Real Coffee with Scott Adams - Episode 2769 CWSA 03⧸05⧸25

00:00:00.000 We're doing TV time now, where all the time is weird.

00:00:09.460 A little better.

00:00:14.380 Good morning, everybody, and welcome to the highlight of human civilization.

00:00:20.900 It's called Coffee with Scott Adams, and you've never had a better time.

00:00:24.200 But if you'd like to take your experience up to levels that nobody can even understand with their tiny, shiny human brains,

00:00:32.060 all you need is a cup or mug or a glass of tank or chalice, a canteen, jug or flask, a vessel of any kind.

00:00:38.900 Fill it with your favorite liquid.

00:00:40.560 I like coffee.

00:00:42.880 Join me now for the unparalleled pleasure of the dopamine end of the day, the thing that makes everything better.

00:00:47.760 It's called the simultaneous sip, and it's going to happen right now.

00:00:52.360 Yeah, exactly.

00:00:54.200 All right.

00:01:02.920 The universe has been reset.

00:01:04.700 Everything's good.

00:01:06.580 Of course, we'll talk about the president's speech.

00:01:09.120 But first, I was trying out Grok's voice mode today.

00:01:14.700 So I guess if you have the app, I think it's only on the app, the special app for Grok.

00:01:22.300 It's free, the voice mode.

00:01:24.340 So you can have conversations with it, but you can set it for what kind of voice you're getting back.

00:01:30.500 So you can set it for an assistant mode where it's just kind of friendly and helpful.

00:01:35.100 But it's got sexy mode, and it's got romantic mode, and it's got argumentative mode.

00:01:42.920 And I'm trying to figure out how to make them all work at the same time so it feels like a wife.

00:01:48.620 All right, well, I'll let that just sit there for a while.

00:01:53.980 But it looks fun.

00:01:56.000 It's worth a try.

00:01:56.640 Anyway, I don't know if it's happened yet, but Commerce Secretary Howard Lutnick, who I'm liking a lot, by the way.

00:02:04.700 Have you heard Lutnick talk?

00:02:07.740 You know there's some people that you just hear them talk and you say, are you really that smart?

00:02:13.460 You talk like a smart person.

00:02:15.820 Lutnick is one of those.

00:02:17.520 When he talks, I think, huh, I can see how you got rich.

00:02:21.280 Makes sense.

00:02:21.920 So you're pretty smart.

00:02:24.920 Anyway, he's saying that the tariffs on Mexico and Canada probably are going to be resolved, meaning that there'll be some kind of middle ground, meaning there's some kind of accommodation, meaning we'll figure out how to work with each other as soon as today.

00:02:45.600 Now, in theory, that should have been good for the stock markets, but we'll see.

00:02:49.720 There's a lot of roiling going on.

00:02:53.120 So in theory, the tariffs, which were big, 25% and everything but energy, I think, they were really just to get some kind of little extra energy for an agreement, especially about stopping the fentanyl trade.

00:03:14.660 So one could imagine if Canada and or Mexico said, wait, wait, instead of these terrible tariffs, how about we do a little bit more stopping that fentanyl?

00:03:27.180 And then that would be something you couldn't negotiate with.

00:03:29.700 So in theory, we'll have some kind of accommodation there, but, you know, it might be optimistic to say it's going to happen today.

00:03:38.120 But a lot, Nick, I think, was warning the markets to not, you know, don't incorporate this as some kind of a permanent situation.

00:03:47.860 So that was exactly the right thing to do.

00:03:50.080 He might be off on how quickly they can resolve it, but maybe not.

00:03:55.660 You know, maybe it's just one day.

00:03:57.700 It's possible.

00:03:59.780 Meanwhile, the premier of Ontario in Canada has canceled Elon Musk's Starlink.

00:04:10.060 I feel like companies keep punishing or countries keep punishing themselves.

00:04:15.860 Well, we're going to cut off our own access to really inexpensive Internet.

00:04:24.020 Take that.

00:04:25.900 All right.

00:04:26.660 Okay.

00:04:28.260 It's also funny to me that people think that it's obvious that Elon Musk has found some way to monetize being involved, disinvolved in the Trump administration.

00:04:40.280 If I can give you any business advice at all, it goes like this.

00:04:49.880 Associating yourself with Trump pretty much guarantees you lose half of your market.

00:04:56.200 Nobody who understands anything about business would have said, you know what?

00:05:01.260 You know what would be really good for business?

00:05:03.120 It's as if I associate with, you know, half of the country instead of the whole country.

00:05:10.740 There was no way that Musk didn't understand that it would be risky just to throw in for once.

00:05:19.320 It doesn't even matter which side.

00:05:21.420 It would work either way.

00:05:22.680 But I feel like the Democrats don't understand enough about business to know that if you're good at business, you wouldn't do this for business reasons.

00:05:34.760 The only way it makes sense for Elon to be so involved for business reasons is because he thinks he needs to save the entire country, which, given that it's America, it would have a big ripple effect on the rest of the world.

00:05:50.220 So, Elon's trying to save the world.

00:05:53.040 Now, if you say, oh, I think he's only trying to save the world because he'll make money.

00:05:59.020 I say, you're a freaking idiot.

00:06:02.780 Saving the world is good enough.

00:06:06.460 You don't need a reason on top of it.

00:06:09.500 I'm going to save the world, but I figured out a way to get a grift out of this.

00:06:14.860 I've got a scam working that once I've saved the world, I think I'm going to make revenue with my existing companies.

00:06:24.340 Yes, that's exactly what he's going to do.

00:06:26.480 He's going to make revenue in his existing companies if he can save the whole freaking world because it is an existential threat.

00:06:35.420 And doge is the only thing that has any chance of preserving America.

00:06:45.080 America doesn't have a chance.

00:06:46.980 This is an existential risk, the debt.

00:06:50.100 And there's only one person who has the balls and maybe the capability, we hope, to actually make a difference on the debt.

00:07:01.360 So, there's that.

00:07:03.500 Anyway, Trump gave his big speech, which is not a State of the Union because he's only just got there.

00:07:09.980 So, I guess the first one is more just a speech.

00:07:12.700 So, he pushed the Golden Age theme, which I love, and he pushed the Common Sense Revolution that he says is now part of a global movement.

00:07:37.440 Now, I love that because it's really hard for anybody in any country to be opposed to common sense.

00:07:46.660 In order to be opposed to common sense, you'd have to, I don't know, what, dress all in pink and wear stupid signs?

00:07:56.720 Okay, Democrats can be opposed to common sense because they literally found a way to agree with only the 20% issues,

00:08:04.960 where 80% of the country is on one side, but they're like, oh, no, we can't be on Trump's side with the 80% of the public.

00:08:13.260 So, watch this.

00:08:17.520 And I guess Trump talked about energy and all the energy stuff he's doing and something about egg prices.

00:08:27.160 Have you noticed that everybody wants egg prices to go down, but nobody has any idea how that would happen?

00:08:33.260 Now, I get that energy prices would be good for everything, but is Trump doing anything for egg prices directly?

00:08:43.320 I'm not aware of it.

00:08:45.020 Do the Democrats have an alternative egg plan?

00:08:49.200 You know what I'd love?

00:08:50.720 I'd love for Trump to say, you know what?

00:08:53.120 It really is hard to get egg prices down.

00:08:56.240 Would any of you Democrats like to work with me to come up with an egg price reduction plan?

00:09:02.040 Because I'd love to see your thinking.

00:09:05.700 What?

00:09:06.540 No, no, the pink dresses.

00:09:08.980 Is that how you bring the egg prices down?

00:09:11.080 No, no.

00:09:12.000 Is it the little signs that you hold up?

00:09:15.040 Is it the weird protests?

00:09:17.540 Is it funding charities that we've never heard of in other countries?

00:09:23.280 What is your plan for bringing down the egg prices?

00:09:25.700 So, if I were Trump, I would see if he could get the Democrats to commit to an egg price reduction scheme, and then he could react to it.

00:09:37.280 He'd say, you know what?

00:09:38.480 That's actually a pretty good idea.

00:09:40.320 Let's do it.

00:09:42.060 Or, that's the dumbest thing I've ever heard in my life.

00:09:45.620 There's got to be a better way.

00:09:46.940 Okay, so let me put this challenge out to the public.

00:09:52.100 And I'd love to see Trump do something like it.

00:09:56.320 Just ask the public.

00:09:58.220 What would you do?

00:09:59.920 Actually, maybe this is even an Elon Musk thing, or maybe it could start with him.

00:10:05.200 But, how do you reduce egg prices?

00:10:09.580 I mean, have more chickens and, you know, the obvious stuff.

00:10:13.540 But, is there anything the government can do that makes sense that would lower your egg prices?

00:10:21.780 Subsidize them?

00:10:23.020 I don't know.

00:10:25.380 I'd love to hear it.

00:10:26.780 And then, the other thing that was a big surprise to me in the speech was,

00:10:30.820 Trump's going big on American shipbuilding.

00:10:33.080 We'll talk about that separately.

00:10:34.180 Claudia was leaving for her pickleball tournament.

00:10:36.800 I've been visualizing my match all week.

00:10:39.320 She was so focused on visualizing that she didn't see the column behind her car on her backhand side.

00:10:45.360 Good thing Claudia's with Intact.

00:10:47.280 The insurer with the largest network of auto service centers in the country.

00:10:51.040 Everything was taken care of under one roof, and she was on her way in a rental car in no time.

00:10:55.480 I made it to my tournament.

00:10:57.520 And lost in the first round.

00:10:58.960 But, you got there on time.

00:11:00.800 Intact Insurance.

00:11:01.960 Your auto service ace.

00:11:03.080 Certain conditions apply.

00:11:05.480 But, here's what I loved.

00:11:10.180 Trump starts his speech by saying, quote,

00:11:12.520 I could find a cure to the most devastating disease, a disease that would wipe out entire nations, or announce the answer, the answers to the greatest economy in history, or the stoppage of crime to the lowest level ever recorded.

00:11:26.560 And, these people sitting right here will not clap, will not stand, and certainly will not cheer for these astronomical achievements.

00:11:37.320 Now, these are imaginary achievements.

00:11:38.960 But, and then he went on, so Democrats sitting before me, just this one night, why not join us in celebrating so many incredible wins for America, for the good of our nation?

00:11:51.760 Let's work together, and let's truly make America great again.

00:11:54.980 Now, obviously, they weren't going to do that, because they came there to be protesters and, you know, ruining his flow.

00:12:05.420 But, what he did was, he framed them, he basically framed them.

00:12:11.780 So, instead of, I'm giving a speech, and they think I'm a big old liar, and so they're trying to, trying to make a point.

00:12:19.140 He framed them as not even able to agree with things you, everybody should agree with.

00:12:25.660 Now, do you think that they proved, at some time during the night, that the Democrats prove him right, by showing that there were things that anybody should agree with, just anybody should agree with?

00:12:41.220 And, did they disagree with that one thing that anybody should have agreed with?

00:12:46.420 Yes, they did.

00:12:47.540 They fell exactly into his frame.

00:12:50.020 They fell into the frame of finding the one thing, the one thing that nobody, nobody could disagree with.

00:13:00.420 They found a way.

00:13:02.200 And, it was when he introduced the 13-year-old boy who had survived, I guess, brain cancer as a kid, you know, had a real tough, tough start in life.

00:13:15.320 But, the little kid who, and it's important to the rest of the story, was black.

00:13:20.020 And, it's still black.

00:13:21.780 And, the kids there with his father, who looked awesome, looked like, I assume that was his father, who looked like, you know, just this great supportive dad who'd gotten him to this point.

00:13:32.820 And, I guess the son really liked police officers, wanted to be one.

00:13:36.880 And, I think he'd gotten some honorary, you know, police officer badges or something from various police departments who were just being supportive of the fact that he just loved police.

00:13:48.740 And, so, Trump comes up with this idea of having him in the audience, telling his story.

00:13:57.460 And, there's nothing political about it.

00:14:00.200 It's literally just awesome kid, survived a terrible thing, loves the police, and the police showing love back.

00:14:09.020 So, Trump announces that they're going to make him part of the Secret Service.

00:14:15.940 Now, obviously, these are ceremonial kind of positions.

00:14:19.800 And, I think he had that new head of the Secret Service go up there and give him basically an ID, you know, like a little wallet ID thing that says he's part of the Secret Service.

00:14:31.700 And, then there was a moment that was the best moment.

00:14:37.480 So, I think the kid's name was DJ.

00:14:40.000 And, the kid just looks at it and he's just like blown away.

00:14:44.000 It's like the happiest thing.

00:14:45.560 It's just what he loves.

00:14:47.440 And, he just goes in for the hug.

00:14:49.820 He just grabs this guy you'd never met.

00:14:53.380 This, you know, this white guy who's just the head of the Secret Service, I believe.

00:14:58.280 And, the 13-year-old just grabs him and hugs him, like hugs him cheek to cheek.

00:15:05.780 And, then you see the head of the Secret Service, I guess that's who he was.

00:15:11.820 If you know his name, give it to me, I'll say it.

00:15:14.560 And, he's loving it.

00:15:16.360 Like, it's just this moment where there's just two human beings having a genuine hug.

00:15:24.260 And, it was great.

00:15:25.740 So, what do you think the Democrats did to that?

00:15:32.480 It was really the ultimate trap.

00:15:36.100 It was the ultimate, ultimate trap.

00:15:39.680 There was this little moment was, first of all, you know, it was contrived in the sense

00:15:47.200 that Trump knew that if you put these elements together, it's going to be an emotional impact.

00:15:52.620 So, it was contrived in that way.

00:15:55.020 But, it was also completely genuine in the sense that the emotions of the kid and the emotions

00:16:02.100 of the gentleman who gave him the little Secret Service ID, those were real emotions.

00:16:09.420 And, there was spontaneity to it.

00:16:11.160 And, it was genuine.

00:16:12.340 It was authentic.

00:16:13.080 Even, you know, even given the setup, which was artificial.

00:16:19.140 Sean Curran.

00:16:22.460 Is that the name of the Secret Service guy?

00:16:26.040 Yeah.

00:16:26.280 So, it was this beautiful moment.

00:16:27.480 So, then on MSNBC, you switch to MSNBC, and they're trying to find something wrong with it.

00:16:42.340 And, Rachel Maddow, she's got some damn thing. 1.00

00:16:47.420 She's acting like Trump's taking credit for curing the kid's brain cancer.

00:16:51.500 So, she's all disgusted.

00:16:56.600 80% of the entire country is like, oh, my God, that was good.

00:17:00.420 Like, that's a moment.

00:17:01.700 That's what I like to see.

00:17:04.960 And, they've got to be on the other side of it.

00:17:07.780 And, so, what did Nicole Wallace say?

00:17:11.280 I have to find the Nicole Wallace thing.

00:17:14.020 I'm jumping ahead here.

00:17:14.860 That was my favorite moment.

00:17:21.300 Anyway, she had some complaints about it.

00:17:23.320 We'll get to that.

00:17:24.740 Nicole Wallace.

00:17:26.780 So, now, I don't think that this is the most important part of the speech.

00:17:33.100 But, it was hilarious how he set the frame and set the trap, and then they fell right into it.

00:17:39.020 Anyway.

00:17:39.200 Then, Representative Green, who's a Democrat that you might recognize as the one who always wants to impeach Trump on his first day of office.

00:17:52.720 So, he's put in for a bunch of impeachment facts.

00:17:57.360 But, he gets up, and I guess he started yelling.

00:18:00.520 But, he wasn't microphone, so on video it didn't look like he was making much of a dent.

00:18:05.800 But, he refused to sit down.

00:18:09.740 And, then, I'm watching Speaker of the House Johnson, who's sitting behind the President for the speech with J.D. Vance in the back.

00:18:18.920 And, Johnson, you could see him getting ready for action, because it would be his job to, you know, get order in the House.

00:18:28.080 And, so, I see him reach over, and he turns his microphone toward himself.

00:18:32.180 And, I'm like, oh, it's on.

00:18:35.040 It's on.

00:18:35.780 This is going to be good.

00:18:37.040 And, I was more interested in how he did it.

00:18:40.900 Like, you know, could he pull it off in a dignified way?

00:18:44.980 You know, could he get, you know, Green to sit down?

00:18:49.820 And, what I saw was even better than that.

00:18:52.020 Like, he waited.

00:18:53.380 And, then, he gavels in.

00:18:55.720 And, it looked like Trump was sort of expecting it.

00:18:58.680 And, so, Trump stands back and just lets it happen.

00:19:03.180 And, then, Representative Johnson, you know, gavels in.

00:19:07.520 And, then, he reads something that he had prepared, obviously, that said something like, you know, the members will show decorum in the room, blah, blah, blah.

00:19:19.760 And, that didn't make a difference.

00:19:21.620 So, Green just kept yelling.

00:19:23.120 And, then, he, Johnson said, you know, essentially, if we can't restore order, you know, the sergeant-at-arms will be asked to restore order.

00:19:36.080 Now, that kind of means escort him out.

00:19:39.240 But, that didn't take.

00:19:42.560 So, he had to do it again.

00:19:44.560 And, eventually, the sergeant-at-arm, I guess, came down and just sort of gently guided Representative Green out.

00:19:53.960 And, I'm sure Green was expecting it because he, you know, he was pushing it to try to get the maximum effect.

00:19:59.540 But, here's what I like the best.

00:20:04.620 I figured out who would be the best casting for the next starship captain for Star Trek.

00:20:10.780 You know, there's always another Star Trek spinoff.

00:20:14.020 But, Representative Johnson, he has the perfect starship captain voice.

00:20:23.300 It's just such a command voice.

00:20:25.140 I just absolutely love to hear him talk.

00:20:27.660 But, usually, you hear him talk about boring, you know, budget things and diplomatic things and stuff.

00:20:34.200 But, when he had to talk, I won't say like a tough guy, but rather like a captain.

00:20:42.060 He talked like a captain.

00:20:44.060 It was matter-of-fact, but it was powerful.

00:20:47.420 It was forceful.

00:20:49.160 He didn't leave any wiggle room.

00:20:51.220 You know, there was no up-talk in it.

00:20:54.260 He basically just laid it out.

00:20:56.160 This is what's going to happen.

00:20:57.740 If you do it again, you'll be removed.

00:21:00.400 It was excellent.

00:21:01.760 It was just great TV.

00:21:05.000 By the way, the whole thing was great TV.

00:21:07.280 I don't think I've ever anticipated one of these types of speeches as much as this.

00:21:13.300 If you were watching from the very beginning,

00:21:16.300 like, there seemed to be like almost an electricity in the air.

00:21:20.940 I was watching a little CNN before it went live, you know, before Trump actually showed up.

00:21:26.860 And, even CNN seemed to be buzzing with some kind of energy that wasn't typical.

00:21:32.800 Certainly, wouldn't have had with Biden.

00:21:35.320 So, then Melania does her entry. 0.99

00:21:39.380 And, I'm thinking to myself, when was the last time a first lady did an entry that was that perfect for the show?

00:21:48.580 So, just sort of perfect.

00:21:51.040 Like, she just has that elegance and grace kind of thing going on that's unusual.

00:21:56.660 So, she's perfect.

00:21:59.100 The setup is perfect.

00:22:00.800 The lighting, the room, the camera work, just the anticipation, the buzzing.

00:22:06.300 And, then Trump comes in and starts working.

00:22:10.780 And, there's this protester with a little sign.

00:22:14.100 One of the pink-dressed women, you know, gets up so that as Trump has to work his way through the aisle to get up to the podium, 0.91

00:22:22.100 you're forced to see her with her little sign.

00:22:25.500 And, her sign says, this is not normal on this little white sign.

00:22:29.700 But, the funny thing is, it looked like it could be talking about herself as much as Trump.

00:22:36.080 So, that part was funny.

00:22:37.620 Yeah, this is not normal.

00:22:39.400 I guess some Republican grabbed it out of her hand and just tossed it or something.

00:22:45.900 I don't even know if that's legal.

00:22:47.720 Can you grab something out of somebody's hand?

00:22:50.880 But, I mean, I didn't see it on camera, the grabbing out of the hand part.

00:22:54.400 But, that was funny.

00:22:58.020 And, I didn't, at first, I didn't know why Trump gave the stink eye to somebody.

00:23:02.680 Because, he was sort of glad-handing and saying hi to everybody.

00:23:06.420 And, then he did this look to the right and just gave this look.

00:23:11.380 And, then looks away.

00:23:13.140 And, I think he was looking at the pink suit lady.

00:23:17.740 Anyway, what else happened?

00:23:20.860 Trust and safety is becoming a key driver of customer experience.

00:23:26.220 Influencing how users engage, how safe they feel, and, ultimately, how likely they are to return.

00:23:32.480 Because, I don't know about you, but if I've had too many bad experiences on a platform,

00:23:37.220 I'm definitely not rushing back for more.

00:23:39.500 This is the intersection we're here to explore today.

00:23:42.260 Tap to keep listening to how Trust and Safety redefined CX for brands like TikTok, Trustpilot, and more.

00:23:48.300 A conversation with InTouchCX.

00:23:51.420 So, basically, you know, I've been making fun of the Democrats for not being authentic.

00:24:00.700 Where Trump is completely owning the authenticity, you know, part of the argument.

00:24:06.860 And, so the Democrats, in order to be more authentic, they have this entire theater kid skit.

00:24:15.200 They're trying to put on, like, a competing play so that they get more attention than Trump does.

00:24:21.680 So, they're dressing all in pink, and they got their little signs that say stuff like,

00:24:26.720 Musk steals. 1.00

00:24:31.180 Even the little signs are stupid.

00:24:33.140 So, they got those little douchebaggy signs and their little douchebaggy pink outfits. 1.00

00:24:41.220 And, CNN did an instant poll to see how the public was taking it, especially the Democrats interrupting.

00:24:49.620 And, 80% said the Democrats interrupting was inappropriate.

00:24:55.520 It means they couldn't even get their own team on their side.

00:24:58.880 They were so, just so wrong in every way.

00:25:05.960 And, then, CBS News, YouGov, did a poll and found that 76% of the viewers approved of Trump's speech.

00:25:14.620 76%?

00:25:15.440 How in the hell do you get 76% to approve of any president's speech?

00:25:21.200 Is that even real?

00:25:22.380 Now, I realize these are not the most scientific polls.

00:25:25.560 They're kind of instant polls.

00:25:27.800 But, even a non-scientific instant poll, if it's on CBS or if it's on CNN, you sort of expect it to lean in one direction.

00:25:38.660 But, it leaned pretty hard in the other direction.

00:25:41.160 So, that whole 80-20 thing kicked in again.

00:25:43.960 And, the Democrats found the only thing they could have done, which 80% of the public would disagree with, in the context of being the party that's being accused of always being on the wrong side of every 80-20.

00:26:02.140 They created a whole new topic, which is, you know, the disturbance of the president's speech.

00:26:09.980 And, they turned it into an 80-20 against themselves, while they're being accused of being the idiots who can't figure out an 80-20 topic.

00:26:19.700 It could not have been funnier.

00:26:21.160 Anyway, so, all the theater kids got together and put on their little douchebag play. 0.57

00:26:29.200 And, it didn't work out.

00:26:33.460 And, then, Trump.

00:26:36.180 You know, of course, I've always been a big fan of Trump's nicknames.

00:26:39.760 But, I have to be honest.

00:26:41.340 There was one nickname that, when he first came up with it, I felt, you know, this doesn't feel like it's up to his usual standard.

00:26:52.320 And, I never, I just didn't embrace it.

00:26:56.220 And, it was Pocahontas.

00:26:58.700 Now, I'm not sure why I didn't like it.

00:27:00.780 I guess it was maybe, I don't know, Felters 2 on the nose or somehow disrespectful to Native Americans or something.

00:27:09.300 I don't know.

00:27:09.680 I didn't have a specific complaint.

00:27:11.420 But, that one, I felt like, you know, not really on point.

00:27:17.900 But, what I've learned is that if you stay in character and you relentlessly stay in character and you just never leave your character, which is what Trump does better than anybody, you can eventually normalize anything.

00:27:33.720 And, Trump has normalized his nickname thing to the point where, if he didn't do it, you'd be disappointed.

00:27:42.680 And, my best analogy to this is John McEnroe, tennis player.

00:27:49.680 So, if you're not old enough to remember, John McEnroe was like a bad boy brat, always complaining about the refs and yelling stuff like, you can't be serious.

00:28:00.120 And, everybody loved to hate him because it was just so inappropriate.

00:28:03.980 You're not supposed to do that.

00:28:05.920 You know, tennis is supposed to be, you know, a dignified sport.

00:28:10.280 Sort of like politics.

00:28:11.980 Politics is supposed to be a dignified thing.

00:28:14.960 But, you know, there's Trump giving all these nicknames, ugh, nicknames.

00:28:19.700 And, there's McEnroe yelling at refs, oh, you don't yell at refs at every little call you don't like.

00:28:25.420 Come on.

00:28:26.500 But, eventually, since McEnroe was just always McEnroe, by the time he was playing the seniors tour, he'd have to throw in some complaints, even if he didn't care.

00:28:37.340 Because, people expected it, and it was just part of the act.

00:28:41.040 So, once you are relentless, and you're authentic, authentic is the thing.

00:28:47.760 McEnroe was authentic.

00:28:50.920 He really felt the things he was saying, and he really had, and everything about it was just him.

00:28:57.140 That was just his personality.

00:28:58.740 So, Trump has this personality that, if you're first exposed to it, you go, whoa, whoa, whoa, whoa, what's going on here?

00:29:06.940 That's way too far.

00:29:08.180 You've gone way too far.

00:29:09.240 But, by the time he got to the, essentially, State of the Union that wasn't one because he just started, he's in the most dignified room in the world, doing the most dignified thing you could ever do, which is a presidential address.

00:29:26.760 And he starts talking about Ukraine, and how some people want, you know, Ukraine to last forever.

00:29:34.080 And then he calls out Pocahontas.

00:29:36.940 He goes, well, you know, maybe Pocahontas. 0.83

00:29:39.560 And by the time he throws a Pocahontas into the State of the Union, you just have to surrender to it. 1.00

00:29:52.360 You have to just give up.

00:29:54.880 You have to go, all right.

00:29:58.060 You just have to give up, and you just got to go, okay, she's Pocahontas. 1.00

00:30:09.740 There's nothing we can do about it.

00:30:11.400 And now it's just funny.

00:30:12.800 And somehow he normalized that to the point where you just couldn't complain about it.

00:30:25.680 And even she tried to smile when the camera hit her.

00:30:29.960 I don't know if she was smiling on the inside, but I'd like to think that even Elizabeth Warren could understand the moment.

00:30:38.020 And that was funny.

00:30:41.360 Anyway, so then one of Trump's moments was he started talking about the potential for fraud in the government spending.

00:30:52.120 He was talking about the Social Security list of people who were getting Social Security.

00:30:57.660 And he starts with, you know, there are, I don't know, over 4 million people who are getting paid from Social Security, he says,

00:31:06.880 who are over 100 but younger than 109.

00:31:11.580 And you hear that number, you're like, holy cow, all those people, they might be getting it.

00:31:16.320 Now, let me say, I don't know if that means that people are getting paid.

00:31:23.240 It might mean that there's just a data error in the database, and some other database, you know, corrects for it somewhere else.

00:31:31.160 So I'm not sure that it's an indication of actual crime or corruption.

00:31:38.960 But what it definitely is, is something that everybody can understand when he talks about it, which is what makes Trump special.

00:31:47.440 Like, even his critics will say, we've got to find somebody who talks like the people.

00:31:53.200 Trump talks like the people.

00:31:54.600 And he's just so good at it that this is another example.

00:32:01.640 So then he starts going to the list.

00:32:03.080 He's like, and then you've got this many people on this age.

00:32:07.180 And he just keeps getting older and older in the ages.

00:32:10.580 So he gets to, like, the middle of his list.

00:32:12.720 He's like, between the ages of 160 and 169.

00:32:17.540 And now it's just hilarious, because everybody knows, you know, maybe there's somebody who's over 100.

00:32:24.120 You know, there could be people over 100 who are collecting Social Security.

00:32:27.920 But there's nobody over 160.

00:32:30.780 And certainly not 121,000 of them.

00:32:34.680 And then he just keeps going until he gets to, like, people who, I guess it was one person over 300 years old.

00:32:42.180 But according to the database, not reality.

00:32:49.020 Now, again, it's not my understanding that we know for sure that these are indications of fraud.

00:32:56.180 And I've heard an argument that they're not.

00:32:58.740 But everybody understands that if your big database of who should be getting money has errors like this in it, you've got a problem.

00:33:08.900 Now, the problem might be you need better data, or the problem might be there's massive corruption going on, and this is showing where some of it is.

00:33:18.940 But apparently Bernie Sanders did his own response video that nobody wanted.

00:33:25.920 And nobody wanted to hear Bernie Sanders.

00:33:28.060 He wasn't the official response person, because that was Slotnik, who did it later.

00:33:34.100 But Bernie makes his own video, and he decides to focus on the part about the Social Security ages.

00:33:42.080 And so Bernie has now joined the crazy eyes part of the Democrat Party, where his eyes are literally, like, crazy.

00:33:51.180 They're all crazy.

00:33:53.020 And he goes, nobody, nobody who is 150 years old or 200 years old or 300 years old is receiving Social Security checks.

00:34:02.520 Now, Bernie, I don't know why I need to explain this to you, but I don't think Trump's point was that we have a lot of really old people in America who are receiving Social Security.

00:34:23.760 It wasn't his point that there are real people who are 300 years old who have received a lot of Social Security.

00:34:32.820 No.

00:34:33.520 His point was either the data is bad, and that's a problem, or there might be some corruption indicated by this.

00:34:42.040 But the best that Bernie can do is to emphatically remind us that nobody, nobody who is 150 years old or 200 years old or 300 years old is receiving Social Security checks.

00:34:57.440 Now, he looked like he was suffering dementia.

00:35:01.260 So I'm just going to put it out there.

00:35:06.060 I don't, you know, I'm no medical expert, but everybody reaches an age where things don't work so well.

00:35:14.000 And I have to say, Bernie looks like he's reached that age.

00:35:18.440 So imagine being a Democrat and watching Trump do this, you know, master class in showmanship that was really first rate.

00:35:29.300 I mean, it was good.

00:35:31.520 And then you're like, oh, okay, he was good.

00:35:34.700 We'll give him that.

00:35:36.180 We will acknowledge that Trump knows how to put it on the show.

00:35:39.560 Okay.

00:35:40.380 All right.

00:35:40.780 We're going to give him that.

00:35:41.480 But watch this.

00:35:43.360 Watch when our crack field of Democrats takes him down.

00:35:49.580 And then Bernie comes on.

00:35:51.100 Oh, there's nobody who's 300 years old.

00:35:54.680 And you're just sitting there saying, oh, God.

00:35:57.760 Oh, no, shoot me.

00:35:59.160 Oh, God.

00:36:00.160 Why do I have to be on this team?

00:36:02.920 So that was great.

00:36:06.440 And other news on the speech.

00:36:08.880 Trump said that he got a letter from Zelensky that he just got before the speech, I guess.

00:36:15.940 And he said the letter reads, Ukraine is ready to come to the negotiating table as soon as possible to bring lasting peace closer.

00:36:24.860 So that's Trump quoting the letter.

00:36:27.240 And Trump said, I appreciate that he sent this letter.

00:36:30.260 I just got a little while ago.

00:36:31.940 Now, if you remember what Trump said, he said, you're not ready for this minerals deal because you're still talking about like war lasting forever.

00:36:43.040 And you're just not ready for peace.

00:36:46.020 So I need something that says, I want to make peace really soon.

00:36:53.280 And Zelensky gets the message.

00:36:56.880 And he sends a thing that says he's ready to come to the table to bring lasting peace closer as soon as possible.

00:37:04.500 So that's what he needed.

00:37:07.160 Lasting peace, soon as possible.

00:37:10.660 Put that in the letter.

00:37:12.780 Send me the letter.

00:37:14.440 Let me read the letter.

00:37:16.280 And then we're good.

00:37:18.560 Then something can happen.

00:37:20.820 I love the clarity of that.

00:37:23.620 The clarity was perfect.

00:37:25.360 Because Trump said exactly what was wrong.

00:37:29.360 He told him exactly how to fix it.

00:37:32.200 And if he fixed it, peace to Ukraine.

00:37:36.860 And so Zelensky finally, it couldn't have been more clear exactly what he needed to do.

00:37:43.100 Put exactly those words in the letter.

00:37:45.740 Send it exactly to him.

00:37:47.880 Trump gave him the credit that, you know, he essentially had promised.

00:37:52.940 If you can do this, things will be good.

00:37:55.980 And then Trump did the thing which we love Trump about.

00:38:00.100 Is that although his enemies call him transactional, those who are not his enemies call him a dealmaker.

00:38:09.480 He likes making deals.

00:38:12.640 So if you can just get on the frame of we're going to make a deal and you don't be ridiculous about it, we're going to make a deal.

00:38:21.740 So maybe back on track.

00:38:23.920 We'll see where that goes.

00:38:25.360 Join us aboard CN's podcast, The Inside Track.

00:38:29.760 Your front row seat to the railroads and supply chains powering North America.

00:38:33.880 In Episode 2, we unpack CN's approach to temperature-controlled shipping with Keegan Donaghy.

00:38:38.500 From frozen goods to protect from freeze shipments, learn how CN's specialized intermodal fleet helps deliver on time and on temperature.

00:38:45.960 Tune in now to The Inside Track.

00:38:47.260 So most of the speech was more, let's say, I don't want to say anti-China because that feels like the wrong frame.

00:39:03.060 But rather, I'd say framing China as the biggest challenge to America in the future, the near future, starting today. 0.90

00:39:13.720 And I didn't catch anything that was anti-Russian, but I did fall asleep during part of it. 0.67

00:39:22.160 Was there any anti-Russian stuff in the speech?

00:39:26.400 Because I don't think there was, which would be sort of a change from normal presidents lately.

00:39:35.980 Certainly, certainly it would be a change from Biden.

00:39:39.620 But there was a whole bunch of, again, I don't want to say anti-China, but let's say taking China seriously as the other big power in the world.

00:39:52.180 And so he had tariffs on China, and of course, China's going to respond to the tariffs.

00:39:59.340 He talked about building a missile defense.

00:40:02.460 You could argue that that, you know, includes anybody who might send a missile, but who are we really worried about?

00:40:10.600 We shouldn't be worried about anybody attacking the homeland, but I wouldn't mind having a missile defense just in case.

00:40:17.200 We talked about the Panama ports and, you know, resting control from China.

00:40:23.940 They got a little too much control there.

00:40:26.260 He talked about putting a tax on Chinese ships who come into port in America.

00:40:31.540 He talked about taxes on Chinese cranes.

00:40:35.020 I guess the cranes that load and unload the containers.

00:40:38.140 And he talked about putting America heavily back into the shipbuilding business, both commercial and military.

00:40:50.480 Now, here's another one of those things where I wonder if this is one of those cases where somebody smart said something and it bubbled all the way up to the presidency and turned it into policy.

00:41:04.600 Because that only happens with Trump.

00:41:06.780 Trump has the best network of geniuses at this point.

00:41:11.820 People who are just really, really smart, who say really, really smart stuff, and the smart stuff bubbles all the way up to the top.

00:41:21.500 And then it makes a difference.

00:41:23.800 Because it was only, was it a week or two?

00:41:28.100 I saw an X.

00:41:29.380 There was a post by, I think it was Balaji Srinivasan, who would be one of the smartest people in the country, frankly.

00:41:35.980 And he was talking about the difference in shipbuilding capability of China versus basically everybody else in the world.

00:41:46.340 So China has built this massive shipbuilding capability.

00:41:50.740 And it's both for commercial vessels and military vessels.

00:41:57.680 Now, in that America has sort of deprecated its own ability.

00:42:03.780 So I think we have very little ability to build ships at the moment relative to China.

00:42:09.500 So if we want to have any influence over the oceans, and that's a big part of the globe is the ocean.

00:42:16.820 And if you want to be, you know, selling and buying stuff all over the world, you're going to need a lot of military ability in the oceans.

00:42:26.060 So Trump has made that a priority to become a major shipbuilder.

00:42:36.140 And I kind of wonder if that came from, you know, one post on X.

00:42:40.200 Because it was such a stark and shocking set of data that I'd never heard before.

00:42:48.720 I had no idea that we were basically not good at building ships anymore and that China had become really good at it, which is scary.

00:42:59.440 That's a real scary thing.

00:43:01.240 So it's possible that that was just one of those things again, or it might be that, you know, maybe a lot of people were aware of it and turned it into a thing.

00:43:13.420 All right.

00:43:14.480 So I'm kind of excited about that because to the extent that we can do anything with tax breaks or whatever it is to make shipbuilding big, I think that's exactly the right instinct.

00:43:29.560 And it doesn't have to be all for military because, you know, we're going to be, you know, living on the sea and doing a lot in the sea for a long time.

00:43:42.280 I saw a summary of Trump's speech by David Sachs.

00:43:46.000 I'll just read it because it's a good summary.

00:43:49.820 So Sachs said, this was the theme of the night.

00:43:52.560 Democrats sat sullen-faced as President Trump described one sensible policy after another.

00:44:00.200 Democrats took the 20% side of every 80-20 issue.

00:44:04.260 Trump even explained the trap that Democrats were about to fall into, and they still fell into it.

00:44:11.300 Yeah, as I said earlier.

00:44:14.220 Anyway.

00:44:14.740 Oh, here's the Nicole Wallace thing. 0.90

00:44:19.080 So Nicole Wallace, after the speech, said, you know, that she had lots of good feelings about the kid DJ, the one who got the Secret Service badge there.

00:44:30.120 And, you know, she had the normal good feelings about it.

00:44:33.480 It's good.

00:44:33.880 But then she goes, quote, about DJ, quote, I hope he has a long life as a law enforcement officer, but I hope he never has to defend the United States Capitol against Donald Trump's supporters.

00:44:48.980 And then she says, this is wild.

00:44:51.580 And if he does, I hope he isn't one of the six who loses his life to suicide.

00:44:56.080 It's like, is there any way they could lose harder than that?

00:45:07.000 They just have to dig really deep to find some problem with that.

00:45:11.520 Anyway.

00:45:12.160 And then the response came from Senator Lisa Sleck of Michigan.

00:45:21.640 And I didn't know she was a former CIA agent.

00:45:24.560 So anyway, she was complaining about the Doge employees having access to tax returns and health information and your bank account.

00:45:35.080 But the thing that people get wrong about human motivation, Democrats get this wrong, about human motivation, is when you talk about the richest man in the world, what would be the worst thing you could do business-wise from a risk management perspective?

00:45:59.300 What would be the worst thing that the richest man in the world could do?

00:46:04.420 The worst thing would be to say that you're trying to help the government with cutting costs, but really you get caught doing something that's the opposite, like stealing.

00:46:16.740 That's the worst thing that's the worst thing that's the worst thing that's the worst thing that could happen.

00:46:20.320 You would lose everything.

00:46:22.500 What person who's the richest person in the world would get involved in anything that would have a gigantic, gigantic downside risk?

00:46:35.420 Now, what's the upside risk?

00:46:36.880 Look, he's already the richest man in the world, probably is on his way to be the first trillionaire.

00:46:44.120 Do you know what he could do if he wanted to stay the richest man in the world and even get richer?

00:46:49.600 Stay out of politics completely.

00:46:51.580 But nobody in the right mind, who is already in that position financially, would create a situation where everybody's watching, and if he did something insane, like try to use his access to steal money from the government, how could that be dumber?

00:47:12.500 So watching people look at one of the smartest people in the country and richest, Musk, and assuming that he would do the dumbest thing that anybody would possibly do in that situation is so pathetically dumb that I almost don't have words to describe it.

00:47:34.800 I just shake my head and think, okay, I don't know how you think that that would make sense in his world.

00:47:42.920 In fact, if I had to make a list of all the people on the planet that I would trust the most if I lost my wallet, it would be Elon Musk.

00:47:56.320 If you dropped your wallet on the sidewalk and he was the first one to find it, the chance of you getting it back with all of the money in it is 100%.

00:48:06.840 First of all, he wouldn't let you not get your wallet back, like you'd give it to somebody and say, make sure they get this wallet back.

00:48:14.780 And secondly, there isn't any chance he's going to steal any money from it. None. Zero chance.

00:48:19.140 So that's how I feel about him in the government. It's hard to imagine somebody who would be less of a risk.

00:48:26.640 Now, the Doge employees themselves, I suppose everybody who has access to anything has some kind of risk.

00:48:33.880 But, you know, do I have less trust in the Doge people than I have in the government employees who have been there forever and have access to those same systems?

00:48:43.020 What would be the reasoning with which I would say, oh, the regular employees of the government are all honest and good people, but the Doge people are not?

00:48:57.800 Like, what would be any evidence that we increased any risk to these databases?

00:49:05.520 I don't know. There's just no connecting tissue.

00:49:08.520 Because it's not like nobody had access until Doge did.

00:49:13.320 How many people do you think have access to all of our systems?

00:49:18.160 It's got to be quite a few.

00:49:22.440 Anyway.

00:49:26.900 So here's some other stuff.

00:49:31.420 According to investing.com,

00:49:34.220 the European Union has postponed its plans to gradually phase out Russian gas.

00:49:42.480 So I think you're going to see Europe.

00:49:45.020 There seems to be some kind of a acknowledgement that Russian energy is going to be important to Europe and maybe it'll stay that way.

00:49:53.740 Now, I don't think that that would happen unless people saw that Russia and the United States were moving toward something that could be a more productive relationship in the future, whatever that looks like.

00:50:07.180 Now, I have to, again, I hate that I always have to put all the qualifiers on this, but I don't love Putin.

00:50:19.780 I understand that, you know, he is dangerous.

00:50:23.020 I know he's a dictator.

00:50:24.220 He's a murderer.

00:50:25.480 I know he's not to be trusted.

00:50:27.560 Okay.

00:50:27.860 Are we good?

00:50:29.080 Did I say all the right things?

00:50:30.420 Now I can just say what I want to say.

00:50:32.260 Putin is really good on the persuasion stuff, just really good.

00:50:40.460 And the fact that he's been doing joint military exercises with China, I don't think that means he really wants to be in any kind of a joint military action with China.

00:50:54.060 Like, for what?

00:50:55.780 Is he going to join China in attacking Australia someday? 0.97

00:50:59.700 I don't see it.

00:51:01.080 Is he going to join China in attacking America someday? 0.98

00:51:06.800 It's hard to imagine that.

00:51:09.720 But it's really good for making sure that America says, you know, you'd be better off if you were our friend instead of China's friend. 0.83

00:51:19.860 And I think maybe that's what he always wanted, which is to have China and the United States fight over who's a better friend to Putin.

00:51:29.240 And I think he got it.

00:51:32.320 I think he accomplished it.

00:51:34.580 Now, you could say, you know, Putin is the evil monster that you want him to be.

00:51:40.200 No argument whatsoever.

00:51:42.100 I'll let you have your opinion of him.

00:51:44.420 And that has nothing to do with my opinion.

00:51:45.960 My opinion is that just from a pure persuasion perspective, damn, he's good.

00:51:53.680 He's just really good.

00:51:55.460 And you can't take that away from him.

00:51:58.220 He's got skills.

00:52:00.260 And I do think that that's one of the things that bonds him with Trump is that they can see they can see the player.

00:52:06.340 And I think that they really appreciate that there's somebody who appreciates them.

00:52:12.560 Because I'll bet you, I'll bet you they have a solid appreciation of the skill set of the other.

00:52:19.580 That's what it looks like to me.

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00:53:23.300 Anyway, there's a story on, apparently right after the Biden administration was about to end, but before it did,

00:53:32.740 you already heard this, that $20 billion got funneled into these new charities

00:53:37.520 and these, you know, green charities that you never heard of.

00:53:42.860 New York Post has a story about this, but Mario Norfolk did a great job of summarizing it on X.

00:53:49.080 So, here are some of the charities that this $20 billion got speedily funneled into.

00:53:57.280 One group is called the Climate United Fund, and they got $7 billion, but has no federal filings or IRS records.

00:54:08.740 So, it just sort of appeared.

00:54:12.720 And, of course, you all know what the Climate United Fund does, right?

00:54:18.400 Because those are three words that sound good.

00:54:20.580 Fund, United, Climate.

00:54:22.620 I like the climate, but are they united?

00:54:25.680 Yes, they are united.

00:54:27.120 But you're going to need money.

00:54:29.020 Is there any kind of a...

00:54:30.300 Yes, there's a fund.

00:54:32.120 Climate United Fund.

00:54:33.280 And then there's another one that got $2 billion called the Power Forward Communities.

00:54:39.380 Well, is that a good thing?

00:54:40.860 How could it not be a good thing?

00:54:42.660 It's got communities right in the name.

00:54:45.080 It's got forward.

00:54:46.260 We all want to move forward, not backwards.

00:54:48.280 And it's got power.

00:54:50.020 Power right in the name.

00:54:52.300 And apparently, the Department of Justice and FBI are now investigating,

00:54:58.520 looking at their bank accounts and such.

00:55:00.380 We'll see what happens.

00:55:01.160 But here's what I love about the story.

00:55:06.620 I love when you finally see enough in the news where a pattern can form in your head.

00:55:16.440 And the pattern here is that the most suspicious-sounding charities,

00:55:23.120 the ones that get government money,

00:55:25.840 they all have the following characteristic.

00:55:29.000 They're made up of three words.

00:55:31.160 The name of the organization.

00:55:33.300 And they're three random-sounding good words.

00:55:36.680 That if you saw any one of the words individually, you'd say,

00:55:39.440 hmm, that's a good word.

00:55:41.500 But if you put the three of them together...

00:55:43.980 So you can take these two,

00:55:45.380 the Climate United Fund and the Power Forward Communities,

00:55:49.240 both three words,

00:55:51.420 both all good words that don't mean much.

00:55:53.980 But you can even interchange them.

00:55:57.580 I've just started a charity.

00:55:59.080 It's called the Communities Forward Fund or the United Power Forward.

00:56:08.120 You can basically just throw it all together and you got your charity name.

00:56:12.700 It just has to sound good.

00:56:13.780 Comically suspicious names.

00:56:17.600 That's what I'd have AI looking for.

00:56:21.140 Social Security Administration, speaking of them,

00:56:24.600 they just said that they could reduce their own budget by $800 million per year.

00:56:29.580 Now, I think there's an ex-head of the Social Services,

00:56:36.240 who is a Democrat, of course,

00:56:38.040 who says, oh, no, if you did that,

00:56:41.720 it would only be months before the entire thing collapsed.

00:56:44.640 But I said to myself,

00:56:47.320 how in the world is the Social Security Administration,

00:56:53.060 just the administration, not the payments?

00:56:56.820 We're not talking about the payments.

00:56:59.260 That's a whole different budget.

00:57:00.940 But just the people who manage the payments.

00:57:03.940 How is that so big that they can cut $800 million out of it

00:57:09.560 and think it would still work?

00:57:12.520 Like, what would be left?

00:57:14.640 And doesn't your common sense tell you that they're way overstaffed, right?

00:57:24.400 Because if you took away, you know,

00:57:26.380 obviously it's mostly just data and a computer.

00:57:30.480 But how many special cases are there that you need that many staff

00:57:36.080 for what is kind of an automated process?

00:57:40.160 Because once you've programmed in, what's the current law?

00:57:42.920 Okay, if you're this age, you get this, you know, you put it in the rules.

00:57:46.740 Once you've done that, as a current recipient of Social Security,

00:57:52.660 I recently, just like two months ago, I think,

00:57:56.380 I decided to turn it on.

00:57:59.180 And so they already have all of my information that I've been paying forever

00:58:04.920 because they send me reports so I know that they have it.

00:58:08.180 So they have everything that they need to know about me.

00:58:10.580 And then I fill out some forms.

00:58:14.760 And then they know that I want to get paid.

00:58:17.600 They know what to pay me.

00:58:18.860 The computer does.

00:58:19.840 No humans need to be involved.

00:58:22.080 And then I get checks.

00:58:24.300 Which part of that required a human beyond, you know,

00:58:29.120 setting up the computers in the first place?

00:58:30.980 And I'm thinking to myself, man,

00:58:34.100 the only way you could get to such a large organization

00:58:37.040 is if you got there sort of incrementally, you know,

00:58:41.340 increasing the budget 10% a year every time you could.

00:58:46.520 But if you were to build this today from scratch,

00:58:51.280 don't you think it would be six programmers

00:58:54.600 and then a big computer budget?

00:58:57.060 Like, why do you need this many special cases?

00:59:01.440 I don't know.

00:59:02.760 Maybe it's to take care of all those people

00:59:04.580 who are 300 years old and collecting checks,

00:59:07.320 according to Bernie.

00:59:09.960 Well, here's something that's fun.

00:59:12.500 Jon Stewart had offered to interview Elon Musk.

00:59:17.000 But Elon said, I got some requirements.

00:59:20.940 One of the requirements was it would be unedited.

00:59:24.920 So unedited.

00:59:26.040 Unedited.

00:59:27.720 Good.

00:59:28.760 And I think there was some other requirement,

00:59:31.360 but being unedited, I think, would be the primary one.

00:59:37.380 And so it looks like this might happen

00:59:41.440 because Stewart's agreed to the conditions.

00:59:46.320 As Stewart said, after thinking about his offer,

00:59:49.940 meaning unedited, I thought, you know, hey,

00:59:52.980 that's actually how the in-studio interviews normally air.

00:59:56.540 It's unedited.

00:59:57.480 So sure, we'd be delighted.

00:59:59.580 And he said he would do it any length of time,

01:00:02.100 which is another thing typically you wouldn't do on a TV show.

01:00:07.160 Normally, there's always that time.

01:00:09.340 But this is a special case.

01:00:11.700 So if 90 minutes is the right amount of time,

01:00:14.740 they'll do it 90 minutes.

01:00:15.780 If 15 is right, 15.

01:00:17.940 I like that.

01:00:20.660 But here's what I think about this.

01:00:24.160 This might be the best interview of all time.

01:00:31.060 It has that potential.

01:00:33.100 And here's why.

01:00:33.900 You don't have to like Jon Stewart in general.

01:00:41.420 You don't have to like his political views.

01:00:46.060 You know, you can say what you want to say about him.

01:00:48.260 You can say, oh, he's not, you know,

01:00:50.620 he's a snake in the grass,

01:00:52.000 and he might act reasonable sometimes,

01:00:53.900 but any minute he could turn on you.

01:00:56.740 Whatever you want to say.

01:00:58.600 But here's what I say.

01:00:59.540 He, as far as I can tell,

01:01:03.040 Jon Stewart is unwilling to be stupid in public.

01:01:07.380 I can't watch him privately.

01:01:09.120 Probably it's the same.

01:01:10.740 But publicly, I've been watching him for a long time.

01:01:15.280 And he doesn't want to act stupid in public.

01:01:19.640 And by that, I mean he would not reject common sense.

01:01:25.180 Musk only has common sense.

01:01:28.180 Only.

01:01:30.540 There's probably nobody in the world

01:01:33.160 who could do a better job of saying,

01:01:36.780 this is why we're doing it,

01:01:38.280 and this just makes common sense.

01:01:41.420 Musk is the champion of common sense.

01:01:43.980 I have real reasons.

01:01:45.300 Here are my reasons.

01:01:46.760 And if you disagree with me, I'll rethink it.

01:01:49.760 Like if you have a good argument, I'll rethink it.

01:01:52.700 Stewart's the same.

01:01:54.480 I believe that Stewart,

01:01:56.100 if he heard something he'd never heard before,

01:01:58.300 which is very possible,

01:02:00.040 like an argument that he just never heard before,

01:02:02.600 I think that he would in real time say,

01:02:06.100 okay, you know what?

01:02:07.600 That's actually a pretty good answer.

01:02:09.860 And there's nobody,

01:02:11.560 almost nobody,

01:02:12.920 there's nobody in the entire world that I think is capable of that.

01:02:19.440 And that's a big compliment.

01:02:21.260 So it's a compliment to showmanship and what I think is public honesty.

01:02:27.040 So I think this could be one of the biggest things we've ever seen in America,

01:02:33.320 because you're never going to get these two kinds of personalities sitting down together.

01:02:39.940 It just doesn't happen.

01:02:41.360 So the thing about Musk is he's not going to lie.

01:02:46.960 And he's going to have a reason for everything he does.

01:02:49.780 And it's going to be a damn good reason.

01:02:52.040 Now, that doesn't mean he's never made a mistake.

01:02:55.500 You know, I mean, I can't think of one offhand, but humans, you know, humans make mistakes.

01:03:00.740 And he doesn't say, I don't make mistakes.

01:03:03.720 So Musk, like Jon Stewart, very unique in that if Jon Stewart said in real time,

01:03:12.520 okay, but you haven't thought of this or you haven't thought of that,

01:03:15.580 and it was a good point,

01:03:17.440 I believe you would see Elon Musk say, that's a good point.

01:03:24.040 Yeah, let me think about that.

01:03:26.020 But I think that works both ways.

01:03:27.780 If Musk had a good point, I think that Stewart would say,

01:03:31.740 okay, actually, that's a good point.

01:03:33.740 Let me think about it.

01:03:35.700 So I've never seen even the potential for this much goodness in a podcast.

01:03:43.740 I mean, I would clear my schedule to watch this at any length

01:03:47.540 because of the uniqueness of the characters

01:03:50.540 and then the double uniqueness of putting them together.

01:03:55.300 So I'm yes, yes, yes.

01:03:57.780 Hell yes, on this happening.

01:04:01.060 I hope it does.

01:04:03.500 Could be huge for the country.

01:04:07.680 Ben Shapiro has started a petition

01:04:11.460 to call for the pardon of Derek Chauvin,

01:04:16.720 convicted for killing George Floyd.

01:04:19.600 Now, I can't say enough about how impressed I am

01:04:27.300 because, you know, if you have the things working for you,

01:04:31.760 like Ben Shapiro does,

01:04:33.380 he's got a good situation where he's, you know,

01:04:36.300 a respected commentator.

01:04:38.880 He's got a platform that looks like it's successful to me.

01:04:43.220 And he's in one of those situations where you don't take risks this big.

01:04:48.940 This is a big freaking risk to put your name, you know,

01:04:54.140 behind the essentially what would be taking George Floyd from being a saint

01:05:01.240 down to a more normal situation

01:05:05.620 and also supporting the white guy who got sent to jail.

01:05:11.480 So this is a big risk.

01:05:15.260 So let me say this about Ben Shapiro.

01:05:18.760 This is brave.

01:05:20.980 This is brave.

01:05:22.760 It's perfectly timed.

01:05:24.920 Oh, this is exactly the right time to do it.

01:05:27.100 And it's well-argued.

01:05:30.440 So I've seen his argument.

01:05:32.340 It's well-argued.

01:05:33.660 And it's absolutely right.

01:05:35.960 It's morally, ethically,

01:05:38.860 and in every way that America cares, it's right.

01:05:44.020 It's time.

01:05:45.640 I'm all in.

01:05:47.560 I'm all in.

01:05:49.840 Yeah.

01:05:50.420 So, I mean, I have less than to lose.

01:05:54.160 I'm already disgraced,

01:05:55.560 so it's not a big risk for me to say I'm all in.

01:05:58.540 But it's a bigger risk for Ben Shapiro.

01:06:02.380 So all respect to that.

01:06:04.660 Full respect.

01:06:07.720 So you probably saw on social media,

01:06:10.200 changing the topic,

01:06:11.880 there were videos of,

01:06:14.220 I guess there were 22 senators eventually,

01:06:17.700 who did what sounded like identical little videos,

01:06:21.260 where it was just them talking to the camera,

01:06:23.480 and they each had this little douchebag microphone 1.00

01:06:27.100 that doesn't look right when you're holding it like that.

01:06:31.260 You just got this little thing in your two little fingers,

01:06:33.700 and you're leaning forward in your chair,

01:06:35.860 and you're talking passionately.

01:06:38.600 And, of course, the Democrats are all the theater kids,

01:06:41.540 so it all looks like they were acting.

01:06:43.800 But it took about five seconds for the Internet to say,

01:06:47.380 wait a minute, wait a minute.

01:06:48.780 You're not the only person saying something like that.

01:06:51.160 And then there would be a split screen.

01:06:53.600 And if you watched it develop during the day in real time,

01:06:56.220 it was hilarious.

01:06:57.280 Somebody noticed, wait a minute,

01:06:58.820 there are two senators

01:07:00.300 who seem to be doing something similar.

01:07:03.620 And then, like an hour later,

01:07:05.560 wait a minute, wait a minute,

01:07:06.780 it's more than two.

01:07:08.280 I think there are four of them.

01:07:10.960 And then they showed, you know,

01:07:11.960 the four of them,

01:07:12.680 and they'd be talking at the same time

01:07:14.280 at pretty much the same words.

01:07:17.740 And then it just kept increasing

01:07:19.300 until it was like this screen full of people

01:07:22.700 all talking,

01:07:23.880 blah, blah, blah, blah, blah,

01:07:24.740 at the same time

01:07:25.720 with the same little message

01:07:27.180 and the same little douchebag microphone.

01:07:31.360 And so Elon Musk had posted

01:07:33.860 that he would give a free Cybertruck

01:07:36.360 to whoever could positively identify who wrote it

01:07:41.320 because they were trying to find the author

01:07:43.380 who was behind it.

01:07:44.720 But it turns out it was Cory Booker.

01:07:47.540 So Cory Booker organized it.

01:07:50.380 And I guess they decided

01:07:53.640 he was the best they had

01:07:55.220 to try to come up with a social media strategy

01:07:58.640 because they weren't happy

01:07:59.660 with their social media strategy.

01:08:01.720 And I guess Chuck Schumer

01:08:02.860 wasn't the greatest social media leader.

01:08:05.960 So they're like,

01:08:07.280 oh, we need somebody young and cool

01:08:09.620 to do our social media.

01:08:12.440 So Cory Booker puts that together,

01:08:14.280 which effectively was

01:08:15.920 all the theater kids doing a play,

01:08:18.680 like what they do.

01:08:20.860 And before I knew who was behind it,

01:08:25.680 I decided that it was somebody

01:08:28.780 either inexperienced or young.

01:08:33.560 And here's what I picked up.

01:08:35.180 This is sort of a writer's trick

01:08:36.580 because for each of them,

01:08:39.240 all 22 of them,

01:08:41.160 they had the same sort of opening tagline

01:08:43.780 that was,

01:08:46.020 shit that ain't true.

01:08:47.580 That's what you just saw.

01:08:48.860 So it starts with a Trump saying

01:08:51.400 he was going to lower prices on day one.

01:08:53.480 And then it would switch

01:08:54.740 to one of the senators saying,

01:08:56.660 shit that ain't true.

01:08:58.520 That's what you just saw.

01:08:59.700 I think they may have bleeped

01:09:01.120 the shit part or not.

01:09:02.620 I don't know.

01:09:02.980 So here's the writer's trick.

01:09:09.340 The writer's trick is this,

01:09:10.740 and maybe it's a communicator's trick as well.

01:09:13.360 You can swear

01:09:14.560 if you do it once

01:09:18.980 and it's something that's really important

01:09:22.340 and you just want to bring attention to it.

01:09:24.980 Or if you're somebody like Trump

01:09:27.600 who's sort of incorporated it

01:09:29.760 into his personality

01:09:30.760 that if he gives a rally speech,

01:09:32.660 he might lay an S-bomb on you.

01:09:34.720 He doesn't do Fs.

01:09:37.960 But maybe a hell,

01:09:40.080 maybe a damn,

01:09:41.020 maybe an S.

01:09:44.480 So if you use it judiciously,

01:09:48.460 it can be an accent that works.

01:09:51.620 I remember several years ago

01:09:53.860 there was a best-selling book.

01:09:55.260 I can't remember it,

01:09:56.100 but it had an F in the title.

01:09:58.700 It was something F this,

01:10:00.400 or I don't know, I forget.

01:10:01.720 But it became a best-selling book.

01:10:04.220 And then about a year later,

01:10:06.980 I was walking through a bookstore

01:10:08.380 and there were all these books

01:10:10.140 with the F word in the title

01:10:11.940 because they had decided

01:10:14.220 that maybe what sold that other book

01:10:16.520 was it had an F word in the title.

01:10:18.360 No, no.

01:10:22.260 That's not what sold that other book.

01:10:24.860 No, no.

01:10:26.120 It probably was a great book

01:10:27.580 and it had also a,

01:10:29.860 you know, attention-getting title.

01:10:32.240 But if you take the

01:10:33.580 it's a great book out of the equation,

01:10:35.620 you can't sell it

01:10:36.620 just because you could put

01:10:37.680 an F word in the title.

01:10:39.100 That would be the worst idea in the world.

01:10:41.440 And I don't think the other books sold much.

01:10:44.100 They did not become bestsellers.

01:10:45.900 But here, if you're going to do something

01:10:48.380 that you've got 22 senators

01:10:50.580 signing up for,

01:10:52.220 you can't put this artificial

01:10:54.020 swear word in there.

01:10:56.940 Oh, there it is.

01:10:57.640 The Subtle Art of Not Giving a F.

01:11:00.200 Yeah, thank you.

01:11:01.520 That was the original book.

01:11:03.100 And then everybody said,

01:11:04.240 oh, it's putting F in the title of my book.

01:11:06.360 That's what will work.

01:11:07.440 No.

01:11:08.520 Nope.

01:11:09.300 It was,

01:11:10.540 maybe it was just a good book.

01:11:11.800 But as soon as I saw that

01:11:15.520 all of these senators

01:11:16.660 were asked to swear

01:11:17.760 and it didn't matter

01:11:18.580 what the senators' personalities were

01:11:20.860 or if it worked for them

01:11:22.200 or it was compatible

01:11:23.580 with their character

01:11:25.720 or their moral

01:11:26.640 or ethical framing of the world,

01:11:29.600 that's just amateur time.

01:11:32.800 You know,

01:11:33.020 anybody who doesn't know

01:11:34.040 how to use a curse word

01:11:35.460 in communications or writing,

01:11:37.620 that's amateur.

01:11:38.540 Somebody who could use one

01:11:41.100 and get away with it

01:11:42.400 and make it actually work

01:11:43.620 like the title of that book,

01:11:45.060 that was an expert.

01:11:46.420 That's a great writer.

01:11:48.800 So you could tell right away

01:11:50.520 that it was amateur work.

01:11:52.640 I don't know if,

01:11:53.600 I don't know if Cory Booker wrote it.

01:11:56.180 I'm guessing he didn't.

01:11:57.900 Probably just had some young person

01:11:59.660 write it.

01:12:01.520 And then the mistake

01:12:02.580 was to overuse the S word

01:12:05.380 because why bother?

01:12:07.180 Anyway.

01:12:13.700 Bank more encores

01:12:15.140 when you switch

01:12:15.780 to a Scotiabank banking package.

01:12:18.180 Learn more at

01:12:19.240 scotiabank.com

01:12:20.280 slash banking packages.

01:12:21.980 Conditions apply.

01:12:23.740 Scotiabank.

01:12:24.520 You're richer than you think.

01:12:26.800 Watching the Democrats

01:12:28.160 pretend to understand

01:12:29.520 social media is hilarious

01:12:31.120 because it used to be

01:12:32.720 that the Democrats,

01:12:33.880 didn't the Democrats

01:12:34.640 sort of control

01:12:35.180 the youth vote?

01:12:37.180 And now they're

01:12:39.080 so anti-youth,

01:12:41.440 I mean,

01:12:41.780 with Pelosi

01:12:42.740 and Schumer

01:12:43.720 and God,

01:12:45.420 that they had to go

01:12:46.100 to Cory Booker

01:12:46.980 to get their young person.

01:12:49.020 And the best he could come up with

01:12:50.980 was terrible.

01:12:51.900 So it got spotted

01:12:55.080 and mocked right away.

01:12:59.220 And Scott Jennings,

01:13:01.000 who is the Republican superstar

01:13:04.500 who appears on CNN

01:13:05.740 and embarrasses their panel

01:13:08.100 of idiots every day. 0.83

01:13:10.340 Here's how he summed it up.

01:13:11.700 He goes,

01:13:11.940 voters,

01:13:12.600 voters,

01:13:15.700 we need more authenticity

01:13:17.300 in our politicians,

01:13:19.160 Democrats.

01:13:20.000 And then he points out

01:13:21.600 this totally artificial communications.

01:13:25.280 So

01:13:25.480 the Democrats

01:13:27.480 need more authenticity

01:13:28.960 and the closest

01:13:30.540 they could come to it

01:13:31.960 was making 22 people

01:13:34.460 curse the same way.

01:13:36.300 I don't know how you

01:13:39.240 could get further

01:13:39.900 from the mark.

01:13:41.860 That was impressively bad.

01:13:46.060 Meanwhile,

01:13:46.840 The Hill

01:13:47.220 had an article

01:13:49.420 about how Democrats

01:13:51.720 are looking for an outsider

01:13:53.100 to run for president.

01:13:55.120 I guess they decided

01:13:56.500 that

01:13:57.520 of their

01:13:58.280 many, many

01:13:59.060 Democrat politicians,

01:14:00.660 they didn't have any

01:14:01.720 who were worth a damn.

01:14:03.940 So they've got to look

01:14:05.040 for like an outsider.

01:14:07.160 Now,

01:14:07.540 remember,

01:14:08.140 I just told you the story

01:14:09.640 about somebody

01:14:10.960 put the F word

01:14:11.900 in the title

01:14:12.460 of a best-selling book.

01:14:14.060 So then all the dumb people

01:14:15.700 said,

01:14:16.200 I've got it.

01:14:17.340 It's the F word

01:14:18.440 in the title of the book.

01:14:20.240 So they copied

01:14:21.640 the wrong thing.

01:14:22.660 And here again,

01:14:24.300 they're copying

01:14:24.820 the wrong thing.

01:14:26.840 Trump won

01:14:27.760 as an outsider,

01:14:29.500 but not because

01:14:31.680 he's an outsider.

01:14:33.460 That's not why.

01:14:34.900 He won because

01:14:35.720 everything he does

01:14:36.900 makes more sense

01:14:37.940 than his competition.

01:14:39.940 He won because

01:14:40.840 he's incredibly

01:14:42.460 good at communicating.

01:14:44.120 He won because

01:14:45.240 his policies

01:14:46.120 are really,

01:14:47.400 really popular.

01:14:49.020 He won because

01:14:50.080 he's really,

01:14:50.800 really smart.

01:14:51.660 and he's brave

01:14:53.200 beyond anything

01:14:54.040 we've ever seen

01:14:54.860 in a president.

01:14:55.840 Fight,

01:14:56.200 fight,

01:14:56.560 fight.

01:14:57.480 So if you take

01:14:58.340 all of those qualities

01:14:59.500 of Trump,

01:15:00.540 let's call it

01:15:01.080 his skill stack,

01:15:02.780 from his knowledge

01:15:04.120 of how to put on a show

01:15:05.340 to knowing how

01:15:06.920 to get loyalty

01:15:07.720 to knowing

01:15:08.400 how to make a deal,

01:15:09.920 I mean,

01:15:10.180 his skill stack

01:15:11.240 is a mile high.

01:15:13.640 There are very few people

01:15:14.900 who have assembled

01:15:16.220 anything like

01:15:17.520 the number of skills

01:15:19.560 and knowledge sets

01:15:20.780 that Trump

01:15:21.780 has acquired

01:15:22.380 over his life

01:15:23.120 and he just

01:15:23.560 keeps adding to it.

01:15:24.980 I mean,

01:15:25.220 still at his current age,

01:15:26.340 he's adding skills

01:15:27.520 like he's learning crypto.

01:15:31.400 Trump could probably

01:15:32.420 already talk better

01:15:33.420 about crypto

01:15:34.200 than most

01:15:35.140 of the Democratic

01:15:35.940 politicians.

01:15:37.260 So if you've got

01:15:37.980 somebody who's

01:15:38.580 a learning machine,

01:15:40.600 he has,

01:15:41.060 you know,

01:15:41.440 no sense of embarrassment.

01:15:42.740 He's brave

01:15:43.660 beyond anything

01:15:44.640 we've ever seen

01:15:45.700 in that kind of an office.

01:15:47.540 Can take

01:15:48.220 incredible shame,

01:15:49.880 can fight through

01:15:51.520 the lawfare,

01:15:52.640 the attempted assassinations.

01:15:54.760 I mean,

01:15:55.060 come on.

01:15:56.760 This is a once

01:15:58.480 in a thousand year

01:15:59.580 person.

01:16:01.180 So what do the Democrats

01:16:02.220 take away from that?

01:16:04.480 Here's what they

01:16:05.340 take away from it.

01:16:06.860 Huh.

01:16:07.800 It's because

01:16:08.720 he's an outsider.

01:16:10.460 We'll get ourselves

01:16:11.200 an outsider.

01:16:11.860 That's not even close

01:16:13.580 to what's going on.

01:16:15.860 You just have

01:16:16.820 one person

01:16:17.360 with this enormous

01:16:18.460 set of skills

01:16:19.480 that work together

01:16:20.400 really well.

01:16:21.960 That's why he wins.

01:16:24.360 That's it.

01:16:25.760 You can't just go

01:16:27.000 get yourself

01:16:27.620 one of those.

01:16:30.580 You know,

01:16:31.300 you would already

01:16:31.980 know exactly

01:16:32.720 who it was

01:16:33.480 if one of those

01:16:34.160 people existed.

01:16:36.440 But they're throwing

01:16:37.380 in names like

01:16:38.120 Mark Cuban

01:16:38.940 and Stephen A.

01:16:39.980 Smith

01:16:40.260 and Fetterman

01:16:41.200 and

01:16:42.340 I think

01:16:46.460 that they're

01:16:46.820 completely

01:16:47.380 on the wrong

01:16:48.160 page.

01:16:50.200 In the end,

01:16:51.140 they're going

01:16:51.400 to come up

01:16:51.840 with whoever

01:16:52.320 they think

01:16:52.860 does the best

01:16:53.520 job of

01:16:54.640 pretending

01:16:55.220 to be authentic.

01:16:57.260 I think

01:16:58.000 that's

01:16:58.440 the extent

01:17:00.960 of their

01:17:01.360 visibility

01:17:01.940 of what's

01:17:02.500 going on.

01:17:03.540 Huh.

01:17:04.320 Let's get

01:17:04.980 an outsider

01:17:05.660 who can

01:17:06.160 pretend

01:17:06.600 to be authentic.

01:17:07.460 Okay.

01:17:09.340 Now,

01:17:09.880 I don't know

01:17:10.280 if Democrats

01:17:10.940 can ever

01:17:11.480 win with

01:17:13.000 a Mark Cuban

01:17:14.600 or a Fetterman

01:17:15.580 because if they

01:17:16.540 look like

01:17:17.000 they're too

01:17:17.860 much white

01:17:19.060 men,

01:17:20.400 I just don't

01:17:21.400 know if it

01:17:21.740 works.

01:17:22.860 You know,

01:17:23.100 I think Biden

01:17:23.720 might have been

01:17:24.200 the last

01:17:24.920 dinosaur to

01:17:25.800 squeak by

01:17:27.400 in the

01:17:27.720 Democratic Party.

01:17:29.520 Anyway,

01:17:30.040 one of the

01:17:32.440 people who

01:17:33.300 some think

01:17:35.060 NBC has

01:17:36.820 an article

01:17:37.420 about this

01:17:38.080 is that

01:17:39.520 Chris Murphy,

01:17:41.080 Democrat

01:17:41.380 Chris Murphy,

01:17:42.600 he's been

01:17:43.760 on TV

01:17:44.260 a lot.

01:17:45.560 You've seen

01:17:45.960 him doing

01:17:46.520 a lot of

01:17:46.860 anti-Trump

01:17:47.480 stuff and

01:17:48.140 he's just

01:17:48.500 all over

01:17:48.860 the place.

01:17:50.220 But the

01:17:51.360 thinking is

01:17:51.920 that he's

01:17:52.300 already running

01:17:52.980 a shadow

01:17:53.640 campaign for

01:17:54.440 president.

01:17:55.680 Now,

01:17:55.980 he would

01:17:56.260 not be an

01:17:56.720 outsider,

01:17:57.700 but he

01:17:58.500 would at

01:17:58.800 least be

01:17:59.300 let's

01:18:01.040 say

01:18:01.380 somewhat

01:18:03.400 skilled

01:18:04.160 insider.

01:18:05.940 But my

01:18:06.740 question is

01:18:07.360 this,

01:18:08.520 why do

01:18:09.040 the Democrats

01:18:09.620 have so

01:18:10.420 many people

01:18:11.960 who look

01:18:13.120 like movie

01:18:13.900 villains?

01:18:15.820 Because Chris

01:18:16.420 Murphy,

01:18:17.260 you just

01:18:18.100 look at his

01:18:18.640 eyes and

01:18:19.580 you say to

01:18:20.020 yourself,

01:18:20.940 oh my

01:18:21.380 God,

01:18:22.880 that's like

01:18:23.560 pure evil.

01:18:25.420 Now,

01:18:25.820 I'm not

01:18:26.100 saying he

01:18:26.560 is,

01:18:26.980 I don't

01:18:27.300 know,

01:18:27.680 one way

01:18:28.160 or the

01:18:28.360 other,

01:18:28.560 but he

01:18:29.600 has the

01:18:30.260 look like

01:18:31.400 if he

01:18:31.940 came into

01:18:32.440 the casting

01:18:33.400 office and

01:18:34.620 you were

01:18:34.820 looking for

01:18:35.260 the most

01:18:35.620 evil-looking

01:18:36.340 person you

01:18:36.900 could ever

01:18:37.220 hire for

01:18:37.720 your movie,

01:18:38.580 I'm pretty

01:18:39.360 sure he

01:18:39.800 would get

01:18:40.120 the job.

01:18:42.040 And I

01:18:43.720 don't really

01:18:44.300 know,

01:18:44.800 are there a

01:18:45.380 lot of

01:18:45.780 Republicans

01:18:46.380 who look

01:18:48.220 like they

01:18:48.640 could be

01:18:48.940 movie evil?

01:18:50.020 Think of

01:18:50.440 John Brennan.

01:18:51.180 John Brennan

01:18:54.340 has that

01:18:54.760 face.

01:18:57.300 That is a

01:18:58.200 movie evil

01:18:59.540 face.

01:19:01.220 Who's

01:19:01.480 that?

01:19:03.140 Aliana

01:19:03.700 Presley,

01:19:04.960 who's got

01:19:05.660 the shaved

01:19:06.400 head, which

01:19:07.080 she pulls

01:19:07.480 off, by

01:19:07.900 the way,

01:19:08.100 the shaved

01:19:08.480 head, and

01:19:09.540 she wears

01:19:10.660 the Superman

01:19:11.860 villain

01:19:12.400 outfits,

01:19:13.520 which actually

01:19:14.580 look great

01:19:15.060 on her.

01:19:15.400 If I'm

01:19:16.440 judging her

01:19:17.060 from a

01:19:17.640 fashion and

01:19:19.120 appearance

01:19:19.580 perspective,

01:19:20.340 she's actually

01:19:20.860 terrific.

01:19:21.780 I'm actually

01:19:22.620 impressed.

01:19:23.220 She does a

01:19:23.660 great job

01:19:24.320 of creating

01:19:25.860 a look.

01:19:26.860 But the

01:19:27.620 net effect

01:19:28.220 of the

01:19:28.540 look is

01:19:30.900 Superman

01:19:31.440 villain.

01:19:33.080 I've just

01:19:33.860 never seen

01:19:34.380 so many

01:19:34.860 people in

01:19:35.380 one party

01:19:35.980 who could

01:19:37.200 be cast

01:19:37.720 as movie

01:19:38.240 villains.

01:19:39.120 What is

01:19:39.780 up with

01:19:40.060 that?

01:19:41.900 Meanwhile,

01:19:42.700 Red State,

01:19:43.720 an article

01:19:44.480 by Bob

01:19:45.180 Hogue,

01:19:46.380 is talking

01:19:48.040 about how

01:19:48.520 Chuck Todd,

01:19:49.400 who was

01:19:50.320 on NBC

01:19:50.920 forever,

01:19:52.300 was just

01:19:52.980 dumping on

01:19:53.560 Biden for

01:19:54.720 being a

01:19:55.220 bad human

01:19:56.520 being,

01:19:56.980 basically.

01:19:58.160 He was

01:19:58.640 speaking with

01:19:59.120 Steve Schmidt,

01:20:00.000 who was one

01:20:00.560 of the

01:20:00.780 co-founders

01:20:01.480 of the

01:20:01.900 Lincoln

01:20:02.460 Project,

01:20:03.820 which I

01:20:05.560 think even

01:20:05.980 Steve Schmidt

01:20:06.600 had to get

01:20:07.100 out of that

01:20:07.660 because it

01:20:08.140 was just

01:20:08.440 so,

01:20:10.340 it was like

01:20:10.980 living in a

01:20:11.580 sphincter.

01:20:12.760 He had to

01:20:13.360 get away. 0.73

01:20:14.540 But here's

01:20:14.920 what Chuck

01:20:15.320 Todd said

01:20:15.880 about

01:20:16.300 Biden.

01:20:17.860 Of course,

01:20:18.280 it's too

01:20:18.640 little too

01:20:19.120 late,

01:20:19.560 but it's

01:20:20.640 fun to

01:20:21.060 talk about.

01:20:22.420 He goes,

01:20:23.040 I have to

01:20:23.380 tell you

01:20:23.680 something about

01:20:24.220 Joe Biden.

01:20:24.940 There's this

01:20:25.440 mythology about

01:20:26.520 Joe Biden

01:20:27.080 that the

01:20:27.960 man cared

01:20:28.720 so much,

01:20:29.440 it's all

01:20:30.020 bull,

01:20:30.800 bullshit.

01:20:33.760 And then

01:20:34.520 Todd said

01:20:35.080 that Biden

01:20:35.940 had created

01:20:36.620 this myth

01:20:37.380 over his

01:20:37.900 40-year career

01:20:38.680 that he was

01:20:39.220 an incredible

01:20:39.800 family man.

01:20:40.600 and instead

01:20:42.880 what he really

01:20:43.520 was,

01:20:43.860 was a

01:20:44.240 craven

01:20:44.640 political

01:20:45.160 animal

01:20:45.700 that was

01:20:46.840 desperate,

01:20:48.200 that considered

01:20:49.020 a run for

01:20:49.740 president every

01:20:50.580 four years

01:20:51.340 he was eligible.

01:20:53.060 Now,

01:20:53.280 I think part

01:20:53.700 of the

01:20:54.060 complaint was

01:20:56.320 he had

01:20:56.700 some family

01:20:58.260 issues,

01:20:58.940 some addicts

01:20:59.680 in the family

01:21:00.160 and the

01:21:01.100 thinking was

01:21:01.740 that his

01:21:02.100 family needed

01:21:02.760 him more

01:21:03.120 than the

01:21:03.560 country maybe.

01:21:05.660 But it's

01:21:07.240 interesting to

01:21:07.940 say,

01:21:08.560 to watch

01:21:08.960 Chuck Todd

01:21:09.680 talk that

01:21:10.240 way about

01:21:10.820 Biden.

01:21:11.820 And I think

01:21:12.500 what you're

01:21:12.940 going to find

01:21:13.380 is that

01:21:14.020 every day

01:21:14.680 that goes

01:21:15.140 by will

01:21:16.420 be another

01:21:17.320 Democrat

01:21:18.380 saying,

01:21:19.120 okay,

01:21:20.540 Biden was

01:21:21.240 just the

01:21:21.660 worst train

01:21:23.140 wreck in

01:21:23.580 the history.

01:21:24.340 He was

01:21:24.600 never good

01:21:25.200 behind closed

01:21:26.060 doors.

01:21:26.520 He was a

01:21:26.880 monster.

01:21:27.720 You're just

01:21:28.160 going to hear

01:21:28.500 the worst

01:21:29.040 things and

01:21:30.060 it's just

01:21:30.760 beginning.

01:21:31.960 It's going

01:21:32.460 to get worse.

01:21:34.320 Meanwhile,

01:21:34.860 and I

01:21:35.860 believe this,

01:21:37.140 Bloomberg's

01:21:37.720 reporting that

01:21:38.460 the Pentagon

01:21:39.200 denied a

01:21:40.120 report that

01:21:42.280 there was a

01:21:42.700 halt in

01:21:43.280 cyber operations

01:21:44.640 versus Russia. 0.66

01:21:46.680 Now,

01:21:47.060 remember,

01:21:47.680 I talked

01:21:48.180 about this

01:21:48.860 maybe yesterday

01:21:49.920 and I was

01:21:52.260 thinking that

01:21:52.900 maybe if it

01:21:53.980 were true

01:21:54.520 that it was

01:21:56.280 just offensive

01:21:57.020 operations

01:21:57.760 and that it

01:21:59.620 might have

01:21:59.980 been a mutual

01:22:00.620 thing and

01:22:01.400 maybe it was

01:22:02.120 a trust

01:22:02.680 building thing

01:22:03.400 with Russia

01:22:04.020 to see if

01:22:05.020 we can get

01:22:05.440 to a bigger

01:22:05.960 deal.

01:22:07.040 But it's

01:22:07.600 more likely

01:22:08.240 since I

01:22:09.880 guess Secretary

01:22:10.500 Pete Hegseth

01:22:11.200 didn't do it.

01:22:14.360 So I think

01:22:15.200 Hegseth denied

01:22:16.200 that there was

01:22:17.260 any change

01:22:17.940 in cyber

01:22:18.740 versus Russia. 0.66

01:22:20.780 So if

01:22:22.780 Hegseth denies

01:22:23.680 it, I'm

01:22:24.300 going to

01:22:24.980 believe him.

01:22:26.460 And it

01:22:27.920 didn't really,

01:22:28.560 I guess the

01:22:28.980 report didn't

01:22:29.520 have the

01:22:30.040 kind of

01:22:30.320 backing that

01:22:31.060 you think.

01:22:31.760 So I'm

01:22:32.220 going to agree

01:22:32.900 with Bloomberg

01:22:33.460 on this.

01:22:34.520 I think that

01:22:35.040 was fake

01:22:35.520 news.

01:22:35.940 So anyway.

01:22:40.880 In other

01:22:41.260 news, RFK

01:22:42.260 Jr., he's

01:22:44.000 been trying

01:22:44.640 to, he

01:22:45.740 wants to

01:22:46.220 eliminate a

01:22:46.880 whole bunch

01:22:47.160 of harmful

01:22:47.620 additives in

01:22:48.500 food.

01:22:49.400 The big

01:22:50.100 reason that

01:22:51.060 you might

01:22:51.380 not want

01:22:51.980 to at the

01:22:52.640 moment, and

01:22:53.460 this is going

01:22:53.920 to be tough,

01:22:54.680 a tough

01:22:55.140 balance, is

01:22:56.420 that removing

01:22:57.020 food additives

01:22:58.000 for food

01:22:58.720 might make

01:23:00.540 them more

01:23:00.860 expensive,

01:23:01.720 which seems

01:23:03.080 counterintuitive,

01:23:04.200 right?

01:23:04.680 You'd think,

01:23:05.700 well, if we

01:23:06.360 don't have to

01:23:07.100 add all these

01:23:07.920 chemicals, we

01:23:09.380 can save money

01:23:10.220 on all these

01:23:11.420 chemicals.

01:23:12.460 But they must

01:23:13.340 have something

01:23:13.780 to do with

01:23:14.360 preserving food

01:23:15.920 longer, something

01:23:17.220 like that.

01:23:18.400 Maybe taste

01:23:19.260 better, I

01:23:19.800 don't know.

01:23:20.860 But the

01:23:23.060 thing that is

01:23:24.060 the major

01:23:24.720 driver of all

01:23:26.060 these chemicals

01:23:26.760 in your food,

01:23:27.480 this is based

01:23:28.140 on a story in

01:23:29.080 the LA Times,

01:23:30.500 is that it's

01:23:32.020 the way we

01:23:33.120 keep the food

01:23:33.740 cost down.

01:23:35.440 So, if

01:23:36.700 your administration,

01:23:37.760 the Trump

01:23:38.100 administration,

01:23:38.840 has promised

01:23:39.460 that food

01:23:40.460 prices will

01:23:41.360 be going

01:23:42.580 down, at

01:23:43.460 the same

01:23:43.840 time you've

01:23:44.380 got the

01:23:44.860 Make America

01:23:45.600 Healthy Again

01:23:46.580 efforts and

01:23:48.300 RFK Jr.

01:23:50.220 looking to

01:23:50.760 get rid of

01:23:51.180 these additives,

01:23:52.100 which would

01:23:52.920 make food

01:23:53.720 prices potentially

01:23:54.920 go up,

01:23:56.280 although I'm

01:23:57.240 not 100%

01:23:58.060 sure that's

01:23:58.700 true, but

01:24:00.180 that's what's

01:24:00.780 being reported

01:24:01.760 at the

01:24:02.160 moment.

01:24:03.140 So, I

01:24:05.420 wonder if

01:24:05.840 there's any

01:24:06.220 middle ground

01:24:06.780 there.

01:24:09.860 Because there

01:24:10.740 are people

01:24:11.020 like me who

01:24:12.120 would certainly

01:24:12.720 pay more to

01:24:14.500 have fewer

01:24:14.960 chemicals.

01:24:16.720 And maybe you

01:24:17.500 could let the

01:24:18.280 market decide.

01:24:20.400 market.

01:24:21.360 So, instead

01:24:21.820 of, let's

01:24:24.180 say, instead

01:24:25.900 of making

01:24:27.220 everybody get

01:24:28.080 rid of

01:24:28.380 everything, what

01:24:30.220 if you said

01:24:31.020 we want to

01:24:32.180 encourage people

01:24:34.000 who are in the

01:24:34.620 same market to

01:24:36.000 at least have

01:24:37.040 an option where

01:24:39.080 you don't have

01:24:39.740 the chemicals.

01:24:40.780 And then the

01:24:41.320 people can

01:24:42.100 choose.

01:24:43.480 And if enough

01:24:44.240 people choose

01:24:45.060 the ones that's

01:24:46.020 a little bit more

01:24:46.820 expensive, but

01:24:48.280 doesn't have

01:24:48.780 the health

01:24:49.320 problems, well

01:24:50.980 then the market

01:24:51.600 corrects, and

01:24:52.580 then that becomes

01:24:53.940 the less

01:24:55.000 expensive thing

01:24:55.780 over time.

01:24:57.900 But I wonder

01:24:58.780 if there's a way

01:24:59.340 to solve that.

01:25:00.060 Because it seems

01:25:00.780 like there's a

01:25:01.320 direct conflict

01:25:02.220 between making

01:25:03.500 the food safer

01:25:04.340 and making it

01:25:05.200 less expensive.

01:25:06.920 Here's a little

01:25:07.680 update on a

01:25:09.140 story that

01:25:09.620 interests me more

01:25:10.500 than maybe

01:25:11.380 most of you.

01:25:12.600 But do you

01:25:13.340 remember the

01:25:13.760 hockey stick

01:25:14.700 temperature

01:25:16.540 calculations for

01:25:17.680 climate change?

01:25:18.720 And Michael

01:25:19.100 Mann was 0.53

01:25:19.760 credited as

01:25:22.520 the person who

01:25:23.320 came up with

01:25:23.780 that.

01:25:24.040 And the idea

01:25:24.480 was that

01:25:25.000 temperatures would

01:25:26.020 increase over

01:25:27.100 time, but that

01:25:28.400 would be a point

01:25:29.020 where the

01:25:29.460 increase would

01:25:30.560 become multiplied.

01:25:32.800 So it would

01:25:33.560 go slow, slow, 0.88

01:25:34.780 slow, and then

01:25:35.420 wham, and it

01:25:36.260 would go straight

01:25:36.980 up like a

01:25:37.440 hockey stick.

01:25:39.920 Well, Mark

01:25:41.280 Stein writing

01:25:42.060 for the

01:25:43.480 publication,

01:25:44.160 National Review,

01:25:48.840 ended up in a

01:25:50.740 lawsuit because

01:25:52.320 I guess Stein

01:25:53.420 was criticizing

01:25:54.600 the hockey stick

01:25:55.800 data and

01:25:57.260 Michael Mann

01:25:57.800 wanted to

01:25:59.040 basically establish

01:26:00.700 it as

01:26:01.640 legitimate and

01:26:03.440 push back

01:26:04.140 against critics.

01:26:05.760 So there was

01:26:06.500 a lawsuit.

01:26:07.760 So Michael

01:26:08.200 Mann sued.

01:26:08.900 And I

01:26:12.140 may be getting

01:26:13.160 some of the

01:26:13.740 facts wrong

01:26:14.400 here because

01:26:15.220 there are a

01:26:16.600 couple of,

01:26:18.040 it looks like

01:26:18.700 maybe whatever

01:26:19.400 Mark Stein

01:26:20.160 did might

01:26:21.360 have been

01:26:21.680 separate but

01:26:22.600 related to

01:26:23.480 the National

01:26:24.140 Review.

01:26:25.460 So it

01:26:26.320 looked like

01:26:26.680 there might

01:26:26.940 have been

01:26:27.180 two legal

01:26:28.120 actions,

01:26:29.560 one against

01:26:30.140 the publication

01:26:31.020 and one

01:26:31.440 against the

01:26:32.120 author.

01:26:33.800 But there's

01:26:35.840 been some

01:26:36.220 movement.

01:26:36.840 Now it's

01:26:37.220 13 years

01:26:37.960 later and

01:26:41.000 a judge

01:26:41.520 has reduced

01:26:42.320 the $1

01:26:43.100 million

01:26:43.440 defamation

01:26:44.540 judgment,

01:26:46.320 which Mann

01:26:47.680 had won.

01:26:48.980 They reduced

01:26:49.640 it from

01:26:50.040 $1 million

01:26:50.520 to $5,000.

01:26:53.400 Now there's

01:26:54.300 an article by

01:26:54.940 Greg Piper

01:26:55.660 in Just

01:26:56.160 the News.

01:26:56.940 So I'll

01:26:57.740 recommend you

01:26:58.620 to that.

01:26:59.440 So look

01:26:59.740 for Just

01:27:00.240 the News

01:27:00.700 and look

01:27:01.580 for the

01:27:01.820 article by

01:27:02.460 Greg Piper

01:27:03.120 and you'll

01:27:03.700 get the

01:27:04.580 correct version

01:27:05.720 of this.

01:27:06.160 I think I'm

01:27:07.080 butchering it

01:27:07.680 a little

01:27:07.860 bit.

01:27:08.780 But on

01:27:10.640 top of

01:27:11.060 that, I

01:27:13.120 think that

01:27:14.120 separately the

01:27:15.020 National Review

01:27:15.820 had been in

01:27:18.460 court for the

01:27:19.100 same reason

01:27:19.680 and got to

01:27:21.360 it ended in

01:27:22.680 a summary

01:27:23.420 judgment in

01:27:24.280 National Review's

01:27:25.180 favor.

01:27:26.300 So the National

01:27:27.380 Review ended

01:27:28.120 up getting a

01:27:29.800 judgment in

01:27:30.380 which they

01:27:30.780 would be

01:27:31.160 paid half a

01:27:33.240 million dollars

01:27:33.860 in legal

01:27:34.360 fees.

01:27:35.840 So I'm

01:27:36.700 not positive

01:27:37.460 but does

01:27:38.180 this mean,

01:27:38.960 so I guess I

01:27:40.080 have a question

01:27:40.720 as much as a

01:27:41.480 statement,

01:27:42.600 does this mean

01:27:43.580 that Michael

01:27:44.120 Mann, the

01:27:44.700 scientist, the

01:27:45.680 one who created

01:27:46.260 the hockey stick

01:27:47.040 thing, and I

01:27:48.460 believe was the

01:27:49.560 one who kicked

01:27:50.060 off the

01:27:50.480 lawsuits, does

01:27:51.780 that mean that

01:27:52.540 instead of

01:27:53.320 winning a

01:27:53.800 million, he

01:27:54.660 got $5,000

01:27:55.640 and in the

01:27:58.680 process also

01:27:59.600 had to pay

01:28:00.180 half a million

01:28:00.920 to the other

01:28:01.740 side, which

01:28:04.360 would suggest

01:28:04.960 he came out

01:28:05.580 way behind,

01:28:06.900 even though he

01:28:08.080 won.

01:28:09.520 So he sort

01:28:10.340 of won a

01:28:11.400 little bit,

01:28:12.540 but it looks

01:28:13.840 like it became

01:28:14.720 a financial

01:28:15.740 nightmare,

01:28:17.100 basically.

01:28:18.720 So I guess

01:28:20.380 I could use

01:28:20.940 some fact

01:28:21.460 checking on

01:28:22.000 that, but

01:28:22.500 13 years,

01:28:24.940 a lot has

01:28:25.480 changed, or

01:28:26.740 let me put it

01:28:27.280 this way.

01:28:29.320 The whole

01:28:29.860 view of

01:28:30.920 climate change

01:28:31.660 is about

01:28:32.100 ready to

01:28:32.560 change.

01:28:34.080 So look

01:28:35.200 for big

01:28:35.660 changes in

01:28:36.320 that domain.

01:28:38.840 There's a

01:28:39.540 study, Sam

01:28:40.360 Jones is

01:28:41.120 writing in

01:28:41.520 the Washington

01:28:41.880 Post, that

01:28:43.060 science has

01:28:44.200 shown there's

01:28:44.760 a link

01:28:45.280 between

01:28:48.280 swearing and

01:28:49.920 pain

01:28:50.420 tolerance, and

01:28:52.720 that people

01:28:55.200 who swear

01:28:55.980 when they're

01:28:56.460 in pain,

01:28:57.660 like you

01:28:58.340 hit your

01:28:59.860 thumb with

01:29:00.660 the hammer

01:29:01.160 or something,

01:29:02.060 that the

01:29:02.740 swearing

01:29:03.360 decreases the

01:29:04.520 pain.

01:29:06.760 Now, this

01:29:07.640 is another

01:29:08.080 one of those

01:29:08.480 situations where

01:29:09.360 you could have

01:29:09.920 just asked

01:29:10.400 me.

01:29:11.160 You didn't

01:29:11.500 really have

01:29:11.920 to study

01:29:12.380 it.

01:29:13.400 Just ask

01:29:14.100 me.

01:29:17.200 Yeah, swearing

01:29:18.280 definitely helps

01:29:19.000 with pain.

01:29:20.520 Don't know

01:29:20.920 why.

01:29:22.260 There's a

01:29:22.620 story about

01:29:23.260 a Florida

01:29:23.740 man who

01:29:27.960 swallowed a

01:29:29.040 $760,000

01:29:31.660 diamond from

01:29:32.700 Tiffany's.

01:29:33.520 So he went

01:29:34.000 into Tiffany's

01:29:34.800 and must have

01:29:35.300 grabbed a

01:29:35.720 diamond and

01:29:36.240 swallowed it.

01:29:37.100 And so when

01:29:37.520 the police got

01:29:38.220 there, he

01:29:39.380 asked if he'd

01:29:40.060 be charged

01:29:40.600 for what's

01:29:41.180 in his

01:29:41.500 stomach.

01:29:43.720 And I

01:29:45.580 don't know

01:29:45.880 the legal

01:29:46.520 ins and

01:29:47.100 outs of

01:29:47.480 this, but

01:29:48.000 I think it

01:29:49.780 depends if it

01:29:50.460 was a duty-free

01:29:51.460 store.

01:29:54.820 Anybody?

01:29:56.020 No?

01:29:57.640 Duty-free?

01:29:59.660 All right,

01:30:00.400 I'll just

01:30:00.780 leave that

01:30:01.120 with you.

01:30:03.380 Meanwhile,

01:30:04.180 the Wall

01:30:04.860 Street Journal

01:30:05.280 is reporting

01:30:05.820 that Israel

01:30:07.380 is trying to

01:30:08.160 neutralize

01:30:08.880 what security

01:30:10.260 officials see

01:30:11.000 as a

01:30:11.720 Turkish-backed

01:30:13.320 Islamist 0.81

01:30:14.260 threat

01:30:14.860 trying to

01:30:16.000 unify

01:30:16.460 Syria.

01:30:17.740 To which

01:30:18.380 I say,

01:30:19.540 maybe I

01:30:20.100 don't understand

01:30:20.940 anything

01:30:21.380 about the

01:30:21.900 world,

01:30:22.840 but why

01:30:23.280 would Turkey 0.96

01:30:24.180 want to

01:30:26.460 put a

01:30:28.100 bunch of

01:30:28.620 Turkish-backed

01:30:30.240 radical

01:30:30.860 Islamist 0.81

01:30:31.840 unifying

01:30:33.000 Syria? 0.58

01:30:34.000 Does that

01:30:34.680 look like

01:30:35.180 something that

01:30:35.720 would work

01:30:36.120 out for

01:30:36.500 them in

01:30:36.840 the long

01:30:37.180 run?

01:30:38.820 That's

01:30:39.340 very

01:30:39.580 suspicious.

01:30:41.020 Anyway,

01:30:41.620 I just

01:30:42.240 don't know

01:30:42.540 how that

01:30:42.820 could possibly

01:30:43.420 work.

01:30:44.060 But hey.

01:30:44.860 All right,

01:30:45.100 my last

01:30:45.460 story.

01:30:46.600 Scientists

01:30:46.960 are trying

01:30:47.760 to revive

01:30:48.380 the woolly

01:30:48.980 mammoths.

01:30:49.520 they're

01:30:50.440 trying to

01:30:51.300 find a

01:30:51.700 way to

01:30:53.020 take some

01:30:53.960 woolly

01:30:54.300 mammoth

01:30:54.900 DNA that

01:30:56.260 they have

01:30:56.820 and put

01:30:57.880 it in

01:30:58.240 some kind

01:30:58.720 of, I

01:30:59.440 don't know,

01:31:00.540 Asian

01:31:01.000 elephant and

01:31:01.960 turn it

01:31:02.360 into a

01:31:03.420 woolly

01:31:03.880 mammoth in

01:31:05.420 the future.

01:31:06.320 Now,

01:31:07.120 they've made

01:31:08.080 some progress

01:31:08.920 because they've

01:31:09.460 created a

01:31:11.220 woolly

01:31:11.520 mice.

01:31:13.300 That's right.

01:31:14.080 they took

01:31:15.340 regular mice

01:31:16.120 and they

01:31:16.440 made them

01:31:16.880 woolly

01:31:17.200 with woolly

01:31:18.700 mammoth

01:31:19.260 genes of

01:31:20.520 some sort.

01:31:22.040 So,

01:31:22.960 if you'd

01:31:23.880 like a

01:31:24.420 woolly

01:31:25.280 mouse,

01:31:26.580 now,

01:31:27.380 talk about

01:31:28.560 a dangerous

01:31:29.140 experiment.

01:31:31.100 What would

01:31:31.500 happen if,

01:31:32.560 you know,

01:31:32.860 the mouse

01:31:33.640 stayed the

01:31:34.100 same size

01:31:34.600 as a mouse,

01:31:35.240 it was just

01:31:35.660 woolly?

01:31:36.580 But what if

01:31:37.040 they'd gotten

01:31:37.460 that just a

01:31:38.100 little bit

01:31:38.460 wrong?

01:31:39.860 Wouldn't

01:31:40.120 you have an

01:31:40.840 elephant-sized

01:31:41.820 mouse that

01:31:44.080 mouse?

01:31:44.520 Now,

01:31:44.920 that's just

01:31:47.280 what I need.

01:31:48.820 That's what I

01:31:49.500 need,

01:31:49.740 an elephant-sized

01:31:50.560 mouse.

01:31:52.360 What could

01:31:52.960 go wrong?

01:31:53.820 All right,

01:31:54.180 ladies and 0.98

01:31:54.580 gentlemen,

01:31:54.900 that's what I've

01:31:55.380 got for you

01:31:55.920 today.

01:31:56.680 Thanks for

01:31:57.120 joining.

01:31:57.620 I know we

01:31:58.000 went long.

01:31:58.800 I got stuff

01:31:59.520 to do.

01:31:59.960 I'm going to

01:32:00.200 say hi to

01:32:00.840 the people

01:32:02.760 on Locals

01:32:04.200 and the rest

01:32:05.940 of you.

01:32:06.340 Thanks for

01:32:06.680 joining.

01:32:07.040 I'll see you

01:32:07.620 tomorrow.

01:32:08.980 Same time,

01:32:09.960 same place.

Real Coffee with Scott Adams - March 05, 2025

Episode 2769 CWSA 03⧸05⧸25

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