Fleccas Talks Podcast - AMAZON WORKER CAUGHT DOING THE UNTHINKABLE

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00:00:30.980 Broadway's smash hit, The Neil Diamond Musical, A Beautiful Noise, is coming to Toronto.

00:00:36.800 The true story of a kid from Brooklyn destined for something more,

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00:01:00.540 All right.

00:01:01.500 Welcome back to Fluckus Talks, the podcast episode 333.

00:01:05.500 Today on the show, war with Iran has begun again.

00:01:09.980 We're going to go over the details there.

00:01:11.720 Then, Nab from Fresno called me hateful because of my comments from last episode,

00:01:16.260 so we're going to address that.

00:01:17.960 Then, everyone is feeling bad for themselves and cringe of the week.

00:01:20.940 And last but not least, in Urban Decay, we have another fake hate crime, this time at Chipotle.

00:01:27.720 All this and more.

00:01:28.740 It's Fluckus Talks, the podcast episode 333.

00:01:31.660 Ranked the best news podcast of all time.

00:01:35.320 Because words are just words until action actually starts.

00:01:42.460 And actions speak louder than words, but at the same time, words speak louder than actions

00:01:46.900 because sometimes it's the right thing to do.

00:01:48.860 It's the right thing to do.

00:01:50.020 Very cool.

00:01:51.080 Very cool.

00:01:51.640 It's Fluckus Talks, the podcast featuring Richard.

00:01:55.340 All right.

00:02:02.460 One for one on the intro, as always.

00:02:04.980 Guys, I don't know about you, but during the break, my diet and health routine kind of went

00:02:09.760 off the rails.

00:02:11.100 Candy, cake, Chinese, late night ordering pizza, stuff like that.

00:02:14.860 Desserts.

00:02:15.440 Lots of desserts.

00:02:16.500 It got pretty bad pretty fast.

00:02:18.460 But now that we're in the new year, it's time to reset and get back on track.

00:02:23.520 Let's undo all that.

00:02:24.700 And for a new year's resolution, let's actually give our bodies what it needs.

00:02:28.340 And for me, this fresh start starts with Cove Pure.

00:02:31.280 Here's the thing.

00:02:32.200 Everyone starts the new year with new diet routines, workouts, supplements, all of these

00:02:37.100 things.

00:02:37.660 But they ignore the most basic thing that is the most important.

00:02:40.800 The water we're drinking.

00:02:42.400 Even mild dehydration impacts energy, focus, and metabolism.

00:02:45.860 And when you think about all the garbage that's in our water, you're starting behind the curve

00:02:49.780 before you even begin.

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00:03:08.760 And what I like most about Cove Pure is it makes water taste good.

00:03:12.100 It's clean, it's crisp, it's refreshing, and I've actually been drinking more water lately

00:03:16.860 and I've been cutting back on my diet sodas.

00:03:19.060 Another plus is it sits right on your countertop.

00:03:21.420 You don't need to install special hoses or drill holes or call a plumber.

00:03:25.440 You just plug it in and you're good to go.

00:03:27.820 Fresh water is on the way.

00:03:29.540 Cove Pure makes it easy to get pure water with just the push of a button.

00:03:33.040 So this year, let's make a New Year's resolution that actually sticks.

00:03:36.520 Let's improve our health by improving our water.

00:03:39.680 Right now, you can get $200 off for a limited time when you use my Cove Pure link.

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00:03:58.040 And let's get back on track for the New Year.

00:04:00.240 Thank you to Cove Pure for sponsoring.

00:04:01.960 Let's get into housekeeping.

00:04:04.240 All right.

00:04:04.920 Thank you to Cove Pure for sponsoring.

00:04:06.520 Thank you, Cove Pure.

00:04:07.660 As you guys know, as I mentioned a few episodes ago, I completely cut out Diet Cokes and Frescas.

00:04:12.760 Believe it or not, I'm at zero.

00:04:14.540 And now I'm just ripping Cove Pure.

00:04:16.480 And it tastes better.

00:04:17.580 And I'm getting less puffy, less inflamed.

00:04:20.380 Oh, OK.

00:04:21.060 I actually do feel really good.

00:04:22.520 Good for you.

00:04:23.060 How's everyone doing?

00:04:24.280 I'm good.

00:04:25.120 I'm going to skip the puffy and inflamed comment.

00:04:27.600 I could have swung on you there for no reason.

00:04:29.860 But I'd hate to do that with a sponsor involved, you know?

00:04:32.740 Yeah, you can't.

00:04:33.440 I can't do that.

00:04:34.320 So I'm good.

00:04:35.760 Episode 333.

00:04:37.760 Episode 333 on 3.3.

00:04:41.180 We were required to do that from our Illuminati handlers.

00:04:44.660 From the handlers above.

00:04:46.360 And Fleckes kept telling me.

00:04:47.620 And well, I'll read this.

00:04:48.700 The lunar eclipse peaks on 3.3 at 3.33 a.m.

00:04:53.100 The implications are dire.

00:04:55.020 And Fleckes keeps coming up to me and telling me about episode 3.33 on 3.3.

00:04:59.640 It's crazy.

00:05:00.480 How crazy is that?

00:05:01.320 And I go, yeah, it's a coincidence.

00:05:03.160 It's lucky or unlucky, whatever you care.

00:05:05.760 And he goes, no, but isn't it crazy?

00:05:07.440 Like, there's some extra leg where I have to believe more.

00:05:10.760 And I just don't.

00:05:12.000 It's a coincidence.

00:05:12.960 That's the end.

00:05:13.840 There are no coincidences.

00:05:15.420 You call it coincidence.

00:05:16.520 I call it a God wink.

00:05:17.660 Some people call it synchronicity or, like, a simulation glitch.

00:05:21.640 Yeah.

00:05:21.860 I say it's a God wink.

00:05:23.200 And thank you, God, for the sign.

00:05:25.160 We will continue down this path you've laid out.

00:05:27.840 The only time there are no coincidences is in, like, a murder investigation.

00:05:32.200 That's when I'll say, yeah, it's more than a coincidence.

00:05:35.180 But think about all of the- 0.99

00:05:36.600 Random number shit. 0.99

00:05:37.300 But think about all the things that led to this, like, every vacation we took, how the 0.99

00:05:42.100 calendars laid out, times we missed a random episode when people were feeling sick or, you

00:05:47.100 know, taking a trip or something.

00:05:48.820 And then, all of a sudden, it's episode 333 on 3-3.

00:05:52.980 It ends in a coincidence.

00:05:55.340 Yes.

00:05:55.820 That's how it goes.

00:05:56.900 You guys know what it is.

00:05:58.500 I think numerology people get a little crazy.

00:06:01.980 They talk in a way that is right past me.

00:06:05.920 Like, oh, yeah, 1056.

00:06:07.280 And you know what that is?

00:06:08.000 Divided by two?

00:06:09.260 It's like, I don't know how you're getting there, man.

00:06:11.060 Yeah, I could probably do some math, too.

00:06:12.520 I'm not gonna.

00:06:13.620 I'm just living in reality.

00:06:15.000 But sorry, I'll let you enjoy it.

00:06:17.300 It is a big coincidence.

00:06:18.520 It is a crazy coincidence.

00:06:19.720 Sure.

00:06:19.960 And imagine if we were, like, a baseball podcast and it was episode 333 on 3-3.

00:06:25.280 It's like, eh.

00:06:26.540 Like, we are a podcast that talks about conspiracies and politics.

00:06:29.640 And it's 3-3-3 on 3-3?

00:06:32.100 Sure.

00:06:32.680 Crazy. 0.58

00:06:33.180 Sure, sure. 0.89

00:06:33.780 Crazy.

00:06:34.260 All right.

00:06:34.620 All right, let's get into the show.

00:06:35.760 Obviously, the main story of the day is gonna be Iran.

00:06:38.800 We're gonna talk about that in a few minutes.

00:06:40.800 I wanted to point some stuff out first.

00:06:44.320 Okay.

00:06:45.920 It's like, I wanna point some, whoa, stuff out first.

00:06:49.760 Getting speed wobbles on the highway.

00:06:51.740 The speed bumps.

00:06:52.620 Boom, boom, boom, boom, boom, boom, boom.

00:06:54.160 The Minnesota fraud stuff, we've obviously been covering that a lot.

00:06:57.940 And I wanted to point to this graph because it kind of blew my mind.

00:07:02.140 Yeah.

00:07:02.320 And we had covered the explosive growth that was talked about for the autism funding in

00:07:08.200 the state of Minnesota.

00:07:08.840 We've already covered this before.

00:07:10.220 But starting with 2017, where it was a million dollars reimbursed, and then 6 million in 2018,

00:07:17.480 to end all the way at $343 million from the Department of Human Services for autism.

00:07:25.620 Autism program repayments.

00:07:27.460 And instead of being like, what happened?

00:07:29.900 How did all these kids get autistic?

00:07:31.960 You know, like, we need to test the water.

00:07:34.220 We need to test the vaccines.

00:07:35.940 They just kept paying it out.

00:07:37.080 And this was all during Tim Walz's control of the state.

00:07:41.220 Yeah, Tim Walz got in in 2018.

00:07:43.360 Yeah.

00:07:43.640 And before that, it was about a million a year.

00:07:45.900 Then his first year, 6 million.

00:07:47.240 And by the end, 343 million.

00:07:50.520 35,000% increase. 0.98

00:07:52.880 So either in on it or a retarded governor. 0.99

00:07:55.900 And it's your choice. 0.99

00:07:57.060 You can make the choice.

00:07:58.020 I go with a mix of both.

00:08:00.120 He's half in on it and then half, nobody's going to notice this, right? 0.99

00:08:04.180 I think they put him in because he's a retarded governor. 1.00

00:08:07.080 And then that makes it easier to make him in on it. 0.99

00:08:09.260 For sure.

00:08:09.800 So I think that's what it was.

00:08:11.040 He was never an honest guy, allegedly.

00:08:13.640 And while he was helping the Somali scam and get their money, Minnesota was actually declining.

00:08:20.420 We have some stats here from basically on the right.

00:08:24.440 It's 2019 to 2024.

00:08:26.420 GDP growth, job growth.

00:08:27.840 Can you read some of those?

00:08:28.680 Yeah, it went down labor force growth, per capita income growth.

00:08:32.080 It basically declined in every single metric and in a big way.

00:08:37.380 So it went from 18th to 33rd, 20th to 39th, 22nd to 40th.

00:08:42.600 And I think Minnesota, we had talked about before, had a nice budget surplus.

00:08:46.760 They spent all that.

00:08:47.620 And definitely part of it on the autism.

00:08:50.000 If you've seen it went from 1 million to 343, that's a 343X.

00:08:54.680 Investors are dreaming of that type of return everywhere.

00:08:57.000 And unfortunately, it just went right to the pockets of Somalis.

00:09:00.100 Yeah.

00:09:00.440 And then these are the rankings within the United States.

00:09:03.360 Out of 50 is the key, 39th, 40th, 46th.

00:09:07.560 That's all bad out of 50.

00:09:09.060 Yeah, that's near the bottom.

00:09:10.380 Very much near the bottom.

00:09:11.540 And then the education system got worse too.

00:09:14.640 Tim Walts comes into office in 2018 when things are pretty high.

00:09:17.820 Yeah.

00:09:18.120 Before the decline starts.

00:09:19.460 Overall proficiency rates have remained steady in recent years.

00:09:23.160 Less than half of all students met grade level expectations in math and reading.

00:09:26.500 And yeah, it just went down and then bottomed right in the middle or towards the end of COVID

00:09:32.180 and now has steadied out.

00:09:33.420 And they're like, okay, it's steadied out.

00:09:35.460 Thank God.

00:09:36.120 It's steadied out at way down.

00:09:37.900 But at least the Somalis got their scam dollars and Tim Walts keeps getting elected. 1.00

00:09:41.560 Yeah, for sure.

00:09:42.500 We have some news out of Arizona about SNAP benefits.

00:09:46.180 We'll let this guy explain it.

00:09:48.180 We're outside the state capitol tracking how lawmakers are dealing with a reported drop

00:09:52.820 in food assistance for roughly 380,000 families across Arizona.

00:09:58.340 New data shows over 41% of Arizonans have lost their SNAP benefits due to strict new federal laws.

00:10:05.120 Congress agreed last July on a funding plan which requires more adults to work to keep their benefits.

00:10:11.420 Governor Hobbs is now proposing a budget that would increase staffing and funding for the SNAP program.

00:10:16.700 Arizona lawmakers have yet to agree on a plan that would help thousands of families across the state.

00:10:22.820 So down 41%, 41% of people are now off SNAP because of the new restrictions

00:10:28.600 and the making it harder to get it, which sounds good.

00:10:32.200 But unfortunately, there was a 100% increase during COVID.

00:10:35.880 So we're down 40% after the 100% increase from six years ago.

00:10:40.020 Yeah, this chart we've shown before, federal food stamp spending in billions.

00:10:44.780 And you see the straight line up during the COVID time.

00:10:47.320 And it also evened out at the new higher number.

00:10:50.880 So unfortunately, this is good.

00:10:52.440 That was part of the one big beautiful bill, which the main thing they did was just say,

00:10:57.220 all right, we're tightening it up for able-bodied adults who can work, who are really ripping us off. 1.00

00:11:02.420 Basically lifers who are underemployed or not motivated to get it, but they're able-bodied.

00:11:08.740 And then that included some minimum hours worked per week as well.

00:11:12.600 So just to get us back to where we were before the country got looted, right?

00:11:17.060 Yeah, exactly.

00:11:17.860 And we're still above what it was, you know?

00:11:20.080 So it's one of those things we talked about where we're not in a golden age.

00:11:24.440 We're just slowing down the bleeding.

00:11:26.060 And that's like a perfect example of exactly that.

00:11:28.680 Totally.

00:11:29.040 And it's good.

00:11:29.580 It's better politics, you know?

00:11:30.860 Able-bodied adults. 0.99

00:11:31.760 No American really signed up to support an able-bodied adult.

00:11:36.060 When was that written?

00:11:37.340 When was that voted on?

00:11:38.480 Never really was.

00:11:39.640 But it happens all the time.

00:11:41.020 Especially when the able-bodied adults aren't even American. 0.90

00:11:44.000 They just came here from wherever. 0.99

00:11:45.880 Yeah.

00:11:46.100 And that was part of it too.

00:11:47.200 The one big, beautiful bill needed citizenship.

00:11:51.080 So that's also part of it.

00:11:52.780 Another stat I saw, which I thought was interesting, came out of Michigan.

00:11:55.820 It says there's 280,000 illegals approximately, and there's 190,000 home housing shortage.

00:12:03.000 Yeah.

00:12:03.540 So it's funny how that works.

00:12:04.960 Indiana Jones, that.

00:12:06.580 Get the illegals out and the shortage up. 1.00

00:12:08.780 And all of a sudden we're back, you know?

00:12:10.200 All right, let's wrap this section up.

00:12:11.960 Last episode, remember we mentioned how the Democrats always allude to the 11 million,

00:12:16.940 10 to 12 million illegals?

00:12:19.020 Chuck Schumer mentioned that.

00:12:20.560 He calls for a path of citizenship for 11 million illegal immigrants already in the U.S.

00:12:24.840 I found this document from 1975 and listened to what they say when it comes to total number

00:12:30.280 of illegals.

00:12:31.320 10 to 12 million aliens living illegally in this country.

00:12:35.180 That's what it says.

00:12:35.920 That was like 50 years ago.

00:12:37.360 1975.

00:12:38.540 You know how long ago that was?

00:12:39.720 Yeah, and keep in mind, like more than 10 million illegals came in recently just under

00:12:44.940 Joe Biden alone.

00:12:45.860 Yeah.

00:12:46.420 Yeah.

00:12:46.700 So they keep faking it.

00:12:48.360 So we want to do it.

00:12:49.320 We want to talk amnesty.

00:12:50.580 All right.

00:12:50.980 It's the same thing.

00:12:51.720 We the joke we made last week.

00:12:52.840 Everyone raise your hand.

00:12:53.780 Who's here?

00:12:54.460 Let's figure out how many there are.

00:12:56.260 And it's not 10 to 12 million, guys.

00:12:58.280 It's going to be 60.

00:12:59.820 Yes.

00:13:00.120 All right.

00:13:00.980 Let's get to who I ran.

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00:14:02.280 Obviously, the story of the week.

00:14:04.320 Another war episode.

00:14:05.840 Another war podcast.

00:14:06.920 I hate the war podcast.

00:14:07.940 We don't like war podcasts.

00:14:09.920 But I want to start off with the tweet I thought was funny.

00:14:12.940 I'm not mad we blew up the Ayatollah. 1.00

00:14:14.820 I'm just resentful that it helped Israel. 1.00

00:14:18.140 And that does resonate with me.

00:14:20.640 Like, I don't like endless wars.

00:14:23.420 I don't think that's what this is going to be.

00:14:25.120 But I hate being on the same side as happy Lindsey Graham and happy Netanyahu. 0.50

00:14:29.160 Yeah.

00:14:29.700 Happy Mark Levin.

00:14:31.040 He's been screaming all day.

00:14:32.200 And now it's the only time he can't.

00:14:33.560 He's not screaming.

00:14:34.200 He's like comfy.

00:14:34.920 This is like a warm bottle of milk for him.

00:14:37.260 Invading Iran is a warm bottle of milk for Mark Levin.

00:14:40.080 Right?

00:14:40.240 So I'm not.

00:14:40.880 Yeah.

00:14:41.440 He like gets in his comfy bed and he goes to sleep.

00:14:43.680 Finally, he got what he wanted.

00:14:45.360 And this has been years in the making.

00:14:47.020 And I'm not pro Ayatollah, obviously.

00:14:50.000 Yeah.

00:14:50.300 But everyone's saying, oh, we're liberating the people of Iran.

00:14:53.060 We need to liberate the people of Frisco, Texas.

00:14:55.220 Yeah.

00:14:55.480 Dearborn, Michigan needs some liberation.

00:14:57.460 Minneapolis needs liberation.

00:14:58.980 I think we got a lot of stuff to work on.

00:15:01.880 Yeah.

00:15:02.100 And you're right.

00:15:03.180 Well, let's get into it first.

00:15:04.600 Because Marco Rubio just did a press conference yesterday basically talking about how this was the U.S. getting in on it with Israel because they knew Israel was going to attack or they were going to launch an op.

00:15:18.120 And then the response from Iran would be to bomb American bases in the countries surrounding it. 0.81

00:15:24.460 Right?

00:15:24.800 Or Iran. 0.63

00:15:25.400 Did I say Iraq?

00:15:27.100 Anyway, so this was basically Israel's op that we said, all right, we'll get in on it too because we know we're going to be part of the fallout.

00:15:33.940 So we want the op to be more defeating to Iran so that when they hit us back, it's not as bad, right? 1.00

00:15:42.980 And so like that tweet, it's not only that we're on the same side as Israel or it helped out Israel.

00:15:50.140 It's like we followed their lead on this conflict.

00:15:52.700 And so not very good.

00:15:56.060 And yeah, there is like this – once the fallout happened, like the attack happened, there's no stopping it, right?

00:16:02.000 There's no going back in time.

00:16:03.400 But now everyone is like we just liberated so many Iranians and we're liberating these people. 0.99

00:16:08.600 And it's like I don't fuck with that. 0.99

00:16:11.020 I wasn't interested in that. 0.99

00:16:13.100 That's 5,000 miles away in the Middle East.

00:16:15.180 It's not really in my purview, right?

00:16:17.320 Yeah, it's true.

00:16:18.120 And yeah, I don't want to get too ahead of myself.

00:16:20.780 Yeah, and then also all these people are going to become refugees. 0.84

00:16:23.760 And then it's easy to say, oh, these refugees, where are they going to go, Europe? 0.98

00:16:27.460 They already did that. 0.67

00:16:28.480 Straight to Europe on boats.

00:16:29.780 They wouldn't even notice if you spread Iran out all throughout Europe. 0.99

00:16:33.100 They already did that. 0.67

00:16:34.480 There's 50 million Muslims in Europe already.

00:16:36.640 Yes.

00:16:37.060 We have some clips of missiles.

00:16:39.120 Yeah.

00:16:39.340 Let this one go.

00:16:41.060 That's good missling.

00:16:42.200 Whoa, did you see that?

00:16:44.360 That was fast.

00:16:49.160 They're ripping.

00:16:50.360 Yeah, crazy.

00:16:51.220 It goes crazy.

00:16:52.300 Missiles.

00:16:52.940 Don't mess with missiles.

00:16:54.000 Missiles will get you. 0.98

00:16:55.340 They'll kill you. 0.99

00:16:55.900 Yeah. 0.94

00:16:56.680 And then someone said, going to be a suitcase nuke attack on U.S. soil because Kash Patel skipped an emergency briefing to ride the gravedigger.

00:17:03.980 What is that, a monster truck?

00:17:05.360 It's the monster truck.

00:17:06.620 Okay.

00:17:07.160 So I thought that was just funny.

00:17:08.260 Yeah, yeah.

00:17:08.620 We have another missile here.

00:17:10.100 This is a drone heading into a civilian building in Dubai.

00:17:13.320 That's crazy.

00:17:19.060 Echo's hard.

00:17:19.700 Could have been you.

00:17:20.660 Yeah.

00:17:20.920 That's wild.

00:17:21.660 Five floors above you, right?

00:17:23.100 And then we have another example of missiles here with some advanced technology.

00:17:32.980 These were Iranian missiles, right?

00:17:35.980 Retaliatory.

00:17:36.800 I think so.

00:17:37.660 That was in Jerusalem, right? 0.93

00:17:43.620 Crazy.

00:17:44.880 And then we have a picture of a missile, an advanced missile here, and we have some context as to what it is and what it does.

00:17:52.100 Yeah, and I think this is speculation, but somebody said, looks like warheads reentering accompanied by large numbers of penetration aids.

00:18:00.180 This is something new from Iran.

00:18:01.880 And so I think that's kind of like distractions, little penetration aids, things that will take up the defensive mechanisms of Israel, like the Golden Dome. 0.57

00:18:11.560 Yeah.

00:18:11.760 It'll kind of distract it is what it looks like to me.

00:18:13.460 I'm not positive on that, though.

00:18:15.020 We do have some context and explanation of that.

00:18:17.460 Can you give that a read?

00:18:18.580 These images tell you everything.

00:18:20.120 The Pentagon briefings will not.

00:18:21.440 What you are looking at is an Iranian ballistic reentry vehicle escorted by a swarm of penetration aids, decoys engineered to simultaneously exhaust and blind every layer of the defensive stack, Patriot in the terminal phase, Thad in the upper atmosphere, Arrow 3 in space. 0.89

00:18:37.040 This is a purpose-built solution to a specific problem, and the problem Iran was solving was the entire architecture Washington spent hundreds of billions constructing and sold the world the lie that these systems are impenetrable. 0.81

00:18:48.100 Capacity was already dangerously low after last June, and interceptors are being consumed faster, blah, blah, blah.

00:18:54.460 So it helps get through the defensive structure of Israel, the Iron Dome, all the missile defense systems.

00:18:59.420 So like all the little specks, and then there's the big thing, and then the little specks go into the dome, and then they use dome resources to attack the specks.

00:19:07.660 It's overwhelming.

00:19:08.620 It overwhelms and allows the big one to boom.

00:19:10.900 Yeah.

00:19:11.500 Thank you.

00:19:12.340 There you go.

00:19:14.040 Geopolitical is not my weakness. 1.00

00:19:15.380 Yeah, simpleton geopolitical shit, right? 0.99

00:19:17.440 Yeah, so that's not that good. 1.00

00:19:18.860 Goes boom.

00:19:19.720 It does goes boom.

00:19:20.720 And then what do we have here?

00:19:21.740 This is another one.

00:19:22.640 Ships. 0.78

00:19:23.520 That was a big part of it.

00:19:24.540 Yeah, so 11, Iran had 11 ships, I believe, in the Strait of Hormuz area, and now those are all zero.

00:19:31.320 The Sea of Oman?

00:19:32.460 Yeah.

00:19:32.680 Or something like that?

00:19:33.400 Something like that.

00:19:34.080 Yeah, yeah.

00:19:34.820 So, I mean, that's the thing.

00:19:36.280 We hit their leadership. 0.93

00:19:38.920 So it was never a regime change war, but we killed all their regime. 0.98

00:19:42.960 That was important.

00:19:44.040 So the regime is changing.

00:19:45.260 The regime is changing, whether you like it or not.

00:19:47.060 And then Trump was saying, oh, the guy I had picked, he died too in that.

00:19:51.300 So we don't even have a regime change chain of custody or whatever.

00:19:56.440 It's not even good.

00:19:57.160 Now somebody has to show up out of nowhere.

00:19:58.780 Someone's next one up.

00:19:59.760 We got a lot of the ships.

00:20:01.360 We got a lot of the missile factories.

00:20:03.960 And so, you know, we went heavy this time.

00:20:07.020 And then one of the things that was interesting about last time, the B-2 bombers or the bunker

00:20:14.320 busters coming in and targeting the nuclear facility specifically, was that that was kind

00:20:18.800 of like hands off, like one up and done.

00:20:20.760 This was more comprehensive.

00:20:22.640 And then you can see the more comprehensive response in the Iranian reply to it.

00:20:26.520 There was a lot more firing at basically every country in the immediate vicinity where the

00:20:31.500 U.S. had a military base.

00:20:33.620 So there's a little more, it's a little more serious this time.

00:20:36.460 Yeah.

00:20:36.640 We have four dead so far.

00:20:38.480 And I think that number went up.

00:20:39.780 I think it went up to six, but.

00:20:41.620 And it sounds like Cuba's next on the list.

00:20:43.580 We're going to keep doing this.

00:20:44.560 But yeah, and it's not a regime change and then it's not regime change.

00:20:48.440 And but think about how the people of Cuba, we just liberated them.

00:20:51.400 Right.

00:20:52.120 And the regime is dead.

00:20:53.820 Yeah. 0.99

00:20:54.420 But so, you know, we're getting involved in shit that's not really in our purview. 0.95

00:20:59.320 There's always a way to justify it or spin it and say, well, yeah, this was good. 0.98

00:21:04.700 We needed to do this.

00:21:05.740 And all these people want to be liberated.

00:21:07.420 But it's just not really the bread and butter.

00:21:10.260 We got we got cities in America that need to be liberated, brother.

00:21:13.620 Yeah, it's very true.

00:21:15.200 Unfortunately, you need Congress congressional approval to liberate those cities or something.

00:21:19.620 But it's just it's ugly.

00:21:22.280 I don't want to be in.

00:21:23.160 I don't want to be involved.

00:21:24.100 Right.

00:21:25.160 Yeah.

00:21:25.440 The only nice part is it's not like the war in Iraq where it takes 20 years and costs five

00:21:30.880 trillion dollars or whatever.

00:21:32.700 Yeah.

00:21:33.020 It's not it's not a money laundering scheme yet.

00:21:35.820 Yeah.

00:21:36.140 But it definitely have a little one false flag, one different thing here.

00:21:39.860 And you're dragged into something you don't want to be dragged into, you know?

00:21:42.900 Yeah.

00:21:43.320 It's like wearing loose clothes around that heavy whipping Chinese live leak machinery. 1.00

00:21:48.960 You're like, oh, this feels great.

00:21:50.600 I'm loose.

00:21:51.340 And then all of a sudden you get spun into the machinery because you were there.

00:21:54.080 You shouldn't have been there.

00:21:54.980 Right.

00:21:55.320 Mm hmm.

00:21:56.000 So maybe there's a metaphor there.

00:21:57.360 Maybe I have to work that out a little bit.

00:21:58.680 I think everyone knows exactly what you're talking about.

00:22:00.880 You don't want to get sucked into the Chinese machinery. 0.99

00:22:03.360 Yeah.

00:22:03.860 That's it.

00:22:04.540 Right.

00:22:04.760 And we're closer to the machinery than ever.

00:22:07.120 And our clothes are loose.

00:22:08.620 Yeah.

00:22:08.760 And there is a fan blowing.

00:22:10.380 Yeah.

00:22:10.920 All right.

00:22:11.580 I'm going to do this.

00:22:12.520 It's like a Final Destination scene where like the water starts shaking and all of a

00:22:15.520 sudden you're sucked into the Chinese machine. 0.56

00:22:17.360 The bolt falls out.

00:22:18.280 Yeah.

00:22:18.740 All right.

00:22:19.420 Next, we're going to go fast through this because it's kind of a me thing.

00:22:22.520 It's kind of like a passion project for me.

00:22:24.740 There were orbs spotted before the bombs went off in Iran.

00:22:29.600 And as you can see there, there's these bright orbs.

00:22:32.440 No one knows what they are.

00:22:33.720 Is it aliens?

00:22:34.920 Is it advanced tech based on aliens?

00:22:37.480 Probably one or the other.

00:22:38.800 Okay.

00:22:39.900 Cool.

00:22:40.420 And keep in mind what the Bible says an angel looks like.

00:22:43.480 Does that look like the orb?

00:22:44.920 Yeah.

00:22:45.640 It looks exactly like the orb.

00:22:46.800 Yeah.

00:22:47.060 Wow.

00:22:47.600 And that's interesting.

00:22:48.580 And then I want you guys to have some historical context here.

00:22:52.680 Aliens and all these things aren't like, you know, the last 50 years.

00:22:57.560 This has been going on for a long time.

00:22:59.400 Can you read what Thomas Jefferson saw?

00:23:01.840 A UFO.

00:23:03.000 In 1800, while serving as Vice President, Thomas Jefferson recorded a phenomenon reported by

00:23:07.820 the naturalist and astronomer William Dunbar.

00:23:10.540 Dunbar described a fast moving crimson red cigar shaped luminous object, roughly 70 to 80

00:23:15.620 feet long, traveling about 200 yards above the ground.

00:23:18.660 So there you go.

00:23:19.660 So aliens.

00:23:20.880 Aliens again.

00:23:21.560 And then we're going to wrap up our little mini alien section with a prophecy from this

00:23:25.460 guy who predicted what's happening right now.

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00:23:55.680 One thing she told me was, when you see Iran and Israel exchanging missiles and I saw it,

00:24:06.240 the way she tells me is a vision of, I see it like a living picture screen.

00:24:11.380 I could see the rockets flying.

00:24:13.260 Then all of a sudden, orbs appeared out of the ocean and everywhere.

00:24:17.760 And I told the government, if this happens, the orbs are going to appear and wake people up and stop it.

00:24:26.100 That's what she told me.

00:24:27.140 So that could happen.

00:24:29.220 Okay, sure.

00:24:30.140 We're getting ahead of that.

00:24:31.360 Yeah, yeah.

00:24:32.280 Orbs.

00:24:32.820 Be on the lookout for orbs in any heavy potential World War III zone, right?

00:24:36.960 Yeah, or maybe stopping the nukes like they've done in the past.

00:24:39.740 All right.

00:24:41.060 And then with the death of Khamenei, the Ayatollah, New York Times had like kind of a nice article about him and an obituary.

00:24:50.180 We'll get to the details, but can you read the headline first?

00:24:52.340 Ayatollah Ali Khamenei, hardline cleric who made Iran a regional power, dies at 86.

00:24:58.320 And that guy killed like 50,000 people.

00:25:01.320 Yeah, yeah.

00:25:02.400 Really bad stuff.

00:25:03.560 And then this is how they described Scott Adams when he died.

00:25:06.940 Well, this is people first.

00:25:08.660 It says Scott Adams, disgraced Dilbert creator, dies at 68.

00:25:12.100 Dilbert was pulled from wide circulation after Adams' racist rant in 2023.

00:25:16.600 And then a New York Times version too.

00:25:18.500 For a one-for-one comparison is Scott Adams, whose comic strip Dilbert was a sensation until he made racist comments on his podcast, has died at 68.

00:25:27.000 So that's how they do it.

00:25:28.360 And that's all because Scott Adams said he doesn't recommend living near black people. 0.94

00:25:32.820 Which is pretty standard advice. 0.98

00:25:35.020 Anybody with an eye or in a brain can figure that one out.

00:25:38.340 And then we have a Washington Post paragraph.

00:25:40.560 Can you read that, please?

00:25:41.700 With his bushy white beard and easy smile, Ayatollah Khamenei cut a more avuncular figure in public than his perpetually scowling but much more revered mentor.

00:25:53.780 He was known to be fond of Persian poetry and classic Western novels, especially Victor Hugo's Les Miserables.

00:26:00.680 An avuncular.

00:26:01.780 I haven't heard that word maybe since college.

00:26:04.180 Yeah, that's like a word my mom probably knows.

00:26:07.420 Big scrabble points on that one.

00:26:08.880 Big scrabble points.

00:26:09.780 Not going to challenge.

00:26:10.800 Avuncular.

00:26:11.560 And then you look up avuncular. 1.00

00:26:13.000 Fuck! 1.00

00:26:13.960 That's so true. 1.00

00:26:14.940 All right.

00:26:15.440 And so that's how the media is describing this regime change.

00:26:19.060 And also in the past, we're obviously dealing with some like lone wolf terrorist sleeper cell things now.

00:26:25.080 That's the bigger part of it.

00:26:26.280 Yeah.

00:26:26.600 And that's what we're going to get into.

00:26:27.660 But we have an article that kind of is an interesting point about that.

00:26:32.940 Apologist, basically.

00:26:34.600 In Iran, this is from CNN.

00:26:36.320 In Iran, death to America doesn't always mean what it seems.

00:26:40.600 Metaphorically.

00:26:41.220 They'll write a similar article for the kill the boar in South Africa too.

00:26:45.160 Like that's just a political slogan.

00:26:46.860 It's a song.

00:26:47.360 White guy is getting like. 0.86

00:26:49.180 Yeah, exactly.

00:26:50.720 And I'm assuming terrorist attacks are going to go up.

00:26:54.000 We saw one, obviously, over the weekend in Austin, Texas.

00:26:57.500 There was an Afghanistan announcement.

00:26:59.740 Can you read that?

00:27:00.680 Afghanistan announces they will use suicide bomber battalions.

00:27:04.460 And someone said suicide bombing in an age where drones exist.

00:27:07.960 Pure love for the game.

00:27:09.160 You have to respect the dedication.

00:27:10.660 That's true.

00:27:11.380 Yeah.

00:27:12.020 And there is a doppel.

00:27:13.200 I know.

00:27:14.240 I see it.

00:27:15.340 I'm in the Taliban.

00:27:16.300 You're pretty high ranking in the Taliban, which is nice at least. 1.00

00:27:19.020 You know, you don't get on screen unless you're a commander, right?

00:27:22.080 Top five.

00:27:22.740 Yeah, you're top five in the Taliban.

00:27:23.880 Top five, top five, top five.

00:27:25.220 All right.

00:27:25.760 That's pretty good.

00:27:26.580 And then obviously we had the attack in Austin, Texas over the weekend.

00:27:30.120 Yeah.

00:27:31.620 It was a mass shooting.

00:27:33.040 53-year-old naturalized U.S. citizen who was born in Senegal and was living in Pflugerville, Texas.

00:27:38.920 Material recovered from his person and vehicle give possible indications of a nexus to terrorism.

00:27:43.620 He's wearing the property of Allah shirt. 0.96

00:27:46.940 And here's the picture.

00:27:47.800 You guys all saw this.

00:27:48.680 We're not going to cover it too much, but just in the broad scheme of things like, hey, are there more Muslim lone wolves in the United States and Canada and all of Europe than there ever have been in history?

00:27:59.440 What do you think?

00:28:00.620 Do you think there's more or less?

00:28:02.580 Yeah.

00:28:02.960 It's up.

00:28:03.600 It's up a lot.

00:28:04.400 There was a stabbing in Virginia that they're waiting and releasing and not releasing anything about who did it.

00:28:10.320 So, but a dog got stabbed.

00:28:12.440 So what do you think?

00:28:13.500 Take a guess.

00:28:14.560 Yeah, it's so true.

00:28:15.640 But yeah, there's more lone wolves if I live near Dearborn or anywhere.

00:28:19.180 And if I went to church near some of these places, I would definitely be bringing a gun to those events for the next week or so or as long as this military engagement is going on.

00:28:29.320 Yeah.

00:28:29.880 It's not exactly safety season right now.

00:28:32.160 It's not safety season.

00:28:33.360 And keep in mind, these people fundamentally do hate us.

00:28:36.040 Yeah.

00:28:36.180 And also there could be false flags as well.

00:28:39.800 So it is just safety season, full 360, keep your head on a swivel.

00:28:43.300 And then, you know, it's something interesting.

00:28:45.200 This Senegalese guy, we have a lot of Republicans or, you know, party members who say, hey, any legal immigration is good.

00:28:53.540 This guy was legal.

00:28:54.440 He was naturalized.

00:28:55.300 He married an American.

00:28:56.460 He's not exactly the type of guy we need here.

00:28:58.620 And a 53-year-old, right?

00:29:00.720 You think about it, 53, you're basically in the autumn of your, what do they call it, the September of your years as Frank Sinatra would say.

00:29:13.780 I'm in the autumn of my years.

00:29:15.360 And you're doing the terrorist attack in downtown Austin.

00:29:19.520 Like you're a different level.

00:29:21.340 Like you could see how a 21-year-old or a disenfranchised early, you know, late teenager could get radicalized.

00:29:27.300 But to be 53, you're deep in it.

00:29:29.480 You have a lot of hatred and you have a lot like, oh, it's time to activate now. 1.00

00:29:33.580 You made it through your whole life and you're going to go shoot some white people in Austin, Texas. 1.00

00:29:38.380 One time, one night, now you're done. 1.00

00:29:40.120 Yep.

00:29:40.820 All right.

00:29:41.640 Well, we're going to obviously keep track on the Iran stuff.

00:29:46.020 Every episode, I'm sure, for the next few weeks, we'll have some sort of Iran section, which isn't Richard's favorite.

00:29:51.400 No, I mean, it's, we have to talk about it.

00:29:53.320 I'm just saying, like, I don't like an episode that gets hijacked by geopolitics that we don't really like.

00:29:58.240 It's not about the topic, right?

00:30:00.200 It's more about, like, a thing I'm unenthusiastic about and I'm over here with a scowl on my face while Mark Levin's saying, we need to do more.

00:30:07.220 We need to get in there.

00:30:08.160 Get some troops on the ground.

00:30:09.600 Type of people whose children would never serve in the military forces.

00:30:13.440 That's a great point.

00:30:14.320 So, overall, it's just a distraction and a disgust thing for me.

00:30:19.420 What are your thoughts on it in general?

00:30:21.820 I like paying attention to how the narrative changes.

00:30:25.140 Like, now we're liberating the Iranian people.

00:30:27.520 That was never in discussion.

00:30:29.540 And especially off the heels of the Operation Midnight Hammer, the bunker busters and all that.

00:30:35.880 Bunker busting their nuclear facility, which is gone.

00:30:38.340 And then we destroyed it all.

00:30:39.560 And now they have nukes.

00:30:40.720 We have to get them.

00:30:41.400 And it's like, I thought we just did that.

00:30:42.540 I thought we used that excuse already.

00:30:43.860 And so, all the rhetoric around that was just one and done.

00:30:46.880 One punch and we're out.

00:30:48.060 No retaliation.

00:30:49.000 No lives lost.

00:30:50.000 And it's evolving into something else where we're liberating people and we have to stay for five to six weeks or something like that.

00:30:57.000 I just don't like the trend it's going.

00:30:59.300 And then a lot of people who are saying no new wars or whatever are kind of like justifying this one.

00:31:05.520 It's interesting to see how people's opinions evolve as the administration changes their directives almost.

00:31:14.780 Yeah.

00:31:15.360 So, we'll see.

00:31:16.580 We'll see.

00:31:17.140 I hope for the best.

00:31:18.200 And there's always like – there's different theories as to what we're doing there.

00:31:23.980 Yeah.

00:31:24.320 Cutting off China's access to cheap Iranian oil.

00:31:27.660 There's always some new benefit to attacking someone, right?

00:31:31.420 There's some new – oh, and it's also this.

00:31:34.120 Don't forget about this, right?

00:31:35.460 And that's where – that's the key is that there's a lot of like layers to it that we're not fully knowledgeable of.

00:31:41.600 But Iran was giving a lot of oil to China.

00:31:43.920 So was Venezuela.

00:31:45.140 Just dealt with them.

00:31:46.180 Yeah.

00:31:46.340 So is this all a China oil play?

00:31:49.320 Is it a Bitcoin play?

00:31:50.940 Is it where the Epstein files are hidden?

00:31:53.180 No.

00:31:53.740 There's like a lot of things that could be.

00:31:55.700 Sure, sure.

00:31:56.800 Barack Obama just lawyered up.

00:31:58.580 Is he –

00:31:59.700 Yeah.

00:32:00.120 What's his role?

00:32:01.600 The Epstein files in Iran.

00:32:03.440 I don't know.

00:32:04.220 Or he gave all the money to Iran.

00:32:05.880 There's like – there's levels to it.

00:32:07.320 But anyway, we've always said this as a show that things aren't good enough to go to war with Iran in America. 0.74

00:32:14.180 That's pretty much the thesis for an America First type podcast and show.

00:32:19.200 And I don't think we changed enough in between Operation Midnight Hammer and Operation whatever Fury.

00:32:25.300 What's it called?

00:32:26.740 I don't think we improved enough in America to go to war with Iran as a treat. 0.99

00:32:31.380 Right.

00:32:31.560 Yeah.

00:32:31.920 That's true.

00:32:33.040 All right.

00:32:33.380 Let's get to our next story.

00:32:34.940 This is about alpha-gal, which is that man-made disease that's tick-borne.

00:32:41.340 Yeah.

00:32:41.560 And a tick bites you and it makes you allergic to meat.

00:32:44.380 There was a death from that in Australia.

00:32:47.180 A teenager who died after eating beef sausages on a camping trip has been confirmed as the first person in Australia to die of rare tick-induced meat allergy.

00:32:56.500 Cases of alpha-gal syndrome have increased 40% since 2020.

00:33:00.540 So, yeah, that's the first death.

00:33:02.120 I've heard of people getting sick or repulsed by red meat, but I've never heard of a death.

00:33:07.580 You want me to read this?

00:33:08.460 Yeah.

00:33:08.660 A teenager who died after eating beef sausages while camping has been confirmed as the first person dead.

00:33:14.600 Jeremy Webb, 16, from New South Wales Central Coast collapsed after consuming the sausages at McMaster's Beach in 2022 and later died in a hospital with his death attributed to asthma at the time.

00:33:27.420 But New South Wales Deputy State Coroner Carmel Forbes has now ruled that the asthma attack was triggered by an anaphylactic reaction to mammalian meat after he was posthumously diagnosed with alpha-gal syndrome, potentially fatal allergy to red meats such as beef, pork, and lamb named after a sugar molecule.

00:33:47.100 And, yeah, that's it, basically.

00:33:49.660 And this is a man-made disease and was most likely made at Fort Detrick, if I had to guess. 0.73

00:33:55.520 But they make this stuff, and their goal, bigger picture, the World Economic Forum has even said this.

00:34:00.780 Their goal is to make everyone stop eating meat because meat's bad for climate change and the environment.

00:34:06.260 But realistically, if you don't eat meat, everyone's going to get weaker and lower their testosterone and go even worse.

00:34:13.260 And we have a clip here from the World Economic Forum from a few years ago of one of their guys talking about exactly this.

00:34:18.980 So, one is that people eat too much meat, right?

00:34:23.820 And if they were to cut down on their consumption on meat, then it would actually really help the planet.

00:34:30.200 But people are not willing to give up meat.

00:34:32.660 Yeah, you know, some people will be willing to, but other people, they may be willing to, but they sort of, they have a weakness of will.

00:34:38.500 They say, wow, this steak is just too juicy.

00:34:40.780 I can't do it.

00:34:41.340 I'm one of those, by the way.

00:34:42.780 So, you know, but so here's the thought, right?

00:34:45.580 So, it turns out that we know a lot about, so we have these intolerance to, so I, for example, I have milk intolerance.

00:34:53.740 And there's some people are intolerant to crayfish.

00:34:56.680 So, possibly we can use human engineering to make it the case that we're intolerant to certain kinds of meat, to certain kinds of bovine proteins.

00:35:05.340 And there's actually analogs of this in life.

00:35:07.560 There's this thing called the long star tick, where if it bites you, you will become allergic to meat.

00:35:12.740 I can sort of describe the mechanism.

00:35:14.360 So, that's something that we can do through human engineering.

00:35:17.240 We can kind of possibly address really big world problems through human engineering.

00:35:22.520 Sounds like that's what they're up to.

00:35:24.240 Yeah.

00:35:24.580 And if someone tries to human engineer me and I catch you doing it, you're gone, brother.

00:35:29.040 Yeah.

00:35:29.400 You're going down. 1.00

00:35:30.340 Stay out of my ass. 1.00

00:35:30.820 Stay out of my ass. 1.00

00:35:31.860 Stop digging around in my ass. 1.00

00:35:33.800 Why do you keep human engineering me? 1.00

00:35:36.760 That's true.

00:35:37.680 Yeah.

00:35:37.900 And if that happens to me and I'm allergic to meat, I'll just eat meat until I die.

00:35:42.300 Do you think so?

00:35:43.240 I'm not going to stop.

00:35:44.120 I was going to say, it's pizza time.

00:35:45.960 Ooh, it's not a bad idea.

00:35:47.080 It's pizza time.

00:35:47.660 And then you're like, whatever, can't eat meat.

00:35:49.600 I'm eating pizza every day.

00:35:51.360 That's a good point.

00:35:52.340 Pasta.

00:35:52.460 That's actually really smart.

00:35:53.520 All right.

00:35:53.900 All right.

00:35:54.180 I'm back in.

00:35:54.940 Okay.

00:35:55.320 All right.

00:35:55.580 Let's get to our migrant section.

00:35:57.160 We have a good amount of migrant stuff.

00:35:58.840 My favorite part of this is going to be the NAV for Fresno response.

00:36:02.680 Yeah.

00:36:03.160 But we're going to wait.

00:36:04.080 We'll wait for that.

00:36:04.720 We have some sad stories first.

00:36:06.420 Illegal alien charged with rape while training as a corrections officer set free by prison,

00:36:12.420 which is like a mouthful, right?

00:36:14.480 That's an interesting thing.

00:36:15.600 Ibrahim George Kellen.

00:36:17.700 I don't know how to pronounce it.

00:36:19.140 An illegal alien from Sierra Leone whose visitor visa expired in 2024 was arrested while training

00:36:24.540 to be a Delaware County prison corrections officer and charged by Glen Olden police for rape,

00:36:31.720 involuntary deviant sexual intercourse, sexual assault, aggravated indecent assault, false

00:36:36.160 imprisonment, indecent assault.

00:36:37.500 So you can kind of gather what happened from those charges.

00:36:41.080 A young lady wasn't allowed to leave. 1.00

00:36:42.880 She was forced upon by this Sierra Leone ugly motherfucker. 1.00

00:36:47.660 Try to be a police officer, basically. 1.00

00:36:49.160 Bad skin.

00:36:49.760 Yeah.

00:36:49.920 And so Delaware County prison sent him back into the community despite an ICE immigration

00:36:54.100 detainer.

00:36:54.940 So ICE officers had to arrest him at large.

00:36:57.620 So this is who the operations are.

00:36:59.320 When you see ICE officers in the street, it's the people who the jail wouldn't call them.

00:37:04.220 They wouldn't turn them over.

00:37:05.420 So he was an illegal.

00:37:07.680 He applied to be a prison guard.

00:37:10.680 He was training, in training at that prison for a while.

00:37:14.220 Then they go, hold up.

00:37:15.260 Wait a minute. 1.00

00:37:16.380 You got charged with some bad shit, including rape. 1.00

00:37:18.740 Like, you're now in the prison. 0.99

00:37:21.600 And then they let him out of the prison before cooperating with ICE. 1.00

00:37:24.640 So crazy, stupid story. 1.00

00:37:26.920 Full. 1.00

00:37:27.480 He experienced every part of it.

00:37:29.420 Exactly.

00:37:29.940 He really knows the justice system inside and out now.

00:37:32.480 He's like, well, I've seen him from both sides.

00:37:34.360 Maybe he can stay and help us.

00:37:36.020 Oh, wait. 1.00

00:37:36.680 He's a rapist. 1.00

00:37:37.600 Yeah. 1.00

00:37:38.020 From Sierra Leone.

00:37:39.240 And this is off the heels of the New Orleans Police Department accidentally training

00:37:44.080 a cadet who was an illegal.

00:37:46.220 So we got him in the prisons and we got him in the police departments.

00:37:50.480 They're everywhere.

00:37:51.500 Briefly.

00:37:52.000 And then the New York Times ran an article the other day about an illegal and they were

00:37:55.940 trying to like be on his side.

00:37:57.760 Oh, he's been here for 20 years.

00:37:59.200 But they forgot to mention something.

00:38:01.040 Yeah.

00:38:01.160 The New York Times ran a piece on their homepage about a guy getting deported, even though he

00:38:04.960 had lived in the U.S. since a teenager and had been here for 20 years.

00:38:08.960 And the New York Times waited until the end of the article to mention that 19 of those

00:38:13.520 years were spent in prison for murder.

00:38:15.900 He just wants a better life.

00:38:17.160 He's been here for 20 years.

00:38:18.400 Come on.

00:38:18.960 Okay.

00:38:19.260 Where's he been?

00:38:19.940 Where's he been for the 20 years?

00:38:21.440 Jail for murder.

00:38:23.480 Great.

00:38:23.980 Thanks, New York Times.

00:38:24.940 Appreciate it.

00:38:25.300 That's what we're dealing with there.

00:38:26.700 But the Ayatollah is a nice religious scholar or something.

00:38:29.880 I don't know.

00:38:30.360 It's just fully backwards.

00:38:31.800 Yeah.

00:38:32.000 It's like that movie where you put the glasses on and you see a different message.

00:38:35.200 Totally.

00:38:35.800 Totally.

00:38:36.160 It's really that.

00:38:36.720 And then you put these glasses on for the New York Times article and the only thing

00:38:40.480 you see is murder for 19 years, like at the bottom.

00:38:43.220 It takes out all the fat of the article and the fluff.

00:38:45.520 It's way more concise. 0.85

00:38:46.300 He just tells you, illegal deported, he was a murderer. 0.90

00:38:48.780 Okay. 0.90

00:38:49.180 Thanks.

00:38:49.580 Way more concise.

00:38:50.620 Clean article.

00:38:51.240 And instead of 4,000 words from the New York Times, it's one sentence.

00:38:54.020 And then they put it at the end.

00:38:55.100 No one reads the whole article.

00:38:57.180 Yeah.

00:38:57.840 Well, I don't know.

00:38:59.260 People do read the whole article.

00:39:00.300 But if you read the article, wouldn't you get the gist of it?

00:39:03.220 Like, oh, this guy's been here for 20 years.

00:39:04.720 Oh, he's getting deported.

00:39:05.660 Trump's doing deportations.

00:39:07.000 Here's the bigger picture of deportation numbers.

00:39:09.260 Like by the end, you're like, all right, I get it.

00:39:11.300 This guy's getting deported.

00:39:12.280 He's been here for 20 years.

00:39:13.120 And then you might even miss.

00:39:15.080 And it would be funny if the New York Times was doing like legitimate, like dummy paragraphs

00:39:19.400 or something, where there's a paragraph, say they get to the murder charge on the 19th

00:39:25.740 paragraph, and they have a dummy paragraph in 15 or 16 that gets boring, that's meant

00:39:30.340 to wean you off the article.

00:39:32.240 It's like, geez, they took a turn here.

00:39:33.700 I'm done with this.

00:39:34.620 And then you never get to the murder.

00:39:36.000 That's a 1980s baseball stat. 1.00

00:39:37.480 What the fuck are you talking about? 0.99

00:39:38.960 I'm done reading this article. 1.00

00:39:40.080 Exactly.

00:39:40.860 All right.

00:39:41.060 We have another story out of Virginia, out of Fairfax.

00:39:43.380 A woman was stabbed to death by an illegal.

00:39:46.840 First responders arriving at a Richmond Highway bus stop, finding the victim of a stabbing.

00:39:51.560 A female, unresponsive. 0.99

00:39:52.860 There seems to be a cut.

00:39:53.840 She's not breathing.

00:39:55.380 Unresponsive.

00:39:56.260 There's blood all over her. 0.99

00:39:57.660 41-year-old Stephanie Minter died from her injuries.

00:40:00.620 Her family just posting this obituary, describing her as, quote, a beam of light in dark places.

00:40:06.140 Charged in her killing, 32-year-old Abdul Jalloh, already well-known to police and prosecutors.

00:40:11.920 Court records show the unhoused man had a reputation for violence, an alleged rape in 2018,

00:40:17.460 then a series of four alleged stabbings, and more recently, before the alleged murder,

00:40:22.780 two alleged assaults.

00:40:24.780 But only once was Jalloh convicted and sent to prison.

00:40:27.940 In February of 2023, he stabbed a 73-year-old man so forcefully, the blade broke off the knife.

00:40:35.300 He pleaded guilty to malicious wounding and was sentenced to serve two years with five years of time suspended.

00:40:40.600 Then Monday night, another stabbing.

00:40:43.160 Police say it's at least...

00:40:44.360 I don't know how you get your charges dropped for a rape and a stabbing.

00:40:48.780 Yeah.

00:40:49.000 And then the one thing you do actually go to jail for is when you stabbed an elderly person,

00:40:53.820 someone in their 70s, so hard that the blade broke.

00:40:56.520 And then he only served two years for that.

00:40:58.460 And this is Fairfax County in Fairfax, Virginia, basically.

00:41:03.080 So Spangberger let him out.

00:41:04.800 Pretty much.

00:41:05.520 I mean, she did just recently order.

00:41:07.360 We just had the transition from Republican Youngkin over to Spanberger.

00:41:13.380 And she just ordered with, I think, via executive order to not cooperate with ICE in the state of Virginia.

00:41:19.720 And so they obviously were a sanctuary city for a county, I guess, for the entire time.

00:41:26.120 All that history of his crimes.

00:41:27.620 Because how is an illegal immigrant just doing multiple stabbings and getting away with it without being deported? 1.00

00:41:34.680 Sorry, go ahead.

00:41:35.740 No, no.

00:41:36.120 It's just such a shock.

00:41:38.220 And then one of these happens every week.

00:41:40.480 Like, this headline that basically didn't used to exist happens every week. 0.96

00:41:46.140 Illegal repeat offender kills white person in America.

00:41:49.320 And then that didn't used to happen because we didn't have illegals or we had way less of them.

00:41:54.500 And their repeat offenders, they didn't really exist as much.

00:41:57.640 Yeah.

00:41:57.880 And he got arrested over 30 times since 2012.

00:42:01.340 Yeah.

00:42:01.820 But he only got charged a few times.

00:42:03.660 So he must have a great lawyer. 0.98

00:42:05.040 A homeless, illegal, violent criminal. 0.98

00:42:07.360 Yeah. 0.99

00:42:07.740 He gets the best.

00:42:08.780 Must have a great lawyer.

00:42:09.260 He gets the best public defender that you can get, right?

00:42:12.340 And then none of the other media outlets even mentioned this woman, Stephanie Minter.

00:42:16.980 Yeah.

00:42:17.620 No articles from any of the major sites.

00:42:20.100 They just ignore that one.

00:42:21.600 They'll tell you the Ayatollah is not so bad. 1.00

00:42:23.780 Yeah.

00:42:24.020 But we get a new one of these every week and it's just all so tiresome, right?

00:42:28.000 Yeah.

00:42:28.480 All right.

00:42:28.820 Let's get to our next story.

00:42:29.960 This guy is like, I believe, a mobile truck repair guy.

00:42:33.460 Yeah.

00:42:33.960 And he has an Indian client.

00:42:36.720 And listen to what happens when it's time to pay the bill.

00:42:39.580 Look, this is my company.

00:42:41.600 I charge $3.50 a month.

00:42:43.500 I don't care what anybody else charges.

00:42:45.700 Didn't I explain to you and your boss how much it was going to be $1,100 between $1,100 and $1,300 to come out here and fix?

00:42:54.020 Correct.

00:42:54.560 Right.

00:42:55.240 And guess what the bill is?

00:42:56.540 It is $1,049.57.

00:42:59.800 It is cheaper than what I quoted you the first two prices.

00:43:03.060 I explained all this before I come out.

00:43:05.680 So this is why I'm recording.

00:43:07.660 So where's your car?

00:43:10.760 You can sign this or I can call a DOT officer out here and we can handle it however you want to handle it.

00:43:17.380 You're complaining about the bill.

00:43:19.240 I don't know why I'm just asking for the money.

00:43:21.020 I didn't ask for the service.

00:43:23.100 Is it cheaper than what I quoted you?

00:43:30.420 If I played games with everybody I went around, nobody would like me.

00:43:38.440 There you go.

00:43:41.000 I'm hearing stories too.

00:43:42.520 We've talked about this.

00:43:43.380 They're worse than the you-know-whos when it comes to haggling and prices. 1.00

00:43:47.540 Well, you haggle after the services are rendered and it's like, that's not the time to do it.

00:43:51.800 In broken English, his price came in under the quoted price.

00:43:57.420 I don't even think this guy owns the truck.

00:43:59.900 He's haggling for the love of the game because it's like he talked to your boss.

00:44:04.080 So he needed somebody above him to get approval.

00:44:06.320 And it's still complaining.

00:44:07.840 See what you can do.

00:44:08.600 And this guy says, I'll call the DOT out here, right?

00:44:13.260 But that wastes everybody's time.

00:44:15.040 This guy's working and he gets paid by how many trucks or jobs he does, right?

00:44:20.080 And if you're going to wait 45 minutes for a DOT guy to come out and settle and make the Indian migrant guy pay for it, you're losing daylight. 0.99

00:44:27.420 You missed your next job and now your whole day's this.

00:44:30.860 It costs you money enforcing the non-haggle under quote price versus this Indian trucker. 0.99

00:44:37.180 So true.

00:44:37.620 And we have a tweet here I thought was pretty insightful.

00:44:40.100 One hustler doing a single hustle is charming.

00:44:43.100 A nation of them scheming to rip value from patience, charity, sympathy, constantly on everything is maddening.

00:44:50.160 The answer is to immediately escalate to the authorities.

00:44:53.000 No, you had your chance.

00:44:54.340 Time for consequences.

00:44:55.760 Yep.

00:44:55.980 And then we've kind of mentioned this next idea before, but I wanted to cover it again.

00:45:00.720 And you're not going to have to read all of it.

00:45:01.900 Maybe just read the first things in the numbers, but it's the poverty mindset and kind of what happens to America when you import people from the third world who have poverty mindset. 0.99

00:45:10.900 Yeah.

00:45:11.140 The poverty mindset still rules the vast majority of the population.

00:45:14.480 Here's a list of public behaviors that reflect a poverty mindset.

00:45:19.020 Freebie hunting everywhere.

00:45:21.340 Loud bargaining in public.

00:45:23.340 No respect for cleanliness.

00:45:25.140 Zero civic sense.

00:45:26.940 Show off spending.

00:45:29.140 Invasive curiosity.

00:45:30.720 Jealous comparisons. 0.98

00:45:32.340 Exploiting services.

00:45:33.980 Entitlement mentality.

00:45:35.420 And gossips and backbiting.

00:45:37.480 Stuff like that.

00:45:38.340 Yeah.

00:45:38.800 Yeah.

00:45:39.220 A lot that we see from the Indian subcontinent, I would say.

00:45:42.360 For sure.

00:45:42.820 All right.

00:45:43.080 Let's get to our next piece.

00:45:44.180 My favorite piece from the whole episode.

00:45:46.240 Last episode, we talked about the sexual predator running for office for city council in Fresno.

00:45:51.880 And then the other option, if you don't want to vote for him, was Nav for Fresno, the guy with the turban.

00:45:57.840 Yeah.

00:45:58.180 Which was kind of like a throwaway comment.

00:46:00.020 It was just like, and there's an Indian running against the sex president. 1.00

00:46:02.520 It wasn't even about him.

00:46:03.680 Yeah.

00:46:03.920 It was not about him.

00:46:04.840 But he did not.

00:46:05.980 He took the opportunity.

00:46:07.100 Right.

00:46:07.400 It was just a sign of the times. 1.00

00:46:08.740 It's either a sex pervert, criminal, or an Indian guy with the turban. 1.00

00:46:13.220 Totally. 1.00

00:46:13.720 And then he commented on that post and said, I'm more American than you'll ever be to me.

00:46:19.480 Even he knows that's false, right?

00:46:21.900 Nav.

00:46:22.280 Nav.

00:46:23.560 What's Nav short for?

00:46:24.840 Navream?

00:46:25.640 Something like that.

00:46:26.660 You're not really American, buddy. 0.99

00:46:27.820 You're wearing a turban. 0.98

00:46:28.820 You're literally wearing a turban. 0.93

00:46:30.800 So.

00:46:31.120 Nav.

00:46:31.400 So that's handled.

00:46:32.580 And then he made a response video, which we're going to play here.

00:46:37.920 We're going to skip the part where we're talking because you guys have already seen that.

00:46:41.120 So we'll just fast forward through that.

00:46:42.520 But he talks on either end of it.

00:46:45.140 Hey, Fresno.

00:46:45.880 Was just getting ready to go canvas another neighborhood in District 7 when I saw this clip online.

00:46:50.680 And then someone replied to the sex offender running.

00:46:53.480 Here in Fresno, we know the diversity of our community is a strength.

00:46:56.760 I'm proud of my sick faith.

00:46:58.340 I'm proud to be an American.

00:46:59.500 And I'm proud to be a Fresnen.

00:47:01.100 So much so that I'm running for city council to fight for a better Fresno.

00:47:05.240 So that was the response.

00:47:07.260 Diversity is our strength.

00:47:08.720 Pretty weak response.

00:47:10.060 It's not really a strength at all.

00:47:11.700 We've proven year after year, right? 0.99

00:47:13.580 Diversity is our strength, which is one of those stupid phrases that don't actually mean anything. 0.99

00:47:17.340 And then in his tweet, he said, I think people like Fleckis have lost the plot. 0.99

00:47:21.340 And it's interesting that I've lost the plot.

00:47:23.600 Meanwhile, I've been monitoring the situation very closely.

00:47:26.420 And I've been pretty spot on about everything that's happening.

00:47:29.280 Yeah.

00:47:29.820 Yeah.

00:47:29.980 So I don't know what plot you think I've lost.

00:47:31.820 No, we're following a different plot, which is how Indians act when they're in Western countries. 1.00

00:47:36.800 And the plot is pretty ugly.

00:47:38.300 We've covered it over the last couple months of the show, right?

00:47:40.960 Yeah.

00:47:41.320 But if I don't like diversity, I'm hateful.

00:47:43.720 But guys like Nav are allowed to do ethnic favoritism whenever they see fit. 0.98

00:47:48.040 But if I do it, I'm racist.

00:47:49.880 But when they do it, it's progressive.

00:47:51.500 And you're allowed to because it's anti-white. 0.87

00:47:54.360 And we scrolled on Nav's page a little bit, his Twitter, and no more than a couple tweets down, he's reposting some other guy in a turban running for state house in Georgia.

00:48:05.320 So I don't know what that has to do with Fresno, California.

00:48:08.640 City council in Fresno, California.

00:48:09.940 I don't see much.

00:48:11.060 But I guess he could be best friends with this guy or it could just be a random guy in a turban who he also supports.

00:48:17.020 So some ethnic favoritism politically, right?

00:48:19.360 Yeah, but diversity is good.

00:48:21.420 But I don't think that's true.

00:48:23.920 And I think we've had enough diversity.

00:48:26.560 And I think everyone sees what diversity looks like on a mass scale.

00:48:30.420 This is the white birth rate in America.

00:48:33.320 White percentage of total births, 2023.

00:48:35.460 And it's not good.

00:48:37.120 What's the percentage in California?

00:48:38.820 19%.

00:48:39.340 19%, 30-something, 20-something in Texas.

00:48:43.200 It's not looking good.

00:48:44.240 So that's what diversity looks like.

00:48:45.860 And we all know that diversity and demographics are actually what are the lead indicators for who wins elections.

00:48:53.920 Yeah.

00:48:54.540 Multiracial democracy elections are not contest of ideas but a racial headcount.

00:48:59.260 Yeah.

00:48:59.560 And that's literally what's going on.

00:49:01.740 And we see the ethnic favoritism everywhere, the one that NAV does.

00:49:07.880 We've seen it at high levels in our companies and corporations with H-1Bs. 1.00

00:49:13.780 Yeah, I want to talk about this really quickly first because there's some sort of thing like where a guy like NAV might think a show like us just hates Indian people. 1.00

00:49:23.380 And we see an Indian, we go, fuck that guy. 1.00

00:49:25.600 And there's some base level, like low-level racism that is in our hearts or something. 1.00

00:49:31.020 As if it's not just we've seen what happens when Indians kind of come in, take over, and start pushing political weight around. 1.00

00:49:38.200 And we don't like the result of that. 1.00

00:49:41.280 It's not like, fuck that Indian guy. 0.99

00:49:43.700 Anybody who's worked in corporate America has met or worked with Indian people, right? 1.00

00:49:48.280 Anyone who's gone to a high-level college has met and studied with Indian people, right?

00:49:54.080 They're around.

00:49:54.860 It's a fact of life.

00:49:55.840 There's no hate.

00:49:56.840 But me and Fleckis are both done voting for any Indian politicians for a long time because what we've seen so far, right? 0.98

00:50:05.180 And a big part of that is I'm not racist.

00:50:08.220 I don't hate Indians.

00:50:09.400 I just know which groups are doing ethnic favoritism.

00:50:13.480 And we've seen it at a scale.

00:50:14.660 And a lot of these are old assets that we've kind of gone over the past couple months that inform our worldview on avoiding Indian politicians because they end up showing that ethnic favoritism on both sides of the aisle. 0.84

00:50:28.180 And we've seen it.

00:50:29.180 And the ethnic favoritism is not good for America.

00:50:32.140 Yeah, definitely.

00:50:32.900 That's the key.

00:50:33.420 That's the key thing.

00:50:34.520 It's not just because they're Indian.

00:50:36.000 It's because when they come here, this is what they tend to do.

00:50:38.760 Yeah, and so these are a couple of our elected reps right now who are big defenders of H-1B visas.

00:50:45.520 They happen to just be Indians.

00:50:47.560 And a few of them are born in India too, which I don't think should be allowed in America. 1.00

00:50:52.820 You can't represent – you can't be a congressman if you weren't born here. 1.00

00:50:56.520 But I guess we let those slip through the cracks a little bit and got lazy.

00:51:01.120 And let's just take one, Pramila Jaipal right here, top right corner.

00:51:05.060 You know her.

00:51:05.560 I think she's from Washington.

00:51:06.580 Her personally, she's like leading the charge to remove the country origin green card caps. 0.99

00:51:15.140 So there's a cap on country of origin for these green cards.

00:51:19.300 And she took that up and is co-sponsoring legislation to get that cap removed.

00:51:24.840 And then you look under the hood and you go, oh, who's being throttled by this cap?

00:51:28.960 And there's apparently 1.2 million or so in backlog green cards.

00:51:32.900 800,000 of them are Indian.

00:51:34.740 And she was born in India.

00:51:35.820 So that became a passion project for her.

00:51:38.620 She's showing a little ethnic favoritism there. 1.00

00:51:40.860 And then she'll say, no, it's not ethnic.

00:51:42.380 There are other countries too.

00:51:43.860 But then 75% of the people waiting are Indians, right? 0.90

00:51:46.640 Yeah.

00:51:47.400 Then something we covered before, FedEx's new Indian CEO, who is only the second CEO in history after founder Fred Smith.

00:51:54.780 He's hiring an entire executive team of Indians, right?

00:51:58.020 He appoints Kowal Preet as executive vice president for planning, engineering, and transformation.

00:52:02.480 And then he appoints Vishal Talwar as executive vice president, chief digital and information officer, right?

00:52:08.520 Yep.

00:52:08.780 So there's both politics and corporate, right?

00:52:11.800 And then this coincides with them losing the USPS contract, FedEx that is.

00:52:18.080 I've heard from mutuals who live in the region that he's also doing the IT subcontractor Indian population transfer and demographically replacing Memphis suburbs.

00:52:27.540 Stories of 90% white neighborhoods flipping to majority Hindu since 2020. 0.85

00:52:31.680 So that's how it looks.

00:52:33.660 You get your IT subcontractors.

00:52:35.980 We'll make them Indian too.

00:52:37.600 We'll bring in H-1Bs. 1.00

00:52:39.100 The entire company, FedEx, which is an American company founded in Memphis, is now turning into like some Indian thing because of ethnic favoritism.

00:52:46.980 Yep.

00:52:47.400 Which is what we're worried about when voting, right?

00:52:50.600 Here's another example from a different company, Humana.

00:52:53.420 A former employee of Humana has provided me with a detailed account of how he was both laid off and forced to train his H-1B replacement.

00:53:02.460 This happened last November and he hasn't been able to get a new job.

00:53:04.960 Can't even get an interview.

00:53:06.740 According to the former employee, Humana staff is 98% Indian.

00:53:10.600 You could be on a Zoom meeting with 25 other colleagues and only one or two of the attendees were American.

00:53:15.600 He also notes that his Indian colleagues were extreme rude.

00:53:19.060 We're not going to get into too much of the Indian behavior and being rude. 0.99

00:53:22.580 We're just talking about specifically ethnic favoritism.

00:53:25.520 We're going to keep it high level.

00:53:26.620 Exactly.

00:53:27.280 Here's another example, a company called Hexaware.

00:53:30.440 Here's their leadership and management team.

00:53:32.720 Notice anything?

00:53:33.600 They're all Indian. 0.80

00:53:34.440 There's not a single white person.

00:53:36.000 And so once they got enough positions of power to start hiring who they wanted to, all of a sudden there were zero white people.

00:53:44.080 And that's why we don't really vote for people who do a lot of ethnic favoritism.

00:53:48.500 And then the result of that ethnic favoritism is more people coming here, more H-1Bs, more chain migration for those visa holders or green card holders.

00:54:00.600 And what do they do when they get here?

00:54:03.120 Do they vote 50-50?

00:54:04.620 Are they just like white people? 0.95

00:54:06.440 No.

00:54:07.280 Indians come to America and then vote two to one for socialism. 1.00

00:54:10.860 Most of them don't become Americans.

00:54:12.420 Instead, they attempt to turn America into India. 0.99

00:54:14.740 There's no amount of economic contribution that makes up for this.

00:54:17.520 And this is Kamala Harris versus Donald Trump in 2024.

00:54:20.400 And it's a two to one ratio, right?

00:54:21.760 But then Nav will say, I went to a baseball game.

00:54:24.540 Exactly.

00:54:25.060 I like the Colorado Rockies.

00:54:27.480 What are you talking about?

00:54:28.280 I don't do ethnic favoritism.

00:54:30.180 I'm from Fresno.

00:54:31.320 I went to UCLA.

00:54:32.540 And it's like, there's going to be a time when an Indian guy in a turban comes up to you and asks for something to be done. 1.00

00:54:38.340 And you'll do it.

00:54:39.860 And this goes beyond the aisle, right?

00:54:42.060 Right wing, left wing.

00:54:43.320 We've been mad at Indians on the right because they'll say things like this. 0.74

00:54:48.400 If we're serious about decoupling from China, it will also require expanded relationships with India.

00:54:56.180 And I'm not just saying that because my name is Vivek Ramaswamy.

00:54:58.720 I promise.

00:54:59.520 So it's something that goes across political divide, both sides.

00:55:03.560 And then what's the end result?

00:55:04.980 Dallas looks like this. 0.57

00:55:06.460 This is Dallas, Texas.

00:55:10.420 So Nav, this is Dallas, Texas.

00:55:13.460 Is this good?

00:55:14.920 Is this bad?

00:55:16.280 Or is this neutral?

00:55:17.680 Yeah.

00:55:17.860 And you can be racist if you want, whatever.

00:55:21.620 But let us know.

00:55:23.480 Let us know.

00:55:24.200 Would you like Fresno to look like that?

00:55:26.660 And the thing is, there's a big switch or trick happening where this is hate or racism or you've lost the plot.

00:55:36.460 And it's like, no, we're paying attention.

00:55:39.840 We're seeing what happened.

00:55:41.560 Canada, our neighbor to the north, they just imported 10 million foreigners in like four years.

00:55:47.020 And we're not going to even get into how uncomfortable white women are at the clubs in Toronto now. 1.00

00:55:52.960 We're not going to get into the illegal fishing and poaching. 1.00

00:55:55.720 We're not going to get into the using cow shit or piss in religious ceremonies. 0.99

00:56:00.580 We're not going to get into any of that. 0.99

00:56:02.100 We're just going to talk about politicians engaging in ethnic favoritism and then rooting for their group.

00:56:09.720 Yeah.

00:56:10.320 And that's what we're worried about.

00:56:12.700 We're not going to get into the guy cutting chicken breast with his toenail.

00:56:16.180 Do you do that, Nav?

00:56:18.120 Nav, you don't do that, right?

00:56:19.220 I hate more.

00:56:19.700 Not when you live in California.

00:56:22.120 I assume you don't do that.

00:56:23.360 But yeah, so we're not really racist.

00:56:25.340 We don't hate Indians. 0.99

00:56:26.580 There's no weird shit like that. 0.99

00:56:29.120 I had some Indian friends back in the day. 0.98

00:56:32.180 I have Indian friends now.

00:56:33.360 But it got to a point that we're changing demographics in towns.

00:56:38.900 We're changing entire towns.

00:56:41.060 Frisco, Texas looks like something different that it shouldn't.

00:56:43.920 And yeah, you're going to City Council of Fresno.

00:56:49.180 So it's not exactly a point of power where you can really do H-1B stuff.

00:56:53.420 But that's a stepping stone.

00:56:55.260 That's where you start a political career.

00:56:57.300 And then who knows where you are 20 years from now helping out Indians, brother.

00:57:02.140 That's very true.

00:57:03.020 And to wrap it up, I don't want to bring in people from third world countries that displace Americans, take more than they give. 1.00

00:57:09.620 And if that makes me hateful, then good.

00:57:13.200 Yeah, there's a little thing where that used to work and it used to shut somebody up. 0.98

00:57:16.680 If you said, you're racist, you're hateful. 1.00

00:57:18.580 Not fucking us. 1.00

00:57:19.960 We don't care. 1.00

00:57:21.140 We're not talking about gay shit like that, pussy. 1.00

00:57:25.040 Yeah. 1.00

00:57:25.340 You know, like we're not, we don't get silenced.

00:57:28.680 They're ethnically replacing white people in America through mass migration. 0.90

00:57:33.380 It's really simple.

00:57:35.060 It's on every chart.

00:57:36.580 It shows up everywhere in data, student reading, proficiency. 0.99

00:57:41.300 We're importing retarded third worlders. 1.00

00:57:43.560 Yeah. 0.99

00:57:43.940 And it's not hateful to call that out, right?

00:57:47.180 You know, this guy's a small potatoes running for city council guy. 0.99

00:57:50.060 Like nobody gives a fuck. 0.99

00:57:51.340 But I thought it was a good opportunity to explain. 1.00

00:57:54.840 There's not just, man, I hate brown people. 1.00

00:57:56.620 I can't stand seeing brown people. 1.00

00:57:58.640 There's no that.

00:58:00.060 We just understand what you do.

00:58:02.180 And you're like weevils.

00:58:03.600 You eat the wood out of FedEx.

00:58:05.160 All of a sudden, FedEx is an entirely Indian company founded by America, Americans in America.

00:58:11.280 And all of a sudden, it goes to India?

00:58:14.260 No, no, no.

00:58:15.200 No, no, no.

00:58:15.900 And you do the head thing.

00:58:16.740 No, no, no.

00:58:17.780 Not on my watch.

00:58:19.220 Not on my watch, sir.

00:58:20.980 No, no, no, Nav.

00:58:22.040 So, yeah.

00:58:22.520 I mean-

00:58:23.160 That's a good point. 0.98

00:58:23.820 It's not, oh, we just hate brown people. 0.93

00:58:25.580 It's just, no, we see what happens and what they tend to do. 0.73

00:58:28.860 And whether we say it or not, they're still going to do what they're going to do.

00:58:32.320 And is that better for America in the long term?

00:58:34.560 Two to one voting for socialism.

00:58:36.760 Not good.

00:58:37.500 It's better for Indians. 1.00

00:58:38.940 It's better for Indians for you guys to have power. 1.00

00:58:40.940 But it's not better for us.

00:58:42.360 And, you know, good luck out there.

00:58:44.320 You're running against a sex offender, brother.

00:58:46.080 Yeah.

00:58:46.520 And here's an interesting thing about the sex offender, Nav.

00:58:49.760 I have a feeling he's a Democrat.

00:58:51.760 You're a Democrat.

00:58:52.320 You're both progressive.

00:58:53.820 I have a feeling you have the same exact politics and platform as him.

00:58:58.320 And the only difference is he's a sex offender and you're not.

00:59:00.780 Yeah.

00:59:01.220 And this raises a good question of would you take a sex offender who was 100% in line with you on all politics?

00:59:08.280 That's a tough one.

00:59:09.660 I don't know.

00:59:11.200 All right.

00:59:11.940 Let's wrap this up.

00:59:13.340 We're still in the Nav section, but we're in Canada.

00:59:16.300 Canada brought in a ton of third worlders, ton of migrants over the last few years.

00:59:21.280 The chart is like this.

00:59:23.040 And everyone said, oh, it's for the economy.

00:59:25.180 We need it for the economy.

00:59:26.140 It helps GDP.

00:59:27.860 Canada is actually contracting economically.

00:59:31.260 Yeah.

00:59:32.100 Canada's economy contracted in the fourth quarter, coming well below expectations, the slowest year of growth for the country since 2020.

00:59:38.900 And it shrank 0.6% annualized in Q4.

00:59:43.480 So, yeah, I guess infinity migrants didn't really work out. 1.00

00:59:46.820 It doesn't provide the economic boost that you thought it did, right?

00:59:49.640 Yeah.

00:59:50.500 All right.

00:59:50.860 Well, that's the end of our migrant section.

00:59:52.380 Let's move on to the final page of housekeeping where I can say whatever I want.

00:59:55.680 Use the opportunity to go to the post.

00:59:56.820 Help us juice the audio.

00:59:57.540 Leave a like, comment, comment again.

00:59:58.620 That's our app in PO box, notifications, old episode, links to this one, et cetera.

01:00:03.200 All right.

01:00:03.920 And merch should be arriving this week.

01:00:06.500 So make sure you guys post you in the merch.

01:00:08.900 That would be very cool.

01:00:10.320 All right.

01:00:10.760 We have a final page.

01:00:12.580 We don't have a ton of time, but we're going to make our points.

01:00:14.700 First, this is a really cool bar trick that you guys can try at home.

01:00:19.700 And the key is the foam.

01:00:22.760 You see the foam suction he just did?

01:00:24.460 Yeah. 0.86

01:00:24.480 So it sucks to it.

01:00:25.720 Yeah. 0.95

01:00:25.800 That's the key.

01:00:28.620 Ah, never mind.

01:00:29.720 Ah, shattered a whole glass.

01:00:31.800 Never mind.

01:00:33.260 All right.

01:00:33.520 That was funny.

01:00:34.300 Okay.

01:00:35.280 And then speaking of beer, IPAs, everyone drinks IPAs, Indian pale ale.

01:00:40.600 Yeah.

01:00:40.860 Do you drink IPAs?

01:00:41.780 No, I don't like the taste.

01:00:43.240 It tastes bitter.

01:00:44.520 Yes.

01:00:45.120 It tastes like there's like pennies are in it.

01:00:49.300 Yeah.

01:00:49.600 Like if you had penny water.

01:00:50.960 Yeah, I'm not a big IPA guy, but it definitely became popular with millennials and like as

01:00:55.580 I was growing up.

01:00:56.940 Yeah.

01:00:57.160 You know what I mean?

01:00:57.720 Like that's our era.

01:00:59.420 Yeah.

01:00:59.720 Yeah.

01:01:00.060 And it's bad for you.

01:01:01.680 Beer is the least manly thing in the world, especially IPAs.

01:01:04.660 If you drink five plus hoppy beers, you'll intake an equivalent of half a pill of birth

01:01:10.700 control based on the estrogenic content.

01:01:13.600 It has one of the strongest phytoestrogens, eight pre-no-ler-ler-ler-ler, avoid.

01:01:19.820 I am not going to be able to pronounce that.

01:01:21.900 Another Indian word. 0.85

01:01:23.240 Maybe.

01:01:24.540 Or Latin.

01:01:25.100 So that's bad.

01:01:25.880 You guys drink IPAs.

01:01:27.140 It makes you feminized. 0.63

01:01:29.060 Yeah.

01:01:29.540 Not good for you.

01:01:30.180 Everyone kind of knew that, but.

01:01:31.420 That was an op on millennials.

01:01:32.780 Yeah.

01:01:33.200 But the birth control thing is interesting.

01:01:35.140 All right.

01:01:35.680 Next, more CIA documents came out.

01:01:38.760 Classified CIA memo shows planned to make citizens unwitting assassins to target U.S.

01:01:43.560 officials. 1.00

01:01:44.380 Literal sleeper cell shit. 1.00

01:01:45.960 Or what is it? 1.00

01:01:46.880 Manchurian candidate?

01:01:48.000 Manchurian candidate.

01:01:49.560 Brainwash.

01:01:50.160 Mind control. 1.00

01:01:50.880 Zoolander shit. 1.00

01:01:51.880 Yeah. 1.00

01:01:52.420 Pretty much.

01:01:52.920 And this was like from the 50s, and I think it was a successful program.

01:01:58.580 Maybe they stopped.

01:01:59.940 Maybe they said, all right, we figured it out.

01:02:01.780 Let's not use it.

01:02:02.800 Okay.

01:02:03.400 So something to keep in mind.

01:02:04.760 Cool.

01:02:05.380 And then this guy has a mind control technique of his own that we all can use.

01:02:10.240 It's called temporal tapping.

01:02:12.580 I am super fast.

01:02:14.360 I am super fast.

01:02:15.740 I am super fast.

01:02:17.300 My name is David.

01:02:18.680 My name is David.

01:02:19.900 My name is David.

01:02:20.720 I am super strong.

01:02:23.740 I am super strong.

01:02:24.900 I am super strong.

01:02:26.320 My name is David.

01:02:27.580 My name is David.

01:02:28.780 My name is David.

01:02:31.800 Temporal tapping.

01:02:33.740 On your left side, you tap anything over the temple that you want to be true that is not currently true.

01:02:42.140 On the right side, you tap anything that's true.

01:02:49.100 It's interesting.

01:02:50.480 Okay.

01:02:50.840 My name is David.

01:02:51.700 My name is David.

01:02:52.360 Yeah.

01:02:52.760 You start copying him.

01:02:54.280 I don't know why.

01:02:55.100 I don't know who David is.

01:02:56.120 Okay.

01:02:56.620 But it's about David.

01:02:57.820 Okay.

01:02:57.980 My name is David.

01:02:58.700 My name is David.

01:02:59.740 All right.

01:03:00.040 I am thin.

01:03:00.900 I am strong.

01:03:02.120 I have so much money.

01:03:03.720 All right.

01:03:04.280 I'm really, really rich.

01:03:05.240 I have too much money.

01:03:06.080 I don't know what to do with it all.

01:03:07.040 I'm by the Scrooge McDuck room of all this money and I'm able to swim in it.

01:03:11.340 There's an entire indoor Scrooge McDuck room of all my money.

01:03:15.040 My name is David.

01:03:15.720 My name is David.

01:03:16.440 Okay.

01:03:17.080 All right.

01:03:17.680 All right, David.

01:03:18.260 Where are we headed next?

01:03:19.220 To this section.

01:03:20.640 And I made this recently.

01:03:23.380 Okay.

01:03:23.580 Basically, I have a theory and I've kind of read about this elsewhere and it's not that

01:03:28.180 crazy, but I think a person's resting face expression is indicative of if they're happy

01:03:33.200 or not based on if their mouth naturally smiles or frowns.

01:03:37.060 Okay.

01:03:37.520 And I have some examples here.

01:03:39.200 Hillary.

01:03:39.620 Hillary Clinton.

01:03:40.420 That's a frown.

01:03:41.120 Natural frown.

01:03:41.520 Down.

01:03:42.420 Ellen DeGeneres.

01:03:43.500 Frown.

01:03:43.920 Down.

01:03:45.180 Kanye.

01:03:45.880 Frown.

01:03:47.260 Rosie O'Donnell.

01:03:48.120 See how they're all just like your resting face is like sad.

01:03:50.900 Yeah.

01:03:51.300 And it's a frown.

01:03:52.160 I get that.

01:03:52.580 And it's like, oh, because I'm always frowning because I'm sad because I'm always sad.

01:03:56.380 You're a sad person.

01:03:57.600 Sean Penn. 0.89

01:03:58.540 That's actually a decoy down.

01:03:59.900 The mustache makes you think down, but it actually goes up.

01:04:02.600 So that's decoy down.

01:04:03.520 Okay.

01:04:03.800 Eminem.

01:04:04.560 Neutral to maybe down.

01:04:06.160 Okay.

01:04:06.840 Leo.

01:04:07.400 Neutral.

01:04:08.860 Rihanna.

01:04:09.660 Neutral to down.

01:04:11.000 Robin Williams.

01:04:12.120 Up.

01:04:12.620 Happy.

01:04:13.100 Happy guy.

01:04:13.840 He's the only guy on this list who killed himself.

01:04:16.660 I think we need to go back to the drawing board, brother.

01:04:19.380 I don't know what's up. 0.98

01:04:20.400 And then Hillary's naturally unhappy, but she's a cockroach. 1.00

01:04:23.000 So she'll survive anything.

01:04:24.620 So it was a working theory.

01:04:25.880 Okay.

01:04:26.220 But keep this in mind in your life.

01:04:27.720 Where did this come from?

01:04:28.580 Was this after you saw the Jim Carrey freak face?

01:04:31.520 No.

01:04:32.100 Okay.

01:04:32.360 I thought that might've inspired you. 0.99

01:04:34.120 Jim Carrey looking all fucked up. 0.99

01:04:34.840 This was after I saw Hillary Clinton do her little press conference and she was kind of 0.99

01:04:41.000 like standing there like this.

01:04:42.540 Yeah. 0.96

01:04:43.140 A little bitchy. 1.00

01:04:43.780 And it's like, all right, that's just like how you are. 0.52

01:04:45.960 Like that's the energy you're giving off is like, oh, I'm always frowning.

01:04:49.920 I'm, I'm, I'm, and then you look around and people are either naturally smiling or naturally

01:04:55.440 frowning when they're resting.

01:04:56.860 And then that is who they are.

01:04:59.280 Yeah.

01:04:59.720 Totally.

01:05:00.100 Let me see yours.

01:05:01.840 You have a natural up.

01:05:03.220 I don't even care. 1.00

01:05:04.200 Cause your theory's bullshit. 1.00

01:05:05.660 How about me? 1.00

01:05:06.780 Yeah. 0.99

01:05:07.100 You're a natural pig. 1.00

01:05:09.440 Not even funny. 1.00

01:05:10.400 All right.

01:05:11.740 But yeah, I guess the Robin Williams one I didn't really think about.

01:05:14.160 Yeah.

01:05:14.320 I was like, oh, he's a happy guy.

01:05:15.460 He's a happy guy.

01:05:16.240 What's he up to now?

01:05:17.380 He's bouncing off the walls.

01:05:18.620 He killed himself. 1.00

01:05:19.820 Shit. 1.00

01:05:20.860 All right. 0.99

01:05:21.420 Uh, next, uh, there, there's an upcoming trend hitting the big cat touching industry.

01:05:27.520 I wanted to touch on.

01:05:29.340 So this person is meeting a big cat and they see how they do it.

01:05:33.300 They put them on his shoulders.

01:05:34.480 They give them milk.

01:05:35.940 They distract them and we can fast forward to the end and then you get your shot. 0.59

01:05:39.880 And that shot's sick. 0.85

01:05:41.020 That's a nice shot.

01:05:41.740 Yeah.

01:05:41.900 But it's also like a thousand pound tiger and it's very risky.

01:05:45.300 Um, but I think the big cat touching industry is going to get smoked by AI.

01:05:50.540 Okay.

01:05:51.260 Because if AI exists, you can have clips like this.

01:05:54.240 What?

01:05:55.260 They're climbing in?

01:05:56.040 It's right here.

01:05:57.080 Surprise.

01:05:58.100 No way.

01:05:58.540 It's a woman? 1.00

01:05:59.080 Namaste, friends.

01:06:00.260 Just a little safari prank.

01:06:01.780 You scared the life?

01:06:02.500 So if you have clips like that, why would you ever need to risk it and go to a thing

01:06:07.620 to pay and touch a real cat that they're like barely keeping off of you?

01:06:11.520 Yeah.

01:06:11.700 If it's all for the picture, then who cares if the picture's fake is what you're saying.

01:06:15.320 If you have an intimate like desire and need to meet a tiger, then you have to go in

01:06:19.500 person.

01:06:19.780 But if you're just looking for the picture, it might as well slop it up with AI.

01:06:22.880 AI it up.

01:06:23.800 Yeah.

01:06:23.920 And I'm going to be opening a short position on Madagascarian tiger touching businesses.

01:06:29.180 Okay.

01:06:29.800 All right.

01:06:30.540 Is that an ETF?

01:06:31.620 I don't know.

01:06:32.040 Anything like that?

01:06:32.860 I need a double leverage?

01:06:34.200 Triple leverage reverse ETF.

01:06:36.120 Madagascar tiger.

01:06:36.760 On Madagascarian tiger touching businesses.

01:06:38.960 All right.

01:06:39.300 I'll look into it, boss.

01:06:40.200 All right.

01:06:40.420 The last piece of the final page of housekeeping is just a funny tweet I saw, and I thought

01:06:44.680 we want to tell you guys about it.

01:06:46.480 My neighbor told me coyotes keep eating his outdoor cats.

01:06:49.460 So I asked how many cats he has had, and he said he just goes to the shelter and gets

01:06:54.040 a new cat afterwards.

01:06:55.580 So I said, it sounds like he's just feeding the shelter cats to coyotes, and then his daughter

01:06:59.800 started crying.

01:07:02.040 Isn't that pretty good?

01:07:02.980 Yeah, yeah, yeah.

01:07:03.920 That is funny.

01:07:05.000 All right.

01:07:05.360 That's funny.

01:07:05.820 Well, that's the end of housekeeping.

01:07:06.880 We're now moving on to Cringe of the Week.

01:07:11.080 All right.

01:07:11.660 Our first story from Cringe of the Week is just a funny headline.

01:07:14.520 Can you give that a read, please?

01:07:15.860 After transitioning, my straight friends started hitting on me.

01:07:19.340 It made me feel like a piece of meat. 1.00

01:07:21.580 Maybe pork butt. 0.99

01:07:23.840 Everyone was just waiting for you to make this statement. 0.91

01:07:27.180 I'm a girl now. 1.00

01:07:28.720 Like, make no changes in your fat pig body. 1.00

01:07:31.560 It's like, oh, what a piece of ass now. 1.00

01:07:34.060 It kind of looks like a mix of you and me. 1.00

01:07:36.340 Yeah.

01:07:36.820 What do you think?

01:07:37.520 With the straightened hair.

01:07:38.580 Yeah.

01:07:39.220 All right.

01:07:39.560 Maybe one of those giant briskets.

01:07:41.180 You know, the store, they have the briskets that are like that big with all the fat on

01:07:44.300 it.

01:07:44.520 Yeah. 0.96

01:07:44.820 I'm a piece of meat. 0.94

01:07:45.760 I'm starting to feel like a piece of meat.

01:07:47.360 Like a, you know, you ever see those floating whales that they're about to explode?

01:07:51.780 Yeah.

01:07:52.040 Like a rotting whale corpse.

01:07:53.580 That's probably, I agree, a piece of meat.

01:07:55.140 Or the pig with the apple in his mouth, and they rotate it. 0.99

01:07:57.860 Suckling pig. 1.00

01:07:58.620 Succulent pig. 1.00

01:07:59.220 Yeah. 0.99

01:07:59.500 And speaking of trans, I thought this was interesting.

01:08:02.040 It's a Reddit post, but it's about how shrooms gets rid of your gender dysphoria, maybe.

01:08:07.680 Shroom trip got me, got rid of my dysphoria. 0.90

01:08:11.000 Now I don't know what to do.

01:08:12.400 I'm 23, 120 pounds, was female to male.

01:08:16.720 Took an eighth of golden caps, not realizing how strong they'd be with a friend.

01:08:20.800 I'm still new to shrooms myself.

01:08:22.440 During its peak, my memory returned of a huge portion of my childhood, and I felt like the

01:08:28.860 girl I was back then instead of the boy I felt like the past decade.

01:08:32.880 Felt the boy part of me disappear and suddenly felt comfortable in my body and with my more

01:08:38.040 feminine voice and demeanor.

01:08:39.820 Cried knowing the trans part of me was gone.

01:08:42.180 Went from telling my friend, I think I'm a girl now, to a few minutes later crying my ego

01:08:46.620 because it was gone.

01:08:48.220 That's what happens with shrooms. 0.99

01:08:49.420 There's an ego death and this persona and facade you build up goes away.

01:08:54.460 You get stripped down to what I am, really?

01:08:56.840 What was I?

01:08:58.740 How was I made?

01:09:00.140 And it was a girl.

01:09:01.320 It's something interesting.

01:09:02.300 It was a girl.

01:09:02.520 And I know people probably think shrooms are like a crazy bad thing, but I think it helps 1.00

01:09:06.780 with people with PTSD, too.

01:09:08.580 A lot of tech people, like high-end tech people, microdose shrooms. 0.98

01:09:13.500 So there's some interesting science there.

01:09:15.540 Maybe there's a reason they keep the magic mushrooms away and they give you a big pharma

01:09:19.680 pills instead.

01:09:20.660 Interesting.

01:09:21.420 Interesting.

01:09:21.840 I'm not against it.

01:09:22.720 Yeah.

01:09:23.140 And then I found this skit this guy did I thought was pretty good, and it kind of falls

01:09:26.900 in line with the left versus right dynamic.

01:09:29.040 Are you left wing?

01:09:29.940 Because my entire ego is constructed on the foundations of a moral superiority complex,

01:09:34.280 which itself is pegged to a pathological hyperreality, that when challenged or questioned makes me

01:09:38.720 extremely angry and aggressive because it feels like my entire identity is under existential

01:09:42.840 threat.

01:09:43.820 And I developed this mental model as an adolescent in order to make sense of the unfairness of

01:09:47.600 nature.

01:09:48.300 But due to lacking the introspective courage to challenge my own beliefs, it's easier

01:09:51.860 to just pretend to not understand things than face the terror of realizing that I might

01:09:55.640 have been misled my entire life and could even be rejected by the tribe.

01:09:58.860 So it's kind of like a defense mechanism.

01:10:01.240 I have to pretend to find that term problematic.

01:10:03.620 Oh, right.

01:10:04.100 Sorry.

01:10:04.840 That's kind of what we're dealing with. 0.94

01:10:06.220 And that's for white people. 0.87

01:10:07.760 If you ask an Indian or a black person why they're a Democrat, they'll just say, help 1.00

01:10:12.800 me out. 0.83

01:10:13.540 Help my people out.

01:10:14.740 Right.

01:10:15.040 For both of those.

01:10:16.000 That's more for a white person justifying why they're giving the country away.

01:10:19.200 Right.

01:10:19.740 That's very true.

01:10:20.820 All right.

01:10:21.060 Our next section of cringe is the one we mentioned in the intro.

01:10:23.820 It's people feeling sorry for themselves.

01:10:25.880 You're passionate about this one.

01:10:27.080 I got excited about this.

01:10:29.580 So basically, we have two example clips, but it's basically the same thing.

01:10:33.700 These guys post videos and they call it my Friday night as a 25 year old who doesn't

01:10:39.260 go out.

01:10:39.840 And it's supposed to be sad, I think.

01:10:41.260 Imagine some sad copyrighted music over at 6.37 p.m.

01:10:48.320 He picks up the slop, then he plates it, and he pours a cold one, and that's filtered water.

01:10:55.860 Heads to the couch, dinner tray.

01:10:58.800 He likes it.

01:11:00.460 Washing the dishes.

01:11:01.320 Then he gets an evening popcorn bag filmed from inside the microwave.

01:11:09.160 Time to relax.

01:11:11.160 Netflix, Beauty and the Beast.

01:11:12.680 He's watching Beauty and the Beast.

01:11:14.380 Beauty and the Bester.

01:11:15.880 And besides plating the Uber Eats and cleaning the dishes, this is a normal night.

01:11:20.400 Yeah.

01:11:20.920 I think that's the point.

01:11:22.460 There's a new content lane of doing the mundane.

01:11:26.080 But I just don't get like, what do you want to happen?

01:11:28.640 You want a girl to see it and go, oh, this doesn't seem so bad. 0.97

01:11:31.280 You actually got a cube.

01:11:32.240 Maybe I could come over and watch Netflix with you.

01:11:34.260 Like, what do you think is going to happen?

01:11:35.580 I think that's actually fair.

01:11:36.960 I think that's what they want to happen.

01:11:38.540 You think you're going to get a girlfriend from this?

01:11:39.980 Like what, pity girlfriend?

01:11:41.220 Like, oh, this doesn't seem so bad.

01:11:42.640 Or a girlfriend who does the same thing.

01:11:44.080 Plates her Chick-fil-A.

01:11:45.040 You're a handsome guy, actually.

01:11:46.460 You're exactly my type.

01:11:48.260 You.

01:11:48.820 This is how I found you.

01:11:50.040 I think you're onto something.

01:11:50.900 Yeah.

01:11:51.060 And we've all had nights that look like this, but we don't put our fast food on a plate.

01:11:55.340 This isn't even the content.

01:11:56.560 Yeah.

01:11:56.760 Like, what's the content of this?

01:11:58.880 You're, like, using paper towels?

01:12:00.240 Yeah.

01:12:00.700 Here, you want to play the next one?

01:12:01.700 Yeah, I'll play the next one.

01:12:02.620 This is an Asian guy, and his Friday night is a 31-year-old.

01:12:08.360 Calling you to stay.

01:12:09.880 That's a big bag.

01:12:11.660 Big Chipotle bag.

01:12:13.280 Now, now, now, now.

01:12:15.480 And they have the sad music, which we can't play.

01:12:17.420 Yeah.

01:12:17.520 Now, now, now, now.

01:12:19.400 You're opening all the cabinets.

01:12:21.800 You're videoing yourself pouring water?

01:12:24.780 Yeah.

01:12:24.980 Oh, I'm drinking this drink.

01:12:27.460 It's like a logistics.

01:12:28.320 Oh, I ordered Chipotle.

01:12:29.720 Yeah.

01:12:30.320 What's the content?

01:12:32.000 What's the edge here?

01:12:32.980 What am I coming back for?

01:12:34.840 To watch you plate Chipotle in Buffalo Wild Wings?

01:12:38.100 Yeah, it's a wing place, actually.

01:12:39.500 I don't get it.

01:12:40.340 I don't get why everyone's plating this food.

01:12:42.600 You don't just eat standing up in your kitchen like everyone else? 0.98

01:12:44.940 Like a real pig who just got the slop? 1.00

01:12:47.320 And then you graze all night, and you come by, and you have a bite here and there, and

01:12:50.020 you have, like, five different things out, and you just eat standing up?

01:12:52.500 I thought that's what everyone was doing.

01:12:53.960 Yeah.

01:12:54.480 It's interesting.

01:12:55.460 There's this, I don't know, procedural content.

01:12:59.060 It's procedural.

01:13:00.640 There's no, like, my personality is coming through.

01:13:03.380 There's no, here's what I'm excited about, or here's me showcasing, like, my quirks.

01:13:09.340 No bits?

01:13:10.120 There's no bits.

01:13:10.960 It's procedural.

01:13:11.700 No personality?

01:13:12.260 They really just make you watch them eat Chick-fil-A on a lonely Friday night.

01:13:16.840 And then, you know what you really spent your night doing?

01:13:19.080 Editing.

01:13:19.580 Moving the monopod around, and then getting all these shots of you doing nothing, and

01:13:24.500 then editing that together.

01:13:25.860 That was your real Friday night.

01:13:27.240 Yeah.

01:13:27.380 You should do a video of, here's my lonely Friday night.

01:13:30.420 He's a 21-year-old, blah, blah, blah, who makes content about being lonely and has to

01:13:33.800 edit this video.

01:13:34.820 And then you could actually have a video of you editing the video.

01:13:36.960 That would actually be funny.

01:13:38.040 You know what could, yeah.

01:13:39.100 The meta.

01:13:39.560 And then you're like, and then, yeah, the meta is, like, smoking a joint or, like, in

01:13:44.680 Premiere.

01:13:45.240 And then, like, doing it, like, oh, what's this?

01:13:47.380 You know?

01:13:48.240 That's how your night really went, if you did it.

01:13:51.080 There's a new angle that I just thought of called flooding the market, right?

01:13:56.340 So this is two guys making the same kind of content.

01:13:59.260 The lonely, pity girlfriend content, right?

01:14:02.360 I'd like to make some of this content with AI, flood the market, make all this content

01:14:07.120 cheap, and then drown these guys out.

01:14:09.220 That's a good idea.

01:14:10.140 Then you kind of flood the market with slop, and then all of a sudden nobody cares about

01:14:14.580 what these guys are up to anymore.

01:14:15.660 That's very, very smart.

01:14:16.960 But yeah, this pissed you off.

01:14:18.460 I was like, these guys are trying to do something, and, you know, I don't know. 0.96

01:14:23.840 This, it just seems dumb to me. 0.80

01:14:25.960 It doesn't seem like anything really crazy. 0.97

01:14:27.980 Well, their grandparents, you know, their grandpa got a black lung in a coal mine.

01:14:31.980 He didn't make content about that.

01:14:33.260 Yeah.

01:14:33.860 You're right.

01:14:34.580 You're right.

01:14:35.240 But this really pissed me off, because it's trying to make everyone feel bad for them,

01:14:41.280 because, like, oh, I'm just a sad, normal guy, and this is what we're up to.

01:14:44.920 But it's actually not pity they're looking for.

01:14:47.400 They're looking for a girlfriend. 0.82

01:14:48.840 Okay.

01:14:49.300 So they backdoor it.

01:14:50.240 And that's, like, a skeezy thing.

01:14:51.780 It's like when the feminists are actually the ones who are going to, like, take advantage 1.00

01:14:54.740 of you when you're too drunk.

01:14:56.540 Totally.

01:14:57.000 It's, like, the same thing.

01:14:58.380 I got you.

01:14:58.840 Or it's like, oh, I'm just a nice guy.

01:15:00.180 I'm so normal.

01:15:00.980 Look how, I'm like a sweet guy.

01:15:02.420 And meanwhile, you're editing this video.

01:15:03.760 Oh, this will make me look so sad.

01:15:04.980 And then girls are going to say, oh, don't be sad.

01:15:06.440 I actually live in the same building as you.

01:15:08.100 Maybe we can go for a walk.

01:15:09.440 Let's go get a coffee.

01:15:10.340 You're really cute. 0.99

01:15:11.120 I want to come over to your apartment, and we can do this stupid Netflix night together. 0.98

01:15:14.820 We can plate the food and Netflix together. 0.98

01:15:17.300 That's what they want to happen, and that's not what's going to happen.

01:15:19.820 I think that's a funny idea, though, that, like, you do that little simple, like, the

01:15:25.580 good boy, like, oh, I plated it, and I did it.

01:15:27.840 And then, like, when it comes time to edit it, what you're really doing, you're, like,

01:15:30.920 smoking a joint.

01:15:31.860 You're dripping a beer.

01:15:32.960 You're like, not now, Mom. 1.00

01:15:34.120 I'm editing the fucking video. 1.00

01:15:35.880 You become a dick. 1.00

01:15:37.040 Yeah. 1.00

01:15:37.320 That would be funny.

01:15:38.460 These guys are just eating Chick-fil-A alone.

01:15:40.540 And they're trying to show, oh, I cleaned the dishes.

01:15:42.760 Oh, I plate the food.

01:15:43.800 I'm a normal guy.

01:15:44.840 Are there any girls out there looking for a normal guy anymore? 1.00

01:15:47.300 I wish I had some chips.

01:15:49.980 I wish I had some chips.

01:15:52.780 All right.

01:15:53.260 Well, that's the end of cringe.

01:15:54.260 We're now moving on to Urban Decay.

01:15:58.560 All right.

01:15:59.120 Our first story from Urban Decay.

01:16:01.020 Another fake hate crime just dropped, this time at Chipotle.

01:16:04.020 A black woman walking into a building and you see something hanging from the roof, the first 0.84

01:16:09.740 thing your mind goes back to is slavery.

01:16:12.360 And the fact that it's still happening today in 2026, people are still being hung, and it's

01:16:18.280 supposed to be taken as a joke, it's not fun.

01:16:20.360 And all I got was a text message, are you done?

01:16:23.800 That's all I got.

01:16:24.820 No.

01:16:25.080 Are you okay?

01:16:26.280 What happened?

01:16:27.220 Do you want to talk about it?

01:16:28.460 We reached out to Chipotle's corporate office asking about this incident.

01:16:32.300 We received a statement saying, in part, quote, the employees involved said that there was

01:16:36.700 no racial motivation or intent behind the display referenced in the social media post.

01:16:42.020 Adding, we understand how it may have been perceived, and we take these concerns very

01:16:46.740 seriously.

01:16:47.300 At some point in time, enough is enough.

01:16:52.980 And what I will have to say to the CEO of Chipotle is, what you perceive as being offensive

01:17:03.880 may not be what I perceive as being offensive.

01:17:07.800 Therefore...

01:17:08.160 Yeah.

01:17:08.580 And then the skeleton on displays had a name tag that said Vinny.

01:17:12.500 In the Chipotle uniform.

01:17:14.100 In the Chipotle uniform named Vinny.

01:17:15.720 Have you ever met a black guy named Vinny?

01:17:17.400 No.

01:17:18.020 I don't think I ever have.

01:17:18.520 It's an Italian name, guys.

01:17:20.080 Yeah.

01:17:20.640 And then everyone at this location had to do sensitivity training, and the employees who

01:17:25.040 put the skeleton up were fired. 0.67

01:17:27.040 Crazy. 0.96

01:17:27.480 So they took this retarded girl's word for it, because anything that's hung up that looks 0.99

01:17:34.640 like a human is slavery, which I don't get.

01:17:38.380 Hasn't the noose and hanging people been around forever for everything?

01:17:42.500 Isn't that pretty standard across all cultures?

01:17:44.660 And then, like, everyone, like, hanging as a punishment is like pirates.

01:17:50.760 Yeah.

01:17:51.320 Like, everyone had that.

01:17:53.300 Or like a head on a pike. 1.00

01:17:54.520 It's like, you kill someone, and then it's meant to send a message, right? 0.72

01:17:57.140 And then for some reason, it's only slavery, because that's the only thing this person is

01:18:00.920 looking for.

01:18:01.600 It's the hammer and the nail thing again.

01:18:03.280 Hammer finds the nail.

01:18:04.280 But my favorite thing is, like, at what point do you go, oh, I overreacted?

01:18:11.380 It's always, they aren't listening to me.

01:18:14.220 They don't know what it's like to be a black woman in America. 1.00

01:18:16.760 There's always that. 0.83

01:18:18.000 There's never the, hey, snap out of it, lady. 1.00

01:18:20.460 You're crazy. 1.00

01:18:21.040 This has nothing to do with black people. 1.00

01:18:22.920 Like, she could go down a line of people, and it's like three Chipotle workers, two 1.00

01:18:28.200 white customers, and one black customer.

01:18:30.000 And she'd go, hey, does this have anything to do with slavery?

01:18:32.780 They go, no, no, no, no.

01:18:36.280 And then she finally gets to the black person and goes, I don't know, kind of. 0.59

01:18:39.260 She goes, that's what I thought.

01:18:40.640 I knew it.

01:18:41.220 I knew it.

01:18:41.940 You know, it's like a weird thing where you have to listen to her, and you don't.

01:18:47.620 You don't.

01:18:48.020 This is like a customer, a nothing, nobody.

01:18:50.920 Yeah.

01:18:51.520 And just because we hung up a skeleton doesn't mean it's about you, babe.

01:18:54.900 Yeah.

01:18:55.480 That ain't how it goes at this Chipotle.

01:18:57.380 Yeah.

01:18:57.880 Anything can be connected to anything.

01:19:00.260 Yeah.

01:19:00.500 For example, Richard Rappoy, give me a random word, and I will connect it to slavery.

01:19:05.400 Okay.

01:19:07.000 Like six degrees of separation.

01:19:08.840 All right.

01:19:09.720 Bandana.

01:19:11.300 Bandana.

01:19:12.140 Bandanas were worn to cover the face of bandits.

01:19:14.960 Bandits were hunted by the police.

01:19:16.780 What are the police based on?

01:19:18.980 Slave catchers. 0.96

01:19:20.160 Whoa.

01:19:20.800 See?

01:19:21.240 It's not even hard.

01:19:21.820 Don't wear that bandana around me.

01:19:24.400 That's basically what this is.

01:19:26.280 Like, something's hung.

01:19:27.820 You know what else is hung?

01:19:29.020 Christmas lights.

01:19:30.080 Christmas lights get hung. 0.83

01:19:31.560 You racist? 0.97

01:19:33.220 It's so much cope.

01:19:34.960 And then I don't get how ABC 15 comes out and films for this.

01:19:40.320 Oh, yeah.

01:19:41.220 Everyone's afraid to be like, I don't think it's that serious.

01:19:43.540 I think they're doing a joke about Vinny.

01:19:45.100 Maybe Vinny used to work there.

01:19:47.140 And now it's the ghost of Vinny because he hasn't been here in so long.

01:19:50.180 I don't think it's about black people.

01:19:52.760 Yeah. 0.59

01:19:53.280 Nobody, like, is the adult in the room at these fake hate crimes.

01:19:56.380 I didn't realize Chipotle workers thought so deeply about history.

01:19:59.680 Yeah.

01:20:00.100 They're constantly.

01:20:01.120 And they're supremacist. 0.97

01:20:02.300 The Mexican fast food minimum wage workers are actually white supremacists. 0.80

01:20:07.860 Must have gotten really good grades in history class. 0.80

01:20:10.480 All right.

01:20:10.720 Let's get to our next story.

01:20:11.940 This takes place in Paris.

01:20:13.340 I guess there was a massive brawl at one of their events.

01:20:16.600 And if you look closely, everybody besides the security guard in the yellow shirt and

01:20:38.460 the shoulder sling is fighting, yelling, or filming.

01:20:42.740 No one's really trying to stop it.

01:20:44.300 Yeah.

01:20:44.500 And there's one lady who punches both sides of the fight. 1.00

01:20:47.700 So there's no, it's just, I'm looking to get some punches in.

01:20:51.120 Yeah.

01:20:51.280 There's no order in the chaos.

01:20:53.360 And that's France.

01:20:55.080 And I don't, I don't understand why France imported so many African Americans. 1.00

01:20:59.640 Like they'd have no history of slavery.

01:21:01.760 They have no real sins to repent for, for the past or anything.

01:21:07.360 So how did it get like that?

01:21:08.960 And that looked like, you know, that looked like Detroit or LA or any American city that's

01:21:15.300 Atlanta, New Orleans, you know, same behavior happens everywhere when you get a certain population

01:21:20.360 in, right?

01:21:20.800 Yeah, it's very true.

01:21:22.160 And then that, uh, congressman who had the, uh, sign up at the state of the union, black 0.96

01:21:27.120 people aren't apes. 0.86

01:21:28.100 Yeah.

01:21:28.600 Didn't age well with this clip.

01:21:30.280 Bad timing for that clip to come out.

01:21:32.260 And then this took place in Paris.

01:21:33.940 Yes.

01:21:34.880 And what were you saying before the show about Paris and Detroit?

01:21:38.360 Well, so Paris and Detroit, um, sister cities or something.

01:21:42.200 No, no.

01:21:42.660 Detroit, they used to call Detroit Paris of the Midwest during the heyday of, you know, automobiles

01:21:48.380 and manufacturing and, you know, Buick and all the auto manufacturers up there.

01:21:52.420 So it was a really nice place.

01:21:53.700 Right.

01:21:54.520 And then Detroit had its decay.

01:21:56.880 All the manufacturing of automobiles got shipped overseas.

01:22:00.080 It was gutted.

01:22:01.400 And then Detroit wasn't really the Paris of the Midwest anymore.

01:22:05.160 It was kind of in urban decay.

01:22:06.900 And now I think it is the Paris of the Midwest again.

01:22:09.740 It came back all the way around.

01:22:10.820 It came all the way back around.

01:22:11.760 But unfortunately, both cities are just down here now. 1.00

01:22:14.860 They're down here and they're like shit. 0.99

01:22:16.700 And they have fights like this. 1.00

01:22:17.920 So it is the Paris of the Midwest all over again.

01:22:21.000 It's back to Paris of the Midwest, but not in the good way.

01:22:24.280 Very true.

01:22:25.300 All right.

01:22:25.620 Our next story.

01:22:26.460 This woman got caught and fired for stealing the mail. 1.00

01:22:30.580 Investigators say 35-year-old Giovanni Jameson Lewis of Mastic Beach is facing multiple larceny

01:22:36.340 charges for stealing items from envelopes and greeting cards at the Oakdale Post Office.

01:22:41.000 I think it's a violation of our trust.

01:22:42.640 Investigators say on November 19th, they say she took two sealed envelopes containing greeting

01:22:47.240 cards and gifts out of the outgoing mail bin.

01:22:49.540 Very disrespectful to the post office, which is older than America, by the way.

01:22:53.940 Yeah.

01:22:54.580 And back in the day, a guy on a horse would deliver your letter anywhere in the colonies

01:22:59.660 for a third of a penny.

01:23:01.480 Yeah.

01:23:02.180 And now we have people opening your mail, hoping to steal a $30 anthropology gift card.

01:23:08.220 Yeah.

01:23:08.540 That's the jackpot for a girl like her. 0.97

01:23:10.320 You can see her cutting it open and then like with her long nails done, pulling it out from 1.00

01:23:15.700 underneath her sweatshirt. 0.98

01:23:17.240 Just an untrustworthy person and a mailman for like, if you're a low achieving black 1.00

01:23:24.080 woman, a mail carrier is kind of the end game. 1.00

01:23:28.220 You're in a union.

01:23:29.680 I think they're in a union.

01:23:31.020 Probably.

01:23:31.580 They get good benefits.

01:23:32.560 It's a federal employee or whatever.

01:23:34.960 And then you're putting that all at risk for like maybe $60.

01:23:38.560 Yeah.

01:23:38.920 And you're on camera doing like grand theft.

01:23:41.600 Yeah.

01:23:41.980 It's a federal crime because you're opening the mail and then you lose all your benefits.

01:23:45.860 And then you also lose your pension, which the federal government matches.

01:23:49.740 That's what I'm saying.

01:23:50.640 So many things working for you get a pension.

01:23:52.900 That's like so rare these days.

01:23:54.080 And now you're going to throw it all away for maybe a $20 birthday card from grandma.

01:23:58.420 And that's what we mean by low impulse control.

01:24:01.620 Like anybody who's got a big pension and a big career, they all could have stolen $80,

01:24:06.800 but they have the impulse control because they know this is bigger than me.

01:24:10.960 I have a pension.

01:24:11.900 I got a family.

01:24:12.660 This is a great gig.

01:24:14.140 I get annual raises that match inflation or beat it.

01:24:18.720 This is great.

01:24:19.980 And then she couldn't control it.

01:24:21.680 Couldn't control her impulse to steal.

01:24:22.940 We have another example here.

01:24:25.520 This Amazon worker needed to use the bathroom during his shift. 1.00

01:24:29.440 And this is where he went.

01:24:32.740 So he delivers it to the top of the stairs and then just goes and... 0.72

01:24:38.900 Whips his cack out and starts pissing on the carpet. 0.85

01:24:41.740 He just starts pissing on the floor. 0.99

01:24:44.040 And he's pissing like in a weird way too.

01:24:47.180 Like he's just spraying it everywhere.

01:24:49.260 It's like where people walk.

01:24:50.440 It's not even in the corner.

01:24:51.300 It's like right in the middle.

01:24:54.000 Yeah.

01:24:54.240 So Amazon guy pisses on carpet. 1.00

01:24:57.280 He just touched his dick. 1.00

01:24:58.420 And then now he's going to put the packages back on your stoop. 1.00

01:25:02.080 And you've been recording the whole time.

01:25:04.100 He never saw the ring cam.

01:25:06.080 That's not good.

01:25:07.380 Yeah.

01:25:07.900 And so, I mean, they steal from your mail.

01:25:11.000 They piss in your hallways.

01:25:12.320 My favorite part about this is like as a society, I think we have a little bit of awareness of Amazon drivers and how they don't have access to a bathroom usually.

01:25:24.600 They got to stay on a schedule.

01:25:25.680 They're on an app.

01:25:26.740 It automatically routes them.

01:25:28.640 There was like a couple of years back, everyone was talking about Amazon people pissing in bottles.

01:25:32.460 And so, like as a society, it was in our collective psyche to be like, yeah, every once in a while an Amazon driver is going to really have to pee.

01:25:40.020 That's pretty normal, right?

01:25:41.060 We expect that.

01:25:42.240 And so if you saw this guy pissing out in your bushes, you'd go, ah, I don't like it, but I get it.

01:25:48.420 There's a little American empathy for it.

01:25:50.740 You know, it could happen to anybody.

01:25:52.760 You know, you're not near a bathroom, right?

01:25:54.980 But then to take that goodwill that society has built in from understanding the trials and tribulations of an Amazon driver and then using it to piss on someone's carpet, I don't know what happens there.

01:26:06.300 I don't know what you're thinking, right?

01:26:07.800 That one's a little tough.

01:26:08.700 You're not really a participant in a good society if you're pissing on people's carpets, right?

01:26:13.260 Very true.

01:26:13.960 So speaking of not a good participant in society, this woman got caught on Tesla cam stealing someone's charger. 0.85

01:26:23.400 So it's an electric vehicle charging station, and she just yanks it out to Tesla and hands it to her boyfriend.

01:26:29.760 And she black, and she got a Tesla, and she know Tesla be recording, but she don't care. 1.00

01:26:36.740 She didn't think of it like that.

01:26:38.100 Yeah.

01:26:38.360 And then apparently at the end, when she was done, she didn't even plug it back into the other car.

01:26:43.280 She has left it.

01:26:44.100 Yeah.

01:26:45.000 Those are good neighbors.

01:26:46.700 That's your neighbor.

01:26:48.120 Thanks.

01:26:48.640 They help you out.

01:26:49.440 They ruin your charge, and hopefully you didn't need to go anywhere important, right?

01:26:53.160 Yeah.

01:26:53.400 Because I'm making that decision for you.

01:26:55.000 And then our final clip from Urban Decay, someone gets called out for jumping the fares, and this is how the woman dealt with that man.

01:27:02.920 Hey, what was the point of that?

01:27:04.840 Huh?

01:27:05.260 What was the point of that?

01:27:06.140 Everyone's required to pay the fare if you didn't realize.

01:27:10.920 Um, do you work for MTA?

01:27:13.060 First off...

01:27:14.060 Do you work for MTA?

01:27:15.020 Of course not, but this is the affair.

01:27:16.520 Do you get paid extra money to do that?

01:27:17.840 Huh?

01:27:18.340 Huh?

01:27:18.920 Do you get paid extra money to do that?

01:27:20.360 Of course not.

01:27:21.020 Oh, you don't want to open the door?

01:27:22.800 Of course not.

01:27:23.440 Of course not. 1.00

01:27:24.240 So mind your fucking business next time. 1.00

01:27:26.260 Okay? 1.00

01:27:26.880 All right.

01:27:27.420 All right. 1.00

01:27:28.480 Stupid ass nigga. 1.00

01:27:29.400 She kind of tricked him into agreeing at the end. 1.00

01:27:32.700 Well, he's autistic. 0.98

01:27:34.120 She's a thief who's bullying an autistic person afterwards and calling him the N-word. 0.99

01:27:39.460 So... 0.97

01:27:39.740 And then posted it like she got him.

01:27:41.540 Like, what's this snitch's problem?

01:27:43.220 Yeah.

01:27:44.120 And he likes structure and rules.

01:27:47.680 Oh, yeah.

01:27:48.420 And he doesn't like to see it.

01:27:49.660 And that's, you know, we take a page out of his book.

01:27:51.820 If you're that person, we'll send you a T-shirt.

01:27:54.080 Absolutely.

01:27:54.800 That's a nice American man.

01:27:56.080 Yep.

01:27:56.460 All right.

01:27:56.620 Well, that's the end of Urban Decay.

01:27:58.560 Don't get too down or too depressed.

01:28:00.180 Moving on to Uplifting Gold.

01:28:03.200 All right.

01:28:03.820 Our first story from Uplifting Gold.

01:28:05.680 A Chinese CEO gave away $26 million to his employees because they probably needed money.

01:28:15.640 You see how everyone's waiting?

01:28:18.240 And he said, take as much as you can.

01:28:19.880 And they all just dumped the money for everybody to take some.

01:28:31.680 And it was $26 million worth.

01:28:34.420 That doesn't seem that smart.

01:28:36.380 Just dumping the money.

01:28:38.000 But it's a high-trust society.

01:28:39.860 But then what?

01:28:40.280 A small girl can't get as much? 0.99

01:28:42.180 Why?

01:28:42.460 Need to take more?

01:28:43.320 I did the math.

01:28:44.160 I think everyone ended up getting about $3,000 to $4,000.

01:28:47.940 Okay.

01:28:48.620 Okay.

01:28:49.660 But it's very nice.

01:28:51.060 And I was going to say, I'm not trying to be negative and bring this back to Urban Decay.

01:28:55.100 Yeah.

01:28:56.520 But this...

01:28:58.160 One fair jumper.

01:28:59.940 Yeah.

01:29:00.280 One postal worker.

01:29:02.340 One Amazon guy.

01:29:03.720 One Tesla charger.

01:29:05.660 And all of a sudden, it's not as high trust.

01:29:07.240 This generosity doesn't work with every group.

01:29:09.680 Some groups, that would be chaotic.

01:29:11.780 Okay.

01:29:12.020 Very chaotic.

01:29:13.040 I'm not going to say who.

01:29:13.900 I'm not going to say which ones.

01:29:14.880 Totally.

01:29:15.460 All right.

01:29:15.760 Next, this woman is very talented with an elephant. 1.00

01:29:21.220 You think I can still do it?

01:29:23.160 She says, this is not AI.

01:29:24.720 You can't let me drop, you know?

01:29:26.780 You can't let me fall.

01:29:28.360 It's been a while.

01:29:30.360 You think we can do it?

01:29:31.640 You think we got this?

01:29:33.420 I do.

01:29:34.240 Wait, wait, wait for me.

01:29:35.220 Just wait for me.

01:29:36.000 And the elephant listens.

01:29:37.320 Elephants are smart.

01:29:38.120 Get ready.

01:29:39.200 All right.

01:29:39.580 Sit up.

01:29:40.600 Sit up.

01:29:42.020 Hold me tight.

01:29:46.880 Hold me tight.

01:29:48.800 Hold me tight.

01:29:49.940 Hold me tight.

01:29:51.940 We still got it, babe.

01:29:53.300 We still got it.

01:29:54.400 All right.

01:29:55.300 I got you. 0.99

01:29:56.040 I'd like to smack an elephant like that. 0.99

01:29:58.120 He likes to slap his belly. 0.94

01:29:59.900 They're big, friendly guys.

01:30:01.380 Oh, yeah.

01:30:01.860 And they know words.

01:30:03.620 Good job.

01:30:04.100 Bravo.

01:30:04.820 Get over.

01:30:05.120 Move out.

01:30:05.460 Right there.

01:30:05.800 No, come here.

01:30:06.240 Move out.

01:30:06.680 Get that camera.

01:30:07.420 Move out.

01:30:07.920 Be easy.

01:30:09.240 He's got a beard.

01:30:10.500 And watch him grab the camera at the end.

01:30:11.980 She says, get the camera. 0.98

01:30:12.780 And he knows what that means.

01:30:14.120 He says, pick it up.

01:30:17.080 He's got little hairs on his snout.

01:30:19.080 I don't like that part.

01:30:20.200 I like it.

01:30:22.140 Good.

01:30:23.860 Good.

01:30:25.820 Good job.

01:30:26.620 We did.

01:30:27.400 That's pretty cool.

01:30:28.800 All right.

01:30:29.680 Isn't that cool?

01:30:30.420 Yeah.

01:30:30.680 I like elephants.

01:30:31.560 I wish I had access to elephants.

01:30:33.640 But then you feel bad because like any access to elephants is probably some like Taiwanese 1.00

01:30:37.500 guy who's really mean to them when you're not there. 0.94

01:30:39.800 And hit him with the stick. 1.00

01:30:40.780 Yeah. 0.87

01:30:41.060 All the, you know, the tourist places or Thailand, wherever they have them.

01:30:45.360 You're like, you're always a little apprehensive about whether or not they're actually nice

01:30:49.360 to the elephants when you're not around.

01:30:51.200 That's so true.

01:30:52.200 But that seemed like a good elephant relationship.

01:30:53.640 And the elephant knew words and it was responsive.

01:30:56.020 Elephants are smart, dude. 0.82

01:30:57.600 Everybody knows that.

01:30:58.320 Elephants are smart.

01:30:58.620 It's like a giant dog.

01:30:59.720 Yeah.

01:31:00.080 Better than a dog.

01:31:00.920 Better than a dog.

01:31:01.780 It doesn't forget.

01:31:02.920 All right.

01:31:03.340 Next, this kid makes a model rocket and he'll never forget it.

01:31:07.680 All right.

01:31:08.220 Whenever you're ready.

01:31:09.900 Three, two, one.

01:31:12.840 Cross it.

01:31:14.420 I'm ready.

01:31:24.360 Isn't that cool?

01:31:25.440 Yeah.

01:31:25.640 You ever do rockets?

01:31:26.700 Yeah.

01:31:27.020 I did something like that.

01:31:27.960 I used to do rockets.

01:31:29.260 Rockets is good.

01:31:30.040 Yeah.

01:31:30.220 Rockets is fun.

01:31:31.020 You go out with the boys, see where they land. 1.00

01:31:33.780 It's fun shit. 1.00

01:31:34.640 Fun little kid shit. 1.00

01:31:35.420 And then you realize, oh, it shoots right up in the air. 1.00

01:31:37.460 I can aim this anywhere.

01:31:38.940 Yeah.

01:31:39.240 And then you aim it at cars and then some car pulls over and you run and hide in your house

01:31:43.060 and they knock on your door and then your mom goes, I don't think it was my kids.

01:31:46.340 He's saying it's not him.

01:31:47.700 He's saying it's not him.

01:31:48.800 He's right behind me.

01:31:49.640 The kids across the street, they're bad.

01:31:51.620 All right.

01:31:52.680 Next, Michael Jackson got saved in the snow.

01:31:56.000 Keep going, Michael Jackson.

01:31:57.880 Keep going.

01:31:59.080 We're still going.

01:32:00.940 Yeah.

01:32:03.580 Yeah.

01:32:04.140 That's nice.

01:32:14.160 Yeah.

01:32:14.520 It's uplifting.

01:32:15.380 See, no one gets along.

01:32:17.140 All right.

01:32:17.340 Our last clip is our Pure Americama Clip of the Week.

01:32:19.820 It's the Snow Salt Lady.

01:32:23.260 Sandy from JP doesn't buy ice melt from the store. 0.90

01:32:26.280 It's free.

01:32:27.320 We paid taxes. 0.76

01:32:28.460 So what the hell?

01:32:29.320 It's mine. 0.99

01:32:30.360 Nobody's got the balls to do it. 0.99

01:32:31.560 I got the balls to kneel down at midnight scraping salt up in this outfit, so. 1.00

01:32:35.960 What the hell? 0.99

01:32:36.600 How much do you usually collect per season? 0.76

01:32:38.680 Oh, I've had 20 gallons so far.

01:32:41.220 Whoa.

01:32:42.560 Usually it's down here.

01:32:43.960 That's where they sit and do their business.

01:32:45.820 Ah.

01:32:46.220 In the bushes.

01:32:48.360 Let's be honest now.

01:32:49.560 We all got to go.

01:32:50.440 It's amazing more people haven't thought of this.

01:32:52.500 Well, some guy collects it.

01:32:53.480 It's pretty cool.

01:32:54.680 Not really. 1.00

01:32:55.840 It's kind of kooky old lady shit. 1.00

01:32:57.680 She's got the balls to do it. 1.00

01:32:58.820 I'm the only one who has the balls to do it. 0.99

01:33:00.160 Yeah, I don't think that's what it takes. 0.98

01:33:01.720 I don't know if it's that.

01:33:03.160 All right.

01:33:03.400 Well, that's the end of the show.

01:33:04.740 Thank you guys for watching all the way through.

01:33:06.660 No shout outs today because I still need a break.

01:33:09.040 I think we're going to come back and do shout outs on Friday and we're going to make

01:33:12.460 them a Friday thing only.

01:33:14.280 Whatever, brother.

01:33:15.320 Whatever.

01:33:15.880 I just can't do it.

01:33:16.980 I get it.

01:33:17.720 I have like this running list of all these shout outs and I don't know.

01:33:22.140 We'll get back to it.

01:33:23.340 It's just there's seasons for it.

01:33:24.880 You know, there's no rules.

01:33:26.320 You don't have to do anything, brother.

01:33:28.460 I know.

01:33:28.900 So I don't mean to let you down.

01:33:31.220 Yeah.

01:33:31.760 Hey, here's a poll that I just saw right before the episode ends.

01:33:35.200 New poll.

01:33:35.740 50% of Canadians have an unfavorable view of India.

01:33:39.800 So, you know, Nav, that's what we're kind of talking about.

01:33:43.480 We're letting other people learn the lessons first.

01:33:46.280 Yeah.

01:33:46.500 Who would know?

01:33:47.200 Who would know if adding Indians is good or not? 1.00

01:33:49.640 Canada.

01:33:50.200 They just did it.

01:33:50.940 The Indian guy or Canada. 0.89

01:33:52.780 And 57% and they didn't have a choice and then they dumped all the Indians on them and 1.00

01:33:57.300 they didn't want them.

01:33:58.620 How does that work?

01:33:59.460 Yep.

01:34:00.300 All right.

01:34:00.540 Well, that's the end of the show.

01:34:01.400 Thank you guys for watching all the way through.

01:34:04.080 FluckusTalks.com for a bonus land.

01:34:05.860 30-minute bonus land dropping tomorrow.

01:34:07.280 We have really good stories we're going to be covering.

01:34:09.480 So we'll see you in bonus land and then we'll see you Friday.

01:34:11.360 We'll see you Friday.

01:34:11.440 We'll be right back.

01:34:41.440 We'll be right back.

01:35:11.440 We'll be right back.

01:35:41.440 We'll be right back.

01:36:11.440 We'll be right back.

01:36:41.420 We'll be right back.

01:37:11.400 We'll be right back.

01:37:41.380 We'll be right back.

01:38:11.380 We'll be right back.

01:38:41.380 We'll be right back.

01:39:11.360 We'll be right back.

Fleccas Talks Podcast - March 03, 2026

AMAZON WORKER CAUGHT DOING THE UNTHINKABLE

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