Based Camp - October 01, 2025


Google Reveals How Biden Admin Brainwashed Public


Episode Stats

Length

46 minutes

Words per Minute

176.67352

Word Count

8,194

Sentence Count

637

Misogynist Sentences

9

Hate Speech Sentences

19


Summary

In this episode, Simone and I discuss the censorship of conservative media outlets by the mainstream media, and how it relates to the current state of free speech in the United Kingdom. We also discuss the Biden administration's censorship of right-wing media outlets, and why we should be worried about it.


Transcript

00:00:00.520 Hello, Simone! Today we are going to be talking about news, which is largely being covered up by mainstream news organizations that just two weeks ago were freaking out that Trump threatened to pull Jimmy Kimmel from the air, or threatened to put pressure to pull Jimmy Kimmel from the air, for lying, lying, I should point out.
00:00:21.720 Not like a character attack that he did on somebody, or disagreeing with Trump's politics, but lying about an assassin, somebody who's killed, right?
00:00:34.720 So Trump goes, all these organizations freaking out about this.
00:00:38.120 It drops, literally, like within four days of that, we're covering this a little late, that Google admitted that the Biden administration had secretly gotten them to censor wide swaths of mildly right-wing information, and, we'll get into this, very true information, okay, that we now know is what was true from a lot of studies that we're going to go over now.
00:01:05.340 And I think that this, fundamentally, when people are like, the difference between the left and the right, is the modern right threatens to censor you for lying.
00:01:16.460 The modern left will ban you without telling you or anyone else for telling the truth.
00:01:25.340 If you can't tell who the fascist is there, you know, be aware.
00:01:30.420 And I'll point out, like, another thing that will be a part of this, which I think is important to talk about, is sort of what's going on with free speech in the UK right now.
00:01:41.060 And we've talked about it before, so I'm not going to go too deep.
00:01:43.340 But the complete degradation and subjugation of the British people, where one person, for example, Garim Evans, this is in 2023, in Fife, Scotland, which is where I lived in Scotland, actually, wrote, Islam is questionable on the exterior of her home, and was arrested for that.
00:02:01.520 It was her private property.
00:02:04.100 It was.
00:02:05.120 And all, he didn't say, Islam is evil.
00:02:06.980 Islam, he said, Islam is questionable.
00:02:08.820 And basically, the cops showed up, and they go, no, it's not.
00:02:12.480 Not in the UK.
00:02:13.580 Now, the reason why this is important to note here is if you wrote that about Christianity, or if you wrote that about Judaism, you would not be arrested.
00:02:24.500 And this is true sort of across the progressive sphere, which is there are classes of people that you are allowed to question and classes of people that you are not allowed to question.
00:02:34.540 And I think through that, it's easy to form an alliance, which I think is why the Christian communities and the Jewish communities have come together so much recently, is like, hey, they want to get rid of you too?
00:02:47.140 Maybe we have some overlapping interests at the moment.
00:02:50.600 Well, no, I mean, it matters, like, a lot to me, that you literally can't write, and we'll go into other instances, because he was released after being in jail for a while.
00:03:01.920 But the point being is, like, that he was arrested at all for just saying, like, can you question Islam?
00:03:07.240 Like, is this a thing that we're allowed to do in this society?
00:03:11.420 And was very loudly told no.
00:03:13.840 No.
00:03:14.420 Free speech, or, well, I shouldn't say free.
00:03:16.580 Speech in the UK is terrifying.
00:03:18.580 It's not a free country anymore.
00:03:20.720 It is a dictatorship.
00:03:22.540 Well, I would say a totalitarian non-dictatorship, like a totalitarian sort of bureaucracy.
00:03:27.560 Oh, that's even scarier.
00:03:30.200 It both is restrictive, but also it doesn't get anything done.
00:03:34.980 Like, what is worse than that?
00:03:36.900 At least in China, they can, like, I'm just going to put the freeway there, tough shit.
00:03:40.940 But, like, oh, I'm just going to put the freeway there, tough.
00:03:43.500 But then, you know, in the UK, it's just everything's slowed down by the bureaucracy, and you don't have the freedoms.
00:03:50.120 Well, I want to point out here to people who are like, well, you know, you're criticizing progressives for using the government.
00:03:55.680 We'll go into how they use the government to ban these platforms, the type of things they were getting banned.
00:03:59.100 And you criticize progressives for doing this.
00:04:01.820 Why do you want Trump to do the same sorts of things?
00:04:06.120 And my answer is because they will not make it illegal if we do not also abuse it.
00:04:11.720 That's the fact of it.
00:04:13.840 When this came to the Supreme Court, that the Biden administration had done this, despite people who had YouTube channels with millions of followers being shut down for saying things that were true,
00:04:24.440 that they said no harm had come to anyone, and so it lost at the Supreme Court.
00:04:29.100 The Supreme Court justices on the progressive side are not going to say that presidents shouldn't be able to bully people into, you know, well, we can do it the ethical way, and they can do it the unethical way.
00:04:40.680 We can just say, hey, let's stop the people who are actively lying.
00:04:43.820 Right?
00:04:44.040 If we don't do that, it never becomes illegal because the left is like, but you see, the right always resists using this.
00:04:54.080 Any thoughts on that point, by the way?
00:04:56.040 Yeah, I mean, yeah, I appreciate you're arguing it that way, because I see it argued in the opposite way, that Trump is going to restrict free speech, and then this is even bad for the right at this time, because then once the left is in power, they're going to use the precedent that Trump put in place to restrict free speech.
00:05:18.600 We literally just learned that the left was already doing that, but secretly.
00:05:22.620 Yeah, that's the thing, is I would, one, I mean, I think it's very different to encourage the FCC to...
00:05:32.360 Ban people from blatantly lying about easily verifiable facts, and then the reason he was banned wasn't even because he lied.
00:05:39.320 It was because he refused to admit that he lied on air and apologized for it.
00:05:43.560 Well, and he still, I mean, everyone says that he released an apology video.
00:05:47.000 It was very heartfelt, but he didn't acknowledge the fact that he misrepresented the affiliation of the assassin, and that's also odd.
00:05:58.420 But I think that...
00:06:00.420 It's not odd. It showed an unwillingness to accept reality or to communicate truth.
00:06:05.400 Well, again, I think that it's kind of, he has to, because eventually he knows he's going off conventional extremity air.
00:06:12.060 His only audience after that is going to be extreme progressives.
00:06:15.840 He can't do anything to alienate that audience.
00:06:18.020 Like, it would be, I wouldn't if I were him.
00:06:20.000 It would be dumb.
00:06:20.680 It doesn't matter.
00:06:22.540 He can't concede that ground.
00:06:24.520 So anyway, I don't care about that.
00:06:26.400 It's logical what he's done.
00:06:27.840 But the government can choose who gets spectrum, who gets allocated spectrum in the United States, and they get to choose that it's for the public good.
00:06:40.180 And if there is active misrepresentation of reality that is provable, I don't see that as being a problem.
00:06:48.100 That's really, I don't care, especially with the internet.
00:06:51.920 Do we really care that much who gets spectrum?
00:06:54.760 I do see it as being a problem.
00:06:56.020 I do see it as being a problem.
00:06:58.080 But I think that the only way that you get it made illegal is by abusing it.
00:07:02.180 Because the left is already abusing these systems.
00:07:04.840 So, and that's what we'll be going over documentation.
00:07:07.020 But it was worse, though.
00:07:08.600 Because, like, the...
00:07:10.220 The reason why you can't just say it is what you're saying.
00:07:13.860 Simone, the reason you can't say what you're saying is because the left, when they banned people for telling the truth, and we now have science showing that it was the truth, at the time...
00:07:22.020 At the time, you now have proof that that happened.
00:07:24.460 ...COVID experts saying that it wasn't true.
00:07:26.960 Oh.
00:07:27.100 So, the problem is, is they determine what's true.
00:07:31.420 You know, they'll say, oh, well, it is provably true that questioning trans identities gets trans people killed.
00:07:39.060 Even though we know for a fact that's not true.
00:07:41.260 We know that, actually, in the UK, when they banned access to this, unaliving rates did not go up within that community.
00:07:46.840 And this is, like, we have a huge amount of data on this.
00:07:49.340 So, it's factually untrue.
00:07:51.700 And yet, they'll just say, well, it is true because I hired my gender expert, you know, and my...
00:07:58.000 And this person says that, you know, this thing about race, and we have our team of race experts, and we have our team of fat studies experts.
00:08:06.160 You can't do that.
00:08:07.780 But it's okay if you actually are doing it for what is true to the point where the left feels they need to react by making it illegal.
00:08:15.260 I think that Trump is doing this in the most ethical way a human can, which is antagonizing them over things that are actual lies.
00:08:22.620 So that you can antagonize them into making laws around this so that it can pass bipartisanly.
00:08:27.280 Because I think that every Republican wants, or most sane Republicans, don't want people to be able to do this.
00:08:32.980 So, to continue here, Google's letter...
00:08:35.540 Sorry, any other thing you wanted to say?
00:08:37.280 No, no, go on, go on.
00:08:38.840 Sorry, I disagree with you.
00:08:40.040 What's your rebuttal?
00:08:41.280 Or do you agree?
00:08:42.420 I mean, I wasn't disagreeing with you in the beginning.
00:08:48.420 Well, no, no, no, but what you said was, if something is not true, you should be able to...
00:08:53.380 Oh, no, no, no, yeah, no, you make a fair point.
00:08:55.160 As you were saying that, I was even thinking about the fact that someone on the left could actually say,
00:08:59.700 no, Jimmy Kimmel wasn't at all wrong.
00:09:02.120 This guy, Tyler Robinson, was MAGA.
00:09:05.320 His parents were MAGA.
00:09:06.500 He has a MAGA background, therefore he's MAGA.
00:09:08.840 He wouldn't have...
00:09:10.480 Had his parents not been MAGA, he wouldn't have grown up around gun culture and had the agency and ability to do what he did, therefore he's MAGA.
00:09:18.680 That's the truth.
00:09:19.780 So, I now see what you're saying, and you're absolutely right, that any side can bend the truth and shift the whole coast.
00:09:26.460 And the goal is to not do that as a side, right?
00:09:29.040 Yes, correct.
00:09:29.640 Because eventually, if you are engaging with the truth, you end up winning, because you're going to make more sound decisions.
00:09:37.100 In the same way that I can tell a leftist, if you don't have kids, because, you know, nine out of ten kids who are born to a leftist are left as adults,
00:09:46.000 and eight out of ten kids who are born to a Republican or Republican as adults, if you don't have kids, leftists are going to disappear.
00:09:51.360 And they can re- and yell at me, and I tell that to a Republican, and they're like, yeah, that makes sense, we should probably have more kids.
00:09:55.780 You know, because we're playing with real data here, okay?
00:09:58.980 Yeah, yeah.
00:09:59.540 But to continue, Google's letter explicitly acknowledged that Biden administration officials, quote,
00:10:04.520 created a political atmosphere that sought to coerce, end quote, censorship, describing the pressure as, quote-unquote, unacceptable.
00:10:12.080 So, let's get into what the Biden administration actually did to, like, get quotes of this.
00:10:15.740 Because I've heard a lot of, oh, they pressured them.
00:10:17.680 How did they pressure them?
00:10:18.580 So, in April 2021, the- there was a- basically Google- the White House came to Google and said,
00:10:28.560 hey, you need to ban anybody who is questioning the effectiveness of vaccines, and anyone who is-
00:10:36.540 and we'll get to this later- anyone who is sharing the, quote-unquote, lab leak hypothesis, which we know is probably true,
00:10:41.420 that then Google said, but that's not against our terms and standards, and it's not against the rules that you gave us.
00:10:47.880 And the Biden administration then said, basically, tough titties.
00:10:50.740 Like, you have to ban them.
00:10:52.200 I don't care.
00:10:53.100 So, context.
00:10:54.720 White House officials pushed YouTube to address, quote-unquote, vaccine hesitancy more aggressively,
00:10:59.800 including content that wasn't outright misinformation, but could, quote-unquote, contribute to doubt.
00:11:04.660 And this came amid Biden's public criticisms of platforms for not doing enough.
00:11:09.540 And I'll note here, again, like, while we're going to be talking about this,
00:11:11.980 I'm not mentioning the thing that we already know about from the Twitter files and from Facebook,
00:11:16.880 that the Biden administration forced tech companies to lie about Hunter Biden's laptop story
00:11:21.500 and say it was a fake story when it turned out it was real,
00:11:25.060 and they used the FBI to threaten companies into giving misinformation to people.
00:11:29.040 That was pretty messed up.
00:11:30.440 And there was a separate one where they didn't admit that the Trump-Russia videos were, like, faked.
00:11:38.260 The FBI didn't actually believe in those, but that's, like, a separate thing.
00:11:42.340 Quote, so this is a quote here.
00:11:45.160 Are you guys doing anything with your product team to crack down on vaccine misinformation?
00:11:49.540 If not, what could we be doing to help, end quote?
00:11:52.920 They added that they wanted to discuss, quote,
00:11:55.260 ways the White House and our COVID experts, COVID experts,
00:11:59.300 can partner in product, in your product work, end quote.
00:12:02.620 And I think that this was during that time period where, like,
00:12:04.300 even saying the word COVID on YouTube would get a video, like, demonetized and banned.
00:12:07.600 It's absolutely totalitarian and weird.
00:12:09.640 Because, like, you're in the middle of a pandemic,
00:12:11.580 and you're not allowed to say the name of the pandemic on the number one, like, by the way.
00:12:16.900 Yeah, it became our Voldemort, which was really interesting.
00:12:19.900 Yeah, it was so dystopian.
00:12:23.380 And I'll note here around the dystopian nature of this,
00:12:25.920 YouTube at the time, people were like,
00:12:27.600 well, you could just create your own alternative, like, right-wing platform.
00:12:29.820 It's like, not really.
00:12:30.680 Because YouTube is a person-to-person marketplace,
00:12:34.260 it forms something called a natural monopoly.
00:12:36.440 This is true of search engines as well.
00:12:38.800 And essentially, it means that a competitor will never have more than 20%
00:12:42.360 of the marketplace within a natural monopoly.
00:12:44.340 And then the next competitor has no more than 2%.
00:12:46.240 It's a common thing.
00:12:47.900 It's very common in business.
00:12:50.400 And if you study the way economics work,
00:12:52.520 it becomes clear why this takes effect.
00:12:54.460 But yeah, if you can get YouTube to censor people,
00:12:57.180 you've basically censored the entire informational sphere.
00:13:00.320 Anyway, follow-up quote.
00:13:02.260 Quote, this is a concern that is shared at the highest,
00:13:05.660 and I mean highest, levels of the White House.
00:13:08.220 We want to be sure that you have a handle on vaccine hesitancy generally
00:13:12.780 and are working towards making the problem better.
00:13:15.560 Vaccine hesitancy.
00:13:16.640 YouTube's internal response, staff noted flattery was, quote,
00:13:20.760 dug in on our decision marking for borderline content, end quote,
00:13:26.200 and warned the situation that could, quote,
00:13:28.300 potentially spiral out of control, end quote, if not addressed.
00:13:31.660 And so they ended up cracking down on true posts
00:13:34.600 that could be seen as drawing questions around vaccines.
00:13:37.860 Now, in 2021, he did something where he would flag specific non-lative videos
00:13:46.320 and ask them to delete them.
00:13:48.100 So basically, the White House had a team that would search YouTube
00:13:50.520 and then tell YouTube what channels to delete.
00:13:52.680 I don't like this one.
00:13:53.780 Take it down.
00:13:55.040 Burn the witch.
00:13:55.800 Yeah, burn it.
00:13:57.760 Wow.
00:13:58.760 Yeah.
00:13:59.100 Wow.
00:13:59.300 Actually, specifically, one of the channels that was taken down for that
00:14:02.740 was RFK's channel.
00:14:04.140 People should get cute little badges by their names
00:14:07.560 if they were handpicked by the administration.
00:14:11.960 By the administration, yeah.
00:14:13.460 Yeah.
00:14:14.160 Kind of like a badge of honor.
00:14:15.460 You know, I was taken down and all I got was this stupid YouTube badge.
00:14:19.520 Yeah, I'm not going to go over all of these
00:14:22.980 because there is a lot of really horrifying evidence here
00:14:27.060 of them bullying YouTube into taking stuff down.
00:14:30.900 Well, no, it matters.
00:14:32.080 Well, they had.
00:14:32.640 I mean, the Twitter files also showed that there was this, like,
00:14:34.740 direct line of communication as well, right?
00:14:37.380 Yeah, that they could just go and...
00:14:40.360 I just want to bring it back to this.
00:14:44.160 Trump threatened to, did not actually,
00:14:47.340 take someone off the air for knowingly lie.
00:14:51.620 The administration...
00:14:53.300 You're muted.
00:14:55.160 But the best thing about it is that he was very public about it.
00:14:58.300 That he...
00:14:59.000 When he posts this stuff...
00:15:00.320 Yeah.
00:15:00.580 And it's not just this.
00:15:01.440 It's also, like, his Justice Department pressuring and stuff.
00:15:04.720 He, like, literally is posting messages on Truth Social and on X.
00:15:08.900 The point here being is that the left did not freak out
00:15:14.420 when they saw that their own site had done this times a million.
00:15:18.320 Well, without their knowledge, without anyone knowing,
00:15:20.380 trying to hide it behind closed doors, without any oversight.
00:15:24.520 And I'll note here,
00:15:25.600 one of the things that would often get channels taken down,
00:15:28.460 because I want to go into this,
00:15:29.360 because this we actually have a lot of evidence on,
00:15:31.340 was not just vaccine hesitancy,
00:15:33.560 but the White House dumped this into vaccine hesitancy,
00:15:35.760 was hesitancy around masks.
00:15:38.720 Wearing masks.
00:15:40.820 Dun, dun, dun.
00:15:41.800 Uh...
00:15:42.240 Yeah, this was...
00:15:43.040 Well, here is the problem with the whole masky thing.
00:15:47.640 We now have a lot of evidence on masks.
00:15:51.960 And what we learned is that they did nothing
00:15:56.460 and may have caused brain damage.
00:15:58.060 So, let's get into masks,
00:16:00.040 because a lot of people will point to...
00:16:01.700 They'll go, oh, look at the studies
00:16:02.860 where, over the short term,
00:16:04.760 they are reducing the spread of certain types of diseases.
00:16:07.480 And it is true.
00:16:09.200 Over the long term, it completely comes out in the wash.
00:16:11.800 Because of the faster spread of immune response within a region.
00:16:15.660 So, because...
00:16:16.440 Like, you should have known this.
00:16:17.880 If you're just slowing down the spread of a disease within a region,
00:16:21.120 like, eventually it's still going to spread throughout the region
00:16:22.980 if it's a hybridly virulent disease, right?
00:16:25.260 So, Sweden avoided strict national mask mandates,
00:16:28.420 relying on voluntary use and no lockdowns,
00:16:31.060 while neighbors enforced them
00:16:32.580 alongside schools' closures and border controls.
00:16:35.040 Okay.
00:16:35.140 Sweden saw a faster early spread,
00:16:36.580 2 to 3x higher per capita in the spring of 2020.
00:16:39.900 But long-term excess mortality was comparable
00:16:42.920 and not statistically worse.
00:16:45.220 So, if you compare the deaths in Sweden
00:16:47.680 per 100k between 2020 and 2022,
00:16:52.300 you had around 158 in Sweden.
00:16:55.840 In some cases, you had left.
00:16:58.100 Like, in Norway, which had strict mandates and lockdowns,
00:17:00.840 129, but not a statistically meaningful number.
00:17:03.560 And then if you look at Finland,
00:17:05.980 you get significantly higher.
00:17:07.360 And they had strict mandates and borders.
00:17:09.620 So, they had, compared to Sweden,
00:17:11.100 which had nothing, 158,
00:17:12.440 they had 228,
00:17:13.820 despite strict mandates and border control.
00:17:16.540 Okay. Yeah.
00:17:17.120 And in the U.S. states,
00:17:18.500 you actually see something very similar.
00:17:20.140 So, if we compare the states,
00:17:22.620 SDIA in Florida,
00:17:24.260 what was that?
00:17:24.720 South Dakota,
00:17:25.620 I want to say Iowa in Florida,
00:17:27.120 which had very loose mask measures,
00:17:30.180 to states that had very strict ones,
00:17:31.980 California, Newark, and Hawaii,
00:17:34.100 you actually see almost exactly the same death rate,
00:17:37.800 which was 350 to 400.
00:17:41.260 And then...
00:17:41.880 But in the latter states,
00:17:43.200 people didn't have to see each other's ugly faces.
00:17:45.140 Higher death rates in California,
00:17:47.340 New York, and Hawaii,
00:17:48.060 300 to 450.
00:17:50.120 So, about...
00:17:51.000 Yeah.
00:17:51.440 So, now note here,
00:17:53.000 these are more urban states,
00:17:55.300 which obviously accounts for something,
00:17:57.120 but it didn't work the way they said it would.
00:18:00.080 Thoughts before I go further here?
00:18:03.520 Yeah.
00:18:04.140 I mean, I'm glad you're bringing this up,
00:18:05.680 just because I think we forget it so easily.
00:18:08.020 It was such a weird year.
00:18:09.460 We just kind of...
00:18:10.180 Yeah.
00:18:10.760 It's like,
00:18:11.520 the left thought they had an opportunity
00:18:14.340 to go dictatorial,
00:18:16.120 and they just effing ran with it.
00:18:18.440 Well,
00:18:19.080 I think Trump was president
00:18:20.920 for the beginning of this whole thing.
00:18:22.360 Yeah, but he didn't implement these...
00:18:23.840 Do you remember when Trump wanted to implement
00:18:25.520 flight restrictions to China,
00:18:26.940 and he was called, like, a racist?
00:18:28.700 He called it the China virus,
00:18:30.360 because it was.
00:18:31.620 The Kung Flu, Simone.
00:18:33.360 The Kung Flu?
00:18:34.200 Did he actually say Kung Flu?
00:18:35.800 Oh, yeah, he called it the Kung Flu.
00:18:36.340 Why didn't that catch on?
00:18:37.760 Oh.
00:18:38.040 It did catch on with conservatives,
00:18:39.540 but you'd be banned from saying it
00:18:40.960 from leftist circles.
00:18:41.940 Oh, boy.
00:18:43.920 The Kung Flu.
00:18:45.360 That is such a great term.
00:18:48.280 Anyway, so...
00:18:49.620 And I think Nancy Pelosi,
00:18:51.220 like, mainstream Democrats,
00:18:52.600 was one of the ones who called him racist
00:18:53.900 for attempting to prevent the spread early on.
00:18:55.980 But he didn't implement
00:18:56.980 the really dictatorial measures
00:18:58.360 that the leftists did.
00:18:59.420 Like, you know,
00:18:59.980 as we talked about in Tim Waltz State,
00:19:01.720 they had a system
00:19:02.700 where you were locked down in your home,
00:19:04.900 and neighbors could pitch on you
00:19:06.560 to go to jail.
00:19:08.640 Like, that is...
00:19:09.780 That is right up, like, crazy.
00:19:13.440 That is crazy.
00:19:14.580 And I think that this is when
00:19:15.760 a lot of people switched to the right.
00:19:17.660 Like, they were, like, right, curious,
00:19:19.200 and then, like, the COVID stuff happened,
00:19:20.800 and they were like,
00:19:21.820 oh, you guys are nanners.
00:19:24.160 Like, now I know what you do
00:19:26.460 when we give you an ounce of power.
00:19:28.400 This is not good.
00:19:29.640 Yeah.
00:19:29.860 But anyway, I also wanted to talk about
00:19:31.160 the brain damage stuff,
00:19:32.740 because this is something
00:19:33.660 that's, like, on the edge,
00:19:35.180 but I think that there's enough evidence
00:19:36.620 to be, like, probably,
00:19:38.060 given how much the left
00:19:39.280 doesn't want this to be the case.
00:19:41.120 So a 2023 scoping review
00:19:43.280 speculated chronic low-level CO2,
00:19:45.620 even within the 0.3 range,
00:19:47.260 which is what you get with masks,
00:19:49.340 can risk,
00:19:50.320 could cause stillbursts,
00:19:51.680 cognitive delays,
00:19:52.840 based on animal and submarine data.
00:19:55.740 But it's circumstantial,
00:19:57.160 and no human trials were ever created.
00:19:59.360 What I read about this, though,
00:20:00.380 is that it was, like,
00:20:02.200 very uniquely contraindicated
00:20:04.400 for pregnant women.
00:20:06.180 Just super not safe.
00:20:07.740 And I was pregnant during this process.
00:20:10.160 Very not safe to do.
00:20:11.340 And any doctor would tell you that.
00:20:13.040 You cannot wear,
00:20:13.700 because you're recirculating CO2,
00:20:16.620 which is not good.
00:20:18.900 It's not the way you're supposed to be.
00:20:20.040 Like, your biology evolved
00:20:21.800 the way it did for a reason, right?
00:20:23.860 Yeah.
00:20:24.260 We don't have big flaps of skin
00:20:25.740 in front of our faces for a reason,
00:20:27.640 even though sometimes we end up
00:20:28.960 swallowing a bug.
00:20:30.800 Yes, you could.
00:20:32.200 There'd be many benefits
00:20:33.100 to having a giant flap
00:20:34.480 in front of your face.
00:20:35.980 Biology didn't make us that way.
00:20:38.000 It did not.
00:20:38.920 It did not.
00:20:39.640 Yeah.
00:20:40.640 It's so weird.
00:20:41.620 It's so weird.
00:20:42.160 So, a 2021 BMC study,
00:20:45.060 this was a small one
00:20:46.040 on only 11 adults,
00:20:47.540 noted CO2 exceeding
00:20:48.720 eight-hour NOSI limits
00:20:50.380 under K995s,
00:20:52.560 but they said
00:20:53.660 below short-term ones,
00:20:55.520 no health effects observed,
00:20:56.920 but again, 11 participants.
00:20:58.480 There was a 2021 study
00:21:00.360 by JAMA Pediatrics
00:21:01.440 on 45 children,
00:21:03.120 which found CO2 rises
00:21:04.860 to 13,000 to 14,000 ppm
00:21:07.380 under surgical FFP2 masks,
00:21:09.780 which would cause
00:21:11.180 long-term brain damage,
00:21:12.480 but it was quote-unquote
00:21:13.740 retracted for dangerous claims.
00:21:18.620 No, no.
00:21:19.560 If you're in the middle
00:21:20.680 of a COVID panic
00:21:21.540 and you're like,
00:21:22.480 this guy's pointing out
00:21:23.380 that this could cause problems
00:21:24.400 and you still don't know,
00:21:25.400 like it hasn't been proven yet
00:21:26.540 that the anti-maskers
00:21:27.740 were right all along,
00:21:29.820 you are going to push
00:21:31.560 to get something like that retracted.
00:21:32.900 We also have,
00:21:33.880 we know people personally
00:21:35.360 who did peer-reviewed research
00:21:37.140 on mask efficacy
00:21:38.360 during the pandemic
00:21:39.980 and they tried
00:21:42.600 a broad variety
00:21:43.780 of different homespun materials
00:21:45.980 because remember also
00:21:46.840 at the time
00:21:47.340 we were supposed to save
00:21:49.140 medical grade N95 masks
00:21:52.120 for medical professionals
00:21:53.740 because they were
00:21:54.840 in short supply.
00:21:55.660 So people are encouraged
00:21:56.540 to make their own masks.
00:21:57.960 They were largely made
00:21:59.180 out of cotton and whatnot
00:22:00.120 and what our friend was doing
00:22:02.380 is looking at a broad array
00:22:03.760 of different materials
00:22:04.820 to figure out
00:22:06.240 what actually would filter out
00:22:08.420 virus particles
00:22:09.360 including at one point
00:22:11.000 this person sent me
00:22:13.180 a hilarious picture
00:22:14.160 of pantyhose
00:22:16.040 over their head.
00:22:17.980 They're like,
00:22:18.360 this is humiliating
00:22:19.420 but you gotta do
00:22:20.280 what you gotta do.
00:22:21.640 They ultimately found
00:22:22.780 that the best material,
00:22:23.940 just FYI,
00:22:24.880 if you're gonna make
00:22:25.440 your own sealing mask
00:22:27.000 and it has to be sealing
00:22:28.120 and fit into your face,
00:22:29.440 was vacuum filter material.
00:22:31.800 So if you bought
00:22:33.120 a bunch of dry vacuum filters
00:22:35.560 and then build masks
00:22:37.300 out of that,
00:22:37.940 it actually does do
00:22:39.000 a pretty good job
00:22:40.080 at replicating
00:22:41.240 the same effects
00:22:42.100 of an N95 mask.
00:22:43.580 No one was doing that.
00:22:44.900 They were buying
00:22:45.620 freaking cotton masks
00:22:47.500 on Etsy.
00:22:48.300 That's what we all had, right?
00:22:50.040 So not only were you
00:22:51.420 recirculating carbon dioxide,
00:22:53.660 you were not effectively
00:22:54.940 protecting yourself
00:22:56.580 or other people,
00:22:58.100 quite frankly.
00:22:58.880 Well, you did slow
00:22:59.800 the spread a bit
00:23:00.500 with a mask.
00:23:01.000 It just didn't affect
00:23:01.760 Yeah, sure.
00:23:02.300 Because if you're coughing
00:23:02.900 or sneezing,
00:23:03.480 it's not going to go as far.
00:23:04.980 I mean, it does help.
00:23:06.400 And that is why in Asia,
00:23:07.720 it's a courtesy to
00:23:08.980 if you're feeling
00:23:09.680 under the weather,
00:23:10.440 go out and wear a mask.
00:23:11.900 I appreciate that.
00:23:13.400 And I think there was
00:23:14.320 this really big
00:23:14.980 underrated element of it.
00:23:16.320 This circulated a lot
00:23:17.400 in leftist circles
00:23:18.120 during the pandemic
00:23:18.840 of like people actually
00:23:21.260 enjoying not showing
00:23:23.120 their faces
00:23:23.620 because they were ugly
00:23:25.940 and everyone looked
00:23:27.420 slightly more attractive
00:23:28.280 when wearing a mask
00:23:29.260 because you just couldn't,
00:23:30.220 you would just imagine
00:23:31.600 kind of like how AI
00:23:33.480 just makes more attractive
00:23:35.860 faces.
00:23:36.580 And this was a big problem
00:23:37.480 for me because my beauty
00:23:38.600 is like the way
00:23:39.800 I get by in society.
00:23:41.560 Yeah.
00:23:41.860 Well, and what we were
00:23:44.260 during the pandemic
00:23:45.520 is a mask.
00:23:46.580 I should try to find
00:23:47.580 some photos
00:23:48.200 so I can send it to you
00:23:49.260 for the podcast.
00:23:50.160 This was when we were
00:23:51.020 doing flights and stuff.
00:23:52.000 Well, this is because
00:23:52.340 you were pregnant and stuff.
00:23:53.160 It was because I was pregnant too
00:23:54.180 and going through IVF
00:23:55.340 was a full face sealing
00:23:57.560 filtration mask.
00:24:00.300 But we only use this
00:24:01.880 for like airplanes and stuff.
00:24:03.320 We generally...
00:24:04.200 I weren't going to
00:24:05.040 doctor's offices and stuff
00:24:06.360 because I really didn't want to...
00:24:08.440 You were pregnant, yeah.
00:24:09.340 Yeah.
00:24:10.040 And I point out
00:24:11.000 during COVID,
00:24:12.080 especially in the early days,
00:24:12.980 we didn't know
00:24:13.740 what the long-term effects
00:24:15.100 this was going to have
00:24:15.920 on pregnancies
00:24:16.540 and stuff like that.
00:24:17.740 So a lot of people are like,
00:24:18.680 oh, why be worried about it?
00:24:19.940 Well, you know,
00:24:20.420 if you're pregnant,
00:24:20.920 you need to be worried
00:24:21.740 about stuff like this.
00:24:22.660 You can't treat it lightly
00:24:23.500 if there's a new disease.
00:24:24.780 Well, and the mask
00:24:25.460 that we actually used
00:24:26.840 didn't really restrict air access.
00:24:28.680 It had working filters
00:24:30.060 attached to it.
00:24:31.220 It wasn't like wearing cloth
00:24:32.760 over your face
00:24:33.400 that you couldn't breathe through.
00:24:34.580 I remember wearing cloth masks
00:24:36.180 and feeling super claustrophobic
00:24:37.680 and like I couldn't breathe
00:24:38.540 and I wasn't getting in the air.
00:24:40.220 And when we wore the other mask,
00:24:42.880 it was not exactly comfortable.
00:24:45.120 So what would get
00:24:47.320 your channel restricted?
00:24:49.080 Three core categories.
00:24:49.660 Oh, hold on.
00:24:50.120 I want to...
00:24:50.600 Sorry, just to like close the loop.
00:24:51.900 So our friend did this research
00:24:53.100 and it basically was like,
00:24:54.400 yeah, none of the masks
00:24:55.200 that people are wearing
00:24:55.980 are very effective,
00:24:56.920 at least in terms of protecting them.
00:24:58.780 But they had to write an abstract
00:25:00.240 that basically said the opposite
00:25:02.900 and was like,
00:25:03.520 no, masks are good.
00:25:04.580 Masks are good
00:25:05.340 because they were funded by...
00:25:07.380 Not the US,
00:25:08.600 but yeah, by the NIH.
00:25:10.680 And they basically weren't allowed
00:25:12.240 to say stuff
00:25:13.000 that would reduce mask use potentially.
00:25:17.880 So they had to bury the lead
00:25:19.200 like way deep in their paper.
00:25:20.420 Where they were like,
00:25:20.980 by the way,
00:25:21.460 none of these mainstream masks work,
00:25:24.080 but their abstract
00:25:24.940 basically said the opposite.
00:25:26.740 And that's just,
00:25:27.220 I think,
00:25:27.360 another example of this.
00:25:29.980 You see this all the time
00:25:31.260 with NIH funded stuff
00:25:32.700 and stuff like that.
00:25:33.260 You know,
00:25:33.440 again,
00:25:33.960 UK dictatorial countries
00:25:35.520 these days,
00:25:36.400 but what was being banned?
00:25:38.020 Okay.
00:25:38.300 So yeah,
00:25:39.500 COVID-19 related content
00:25:40.720 in a few categories.
00:25:41.540 You could be banned
00:25:42.400 for arguing that
00:25:43.280 there was a lab leak,
00:25:44.660 which again,
00:25:46.200 I think Stephen,
00:25:47.020 John Stewart
00:25:48.220 on the Stephen Colbert show
00:25:49.260 pointed this out the best.
00:25:50.580 Oh.
00:25:51.440 Novel respiratory coronavirus
00:25:53.720 overtaking Wuhan, China.
00:25:56.660 What do we do?
00:25:57.680 Oh,
00:25:57.960 you know who we could ask?
00:25:59.320 The Wuhan novel
00:26:01.360 respiratory coronavirus lab.
00:26:03.600 The disease
00:26:04.520 is the same name
00:26:06.100 as the lab.
00:26:07.360 And then they asked
00:26:08.260 those scientists,
00:26:08.780 wait a minute,
00:26:09.420 you work at the Wuhan
00:26:10.540 respiratory coronavirus lab.
00:26:12.920 How did this happen?
00:26:13.800 And they're like,
00:26:14.600 a pangolin kissed a turtle.
00:26:16.640 And you're like,
00:26:18.920 no,
00:26:19.600 the name of your lab,
00:26:21.920 if you look at the name,
00:26:24.060 show me your business card.
00:26:25.720 Oh,
00:26:26.220 I work at the coronavirus lab
00:26:30.040 in Wuhan.
00:26:31.860 Oh,
00:26:32.320 because there's a coronavirus
00:26:33.180 loose in Wuhan.
00:26:34.500 How did that happen?
00:26:35.880 Maybe a bat
00:26:37.780 flew into the cloaca
00:26:40.380 of a turkey
00:26:41.760 and now we all have coronavirus.
00:26:44.240 Okay,
00:26:44.760 okay,
00:26:45.580 what about this?
00:26:46.920 What about this?
00:26:48.060 Listen to this.
00:26:48.660 Wait a second.
00:26:50.020 All right.
00:26:50.500 John.
00:26:50.800 Oh,
00:26:50.960 my God.
00:26:52.020 Oh,
00:26:52.420 my God.
00:26:53.480 There's been an outbreak
00:26:54.740 of chocolatey goodness
00:26:56.380 near Hershey,
00:26:58.020 Pennsylvania.
00:26:58.880 What do you think happened?
00:27:00.260 Like,
00:27:00.600 oh,
00:27:00.840 I don't know.
00:27:01.740 Maybe a steam shovel
00:27:03.500 made it with a cocoa bean.
00:27:05.040 Or,
00:27:05.920 it's the
00:27:06.460 chocolate factory.
00:27:09.340 Maybe that's it.
00:27:10.480 That could,
00:27:10.980 that could very well be.
00:27:12.540 And Anthony Fauci
00:27:13.320 and Francis Collins
00:27:14.540 and NIH have said,
00:27:15.320 like,
00:27:15.400 it should definitely
00:27:15.840 be investigated.
00:27:16.740 Don't stop with the logic
00:27:18.800 and people and things.
00:27:20.320 The name of the disease.
00:27:21.960 Wait a second.
00:27:22.760 Wait a second.
00:27:23.580 Wait a second.
00:27:25.300 But I,
00:27:25.740 it could be possible.
00:27:26.860 You could be right.
00:27:27.760 It could be possible
00:27:28.740 that they have the lab
00:27:31.040 in Wuhan
00:27:31.960 to study the novel
00:27:33.460 coronavirus diseases
00:27:34.800 because of the bat population there.
00:27:37.860 I understand.
00:27:38.340 It's the only place
00:27:39.100 to find bats.
00:27:40.220 Austin, Texas
00:27:40.880 has thousands of them
00:27:42.180 that fly out of a cave
00:27:43.680 every night.
00:27:45.120 Is there a coronavirus
00:27:46.560 in Austin coronavirus?
00:27:48.360 No,
00:27:48.580 it doesn't seem to be
00:27:49.200 in Austin coronavirus.
00:27:51.500 And,
00:27:51.940 and Colbert is like
00:27:53.160 freaking out
00:27:54.040 because he's gone so woke
00:27:55.560 he can't even like
00:27:56.320 deal with the questioning.
00:27:57.680 Oh boy.
00:27:58.760 And why?
00:27:59.500 Why even were they
00:28:00.260 restricting that?
00:28:00.960 Oh yeah,
00:28:01.360 because then we would have
00:28:02.040 found out that Fauci
00:28:02.800 had played a role
00:28:03.500 in funding that
00:28:04.480 and,
00:28:05.220 and Mr. Fauci
00:28:06.280 would have gotten
00:28:07.140 in big trouble.
00:28:08.340 So,
00:28:09.020 they're also
00:28:09.680 like actively
00:28:10.960 were trying to destroy
00:28:12.140 people's careers
00:28:12.760 to cover their tracks
00:28:13.740 on the role
00:28:14.200 that they played
00:28:15.100 in starting all of this.
00:28:16.500 Yeah.
00:28:16.860 And here I'll put,
00:28:18.240 through,
00:28:18.440 through gain of function research
00:28:19.400 and here I'll put
00:28:19.840 my little skit
00:28:20.340 that I created
00:28:20.700 on gain of function research.
00:28:22.000 It is time
00:28:22.620 for the Mad Scientist Society's
00:28:24.760 annual most evil invention
00:28:27.340 in the world contest.
00:28:29.420 Here.
00:28:30.540 Ha ha ha.
00:28:31.920 The most evil invention
00:28:33.360 in the world
00:28:33.980 is my shrink ray.
00:28:35.880 Ooh.
00:28:37.460 My entry for world's
00:28:39.160 most evil invention
00:28:40.120 is the freeze ray.
00:28:42.020 Oh.
00:28:43.220 Okay,
00:28:43.620 who is next?
00:28:46.040 Yep.
00:28:46.520 Hey.
00:28:49.520 Hi, guys.
00:28:50.440 Uh,
00:28:50.860 I'm,
00:28:52.020 um,
00:28:52.640 my name is Roy
00:28:53.400 and,
00:28:53.960 uh,
00:28:54.220 I,
00:28:55.480 um,
00:28:55.920 and for the most evil
00:28:57.280 invention in the world contest,
00:28:59.020 I invented a,
00:28:59.920 uh,
00:29:00.420 deadly virus
00:29:01.640 that you probably know
00:29:02.720 as COVID.
00:29:05.620 I beg your pardon what?
00:29:07.920 Um,
00:29:09.080 oh, I'm sorry.
00:29:09.680 I'll speak up.
00:29:11.020 Uh,
00:29:11.460 so I work at the
00:29:12.400 Wuhan COVID gain of function labs.
00:29:15.040 It's this lab
00:29:16.240 where we take viruses.
00:29:17.840 In this case,
00:29:18.360 specifically,
00:29:18.780 we were working
00:29:19.320 with the COVID virus,
00:29:20.260 um,
00:29:21.000 and attempt to make it
00:29:22.600 both more virulent
00:29:24.020 and more deadly.
00:29:25.720 Um,
00:29:26.320 so, uh,
00:29:28.300 do I win the contest?
00:29:29.360 I think that I win.
00:29:31.460 Seems like I win.
00:29:32.420 Oh, my God.
00:29:33.740 My most evil idea
00:29:34.940 was a blizzard in July.
00:29:37.800 Right.
00:29:38.540 Well,
00:29:38.940 I went in a slightly
00:29:40.300 different direction
00:29:41.040 with the assignment.
00:29:42.640 You been-
00:29:43.260 a deadly pandemic.
00:29:45.640 Yes,
00:29:46.140 yes,
00:29:46.480 yes,
00:29:46.780 that's,
00:29:47.040 that's exactly right.
00:29:48.420 This,
00:29:48.740 this guy gets it.
00:29:49.500 You get it.
00:29:50.020 Oh, my God.
00:29:50.740 No, I don't.
00:29:51.440 How,
00:29:51.980 how do you even build
00:29:54.560 a deadlier,
00:29:55.440 more virulent virus?
00:29:57.760 Well,
00:29:58.300 that's a,
00:29:58.820 um,
00:29:59.040 that's a great question.
00:29:59.900 What you do is
00:30:00.520 you start by building
00:30:01.440 a regular COVID virus
00:30:02.900 and then you make
00:30:03.480 small modifications to it
00:30:05.180 that might make it
00:30:07.020 more virulent
00:30:07.620 or more deadly.
00:30:08.400 And then you test it out
00:30:09.620 on thousands
00:30:10.740 upon thousands
00:30:11.680 of animals
00:30:12.520 until you find one
00:30:13.620 that's just really good
00:30:14.960 at killing things.
00:30:16.140 Note that it continues
00:30:17.100 to,
00:30:17.320 uh,
00:30:17.560 the cycle.
00:30:18.560 That's the most hideous thing
00:30:20.080 I've ever heard
00:30:20.560 in my entire life.
00:30:21.380 Oh,
00:30:21.640 well,
00:30:21.900 thank you very much.
00:30:22.680 You see,
00:30:22.980 the shrink guy
00:30:23.640 is with me all the way.
00:30:25.180 Stop saying that!
00:30:27.300 Webster's Dictionary
00:30:28.300 defines evil
00:30:29.380 as profoundly immoral.
00:30:31.300 We know what evil means.
00:30:33.740 Well,
00:30:33.960 it doesn't seem like you do
00:30:34.840 because you built
00:30:35.400 a,
00:30:35.640 a freeze ray.
00:30:37.740 I think someone
00:30:38.620 should call the police.
00:30:39.720 Now,
00:30:39.980 the,
00:30:40.160 the next thing
00:30:40.760 that they were
00:30:41.220 banning people for
00:30:42.260 was 2020
00:30:43.160 election-related claims.
00:30:44.860 Content challenging
00:30:45.600 election fraud,
00:30:46.820 irregularity,
00:30:48.200 challenging official narratives.
00:30:50.040 And this,
00:30:51.040 this was really horrifying,
00:30:52.860 I think,
00:30:53.080 in retrospect
00:30:53.460 because it was a conversation
00:30:54.320 that we weren't allowed
00:30:54.860 to have publicly.
00:30:55.680 And I think because
00:30:56.620 we never had that conversation,
00:30:58.360 people,
00:30:58.940 like,
00:30:59.120 even broadly educated people
00:31:00.100 I'm aware of,
00:31:00.980 do not know how fishy
00:31:02.240 that election was
00:31:03.140 when you're,
00:31:03.880 when you,
00:31:04.120 when you actually
00:31:04.600 go over the data.
00:31:05.380 Uh,
00:31:05.660 and I don't know
00:31:06.160 if I'm gonna have
00:31:06.460 to cut this out
00:31:06.980 because it used to be,
00:31:08.620 this was the thing,
00:31:09.920 like,
00:31:10.080 I could talk about
00:31:11.220 murdering someone
00:31:11.920 on the street
00:31:12.320 and YouTube
00:31:12.680 wouldn't restrict me.
00:31:13.620 But if I mentioned,
00:31:14.960 I'm showing you numbers here.
00:31:17.860 You,
00:31:18.380 American,
00:31:19.320 who lived through
00:31:20.220 two election cycles,
00:31:21.460 you see this line
00:31:22.540 on this graph,
00:31:23.520 right?
00:31:24.080 This is the line
00:31:25.440 of Democratic voters
00:31:27.360 for every election cycle
00:31:28.640 recently.
00:31:29.240 It is about the same
00:31:30.680 with small differences,
00:31:32.320 all right?
00:31:34.040 Except in one year
00:31:35.380 in the 2020 election.
00:31:36.720 If the data is correct,
00:31:40.340 it means that Joe Biden
00:31:42.600 was a dramatically more,
00:31:45.280 and I'm not talking about
00:31:45.980 in relation to Trump,
00:31:46.820 I'm talking about
00:31:47.260 in an absolute
00:31:47.940 getting voters out level,
00:31:50.560 dramatically more popular
00:31:52.160 than Obama.
00:31:53.740 Yeah.
00:31:54.260 Which is,
00:31:56.120 Joe Biden.
00:31:57.940 Biden.
00:31:59.260 Biden.
00:32:00.760 Yeah.
00:32:01.000 It's dramatically more popular
00:32:02.260 than Obama.
00:32:04.440 Okay?
00:32:05.260 Yes.
00:32:05.620 If you lived through
00:32:07.360 both of those election cycles,
00:32:09.340 you'd just be like,
00:32:10.720 that is completely implausible.
00:32:12.440 Yeah.
00:32:12.800 I mean,
00:32:13.020 for those of you
00:32:13.560 outside America,
00:32:15.080 when Obama was running,
00:32:16.660 he felt like the new Kennedy.
00:32:18.280 He felt so new and exciting.
00:32:20.620 I was in Washington, D.C.,
00:32:22.060 just a few blocks
00:32:23.040 from the White House
00:32:23.980 when he was elected,
00:32:25.640 when the results were called in.
00:32:27.240 People flooded into the streets.
00:32:29.000 I was in Scotland
00:32:29.840 for all night
00:32:30.780 until like 5 a.m.,
00:32:32.020 like election watching party.
00:32:33.580 It was wild.
00:32:34.380 This did not happen with Biden.
00:32:36.120 This was not a thing with Biden.
00:32:37.940 And people joked about this
00:32:39.080 in like 30 Rock.
00:32:40.380 There's a scene where,
00:32:41.600 you know,
00:32:41.740 for the second Obama election,
00:32:43.340 you know,
00:32:43.600 just not that many people
00:32:44.520 show up to the party
00:32:45.280 and goes,
00:32:45.580 I thought it was going to be magical
00:32:46.520 like the first one again.
00:32:47.840 Dallas Park did a thing on it as well.
00:32:49.980 You know,
00:32:50.300 like,
00:32:50.920 you know,
00:32:51.080 people destroying cars
00:32:52.200 and everything
00:32:52.740 and all excited
00:32:53.420 over Obama winning.
00:32:54.940 You know,
00:32:55.420 it is,
00:32:55.980 it is one of those things
00:32:56.840 where
00:32:57.240 if you lived through it,
00:32:59.660 you don't need anything.
00:33:00.900 But people are like,
00:33:01.440 well,
00:33:01.780 but mail-in voting
00:33:02.740 and it's like,
00:33:04.100 well,
00:33:04.380 if mail-in voting
00:33:05.460 caused something like
00:33:06.520 18% more people to vote
00:33:08.440 than previous,
00:33:09.600 than in other election cycles,
00:33:11.140 because there was mail-in voting
00:33:12.060 in the next election cycle
00:33:13.100 and you were back down
00:33:14.340 to the normal number of votes.
00:33:15.780 How did that happen
00:33:16.660 if it was mail-in voting,
00:33:17.760 right?
00:33:18.540 And people are like,
00:33:19.180 well,
00:33:19.280 mail-in voting led to,
00:33:20.660 and COVID led to,
00:33:21.740 you know,
00:33:22.260 dramatically more people voting.
00:33:23.720 Then that's still suspicious,
00:33:25.960 right?
00:33:26.740 Like,
00:33:27.060 why were so many more people voting
00:33:28.860 than apparently
00:33:29.960 had ever voted before
00:33:31.320 or were going to vote again
00:33:32.760 in American history?
00:33:34.120 A little odd.
00:33:35.480 Yeah,
00:33:35.660 a little odd.
00:33:36.600 A little odd.
00:33:37.620 And that's something
00:33:38.620 that like a reasonable person
00:33:40.000 should be asking.
00:33:41.240 I think that there are
00:33:42.260 potential explanations.
00:33:43.420 Like,
00:33:43.600 it could be that COVID
00:33:44.820 really did cause
00:33:45.820 that big of an effect.
00:33:47.200 Like,
00:33:47.700 enough people
00:33:48.380 weren't working at the time
00:33:49.580 or something
00:33:50.080 that it allowed more people
00:33:51.180 to go to the polls.
00:33:52.620 Could be.
00:33:53.640 Maybe.
00:33:54.880 But we didn't see it
00:33:55.540 in the midterms.
00:33:56.320 It also had people
00:33:56.980 not working,
00:33:57.720 so probably not.
00:34:00.020 But it's something
00:34:01.380 that like,
00:34:02.440 you should have been able
00:34:03.180 to talk about,
00:34:03.920 right?
00:34:04.580 Yeah.
00:34:04.800 And it felt very much
00:34:05.620 like one of those countries
00:34:06.400 where an election is rigged
00:34:07.700 and then anybody
00:34:08.280 who mentions
00:34:08.720 that the election is rigged
00:34:09.800 gets immediately pulled
00:34:10.720 from the air
00:34:11.060 and assassinated.
00:34:12.080 That's sort of
00:34:12.840 what it felt like.
00:34:13.660 Also,
00:34:14.120 they were banning things
00:34:14.840 for broader political speech.
00:34:16.840 Accounts promoting
00:34:17.380 conservative or dissenting
00:34:18.300 viewpoints on government
00:34:19.280 policies
00:34:20.180 with the Biden administration
00:34:21.580 reportedly pressured Google
00:34:22.920 to remove lawful content
00:34:24.560 to align with their goal.
00:34:26.300 goals
00:34:26.520 and winning elections.
00:34:28.560 Okay.
00:34:30.680 Wow.
00:34:32.240 So to go over
00:34:33.420 some of these,
00:34:34.400 Dan Bungalow,
00:34:35.760 he was banned
00:34:37.380 in January 2022.
00:34:38.980 His channel
00:34:39.380 had 2.5 million subscribers
00:34:41.400 and he was banned
00:34:42.940 for questioning
00:34:43.800 mass efficacy.
00:34:45.360 Oh boy.
00:34:47.200 Not,
00:34:47.740 not extreme
00:34:49.260 right-wing content
00:34:50.020 or anything like that.
00:34:50.860 just questioning
00:34:52.020 mass efficacy.
00:34:53.280 A 2.5 million subscriber.
00:34:55.500 That's not like
00:34:56.000 one guy's full-time job
00:34:57.520 and life work.
00:34:58.340 That's a lot of people's
00:34:59.700 full-time job.
00:34:59.960 Well,
00:34:59.980 and how many,
00:35:00.540 I mean,
00:35:00.800 how many viewers
00:35:01.340 did the Jimmy Kimmel show
00:35:03.140 have that were regular?
00:35:04.640 It had less,
00:35:05.140 it had an average viewer
00:35:06.560 of a 1.6.
00:35:07.760 It's like,
00:35:08.100 that's also
00:35:08.660 an important point.
00:35:10.460 So,
00:35:10.800 so he touches
00:35:11.820 fewer people
00:35:12.760 than this guy touched.
00:35:13.980 Yeah.
00:35:14.160 If you're talking about like,
00:35:15.820 who is doing
00:35:16.660 more substantive bans
00:35:17.940 in terms of affecting
00:35:18.760 the public,
00:35:19.220 but it wasn't like
00:35:19.940 that was done
00:35:21.000 in,
00:35:21.560 in isolation.
00:35:22.780 Steve Bannon
00:35:23.260 was also suspended
00:35:24.580 like mainstream
00:35:25.600 political figures.
00:35:27.400 Oh,
00:35:27.540 Malcolm,
00:35:28.120 President Trump,
00:35:29.140 the,
00:35:29.260 the,
00:35:29.480 the sitting president
00:35:30.600 was banned
00:35:31.800 on X on,
00:35:33.620 well,
00:35:33.780 no,
00:35:33.920 that was not X yet
00:35:34.680 on Twitter
00:35:35.260 that,
00:35:36.520 I mean,
00:35:36.840 enough said,
00:35:39.120 you know.
00:35:40.360 Kennedy's channel
00:35:41.240 was banned.
00:35:41.960 Yeah,
00:35:42.100 but Malcolm,
00:35:42.680 the president
00:35:43.240 of the state,
00:35:44.400 like this is what
00:35:45.460 Trump was banned
00:35:46.280 by a platform,
00:35:48.080 not by an alternate
00:35:49.000 administration
00:35:49.760 working in secret.
00:35:50.960 That's very different
00:35:51.780 Samo.
00:35:52.860 Yeah.
00:35:53.540 I mean,
00:35:53.900 you can,
00:35:54.280 you can say the gall
00:35:55.320 of banning a sitting
00:35:56.500 president from your
00:35:57.320 platform to try to
00:35:58.160 lower his rate.
00:35:58.980 I mean,
00:35:59.180 to your point,
00:35:59.600 if there's a natural
00:36:00.320 monopoly and that's
00:36:01.600 where the people are
00:36:02.420 and the people
00:36:03.320 should probably know
00:36:04.300 what the leader
00:36:05.020 of a major country
00:36:07.260 is up to.
00:36:09.780 Yeah.
00:36:10.880 If you,
00:36:11.680 if you look at
00:36:12.100 Sebastian Grokrock,
00:36:13.440 a national security
00:36:14.660 commentator,
00:36:15.520 he was banned
00:36:16.240 in 2021
00:36:16.940 for talking about
00:36:19.060 mail-in ballot issues
00:36:20.160 and the,
00:36:21.380 the,
00:36:21.920 the mail-in voting
00:36:23.020 concerns that he
00:36:24.020 brought up
00:36:24.760 were,
00:36:25.400 were specifically
00:36:26.220 on post-election
00:36:27.940 audits received
00:36:28.760 talking about
00:36:29.900 procedural clause
00:36:30.760 signature mismatches.
00:36:32.180 So he was
00:36:32.820 that thing
00:36:33.440 fraud.
00:36:34.620 He was,
00:36:34.820 he was talking
00:36:35.160 about like a
00:36:35.560 factual reports
00:36:37.040 on errors in the
00:36:38.100 voting and it
00:36:38.740 got his channel
00:36:39.440 banned.
00:36:39.800 If we're talking
00:36:41.660 about that guy,
00:36:42.580 his podcast
00:36:43.380 was around
00:36:43.720 230,000.
00:36:45.220 Steve Bannon
00:36:45.880 was 200 to
00:36:46.680 300,000.
00:36:48.000 If,
00:36:48.400 if you talk
00:36:49.220 about the
00:36:50.160 RFK thing
00:36:50.900 is around
00:36:51.160 300,000.
00:36:52.340 These are
00:36:52.760 subscriber numbers.
00:36:54.000 So,
00:36:54.240 you know,
00:36:54.980 significantly
00:36:55.800 more,
00:36:56.720 it's sort of
00:36:57.700 an aggregate
00:36:58.060 than anything
00:36:58.560 that you're
00:36:58.920 getting with
00:36:59.240 late night
00:36:59.600 hosts or
00:36:59.980 anything like
00:37:00.380 this.
00:37:00.540 And this
00:37:00.900 was all
00:37:01.200 done in
00:37:01.500 secret.
00:37:02.300 Yeah.
00:37:03.340 It's the
00:37:04.040 in secret
00:37:04.480 part that
00:37:05.000 gets to
00:37:05.440 me when
00:37:06.180 there's enough
00:37:06.840 public scrutiny
00:37:07.560 about something.
00:37:08.880 I mean,
00:37:09.140 actually,
00:37:09.840 great point
00:37:10.980 with Jimmy
00:37:11.700 Kimmel,
00:37:12.200 right?
00:37:12.600 It was,
00:37:13.180 it was public.
00:37:14.160 There was a
00:37:14.760 backlash.
00:37:15.940 Disney reacted.
00:37:17.300 Disney put
00:37:17.720 Kimmel back
00:37:18.180 on the air.
00:37:19.140 Kimmel's back
00:37:19.620 on the air.
00:37:20.340 All right.
00:37:21.060 Fine.
00:37:21.900 So it's,
00:37:23.960 it just,
00:37:24.440 it's a better
00:37:24.900 outcome than
00:37:25.740 these people
00:37:26.480 getting secretly
00:37:28.500 banned.
00:37:29.580 And to many
00:37:30.720 people just
00:37:31.260 looking kind
00:37:31.880 of like,
00:37:32.540 butthurt
00:37:33.260 conspiracy
00:37:33.940 theorists,
00:37:34.820 I think
00:37:35.080 it's really
00:37:35.440 easy to
00:37:35.980 look the
00:37:36.320 other way
00:37:36.740 when there
00:37:37.180 isn't really
00:37:37.720 a good
00:37:38.000 public record
00:37:38.740 for someone's
00:37:39.440 censorship.
00:37:40.800 Yeah.
00:37:41.360 Yeah.
00:37:42.120 Well,
00:37:42.700 they probably
00:37:43.100 posted some
00:37:43.900 slurs or
00:37:44.520 something that
00:37:45.020 run counter
00:37:45.740 to this
00:37:46.320 platform's
00:37:47.380 policies.
00:37:48.320 You would
00:37:48.720 never know
00:37:49.560 that this
00:37:50.100 was the
00:37:50.740 White House
00:37:51.260 emailing
00:37:51.980 their dedicated
00:37:52.760 email.
00:37:53.060 Hey,
00:37:53.320 RFK just
00:37:54.040 said lab
00:37:54.500 leak is real.
00:37:55.360 That might
00:37:55.640 lead to
00:37:55.960 Fauci.
00:37:56.420 Ban
00:37:56.600 them.
00:37:57.880 Yeah.
00:37:58.380 So I,
00:37:59.020 yeah,
00:37:59.240 I like,
00:38:00.040 I appreciate
00:38:00.960 that.
00:38:01.720 And know
00:38:02.020 what happens.
00:38:02.940 I mean,
00:38:03.140 imagine if
00:38:03.860 Kamala had
00:38:04.420 won.
00:38:05.840 Where are
00:38:06.320 we?
00:38:06.860 None of
00:38:07.180 this ever
00:38:07.480 comes to
00:38:07.860 light.
00:38:08.600 This stuff
00:38:09.060 just stays
00:38:09.640 going on.
00:38:11.120 You know,
00:38:11.400 we increasingly
00:38:12.140 become more
00:38:12.720 and more
00:38:12.940 controlled to
00:38:13.460 where like
00:38:13.820 the UK,
00:38:14.780 like look at
00:38:15.360 what's happening
00:38:15.760 in the UK.
00:38:16.380 Steve Laws
00:38:17.000 was arrested
00:38:17.500 recently for a
00:38:18.480 post on
00:38:19.000 Twitter.
00:38:19.760 What did
00:38:20.280 he say?
00:38:21.460 And,
00:38:21.860 and he's
00:38:22.240 not allowed
00:38:22.520 to talk
00:38:22.840 about what
00:38:23.220 the post
00:38:23.500 was.
00:38:23.760 This is
00:38:23.940 what the
00:38:24.360 comments.
00:38:24.940 Oh my
00:38:25.080 gosh,
00:38:25.360 that's
00:38:25.580 creepy.
00:38:26.420 Talk about
00:38:27.220 and they
00:38:28.180 will not
00:38:28.480 tell you
00:38:28.900 often what
00:38:29.600 got you
00:38:29.980 arrested.
00:38:30.600 That makes
00:38:31.060 me nervous.
00:38:31.740 Like,
00:38:32.280 you want to
00:38:32.840 know what
00:38:33.140 not to
00:38:33.540 say.
00:38:34.480 Pete
00:38:34.720 North of
00:38:35.500 Northern
00:38:35.820 Variant
00:38:36.280 was arrested
00:38:37.060 at night
00:38:37.480 by North
00:38:38.100 Yorkshire
00:38:38.500 police.
00:38:39.440 And
00:38:39.920 literally
00:38:40.700 what his
00:38:41.180 post was
00:38:41.720 that was
00:38:42.000 just like
00:38:42.440 a meme
00:38:42.860 that said
00:38:43.240 F Islam
00:38:44.260 in part
00:38:44.640 of it.
00:38:45.120 Okay.
00:38:45.680 And again,
00:38:46.000 it's like
00:38:46.420 you can't
00:38:46.980 control,
00:38:47.600 you can insult
00:38:48.280 some groups
00:38:48.780 but not
00:38:49.040 other groups.
00:38:49.840 You will
00:38:50.380 regularly get,
00:38:51.180 I mean,
00:38:51.320 imagine if
00:38:51.820 you could
00:38:52.020 ban someone
00:38:52.380 by being
00:38:52.760 like white
00:38:53.240 tears or
00:38:53.920 like male
00:38:54.420 tears or
00:38:55.100 something like
00:38:55.560 that,
00:38:55.800 right?
00:38:55.960 But if
00:38:56.200 you say,
00:38:57.280 you know,
00:38:57.700 question Islam,
00:38:58.640 all of a
00:38:59.000 sudden you're
00:38:59.300 in jail,
00:38:59.820 right?
00:39:01.320 David
00:39:01.720 Atherton was
00:39:02.360 arrested for
00:39:02.760 posting similar
00:39:03.380 things about
00:39:03.780 Islam.
00:39:04.640 And you're
00:39:05.640 seeing this
00:39:05.980 throughout the
00:39:06.280 UK.
00:39:06.480 This is
00:39:06.860 where we
00:39:07.200 go.
00:39:08.240 Specifically,
00:39:08.800 the longer
00:39:09.160 post that he
00:39:09.600 said was F
00:39:10.260 Palestine,
00:39:10.940 F Hamas,
00:39:11.840 F Islam.
00:39:13.300 Like that,
00:39:14.080 imagine how
00:39:14.920 many atheists
00:39:15.840 have said
00:39:16.140 things like that
00:39:16.600 about Christianity
00:39:17.220 or how many
00:39:17.720 feminists or
00:39:18.180 how many
00:39:18.400 trans activists
00:39:18.940 have.
00:39:19.780 And yet we're
00:39:20.160 not seeing,
00:39:21.260 I'm almost
00:39:21.840 like,
00:39:22.160 you know what,
00:39:22.620 we'll just
00:39:22.900 leave this all
00:39:23.520 in place,
00:39:23.920 but we get
00:39:24.200 to use it
00:39:24.500 for Christian
00:39:24.900 stuff now
00:39:25.340 too.
00:39:26.800 How about
00:39:27.140 that?
00:39:28.540 If you do
00:39:29.260 that,
00:39:29.640 if Trump
00:39:30.060 administration
00:39:30.580 or the
00:39:31.320 right in
00:39:31.720 the UK
00:39:31.960 started to
00:39:32.440 do that,
00:39:33.240 the left
00:39:33.680 would get
00:39:33.980 rid of
00:39:34.240 these laws
00:39:34.640 lickety-split.
00:39:35.660 That's the
00:39:36.280 benefit of
00:39:37.860 abusing
00:39:38.240 these laws
00:39:38.840 in kind.
00:39:41.240 Because then
00:39:41.940 they're like,
00:39:42.400 oh,
00:39:43.020 we should
00:39:44.520 make it
00:39:44.800 illegal.
00:39:45.740 Yeah,
00:39:46.140 no,
00:39:46.340 that's the
00:39:46.780 point that
00:39:47.060 I haven't
00:39:47.360 really seen
00:39:48.680 made is
00:39:49.340 you just
00:39:49.740 want to
00:39:50.300 create forcing
00:39:51.440 functions that
00:39:52.180 make this
00:39:52.520 impossible for
00:39:53.240 anyone to
00:39:53.860 do.
00:39:54.560 So I like
00:39:55.280 that.
00:39:55.780 I do.
00:39:56.680 Oh,
00:39:56.960 interesting
00:39:57.280 discussion.
00:39:57.960 Because I've
00:39:58.540 seen a lot
00:39:58.960 of very
00:39:59.640 one-note
00:40:01.380 condemnations
00:40:02.840 of Trump's
00:40:03.640 actions around
00:40:04.300 Kimmel without
00:40:04.960 larger context.
00:40:06.720 And so I
00:40:07.080 appreciate you're
00:40:07.560 taking a deeper
00:40:08.140 look here.
00:40:08.300 I heard that
00:40:08.740 Ben Shapiro was
00:40:09.800 even against
00:40:10.380 him, which
00:40:10.900 seems stupid
00:40:12.020 to me.
00:40:12.680 Against what
00:40:12.920 Trump had done
00:40:13.560 with Jimmy
00:40:14.060 Kimmel?
00:40:14.720 Yeah, it
00:40:14.960 seems like
00:40:15.260 actively stupid.
00:40:16.120 Like, we're
00:40:16.420 playing a
00:40:16.820 larger game
00:40:17.360 here.
00:40:17.700 If one
00:40:18.760 team knows
00:40:19.800 that you
00:40:20.460 never pick
00:40:21.020 the nunchucks,
00:40:21.860 they never
00:40:22.400 ban the
00:40:22.900 nunchucks.
00:40:23.960 You know,
00:40:24.440 they're never
00:40:25.860 going to ban
00:40:26.680 something if
00:40:27.280 you never
00:40:27.660 pick it.
00:40:29.440 And we
00:40:29.860 need to get
00:40:30.320 these bans
00:40:30.940 in place,
00:40:31.500 people.
00:40:32.440 Yeah.
00:40:33.700 Yeah, fair
00:40:34.440 point.
00:40:35.260 I don't even
00:40:35.540 think that that
00:40:36.040 would be, if
00:40:36.600 the Trump
00:40:36.800 administration just
00:40:37.440 goes out and
00:40:37.880 says that's
00:40:38.280 why they're
00:40:38.520 doing it.
00:40:39.540 It's like,
00:40:40.680 hey, the
00:40:41.020 Biden
00:40:41.220 administration
00:40:41.680 did this.
00:40:42.560 We're going
00:40:43.000 to do it
00:40:43.420 until you
00:40:44.060 make it
00:40:44.360 illegal.
00:40:44.900 Here is the
00:40:45.580 law to
00:40:46.120 make it
00:40:46.460 illegal.
00:40:46.880 I want
00:40:47.440 you to
00:40:47.760 pass this
00:40:48.280 law.
00:40:50.200 That would
00:40:50.720 be balls
00:40:51.120 out.
00:40:51.560 I would
00:40:51.900 do that
00:40:52.160 if I was
00:40:52.420 president.
00:40:52.760 That's why
00:40:52.940 you guys
00:40:53.140 need to
00:40:53.420 get on
00:40:54.920 this.
00:40:58.540 All right.
00:40:59.260 I mean,
00:40:59.540 it is weird
00:41:00.380 how close we
00:41:01.260 came to a
00:41:01.660 really horrific
00:41:02.420 timeline.
00:41:03.300 When everybody's
00:41:03.840 like, how
00:41:04.640 do we see
00:41:05.060 the Democrats
00:41:05.600 as the
00:41:05.940 totalitarian
00:41:06.800 ones?
00:41:07.120 And it's
00:41:07.340 like, this
00:41:08.320 and your
00:41:08.840 guy's
00:41:09.180 reaction to
00:41:09.940 Jimmy Kimmel
00:41:10.540 versus this,
00:41:11.600 which has
00:41:12.060 been
00:41:12.240 crickets.
00:41:14.760 And we
00:41:15.400 just want
00:41:15.680 to, we
00:41:16.020 want to
00:41:16.300 avoid
00:41:16.580 becoming
00:41:16.940 the
00:41:17.100 UTAs
00:41:17.640 basically.
00:41:18.720 Yeah.
00:41:18.900 And it
00:41:19.180 shows when
00:41:19.580 they do
00:41:19.860 these reactions,
00:41:20.520 like what
00:41:20.960 about free
00:41:21.420 speech?
00:41:21.940 They do
00:41:22.900 not care
00:41:24.200 about free
00:41:25.080 speech.
00:41:25.620 They care
00:41:26.600 about controlling
00:41:27.560 you.
00:41:28.660 If you fall
00:41:29.540 for this
00:41:30.000 BS, you
00:41:31.280 allow them
00:41:31.920 to do
00:41:32.260 that.
00:41:35.720 Anyway,
00:41:36.860 I am
00:41:37.980 just so,
00:41:39.060 so, so
00:41:39.580 excited to
00:41:40.580 be your
00:41:41.060 husband.
00:41:41.820 To be on
00:41:42.120 this side
00:41:42.640 politically is
00:41:43.600 a wonderful
00:41:44.400 party over
00:41:44.900 here.
00:41:45.640 They're all
00:41:45.980 so nice.
00:41:46.660 They are
00:41:47.100 so nice
00:41:48.180 compared to
00:41:48.900 when I
00:41:49.520 worked with
00:41:50.180 leftist
00:41:50.660 activists.
00:41:51.620 Yeah, I
00:41:52.020 appreciate the
00:41:52.620 freedom of
00:41:53.640 it and the
00:41:54.400 fact that a
00:41:55.000 lot of people
00:41:55.480 can be in
00:41:55.940 the same
00:41:56.220 room and
00:41:56.680 disagree and
00:41:57.360 that's okay.
00:41:58.400 That's what
00:41:59.140 I'm all
00:41:59.420 about.
00:42:00.140 Oh, yeah.
00:42:00.980 Yeah.
00:42:01.180 I mean, that
00:42:01.520 seems to define
00:42:02.380 the modern
00:42:02.700 right.
00:42:03.020 is respectful
00:42:05.500 disagreement
00:42:06.240 amongst
00:42:06.640 ourselves and
00:42:08.020 I really
00:42:09.040 deeply
00:42:09.480 appreciate
00:42:09.960 that and
00:42:11.300 it's so
00:42:11.660 different from
00:42:12.640 the alternate
00:42:13.860 sort of
00:42:15.040 flotilla
00:42:15.960 disagreements
00:42:16.720 and stuff
00:42:17.140 like that.
00:42:18.260 Yeah.
00:42:20.740 Please
00:42:21.300 excuse me.
00:42:21.960 I'm sorry.
00:42:22.320 I think it's
00:42:22.800 because when
00:42:24.560 we disagree,
00:42:25.280 we're looking
00:42:25.600 for what's
00:42:26.040 true.
00:42:27.020 When I get
00:42:27.800 an argument
00:42:28.140 with another
00:42:28.540 right-leaning
00:42:28.860 individual,
00:42:29.220 I am not
00:42:31.100 arguing over
00:42:32.080 which truth
00:42:32.920 we are going
00:42:33.600 to impose
00:42:34.300 upon people
00:42:35.020 regardless of
00:42:35.800 its veracity.
00:42:36.880 I'm trying to
00:42:37.800 figure out and
00:42:38.680 convince them
00:42:39.500 that my beliefs
00:42:40.420 are actually
00:42:40.900 true.
00:42:41.860 You know,
00:42:42.180 when you look
00:42:42.520 at something
00:42:42.820 like the
00:42:43.160 blow-up of
00:42:43.700 the flotilla
00:42:44.340 where, you
00:42:45.200 know, the
00:42:45.520 people march
00:42:46.740 out because
00:42:47.420 there's a gay
00:42:48.060 person on
00:42:48.560 board because
00:42:49.040 they're Islamists,
00:42:50.320 you know, when
00:42:50.720 they're debating
00:42:51.500 with the gay
00:42:52.160 person, you
00:42:52.940 know, they're
00:42:53.180 not having
00:42:55.220 like a debate
00:42:56.140 over, like,
00:42:57.600 is gay okay?
00:42:58.580 It's like,
00:42:59.220 do we live
00:43:00.080 in this
00:43:01.300 reality or do
00:43:02.040 we live in
00:43:02.480 this reality
00:43:03.200 because this
00:43:03.720 is the reality
00:43:04.220 I want to
00:43:04.660 impose upon
00:43:05.100 the population
00:43:05.620 and we were
00:43:06.620 only able to
00:43:07.180 agree with
00:43:07.680 each other
00:43:08.100 and coexist
00:43:09.700 because I
00:43:10.960 pretended that
00:43:11.560 you didn't
00:43:11.860 have these
00:43:12.260 views and
00:43:12.640 you pretended
00:43:13.040 I didn't
00:43:13.400 have these
00:43:13.760 views.
00:43:14.580 Whereas in
00:43:15.140 the right,
00:43:15.640 like, I'm
00:43:15.980 well aware of
00:43:17.060 where we
00:43:17.420 differ from
00:43:17.860 Catholics.
00:43:19.520 I'm well
00:43:20.100 aware of
00:43:20.520 where we
00:43:20.760 differ from
00:43:21.160 Jews, right?
00:43:21.720 Like, I'm
00:43:22.100 well aware.
00:43:23.240 So...
00:43:23.600 Well, what I
00:43:24.240 also appreciate
00:43:25.000 is that groups
00:43:26.020 are willing to
00:43:27.420 carry their own
00:43:28.740 weight and
00:43:29.460 tend to
00:43:29.740 their own
00:43:30.020 flocks.
00:43:30.460 Whereas on
00:43:31.300 the left,
00:43:31.900 there's the
00:43:32.340 expectation that
00:43:33.220 everyone else is
00:43:33.900 going to carry
00:43:34.340 my special
00:43:35.040 interest group
00:43:35.640 and put their
00:43:36.560 needs behind
00:43:37.300 mine.
00:43:37.820 Whereas there's
00:43:38.920 not this
00:43:39.260 expectation on
00:43:40.100 the right that
00:43:41.000 my religious
00:43:42.540 group or
00:43:43.240 ethnic group or
00:43:44.240 cultural group
00:43:45.300 is entitled to
00:43:47.840 the support of
00:43:48.900 every other group
00:43:49.640 whether or not
00:43:50.220 they consent.
00:43:50.780 that's another
00:43:51.640 really big one
00:43:52.200 for me is the
00:43:52.880 entitlement is
00:43:54.080 way lower.
00:43:56.060 So it's good.
00:43:57.060 Anyway, I love
00:43:57.740 you.
00:43:58.220 And tonight I
00:43:59.080 was thinking
00:43:59.420 maybe I could
00:44:00.020 really quickly
00:44:00.800 shred and
00:44:01.560 cook down a
00:44:02.120 small sub
00:44:02.720 batch of
00:44:03.120 the rendang,
00:44:04.400 saute it,
00:44:05.040 and then air
00:44:06.000 fry it under
00:44:06.680 mozzarella cheese.
00:44:07.520 What do you
00:44:07.760 think?
00:44:10.420 Just to give
00:44:11.080 it a try.
00:44:12.300 I will try
00:44:14.000 the meat, but
00:44:14.460 I think it
00:44:14.720 might be at
00:44:15.020 the stage because
00:44:15.740 it's been about
00:44:16.180 a day since we
00:44:17.220 started cooking it
00:44:17.920 where it is
00:44:18.620 uniquely tough
00:44:19.480 rather than
00:44:19.980 uniquely soft.
00:44:20.880 Right.
00:44:22.300 We don't have
00:44:23.020 to.
00:44:23.160 But we'll see
00:44:23.540 because it's a
00:44:23.880 different cut.
00:44:24.740 So because
00:44:25.060 usually I used
00:44:25.660 to meet for
00:44:26.100 this and I
00:44:26.440 decided not to
00:44:27.120 go a bit
00:44:27.520 fancier this
00:44:28.120 time.
00:44:29.080 You know,
00:44:29.240 somebody's
00:44:29.480 saying, oh,
00:44:29.980 Malcolm makes
00:44:30.460 his wife cook
00:44:31.100 for him.
00:44:31.860 Oh, she's
00:44:32.300 pregnant.
00:44:33.780 You know,
00:44:34.120 that's I also
00:44:34.860 make her make
00:44:35.420 money for me.
00:44:36.340 Okay.
00:44:37.220 I'm the full.
00:44:39.820 I bring nothing
00:44:42.240 to this relationship.
00:44:43.400 He's absolutely
00:44:43.980 lying.
00:44:44.740 He's absolutely
00:44:45.140 lying.
00:44:45.860 In the middle
00:44:46.220 of the night,
00:44:46.700 who goes and
00:44:47.320 gets the kids?
00:44:48.320 It's Malcolm.
00:44:49.120 When the kids
00:44:49.660 need to get a
00:44:50.600 doctor appointment
00:44:51.180 or get picked
00:44:52.000 up from school,
00:44:52.700 it's Malcolm.
00:44:53.600 On the weekends,
00:44:54.520 who's playing with
00:44:55.000 the kids all day?
00:44:55.700 It's Malcolm.
00:44:56.600 Oh, gosh.
00:44:57.760 Don't throw me
00:44:58.440 into the buyer
00:44:58.960 patch.
00:44:59.900 Don't make me
00:45:00.500 play with the
00:45:01.120 kids on weekends.
00:45:02.520 It's such a
00:45:03.500 burden.
00:45:03.920 Dads pervasively
00:45:06.820 call it babysitting
00:45:07.960 when they watch
00:45:08.520 kids because they
00:45:09.240 think that it's
00:45:09.820 special when
00:45:11.820 they do it.
00:45:12.960 I thought
00:45:13.740 about, as
00:45:15.460 soon as we
00:45:15.740 get an income
00:45:16.180 source coming
00:45:16.620 in, just
00:45:17.220 going full-time
00:45:18.180 with child care
00:45:18.760 because I enjoy
00:45:19.940 it so much.
00:45:20.340 I thought about
00:45:20.480 it, too.
00:45:21.200 They're wonderful.
00:45:23.500 Anyway, let's
00:45:24.560 move on.
00:45:25.200 Got to go, but
00:45:25.920 I love you very
00:45:26.520 much.
00:45:26.820 What's the next
00:45:27.460 piece?
00:45:27.680 Would you want
00:45:27.940 to do one for
00:45:28.620 I already sent you
00:45:29.080 one link.
00:45:29.860 Okay, great.
00:45:34.420 Hey!
00:45:35.120 Yeah, they're
00:45:35.560 making little
00:45:36.060 cakes.
00:45:36.960 What do you
00:45:37.400 do?
00:45:38.680 Whoa!
00:45:39.520 I want a
00:45:39.940 robot room like
00:45:40.700 that.
00:45:41.540 Whoa!
00:45:43.420 Do they look
00:45:44.900 yummy, too?
00:45:45.580 You don't have
00:45:46.240 a bear belt.
00:45:47.600 You don't have
00:45:48.460 a bear belt
00:45:50.900 like that, too.
00:45:51.860 We don't have
00:45:52.600 a bear belt
00:45:53.200 like that, do we?
00:45:54.200 Yeah!
00:45:55.400 I want a
00:45:56.300 bear belt
00:45:56.780 like that.
00:45:57.520 Mommy?
00:45:57.900 Whoa!
00:45:59.000 Look at that
00:45:59.520 machine.
00:46:00.700 I think it's
00:46:01.520 cut him in half.
00:46:02.460 What do you
00:46:02.720 think?
00:46:02.860 Mommy?
00:46:05.440 And look
00:46:06.060 what they're
00:46:06.480 making.
00:46:07.140 You don't have
00:46:07.540 your clothes,
00:46:08.240 but you need
00:46:08.900 the butter.
00:46:09.780 Mommy?
00:46:10.840 Yeah, I think
00:46:11.640 because they're
00:46:11.920 going to put
00:46:12.180 icing in the
00:46:12.760 middle.
00:46:13.020 They want to
00:46:13.280 walk around
00:46:13.600 and they can
00:46:14.180 get a little
00:46:14.280 thing.
00:46:14.340 Mommy?
00:46:15.120 Yeah,
00:46:15.420 I'm like...
00:46:15.900 Whoa, look
00:46:17.920 they're putting
00:46:18.240 all the icing.
00:46:19.020 I'm sorry.
00:46:19.920 I'm going to
00:46:20.420 ice.
00:46:21.040 We can keep
00:46:22.060 that.
00:46:22.320 You're...