Fleccas Talks Podcast - EXPOSED： SOMALIS IN MN ARE SCAMMING YOUR TAX DOLLARS TO FUND TERRORISM

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00:00:45.080 All right, welcome back to Flagest Talks, a podcast episode 308 today on the show.

00:00:51.860 The Epstein files are being released, but are they?

00:00:55.360 Are they?

00:00:56.760 Then, an ice crackdown in North Carolina showing us how bad our immigration system really is.

00:01:02.440 We'll go over the details there.

00:01:04.000 Then, in our migrant section as well, Somali scammers scammed our tax dollars and used it 1.00

00:01:08.880 to fund terrorism.

00:01:10.300 Great.

00:01:11.040 And last but not least, in urban decay, elementary school kids in Chicago beat up a pregnant

00:01:16.680 woman and waiting to hear what Mayor Brandon Johnson's response was.

00:01:21.200 All this and more is Flagest Talks, a podcast episode 308, ranked the best news podcast of all time.

00:01:31.140 Because words are just words until action actually starts.

00:01:34.740 And actions speak louder than words.

00:01:36.300 But at the same time, words speak louder than actions because sometimes it's the right

00:01:40.600 thing to do.

00:01:41.180 It's the right thing to do.

00:01:42.320 Very cool.

00:01:43.320 Very cool.

00:01:45.180 It's What the Stops, a podcast featuring Richard.

00:01:47.580 We're at Richard.

00:01:48.560 We're at Richard.

00:01:49.080 We're at Richard.

00:01:49.260 We're at Richard.

00:01:53.400 All right.

00:01:54.480 One for one on the intro as always.

00:01:57.140 Guys, did you know a Harvard study with thousands of people showed that coco flavanols could reduce

00:02:02.340 the risk of a heart attack by 27%?

00:02:04.620 It's called the Cosmos Trial, and it's the biggest study ever done on cocoa.

00:02:09.640 Coco flavanols keep your arteries flexible, but when normal chocolate is processed, 90% of the

00:02:14.860 flavanols are destroyed.

00:02:16.440 It's like the difference between adding water versus high octane to your gas tank.

00:02:20.640 Dr. Eric Berg, one of the most watched health educators on YouTube, has been talking about the

00:02:25.300 benefits of cocoa for years.

00:02:27.040 Check out this clip.

00:02:28.140 There's some seriously amazing benefits for the heart.

00:02:30.580 Decreased blood pressure because you're getting increased nitric oxide, which actually helps the

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00:02:34.780 Now, the blood pressure effect can also happen due to the high levels of magnesium.

00:02:37.680 It's also loaded with iron and potassium and copper and phosphorus and zinc.

00:02:40.660 Number two, it can increase your HDL, decrease your LDL, especially the oxidized LDL.

00:02:45.140 Number three, major studies showing the decrease in risk of heart disease.

00:02:48.160 Okay.

00:02:48.620 This is the big one right here.

00:02:50.020 Decreasing endothelial dysfunction.

00:02:51.640 This is where heart disease starts.

00:02:53.060 It's the inside of the layer of the artery, specifically the coronary, that starts to become

00:02:56.560 damaged.

00:02:56.940 And then the cholesterol comes and the calcium comes and builds a clacking and a clot.

00:03:00.640 And so these antioxidants protect the inside layer of the artery.

00:03:04.300 That's exactly why I switched to Black Forest High Flavanol Cocoa.

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00:03:55.880 Let's get to housekeeping.

00:03:59.140 All right.

00:03:59.820 Thank you to Black Forest Supplements for sponsoring.

00:04:01.700 Thank you, Black Forest.

00:04:02.740 I love those guys.

00:04:03.580 All right.

00:04:03.880 Happy Friday, everybody.

00:04:05.080 Thank you.

00:04:05.640 Feels good to be back.

00:04:06.800 Yeah.

00:04:07.380 You got your winter wear on?

00:04:09.060 I was just telling Fleckus it's November 21st right now.

00:04:14.440 It was summer two weeks ago, I thought.

00:04:16.280 It was just hot.

00:04:17.140 Just summer.

00:04:17.560 What happened to us?

00:04:18.020 And now it's not summer anymore.

00:04:19.920 Happens fast.

00:04:20.780 It does.

00:04:21.520 All right.

00:04:21.800 We have a lot to get to today, and I want to open up with something pretty important

00:04:25.220 that's been on my mind.

00:04:26.480 Okay.

00:04:27.180 So I got a comment, and it says, what does it say?

00:04:30.760 We're the reason why?

00:04:31.660 We're the ones that did that to your hairline?

00:04:34.680 Is that about me?

00:04:36.080 Are they insulting your hairline?

00:04:37.660 I didn't even think I had a hairline problem.

00:04:39.220 I was actually proud that my hairline's pretty intact.

00:04:41.900 Yeah.

00:04:42.460 Yeah.

00:04:43.360 Is it?

00:04:44.140 But I don't know.

00:04:45.220 It looks good to me.

00:04:45.840 Maybe something here.

00:04:46.840 This could be going back a little bit.

00:04:48.300 But you're not even on the Norwood scale, I don't think.

00:04:50.620 I'm not even on the Norwood scale.

00:04:52.080 But actually, the Norwood scale even covers full head of hair.

00:04:55.600 So you are on it, but you're on the good side of it.

00:04:57.480 I'm on the good side of the Norwood scale.

00:04:58.760 And also, when I grow my hair out, it's insane.

00:05:02.700 Uh-huh.

00:05:03.080 Yeah, that's true.

00:05:03.680 That's true.

00:05:04.320 What I think this shows, I don't think this says anything about your hair.

00:05:06.840 I think this says random comment, no likes, no replies, no profile picture.

00:05:12.760 I think someone can get in your head.

00:05:14.520 They can just get to you.

00:05:16.380 No.

00:05:17.060 Random comment.

00:05:18.220 They can just get to you.

00:05:19.860 And we open the show with it.

00:05:21.260 Okay.

00:05:21.780 So the hairline is fine.

00:05:23.380 Let's just set the record straight.

00:05:24.720 And everyone agrees?

00:05:25.800 Yeah, the hairline's fine.

00:05:27.020 Nick, the editor, you agree?

00:05:28.500 Everyone agrees?

00:05:29.260 Yeah.

00:05:29.680 The hairline is fine.

00:05:31.180 Let's move on to some real news.

00:05:32.800 Okay.

00:05:33.060 But before we do, a funny meme I saw for Thanksgiving.

00:05:37.940 For Thanksgiving.

00:05:38.620 Finish your dinner.

00:05:39.660 There are 350-pound women on government assistance staving to death. 1.00

00:05:43.960 Starving to death is a little bit of a typo.

00:05:46.360 But that's funny.

00:05:47.420 Thanksgiving's coming up, and it used to be, oh, there's starving kids in Africa.

00:05:51.600 Yeah. 0.96

00:05:52.040 And now there's fat, obese women in the city who are taking all our money. 1.00

00:05:57.860 Yeah. 0.97

00:05:58.020 You can walk to the wrong side of town and see where it's going, see how they live.

00:06:02.040 It's really frustrating.

00:06:03.500 It is very frustrating.

00:06:04.800 All right.

00:06:05.060 Let's get to the real show now that we're here.

00:06:07.140 Yeah.

00:06:07.300 The Epstein files are being released, which is interesting development, considering the 0.73

00:06:12.740 process that brought us here.

00:06:14.340 Can you read that meme?

00:06:15.720 Yeah.

00:06:16.020 It says, Pam Bondi releases the Epstein files.

00:06:19.500 The FBI was hiding the Epstein files.

00:06:21.720 There were never any Epstein files.

00:06:23.540 We must redact the Epstein files.

00:06:25.700 That's kind of how the gaslighting pipeline worked.

00:06:28.320 Yeah.

00:06:28.400 There are no files.

00:06:29.500 There are files.

00:06:30.180 They're redacted.

00:06:30.820 It's an ongoing investigation.

00:06:32.540 And then Pam Bondi was asked about it.

00:06:34.280 And this is what she said.

00:06:35.800 The issue with the new information that you just indicated, is the department seeking

00:06:42.780 information, perhaps from the Epstein estate, because Mr. Blanche did not have that information

00:06:47.900 when he interviewed Ghislaine Maxwell?

00:06:50.080 What new information?

00:06:51.340 And would you limit the new investigation to just those named persons that the president

00:06:55.920 talked about, or is this a broad, open-ended investigation?

00:06:59.240 I would refer to the deputy attorney general's post that he put out on X, and we're not going

00:07:08.200 to say anything else on that because now it is a pending investigation in the Southern

00:07:12.140 District of New York.

00:07:13.680 You're on point.

00:07:14.900 Do you see how when she answers the question, she starts to have that crack smile on the 0.91

00:07:20.120 side where she's kind of smiling?

00:07:21.880 Almost like a bad actor. 1.00

00:07:23.380 It's how you know she's full of shit and a lightweight. 1.00

00:07:25.460 Yeah. 1.00

00:07:26.120 And now there's like a, based on what she said, there's a new investigation.

00:07:29.560 So it's like, is the new investigation going to slow things down?

00:07:33.120 Is that going to be why everything needs to be redacted again?

00:07:35.840 Yeah.

00:07:36.100 So I, you know, I hope the Epstein files come out. 0.87

00:07:39.700 I'm not really going to believe it until all the CEOs and high up people and billionaires

00:07:44.640 resign and go to Gitmo for execution, allegedly.

00:07:47.200 Yeah.

00:07:47.420 Where Obama was last week.

00:07:49.460 No, I don't think, I think there's this, just gut instinct wise, I don't think there's

00:07:55.400 anything even in the files.

00:07:56.960 There's a couple of flights.

00:07:57.760 There's nothing really damning in the files because that would have been scrubbed by whoever

00:08:01.900 wanted the op cleaned.

00:08:03.500 That's, that's a good point.

00:08:04.700 Like the op, it was an op, it was a blackmail operation.

00:08:07.760 So like the files you'd assume are like whatever they were using as blackmail.

00:08:11.680 Like here's Bill Clinton with doing whatever.

00:08:14.520 I don't know if that exists anymore.

00:08:16.220 That didn't get to the Southern district of New York.

00:08:18.320 Those files didn't fall on some prosecutor's desk.

00:08:21.180 It's like, all right, the videos of everyone doing horrible stuff, delete those, give them

00:08:25.720 the, give them the flight logs.

00:08:27.000 Yeah.

00:08:27.240 I don't get it.

00:08:27.960 So that's kind of where we're at.

00:08:29.800 We'll see what happens.

00:08:30.740 We're hoping for the best.

00:08:31.660 Trump signed the release.

00:08:33.660 So it should be coming out in the next 30 days, apparently.

00:08:36.600 Yeah.

00:08:37.080 And the only representative who voted against the release of the Epstein files was Clay

00:08:41.380 Higgins.

00:08:42.080 And here's him being asked if he's America first or Israel first.

00:08:47.040 Okay.

00:08:47.540 So can you answer the original question?

00:08:49.080 Who do you care about more?

00:08:50.340 U S or Israel? 0.92

00:08:51.100 There's no variance.

00:08:52.040 It's like you're asking, you know, do you, do you love your wife more than your daughter?

00:08:57.400 Well, it's a, and you say that's always a simple question.

00:09:01.120 It is.

00:09:01.480 Do you love your wife more than your daughter?

00:09:02.960 I love the United States more than I love Israel. 0.98

00:09:05.520 It's a very simple question.

00:09:06.460 You have great love.

00:09:07.280 And you as a, as a human being, you express that love and you have core principles that

00:09:12.600 drive you to your love for your wife and your love for your daughter.

00:09:16.680 It's, it's.

00:09:17.160 Yeah.

00:09:17.560 It's not really like that at all.

00:09:19.180 Yeah.

00:09:19.440 Bad metaphor.

00:09:20.440 It doesn't make sense.

00:09:21.540 What are you doing?

00:09:22.340 He's got the poster staying with Israel.

00:09:24.520 And it's more like, who do you love more?

00:09:26.460 Your wife or your mistress?

00:09:27.920 Yeah.

00:09:28.600 That's kind of maybe a more accurate metaphor.

00:09:31.240 And we all know Epstein was running the deep state blackmail op.

00:09:34.080 Like we said, powered by our CIA in Israel.

00:09:36.960 But then you ask people like him or even officer Tatum.

00:09:39.920 I saw this the other day.

00:09:41.280 He was asked about Israel being involved with Epstein.

00:09:43.840 And he goes, ah, here you go again.

00:09:45.420 Blaming everything on Israel. 0.98

00:09:47.160 That one was a pretty big one.

00:09:49.160 That one was a very big one.

00:09:50.660 That one was pretty obvious.

00:09:51.980 Yeah.

00:09:52.600 And the good news though, is that the Israel first influencers are losing their influence. 0.92

00:09:58.500 I was looking at the Daily Wires YouTube the other day and they had like a simultaneous

00:10:02.920 stream on Michael Knowles, 234 watching, Matt Walsh, 357, Ben Shapiro, 698.

00:10:10.440 So no one is watching anymore.

00:10:12.740 That's a little sad.

00:10:13.480 And I like Matt Walsh.

00:10:15.020 I like Michael Knowles and Matt Walsh.

00:10:16.980 Yeah.

00:10:17.500 I like Michael Knowles the best.

00:10:19.200 Really?

00:10:19.660 Matt Walsh, I think is fine.

00:10:22.020 I don't really care for Ben Shapiro.

00:10:23.640 Matt Walsh has a lot of overlap with our show.

00:10:26.080 He covers a lot of the same things.

00:10:27.760 And if he was smart, he would leave.

00:10:29.800 He would see the ship going down and save himself.

00:10:33.280 And he would go independent and go the Tucker route or maybe even team up with Tucker and

00:10:38.040 he'd be successful and fine and could be like a legitimate voice.

00:10:40.740 But for as long as he gets a paycheck from Ben Shapiro, he's kind of out.

00:10:44.960 Yeah, that's true.

00:10:46.320 There's a lack of enthusiasm for the Daily Wire right now.

00:10:48.760 Yes.

00:10:49.260 Very much a lack of enthusiasm.

00:10:51.000 And while that's happening, Nick Fuentes, millions and millions of views.

00:10:55.620 Yeah.

00:10:55.840 His shows, his streams get millions of views.

00:11:00.220 He's all over your guys' algos on Instagram and Twitter.

00:11:03.480 I'm sure you've seen the clips.

00:11:04.960 Millions and millions of views.

00:11:06.220 So one's going like this and the other one's going like that.

00:11:08.920 Yeah.

00:11:09.540 That's very true.

00:11:11.000 And the Babylon Bee guys are furious.

00:11:14.140 They're doing their best to stop it.

00:11:16.640 They literally would be fine with censorship.

00:11:19.040 If they could have YouTube or Instagram take down his clips, they'd go, yeah, yeah, yeah.

00:11:23.340 Do it.

00:11:24.000 They would just completely throw away all their values for that.

00:11:26.480 Yep.

00:11:26.740 All right.

00:11:27.040 Speaking of blaming Israel for everything, I saw this piece about coin clipping, this

00:11:31.200 interaction on Twitter I thought was very interesting.

00:11:33.640 Yeah.

00:11:33.860 Someone said, I also don't understand inflation, to be fair.

00:11:37.200 And then someone replied and said, coin clipping, but they made it digital.

00:11:40.980 Same coin clippers even.

00:11:42.980 And then he goes, I now understand inflation.

00:11:45.940 That's pretty good.

00:11:47.200 All right.

00:11:47.700 But if you think about what inflation is.

00:11:50.140 Boarding for flight 246 to Toronto is delayed 50 minutes.

00:11:53.340 What?

00:11:55.320 Sounds like Ojo time.

00:11:57.040 Play Ojo.

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00:11:59.040 Feel the fun with all the latest slots and live casino games.

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00:12:08.020 Play Ojo.

00:12:09.920 Boarding will begin when passenger Fisher is done celebrating.

00:12:12.880 19 plus Ontario only.

00:12:14.000 Please play responsibly.

00:12:14.860 Concerned about your gambling or that of someone close to you?

00:12:16.580 Call 1-866-531-2600 or visit connexontario.ca.

00:12:20.060 It's kind of the same as like shaving off pieces of a coin and then you like do something.

00:12:27.000 It's like you're doing something bad with the supply of money.

00:12:29.260 Like you're, you know, this isn't worth what it actually is worth when you shave off the pieces.

00:12:33.560 For sure.

00:12:33.980 It's like the same as inflation.

00:12:35.300 Yeah, we do not have sound money supply right now.

00:12:38.440 We just print it.

00:12:39.400 So there is something there.

00:12:40.400 We're separated from like, we're so far away from the earth giving you your riches, you know?

00:12:46.560 You work the land, you do this.

00:12:48.160 And it's like, I can manipulate some banking numbers and I can do this interest.

00:12:51.440 We're very far away.

00:12:52.800 And that's where a lot of interest comes from.

00:12:53.920 Interest is digital modern coin clipping.

00:12:56.200 For sure.

00:12:56.640 It is.

00:12:57.400 All right.

00:12:58.120 I don't think you understand inflation that well, though, to be honest.

00:13:00.900 Well, I understand printing money makes the rest of the money worth less.

00:13:04.820 Okay.

00:13:05.400 Yeah, that's easy.

00:13:06.220 That's the easy part.

00:13:07.260 And then shaving a piece of the money down to take the silver from it gives you the value of silver.

00:13:12.480 But then this coin is still worth 10 cents, even though it's not because it's 10% removed.

00:13:18.080 That's the same as inflation.

00:13:19.500 Okay.

00:13:19.980 I get it.

00:13:20.520 You're actually right.

00:13:21.260 Yeah, you're good.

00:13:22.360 All right.

00:13:22.940 Don't touch me.

00:13:24.680 Don't touch me.

00:13:26.120 All right.

00:13:26.680 Well, let's move on to our COVID update section.

00:13:29.860 We had some interesting things come out in the last few days.

00:13:33.040 The CDC reversed its course on autism caused by vaccines.

00:13:37.460 Can you read that and then what it says?

00:13:39.460 CDC reverses decades-long stance, admits vaccine do not cause autism claim is not evidence-based,

00:13:47.780 citing unruled out risks from infant shots.

00:13:52.340 So it says the claim vaccines do not cause autism is not an evidence-based claim because

00:13:57.480 studies have not ruled out the possibility that infant vaccines cause autism.

00:14:01.160 So it's a little bit of a double negative, tough to read, but basically what they're saying

00:14:05.060 is the claim that vaccines do not cause autism cannot be ruled out.

00:14:11.000 Yeah.

00:14:11.260 And then we've had the, I think we covered it a few months back, just all the vaccines

00:14:16.820 together, they all have their own studies individually, but all together, the entire

00:14:21.560 schedule, there's been no studies basically.

00:14:23.860 And that's probably a real boon for the vaccine industry.

00:14:27.140 They're probably like, yeah, don't study them together.

00:14:28.580 So it's a little late for the CDC.

00:14:31.600 It's been like 40 years of them juicing everyone up with like 80 vaccines each and cooking the 0.98

00:14:35.740 kids.

00:14:36.200 Oops.

00:14:36.980 But hey, that's progress, I guess.

00:14:38.980 But there was a study done on vaccines on monkeys.

00:14:41.880 Can you give that up to part a read?

00:14:44.040 Yeah.

00:14:44.280 Baby monkeys that were given vaccines according to the U.S. vaccination schedule had abnormalities

00:14:49.540 in the region of the brain affecting social and emotional development.

00:14:53.940 Interesting results.

00:14:55.040 Yeah.

00:14:55.260 So there you go.

00:14:56.640 I don't think monkeys can quite have autism, but affecting social and emotional development,

00:15:00.860 that seems like it overlaps with autism.

00:15:03.160 It does seem like that.

00:15:04.560 Also, I've been just reading vaccines.

00:15:06.700 You keep saying vaccines.

00:15:08.120 You want to stop?

00:15:09.940 Yeah.

00:15:10.160 You think we're going to get smoked on the algo like that?

00:15:12.240 You think they're still clinging on?

00:15:13.580 I don't know.

00:15:14.280 I'm just reliving the 2022 days where we have to keep our head down and not get blown up on

00:15:20.260 YouTube, but if the CDC is saying it-

00:15:23.860 You want a lawsuit.

00:15:24.540 I just think there's certain words you say where you say autism and the real word for

00:15:28.780 Maxine's.

00:15:29.500 Yeah.

00:15:29.860 And then the computer algo goes, autism, Maxine conversation.

00:15:34.520 Let's prioritize this video three out of 10 instead of nine out of 10.

00:15:38.320 Okay.

00:15:38.660 So then it's just like, we're not going to put it on your homepage.

00:15:41.140 We're not going to get a notification out to everybody.

00:15:43.300 So I'm just trying to be safe, but you already botched it and ruined the algo for us.

00:15:46.840 I can't do, I can't auto-translate Maxine. 0.99

00:15:49.520 I feel so fucking stupid doing that. 0.99

00:15:51.020 Everyone knows what Maxine is. 1.00

00:15:52.620 I know, but it's so lame.

00:15:54.160 All right.

00:15:54.960 Let's move on.

00:15:56.000 We're still in that section.

00:15:57.180 There's obviously lots of adverse reactions when it comes to the Maxines, especially young

00:16:02.120 people having inflamed hearts and myocarditis and heart problems.

00:16:05.880 This next girl is an example of that.

00:16:08.500 This morning, I woke up with what got like a heart attack.

00:16:11.320 Um, so we quickly went to a hospital that was seven minutes away from our Airbnb.

00:16:17.980 After three, eight EKGs, um, I was showing signs of possible heart attack.

00:16:24.200 Um, so I was quickly transported to another hospital.

00:16:27.520 They put this like wire thing.

00:16:30.000 I think it's called a catheter, um, in through my wrist all the way into my heart.

00:16:35.380 Um, and the results showed no heart attack, um, but that I do have inflammation in my heart.

00:16:42.240 Um, so they're keeping me overnight.

00:16:44.700 I have some chest pain right now.

00:16:48.320 I'm on a lot of morphine, but it is what it is.

00:16:52.280 I'm hoping that they figure out what's, what's wrong with me.

00:16:55.440 And then I believe on her social media posts, she said that the doctor told her it was related

00:17:00.640 to the Maxine she got.

00:17:01.880 Okay.

00:17:02.280 Interesting.

00:17:02.720 So heart inflammation.

00:17:04.220 And then, um, her saying at the end there, it is what it is, is actually the same stance

00:17:08.920 as big pharma.

00:17:10.240 They just go, it is what it is.

00:17:12.220 If you post this, we're going to delete it off social media.

00:17:14.520 Yeah, it is what it is.

00:17:16.200 Just be a little more positive about it.

00:17:17.940 And we actually have a graph here.

00:17:19.720 Um, this is about a graph of people who are applying and qualifying to be disabled.

00:17:25.120 Uh, can you read the tweet and then we'll show the graph.

00:17:27.680 Yeah.

00:17:27.860 See how the disability graph climbs after the vaccines roll out and continues to climb.

00:17:32.500 This is not the COVID virus.

00:17:33.840 This is from the COVID vaccine and they're never going to acknowledge it.

00:17:37.020 Are they?

00:17:37.580 And as you can see around 2021, it starts with a straight line up.

00:17:42.920 Straight line up from 2020 to 2021, when obviously the vaccines were rolled out and I looked

00:17:48.420 it up some stats globally, 50 million excess deaths and 1.9 billion adverse reactions allegedly.

00:17:56.760 Okay.

00:17:57.740 All right.

00:17:58.380 Let's move on to our migrant section.

00:18:00.080 This is the most important section of the show.

00:18:02.440 Would you agree?

00:18:03.100 Definitely.

00:18:03.640 We're packed with some good migrant stuff and some crazy updates. 0.66

00:18:07.120 First, we're going to start with the New York Magazine headline.

00:18:09.840 IQ scores are dropping for the first time in almost a century.

00:18:14.100 Here's what's driving the decline and how modern life may be reshaping our minds.

00:18:18.520 So the article pretends it's because we're all on our phone too much, which is kind of true because

00:18:23.360 everyone was on their phone and distracted.

00:18:25.540 And then that made them not realize there's 70 million illegals here.

00:18:28.740 True.

00:18:29.320 You're kind of just like on TikTok doing brain rot.

00:18:31.620 I think short form swipe up scrolling content also is nuking people to be fair.

00:18:36.880 And then you have headphones and you don't look around and see all the migrants. 1.00

00:18:39.520 Yeah.

00:18:40.120 It's a lot of related to noticing migrants.

00:18:43.880 But I looked at this article and I did Control-F, immigrant, immigration, demographics, and none 0.59

00:18:51.640 of those words came up.

00:18:53.160 Yeah. 0.98

00:18:53.540 So America's getting retarded. 1.00

00:18:55.740 There's 70 to 80 million people here, mostly brown, mostly third world. 0.92

00:19:00.380 And the article just ignores that.

00:19:03.060 Exactly.

00:19:03.780 So illegal and legal immigration is why IQ is dropping. 1.00

00:19:07.100 Obviously, show watchers know this.

00:19:09.760 And then why wouldn't it be that case when you look at stats like this, 70% of H-1B visas come

00:19:16.200 from a country with a 76 IQ.

00:19:18.580 Yeah.

00:19:18.820 And that's legal immigration.

00:19:19.980 People coming here to do jobs and work, not counting the Somalis in Minnesota, not counting 1.00

00:19:26.260 the Haitians in Springfield, Ohio.

00:19:28.920 Those are the people who come here and get a job.

00:19:30.740 They have 76 IQ.

00:19:31.640 And to be fair, you got to assume the H-1Bs who get here are above the average of India 0.99

00:19:36.500 because they have, what, 1.5 billion people.

00:19:40.280 But it's where they come from.

00:19:41.220 Yeah.

00:19:41.700 It is where they come from.

00:19:42.720 No argument for me.

00:19:43.740 No argument for me.

00:19:44.560 Yep. 1.00

00:19:45.300 But as we know, the white people need to be replaced at all costs. 1.00

00:19:49.880 And the media covers for the immigrants and illegal immigrants, like this next story. 0.94

00:19:54.220 Can you read the original headline?

00:19:55.720 Yeah.

00:19:56.120 Sanford grandfather, born in refugee camp, nabbed by ice after 70 years in U.S., the Orlando

00:20:03.000 Sentinel.

00:20:04.260 70 years.

00:20:05.380 That's crazy. 0.99

00:20:05.820 That's fucked up. 1.00

00:20:07.340 That is really fucked up. 0.99

00:20:08.300 Well, let's look into a little more of the details. 0.99

00:20:10.400 Not mentioned in the headline, but 32 paragraphs into the story, we find out that this Sanford

00:20:16.660 grandfather nabbed by ice is a convicted rapist. 0.86

00:20:20.880 Oops. 1.00

00:20:21.240 Oopsie.

00:20:22.600 32 paragraphs deep.

00:20:23.980 You have to try to do that.

00:20:25.420 Who would ever read 32 paragraphs of this story?

00:20:28.340 That's the equivalent.

00:20:29.600 That's what I'm saying.

00:20:30.920 You see the headline and go, oh, man, ice.

00:20:32.980 It's a struggle session to get to 32 paragraphs.

00:20:35.040 And that's the equivalent of saying, and he got convicted of rape on a podcast.

00:20:38.880 And he got convicted of rape.

00:20:40.060 Yeah.

00:20:40.380 It's like the fast talking things at the end of the pharmaceutical commercial. 1.00

00:20:44.000 And then you might fucking kill yourself. 1.00

00:20:44.940 Yeah. 1.00

00:20:45.700 Literally.

00:20:46.420 So that's what our media is up to while writing the sub story.

00:20:49.860 And then if you called them out, they go, we mentioned it.

00:20:53.180 Exactly.

00:20:53.820 What are you talking about?

00:20:54.560 And you know how there are so many crimes in the late 60s and early 70s that are kind

00:21:00.580 of like being solved by genetic genealogy or like an untested rape kit or

00:21:04.920 something, they just don't go, oh, oh, well, that was 40 years ago.

00:21:08.940 Get out of here, buddy. 1.00

00:21:10.100 They try you for fucking murder. 1.00

00:21:12.200 Yeah. 1.00

00:21:12.560 And so, yeah, get deported.

00:21:14.040 I don't care.

00:21:15.080 So true.

00:21:16.160 So the media covers for the criminal illegals, like we said, and then our institutions

00:21:19.800 cover for them as well.

00:21:21.460 We've been talking about this for a while, but we have some new stats that come out.

00:21:25.260 A lot of times the illegal Hispanics are being categorized as white when they get booked.

00:21:32.520 Yeah.

00:21:32.680 And this is from the Twitter account Uncorrelated, who I believe is mostly like stat minded, some

00:21:38.200 unknown person, obviously.

00:21:39.680 But they took a look at these viral posts.

00:21:43.140 And as we always say, anecdotal data comes first.

00:21:47.140 Stories.

00:21:47.980 How's the grocery store looking?

00:21:49.140 Are there a lot of Hispanics there?

00:21:50.320 Are there a lot of Indians in Dallas, Texas?

00:21:52.960 Anecdotal comes first, and sometimes you get the data later.

00:21:55.900 But their original post said, white by default.

00:21:58.360 The viral posts were right.

00:22:00.060 We scraped 5.5 million criminal records and 1.5 million mugshots from 39 states.

00:22:05.820 29% of Hispanics are being misclassified as white in official Department of Correction

00:22:12.260 databases, even when Hispanic is explicitly classified.

00:22:16.820 29%.

00:22:17.340 That's a lot.

00:22:18.520 Yeah.

00:22:18.800 And that is a large sample size again, 5.5 million criminal records and 1.5 million mugshots.

00:22:24.320 And so basically, overall, the Hispanic crime rate is conservatively being underestimated by

00:22:30.140 20 and possibly 30%.

00:22:32.380 You've all seen the anecdotal pictures that we've shown you.

00:22:38.180 Patricio.

00:22:38.800 Daniel Garcia Patricio.

00:22:41.540 He's a white guy.

00:22:43.760 Wilbur Alexander Hernandez Gomez.

00:22:46.360 The hyphenated last name.

00:22:47.900 How are you allowed to put them as white? 0.63

00:22:49.160 Every single name is Hispanic.

00:22:51.100 Yeah.

00:22:51.560 Yeah.

00:22:52.500 White. 0.81

00:22:53.480 Yeah.

00:22:53.660 And then, so there was, they basically said, we trained a multinomial logistic regression

00:23:00.520 on 18 features.

00:23:02.760 And it did deep face racial probabilities for mugshots, census name demographics, first and

00:23:08.080 last name racial statistics.

00:23:09.220 And it was 92.7% accurate, distinguishing.

00:23:13.380 Because when you're looking at all this data, you have to kind of like trust your model.

00:23:16.940 Um, and basically white and black were pretty much always right. 0.99

00:23:25.480 And Hispanic is the one floating X group. 1.00

00:23:28.320 Yeah.

00:23:28.420 There's no white people that accidentally get classified as Hispanic.

00:23:32.080 Yeah. 0.73

00:23:32.300 Or black. 0.98

00:23:33.260 It's like the same with the election.

00:23:34.620 Oh yeah.

00:23:35.200 There's some election discrepancies and they all went for the Democrats.

00:23:38.740 It's the same thing.

00:23:39.400 It all goes against white people. 0.66

00:23:40.800 Yeah.

00:23:41.540 And so, I mean, it's just interesting to see someone do a statistical analysis of this,

00:23:45.640 which confirms the anecdotal evidence that right-wingers, people on Twitter, uh, have

00:23:50.360 been posting for a long time.

00:23:51.720 So, and that's why I say like, this probably took a long time.

00:23:55.860 Somebody had to do this.

00:23:57.180 We have to figure out how to scrape all these databases.

00:23:59.540 Oh, this, this precinct or this state doesn't have a database.

00:24:02.460 I have to work around that.

00:24:03.860 So the anecdotal evidence actually does lead the data sometimes.

00:24:08.280 Very true.

00:24:08.980 And that's a big tenant of our show.

00:24:09.960 Read a book by its cover.

00:24:12.140 Anecdotal evidence is, is, uh, important, right?

00:24:15.140 Anecdotal evidence is, it's real.

00:24:16.820 You're seeing it.

00:24:17.600 Yeah.

00:24:18.000 They go, oh, ignore that.

00:24:19.160 Ignore what you're seeing with your eyes.

00:24:20.920 All right.

00:24:21.520 Let's move on to some Somalis. 1.00

00:24:23.140 Yeah.

00:24:23.840 All right.

00:24:24.380 We obviously have a ton of Somalis here and when we bring them here, they scam our systems 1.00

00:24:28.260 and our social safety nets.

00:24:29.920 We've covered that many times, but it's actually getting worse.

00:24:33.520 They're now scamming our social safety nets and taking taxpayer funded money to support

00:24:39.960 fund terrorism.

00:24:40.880 Yeah.

00:24:41.420 We've basically covered a lot of the scams in Minnesota, the feeding our future scams.

00:24:47.280 There's an HSS, uh, scam for stabilized housing and the autism scam where all the Somalis, uh, 1.00

00:24:54.520 start running autism centers, sign their kids up.

00:24:56.640 And this was a piece done by, uh, Chris Rufo and RK Thorpe.

00:25:02.160 They basically, uh, we all know about the scams, but now the new reporting is on what

00:25:07.820 happened to the money because these scams ran in the hundreds of millions for, uh, feeding

00:25:13.020 our future was 250 mil, the autism center we're going to get into, but they said exclusive.

00:25:18.400 We have now, uh, new reporting on America's Somali fraud rings, which have stolen billions 1.00

00:25:23.560 in taxpayer funds and sent some to Islamic terrorists back home. 0.80

00:25:27.720 Quote, the largest funder of Al-Shabaab is the Minnesota taxpayer.

00:25:33.460 Um, so yeah, you guys all know about the fraud.

00:25:36.960 In many cases, the fraud has allegedly been perpetrated by members, members of Minnesota's

00:25:41.980 sizable Somali community.

00:25:43.240 Federal counter-terrorism sources confirmed that millions of dollars in stolen funds have

00:25:47.800 been sent back to Somalia where they ultimately landed in the hands of the terror group Al-Shabaab.

00:25:53.240 As one confidential source put it, the largest funder of Al-Shabaab is the Minnesota taxpayer.

00:25:58.860 Um, and so one that we haven't really covered is this HHS one or HSS one, Minnesota's Medicaid

00:26:06.960 housing stabilization services program.

00:26:09.900 So I want to read just a piece of that.

00:26:11.620 Um, it was the first of its kind in the country and the Somalis go, yeah, yeah, yeah. 1.00

00:26:17.560 The first of its kind.

00:26:18.720 Send to me.

00:26:19.620 Um, in the country was launched with a noble goal to help seniors, addicts, the disabled 1.00

00:26:24.460 and the mentally ill secure housing.

00:26:26.340 It was designed with low barriers to entry.

00:26:29.020 Perfect for a Somali and minimal requirements for reimbursement.

00:26:33.400 Nonetheless, before the program went live in 2020, officials pegged its annual estimated

00:26:38.240 price tag at 2.6 million.

00:26:40.040 A big important part of this is the numbers.

00:26:43.060 So 2.6 million.

00:26:44.300 They go, what could it cost?

00:26:45.640 2.6?

00:26:46.540 Not a lot.

00:26:47.580 Uh, costs quickly spiraled out of control.

00:26:49.820 In 2021, the program paid out more than 21 million in claims.

00:26:53.480 In the following years, annual costs shot up to 42 million, then 74 million, then 104

00:26:59.900 million.

00:27:00.800 And during the first six months of 2025, uh, payouts totaled 61 million.

00:27:04.600 So on pace 2025 to be 120 million.

00:27:07.660 So a parabola, right?

00:27:09.360 Straight line of free money.

00:27:11.400 Mm-hmm.

00:27:11.840 And the Somalis love taking advantage. 1.00

00:27:14.480 Um, let's see what else.

00:27:16.980 Yeah.

00:27:17.280 So we've covered this kind of piece by piece because this article weaves in all the pieces

00:27:22.700 we've covered, like remittances make up 40% of Somalia's GDP.

00:27:27.060 Now we covered that a week ago.

00:27:29.460 Um, but yeah, in 2023 alone, the Somali diaspora sent back 1.7 billion more than the Somali

00:27:36.220 government's budget for that year.

00:27:38.260 Uh, our investigation reveals for the first time that some of this money has been directed

00:27:41.920 to an even more troubling destination.

00:27:43.440 The Al Qaeda linked Islamic terror group Al-Shabaab.

00:27:47.180 According to multiple law enforcement, uh, sources, Minnesota's Somali community has sent

00:27:52.160 untold millions through a network of Hawala's informal clan based money traders that have

00:27:58.200 wound up in the coffers of Al-Shabaab.

00:28:01.240 Um.

00:28:01.800 That's not good.

00:28:02.740 Yeah.

00:28:03.140 Yeah.

00:28:03.560 So, I mean, literally funding terrorism, uh, there's a couple mother quotes here, 20 million

00:28:09.560 abroad in a single year, the amount of monitoring was staggering.

00:28:13.440 These are the people in the, in the quotes.

00:28:15.600 I think Tim Walz does this on purpose.

00:28:17.980 Well, um.

00:28:19.020 I think they know it's going to happen.

00:28:20.660 Well, there's.

00:28:21.180 They look the other way and then it's part of the plan to get the money to the terrorist

00:28:24.880 group who does a terrorist attack on us and so they can call us Islamophobic.

00:28:28.420 Well, it's interesting because if you ever look at the list of like least corrupt nations

00:28:33.740 or most peaceful nations, uh, there are almost all of the Scandinavian countries are

00:28:39.360 immediately in it and that's the original stock of Minnesota, high trust, low, uh, scam

00:28:45.780 percentage.

00:28:46.800 So they're probably like, oh, our immigrants are great in Minnesota.

00:28:49.520 Exactly.

00:28:50.200 And it's quite the opposite.

00:28:51.220 And this new class of, you know, the last five years is really taking advantage of that

00:28:56.660 attack, uh, of that like generosity or turning away or whatever.

00:29:00.560 Every scrap of economic activity in the twin cities in America, throughout Western Europe,

00:29:05.420 anywhere Somalis are concentrated.

00:29:06.880 Every cent that is sent back to Somalia benefits Al-Shabaab in some way.

00:29:11.300 The former official says for every dollar that is transferred from the twin cities back

00:29:15.360 to Somalia, Al-Shabaab is taking a cut of it.

00:29:18.960 Free money for Al-Shabaab. 0.91

00:29:20.200 You got to respect it.

00:29:21.240 Yeah.

00:29:21.940 Um, and yeah, I'm not going to continue reading anything else, but it's just, uh, read the article

00:29:28.340 if you guys want to, a lot of points that we've already made up, but then kind of this,

00:29:32.700 just tying it directly to terrorism is so crazy.

00:29:35.760 And we're going to get to, we've had like the ice, uh, roll into cities.

00:29:42.620 Um, Charlotte, we're going to cover in a little bit.

00:29:44.960 They rolled into Chicago.

00:29:46.240 They're doing their operations everywhere.

00:29:47.840 And it seems like we're kind of going city by city.

00:29:50.540 LAX was an early one.

00:29:52.340 Somalia has to be coming up soon.

00:29:54.340 Please guys.

00:29:55.060 These are some of the worst offenders. 0.91

00:29:56.880 Some of the worst people, um, Minnesota had, we don't need Somali for anything. 1.00

00:30:01.900 Minnesota had the highest number of people who attempted to join ISIS.

00:30:06.620 Minnesota land of lakes, land of 10,000 lakes.

00:30:09.920 You catch a Northern pike. 1.00

00:30:11.120 You join ISIS. 0.92

00:30:12.120 Yeah. 1.00

00:30:12.560 Just fucking average day in Tim Walts is America. 0.99

00:30:15.800 So, I mean, I don't know. 0.99

00:30:17.560 It's, it's horrible.

00:30:19.160 And we knew the money was flowing that way.

00:30:21.760 And then we knew the American taxpayer was getting scammed, but the American taxpayer

00:30:25.540 are literally funding Islamic terror now.

00:30:28.360 I thought we were done with that after 2001.

00:30:30.960 Very bad.

00:30:32.060 All right.

00:30:32.360 Well, let's move on to our Charlotte section.

00:30:34.060 That's the big story of the week.

00:30:35.920 They had a major ice crackdown.

00:30:37.660 And because of that, 21,000 students didn't show up to school, which is 15% of the total

00:30:43.840 enrollment.

00:30:44.560 Can you give that tweet a read?

00:30:45.920 21,000 students were absent today in Charlotte public schools, likely due to the new ice operations.

00:30:50.640 That's 15% of total enrollment.

00:30:53.200 This is why class sizes are too big.

00:30:55.380 Resources are stretched thin and translators are needed.

00:30:59.340 Yes.

00:30:59.840 And we've been saying for a long time that 50 million illegals are here and we're kind 0.57

00:31:03.460 of like exaggerating, but proving the point that the number is higher than we think.

00:31:07.180 I think we have to up that to 70 to 80 million because I think 50 million are here minimum.

00:31:12.860 Yeah.

00:31:13.300 So, and we're learning when you have like a random city like Charlotte and 15% of the student

00:31:17.300 population is the children of illegals.

00:31:20.000 Not good.

00:31:20.980 Yeah. 0.73

00:31:21.180 It's like, you ever see videos of some shitty apartment in New York where they flip on the 0.96

00:31:26.180 lights really quick and then you see all the rats. 0.98

00:31:28.340 Yeah.

00:31:28.700 That's the equivalent of sending ice to Charlotte. 0.99

00:31:31.080 You go 15% of the fucking whole student body is gone. 0.99

00:31:33.920 Mm-hmm. 0.99

00:31:34.360 So how many parents are out here illegal and how many of you are anchor babies?

00:31:39.540 Very true.

00:31:40.040 Which in my mind is illegal.

00:31:41.800 Yeah.

00:31:42.220 Anchor babies. 0.91

00:31:42.880 You know, we're still looking to contest that at the Supreme Court level, but it's flipping

00:31:46.560 the lights out and going, all right, who's here?

00:31:49.380 Oilfield Rando had a tweet.

00:31:50.640 When I was a kid, my small town, my small hometown in North Carolina was like 80% white, 20% black.

00:31:57.180 Today it is 55% Hispanic, 32% foreign born.

00:32:02.660 Total replacement by immigration.

00:32:04.460 It's gone.

00:32:05.540 Both parties did this.

00:32:06.980 Very true.

00:32:07.580 And then Andrew Colva had a very interesting tweet about the translators needed in these

00:32:11.380 schools.

00:32:12.220 Got a note from a parent in North Carolina, some private information here.

00:32:16.740 My son goes to public school here in North Carolina.

00:32:18.860 His teacher is hardcore MAGA, which is why we sent him.

00:32:22.400 Ha ha.

00:32:23.100 She invited me into the school one day to show me how all the teachers use translators

00:32:27.820 on their phones because so many of the kids don't speak English.

00:32:31.560 Two kids in my son's class don't speak English.

00:32:34.260 My son's class.

00:32:35.880 It's so much worse than people can possibly imagine.

00:32:38.200 So I wonder if the teacher using a translator to say everything twice to the kids who don't

00:32:43.460 speak English in class, I wonder if that makes it harder to learn.

00:32:47.080 Does that slow anything down?

00:32:48.380 Yeah.

00:32:49.260 I wonder.

00:32:49.960 I wonder.

00:32:50.480 Speaking of slowing things down, traffic has gotten a lot better.

00:32:53.740 Here's the usual traffic pattern in Charlotte versus what it is now.

00:32:57.660 It's got the typical highway ring around the city and it's, you know, gridlocked. 0.92

00:33:03.120 But as soon as ice comes up, nobody has fucking random errands to run. 0.99

00:33:07.400 Nobody going to Home Depot in the shitty pickup truck, right? 0.99

00:33:11.600 Have a Modelo while driving to Home Depot. 0.99

00:33:13.380 So this is another flash on the lights and the rat scurry moment.

00:33:17.480 And that's what I want to see for Somalis in Minnesota.

00:33:20.900 Yes.

00:33:21.380 And I kind of have a little list here.

00:33:22.980 Like without illegals, we would have less taxes, better education, more resources, more 1.00

00:33:28.040 jobs, cheaper health care, less traffic, cheaper housing, less violent crimes.

00:33:33.500 But with illegals, we get to babysit people from third world countries like Haiti and Somalia. 1.00

00:33:39.980 Yeah.

00:33:40.400 And then you, the affluent white couple whose salary hasn't matched up with inflation are

00:33:46.320 like, should we have a kid?

00:33:47.860 Meanwhile, they're popping out kids on Medicaid. 0.98

00:33:49.960 And we're the suckers paying for everything. 0.88

00:33:52.360 Yeah.

00:33:52.560 And we have some stats of what exactly we're paying for here based on who pays federal income

00:33:56.840 tax.

00:33:57.420 Yeah.

00:33:57.700 What percentage of the population pays the percentage of federal income taxes?

00:34:02.520 White, 59% pay 70 to 75%. 0.82

00:34:06.820 Hispanic, 19% of the population pays 10 to 12%.

00:34:11.300 Black, 13% of the population pays 6 to 8%.

00:34:14.800 Asian, 6% pays 8 to 10%. 0.67

00:34:18.740 And then other, who cares?

00:34:20.760 So we are paying for everything. 0.99

00:34:22.860 So black and Hispanic don't pay enough to match their population. 0.99

00:34:26.480 We pay the most. 0.94

00:34:27.460 And then Asian, they're a small part, but they overpay too. 1.00

00:34:30.060 Shout out to Asians.

00:34:31.000 Thank you, Asians.

00:34:32.380 All right.

00:34:32.720 So that's what we're dealing with.

00:34:34.120 We're paying for all of this.

00:34:35.700 We're subsidizing this like sinking ship.

00:34:38.340 And you know, there's like the Republican trope that the Democrats always use where they

00:34:41.440 say Republicans are xenophobic and they blame immigrants for all their

00:34:44.580 problems.

00:34:45.340 Yes.

00:34:46.000 It turns out that was true.

00:34:47.380 Yeah.

00:34:47.720 I really don't think they can argue with us anymore.

00:34:50.240 It turns out we were right.

00:34:51.220 And pretty much all of our problems are from the hundred and something million people that 1.00

00:34:55.140 are either here legally or illegally.

00:34:57.600 Yeah.

00:34:58.240 So it turns out we were right.

00:34:59.640 And these visible changes, like the school, the student body disappears, um, traffic's down,

00:35:06.980 all these stuff, it should be encouragement to continue the operation.

00:35:10.680 We really, there's no way of knowing.

00:35:14.460 I could not get sued.

00:35:15.800 I could say there's a hundred million illegals here, swear on an affidavit and no one can 1.00

00:35:20.940 prove me wrong.

00:35:21.900 You know?

00:35:22.280 Yeah.

00:35:22.760 No one knows what's actually here.

00:35:25.200 Take it to discovery.

00:35:26.280 Yeah.

00:35:26.480 Let's, let's go to discovery.

00:35:28.080 You're going to need to do a sentence.

00:35:29.080 But there's not even documents.

00:35:30.240 That's the point.

00:35:31.260 Undocumented people.

00:35:32.280 There's not even proof of who's here.

00:35:34.300 And all you can see is the second order effects of an ice raid or federal presence in a city,

00:35:41.120 right?

00:35:41.460 Very true.

00:35:42.140 And that's North Carolina.

00:35:43.760 That's a nice place.

00:35:45.220 That went swung red for Trump, right?

00:35:47.360 North Carolina.

00:35:48.420 North Carolina.

00:35:49.500 That certain Raleigh-Durham accent.

00:35:51.380 Middle of the country.

00:35:52.580 Winston-Salem.

00:35:53.440 Smells like tobacco when you walk around.

00:35:55.140 Tobacco Road.

00:35:55.660 All the colleges.

00:35:56.580 Duke, right?

00:35:57.240 Is Duke in North Carolina?

00:35:57.880 Duke.

00:35:58.240 Duke is in North Carolina.

00:35:59.920 Come on.

00:36:00.500 North Carolina.

00:36:01.640 Horrible.

00:36:01.920 Michael Jordan went there.

00:36:02.720 All right, speaking of colleges, St. Francis College.

00:36:06.980 That's a good transition.

00:36:08.440 I'm always like, that's how I judge.

00:36:10.220 But you didn't know I was going to say Duke.

00:36:11.940 I didn't.

00:36:12.700 I know.

00:36:13.200 But I saw the opportunity.

00:36:14.680 Okay.

00:36:15.120 And I jumped on it.

00:36:16.160 You're a smart guy.

00:36:16.920 And that's how I judge a good episode, is how smoothly I can move everything into the

00:36:20.800 next thing.

00:36:21.280 You're a smart guy. 0.96

00:36:21.760 Hairline's a little fucked, but you're a real smart guy. 0.99

00:36:24.640 No, it's not. 0.99

00:36:25.800 You said it was fine.

00:36:27.220 I'm a normal guy.

00:36:27.780 All right, St. Francis College.

00:36:30.240 They posted a video online of their graduating class.

00:36:33.700 Seems nice.

00:36:34.720 Take a look.

00:36:35.840 From across the globe.

00:36:37.440 We'll play it on mute, just because.

00:36:38.940 Everyone's brown and Indian and wearing a turban or a hijab.

00:36:43.380 Yeah.

00:36:43.840 They post this like, oh, we're proud of our graduates and this is great. 1.00

00:36:48.160 And they accidentally expose how many fucking Indians are here. 0.99

00:36:50.760 Yeah, it's supposed to be like a PR video to put on social media. 1.00

00:36:53.520 It turns out everyone's Indian again. 0.99

00:36:55.340 I would never go to this college.

00:36:56.960 If I saw this, I would never apply.

00:36:59.440 I don't see one white person. 0.99

00:37:01.320 Crazy. 0.96

00:37:01.980 I'm really trying to find a, is this some, is this. 0.52

00:37:05.680 I don't know.

00:37:06.300 All you can find is a light Indian. 0.99

00:37:08.120 All you can find is a guy who's a higher caste. 0.99

00:37:10.780 Higher caste Indian.

00:37:11.980 Maybe that girl. 1.00

00:37:12.520 Well, maybe it's time to forget college and just go to trade school and become a plumber.

00:37:16.440 We hear that a lot of times.

00:37:17.880 Yeah.

00:37:18.220 Learn a trade, make six figures.

00:37:20.080 Plumbers are always going to be needed.

00:37:22.100 Well, that's ruined by migrants too. 1.00

00:37:24.080 Because you're going to be competing with illegal plumbers.

00:37:27.120 This is the business in question that has a Metro Detroit couple in hot water with federal

00:37:31.820 investigators.

00:37:32.760 It's not just simply an immigration case that's charged.

00:37:35.760 It's also money laundering.

00:37:37.360 And these are the federal documents investigators say detail the inner workings of the plumbing

00:37:42.160 empire built by Moises Ordunia Rios and his wife Raquel over a five-year period.

00:37:47.260 The Plymouth Township couple own Ordunia Plumbing, manpower supply, and allegedly hired undocumented

00:37:52.320 workers, took their passports, and crammed them into tight living quarters.

00:37:56.480 These photos from the criminal complaint.

00:37:58.500 The federal complaint focuses on Rochester, New York, but Michigan, Ohio, and North Carolina

00:38:03.140 are also mentioned as places the company operates.

00:38:06.180 According to the complaint, out of 253 workers, only six were in the U.S. legally and permitted

00:38:11.860 to work.

00:38:12.520 The complaint claims the husband and wife generated $74 million in their plumbing business that

00:38:17.280 was based out of Michigan.

00:38:18.320 The company headquarters is in Plymouth Township, where we stopped to see if anyone was present

00:38:22.680 who could speak to the allegations.

00:38:24.580 No one was there.

00:38:25.500 The couple, whose address comes back to this $1.5 million mansion in Plymouth Township, were

00:38:30.680 released Tuesday on conditions after appearing in Michigan Eastern District Court.

00:38:36.140 Yeah, so just get a plumbing job. 1.00

00:38:38.480 Go to a trade school and compete with all these illegals who are stacked on top of each other 1.00

00:38:43.640 in bunk beds without any documents working and getting paid way less.

00:38:47.620 Yeah, who's my competition?

00:38:49.440 People who can't leave the country because their passports have been confiscated, living 1.00

00:38:53.400 in squalor, unlicensed.

00:38:56.120 And then the person who owns the business, or Dunia, whatever, he's got a $1.5 million

00:39:02.780 mansion in Michigan, and he's got a Mexican flag hanging.

00:39:07.720 He's got to go, too.

00:39:08.760 That should be a pretty leading indicator of who we need to raid and who our federal government

00:39:13.260 needs to investigate.

00:39:14.300 I'm a business owner.

00:39:15.200 So it's a scam. 1.00

00:39:17.260 You get fucked over applying for colleges. 1.00

00:39:19.800 They'll pick some minority over you. 1.00

00:39:21.420 You go, oh, I'll just be a plumber.

00:39:22.700 I'm competing with the entire world to plumb in rural Michigan and Wayne County.

00:39:28.460 Bad.

00:39:29.380 So I don't know.

00:39:32.200 I just want to say the traffic goes down.

00:39:35.900 15% of the students in our public school system, 250 plumbers are illegal in Michigan.

00:39:41.280 Let's elevate this to threat level midnight for how important immigration is, right? 1.00

00:39:46.460 80 million illegals.

00:39:47.640 It's one thing if you want to say, why should Americans manufacture t-shirts?

00:39:52.660 Vietnam can do it for 10 cents.

00:39:55.100 Send it over.

00:39:55.880 That's one thing.

00:39:57.920 Plumbing?

00:39:58.860 Illegals doing our plumbing? 1.00

00:40:00.300 In middle America.

00:40:01.060 Going into your wife's house, you know, going into your house when you're not home, there's

00:40:06.040 a line.

00:40:06.700 And where is that line?

00:40:08.400 My line's a lot farther than where the GOP puts it.

00:40:11.400 So true.

00:40:12.060 But we got to find some middle ground, right?

00:40:14.860 Very true.

00:40:15.620 And I found a tweet I thought was very interesting.

00:40:18.000 It said, after they made everyone a Roman, no one was willing to die for Rome.

00:40:22.340 Why does that sound so familiar?

00:40:24.060 So true.

00:40:24.760 That's kind of what we're dealing with now.

00:40:26.520 And that's what you said when we were talking about the trans stuff, when you were talking

00:40:30.220 in the last episode about getting blackpilled, when you're like, why would I, America's gone.

00:40:34.380 Why would I fight for this?

00:40:35.720 You know, that energy.

00:40:36.700 I said that first.

00:40:37.580 When you hit a tipping point.

00:40:38.840 He got that from me.

00:40:39.940 Yeah.

00:40:40.180 Well, this is from a few days ago.

00:40:41.480 Maybe, maybe.

00:40:42.260 He got that from me.

00:40:43.160 And Rome got that from me.

00:40:44.680 You don't think about Romans.

00:40:45.940 You don't, you're not like Socrates out there thinking.

00:40:48.420 Too stew.

00:40:49.300 But yeah, point is, there's nothing to fight for once you're this hodgepodge of an economic

00:40:55.400 zone.

00:40:55.740 And that's why they need to ruin it here, ruin your kid's education, ruin your job potential,

00:41:02.000 ruin your health, ruin your, you know, family heritage and caring about your lineage, ruin 0.56

00:41:08.440 your history.

00:41:09.220 And then eventually it's like, all right, what do we have left?

00:41:12.320 Going to Walmart?

00:41:13.520 What am I fighting for?

00:41:14.440 I'm fighting for access to Walmart.

00:41:16.080 And getting, I think I'll pass.

00:41:17.360 Getting Uber Eats.

00:41:18.200 I won't get my legs blown off for that.

00:41:19.900 I don't think. 0.93

00:41:20.980 Especially after you just watched the worst warfare videos of Ukraine of like you in a ditch 0.96

00:41:25.540 and like a drone hovers over, sees you and drops a bomb.

00:41:29.080 I'm not fighting for Walmart.

00:41:30.760 Basically already conquered.

00:41:32.420 All we have left is like Uber Eats can bring you good food kind of fast.

00:41:37.440 Bad food.

00:41:38.380 Bad for you.

00:41:39.160 They poison you there too.

00:41:40.260 So you really don't have anything to enjoy except for pizza.

00:41:44.840 And that's why we're at a pivotal time, right?

00:41:47.320 Yeah.

00:41:47.740 We're not black-pilled, but we do need to act.

00:41:50.700 Yes.

00:41:51.140 And like we said, there is no social cohesion anymore.

00:41:54.300 And this next clip demonstrates exactly that.

00:41:56.980 Your old lady with osteoporosis who would like to have a seat. 1.00

00:42:01.600 Any takers?

00:42:03.120 I'll give you everything in my pocket for a seat.

00:42:06.600 Don't say that.

00:42:07.580 You might have some money.

00:42:08.560 I'll give you money.

00:42:09.540 I'm not asking for money.

00:42:10.960 I'll take it to get up off your seat and let an old woman. 1.00

00:42:15.940 Any Gen X, boogers, nobody. 1.00

00:42:19.580 I got money.

00:42:20.440 I will pay to have a seat.

00:42:22.200 How about millennials?

00:42:23.700 What?

00:42:24.460 Millennials.

00:42:24.980 Millennials.

00:42:26.440 Gen X.

00:42:27.560 Anybody?

00:42:28.680 Attention choppers. 0.94

00:42:29.940 Take the earphones out of your ears.

00:42:32.200 I'm talking.

00:42:33.960 Oh, no.

00:42:35.120 So I guess the whole New York City is a melting pot thing didn't really work

00:42:38.820 because no one is acting like chivalrous white people.

00:42:42.360 Homogenous society with people who look like her. 0.84

00:42:45.300 She'd have a seat in no time.

00:42:46.780 Yeah, exactly. 0.99

00:42:47.760 But now it's just a bunch of brown people with their headphones on who pretty much hate you. 1.00

00:42:52.720 And now you're a stranger in your own city. 0.92

00:42:54.660 But there is good falafel at a place with a C health grade.

00:42:59.120 Thank God.

00:43:00.000 With a C health rating.

00:43:01.480 They wash their hands in this bucket that they reuse in the back.

00:43:04.640 But it's great.

00:43:05.620 The white sauce is to die for.

00:43:07.280 So true.

00:43:08.060 And I feel bad, obviously, for the woman.

00:43:10.220 And show watchers would get up and give an old lady a seat. 1.00

00:43:13.660 I'd get up and give a seat to the girl. 1.00

00:43:16.340 Like, not even the old lady.

00:43:18.040 That's the interesting part, right?

00:43:19.320 Yeah.

00:43:19.880 And just no one has that.

00:43:21.660 And it's the idea that everyone's interchangeable.

00:43:24.960 Oh, everyone's just an immigrant. 1.00

00:43:26.460 We're all just immigrants from a different time.

00:43:28.720 And there's new immigrants now.

00:43:30.340 And we're all the same interchangeable people.

00:43:32.360 But when they get here, they don't act like we act.

00:43:35.040 Yeah, this is an egalitarian society.

00:43:37.560 And I, a cab driver from Lagos, Nigeria, have just as much a right to this seat as you,

00:43:43.400 the osteoporosis elderly woman.

00:43:45.340 And part of it is the feminism. 1.00

00:43:47.160 There's a tweet I thought summed that up.

00:43:49.340 Feminism liberated women from the natural dignity of their sex and turned them into inferior men. 0.96

00:43:55.180 So why should you get a seat if I'm, if we're equal?

00:43:58.860 Yeah, come take it from me.

00:44:00.120 You gotta fight the migrant now. 1.00

00:44:02.020 All right, well, let's finish up our migrant section abroad.

00:44:04.840 We only have two quick stories.

00:44:06.780 The first is a German headline.

00:44:08.840 I don't speak German.

00:44:10.460 I know you guys probably don't either, but you can probably figure out what's going on here.

00:44:14.640 India man plopping Schartenfurtz im Autobus.

00:44:19.340 Der Autobus ist einemstinkerbus.

00:44:23.280 Yeah.

00:44:23.720 Yeah, you got the gist of what's being said.

00:44:27.120 Stinkerbus.

00:44:28.220 Indian men.

00:44:29.340 Indian men. 0.99

00:44:29.980 Indian men caused a stinker bus. 1.00

00:44:31.940 That's what I like to think. 0.99

00:44:33.480 And then with the picture, you see a dump.

00:44:36.600 So I speak multiple languages now.

00:44:39.760 Me too.

00:44:40.100 I know what that, I know exactly what happened.

00:44:42.100 I like German. 0.74

00:44:42.920 Indian man, he did a stinker on the bus. 1.00

00:44:44.380 He made a stinker bus and blew dump. 0.99

00:44:46.680 Yeah. 0.99

00:44:47.040 He blew dump on the bus.

00:44:48.360 It's easy. 0.96

00:44:48.980 Indian man, who could have guessed it? 1.00

00:44:50.480 So that's pretty good.

00:44:52.200 I know.

00:44:52.560 That's our German lesson of the day.

00:44:54.360 Yeah.

00:44:54.720 And then for the channel that we have, that's Flecha Spricht, which is the German channel,

00:44:59.640 we did.

00:45:00.960 They'll go, oh, this is for me.

00:45:02.980 They didn't have to translate this part.

00:45:04.280 All right.

00:45:05.600 And then our last piece of the whole migrant section is a stat out of Canada that's very

00:45:10.720 concerning.

00:45:11.720 In Canada, 95.8% of medical assistance in dying made recipients in 2023 who responded to a voluntary

00:45:19.360 data collection identified as Caucasian, white.

00:45:23.200 This is disproportionately high compared to the percentage of the overall Canadian population,

00:45:27.620 which is approximately 69.8%. 1.00

00:45:29.980 So anyone in Canada who's not enjoying their life anymore because everyone's Indian shit 1.00

00:45:36.860 and farting on the bus. 1.00

00:45:38.140 Yeah. 1.00

00:45:38.720 Indian men shit and farting. 1.00

00:45:40.140 You can just off yourself. 1.00

00:45:42.040 Yep.

00:45:42.440 And that's who's doing it.

00:45:43.440 Isn't that sad?

00:45:44.240 So they're bringing people in to replace you.

00:45:46.760 People don't feel comfortable.

00:45:48.760 They feel like strangers in their own country. 0.99

00:45:50.640 And then they just go, I guess I'll just fucking K-I-L-L myself. 0.99

00:45:55.220 Yeah. 0.92

00:45:55.520 They're adding inflation to the lists of reasons to do assistance.

00:46:00.140 To all the Indians.

00:46:01.140 Yeah.

00:46:01.480 All right.

00:46:02.460 That's the end of our migrant section.

00:46:03.780 Now moving on to our final page of housekeeping.

00:46:05.800 Use the opportunity to tickle the post.

00:46:07.240 Help us juice the algo.

00:46:08.720 Leave a like.

00:46:09.300 Leave a comment.

00:46:10.180 Then comment again.

00:46:10.980 Then start yapping about what you want to yap about.

00:46:14.060 P.O. Box needs to be full.

00:46:15.720 Notifications need to be on.

00:46:16.880 Old episodes need to be watched.

00:46:18.360 And the link to this episode needs to be sent to the boys in the group chat.

00:46:22.740 You know?

00:46:23.560 All right.

00:46:24.120 First, the crazy catch.

00:46:25.800 We've been showing you guys crazy football plays.

00:46:27.940 Cool fake punt a couple weeks ago.

00:46:30.580 We have maybe the best catch I've ever seen.

00:46:37.760 And then everyone falls over themselves.

00:46:40.980 That was sick.

00:46:41.620 Look at the coach's face after he does it right in front of his sideline. 1.00

00:46:44.300 He's just like, fuck this. 1.00

00:46:45.540 Take off the headset. 1.00

00:46:47.160 Take off the headset.

00:46:47.840 That was crazy.

00:46:49.040 Very cool.

00:46:50.420 Next, we have a claw game hack.

00:46:52.420 You guys know the claw game.

00:46:53.780 This is how you win it every time.

00:46:55.760 Do not start on the point.

00:46:57.080 Okay.

00:46:57.700 You start over the hole.

00:46:59.620 And we swing like this in one direction.

00:47:02.260 When it's facing the point, that's when you drop it.

00:47:05.780 Go down, grab it.

00:47:06.720 Oh.

00:47:08.800 Wow.

00:47:09.320 Yeah.

00:47:09.660 It's Indian Scammer. 1.00

00:47:12.280 Yeah.

00:47:12.800 That's not uplifting gold. 0.99

00:47:14.800 He's scamming the claw machine, goddammit. 0.97

00:47:17.300 Yeah. 0.98

00:47:17.800 I can't get away from it.

00:47:19.260 All right.

00:47:19.740 Next, 6174.

00:47:21.900 Everything is about 6174, and this guy proves it.

00:47:25.300 The number I want to talk about is 6174, and it doesn't seem to have anything which is unusual

00:47:31.780 about it, but Capricar showed that if you carry out a procedure, which I'll outline for you,

00:47:38.300 it always comes to this number.

00:47:41.580 Numberphile.

00:47:42.340 The conditions are that it has to have four digits, and these four digits mustn't be the same.

00:47:49.600 So you have to choose maybe three the same and one different, or all different.

00:47:53.500 It doesn't really matter.

00:47:54.460 But you don't choose 1111 or 0, 0, 0, 0, 0.

00:47:57.560 So I asked you to choose one at random, and you said 9, 2, 1, 8 is your starting point.

00:48:04.100 Now, the first thing you do with this is to put that in the order, the largest number first,

00:48:09.540 then the next largest number, then the next largest number, and then the smallest, and

00:48:14.320 then the other way around, 1, 2, 8, 9.

00:48:16.200 I've rearranged these digits in the order, highest to lowest, lowest to highest.

00:48:22.660 And then what you do is take this away from that, and when you do that, you get 2, and

00:48:26.160 then you carry 1, 9, and I get 8532.

00:48:29.300 Now, this is the new number that you put into this machine.

00:48:32.120 You arrange that in order with the highest to lowest, which it turns out to be right

00:48:36.080 straight away, and then the other way around, 2, 3, 5, 8, and you take one away from the

00:48:41.040 other, and there we are, 6174.

00:48:44.020 So you've been really kind to me, because I've only had to go through this iteration

00:48:47.340 twice, and I get to the number.

00:48:49.280 Well, if...

00:48:50.280 It all comes back to 6174.

00:48:53.660 All right.

00:48:54.140 And then I started extrapolating myself.

00:48:56.440 Okay.

00:48:57.260 6 is F.

00:48:59.120 1 is A.

00:49:00.740 7 is G.

00:49:03.040 Maybe we don't go...

00:49:04.020 Stop right there.

00:49:05.420 I don't want to get in trouble.

00:49:06.760 Stop right there.

00:49:07.660 But that's interesting.

00:49:08.800 6174.

00:49:09.320 I wonder what it all means.

00:49:10.580 Yeah.

00:49:12.260 6174.

00:49:12.700 You know, like, pi, 3.14, 1.6, 1.5, yeah.

00:49:18.240 Whatever.

00:49:19.340 There are some numbers.

00:49:20.600 There are some number importance.

00:49:21.820 I don't know if this is really important, though.

00:49:24.120 He's just kind of like, start subtracting and rearranging them.

00:49:26.740 I don't...

00:49:27.920 So what?

00:49:28.760 What does it give me?

00:49:30.020 Pi gives a perfect circle, you know?

00:49:32.760 What's this guy up to?

00:49:34.280 He wants to draw...

00:49:35.280 He wants to do math in a Sharpie.

00:49:36.920 What about the...

00:49:38.700 Yeah.

00:49:40.000 What's that?

00:49:40.780 I don't know.

00:49:41.280 Where it goes...

00:49:42.280 Spiral.

00:49:42.660 Parabola.

00:49:43.380 Something.

00:49:43.760 No, the...

00:49:45.020 Not Hammurabi.

00:49:46.240 Fibonacci.

00:49:46.820 I'll say Hammurabi's code.

00:49:48.460 Yeah.

00:49:49.740 Hammurabi's code, an eye for an eye.

00:49:52.680 Fibonacci.

00:49:53.240 Don't touch me.

00:49:56.600 All right.

00:49:57.440 Next, our final clip before I have a little update at the end.

00:50:01.080 But our final clip is that schizo we've showed before, and he has some new advice. 0.99

00:50:05.760 I would never clean my dishes.

00:50:07.340 I don't clean my pan.

00:50:08.780 That's three weeks of grease, fat, meat.

00:50:11.780 There's raw meat on that knife.

00:50:13.380 I don't clean that.

00:50:14.100 I don't clean that.

00:50:14.700 I don't clean any of this.

00:50:15.800 You know what?

00:50:16.140 Because cleaning dishes and doing dishes is a media and company-induced paranoia made by companies like Don, down to the people that pay the people to come in and install dishwashers and such into your house.

00:50:26.820 The scouring pads, all that, it's all fake, unnecessary, completely paranoid, schizophrenic, delusional options that they have people choosing from out.

00:50:36.900 And he's got the, what's it called?

00:50:39.740 Particle board cabinets behind them, you know?

00:50:43.360 I don't think this is a high-end kitchen.

00:50:45.040 He's living in a shed.

00:50:46.200 Yeah, he's living in a shed outside his parents' house or something, maybe.

00:50:49.980 But it is good news for some of us out there who aren't cleaning their dishes.

00:50:53.860 Yeah.

00:50:54.500 Whoever that might be.

00:50:55.420 Something to be learned.

00:50:56.520 All right, our final piece of housekeeping before we move on to cringe.

00:50:59.580 We mentioned last episode the tall ones in Kansas.

00:51:03.100 Yeah, yeah, yeah.

00:51:03.680 What about them?

00:51:04.160 Those tall beings that are like aliens.

00:51:07.020 Cryptids?

00:51:07.520 They're cryptids, tall, aliens.

00:51:10.160 Salt gun.

00:51:11.800 That works on them?

00:51:12.600 They don't like salt.

00:51:14.300 So you can get a salt gun and that would really affect them negatively.

00:51:17.660 Or you can even put a salt ring around your house or a salt thing at your front door and they won't come.

00:51:24.720 They don't like salt.

00:51:25.960 Swing away, Meryl, with salt this time. 0.99

00:51:29.300 So salt, that's the thing.

00:51:31.620 They have little things like salt guns where you can shoot like a fly with it, the bugs.

00:51:35.120 Yeah, yeah.

00:51:35.880 Assault weapon.

00:51:37.120 Get a salt gun and you just have it and you never need to use it. 1.00

00:51:42.300 And then if a tall one shows up, shoot him. 0.99

00:51:45.540 And if we're right, you'll be okay. 1.00

00:51:47.720 And if we're wrong, you're fucked. 1.00

00:51:49.220 But you were fucked anyway. 1.00

00:51:50.360 Okay. 1.00

00:51:50.840 All right.

00:51:51.120 I think it's a real gun, actually.

00:51:52.360 You got the information out.

00:51:53.500 Yeah, I think a real gun would work against him, too.

00:51:55.280 Yeah.

00:51:56.120 But assault, putting a ring of salt around your house, you never have to deal with tall ones again.

00:51:59.980 Okay.

00:52:00.220 Thank you.

00:52:01.240 You always go a little too far and a little too long.

00:52:04.340 All right.

00:52:04.680 Well, that's the end of housekeeping.

00:52:05.860 We're now moving on to Cringe of the Week.

00:52:09.500 All right.

00:52:11.360 Our first story in Cringe.

00:52:12.880 We have a little bit of a dating section.

00:52:15.340 There's been a lot of talk about dating lately.

00:52:17.840 People are saying young men and young women don't want to get married.

00:52:20.700 No one's dating each other.

00:52:21.940 What's going on?

00:52:23.100 The political divergences, which we've covered.

00:52:25.580 Women going more left, men going more right. 0.97

00:52:28.180 Very true.

00:52:29.380 And then Bill Ackman, he came out and gave some advice to young men.

00:52:33.120 Can you read the important parts of that tweet?

00:52:35.220 I hear from many young men that they find it difficult to meet young women in a public setting.

00:52:39.020 In other words, the online culture has destroyed the ability to spontaneously meet strangers.

00:52:44.040 As such, I thought I would share a few words that I used in my youth to meet someone that I found compelling.

00:52:50.140 I would ask, may I meet you?

00:52:52.280 Before engaging further in a conversation.

00:52:54.740 I almost never got a no.

00:52:56.940 And it always works.

00:52:58.460 Girls always said yes every time. 1.00

00:53:00.160 He's also worth $9.2 billion.

00:53:02.560 Yeah.

00:53:02.900 He was like a 30-year-old with a net worth of $10 or $15 million.

00:53:06.260 Yeah.

00:53:07.080 Crawling his way up.

00:53:08.560 But yeah, it always worked.

00:53:09.940 We have a meme here.

00:53:11.200 Bill Ackman, $10 billion net worth.

00:53:12.920 Just go over there and ask her out. 1.00

00:53:14.600 You only need confidence.

00:53:15.980 Yeah.

00:53:16.260 And everyone else going, are you sure?

00:53:18.540 Yeah.

00:53:19.040 And we have another meme of the same thing, the same gist.

00:53:21.960 Hello, may I meet you?

00:53:23.620 Oh, you're sweet.

00:53:24.640 Versus hello, may I meet you?

00:53:26.040 Hello, human resources.

00:53:27.760 And that guy looks a little too much like me to make me happy.

00:53:31.640 Especially the midsection.

00:53:33.040 Well, let's get back to your hair, Ryan.

00:53:36.500 No, but I mean, that's what it is.

00:53:38.280 May I meet you?

00:53:39.100 6'4", chiseled jaw.

00:53:41.520 Yeah, sure.

00:53:42.060 Washboard abs.

00:53:43.240 You don't even have, any line was going to work.

00:53:45.700 You could fumble over your words.

00:53:46.880 You go, uh, uh, hi.

00:53:48.180 And she'd still go, hey.

00:53:51.140 Pretty good.

00:53:51.800 Yeah, so what's your point here? 1.00

00:53:54.300 Just stupid advice. 1.00

00:53:55.160 May I meet you is a very bad line. 1.00

00:53:57.040 And it's actually the worst line you could use.

00:54:00.100 Especially for normal people.

00:54:01.400 If you're not a billionaire, it's not going to work because it comes across as weak.

00:54:04.680 You're opening by asking permission.

00:54:06.580 You're basically begging.

00:54:07.600 Hey, may I meet you?

00:54:08.520 Like, you're the best. 0.99

00:54:09.240 I suck. 0.99

00:54:09.880 May I meet you? 1.00

00:54:10.600 You're in charge.

00:54:11.500 So that's actually not good.

00:54:13.020 We have some other examples here of may I meet you in action.

00:54:15.880 May I meet you at this baseball game?

00:54:18.840 JD Vance, may I meet you?

00:54:20.760 Underneath the toilet stall. 1.00

00:54:22.500 The guy from last week who was pulling and stroking his shit at the girl in India. 1.00

00:54:27.720 Sri Lanka. 1.00

00:54:28.500 Sri Lanka.

00:54:29.320 We had to issue a correction.

00:54:30.500 It wasn't India. 0.96

00:54:31.300 It's the island just south of India.

00:54:33.580 Same people, basically.

00:54:35.660 But we have to issue that correction. 1.00

00:54:37.040 It's all fucking India. 1.00

00:54:37.460 He said, may I meet you and may I stroke my shit? 1.00

00:54:39.600 He actually did kind of do that. 1.00

00:54:41.080 And it didn't work.

00:54:42.380 And I have some advice, some better opens.

00:54:45.720 Okay.

00:54:46.340 So you guys can use these if you want.

00:54:48.340 You don't need to credit me.

00:54:49.200 Here's a better open.

00:54:50.680 Say you're at a restaurant and you're eating and there's a girl that you want to meet and

00:54:54.160 she's eating and there's people all around, right?

00:54:56.740 You go to the girl you want to meet and say, excuse me, can you hand me that?

00:54:59.860 And you point to like the table next to her guy's cheeseburger.

00:55:05.060 Okay.

00:55:05.700 That is a good line.

00:55:07.160 Say, hey, can you hand me that?

00:55:08.080 And it's like someone else's food who she doesn't know.

00:55:10.400 And then she'll be like, what?

00:55:11.540 That's a funny bit.

00:55:12.500 Yeah, that's a good bit.

00:55:13.640 So that's pretty good, right?

00:55:15.500 That's funny.

00:55:16.660 Or.

00:55:16.940 Has it ever worked for you?

00:55:19.320 Maybe.

00:55:20.520 I don't remember. 1.00

00:55:22.200 Get away from me, you shitty hairline. 1.00

00:55:25.560 Fat, fat, fat pig. 1.00

00:55:27.740 You want that guy's cheeseburger? 1.00

00:55:30.480 Yeah, get the fuck away from me. 1.00

00:55:32.680 All right. 0.97

00:55:32.960 Here's another one that actually could work too.

00:55:35.120 Okay.

00:55:35.560 And one I've used in my younger years.

00:55:37.800 Okay.

00:55:38.580 You go up to a girl and say, excuse me, can you take a quick picture for me?

00:55:41.600 And she'll go, sure.

00:55:42.700 And then you hand your phone to your friend and you stand next to her and he takes a picture

00:55:46.680 of you and the girl.

00:55:47.820 Oh.

00:55:48.500 And then it's a funny bit.

00:55:49.680 And then at the end you have like an excuse to change, exchange phone numbers so she can send

00:55:53.840 the picture to her.

00:55:54.780 Yeah.

00:55:54.920 She wants a picture with the sweaty stranger at the bar who's blacked out.

00:55:57.820 But that's funny.

00:55:59.080 Okay.

00:55:59.460 I get, yeah, yeah. 0.99

00:56:00.200 I'm not shitting on you. 0.99

00:56:01.360 Oh, sure. 0.99

00:56:01.680 I'll take a picture for you.

00:56:02.680 So you've subconsciously got the yes, but it's a picture of you and the girl.

00:56:07.740 And that's what she doesn't get.

00:56:08.960 And now you're a funny guy.

00:56:10.120 Now you're confident.

00:56:11.440 That's actually one of my favorite bits that I see online all the time.

00:56:14.620 That kind of bait and switch where you go up to a police officer on a horse and you

00:56:19.180 go, can I pet?

00:56:20.260 And he goes, yeah, sure.

00:56:21.540 And then you start petting his leg.

00:56:22.720 Don't touch me.

00:56:23.260 Yeah, that's basically it though.

00:56:25.580 All right.

00:56:25.940 I'm going to cook one last time here a little bit more.

00:56:28.420 Okay.

00:56:29.320 A lot of times guys want to approach girls just because they're hot and they'll go, oh,

00:56:33.860 I want to meet that girl.

00:56:34.860 Oh, it didn't go well. 1.00

00:56:35.800 I'm a fucking loser. 1.00

00:56:36.720 And they start hitting, kicking their self and whatever. 1.00

00:56:39.180 Yeah.

00:56:39.840 Because they're too hot.

00:56:40.700 Well, it's just, you can't just connect with someone because they're hot.

00:56:44.980 You have to know your league.

00:56:46.440 You have to have something.

00:56:47.640 So if you go to the store and she's wearing a band t-shirt of a band you like, hey, you

00:56:55.200 like Fleetwood Mac?

00:56:56.260 What's your favorite Fleetwood Mac song?

00:56:58.100 You know, you go to the coffee shop and she orders the same drink as you, you know?

00:57:03.680 And now it's like, oh, we have a little excuse to have a conversation.

00:57:06.380 We got the same drink.

00:57:07.160 Um, or maybe you go home from the holidays and she's from the same hometown as you and

00:57:13.160 she's home for the holidays, but she's like a boss corporate boss babe type and you sell 0.99

00:57:18.640 Christmas trees and her family's dragging her to get a Christmas tree and she's on the

00:57:22.860 phone doing business.

00:57:23.780 And then you bump into her and you spill her hot chocolate all over her.

00:57:27.420 And then, uh, you kind of help her clean it off and then you make eye contact when you're

00:57:31.980 close to her and the Christmas tree lights all come on at the same time.

00:57:35.100 And then there's Christmas music that starts playing and then the drone shot zooms out

00:57:39.240 and you fall in love or something like that.

00:57:41.100 All right.

00:57:41.540 This is sounding like a lifetime movie.

00:57:44.020 And I think we actually covered one.

00:57:46.100 I think we actually covered a video in cringe where a guy tried to make conversation with

00:57:49.740 a girl.

00:57:50.340 This was like maybe a year ago because they ordered the same exact drink at Starbucks.

00:57:54.840 Do you remember that clip?

00:57:56.140 And the guy was like, she just rejected me.

00:57:57.960 She humiliated me.

00:57:59.820 So, well, that's the thing too.

00:58:01.720 You can get rejected, but if you take a rejection as, 0.99

00:58:05.100 Oh, I'm a fat loser with a bad hairline. 1.00

00:58:07.340 Yeah. 1.00

00:58:08.100 That's what you think of yourself.

00:58:09.900 If you think of yourself highly and she rejects you, she just made a mistake.

00:58:13.980 I'm the man. 0.99

00:58:14.640 I'm cool as fuck. 0.98

00:58:15.500 That's true. 0.99

00:58:16.240 So it's all like a mirror, you know, it's all a reflection of yourself.

00:58:19.800 And if you get bummed out by a girl rejecting you, that just means that you're not in the

00:58:25.520 right place to approach girls maybe at all, or maybe you're a little jaded or whatever,

00:58:30.260 but it should never be a negative reflection of you because what could she possibly, she

00:58:34.140 doesn't even know you and she rejected you. 0.96

00:58:35.840 So her not knowing you, doesn't that prove that it doesn't, it's not something you should

00:58:40.260 take that seriously.

00:58:41.260 Yeah.

00:58:41.860 Yeah.

00:58:42.160 True.

00:58:42.660 And you could also build up your confidence by going on Grindr.

00:58:45.720 Oh yeah. 1.00

00:58:46.420 Those guys are fucking, they'll go crazy. 1.00

00:58:48.560 You'll feel good about never getting rejected and everyone's down for anything. 1.00

00:58:52.320 Oh, let's meet up.

00:58:53.000 Yeah.

00:58:53.200 Let's go on a date.

00:58:54.180 Oh, let's meet up.

00:58:54.780 I'll come to your house.

00:58:55.540 Yeah.

00:58:56.020 And you can just kind of warm up on Grindr with some easy yeses.

00:58:59.980 For sure.

00:59:00.660 For sure.

00:59:01.340 All right.

00:59:03.140 Anything else?

00:59:03.980 You like that holiday bit, the Hallmark Channel movie?

00:59:07.020 Yeah.

00:59:07.880 You work at the Christmas tree place.

00:59:10.660 Yeah.

00:59:13.020 Bill Ackman, the, hey, may I meet you?

00:59:15.100 I just imagine someone saying, hey, may I meet you?

00:59:17.440 And then the girl goes, yeah. 0.59

00:59:18.820 And then someone frantically shuffling through his note cards being like, sorry, I've never

00:59:21.820 gotten this far.

00:59:22.640 What comes next?

00:59:23.480 Yeah.

00:59:23.680 So, and then, okay, let's keep extrapolating on this.

00:59:26.920 A big reason normal guys and normal girls are not getting together is because a lot 1.00

00:59:31.120 of the girls these days, um, are whores compared to women of generations before compared to 1.00

00:59:39.140 I think there were whores in the old days too, but yes, it's more ubiquitous. 1.00

00:59:43.240 It's more widespread. 0.71

00:59:44.000 And it's not everybody, but this is just generally speaking with dating apps and stuff.

00:59:48.080 So, a six, a girl who's a six doesn't match with a guy who's a six anymore because women 1.00

00:59:54.500 today who are sixes are more promiscuous and have access to the top 10% of men on dating

00:59:59.300 apps, right?

01:00:00.100 Okay.

01:00:00.380 Yeah.

01:00:00.660 Yeah, yeah, yeah.

01:00:01.300 So, the guys, unfortunately on the dating apps use these girls.

01:00:06.200 They don't marry them. 0.99

01:00:07.520 And then they don't give them, then they don't during this whole time, don't give the time

01:00:10.860 of day to guys who are actually in their league.

01:00:13.080 Yeah.

01:00:13.480 Cause they think they're hitting above.

01:00:15.260 I'm a 10.

01:00:15.580 I hooked up with the guy on the Miami Dolphins and it's like, nah, he texted you at 1am and

01:00:19.700 you went over his house.

01:00:20.760 He used you as a. 0.99

01:00:22.300 Human fleshlight.

01:00:23.060 Human fleshlight.

01:00:23.820 I didn't want to say it.

01:00:24.620 I'm glad you did.

01:00:25.320 I didn't want to say it either.

01:00:26.440 Um, so that's why the people who aren't getting together in their own leagues, cause they are

01:00:30.820 convinced that because they're sleeping with guys that are out of their league, that they're

01:00:34.160 in that high league and then they don't get married to them obviously. 0.98

01:00:37.780 And then they'll eventually settle for someone who is in their league and they'll resent them.

01:00:42.340 And then everyone's miserable.

01:00:43.800 And our next clip is an example of that type of girl. 1.00

01:00:46.900 I'm being so fucking serious. 0.63

01:00:48.400 The next man that enters my life, he is required to take me out on three dates before he gets 0.91

01:00:53.820 a sleepover and before he gets my clothes off.

01:00:57.400 Okay. 0.95

01:00:57.760 I'm being so fucking for real right now because here's the thing. 0.95

01:01:00.560 Like, as soon as you spend the night with a man, not even doing anything, they stop asking 0.96

01:01:04.640 you out on dates. 0.98

01:01:05.680 Then once you sleep with them, they don't want anything to fucking do with you anymore. 0.98

01:01:09.420 Which like, whatever. 0.99

01:01:10.600 I'm tired of men sexualizing me and objectifying me.

01:01:13.860 Yeah.

01:01:14.140 I've made it very easy for them to do that in the past, but like, I'm done. 0.97

01:01:16.920 I'm seriously fucking done. 0.87

01:01:18.340 Like hookup culture is fun for like five minutes. 0.98

01:01:21.640 I miss connection.

01:01:23.700 I miss.

01:01:24.780 She says she doesn't want to be sexualized anymore, but I'm sure she wears her underwear 1.00

01:01:28.680 to the gym.

01:01:29.640 Yeah.

01:01:29.940 And then she's making guys now that she's dating who are maybe on her level and wanting

01:01:33.780 to date her work for something that she gave away for free over and over and over in the

01:01:38.980 back seat of a car in Tulum after a night drinking at the bar. 0.99

01:01:43.460 But now you sucker who actually wants to date me, you need to wait. 0.99

01:01:48.140 Three dates. 0.99

01:01:48.500 And that makes the guy want to not be alive anymore.

01:01:51.300 That's the worst thing you could ever say.

01:01:52.500 Or it makes a guy become an incel where it's like, oh, these girls are so bad. 1.00

01:01:55.300 I don't even want to date anybody.

01:01:56.460 That's the worst thing you could ever say to a guy.

01:01:59.360 Like, you know, it's not like a guy who's looking to sleep with you is living the most

01:02:03.420 biblical life or anything, but that is one of the worst. 1.00

01:02:06.960 Like, oh, I was such, I used to do that, but not anymore.

01:02:09.840 I'm trying to be different.

01:02:11.040 I'm a born again virgin now.

01:02:12.900 It's like, wait, you were doing what?

01:02:14.780 What were you doing?

01:02:15.620 You went to Tulum?

01:02:16.180 And then this girl has no instincts.

01:02:17.660 She posts that online.

01:02:18.920 That's crazy bad.

01:02:20.460 So she has really no instincts that, like, this will make me look bad and I'm admitting

01:02:24.300 to, like, whoring a little bit, right? 0.66

01:02:26.140 Yeah.

01:02:26.860 And even celebrity women are having a hard time dating. 1.00

01:02:29.180 Here we have Leslie Jones talking about that. 1.00

01:02:31.640 I'm sick of men telling me, oh, wait, you know, you whore. 1.00

01:02:34.620 Yes! 1.00

01:02:35.860 I am!

01:02:37.080 I am!

01:02:37.940 Can you handle it?

01:02:39.040 Oh, well, what you bringing to the table?

01:02:40.940 I am the table!

01:02:42.120 Yeah, yeah, yeah.

01:02:42.500 I don't understand why you wouldn't want a woman like me.

01:02:53.520 I am successful.

01:02:54.600 I am rich.

01:02:55.300 I can fight.

01:02:57.560 Well, you're confident.

01:02:59.080 Yeah.

01:02:59.280 That's good.

01:03:00.240 Yeah.

01:03:00.820 And here's a hint why no one wants to date you.

01:03:04.440 It's that zoomed up picture right there.

01:03:06.560 Yeah.

01:03:07.300 That's why.

01:03:07.820 Men don't like women who make a lot of guttural noises. 1.00

01:03:11.440 Yeah, you're loud, you're aggressive, you're 6'1", you're 230 pounds.

01:03:17.340 I'm just going to move along. 0.67

01:03:18.640 I'm just going to date someone else.

01:03:19.800 You are successful.

01:03:20.980 Congratulations.

01:03:21.560 You do have money.

01:03:23.000 Unfortunately, that doesn't really help with men. 0.95

01:03:24.900 Yeah, you ruined Ghostbusters.

01:03:26.300 That's pretty impressive.

01:03:26.740 That was nice.

01:03:27.420 That's a resume builder.

01:03:29.040 Congratulations.

01:03:29.880 And there was a funny meme tweet that went along with it.

01:03:32.740 POV, the last thing you see before you die at Waffle House.

01:03:35.500 Yeah, that's the.

01:03:36.920 Pretty much it.

01:03:37.580 That's the prototype.

01:03:38.780 All right.

01:03:39.280 And let's go to the other side of things.

01:03:42.000 The lonely guy epidemic.

01:03:43.700 Because a lot of times guys that aren't dating end up being really lonely.

01:03:47.420 This guy is lonely at a restaurant.

01:03:50.580 Yeah, the video doesn't have any sound, but it basically says you don't know how lonely

01:03:54.340 or you don't know lonely until you have to take yourself for that meal alone.

01:03:58.840 Because sitting in a room with strangers is better than sitting in your own thoughts in an empty room.

01:04:05.500 Are you filming yourself crying alone at a restaurant and posting it to TikTok?

01:04:10.060 Brother, not very manly.

01:04:11.780 Is that what's going on here?

01:04:13.560 It is.

01:04:13.740 Well, if only I had a girlfriend, then I'd be happy.

01:04:16.360 At Chili's.

01:04:17.260 That's the problem.

01:04:18.500 Yeah.

01:04:19.660 It's very emotional and weak.

01:04:21.520 And you're kind of acting like a girl.

01:04:23.260 Yeah, you are.

01:04:24.860 Which takes us to our next picture.

01:04:26.340 Can you read that out loud?

01:04:27.600 Yeah, the same guy said,

01:04:28.700 Being born a woman and turning myself into a man is absolutely wild.

01:04:32.360 Sometimes I canny believe I'd done it.

01:04:34.860 There you go.

01:04:35.680 So I guess he's a Scottish female to male trans person. 0.99

01:04:39.340 Oh, that is a trans person trying to act like a man and realizing being a man can pretty much suck a lot. 1.00

01:04:45.440 Yeah. 1.00

01:04:45.700 Welcome to being a man.

01:04:46.840 Imagine, dude, imagine going from being a woman to being a man, like, I guess in your 20s or something. 0.88

01:04:53.320 And, like, girls, you know how girls are. 1.00

01:04:56.680 Everybody goes all out for each other's birthday because it's a security thing where they go out for each other and then the same will happen to them.

01:05:03.840 Now you're eating french fries alone in the thing.

01:05:06.000 You became a man. 0.99

01:05:06.740 Nobody gives a fuck. 0.99

01:05:07.780 No one gives a fuck. 1.00

01:05:08.980 So. 1.00

01:05:09.480 Crazy.

01:05:10.440 And you know what? 0.97

01:05:11.260 This is not a really good sign of mental health either.

01:05:13.920 I can't be alone with my thoughts in a room.

01:05:16.400 It's like those thoughts are probably pretty dark. 0.99

01:05:18.080 Why the fuck did I do this? 0.98

01:05:19.300 Was this a mistake? 1.00

01:05:20.780 I'm full of testosterone.

01:05:21.820 It's like, yeah, I can't be alone with my thoughts.

01:05:23.660 And it's like, yeah, everyone's like that.

01:05:26.120 Me too.

01:05:26.860 Me too.

01:05:28.060 What are you thinking about?

01:05:29.540 Like, what's so bad?

01:05:31.300 Can't be alone with my thoughts.

01:05:32.760 So dating section, I guess proactive.

01:05:34.760 Find a nice girl who didn't just whore around and find somebody who's nice and quiet and joke around. 0.97

01:05:41.680 Have a good sense of humor. 0.89

01:05:43.000 Overlap.

01:05:43.820 Don't ask someone if you may meet them.

01:05:46.200 You can just meet people.

01:05:47.920 Yeah.

01:05:48.360 Meet you.

01:05:48.940 Just trick them.

01:05:49.920 Hey, can you hand me that?

01:05:50.740 There's nothing there.

01:05:51.820 How you doing?

01:05:52.400 Gotcha.

01:05:55.240 All you got to do is have a couple bits and then you do it.

01:06:01.040 You have a cigarette?

01:06:01.860 I like to find a guy to make fun of. 1.00

01:06:04.660 Like, you know, someone kind of comes in and is wearing stupid pants. 1.00

01:06:07.500 You go, how about those pants? 1.00

01:06:08.940 How about stupid pants? 1.00

01:06:10.180 You immediately bond over something. 1.00

01:06:11.700 That's it.

01:06:12.380 Or if you're in the library in college, you go, hey, do you have a cigarette?

01:06:15.600 Yeah.

01:06:15.840 That's funny.

01:06:16.760 No one smokes cigarettes in the library.

01:06:18.600 Yeah, that's true.

01:06:19.360 You got to twist them a little bit.

01:06:20.960 Get them off guard.

01:06:22.300 Yeah. 0.99

01:06:22.920 And then you lunge for her boobs. 1.00

01:06:26.060 Like you're a Sri Lankan, man. 1.00

01:06:27.560 Like you're a Sri Lankan. 0.95

01:06:29.020 Yeah.

01:06:29.360 And also eating-

01:06:30.140 When do I pull it out?

01:06:31.320 Yeah.

01:06:31.740 When do I whip it out?

01:06:32.900 Don't ask the Indians. 1.00

01:06:34.180 Go right away.

01:06:35.020 They go within five minutes.

01:06:36.460 Otherwise, you have lost the encounter.

01:06:38.120 Yeah.

01:06:38.620 And then also eating alone at a restaurant.

01:06:41.520 I don't know if you guys are up to that.

01:06:42.920 I've done that a million times.

01:06:44.440 I love doing that.

01:06:46.380 I used to do that on New York City when I lived there all the time.

01:06:49.220 I would go to Metro Diner, I think it was called.

01:06:52.880 No, that's in Florida.

01:06:55.300 Some other diner.

01:06:56.320 I forget what it's called.

01:06:57.600 And I would just sit there and just eat by myself.

01:07:00.080 And I would just look around.

01:07:01.880 And it was nice.

01:07:02.860 Yeah.

01:07:03.560 And then the thoughts.

01:07:04.940 Yeah, the thoughts.

01:07:06.260 The thoughts were killing me.

01:07:07.940 The thoughts.

01:07:09.280 Then the thoughts started to creep in.

01:07:12.140 What is everyone's problem?

01:07:13.720 I don't know.

01:07:14.300 Depression?

01:07:15.640 Medically induced depression?

01:07:16.860 Yeah, I think that happens if your girl gets injected with testosterone. 1.00

01:07:20.880 Who tries to become a guy?

01:07:22.020 Yeah, I think you're a little prone.

01:07:23.680 Me, I'm like happy.

01:07:24.880 There's a song going on in my head.

01:07:27.160 I'm like, look at Crazy Pants. 1.00

01:07:28.380 Yeah, look at Crazy Pants. 1.00

01:07:29.840 That guy's pants suck. 1.00

01:07:31.560 That guy's a pussy. 1.00

01:07:32.700 Well, that's the end of Cringe. 1.00

01:07:33.980 We're now moving on to Urban Decay.

01:07:37.880 All right, our first clip of Urban Decay.

01:07:40.080 This woman is trespassing at Walmart. 1.00

01:07:42.380 And then she calls the cops on the cop. 1.00

01:07:45.020 What are we doing?

01:07:45.380 I'm good, and you?

01:07:46.620 I'm going to call 911.

01:07:48.120 I'm right here.

01:07:48.840 No, I'm calling 911.

01:07:50.340 For what?

01:07:50.780 I want to make sure I'm safe, because I don't know who you are.

01:07:56.760 There's a guy that's here.

01:07:58.400 He's saying he's a police officer.

01:08:00.380 Does the officer have a uniform on and a vest that says police on it?

01:08:05.180 Yeah, it does.

01:08:06.080 But the thing is, is he, I'm not sure if he's an American citizen, though.

01:08:10.140 Okay, is this Yolanda?

01:08:11.700 This is her.

01:08:12.660 That's Officer Buckley.

01:08:14.460 I am going to disconnect.

01:08:16.000 We're not going to do this.

01:08:17.140 Well, no, no.

01:08:17.600 I'm about to call my Facebook, because, see, I'm not sure.

01:08:20.260 Listen, you were trespassed from here?

01:08:21.580 No, I'm not a trespasser.

01:08:23.240 Hold on, hold on, hold on.

01:08:24.280 Walmart Management trespassed you.

01:08:26.020 It is confirmed in our system and through their system that you've been trespassed.

01:08:28.960 The systems are down.

01:08:30.140 That's okay.

01:08:30.620 I want everybody.

01:08:31.380 I want y'all to be on Facebook with us.

01:08:33.680 Yeah, this isn't going to go the easy way.

01:08:35.300 She's not cooperating.

01:08:36.460 No, no, no.

01:08:36.840 You are going to be going to jail.

01:08:37.880 This is my food.

01:08:38.200 Can somebody help me?

01:08:39.440 Let's go.

01:08:40.040 Somebody from United States, please. 0.85

01:08:43.520 I'm going to call Facebook now.

01:08:45.260 Yeah.

01:08:45.920 That's not good.

01:08:46.760 We know it's like with the thing, she goes, the system's down.

01:08:51.820 So she, like, knows the whole process.

01:08:53.320 Yeah, she knows I can sneak into Walmart when the system's down, because I've been banned

01:08:56.520 for life for fighting.

01:08:57.860 And then the dispatcher already knew who she was, so she's a regular.

01:09:01.940 But she's a victim.

01:09:02.940 She don't feel safe because she's being asked to leave the Walmart that she's banned from

01:09:07.420 because she steals. 1.00

01:09:08.780 There's a weird thing that they always try to involve a third party.

01:09:12.540 They think something else helps them.

01:09:14.840 It's like, you're leaving the Walmart.

01:09:16.900 No matter who you call, no matter what kind of number you pull out of your hat.

01:09:21.080 But it's that oppositional defiant energy.

01:09:23.440 I can't be told nothing.

01:09:25.540 And this is something I brought up before.

01:09:28.740 She keeps going back to the Walmart she's been trespassed from.

01:09:31.940 And that's dangerous, you know?

01:09:36.580 How bad behavior in Walmart.

01:09:38.180 Risking getting kicked out of your local Walmart is tough.

01:09:41.840 They cut you off if you're broke.

01:09:43.120 Now you're in a real food desert.

01:09:44.540 Me, I could go to Sprouts.

01:09:46.500 I could go to Publix.

01:09:47.800 I could go anywhere.

01:09:48.740 But you need that, Walmart.

01:09:50.520 Yep.

01:09:50.860 All right, let's get to our main story.

01:09:52.640 This is the one we mentioned in the intro.

01:09:54.600 A Chicago pregnant mom was attacked by a bunch of elementary school kids. 0.98

01:09:58.620 Yeah, the context here is this was after school, immediately after it got let out.

01:10:03.540 And she was picking up her son or her children.

01:10:07.820 And they kind of bully the kid.

01:10:09.700 And then they do it right in front of the mom.

01:10:12.280 And things escalate. 1.00

01:10:13.440 Julia, Julia, bitch. 1.00

01:10:21.620 8 So don't touch my, don't touch my brotherhood. 1.00

01:10:23.780 product.

01:10:24.880 Oh, hell no, those eggs are just. 0.99

01:10:27.540 Look at this so bad darn app. 1.00

01:10:33.240 Other bitches, other bitches, more. 1.00

01:10:35.600 Go, Joe. 1.00

01:10:36.580 That's the man.

01:10:37.560 That's the man.

01:10:39.000 Daya! 0.79

01:10:40.000 Daya! 0.79

01:10:41.000 Daya! 0.79

01:10:42.000 Daya! 0.79

01:10:43.000 Daya! 0.79

01:10:44.000 Oh my god, ma!

01:10:45.000 Daya! 0.79

01:10:46.000 Daya! 0.79

01:10:47.000 Daya! 0.79

01:10:48.000 The little kids send the back of their kids!

01:10:50.000 The big kids not touching them!

01:10:52.000 I'm scared of my way!

01:10:53.000 Daya! 0.79

01:10:54.000 Daya! 0.79

01:10:55.000 Daya! 0.79

01:10:56.000 Daya! 0.79

01:10:57.000 Daya! 0.79

01:10:58.000 Daya! 0.79

01:10:59.000 Daya! 0.79

01:11:00.000 Daya! 0.79

01:11:01.000 Daya! 0.79

01:11:02.000 Daya! 0.79

01:11:03.000 Daya! 0.79

01:11:04.000 Daya! 0.79

01:11:05.000 Daya! 0.79

01:11:06.000 Daya! 0.79

01:11:07.000 Hey, so let my homie go. 1.00

01:11:10.300 Let my motherfucking homie go. 1.00

01:11:12.360 Let my motherfucking homie go. 1.00

01:11:21.080 Beat his ass, yo. 1.00

01:11:23.280 Very grim scene. 1.00

01:11:25.240 Yeah, you see once they take her down, it's some immediate head kicks. 1.00

01:11:30.760 And, yeah, they were filming her shoes.

01:11:32.960 That's a big part of it.

01:11:33.940 They called her Dusty or something.

01:11:35.440 Ashy, yeah.

01:11:36.260 Ashy.

01:11:36.600 But this is elementary school.

01:11:38.880 So nobody's older than 11 or 12, if I'm correct, right?

01:11:42.520 What were you in sixth grade?

01:11:43.560 12 years old or 11?

01:11:44.420 Yeah, yeah.

01:11:45.160 So all young kids, we covered a, in Bonusland, last episode of Bonusland,

01:11:51.180 we covered a nine-year-old who got charged with, right?

01:11:55.780 So they're getting younger and younger and dangerous, you know,

01:11:59.100 especially in a pack.

01:12:00.120 Very dangerous, very grim scene.

01:12:02.300 And it's something that I guess we pay for as the taxpayers,

01:12:06.260 since we're paying for everyone's EBT in Section 8.

01:12:08.760 Like, we're kind of on the hook and, like, subsidizing this behavior.

01:12:14.420 Yeah, I can't imagine how much total benefits between all those kids and the mom there.

01:12:19.500 So we're complicit almost.

01:12:20.960 Yeah.

01:12:21.280 We're funding this.

01:12:22.200 Yeah, exactly.

01:12:22.820 We're like, yeah, it's, we're darkly funding this.

01:12:25.960 We're the angel investors.

01:12:27.120 Yeah, exactly.

01:12:28.440 We own 20% of this brawl and this stomp out right now.

01:12:31.960 Unfortunately, and it's very grim, and I hope everyone's okay.

01:12:35.180 And we have some-

01:12:36.100 She's pregnant. 1.00

01:12:37.020 Yeah.

01:12:37.180 They're doing head kicks on the ground.

01:12:39.020 Horrible.

01:12:39.620 There was a protest afterwards.

01:12:41.420 There was some stuff like that.

01:12:42.860 Like, this became a news incident, and the school has to answer for it.

01:12:47.460 I'm sure nothing's going to change.

01:12:49.240 A mob can still form at any moment.

01:12:51.260 Yeah.

01:12:51.600 But this is why real estate prices in certain areas are $50,000 on Zillow,

01:12:57.760 and other areas, they're $500,000.

01:13:00.840 That's why.

01:13:01.560 Yeah.

01:13:01.740 And we have a thing I wanted to mention about IQ and violence I thought was interesting.

01:13:06.960 Unrelated.

01:13:07.660 Yeah.

01:13:07.880 New meta-analysis of IQ and violence found that compared to nonviolent controls,

01:13:13.060 violent persons averaged about 28 point lower IQs.

01:13:17.120 That's a pretty sizable gap.

01:13:18.900 Very.

01:13:19.360 And I think that probably goes across ages, too.

01:13:22.160 Like, any age.

01:13:23.100 It's just how willing are you to be violent.

01:13:25.760 A lot.

01:13:26.300 What's your IQ?

01:13:27.360 Yes, exactly.

01:13:27.960 And then a lot of times in these urban communities, a lot of people are convinced

01:13:32.020 that white supremacy or racism is, like, a big problem in America.

01:13:36.280 And we have a clip here from the mayor of Chicago, Brandon Johnson,

01:13:39.440 talking about how Trump sending a National Guard to stop the violence is really because

01:13:45.300 of racism.

01:13:46.240 So we know that the intentional attacks that are coming from the Trump administration

01:13:50.420 and the extreme right in this country has very much been what I call is it's an attempt

01:13:56.340 to relitigate the Civil War, right?

01:13:58.680 They have not accepted the results that the North actually won.

01:14:02.140 Yeah.

01:14:02.620 It's about racism. 1.00

01:14:04.100 Trying to stop black criminals from violently attacking other black people is about the 1.00

01:14:09.100 Civil War. 1.00

01:14:10.760 It is loosely about black people.

01:14:12.740 The Civil War was loosely about black people.

01:14:15.020 And then those women nod.

01:14:16.440 Yeah.

01:14:16.800 You know? 1.00

01:14:17.340 The two stupid white women. 1.00

01:14:19.000 And, like, wanting to arrest violent repeat offenders, that's Trump wanting to lock up 1.00

01:14:24.360 black men. 0.98

01:14:25.020 Yeah. 0.76

01:14:25.580 Yeah.

01:14:25.920 It's Trump's fault we took away ShotSpotter and homicides ticked back up.

01:14:30.280 Yeah. 1.00

01:14:30.980 He's so fucking stupid, man. 1.00

01:14:32.420 He's so stupid. 1.00

01:14:33.860 And then his- 1.00

01:14:34.240 But that's what you do.

01:14:35.760 You got an easy way I can invoke race on everything that's critical of me, every shortcoming

01:14:41.220 I have, I think I'm going to hammer that race button, you know? 0.99

01:14:44.840 You just want to put black men behind bars. 1.00

01:14:46.740 And it's like, well- 0.99

01:14:47.700 I mean, you get some black people going like this, you know? 1.00

01:14:49.640 And the Jewish ladies on that podcast going- 0.85

01:14:52.840 I don't know.

01:14:53.360 They look pretty blonde. 0.94

01:14:54.960 Well, I think that one lady is the same lady from before. 0.97

01:14:57.360 White people have no culture. 1.00

01:14:58.620 I think that's her. 0.99

01:14:59.380 Yeah.

01:14:59.780 And then we have another story out of Chicago, speaking of repeat offenders who aren't

01:15:04.140 staying in jail for some reason.

01:15:05.520 Can you read that headline?

01:15:06.320 Yeah.

01:15:07.260 A suspect in custody for setting woman on fire on Blue Line is supposed to be wearing

01:15:12.540 an ankle monitor.

01:15:13.940 This was a woman who just was randomly lit on fire. 0.66

01:15:18.320 She was a 26-year-old, so early mid-20s lady.

01:15:22.460 Set ablaze on Chicago train by male passenger months after Ukrainian refugee died at the hands

01:15:27.380 of subway riders.

01:15:28.260 So it's more subway violence.

01:15:31.180 And, you know, it's more subway violence and it's more repeat offender because this

01:15:34.760 guy had been arrested 22 times since 2016, and I believe 49 times total. 0.97

01:15:41.700 Trump just wants to put him behind bars because he's black. 0.63

01:15:44.120 This is really about the Civil War. 0.99

01:15:45.920 That's why she got set on fire.

01:15:47.540 Because the Ku Klux Klan used to set fire to crosses. 1.00

01:15:50.740 Not because this guy's a violent, low IQ retard. 1.00

01:15:53.220 That has nothing to do with it. 0.98

01:15:55.580 Yeah.

01:15:56.060 So that's what we're dealing with.

01:15:57.380 Like, there's actual crime.

01:15:58.600 There's so many repeat offenders who are, like, a small percentage of people are terrorizing

01:16:02.780 the entire city and doing all the violent crime.

01:16:05.100 And then the mayor of that city, after seeing the pregnant woman get attacked, the woman 0.97

01:16:08.680 set on fire, he goes, Trump wants to relitigate the Civil War.

01:16:12.780 This is actually because of Abraham Lincoln or something.

01:16:15.260 Yeah.

01:16:15.820 It's pretty crazy.

01:16:17.280 And obviously, when it comes to criminals, a lot of times, in my opinion, and I'm sure you 0.73

01:16:23.020 would agree, when it's a black offender, they get more lenient sentencing than a white 0.99

01:16:27.880 person would. 0.95

01:16:28.560 Yep.

01:16:28.980 And we have an example here.

01:16:30.300 Can you read the original and then the replies?

01:16:31.840 A teen killer sentenced to just 14 years in stabbing death of Barnard student Tessa Majors.

01:16:39.540 And this Twitter user pointed out some inconsistencies.

01:16:45.020 I think the guy who simply filmed Ahmaud Arbery's death got life in prison.

01:16:51.200 And that guy was filming, like, for his own protection, basically.

01:16:54.900 Like, we're documenting that we're getting this thief jogger in Timberlands. 0.96

01:16:59.560 Like, he was filming to prove that this was self-defense and this was a problem.

01:17:03.220 And then because he filmed, he got life in prison for filming.

01:17:06.720 And I think those guys just got their appeal denied.

01:17:10.320 Something happened where they all, three white guys are going down forever because he was a

01:17:15.120 jogger instead of casing places.

01:17:16.940 And there was a struggle for a gun. 0.94

01:17:19.600 And then back to the original article, three black dudes held her down. 0.99

01:17:24.780 She escaped twice just for them to catch her again and stab her multiple times in the heart. 0.92

01:17:29.600 He will be out of prison by the age of 30. 1.00

01:17:31.500 This country fucking sucks. 1.00

01:17:33.240 Isn't that frustrating? 1.00

01:17:34.440 Stabbing and snuffing the life out of a nice young white girl. 0.99

01:17:38.160 Well, Barnard College probably was on track to be something.

01:17:42.400 Yeah, she kind of voted for it.

01:17:45.300 But she deserved to live, you know?

01:17:46.680 She deserved to live.

01:17:47.860 I say that in jest.

01:17:49.140 Yes, exactly. 0.91

01:17:50.700 But like we said, the black community is convinced that racism is their big problem. 0.90

01:17:54.720 Here's a woman finding racism in ice cream. 1.00

01:17:57.100 Okay, so I've been seeing this all my life, right?

01:18:03.280 The great divide.

01:18:05.000 Y'all even got the big one.

01:18:06.280 The great divide.

01:18:07.080 Okay, y'all don't think this.

01:18:08.160 Y'all don't think these words is...

01:18:10.240 Because how do y'all got the brown side, the vanilla side, the word divide?

01:18:21.540 This is a real problem for you?

01:18:23.440 That's big.

01:18:24.060 This is eating her up at night.

01:18:25.060 This is what your problems are.

01:18:27.780 It's like, this is the racism we've heard so much about.

01:18:30.060 The chocolate and vanilla ice cream divided down the middle.

01:18:32.800 Yeah.

01:18:33.220 It's like, oh, is it about white people? 0.93

01:18:35.080 Are white people the ones who are carjacking you and doing drive-bys and attacking you and 0.99

01:18:39.340 robbing your stores? 1.00

01:18:40.540 Is it white people? 0.99

01:18:41.920 Yeah. 0.59

01:18:42.160 Wait until she hears about the Blue Bell flavor, undeveloped prefrontal cortex.

01:18:47.900 Oh, yeah.

01:18:48.620 Wait until she hears about that extra bone in your ankle that makes you jump higher.

01:18:53.540 Chocolate.

01:18:54.340 That's the flavor.

01:18:55.740 Ben and Jerry's.

01:18:56.540 It's so crazy.

01:18:57.460 Yeah. 0.99

01:18:57.620 Ben and Jerry's, why black people jump higher? 1.00

01:18:59.720 Yeah.

01:19:00.480 And it's got little caramel swirls in it.

01:19:02.780 It's really good, actually.

01:19:04.040 Yeah, it's pretty good.

01:19:05.100 But yeah.

01:19:05.520 No, I get the point that you're doing here.

01:19:07.080 We got real problems, 12-year-old stomping out a pregnant woman.

01:19:11.860 And then Brandon Johnson talks about the Civil War.

01:19:14.740 And then you got a repeat offender, 22 arrests, lighting people on fire.

01:19:18.940 But then the ice cream's the problem.

01:19:21.300 Then, you know, the stabbing person gets 14 years.

01:19:25.300 There's just such a major juxtaposition of, like, what actually matters and what's a distraction.

01:19:30.060 Yeah. 0.99

01:19:30.280 And they really want a lot of us to be distracted on stupid, superficial shit and not the important stuff. 1.00

01:19:37.440 Racism. 1.00

01:19:37.940 Yeah.

01:19:38.340 But there is some good news.

01:19:40.200 There is a new trend sweeping the young black community where young men are rejecting gangbanger culture.

01:19:46.820 And instead of selling quarter zips, they're wearing quarter zips.

01:19:51.500 You know, after 19 years in this world, for the first time in my life, I feel accomplished.

01:19:57.900 Thank you.

01:19:58.600 Amen.

01:19:59.580 Accomplished.

01:20:00.100 Good evening.

01:20:01.160 Presentable.

01:20:02.080 Productive.

01:20:02.640 Efficient.

01:20:03.160 These are all the qualities that come from putting on clothing such as these.

01:20:07.420 Isn't that good?

01:20:08.480 Yeah.

01:20:08.800 So the YNs are wearing quarter zips, and it's kind of a bit, but it's happening on TikTok, and it's spreading. 0.95

01:20:14.180 And is it a good thing?

01:20:15.600 Is it just good because they are getting more presentable? 0.99

01:20:17.780 Or are these just Nike tech motherfuckers who are going to blend in and still suck a punch an old lady? 1.00

01:20:23.160 It actually could be more dangerous now that you see a well-dressed black person, you might assume that they're going to attack or rob you. 1.00

01:20:29.280 Yeah.

01:20:29.780 So it's like, it actually makes us-

01:20:31.540 They're ruining it for the guys who are real, the Steve Urkels of the- 0.95

01:20:34.160 Yeah, you're making people actually racist now where every black person could rob you. 1.00

01:20:38.220 We have another clip here. 0.86

01:20:39.800 Another thing.

01:20:40.360 Us QZ guys, we don't spend our time brain rotting, playing video games, shopping at Walmart.

01:20:46.320 No, we spend our time at Barnes & Noble's, reading books, extending our vocabulary.

01:20:51.600 When's the last time you finished a book?

01:20:53.360 Seriously.

01:20:54.440 Ask yourself, when?

01:20:55.500 In all seriousness, next-

01:20:56.480 I kind of like this.

01:20:57.480 I like these guys, yeah.

01:20:58.680 This is funny.

01:20:59.140 No, this one has no volume, but this guy's doing a bit where he's showing his old outfit versus new outfit.

01:21:05.160 We'll play it at 2X speed.

01:21:06.840 So here's him with his hand in his pants, wearing the red on red.

01:21:09.760 Now he's got pants.

01:21:10.880 He's ironing the pants.

01:21:12.460 Those are gone.

01:21:14.060 Boots.

01:21:14.640 Got boots.

01:21:16.120 And he's got a quarter zip.

01:21:17.280 And he's got some button-down, a belt, a tie, and the quarter zip.

01:21:24.280 And now he's a whole new guy.

01:21:25.920 And a watch.

01:21:26.800 You know what's funny? 0.98

01:21:27.480 White people who seem to emulate black culture are a certain type of low-class person. 0.95

01:21:32.980 And usually not someone I'd want to hang out with.

01:21:35.300 But black people who like and appreciate and emulate white culture, they're usually swell guys.

01:21:41.120 Yeah.

01:21:41.660 There's an interesting thing.

01:21:42.920 That's very true.

01:21:43.660 And it should be more you towards us.

01:21:45.660 We have a great culture.

01:21:46.640 It's very true.

01:21:47.820 Look at the Oxford-collar button down.

01:21:49.660 Yeah.

01:21:50.560 Welcome.

01:21:51.480 This is cool.

01:21:52.360 You know how many quarter sips I own?

01:21:53.960 Several.

01:21:54.780 Yeah.

01:21:55.260 And they're not a bit.

01:21:56.420 Yeah.

01:21:56.680 It's not a bit.

01:21:57.940 This is what real life is.

01:21:59.540 Yeah.

01:22:00.160 And we'll show one more.

01:22:01.900 Yeah.

01:22:02.220 We're kind of done here.

01:22:03.200 You guys get it.

01:22:06.440 Oh.

01:22:07.600 Yo, my fault, my dog.

01:22:09.100 My fault.

01:22:09.480 Whoa, whoa, whoa.

01:22:11.080 Hands thing, bro.

01:22:11.900 Yeah.

01:22:12.360 Slow down.

01:22:14.160 Nice to meet you.

01:22:17.420 Pleasure to meet you.

01:22:18.240 This is what we do now.

01:22:19.180 So this is the bit.

01:22:20.440 They're all just acting white, and it's pretty funny. 0.88

01:22:22.440 Well, it's good.

01:22:23.200 Yeah.

01:22:23.560 I like it.

01:22:24.340 Act.

01:22:24.720 It's kind of like a fake it till you make it thing.

01:22:27.020 Eventually, you're going to be a nice, disciplined, and respectful young man.

01:22:30.780 And then you go get a job.

01:22:32.700 Stop.

01:22:33.920 And you go get a job.

01:22:35.060 And then they go, yeah, let's hire this guy.

01:22:38.860 Got it.

01:22:40.060 All right.

01:22:40.420 Moving on.

01:22:40.960 We're moving on to Uphletsic Gold.

01:22:42.320 All right.

01:22:42.520 There was just, I saw two bugs at once. 1.00

01:22:44.580 You're fucking going crazy, man. 1.00

01:22:45.640 And I got it, but I had to. 1.00

01:22:48.200 I've been blowing these things all day.

01:22:50.060 All right.

01:22:50.480 Don't get too down or too depressed.

01:22:51.720 Moving on to Uphletsic Gold.

01:22:52.700 There's uplifting stuff today.

01:22:54.200 First, we have the last sunset in a certain spot in Alaska.

01:22:58.940 Utkivik Baro, Alaska.

01:23:02.100 So there's a, I would say Baro.

01:23:04.180 Sounds like they're trying to get a native name.

01:23:05.900 So we can just fast forward it.

01:23:09.640 There's no audio, but we just fast forward.

01:23:12.180 This is the last sunset.

01:23:13.320 And then it goes dark for, I believe, 60 days.

01:23:16.080 So there's no sun comes up for 60 days.

01:23:18.420 Imagine that trans boy in this town, how depressed he'd be.

01:23:22.980 Really alone.

01:23:24.120 Eating seal meat just to be around people.

01:23:27.840 All right.

01:23:28.160 Next, this is a seaplane taking off.

01:23:30.200 We're going to play it at 2X speed because it takes a while.

01:23:33.140 But it's kind of cool.

01:23:34.580 Here it goes.

01:23:35.360 It's in the water.

01:23:37.640 And you're kind of looking at it like, what's this about to do?

01:23:41.420 The wings are up high and it's got the pontoons on it.

01:23:46.680 This is, it's like a boat.

01:23:48.740 Yeah, that's cool.

01:23:50.220 But why?

01:23:51.680 You know, I guess it's destination.

01:23:53.480 It needs to land in water. 0.95

01:23:56.120 Couldn't you just kind of botch the landing and then boom, you're basically crashing the plane.

01:24:00.240 Reminds me of Sully.

01:24:01.660 Sully would land that.

01:24:03.040 He could land that.

01:24:03.920 All right. 0.99

01:24:04.860 Next, we showed this guy who wears the women's outfit and pulls his balls out and wears the sissy shirt. 0.99

01:24:10.760 Where is this? 0.99

01:24:11.560 Do you know?

01:24:12.140 I don't recognize.

01:24:13.360 I don't know.

01:24:14.320 It might be Portland.

01:24:15.320 Okay.

01:24:15.900 Or Seattle.

01:24:16.760 I don't know.

01:24:17.280 But the guy is at Griffey Cohen, G-R-I-F-F-Y-C-O-H-E-N. 0.95

01:24:22.860 He's been doing really good.

01:24:24.400 He's the one who confronted him in the last clip we showed a couple episodes ago.

01:24:27.260 Okay.

01:24:27.460 And this is a funny bit.

01:24:32.080 Hey, you're giving guys who dress like this a bad name around here.

01:24:35.840 All right? 0.92

01:24:39.780 Getting the same sissy thing from Amazon. 0.98

01:24:42.840 Saying you're giving them a bad name. 0.98

01:24:44.520 All right.

01:24:45.440 Next, this pastor, I believe in Africa, heals this woman's swollen legs with a miracle.

01:24:51.220 Wow.

01:25:05.900 So it's all just AI?

01:25:07.520 Happy for her.

01:25:08.520 No, I think she got better.

01:25:10.920 All right.

01:25:11.540 All right.

01:25:12.180 Next, our Pure Americana clip of the week.

01:25:14.480 We have the Toyota CEO who's a real MAGA guy.

01:25:21.220 So he's at a track, some Toyota cars.

01:25:29.060 He's wearing the MAGA hat and the Trump and Vans shirt, which is very cool.

01:25:32.600 We have another picture here of kind of how he dresses and what he looks like, which is very cool.

01:25:36.780 And he likes it.

01:25:37.560 He's not just doing it for fun.

01:25:38.940 He loves it.

01:25:39.940 And we have even better news.

01:25:41.700 He doesn't hire any H-1Bs.

01:25:43.780 Yeah.

01:25:44.460 Zero H-1Bs. 1.00

01:25:45.820 You know, I think Japan, you know how people, the Babylon B types, they say, 1.00

01:25:50.640 Israel's our greatest ally.

01:25:52.340 I think Japan's up there. 0.70

01:25:54.280 France.

01:25:55.640 Japan is up there, though.

01:25:56.740 Japan is up there. 0.94

01:25:57.620 They're grinding.

01:25:58.520 Things changed since 1945.

01:26:00.500 And they're not trying to flood us.

01:26:02.040 Yeah.

01:26:02.240 They're not trying to, oh, we got to come, bring more Japanese in, look out for us.

01:26:05.520 They don't even ask for anything.

01:26:06.580 Yeah.

01:26:06.880 They go, how can we help you?

01:26:07.980 Oh, Toyota.

01:26:08.740 They do a good business deal together.

01:26:10.060 Yeah.

01:26:10.460 Both prosper.

01:26:11.620 Mutual.

01:26:12.320 Mutual prosper.

01:26:13.200 Shinzo Abe.

01:26:14.320 Shinzo Abe.

01:26:15.100 Come on. 0.66

01:26:15.520 And that's why they killed him. 0.84

01:26:16.480 Yep. 0.95

01:26:17.000 All right.

01:26:17.200 Well, that's the end of the episode.

01:26:17.940 We do have some shout outs.

01:26:19.240 Congrats to Riley and Ian, who are expecting their first new show watcher.

01:26:23.720 Congratulations.

01:26:24.580 That's very cool.

01:26:25.500 Very happy.

01:26:26.260 God bless you guys.

01:26:27.640 Happy birthday to Lily, who turned one today. 1.00

01:26:30.120 Here's her watching the show. 1.00

01:26:32.020 You've been watching since before she was born.

01:26:34.700 You know, getting a first birthday shout out, you know, I guess it's more for you, the parents.

01:26:40.980 Lily doesn't understand anything, right?

01:26:42.820 Maybe.

01:26:43.160 First birthday.

01:26:44.180 I think there's an Inception thing happening there.

01:26:46.520 Yeah.

01:26:47.200 Where we're on the show and then there's a baby watching the show.

01:26:50.760 So I think it's a second, no, it's the second born.

01:26:55.760 Yeah.

01:26:56.100 So the first baby watched the show and was raised up on the show so far.

01:27:00.000 Now there's a new baby being raised up on the show and there's like four episodes in

01:27:03.860 one shot.

01:27:04.760 Well, shout out to the parents.

01:27:05.920 That's very cool.

01:27:07.000 Happy birthday to the baby.

01:27:07.780 Congrats to you guys on all the babies and everyone's watching the show.

01:27:10.440 That makes my day.

01:27:11.620 Shout out to Laura D from Ocala. 1.00

01:27:14.780 Her boyfriend, Tyler, introduced her to the show and she was kind of a little more left

01:27:19.040 leaning.

01:27:19.880 And now she's coming around because we make so much sense.

01:27:23.620 That's the second person to say that they kind of red pilled their girlfriend, right?

01:27:27.640 Recently?

01:27:28.540 Laura D from Ocala.

01:27:30.500 Salt gun.

01:27:31.480 Laura D.

01:27:32.460 Salt gun.

01:27:33.740 Protect you from...

01:27:34.660 Hey, Laura D.

01:27:36.640 We're not even that bad.

01:27:37.760 We're just kind of like pointing out reality, right?

01:27:40.380 Aren't some people a little worse than others? 0.99

01:27:42.980 Aren't some cultures a little fucked up? 1.00

01:27:45.100 Does anything we say really not make sense and come from a hateful place? 0.99

01:27:49.520 I don't think so.

01:27:50.360 I think we're making some jokes and, you know, maybe you got a little ramped up because some

01:27:55.100 people lied to you or really made abortion seem important.

01:27:58.120 George Floyd.

01:27:58.760 It's not that important.

01:28:00.200 George Floyd wasn't that good of a guy. 0.99

01:28:01.840 George Floyd was a rat. 0.86

01:28:02.660 All right, well, happy birthday and thank you for watching to everybody. 0.90

01:28:08.200 And there's a 30-minute bonus land dropping tomorrow.

01:28:10.500 So if you guys want on a weekend watch or maybe you can watch it on Monday, you can save

01:28:14.640 it and you can position your week in a way where you watch bonus land on Monday, the

01:28:18.800 episode Tuesday, the bonus land on a Wednesday, the episode Friday.

01:28:23.120 You're watching every day, basically.

01:28:24.640 Yep.

01:28:24.980 Sounds good.

01:28:25.600 So please sign up.

01:28:26.380 Fluggistalks.com is the website.

01:28:28.160 And thank you guys for watching all the way through.

01:28:30.060 We'll see you at bonus land tomorrow.

01:28:32.660 We'll see you at bonus land tomorrow.

01:29:02.640 We'll see you at bonus land tomorrow.

01:29:04.460 We'll see you at bonus land tomorrow.

01:29:08.860 Cause Flickers and Redboy just uploaded the show

01:29:14.140 Flickers Toast, Flickers Toast

01:29:18.440 Give it up to the world's best host

01:29:22.540 Flickers Toast, Flickers Toast

01:29:25.800 Choose the outcome and take all the posts

01:29:30.460 The only way the show can be defined

01:29:36.260 The best news podcast of all time

01:29:44.160 On the last page of housekeeping we're letting Flickers cook

01:29:54.760 There's a new alien spin, Redboy shoots him a look

01:30:02.220 It's exactly what the feds wouldn't want you to see

01:30:09.560 But it could be a distraction and that rings true to me

01:30:18.200 Flickers Toast, Flickers Toast

01:30:21.240 Give it up to the world's best host

01:30:24.120 Flickers Toast, Flickers Toast

01:30:28.120 Flickers Toast, Flickers Toast

01:30:33.120 The only way the show can be defined

01:30:41.020 The best news podcast of all time

01:30:48.020 We're yapping in the comments.

01:30:51.980 We're yapping in the comments.

01:31:00.280 Don't get too down or too depressed.

01:31:04.300 From cringe of the week and urban decay.

01:31:07.980 This uplifting gold and fleckish pets getting trolled.

01:31:11.700 Coming up to bite in your day.

01:31:14.200 The only way the show can be defined.

01:31:22.200 The best news podcast of all time.

01:31:28.200 It's the real best to keep the P.O. box full.

01:31:32.200 We won't stop till the world is rid of all the pit bulls.

01:31:39.200 If more fleckish content is what you demand.

01:31:47.200 Then just make sure you're subbed to bonus land.

01:31:55.200 The only way the show can be defined.

01:32:03.200 The best news podcast of all time.

01:32:11.200 The only way the show can be defined.

01:32:19.200 The best news podcast of all time.

01:32:25.200 We're watching old episodes.

01:32:33.200 Yeah, watching old episodes.

01:32:37.200 We're facking stocks, facking stocks.

01:32:39.200 Buying chip cards and trading stocks.

01:32:43.200 Facking stocks, facking stocks.

01:32:46.200 We're still kicking over stacked rocks.

01:32:52.200 The only way the show can be defined.

01:32:58.200 The best news podcast of all time.

01:33:04.200 Facking stocks, facking stocks.

01:33:06.200 Words are just words until action actually starts.

01:33:10.200 Facking stocks, facking stocks.

01:33:12.200 And action speaks louder than words.

01:33:16.200 We're not going to do this.

01:33:20.200 Well, no, no.

01:33:21.200 I'm about to call my Facebook because, see, I'm not sure.

01:33:23.200 Listen, you were a trespasser from here?

01:33:25.200 No, I'm not a trespasser.

01:33:26.200 Hold up, hold up, hold up.

01:33:27.200 Can somebody help me?

01:33:28.200 Let's go.

01:33:29.200 Somebody from United States, please?

01:33:31.200 Did you get your time?

01:33:32.200 No, no, no, no.

01:33:33.200 Taylor.

01:33:34.200 I'd love to have you.

01:33:35.200 We're all like, you know,

01:33:36.200 You can walk in.

01:33:37.200 It's going to be my turn.

01:33:38.200 We'll be right back.

01:33:39.200 Come on.

01:33:40.200 Bye.

01:33:41.200 Bye.

01:33:42.200 Bye.

01:33:43.200 Bye.

01:33:44.200 Bye.

01:33:45.200 Bye.

01:33:46.200 Bye.

01:33:48.200 Bye.

01:33:49.200 Bye.

01:33:50.200 Bye.

01:33:51.200 Bye.

01:33:52.200 Bye.

01:33:53.200 Bye.

01:33:54.200 Bye.

01:33:55.200 Bye.

01:33:57.200 Bye.

01:33:58.200 Bye.

01:33:59.200 Bye.

01:34:00.200 Bye.

Fleccas Talks Podcast - November 21, 2025

EXPOSED： SOMALIS IN MN ARE SCAMMING YOUR TAX DOLLARS TO FUND TERRORISM

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Transcript