Fleccas Talks Podcast - RING CAM SEES ALL

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00:00:59.980 All right. Welcome back to Fluckus Talks, the podcast episode 333.

00:01:05.540 Today on the show, war with Iran has begun again.

00:01:10.000 We're going to go over the details there.

00:01:11.760 Then Nab from Fresno called me hateful because of my comments from last episode.

00:01:16.300 So we're going to address that.

00:01:18.000 Then everyone is feeling bad for themselves and cringe of the week.

00:01:20.980 And last but not least, in Urban Decay, we have another fake hate crime, this time at Chipotle.

00:01:27.760 All this and more.

00:01:28.800 It's Fluckus Talks, the podcast episode 333, ranked the best news podcast of all time.

00:01:38.920 Because words are just words until action actually starts.

00:01:42.500 And actions speak louder than words.

00:01:44.720 But at the same time, words speak louder than actions because sometimes it's the right thing to do.

00:01:48.900 It's the right thing to do.

00:01:50.060 Very cool.

00:01:51.060 Very cool.

00:01:52.920 Fluckus Talks, the podcast featuring Richard Graham.

00:01:55.900 Richard Graham.

00:01:56.720 All right.

00:02:02.480 One for one on the intro, as always.

00:02:05.020 Guys, I don't know about you, but during the break, my diet and health routine kind of went off the rails.

00:02:11.140 Candy, cake, Chinese, late night ordering pizza, stuff like that.

00:02:14.860 Desserts, lots of desserts.

00:02:16.520 It got pretty bad pretty fast.

00:02:18.480 But now that we're in the new year, it's time to reset and get back on track.

00:02:23.560 Let's undo all that.

00:02:24.740 And for a new year's resolution, let's actually give our bodies what it needs.

00:02:28.360 And for me, this fresh start starts with Cove Pure.

00:02:31.300 Here's the thing.

00:02:32.220 Everyone starts the new year with new diet routines, workouts, supplements, all of these things.

00:02:37.680 But they ignore the most basic thing that is the most important.

00:02:40.840 The water we're drinking.

00:02:42.440 Even mild dehydration impacts energy, focus, and metabolism.

00:02:45.880 And when you think about all the garbage that's in our water, you're starting behind the curve before you even begin.

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00:03:08.560 And what I like most about Cove Pure is it makes water taste good.

00:03:12.280 It's clean, it's crisp, it's refreshing.

00:03:14.780 And I've actually been drinking more water lately and I've been cutting back on my diet sodas.

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00:03:21.440 You don't need to install special hoses or drill holes or call a plumber.

00:03:25.460 You just plug it in and you're good to go.

00:03:27.860 Fresh water is on the way.

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00:03:32.900 So this year, let's make a New Year's resolution that actually sticks.

00:03:36.840 Let's improve our health by improving our water.

00:03:39.700 Right now, you can get $200 off for a limited time when you use my Cove Pure link.

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00:03:58.240 And let's get back on track for the new year.

00:04:00.260 Thank you to Cove Pure for sponsoring.

00:04:01.600 Let's get into housekeeping.

00:04:04.340 All right.

00:04:05.020 Thank you to Cove Pure for sponsoring.

00:04:06.500 Thank you, Cove Pure.

00:04:07.680 As you guys know, as I mentioned a few episodes ago, I completely cut out Diet Cokes and Frescas.

00:04:12.780 Believe it or not, I'm at zero.

00:04:14.560 And now I'm just ripping Cove Pure and it tastes better and I'm getting less puffy, less inflamed.

00:04:20.460 Oh, okay.

00:04:21.100 I actually do feel really good.

00:04:22.560 Good for you.

00:04:23.080 How's everyone doing?

00:04:24.300 I'm good.

00:04:25.140 I'm going to skip the puffy and inflamed comment.

00:04:27.480 I could have swung on you there for no reason, but I'd hate to do that with a sponsor involved,

00:04:32.240 you know?

00:04:32.760 Yeah, you can't.

00:04:33.460 I can't do that.

00:04:34.460 So I'm good.

00:04:36.120 Episode 333.

00:04:37.820 Episode 333 on 3.3.

00:04:41.080 We were required to do that from our Illuminati handlers.

00:04:44.560 From the handlers above and Fleckes kept telling me, and well, I'll read this.

00:04:48.760 The lunar eclipse peaks on 3.3 at 3.33 a.m.

00:04:53.120 The implications are dire.

00:04:55.160 And Fleckes keeps coming up to me and telling me about episode 3.33 on 3.3.

00:04:59.680 It's crazy.

00:05:00.520 How crazy is that?

00:05:01.600 And I go, yeah, it's a coincidence.

00:05:03.220 It's lucky or unlucky, whatever you care.

00:05:05.780 And he goes, no, but isn't it crazy?

00:05:07.460 Like there's some extra leg where I have to believe more.

00:05:10.800 And I just don't.

00:05:12.040 It's a coincidence.

00:05:12.980 That's the end.

00:05:13.620 There are no coincidences.

00:05:15.460 You call it coincidence.

00:05:16.560 I call it a God wink.

00:05:17.820 Some people call it synchronicity or like a simulation glitch.

00:05:21.660 Yeah.

00:05:21.880 I say it's a God wink.

00:05:23.220 And thank you, God, for the sign.

00:05:25.180 We will continue down this path you've laid out.

00:05:27.880 The only time there are no coincidences is in like a murder investigation.

00:05:32.220 That's when I'll say, yeah, it's more than a coincidence.

00:05:35.220 But think about all the-

00:05:36.240 Random number shit.

00:05:37.560 But think about all the things that led to this.

00:05:40.100 Like every vacation we took, how the calendars laid out.

00:05:43.180 Times we missed a random episode when people were feeling sick or, you know, taking a trip

00:05:47.960 or something.

00:05:48.840 And then all of a sudden it's episode 333 on 3-3.

00:05:52.980 It ends in a coincidence.

00:05:55.360 Yes.

00:05:55.840 That's how it goes.

00:05:56.920 You guys know what it is.

00:05:58.520 I think numerology people get a little crazy.

00:06:01.740 They talk in a way that is right past me.

00:06:05.940 Like, oh, yeah, 1056.

00:06:07.300 And you know what that is?

00:06:08.020 Divided by two?

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

00:06:11.100 Yeah, I could probably do some math too.

00:06:12.560 I'm not gonna.

00:06:13.640 I'm just living in reality.

00:06:15.040 But sorry, I'll let you enjoy it.

00:06:17.340 It is a big coincidence.

00:06:18.580 It is a crazy coincidence.

00:06:19.660 And imagine if we were like a baseball podcast and it was episode 333 on 3-3.

00:06:25.500 It's like, eh.

00:06:26.600 Like we are a podcast that talks about conspiracies and politics and it's 333 on 3-3.

00:06:32.120 Sure.

00:06:32.700 Crazy.

00:06:33.220 Sure, sure.

00:06:33.820 Crazy.

00:06:34.300 All right.

00:06:34.660 All right, let's get into the show.

00:06:35.800 Obviously, the main story of the day is going to be Iran.

00:06:38.840 We're going to talk about that in a few minutes.

00:06:40.820 I wanted to point some stuff out first.

00:06:44.340 Okay.

00:06:44.700 It's like, I want to point some, whoa, stuff out first.

00:06:49.800 Getting speed wobbles on the highway here.

00:06:51.760 The speed bumps, boom, boom, boom, boom, boom, boom, boom, boom.

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

00:06:58.040 And I wanted to point to this graph because it kind of blew my mind.

00:07:02.080 Yeah, and we had covered the explosive growth that was talked about for the autism funding

00:07:08.060 in the state of Minnesota.

00:07:08.880 We've already covered this before.

00:07:10.100 But starting with 2017, where it was $1 million reimbursed, and then $6 million in 2018, to

00:07:18.200 end all the way at $343 million from the Department of Human Services for autism.

00:07:25.540 Autism program repayments.

00:07:27.500 And instead of being like, what happened?

00:07:29.920 How did all these kids get autistic?

00:07:31.980 You know, like, we need to test the water.

00:07:34.240 We need to test the vaccines.

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

00:07:37.060 And this was all during Tim Walz's control of the state.

00:07:41.380 Yeah, Tim Walz got in in 2018.

00:07:43.380 And before that, it was about $1 million a year.

00:07:45.920 Then his first year, $6 million.

00:07:47.260 And by the end, $343 million, 35,000% increase.

00:07:52.700 So either in on it or a retarded governor.

00:07:55.920 And it's your choice.

00:07:57.080 You can make the choice.

00:07:58.060 I go with a mix of both.

00:08:00.140 He's half in on it and then half, nobody's going to notice this, right?

00:08:04.020 And I think they put him in because he's a retarded governor.

00:08:07.120 And then that makes it easier to make him in on it.

00:08:09.280 For sure.

00:08:09.820 So I think that's what it was.

00:08:11.100 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.

00:08:20.620 We have some stats here from basically, on the right, it's 2019 to 2024.

00:08:26.440 GDP growth, job growth.

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

00:08:28.660 Yeah, it went down.

00:08:29.560 Labor force growth, per capita income growth.

00:08:32.000 It basically declined in every single metric and in a big way.

00:08:37.600 So it went from 18th to 33rd, 20th to 39th, 22nd to 40th.

00:08:42.640 And I think Minnesota, we had talked about before, had a nice budget surplus.

00:08:46.800 They spent all that and definitely part of it on the autism.

00:08:50.260 If you've seen it, it went from $1 million to $343 million.

00:08:52.680 That's a $343 million.

00:08:54.660 Investors are dreaming of that type of return everywhere.

00:08:57.180 And unfortunately, it just went right to the pockets of Somalis.

00:08:59.860 Yeah, and then these are the rankings within the United States.

00:09:03.780 Out of 50 is the key.

00:09:05.500 39th, 40th, 46th.

00:09:07.580 That's all bad out of 50.

00:09:09.080 Yeah, that's near the bottom.

00:09:10.400 Very much near the bottom.

00:09:11.560 And then the education system got worse too.

00:09:14.660 Tim Walts comes into office in 2018 when things are pretty high.

00:09:17.840 Yeah.

00:09:18.160 Before the decline starts.

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

00:09:23.200 Less than half of all students met grade level expectations in math and reading.

00:09:26.540 And yeah, it just went down and then bottomed right in the middle or towards the end of COVID and now has steadied out.

00:09:33.440 And they're like, okay, it's steadied out.

00:09:35.480 Thank God.

00:09:36.100 It's steadied out at way down.

00:09:37.920 But at least the Somalis got their scam dollars and Tim Walts keeps getting elected.

00:09:41.600 Yeah, for sure.

00:09:42.540 We have some news out of Arizona about SNAP benefits.

00:09:46.260 We'll let this guy explain it.

00:09:47.520 We're outside the state capitol tracking how lawmakers are dealing with a reported drop in food assistance for roughly 380,000 families across Arizona.

00:09:58.300 New data shows over 41% of Arizonans have lost their SNAP benefits due to strict new federal laws.

00:10:04.860 Congress agreed last July on a funding plan which requires more adults to work to keep their benefits.

00:10:11.460 Governor Hobbs is now proposing a budget that would increase staffing and funding for the SNAP program.

00:10:16.740 Arizona lawmakers have yet to agree on a plan that would help thousands of families across the state.

00:10:22.660 So down 41%, 41% of people are now off SNAP because of the new restrictions and the making it harder to get it, which sounds good.

00:10:32.220 But unfortunately, there was a 100% increase during COVID.

00:10:35.920 So we're down 40% after the 100% increase from six years ago.

00:10:39.940 Yeah, this chart we've shown before, federal food stamp spending in billions, and you see the straight line up during the COVID time, and it also evened out at the new higher number.

00:10:50.900 So unfortunately, this is good.

00:10:52.560 That was part of the one big beautiful bill, which the main thing they did was just say, all right, we're tightening it up for able-bodied adults who can work, who are really ripping us off.

00:11:02.140 Basically, lifers who are underemployed or not motivated to get it, but they're able-bodied.

00:11:08.820 And then that included some minimum hours worked per week as well.

00:11:12.660 So just to get us back to where we were before the country got looted, right?

00:11:17.100 Yeah, exactly.

00:11:17.960 And we're still above what it was, you know?

00:11:20.060 So it's one of those things we talked about where we're not in a golden age.

00:11:24.580 We're just slowing down the bleeding, and that's like a perfect example of exactly that.

00:11:29.080 And it's good.

00:11:29.600 It's better politics, you know, able-bodied adults.

00:11:31.800 No American really signed up to support an able-bodied adult.

00:11:36.160 When was that written?

00:11:37.380 When was that voted on?

00:11:38.520 Never really was, but it happens all the time.

00:11:41.340 Especially when the able-bodied adults aren't even American.

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

00:11:45.840 Yeah, and that was part of it too.

00:11:47.060 The one big, beautiful bill needed citizenship.

00:11:51.120 So that's also part of it.

00:11:52.800 Another stat I saw, which I thought was interesting, came out of Michigan.

00:11:56.040 It says there's 280,000 illegals approximately, and there's a 190,000 home housing shortage.

00:12:03.060 Yeah.

00:12:03.560 So it's funny how that works.

00:12:04.980 Indiana Jones, that.

00:12:06.600 Get the illegals out and the shortage up, and all of a sudden we're back, you know?

00:12:10.340 All right, let's wrap this section up.

00:12:11.780 Last episode, remember we mentioned how the Democrats always allude to the

00:12:16.000 11 million, 10 to 12 million illegals.

00:12:19.100 Chuck Schumer mentioned that.

00:12:20.600 He calls for a path of citizenship for 11 million illegal immigrants already in the U.S.

00:12:24.860 I found this document from 1975 and listened to what they say when it comes to total number of illegals.

00:12:31.360 10 to 12 million aliens living illegally in this country.

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

00:12:35.960 That was like 50 years ago.

00:12:37.380 1975.

00:12:38.560 You know how long ago that was?

00:12:39.760 Yeah, and keep in mind, like, more than 10 million illegals came in recently just under Joe Biden alone.

00:12:45.880 Yeah, yeah.

00:12:46.720 So they keep faking it.

00:12:48.400 So we want to talk amnesty.

00:12:50.600 All right.

00:12:51.000 It's the same thing, the joke we made last week.

00:12:52.860 Everyone raise your hand.

00:12:53.780 Who's here?

00:12:54.500 Let's figure out how many there are.

00:12:56.280 And it's not 10 to 12 million, guys.

00:12:58.220 It's going to be 60.

00:12:59.820 Yes.

00:13:00.660 All right, let's get to Iran.

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00:13:28.320 BetMGM operates pursuant to an operating agreement with iGaming Ontario.

00:13:32.540 Obviously, the story of the week.

00:13:34.540 Another war episode.

00:13:36.040 Another war podcast.

00:13:37.100 I hate the war podcast.

00:13:38.100 We don't like war podcasts.

00:13:39.960 But I want to start off with the tweet I thought was funny.

00:13:43.120 I'm not mad we blew up the Ayatollah.

00:13:45.140 I'm just resentful that it helped Israel.

00:13:48.300 And that does resonate with me.

00:13:50.820 Like, I don't like endless wars.

00:13:53.580 I don't think that's what this is going to be.

00:13:54.900 But I hate being on the same side as happy Lindsey Graham and happy Netanyahu.

00:13:59.400 Yeah.

00:13:59.860 Happy Mark Levin.

00:14:01.200 He's been screaming all day and now it's the only time he's not screaming.

00:14:04.400 He's, like, comfy.

00:14:05.080 This is like a warm bottle of milk for him.

00:14:07.420 Invading Iran is a warm bottle of milk for Mark Levin, right?

00:14:10.400 So I'm not – yeah.

00:14:11.580 He, like, gets in his comfy bed and he goes to sleep finally.

00:14:14.380 He got what he wanted.

00:14:15.560 And this has been years in the making.

00:14:17.180 And I'm not pro-Ayatollah, obviously.

00:14:20.180 Yeah.

00:14:20.360 But everyone's saying, oh, we're liberating the people of Iran.

00:14:23.240 We need to liberate the people of Frisco, Texas.

00:14:25.420 Yeah.

00:14:25.640 Dearborn, Michigan needs some liberation.

00:14:27.620 Minneapolis needs liberation.

00:14:29.160 I think we got a lot of stuff to work on.

00:14:32.080 Yeah.

00:14:32.280 And you're right.

00:14:33.340 Well, let's get into it first because Marco Rubio just did a press conference yesterday

00:14:38.060 basically talking about how this was the U.S. getting in on it with Israel because they

00:14:44.680 knew Israel was going to attack or they were going to launch an op and then the response

00:14:49.780 from Iran would be to bomb American bases in the countries surrounding it, right?

00:14:54.960 Or Iran.

00:14:55.580 Did I say Iraq?

00:14:57.260 Anyway, so this was basically Israel's op that we said, all right, we'll get in on it

00:15:02.180 too because we know we're going to be part of the fallout.

00:15:04.120 So we want the op to be more defeating to Iran so that when they hit us back, it's not

00:15:11.760 as bad, right?

00:15:12.740 And so like that tweet, it's not only that we're on the same side as Israel or it helped

00:15:19.460 out Israel.

00:15:20.300 It's like we followed their lead on this conflict.

00:15:22.900 And so not very good.

00:15:26.220 And yeah, there is like this, once the fallout happened, like the attack happened, there's

00:15:31.000 no stopping it, right?

00:15:32.280 There's no going back in time.

00:15:33.680 But now everyone's like, we just liberated so many Iranians and we're liberating these

00:15:38.280 people.

00:15:38.740 And it's like, I don't fuck with that.

00:15:40.680 I wasn't interested in that.

00:15:43.100 That's 5,000 miles away in the Middle East.

00:15:45.320 It's not really in my purview, right?

00:15:47.480 Yeah, it's true.

00:15:48.280 And yeah, I don't want to get too ahead of myself.

00:15:50.900 Let's.

00:15:51.080 Yeah.

00:15:51.220 And then also all these people are going to become refugees.

00:15:53.640 And then it's easy to say, oh, these refugees, where are they going to go?

00:15:56.760 Europe?

00:15:57.660 They already did that.

00:15:58.840 Straight to Europe.

00:15:59.400 They wouldn't even notice.

00:16:00.300 They wouldn't even notice if you spread Iran out all throughout Europe.

00:16:03.460 It's already.

00:16:03.880 They already did that.

00:16:04.640 There's 50 million Muslims in Europe already.

00:16:06.780 Yes.

00:16:07.220 We have some clips of missiles.

00:16:09.260 Yeah.

00:16:09.580 Let this one go.

00:16:11.220 That's good missling.

00:16:12.340 Whoa.

00:16:12.640 Did you see that?

00:16:14.520 That was fast.

00:16:19.440 They're ripping.

00:16:20.540 Yeah.

00:16:20.920 Crazy.

00:16:21.360 Goes crazy.

00:16:22.480 Missiles.

00:16:23.020 Don't mess with missiles.

00:16:24.220 Missiles will get you.

00:16:25.520 They'll kill you.

00:16:26.080 And then someone said, going to be a suitcase nuke attack on U.S. soil because Kash Patel

00:16:31.460 skipped an emergency briefing to ride the grave digger.

00:16:34.140 What is that?

00:16:34.840 A monster truck?

00:16:35.620 It's the monster truck.

00:16:36.780 Okay.

00:16:37.320 So I thought that was just funny.

00:16:38.720 We have another missile here.

00:16:40.280 This is a drone heading into a civilian building in Dubai.

00:16:48.360 That's crazy.

00:16:49.240 Echo's hard.

00:16:49.880 Could have been you.

00:16:50.840 Yeah.

00:16:51.080 That's wild.

00:16:51.860 Five floors above you, right?

00:16:52.840 And then we have another example of missiles here with some advanced technology.

00:17:03.140 These were Iranian missiles, right?

00:17:06.100 Retaliatory.

00:17:06.960 I think so.

00:17:11.680 That was in Jerusalem, right?

00:17:13.660 Crazy.

00:17:15.320 And then we have a picture of a missile, an advanced missile here, and we have some context

00:17:20.380 as to what it is and what it does.

00:17:22.260 Yeah.

00:17:22.660 And I think this is speculation, but somebody said, looks like warheads reentering accompanied

00:17:27.560 by large numbers of penetration aids.

00:17:30.360 This is something new from Iran.

00:17:32.580 And so I think that's kind of like distractions, little penetration aids, things that will take

00:17:38.160 up the defensive mechanisms of Israel, like the Golden Dome.

00:17:41.720 Yeah.

00:17:42.040 Kind of distracted is what it looks like to me.

00:17:43.620 I'm not positive on that, though.

00:17:45.200 We do have some context and explanation of that.

00:17:47.640 Can you give that a read?

00:17:48.540 These images tell you everything.

00:17:50.280 The Pentagon briefings will not.

00:17:51.740 What you are looking at is an Iranian ballistic reentry vehicle escorted by a swarm of penetration

00:17:56.360 aids, decoys engineered to simultaneously exhaust and blind every layer of the defensive

00:18:01.460 stack, Patriot in the terminal phase, Thad in the upper atmosphere, Arrow 3 in space.

00:18:07.220 This is a purpose-built solution to a specific problem.

00:18:09.740 And the problem Iran was solving was the entire architecture Washington spent hundreds of billions

00:18:14.320 constructing and sold the world the lie that these systems are impenetrable.

00:18:18.660 Capacity was already dangerously low after last June and interceptors are being consumed

00:18:22.860 faster, blah, blah, blah.

00:18:24.640 So it helps get through the defensive structure of Israel, the Iron Dome, all the missile defense

00:18:29.440 systems.

00:18:29.600 So like all the little specks and then there's the big thing and then the little specks go

00:18:33.260 into the dome and then they use dome resources to attack the specks.

00:18:37.820 It's overwhelming.

00:18:38.380 It overwhelms and allows the big one to boom.

00:18:41.100 Yeah.

00:18:41.720 Thank you.

00:18:42.520 There you go.

00:18:44.280 Geopolitical is not my weakness.

00:18:45.820 Yeah.

00:18:46.060 Simpleton geopolitical shit, right?

00:18:47.740 Yeah.

00:18:48.220 So that's not that.

00:18:49.060 Goes boom.

00:18:49.920 It does goes boom.

00:18:50.880 And then what do we have here?

00:18:51.900 This is another one.

00:18:52.800 Ships.

00:18:53.680 That was a big part of it.

00:18:54.700 So 11, Iran had 11 ships, I believe in the Strait of Hormuz area.

00:18:59.820 And now those are all zero.

00:19:01.500 The Sea of Oman.

00:19:02.640 Yeah.

00:19:02.840 Or something like that.

00:19:03.580 Something like that.

00:19:04.240 Yeah.

00:19:04.660 Yeah.

00:19:04.860 So, I mean, that's the thing.

00:19:06.280 We hit their leadership.

00:19:09.140 So it was never a regime change war, but we killed all their regime.

00:19:12.900 That was important.

00:19:14.200 So the regime is changing.

00:19:15.380 The regime is changing, whether you like it or not.

00:19:17.280 And then Trump was saying, oh, the guy I had picked, he died too in that.

00:19:21.460 So we don't even have a regime change chain of custody or whatever.

00:19:26.600 It's not even good.

00:19:27.320 Now somebody has to show up out of nowhere.

00:19:28.960 Someone's next one up.

00:19:29.940 We got a lot of the ships.

00:19:31.060 We got a lot of the missile factories.

00:19:34.160 And so, you know, we went heavy this time.

00:19:37.320 And then one of the things that was interesting about last time, the B-2 bombers or the bunker

00:19:44.480 busters coming in and doing targeting the nuclear facility specifically, was that that

00:19:48.680 was kind of like hands off, like one op and done.

00:19:50.880 This was more comprehensive.

00:19:52.600 And then you can see the more comprehensive response in the Iranian reply to it.

00:19:56.700 There was a lot more firing at basically every country in the immediate vicinity where the

00:20:01.660 U.S. had a military base.

00:20:03.800 So there's a little more, it's a little more serious this time.

00:20:06.620 Yeah.

00:20:06.820 We have four dead so far.

00:20:08.640 And I think that number went up.

00:20:09.960 I think it went up to six, but.

00:20:11.780 And it sounds like Cuba's next on the list.

00:20:13.740 We're going to keep doing this.

00:20:15.220 Yeah.

00:20:15.700 And it's not a regime change.

00:20:16.960 And then it's not regime change.

00:20:18.540 And, but think about how the people of Cuba, we just liberated them.

00:20:21.560 Right.

00:20:22.280 And the regime is dead.

00:20:23.980 Yeah.

00:20:24.460 But so, you know, we're getting involved in shit that's not really in our purview.

00:20:29.480 There's always a way to justify it or spin it and say, well, yeah, this was good.

00:20:34.920 We needed to do this.

00:20:35.920 And all these people want to be liberated, but it's just not really the bread and butter.

00:20:40.600 We got, we got cities in America that need to be liberated, brother.

00:20:44.120 Yeah, that's very true.

00:20:45.300 Unfortunately, you need Congress, congressional approval to liberate those cities or something.

00:20:49.920 But it's just, it's ugly.

00:20:52.420 I don't want to be in.

00:20:53.220 I don't want to be involved.

00:20:54.440 Right.

00:20:55.140 Yeah.

00:20:55.620 The only nice part is it's not like the war in Iraq where it takes 20 years and costs

00:21:00.660 five trillion dollars or whatever.

00:21:02.860 Yeah.

00:21:03.180 It's not, it's not a money laundering scheme yet.

00:21:05.980 Yeah.

00:21:06.420 But it definitely, a little, one false flag, one different thing here.

00:21:10.020 And you're dragged into something you don't want to be dragged into, you know?

00:21:13.080 Yeah.

00:21:13.460 It's like wearing loose clothes around that heavy whipping Chinese live leak machinery.

00:21:18.660 You're like, ha ha, this feels great.

00:21:20.760 I'm loose.

00:21:21.500 And then all of a sudden you get spun into the machinery because you were there.

00:21:24.240 You shouldn't have been there.

00:21:25.160 Right?

00:21:25.480 Mm-hmm.

00:21:26.180 So maybe there's a metaphor there.

00:21:27.520 Maybe I have to work that out a little bit.

00:21:28.840 Well, I think everyone knows exactly what you're talking about.

00:21:31.040 You don't want to get sucked into the Chinese machinery.

00:21:33.520 Yeah.

00:21:34.040 That's it.

00:21:34.700 Right?

00:21:35.320 And we're closer to the machinery than ever.

00:21:37.220 And our clothes are loose.

00:21:38.680 Yeah.

00:21:38.900 And there is a fan blowing.

00:21:40.540 Yeah.

00:21:40.760 All right.

00:21:41.740 I'm going to do this.

00:21:42.680 It's like a Final Destination scene where, like, the water starts shaking and all of a sudden you're sucked into the Chinese machine.

00:21:47.520 The bolt falls out.

00:21:48.460 Yeah.

00:21:48.900 All right.

00:21:49.580 Next, we're going to go fast through this because it's kind of a me thing.

00:21:52.700 It's kind of like a passion project for me.

00:21:55.160 There were orbs spotted before the bombs went off in Iran.

00:21:59.800 And as you can see there, there's these bright orbs.

00:22:02.660 No one knows what they are.

00:22:03.880 Is it aliens?

00:22:05.080 Is it advanced tech based on aliens?

00:22:07.820 Probably one or the other.

00:22:08.920 Okay.

00:22:10.200 Cool.

00:22:10.760 Keep in mind what the Bible says an angel looks like.

00:22:13.680 Does that look like the orb?

00:22:15.100 Yeah.

00:22:15.820 It looks exactly like the orb.

00:22:16.980 Yeah.

00:22:17.240 Wow.

00:22:17.840 And that's interesting.

00:22:18.760 And then I want you guys to have some historical context here.

00:22:23.400 Aliens and all these things aren't like, you know, the last 50 years.

00:22:27.720 This has been going on for a long time.

00:22:29.560 Can you read what Thomas Jefferson saw?

00:22:32.000 A UFO.

00:22:33.180 In 1800, while serving as Vice President, Thomas Jefferson recorded a phenomenon reported by the naturalist and astronomer William Dunbar.

00:22:40.220 Dunbar described a fast-moving crimson red cigar-shaped luminous object roughly 70 to 80 feet long traveling about 200 yards above the ground.

00:22:48.400 So there you go.

00:22:49.460 So, aliens.

00:22:50.540 So, aliens again.

00:22:51.640 And then we're going to wrap up our little mini-aliens section with a prophecy from this guy who predicted what's happening right now.

00:22:58.140 One thing she told me was, when you see Iran and Israel exchanging missiles, and I saw it, the way she tells me is a vision of, I see it like a living picture screen.

00:23:11.780 I could see the rockets flying.

00:23:13.680 Then all of a sudden, orbs appeared out of the ocean and everywhere.

00:23:17.140 And I told the government, if this happens, the orbs are going to appear and wake people up and stop it.

00:23:26.280 That's what she told me.

00:23:27.900 So, that could happen.

00:23:29.380 Okay, sure.

00:23:30.320 We're getting ahead of that.

00:23:31.540 Yeah, yeah.

00:23:32.460 Orbs.

00:23:33.020 Be on the lookout for orbs in any heavy potential World War III zone, right?

00:23:37.140 Yeah, or maybe stopping the nukes like they've done in the past.

00:23:39.900 All right, and then with the death of Khamenei, the Ayatollah, New York Times had kind of a nice article about him and an obituary.

00:23:50.400 We'll get to the details, but can you read the headline first?

00:23:52.500 Ayatollah Ali Khamenei, hardline cleric who made Iran a regional power, dies at 86.

00:23:58.520 And that guy killed like 50,000 people.

00:24:01.500 Yeah, yeah.

00:24:02.580 Really bad stuff.

00:24:03.760 And then this is how they described Scott Adams when he died.

00:24:07.120 Well, this is people first.

00:24:08.700 It says, Scott Adams, disgraced Dilbert creator, dies at 68.

00:24:12.300 Dilbert was pulled from wide circulation after Adams' racist rant in 2023.

00:24:16.780 And then a New York Times version, too.

00:24:18.660 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.

00:24:27.200 So, that's how they do it.

00:24:28.540 And that's all because Scott Adams said he doesn't recommend living near black people.

00:24:33.000 Which is pretty standard advice.

00:24:35.540 Anybody with an eye or in a brain can figure that one out.

00:24:38.400 And then we have a Washington Post paragraph.

00:24:40.720 Can you read that, please?

00:24:41.520 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.

00:24:53.960 He was known to be fond of Persian poetry and classic Western novels, especially Victor Hugo's Les Miserables.

00:25:00.860 An avuncular.

00:25:01.960 I haven't heard that word maybe since college.

00:25:04.660 Yeah.

00:25:05.220 That's like a word my mom probably knows.

00:25:07.640 Big scrabble points on that one.

00:25:09.060 Big scrabble points.

00:25:09.960 Not a challenge.

00:25:11.000 Avuncular.

00:25:11.700 And then you look up avuncular.

00:25:13.180 Fuck!

00:25:14.160 That's so true.

00:25:15.100 All right.

00:25:15.600 And so that's how the media is describing this regime change.

00:25:19.240 And also in the past, we're obviously dealing with some, like, lone wolf terrorist sleeper cell things now.

00:25:25.260 That's the bigger part of it.

00:25:26.460 Yeah.

00:25:26.760 And that's what we're going to get into.

00:25:27.820 But we have an article that kind of is an interesting point about that.

00:25:33.120 Apologist, basically.

00:25:34.780 In Iran, this is from CNN, in Iran, death to America doesn't always mean what it seems.

00:25:40.780 Metaphorically.

00:25:41.380 They'll write a similar article for the kill the boar in South Africa, too.

00:25:45.320 Like, that's just a political slogan.

00:25:47.040 It's a song.

00:25:47.960 And then, like, a white guy is getting like...

00:25:49.280 Yeah, exactly.

00:25:50.900 And I'm assuming terrorist attacks are going to go up.

00:25:54.100 We saw one, obviously, over the weekend in Austin, Texas.

00:25:57.680 There was an Afghanistan announcement.

00:25:59.920 Can you read that?

00:26:00.820 Afghanistan announces they will use suicide bomber battalions.

00:26:04.640 And someone said, suicide bombing in an age where drones exist.

00:26:08.120 Pure love for the game.

00:26:09.340 You have to respect the dedication.

00:26:10.860 That's true.

00:26:11.580 Yeah.

00:26:12.200 And there is a doppel.

00:26:13.380 I know.

00:26:14.320 I see it.

00:26:15.560 I'm in the Taliban.

00:26:16.820 You're pretty high ranking in the Taliban, which is nice, at least.

00:26:19.080 You know, you don't get on screen unless you're a commander, right?

00:26:22.260 Top five.

00:26:22.920 Yeah, you're top five in the Taliban.

00:26:24.060 Top five, top five, top five.

00:26:25.400 All right.

00:26:25.940 That's pretty good.

00:26:26.760 And then, obviously, we had the attack in Austin, Texas over the weekend.

00:26:30.300 Yeah.

00:26:31.800 It was a mass shooting.

00:26:33.220 53-year-old naturalized U.S. citizen who was born in Senegal and was living in Pflugerville, Texas.

00:26:39.100 Material recovered from his person and vehicle give possible indications of a nexus to terrorism.

00:26:44.280 He's wearing the Property of Allah shirt.

00:26:47.100 And here's the picture.

00:26:47.960 You guys all saw this.

00:26:48.800 We're not going to cover it too much, but just in the broad scheme of things, like,

00:26:52.840 hey, are there more Muslim lone wolves in the United States and Canada and all of Europe

00:26:57.160 than there ever have been in history?

00:26:59.620 What do you think?

00:27:00.800 Do you think there's more or less?

00:27:02.760 Yeah.

00:27:03.140 It's up.

00:27:03.780 It's up a lot.

00:27:04.720 There was a stabbing in Virginia that they're waiting and releasing and not releasing anything

00:27:09.100 about who did it.

00:27:10.500 So, but a dog got stabbed.

00:27:12.620 So, what do you think?

00:27:13.680 Take a guess.

00:27:14.640 Yeah, it's so true.

00:27:15.600 Um, but yeah, there's more lone wolves if I live near Dearborn or anywhere.

00:27:19.360 And if I went to church near some of these places, I would definitely be bringing a gun

00:27:24.620 to those events for the next week or so, or as long as this military engagement is going

00:27:28.980 on.

00:27:29.700 Yeah.

00:27:30.040 It's not exactly safety season right now.

00:27:32.320 It's not safety season.

00:27:33.520 And keep in mind, these people fundamentally do hate us.

00:27:36.220 Yeah.

00:27:36.380 And also there could be false flags as well.

00:27:39.980 So, it is just safety season, full 360, keep your head on a swivel.

00:27:43.760 And then, you know, it's something interesting.

00:27:45.380 This Senegalese guy, we have a lot of, uh, Republicans or, uh, you know, party members

00:27:50.940 who say, hey, any legal immigration is good.

00:27:53.740 This guy was legal.

00:27:54.620 He was naturalized.

00:27:55.480 He married an American.

00:27:56.620 He's not exactly the type of guy we need here.

00:27:58.500 And a 53 year old, right?

00:28:01.120 You think about it, 53, you're basically in the, uh, the autumn of your, what do they

00:28:08.340 call it?

00:28:08.560 The September of your years as, uh, Frank Sinatra, as Frank Sinatra would say, I'm in the autumn

00:28:14.520 of my years and you're doing the terrorist attack on in downtown Austin.

00:28:19.320 Like you're a different level.

00:28:21.380 Like you could see how a 21 year old or a disenfranchised early, you know, late teenager could get radicalized.

00:28:27.380 But to be 53, you're deep in it.

00:28:29.800 You have a lot of hatred and you have a lot like, oh, it's time to activate now.

00:28:33.740 You made it through your whole life and you're going to go shoot some white people in Austin,

00:28:37.640 Texas.

00:28:38.580 One time, one night.

00:28:39.640 Now you're done.

00:28:40.300 Yep.

00:28:41.000 Nope.

00:28:41.500 All right.

00:28:41.800 Well, we're going to obviously keep a track on the Iran stuff.

00:28:46.160 Every episode, I'm sure for the next few weeks, we'll have some sort of Iran section,

00:28:49.980 which isn't Richard's favorite.

00:28:51.580 No, I mean, it's, we have to talk about it.

00:28:53.460 I'm just saying like, I don't like an episode that gets hijacked by geopolitics.

00:28:57.380 That we don't really like.

00:28:58.640 It's not about the topic, right?

00:29:00.440 It's more about like a thing I'm unenthusiastic about.

00:29:03.560 And I'm over here with a scowl on my face while Mark Levin's saying, we need to do more.

00:29:07.400 We need to get in there, get some troops on the ground.

00:29:09.780 Type of people who, whose children would never serve in the military forces.

00:29:13.620 That's a great point.

00:29:14.500 So, um, overall, it's just a distraction and a disgust thing for me.

00:29:19.540 What are your thoughts on it in general?

00:29:21.920 I, I like paying attention to how the narrative changes.

00:29:24.980 Like now we're liberating the Iranian people.

00:29:27.600 That was never in discussion.

00:29:29.420 And especially off the heels of the Operation Midnight Hammer, the, the bunker busters and

00:29:35.900 all that.

00:29:36.360 Bunker busting their nuclear facility, which is gone.

00:29:38.480 And then we destroyed it all.

00:29:39.620 And now they have nukes.

00:29:40.900 We have to get them.

00:29:41.540 And it's like, I thought we just did that.

00:29:42.740 I thought we used that excuse already.

00:29:44.280 And so all the rhetoric around that was just one and done one punch and we're out, no retaliation,

00:29:49.180 no lives lost.

00:29:50.080 And it's evolving into something else where we're liberating people and we, we have to

00:29:54.660 stay for five to six weeks or something like that.

00:29:57.180 I just don't like the trend it's going.

00:29:59.380 And then a lot of people who are saying no new wars or whatever are kind of like justifying

00:30:05.260 this one.

00:30:05.720 It's interesting to see how people, uh, how people's opinions evolve as the

00:30:11.280 administration changes their directives almost.

00:30:14.960 Yeah.

00:30:15.820 So we'll see.

00:30:16.740 We'll see.

00:30:17.320 I hope for the best.

00:30:18.240 And there's always like, there's different, uh, theories of, as to what we're doing there.

00:30:24.020 Yeah.

00:30:24.480 Cutting off China's access to cheap Iranian oil.

00:30:27.600 There are, there's always some new benefit to attacking someone, right?

00:30:31.560 There's, there's some new, oh, and it's also this.

00:30:34.200 Don't forget about this.

00:30:35.280 Right.

00:30:35.540 And that's where, that's the key is that there's a lot of like layers to it that we're

00:30:40.100 not fully knowledgeable of, but, uh, Iran was giving a lot of oil to China.

00:30:43.920 So was Venezuela just dealt with them.

00:30:46.420 Yeah.

00:30:46.600 So is this all a China oil play?

00:30:49.280 Uh, is it a Bitcoin play?

00:30:51.060 Is it where the Epstein files are hidden?

00:30:53.640 There's like a lot of things that could be.

00:30:55.980 Sure.

00:30:56.260 Sure.

00:30:56.880 Barack Obama just lawyered up.

00:30:58.740 Is he.

00:30:59.880 Yeah.

00:31:00.280 What's he, what's his role?

00:31:01.660 The Epstein files and I ran, I don't know, uh, or he gave all the money to Iran.

00:31:06.060 There's like, there's levels to it.

00:31:07.560 But anyway, we've always said this as a show, uh, that things aren't good enough to go to

00:31:13.060 war with Iran in America.

00:31:14.380 That's pretty much the thesis for an America first type podcast and show.

00:31:19.420 And I don't think we changed enough in between operation midnight hammer and operation, whatever

00:31:24.540 fury, what's it called?

00:31:26.600 I don't think we improved enough in America to go to a war with Iran as a treat.

00:31:31.300 Right.

00:31:31.740 Yeah, that's true.

00:31:33.180 All right.

00:31:33.560 Let's get to our next story.

00:31:35.000 Uh, this is about alpha gal, which is that man-made disease that's a tick born.

00:31:41.520 Yeah.

00:31:42.060 And a tick bites you and it makes you allergic to meat.

00:31:44.520 There was a death from that in Australia.

00:31:47.200 A teenager who died after eating beef sausages on a camping trip has been confirmed as the

00:31:52.020 first person in Australia to die of rare tick induced meat allergy.

00:31:56.360 Cases of alpha gal syndrome have increased 40% since 2020.

00:32:00.000 So yeah, that's the first death.

00:32:02.320 I've heard of people getting sick or, uh, repulsed by red meat, but I've never heard of a death.

00:32:07.680 Uh, you want me to read this?

00:32:08.720 Yeah.

00:32:09.140 A teenager who died after eating beef sausages while camping has been confirmed as the first

00:32:13.500 person dead.

00:32:14.340 Jeremy Webb, 16 from New South Wales, central coast collapsed after consuming the sausages

00:32:19.660 at McMaster's beach in 2022 and later died in a hospital with his death attributed to

00:32:26.520 asthma at the time.

00:32:27.600 But New South Wales deputy state coroner, Carmel Forbes has now ruled that the asthma attack

00:32:32.120 was triggered by an anaphylactic reaction to mammalian meat after he was posthumously diagnosed

00:32:38.060 with alpha gal syndrome, potentially fatally fatal alert allergy to red meats such as beef,

00:32:44.160 pork, and lamb named after a sugar molecule.

00:32:47.300 And yeah, that's it.

00:32:49.520 And this is a man-made disease and was most likely made at Fort Detrick if I had to guess.

00:32:55.760 Uh, but they make this stuff and their goal, bigger picture, the world economic forum has

00:33:00.260 even said this, their goal is to make everyone stop eating meat because meat's bad for climate

00:33:05.300 change in the environment.

00:33:06.440 But realistically, if you don't eat meat, everyone's going to get weaker and lower their

00:33:11.000 testosterone and go even worse.

00:33:13.100 And we have a clip here from the world economic forum from a few years ago of one of their

00:33:17.420 guys talking about exactly this.

00:33:20.100 So one is that, uh, people eat too much meat, right?

00:33:23.960 And if they were to cut down on their consumption on meat, then they would, uh, it would actually

00:33:28.660 really help the planet.

00:33:30.180 Uh, but people are not willing to give up meat.

00:33:32.600 Yeah.

00:33:32.940 You know, some people will be willing to, but other people, they may be willing to, but they

00:33:37.280 sort of, they have a weakness of will.

00:33:38.700 They say, wow, this, this steak is just too juicy.

00:33:40.960 I can't do it.

00:33:41.520 I'm one of those, by the way.

00:33:42.820 So, you know, but so here's a thought, right?

00:33:45.800 So it turns out that we know a lot about, so we have these intolerance to, uh, so I, for

00:33:51.800 example, I have milk intolerance.

00:33:53.240 Um, uh, and there's some people are intolerant to crayfish.

00:33:56.620 So possibly we can use human engineering to make it the case that we're intolerant to certain

00:34:02.000 kinds of meat, to certain kinds of bovine, uh, bovine proteins.

00:34:05.400 And there's actually analogs of this in life.

00:34:07.740 There's this thing called the long star tick, where if it bites you, you will become allergic

00:34:12.120 to meat, uh, I can sort of describe the mechanism.

00:34:14.780 So that's something that we can do through human engineering.

00:34:17.280 We can kind of, uh, possibly address really big world problems through human engineering.

00:34:22.680 Another.

00:34:23.000 Sounds like that's what they're up to.

00:34:24.400 Yeah.

00:34:24.620 And if someone tries to human engineer me and I catch you doing it, you're gone, brother.

00:34:29.220 Yeah.

00:34:29.580 You're going down.

00:34:30.520 Stay out of my ass.

00:34:31.020 Stay out of my ass.

00:34:32.040 Stop digging around in my ass.

00:34:33.960 Why do you keep human engineering me?

00:34:36.960 That's true.

00:34:37.860 Yeah.

00:34:38.060 And if that happens to me and I'm allergic to meat, I'll just eat meat until I die.

00:34:42.460 Do you think so?

00:34:43.400 I'm not going to stop.

00:34:44.360 I was going to say it's pizza time.

00:34:46.120 Ooh, it's not a bad idea.

00:34:47.080 It's pizza time.

00:34:47.820 And then you're like, whatever.

00:34:48.980 Can't eat meat.

00:34:49.780 I'm eating pizza every day.

00:34:51.540 That's a good point.

00:34:52.320 That's actually really smart.

00:34:53.720 All right.

00:34:54.160 All right.

00:34:54.380 I'm back in.

00:34:55.140 Okay.

00:34:55.500 All right.

00:34:55.760 Let's get to our migrant section.

00:34:57.300 Uh, we have a good amount of migrant stuff.

00:34:59.160 My favorite part of this is going to be the nav for Fresno response.

00:35:02.860 Yeah.

00:35:03.380 But we're going to wait.

00:35:04.260 We'll wait for that.

00:35:04.900 We have some sad stories first.

00:35:06.360 Uh, illegal alien charged with rape while training as a corrections officer set free by prison,

00:35:12.580 which is like a mouthful, right?

00:35:14.700 That's an interesting thing.

00:35:16.120 Ibrahim George Kellen.

00:35:17.880 I don't know how to pronounce it.

00:35:19.080 An illegal alien from Sierra Leone whose visitor visa expired in 2024 was arrested while training

00:35:24.720 to be a Delaware County prison corrections officer and charged by Glen Olden police for

00:35:30.640 rape, involuntary deviant sexual intercourse, sexual assault, aggravated indecent assault,

00:35:36.200 false imprisonment, indecent assault.

00:35:37.740 So you can kind of gather what happened from those charges.

00:35:41.260 A young lady wasn't allowed to leave.

00:35:43.060 She was forced upon by this Sierra Leone ugly motherfucker.

00:35:47.480 Try to be a police officer, basically.

00:35:49.360 Bad skin.

00:35:49.940 Yeah.

00:35:50.220 And so Delaware County prison sent him back into the community despite an ICE immigration

00:35:54.280 detainer.

00:35:54.920 So ICE officers had to arrest him at large.

00:35:57.800 So this is who the operations are.

00:35:59.480 When you see ICE officers in the street, it's the people who the jail wouldn't call them.

00:36:04.400 They wouldn't turn them over.

00:36:05.600 So he was an illegal.

00:36:07.880 He applied to be a prison guard.

00:36:11.160 He was training, in training at that prison for a while.

00:36:14.260 Then they go, hold up, wait a minute, you got charged with some bad shit, including rape.

00:36:19.780 You're now in the prison.

00:36:21.780 And then they let him out of the prison before cooperating with ICE.

00:36:24.840 So crazy, stupid story.

00:36:27.100 Full, he experienced every part of it.

00:36:29.600 Exactly.

00:36:30.120 He really knows the justice system inside and out now.

00:36:32.660 He's like, well, I've seen him from both sides.

00:36:34.560 Maybe he can stay and help us.

00:36:36.200 Oh wait, he's a rapist.

00:36:37.780 Yeah.

00:36:38.100 From Sierra Leone.

00:36:39.420 And this is off the heels of the New Orleans Police Department accidentally training a cadet who was an illegal.

00:36:46.540 So we got him in the prisons and we got him in the police departments.

00:36:50.640 They're everywhere.

00:36:51.580 Briefly.

00:36:52.080 And then the New York Times ran an article the other day about an illegal and they were trying to like be on his side.

00:36:57.960 Oh, he's been here for 20 years.

00:36:59.380 But they forgot to mention something.

00:37:00.880 Yeah, the New York Times ran a piece on their homepage about a guy getting deported, even though he had lived in the U.S. since a teenager and had been here for 20 years.

00:37:09.720 And the New York Times waited until the end of the article to mention that 19 of those years were spent in prison for murder.

00:37:16.080 He just wants a better life.

00:37:17.360 He's been here for 20 years.

00:37:18.580 Come on.

00:37:19.140 Okay, where's he been?

00:37:20.120 Where's he been for the 20 years?

00:37:21.600 Jail.

00:37:22.260 For murder.

00:37:23.620 Great.

00:37:24.160 Thanks, New York Times.

00:37:25.080 Appreciate it.

00:37:25.480 That's what we're dealing with there.

00:37:26.880 But the Ayatollah is a nice religious scholar or something.

00:37:29.860 I don't know.

00:37:30.460 It's just fully backwards.

00:37:31.980 Yeah.

00:37:32.180 It's like that movie where you put the glasses on and you see a different message.

00:37:35.400 Totally.

00:37:36.000 Totally.

00:37:36.360 It's really that.

00:37:37.560 And then you put these glasses on for the New York Times article and the only thing you see is murder for 19 years, like at the bottom.

00:37:43.420 It takes out all the fat of the article, the fluff.

00:37:45.700 It's way more...

00:37:46.460 He just tells you, illegal deported, he was a murderer.

00:37:48.960 Okay, thanks.

00:37:49.740 Way more concise.

00:37:50.800 Clean article.

00:37:51.420 And instead of 4,000 words from the New York Times, it's one sentence.

00:37:54.200 And then they put it at the end.

00:37:55.280 No one reads the whole article.

00:37:57.360 Yeah.

00:37:58.020 Well, I don't know.

00:37:59.280 People do read the whole article.

00:38:00.400 If you read the article, wouldn't you get the gist of it?

00:38:03.480 Like, oh, this guy's been here for 20 years.

00:38:04.900 Oh, he's getting deported.

00:38:05.840 Trump's doing deportations.

00:38:07.180 Here's the bigger picture of deportation numbers.

00:38:09.460 Like by the end, you're like, all right, I get it.

00:38:11.480 This guy's getting deported.

00:38:12.460 He's been here for 20 years.

00:38:13.300 And then you might even miss.

00:38:15.080 And it would be funny if the New York Times was doing like legitimate, like dummy paragraphs

00:38:19.580 or something where there's a paragraph, say they get to the murder charge on the 19th

00:38:25.920 paragraph and they have a dummy paragraph in 15 or 16 that gets boring.

00:38:30.080 That's meant to wean you off the article.

00:38:32.280 It's like, geez, they took a turn here.

00:38:33.880 I'm done with this.

00:38:34.520 And then you never get to the murder.

00:38:36.240 1980s baseball stat.

00:38:37.720 What the fuck are you talking about?

00:38:39.160 I'm done reading this article.

00:38:40.260 Exactly.

00:38:41.040 All right.

00:38:41.260 We have another story out of Virginia at a Fairfax.

00:38:43.580 A woman was stabbed to death by an illegal.

00:38:47.020 First responders arriving at a Richmond Highway bus stop finding the victim of a stabbing.

00:38:51.520 A female, unresponsive.

00:38:53.060 There seems to be a cut.

00:38:54.040 She's not breathing.

00:38:55.560 Unresponsive.

00:38:56.440 There's blood all over her.

00:38:58.180 41-year-old Stephanie Minter died from her injuries.

00:39:00.780 Her family just posting this obituary, describing her as, quote, a beam of light in dark places.

00:39:06.320 Charged in her killing, 32-year-old Abdul Jalloh, already well known to police and prosecutors.

00:39:12.100 Court records show the unhoused man had a reputation for violence and alleged rape in 2018.

00:39:17.640 Then a series of four alleged stabbings.

00:39:20.480 And more recently, before the alleged murder, two alleged assaults.

00:39:24.920 But only once was Jalloh convicted and sent to prison.

00:39:28.060 In February of 2023, he stabbed a 73-year-old man so forcefully the blade broke off the knife.

00:39:35.400 He pleaded guilty to malicious wounding and was sentenced to serve two years with five years of time suspended.

00:39:40.780 Then Monday night, another stabbing.

00:39:43.340 Police say it's at least...

00:39:44.540 I don't know how you get your charges dropped for a rape and a stabbing.

00:39:48.960 Yeah. And then the one thing you do actually go to jail for is when you stabbed an elderly person, someone in their 70s, so hard that the blade broke.

00:39:56.760 And then you only served two years for that.

00:39:58.620 And this is Fairfax County in Fairfax, Virginia, basically.

00:40:03.260 So Spangberger let him out.

00:40:04.980 Pretty much.

00:40:05.520 I mean, she did just recently order.

00:40:07.560 We just had the transition from Republican Youngkin over to Spangberger.

00:40:13.800 And she just ordered with, I think, via executive order to not cooperate with ICE in the state of Virginia.

00:40:20.120 And so they obviously were a sanctuary city for a county, I guess, for the entire time.

00:40:26.300 All that history of his crimes, because how is an illegal immigrant just doing multiple stabbings and getting away with it without being deported?

00:40:34.840 Sorry, go ahead.

00:40:35.920 No, no.

00:40:36.320 It's just such a shock.

00:40:38.400 And then one of these happens every week.

00:40:40.660 This headline that basically didn't used to exist happens every week.

00:40:46.300 Illegal repeat offender kills white person in America.

00:40:49.500 And then that didn't used to happen because we didn't have illegals or we had way less of them.

00:40:54.680 And their repeat offenders, they didn't really exist as much.

00:40:57.840 Yeah.

00:40:58.140 And he got arrested over 30 times since 2012.

00:41:01.520 Yeah.

00:41:01.980 But he only got charged a few times.

00:41:03.840 So he must have a great lawyer, a homeless, illegal, violent criminal.

00:41:07.540 Yeah.

00:41:07.900 He gets the best lawyer.

00:41:09.080 He gets the best public defender that you can get, right?

00:41:12.520 And then none of the other media outlets even mentioned this woman, Stephanie Minter.

00:41:17.160 Yeah.

00:41:17.780 No articles from any of the major sites.

00:41:20.280 They just ignore that one.

00:41:21.760 They'll tell you the Ayatollah is not so bad.

00:41:24.080 Yeah.

00:41:24.440 But we get a new one of these every week and it's just all so tiresome, right?

00:41:28.140 Yeah.

00:41:28.660 All right.

00:41:29.000 Let's get to our next story.

00:41:30.140 This guy is like, I believe, a mobile truck repair guy.

00:41:33.640 Yeah.

00:41:33.820 And he has an Indian client and listen to what happens when it's time to pay the bill.

00:41:39.580 Look, this is my company.

00:41:41.580 I charge $3.50 a month.

00:41:43.700 I don't care what anybody else charges.

00:41:45.900 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?

00:41:54.160 Correct.

00:41:54.720 Right.

00:41:54.940 And guess what the bill is?

00:41:56.700 It is $1,049.57.

00:42:00.000 It is cheaper than what I quoted you the first two prices.

00:42:03.240 I explained all this before I come out.

00:42:05.860 So this is why I'm recording.

00:42:07.840 So where's your car?

00:42:10.920 You can sign this or I can call a DOT officer out here and we can handle it however you want to handle it.

00:42:17.520 You're complaining about the bill.

00:42:19.080 No, no, I'm just asking for them.

00:42:20.960 Once I didn't ask for the service.

00:42:23.680 Is it cheaper than what I quoted you?

00:42:27.400 No, I didn't ask for the service.

00:42:30.720 I didn't ask for that.

00:42:31.560 Sometimes everybody asks for $2.

00:42:33.460 I just asked for that.

00:42:34.680 If I played games with everybody I went around, nobody would like me.

00:42:49.080 I wouldn't ask for that because I wanted to take the red thing and watch them be better for me.

00:42:55.100 No, I didn't ask for that's.

00:42:57.300 Maybe I was going to be żebybook because I got the red thing, and just asked for the other kind of town.

00:43:01.980 I was already missing out.

00:43:03.860 I didn't know when someone say I had enough of perfection.

00:43:05.820 Once Iupons is in the歡迎.

00:43:07.860 People leave me somewhere right among the opportunities of tennis services.

00:43:10.960 Sometimes people look like a wifi and a photo of them.

00:43:14.260 So I thought the red thing is, see what I소년 looked like.

00:43:17.080 I believe they've been there.

00:43:18.740 Thank you.

00:43:48.740 Thank you.

00:44:18.740 Thank you.

00:44:48.740 Thank you.

00:45:18.740 Thank you.

00:45:48.720 And then someone replied to the sex offender running,

00:45:53.400 Here in Fresno, we know the diversity of our community is a strength. I'm proud of my sick faith. I'm proud to be an American. And I'm proud to be a Fresno. So much so that I'm running for city council to fight for a better Fresno.

00:46:04.760 So that was the response.

00:46:34.740 Americans act when they're in Western countries. And the plot is pretty ugly. We've covered it over the last couple months of the show, right?

00:46:40.880 Yeah. But if I don't like diversity, I'm hateful. But guys like Nav are allowed to do ethnic favoritism whenever they see fit. But if I do it, I'm racist. But when they do it, it's progressive. And you're allowed to because it's anti-white.

00:46:54.560 Yeah. 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.

00:47:05.500 So I don't know what that has to do with Fresno, California.

00:47:08.800 City council in Fresno, California. I don't see much, 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. So some ethnic favoritism politically, right?

00:47:19.720 Yeah. But diversity is good.

00:47:21.280 But I don't think that's true. And I think we've had enough diversity. And I think everyone sees what diversity looks like on a mass scale. This is the white birth rate in America.

00:47:33.260 White percentage of total births, 2023, and it's not good.

00:47:37.300 What's the percentage in California?

00:47:38.740 19%.

00:47:39.500 19%, 30-something, 20-something in Texas. It's not looking good. So that's what diversity looks like.

00:47:46.040 And we all know that diversity and demographics are actually what are the lead indicators for who wins elections.

00:47:54.100 Yeah.

00:47:54.740 Multiracial democracy elections are not contest of ideas, but a racial headcount.

00:47:59.440 Yeah.

00:47:59.740 And that's literally what's going on. And we see the ethnic favoritism everywhere, the one that NAV does. We've seen it at high levels in our companies and corporations with H-1Bs.

00:48:13.960 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.

00:48:23.560 And we see an Indian, we go, fuck that guy. And there's some base level, like low level racism that is in our hearts or something.

00:48:30.860 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. And we don't like the result of that.

00:48:41.460 It's not like, fuck that Indian guy. Anybody who's worked in corporate America has met or worked with Indian people, right?

00:48:47.880 Anyone who's gone to a high level college has met and studied with Indian people, right?

00:48:54.180 They're around. It's a fact of life. There's no hate.

00:48:57.280 But me and Fleckis are both done voting for any Indian politicians for a long time because what we've seen so far, right?

00:49:05.340 And a big part of that is I'm not racist. I don't hate Indians.

00:49:09.360 I just know which groups are doing ethnic favoritism. And we've seen it at a scale.

00:49:15.220 And a lot of these are old assets that we've kind of gone over the past couple of months that inform our worldview on avoiding Indian politicians because they end up showing that ethnic favoritism on both sides of the aisle.

00:49:28.340 And we've seen it.

00:49:29.360 And the ethnic favoritism is not good for America.

00:49:32.320 Yeah, that's the key. That's the key thing. It's not just because they're Indian. It's because when they come here, this is what they tend to do.

00:49:38.960 Yeah. And so these are a couple of our elected reps right now who are big defenders of H-1B visas.

00:49:45.700 They happen to just be Indians. And a few of them are born in India, too, which I don't think should be allowed in America.

00:49:52.900 You can't represent. You can't be a congressman if you weren't born here.

00:49:56.700 But I guess we let those slip through the cracks a little bit and got lazy.

00:50:01.300 And let's just take one Pramila Jaipal right here. Top right corner. You know her. I think she's from Washington.

00:50:06.760 Her personally, she's like leading the charge to remove the country origin green card caps.

00:50:15.320 So there's a cap on country of origin for these green cards.

00:50:19.480 And she's took that up and is co-sponsoring legislation to get that cap removed.

00:50:25.020 And then you look under the hood and you go, oh, who's who's being throttled by this cap?

00:50:28.580 And there's apparently 1.2 million or so in backlog green cards. 800,000 of them are Indian.

00:50:34.920 And she was born in India. So that became a passion project for her.

00:50:38.800 She's showing a little ethnic favoritism there. And then she'll say, no, it's not ethnic.

00:50:42.560 There are other countries, too. But then 75 percent of the people waiting are Indians, right?

00:50:46.820 Yeah. Then something we covered before, FedEx's new Indian CEO, who is only the second CEO in history after founder Fred Smith.

00:50:54.980 He's hiring an entire executive team of Indians, right?

00:50:58.660 He appoints Kowal Preet as executive vice president for planning, engineering and transformation.

00:51:03.080 And then he appoints Vishal Talwar as executive vice president, chief digital and information officer, right?

00:51:08.720 Yeah.

00:51:08.920 So that's there's both politics and corporate, right? And then this coincides with them losing the USPS contract, FedEx, that is.

00:51:18.760 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.

00:51:27.900 Stories of 90 percent white neighborhoods flipping to majority Hindu since 2020.

00:51:32.320 So that's how it looks. You get your IT subcontractors. We'll make them Indian, too.

00:51:37.300 We'll bring in H-1Bs. The entire company, FedEx, which is an American company founded in Memphis, is now turning into like some Indian thing because of ethnic favoritism.

00:51:47.160 Yep.

00:51:47.580 Which is what we're worried about when voting, right?

00:51:50.800 Here's another example from a different company, Humana.

00:51:54.180 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.

00:52:02.480 This happened last November and he hasn't been able to get a new job, can't even get an interview.

00:52:06.060 According to the former employee, Humana staff is 98 percent Indian.

00:52:10.780 You could be on a Zoom meeting with 25 other colleagues and only one or two of the attendees were American.

00:52:15.780 He also notes that his Indian colleagues were extreme rude.

00:52:19.320 We're not going to get into the too much of the Indian behavior and being rude.

00:52:22.900 We're just talking about specifically ethnic favoritism.

00:52:25.700 We're going to keep it high level.

00:52:26.800 Exactly.

00:52:27.480 Here's another example.

00:52:28.640 Company called Hexaware.

00:52:30.600 Here's their leadership and management team.

00:52:32.900 Notice anything?

00:52:33.760 They're all Indian.

00:52:34.460 There's not a single white person.

00:52:36.160 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.

00:52:44.420 And that's why we don't really vote for people who do a lot of ethnic favoritism.

00:52:48.660 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.

00:53:00.860 And what do they do when they get here?

00:53:03.300 Do they vote 50-50?

00:53:04.800 Are they just like white people?

00:53:06.600 No.

00:53:07.460 Indians come to America and then vote two to one for socialism.

00:53:11.020 Most of them don't become Americans.

00:53:12.400 Instead, they attempt to turn America into India.

00:53:15.120 There's no amount of economic contribution that makes up for this.

00:53:17.700 And this is Kamala Harris versus Donald Trump in 2024.

00:53:20.580 And it's a two to one ratio, right?

00:53:21.960 But then Nav will say, I went to a baseball game.

00:53:24.760 Exactly.

00:53:25.240 I like the Colorado Rockies.

00:53:27.660 What are you talking about?

00:53:28.460 I don't do ethnic favoritism.

00:53:30.360 I'm from Fresno.

00:53:31.500 I went to UCLA.

00:53:32.720 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.

00:53:38.240 And you'll do it.

00:53:40.000 And this goes beyond the aisle, right?

00:53:42.160 Right wing, left wing.

00:53:43.680 We've been mad at Indians on the right because they'll say things like this.

00:53:48.480 If we're serious about decoupling from China, it will also require expanded relationships with India.

00:53:56.440 And I'm not just saying that because my name is Vivek Ramaswamy.

00:53:58.880 I promise.

00:53:59.680 So it's something that goes across political divide, both sides.

00:54:03.720 And then what's the end result?

00:54:05.140 Dallas looks like this.

00:54:08.240 This is Dallas, Texas.

00:54:10.660 So Nav, this is Dallas, Texas.

00:54:13.640 Is this good?

00:54:15.100 Is this bad?

00:54:16.460 Or is this neutral?

00:54:17.840 Yeah.

00:54:18.340 And you can be racist if you want, whatever.

00:54:21.660 But let us know.

00:54:23.660 Let us know.

00:54:24.380 Would you like Fresno to look like that?

00:54:27.660 And the thing is, there's a big switch or trick happening where this is hate or racism or you've lost the plot.

00:54:36.640 And it's like, no, we're paying attention.

00:54:40.020 We're seeing what happened.

00:54:41.760 Canada, our neighbor to the north, they just imported 10 million foreigners in like four years.

00:54:47.840 And we're not going to even get into how uncomfortable white women are at the clubs in Toronto now.

00:54:52.960 We're not going to get into the illegal fishing and poaching.

00:54:55.840 We're not going to get into the using cow shit or piss in religious ceremonies.

00:55:00.740 We're not going to get into any of that.

00:55:02.280 We're just going to talk about politicians engaging in ethnic favoritism and then rooting for their group.

00:55:09.920 Yeah.

00:55:10.500 And that's what we're worried about.

00:55:12.580 We're not going to get into the guy cutting chicken breasts with his toenail.

00:55:16.860 Do you do that, Nav?

00:55:18.300 Nav, you don't do that, right?

00:55:19.400 I need more.

00:55:19.900 Not when you live in California.

00:55:22.320 I assume you don't do that.

00:55:23.540 But yeah.

00:55:24.020 So we're not really racist.

00:55:25.500 We don't hate Indians.

00:55:26.760 There's no weird shit like that.

00:55:29.320 I had some Indian friends back in the day.

00:55:32.280 I have Indian friends now.

00:55:33.460 But it got to a point that we're changing demographics in towns.

00:55:39.100 We're changing entire towns.

00:55:41.240 Frisco, Texas looks like something different that it shouldn't.

00:55:45.500 And yeah, you're going to city council of Fresno.

00:55:49.360 So it's not exactly a point of power where you can really do H-1B stuff, but that's a stepping stone.

00:55:55.420 That's where you start a political career.

00:55:57.480 And then who knows where you are 20 years from now helping out Indians, brother.

00:56:02.240 That's very true.

00:56:03.020 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.

00:56:10.300 And if that makes me hateful, then good.

00:56:13.560 Yeah, there's a little thing where that used to work and it used to shut somebody up.

00:56:16.840 If you said, you're racist, you're hateful.

00:56:18.960 Not fucking us.

00:56:20.320 We don't care.

00:56:21.420 We're not talking about gay shit like that, pussy.

00:56:25.240 Yeah.

00:56:25.520 You know, like we're not, we don't get silenced.

00:56:28.660 They're ethnically replacing white people in America through mass migration.

00:56:33.520 It's really simple.

00:56:35.180 It's on every chart.

00:56:36.760 It shows up everywhere in data, student reading, proficiency.

00:56:41.400 We're importing retarded third worlders.

00:56:43.680 Yeah.

00:56:44.100 And it's not hateful to call that out.

00:56:47.020 Right.

00:56:47.280 You know, this guy's a small potatoes running for city council guy.

00:56:50.260 Like nobody gives a fuck.

00:56:51.620 But I thought it was a good opportunity to explain.

00:56:55.020 There's not just, man, I hate brown people.

00:56:56.800 I can't stand seeing brown people.

00:56:58.840 There's no that.

00:57:00.240 We just understand what you do.

00:57:02.280 And you're like weevils.

00:57:03.780 You eat the wood out of FedEx.

00:57:05.340 All of a sudden, FedEx, an entirely Indian company founded by America, Americans in America.

00:57:11.460 And all of a sudden, it goes to India.

00:57:14.440 No, no, no.

00:57:15.380 No, no, no.

00:57:16.100 And you do the head thing.

00:57:16.940 No, no, no.

00:57:17.960 Not on my watch.

00:57:19.400 Not on my watch, sir.

00:57:21.220 No, no, no, Nav.

00:57:22.200 So, yeah.

00:57:22.680 I mean.

00:57:23.340 That's a good point.

00:57:24.000 It's not, oh, we just hate brown people.

00:57:25.900 It's just, no, we see what happens and what they tend to do.

00:57:29.040 And whether we say it or not, they're still going to do what they're going to do.

00:57:32.400 And is that better for America in the long term?

00:57:34.840 Two to one voting for socialism.

00:57:36.940 Not good.

00:57:37.680 It's better for Indians.

00:57:38.980 It's better for Indians for you guys to have power, but it's not better for us.

00:57:42.460 And, you know, good luck out there.

00:57:44.500 You're running against a sex offender, brother.

00:57:46.260 Yeah.

00:57:46.700 And here's an interesting thing about the sex offender, Nav.

00:57:50.020 I have a feeling he's a Democrat.

00:57:51.940 You're a Democrat.

00:57:52.660 You're both progressive.

00:57:54.020 I have a feeling you have the same exact politics and platform as him.

00:57:58.480 And the only difference is he's a sex offender and you're not.

00:58:00.880 Yeah.

00:58:01.060 And this raises a good question of would you take a sex offender who was 100% in line with you on all politics?

00:58:08.460 That's a tough one.

00:58:09.820 I don't know.

00:58:11.400 All right.

00:58:12.140 Let's wrap this up.

00:58:13.520 We're still in the Nav section, but we're in Canada.

00:58:16.480 Canada brought in a ton of third worlders, ton of migrants over the last few years.

00:58:21.540 The chart is like this.

00:58:23.180 And everyone said, oh, it's for the economy.

00:58:25.320 We need it for the economy.

00:58:26.300 It helps GDP.

00:58:27.720 Canada is actually contracting economically.

00:58:31.380 Yeah.

00:58:32.360 Canada's economy contracted in the fourth quarter, coming well below expectations.

00:58:36.020 The slowest year of growth for the country since 2020.

00:58:38.320 And it shrank 0.6% annualized in Q4.

00:58:43.620 So, yeah, I guess infinity migrants didn't really work out.

00:58:46.980 It doesn't provide the economic boost that you thought it did, right?

00:58:49.960 Yeah.

00:58:50.740 All right.

00:58:51.020 Well, that's the end of our migrant section.

00:58:52.540 Let's move on to the final page of housekeeping where I can say whatever I want.

00:58:55.860 Use the opportunity to look at the post.

00:58:57.000 Help us choose the audio.

00:58:57.720 Leave a like, comment, comment again.

00:58:58.720 That's right.

00:58:58.980 App in PO Box, notifications, old episode, links to this one, et cetera.

00:59:03.380 All right.

00:59:04.040 And merch should be arriving this week.

00:59:06.740 So, make sure you guys post you in the merch.

00:59:09.120 That would be very cool.

00:59:10.480 All right.

00:59:10.940 We have a final page.

00:59:12.740 We don't have a ton of time, but we're going to make our points.

00:59:15.260 First, this is a really cool bar trick that you guys can try at home.

00:59:19.920 And the key is the foam.

00:59:22.940 You see the foam suction he just did?

00:59:24.520 So, it sucks to it.

00:59:25.900 That's the key.

00:59:28.940 Ah, never mind.

00:59:29.900 Ah, shattered a whole glass.

00:59:32.020 Never mind.

00:59:33.440 All right.

00:59:33.700 I thought it was funny.

00:59:34.480 Okay.

00:59:35.500 And then, speaking of beer, IPAs, everyone drinks IPAs, Indian pale ale.

00:59:40.780 Yeah.

00:59:41.040 Do you drink IPAs?

00:59:41.960 No.

00:59:42.420 I don't like the taste.

00:59:43.420 It tastes bitter.

00:59:44.700 Yes.

00:59:44.980 It tastes like there's like pennies are in it.

00:59:49.480 Yeah.

00:59:49.780 Like if you had penny water.

00:59:51.140 Yeah, I'm not a big IPA guy, but it definitely became popular with millennials.

00:59:54.520 And like, as I was growing up.

00:59:57.120 Yeah.

00:59:57.340 You know what I mean?

00:59:57.880 Like that, it's our era.

00:59:59.600 Yeah, yeah.

01:00:00.240 And it's bad for you.

01:00:01.860 Beer is the least manly thing in the world, especially IPAs.

01:00:04.920 If you drink five plus hoppy beers, you'll intake an equivalent of half a pill of birth

01:00:10.880 control based on the estrogenic content.

01:00:13.720 It has one of the strongest phytoestrogens, eight pre-no-ler-ler-ler-ler, avoid.

01:00:19.940 I am not going to be able to pronounce that.

01:00:22.080 Another Indian word.

01:00:23.400 Maybe.

01:00:24.520 Or Latin.

01:00:25.300 So that's bad.

01:00:26.080 You guys drink IPAs.

01:00:27.320 It makes you feminized.

01:00:29.240 Yeah.

01:00:29.740 Not good for you.

01:00:30.360 Everyone kind of knew that, but.

01:00:31.580 That was an op on millennials.

01:00:32.960 Yeah.

01:00:33.400 But the birth control thing is interesting.

01:00:35.300 All right.

01:00:35.860 Next, more CIA documents came out.

01:00:38.800 Declassified CIA memo shows planned to make citizens unwitting assassins to target U.S. officials.

01:00:44.560 Literal sleeper cell shit.

01:00:46.560 Or what is it?

01:00:47.040 Manchurian candidate?

01:00:48.120 Manchurian candidate.

01:00:49.660 Brainwash.

01:00:50.340 Mind control.

01:00:51.060 Zoolander shit.

01:00:52.040 Yeah.

01:00:52.600 Pretty much.

01:00:53.080 And this was like from the 50s.

01:00:56.760 And I think it was a successful program.

01:00:58.760 Maybe they stopped.

01:01:00.120 Maybe they said, all right, we figured it out.

01:01:01.960 Let's not use it.

01:01:03.000 Okay.

01:01:03.280 So something to keep in mind.

01:01:04.940 Cool.

01:01:05.560 And then this guy has a mind control technique of his own that we all can use.

01:01:10.440 It's called temporal tapping.

01:01:12.820 I am super fast.

01:01:14.640 I am super fast.

01:01:15.980 I am super fast.

01:01:17.740 My name is David.

01:01:18.960 My name is David.

01:01:20.080 My name is David.

01:01:20.900 I am super strong.

01:01:23.740 I am super strong.

01:01:24.900 I am super strong.

01:01:26.240 My name is David.

01:01:27.760 My name is David.

01:01:28.960 My name is David.

01:01:31.960 Temporal tapping.

01:01:33.900 On your left side, you tap anything over the temple that you want to be true that is not currently true.

01:01:43.320 On the right side, you tap anything that's true.

01:01:49.200 It's interesting.

01:01:50.660 Okay.

01:01:51.020 My name is David.

01:01:51.880 My name is David.

01:01:52.760 You start copying him.

01:01:54.460 I don't know why.

01:01:55.280 I don't know who David is.

01:01:56.300 Okay.

01:01:56.820 But it's about David.

01:01:58.000 My name is David.

01:01:58.880 My name is David.

01:01:59.940 All right.

01:02:00.260 I am thin.

01:02:01.060 I am strong.

01:02:02.300 I have so much money.

01:02:03.900 All right.

01:02:04.480 I'm really, really rich.

01:02:05.500 I have too much money.

01:02:06.260 I don't know what to do with it all.

01:02:07.200 I'm by the Scrooge McDuck room of all this money and I'm able to swim in it.

01:02:11.520 There's an entire indoor Scrooge McDuck room of all my money.

01:02:15.220 My name is David.

01:02:15.900 My name is David.

01:02:16.620 Okay.

01:02:17.280 All right.

01:02:17.860 All right, David.

01:02:18.420 Where are we headed next?

01:02:19.280 To this section.

01:02:21.000 And I made this recently.

01:02:23.560 Okay.

01:02:23.760 Basically, I have a theory and I've kind of read about this elsewhere and it's not that

01:02:28.360 crazy, but I think a person's resting face expression is indicative of if they're happy

01:02:33.380 or not based on if their mouth naturally smiles or frowns.

01:02:37.240 Okay.

01:02:37.700 And I have some examples here.

01:02:39.360 Hillary.

01:02:39.800 Hillary Clinton.

01:02:40.600 That's a frown.

01:02:41.300 Natural frown.

01:02:41.720 Down.

01:02:42.600 Ellen DeGeneres.

01:02:43.680 Frown.

01:02:44.100 Down.

01:02:45.360 Kanye.

01:02:46.060 Frown.

01:02:47.440 Rosie O'Donnell.

01:02:48.080 See how they're all just like your resting face is like sad.

01:02:51.100 Yeah.

01:02:51.480 And it's a frown.

01:02:52.340 I get that.

01:02:52.760 And it's like, oh, because I'm always frowning because I'm sad because I'm always sad.

01:02:56.560 You're a sad person.

01:02:57.780 Sean Penn.

01:02:58.580 That's actually a decoy down.

01:03:00.080 The mustache makes you think down, but it actually goes up.

01:03:02.780 So that's decoy down.

01:03:03.700 Okay.

01:03:03.980 Eminem.

01:03:04.740 Neutral to maybe down.

01:03:06.340 Okay.

01:03:07.020 Leo.

01:03:07.580 Neutral.

01:03:09.040 Rihanna.

01:03:09.840 Neutral to down.

01:03:11.340 Robin Williams.

01:03:12.300 Up.

01:03:12.820 Happy.

01:03:13.280 Happy guy.

01:03:13.880 He's the only guy on this list who killed himself.

01:03:16.820 I think we need to go back to the drawing board, brother.

01:03:19.540 I don't know what's up.

01:03:20.580 And then Hillary's naturally unhappy, but she's a cockroach.

01:03:23.200 So she'll survive anything.

01:03:24.800 So it was a working theory.

01:03:26.060 Okay.

01:03:26.400 But keep this in mind in your life.

01:03:27.900 Where did this come from?

01:03:28.760 Was this after you saw the Jim Carrey freak face?

01:03:31.700 No.

01:03:32.280 Okay.

01:03:32.540 I thought that might've inspired you.

01:03:34.300 Jim Carrey looking all fucked up.

01:03:35.020 This was after I saw Hillary Clinton do her little press conference and she was kind of

01:03:41.180 like standing there like this.

01:03:42.720 Yeah.

01:03:43.320 A little bitchy.

01:03:43.960 And it's like, all right, that's just like how you are.

01:03:46.140 Like, that's the energy you're giving off is like, oh, I'm always frowning.

01:03:50.080 I'm, I'm, I'm, and then you look around and people are either naturally smiling or naturally

01:03:55.620 frowning when they're resting.

01:03:57.260 And then that is who they are.

01:03:59.460 Yeah.

01:03:59.900 Totally.

01:04:00.280 Let me see yours.

01:04:02.020 You have a natural up.

01:04:03.400 I don't even care.

01:04:04.380 Cause your theory's bullshit.

01:04:05.840 How about me?

01:04:06.960 Yeah.

01:04:07.240 You're a natural pig.

01:04:09.640 Not even funny.

01:04:10.580 All right.

01:04:11.920 But yeah, I guess the Robin Williams one I didn't really think about.

01:04:14.340 Yeah.

01:04:14.500 I was like, oh, he's a happy guy.

01:04:15.640 He's a happy guy.

01:04:16.420 What's he up to now?

01:04:17.560 He's bouncing off the walls.

01:04:18.820 He killed himself.

01:04:19.980 Shit.

01:04:20.240 Oh, all right.

01:04:21.660 Uh, next, uh, there, there's an upcoming trend hitting the big cat touching industry.

01:04:27.700 I wanted to touch on.

01:04:29.500 So this person is meeting a big cat and they see this, how they do it.

01:04:33.460 They put them on his shoulders, they give them milk, they distract them and we can fast

01:04:38.600 forward to the end and then you get your shot and that shot sick.

01:04:41.200 That's a nice shot.

01:04:41.920 Yeah.

01:04:42.080 But it's also like a thousand pound tiger and it's very risky.

01:04:44.940 Um, but I think the big cat touching industry is going to get smoked by AI.

01:04:50.860 Okay.

01:04:51.420 Because if AI exists and you can have clips like this.

01:04:54.400 Whoa, whoa, whoa.

01:04:55.480 Is it climbing in?

01:04:56.220 It's right here.

01:04:57.240 Surprise.

01:04:58.300 No way.

01:04:58.720 It's a woman?

01:04:59.240 Namaste, friends.

01:05:00.440 Just a little safari prank.

01:05:01.960 You scared the life.

01:05:02.700 So if you have clips like that, why would you ever need to risk it and go to a thing to

01:05:08.040 pay and touch a real cat that they're like barely keeping off of you?

01:05:11.700 Yeah.

01:05:11.880 If it's all for the picture, then who cares if the picture's fake is what you're saying.

01:05:15.500 If you have an intimate like desire and need to meet a tiger, then you have to go in person.

01:05:20.340 But if you're just looking for the picture, it might as well slop it up with AI.

01:05:23.040 AI it up.

01:05:23.980 Yeah.

01:05:24.240 And I'm going to be opening a short position on Madagascarian tiger touching businesses.

01:05:29.340 Okay.

01:05:29.980 All right.

01:05:30.720 Is that an ETF?

01:05:31.800 I don't know.

01:05:32.200 Anything like that?

01:05:33.040 I need a double leverage.

01:05:34.380 Triple leverage reverse ETF.

01:05:36.280 Madagascar tiger.

01:05:37.720 Madagascarian tiger touching businesses.

01:05:39.300 All right.

01:05:39.480 I'll look into it, boss.

01:05:40.260 All right.

01:05:40.600 The last piece of the final page of housekeeping is just a funny tweet I saw, and I thought

01:05:44.860 we want to tell you guys about it.

01:05:46.660 My neighbor told me coyotes keep eating his outdoor cats.

01:05:49.640 So I asked how many cats he has had, and he said he just goes to the shelter and gets

01:05:54.220 a new cat afterwards.

01:05:55.760 So I said, it sounds like he's just feeding the shelter cats to coyotes, and then his daughter

01:05:59.980 started crying.

01:06:02.220 Isn't that pretty good?

01:06:03.300 Yeah.

01:06:04.100 It is funny.

01:06:05.360 All right.

01:06:05.540 That's funny.

01:06:05.960 Well, that's the end of housekeeping.

01:06:07.080 We're now moving on to cringe of the week.

01:06:09.160 All right.

01:06:11.860 Our first story from cringe of the week is just a funny headline.

01:06:14.700 Can you give that a read, please?

01:06:16.040 After transitioning, my straight friends started hitting on me.

01:06:19.520 It made me feel like a piece of meat.

01:06:21.740 Maybe pork butt.

01:06:24.020 Everyone was just waiting for you to make this statement.

01:06:27.360 I'm a girl now.

01:06:28.820 Like, make no changes in your fat pig body.

01:06:31.900 It's like, oh, what a piece of ass now.

01:06:34.400 It kind of looks like a mix of you and me.

01:06:36.520 Yeah.

01:06:36.820 What do you think?

01:06:37.720 With the straightened hair.

01:06:38.760 Yeah.

01:06:39.400 All right.

01:06:39.740 Maybe one of those giant briskets.

01:06:41.360 You know, the store, they have the briskets that are like that big with all the fat on

01:06:44.480 it.

01:06:44.700 Yeah.

01:06:45.000 I'm a piece of meat.

01:06:45.940 I'm starting to feel like a piece of meat.

01:06:47.520 Like a, like a, you know, you ever see those floating whales that they're about to explode?

01:06:51.960 Yeah.

01:06:52.220 Like a rotting whale corpse.

01:06:53.760 That's probably, I agree, piece of meat.

01:06:55.340 Or the pig with the apple in his mouth and they rotate it.

01:06:58.060 Suckling pig.

01:06:58.880 Succulent pig.

01:06:59.520 Yeah.

01:06:59.700 And speaking of trans, I thought this was interesting.

01:07:02.240 It's a Reddit post, but it's about how shrooms gets rid of your gender dysphoria, maybe.

01:07:07.860 Shroom trip got me, got rid of my dysphoria.

01:07:11.180 Now I don't know what to do.

01:07:12.580 I'm 23, 120 pounds, was female to male.

01:07:16.780 Took an eighth of golden caps, not realizing how strong they'd be with a friend.

01:07:20.980 I'm still new to shrooms myself.

01:07:22.620 During its peak, my memory returned of a huge portion of my childhood and I felt like the girl I was back then instead of the boy I felt like the past decade.

01:07:33.040 Felt the boy part of me disappear and suddenly felt comfortable in my body and with my more feminine voice and demeanor.

01:07:39.980 Cried knowing the trans part of me was gone.

01:07:42.360 Went from telling my friend, I think I'm a girl now, to a few minutes later crying my ego because it was gone.

01:07:47.820 And that's what happens with shrooms is an ego death and like this persona and facade you build up goes away.

01:07:54.640 You get stripped down to what I am, really?

01:07:56.980 What was I?

01:07:58.900 How was I made?

01:08:00.260 And it was a girl.

01:08:01.500 It's something interesting.

01:08:02.480 It was a girl.

01:08:02.920 And I know people probably think shrooms are like a crazy bad thing, but I think it helps with people with PTSD too.

01:08:08.780 A lot of tech people, like high-end tech people, microdose shrooms.

01:08:13.680 So there's some interesting science there.

01:08:15.600 Maybe there's a reason they keep the magic mushrooms away and they give you a big pharma pills instead.

01:08:20.880 Interesting.

01:08:21.600 Interesting.

01:08:22.020 I'm not against it.

01:08:22.860 Yeah.

01:08:23.520 All right.

01:08:24.160 Next, we have a new they them song that just dropped.

01:08:28.260 I've got six unopened boxes from Amazon on my porch.

01:08:32.100 And I open up my windows, watch my neighbors get deported, pull out my thousand dollar iPhone.

01:08:37.720 I can't report it, but I'll record it.

01:08:39.620 And I'll upload it to TikTok because it makes me feel important.

01:08:43.060 I bought glue every year.

01:08:45.160 Look at how far we've gotten.

01:08:47.020 I've got a $12 hand-delivered latte in my fridge gone rotten.

01:08:50.400 I've got ten streaming seasons of air quotes and reality TV.

01:08:54.300 With contestants on an island whose only challenge is fidelity.

01:08:57.580 I'm like scoogey-doo, looking for clues.

01:09:04.800 Turns out this whole life is a mystery.

01:09:08.020 I can't even prove what's two plus two.

01:09:12.320 Maybe this problem is too big for me.

01:09:15.580 I just put on my big dog pants.

01:09:19.220 Now I'm learning to TikTok dance.

01:09:22.580 I like it.

01:09:24.240 Hey, I'm adding this to my non-binary playlist for sure.

01:09:28.020 It's kind of some Andy Milonakis meets Charlie Brown type shit.

01:09:31.600 I definitely felt Charlie Brown at the beginning.

01:09:34.000 Especially when he starts going like that.

01:09:35.180 Yeah, man.

01:09:38.340 And I think this is the they, them energy person, right?

01:09:41.060 Yeah, yeah.

01:09:41.640 They, them energy.

01:09:42.740 They, them energy.

01:09:43.460 And they're talented.

01:09:45.600 Yeah.

01:09:46.080 I think the lyrics are a little heavy-handed, but you're up to something.

01:09:48.920 You got four people to come over.

01:09:51.320 I've seen them on stage.

01:09:53.440 I'm using your pronouns, them.

01:09:55.220 I've seen them on stage.

01:09:56.840 You guys got something good here.

01:09:58.100 This is promising.

01:09:58.760 Yeah, but the heavy-handed lyrics, like the, the, I'm, you know, I got Amazon packages

01:10:04.080 and a latte that expired and I'm filming my neighbor get deported.

01:10:09.980 It seems like a lot of self-pity, like pull yourself up by your bootstraps.

01:10:13.880 Get out there.

01:10:14.740 Yeah, that's true.

01:10:15.720 Like your problems are the Uber eats $12 latte in your fridge and then your $1,000 phone.

01:10:21.940 I don't even get it.

01:10:22.620 Stop ordering.

01:10:23.420 Yeah.

01:10:23.920 Lock in.

01:10:24.520 And imagine this person really was a fitness buff writing songs.

01:10:29.780 Every day I wake up feeling great.

01:10:32.740 I eat my diet.

01:10:34.080 I think there's like a, this is on you.

01:10:36.380 When you write the lyrics and it's like, I'm negative and I'm anxious.

01:10:39.740 I think it's on you.

01:10:40.580 My house is disgusting.

01:10:42.000 There's shit everywhere.

01:10:42.900 It's like, all right.

01:10:44.780 Hey, I'm not, I'm not that mad at the Scooby-Doo lyrics shit.

01:10:48.220 I like the song.

01:10:49.040 I'll add it to my non-binary playlist, like I said.

01:10:51.780 And it's catchy.

01:10:52.900 We'll see.

01:10:53.220 And you're, and that there is some talent there.

01:10:55.420 We're not going to disqualify that.

01:10:57.080 Yeah.

01:10:57.900 Yeah.

01:10:58.260 And then I found this skit.

01:10:59.480 This guy did.

01:11:00.100 I thought it was pretty good.

01:11:01.040 And it kind of falls in line with the left versus right dynamic.

01:11:04.240 Why are you left wing?

01:11:05.440 Because my entire ego is constructed on the foundations of a moral superiority complex,

01:11:09.280 which itself is pegged to a pathological hyperreality that when challenged or questioned

01:11:13.420 makes me extremely angry and aggressive because it feels like my entire identity is under

01:11:17.480 existential threat.

01:11:18.680 And I developed this mental model as an adolescent in order to make sense of the unfairness of nature.

01:11:23.220 But due to lacking the introspective courage to challenge my own beliefs, it's easier to just

01:11:27.380 pretend to not to understand things than face the terror of realizing that I might have been

01:11:31.060 misled my entire life and could even be rejected by the tribe.

01:11:34.280 So it's kind of like a defense mechanism.

01:11:36.440 I have to pretend to find that term problematic.

01:11:38.800 Oh, right.

01:11:39.280 Sorry.

01:11:39.480 That's kind of what we're dealing with.

01:11:41.160 And that's for white people.

01:11:42.700 If you ask an Indian or a black person why they're a Democrat, they'll just say, help me out.

01:11:48.720 Help my people out.

01:11:49.900 Right.

01:11:50.180 For both of those.

01:11:51.160 That's more for a white person justifying why they're giving the country away.

01:11:54.420 Right.

01:11:54.900 That's very true.

01:11:56.000 All right.

01:11:56.220 Our next section of cringe is the one we mentioned in the intro.

01:11:58.960 It's people feeling sorry for themselves.

01:12:01.040 You're passionate about this one.

01:12:02.340 I got excited about this.

01:12:04.220 So basically, we have two example clips, but it's basically the same thing.

01:12:08.860 These guys post videos and they call it my Friday night as a 25-year-old who doesn't go out.

01:12:15.000 And it's supposed to be sad, I think.

01:12:19.160 Imagine some sad copyrighted music over at 6.37 p.m.

01:12:23.480 He picks up the slop, then he plates it, and he pours a cold one, and that's filtered water.

01:12:31.040 Heads to the couch, dinner tray.

01:12:33.260 He likes it.

01:12:35.560 Washing the dishes.

01:12:37.600 Then he gets an evening popcorn bag filmed from inside the microwave.

01:12:44.260 Time to relax.

01:12:46.240 Netflix, Beauty and the Beast.

01:12:47.860 He's watching Beauty and the Beast.

01:12:49.560 Beauty and the Bester.

01:12:51.040 And besides plating the Uber Eats and cleaning the dishes, this is a normal night.

01:12:55.540 Yeah.

01:12:56.080 I think that's the point.

01:12:57.600 There's a new content lane of doing the mundane.

01:13:01.260 But I just don't get, like, what do you want to happen?

01:13:03.800 You want a girl to see it and go, oh, this doesn't seem so bad.

01:13:06.440 You actually got a cue.

01:13:07.360 Maybe I could come over and watch Netflix with you.

01:13:09.400 Like, what do you think is going to happen?

01:13:10.740 I think that's actually fair.

01:13:12.140 I think that's what they want to happen.

01:13:13.720 You think you're going to get a girlfriend from this?

01:13:15.140 Like, what, pity girlfriend?

01:13:16.380 Like, oh, this doesn't seem so bad.

01:13:17.800 Or a girlfriend who does the same thing.

01:13:19.240 Plates her Chick-fil-A.

01:13:20.200 You're a handsome guy, actually.

01:13:21.640 You're exactly my type.

01:13:23.440 You.

01:13:24.000 This is how I found you.

01:13:25.220 I think you're on to something.

01:13:26.000 And we've all had nights that look like this, but we don't put our fast food on a plate.

01:13:30.500 This isn't even the content.

01:13:31.720 Yeah.

01:13:32.340 Yeah.

01:13:32.920 What's the content of this?

01:13:34.040 You're, like, using paper towels?

01:13:35.420 Yeah.

01:13:35.860 Here, you want to play the next one?

01:13:36.860 Yeah, I'll play the next one.

01:13:37.780 This is an Asian guy, and his Friday night is a 31-year-old.

01:13:42.920 I'm calling you to stay.

01:13:45.060 That's a big bag.

01:13:46.840 Big Chipotle bag.

01:13:48.400 Now, now, now, now.

01:13:50.660 And they have the sad music, which we can't play.

01:13:52.580 Now, now, now, now.

01:13:54.600 You're opening all the cabinets.

01:13:57.000 You're videoing yourself pouring water.

01:13:59.960 Yeah.

01:14:00.220 Oh, I'm drinking this drink.

01:14:02.660 It's like a logistics.

01:14:03.480 Oh, I ordered Chipotle.

01:14:04.900 Yeah.

01:14:05.480 What's the content?

01:14:07.140 What's the edge here?

01:14:08.140 What am I coming back for?

01:14:10.000 To watch you plate Chipotle in Buffalo Wild Wings?

01:14:13.260 Yeah, it's a wing place, actually.

01:14:14.660 I don't get it.

01:14:15.500 I don't get why everyone's plating this food.

01:14:17.760 You don't just eat standing up in your kitchen like everyone else?

01:14:20.100 Like a real pig who just got the slop?

01:14:22.260 Then you graze all night and you come by and you have a bite here and there and you have

01:14:25.380 like five different things out and you just eat standing up.

01:14:27.700 I thought that's what everyone was doing.

01:14:29.040 Yeah.

01:14:29.580 It's interesting.

01:14:30.540 There's this, I don't know, procedural content.

01:14:34.260 It's procedural.

01:14:35.780 There's no like my personality is coming through.

01:14:38.540 There's no here's what I'm excited about or here's me showcasing like my quirks.

01:14:44.480 No bits.

01:14:45.220 There's no bits.

01:14:46.140 It's procedural.

01:14:46.880 No personality.

01:14:47.620 They really just make you watch them eat Chick-fil-A on a lonely Friday night.

01:14:52.020 And then you know what you really spent your night doing?

01:14:54.400 Editing.

01:14:54.740 Moving the monopod around and then getting all these shots of you doing nothing and then

01:14:59.840 editing that together.

01:15:01.040 That was your real Friday night.

01:15:02.440 Yeah.

01:15:02.540 You should do a video of here's my lonely Friday night.

01:15:05.600 He's a 21 year old, blah, blah, blah, who makes content about being lonely and has

01:15:08.860 to edit this video.

01:15:09.860 And then you could actually have a video of you editing the video.

01:15:12.140 That would actually be funny.

01:15:13.240 You know what could?

01:15:13.980 Yeah.

01:15:14.260 Yeah.

01:15:14.600 And then you're like, and then, yeah.

01:15:16.540 The meta is like smoking a joint or like in premiere and then like doing it like,

01:15:21.560 oh, what's this?

01:15:22.640 You know, that's how your night really went if you did it.

01:15:26.200 There's a new angle that I just thought of called flooding the market, right?

01:15:31.500 So this is two guys making the same kind of content, the lonely pity girlfriend content,

01:15:36.500 right?

01:15:37.440 I'd like to make some of this content with AI, flood the market, make all this content cheap

01:15:42.760 and then drown these guys out.

01:15:44.380 That's a good idea.

01:15:45.220 Then you kind of flood the market with slop and then all of a sudden nobody cares about

01:15:49.740 what these guys are up to anymore.

01:15:50.820 That's very, very smart.

01:15:52.140 But yeah, this pissed you off.

01:15:53.620 I was like, these guys are trying to do something and, you know, I don't know.

01:15:59.020 This, it just seems dumb to me.

01:16:01.140 It doesn't seem like anything really crazy.

01:16:03.320 Their grandparents, you know, their grandpa got a black lung in a coal mine and didn't make

01:16:07.420 content about that.

01:16:08.420 Yeah.

01:16:09.000 You're right.

01:16:09.740 You're right.

01:16:10.100 But this really pissed me off because it's trying to make everyone feel bad for them

01:16:16.220 because like, oh, I'm just a sad, normal guy and this is what we're up to.

01:16:20.100 But it's actually not pity they're looking for.

01:16:22.580 They're looking for a girlfriend.

01:16:24.200 Okay.

01:16:24.460 So they backdoor.

01:16:25.400 And that's like a skeezy thing.

01:16:27.000 It's like when the feminists are actually the ones who are going to like take advantage

01:16:29.920 of you when you're too drunk.

01:16:31.600 Totally.

01:16:32.160 It's like the same thing.

01:16:33.540 I got you.

01:16:34.000 Or it's like, oh, I'm just a nice guy.

01:16:35.340 I'm so normal.

01:16:36.140 Look how I'm like a sweet guy.

01:16:37.440 And meanwhile, you're editing this video.

01:16:39.060 Oh, this will make me look so sad.

01:16:40.160 And then girls going to say, oh, don't be sad.

01:16:41.620 I actually live in the same building as you.

01:16:43.260 Maybe we can go for a walk.

01:16:44.560 Let's go get a coffee.

01:16:45.520 You're really cute.

01:16:46.300 I want to come over to your apartment and we can do this stupid Netflix night together.

01:16:49.980 We can put, we can plate the food and Netflix together.

01:16:52.440 That's what they want to happen.

01:16:53.640 And that's not what's going to happen.

01:16:55.340 I think that's a funny idea though.

01:16:56.700 The like, like you do that little simple, like the good boy, like, oh, I play the

01:17:01.980 plated it and I did it.

01:17:03.020 And then like when it comes time to edit it, what you're really doing, you're like

01:17:06.060 smoking a joint.

01:17:07.040 You're dripping a beer.

01:17:08.140 You're like, not now, mom.

01:17:09.300 I'm editing the fucking video.

01:17:11.000 You become a dick.

01:17:12.240 Yeah.

01:17:12.500 That would be funny.

01:17:13.640 These guys are just eating Chick-fil-A alone.

01:17:15.720 And they're trying to show, oh, I cleaned the dishes.

01:17:17.960 Oh, I plate the food.

01:17:18.980 I'm a normal guy.

01:17:20.020 Are there any girls out there looking for a normal guy anymore?

01:17:23.560 I wish I had some chips.

01:17:25.240 I wish I had some chips.

01:17:27.940 All right.

01:17:28.400 Well, that's the end of cringe.

01:17:29.420 We're now moving on to urban decay.

01:17:31.980 All right.

01:17:34.300 Our first story from urban decay, another fake hate crime just dropped this time at

01:17:38.640 Chipotle.

01:17:39.520 A black woman walking into a building and you see something hanging from the roof.

01:17:44.300 The first thing your mind goes back to is slavery.

01:17:47.520 And the fact that it's still happening today in 2026, people are still being home and it's

01:17:53.460 supposed to be taken as a joke.

01:17:54.960 It's not funny.

01:17:55.460 And all I got was a text message.

01:17:57.040 Are you done?

01:17:58.940 That's all I got.

01:17:59.640 No, are you okay?

01:18:01.460 What happened?

01:18:02.380 Do you want to talk about it?

01:18:03.840 We reached out to Chipotle's corporate office asking about this incident.

01:18:07.460 We received a statement saying in part, quote, the employees involved said that there was

01:18:11.860 no racial motivation or intent behind the display referenced in the social media post.

01:18:17.040 Adding, we understand how it may have been perceived and we take these concerns very seriously.

01:18:22.860 At some point in time, enough is enough.

01:18:27.860 And what I will have to say to the CEO of Chipotle is what you perceive as being offensive may not be what I perceive as being offensive.

01:18:42.000 Therefore, yeah.

01:18:43.700 And then the skeleton on displays had a name tag that said Vinny in the Chipotle uniform in

01:18:49.440 the Chipotle uniform named Vinny.

01:18:50.980 Have you ever met a black guy named Vinny?

01:18:52.580 No, I don't think I ever have.

01:18:54.100 It's an Italian name, guys.

01:18:55.220 Yeah.

01:18:55.740 And then everyone at this location had to do sensitivity training and the employees who put

01:19:00.380 the skeleton up were fired.

01:19:02.120 Crazy.

01:19:02.640 So they took this retarded girl's word for it because anything that's hung up that looks

01:19:09.820 like a human is slavery, which I don't get.

01:19:13.540 Hasn't the noose and hanging people been around forever for everything?

01:19:17.660 Isn't that pretty standard across all cultures?

01:19:20.360 And then like everyone, like hanging as a punishment is like pirates.

01:19:25.900 Yeah.

01:19:26.400 Like every, everyone had that.

01:19:28.460 Or like a head on a pike.

01:19:29.560 It's like you kill someone and then it's meant to send a message, right?

01:19:32.320 And then for some reason, it's only slavery because that's the only thing this person

01:19:35.520 is looking for.

01:19:36.760 It's the hammer and the nail thing again.

01:19:38.460 Hammer finds the nail.

01:19:39.860 But my favorite thing is like, at what point do you go, oh, I overreacted?

01:19:46.540 It's always, they aren't listening to me.

01:19:49.400 They don't know what it's like to be a black woman in America.

01:19:51.940 There's always that.

01:19:53.160 There's never the, hey, snap out of it, lady.

01:19:55.640 You're crazy.

01:19:56.200 This has nothing to do with black people.

01:19:57.560 Like she could go down a line of people and it's like three Chipotle workers, two white

01:20:03.580 customers, and one black customer.

01:20:05.080 And she'd go, hey, does this have anything to do with slavery?

01:20:07.940 They go, no, no, no, no.

01:20:11.300 And then she finally gets to the black person and goes, I don't know, kinda.

01:20:14.420 She goes, that's what I thought.

01:20:15.800 I knew it.

01:20:16.420 I knew it.

01:20:17.100 You know, it's like a weird thing where you have to listen to her and, and you don't,

01:20:22.780 you don't.

01:20:23.260 This is like a customer, a nothing, nobody.

01:20:26.100 Yeah.

01:20:26.700 And just because we hung up a skeleton doesn't mean it's about you, babe.

01:20:30.120 Yeah.

01:20:30.660 That ain't how it goes at this Chipotle.

01:20:32.560 Yeah.

01:20:33.040 Anything can be connected to anything.

01:20:35.440 Yeah.

01:20:35.660 For example, Richard Rappoy, give me a random word and I will connect it to slavery.

01:20:40.560 Okay.

01:20:42.160 Like six degrees, six degrees of separation.

01:20:44.040 All right.

01:20:44.920 Bandana.

01:20:46.520 Bandana.

01:20:47.340 Bandanas were worn to cover the face of bandits.

01:20:50.120 Bandits were hunted by the police.

01:20:52.340 What are the police based on?

01:20:54.180 Slave catchers.

01:20:55.120 Whoa.

01:20:55.940 See?

01:20:56.440 It's not even hard.

01:20:56.980 I got that.

01:20:57.160 Don't wear that bandana around me.

01:20:59.600 That's basically what this is.

01:21:01.300 Like something's hung.

01:21:03.000 You know what else is hung?

01:21:04.180 Christmas lights.

01:21:05.280 Christmas lights get hung.

01:21:06.740 You, you racist?

01:21:08.380 There's, it's so much cope.

01:21:09.980 And then I don't get how ABC 15 comes out and films for this.

01:21:15.460 No.

01:21:15.900 Yeah.

01:21:16.440 Everyone's afraid to be like, I don't think it's that serious.

01:21:18.540 I think they're doing a joke about Vinny.

01:21:20.340 Maybe Vinny used to work there and now it's the ghost of Vinny.

01:21:23.720 Yeah.

01:21:24.000 Because he hasn't been here in so long.

01:21:25.360 I don't think it's about black people.

01:21:27.920 Yeah.

01:21:28.440 Nobody, nobody like is the adult in the room at these fake hate crimes.

01:21:31.560 I didn't realize Chipotle workers thought so deeply about history.

01:21:34.860 Yeah.

01:21:35.280 They're constantly, and they're supremacist.

01:21:37.580 The Mexican fast food minimum wage workers are actually white supremacists.

01:21:42.980 Must have gotten really good grades in history class.

01:21:45.680 All right.

01:21:45.880 Let's get to our next story.

01:21:46.980 This takes place in Paris.

01:21:48.680 There was a massive brawl at one of their events.

01:21:51.780 And if you look closely, everybody besides the security guard in the yellow shirt and the shoulder sling is fighting, yelling, or filming.

01:22:17.920 No one's really trying to stop it.

01:22:19.360 And there's one lady who punches both sides of the fight.

01:22:22.840 So there's no, it's just, I'm looking to get some punches in.

01:22:26.380 Yeah.

01:22:26.460 There's no order in the chaos.

01:22:28.360 And that's France.

01:22:30.040 And I don't, I don't understand why France imported so many African-Americans.

01:22:34.800 Like, they'd have no history of slavery.

01:22:36.960 They have no real sins to repent for, for the past or anything.

01:22:42.620 So how did it get like that?

01:22:44.040 And that looked like, you know, that looked like Detroit or L.A. or any American city that's Atlanta, New Orleans, you know.

01:22:52.840 Same behavior happens everywhere when you get a certain population in, right?

01:22:56.240 Yeah, it's very true.

01:22:57.580 And then that congressman who had the sign up at the State of the Union, Black People Aren't Apes.

01:23:03.260 Yeah.

01:23:03.860 Didn't age well with this clip.

01:23:05.420 Bad timing for that clip to come out.

01:23:07.420 And then this took place in Paris.

01:23:09.100 Yes.

01:23:09.360 And what were you saying before the show about Paris and Detroit?

01:23:13.540 Well, so Paris and Detroit.

01:23:16.020 Or sister cities or something?

01:23:17.140 No, no.

01:23:17.840 Detroit, they used to call Detroit Paris of the Midwest during the heyday of, you know, automobiles and manufacturing and, you know, Buick and all the auto manufacturers up there.

01:23:27.660 So it was a really nice place, right?

01:23:29.680 And then Detroit had its decay.

01:23:32.160 All the manufacturing of automobiles got shipped overseas.

01:23:35.260 It was gutted.

01:23:36.300 And then Detroit wasn't really the Paris of the Midwest anymore.

01:23:40.340 It was kind of in urban decay.

01:23:42.060 And now I think it is the Paris of the Midwest again.

01:23:44.900 It came back all the way around.

01:23:45.800 It came all the way back around.

01:23:46.940 But unfortunately, both cities are just down here now.

01:23:50.060 They're down here and they're like shit and they have fights like this.

01:23:53.340 So it is the Paris of the Midwest all over again.

01:23:56.160 It's back to Paris of the Midwest, but not in the good way.

01:23:59.520 Very true.

01:24:00.480 All right.

01:24:00.780 Our next story, this woman got caught and fired for stealing the mail.

01:24:04.960 Investigators say 35-year-old Giovanni Jameson Lewis of Mastic Beach is facing multiple larceny charges for stealing items from envelopes and greeting cards at the Oakdale Post Office.

01:24:16.180 I think it's a violation of our trust.

01:24:17.780 Investigators say on November 19th, they say she took two sealed envelopes containing greeting cards and gifts out of the outgoing mail bin.

01:24:24.700 Very disrespectful to the post office, which is older than America, by the way.

01:24:29.100 Yeah.

01:24:29.780 And back in the day, a guy on a horse would deliver your letter anywhere in the colonies for a third of a penny.

01:24:36.640 Yeah.

01:24:36.860 And now we have people opening your mail, hoping to steal a $30 anthropology gift card.

01:24:43.340 Yeah.

01:24:43.660 That's the jackpot for a girl like her.

01:24:45.720 You can see her cutting it open and then like with her long nails done, pulling it out from underneath her sweatshirt.

01:24:52.700 Just an untrustworthy person.

01:24:54.480 And a mailman for like, if you're a low achieving black woman, a mail carrier is kind of the end game.

01:25:03.000 So you're in a union, or I think they're in a union.

01:25:06.180 Probably.

01:25:06.740 They get good benefits.

01:25:07.720 It's a federal employee or whatever.

01:25:10.140 And then you're putting that all at risk for like maybe $60.

01:25:13.740 Yeah.

01:25:14.100 And you're on camera doing like grand theft.

01:25:16.780 Yeah.

01:25:17.140 It's a federal crime because you're opening the mail and then you lose all your benefits.

01:25:21.080 And then you also lose your pension, which the federal government matches.

01:25:24.900 That's what I'm saying.

01:25:25.620 So many things working for you, you get a pension.

01:25:28.080 That's like so rare these days.

01:25:29.240 And now you're going to throw it all away for maybe a $20 birthday card from grandma.

01:25:33.920 And that's what we mean by low impulse control.

01:25:36.780 Like anybody who's got a big pension and a big career, they all could have stolen $80,

01:25:41.980 but they have the impulse control because they know this is bigger than me.

01:25:46.120 I have a pension.

01:25:47.060 I got a family.

01:25:47.840 This is a great gig.

01:25:49.320 I get annual raises that match inflation or beat it.

01:25:53.880 This is great.

01:25:55.520 And then she couldn't control it.

01:25:56.860 Couldn't control her impulse to steal.

01:25:58.120 We have another example here.

01:26:00.680 This Amazon worker needed to use the bathroom during his shift.

01:26:04.600 And this is where he went.

01:26:07.920 So he delivers it to the top of the stairs and then just goes and...

01:26:14.060 Whips his cack out and starts pissing on the carpet.

01:26:16.920 He just starts pissing on the floor.

01:26:19.200 And he's pissing like in a weird way too.

01:26:22.340 Like he's just spraying it everywhere.

01:26:24.420 It's like where people walk.

01:26:25.600 It's not even in the corner.

01:26:26.460 It's like right in the middle.

01:26:29.160 Yeah.

01:26:29.440 So Amazon guy pisses on carpet.

01:26:32.440 He just touched his dick.

01:26:33.620 And then now he's going to put the packages back on your stoop.

01:26:37.260 And you've been recording the whole time.

01:26:39.260 He never sold a ring cam.

01:26:41.280 That's not good.

01:26:42.120 But yeah.

01:26:43.120 And so, I mean, they steal from your mail.

01:26:46.240 They piss in your hallways.

01:26:47.980 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.

01:26:59.760 They got to stay on a schedule.

01:27:00.840 They're on an app.

01:27:01.920 It automatically routes them.

01:27:03.780 There was like a couple of years back, everyone was talking about Amazon people pissing in bottles.

01:27:07.640 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.

01:27:15.180 That's pretty normal, right?

01:27:16.220 We expect that.

01:27:17.420 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.

01:27:23.220 But there's a little American empathy for it.

01:27:25.960 You know, it could happen to anybody.

01:27:27.920 You know, you're not near a bathroom, right?

01:27:30.180 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.

01:27:39.860 I don't know what happens there.

01:27:41.460 I don't know what you're thinking, right?

01:27:42.980 That one's a little tough.

01:27:43.880 You're not really a participant in a good society if you're pissing on people's carpets, right?

01:27:48.420 Very true.

01:27:49.140 So speaking of not a good participant in society, this woman got caught on Tesla cam stealing someone's charger.

01:27:58.580 So it's an electric vehicle charging station, and she just yanks it out to Tesla and hands it to her boyfriend.

01:28:04.960 And she black, and she got a Tesla, and she know Tesla be recording, but she don't care.

01:28:11.920 She didn't think of it like that.

01:28:13.260 Yeah.

01:28:13.520 And then apparently at the end, when she was done, she didn't even plug it back into the other car.

01:28:18.440 She has left it.

01:28:19.260 Yeah.

01:28:20.180 Those are good neighbors.

01:28:21.880 That's your neighbor.

01:28:23.300 Thanks.

01:28:23.820 They help you out.

01:28:24.600 They ruin your charge, and hopefully you didn't need to go anywhere important, right?

01:28:28.340 Yeah.

01:28:28.540 Because I'm making that decision for you.

01:28:30.380 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.

01:28:38.100 Hey, what was the point of that?

01:28:40.020 Huh?

01:28:40.420 What was the point of that?

01:28:42.920 Everyone's required to pay the fare if you didn't realize.

01:28:46.600 Do you work at MTA?

01:28:47.640 Okay.

01:28:48.240 First off.

01:28:49.220 Do you work for MTA?

01:28:50.180 Of course not, but this is an affair.

01:28:51.600 Do you get paid extra money to do that?

01:28:53.020 Huh?

01:28:53.500 Huh?

01:28:54.100 Do you get paid extra money to do that?

01:28:55.540 Of course not.

01:28:56.180 Are you the one that opened the door?

01:28:57.960 Of course not.

01:28:58.600 Of course not.

01:28:59.420 So mind your fucking business next time.

01:29:01.420 Okay?

01:29:02.040 All right.

01:29:02.600 All right.

01:29:03.140 It's very stupid.

01:29:03.980 Stupid-ass nigga.

01:29:05.520 She kind of tricked him into agreeing at the end.

01:29:07.860 Well, he's autistic.

01:29:09.300 She's a thief who's bullying an autistic person afterwards and calling him the N-word.

01:29:13.940 And then posted it like she got him.

01:29:16.800 Like, what's this snitch's problem?

01:29:18.400 Yeah.

01:29:19.280 And he likes structure and rules.

01:29:22.860 Oh, yeah.

01:29:23.600 And he doesn't like to see it.

01:29:24.860 And that's, you know, we take a page out of his book.

01:29:27.100 If you're that person, we'll send you a t-shirt.

01:29:29.240 Absolutely.

01:29:29.960 That's a nice American man.

01:29:31.220 Yep.

01:29:31.380 All right.

01:29:31.800 Well, that's the end of Urban Decay.

01:29:33.860 Don't get too down or too depressed.

01:29:35.320 Moving on to Uplifting Gold.

01:29:38.520 All right.

01:29:38.980 Our first story from Uplifting Gold.

01:29:40.860 A Chinese CEO gave away $26 million to his employees because they probably needed money.

01:29:50.900 You see how everyone's waiting?

01:29:53.400 And he said, take as much as you can.

01:30:01.380 And they all just dumped the money for everybody to take some.

01:30:06.860 And it was $26 million worth.

01:30:09.480 That doesn't seem that smart.

01:30:11.560 Just dumping the money.

01:30:13.100 But it's a high trust society.

01:30:15.020 But then what?

01:30:15.440 A small girl can't get as much?

01:30:17.360 Why?

01:30:17.680 Need to take more?

01:30:18.480 I did the math.

01:30:19.420 I think everyone ended up getting about $3,000 to $4,000.

01:30:23.140 Okay.

01:30:23.780 Okay.

01:30:24.820 But it's very nice.

01:30:26.240 And I was going to say, I'm not trying to be negative and bring this back to Urban Decay.

01:30:30.260 Yeah.

01:30:31.380 But this.

01:30:33.500 One fair jumper.

01:30:35.120 Yeah.

01:30:35.460 One postal worker.

01:30:37.500 One Amazon guy.

01:30:39.140 One Tesla charger.

01:30:40.840 And all of a sudden, it's not as high trust.

01:30:42.420 This generosity doesn't work with every group.

01:30:44.860 Some groups, that would be chaotic.

01:30:46.940 Okay.

01:30:47.520 Yeah.

01:30:47.920 I'm not going to say who.

01:30:49.080 I'm not going to say which ones.

01:30:50.040 Totally.

01:30:50.640 All right.

01:30:50.920 Next.

01:30:51.440 This woman is very talented with an elephant.

01:30:56.280 You think I can still do it?

01:30:58.460 She says, this is not AI.

01:30:59.500 You can't let me drop, you know?

01:31:01.900 You can't let me fall.

01:31:03.540 It's been a while.

01:31:05.380 You think we can do it?

01:31:06.820 You think we got this?

01:31:08.560 I do.

01:31:09.400 Wait, wait, wait for me.

01:31:10.400 Just wait for me.

01:31:11.180 And the elephant listens.

01:31:12.520 Elephants are smart.

01:31:13.280 Get ready.

01:31:13.640 All right.

01:31:14.660 Sit up.

01:31:15.760 Sit up.

01:31:20.540 You got to hold me tight.

01:31:22.040 Hold me tight.

01:31:23.080 Hold me tight.

01:31:25.160 Hold me tight.

01:31:27.100 We still got it, babe.

01:31:28.480 We still got it.

01:31:29.560 All right.

01:31:30.460 I got you.

01:31:31.060 I'd like to smack an elephant like that.

01:31:33.280 He likes to slap his belly.

01:31:35.100 They're big, friendly guys.

01:31:36.580 Oh, yeah.

01:31:37.040 And they know words.

01:31:38.820 Good job.

01:31:39.260 Bravo.

01:31:40.000 Get over.

01:31:40.300 Move out.

01:31:40.620 Right there.

01:31:40.980 No, come here.

01:31:41.400 Move out.

01:31:41.900 Get that camera.

01:31:42.600 Move out.

01:31:43.080 Be easy.

01:31:44.400 He's got a beard.

01:31:45.680 And watch him grab the camera at the end.

01:31:47.160 She says, get the camera.

01:31:47.960 And he knows what that means.

01:31:49.280 He says, pick it up.

01:31:52.240 He's got little hairs on his snout.

01:31:54.240 I don't like that part.

01:31:55.140 I like it.

01:31:57.300 Good.

01:31:59.060 Good.

01:32:00.920 Good job.

01:32:01.780 We did.

01:32:02.580 That's pretty cool.

01:32:03.960 All right.

01:32:04.860 Isn't that cool?

01:32:05.560 Yeah, I like elephants.

01:32:06.720 I wish I had access to elephants.

01:32:08.800 But then you feel bad because, like, any access to elephants is probably some, like, Taiwanese guy who's really mean to them when you're out there.

01:32:14.940 Hit him with the stick.

01:32:15.920 Yeah, all the, you know, the tourist places or Thailand, wherever they have them, you're, like, you're always a little apprehensive about whether or not they're actually nice to the elephants.

01:32:25.140 When you're not around.

01:32:26.380 That's so true.

01:32:27.400 But that seemed like a good elephant relationship.

01:32:28.780 And the elephant knew words, and it was responsive.

01:32:31.640 Elephants are smart, dude.

01:32:32.760 Everybody knows that.

01:32:33.480 Elephants are smart.

01:32:33.780 It's like a giant dog.

01:32:34.900 Yeah.

01:32:35.260 Better than a dog.

01:32:36.100 Better than a dog.

01:32:36.960 Doesn't forget.

01:32:38.080 All right.

01:32:38.500 Next, this kid makes a model rocket, and he'll never forget it.

01:32:42.860 All right.

01:32:43.380 Whenever you're ready.

01:32:45.100 Three, two, one.

01:32:48.020 Pass up.

01:32:49.600 I'm ready.

01:32:55.140 Isn't that cool?

01:33:00.620 Yeah.

01:33:00.820 You ever do rockets?

01:33:01.880 Yeah, I did something like that.

01:33:03.120 I used to do rockets.

01:33:04.400 Rockets is good.

01:33:05.200 Yeah, rockets is fun.

01:33:06.180 You go out with the boys, see where they land.

01:33:08.960 It's fun shit.

01:33:09.800 Fun little kid shit.

01:33:10.480 And then you realize, oh, it shoots right up in the air.

01:33:12.620 I can aim this anywhere.

01:33:14.100 Yeah.

01:33:14.420 And then you aim it at cars, and then some car pulls over, and you run and hide in your house,

01:33:18.220 and they knock on your door, and then your mom goes, I don't think it was my kids.

01:33:21.380 He's saying it's not him.

01:33:22.840 He's saying it's not him.

01:33:23.960 He's right behind me.

01:33:24.900 The kids across the street, they're bad.

01:33:26.940 Yeah.

01:33:27.500 All right.

01:33:27.840 Next, Michael Jackson got saved in the snow.

01:33:31.280 Keep going, Michael Jackson.

01:33:33.040 Keep going.

01:33:34.200 We're still going.

01:33:35.100 Yeah.

01:33:40.060 We freeze.

01:33:43.860 We freeze.

01:33:46.040 We freeze.

01:33:48.160 That's nice.

01:33:49.320 Yeah.

01:33:49.700 It's uplifting.

01:33:50.280 See, no one gets along.

01:33:51.740 Mm-hmm.

01:33:52.300 All right.

01:33:52.520 Our last clip is our Pure Americama Clip of the Week.

01:33:55.000 It's the Snow Salt Lady.

01:33:57.280 And every little morsel.

01:33:58.580 Sandy from JP doesn't buy ice melt from the store.

01:34:01.460 It's free.

01:34:02.500 We paid taxes, so what the hell.

01:34:04.500 It's mine.

01:34:05.540 Nobody's got the balls to do it.

01:34:06.960 I got the balls to kneel down at midnight scraping salt up in this outfit, so.

01:34:10.900 What the hell?

01:34:11.760 How much do you usually collect per season?

01:34:13.840 Oh, I've had 20 gallons so far.

01:34:16.380 Whoa!

01:34:17.700 Usually it's down here.

01:34:18.780 Sure.

01:34:19.180 That's where they sit and do their business.

01:34:21.000 Ah.

01:34:21.400 In the bushes.

01:34:23.580 Let's be honest now.

01:34:24.720 We all got to go.

01:34:25.600 It's amazing more people haven't thought of this.

01:34:27.660 Well, some guy collects it.

01:34:28.640 It's pretty cool.

01:34:29.860 Not really.

01:34:31.000 It's kind of kooky old lady shit.

01:34:32.840 She's got the balls to do it.

01:34:33.960 I'm the only one who has the balls to do it.

01:34:35.360 Yeah, I don't think that's what it takes.

01:34:36.900 I don't know if it's that.

01:34:37.780 All right.

01:34:38.560 Well, that's the end of the show.

01:34:39.900 Thank you guys for watching all the way through.

01:34:41.840 No shout outs today because I still need a break.

01:34:44.220 I think we're going to come back and do shout outs on Friday and we're going to make them

01:34:47.720 a Friday thing only.

01:34:49.500 Whatever, brother.

01:34:50.420 Whatever.

01:34:51.060 I just can't do it.

01:34:52.200 I get it.

01:34:52.880 I have like this running list of all these shout outs and I don't know.

01:34:57.300 We'll get back to it.

01:34:58.500 It's just there's seasons for it.

01:35:00.060 You know, there's no rules.

01:35:01.800 You don't have to do anything, brother.

01:35:03.620 I know.

01:35:04.460 So I don't mean to let you down.

01:35:06.380 Yeah.

01:35:06.880 Hey, here's a poll that I just saw right before the episode ends.

01:35:10.380 New poll.

01:35:10.920 50% of Canadians have an unfavorable view of India.

01:35:14.960 So, you know, Nav, that's what we're kind of talking about.

01:35:18.660 We're letting other people learn the lessons first.

01:35:21.380 Yeah.

01:35:21.660 Who would know?

01:35:22.380 Who would know if adding Indians is good or not?

01:35:24.800 Canada.

01:35:25.380 They just did it.

01:35:26.060 The Indian guy or Canada and 57% and they didn't have a choice and then they dumped all

01:35:31.500 the Indians on them and they didn't want them.

01:35:33.780 How does that work?

01:35:34.620 Yep.

01:35:35.480 All right.

01:35:35.720 Well, that's the end of the show.

01:35:36.560 Thank you guys for watching all the way through.

01:35:39.260 FluckusTalks.com for a bonus land.

01:35:41.020 30-minute bonus land dropping tomorrow.

01:35:42.440 We have really good stories we're going to be covering.

01:35:44.640 So we'll see you in bonus land and then we'll see you Friday.

01:35:46.520 We'll see you in bonus land.

01:36:16.540 We'll see you in bonus land.

01:36:19.140 We'll see you in starts with a bonus land.

01:36:41.380 The only way the show can be defined, the best news podcast of all time.

01:37:03.920 On the last page of the housekeeping, we're letting us cook.

01:37:11.380 There's a new alien spin, a rat boy shoots him a look.

01:37:18.620 It's exactly what the feds wouldn't want you to see.

01:37:26.000 But it could be a distraction, and that rings true to me.

01:37:33.600 Flag is tossed, flag is tossed, get it up to the world's best toast.

01:37:38.700 Flag is tossed, flag is tossed, use the echo and tickle the post.

01:37:47.860 The only way the show can be defined, the best news podcast of all time.

01:38:00.700 We're yapping in the comments.

01:38:05.700 We're yapping in the comments.

01:38:07.700 We're yapping in the comments.

01:38:14.360 Don't get too down or too depressed.

01:38:18.500 From cringe of the week and urban decay.

01:38:22.140 This uplifting gold and fleck is pet's getting trolled.

01:38:24.700 Coming up to bite in your day.

01:38:30.700 The only way the show can be defined, the best news podcast of all time.

01:38:42.700 We're the best to keep the P.O. box full.

01:38:46.780 We won't stop till the world is rid of all the pit bulls.

01:38:56.780 If more fleck is content, is what you demand.

01:39:01.780 Then just make sure you're sub to bonus land.

01:39:10.780 Flag is tossed, flag is tossed.

01:39:12.780 Give it up to the world's best toast.

01:39:17.780 Flag is tossed, flag is tossed.

01:39:19.780 Choose the echo and tickle the post.

01:39:24.780 The only way the show can be defined, the best news podcast of all time.

01:39:42.780 We're watching old episodes.

01:39:46.780 Yeah, watching old episodes.

01:39:49.780 Flag is tossed, flag is tossed.

01:39:52.780 Flag is tossed, flag is tossed.

01:39:53.780 Buying chip cards and trading stocks.

01:39:58.780 Flag is tossed, flag is tossed.

01:40:00.780 We're still kicking over stacked rocks.

01:40:05.780 The only way the show can be defined, the best news podcast of all time.

01:40:18.780 Flag is tossed.

01:40:19.780 We're just running to do action.

01:40:21.780 cheg just Krit cases, firm are based on theirATIONS.

01:40:22.780 Those words are stadiums.

01:40:23.780 去了 action, action issues, starts.

01:40:26.780 Flag is tossed, leg is tossed.

01:40:27.780 And actions speak louder than words from the world.

01:40:31.780 Flag is tossed,berl p yこんな ways.

01:40:33.780 My name is David, my name is David, my name is David.

01:40:38.780 I am super strong, I am super strong, I am super strong.

01:40:42.780 My name is David, my name is David, my name is David

01:40:45.780 Thank you.

Fleccas Talks Podcast - March 03, 2026

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