Based Camp - Google Reveals How Biden Admin Brainwashed Public

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. 0.97

00:02:05.120 And all, he didn't say, Islam is evil. 0.99

00:02:06.980 Islam, he said, Islam is questionable. 0.95

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? 0.99

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? 0.99

00:03:36.900 At least in China, they can, like, I'm just going to put the freeway there, tough shit. 1.00

00:03:40.940 But, like, oh, I'm just going to put the freeway there, tough. 0.98

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. 0.99

00:06:20.000 It would be dumb. 0.98

00:06:20.680 It doesn't matter. 0.98

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. 0.90

00:07:31.420 You know, they'll say, oh, well, it is provably true that questioning trans identities gets trans people killed. 0.53

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. 0.92

00:10:50.740 Like, you have to ban them. 0.97

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. 1.00

00:13:55.040 Burn the witch. 1.00

00:13:55.800 Yeah, burn it. 1.00

00:13:57.760 Wow. 0.71

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. 1.00

00:14:15.460 You know, I was taken down and all I got was this stupid YouTube badge. 0.98

00:14:19.520 Yeah, I'm not going to go over all of these 0.96

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. 0.71

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. 0.92

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 0.82

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 1.00

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 0.63

00:22:45.620 freaking cotton masks 0.97

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 0.99

00:23:23.620 because they were ugly 0.97

00:23:25.940 and everyone looked 0.97

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. 0.95

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. 0.59

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. 0.59

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 1.00

00:30:14.960 at killing things. 0.94

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 0.93

00:31:11.220 murdering someone 0.99

00:31:11.920 on the street 0.97

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 0.55

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 1.00

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 0.60

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, 1.00

00:39:11.840 F Islam. 1.00

00:39:13.300 Like that, 0.65

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 1.00

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 0.88

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 0.99

00:40:10.900 seems stupid 1.00

00:40:12.020 to me. 0.99

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 1.00

00:40:15.260 actively stupid. 1.00

00:40:16.120 Like, we're 1.00

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 0.75

00:40:50.720 be balls 0.97

00:40:51.120 out. 0.97

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 0.98

00:42:47.420 there's a gay 0.90

00:42:48.060 person on 0.97

00:42:48.560 board because

00:42:49.040 they're Islamists, 0.92

00:42:50.320 you know, when

00:42:50.720 they're debating 0.81

00:42:51.500 with the gay 0.99

00:42:52.160 person, you 0.70

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 0.52

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 0.96

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 0.99

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! 0.99

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! 0.71

00:45:39.520 I want a

00:45:39.940 robot room like

00:45:40.700 that.

00:45:41.540 Whoa! 0.71

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! 0.71

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 0.98

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...

Based Camp - October 01, 2025

Google Reveals How Biden Admin Brainwashed Public

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