of all movie scripts.

00:11:26.200 But who would they have

00:11:26.280 gotten to play me?

00:11:27.500 Who would they have

00:11:28.400 gotten to play me?

00:11:29.400 I mean,

00:11:30.380 Cary Grant's dead.

00:11:31.740 Chris Farley?

00:11:32.580 I don't know.

00:11:32.720 Shut up.

00:11:36.840 Bring him back.

00:11:38.020 Have you seen the documentary?

00:11:39.460 Somebody said to me

00:11:40.340 the other day,

00:11:41.120 have you seen the Netflix

00:11:42.520 documentary on this?

00:11:44.380 And I haven't.

00:11:45.520 No,

00:11:45.780 I haven't either.

00:11:46.520 Apparently,

00:11:47.060 I'm in it.

00:11:48.060 I don't even remember that.

00:11:50.620 That's weird.

00:11:51.320 I don't know if it's

00:11:52.140 old footage

00:11:54.540 or if it's

00:11:55.640 I don't know what it is.

00:11:56.940 I will say,

00:11:57.480 you know,

00:11:58.660 that's a good way

00:11:59.940 to be on Netflix.

00:12:02.060 Maybe,

00:12:02.540 you know,

00:12:02.700 fighting child trafficking.

00:12:03.720 I will say my Netflix

00:12:04.720 debut occurred

00:12:05.680 when I was shown

00:12:07.080 in a scene

00:12:07.480 about the Boston bombing.

00:12:09.060 Thanks a lot for that,

00:12:09.940 Glenn.

00:12:10.160 I appreciate that one.

00:12:11.420 I got about 50 texts

00:12:12.500 from people.

00:12:13.000 I'm watching this

00:12:13.780 Boston bombing documentary

00:12:15.180 and you're in it.

00:12:16.120 Oh,

00:12:16.600 great.

00:12:17.720 This is

00:12:18.300 working with Glenn Beck

00:12:19.960 brings you all sorts

00:12:21.120 of wonderful things.

00:12:22.320 but I mean,

00:12:24.540 I think it is important.

00:12:25.440 I don't mean to

00:12:26.160 reverse this here

00:12:27.220 a little bit here, Glenn,

00:12:27.940 but it's important

00:12:28.860 for people to understand

00:12:30.200 especially in this audience.

00:12:33.080 You guys are responsible

00:12:34.380 for this.

00:12:34.820 They did it.

00:12:35.720 This is all done

00:12:37.500 solely because

00:12:38.600 this audience

00:12:39.320 came together

00:12:40.420 and we have

00:12:41.800 a hundred examples

00:12:43.060 of this

00:12:43.680 including the evacuation

00:12:44.900 of people

00:12:45.620 from Afghanistan.

00:12:47.900 I mean,

00:12:48.080 we can just go on

00:12:48.760 and on and on and on.

00:12:49.980 The Christians

00:12:50.880 during the caliphate

00:12:52.180 all these things

00:12:54.120 that this audience

00:12:54.760 has done

00:12:55.460 and there will never be

00:12:57.140 a glowing documentary

00:12:59.300 about all the things

00:13:00.560 that the people

00:13:01.140 in this audience

00:13:01.740 have accomplished

00:13:02.380 but there should be.

00:13:03.840 I mean,

00:13:04.020 it's an incredible story

00:13:05.640 of people coming together

00:13:06.600 to listen to some boob

00:13:07.640 on the radio

00:13:08.240 and have done

00:13:09.840 so many important things

00:13:12.240 that have changed

00:13:13.300 the course of history.

00:13:14.560 I mean,

00:13:14.740 it really is

00:13:15.340 an amazing story.

00:13:17.640 Yeah,

00:13:17.840 I want you to know

00:13:18.920 there are things

00:13:20.660 that this audience

00:13:21.980 has done

00:13:22.620 that has been collected

00:13:24.500 by the Smithsonian

00:13:26.100 because they found it

00:13:28.080 of current significance.

00:13:32.640 Whether it will be kept

00:13:34.520 in a hundred years,

00:13:36.040 they will decide

00:13:37.060 in a hundred years.

00:13:38.420 But things

00:13:39.160 that you have done

00:13:40.480 are sitting

00:13:42.340 in one of those

00:13:43.900 boxes

00:13:46.360 at the end

00:13:47.120 of the good

00:13:48.140 Indiana Jones

00:13:49.140 and it's being preserved

00:13:52.540 because you've made

00:13:54.780 a huge difference.

00:13:56.160 Don't underestimate

00:13:57.020 the power

00:13:58.440 of the individual.

00:13:59.520 Don't underestimate

00:14:00.340 your power.

00:14:02.480 You have done

00:14:03.740 a lot of things

00:14:04.800 and one of them

00:14:05.840 is ESG.

00:14:08.140 We're going to talk

00:14:08.740 about that next hour.

00:14:09.720 What they admitted

00:14:12.720 yesterday

00:14:13.620 on ESG

00:14:15.380 is stunning

00:14:17.020 and it is

00:14:18.440 all because

00:14:19.620 of you.

00:14:22.080 Thank you.

00:14:23.780 It is an honor

00:14:24.980 to serve you.

00:14:28.100 Truly an honor

00:14:29.500 to serve you.

00:14:30.420 This is the best

00:14:36.300 of the Glenn Beck Program.

00:14:38.180 So Justin Haskins

00:14:39.320 is with us.

00:14:40.340 He is the co-author

00:14:41.280 of my new book

00:14:42.300 called Dark Future.

00:14:43.880 He is also

00:14:44.420 with the Heartland Institute.

00:14:45.960 He is a Socialism

00:14:47.220 Research Center Director.

00:14:50.660 And I don't know

00:14:51.900 if you know this,

00:14:53.100 Justin,

00:14:53.560 but it may change

00:14:54.960 the way I look

00:14:55.580 at our entire book.

00:14:56.680 I didn't know

00:14:57.560 that AI was two letters.

00:14:59.280 I had no idea.

00:15:00.420 You guys didn't cover

00:15:01.160 that in the book at all.

00:15:02.020 Wait a minute.

00:15:02.380 Wait a minute.

00:15:02.740 What?

00:15:03.380 It's two?

00:15:04.240 Yeah, two letters.

00:15:04.980 It's two.

00:15:05.680 And they stand for words.

00:15:06.960 They stand for words?

00:15:07.940 Yeah.

00:15:08.200 It's an acronym?

00:15:09.000 Wait a minute.

00:15:09.500 What?

00:15:10.320 The whole time it was.

00:15:11.800 Holy cow.

00:15:13.360 It's astounding.

00:15:14.140 Wow.

00:15:14.620 That's astounding.

00:15:15.240 It was staring us

00:15:16.180 right in the face.

00:15:17.140 Right in the face.

00:15:18.100 This is why we need

00:15:19.360 an AI czar.

00:15:21.360 Without an AI czar,

00:15:23.480 how will we ever know?

00:15:24.620 We wouldn't know that.

00:15:25.600 No.

00:15:26.320 Can you imagine

00:15:27.400 being one of those people

00:15:29.380 that are deeply involved

00:15:32.500 in AI,

00:15:33.680 how insulting it is

00:15:36.020 to sit there in a room

00:15:38.120 being moderated

00:15:40.040 by the dumbest person

00:15:43.240 in America?

00:15:44.840 It is quite shocking

00:15:46.260 that she was picked.

00:15:47.840 She was picked

00:15:48.860 for this position.

00:15:50.220 She really is.

00:15:51.000 I mean,

00:15:51.380 for those who don't know,

00:15:52.480 I wasn't joking.

00:15:53.240 She is the AI czar

00:15:54.760 for the Biden administration.

00:15:56.480 That's official duty

00:15:58.160 of Kamala Harris.

00:15:59.720 And of all the people

00:16:01.220 they could have chosen,

00:16:02.440 of all the people,

00:16:03.720 I mean,

00:16:04.280 she is literally

00:16:05.200 the worst person

00:16:06.540 that they could have

00:16:07.160 possibly picked.

00:16:08.000 And as you just pointed out,

00:16:09.980 it's an insult

00:16:11.440 to all of these people

00:16:13.100 who pride themselves

00:16:14.180 on being deeply invested

00:16:15.640 in this.

00:16:16.000 They already believe

00:16:16.980 that most Americans

00:16:17.940 don't really understand

00:16:18.900 this technology.

00:16:19.540 And then you pick

00:16:20.320 the dumbest person

00:16:22.100 in the universe

00:16:23.260 to be the face

00:16:24.380 of this for your administration?

00:16:26.580 Is it possible

00:16:27.500 that they misunderstood

00:16:29.260 what artificial intelligence means

00:16:31.660 and they've heard

00:16:32.580 her speeches

00:16:33.380 when she's given

00:16:35.200 the words to speak,

00:16:36.480 she sounds intelligent,

00:16:37.740 and maybe they thought

00:16:38.940 that's artificial intelligence.

00:16:41.060 Oh my gosh.

00:16:41.620 She's so dumb

00:16:43.200 that when we give her words,

00:16:45.280 that's artificial intelligence

00:16:46.820 for you.

00:16:47.360 Yeah.

00:16:48.040 Yeah.

00:16:48.860 It is.

00:16:49.520 It's bad.

00:16:50.500 It's bad.

00:16:51.340 And what they're talking

00:16:52.440 about now is woke AI.

00:16:57.200 Gee, that sounds kind of bad,

00:16:59.000 Justin, doesn't it?

00:17:00.140 Yeah.

00:17:00.420 We talk about this a lot

00:17:01.820 in the book.

00:17:02.480 There's a ton of information

00:17:03.660 in the book,

00:17:04.380 not information

00:17:05.520 from Kamala Harris.

00:17:07.240 We, you know,

00:17:08.260 there just is no reason

00:17:09.740 for that.

00:17:10.280 It was too scientific.

00:17:11.360 It was too scientific.

00:17:12.520 Too scientific.

00:17:12.840 It was too scientific

00:17:13.860 for the book Dark Future.

00:17:15.580 Right.

00:17:15.880 But we knew,

00:17:17.360 as soon as we started

00:17:18.020 learning about ESG,

00:17:19.260 we've been talking

00:17:19.860 about this now

00:17:20.440 for a couple of years

00:17:21.540 behind the scenes.

00:17:22.820 How if you're embedding

00:17:24.380 ESG into everything,

00:17:26.280 embedding ESG

00:17:27.300 into artificial intelligence

00:17:29.120 would be a really smart

00:17:30.800 thing to do

00:17:31.300 if you're the elites.

00:17:32.080 Because if you control

00:17:33.420 artificial intelligence,

00:17:35.460 then you have more power,

00:17:37.680 that you'll be in control

00:17:38.640 of all of society soon.

00:17:40.340 And so one of the,

00:17:41.320 as dumb as these statements

00:17:42.800 were from Kamala Harris,

00:17:45.260 I want to say

00:17:46.200 she did tip herself off.

00:17:48.180 This is something

00:17:48.640 we talk about in the book.

00:17:49.580 The Biden administration

00:17:50.360 wants to make AI woke.

00:17:52.080 And she essentially says this.

00:17:53.880 She says,

00:17:54.580 and so the machine is taught.

00:17:57.400 It's taught.

00:17:58.100 We're teaching the machine.

00:17:59.580 Okay.

00:18:00.000 And part of the issue here

00:18:01.580 is what information

00:18:03.040 is going into the machine

00:18:05.300 that will then determine,

00:18:07.400 so she's talking about

00:18:08.200 data and programming,

00:18:10.100 and we can predict then

00:18:11.700 if we think about

00:18:13.080 what information is going in,

00:18:15.040 meaning the data

00:18:15.700 and programming,

00:18:16.780 what then will be produced

00:18:18.360 in terms of decisions

00:18:19.880 and opinions,

00:18:21.080 opinions,

00:18:21.840 that may be made

00:18:22.900 through that process.

00:18:24.340 So if you break

00:18:25.320 all that down,

00:18:26.160 essentially what she's saying

00:18:27.420 is if we can put

00:18:28.660 the right information in

00:18:30.880 and we can program

00:18:31.920 in the right way,

00:18:32.960 we control it.

00:18:34.340 That's what she's trying to say.

00:18:35.840 She just can't even

00:18:36.640 do that effectively.

00:18:37.680 We control the outcome.

00:18:38.840 Yes.

00:18:39.280 We control the outcome.

00:18:40.800 That's exactly

00:18:41.800 what she's,

00:18:42.680 what she's talking about.

00:18:44.140 Let me play something

00:18:45.680 and it is really important

00:18:48.540 that you listen

00:18:49.500 to the words

00:18:50.360 that Maxine Waters said

00:18:52.600 yesterday about ESG.

00:18:55.120 Now, remind you,

00:18:56.840 Maxine Waters

00:18:57.720 was one of the people

00:18:59.660 jumping up and down

00:19:00.720 saying ESG

00:19:02.000 is a conspiracy theory

00:19:03.820 that it doesn't affect anyone.

00:19:06.600 It's just a way

00:19:07.660 to look at investments.

00:19:09.480 That was her then.

00:19:10.900 Now listen to what

00:19:12.400 she said yesterday.

00:19:14.140 It's become a dirty word

00:19:15.580 for corporate America.

00:19:16.920 It's gotten so politicized.

00:19:19.540 It certainly has

00:19:20.760 gotten politicized

00:19:21.820 and it's unfortunate

00:19:23.000 because it's inevitable

00:19:24.600 that everyone

00:19:26.220 is going to have

00:19:27.220 to participate

00:19:27.860 in dealing with

00:19:29.360 the environmental crisis,

00:19:31.380 social activity,

00:19:33.260 and of course,

00:19:34.480 corporate governance.

00:19:36.020 And so even if

00:19:38.060 these attempts

00:19:39.120 to deny

00:19:40.980 or to delay

00:19:42.220 are taking place

00:19:43.300 in the final analysis,

00:19:46.680 we're going to have

00:19:47.740 to have ESG.

00:19:49.860 And so, yes,

00:19:51.120 we're paying a lot

00:19:52.040 of attention to it.

00:19:53.420 We're going to fight back

00:19:54.840 against these attempts

00:19:56.120 to deny

00:19:57.000 or destroy

00:19:58.240 the whole idea

00:20:00.060 of environmental,

00:20:01.940 social,

00:20:02.620 and governance.

00:20:03.300 But we have to do it

00:20:05.600 in order to save

00:20:06.500 this planet.

00:20:09.100 So it was a conspiracy.

00:20:11.880 Now she's saying

00:20:13.160 everyone

00:20:14.200 will have

00:20:16.240 to comply.

00:20:18.020 So now

00:20:19.240 it's top down

00:20:20.800 and everything

00:20:21.860 we've been telling you

00:20:22.980 about it

00:20:23.480 is clearly true.

00:20:25.140 and couple that

00:20:27.600 with what

00:20:28.220 Kamala said

00:20:29.260 about AI.

00:20:30.860 That's your

00:20:31.960 automatic

00:20:32.860 24-7

00:20:34.140 policeman.

00:20:35.800 And we go

00:20:36.540 into this

00:20:37.260 in Dark Future.

00:20:38.380 We talk about

00:20:39.320 how exactly

00:20:40.580 AI

00:20:41.940 can monitor

00:20:43.220 your water

00:20:44.120 usage.

00:20:46.120 All of the

00:20:47.180 things that you

00:20:48.300 say

00:20:49.000 in your home,

00:20:50.860 online,

00:20:51.940 all of the

00:20:52.820 devices that are

00:20:53.780 in your home

00:20:54.380 currently

00:20:55.040 that are

00:20:56.080 mapping you,

00:20:57.400 listening to you,

00:20:58.780 gathering information.

00:21:00.700 And that's just

00:21:01.660 for commercial purposes.

00:21:03.440 When ESG

00:21:04.440 scores are in,

00:21:05.900 you have

00:21:06.760 China

00:21:07.640 and their

00:21:08.500 lockdown system.

00:21:10.160 It is

00:21:10.980 a social

00:21:11.740 credit score.

00:21:13.080 It is

00:21:14.000 the Black

00:21:14.680 Mirror episode.

00:21:16.440 If you haven't

00:21:16.880 seen that,

00:21:18.220 then you don't

00:21:19.120 know what is

00:21:19.700 possible.

00:21:20.720 You watch

00:21:21.500 that and go,

00:21:22.860 oh,

00:21:23.180 you watch

00:21:24.460 Mission Impossible,

00:21:26.400 the new one

00:21:27.180 that's out in

00:21:27.660 the movie

00:21:27.960 theaters.

00:21:29.800 That's

00:21:30.240 the

00:21:31.380 there's so

00:21:33.060 many holes

00:21:33.720 in that movie.

00:21:34.580 If you know

00:21:35.340 about

00:21:35.900 ASI,

00:21:37.700 artificial

00:21:38.160 superintelligence,

00:21:39.160 so many holes

00:21:39.820 in that movie,

00:21:40.380 but at least

00:21:41.560 it gives you

00:21:42.640 a basic

00:21:43.620 understanding

00:21:44.480 of what

00:21:45.660 we're talking

00:21:46.260 about in

00:21:47.160 Dark Future.

00:21:47.860 that is

00:21:49.340 your future.

00:21:51.100 Yes.

00:21:51.700 And they're

00:21:52.360 being so

00:21:53.460 open about it.

00:21:55.360 It's not,

00:21:56.080 you don't have

00:21:56.840 to speculate.

00:21:57.640 I mean,

00:21:57.780 we just read

00:21:58.480 that quote

00:21:58.860 from Kamala

00:21:59.720 Harris.

00:22:00.140 There was a

00:22:00.460 report that

00:22:00.980 just came out,

00:22:02.080 this was maybe

00:22:02.760 a week or two

00:22:03.980 ago,

00:22:04.740 from a

00:22:05.920 institutional

00:22:07.140 shareholder

00:22:07.920 services.

00:22:09.240 Okay,

00:22:09.420 so these are

00:22:09.980 the people

00:22:10.480 who are,

00:22:11.080 they're involved

00:22:11.620 in proxy

00:22:12.440 voting on

00:22:13.920 Wall Street.

00:22:14.520 You don't need

00:22:15.380 to know

00:22:15.700 the details

00:22:16.240 of that,

00:22:16.580 but basically

00:22:17.120 these are the

00:22:17.960 people BlackRock

00:22:18.980 goes to

00:22:19.760 for advice

00:22:20.740 on how people

00:22:22.060 should vote

00:22:22.580 in these

00:22:22.920 shareholder

00:22:23.300 meetings.

00:22:24.000 They produced

00:22:24.880 a report

00:22:25.320 about

00:22:25.700 discrimination

00:22:26.280 in artificial

00:22:27.200 intelligence

00:22:27.880 and the

00:22:28.580 dangers

00:22:29.020 that that

00:22:29.560 might cause,

00:22:30.420 discrimination

00:22:30.780 with artificial

00:22:31.480 intelligence.

00:22:32.500 And they

00:22:32.740 said this

00:22:33.300 in their

00:22:33.560 report,

00:22:33.920 a primary

00:22:34.440 way to

00:22:34.980 improve,

00:22:35.320 so this

00:22:35.560 is the

00:22:36.200 kind of

00:22:36.420 thing

00:22:36.520 they're

00:22:36.660 telling

00:22:36.880 BlackRock,

00:22:37.480 the largest

00:22:37.880 shareholder

00:22:38.340 in the

00:22:38.700 world,

00:22:39.460 a primary

00:22:39.940 way to

00:22:40.400 improve

00:22:40.760 AI model

00:22:41.640 fairness

00:22:42.080 is the

00:22:42.980 specification

00:22:43.620 of

00:22:44.280 fairness

00:22:44.880 aware

00:22:45.700 algorithms.

00:22:47.140 This

00:22:47.240 means that

00:22:47.760 in addition

00:22:48.180 to other

00:22:48.620 objectives

00:22:49.080 such as

00:22:49.460 predicting

00:22:49.740 high job

00:22:50.320 performance,

00:22:50.880 user engagement

00:22:51.600 or other

00:22:52.060 successful

00:22:52.520 outcomes,

00:22:53.340 the model

00:22:53.800 also factors

00:22:54.980 in fairness

00:22:56.080 metrics such

00:22:57.540 as gender

00:22:58.360 balance.

00:22:59.520 These

00:22:59.740 constraints

00:23:00.280 encourage

00:23:00.960 predictions

00:23:01.600 that are

00:23:02.360 equitable

00:23:03.020 across

00:23:03.640 certain

00:23:04.100 protected

00:23:04.680 attributes,

00:23:07.560 thereby

00:23:07.860 mitigating

00:23:08.860 discrimination.

00:23:10.440 And then

00:23:10.640 it goes

00:23:10.960 on with

00:23:11.660 all sorts

00:23:12.120 of examples

00:23:12.720 of how

00:23:13.500 if you

00:23:14.160 manipulate

00:23:14.680 the

00:23:15.060 data

00:23:15.480 that

00:23:15.740 goes

00:23:16.040 in

00:23:16.480 or

00:23:17.060 you

00:23:17.580 manipulate

00:23:17.880 the

00:23:18.420 AI

00:23:18.700 system

00:23:19.100 or

00:23:19.460 you

00:23:19.680 manipulate

00:23:20.100 the

00:23:20.380 code

00:23:20.800 of

00:23:21.060 the

00:23:21.220 algorithm

00:23:21.660 itself

00:23:22.260 in the

00:23:22.800 AI

00:23:23.060 system,

00:23:23.520 you can

00:23:24.320 control

00:23:24.720 the outcome

00:23:25.360 to make

00:23:25.920 it more

00:23:26.400 equitable.

00:23:27.460 These are

00:23:27.760 the most

00:23:28.100 powerful,

00:23:29.040 influential

00:23:29.400 people in

00:23:29.980 the world

00:23:30.420 who are

00:23:31.380 telling the

00:23:32.320 biggest

00:23:32.580 shareholders

00:23:33.040 in the

00:23:33.420 world,

00:23:33.720 this is

00:23:34.100 what we

00:23:34.480 need to

00:23:34.840 do

00:23:35.000 with

00:23:35.180 AI.

00:23:36.020 And

00:23:36.080 then

00:23:36.260 BlackRock

00:23:36.880 and Vanguard

00:23:37.440 and State

00:23:38.040 Street

00:23:38.220 Global

00:23:38.500 Advisors

00:23:38.940 and people

00:23:39.320 like that

00:23:39.780 then go to

00:23:40.520 the corporations

00:23:41.180 and say

00:23:42.160 if you're

00:23:42.780 using

00:23:43.080 AI

00:23:43.460 it needs

00:23:44.120 to be

00:23:44.520 equitable

00:23:45.020 and fair

00:23:45.700 and you

00:23:46.000 need to

00:23:46.260 do these

00:23:46.600 kinds of

00:23:46.980 things.

00:23:47.600 That's how

00:23:48.120 all this

00:23:48.680 stuff works

00:23:49.600 and if

00:23:50.160 you're not

00:23:50.460 paying

00:23:50.740 attention

00:23:51.160 to

00:23:51.500 institutional

00:23:52.400 shareholder

00:23:53.500 services

00:23:54.100 and only

00:23:55.260 nerds like

00:23:56.080 me actually

00:23:56.900 are reading

00:23:57.520 these freaking

00:23:58.120 reports

00:23:58.620 then you

00:23:59.360 would never

00:23:59.800 know

00:24:00.340 that this

00:24:00.820 is what's

00:24:01.200 going on

00:24:01.640 and that's

00:24:02.280 why Dark

00:24:02.960 Future

00:24:03.240 is so

00:24:03.680 important

00:24:04.100 because

00:24:04.540 we

00:24:05.180 give you

00:24:06.100 all of

00:24:06.500 that

00:24:06.640 information

00:24:07.140 we make

00:24:07.740 it digestible

00:24:08.540 and understandable

00:24:09.280 you don't

00:24:10.020 have to

00:24:10.620 be

00:24:11.000 a tech

00:24:11.940 expert

00:24:12.500 okay

00:24:13.140 Glenn

00:24:13.500 is a

00:24:13.980 futurist

00:24:14.800 he's been

00:24:15.060 a futurist

00:24:15.540 a long

00:24:15.820 time

00:24:16.140 he knows

00:24:16.460 a lot

00:24:16.700 about

00:24:16.900 technology

00:24:17.480 I do

00:24:18.100 not

00:24:18.480 I came

00:24:19.260 into this

00:24:19.640 as a

00:24:19.940 moron

00:24:20.480 and I'm

00:24:21.660 leaving it

00:24:22.280 as a

00:24:22.800 slightly

00:24:23.080 smarter

00:24:23.620 moron

00:24:24.200 and I'm

00:24:24.660 and everyone

00:24:25.740 else who's

00:24:26.240 a moron

00:24:26.580 who reads

00:24:26.860 this book

00:24:27.180 will feel

00:24:27.460 the same

00:24:27.840 way

00:24:28.060 I think

00:24:28.480 I will

00:24:30.360 tell you

00:24:30.880 that when

00:24:31.460 we first

00:24:32.000 discussed

00:24:32.400 this

00:24:32.660 and I

00:24:32.900 said

00:24:33.260 I want

00:24:33.760 to discuss

00:24:34.320 AI

00:24:34.620 and future

00:24:35.460 technology

00:24:36.120 your eyes

00:24:37.140 got really

00:24:37.600 big like

00:24:38.220 oh

00:24:38.940 crap

00:24:39.360 I don't

00:24:39.940 know

00:24:40.480 any

00:24:40.840 of that

00:24:41.400 stuff

00:24:41.820 and

00:24:43.360 the nice

00:24:44.680 thing is

00:24:45.340 is we

00:24:45.920 cover

00:24:46.340 everything

00:24:47.020 in such

00:24:49.000 a way

00:24:49.420 because we're

00:24:50.040 co-writers

00:24:50.560 of this

00:24:51.180 that I

00:24:52.480 know

00:24:52.940 what I

00:24:53.440 wanted

00:24:53.840 to address

00:24:54.780 and

00:24:55.760 Justin

00:24:56.440 took it

00:24:57.100 and made

00:24:57.640 sure that

00:24:58.200 it wasn't

00:24:58.800 real wonky

00:24:59.720 that everyone

00:25:00.600 can understand

00:25:01.600 it

00:25:02.040 because

00:25:03.240 when you've

00:25:05.420 watched it

00:25:06.000 as long

00:25:06.360 as I

00:25:06.720 have

00:25:07.040 you tend

00:25:08.220 to

00:25:09.060 just

00:25:10.420 expect

00:25:11.140 that

00:25:11.360 everybody

00:25:11.860 understands

00:25:12.660 everything

00:25:13.080 so we

00:25:13.920 take it

00:25:14.460 from the

00:25:14.980 very beginning

00:25:15.700 in bite

00:25:16.280 size

00:25:16.760 portions

00:25:17.800 so you

00:25:18.800 really can

00:25:19.680 understand it

00:25:20.280 by the end

00:25:20.820 of the book

00:25:21.440 you're there

00:25:22.480 I mean

00:25:23.540 when I

00:25:23.940 did the

00:25:24.940 audio book

00:25:27.260 which by the

00:25:27.780 way

00:25:28.040 I don't

00:25:28.880 know why

00:25:29.600 the

00:25:30.160 I think

00:25:30.800 the audio

00:25:31.160 book comes

00:25:31.640 out in a

00:25:31.980 couple of

00:25:32.380 weeks

00:25:32.580 but I

00:25:32.900 don't

00:25:33.100 know why

00:25:33.500 Kindle

00:25:33.900 isn't

00:25:34.260 other than

00:25:34.920 I think

00:25:35.860 Amazon

00:25:36.320 hasn't put

00:25:37.320 the Kindle

00:25:38.000 book up

00:25:38.480 yet

00:25:38.780 and it

00:25:39.560 kind of

00:25:40.400 smokes me

00:25:40.940 kind of

00:25:41.460 smokes me

00:25:41.920 but

00:25:43.220 it's

00:25:44.420 the Kindle

00:25:45.500 version

00:25:45.840 or the

00:25:46.460 digital

00:25:47.020 version

00:25:47.380 is not

00:25:47.820 there

00:25:48.080 I'm kind

00:25:48.580 of glad

00:25:49.000 in a way

00:25:49.580 because if

00:25:50.700 you're going

00:25:50.920 to buy

00:25:51.180 the book

00:25:51.640 you should

00:25:52.180 have a

00:25:52.540 digital

00:25:52.860 or you

00:25:53.240 should

00:25:53.440 have a

00:25:54.080 print

00:25:54.560 hard copy

00:25:55.660 of it

00:25:56.000 but I

00:25:56.720 generally

00:25:57.460 read

00:25:58.040 digitally

00:25:59.000 and then

00:25:59.600 keep the

00:26:00.240 hard copy

00:26:00.840 myself

00:26:01.360 but

00:26:02.760 anyway

00:26:03.520 that's all

00:26:04.340 coming out

00:26:04.920 and when

00:26:05.880 I'm reading

00:26:06.420 it and

00:26:07.180 where we're

00:26:07.620 recording it

00:26:08.300 a few weeks

00:26:09.040 ago

00:26:09.340 the people

00:26:10.540 that I

00:26:10.860 was recording

00:26:11.440 it with

00:26:12.000 are

00:26:13.000 producers

00:26:14.580 of different

00:26:15.860 things on

00:26:16.760 the Blaze

00:26:18.100 TV and

00:26:19.100 Mercury

00:26:20.400 and as

00:26:22.140 we were

00:26:22.420 sitting there

00:26:23.020 they listen

00:26:24.200 to the show

00:26:24.660 every day

00:26:25.140 but they

00:26:25.520 didn't understand

00:26:26.380 they told me

00:26:27.000 you know

00:26:27.480 halfway through

00:26:28.020 I didn't

00:26:28.980 really understand

00:26:29.880 what you

00:26:30.200 were talking

00:26:30.620 about

00:26:30.860 I didn't

00:26:31.280 know how

00:26:31.720 all of

00:26:32.160 that worked

00:26:32.640 I didn't

00:26:33.200 I didn't

00:26:33.860 connect

00:26:34.380 all of

00:26:34.860 the dots

00:26:35.440 and that

00:26:36.860 is what

00:26:37.320 this book

00:26:37.780 will help

00:26:38.220 you do

00:26:38.700 and it

00:26:39.920 is vital

00:26:40.800 because this

00:26:41.880 is the

00:26:42.780 time

00:26:43.340 that our

00:26:44.580 future

00:26:45.120 is being

00:26:45.980 decided

00:26:46.520 this is

00:26:47.120 way more

00:26:48.020 than ESG

00:26:49.160 you can

00:26:50.060 find it

00:26:50.460 at

00:26:50.600 glensnewbook.com

00:26:52.060 or wherever

00:26:52.780 books are

00:26:53.540 sold

00:26:54.020 it's called

00:26:55.140 Dark Future

00:26:56.280 the best

00:26:58.420 of the

00:26:58.660 Glenn Beck

00:26:59.060 program

00:26:59.520 I want to

00:27:00.940 tie a few

00:27:01.420 things

00:27:01.900 together

00:27:02.580 first of

00:27:04.100 all

00:27:04.380 go back

00:27:05.340 to

00:27:05.960 Maxine

00:27:07.200 Waters

00:27:07.520 and what

00:27:08.080 she said

00:27:08.640 about ESG

00:27:10.120 yesterday

00:27:11.180 listen

00:27:11.740 it's

00:27:13.580 become a

00:27:14.000 dirty

00:27:14.220 word

00:27:14.680 for

00:27:15.080 corporate

00:27:15.440 America

00:27:15.840 it's

00:27:16.080 gotten

00:27:16.260 so

00:27:16.660 politicized

00:27:17.640 it

00:27:19.200 certainly

00:27:19.500 has

00:27:19.840 gotten

00:27:20.120 politicized

00:27:20.920 and it's

00:27:21.560 unfortunate

00:27:22.060 because it's

00:27:23.120 inevitable

00:27:23.640 that everyone

00:27:25.300 is going to

00:27:26.080 have to

00:27:26.440 participate

00:27:26.940 in dealing

00:27:28.040 with

00:27:28.360 okay

00:27:28.740 mandatory

00:27:30.620 it will

00:27:31.240 be

00:27:31.380 mandatory

00:27:31.820 you

00:27:32.380 will

00:27:33.100 have

00:27:33.760 to

00:27:34.020 participate

00:27:34.680 in

00:27:35.460 ESG

00:27:36.320 so

00:27:36.940 everything

00:27:37.280 they said

00:27:37.800 about a

00:27:38.120 conspiracy

00:27:38.540 theory

00:27:39.000 is now

00:27:40.060 clearly

00:27:40.800 off the

00:27:41.360 table

00:27:41.680 they're

00:27:42.020 saying

00:27:42.420 it

00:27:42.640 so

00:27:43.320 you

00:27:43.560 will

00:27:43.860 have

00:27:44.160 to

00:27:44.340 deal

00:27:44.700 with

00:27:45.080 a

00:27:45.340 social

00:27:45.840 credit

00:27:46.260 score

00:27:46.800 now

00:27:47.540 I

00:27:47.700 want

00:27:47.900 you

00:27:48.000 to

00:27:48.140 listen

00:27:48.420 to

00:27:48.660 what

00:27:49.060 Kamala

00:27:50.600 Harris

00:27:50.980 said

00:27:51.460 at

00:27:52.160 the

00:27:52.420 AI

00:27:52.860 meeting

00:27:53.400 yesterday

00:27:54.180 AI

00:27:55.180 is

00:27:55.500 kind

00:27:55.700 of

00:27:55.820 a

00:27:55.960 fancy

00:27:56.340 thing

00:27:56.660 it's

00:27:56.860 first

00:27:57.120 of

00:27:57.320 all

00:27:57.340 it's

00:27:57.440 two

00:27:57.600 letters

00:27:57.800 it

00:27:58.600 means

00:27:58.940 artificial

00:27:59.420 intelligence

00:28:00.420 but

00:28:01.140 ultimately

00:28:02.560 what it

00:28:03.040 is

00:28:03.240 it's

00:28:03.560 about

00:28:03.820 machine

00:28:04.320 learning

00:28:04.720 and

00:28:06.400 so

00:28:06.740 the

00:28:07.020 machine

00:28:07.500 is

00:28:08.400 taught

00:28:09.020 and

00:28:10.420 part

00:28:10.760 of

00:28:10.940 the

00:28:11.200 issue

00:28:11.580 here

00:28:12.040 is

00:28:12.340 what

00:28:12.660 information

00:28:13.500 is

00:28:13.780 going

00:28:14.180 into

00:28:14.680 the

00:28:14.920 machine

00:28:15.360 that

00:28:16.600 will

00:28:16.800 then

00:28:17.120 determine

00:28:17.720 and

00:28:18.800 we

00:28:19.240 can

00:28:19.460 predict

00:28:19.880 then

00:28:20.220 if

00:28:20.440 we

00:28:20.580 think

00:28:20.840 about

00:28:21.160 what

00:28:21.660 information

00:28:22.700 is

00:28:23.100 going

00:28:23.320 in

00:28:23.600 what

00:28:24.320 she's

00:28:25.740 saying

00:28:26.060 here

00:28:26.420 is

00:28:26.980 that

00:28:27.460 we're

00:28:29.000 going

00:28:29.260 to

00:28:29.500 teach

00:28:30.020 AI

00:28:30.560 about

00:28:32.240 ESG

00:28:33.680 we're

00:28:34.740 going

00:28:34.900 to

00:28:35.020 talk

00:28:35.360 to

00:28:35.680 the

00:28:36.340 computer

00:28:36.860 and

00:28:37.280 teach

00:28:37.880 the

00:28:38.160 algorithms

00:28:38.840 to

00:28:39.660 look

00:28:40.200 for

00:28:40.580 equity

00:28:41.120 to

00:28:41.600 look

00:28:41.800 for

00:28:42.000 social

00:28:42.440 justice

00:28:42.940 to

00:28:43.380 look

00:28:43.640 for

00:28:43.920 environmental

00:28:44.700 wrongs

00:28:45.740 to

00:28:47.040 look

00:28:47.560 at

00:28:47.880 governance

00:28:48.820 now

00:28:49.540 remember

00:28:50.100 Maxine

00:28:52.360 Waters

00:28:52.740 just said

00:28:53.380 this is

00:28:53.820 inevitable

00:28:54.380 everyone

00:28:55.160 will

00:28:55.700 be

00:28:56.000 forced

00:28:56.540 you'll

00:28:56.880 have

00:28:57.320 to

00:28:57.560 deal

00:28:57.840 with

00:28:58.080 it

00:28:58.280 now

00:28:59.280 they're

00:28:59.560 talking

00:28:59.920 about

00:29:00.240 AI

00:29:00.660 making

00:29:01.800 that

00:29:02.300 an

00:29:02.620 all

00:29:03.020 seeing

00:29:03.540 all

00:29:04.000 knowing

00:29:04.600 policeman

00:29:06.040 so

00:29:07.660 now

00:29:08.000 what

00:29:08.300 is

00:29:08.460 the

00:29:08.660 punishment

00:29:09.160 let

00:29:10.140 me

00:29:10.280 bring

00:29:10.560 you

00:29:10.780 to

00:29:11.160 central

00:29:11.800 bank

00:29:12.200 digital

00:29:12.760 currency

00:29:13.380 this

00:29:14.340 is

00:29:14.580 from

00:29:15.040 page

00:29:15.620 154

00:29:17.240 of

00:29:17.840 dark

00:29:18.220 future

00:29:18.700 now

00:29:19.680 tie

00:29:20.100 all

00:29:20.340 these

00:29:20.620 things

00:29:20.920 together

00:29:21.300 listen

00:29:21.640 carefully

00:29:22.080 when

00:29:22.340 people

00:29:22.620 think

00:29:22.920 of

00:29:23.080 digital

00:29:23.400 currencies

00:29:23.940 they

00:29:24.760 usually

00:29:25.220 think

00:29:25.640 of

00:29:25.820 decentralized

00:29:26.780 blockchain

00:29:27.660 currencies

00:29:28.700 like

00:29:29.160 those

00:29:29.420 discussed

00:29:29.880 earlier

00:29:30.220 in

00:29:30.360 this

00:29:30.520 chapter

00:29:30.880 but

00:29:31.520 a

00:29:31.700 US

00:29:32.160 central

00:29:32.600 bank

00:29:33.100 digital

00:29:33.680 currency

00:29:34.300 would

00:29:35.100 likely

00:29:35.620 be

00:29:35.980 completely

00:29:36.620 different

00:29:37.280 especially

00:29:38.060 if

00:29:38.660 it's

00:29:38.860 developed

00:29:39.240 under

00:29:39.540 the

00:29:39.720 Biden

00:29:39.960 administration

00:29:40.600 or

00:29:41.240 another

00:29:41.560 leftist

00:29:42.160 White

00:29:42.440 House

00:29:42.760 why

00:29:44.120 because

00:29:46.160 they're

00:29:46.560 going

00:29:46.820 to

00:29:47.060 teach

00:29:47.500 it

00:29:47.780 although

00:29:48.660 developers

00:29:49.320 of

00:29:49.720 CBDC

00:29:50.520 promise

00:29:51.140 these

00:29:51.520 new

00:29:51.860 currencies

00:29:52.400 will

00:29:52.760 be

00:29:52.940 safe

00:29:53.500 and

00:29:54.020 designed

00:29:54.460 to

00:29:54.700 protect

00:29:55.200 some

00:29:56.100 privacy

00:29:57.000 rights

00:29:57.600 footnote

00:29:58.360 373

00:30:00.220 one

00:30:01.240 of

00:30:01.400 the

00:30:01.540 primary

00:30:01.980 appeals

00:30:02.500 of

00:30:02.700 CBDC

00:30:03.480 is

00:30:04.040 from

00:30:04.340 the

00:30:04.480 perspective

00:30:04.880 of

00:30:05.120 governments

00:30:05.560 is

00:30:06.220 that

00:30:06.360 it

00:30:06.480 would

00:30:06.700 be

00:30:06.960 programmable

00:30:08.040 meaning

00:30:08.720 it

00:30:09.140 could

00:30:09.320 be

00:30:09.540 designed

00:30:10.040 to

00:30:10.380 act

00:30:10.840 in

00:30:11.080 a

00:30:11.300 certain

00:30:11.620 way

00:30:12.160 based

00:30:13.040 on

00:30:13.400 predetermined

00:30:14.400 criteria

00:30:15.160 so

00:30:16.260 tie

00:30:16.600 this

00:30:16.900 in

00:30:17.260 you're

00:30:17.980 going

00:30:18.140 to

00:30:18.240 have

00:30:18.500 an

00:30:18.660 ESG

00:30:19.380 score

00:30:19.920 it's

00:30:21.500 going

00:30:21.680 to

00:30:21.760 be

00:30:21.940 tied

00:30:22.360 with

00:30:22.840 AI

00:30:23.460 watching

00:30:24.220 you

00:30:24.660 and

00:30:25.420 now

00:30:25.780 a

00:30:26.100 digital

00:30:26.820 currency

00:30:27.480 that

00:30:28.300 is

00:30:28.500 responsive

00:30:29.320 to

00:30:30.160 AI

00:30:30.740 and

00:30:31.540 those

00:30:31.880 scores

00:30:32.500 a

00:30:33.360 programmable

00:30:34.180 central

00:30:34.600 bank

00:30:34.900 digital

00:30:35.320 currency

00:30:35.940 could

00:30:36.640 be

00:30:36.800 designed

00:30:37.240 so

00:30:37.500 it

00:30:37.660 could

00:30:37.820 only

00:30:38.200 be

00:30:38.460 utilized

00:30:39.000 for

00:30:39.300 certain

00:30:39.720 kinds

00:30:40.360 of

00:30:40.580 purchases

00:30:41.040 or

00:30:42.000 so

00:30:42.280 that

00:30:42.480 it

00:30:42.580 has

00:30:42.840 limits

00:30:43.300 on

00:30:43.560 the

00:30:43.700 amount

00:30:44.040 of

00:30:44.200 times

00:30:44.580 it

00:30:44.860 can

00:30:45.020 be

00:30:45.220 used

00:30:45.640 to

00:30:45.820 buy

00:30:46.020 certain

00:30:46.500 goods

00:30:46.940 or

00:30:47.180 products

00:30:47.680 it's

00:30:48.760 even

00:30:49.000 more

00:30:49.340 likely

00:30:49.760 that

00:30:50.100 some

00:30:50.380 CBDCs

00:30:51.440 including

00:30:51.880 a

00:30:52.140 US

00:30:52.500 digital

00:30:52.960 dollar

00:30:53.360 would

00:30:53.940 be

00:30:54.100 designed

00:30:54.580 so

00:30:54.860 the

00:30:55.040 rules

00:30:55.420 for

00:30:55.740 its

00:30:55.940 use

00:30:56.340 could

00:30:56.580 change

00:30:57.200 over

00:30:57.580 time

00:30:58.060 so

00:30:58.300 if

00:30:58.420 the

00:30:58.560 geniuses

00:30:59.120 of

00:30:59.220 the

00:30:59.360 Fed

00:30:59.560 wake

00:30:59.840 up

00:31:00.000 one

00:31:00.220 day

00:31:00.520 and

00:31:01.060 determine

00:31:01.460 that

00:31:01.660 the

00:31:01.780 US

00:31:02.060 digital

00:31:02.500 dollar

00:31:02.880 should

00:31:03.160 no

00:31:03.460 longer

00:31:03.900 be

00:31:04.140 used

00:31:04.440 to

00:31:04.580 buy

00:31:04.760 gasoline

00:31:05.360 powered

00:31:05.800 cars

00:31:06.380 ammunition

00:31:07.420 guns

00:31:08.360 alcohol

00:31:09.120 fatty

00:31:09.660 foods

00:31:10.240 or

00:31:10.480 pretty

00:31:10.700 much

00:31:10.940 anything

00:31:11.380 else

00:31:11.760 they

00:31:11.940 want

00:31:12.120 to

00:31:12.240 ban

00:31:12.560 federal

00:31:13.440 bureaucrats

00:31:14.240 could

00:31:14.560 with a

00:31:14.900 push

00:31:15.120 of a

00:31:15.440 few

00:31:15.620 buttons

00:31:16.100 make

00:31:16.800 their

00:31:17.000 little

00:31:17.260 authoritarian

00:31:17.840 dreams

00:31:18.580 become

00:31:18.980 a

00:31:19.140 reality

00:31:19.660 depending

00:31:20.760 on how

00:31:21.280 the law

00:31:21.760 is written

00:31:22.520 governing

00:31:23.260 CBDC

00:31:24.360 it is

00:31:25.480 possible

00:31:26.080 and I

00:31:26.420 would argue

00:31:26.880 likely

00:31:27.480 that

00:31:28.120 additional

00:31:28.660 legislation

00:31:29.360 would not

00:31:30.420 be required

00:31:31.380 to make

00:31:32.080 such

00:31:32.460 changes

00:31:33.160 in other

00:31:34.020 words

00:31:34.360 CBDCs

00:31:35.380 are

00:31:35.520 created

00:31:35.920 in

00:31:36.180 Europe

00:31:36.460 and

00:31:36.660 North

00:31:36.860 America

00:31:37.300 and

00:31:37.600 the

00:31:37.780 Fed

00:31:37.980 and

00:31:38.140 other

00:31:38.420 central

00:31:38.820 banks

00:31:39.200 not

00:31:39.960 a

00:31:40.160 democratically

00:31:40.840 elected

00:31:41.500 legislature

00:31:42.260 are

00:31:42.640 likely

00:31:43.080 going

00:31:43.400 to

00:31:43.540 be

00:31:43.660 in

00:31:43.860 charge

00:31:44.160 of

00:31:44.340 how

00:31:44.500 those

00:31:44.780 digital

00:31:45.200 dollars

00:31:45.660 are

00:31:46.060 used

00:31:46.780 that's

00:31:47.960 how

00:31:48.160 the

00:31:48.380 Federal

00:31:48.660 Reserve

00:31:49.120 and

00:31:49.440 some

00:31:49.700 other

00:31:50.020 central

00:31:50.420 banks

00:31:50.740 act

00:31:51.080 today

00:31:51.540 with

00:31:51.860 very

00:31:52.200 little

00:31:52.580 oversight

00:31:53.340 a

00:31:54.120 programmable

00:31:54.900 digital

00:31:55.440 CBDC

00:31:56.360 could

00:31:56.980 also

00:31:57.580 easily

00:31:58.280 be

00:31:58.640 tracked

00:31:59.260 taken

00:32:00.300 away

00:32:00.860 or

00:32:01.480 have

00:32:01.780 their

00:32:02.000 supply

00:32:02.560 greatly

00:32:03.180 expanded

00:32:03.920 and

00:32:04.820 on

00:32:05.100 short

00:32:05.560 notice

00:32:06.100 think

00:32:06.880 how

00:32:07.120 effortless

00:32:07.780 it

00:32:08.060 would

00:32:08.240 be

00:32:08.520 for

00:32:08.820 the

00:32:09.020 Fed

00:32:09.460 to

00:32:09.920 provide

00:32:10.420 a

00:32:10.740 shiny

00:32:11.100 new

00:32:11.440 stimulus

00:32:11.920 plan

00:32:12.500 in

00:32:12.820 an

00:32:13.000 era

00:32:13.260 of

00:32:13.540 the

00:32:13.700 digital

00:32:14.100 dollar

00:32:14.580 just

00:32:15.540 make

00:32:15.800 a

00:32:15.980 phone

00:32:16.280 call

00:32:16.700 wrap

00:32:17.300 some

00:32:17.540 keys

00:32:17.900 and

00:32:19.180 boom

00:32:19.700 a

00:32:20.360 trillion

00:32:20.880 dollars

00:32:21.360 delivered

00:32:21.800 to

00:32:22.040 100

00:32:22.400 million

00:32:22.880 people

00:32:23.340 all

00:32:23.780 within

00:32:24.200 a

00:32:24.740 couple

00:32:25.000 of

00:32:25.200 minutes

00:32:25.600 with

00:32:26.320 all

00:32:26.480 these

00:32:26.740 possibilities

00:32:27.400 in

00:32:27.740 mind

00:32:28.120 is it

00:32:28.560 difficult

00:32:28.940 to

00:32:29.200 imagine

00:32:29.620 why

00:32:29.900 a

00:32:30.080 central

00:32:30.420 bank

00:32:30.840 or

00:32:31.040 its

00:32:31.220 allies

00:32:31.700 in

00:32:31.940 national

00:32:32.340 governments

00:32:32.880 would

00:32:33.520 want

00:32:33.880 to

00:32:34.080 develop

00:32:34.620 a

00:32:34.920 CBDC

00:32:35.680 so

00:32:37.060 tie

00:32:38.520 this

00:32:38.840 again

00:32:39.340 together

00:32:39.980 you're

00:32:41.400 going

00:32:41.680 to

00:32:41.880 have

00:32:42.180 a

00:32:42.360 social

00:32:42.680 credit

00:32:43.020 score

00:32:43.420 something

00:32:44.020 they

00:32:44.440 denied

00:32:45.120 they

00:32:46.120 said

00:32:46.520 that

00:32:46.700 that

00:32:46.860 was

00:32:47.000 a

00:32:47.140 conspiracy

00:32:47.700 theory

00:32:48.380 we

00:32:49.180 warned

00:32:49.760 you

00:32:50.100 that

00:32:50.380 it

00:32:50.560 wasn't

00:32:51.160 most

00:32:52.080 of

00:32:52.320 your

00:32:52.500 friends

00:32:52.980 have

00:32:53.300 no

00:32:53.660 idea

00:32:54.260 what

00:32:54.660 ESG

00:32:55.480 is

00:32:56.160 it

00:32:56.860 is

00:32:57.120 vital

00:32:57.800 that

00:32:58.180 they

00:32:58.360 understand

00:32:59.040 that

00:32:59.360 that's

00:32:59.860 what

00:33:00.060 the

00:33:00.300 entire

00:33:00.800 first

00:33:01.320 book

00:33:01.660 the

00:33:01.840 great

00:33:02.100 reset

00:33:02.460 was

00:33:02.920 about

00:33:03.320 once

00:33:04.600 you

00:33:04.780 understand

00:33:05.480 that

00:33:05.760 that's

00:33:06.160 not

00:33:06.540 a

00:33:06.700 conspiracy

00:33:07.200 theory

00:33:07.880 that

00:33:08.480 that

00:33:08.720 is

00:33:08.920 a

00:33:09.060 way

00:33:09.340 to

00:33:09.740 control

00:33:10.280 corporations

00:33:11.160 first

00:33:11.840 all the

00:33:12.500 way

00:33:12.700 down

00:33:13.060 to

00:33:13.380 you

00:33:13.900 in

00:33:14.280 the

00:33:14.460 end

00:33:14.820 and

00:33:15.140 when

00:33:15.280 I

00:33:15.420 say

00:33:15.600 the

00:33:15.760 end

00:33:15.960 I'm

00:33:16.160 not

00:33:16.300 talking

00:33:16.700 five

00:33:17.580 years

00:33:18.040 out

00:33:18.360 I'm

00:33:18.680 talking

00:33:19.020 the

00:33:19.260 next

00:33:19.540 18

00:33:20.020 to

00:33:20.180 24

00:33:20.600 months

00:33:21.140 it

00:33:22.720 will

00:33:22.920 control

00:33:23.620 you

00:33:24.500 then

00:33:25.720 when

00:33:26.320 that

00:33:26.600 is

00:33:27.040 forced

00:33:28.000 on

00:33:28.500 everyone

00:33:29.100 you

00:33:30.060 have

00:33:30.340 an

00:33:30.540 AI

00:33:31.040 monitoring

00:33:32.100 your

00:33:32.680 every

00:33:33.180 move

00:33:33.780 if

00:33:34.700 you

00:33:35.000 don't

00:33:35.540 have

00:33:35.860 the

00:33:36.060 right

00:33:36.360 credit

00:33:36.780 score

00:33:37.260 and

00:33:37.660 they

00:33:37.900 introduce

00:33:38.800 CBDC

00:33:39.840 central bank

00:33:40.980 digital

00:33:41.400 currency

00:33:41.980 and it

00:33:43.020 is

00:33:43.220 programmable

00:33:44.220 exactly

00:33:45.620 what

00:33:46.080 Kamala

00:33:46.600 Harris

00:33:47.040 was

00:33:47.340 talking

00:33:47.780 about

00:33:48.200 with

00:33:48.460 AI

00:33:48.920 putting

00:33:49.840 the

00:33:50.140 information

00:33:50.800 in

00:33:51.500 that

00:33:52.300 it

00:33:52.820 that

00:33:53.140 the

00:33:53.420 government

00:33:54.020 wants

00:33:54.880 it

00:33:55.120 to

00:33:55.660 have

00:33:56.240 so

00:33:56.700 it

00:33:56.900 will

00:33:57.080 have

00:33:57.540 certain

00:33:58.200 parameters

00:33:58.860 that

00:33:59.620 these

00:33:59.960 leftists

00:34:01.100 want

00:34:01.820 to

00:34:02.000 have

00:34:02.280 in

00:34:02.600 for

00:34:02.940 your

00:34:03.440 money

00:34:03.960 it's

00:34:05.540 not

00:34:05.940 your

00:34:06.220 money

00:34:06.580 if

00:34:07.400 you

00:34:07.660 step

00:34:08.060 out

00:34:08.300 of

00:34:08.500 bounds

00:34:08.980 if

00:34:09.340 you

00:34:09.620 complain

00:34:10.240 about

00:34:10.940 LGBTQ

00:34:11.700 they

00:34:12.780 don't

00:34:13.140 need

00:34:13.560 the

00:34:13.780 FBI

00:34:14.220 to

00:34:14.680 investigate

00:34:15.240 you

00:34:15.760 AI

00:34:16.760 will

00:34:17.700 already

00:34:18.300 know

00:34:18.880 what

00:34:19.280 you've

00:34:19.700 written

00:34:20.100 who

00:34:20.620 you're

00:34:20.920 talking

00:34:21.360 to

00:34:21.700 what

00:34:22.360 you

00:34:22.620 said

00:34:23.340 at

00:34:23.860 any

00:34:24.260 kind

00:34:24.580 of

00:34:24.740 meeting

00:34:25.160 or

00:34:25.720 any

00:34:26.060 meeting

00:34:26.540 where

00:34:26.820 your

00:34:27.060 phone

00:34:27.560 is

00:34:27.860 on

00:34:28.220 and

00:34:29.160 if

00:34:29.340 you

00:34:29.500 think

00:34:30.020 that

00:34:30.580 I

00:34:30.980 am

00:34:31.280 exaggerating

00:34:32.280 you

00:34:33.200 are

00:34:33.680 sadly

00:34:34.640 misled

00:34:36.100 and

00:34:36.620 misguided

00:34:37.340 it

00:34:39.580 will

00:34:39.780 gather

00:34:40.300 all

00:34:40.660 of

00:34:40.800 the

00:34:40.920 information

00:34:41.560 automatically

00:34:42.900 and

00:34:44.040 it

00:34:44.200 will

00:34:44.360 change

00:34:44.900 your

00:34:45.180 score

00:34:45.720 in

00:34:46.140 real

00:34:46.680 time

00:34:47.220 and

00:34:48.040 you

00:34:48.440 won't

00:34:48.840 be

00:34:49.060 able

00:34:49.400 to

00:34:49.660 do

00:34:49.980 things

00:34:50.520 that

00:34:50.740 you

00:34:50.940 want

00:34:51.380 to

00:34:51.600 do

00:34:51.940 we

00:34:52.740 told

00:34:53.040 you

00:34:53.220 yesterday

00:34:53.800 about

00:34:54.340 how

00:34:54.780 transportation

00:34:55.860 you're

00:34:56.960 not

00:34:57.300 going

00:34:57.580 to

00:34:57.740 be

00:34:57.920 able

00:34:58.220 to

00:34:58.480 fly

00:34:59.120 and

00:34:59.520 go

00:34:59.780 places

00:35:00.400 you're

00:35:00.980 not

00:35:01.200 even

00:35:01.420 going

00:35:01.660 to

00:35:01.800 be

00:35:01.960 able

00:35:02.220 to

00:35:02.440 drive

00:35:02.840 your

00:35:03.100 car

00:35:03.500 from

00:35:03.820 city

00:35:04.200 to

00:35:04.420 city

00:35:04.780 if

00:35:05.620 you

00:35:05.900 don't

00:35:06.340 have

00:35:06.800 a

00:35:07.100 perfect

00:35:07.500 score

00:35:08.040 and

00:35:08.800 as

00:35:09.160 I

00:35:09.320 told

00:35:09.560 you

00:35:09.760 yesterday

00:35:10.180 or

00:35:10.400 the

00:35:10.520 day

00:35:10.680 before

00:35:11.100 the

00:35:12.220 UN

00:35:13.120 UNESCO

00:35:14.860 outlined

00:35:16.620 in

00:35:17.060 2019

00:35:18.060 that

00:35:19.640 you

00:35:19.960 could

00:35:20.260 have

00:35:20.680 a

00:35:21.000 low

00:35:21.540 ESG

00:35:22.400 score

00:35:22.920 if

00:35:23.700 you're

00:35:23.960 a

00:35:24.180 journalist

00:35:24.800 why

00:35:26.600 because

00:35:27.620 you're

00:35:28.300 going

00:35:28.640 to

00:35:28.820 be

00:35:29.000 talking

00:35:29.360 to

00:35:29.640 people

00:35:30.060 whose

00:35:30.800 view

00:35:31.240 does

00:35:31.880 not

00:35:32.440 agree

00:35:33.180 with

00:35:34.360 ESG

00:35:35.460 or

00:35:35.920 one

00:35:36.560 of

00:35:36.720 the

00:35:36.880 other

00:35:37.140 things

00:35:37.640 that

00:35:37.820 they're

00:35:38.020 measuring

00:35:38.460 and

00:35:39.420 if

00:35:39.600 you

00:35:39.880 talk

00:35:40.420 to

00:35:40.620 them

00:35:40.880 for

00:35:41.320 your

00:35:41.620 job

00:35:42.220 as

00:35:42.540 a

00:35:42.860 journalist

00:35:43.580 your

00:35:44.720 point

00:35:45.260 will

00:35:45.560 go

00:35:45.840 down

00:35:46.320 your

00:35:46.600 score

00:35:47.060 will

00:35:47.300 go

00:35:47.520 down

00:35:47.940 and

00:35:48.260 you

00:35:48.560 may

00:35:48.840 not

00:35:49.160 be

00:35:49.380 able

00:35:49.680 to

00:35:49.940 drive

00:35:50.300 your

00:35:50.520 car

00:35:51.020 you'll

00:35:51.760 have

00:35:51.980 to

00:35:52.140 ride

00:35:52.440 a

00:35:52.640 bus

00:35:53.020 this

00:35:54.380 is

00:35:54.580 not

00:35:55.000 science

00:35:55.600 fiction

00:35:56.140 this

00:35:57.220 is

00:35:57.540 true

00:35:58.200 and

00:35:59.200 it

00:35:59.340 is

00:35:59.560 happening

00:35:59.960 and

00:36:00.180 I

00:36:00.340 do

00:36:00.520 not

00:36:01.140 want

00:36:01.720 you

00:36:01.860 to

00:36:02.020 take

00:36:02.280 my

00:36:02.540 word

00:36:02.820 for

00:36:03.020 you'll

00:36:03.280 notice

00:36:03.540 I

00:36:03.740 said

00:36:04.060 this

00:36:04.440 is

00:36:04.580 page

00:36:04.820 156

00:36:05.840 and

00:36:06.440 I

00:36:06.560 told

00:36:06.820 you

00:36:07.000 that

00:36:07.180 it

00:36:07.300 was

00:36:07.580 what

00:36:07.920 footnote

00:36:09.520 373

00:36:10.760 I think

00:36:11.620 so

00:36:11.840 this

00:36:12.220 whole

00:36:12.440 thing

00:36:12.700 is

00:36:12.960 footnoted

00:36:13.920 so

00:36:14.420 everything

00:36:15.160 is

00:36:15.980 clear

00:36:16.940 that

00:36:17.600 you

00:36:18.020 can

00:36:18.380 go

00:36:18.720 and

00:36:19.020 find

00:36:19.400 the

00:36:19.640 original

00:36:20.100 source

00:36:20.740 and

00:36:22.200 again

00:36:22.680 listen

00:36:23.860 to

00:36:24.140 what

00:36:24.340 they're

00:36:24.540 saying

00:36:25.000 today

00:36:25.740 they

00:36:26.640 were

00:36:26.840 lying

00:36:27.440 to

00:36:27.740 you

00:36:28.000 then

00:36:28.520 when

00:36:29.020 they

00:36:29.200 said

00:36:29.540 this

00:36:29.840 is

00:36:30.000 a

00:36:30.140 conspiracy

00:36:30.640 theory

00:36:31.280 because

00:36:31.940 they

00:36:32.360 are

00:36:32.640 saying

00:36:33.300 today

00:36:34.100 you

00:36:35.140 must

00:36:35.840 it's

00:36:36.220 inevitable

00:36:36.840 and

00:36:37.840 you

00:36:38.140 will

00:36:38.740 have

00:36:39.140 to

00:36:39.380 participate

00:36:40.020 it's

00:36:41.160 inevitable

00:36:41.700 I

00:36:42.920 I

00:36:42.940 thought

00:36:43.180 it

00:36:43.280 was

00:36:43.400 a

00:36:43.520 conspiracy

00:36:43.980 theory

00:36:44.620 so

00:36:45.780 today's

00:36:46.680 conspiracy

00:36:47.240 theory

00:36:47.860 is

00:36:48.380 tomorrow's

00:36:49.440 absolute

00:36:50.160 fact

00:36:51.160 and

00:36:52.000 by

00:36:52.220 tomorrow

00:36:52.860 you

00:36:54.100 could

00:36:54.320 be

00:36:54.560 in a

00:36:54.980 digital

00:36:55.460 jail

00:36:56.220 you

00:36:57.500 need

00:36:58.000 to

00:36:58.240 understand

00:36:58.940 what's

00:36:59.480 happening

00:36:59.880 and

00:37:00.420 you

00:37:00.600 can

00:37:00.780 find

00:37:01.240 it

00:37:01.460 all

00:37:01.840 in

00:37:02.140 the

00:37:02.280 book

00:37:02.520 dark

00:37:03.040 future

00:37:03.600 it

00:37:04.580 is

00:37:04.880 incredibly

00:37:05.640 important

00:37:06.380 that you

00:37:06.840 understand

00:37:07.380 it

00:37:07.680 and

00:37:07.920 if

00:37:08.120 you

00:37:08.420 if

00:37:09.780 you

00:37:10.020 know

00:37:10.400 people

00:37:10.880 that

00:37:11.200 will

00:37:11.400 ask

00:37:11.860 honest

00:37:12.360 questions

00:37:13.000 whose

00:37:13.840 mind

00:37:14.440 can

00:37:15.320 be

00:37:15.560 changed

00:37:16.240 still

00:37:16.860 with

00:37:17.980 facts

00:37:18.740 not

00:37:19.360 theories

00:37:19.960 not

00:37:20.320 conspiracies

00:37:21.160 but

00:37:21.500 with

00:37:21.840 facts

00:37:22.500 and

00:37:23.340 you

00:37:23.780 and

00:37:24.220 they

00:37:24.580 will

00:37:24.880 do

00:37:25.180 their

00:37:25.440 own

00:37:25.660 homework

00:37:26.140 and

00:37:26.780 they

00:37:26.960 will

00:37:27.180 change

00:37:27.720 their

00:37:27.980 position

00:37:28.560 and

00:37:28.880 wake

00:37:29.220 up

00:37:29.540 if

00:37:30.240 they're

00:37:30.520 presented

00:37:30.940 with

00:37:31.260 the

00:37:31.440 truth

00:37:31.920 you

00:37:32.620 need

00:37:32.980 to

00:37:33.180 tell

00:37:33.440 them

00:37:33.640 about

00:37:33.940 this

00:37:34.300 most

00:37:35.500 people

00:37:35.860 are

00:37:36.040 not

00:37:36.320 going

00:37:36.480 to

00:37:36.600 change

00:37:37.080 most

00:37:37.680 people

00:37:38.060 but

00:37:38.380 we

00:37:38.560 don't

00:37:38.840 need

00:37:39.100 everybody

00:37:39.540 we

00:37:39.780 need

00:37:40.060 20%

00:37:41.080 of

00:37:41.900 this

00:37:42.140 nation

00:37:42.580 strong

00:37:43.800 on

00:37:44.180 this

00:37:44.600 everyone

00:37:46.320 in this

00:37:46.820 audience

00:37:47.160 was born

00:37:47.760 for a

00:37:48.240 reason

00:37:48.580 one

00:37:50.040 of those

00:37:50.480 reasons

00:37:50.980 and I

00:37:52.320 don't know

00:37:52.640 how it

00:37:52.960 plays out

00:37:53.420 in your

00:37:53.760 life

00:37:54.180 but one

00:37:54.820 of those

00:37:55.180 reasons

00:37:55.600 I believe

00:37:56.320 you were

00:37:56.680 born at

00:37:57.120 this time

00:37:57.620 is to

00:37:58.060 save

00:37:58.540 the freedom

00:37:59.160 of all

00:37:59.700 mankind

00:38:00.100 this is

00:38:01.440 not

00:38:02.120 a

00:38:02.720 republican

00:38:03.180 democrat

00:38:03.680 thing

00:38:04.200 this is

00:38:05.600 a

00:38:05.840 human

00:38:06.480 thing

00:38:07.160 this

00:38:08.000 will

00:38:08.220 spread

00:38:08.800 over

00:38:09.180 the

00:38:09.460 entire

00:38:10.100 world

00:38:10.720 china

00:38:11.300 is

00:38:11.760 already

00:38:12.300 lost

00:38:12.920 to

00:38:13.280 it

00:38:13.520 it

00:38:14.600 cannot

00:38:15.120 enter

00:38:15.740 the

00:38:16.000 united

00:38:16.280 states

00:38:16.680 of

00:38:16.860 america

00:38:17.300 or

00:38:17.620 there

00:38:17.880 will

00:38:18.280 be

00:38:18.580 no

00:38:18.900 place

00:38:19.320 to

00:38:19.540 run

00:38:19.880 please

00:38:21.700 I

00:38:21.940 urge

00:38:22.180 you

00:38:22.300 to

00:38:22.460 pick

00:38:22.640 up

00:38:22.820 the

00:38:22.980 book

00:38:23.200 even

00:38:23.600 if

00:38:23.960 it's

00:38:24.160 in

00:38:24.300 a

00:38:24.440 library

00:38:24.980 if

00:38:25.300 they'll

00:38:25.540 allow

00:38:25.900 it

00:38:26.120 go

00:38:27.120 to

00:38:27.480 glens

00:38:27.940 new

00:38:28.180 book

00:38:28.580 dot

00:38:29.100 com

00:38:29.480 that's

00:38:29.880 glens

00:38:30.360 new

00:38:30.760 book

00:38:31.260 dot

00:38:31.760 com

00:38:32.100 it's

00:38:32.320 called

00:38:32.700 dark

00:38:33.320 future

00:38:33.860 nananana

00:38:35.420 a

The Glenn Beck Program - July 13, 2023

Best of the Program ｜ Guest： Justin Haskins ｜ 7⧸13⧸23

Episode Stats

Length

Words per Minute

Word Count

Sentence Count

Misogynist Sentences

Hate Speech Sentences

Summary

Transcript