Based Camp - November 18, 2024


Trump's Education Plan Is World Changing & Will Blow Up the US University System


Episode Stats

Length

52 minutes

Words per Minute

182.69328

Word Count

9,540

Sentence Count

558

Misogynist Sentences

20

Hate Speech Sentences

36


Summary

In this episode, we talk about the Trump administration, the Collins Institute, and why we think it s a good idea to reform the education system. We also talk about why we don t think the current education system is good enough and why it needs to change.


Transcript

00:00:00.000 Its mission will be to make a truly world-class education
00:00:03.480 available to every American free of charge.
00:00:06.740 This institution will gather an entire universe
00:00:09.700 of the highest quality educational content
00:00:12.280 covering the full spectrum of human knowledge and skills
00:00:16.420 and make that material available
00:00:18.680 to every American citizen online for free.
00:00:22.160 Whether you want lectures or an ancient histories
00:00:25.300 or an introduction to financial accounting
00:00:28.120 or training in a skilled trade,
00:00:30.560 this will be a truly top tier education option for the people.
00:00:34.560 So progressives come in, they go,
00:00:35.920 we should forgive college debt.
00:00:38.100 And the new riot comes in and we're like,
00:00:40.760 hey, let's build a college system
00:00:41.960 that doesn't create college debt in the first place.
00:00:44.640 I also think it's really interesting
00:00:45.880 that the Democrats want to portray themselves
00:00:47.940 as a party of the people and of the working classes.
00:00:50.600 And yet their entire ideology is based
00:00:54.020 on this elitist class-based ideology
00:00:56.520 that's indoctrinated within the university system
00:00:59.020 and enforced on society.
00:01:00.620 Would you like to know more?
00:01:01.960 Hello, Simone.
00:01:03.360 Today is a very exciting episode for us
00:01:06.460 because some crazy stuff has been happening.
00:01:08.860 And when I say crazy, like, obviously people know
00:01:11.860 we supported Trump to win this election
00:01:14.040 without many reservations.
00:01:16.040 However, the first few announcements and programs
00:01:20.380 he has named since coming into office
00:01:23.280 have blown me away.
00:01:27.720 Like they will be transformational
00:01:30.120 to human civilization
00:01:33.060 in a way that I almost cannot overstate
00:01:37.660 and could lead to human civilization
00:01:40.200 going down a completely new pathway
00:01:43.140 and a much, much more positive pathway.
00:01:47.080 Basically, I think a lot of people were like,
00:01:48.560 oh, what's all the things
00:01:50.620 that this new Trump administration is going to do?
00:01:52.460 What is it going to be like?
00:01:53.680 How is it going to be characterized?
00:01:55.400 Is it going to be characterized
00:01:56.640 by the sort of reductivist Project 2025 ideas
00:02:00.840 of like employ social controls on people,
00:02:03.320 let's ban porn, let's et cetera.
00:02:05.220 Or is it going to be the type of stuff
00:02:06.880 that would have come out of somebody like Elon
00:02:08.560 or the type of stuff that we're advocating for?
00:02:11.260 Like reforming major government institutions
00:02:14.060 and trying to fix major systemic problems
00:02:16.720 using very bold, aggressive solutions.
00:02:19.800 And now we're seeing it is very much more
00:02:22.520 on this side of things.
00:02:23.680 So much so that the first thing
00:02:25.260 that we're going to read about
00:02:26.460 for people who know us,
00:02:28.360 they know of our Collins Institute.
00:02:30.020 Our attempt to reform the education system
00:02:32.060 is just two random individuals.
00:02:34.540 Well, Trump is putting his finger on the scale
00:02:36.820 as well with this.
00:02:38.120 And the way that he is doing this
00:02:41.880 is so reminiscent of the system
00:02:44.940 that we put together.
00:02:46.380 I believe that it may be based on it.
00:02:50.880 Well, I know that people close to Trump right now,
00:02:54.200 people who have been at Mar-a-Lago
00:02:56.280 talking with Trump a lot about
00:02:57.680 who is being appointed,
00:02:59.180 had seen at least the commercial vid
00:03:01.820 for the Collins Institute
00:03:02.780 and had had the Institute described to them
00:03:05.860 over at least like a half hour, hour conversation.
00:03:09.020 So I am quite certain
00:03:11.140 that people in his orbit knew about it.
00:03:13.800 So it's not wild.
00:03:15.260 I'm not like a crazy conspiracy theorist
00:03:17.720 for thinking that some of the Institute ideas
00:03:19.720 were worked into this plan.
00:03:20.920 So I'm going to play some video.
00:03:22.100 In recent weeks,
00:03:23.300 Americans have been horrified
00:03:24.840 to see students and faculty at Harvard
00:03:27.540 and other once respected universities
00:03:29.840 expressing support for the savages
00:03:32.480 and jihadists who attacked Israel.
00:03:35.860 We spend more money on higher education
00:03:38.160 than any other country,
00:03:39.640 and yet they're turning our students
00:03:41.720 into communists and terrorists
00:03:43.800 and sympathizers of many, many different dimensions.
00:03:47.840 We can't let this happen.
00:03:49.020 It's time to offer something dramatically different.
00:03:52.860 Under the plan I'm announcing today,
00:03:54.600 we will take the billions and billions of dollars
00:03:56.940 that we will collect by taxing,
00:03:59.220 fining, and suing excessively large
00:04:02.160 private university endowments,
00:04:04.100 and we will then use that money
00:04:06.220 to endow a new institution
00:04:08.240 called the American Academy.
00:04:10.300 One, I just love the Trump signature speech moves
00:04:13.380 of billions and billions, et cetera.
00:04:15.180 I just, I've missed him.
00:04:16.400 It's so nice to have him back, you know?
00:04:18.460 Yeah, I think so many people after this election
00:04:20.600 like thought that they were trepidationists
00:04:22.580 about Trump winning or didn't want him winning.
00:04:24.400 And then he won and they're like,
00:04:25.360 ugh.
00:04:26.180 It feels like home, you know?
00:04:27.780 Yeah, it feels like a sigh of relief.
00:04:29.780 Like, okay, things are back
00:04:30.860 to basic functioning again.
00:04:32.440 But no, this is, I mean, I couldn't agree more
00:04:34.960 and I'm extremely excited about this concept.
00:04:37.060 And it bothers me the extent to which
00:04:40.280 this very, very broken system has been funded
00:04:43.580 and funded in a way that doesn't benefit anyone.
00:04:46.620 Even if you wanted this agenda to be pursued.
00:04:49.060 For example, even if I were,
00:04:51.520 I had created a cult system in the university
00:04:53.840 that I wanted everyone to be indoctrinated within,
00:04:56.320 I wouldn't also want them to then become disillusioned
00:05:01.080 by that very system,
00:05:02.220 by the amount of student debt they would be put in.
00:05:04.560 So like, and there's nothing about this,
00:05:06.680 regardless of your affiliation or agenda
00:05:09.340 that I feel works.
00:05:10.600 So no matter what, I want to see it wiped out.
00:05:12.920 Well, and I also think that we're seeing
00:05:14.620 a few things here, right?
00:05:16.120 In recent videos, I have talked about the fact
00:05:18.500 that a lot of white supremacists
00:05:20.420 ended up leaving the Trump coalition
00:05:22.500 because they didn't like his support for Israel.
00:05:25.940 The very first thing when he's talking about
00:05:28.240 reforming the education system
00:05:29.660 is his concern about the anti-Semitic stuff
00:05:32.900 that we are seeing on college campuses.
00:05:35.240 And that is being championed by people like Claudine Gay,
00:05:38.740 who was like, well, you know, when she was asked,
00:05:41.160 is it what, you know,
00:05:43.400 an offensive Harvard's anti-discrimination policy
00:05:45.580 to say that all Jews should be eradicated?
00:05:48.240 She's like, it depends on the context.
00:05:50.140 It's like, okay, clearly we have a systemic problem
00:05:53.120 within these institutions that that's being said.
00:05:55.200 We have a systemic problem if people,
00:05:57.360 and you can watch our video on this,
00:05:58.380 that people who achieve their roles for DEI
00:06:00.040 basically are not having their things reviewed
00:06:03.000 by very easy to use software to see if it is plagiarized
00:06:06.160 because we're just seeing plagiarization
00:06:07.360 all across the board.
00:06:08.500 The entire system is corrupt to its core.
00:06:11.820 And right now, I think anyone
00:06:13.380 who is being honest with themselves
00:06:14.920 sees it as primarily an indoctrination mechanism
00:06:17.980 and an indoctrination mechanism
00:06:20.200 that then you become basically an indentured servant to
00:06:23.260 for a huge chunk of your working life
00:06:26.400 through college debt.
00:06:28.160 It is, and really you're becoming an indentured servant
00:06:30.760 not to learn,
00:06:31.600 because you don't learn that much in college.
00:06:33.160 You become an indentured servant
00:06:34.340 for the accreditation that the colleges provide.
00:06:37.320 And I love that,
00:06:38.480 as you'll see as we go further in this,
00:06:40.340 that is what Trump is trying to head off here.
00:06:42.720 And I also like that he wants to pay for this plan
00:06:45.400 by suing, by making the life harder
00:06:48.580 for the traditional college ecosystem,
00:06:50.500 because that ecosystem,
00:06:51.900 the endowments are just insane.
00:06:53.540 They're wasting all their money on stadiums.
00:06:54.720 They don't need the money.
00:06:56.560 They don't need the money.
00:06:57.940 Drain them, bleed them dry, watch them die.
00:07:00.760 I don't care.
00:07:02.060 People can be like,
00:07:02.600 oh, but so much good comes out of it.
00:07:03.960 If you look at the research
00:07:05.420 that's coming out of the university system
00:07:06.740 over time per dollar spent,
00:07:08.160 it has gone down dramatically,
00:07:09.880 dramatically, dramatically over the last 40 years
00:07:11.800 to almost nothing.
00:07:13.300 Like basically we need a new system.
00:07:14.700 And I love that that is now
00:07:16.320 being talked about seriously.
00:07:18.180 Well, it also occurs to me,
00:07:19.580 we talked about in that other episode
00:07:21.880 about the dynamic of single women
00:07:24.180 voting overwhelmingly for Kamala Harris.
00:07:26.820 There's also this tendency of people
00:07:28.320 who've been university educated
00:07:29.540 to vote more Democrat.
00:07:31.300 And I wonder if a lot of that
00:07:32.520 is similar to the dynamic of single women
00:07:34.840 being dependent on the state
00:07:37.560 where they otherwise would be either independent
00:07:39.400 or dependent on like husbands or families
00:07:41.580 or community networks.
00:07:42.820 I think in a similar fashion,
00:07:45.040 students who are indebted to student debt
00:07:47.500 are more indebted or dependent on governments
00:07:51.900 that may forgive their loans,
00:07:53.400 that may give them food assistance,
00:07:54.960 that may give them all these other things.
00:07:56.080 Oh, no, I think you're absolutely right.
00:07:57.440 Colleges support Democrats in so many ways.
00:07:59.760 Not only do they create
00:08:00.840 this indentured servant class
00:08:02.360 who needs the things-
00:08:03.380 Who are dependent,
00:08:04.320 who become dependent on the government.
00:08:06.080 Yeah.
00:08:06.280 But it delays the rate that people marry,
00:08:08.860 which as you know,
00:08:09.920 single, both men and women
00:08:12.220 are much more likely to vote Democrat.
00:08:13.600 Yeah, it sort of creates more single women,
00:08:15.340 which of course are dependent on the government.
00:08:16.740 It is a major problem
00:08:18.140 in regards to demographic collapse
00:08:19.640 because it makes people have kids much later.
00:08:22.180 As you can see,
00:08:23.000 people who are college educated
00:08:24.120 have much fewer kids.
00:08:25.280 And I think part of that
00:08:26.400 could be an earnings thing.
00:08:27.660 But I think even when you correct for earnings,
00:08:29.140 it's much fewer kids.
00:08:30.780 And it is because here,
00:08:32.700 I think the indoctrination plays a role.
00:08:34.860 And as we saw in this last election cycle,
00:08:38.060 Hispanics moved overwhelmingly conservative,
00:08:40.260 so much so that male Hispanics
00:08:41.740 are now a conservative voting bloc.
00:08:44.080 You know, Blacks moved significantly
00:08:45.740 to the conservative side
00:08:46.840 where it was like 10% in the last election cycle.
00:08:49.020 Black males, it was 25% in this election cycle.
00:08:51.540 And we're beginning to see,
00:08:52.540 and interestingly,
00:08:53.460 between the last time Trump was elected
00:08:55.080 and this time Trump was elected,
00:08:56.460 white men actually voted less for Trump.
00:08:59.080 And so what you can see
00:08:59.980 is a truly interracial alliance
00:09:02.460 forming in the Trump coalition,
00:09:04.840 which makes a lot of sense
00:09:05.720 why a lot of the racists left the coalition.
00:09:07.420 You can see our video on that.
00:09:08.740 But the opposition to this coalition
00:09:12.320 is primarily college educated people.
00:09:15.060 That's the one voter block
00:09:16.740 that dims still have on lock.
00:09:19.700 And a lot of dims will be like,
00:09:21.240 oh, it's because we have smarter people.
00:09:23.080 But no, it's not an IQ issue.
00:09:25.380 It's a, they went through
00:09:26.160 an indoctrination system
00:09:27.560 and now benefit from this class system
00:09:30.400 that our society is based
00:09:31.400 where there are a,
00:09:33.040 there is a group of our society
00:09:34.020 that doesn't consider some people
00:09:35.080 like truly adult
00:09:36.000 until they've gone through college.
00:09:37.760 Yeah.
00:09:38.500 It's like a coming of age ritual,
00:09:39.920 but okay.
00:09:40.260 And I want to make it clear
00:09:41.420 that the university system
00:09:42.860 doesn't have to necessarily
00:09:44.560 dissuade people
00:09:46.440 from starting families early.
00:09:47.700 For example,
00:09:48.340 you could create a new type
00:09:49.980 of higher education
00:09:51.120 or credentialing system
00:09:52.280 that actively supports young families.
00:09:54.840 And I think really the best time
00:09:56.340 to have a family
00:09:57.040 is when you're going
00:09:57.660 through education.
00:09:58.300 Because when you're in the middle
00:09:59.680 of learning
00:10:00.500 and absorbing information
00:10:02.400 and you have a flexible schedule
00:10:04.340 and flexible classes,
00:10:05.360 that is the best time
00:10:06.780 to be pregnant
00:10:07.380 or hanging out with a newborn, right?
00:10:09.100 Because what else are you going to do
00:10:09.940 but stay up all night,
00:10:10.920 like nurse,
00:10:11.460 take care of a baby
00:10:12.180 and like learn particle physics.
00:10:14.660 It's, it's perfect.
00:10:15.960 And yet that is a huge missed opportunity.
00:10:18.260 So I'm not saying
00:10:19.220 that higher education
00:10:20.040 is the problem.
00:10:20.700 I'm saying the current,
00:10:22.560 corrupt, terrible,
00:10:24.320 toxic university system
00:10:25.660 is the problem.
00:10:26.160 And that's what's being identified here.
00:10:27.820 It's so cool.
00:10:29.020 Yeah.
00:10:29.320 And I also think
00:10:30.000 it's really interesting
00:10:30.620 that the Democrats
00:10:31.460 want to portray themselves
00:10:32.660 as a party of the people
00:10:33.760 and of the working classes.
00:10:35.200 And yet their entire ideology
00:10:37.980 is based on this elitist
00:10:39.880 class-based ideology
00:10:41.160 that's indoctrinated
00:10:42.180 within the university system
00:10:43.560 and enforced on society.
00:10:45.420 There could be nothing less,
00:10:47.040 you know,
00:10:47.680 I guess for the working class
00:10:49.280 than that.
00:10:50.320 But let's read
00:10:50.760 the next two paragraphs here.
00:10:51.700 Its mission will be
00:10:52.880 to make a truly world-class
00:10:54.500 education available
00:10:55.780 to every American
00:10:56.840 free of charge
00:10:58.260 and do it
00:10:59.300 without adding
00:11:00.540 a single dime
00:11:01.560 to the federal debt.
00:11:03.280 This institution
00:11:04.280 will gather
00:11:04.980 an entire universe
00:11:06.020 of the highest quality
00:11:07.260 educational content
00:11:08.680 covering the full spectrum
00:11:10.780 of human knowledge
00:11:11.820 and skills
00:11:12.500 and make that material
00:11:14.440 available
00:11:15.040 to every American citizen
00:11:16.560 online for free.
00:11:18.620 Whether you want lectures
00:11:20.180 or an ancient histories
00:11:21.620 or an introduction
00:11:22.920 to financial accounting
00:11:24.260 or training
00:11:25.300 in a skilled trade,
00:11:26.880 the goal will be
00:11:27.780 to deliver it
00:11:28.940 and get it done properly.
00:11:30.980 Using study groups,
00:11:32.480 mentors,
00:11:33.240 industry partnerships,
00:11:34.240 and the latest breakthrough
00:11:36.260 in computing,
00:11:38.140 this will be a truly
00:11:39.140 top-tier education option
00:11:41.080 for the people.
00:11:42.140 It is uncanny
00:11:43.060 how much this sounds
00:11:44.380 like the Collins Institute.
00:11:46.260 I love that, though.
00:11:47.680 I mean, because obviously
00:11:49.320 this is what we think
00:11:50.320 would be ideal.
00:11:50.860 This is what we built
00:11:51.720 because we thought
00:11:52.380 what then in an ideal scenario
00:11:54.740 thinking from first principles
00:11:56.100 would people benefit from now
00:11:58.280 given the internet,
00:11:59.680 given what's out there,
00:12:00.640 given our economy,
00:12:01.960 given the rise of AI,
00:12:03.120 and this is what they're
00:12:04.700 planning on building.
00:12:05.520 Oh my gosh.
00:12:06.200 Yes, please.
00:12:07.540 Yes, please.
00:12:08.320 Exactly.
00:12:08.880 Yes, please.
00:12:09.460 And we will be reaching out
00:12:10.680 to anyone involved in this
00:12:12.000 about having the framework
00:12:13.940 we built with the Institute
00:12:14.980 used as a framework for this.
00:12:16.240 For anyone who hasn't
00:12:17.060 checked out the Institute
00:12:17.640 recently since launch,
00:12:18.880 it's developed dramatically
00:12:20.340 since then.
00:12:21.140 We now have like an AI
00:12:22.020 search function.
00:12:23.380 We have everything's
00:12:24.260 got pictures now.
00:12:25.160 We're going to have
00:12:25.500 multiple layouts soon.
00:12:27.140 We're going to have
00:12:27.840 a lot more tests
00:12:29.380 that are written tests
00:12:30.920 that are judged by AI.
00:12:32.520 So I am really impressed
00:12:34.560 by what we're building,
00:12:35.320 but if we had access
00:12:36.440 to flesh it out with this,
00:12:38.480 you could get something
00:12:39.480 that is just truly,
00:12:41.860 truly, truly world-class.
00:12:43.080 The Collins Institute,
00:12:44.400 a comprehensive skill tree
00:12:45.760 comprising all of human knowledge,
00:12:48.060 ranging from tort law
00:12:49.280 to hanging drywall
00:12:50.580 to the industrial transportation
00:12:52.540 of grain or aquaculture pharmacology.
00:12:55.600 Click on a node to open it.
00:12:57.180 The node will include
00:12:57.980 a description of what knowledge
00:12:59.320 is needed to pass its test,
00:13:01.260 as well as a list
00:13:02.240 of the best places
00:13:03.020 to learn that information.
00:13:05.060 Vote on the sources
00:13:05.780 that were most useful to you
00:13:07.040 by clicking this button.
00:13:08.940 To add an additional source,
00:13:10.620 click this button.
00:13:11.480 And the other thing
00:13:12.620 that I really, really appreciate
00:13:15.520 about this is the U.S. government.
00:13:19.240 Like why, it's almost sort of weird
00:13:20.900 that this wasn't happening before.
00:13:22.160 The U.S. government was funding
00:13:23.620 individual state colleges
00:13:25.300 to the tunes of billions
00:13:26.560 and trillions of dollars a year
00:13:28.140 instead of just funding
00:13:29.680 for top quality free lectures
00:13:31.880 to be online.
00:13:33.320 Well, but that's because
00:13:34.400 when all of this was originally designed
00:13:36.920 and all of the bureaucratic organizations
00:13:38.640 were set into motion,
00:13:40.260 the Internet didn't exist.
00:13:42.200 This wasn't a possibility.
00:13:43.540 And I think that's the thing
00:13:44.320 is we need to,
00:13:45.500 just like we talk about school,
00:13:47.060 like primary school
00:13:48.200 being a combination of
00:13:49.740 giving kids a safe place
00:13:51.580 to be during the day
00:13:52.260 while their parents work.
00:13:53.140 That's one element of it.
00:13:54.240 Another element of it
00:13:55.120 is just making sure
00:13:55.820 kids don't kill themselves.
00:13:57.040 So sort of giving them supervision.
00:13:58.580 Another element is food service.
00:14:00.040 And then this tiny little element
00:14:01.500 to the side
00:14:01.960 is maybe educating them.
00:14:03.260 I don't know, kind of.
00:14:04.220 I don't know, maybe.
00:14:05.340 But there's all these different things.
00:14:06.300 Now we need to look at
00:14:07.640 from first principles school
00:14:09.100 and say,
00:14:10.440 OK, how do we provide these services
00:14:12.080 a la carte
00:14:12.760 or together in some way
00:14:14.060 that makes more sense?
00:14:15.220 It's more efficient
00:14:15.900 because, you know,
00:14:16.840 school as a monolith
00:14:18.400 to deliver all these things
00:14:19.500 is not optimal.
00:14:21.100 The same goes for university.
00:14:22.520 I think that there are a couple things
00:14:24.040 that are funded
00:14:24.720 through universities,
00:14:25.420 which if let's say
00:14:26.760 all universities are shut down,
00:14:28.160 needs to be rethought.
00:14:29.100 And one of those
00:14:29.560 is important research.
00:14:30.760 You know, universities
00:14:31.340 have these labs,
00:14:32.420 they have these academics
00:14:33.180 whose lifestyle,
00:14:35.500 like their salary
00:14:36.380 needs to be paid
00:14:37.100 if they're going to spend
00:14:37.760 all their time curing cancer
00:14:39.380 or doing other
00:14:40.080 really important work, right?
00:14:41.260 Like that makes sense to me,
00:14:42.540 but that doesn't have to be
00:14:43.860 through the same institution
00:14:45.020 that educates people
00:14:46.300 to have a career, right?
00:14:47.720 And it doesn't seem like
00:14:48.700 those kind of run counter
00:14:50.100 to each other
00:14:50.700 because people who go
00:14:51.920 through academia right now
00:14:54.180 are kind of falling off
00:14:55.280 the career track
00:14:56.120 and they're like more driven
00:14:57.260 into an academic track.
00:14:58.740 So it seems like
00:14:59.620 the institutions
00:15:00.700 and technology and systems
00:15:02.140 that should be preparing
00:15:02.920 people for a career
00:15:03.840 should be different
00:15:04.960 from the institutions
00:15:05.760 that we use
00:15:06.460 as like the R&D of America.
00:15:09.800 I think that
00:15:10.980 what we're looking at here
00:15:12.360 is the thing
00:15:13.440 that prepares Americans
00:15:14.440 to have a career
00:15:15.220 and we really just need that.
00:15:17.020 Yeah, well,
00:15:17.440 and here's what I find
00:15:18.540 really interesting with this
00:15:19.640 is I think that this
00:15:21.520 is super indicative
00:15:22.460 of what the new right is.
00:15:24.660 So I have made some statements
00:15:26.240 about the new right
00:15:27.420 that I think are really
00:15:28.340 borne out by this being
00:15:30.220 one of his first major projects,
00:15:31.580 which is the first being
00:15:33.640 is that the new right,
00:15:36.080 when contrasted
00:15:36.960 with the left today,
00:15:38.420 the core difference
00:15:39.480 between the two
00:15:40.420 is not on particular policies
00:15:42.660 or on particular worldviews.
00:15:44.500 It's actually that
00:15:45.540 the left thinks
00:15:46.440 you can make iterative changes
00:15:47.720 to the existing systems
00:15:49.040 and the new right
00:15:50.160 wants to make seismic changes
00:15:52.180 to the systems.
00:15:52.820 It just doesn't think
00:15:53.580 they work anymore
00:15:54.300 and they need to be
00:15:54.860 totally rebuilt.
00:15:56.020 And I had also pointed out
00:15:57.960 that the reason
00:15:58.480 why the new right
00:15:59.080 made such a good coalition
00:16:00.620 with Trump's original base
00:16:01.820 is Trump's original base
00:16:02.820 was let's burn everything down.
00:16:04.560 Like the education system
00:16:05.560 isn't working,
00:16:06.440 but there wasn't concrete plans
00:16:08.900 on how to rebuild it.
00:16:10.160 It was just sort of like,
00:16:11.080 well, things will work
00:16:12.240 or we can do this at home
00:16:13.440 or we can,
00:16:14.360 whereas the new right was,
00:16:15.660 well, and I have a plan
00:16:17.140 to use modern technology
00:16:18.640 to rebuild it
00:16:20.000 from the ground up
00:16:21.000 systemically better.
00:16:23.680 And I think that
00:16:24.300 that's what we're seeing here
00:16:25.380 is this combination
00:16:26.040 of burned down
00:16:27.000 Department of Education
00:16:28.060 build up new school systems.
00:16:30.820 Okay.
00:16:31.620 Yeah.
00:16:32.340 Yeah.
00:16:32.780 I think that's accurate.
00:16:35.000 It will be strictly
00:16:36.280 non-political
00:16:37.300 and there will be
00:16:37.960 no wokeness
00:16:39.000 or jihadism allowed.
00:16:41.200 None of that's
00:16:41.960 going to be allowed.
00:16:43.060 Most importantly,
00:16:43.840 the American Academy
00:16:44.760 will compete directly
00:16:45.880 with the existing
00:16:46.820 and very costly
00:16:47.780 four-year university system
00:16:50.100 by granting students
00:16:51.420 degree credentials
00:16:52.760 that the U.S. government
00:16:54.300 and all federal contractors
00:16:56.220 will henceforth recognize.
00:16:59.260 The Academy will award
00:17:00.540 the full and complete
00:17:02.000 equivalent
00:17:02.500 of a bachelor's degree.
00:17:04.400 This point he's making here
00:17:05.340 is really important
00:17:06.180 for a number of reasons.
00:17:07.980 And the first
00:17:09.180 is the keeping it
00:17:10.700 non-political,
00:17:11.640 keeping out the wokeness,
00:17:12.660 keeping out the jihadism,
00:17:13.840 which really is
00:17:14.920 on our university campuses.
00:17:16.120 And people are like,
00:17:16.620 why is he talking about
00:17:17.300 jihadism on our
00:17:18.100 university campuses?
00:17:19.620 When you see students
00:17:21.420 chanting from the river
00:17:22.680 to the sea
00:17:23.220 on a university campus,
00:17:24.500 that is jihadism.
00:17:25.740 They're saying,
00:17:26.200 I want to remove
00:17:27.420 all of the Jewish people
00:17:29.220 from the land of Israel
00:17:30.480 with violence.
00:17:32.220 Yeah.
00:17:32.520 That is,
00:17:33.120 that is,
00:17:33.900 like,
00:17:34.260 there's nothing else to it.
00:17:35.340 That is what's happening.
00:17:36.340 People can be like,
00:17:36.900 oh, come on,
00:17:37.400 that's not really coming
00:17:38.220 from jihadists.
00:17:39.700 And I'm like,
00:17:40.460 you should watch our video
00:17:41.420 on who the number one
00:17:42.380 state donor is
00:17:43.260 to the U.S. education system.
00:17:44.760 It is the,
00:17:45.820 it is the Qatari government,
00:17:48.060 which is also
00:17:48.920 the number one
00:17:50.040 financial donor to Hamas.
00:17:52.700 They would have
00:17:54.880 splinter factions
00:17:55.700 on our university campuses.
00:17:57.160 Good evening.
00:17:58.080 As the conflict
00:17:58.780 in the Middle East
00:17:59.620 continues to rage,
00:18:01.300 the motivations
00:18:01.940 for each of the factions
00:18:03.360 remain complex.
00:18:05.000 Tonight,
00:18:05.380 we're sitting down
00:18:06.060 with a brave
00:18:06.780 Hamas freedom fighter
00:18:08.260 to find out what it is
00:18:09.740 their organization wants.
00:18:11.020 What deep
00:18:11.920 and lasting vision
00:18:13.300 are you looking
00:18:13.880 to implement
00:18:14.540 in the region?
00:18:16.360 I just want
00:18:16.900 to kill the Jews.
00:18:17.680 Well, we might
00:18:21.920 have a little bit
00:18:22.840 of a language barrier
00:18:24.580 here.
00:18:25.700 So, because I think
00:18:26.380 what you mean
00:18:27.340 is that you just
00:18:28.260 want to enact
00:18:29.660 justice against those
00:18:31.500 who are restricting
00:18:32.680 your freedoms,
00:18:34.200 of course.
00:18:35.000 Maybe I wasn't clear.
00:18:36.760 I apologize.
00:18:38.460 We want to kill
00:18:39.420 all Jews
00:18:40.640 who are restricting
00:18:42.340 our freedom
00:18:43.060 to kill more Jews.
00:18:44.580 But just so our viewers
00:18:46.320 understand,
00:18:47.180 when you say
00:18:47.800 kill all Jews,
00:18:49.320 it's a metaphor.
00:18:50.400 You don't mean
00:18:50.940 that literally.
00:18:52.420 Much like
00:18:53.080 from the river
00:18:54.020 to the sea,
00:18:54.940 it is an aspirational
00:18:56.300 call for freedom
00:18:57.440 and human rights.
00:18:59.280 Exactly.
00:19:00.580 It is our aspiration
00:19:01.960 to kill
00:19:03.260 all Jews
00:19:04.500 from the river
00:19:05.280 to the sea.
00:19:06.160 And then
00:19:07.060 all the rest
00:19:07.880 of the Jews.
00:19:08.920 In fact,
00:19:09.440 are there any Jews
00:19:10.540 here tonight?
00:19:11.360 What?
00:19:12.480 Maybe just one or two
00:19:13.740 I could kill.
00:19:14.580 So the trip over
00:19:15.620 wasn't a total waste.
00:19:17.040 But that can't be
00:19:17.780 all that you want.
00:19:19.480 No, no.
00:19:20.140 No, no, no, no.
00:19:21.100 Of course not.
00:19:21.900 We also
00:19:22.700 want to uplift
00:19:24.200 the LGBTQ plus
00:19:26.020 community.
00:19:26.860 Oh, so moving.
00:19:28.400 On top of a building
00:19:29.500 and then throw them over.
00:19:30.600 No, it's not.
00:19:30.920 Don't say that you
00:19:32.220 want to kill anybody
00:19:33.360 on TV.
00:19:35.440 Okay.
00:19:36.300 I won't say it.
00:19:37.960 But
00:19:38.400 you can read it
00:19:39.740 in our charter
00:19:40.300 or just look up
00:19:40.960 the statements
00:19:41.400 from any of our leaders
00:19:42.340 on YouTube.
00:19:43.600 We're pretty upfront
00:19:44.620 about it.
00:19:45.200 Sadly,
00:19:45.680 we may never know
00:19:46.680 what it is
00:19:47.620 that Hamas wants.
00:19:49.720 Let me just
00:19:50.580 email you a link
00:19:51.940 from our...
00:19:52.660 Stop, stop, stop.
00:19:53.880 So he's right
00:19:54.520 to be worried
00:19:55.060 about all this.
00:19:55.880 My biggest fear
00:19:56.960 about this,
00:19:57.780 and this is why
00:19:58.300 I like panickedly
00:19:59.700 want to make sure
00:20:00.520 we're in the administration
00:20:01.160 now,
00:20:01.800 is if they do not
00:20:04.380 build strong
00:20:05.280 governance systems,
00:20:06.280 which, you know,
00:20:06.660 we wrote a book,
00:20:07.360 The Pragmatist
00:20:07.760 Federal Governance
00:20:08.200 on how to do this
00:20:09.020 to prevent
00:20:10.000 this department
00:20:10.640 from being captured
00:20:11.500 the moment
00:20:12.100 the Democrats
00:20:12.920 come back
00:20:13.380 into office,
00:20:14.300 this is going
00:20:15.840 to be the tool
00:20:17.260 for some of
00:20:17.800 the greatest evil
00:20:18.580 ever done.
00:20:20.640 So this needs
00:20:22.360 to be like the Fed.
00:20:23.660 It needs to be
00:20:24.680 a separated branch
00:20:25.900 of government
00:20:26.500 and it needs
00:20:27.060 to have
00:20:27.440 very, very
00:20:28.680 strong systems
00:20:29.780 in it
00:20:30.080 that are
00:20:30.580 very, very
00:20:31.780 bipartisan
00:20:32.440 and very, very
00:20:33.920 easy to throw
00:20:35.120 things out
00:20:35.680 and keep the rot
00:20:36.780 from spreading
00:20:37.400 within this.
00:20:38.340 And I hope
00:20:38.880 that we can work
00:20:39.800 to do that
00:20:40.500 or that the people
00:20:41.180 working to do that
00:20:42.000 are competent
00:20:42.540 and they don't just
00:20:43.220 think they can
00:20:43.680 create a department
00:20:44.340 that won't be
00:20:44.860 taken over
00:20:45.320 the moment they
00:20:46.260 leave and filled
00:20:47.280 with wokeness.
00:20:48.420 Just because Trump
00:20:49.240 says he's against
00:20:49.840 wokeness doesn't mean
00:20:50.520 the next person's
00:20:51.200 going to feel that way.
00:20:52.560 There are ways
00:20:53.480 that we can build
00:20:53.980 systems that prevent
00:20:54.760 it from being corrupted.
00:20:56.640 I do think that's
00:20:57.340 something that is
00:20:57.860 half-baked,
00:20:58.440 not to criticize this
00:20:59.480 because I think
00:20:59.840 it's great,
00:21:00.240 but we're also
00:21:00.880 not shills.
00:21:01.420 So something
00:21:02.680 that is half-baked
00:21:03.380 is this idea
00:21:04.140 that, I mean,
00:21:04.600 one, I appreciate
00:21:05.480 that basically
00:21:06.200 it's saying
00:21:06.940 that the American
00:21:07.460 Academy will have
00:21:08.980 credentials of equal
00:21:10.420 value as far
00:21:11.780 as the government
00:21:12.280 should be concerned
00:21:12.900 with hiring
00:21:13.380 as any other
00:21:14.720 accredited university.
00:21:16.060 I think that's great.
00:21:17.000 However,
00:21:18.080 when people are
00:21:18.980 looking at credentials,
00:21:20.660 the reason they
00:21:21.400 like Harvard
00:21:22.180 isn't because they
00:21:23.000 think Harvard
00:21:23.860 classes are
00:21:24.600 necessarily better.
00:21:26.100 It's because they
00:21:27.060 know how exclusive
00:21:28.040 Harvard is.
00:21:28.880 So if someone
00:21:29.820 was good enough
00:21:30.420 to get into
00:21:31.420 Harvard,
00:21:32.540 just get in.
00:21:33.380 And that's why
00:21:33.660 Harvard dropouts
00:21:34.420 have plenty of
00:21:35.380 benefits too
00:21:36.040 on the career
00:21:36.500 market means
00:21:37.840 that they must
00:21:38.620 have something
00:21:39.460 of value.
00:21:40.380 It means that
00:21:40.520 they are articulate,
00:21:42.360 that they are
00:21:42.760 ambitious,
00:21:43.400 that they are
00:21:43.980 hardworking,
00:21:44.700 and that,
00:21:45.000 you know,
00:21:45.320 you can expect
00:21:46.200 certain things
00:21:46.820 from them.
00:21:47.700 And I do think
00:21:48.360 that when I come
00:21:49.200 back to that
00:21:49.740 whole thing
00:21:51.380 about parsing
00:21:52.200 out the unique
00:21:53.600 things of value
00:21:54.400 that a system
00:21:54.920 is creating,
00:21:55.700 we need to be
00:21:56.380 aware of what
00:21:57.460 credentialing is
00:21:58.480 and isn't.
00:21:59.820 And you
00:22:00.320 cannot,
00:22:00.840 from just
00:22:01.140 some open,
00:22:02.020 free online
00:22:02.620 system that
00:22:03.180 anyone can
00:22:03.700 go through,
00:22:04.860 assume that
00:22:05.660 those credentials
00:22:06.260 will immediately
00:22:07.180 be of equal
00:22:08.020 value to
00:22:08.620 employers.
00:22:09.500 This is why
00:22:10.220 his system is
00:22:10.740 so good.
00:22:11.040 So he doesn't
00:22:11.420 mention this in
00:22:11.920 the parts of
00:22:12.500 the clip that
00:22:12.900 we're showing
00:22:13.300 here.
00:22:14.240 And many people
00:22:15.020 don't know this,
00:22:15.660 but our project,
00:22:16.740 one of the first
00:22:17.620 major startups we
00:22:18.420 worked on was
00:22:19.440 to create a
00:22:20.000 credentialing system
00:22:21.000 that could be
00:22:22.040 used in mass
00:22:23.040 for sort of
00:22:23.540 online professions.
00:22:24.940 And there just
00:22:25.680 wasn't a way to
00:22:26.560 legitimize it
00:22:27.500 widely enough
00:22:28.420 for it to
00:22:29.360 work.
00:22:29.760 But he came
00:22:30.360 up with the
00:22:30.820 hack that I
00:22:31.360 think fixes so
00:22:32.080 many of the
00:22:32.420 problems of
00:22:32.920 counter-systems
00:22:33.560 like this.
00:22:34.060 Oh, do tell.
00:22:35.300 Which is
00:22:35.780 mandating that
00:22:37.140 all government
00:22:37.880 departments must
00:22:38.900 treat degrees
00:22:39.920 from this system
00:22:40.900 as equal to
00:22:41.700 university degrees.
00:22:44.080 I mean, I
00:22:44.860 think that helps
00:22:45.360 to undermine
00:22:46.000 universities as
00:22:46.920 a place where
00:22:47.420 people go as
00:22:48.600 a default.
00:22:50.080 But I still
00:22:50.600 don't know if
00:22:52.460 that, I mean,
00:22:53.080 people will still,
00:22:54.060 listen, if you're
00:22:55.120 hiring someone and
00:22:56.340 one applicant
00:22:57.080 has gone
00:22:58.320 through this
00:22:59.740 and one
00:23:00.260 applicant has
00:23:00.840 gone to
00:23:01.640 Harvard and
00:23:02.340 they both have
00:23:02.760 the same degree,
00:23:03.920 wouldn't you be?
00:23:05.460 Not at all,
00:23:06.220 because that's not
00:23:06.880 what it's going
00:23:07.240 to look like.
00:23:08.380 Because this
00:23:09.300 system, like the
00:23:10.220 Cullens Institute
00:23:10.900 itself, will be
00:23:12.020 so vast in the
00:23:13.320 degrees that it
00:23:14.280 offers, you will
00:23:15.620 have somebody
00:23:16.080 coming to you
00:23:16.560 with one Harvard
00:23:17.440 degree and then
00:23:18.580 somebody of
00:23:18.940 equivalent intelligence
00:23:19.840 and workload
00:23:20.380 coming to you
00:23:21.020 with 30 degrees
00:23:22.220 from this system.
00:23:23.320 You know, one in
00:23:23.820 English, PhD, one
00:23:25.360 in a PhD in
00:23:26.120 physics, one in
00:23:26.720 a PhD or a
00:23:27.760 master's in
00:23:28.380 evolutionary biology.
00:23:30.660 And then you, as
00:23:31.880 an individual, will
00:23:32.600 have to think which
00:23:33.300 of these individuals,
00:23:34.180 one, likely knows
00:23:35.240 more, and two, is
00:23:37.020 going to be harder
00:23:38.240 working, more frugal
00:23:39.360 and more shrewd.
00:23:40.760 And this falls into
00:23:42.460 the category of, and
00:23:43.640 a lot of people
00:23:44.040 don't know this.
00:23:45.340 So within our
00:23:46.240 generation, if you
00:23:47.000 look at the way the
00:23:47.580 university system is
00:23:48.640 ranked, it's pretty
00:23:49.780 linear in terms of
00:23:50.760 the quality
00:23:51.120 institutions.
00:23:51.860 You have the top
00:23:52.440 institutions, then you
00:23:53.580 have the institution
00:23:54.140 slightly under them,
00:23:54.920 then you have the
00:23:55.240 institution slightly
00:23:55.960 under them.
00:23:56.780 The prestige curve
00:23:58.060 is a line.
00:23:59.300 In the NBA system,
00:24:00.620 not the case.
00:24:02.100 Harvard and Stanford
00:24:02.980 MBAs are
00:24:04.520 dramatically,
00:24:05.540 dramatically,
00:24:06.120 dramatically better
00:24:07.180 than a Wharton
00:24:09.160 MBA, which is the
00:24:09.940 next best MBA, which
00:24:11.320 then is dramatically
00:24:12.200 better than a top
00:24:13.940 eight MBA, which is
00:24:14.980 like the top good
00:24:15.960 MBAs out there.
00:24:17.100 And then the top
00:24:18.180 good MBAs are
00:24:19.640 typically, like if
00:24:20.560 you're talking about
00:24:21.020 a top eight MBA,
00:24:21.960 it's almost never
00:24:22.660 worth getting an MBA
00:24:23.500 that's not in the
00:24:24.020 top eight MBAs,
00:24:24.780 because it almost
00:24:25.220 always hurts your
00:24:26.160 resume, or like
00:24:28.000 some specialized
00:24:28.740 purpose.
00:24:29.640 And people can be
00:24:30.200 like, why is this
00:24:30.960 the case?
00:24:31.340 Why do you have
00:24:31.580 this big curve
00:24:32.460 with MBAs?
00:24:33.560 And it's because
00:24:34.260 a person who
00:24:35.700 is an MBA
00:24:37.020 is a person who
00:24:38.620 thought that they
00:24:39.480 could gain more
00:24:40.440 from that school
00:24:41.340 than they could
00:24:42.540 from whatever job
00:24:43.580 that they were
00:24:44.120 at.
00:24:45.040 And when you're
00:24:46.380 talking about like
00:24:46.820 the tippy top
00:24:47.560 schools, okay,
00:24:48.460 yes, so that can
00:24:49.120 make sense with most
00:24:50.020 jobs.
00:24:50.460 When you're talking
00:24:51.100 about anything other
00:24:52.080 than the tippy top
00:24:52.880 schools, no, that
00:24:54.600 means you probably
00:24:55.580 made a bad decision
00:24:56.700 or were fired or
00:24:57.960 something like that,
00:24:59.040 so you needed to
00:24:59.660 fill a gap in your
00:25:00.440 resume.
00:25:01.320 And so that's why
00:25:02.880 MBAs are looked at
00:25:03.900 that way.
00:25:04.660 When a university
00:25:06.060 degree, and we'll get
00:25:07.020 to this in a second,
00:25:07.860 can be earned at a
00:25:09.580 fraction of the time
00:25:10.900 of the existing
00:25:11.640 system, then you have
00:25:13.640 to ask, why did you
00:25:14.580 spend four years and
00:25:15.920 tons of money to get
00:25:16.840 a Harvard degree when
00:25:18.080 you could have
00:25:18.400 gotten something
00:25:18.860 fundamentally equivalent
00:25:20.100 in a year and at
00:25:22.260 no cost, right?
00:25:23.780 And that then for
00:25:25.740 some companies that
00:25:26.940 will continue to
00:25:27.680 matter, but the
00:25:28.620 number of companies
00:25:29.540 that that continues to
00:25:30.360 matter at, I think
00:25:31.000 will shrink really
00:25:32.220 quickly, really fast.
00:25:34.200 And it will shrink
00:25:35.100 for a few reasons.
00:25:36.340 One is, is the
00:25:36.880 companies that ignore
00:25:37.480 this are just going to
00:25:38.020 get astronomically more
00:25:38.980 qualified candidates.
00:25:40.120 But then two is, is
00:25:41.860 it's not even going to
00:25:43.000 look good to Democrats.
00:25:44.280 The problem is, is
00:25:45.680 that Democrats created
00:25:46.800 a monopoly around
00:25:48.140 elitism while
00:25:49.640 pretending that they
00:25:50.680 weren't elitist.
00:25:51.960 And so as an
00:25:53.040 institution, I'm going
00:25:53.980 to have to ask
00:25:54.460 myself, why am I
00:25:55.520 respecting Harvard
00:25:56.360 degrees more when I
00:25:58.100 can provably say that
00:25:59.140 like X many degrees
00:26:00.080 from American
00:26:00.620 university is better
00:26:02.180 than a Harvard
00:26:02.760 degree.
00:26:03.540 And I think a lot
00:26:05.360 of institutions and
00:26:06.240 a lot of departments
00:26:06.820 within institutions
00:26:07.600 are going to be
00:26:07.980 like, hey, don't you
00:26:09.320 not see that this is
00:26:10.320 quote unquote racist,
00:26:11.480 especially now that
00:26:12.500 universities cannot
00:26:13.760 discriminate based on
00:26:14.940 race.
00:26:15.520 Don't you see that
00:26:16.400 this is quote unquote,
00:26:17.260 you know, classist.
00:26:19.080 And I think that just
00:26:20.340 morally, it's going to
00:26:21.220 be very hard to argue
00:26:22.100 for.
00:26:22.480 That checks out.
00:26:23.320 But who by far is
00:26:24.720 going to be screwed
00:26:25.200 the most by this isn't
00:26:26.400 institutions like Harvard,
00:26:27.620 but those degree mills,
00:26:29.360 especially the private
00:26:30.420 university system.
00:26:31.760 To give you an idea of
00:26:32.760 just how bad these
00:26:33.540 for-profit colleges
00:26:34.340 are, less than 25% of
00:26:36.300 for-profit colleges
00:26:37.080 revenue goes towards
00:26:38.220 education related
00:26:39.100 expenses, the rest
00:26:40.340 being spent on
00:26:40.880 marketing, executive
00:26:42.040 competition, and
00:26:43.400 shareholder profits.
00:26:44.340 And in terms of
00:26:45.580 financial exploitation,
00:26:47.600 while for-profit
00:26:48.380 colleges account for
00:26:49.240 13% of the student
00:26:50.420 population, they account
00:26:51.740 for 33% of federal
00:26:53.460 loan debts.
00:26:54.360 They receive 30
00:26:55.320 billion a year in
00:26:56.660 taxpayer money through
00:26:57.920 federal student aid,
00:26:59.300 making them heavily
00:27:00.380 subsidized by public
00:27:01.460 funds.
00:27:02.000 And in addition to
00:27:02.800 that, the other group
00:27:03.460 that's going to be
00:27:03.840 really screwed by this
00:27:04.620 is all of the
00:27:05.280 colleges that aren't
00:27:06.040 in like the top 10,
00:27:07.220 20% of colleges.
00:27:08.440 Because somebody is
00:27:09.180 always going to be
00:27:09.580 asking, why did you
00:27:10.340 go to like X
00:27:10.980 community college instead
00:27:12.220 of just getting a
00:27:12.880 degree from American
00:27:13.580 University?
00:27:14.340 What I will say is
00:27:15.140 this is going to
00:27:15.720 fuck some billion
00:27:17.000 dollar industries.
00:27:18.140 So if I think about
00:27:19.120 what I think would be
00:27:20.140 naturally most optimal
00:27:21.520 is we see basically
00:27:23.340 a system like
00:27:24.420 American Academy,
00:27:25.440 just be pervasively,
00:27:26.840 this is the
00:27:27.420 credentialing system,
00:27:28.400 this is how people
00:27:29.120 work, you cannot get
00:27:30.500 better resources for
00:27:31.980 learning than you can
00:27:32.820 get here, because
00:27:33.500 basically the United
00:27:34.660 States government can
00:27:35.560 afford to buy
00:27:36.180 licensing access to
00:27:37.620 whatever the best
00:27:38.540 courses are for any
00:27:39.680 particular domain,
00:27:40.540 right?
00:27:40.820 Like it just, there's
00:27:42.180 no one who can
00:27:43.040 compete with them.
00:27:43.580 And then American
00:27:45.120 Academy can just
00:27:46.180 make it free.
00:27:47.060 However, I think
00:27:48.340 that what you're
00:27:49.080 going to see is a
00:27:49.800 combination of this
00:27:50.820 and the rise of
00:27:51.880 apprenticeships again,
00:27:53.180 not internships,
00:27:54.120 paid apprenticeships,
00:27:55.220 where people then
00:27:56.880 gain that, that
00:27:58.520 credentialing and that
00:27:59.900 proof of work,
00:28:01.680 essentially like proof
00:28:02.720 that you are
00:28:03.780 articulate and
00:28:04.800 socially adept
00:28:06.280 enough and hard
00:28:07.660 working enough to
00:28:08.300 actually be trusted
00:28:09.140 to do a job and be
00:28:10.740 hired by someone else
00:28:11.820 through apprenticeships.
00:28:12.940 So it's just kind of
00:28:13.580 like, you have to
00:28:14.860 have some kind of
00:28:15.820 proving system that
00:28:17.020 involves your
00:28:17.960 demonstrating an
00:28:19.620 ability.
00:28:20.660 Yes, maybe.
00:28:21.860 I do not think that
00:28:23.200 that's true.
00:28:23.960 I think that, I think
00:28:25.020 that that's wishful
00:28:25.580 thinking.
00:28:25.980 I think that the
00:28:26.600 truth is, is whatever,
00:28:27.420 I've worked with
00:28:27.860 apprentices or interns,
00:28:28.820 they've just been a
00:28:29.280 waste of my time.
00:28:30.300 And I think that
00:28:30.960 that's why they're not
00:28:31.800 going to be picked up
00:28:32.600 in mass as much as
00:28:33.860 you would think.
00:28:34.500 We have tried to
00:28:35.700 build a system like
00:28:36.500 that called
00:28:36.940 democratized
00:28:37.480 nepotism within the
00:28:38.800 Cullens Institute.
00:28:39.480 But at the end
00:28:40.340 of the day, most
00:28:41.020 of the most
00:28:41.320 competent young
00:28:41.820 people, they just
00:28:42.300 want to start
00:28:42.680 their own thing.
00:28:43.740 And so they will
00:28:44.300 get mentors, but
00:28:45.160 those mentors are
00:28:45.700 often their
00:28:46.100 investors.
00:28:47.140 I think that what
00:28:48.180 we're really going
00:28:48.720 to see, and I
00:28:49.120 think that the
00:28:49.460 brilliance of this
00:28:50.060 system is forcing
00:28:50.920 government institutions
00:28:52.000 to take the system
00:28:52.880 seriously, is very
00:28:54.420 similar to what you
00:28:55.340 see with state
00:28:56.740 testing systems in
00:28:58.000 things like China
00:28:58.900 and in things like
00:29:00.080 South Korea, except
00:29:01.240 you're creating a
00:29:02.080 state testing system
00:29:03.460 that can work across
00:29:04.920 states.
00:29:05.860 And that's what's
00:29:06.340 also really exciting
00:29:07.400 about this, is this
00:29:08.160 is available to
00:29:08.860 people outside the
00:29:09.800 United States.
00:29:10.940 Is that true?
00:29:12.220 Yes.
00:29:12.580 And so we can even
00:29:14.800 build this into things
00:29:15.620 like the immigration
00:29:16.360 pathway.
00:29:17.460 Say if you...
00:29:18.060 Oh, like if you
00:29:19.120 have shown that you
00:29:20.360 really, really excel.
00:29:22.020 Yes.
00:29:22.600 You might even be
00:29:23.240 able to target
00:29:23.800 immigrants that are
00:29:24.720 like really doing
00:29:25.600 well within the
00:29:26.180 system or say a set
00:29:28.340 minimum restriction to
00:29:29.820 become an immigrant.
00:29:30.620 You can't get in
00:29:31.200 unless you have
00:29:31.980 successfully completed
00:29:32.760 X number of
00:29:33.560 courses.
00:29:34.520 But anyway...
00:29:34.980 In addition to
00:29:35.700 help the 40 million
00:29:36.700 Americans who have
00:29:37.640 some college
00:29:38.460 education but no
00:29:40.080 degree, the American
00:29:41.480 Academy will grant
00:29:42.580 credit for past
00:29:43.700 coursework at legacy
00:29:45.560 institutions and give
00:29:47.040 you the chance to
00:29:48.000 complete your education
00:29:49.860 at the American
00:29:50.700 Academy for free and
00:29:52.600 much more quickly than
00:29:54.100 is now possible or
00:29:55.680 available.
00:29:56.680 This will be a
00:29:57.500 revolution in higher
00:29:58.620 education and will
00:29:59.740 provide life-changing
00:30:00.960 opportunities for tens
00:30:02.520 of millions of our
00:30:03.480 citizens.
00:30:04.500 Enjoy it, learn from
00:30:06.340 it and thank you.
00:30:07.940 So I mean, the idea
00:30:10.160 here is so amazing and
00:30:12.060 I love the pointing
00:30:12.740 out that it would be
00:30:13.440 faster than the
00:30:14.320 existing system because
00:30:15.480 the existing system is
00:30:16.740 kind of dumb.
00:30:17.780 Why am I going and
00:30:18.960 sitting in class and
00:30:19.980 listening to a professor
00:30:20.800 talk to like a hundred
00:30:22.720 students when I could
00:30:24.040 be learning faster
00:30:25.440 online?
00:30:26.620 Why am I doing that?
00:30:27.600 Why when I can't ask
00:30:28.940 the professor
00:30:29.360 individualized questions
00:30:30.320 but I can ask AI
00:30:31.460 models that and they're
00:30:32.340 only getting better
00:30:33.040 every year, especially
00:30:34.480 AI models of really
00:30:35.720 smart people like
00:30:36.540 professors.
00:30:37.500 One of the companies
00:30:38.180 that reached out to us
00:30:38.760 recently, Cicero, which
00:30:40.180 will be doing a deal
00:30:41.820 with some sort, I gave
00:30:43.500 them 300 gigabytes of
00:30:45.360 video, raw video of us
00:30:46.720 to build AI models of
00:30:48.520 both of us because
00:30:49.080 they've already done so
00:30:49.940 with a number of famous
00:30:50.680 professors and they
00:30:51.620 like us and stuff like
00:30:52.860 that and so they're
00:30:53.460 going to build really,
00:30:54.700 really high quality
00:30:55.460 models of you and me
00:30:57.680 that can work with
00:30:59.340 students and that we
00:31:00.760 can build into things
00:31:01.560 like the Collins
00:31:02.060 Institute or anything
00:31:02.840 like that, which I'm
00:31:04.380 really excited about
00:31:05.320 because I think that
00:31:06.240 now that we can clone
00:31:07.540 human and human
00:31:08.980 knowledge, that's
00:31:10.280 really important from
00:31:11.200 an educational
00:31:11.960 perspective.
00:31:15.260 But yeah, what are
00:31:16.200 your thoughts overall
00:31:17.280 on this?
00:31:19.080 I think this is
00:31:20.020 great.
00:31:20.320 I mean, if anyone
00:31:23.100 who's working on this
00:31:24.220 is listening or if
00:31:26.820 you know anyone who's
00:31:27.620 listening, everything
00:31:29.580 we've developed is at
00:31:30.760 your disposal.
00:31:31.560 our nonprofit created
00:31:32.720 it.
00:31:32.940 We wouldn't like charge
00:31:34.480 the licensing to use
00:31:35.440 it.
00:31:35.560 We just want this to
00:31:36.620 happen and to whatever
00:31:37.700 extent we can help make
00:31:38.700 it happen.
00:31:39.200 Oh my gosh, please let
00:31:40.580 us help because this is
00:31:42.280 such a dream and it's so
00:31:43.420 exciting to see that we're
00:31:47.000 not alone in seeing this and
00:31:49.880 that we might actually come
00:31:52.120 to see this dream realized.
00:31:53.960 And I hope we can help
00:31:57.000 in some way.
00:31:57.800 Yeah, I also just am so
00:32:01.440 impressed when you consider
00:32:03.680 the good that this does for
00:32:05.320 our world, our society, when
00:32:07.260 contrasting with any of the
00:32:08.380 BS that progressives do.
00:32:10.220 So progressives come in, they
00:32:11.280 go, we should forgive college
00:32:13.180 debt for people who got
00:32:14.600 gender studies degrees and
00:32:16.500 other useless degrees that
00:32:17.620 can't pay for themselves.
00:32:18.380 We need to forgive college
00:32:19.560 debt.
00:32:20.240 And the new riot comes in
00:32:22.160 and we're like, hey, let's
00:32:23.380 build a college system that
00:32:24.300 doesn't create college debt in
00:32:25.540 the first place.
00:32:28.140 How is that not just
00:32:29.920 strictly like it's like
00:32:31.780 that'd be nicer.
00:32:32.840 Yeah.
00:32:33.140 The retarded retards on one
00:32:35.220 side and then you have the
00:32:36.720 competent people on the
00:32:37.760 other side.
00:32:38.500 And that that that seems to
00:32:40.180 be the dimorphic thing at
00:32:41.740 play here is are you
00:32:42.900 retarded?
00:32:44.000 Now, I guess what I really
00:32:45.140 want to know is, are they
00:32:46.480 dangerous?
00:32:47.380 Gay people?
00:32:48.020 They can be.
00:32:48.920 No retarded people.
00:32:50.280 I don't know, but I do know
00:32:51.100 where we can find out.
00:32:52.060 Oh, here we go.
00:32:52.740 Retardation, a celebration.
00:32:56.420 Let's read it now.
00:32:59.480 Let's see.
00:33:01.920 This is Wilford Brimley.
00:33:03.900 Welcome to Retardation, a
00:33:05.500 celebration.
00:33:06.700 Now, hopefully with this book,
00:33:07.740 I'm going to dispel a few
00:33:08.460 myths, a few rumors.
00:33:10.660 First off, the retarded don't
00:33:12.040 rule the night.
00:33:13.000 They don't rule it.
00:33:14.120 Nobody does.
00:33:15.540 And they don't run in packs.
00:33:17.100 And while they may not be as
00:33:17.980 strong as apes, don't lock
00:33:19.400 eyes with them.
00:33:20.040 Don't do it.
00:33:20.780 Puts them on edge.
00:33:21.600 They might go into berserker
00:33:23.120 mode, come at you like a
00:33:24.400 whirling dervish, all fists
00:33:26.040 and elbows.
00:33:27.260 You might be screaming, no,
00:33:28.660 no, no.
00:33:29.880 All they hear is, who wants
00:33:31.260 cake?
00:33:32.360 Let me tell you something.
00:33:33.140 They all do.
00:33:34.240 They all want cake.
00:33:36.120 I think a lot of people don't
00:33:38.020 have the creativity to think,
00:33:40.940 what if we just burned it down
00:33:43.680 and started fresh?
00:33:45.140 And I think a lot of it's
00:33:46.200 cultural, too.
00:33:46.980 Like, a lot of people just
00:33:47.800 don't have the cultural
00:33:48.680 framework or just, like,
00:33:50.380 mindset to be comfortable
00:33:51.980 with that or be capable of
00:33:53.860 imagining how that would
00:33:54.740 play out.
00:33:55.700 And that's, again, why you
00:33:56.700 see this mixture of
00:33:57.700 Appalachian, Backwoods,
00:33:59.700 Scots, Irish, plus
00:34:01.400 Silicon Valley.
00:34:02.620 Like, these are two mindsets
00:34:03.680 that are like, why wouldn't we
00:34:05.080 build something entirely new?
00:34:07.020 Why wouldn't we?
00:34:08.020 Versus this much more
00:34:09.500 legacy-based, iterative-based,
00:34:12.620 bureaucracy-based, like, well,
00:34:14.140 let's take the machine and then
00:34:16.060 we tweak the machine and we
00:34:17.520 don't mess with the machine
00:34:18.660 too much because that one
00:34:20.500 doesn't touch the machine,
00:34:21.740 it's the machine.
00:34:23.180 And, yeah, it does seem
00:34:24.940 cultural, but I like to see
00:34:26.060 this culture rise.
00:34:27.780 I like to see your talk of a
00:34:29.060 machine here because it is
00:34:30.300 true.
00:34:30.600 It's almost like we live in,
00:34:32.700 let's say, some vault and
00:34:34.300 they built a religion around
00:34:35.660 the machine and the machine is
00:34:36.940 like the bureaucratic systems.
00:34:39.100 And it used to be that both the
00:34:40.260 left and the right believed in
00:34:41.560 this religion.
00:34:42.120 You can't touch the machine.
00:34:43.320 The machine is sacred.
00:34:44.360 You can't, oh my gosh,
00:34:45.800 you can't suggest improvements
00:34:47.520 to the machine.
00:34:48.440 You can, you can tweak a part
00:34:50.100 here or there, but no, you
00:34:51.580 can't rebuild parts of the
00:34:52.820 machine, the machine.
00:34:54.540 And this new faction doesn't
00:34:56.800 have a reverence for the
00:34:57.620 machine.
00:34:57.880 And I also think it highlights
00:34:58.960 that the new right, the way it
00:35:01.880 approaches things, the people
00:35:03.620 who are telling you that it's
00:35:04.900 an iteration on the old
00:35:06.240 right or the old right that is
00:35:07.600 drifted in one direction or an
00:35:08.820 extremist faction was in the
00:35:09.920 old right as much as the left is
00:35:11.040 saying.
00:35:11.600 It's nothing like the old right.
00:35:13.080 This is not the stuff that Pat
00:35:15.260 Buchanan was fighting for.
00:35:17.060 This is not the stuff that, that,
00:35:19.140 you know, who is the one who is
00:35:20.420 campaigning was Kamala Harris
00:35:22.380 recently.
00:35:23.100 Tim Walz?
00:35:24.220 What?
00:35:24.640 The old Republican whose daughter
00:35:26.320 is a...
00:35:26.880 Dick Cheney?
00:35:27.680 Yeah, Dick Cheney.
00:35:28.720 This is not like Dick Cheney
00:35:30.380 Republicanism, right?
00:35:32.500 Dick Cheney campaigning with
00:35:34.100 Kamala Harris.
00:35:34.720 Like they work together because
00:35:35.800 they both work with the system.
00:35:37.440 Well, and that's as Peter Thiel
00:35:38.900 recently had an interview with
00:35:40.460 Barry Weiss on the Honestly
00:35:42.440 podcast and he was talking
00:35:43.680 about the machine that had
00:35:46.860 sort of circumvented the
00:35:49.200 primary for the Democratic
00:35:51.320 Party and then had sort of
00:35:53.480 very, very undemocratically
00:35:54.820 then selected Kamala Harris
00:35:56.240 and that it wasn't any person
00:35:58.320 that there aren't, this isn't
00:35:59.800 something that people are
00:36:00.820 doing.
00:36:01.360 It really is a machine and
00:36:02.660 this is this very inhuman
00:36:05.920 bureaucracy that had come to
00:36:07.400 take control of the Democratic
00:36:08.640 Party.
00:36:09.080 And Thiel's concern was if
00:36:12.440 they had won there, there
00:36:13.740 might be no stopping that
00:36:15.040 machine ever.
00:36:16.120 Oh, no, I agree.
00:36:16.940 This was such a scary election.
00:36:18.860 And I think that when you look
00:36:20.480 at what the Democratic Party
00:36:22.260 has become and what also the
00:36:23.820 legacy university system
00:36:25.520 represents is there there is
00:36:27.840 no like sinister bad actor
00:36:30.120 like, you know, putting
00:36:31.380 everything into place.
00:36:32.520 It is just a faceless, mindless
00:36:34.740 machine that has gone out of
00:36:36.340 control, that is causing bad
00:36:37.560 things to happen, that it has
00:36:38.700 to be dismantled.
00:36:40.640 This isn't about bad people.
00:36:43.420 The people within the machine
00:36:44.520 think they're doing the right
00:36:45.580 thing.
00:36:46.340 I know you disagree with me.
00:36:47.920 I mean, I think the machine
00:36:49.280 is one way to put it, but I
00:36:50.540 think the machine undersells
00:36:52.420 the negative effects that human
00:36:53.980 actors are causing.
00:36:55.720 Specifically, I would put it more
00:36:57.420 as a memetic virus, like the
00:36:59.580 cordyceps virus, you know, a
00:37:01.420 fungus which can infect ants and
00:37:03.300 then takes over their bodies and
00:37:04.700 then causes them to do whatever
00:37:05.900 spreads the virus.
00:37:07.500 And parts of this virus are much
00:37:09.080 more complicated than the
00:37:10.040 cordyceps virus.
00:37:11.280 Parts of it create giant
00:37:12.480 bureaucratic structures which
00:37:13.620 serve just to spread the virus.
00:37:15.360 It's a very complicated virus,
00:37:17.580 but it is a virus and in a world
00:37:20.300 of zombies nonetheless.
00:37:22.340 And it should scare you.
00:37:23.820 These people should scare you as
00:37:25.600 much as somebody with a zombie
00:37:27.240 virus.
00:37:28.160 They should scare you if your kids
00:37:29.440 are alone with them.
00:37:30.280 They should scare you because all
00:37:32.420 they live for is to spread the
00:37:34.600 virus and to reinforce the
00:37:35.860 virus.
00:37:36.500 Anyone who was sane during this
00:37:38.500 election cycle saw the Democrats
00:37:39.920 descend into fascism.
00:37:41.520 They saw their party cancel
00:37:42.760 elections.
00:37:43.960 They saw, like, in the primaries,
00:37:46.600 they saw their party use the
00:37:47.960 court system to hit Donald Trump
00:37:50.480 with ridiculous lawsuits where he
00:37:52.200 was deemed a felon for paying
00:37:54.220 prostitutes.
00:37:54.900 I thought that's what you were
00:37:55.720 supposed to do as prostitutes,
00:37:56.920 is pay them.
00:37:57.880 Like, how does it, what?
00:37:59.160 Like, the whole thing was just
00:38:00.720 ridiculous to begin with.
00:38:02.320 And then people were like, no,
00:38:03.000 it's mislabeling how you paid
00:38:04.480 prostitutes.
00:38:05.240 Oh, yes, he's going to write, I
00:38:06.600 paid my prostitutes.
00:38:07.780 Malcolm, she wasn't a, she was a
00:38:09.580 porn star.
00:38:10.460 She was a porn star who was being
00:38:11.500 paid hush money.
00:38:12.240 But let me tell you what.
00:38:13.240 Yeah, that's not prostitution.
00:38:14.960 Did not label hush money payments
00:38:17.520 to the maid.
00:38:18.420 The point being is that it was
00:38:19.880 obviously just weaponizing the
00:38:21.340 court systems against the
00:38:22.340 candidate.
00:38:22.920 It was very in a dictatorship.
00:38:24.800 It had already descended into
00:38:26.160 that.
00:38:26.840 But when you're in the machine,
00:38:27.880 when the virus has started to
00:38:30.040 eat your brain, you can't see
00:38:33.040 the bad things that the virus
00:38:35.500 is doing.
00:38:36.220 You can see some of it.
00:38:37.160 Some of it makes you feel
00:38:37.880 uncomfortable.
00:38:38.440 The places where you find
00:38:39.420 yourself silencing yourself.
00:38:40.940 But you really believe when you
00:38:42.660 say felon Trump, you are
00:38:44.080 discrediting him instead of just
00:38:45.980 highlighting how he's been
00:38:47.200 unjustly persecuted by the virus
00:38:49.280 and the machine.
00:38:50.280 You really have these blind spots
00:38:53.660 in how you're describing and
00:38:54.780 interacting with the world.
00:38:55.660 You really believe when you go
00:38:57.460 out there and you're acting like
00:38:58.800 this is the Republican Party of
00:39:00.220 the 90s, you know, the
00:39:01.480 homophobic party instead of the
00:39:02.620 party that like probably and I
00:39:04.380 think we'll see that the next
00:39:05.060 in polling about half of gay men
00:39:06.380 are voting for 45 percent was in
00:39:08.240 one poll in the last election
00:39:09.220 cycle, 35 percent within another
00:39:10.480 in the last election cycle.
00:39:11.400 But it's been moving really
00:39:12.180 quickly.
00:39:12.940 But I think that you say, oh,
00:39:15.080 they're trying to stamp us out
00:39:16.500 when the exact opposite is the
00:39:17.900 case.
00:39:18.820 You know, they're the only real
00:39:20.380 defenders of the real gays left
00:39:22.280 as their movement is taken over
00:39:23.660 by people who just identify as gay.
00:39:25.880 Instead of actually had had to
00:39:27.940 suffer because of any any.
00:39:30.480 And I think that this also it
00:39:32.620 doesn't just piss off the left
00:39:33.760 that this transition is
00:39:34.500 happening and we need to admit
00:39:36.320 that in part I can understand
00:39:37.620 there's a part of the right
00:39:38.620 that's just like the new right
00:39:41.740 is just what the left was in the
00:39:43.320 90s.
00:39:43.780 And this is functionally not true.
00:39:45.880 It has some left wing policies
00:39:47.440 from the 90s like we're OK with
00:39:48.960 gay people.
00:39:50.220 But other things like the left in
00:39:52.220 the 90s was not about recreating
00:39:53.960 the entire university system like
00:39:56.220 those weren't the types of
00:39:57.400 policies that it was rushing to
00:39:58.880 when it ran us won a cycle.
00:40:00.920 The new right is a completely
00:40:02.640 new thing that is not like the
00:40:05.380 old left.
00:40:06.240 But it's it's also largely a
00:40:08.220 product of the fact that we are
00:40:09.560 in the midst of a technological
00:40:11.160 paradigm shift and that the
00:40:13.060 resources available to Americans
00:40:14.860 and and the resources available to
00:40:17.220 literally run the country and run
00:40:19.000 society are fundamentally different
00:40:21.760 than they were even 15 years ago.
00:40:24.600 And that as such, it is our
00:40:26.560 obligation to reinvent a lot of
00:40:28.060 these systems.
00:40:28.600 And we have to remember, I mean,
00:40:30.760 Curtis Yarvin really reminded us
00:40:32.400 when especially me when we were
00:40:34.160 talking that what the original
00:40:36.180 founding fathers had built one at
00:40:38.260 one, they were rebuilding things
00:40:39.940 quite fundamentally, very
00:40:41.180 innovatively.
00:40:41.900 Right.
00:40:42.480 These were people who are willing to
00:40:43.920 start fresh and build from first
00:40:45.540 principles to a great extent that
00:40:47.940 we've we've really drifted from
00:40:49.760 their original vision significantly.
00:40:51.500 And a lot of people are trying to
00:40:53.620 argue that we can't make changes
00:40:56.460 because this system is
00:40:58.480 unimpeachable when it was never
00:41:00.140 meant to be this ossified system
00:41:02.040 it's become.
00:41:03.440 So I think that, you know, when
00:41:05.080 people are concerned about these
00:41:07.060 changes or they call them
00:41:08.340 anti-democratic or they call them
00:41:10.160 autocratic and creepy and weird or
00:41:13.380 whatever, I don't even know what
00:41:15.340 the attacks are going to be yet.
00:41:16.620 They're forgetting how our country
00:41:20.040 was started and the minds of the
00:41:21.800 people who started it and the fact
00:41:23.140 that our our nation is is based on
00:41:26.160 this foundation of people saying we
00:41:29.000 live in a new world now.
00:41:30.380 We need to start with new systems.
00:41:32.780 Well, I see that the the the the the
00:41:35.040 deep state is real.
00:41:36.340 The virus is real.
00:41:37.500 It shouldn't just be thought of the
00:41:38.680 deep state.
00:41:39.300 I mean, it's it's a virus.
00:41:40.560 These people believe they're in the
00:41:42.420 right.
00:41:42.860 They literally like Harry Potter can't
00:41:45.180 see like in Harry Potter, like the
00:41:47.220 muggles can't see magic.
00:41:48.560 They can't see all the deception
00:41:50.420 around them because part of them is
00:41:52.200 willfully ignorant to it because they
00:41:53.800 know that they need to pretend to not
00:41:55.580 see the deception to maintain their
00:41:57.360 class status within the society that
00:41:59.660 the leftists have built.
00:42:00.980 And I think the infected have built.
00:42:03.480 And I think that a lot of people may
00:42:05.480 hear all of this and they may think
00:42:07.140 that this is something where we would
00:42:09.540 be disheartened.
00:42:10.180 disheartened and I don't feel that way
00:42:12.660 at all.
00:42:12.900 And this is one of the things where
00:42:13.640 people are always like, oh, it's your
00:42:14.480 mission.
00:42:14.800 You guys must be so disheartened.
00:42:15.920 There's an anime recently called
00:42:17.600 ZOM 100 and in it a office worker
00:42:20.780 that you watch some of it with me in
00:42:22.500 Japan who just hates his life as like
00:42:25.120 a day to day office worker in Japan,
00:42:26.540 not a good life.
00:42:27.620 And then the world descends into
00:42:28.880 zombies and he's just like, awesome.
00:42:31.300 Like I get to run away from zombies all
00:42:33.280 the time.
00:42:33.640 It's not like my white life mattered
00:42:34.960 before I get to live this sort of
00:42:37.080 action hero lifestyle.
00:42:38.340 And as society has descended into the
00:42:40.760 world of the cordyceps virus, as it's
00:42:43.000 descended into the world of these
00:42:44.780 memetic zombies walking around,
00:42:47.360 chasing everyone, I feel very much
00:42:49.740 like that office worker where I'm just
00:42:51.880 running around being like, woo, we
00:42:54.120 get to be lone independence fighting
00:42:56.420 the system, but the system is
00:42:58.280 zombified.
00:42:59.100 So it's stupid and retarded and like
00:43:01.300 can barely shamble to catch us.
00:43:03.560 And we just get to like jump over here
00:43:05.340 and be like, ha ha ha ha ha, na na na
00:43:07.420 boo boo, and then the Guardian does
00:43:09.280 another article on us and ends up
00:43:11.300 contributing to our fame more.
00:43:12.900 And then we jump over here.
00:43:14.240 Na na na na na na, boo boo boo boo boo boo.
00:43:16.700 And then the Wall Street Journal does
00:43:18.000 have some big feature on us.
00:43:19.640 And we, and I think that Trump as
00:43:21.960 well and is able to win elections
00:43:24.140 through stuff like this.
00:43:25.140 Why the hell do I work so hard?
00:43:28.020 Good Lord.
00:43:29.060 Someone pull me up a double shot.
00:43:30.840 Me and Jay Dale's got a history.
00:43:33.120 There's a party downtown near Fifth
00:43:35.560 Street.
00:43:36.360 Everybody at the bar.
00:43:38.000 In Texas.
00:43:42.500 Everybody at the bar.
00:43:43.960 Done.
00:43:44.580 It's getting kind of late, but the
00:43:46.200 ladies want some more.
00:43:47.620 And I think that the whole system
00:43:49.540 is just so witless.
00:43:51.860 It's like a giant leviathan
00:43:53.760 that lungs are collapsing
00:43:56.180 under the weight of all of the
00:43:57.560 cancerous tumors that have built up
00:43:59.260 within it.
00:44:00.180 Like blindly swatting
00:44:02.640 at this enemy.
00:44:04.140 It can barely fight.
00:44:05.340 And yes, we're much smaller
00:44:06.640 than the leviathan.
00:44:07.900 But at the end of the day,
00:44:09.180 the leviathan
00:44:09.980 could kill us.
00:44:12.080 If it lands one of these swats,
00:44:14.140 people do get swatted.
00:44:15.280 They do get smashed.
00:44:16.260 They do get their lives and careers
00:44:17.500 destroyed.
00:44:18.540 But I'd say in large part,
00:44:19.620 thanks to Elon buying X,
00:44:21.460 this has changed.
00:44:22.800 Really, and we pointed this out
00:44:24.000 with our cancellations
00:44:24.880 or over episodes,
00:44:25.580 since the acquisition of X,
00:44:27.480 the left has had almost
00:44:28.880 no ability to cancel people.
00:44:31.420 And it's tried to.
00:44:32.640 It's tried to cancel us.
00:44:34.020 And everyone was like
00:44:34.940 that Ted Nugent thing.
00:44:36.060 Like, oh, by the way,
00:44:37.000 hold on.
00:44:37.620 Great news, Simone.
00:44:38.700 I told you this.
00:44:39.800 The Guardian, which has done
00:44:40.800 three hit pieces on us this year,
00:44:42.220 it keeps trying to cancel us
00:44:43.440 over and over and over again.
00:44:45.120 It has a policy now
00:44:47.200 where it doesn't post
00:44:47.960 on X slash Twitter anymore.
00:44:49.700 Wait, why?
00:44:50.940 Because all it was getting
00:44:52.080 was like hate
00:44:52.740 and it kept getting
00:44:53.480 community flagged
00:44:54.380 that its articles
00:44:54.980 were inaccurate
00:44:55.660 whenever it was posting them.
00:44:56.760 Well, that's really funny.
00:44:58.420 And isn't that amazing?
00:45:01.860 The X is awesome.
00:45:04.060 You know, I just also like,
00:45:06.880 I think that these publications
00:45:08.340 are becoming,
00:45:10.400 New York Times
00:45:11.620 and The Guardian,
00:45:13.120 they are no more now
00:45:14.680 than glorified sub stacks.
00:45:16.440 And I think that quite concretely
00:45:19.260 that a lot of sub stacks
00:45:21.600 make more in revenue
00:45:23.360 than The New York Times
00:45:24.680 and than The Guardian.
00:45:26.300 And that is fundamentally
00:45:27.960 shifting media.
00:45:29.620 Like we've been talking
00:45:30.240 about this all week,
00:45:31.120 you and me.
00:45:31.700 And I was just listening
00:45:32.620 to another podcast
00:45:34.220 called The Ruthless Variety Program.
00:45:35.900 And they were talking about
00:45:37.260 how they wanted to have
00:45:38.000 this one guy from CNN
00:45:39.180 on that they really liked
00:45:40.280 just to have him on
00:45:41.000 as a guest
00:45:41.440 CNN disallowed this man
00:45:44.800 from coming on the show
00:45:45.840 because they cited
00:45:47.020 The Ruthless Variety Program,
00:45:48.580 a podcast and a YouTube channel
00:45:50.080 as a competitor.
00:45:52.840 And so now it's basically explicit
00:45:54.260 that these even TV channels
00:45:58.400 that we grew up with
00:45:59.940 thinking is like famous,
00:46:00.940 like this is where the news
00:46:02.020 comes from.
00:46:02.600 It's CNN.
00:46:03.320 It's a TV channel.
00:46:04.160 Like it's a big thing.
00:46:05.380 24-7 news,
00:46:06.960 like huge staffs,
00:46:08.060 famous people
00:46:08.920 are now scared
00:46:11.880 of,
00:46:13.560 I think The Ruthless Variety Program
00:46:14.940 started in like
00:46:15.860 2019 or something.
00:46:19.140 It wasn't,
00:46:20.640 it's not a very old podcast.
00:46:22.700 So people understand
00:46:23.920 how big this is.
00:46:24.920 MSN and MSNBC
00:46:26.760 combines election coverage
00:46:28.540 had a lower watch
00:46:30.040 than Rumble's election coverage.
00:46:32.340 Rumble.
00:46:34.020 Nobody uses,
00:46:35.160 we post on Rumble,
00:46:36.160 but like I'll get like 57 views
00:46:37.900 per video on it.
00:46:38.560 Like it's nothing.
00:46:39.440 And for people who understand,
00:46:40.700 like we also have been able
00:46:42.600 to rise as figures
00:46:44.200 even with the left's anger
00:46:46.100 despite all of this.
00:46:47.640 And by the way,
00:46:48.040 the next,
00:46:48.780 the next video
00:46:49.420 that we're going to do
00:46:50.120 on another one of Trump's orders
00:46:51.460 trying to defend
00:46:52.720 freedom of speech
00:46:53.320 within these platforms,
00:46:54.040 it's going to be huge
00:46:54.840 for us on platforms
00:46:55.580 like Google
00:46:56.220 because they won't be able
00:46:57.040 to swat at us anymore,
00:46:58.060 which they do now
00:46:58.980 whenever we do something naughty.
00:47:00.360 Oh, you're going to be
00:47:00.960 excited about this.
00:47:02.160 But, you know,
00:47:03.140 we've been able to,
00:47:03.880 I checked our rank,
00:47:04.540 our rank is originally recently.
00:47:05.740 We're now in the top 2.5%
00:47:07.360 of podcasts in the world.
00:47:08.980 So I just got to keep rising,
00:47:10.640 get to that top 1% category.
00:47:12.160 That's what I'm aiming for.
00:47:13.280 I think we'll be there in a year.
00:47:14.840 But what it means
00:47:16.240 is we compete with dozens.
00:47:18.260 As we pointed out
00:47:18.860 where the episode
00:47:19.260 where we analyze
00:47:19.840 how much people
00:47:20.700 actually watch
00:47:21.460 the New York Times,
00:47:23.200 we get watch time equivalent
00:47:25.060 to what seven
00:47:25.880 New York Times journalists
00:47:26.860 are getting in terms
00:47:27.900 of read time
00:47:28.740 of articles
00:47:29.320 that they're writing
00:47:29.940 or involved
00:47:31.580 in contributing to,
00:47:32.880 which is,
00:47:33.360 sorry, seven.
00:47:34.140 And when I say seven,
00:47:34.840 I mean seven for each of us.
00:47:35.920 So 14 for the show,
00:47:37.220 which is absolutely wild
00:47:38.980 how irrelevant
00:47:39.760 traditional news
00:47:40.780 is becoming
00:47:41.460 in this ecosystem.
00:47:42.800 And it's become
00:47:43.860 even more irrelevant
00:47:44.640 after the results
00:47:45.340 were announced
00:47:45.700 for this election
00:47:46.300 because everyone was like,
00:47:47.960 wait,
00:47:48.740 so you've been gaslighting me
00:47:49.860 for the past six months?
00:47:50.660 Like,
00:47:50.800 I want you to learn
00:47:51.720 about the world.
00:47:52.640 You said,
00:47:53.340 I think when Hillary Clinton lost,
00:47:55.260 everyone is like,
00:47:55.780 the pollster's fucked up.
00:47:58.500 This time,
00:47:59.300 everyone was like,
00:48:00.680 oh,
00:48:01.580 the news media
00:48:02.540 was lying to me.
00:48:03.420 They don't understand
00:48:04.460 at a basic level
00:48:05.380 how Americans think.
00:48:06.680 And you can watch our video
00:48:07.720 of how Democrats
00:48:08.480 can win again.
00:48:09.980 And in that video,
00:48:10.700 we go over stuff
00:48:11.340 from the New York Times,
00:48:12.160 like we have clips
00:48:12.720 from the New York Times podcast.
00:48:14.440 And you can see
00:48:15.340 how fundamentally
00:48:16.100 they don't understand
00:48:17.120 the average American.
00:48:18.300 They're like,
00:48:18.680 we need to reach
00:48:20.080 the American working class
00:48:21.880 by better appealing
00:48:23.520 to black women.
00:48:25.760 Because they said
00:48:26.520 the black women
00:48:27.320 are America's working class
00:48:29.060 and America's working class.
00:48:29.980 I think one of the challenges
00:48:31.240 that the Democratic Party has
00:48:32.840 is that they are going
00:48:33.780 to have to rediscover
00:48:34.980 the language of class
00:48:36.920 and not what class meant
00:48:38.420 in the 1960s.
00:48:40.200 Yeah.
00:48:40.420 But the understanding
00:48:42.160 that really
00:48:42.860 the working class today
00:48:43.900 are women
00:48:44.680 and women of color.
00:48:45.820 I was like,
00:48:46.160 what,
00:48:46.480 what are you,
00:48:47.200 what,
00:48:47.520 what,
00:48:47.940 what,
00:48:48.400 what,
00:48:48.720 what,
00:48:48.900 what?
00:48:50.040 Have you lost
00:48:51.180 your fucking mind?
00:48:52.940 And again,
00:48:53.380 I'm not saying
00:48:53.800 we don't appeal
00:48:54.900 to black women.
00:48:55.560 I'm just saying
00:48:56.160 that that mindset
00:48:58.280 has nothing to do
00:48:59.480 with appealing
00:49:00.020 to America's working class.
00:49:02.020 America's working class
00:49:03.020 just want to put food
00:49:03.820 on their table,
00:49:04.300 whether they're a black woman
00:49:05.460 or a white man.
00:49:06.760 And the left
00:49:07.720 doesn't care about them.
00:49:08.720 And I also find it
00:49:09.300 really interesting,
00:49:10.160 all these crying videos
00:49:11.240 I see after the election loss,
00:49:12.480 which is like,
00:49:13.180 you did this
00:49:13.880 just for cheaper eggs
00:49:15.620 and bread.
00:49:16.440 And it's like,
00:49:17.460 no,
00:49:17.620 they did this
00:49:18.180 to feed their family.
00:49:19.720 It's that you have
00:49:20.760 no one that relies on you
00:49:22.340 that you don't understand
00:49:23.720 what a hungry child
00:49:24.720 looks like
00:49:25.220 because of expensive
00:49:26.200 eggs and bread.
00:49:27.000 Okay?
00:49:29.640 Yeah.
00:49:30.560 It's not just
00:49:31.780 cheaper eggs and bread
00:49:33.000 if they didn't want
00:49:33.920 their children to starve.
00:49:36.360 Okay?
00:49:36.600 They're the big,
00:49:37.880 the psychosis of the left
00:49:40.640 because they don't actually
00:49:41.780 live in any sort
00:49:42.440 of a scarcity world
00:49:43.300 because they live off
00:49:44.020 of government assistance.
00:49:45.740 They're not aware of,
00:49:47.640 they see everything
00:49:48.480 as cheapness
00:49:49.120 of a luxury product
00:49:50.160 instead of as,
00:49:52.720 anyway,
00:49:53.340 love you to death, Simone.
00:49:54.340 I am so happy
00:49:55.740 with this administration
00:49:56.580 and I am so happy
00:49:58.000 to discuss this
00:49:58.740 next big change.
00:50:00.120 God bless America.
00:50:05.700 What is she doing?
00:50:08.420 Aw,
00:50:09.320 her shirt says
00:50:11.200 Daddy's Little MVP.
00:50:13.280 Oh, it does?
00:50:14.200 Yeah.
00:50:15.260 Are you Daddy's Little MVP?
00:50:17.460 Aren't you?
00:50:18.260 What is the name
00:50:19.620 of the next episode
00:50:21.200 I should send to you?
00:50:22.020 Oh, I'll stop recording.
00:50:23.480 Sorry, I'm trying to find...
00:50:24.660 It's got to happen.
00:50:27.520 So many things
00:50:28.260 happened this weekend.
00:50:30.500 It just,
00:50:31.600 it's a little messy up here.
00:50:32.900 What else is happening
00:50:33.680 this weekend?
00:50:35.220 Well,
00:50:35.800 I'm making your
00:50:37.240 yam casserole,
00:50:39.000 I'm making pumpkin soup
00:50:40.320 and roasting pumpkin,
00:50:41.500 I'm decorating the house
00:50:42.360 for Christmas,
00:50:42.920 and cleaning the whole house
00:50:44.580 every week
00:50:45.300 is a huge undertaking.
00:50:47.560 You're quite the domestic,
00:50:49.040 Simone.
00:50:49.380 I'm very lucky
00:50:50.120 to be married to you.
00:50:50.520 I mean,
00:50:50.700 it doesn't sound like a lot,
00:50:51.980 but like physically
00:50:52.900 at the end of each day
00:50:54.460 I am
00:50:55.080 spent.
00:50:57.660 So,
00:50:58.080 big weekend.
00:50:59.640 Not that the food making
00:51:00.820 is not hard, but...
00:51:01.900 I just know
00:51:02.680 it's all appreciated, Simone.
00:51:04.080 I know how hard it all is
00:51:05.240 and I know what my room
00:51:06.140 looks like
00:51:06.520 because it doesn't get
00:51:07.180 that treatment.
00:51:08.140 It could.
00:51:08.380 It's not that you
00:51:09.900 don't want to.
00:51:10.640 It could.
00:51:11.120 If you vacated it
00:51:13.060 and let me,
00:51:14.000 I would
00:51:14.440 go in
00:51:17.280 with my hazmat suit.
00:51:20.300 And white.
00:51:21.700 Oh, really?
00:51:22.800 Yeah.
00:51:23.480 Are those your favorite colors?
00:51:24.920 Look,
00:51:25.740 there's
00:51:26.140 a white
00:51:27.600 rectangle.
00:51:30.180 Really?
00:51:31.600 Yeah.
00:51:32.740 And white
00:51:33.680 of red stars.
00:51:35.620 And were you reading
00:51:36.240 a book?
00:51:37.460 Look,
00:51:38.380 there's
00:51:39.260 there's
00:51:39.860 blue
00:51:40.380 there's
00:51:41.660 blue
00:51:42.200 there's
00:51:43.280 look
00:51:43.740 white
00:51:45.080 there's
00:51:47.600 two white
00:51:48.680 stars
00:51:49.160 and
00:51:49.740 one
00:51:50.640 big
00:51:51.720 red
00:51:52.580 star.
00:51:53.620 Wow.
00:51:54.840 Where's
00:51:55.320 the blue
00:51:55.760 big star?
00:51:57.320 There are blue
00:51:57.900 little stars
00:51:58.540 in the pattern.
00:51:59.520 If you look here,
00:52:01.340 all of those
00:52:02.380 are little stars.
00:52:03.720 You see?
00:52:04.120 And look,
00:52:04.820 it's a
00:52:05.240 big
00:52:06.420 big
00:52:08.700 it's a
00:52:10.300 big
00:52:10.740 red
00:52:11.920 star.
00:52:12.620 Wow.