Real Coffee with Scott Adams - Episode 2588 CWSA 09⧸05⧸24

00:00:00.000 Luckily, I memorized all of my notes.

00:00:08.180 All right.

00:00:09.400 That's three devices that have failed so far this morning.

00:00:12.640 Let's try number four.

00:00:16.100 Device number four.

00:00:19.840 Print.

00:00:22.120 I know this is the fascinating part of the show.

00:00:30.000 All right.

00:00:32.960 Print.

00:00:37.820 All right.

00:00:48.860 Do you know how close you were to watching me destroy a printer in front of you?

00:00:56.120 I had literally just decided to pick it up and destroy it.

00:01:00.300 When it started printing.

00:01:05.280 I had reached the end of my very short fuse for technology.

00:01:09.620 I was literally going to stand up, grab it, lift it above my head, and destroy it on the ground in front of you.

00:01:17.860 And it goes, ba-bing.

00:01:30.880 Yeah.

00:01:31.420 I think you have like four or five technology failures in the morning after around the fifth one.

00:01:38.140 And you get to destroy whatever it was that was doing it to you.

00:01:43.800 All right.

00:01:45.300 Let me get the locals people up here in their own special comments.

00:01:50.960 Because I can.

00:01:51.840 So did any of you have trouble getting on X today?

00:01:57.980 My morning started with X not working all morning.

00:02:00.740 But now we're all in good shape.

00:02:06.020 All right.

00:02:06.280 I've got a recommendation for you.

00:02:09.520 But I think there's something we've got to do first.

00:02:15.660 Isn't there?

00:02:16.360 There's something we have to do first.

00:02:17.820 Good morning, everybody.

00:02:22.620 And welcome to the highlight of human civilization.

00:02:26.560 It's called Coffee with Scott Adams.

00:02:28.380 You've never had a better time.

00:02:29.960 But if you'd like to take this experience up to the levels that nobody can understand with their tiny, shiny human brains.

00:02:35.820 All you need for that is a cup or a mug or a glass, a tank or chalice or a stein, a canteen jug or a flask, a vessel of any kind.

00:02:44.500 Fill it with your favorite liquid.

00:02:45.800 I like coffee.

00:02:47.240 Join me now for the unparalleled pleasure of the dopamine at the end of the day.

00:02:50.380 The thing makes everything better.

00:02:51.680 It's called the simultaneous sip.

00:02:53.660 And it happens now.

00:02:54.740 Go.

00:02:59.840 Well, that was so, so good.

00:03:02.860 Anyway.

00:03:03.220 I have the following entertainment recommendation for you.

00:03:11.080 On Netflix, there's a series that has the worst title you've ever seen.

00:03:17.320 So don't be thrown off by the title.

00:03:20.540 The title is Why Earp and the Cowboy Wars?

00:03:25.460 Why Earp and the Cowboy Wars?

00:03:28.240 Now, I thought that was going to be really stupid and fictional.

00:03:32.200 It turns out it's more of a documentary, but, you know, sort of stylized documentary.

00:03:38.820 You know, so there's an actor who plays the part, but there's lots of Ed Harris talk over.

00:03:43.340 But here's what's interesting about it.

00:03:46.060 There's a story about, you know, some vendettas and some lawmen and some shootouts and stuff you'd expect.

00:03:52.620 But here's the part that fascinated me.

00:03:56.300 Apparently, in the early part of our country, the judicial system was completely corrupt.

00:04:03.460 Just completely corrupt.

00:04:05.280 And also, the government was completely corrupt.

00:04:08.660 And you have to watch it to see how nothing's changed.

00:04:14.880 So the takeaway is that you're looking at things that happened hundreds of years ago, a couple hundred years ago, something like that, 150.

00:04:25.540 And nothing's changed.

00:04:28.500 So the richest guy in the world basically just switches out the president.

00:04:33.880 And that has something to do with Wyatt Earp.

00:04:36.260 So apparently the Wyatt Earp situation rippled all around the world.

00:04:41.120 I had no idea.

00:04:42.280 It was so connected to world events.

00:04:44.360 And the problem was, J.P. Morgan wanted to buy all the railroads and make a lot of money shipping silver from Tombstone, Arizona, to the rest of the country.

00:04:58.980 And the U.S. sort of really needed that level of business to survive.

00:05:05.440 And they couldn't do it because it was too dangerous, because of the little Wyatt Earp situation and the bad guys, the cowboys for the bad guys in this case.

00:05:16.020 So you've got to see it to look at the modern parallels.

00:05:21.040 It's basically nothing changed except we got smartphones.

00:05:24.740 Everything else was completely corrupt.

00:05:27.580 It's fascinating.

00:05:28.780 How did we ever get to this point?

00:05:30.240 Well, the Guardian reports that in England they did a study with 8,000 people.

00:05:37.040 And they're people who had various mental health problems.

00:05:41.220 And you know where this is going.

00:05:43.360 So instead of giving them pills for their mental health issues, they organized things like a bunch of outdoor stuff and things like nature walks and community gardening and tree planting and what they call wild swimming.

00:05:58.320 I don't know exactly what wild swimming is, but I assume not in a swimming pool.

00:06:05.760 Is that what wild means?

00:06:07.440 Or do you just swim in a funny fashion?

00:06:09.740 Is it more like instead of doing this, you're like, oh, is it the opposite of synchronized swimming?

00:06:16.180 All right.

00:06:16.820 No synchronized swimming, people.

00:06:19.300 It's wild.

00:06:20.280 Wild swimming.

00:06:21.840 I don't know.

00:06:22.260 Must be something in England.

00:06:24.060 Anyway, guess what?

00:06:26.040 They found that it doesn't cost as much as therapy and all their feelings about everything improved.

00:06:33.640 Exactly like you think.

00:06:35.200 Now, you know what I'm going to say.

00:06:37.420 You could have saved a lot of time and money by asking Scott if people would feel better if they had purpose and something scheduled.

00:06:47.260 And it caused them to be interacting with a whole bunch of new people so they had a social life.

00:06:55.060 Of course that works.

00:06:58.620 Everything from going outdoors to moving your legs to being social to having a purpose, 100% of that is already known to help.

00:07:06.960 So why did they even need this?

00:07:10.380 I mean, maybe just to see how important it was.

00:07:13.080 Well, now this leads me to my prediction for the computer age.

00:07:17.300 You ready?

00:07:19.280 When people ask me, Scott, how should I prepare for my career if I'm a young person?

00:07:26.100 I say, I don't know what's going to happen.

00:07:29.580 You know, the world is a funny place.

00:07:31.000 It's pretty unpredictable with AI and robots and everything coming online.

00:07:36.860 But I've got one strong prediction, which is that people are going to find meaning in doing things with other people.

00:07:47.420 And it's the only thing that will ever have meaning to us.

00:07:50.200 I want to do things, and I almost don't care what the things are.

00:07:54.420 There's a pretty wide variety of things that I'd be willing to do as long as I go there and there are other people.

00:08:01.000 And we meet at a certain time, and we know the schedule, and we do a thing.

00:08:05.520 I need that.

00:08:07.660 It's like a basic human need just to have some kind of interaction with other people.

00:08:12.720 So I think if you become an organizer of events, I feel like that's something that AI will have trouble taking over because there's too much of a human element to that.

00:08:25.280 It might help you with scheduling, you know, some of the boring parts.

00:08:28.880 But I think if you just simply said, hey, neighborhood, I'm going to start organizing a bunch of things.

00:08:37.140 You know, in my neighborhood, or one of my neighbors is an organizer.

00:08:42.520 Now, she's also the, you know, the couple are the main real estate people in our area.

00:08:47.140 So it's good for them to know a lot of people.

00:08:49.520 But on top of that, they're just great organizers.

00:08:51.820 So our neighborhood always has block parties and events and movie nights and stuff like that.

00:08:57.960 It happens all the time, like all year round, every month or so, there's something going on.

00:09:04.320 And it completely changes your experience of living in the neighborhood.

00:09:09.140 Because, you know, all the neighbors wave because we've all met.

00:09:12.960 You know, I don't know every name.

00:09:15.160 But we all know each other.

00:09:16.440 They all know who I am.

00:09:17.300 So group activities, I think that's the future.

00:09:23.660 There's a study, the Guardian is also reporting, that researchers have found that how you think is affected by your brain.

00:09:35.280 Yeah.

00:09:35.700 It turns out that according to science, your brain is the thing that can change how you think.

00:09:41.800 And if your brain is different from somebody else's brain, you might have different thoughts and feelings than they do.

00:09:49.980 I know.

00:09:50.780 I know.

00:09:51.340 It's the most surprising thing you've heard.

00:09:53.600 You could have just asked me.

00:09:56.680 And I would have said, yes, brains are the thing that cause us to think and feel.

00:10:01.720 So if my brain is different than yours, we might get a different outcome, despite our free will.

00:10:11.520 But specifically, this research was that the people who experience depression have a particular part of their brain network that's bigger than other people.

00:10:21.420 Does that tell you that the people with depression have no hope because there's part of their brain that's different?

00:10:30.260 Probably not because what we don't know is how much you can change it because your brains are kind of plastic.

00:10:38.360 And if you, for example, if you were to give yourself a new habit, for example, that would rewire your brain.

00:10:48.360 So you might be able to hack around it.

00:10:50.780 But certainly your brain is what's causing you to think however you're thinking.

00:10:55.000 There's also a study by, let's see, it's written about in The Bite, that government tested AI to find out how AI does in a bunch of work-related tasks.

00:11:08.360 Oh, the trial is conducted by Amazon Web Services.

00:11:11.540 So they wanted to see how AI would do compared to humans in a bunch of tasks, such as summarizing things, you know, the stuff that humans do.

00:11:20.380 And you would not be surprised that AI is terrible compared to humans.

00:11:25.980 Humans are much better at summarizing things.

00:11:29.280 And there's some other small tasks here, we'll see.

00:11:32.280 So it says that the possibility of using AI in the business world is a big problem.

00:11:43.960 Because a lot of things humans still do better.

00:11:47.380 And I don't know that that's going to change.

00:11:50.440 So here's my prediction.

00:11:53.120 I think that the large language models, given that you can't rely on them to know what they're going to do, even if you train them, and it doesn't look like that's solvable.

00:12:07.380 It's not solvable unless you take away the AI part and just program it to, if somebody asks this question, this will be your exact answer.

00:12:16.480 And then it's not AI.

00:12:17.420 So I feel that our current technology of AI is very limited compared to what we think.

00:12:27.420 And I'll go further and say, if AI is not good as a replacement for an employee, are you ever going to want to have a robot in your house that's run on AI?

00:12:40.620 I'm wondering if we'll ever be able to trust it.

00:12:43.580 There's a non-zero chance that there'll never be a robot with AI.

00:12:47.900 That's, you know, more than a toy or a demonstration.

00:12:50.940 Because if you put it in your house, and it had strength and muscles and the ability to open doors and all that, and you couldn't know for sure what it's going to do, how long before it does something dangerous?

00:13:03.840 Because remember, it's got arms and legs.

00:13:06.120 And it can operate equipment.

00:13:07.900 It can turn on your oven.

00:13:10.040 Right?

00:13:10.220 But, like, what happens if it turns on your oven?

00:13:13.860 It just kills you.

00:13:15.140 Just because it was AI and it wasn't smart enough to know that might kill you.

00:13:19.800 I don't know.

00:13:21.840 Although it wouldn't know that.

00:13:23.160 I think AI would know not to turn on the oven.

00:13:25.500 So, Rasmussen has a new poll out on the presidential election.

00:13:32.080 And they've got Trump up 47 to 46, which means a tie, statistically.

00:13:37.140 And only 3% said they'd vote for some other candidate, if it's a two-person race.

00:13:44.520 And Rasmussen says that a month ago, Trump led by five points.

00:13:49.140 But Harris is steadily reducing the margin.

00:13:54.320 So, the polls are narrowing.

00:14:01.280 That's all I'm going to say about that.

00:14:06.320 Use your imagination to imagine the rest of the things I say about polling.

00:14:11.880 Can you do that?

00:14:13.400 Can we save some time?

00:14:14.500 Can we all just stipulate that every one of us is thinking exactly the same thing about presidential polling right now?

00:14:22.720 Yeah.

00:14:23.720 Let's just stipulate, stipulate.

00:14:30.820 Why is my printer just starting up and making noise?

00:14:37.440 It's going through some kind of cycle over there.

00:14:39.600 Well, as you know, there was a school shooting, and that's all I'm going to say about that.

00:14:45.580 Because I don't like to say the names or give any attention to it.

00:14:49.160 I hope you're on board with that.

00:14:51.860 We're just not going to talk about it.

00:14:53.920 It doesn't help.

00:14:56.000 It just doesn't help.

00:14:57.660 I mean, it could hurt, but there's no way it's going to help.

00:15:02.040 So, I'm just going to let the other news talk about it all they want.

00:15:04.940 Laura Loomer, I saw next, said, have you noticed there's always a school shooting in a swing state or a caucus state right before an election?

00:15:13.920 Well, I haven't noticed that.

00:15:18.340 I've noticed that they happen, you know, on a regular basis.

00:15:22.640 So, I feel like it's been a long time since we had one.

00:15:26.860 I hate to say it was overdue, but kind of felt that way.

00:15:30.040 I do not think that it is possible to trigger people to do school shootings on a political schedule.

00:15:39.620 If that's possible, we all have a lot to learn about brainwashing.

00:15:44.820 Because I don't think it's possible.

00:15:46.980 It's definitely possible to get somebody to do something on their own schedule.

00:15:51.400 You know, if you work on somebody for years and years, you could get them to go kill somebody.

00:15:55.880 You know, you'd have to work on them for years.

00:15:57.440 Kind of like Thomas Crooks, probably there was a long, extended communication with somebody.

00:16:06.400 That's my speculation.

00:16:07.960 There's no evidence of that.

00:16:09.820 But I speculate he was dealing with some brainwasher over a long period of time.

00:16:14.480 Just speculation.

00:16:16.600 Well, according to The Hill, we have now some results.

00:16:20.720 Because the Supreme Court struck down the using race to get into college.

00:16:26.940 The Asian Americans, in particular, were interested in making sure that they had a fair shot to get into college.

00:16:34.120 And they thought that the DEI, et cetera, were causing them to be rejected from the good colleges.

00:16:42.120 And lesser qualified people were getting in, they said.

00:16:44.680 So, how did that turn out?

00:16:45.500 So, colleges tried to adjust.

00:16:48.860 And as people were worried, the number of, or the percentage of new applicants who are black dropped.

00:16:59.520 But not everywhere.

00:17:01.060 Not everywhere.

00:17:03.200 So, MIT said that black applicants went from 25% down to 16%.

00:17:13.340 That's a big drop.

00:17:15.960 It's a big drop.

00:17:18.320 Meanwhile, but this is interesting.

00:17:20.440 Over at Yale, they got more white people in.

00:17:27.060 So, Yale, as a percentage, accepted more white applicants.

00:17:31.980 But it decreased the percentage of Asian Americans who got into Yale.

00:17:41.300 Now, let me just say this again.

00:17:42.820 It was the Asian American population who, in my opinion, I think this is true, were the driving force behind getting the Supreme Court to say, hey, you don't use race and admissions.

00:17:54.660 And then at Yale, the outcome is that they admitted fewer Asian Americans.

00:18:01.600 How did that happen?

00:18:03.020 I do not know.

00:18:04.560 I do not know how that happened.

00:18:06.900 But they say it happened.

00:18:08.980 But it's black and Hispanic enrollment held steady.

00:18:13.980 So, Yale, I don't know how to interpret this other than Yale just found a different way to discriminate.

00:18:22.600 And they just changed who they're discriminating against.

00:18:25.680 I mean, I don't have proof of that.

00:18:27.740 But the results kind of suggest that they were a little bit anti-Asian American.

00:18:34.180 So, maybe they have to explain that.

00:18:37.880 Anyway, so that happened.

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00:19:41.880 Tony Heller, who is a notable climate change skeptic.

00:19:48.680 He's mostly a skeptic, I think, more than anything about the temperature measurements.

00:19:53.600 But here's something that Tony Heller is reporting.

00:19:56.740 He says, apparently, a lot of the NOAA numbers that they have for temperatures, a lot of them are estimates.

00:20:09.080 So I don't know if you knew that.

00:20:11.060 So sometimes they'll use the actual measurement, but there are some special cases, just special cases, where they have to adjust it because they know there's something wrong.

00:20:21.400 But that's no big deal, right?

00:20:23.900 I mean, if most of the temperature measurements are okay, and then they have to do some estimates, let's say, for example, one of the measurement devices broke.

00:20:36.060 Well, they wouldn't want to have nothing, so they might say, all right, well, let's just assume it's the average of the last three years or something.

00:20:44.600 So you put an estimate in there.

00:20:46.460 That wouldn't be the worst thing in the world.

00:20:48.540 It wouldn't be exactly accurate.

00:20:50.020 But if you didn't do it too much, you know, it might give you some consistency that would be additive, right?

00:20:59.820 So what would be too much?

00:21:01.880 According to Tony Heller, more than half of all the data is estimated.

00:21:08.620 More than half.

00:21:09.640 Do you think that's true?

00:21:15.900 Now, I will tell you that Tony Heller is a fascinating commenter, but I'm not a believer in all of his comments, right?

00:21:24.880 So I want you to know that I don't believe that everything that Tony Heller surfaces in his skepticism will all check out.

00:21:34.500 I don't believe it will all check out.

00:21:36.360 But I also don't believe that none of it will check out.

00:21:39.640 Some of it's going to check out.

00:21:41.800 But here's his claim.

00:21:43.100 His claim is half of the data on measurements from thermometers is now estimated.

00:21:49.060 So I wasn't so sure that was right.

00:21:53.160 But then somebody pointed me to an article in Breitbart from 2022, Penny Starr wrote.

00:22:01.180 This is so funny.

00:22:03.700 A study that investigated the placement of the temperature stations around the world found out that a certain percentage of them didn't meet the standard for uncorrupted measurements.

00:22:19.000 All right.

00:22:20.000 So apparently the who is at the National Oceanic and Atmospheric Administration, NOAA, they do have a standard.

00:22:28.880 And if the measurements don't meet that standard, then, you know, you've got a problem.

00:22:34.460 But what percentage of all the current thermometers do you think don't meet their own standard?

00:22:41.820 Now, most of the standard has to do with how close you are to some kind of heat island.

00:22:46.700 You know, if there's too much civilization around, too much concrete, that will give you a fake reading if the wind blows in your direction.

00:22:55.380 So how many of them, what percentage do you think?

00:22:58.940 Take a guess before I tell you.

00:23:01.320 What percentage of all the temperature measurements do you feel don't meet the standard for accuracy?

00:23:09.020 What's your guess?

00:23:12.760 If you guessed 96%, you would be accurate.

00:23:18.960 96%.

00:23:20.000 96% don't meet their own standard for accuracy.

00:23:26.400 96%.

00:23:27.160 96%.

00:23:29.720 It could be that Tony Heller is being conservative.

00:23:35.340 It might be that, well, not, not conservative, it's a different question.

00:23:40.500 One is whether they're accurate.

00:23:42.080 And then the other question is how many, how many times do they have to use an estimate?

00:23:47.320 Because they're aware of it not being accurate.

00:23:50.900 So do you remember when I said to you, I'm no climate scientist, but I am the Dilbert cartoonist.

00:23:59.600 And if there's one thing I can tell you with complete certainty, complete certainty, humans can't measure the temperature of the Earth.

00:24:11.420 And someday that will seem hilarious to us.

00:24:14.900 Someday we will learn in school that it was hilarious that we thought we could measure the temperature of the Earth.

00:24:19.880 Now, I'm not saying that the thermometers are inaccurate if they're used properly, and I'm not saying that all the satellites that measure things are inaccurate.

00:24:31.040 I'm not saying that.

00:24:32.380 I'm saying that if you add thousands of human beings who have to do certain tasks in a certain way, and otherwise you don't get the right number, you'll never get the right number.

00:24:43.440 You can't add thousands of humans to any task and get a good outcome.

00:24:48.100 That's not a thing.

00:24:49.680 Nobody's ever done that.

00:24:51.440 There's no domain in which you could add thousands of people doing things with thousands of devices all over the planet, and then that would all work out.

00:25:02.500 No, there's nothing like that in human experience, and there never will be.

00:25:06.560 You know, I'm not even sure robots can do that.

00:25:08.640 But I guarantee you, if you put flawed, thousands of flawed, lying, selfish, weasels, humans, into any process, you're not going to get anything you can use in terms of data.

00:25:23.340 So I think that's where we are.

00:25:26.520 Well, Hunter Biden's on trial.

00:25:29.980 So he's on trial for his tax evasion.

00:25:33.320 And he's accused of failing to pay 1.4 million taxes while blowing his cash on strippers and porn, they say.

00:25:46.380 Now, you should note that he has paid back all the back taxes, so he doesn't owe anything.

00:25:51.320 He's just being accused of being forced to pay it, basically, not paying it voluntarily.

00:25:57.060 And I guess part of it is that he was writing off as business expenses his personal habits, let's say.

00:26:06.920 So, and he has a risk of 17 years behind borrowers.

00:26:11.480 Wow.

00:26:12.660 So he's got three felony and six misdemeanor charges.

00:26:16.740 Well, what do you think?

00:26:19.040 Do you think Hunter Biden, in our current world, could be found guilty, sentenced to jail, and then actually serve time?

00:26:30.240 I suppose if it's 17 years, nobody really gets 17 years.

00:26:39.360 Yeah.

00:26:41.620 And then we've got Joe Biden who can pardon him.

00:26:45.480 Can he?

00:26:46.140 Can he pardon him, or are they not all federal charges?

00:26:51.140 They're federal, right?

00:26:53.220 Because it's taxes.

00:26:54.940 Yeah.

00:26:55.200 But what if there are state taxes he didn't pay?

00:26:58.540 Is he only being penalized or charged for state violations or also federal or also state?

00:27:07.720 So I don't know whether it's fully pardonable.

00:27:11.940 But I would expect him to be pardoned.

00:27:13.980 I wouldn't even hate it that much.

00:27:18.800 You know, I would think it's obviously two tiers of justice.

00:27:22.960 Duh.

00:27:23.620 I mean, that's what a pardon does.

00:27:25.500 A pardon gives somebody a special privilege that other people don't get.

00:27:29.320 So if you were to get a pardon,

00:27:32.600 I would have mixed feelings.

00:27:34.260 Number one, I don't want to see family members of presidents sent to jail just because we can.

00:27:43.340 That's not the world I want to live in.

00:27:46.100 I don't want to live in a world where Republicans are jailing Democrats because they can.

00:27:51.000 Now, that's not exactly what we're seeing.

00:27:55.560 I'm just saying that you don't want to creep up to that line either.

00:27:59.620 You know, I don't want to be associated with a team, even though I'm registered Democrat.

00:28:06.140 I caucus with the Republicans, you might say.

00:28:09.920 I don't want to be associated with a team that's going to put people's family members in jail.

00:28:14.820 If it would not have happened, should they not have been in politics?

00:28:19.320 So that's my standard.

00:28:21.520 It's the standard I use with Trump.

00:28:23.580 Did Trump ever do anything that was technically could have been seen as illegal?

00:28:28.360 Probably, like every other billionaire, in my opinion.

00:28:31.840 Would people have been prosecuted if they'd been anybody else?

00:28:35.620 No.

00:28:36.580 No.

00:28:37.100 So you don't meet my standard.

00:28:39.480 Would Hunter be in this trouble if he were not such a high profile?

00:28:44.560 I don't know.

00:28:46.440 I don't know.

00:28:47.080 But I certainly suspect he would have flown under the radar and gotten away with it.

00:28:53.340 So even though I can be in favor of people breaking the law, being, you know, getting the justice system treatment,

00:29:01.000 I can also say this was a mixed bag for me.

00:29:04.840 Because if it looks like, you know, anybody was involved in taking Hunter down for political purposes,

00:29:11.200 then it gives the other team incentive to take somebody down for political purposes.

00:29:17.080 I just don't want to get close to that line.

00:29:19.500 So in my opinion, I would be happier if Hunter somehow gets away with the crime.

00:29:26.000 Gets away with the crime.

00:29:27.240 I think I'd actually be happier with that.

00:29:29.460 Because I just don't want to get close to that line of making this political.

00:29:33.600 Remember, he paid back.

00:29:35.760 You know, he did pay back the money.

00:29:36.980 If he owed the money, well, that would be a little different.

00:29:40.080 But there's no, at the moment, there's no victim to a crime, as far as I can tell.

00:29:46.400 Anyway, in exciting new news, there's a Department of Justice going after a company,

00:30:11.200 which everybody thinks is Tenet Media, for being influenced by Russia.

00:30:18.640 Is it Russia?

00:30:19.560 Yeah.

00:30:20.380 And so Tenet Media apparently organized six conservative podcast hosts.

00:30:28.720 And behind the scenes, unknown to those podcast hosts, who I'll name in a minute,

00:30:35.880 the organization that was paying them may have been getting his money from Russia.

00:30:41.320 That's the allegation.

00:30:42.940 And so they allegedly received $10 million from Russian sources.

00:30:48.420 Now, the founders of Tenet Media are Liam Donovan and his wife, who you might know,

00:30:56.440 a conservative influencer named Lauren Chen.

00:31:00.780 I should mention, so you don't make the mistake I did, of thinking Lauren Chen.

00:31:06.580 And then I was thinking of Melissa Chen, who's a totally different person.

00:31:10.220 So don't make that mistake.

00:31:12.000 If you're on X, you might see both of their names fly by.

00:31:16.280 They are not the same people, and they're not related.

00:31:20.000 Anyway, so Lauren Chen will have some explaining to do.

00:31:24.500 But the far right, well, they call them far right.

00:31:28.840 That's not right.

00:31:31.320 Fuckers.

00:31:32.680 I didn't even notice this when I wrote it down.

00:31:35.280 But they're calling the following people far right.

00:31:37.760 Tim Poole, Benny Johnson, Dave Rubin, and then somebody I don't know, Taylor Hanson,

00:31:45.600 Lauren Southern, and Matt Christensen.

00:31:47.860 Now, I don't know if any of them are far right, but I wouldn't call Tim Poole,

00:31:52.560 Benny Johnson, or Dave Rubin far right.

00:31:55.560 Would you?

00:31:56.180 Does that fit your sense of any of those three people?

00:32:03.000 Dave Rubin far right?

00:32:05.160 He was just barely, you know, a Republican.

00:32:11.020 I don't see how the people who read this stuff understand anything about their world,

00:32:16.440 if these guys are far right.

00:32:18.460 These guys and gals.

00:32:19.940 So, anyway, what we don't see is any indication that the personalities involved,

00:32:27.540 the podcasters, were aware of where the funding was coming from.

00:32:31.500 There is some hint in the story that they were suspiciously overpaid,

00:32:38.540 meaning that there may have been, you know, healthy cash payments

00:32:42.740 for being part of this organization on YouTube.

00:32:45.560 So, YouTube would have, like, a channel that would have all these people on it,

00:32:50.020 I guess.

00:32:51.260 And there are people who said, hmm, I am not so surprised that there's

00:32:57.220 external influence on the podcasting world.

00:33:02.380 Mike Cernovich was saying, he's been saying for a while,

00:33:06.640 assume all division grifters, in other words,

00:33:09.240 people who are trying to stoke division in the country,

00:33:13.360 are paid up or under federal control.

00:33:17.300 And he's been saying that for a long time.

00:33:21.320 Now, my problem with division grifters as a descriptor

00:33:26.120 is I feel like that's what you call the people you don't like.

00:33:31.420 And if you like the people, they're not division grifters.

00:33:34.240 They're just telling the truth.

00:33:35.680 So, I've got a little problem knowing if I'm a division grifter

00:33:38.980 by this definition.

00:33:39.980 Let me ask you, am I a division grifter?

00:33:45.820 Am I making money by causing division in the country?

00:33:49.980 Yes or no?

00:33:50.980 I actually don't know what you're going to say.

00:33:53.680 In your opinion, do I make money by creating division in the country?

00:34:00.960 Or do I even make division?

00:34:03.640 Do I cause any division?

00:34:05.380 I think I do, don't I?

00:34:10.920 I'm pretty sure if you have a strong opinion on anything

00:34:13.800 that has anything to do with sides,

00:34:15.960 it looks like more division.

00:34:21.040 Now, do I do it for money?

00:34:24.220 Yes.

00:34:25.500 Yes, I do.

00:34:26.500 I mean, in the sense that I monetize my streams.

00:34:28.840 So, am I a division grifter?

00:34:34.620 Maybe.

00:34:36.440 I mean, it's not how I think of it.

00:34:38.700 You know, in my head, I'm not thinking,

00:34:40.900 oh, I'll go create some division today,

00:34:43.360 so I'll make some money.

00:34:44.340 I don't think of it that way.

00:34:46.440 But if you were to look at just the outcome,

00:34:49.280 maybe yes.

00:34:52.300 Maybe I have said a few things

00:34:53.900 that might have created some division.

00:34:56.400 I don't know.

00:34:58.960 David Sachs asked this question.

00:35:00.680 He says,

00:35:01.000 when do we get to see who's on Ukraine's payroll?

00:35:05.000 I bet there are some much bigger names than podcasters.

00:35:09.260 Well,

00:35:09.840 that would be interesting.

00:35:12.820 Do you think that there are big entities or big names

00:35:17.080 that are somehow directly benefiting from Ukrainian funding,

00:35:22.160 directly or indirectly?

00:35:24.140 I wouldn't be surprised.

00:35:26.200 I don't have anybody in mind who I would accuse of that,

00:35:29.440 but I wouldn't be surprised.

00:35:32.020 Now, does it seem to you that this Department of Justice thing

00:35:36.740 was going to happen anyway,

00:35:38.160 or does it look like it might have been something

00:35:41.960 that is another way to hunt Republicans?

00:35:45.500 Was this just a convenient way to smear

00:35:49.440 some popular podcast types?

00:35:55.760 Do you think this would have happened just on its own

00:35:58.420 because it came up and they had some information,

00:36:01.160 so they naturally pursued it,

00:36:03.240 and here we are,

00:36:04.040 and it's just a few months before the election?

00:36:06.880 But that's just a coincidence.

00:36:08.700 It's just a coincidence, right?

00:36:10.480 A few months before the election?

00:36:12.140 It could be.

00:36:13.240 It could be totally a coincidence.

00:36:16.500 But I don't know.

00:36:21.200 America First Legal is doing great work again.

00:36:25.460 So they had tried to get from Judge Mershon,

00:36:28.660 one of the Trump judges,

00:36:31.160 they tried to get his records

00:36:34.980 so they could see if he'd made any financial connections

00:36:38.520 to, I guess, his daughter's business.

00:36:41.080 I think that's what it is.

00:36:44.080 And they didn't get a response,

00:36:46.360 so they're suing again,

00:36:49.000 so they're taking a second run at it

00:36:51.020 because they're getting stonewalled.

00:36:52.860 Now, why do you think they would get stonewalled

00:36:56.700 on Judge Mershon's financial connections?

00:36:59.500 Well, you know,

00:37:01.840 if he has no sketchy connections at all,

00:37:05.300 nobody wants you to see their finances.

00:37:08.920 Very few people would be okay

00:37:11.160 publicly disclosing their finances,

00:37:14.920 whether you're a judge or anybody else.

00:37:16.820 So I don't know if there's, like,

00:37:18.320 bad reason that they don't want to release them,

00:37:21.040 but they are stonewalling,

00:37:22.480 and that would be illegal under this situation.

00:37:27.640 Well, here's an update on the Harris tax plan.

00:37:30.820 So part of it is this $50,000 tax benefit

00:37:34.260 for new small businesses.

00:37:36.460 So as I understand it,

00:37:38.920 the small business could save $50,000 on taxes,

00:37:43.200 but it could be spread over multiple years,

00:37:46.080 and it's only against their profits.

00:37:48.640 So they're not giving them $50,000.

00:37:52.360 They're saying,

00:37:53.520 if you earn $50,000,

00:37:55.100 instead of paying taxes on it,

00:37:56.920 you don't have to pay taxes on it,

00:37:58.720 the first $50,000.

00:38:00.780 Now, that would be,

00:38:02.900 and then the reasoning is that

00:38:05.860 new businesses often cost up to $40,000.

00:38:10.580 And then I said to myself,

00:38:12.360 if I could ever open a business for $40,000,

00:38:16.600 wow.

00:38:17.080 Do you know what it costs to open,

00:38:19.700 let's say,

00:38:20.020 a small restaurant?

00:38:22.540 One to $2 million?

00:38:25.360 You have to build out

00:38:26.640 and have a restaurant

00:38:28.600 and pay the taxes

00:38:29.940 until you make money and stuff?

00:38:31.720 Yeah, it's like,

00:38:32.360 it's well over a million dollars.

00:38:34.720 So I'm not sure what kind of a business

00:38:36.440 you start for $40,000.

00:38:38.100 I'm guessing maybe something like a,

00:38:39.920 you know,

00:38:40.260 hair and nails,

00:38:42.260 massage business maybe.

00:38:43.460 So maybe some little business

00:38:46.360 where you're doing a little bit of marketing

00:38:48.040 and building a website or something.

00:38:50.520 Maybe.

00:38:51.120 Maybe you want to be a podcaster

00:38:52.620 and you need some setup costs,

00:38:54.940 build a studio.

00:38:56.320 So that would be

00:38:57.380 kind of interesting idea.

00:39:00.020 I know I hate it.

00:39:00.800 Harris is apparently

00:39:03.260 dropping her long-term capital gains tax

00:39:07.200 from what Biden would want,

00:39:08.600 which would be over 39%

00:39:10.060 down to 28.

00:39:12.020 That would be higher than it is now at,

00:39:14.700 is it 20?

00:39:16.320 What is it now?

00:39:17.020 20?

00:39:17.920 Long-term capital gains tax.

00:39:20.700 Give me a fact check on that.

00:39:22.140 Is it currently 20?

00:39:23.800 20?

00:39:25.180 And they want to make it 28, right?

00:39:26.860 Claudia was leaving

00:39:29.580 for her pickleball tournament.

00:39:30.940 I've been visualizing my match all week.

00:39:33.420 She was so focused on visualizing

00:39:35.100 that she didn't see the column behind her car

00:39:37.140 on her backhand side.

00:39:39.440 Good thing Claudia's with Intact,

00:39:41.360 the insurer with the largest network

00:39:43.040 of auto service centers in the country.

00:39:45.120 Everything was taken care of under one roof

00:39:47.060 and she was on her way in a rental car in no time.

00:39:49.560 I made it to my tournament

00:39:50.940 and lost in the first round.

00:39:53.040 But you got there on time.

00:39:54.900 Intact Insurance,

00:39:55.620 your auto service ace.

00:39:57.520 Certain conditions apply.

00:40:00.960 All right.

00:40:03.740 But that would be 28%

00:40:05.840 for only people making a million dollars

00:40:08.280 a year or more.

00:40:13.440 But we don't know what Trump wants.

00:40:18.660 He might, yeah.

00:40:19.760 So I think Trump's tax plan

00:40:21.620 is a little unclear at this point.

00:40:22.880 The House Education and Workforce Committee,

00:40:27.220 so this is members of the House,

00:40:30.360 have subpoenaed Tim Walsh

00:40:33.100 for records related to,

00:40:36.440 I guess it was a $250 million

00:40:39.220 COVID relief fraud

00:40:40.880 just in his state.

00:40:43.220 So they want to find out, I guess,

00:40:44.980 if he had any connection

00:40:46.060 to $250 million going to the wrong people.

00:40:51.520 I thought I saw a post by Elon Musk.

00:40:53.940 He was boosting somebody's post

00:40:55.700 that said something like

00:40:57.280 over $200 billion a year

00:40:59.120 in government spending

00:41:01.000 is totally wasted

00:41:02.260 through corruption.

00:41:04.400 Over $200 billion a year

00:41:06.480 is wasted of government spending

00:41:09.280 on corruption.

00:41:09.940 Here's the biggest thing

00:41:12.260 we need to do.

00:41:14.300 I don't think

00:41:15.480 politicians should ever be allowed

00:41:18.620 to decide where money is spent.

00:41:22.940 It's the one thing

00:41:23.980 that guarantees corruption.

00:41:26.220 As long as government entities,

00:41:29.220 especially in smaller towns and stuff,

00:41:32.100 if they're the ones who decide

00:41:33.460 where you spend the money

00:41:34.540 and what vendor you hire,

00:41:36.600 you have a corrupt system.

00:41:38.460 There's no way around that.

00:41:39.360 You just can't let

00:41:40.940 you can't let the politicians decide.

00:41:44.320 There should be some kind

00:41:45.080 of a transparent bidding process

00:41:47.060 where the public

00:41:48.320 can watch every step of it

00:41:49.960 and know if something sketchy happened.

00:41:55.060 Anyway,

00:41:56.200 I do wonder if this is a fishing expedition

00:42:01.280 that's just purely political.

00:42:03.800 If they have some reason

00:42:05.220 to legitimately believe

00:42:06.800 that Tim Walsh

00:42:07.880 is connected to some bad behavior,

00:42:10.560 then it makes sense.

00:42:12.840 But if they're just saying,

00:42:14.060 hey, it's a, you know,

00:42:15.300 it's a political year,

00:42:17.160 so why don't we go fish around

00:42:18.920 in this guy's backyard?

00:42:21.620 That's a lot less cool.

00:42:23.960 You know,

00:42:24.260 there are a lot of other states,

00:42:25.620 I'll bet they all had problems,

00:42:27.720 but you're just going to bug this one?

00:42:29.120 I would say I'm tentatively uncomfortable

00:42:33.760 with the idea

00:42:35.600 that he may be getting singled out

00:42:37.280 because I'm pretty sure

00:42:39.180 all the states

00:42:40.020 had some kind of big,

00:42:41.260 massive corruption problem

00:42:42.420 from the pandemic.

00:42:44.880 Anyway,

00:42:45.680 Barron,

00:42:46.220 Barron Trump

00:42:47.040 is going to college.

00:42:48.940 He's going to NYU,

00:42:50.460 the NYU Stern School of Business,

00:42:52.640 first day.

00:42:53.140 And here's the part

00:42:56.260 that caught my attention.

00:42:58.280 Apparently,

00:42:58.840 he'll be living

00:42:59.520 in Trump Tower.

00:43:01.680 So because he's going

00:43:02.940 to school

00:43:03.580 in New York City,

00:43:05.820 it just makes sense

00:43:06.860 he lives at Trump Tower.

00:43:08.680 Can you imagine

00:43:09.460 being 18 years old

00:43:11.140 and living in a city?

00:43:15.220 I don't know

00:43:15.980 who's with him.

00:43:17.020 I mean,

00:43:17.260 I'm sure he has security

00:43:18.820 and, you know,

00:43:19.720 there's probably

00:43:20.100 some live-in help

00:43:20.980 and stuff.

00:43:22.740 But where's Melania?

00:43:24.840 Is Melania going

00:43:26.100 to be living

00:43:26.520 in New York City

00:43:27.200 with Barron?

00:43:30.980 Something tells me

00:43:31.980 she'll spend,

00:43:32.800 you know,

00:43:33.100 maybe two-thirds

00:43:34.000 of her time up there

00:43:34.980 just so she's with Barron.

00:43:38.400 I don't know.

00:43:39.360 I think it's fascinating,

00:43:40.760 though,

00:43:40.920 that he's 18

00:43:42.920 and he's going to be

00:43:43.620 living in the Trump Tower

00:43:44.580 without his,

00:43:45.320 at least without his dad,

00:43:46.820 except when he's in town.

00:43:49.760 All right,

00:43:50.260 here's the fun part.

00:43:51.160 So,

00:43:51.480 Trump did his town hall

00:43:53.980 and PolitiFact,

00:43:56.900 who I believe

00:43:58.000 you would say

00:43:58.560 leans left,

00:43:59.940 did some fact-checking.

00:44:01.940 So,

00:44:02.440 would you like to hear?

00:44:03.240 This is something

00:44:03.720 I don't normally do.

00:44:04.940 I don't normally read

00:44:06.360 all the left-leaning

00:44:08.020 fact-checking

00:44:08.820 because I think

00:44:09.320 they're just lies.

00:44:10.680 So,

00:44:11.200 let's have some fun

00:44:12.000 and see what PolitiFact,

00:44:14.280 which I do not consider

00:44:15.560 the last word in facts,

00:44:17.620 let's see what they said.

00:44:19.680 Now,

00:44:20.080 here's what we'd expect.

00:44:21.880 What I expect

00:44:22.900 is that Trump

00:44:23.660 would be directionally correct,

00:44:26.960 but exaggerate.

00:44:29.560 So,

00:44:30.380 that's different,

00:44:31.400 I think,

00:44:32.060 than what we see

00:44:32.720 from Democrats.

00:44:33.720 Democrats will literally

00:44:34.680 just make up a hoax

00:44:35.900 that just came out of nowhere.

00:44:37.740 It's not directionally correct,

00:44:39.060 it's just made up.

00:44:40.960 Whereas Trump

00:44:41.960 has a long history

00:44:44.020 of exaggeration.

00:44:46.080 So,

00:44:46.540 let's see if all the things

00:44:47.600 that they fact-check him on

00:44:48.980 would fit into the category

00:44:51.140 of,

00:44:51.560 well,

00:44:51.720 he's exaggerating,

00:44:52.660 but,

00:44:53.060 you know,

00:44:53.280 you can see the point.

00:44:55.300 All right.

00:44:55.860 So,

00:44:56.300 the first one is,

00:44:58.480 he said in Pennsylvania

00:45:00.420 to the Pennsylvanians,

00:45:02.260 fracking is your biggest business

00:45:04.140 and you get a big majority

00:45:05.480 of your income

00:45:06.100 from fracking.

00:45:07.760 Is that true?

00:45:08.760 Not very true.

00:45:13.020 Apparently,

00:45:13.660 it's actually

00:45:14.060 a very small percentage

00:45:15.120 of their total income.

00:45:17.820 And it represents less,

00:45:19.460 and he said you have

00:45:20.260 half a million jobs

00:45:21.900 from fracking

00:45:23.060 in Pennsylvania.

00:45:24.440 The real number

00:45:25.080 is closer to 22,000,

00:45:27.040 less than 1%

00:45:28.780 of the state's

00:45:29.480 overall employment.

00:45:32.220 Now,

00:45:33.580 so,

00:45:35.520 is that an exaggeration

00:45:36.860 or is that just

00:45:39.360 a lie?

00:45:41.320 Well,

00:45:41.840 I would say

00:45:42.300 it's an exaggeration

00:45:43.320 and it's directionally correct.

00:45:46.220 If you were Pennsylvania

00:45:47.480 and you knew

00:45:49.700 that you could

00:45:50.480 prove this thing

00:45:51.440 and your state's

00:45:52.180 overall employment

00:45:53.040 would improve

00:45:53.660 by just 1%,

00:45:55.020 wouldn't that be

00:45:56.380 a great idea?

00:45:58.260 There's no state

00:46:00.020 that won't take

00:46:01.120 1% extra employment.

00:46:03.340 1% extra employment

00:46:04.700 is a really big deal

00:46:05.580 if you ask me,

00:46:07.280 that's a pretty big deal.

00:46:08.820 So,

00:46:10.260 yes,

00:46:10.780 fracking would be

00:46:11.580 good for them.

00:46:12.460 They would make

00:46:12.960 more money,

00:46:13.680 but it's not

00:46:14.380 their biggest business

00:46:15.320 and it's fewer people,

00:46:17.680 but it absolutely

00:46:19.500 makes a difference

00:46:20.380 to the state.

00:46:21.280 Yeah,

00:46:21.480 it's not nothing.

00:46:23.000 So,

00:46:23.440 exaggeration.

00:46:27.360 Trump said

00:46:28.180 that under Biden,

00:46:29.140 20 million people

00:46:30.080 have poured

00:46:30.600 into our country

00:46:31.420 being,

00:46:32.300 you know,

00:46:32.600 undocumented

00:46:33.240 illegal types

00:46:34.200 according to him.

00:46:36.140 What do you think

00:46:36.820 is the real number?

00:46:37.580 By the way,

00:46:37.940 I've seen Trump say

00:46:39.020 it might be as high

00:46:39.780 as 30 million.

00:46:40.720 We can't tell.

00:46:41.940 But let's say

00:46:42.580 he's 20 million.

00:46:44.480 Well,

00:46:45.040 the fact check

00:46:45.680 says this,

00:46:46.880 that Biden

00:46:48.700 led in

00:46:50.020 3.4 million people

00:46:51.820 who were,

00:46:55.000 at least they were

00:46:57.300 brought in

00:46:57.760 for asylum purposes

00:46:59.260 in the heavy hearing.

00:47:00.700 So,

00:47:01.240 there's 3.4 million

00:47:02.360 that came in

00:47:03.060 through what you

00:47:04.860 could call

00:47:05.340 a legal process,

00:47:06.860 but they're not

00:47:07.520 legal citizens.

00:47:09.260 It's just that

00:47:09.880 they met somebody

00:47:11.260 at the gate,

00:47:12.660 somebody took down

00:47:13.740 their name

00:47:14.220 and said,

00:47:14.660 you've got to appear

00:47:15.240 at a hearing

00:47:15.760 someday in the future.

00:47:17.340 So,

00:47:17.840 3.4 million

00:47:19.000 of those.

00:47:21.140 And then

00:47:21.860 other numbers

00:47:22.580 we have

00:47:23.260 are how many

00:47:24.300 people were

00:47:25.220 stopped

00:47:26.300 and then

00:47:27.180 how many

00:47:27.560 gotaways

00:47:28.060 we have.

00:47:29.380 So,

00:47:29.720 there were around

00:47:30.260 10 million times

00:47:31.520 that immigrants

00:47:33.260 were encountered.

00:47:34.900 10 million times.

00:47:38.180 And then

00:47:38.940 there's the

00:47:39.400 gotaways.

00:47:42.120 Maybe,

00:47:42.940 you know,

00:47:43.240 10 or 11

00:47:43.960 million or something.

00:47:46.880 What?

00:47:47.480 No.

00:47:48.200 So,

00:47:48.800 but,

00:47:49.940 as PolitiFact

00:47:51.300 correctly says,

00:47:53.000 there are some

00:47:53.560 people who get

00:47:54.360 caught

00:47:55.220 multiple times.

00:47:57.000 So,

00:47:57.200 sometimes you get

00:47:58.060 caught,

00:47:58.480 sent back,

00:47:59.240 and you just

00:47:59.680 try again,

00:48:00.180 you get caught.

00:48:01.200 So,

00:48:01.860 of the 10 million

00:48:02.760 encounters,

00:48:04.160 it might be

00:48:05.460 far fewer

00:48:06.520 people,

00:48:08.140 let's say

00:48:08.560 20% less.

00:48:09.980 You know,

00:48:10.120 maybe 20%

00:48:11.020 of the people

00:48:11.420 just tried again

00:48:12.180 and got caught

00:48:12.680 again.

00:48:14.360 Do you see

00:48:14.920 what's missing

00:48:15.640 in this data?

00:48:17.460 So,

00:48:17.640 remember,

00:48:17.900 this is a fact

00:48:18.700 check on

00:48:20.160 whether 20

00:48:20.800 million people

00:48:21.380 came in.

00:48:23.340 There's no

00:48:23.980 check.

00:48:25.360 They simply,

00:48:26.300 mentioned the

00:48:27.180 numbers that

00:48:28.180 we can

00:48:28.620 know,

00:48:29.720 and if

00:48:30.080 the only

00:48:30.700 thing you

00:48:31.020 look at

00:48:31.440 are the

00:48:31.740 numbers that

00:48:32.240 we can

00:48:32.620 know,

00:48:33.760 because that's

00:48:34.260 what's

00:48:34.480 tracked,

00:48:35.780 then it's

00:48:36.180 not 20

00:48:36.640 million.

00:48:37.920 But Trump

00:48:38.620 is not

00:48:39.060 making the

00:48:39.580 claim that

00:48:41.060 we can

00:48:41.440 track everybody

00:48:42.220 and that it's

00:48:42.860 20 million.

00:48:43.800 He's making a

00:48:44.540 claim that we

00:48:45.080 can't track

00:48:45.700 how many

00:48:46.160 people got

00:48:46.620 in.

00:48:47.500 And if you

00:48:47.900 don't know

00:48:48.300 how many

00:48:48.620 people got

00:48:49.120 in,

00:48:49.560 you can't

00:48:50.320 tell by the

00:48:50.780 number you

00:48:51.120 encountered,

00:48:51.620 and you

00:48:53.180 can't really

00:48:53.840 tell the

00:48:54.240 gotaways,

00:48:54.880 can you?

00:48:55.860 Can you

00:48:56.440 really tell

00:48:56.840 how many

00:48:57.120 got away?

00:48:58.980 I feel like

00:48:59.840 we can't

00:49:00.320 tell how

00:49:00.700 many came

00:49:01.080 through a

00:49:01.400 tunnel,

00:49:02.180 how many

00:49:02.720 came through

00:49:03.140 a passage

00:49:03.640 that nobody

00:49:04.660 was guarding

00:49:05.180 and no

00:49:05.660 drone had a

00:49:06.260 video of

00:49:06.780 it.

00:49:08.300 So,

00:49:09.060 it's entirely

00:49:11.220 possible that

00:49:12.020 Trump is

00:49:12.540 exaggerating.

00:49:14.500 It's not

00:49:15.220 our imagination

00:49:16.800 the cities

00:49:17.640 are being

00:49:18.040 impacted and

00:49:19.220 that we're

00:49:19.800 spending

00:49:20.180 billions,

00:49:21.420 hundreds of

00:49:21.820 billions nationwide

00:49:23.280 to accommodate

00:49:24.140 them.

00:49:24.820 So,

00:49:25.060 I would say

00:49:25.520 he's

00:49:26.660 directionally

00:49:27.220 correct.

00:49:28.220 Directionally

00:49:28.740 correct.

00:49:33.040 Let's see.

00:49:34.420 He also

00:49:34.800 said Harris

00:49:35.460 was the

00:49:35.860 first to

00:49:36.300 leave the

00:49:36.820 2020

00:49:37.440 Democratic

00:49:38.620 race,

00:49:39.520 the primary.

00:49:40.980 I didn't

00:49:41.720 remember this,

00:49:42.840 but apparently

00:49:43.340 there were

00:49:43.780 10 candidates

00:49:44.820 who left

00:49:46.640 before her

00:49:47.380 because

00:49:48.440 apparently

00:49:48.800 there was

00:49:49.180 just a

00:49:49.500 whole bunch

00:49:49.900 of nobodies

00:49:50.500 in the

00:49:50.820 race.

00:49:52.020 So,

00:49:52.260 when Trump

00:49:52.600 says she

00:49:53.180 was the

00:49:53.500 first one

00:49:53.900 to leave,

00:49:54.520 it was

00:49:54.860 sort of

00:49:55.260 the first

00:49:56.580 one of

00:49:57.420 the real

00:49:58.300 group of

00:49:58.820 people who

00:49:59.280 might have

00:49:59.580 become

00:50:00.020 president.

00:50:01.400 So,

00:50:02.100 is that

00:50:02.720 a lie?

00:50:04.220 Well,

00:50:05.020 it's not

00:50:05.460 technically

00:50:05.920 correct,

00:50:06.520 but is it

00:50:07.000 directionally

00:50:07.780 correct that

00:50:09.020 of the

00:50:09.620 final handful

00:50:11.400 of people

00:50:11.980 that were

00:50:13.140 ever seriously

00:50:14.020 considered for

00:50:14.800 being president.

00:50:15.540 The others

00:50:15.840 were never

00:50:16.200 really serious,

00:50:17.300 at least in

00:50:17.800 the minds

00:50:18.100 of the

00:50:18.320 public.

00:50:20.200 But she

00:50:20.780 was the

00:50:21.080 first of

00:50:21.500 that final

00:50:22.020 batch.

00:50:23.720 So,

00:50:24.440 not technically

00:50:25.280 correct,

00:50:26.000 but again,

00:50:27.460 directionally

00:50:28.260 correct.

00:50:29.220 She was

00:50:29.540 not the

00:50:30.740 Democrats'

00:50:31.320 first choice,

00:50:31.900 second choice,

00:50:32.560 third voice,

00:50:33.340 fourth,

00:50:33.740 fifth.

00:50:34.520 She just

00:50:34.900 wasn't,

00:50:35.260 she was not

00:50:35.980 their fifth

00:50:36.340 choice.

00:50:40.060 Trump

00:50:40.540 says,

00:50:41.020 I call

00:50:41.280 her

00:50:41.400 Comrade

00:50:41.900 Kamala,

00:50:42.920 because that's

00:50:43.420 what her

00:50:43.740 ideology is,

00:50:44.660 her father

00:50:45.060 is a

00:50:45.360 Marxist.

00:50:46.200 So they

00:50:46.560 checked

00:50:46.860 whether her

00:50:47.680 father is

00:50:48.180 a

00:50:48.300 Marxist.

00:50:49.580 And said,

00:50:50.580 first it

00:50:52.440 said that he

00:50:52.940 was an

00:50:53.460 economics

00:50:53.900 professor at

00:50:54.600 Stanford.

00:50:55.600 I'd heard he

00:50:56.400 was an

00:50:56.700 economics

00:50:57.080 professor at

00:50:57.740 Berkeley,

00:50:58.380 so I have

00:50:58.720 a question

00:50:59.140 on the

00:50:59.520 Berkeley

00:50:59.800 versus

00:51:00.100 Stanford

00:51:00.480 thing,

00:51:01.500 but don't

00:51:02.700 know that.

00:51:04.620 But they

00:51:05.280 do say

00:51:05.860 that in

00:51:07.340 July,

00:51:07.800 the Economist

00:51:08.420 magazine wrote

00:51:09.340 that the

00:51:09.760 father's

00:51:10.200 work,

00:51:10.760 quote,

00:51:11.540 is more

00:51:12.180 unashamedly

00:51:13.180 Marxist than

00:51:14.180 anything in

00:51:14.900 modern American

00:51:15.640 politics.

00:51:17.360 So to

00:51:18.020 their credit,

00:51:19.220 PolitiFact

00:51:19.900 called it

00:51:21.580 false that

00:51:22.880 the father's

00:51:23.460 a Marxist.

00:51:24.880 So they

00:51:25.520 called it

00:51:25.860 false that

00:51:26.480 he's a

00:51:26.760 Marxist,

00:51:27.300 but they

00:51:27.640 did put

00:51:28.880 in the

00:51:29.140 opinion from

00:51:29.700 the Economist

00:51:30.440 magazine,

00:51:31.260 and you'd

00:51:31.760 think the

00:51:32.120 Economist

00:51:32.760 magazine would

00:51:33.940 have a good

00:51:34.380 idea who's a

00:51:35.060 Marxist and

00:51:35.660 who isn't,

00:51:36.720 because it's

00:51:37.440 the Economist.

00:51:38.700 That's what

00:51:39.240 economists do.

00:51:40.680 So the

00:51:41.040 Economist

00:51:41.680 magazine says

00:51:43.820 it's more

00:51:44.240 unashamedly

00:51:45.020 Marxist than

00:51:45.660 anything in

00:51:46.340 modern American

00:51:47.060 politics.

00:51:48.020 So is he

00:51:49.140 a Marxist?

00:51:50.760 Well,

00:51:51.520 probably he's

00:51:53.020 like Kamala

00:51:53.540 Harris in the

00:51:54.140 sense that he

00:51:54.600 still likes

00:51:55.120 some capitalism.

00:51:58.980 But is

00:51:59.800 Trump wrong

00:52:00.580 that he's a

00:52:01.720 Marxist or is

00:52:02.460 it an

00:52:02.700 exaggeration?

00:52:04.000 I would

00:52:04.760 say it's

00:52:05.480 probably a

00:52:07.020 mild exaggeration

00:52:08.340 and that he

00:52:10.600 simply has a

00:52:11.260 bunch of

00:52:11.560 Marxist ideas

00:52:12.480 on top of

00:52:13.400 capitalism,

00:52:14.320 but probably

00:52:15.260 isn't 100%

00:52:16.380 against capitalism,

00:52:17.700 like Kamala

00:52:18.880 Harris.

00:52:19.940 So is

00:52:20.460 Trump

00:52:20.760 directionally

00:52:21.520 correct?

00:52:22.500 Yes,

00:52:23.720 directionally

00:52:24.360 correct.

00:52:26.700 Here's another

00:52:27.460 one that's

00:52:27.820 funny.

00:52:29.080 They went to

00:52:29.940 Biden and

00:52:30.380 they said,

00:52:30.840 we want you

00:52:31.260 out.

00:52:31.660 This is what

00:52:32.140 Trump said.

00:52:32.860 You're not

00:52:33.320 going to win.

00:52:33.980 And it was

00:52:34.280 really a coup

00:52:34.980 when you think

00:52:35.560 about it.

00:52:35.980 they fact

00:52:37.500 checked whether

00:52:38.260 it was a

00:52:38.800 coup.

00:52:39.920 I'm not

00:52:40.580 making this

00:52:41.120 up.

00:52:42.440 He called

00:52:42.840 it a coup

00:52:43.460 and they

00:52:44.520 fact checked

00:52:45.300 whether it

00:52:46.460 was a

00:52:46.780 coup.

00:52:47.640 Here's the

00:52:48.300 fact check.

00:52:49.340 This is

00:52:49.720 misleading.

00:52:51.040 Coup d'etat

00:52:51.580 is a French

00:52:52.360 term that

00:52:53.180 means the

00:52:53.640 overthrow of

00:52:54.300 a government,

00:52:55.260 usually by

00:52:55.860 illegal means

00:52:56.740 and with

00:52:57.080 the threat

00:52:57.440 of violence.

00:52:59.460 Okay.

00:53:01.440 Okay, we

00:53:02.100 all knew

00:53:02.520 that.

00:53:03.060 When he

00:53:04.700 said it

00:53:04.980 was a

00:53:05.380 coup, I

00:53:06.720 think we

00:53:07.120 all understood

00:53:07.740 what he

00:53:08.200 meant.

00:53:09.420 Was he

00:53:10.100 directionally

00:53:10.780 correct when

00:53:11.400 he said it

00:53:11.840 was a

00:53:12.160 coup?

00:53:12.880 Yes.

00:53:14.200 Was it

00:53:14.660 technically a

00:53:15.580 coup matching

00:53:16.520 the technical

00:53:18.560 definition?

00:53:19.600 No.

00:53:20.680 Does anybody

00:53:21.200 care?

00:53:21.840 No.

00:53:22.640 Everybody

00:53:22.960 knows what

00:53:23.420 it was.

00:53:24.640 He just

00:53:25.020 uses colorful

00:53:25.680 language.

00:53:26.260 Then Trump

00:53:29.560 said, I

00:53:30.080 had interest

00:53:30.580 rates at

00:53:30.960 2%, now

00:53:31.760 they're

00:53:31.900 10%.

00:53:32.640 This is

00:53:34.460 so Trumpian.

00:53:36.840 It's so

00:53:37.520 Trumpian.

00:53:38.080 Do you

00:53:38.240 think that

00:53:38.600 people would

00:53:38.980 get used

00:53:39.360 to it?

00:53:40.060 When he

00:53:40.560 says he

00:53:41.140 had it

00:53:41.480 down at

00:53:41.900 2%, it

00:53:42.840 was really

00:53:43.300 2.7%.

00:53:44.720 So he

00:53:45.700 exaggerated

00:53:46.260 how low

00:53:46.720 it was.

00:53:47.500 But also

00:53:48.080 it was low

00:53:48.700 because it

00:53:49.140 was the

00:53:49.360 pandemic.

00:53:50.660 So the

00:53:51.120 pandemic

00:53:51.520 lowered

00:53:51.980 things.

00:53:52.620 But is

00:53:53.960 it directionally

00:53:54.780 true?

00:53:56.260 Is 2%

00:53:57.020 directionally

00:53:57.980 true?

00:53:58.960 Yeah.

00:53:59.800 Yeah.

00:54:00.940 Ish.

00:54:02.380 This is the

00:54:02.760 right direction.

00:54:04.240 I mean, in

00:54:04.980 the sense

00:54:05.380 that he's

00:54:05.640 comparing it

00:54:06.200 to the

00:54:06.900 much higher

00:54:07.300 rates now.

00:54:08.180 He says

00:54:08.580 now they're

00:54:08.980 10%.

00:54:09.720 Are interest

00:54:11.520 rates 10%?

00:54:13.220 No.

00:54:14.600 No, they're

00:54:15.240 like 7%,

00:54:16.420 if you want

00:54:16.900 to get a

00:54:17.180 mortgage.

00:54:18.180 But is

00:54:19.260 he directionally

00:54:20.080 correct?

00:54:21.620 He said

00:54:22.320 from 2%

00:54:22.720 to 10%.

00:54:23.300 It might

00:54:23.760 have been

00:54:24.000 2.7%

00:54:24.840 with the

00:54:25.860 pandemic

00:54:26.300 to 7-ish.

00:54:29.700 Is he

00:54:30.460 lying or

00:54:31.660 directionally

00:54:32.240 correct?

00:54:33.400 Well, he's

00:54:33.820 not technically

00:54:34.580 correct, but

00:54:36.060 directionally,

00:54:37.180 of course.

00:54:38.620 Interest rates

00:54:39.340 are much

00:54:39.780 higher, and

00:54:40.520 that matters

00:54:41.060 to us.

00:54:41.620 And so he

00:54:42.100 said it.

00:54:43.320 Directionally

00:54:43.840 correct.

00:54:44.900 When I

00:54:45.560 found out my

00:54:46.180 friend got a

00:54:46.800 great deal on

00:54:47.600 a wool coat

00:54:48.160 from Winners,

00:54:48.960 I started

00:54:49.760 wondering,

00:54:50.660 is every

00:54:51.500 fabulous item

00:54:52.280 I see from

00:54:52.960 Winners?

00:54:53.580 Like that

00:54:54.300 woman over

00:54:54.780 there with

00:54:55.240 the designer

00:54:55.680 jeans.

00:54:56.520 Are those

00:54:57.100 from Winners?

00:54:58.020 Ooh, or

00:54:58.800 those beautiful

00:54:59.320 gold earrings?

00:55:00.500 Did she

00:55:00.760 pay full

00:55:01.080 price?

00:55:01.840 Or that

00:55:02.100 leather tote?

00:55:02.840 Or that

00:55:03.100 cashmere

00:55:03.460 sweater?

00:55:04.080 Or those

00:55:04.380 knee-high

00:55:04.700 boots?

00:55:05.520 That dress?

00:55:06.300 That jacket?

00:55:06.980 Those shoes?

00:55:08.000 Is anyone

00:55:08.800 paying full

00:55:09.420 price for

00:55:09.980 anything?

00:55:10.980 Stop

00:55:11.440 wondering.

00:55:12.220 Start

00:55:12.480 winning.

00:55:13.160 Winners.

00:55:13.760 Find

00:55:13.980 fabulous for

00:55:14.780 less.

00:55:15.140 He said,

00:55:17.780 I shut

00:55:18.040 down the

00:55:18.360 biggest

00:55:18.600 pipeline in

00:55:19.260 the world,

00:55:19.900 talking about

00:55:20.400 Nord Stream,

00:55:21.600 that Russia

00:55:22.240 was building.

00:55:22.880 It was

00:55:23.060 100%

00:55:23.620 shut down.

00:55:25.660 Political

00:55:25.980 facts says

00:55:26.600 that's mostly

00:55:27.160 false.

00:55:28.220 It says

00:55:28.480 more than

00:55:29.000 he did,

00:55:30.000 he did

00:55:31.100 put sanctions

00:55:31.820 on it,

00:55:33.580 but the

00:55:34.300 people building

00:55:36.820 it worked

00:55:37.240 around the

00:55:37.740 sanctions.

00:55:39.080 So he did

00:55:39.720 have sanctions

00:55:40.420 that if the

00:55:41.140 sanctions held,

00:55:42.100 would have

00:55:42.600 100%

00:55:43.140 stopped it.

00:55:44.400 But the

00:55:45.040 reality is

00:55:45.640 the sanctions

00:55:46.240 weren't

00:55:46.540 holding.

00:55:48.120 So is

00:55:48.760 that in

00:55:51.340 the right

00:55:51.600 direction?

00:55:53.020 Well,

00:55:54.000 it's the

00:55:55.080 right direction

00:55:55.780 in terms of

00:55:57.200 showing his

00:55:57.820 policy was

00:55:58.820 correct,

00:55:59.840 meaning that

00:56:00.880 he thought

00:56:01.560 stopping that

00:56:02.300 pipeline was

00:56:03.040 important for

00:56:03.820 America.

00:56:05.720 And so he

00:56:06.220 did things

00:56:06.900 which were

00:56:08.020 real and

00:56:09.980 certainly slowed

00:56:10.780 it down,

00:56:11.400 but maybe

00:56:12.220 wasn't enough.

00:56:14.140 So I'm

00:56:15.080 going to say

00:56:15.400 that one's

00:56:15.840 the closest

00:56:16.400 one to a

00:56:17.460 failed fact

00:56:18.240 check.

00:56:19.820 But even

00:56:20.540 then,

00:56:21.620 directionally,

00:56:22.660 it shows that

00:56:23.240 he was being

00:56:24.180 a hard-nosed

00:56:24.760 about the

00:56:25.180 pipeline,

00:56:26.000 and if you

00:56:26.860 want somebody

00:56:27.360 who's going

00:56:27.680 to be hard-nosed

00:56:28.320 about the

00:56:28.760 pipeline,

00:56:29.340 or that sort

00:56:30.160 of thing

00:56:30.560 in the

00:56:30.940 future,

00:56:32.700 directionally,

00:56:34.480 he leans

00:56:35.320 in that

00:56:35.600 direction.

00:56:37.240 So it's a

00:56:38.240 little bit

00:56:38.640 directionally

00:56:39.220 true,

00:56:39.940 but I'm

00:56:40.460 going to say

00:56:40.820 that one's

00:56:41.420 closer to a

00:56:42.240 problem with

00:56:43.300 the fact

00:56:43.600 check.

00:56:45.500 All right,

00:56:46.280 so if those

00:56:47.480 were the worst

00:56:48.120 things that they

00:56:48.800 had on

00:56:49.440 Trump,

00:56:50.360 are you

00:56:51.040 afraid?

00:56:53.060 Do you

00:56:54.120 fear the

00:56:55.260 second Trump

00:56:56.060 administration

00:56:57.280 because the

00:56:58.280 monster that's

00:56:59.100 coming in

00:56:59.640 and all these

00:57:00.680 terrible lies

00:57:01.620 he's telling?

00:57:02.140 every one of

00:57:04.340 them are in

00:57:05.360 the direction

00:57:05.900 of something

00:57:06.420 I really

00:57:06.960 want,

00:57:07.480 lower interest

00:57:08.240 rates,

00:57:09.180 fewer illegal

00:57:11.500 people coming

00:57:12.180 in.

00:57:13.120 I want all

00:57:13.820 of the

00:57:14.080 things he's

00:57:14.980 influencing.

00:57:16.940 Anyway,

00:57:18.100 the Dallas

00:57:18.720 police have

00:57:19.520 now confirmed

00:57:20.200 that there's

00:57:21.080 a Venezuelan

00:57:21.960 gang problem

00:57:22.780 in at least

00:57:24.000 one Texas

00:57:24.620 city,

00:57:25.080 probably more,

00:57:25.760 according to

00:57:26.180 the Daily

00:57:26.580 Mail.

00:57:27.640 I don't

00:57:28.040 know.

00:57:28.260 I'm just

00:57:29.660 having a hard

00:57:30.300 time believing

00:57:30.980 any of the

00:57:31.680 news about

00:57:32.520 the Venezuelan

00:57:33.460 gangs.

00:57:34.500 I definitely

00:57:35.360 don't believe

00:57:35.940 there's no

00:57:36.440 problem at

00:57:37.040 all,

00:57:38.040 which some

00:57:38.520 people are

00:57:38.900 trying to

00:57:39.240 sell,

00:57:39.880 and I

00:57:40.360 definitely

00:57:40.700 don't believe

00:57:41.380 that they've

00:57:43.120 taken too

00:57:44.020 much territory.

00:57:45.640 They may

00:57:46.240 have too

00:57:48.460 much control

00:57:49.100 over some

00:57:49.640 buildings and

00:57:51.160 some maybe

00:57:52.340 streets,

00:57:54.600 and that's a

00:57:55.220 big problem.

00:57:55.980 So again,

00:57:56.900 directionally,

00:57:57.680 the news is

00:58:00.160 accurate that

00:58:00.860 we've got

00:58:01.200 some gang

00:58:01.660 problems,

00:58:02.440 but one of

00:58:03.260 the things

00:58:03.540 that Trump

00:58:04.460 got fact

00:58:05.220 checked on

00:58:05.800 was that

00:58:06.960 they're

00:58:07.340 emptying

00:58:08.140 their jails.

00:58:11.240 Now,

00:58:11.680 the fact

00:58:12.020 checkers say

00:58:12.540 there's no

00:58:13.020 evidence that

00:58:15.060 Venezuela has

00:58:16.280 let anybody

00:58:17.180 out of jail

00:58:17.780 for the

00:58:18.740 purpose of

00:58:19.240 coming to

00:58:19.640 America.

00:58:21.460 Has anybody

00:58:22.340 ever seen

00:58:22.820 evidence of

00:58:23.460 that?

00:58:24.300 Because I

00:58:24.740 haven't.

00:58:25.880 Have you

00:58:26.460 seen a

00:58:27.660 report about

00:58:29.000 the vacancies

00:58:29.920 in Venezuelan

00:58:30.860 jails?

00:58:32.760 Have we

00:58:33.720 interviewed

00:58:34.120 specific people

00:58:35.260 who say,

00:58:35.680 oh yeah,

00:58:35.900 I was in

00:58:36.240 jail,

00:58:36.480 they let

00:58:36.760 me out,

00:58:37.200 because they

00:58:37.480 said,

00:58:38.080 as long as

00:58:38.600 you go to

00:58:38.900 the United

00:58:39.280 States,

00:58:39.680 you can get

00:58:40.120 out of jail?

00:58:40.580 I haven't

00:58:43.440 seen it,

00:58:44.380 so if you've

00:58:45.600 seen it,

00:58:46.400 could you

00:58:46.960 send it to

00:58:47.580 me?

00:58:49.800 I'll give

00:58:50.580 you my

00:58:50.880 opinion of

00:58:51.380 whether it

00:58:51.760 looks

00:58:51.960 credible.

00:58:55.520 Anyway,

00:58:56.160 Elon Musk

00:58:56.720 got a win

00:58:57.320 for X.

00:59:00.660 California

00:59:01.180 had this

00:59:01.800 content

00:59:02.420 moderation

00:59:03.020 law.

00:59:04.240 They got

00:59:04.540 challenged by

00:59:05.280 X and

00:59:05.960 successfully so

00:59:07.040 far.

00:59:09.000 It was

00:59:09.760 that X

00:59:11.840 and other

00:59:12.280 social media

00:59:12.860 would have

00:59:13.740 to detail

00:59:14.940 their

00:59:15.480 definitions

00:59:17.520 of what

00:59:18.840 was hate

00:59:19.600 speech and

00:59:20.440 basically what

00:59:22.380 would not be

00:59:23.000 allowed on the

00:59:23.540 platform.

00:59:26.200 Let's see,

00:59:26.800 they would want

00:59:27.160 to know,

00:59:27.740 blah,

00:59:27.880 blah,

00:59:28.020 blah,

00:59:28.220 blah.

00:59:28.320 X said

00:59:32.100 that they

00:59:32.860 shouldn't

00:59:33.160 have to

00:59:33.460 do that

00:59:34.020 and you

00:59:37.380 can see

00:59:37.800 why.

00:59:38.960 Because the

00:59:39.440 minute they

00:59:39.960 say this

00:59:40.640 is our

00:59:41.000 standard,

00:59:42.520 somebody else

00:59:43.260 is going to

00:59:43.620 say,

00:59:43.900 well,

00:59:44.220 I just

00:59:44.760 found

00:59:45.060 something

00:59:45.440 that's

00:59:45.740 still on

00:59:46.080 the

00:59:46.180 platform

00:59:46.680 and you

00:59:47.140 violated

00:59:47.620 your own

00:59:48.080 standard.

00:59:49.520 So it's

00:59:50.200 a trap

00:59:50.700 because so

00:59:52.380 much of

00:59:52.840 the speech

00:59:53.340 is subjective

00:59:54.000 that the

00:59:55.040 moment you

00:59:55.460 say I

00:59:55.860 have this

00:59:56.180 objective

00:59:56.660 standard

00:59:57.160 and this

00:59:58.620 is what

00:59:58.940 we're

00:59:59.100 using.

00:59:59.860 Then it

01:00:00.200 gives

01:00:00.460 everybody

01:00:00.900 a million

01:00:01.380 pieces of

01:00:02.220 artillery to

01:00:03.260 say,

01:00:03.580 well,

01:00:03.720 what about

01:00:04.060 this one?

01:00:04.620 Well,

01:00:04.840 what about

01:00:05.180 this one?

01:00:05.620 In my

01:00:05.980 opinion,

01:00:06.380 this is

01:00:06.720 beyond your

01:00:07.500 standard.

01:00:07.920 Why didn't

01:00:08.160 you do

01:00:08.440 something

01:00:08.700 about this

01:00:09.060 one?

01:00:09.920 So

01:00:10.240 challenging

01:00:10.940 in a

01:00:11.260 court is

01:00:11.740 a smart

01:00:12.100 thing to

01:00:12.500 do and

01:00:13.000 at least

01:00:13.560 so far

01:00:15.120 it looks

01:00:15.840 like it's

01:00:16.180 working.

01:00:17.940 Politico

01:00:18.460 is saying

01:00:18.980 that if

01:00:19.380 Kamala Harris

01:00:19.980 becomes

01:00:20.460 president,

01:00:21.760 she'll get

01:00:22.300 rid of

01:00:22.660 Garland as

01:00:23.980 attorney general

01:00:24.760 because he's

01:00:25.280 too soft

01:00:26.060 and that

01:00:27.080 she would

01:00:27.380 get somebody

01:00:27.860 who is

01:00:28.180 more

01:00:28.420 aggressive

01:00:28.900 going after

01:00:29.500 the

01:00:29.720 January

01:00:30.040 Sixers

01:00:30.600 and

01:00:31.600 hunting

01:00:32.120 political

01:00:34.020 opponents.

01:00:35.800 Now,

01:00:36.060 they don't

01:00:36.300 say that

01:00:36.640 last part,

01:00:37.240 but that's

01:00:38.060 pretty obvious.

01:00:40.900 There's

01:00:41.500 a new

01:00:41.720 hoax,

01:00:42.540 according to

01:00:43.520 the National

01:00:44.020 Pulse,

01:00:44.640 William Upton.

01:00:45.240 so the

01:00:46.960 new

01:00:47.140 hoax is

01:00:47.640 that Trump

01:00:48.140 once took

01:00:48.740 cash from

01:00:49.300 Egypt.

01:00:53.020 Have you

01:00:53.640 ever seen

01:00:54.100 anything more

01:00:55.060 consistent?

01:00:57.060 By the way,

01:00:57.720 this hoax is

01:00:58.340 from 2016

01:00:59.180 and it was

01:00:59.740 already

01:01:00.000 investigated

01:01:00.680 and debunked,

01:01:01.900 no evidence

01:01:02.540 whatsoever.

01:01:04.060 Can you

01:01:04.440 imagine

01:01:04.840 that when

01:01:07.620 Tucker Carlson

01:01:08.460 said years

01:01:09.080 ago when he

01:01:09.640 started saying

01:01:10.200 this,

01:01:11.060 that the

01:01:11.440 Democrats

01:01:12.040 accuse you

01:01:13.360 of whatever

01:01:13.800 they're doing,

01:01:14.720 they literally

01:01:15.660 have a

01:01:16.180 senator,

01:01:17.180 like one

01:01:17.620 of their

01:01:17.860 major

01:01:18.340 senators,

01:01:19.120 who took

01:01:19.500 $10 million

01:01:20.540 or something

01:01:21.440 from Egypt,

01:01:23.400 or whatever

01:01:24.040 the number

01:01:24.420 was,

01:01:24.680 took money

01:01:25.060 from Egypt,

01:01:26.040 and now

01:01:26.920 they just

01:01:27.280 make up a

01:01:27.920 story that

01:01:28.400 Trump is

01:01:29.040 taking money

01:01:29.520 from Egypt.

01:01:31.420 I mean,

01:01:31.740 it's so

01:01:32.200 consistent,

01:01:33.020 whatever they're

01:01:33.840 doing,

01:01:34.880 the specific

01:01:35.760 thing they're

01:01:36.280 doing.

01:01:37.380 The thing

01:01:37.860 is,

01:01:38.160 they're not

01:01:39.420 even accusing

01:01:40.040 him of taking

01:01:40.620 it from a

01:01:41.180 different Middle

01:01:41.920 Eastern country.

01:01:43.360 It's like,

01:01:44.120 it both has

01:01:44.800 to be Egypt?

01:01:46.120 I mean,

01:01:46.420 it's so on

01:01:46.880 the nose.

01:01:48.340 Oh,

01:01:48.840 you guys do

01:01:49.640 whatever we

01:01:50.400 do.

01:01:51.940 Anyway.

01:01:54.180 Well,

01:01:54.860 the war in

01:01:56.020 Ukraine is

01:01:56.640 taking an

01:01:57.160 interesting

01:01:57.560 turn.

01:02:00.260 I watched

01:02:01.140 a video that

01:02:01.980 I'm pretty

01:02:02.600 sure is real,

01:02:03.960 looked real

01:02:04.500 to me,

01:02:04.920 nobody was

01:02:05.380 calling it

01:02:05.820 out,

01:02:06.660 of a

01:02:07.420 Ukrainian

01:02:07.980 drone that

01:02:10.060 has a

01:02:10.740 flamethrower

01:02:11.580 attached that

01:02:13.300 it's not

01:02:13.620 like any

01:02:14.080 flamethrower

01:02:14.620 I've ever

01:02:15.160 seen before.

01:02:16.640 So,

01:02:16.960 when you

01:02:17.320 think flamethrower,

01:02:18.360 you think,

01:02:18.820 oh,

01:02:19.940 so it's

01:02:20.340 going to

01:02:20.580 shoot,

01:02:21.020 what,

01:02:21.460 20 feet?

01:02:23.620 No.

01:02:25.060 And it's

01:02:25.700 going to be,

01:02:26.140 you know,

01:02:26.340 a little,

01:02:27.020 you know,

01:02:27.260 maybe four

01:02:28.860 feet wide and

01:02:29.800 it'll shoot 20

01:02:30.440 feet and,

01:02:31.240 you know,

01:02:31.360 you have to

01:02:31.700 be right there

01:02:32.240 to make it.

01:02:33.060 No,

01:02:33.600 apparently,

01:02:34.280 this is using

01:02:35.480 some serious

01:02:36.400 fire technology,

01:02:38.040 some thermite

01:02:38.880 type of stuff.

01:02:40.800 And there's

01:02:42.220 a picture of

01:02:42.780 it flying over

01:02:43.680 some positions

01:02:45.580 that Russians

01:02:46.240 were hiding

01:02:46.760 in.

01:02:47.600 And basically,

01:02:48.560 it looked like

01:02:48.960 a flamethrowing

01:02:49.780 dragon from

01:02:50.580 the sky.

01:02:52.080 The distance

01:02:52.960 it was

01:02:53.580 throwing that

01:02:54.160 flame was,

01:02:57.200 holy cow,

01:02:59.580 what is

01:03:00.440 this?

01:03:01.240 If they have

01:03:02.120 more of

01:03:02.640 those,

01:03:03.480 I don't know

01:03:04.580 how they can

01:03:05.040 lose.

01:03:05.480 my God,

01:03:07.580 it is the

01:03:08.340 scariest looking

01:03:09.120 weapon you'll

01:03:09.740 ever see in

01:03:10.220 your life.

01:03:10.920 And it was

01:03:11.580 going down

01:03:12.080 a row of

01:03:13.260 trees where

01:03:14.660 allegedly the

01:03:15.340 Russians were

01:03:16.020 hiding.

01:03:16.900 And the flame

01:03:17.440 was just

01:03:17.800 basically just

01:03:19.600 destroying the

01:03:20.840 entire row of

01:03:22.280 forest as it

01:03:23.320 went and any

01:03:24.060 people in it.

01:03:26.380 That's the

01:03:27.040 scariest thing

01:03:27.600 I've seen.

01:03:28.320 Now,

01:03:28.700 I've seen

01:03:29.140 Game of

01:03:29.540 Thrones,

01:03:30.040 so I know

01:03:30.700 that the

01:03:31.220 dragons,

01:03:32.720 you know,

01:03:33.400 when the

01:03:33.680 dragons enter

01:03:34.380 the fight,

01:03:34.880 then you

01:03:35.760 can tell

01:03:36.060 which way

01:03:36.400 the fight's

01:03:36.820 going to

01:03:37.040 go because

01:03:37.840 the dragons

01:03:38.320 never lose.

01:03:40.440 If they've

01:03:41.200 got dragons,

01:03:42.600 they got

01:03:42.920 robot dragons

01:03:43.960 flying with

01:03:46.620 flamethrower

01:03:47.340 mouths,

01:03:49.940 anything can

01:03:50.520 happen.

01:03:52.200 All right.

01:03:55.080 Netanyahu

01:03:55.560 made me laugh.

01:03:56.480 He said the

01:03:56.920 Israel will

01:03:57.420 not leave

01:03:57.880 Gaza border

01:03:59.340 corridor until

01:04:00.380 it is secure,

01:04:01.940 according to

01:04:02.840 Reuters.

01:04:03.160 So that's

01:04:05.220 the space,

01:04:06.960 little strip

01:04:08.020 of land

01:04:08.580 between Egypt

01:04:09.520 and Gaza.

01:04:10.760 Now,

01:04:11.220 the problem

01:04:11.580 is that

01:04:12.440 the Gazans

01:04:13.060 were through

01:04:15.380 tunnels and

01:04:16.280 probably tunnels

01:04:17.380 mostly.

01:04:18.100 They were

01:04:18.400 getting stuff

01:04:19.020 from outside

01:04:20.200 of Gaza,

01:04:20.780 like weapons

01:04:21.380 and things.

01:04:23.380 So Netanyahu

01:04:24.500 says Israel

01:04:25.580 won't leave

01:04:26.280 that corridor

01:04:26.820 until it is

01:04:27.800 secure.

01:04:28.200 Do you know

01:04:30.400 what that means?

01:04:30.940 it's never

01:04:33.100 going to be

01:04:33.500 secure.

01:04:35.220 They'll just

01:04:36.100 say it's

01:04:36.400 not secure.

01:04:37.420 No,

01:04:37.680 they're not

01:04:37.940 going anywhere.

01:04:39.560 Israel's not

01:04:40.200 going to give

01:04:40.900 Gaza back

01:04:41.640 to Hamas.

01:04:43.540 Anybody who

01:04:44.300 thinks that's

01:04:44.760 even within

01:04:46.180 the realm

01:04:47.200 of distant

01:04:48.000 possibility,

01:04:49.280 it's not.

01:04:50.780 They're just

01:04:51.440 going to stay

01:04:51.920 there because

01:04:52.860 it would be

01:04:53.320 crazy not

01:04:54.200 to until

01:04:55.740 all of

01:04:56.440 Hamas is

01:04:57.000 destroyed.

01:04:57.420 So I

01:04:59.840 think that's

01:05:00.200 pretty predictable.

01:05:01.500 All right,

01:05:01.940 ladies and

01:05:02.280 gentlemen,

01:05:03.300 those are my

01:05:04.940 prepared comments.

01:05:07.000 And if you

01:05:07.720 didn't know

01:05:08.160 already,

01:05:09.540 the 2025

01:05:10.540 Dilbert calendar

01:05:11.700 is available

01:05:12.920 for pre-sale.

01:05:14.480 You'd have to

01:05:15.160 find the link

01:05:15.760 to buy it

01:05:16.240 at Dilbert.com.

01:05:17.540 It's not on

01:05:18.100 Amazon and it

01:05:19.040 won't be there.

01:05:20.280 In order to

01:05:21.100 make it in

01:05:21.540 America,

01:05:22.080 100%,

01:05:22.720 which is what

01:05:23.580 it is now,

01:05:24.700 I had to

01:05:25.580 get rid of

01:05:26.100 the publisher's

01:05:26.980 cut.

01:05:27.740 And also

01:05:28.560 the Amazon

01:05:29.560 and bookstore

01:05:30.320 cut.

01:05:31.200 Because together

01:05:32.020 they take 90%

01:05:33.000 of the retail

01:05:33.500 price.

01:05:34.740 And if I

01:05:35.180 had those

01:05:35.620 cuts in

01:05:36.100 there and

01:05:37.240 also made

01:05:37.900 it in

01:05:38.160 America,

01:05:38.740 it would

01:05:39.300 be a really

01:05:39.680 expensive

01:05:40.100 calendar.

01:05:41.460 So,

01:05:42.340 but it's

01:05:42.780 still a little

01:05:43.980 high because

01:05:44.600 of shipping.

01:05:45.660 Because shipping

01:05:46.140 is crazy

01:05:46.640 these days.

01:05:47.980 So,

01:05:48.620 in order to

01:05:50.380 make it up

01:05:50.800 to you,

01:05:51.680 there's a

01:05:52.060 comic on

01:05:52.540 both sides

01:05:53.240 of each

01:05:53.580 page now.

01:05:54.240 Twice the

01:05:54.740 comics.

01:05:56.100 Yeah,

01:05:56.320 twice the

01:05:57.260 comics.

01:05:58.460 And it's

01:05:58.800 Dilber Reborn

01:06:00.020 is on the

01:06:00.540 backs of

01:06:01.040 each side.

01:06:01.640 Those are

01:06:01.920 the newer

01:06:02.240 ones that

01:06:03.360 are edgier

01:06:04.020 that you

01:06:04.540 might get

01:06:04.860 in trouble

01:06:05.200 if your

01:06:05.620 boss sees

01:06:06.300 it.

01:06:06.460 So,

01:06:06.780 be careful

01:06:07.140 about that.

01:06:08.260 You might

01:06:08.520 want to

01:06:08.740 use it in

01:06:09.080 your home

01:06:09.340 office.

01:06:10.360 Sales are

01:06:10.840 brisk.

01:06:11.260 So,

01:06:12.120 make sure

01:06:12.460 you get

01:06:12.960 yours early

01:06:13.640 so that

01:06:14.140 we don't

01:06:14.640 run out.

01:06:15.980 There is

01:06:16.360 some risk

01:06:17.120 that if

01:06:18.640 you wait

01:06:18.960 to mid

01:06:19.400 December,

01:06:20.260 we might

01:06:21.020 not be

01:06:21.360 able to

01:06:21.820 keep up

01:06:22.240 with it

01:06:22.540 before

01:06:22.800 Christmas.

01:06:23.780 So,

01:06:24.320 it is

01:06:24.600 very important

01:06:25.580 that you

01:06:26.040 order early

01:06:26.940 and it's

01:06:27.840 good for

01:06:28.220 me.

01:06:29.440 So,

01:06:29.680 if you

01:06:29.840 want to

01:06:30.040 do me

01:06:30.360 a favor

01:06:30.720 and keep

01:06:31.300 me in

01:06:31.600 business,

01:06:32.780 a pre-order

01:06:33.720 is good.

01:06:34.400 And if

01:06:34.580 you want

01:06:34.760 to lower

01:06:35.080 your

01:06:35.540 cost for

01:06:39.380 shipping,

01:06:40.560 they make

01:06:41.180 great gifts.

01:06:42.300 So,

01:06:42.480 if you get

01:06:42.720 more than

01:06:43.080 one,

01:06:43.560 your shipping

01:06:44.060 won't look

01:06:44.500 so bad.

01:06:45.620 All right,

01:06:45.940 that's all

01:06:46.240 I got for

01:06:46.700 today.

01:06:47.000 I'm going

01:06:47.180 to go talk

01:06:47.560 to the

01:06:47.800 locals people

01:06:48.440 privately

01:06:49.300 because they're

01:06:50.240 special in

01:06:51.220 so many ways.

01:06:52.240 Thanks for

01:06:52.660 joining on

01:06:53.260 YouTube and

01:06:55.040 X and Rumble.

01:06:56.000 I will see you

01:06:56.920 next time.

Real Coffee with Scott Adams - September 05, 2024

Episode 2588 CWSA 09⧸05⧸24

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