Real Coffee with Scott Adams - Episode 2110 Scott Adams： Durham Report, Giuliani's ＂Girlfriend＂, Twitter Hit List, Patriot Front

00:00:00.000 Good morning, everybody, and welcome to the highlight of civilization.

00:00:08.880 It's called Coffee with Scott Adams, and you've never had a better time.

00:00:14.200 I've already been laughing my ass off talking to the people on the locals' platform,

00:00:20.280 but now we'll bring this goodness to YouTube and Spotify and everywhere else.

00:00:24.380 If you'd like to take this experience up, and I guarantee this will be one of the best

00:00:30.420 live streams you've ever seen, all you need is a cup or a mug or a glass, a tank or a chalice

00:00:35.300 or a canteen jug or a flask, a vessel of any kind.

00:00:39.280 Fill it with your favorite liquid, I like coffee, and join me now for the unparalleled pleasure.

00:00:45.180 It's the dopamine hit of the day.

00:00:47.300 It's the thing that makes everything better.

00:00:49.260 It's called the simultaneous sip.

00:00:51.540 It happens now.

00:00:52.720 Go.

00:00:54.380 Oh, I don't know where to begin, but let's begin on an update.

00:01:07.760 You remember we used to call them bums and hobos, but that was unkind.

00:01:12.100 Then they became the homeless, and that sounded a little over-specific, and then they became

00:01:17.820 the unhoused.

00:01:19.640 But now they are just the freedom crappers. 0.96

00:01:21.980 And now Los Angeles has apparently 69,000 freedom crappers who crap once a day on the 0.98

00:01:33.000 sidewalk. 0.94

00:01:33.380 And I was wondering, if this happens to San Francisco, we have this race every year 1.00

00:01:40.640 in San Francisco, it's called the Bay to Breakers, where they race from one side of the city to

00:01:46.100 the other, from the bay to the beach.

00:01:48.220 And I was thinking that you might need to change the name of the Bay to Breakers, because it's

00:01:55.720 going to look, you know, if you're watching it, it's going to look a little more like Irish 0.99

00:02:00.540 line dancing, because there'd be so many turds in the way between the bay and the beach.

00:02:08.280 There's going to be a lot of this.

00:02:09.260 So it looked like Irish line dancing, and I asked my followers on locals if they could

00:02:21.380 give me some kind of a new name for this race, because Bay to Breakers doesn't feel like,

00:02:27.500 I don't know, it just doesn't feel current, does it?

00:02:29.740 So instead of the Bay to Breakers, the best suggestion I got was a turd of hurdles.

00:02:37.980 Turd of hurdles.

00:02:40.740 I'll let that sink in.

00:02:42.540 No, it's not a herd of turtles.

00:02:44.380 That's completely different.

00:02:45.740 A herd of turtles would be a slow-moving bunch of group.

00:02:48.580 No, this is a turd of hurdles.

00:02:51.660 The turd hurdle.

00:02:53.560 All right, well, enough about that.

00:02:55.040 You know, everybody asks me, why don't you move out of California to that hellhole?

00:03:01.920 And I say, well, I mean, I'm open to it, but where would I go?

00:03:08.600 And one of the top places that people suggested was Austin, because it's in Texas, and Texas

00:03:14.520 is awesome, and Austin is the awesome place, well, one of them, one of the awesome places

00:03:20.080 in Texas, but it turns out that it's a Democrat-led city and has become a, well, kind of a freedom

00:03:28.640 crapper hellhole. 0.88

00:03:30.980 So it turns out Austin is going down the drain.

00:03:37.140 I feel sorry for Tim Ferriss, who moved out of San Francisco to Austin.

00:03:42.520 I feel like he did not hurdle enough turds.

00:03:45.620 He needs to hurdle a few more and maybe get to Florida or something.

00:03:48.580 I don't know what people do, but Austin doesn't look good anymore.

00:03:53.500 Yes, we will get to all the big news.

00:03:55.300 Don't worry.

00:03:56.720 Don't worry.

00:03:57.800 I'll get to all the big news.

00:03:59.360 It's coming.

00:04:00.900 Oh, it's coming.

00:04:02.080 It's a very newsy day, have you noticed?

00:04:05.940 Some of it is about me, it turns out.

00:04:10.060 So here's the update on remote workers.

00:04:12.240 So it turns out that as long as employment is good, the employees have more power than

00:04:20.020 when employment is low.

00:04:21.940 So employees really, really, really, really like working at home at least part of the week.

00:04:28.220 So the reversal of the trend, where it looked like people were going back to work, reversed

00:04:35.020 again.

00:04:35.440 So the employees were pushing back against the requirement to come to work, and successfully,

00:04:42.220 because they have the power given employment.

00:04:45.600 So it looks like something like half of office buildings are just going to stay empty most

00:04:52.180 of the time.

00:04:53.420 But you can't really get rid of them, can you?

00:04:56.200 Because it's the same office that half of the people are in.

00:04:58.800 So if it's half empty, but you still need it, it's going to take a while for people to

00:05:03.240 downsize.

00:05:04.860 But yeah, there's a big problem.

00:05:07.220 So I don't think people are coming back to the city the way they used to.

00:05:12.060 Yeah, we're going to turn them all into pickleball courts. 0.99

00:05:14.160 That's the best idea ever.

00:05:16.880 I'd turn at least some of them into public bathrooms, but that's just me.

00:05:23.100 So that's happening.

00:05:24.340 Keep an eye on that.

00:05:25.340 So there's a story today, and I don't know if I believe this or not, but apparently on

00:05:34.380 GitHub, there was a target list of conservative social media people that would be targeted by

00:05:44.220 the DNC and leftists.

00:05:47.580 And I thought to myself, well, that's interesting.

00:05:51.160 I think I'll look at that list just to see if I'm on it, right?

00:05:59.300 I mean, that was my first thought.

00:06:00.880 It's like, oh, shoot.

00:06:02.100 There's a list of people being targeted.

00:06:05.940 I'm number nine.

00:06:09.120 I'm in the top 10.

00:06:10.320 Five of the top 10, the people that I share it with, have either left Twitter on their

00:06:17.680 own, such as President Trump, or have been kicked off of Twitter.

00:06:22.660 I'm right behind Sidney Powell on the list of targets.

00:06:27.100 That's right.

00:06:28.120 I am right behind Sidney Powell on the top 10 list of conservative influencers that were

00:06:35.880 targeted for destruction.

00:06:37.040 Now, I think that it was specifically about the 2020 election.

00:06:43.440 Can you tell me what it was that I said about the 2020 election that would put me in the

00:06:48.840 top 10 of people that they need to target?

00:06:53.140 Do you remember a claim that I made about election fraud, some specific claims?

00:07:00.440 Do you remember any?

00:07:02.000 There weren't any.

00:07:02.940 No, I was the one who told you on day one that at least 95% of all the claims would be 0.98

00:07:08.760 bullshit. 0.98

00:07:09.720 I was the first person in the country to call bullshit on the Kraken. 1.00

00:07:15.540 First one. 0.99

00:07:16.940 There was nobody in the country who called bullshit before I did. 1.00

00:07:20.060 As soon as I heard it, I said, that's bullshit right there. 1.00

00:07:23.180 That's a whole bunch of bullshit right there. 1.00

00:07:24.860 Now, what do you think I'm going to do if I find myself targeted by powerful interests who 0.98

00:07:34.680 are trying to take me out for my opinions about the 2020 election?

00:07:41.280 So I tweeted this today.

00:07:44.100 Things we know are corrupt.

00:07:45.740 FBI, Department, DOJ, Intel Organizations, Congress, Big Pharma, FDA, experts, all kinds,

00:07:51.680 Biden crime family, and the entire media.

00:07:54.860 But, on the good side, things we know that are totally clean.

00:08:01.860 All 50 state election systems.

00:08:05.360 Good job, guys.

00:08:07.160 Good job.

00:08:09.000 All 50 election systems.

00:08:11.380 Clean as a whistle.

00:08:12.920 Now, I think we can all be proud of that, given that 100% of every other organization is corrupt

00:08:18.640 and we've proven it just this year.

00:08:20.180 So, you might say, that's highly unlikely, Scott, but I say, that's a sign of excellence.

00:08:29.420 That's a sign of excellence.

00:08:30.860 All 50 run by different organizations, and yet all 50, pristine.

00:08:37.500 Pristine.

00:08:40.780 I have no idea why they targeted me.

00:08:42.980 I don't know what's up with that.

00:08:48.060 So, that happened.

00:08:50.400 I don't know if that list is real, by the way.

00:08:53.260 So, the larger theme for today's live stream is that everything's a hoax.

00:08:59.260 And, I was trying to come up with a name for a political system that's entirely based on hoaxes.

00:09:07.380 Because that's what we are.

00:09:09.480 Our political system is now entirely based on hoaxes.

00:09:14.160 That's it. 0.98

00:09:15.660 There's not a real fucking thing happening anywhere. 0.99

00:09:18.780 It's all hoaxes. 0.99

00:09:20.740 So, we'll talk about that.

00:09:22.140 But, I don't know if this Twitter list of targeted accounts is real.

00:09:30.520 But, somebody put me in the top ten with some pretty interesting cast of characters there.

00:09:38.480 All right.

00:09:41.820 So, we're going to talk about the Patriot Front and Rudy Giuliani.

00:09:46.180 And, we're going to talk about the new, what you call it, report.

00:09:52.660 The Durham report.

00:09:54.280 But, before I do that, I should warn you that we need to be alert.

00:10:02.320 Here's the good news that comes with the bad news.

00:10:04.880 The bad news is we found out that everything was corrupt.

00:10:08.460 Just everything.

00:10:10.120 Like, everybody was corrupt.

00:10:12.720 The good news is you can spot it much easier now.

00:10:16.180 Because, you can see how it's done.

00:10:18.740 You can spot the tells.

00:10:20.700 Right?

00:10:21.740 If tomorrow you saw a video that you knew was a real video.

00:10:26.800 And, it showed somebody doing, some Republican, saying something terrible.

00:10:32.560 What's the first thing you'd say to yourself?

00:10:35.240 Whatever that terrible thing is and whoever said it.

00:10:37.280 What's the first thing you'd say?

00:10:40.280 What did they, what did they edit out?

00:10:43.240 What did he, what did he or she say just before that?

00:10:46.680 And, what did he or she say right after that?

00:10:49.720 Because, that's the part they don't show you.

00:10:51.900 Because, that probably gave you the context, which changed the meaning.

00:10:55.820 So, I'm not sure we would have known that ten years ago.

00:11:00.520 Ten years ago, I think I would have just taken the video at face value.

00:11:03.600 But, now we know it's so common to create news by clipping off a part of a video, that I would assume it's a fake video.

00:11:14.360 My first assumption of any video that's super, super on the nose embarrassing, like it's just too close to somebody's narrative, first assumption is fake.

00:11:24.940 Right?

00:11:25.660 I hope you're all with me.

00:11:26.820 Now, you should make that starting assumption, but then look into it.

00:11:31.180 It could be real.

00:11:32.820 You know, you want to find out.

00:11:34.240 But, your starting assumption should be fake.

00:11:37.540 Now, don't we know, given all the hoaxes we've seen, that there is one being ginned up right now?

00:11:46.680 Now, don't you know there's some major hoaxes that are brewing?

00:11:51.100 And, maybe we already saw them.

00:11:52.620 We'll talk about them.

00:11:54.060 Right?

00:11:54.980 But, be ready, because you have to spot the next one.

00:11:59.500 There's going to be another Russia collusion-like hoax.

00:12:02.740 Not about Russia, necessarily.

00:12:04.620 Maybe.

00:12:05.580 But, it'll be of that size.

00:12:08.900 And, it's coming.

00:12:10.020 And, it's coming for sure.

00:12:11.800 And, I want us all to spot it the minute it gets here.

00:12:15.360 Right?

00:12:15.800 Because, we haven't been good at that before.

00:12:18.840 We want to laugh at it when it arrives.

00:12:21.440 Like, actually just laugh out loud.

00:12:23.400 It's like, nice try.

00:12:24.760 That's a little bit too on the nose.

00:12:27.820 So, speaking of that, I think it's one day after, or two days after Biden gave his speech,

00:12:35.800 in which he said white supremacy is the big terrorist risk in the United States.

00:12:40.600 I think people on the right are taking him out of context.

00:12:44.180 He didn't say it's the biggest risk to the United States.

00:12:48.100 People are saying that's what he said.

00:12:49.660 He didn't say that.

00:12:50.620 He said the biggest terrorist risk.

00:12:53.180 No, he said the biggest domestic terrorist risk.

00:12:56.920 What's the second biggest domestic terrorist risk after white supremacy?

00:13:03.760 What's the second biggest?

00:13:07.520 There's no domestic terrorist risk.

00:13:10.680 There is none.

00:13:11.620 Yeah, maybe.

00:13:15.100 Maybe.

00:13:15.840 Maybe white supremacy is number one on a list of totally unimportant, smallish things that

00:13:22.140 aren't likely to happen very much in the future.

00:13:25.140 It's a hoax.

00:13:26.020 Which is not to say that there have not been bad things that some alleged white supremacists did.

00:13:34.780 But right after that, the Patriot Front, who everybody on the right believes is a fake group

00:13:42.140 pretending to be on the right, as I saw today, there was Elijah Schaefer who was saying that he knows

00:13:50.400 basically everybody in the Republican conservative world, like every group.

00:13:56.460 He knows at least somebody, or he knows somebody who knows somebody, everywhere.

00:14:00.920 But he says, I've never met anybody who knows anybody in the Patriot Front.

00:14:04.660 Anybody.

00:14:07.720 Like, I've personally talked to people in the Proud Boys.

00:14:13.160 How many of you have had, or at least know, somebody who knows somebody in the Proud Boys?

00:14:19.880 Right?

00:14:20.520 It's very common.

00:14:21.480 If you're associated with the right, you probably know somebody.

00:14:24.440 Maybe not personally.

00:14:25.980 But, you know, I've talked to Gavin McGinnis.

00:14:28.420 I did an interview with him years ago.

00:14:30.880 But the Patriot Front, I've had no contact.

00:14:35.360 In any way, directly or indirectly, with the Patriot Front.

00:14:39.780 It's a little unusual, because they get a lot of publicity, don't they?

00:14:43.160 Now, I know that they wear masks, and they're trying to be secretive.

00:14:46.380 But they put out this video where it alleges to show them when the camera is not supposed to be running.

00:14:55.300 But it's obvious that they're acting, and they know the camera is running.

00:14:58.940 So they do their little white supremacist salute or whatever.

00:15:03.320 And then as they're done, instead of acting like normal people when they finish something,

00:15:09.240 they act like actors who are acting like they finish something.

00:15:12.460 It was just terrible acting.

00:15:14.540 It was very obvious acting.

00:15:16.500 And then one of them says some Nazi thing.

00:15:18.580 So that's the payoff.

00:15:21.440 Oh, we got them on.

00:15:22.740 They didn't know the camera was running.

00:15:24.780 So we got them on some Nazi stuff.

00:15:27.940 Completely fake looking.

00:15:29.200 Now, I'm willing to believe I could be wrong about anything.

00:15:35.160 But if I'm wrong about this, I'll be really surprised.

00:15:38.900 This looks entirely like a hoax.

00:15:41.380 It looks like a long-running hoax.

00:15:43.320 Because they just drag these people out whenever they need to move the narrative a little bit.

00:15:48.580 So I would say that the Patriot Front is part of it.

00:15:52.620 But then there was also this story about Rudy Giuliani,

00:15:56.280 who is an ex-girlfriend who also did PR work for him.

00:16:02.340 And she alleges that he tricked her into sex and forced her to perform on demand whatever he wanted

00:16:12.040 and some icky stuff like that.

00:16:16.320 We don't care about any of that.

00:16:17.960 But one of the things that she is alleging is that Rudy Giuliani was offering to sell pardons.

00:16:27.540 And he was working with Trump.

00:16:29.520 And that they would charge $2 million for a pardon.

00:16:32.020 And then Giuliani and Trump would each keep a million.

00:16:36.580 And allegedly he told his girlfriend this.

00:16:39.360 And then now she's telling the public.

00:16:42.040 Does that sound true to you?

00:16:44.880 Or does that sound like an obvious hoax?

00:16:48.460 A little too close?

00:16:51.160 A little bit too close?

00:16:53.000 Do you think that Rudy Giuliani,

00:16:55.640 even if he were doing some kind of scheme like this,

00:16:59.340 do you think he would just say it directly to his girlfriend and give dollar amounts?

00:17:04.440 Do you think he'd give dollar amounts to his girlfriend? 0.99

00:17:07.680 I don't think so.

00:17:10.240 I don't think so.

00:17:11.200 Do you think that Trump would sell pardons to make a few extra million dollars when everybody's watching?

00:17:21.200 Do you think so?

00:17:23.760 Now, it wouldn't surprise me if somewhere in the history of the world somebody sold a pardon.

00:17:29.180 That doesn't sound too surprising.

00:17:32.140 But Trump was already a billionaire.

00:17:34.360 Do you think he needed $5 million more at the risk of that?

00:17:41.140 The gigantic risk?

00:17:43.340 He's the most vetted person ever.

00:17:46.080 Anyway, so there's nothing about this that looks real.

00:17:50.000 So that looks like a hoax to me. 0.98

00:17:53.300 And I'm a little bit curious about a woman who would have what must have been the hideous sex with Rudy Giuliani. 0.90

00:18:03.300 Because she was younger and attractive.

00:18:05.140 I don't know how young, but they were not in the same age class.

00:18:09.540 And she did this continuously.

00:18:13.240 And now she's, you know, she's whistleblowing. 0.90

00:18:18.900 Or I guess she was whistleblowing then, you could say.

00:18:22.100 But does she sound like a real person or somebody who might have a backer?

00:18:27.940 She sounds a little bit like somebody who has a backer.

00:18:33.280 You know what I mean?

00:18:35.300 A backer who said, you know, if you would just get close to this guy,

00:18:41.200 we would make sure that your life turns out pretty well after that.

00:18:46.160 You know, come up with some good stuff.

00:18:48.660 Yeah.

00:18:49.260 So it's a little bit sketchy.

00:18:51.000 So I don't believe anything about the Rudy Giuliani story. 0.97

00:18:54.380 Except that he probably had a lot of sex with her. 0.97

00:18:56.920 That's probably true. 0.99

00:18:59.480 Speaking of sex,

00:19:01.320 it turns out that the number of young men and women having sex is way down.

00:19:06.860 So between 2007 and 2017,

00:19:10.660 the percentage of 18 to 23-year-olds who had casual sex in the past month

00:19:15.440 dropped from 38% to 24.

00:19:19.920 And within women, or young women, I guess,

00:19:24.180 dropped from 31% to 22.

00:19:26.920 Now,

00:19:29.160 that doesn't mean there's less sex.

00:19:35.060 That means there are fewer people participating in it.

00:19:38.760 Am I right?

00:19:40.040 Because I think there might be more sex.

00:19:42.420 It's just that the people who can get it are having it,

00:19:44.980 and the people who are left out are having none. 0.98

00:19:46.640 And so I think the world is just bifurcated into basically total cum sluts 1.00

00:19:52.980 and people who can't get a date. 0.98

00:19:56.100 And that's it.

00:19:57.540 It was like nothing in the middle.

00:19:58.720 That's an exaggeration.

00:20:02.660 All right, let's talk about our corrupt government.

00:20:05.780 Apparently a whistleblower saying that the IRS investigation into Hunter Biden

00:20:11.160 was ended and the entire investigative team

00:20:14.960 that was doing a multi-year tax fraud investigation were all let go.

00:20:19.020 The entire team, including the whistleblower.

00:20:23.400 Is that because they had an answer and there was nothing to see here?

00:20:27.020 We still don't know if Hunter or any of the family members paid any taxes

00:20:32.600 on any of the alleged payments.

00:20:38.300 So doesn't that look like an obvious corruption?

00:20:44.780 Like really super obvious.

00:20:47.460 Is there any other way to interpret that

00:20:49.740 than Hunter didn't pay his taxes?

00:20:51.660 I don't know how to, how could you,

00:20:54.020 how could you come up with any other interpretation?

00:20:57.540 Because if the interpretation, the correct interpretation was

00:21:00.860 there was nothing to see here, they would have told us.

00:21:04.520 Wouldn't they say the IRS looked into it, there was nothing to see here?

00:21:08.520 Because you'd want a clear Hunter, right?

00:21:10.860 Yeah, everything's copacetic, it's all good.

00:21:12.940 But no, they don't tell us everything's okay,

00:21:16.160 they just fire everybody who's looking for something bad for multiple years.

00:21:20.280 That's a little bit suspicious.

00:21:23.260 A little bit suspicious.

00:21:25.400 So you're asking, is it too on the nose?

00:21:28.420 Good question.

00:21:29.740 Is it too on the nose

00:21:31.000 that, you know, the whole group got fired?

00:21:37.360 It feels like,

00:21:39.100 it feels like it would be weird if that's true.

00:21:44.420 But, remember, this is all in the context

00:21:46.520 of a whole bunch of other things that are clearly corrupt.

00:21:48.840 So it would just be one more corrupt thing

00:21:51.440 in the long list of corrupt things.

00:21:55.340 Well, let's talk about the Durham report.

00:21:57.600 Five years later, 300 pages later.

00:22:01.900 Would you be surprised to find out

00:22:04.060 that although the report is shocking,

00:22:07.900 that the people on the left have decided

00:22:10.440 it's not really much news at all?

00:22:12.820 Not much news at all.

00:22:14.760 In fact, we can move on after we give it a,

00:22:16.560 we'll just brush on it.

00:22:19.220 Yeah, maybe mention some of the highlights,

00:22:20.820 but it's not much news here.

00:22:23.440 So here's how the right is interpreting it.

00:22:27.300 We now have documented proof

00:22:29.720 that the FBI and the Department of Justice

00:22:33.220 were actively doing unprofessional things

00:22:37.320 to bias the outcome of the,

00:22:40.980 well, which had the effect,

00:22:42.680 had the effect,

00:22:43.960 because we can't read their minds,

00:22:45.540 had the effect of changing the outcome of the election.

00:22:49.920 Now, apparently it's a little complicated

00:22:51.800 because they had also done some stuff against Hillary. 0.87

00:22:55.700 So if you say to yourself,

00:22:57.100 oh, they were totally in the bag for the Democrats,

00:22:59.820 it'd be a little hard to explain

00:23:01.100 why they were investigating Hillary.

00:23:02.580 They actually had a spy in her campaign 0.95

00:23:04.340 because it was some specific allegation

00:23:06.480 of maybe taking foreign money,

00:23:09.420 which, of course,

00:23:10.420 which, of course, they didn't find anything

00:23:13.280 and they canceled it.

00:23:14.480 So maybe it's an example of them protecting Hillary.

00:23:17.600 Oh, yeah, we have a spy there,

00:23:19.580 and, yeah, so we looked into it,

00:23:22.280 but the spy didn't find anything,

00:23:24.500 so there wasn't anything there.

00:23:27.000 So it could be

00:23:28.140 that even the fact that Hillary was investigated

00:23:31.020 was also fake.

00:23:33.520 In other words, maybe they didn't try.

00:23:36.300 So the left is saying

00:23:41.500 nobody's being indicted,

00:23:44.420 no additional people,

00:23:46.140 so nobody's being indicted additionally,

00:23:48.640 and it's all news that we already knew,

00:23:51.460 and, yes, the FBI was unprofessional,

00:23:54.700 and, yes, according to Durham,

00:23:56.640 there may have been some confirmation bias,

00:23:59.560 which caused them to ignore their own standards

00:24:03.260 and make an investigation on something

00:24:05.860 that did not have the prerequisite evidence

00:24:09.560 that you needed an investigation.

00:24:13.480 So on one hand,

00:24:14.800 it looks like an obvious coup attempt

00:24:16.820 against the United States that worked.

00:24:19.840 One of two.

00:24:21.120 As you could say,

00:24:21.720 the other coup attempt

00:24:22.520 was the 51 intel people

00:24:24.160 who said the laptop

00:24:25.280 was Russian disinformation.

00:24:28.080 So now we have two examples

00:24:29.200 of something that looks,

00:24:31.480 by the outcome,

00:24:33.580 to be a coup,

00:24:35.220 coup attempts.

00:24:36.260 Basically,

00:24:37.680 the FBI and Department of Justice

00:24:40.520 trying to influence

00:24:42.020 the outcome of an election.

00:24:43.880 However,

00:24:45.300 there's no smoking gun.

00:24:46.860 Apparently there's no evidence

00:24:49.580 of anybody colluding to do it.

00:24:53.200 Now, I'm not saying

00:24:53.860 they didn't collude.

00:24:55.260 I'm saying Durham didn't find

00:24:57.600 the direct evidence there.

00:24:59.600 So it looks like a bunch of people

00:25:01.160 making a bunch of decisions

00:25:02.680 under confirmation bias.

00:25:07.860 Now, to be fair,

00:25:10.720 Durham said

00:25:11.480 that was the most charitable explanation.

00:25:13.860 So the best you could say

00:25:16.900 was confirmation bias,

00:25:18.620 meaning a normal thing

00:25:20.240 that happens to brains.

00:25:21.760 You think you're right,

00:25:22.680 so you act that way

00:25:23.440 even though the evidence

00:25:24.220 didn't support it.

00:25:26.080 What he didn't find

00:25:27.500 is a deep state conspiracy

00:25:29.680 that was specifically

00:25:31.000 targeting Trump.

00:25:33.960 It just looked exactly like it.

00:25:38.860 Now, this gets us

00:25:40.180 to the George Carlin

00:25:42.520 definition of a conspiracy.

00:25:47.120 So as George Carlin points out,

00:25:49.320 you don't have to have a meeting

00:25:50.620 if everybody knows what to do.

00:25:54.200 Right?

00:25:55.180 You don't have to have a meeting.

00:25:57.160 Don't make a phone call.

00:25:58.420 Don't send a text.

00:25:59.840 Everybody knows what to do.

00:26:01.720 Get Trump

00:26:02.380 any way you can.

00:26:04.680 So,

00:26:05.360 I'm not sure

00:26:07.060 I'm buying the

00:26:08.000 confirmation bias

00:26:09.640 is all that was there

00:26:10.620 even though

00:26:11.460 that's all they could find.

00:26:12.880 These were all

00:26:13.740 high-end smart people

00:26:16.080 who knew not

00:26:17.380 to write things down.

00:26:19.900 Right?

00:26:20.880 And a whistleblower

00:26:21.940 would probably

00:26:22.520 be in a lot of trouble too.

00:26:24.380 So,

00:26:24.920 I don't think

00:26:27.300 you can rule out

00:26:28.160 conspiracy.

00:26:30.100 It's just

00:26:30.580 you can't find it.

00:26:33.120 So,

00:26:33.700 I won't say

00:26:34.220 that anybody's guilty

00:26:35.200 of conspiracy

00:26:35.780 because, you know,

00:26:36.600 innocent until proven guilty.

00:26:37.820 But it looks like it.

00:26:40.400 Sure looks like it.

00:26:42.020 Conspiracy.

00:26:45.040 So,

00:26:45.660 here are some of the comments

00:26:46.560 that CNN made.

00:26:48.100 This is Jake Tapper.

00:26:49.800 He said that

00:26:50.860 it exonerated Trump

00:26:52.900 somewhat.

00:26:54.780 So,

00:26:55.220 there is some recognition

00:26:56.120 that Trump

00:26:57.500 was somewhat

00:26:58.300 exonerated

00:26:59.120 in the sense

00:26:59.820 that people

00:27:00.320 were after him

00:27:01.160 and not treating him

00:27:01.940 fairly.

00:27:02.200 That appears

00:27:03.340 to be

00:27:04.040 completely true.

00:27:05.500 They were after him

00:27:06.460 and not

00:27:06.860 treating him fairly.

00:27:10.180 Jake Tapper

00:27:10.960 said it was also

00:27:11.680 devastating

00:27:12.460 for the FBI.

00:27:14.940 But,

00:27:15.840 in typical

00:27:17.800 Dilbert

00:27:18.460 bureaucratic form,

00:27:20.640 what happened?

00:27:21.940 Well,

00:27:22.300 it took five years

00:27:23.360 to look into it

00:27:24.280 and get this report.

00:27:25.980 In those five years,

00:27:27.660 all the people

00:27:28.340 involved

00:27:28.880 or most of them

00:27:29.560 left.

00:27:29.920 and the FBI

00:27:32.160 made some changes

00:27:33.420 because they already

00:27:34.480 had this information

00:27:35.420 themselves,

00:27:36.260 made some changes

00:27:37.340 which they say

00:27:38.100 will prevent it

00:27:38.800 from happening again.

00:27:40.460 Problem solved,

00:27:41.440 right?

00:27:42.480 The people involved

00:27:43.560 are not there anymore

00:27:44.520 and the FBI

00:27:46.840 put in some procedures

00:27:47.920 to make sure

00:27:48.520 it doesn't happen again.

00:27:50.020 So,

00:27:50.280 problem solved.

00:27:51.200 There's no news here.

00:27:52.980 Moving on.

00:27:54.280 No crimes,

00:27:55.520 no news,

00:27:56.800 problem solved.

00:27:57.980 Those people

00:27:58.440 aren't here anymore.

00:28:00.200 Eh,

00:28:00.580 probably a little

00:28:01.200 confirmation bias.

00:28:02.600 Glad we got to the

00:28:03.380 bottom of it.

00:28:03.900 Moving on.

00:28:04.700 Moving on.

00:28:07.940 Nobody will be punished.

00:28:10.580 Or at least more

00:28:11.360 than they have been.

00:28:12.100 Some people lost

00:28:12.740 their jobs.

00:28:16.080 All right.

00:28:16.860 And then,

00:28:17.860 you know,

00:28:18.040 no surprises.

00:28:19.060 Yes,

00:28:19.340 there were no surprises

00:28:20.120 here.

00:28:20.520 We already knew

00:28:21.200 this basically.

00:28:22.160 Basically,

00:28:22.360 so this is,

00:28:27.540 you know,

00:28:27.740 again,

00:28:28.460 it's two movies

00:28:31.140 on one screen.

00:28:32.640 So we're all looking

00:28:33.660 at exactly the right stuff

00:28:35.040 and the fact that

00:28:36.660 it's not technically illegal.

00:28:39.520 Now,

00:28:40.020 let me ask you this.

00:28:40.700 Would it be illegal

00:28:41.540 to actually organize

00:28:42.840 a hoax?

00:28:45.380 I mean,

00:28:45.900 you can get fired for it,

00:28:47.020 of course.

00:28:48.340 But if the FBI

00:28:49.140 and the Department

00:28:49.720 of Justice

00:28:50.240 organized a hoax,

00:28:53.240 is that illegal?

00:28:56.080 As long as they

00:28:57.080 can sell it as

00:28:57.900 something they

00:28:58.400 believed was true.

00:28:59.880 If they can sell it

00:29:01.000 as something they

00:29:01.700 believed was true,

00:29:03.040 then you get

00:29:04.020 the Durham report

00:29:04.840 which says,

00:29:05.460 well,

00:29:05.580 it's a little

00:29:05.880 confirmation bias,

00:29:07.460 but that's not illegal.

00:29:09.520 It's not illegal

00:29:10.440 to be wrong.

00:29:12.060 Oh, yeah,

00:29:12.600 they were wrong.

00:29:14.280 That's all we could prove.

00:29:17.920 All right.

00:29:22.100 Just to round out

00:29:23.440 my talk about

00:29:26.080 how everything

00:29:26.780 is corrupt,

00:29:28.440 apparently there was 0.94

00:29:29.260 a massive missile barrage

00:29:31.900 by Russia

00:29:33.180 into Ukraine

00:29:33.940 last night,

00:29:34.820 into Kiev.

00:29:36.620 Massive barrage.

00:29:38.720 And the news says

00:29:39.900 that Ukraine 0.91

00:29:40.700 intercepted

00:29:41.960 and shot down

00:29:42.620 every one of them. 0.99

00:29:44.520 Every one of them.

00:29:46.480 Got them all.

00:29:48.820 What's Russia say?

00:29:51.140 Every one of the missiles

00:29:52.440 hit their target.

00:29:55.260 Every one.

00:29:56.380 All 18.

00:29:58.220 Got their targets.

00:30:01.000 Which one of those

00:30:01.940 is true?

00:30:03.760 Probably neither,

00:30:04.720 right?

00:30:05.440 Probably they got some,

00:30:06.800 some got through,

00:30:07.580 but we don't know.

00:30:09.000 We don't know.

00:30:10.700 But that's the state

00:30:12.620 of information.

00:30:14.040 You can get the thing

00:30:15.820 and the opposite

00:30:16.500 of the thing

00:30:17.140 at the same time.

00:30:19.840 So did you wonder

00:30:20.840 how Russia

00:30:21.420 is staying afloat

00:30:22.800 with all those sanctions?

00:30:25.120 So part of it is

00:30:26.440 they're selling

00:30:27.000 their oil to India

00:30:28.520 and then India

00:30:30.280 is refining it

00:30:31.200 and selling it

00:30:31.820 into Europe.

00:30:33.020 So basically,

00:30:33.840 Russia is still 0.97

00:30:35.740 selling to Europe.

00:30:37.260 Now,

00:30:38.800 I told you that,

00:30:40.740 and I guess

00:30:41.600 I'm still the only person

00:30:42.580 in the world

00:30:42.920 saying this,

00:30:44.000 that the Ukraine-Russia 0.60

00:30:45.840 war is over.

00:30:48.020 The war is over.

00:30:50.500 Trump made it clear

00:30:51.940 that it's now

00:30:52.840 a negotiation.

00:30:54.700 And nobody's

00:30:55.620 going to win anything.

00:30:56.980 And when he wins,

00:30:58.120 which statistically

00:30:59.460 looks like it's

00:31:00.300 a good bet,

00:31:01.780 when he wins,

00:31:02.860 he's going to end it

00:31:03.820 just by putting

00:31:04.720 enough pressure

00:31:05.320 on both sides

00:31:06.100 that they're

00:31:07.780 better off ending it.

00:31:09.500 So at this point,

00:31:10.420 they're just negotiating

00:31:11.340 with weapons.

00:31:12.800 That's all it is.

00:31:14.280 Nobody's going

00:31:14.860 to win anything.

00:31:16.060 There's no winning

00:31:16.740 to be had.

00:31:20.360 But here's my

00:31:23.380 addition to that point.

00:31:26.180 If this were

00:31:27.160 a real war,

00:31:28.900 we would have

00:31:29.820 bombed India. 0.95

00:31:32.780 Am I right?

00:31:34.720 The minute we found

00:31:35.720 out that India 0.99

00:31:36.400 was refining the oil

00:31:37.640 and selling it

00:31:38.220 back to Europe, 0.65

00:31:39.140 which basically meant

00:31:40.300 that the sanctions

00:31:41.660 weren't working,

00:31:42.860 we would shut down

00:31:43.780 India.

00:31:44.680 We'd ask them first.

00:31:46.380 I mean,

00:31:46.660 first you'd ask politely

00:31:47.780 because they're an ally.

00:31:49.180 But then we would

00:31:51.140 take it out. 1.00

00:31:52.380 We'd just bomb it. 1.00

00:31:53.900 Bomb the refinery. 1.00

00:31:56.020 Because that's what 0.81

00:31:56.840 you do in a war.

00:31:58.720 This is clearly

00:31:59.460 not a war.

00:32:00.860 It's clearly

00:32:01.500 a negotiation.

00:32:02.940 In a negotiation,

00:32:03.660 you'd be like,

00:32:04.500 oh,

00:32:05.280 don't go too far.

00:32:06.960 But if you knew,

00:32:08.160 you know,

00:32:08.620 if you were playing

00:32:09.700 to win, 0.78

00:32:10.160 you'd bomb India's 1.00

00:32:11.200 production facility 0.98

00:32:13.080 and just take that

00:32:14.680 off the table.

00:32:15.680 Now,

00:32:16.100 it might also starve

00:32:17.040 Europe,

00:32:18.200 so it's complicated.

00:32:20.440 But it doesn't look

00:32:21.820 like a war to me.

00:32:22.840 It's definitely

00:32:23.840 a negotiation

00:32:24.620 at this point.

00:32:26.840 Here's another thing

00:32:27.760 that we thought

00:32:28.220 was true.

00:32:28.640 How many of you

00:32:30.860 for years

00:32:31.520 have learned

00:32:32.200 that people

00:32:33.380 have different

00:32:33.920 learning styles?

00:32:36.800 You assumed

00:32:37.320 that was just

00:32:37.820 basic and true,

00:32:39.020 right?

00:32:39.360 Because you know

00:32:39.880 you do.

00:32:40.760 Some people say,

00:32:41.640 oh,

00:32:41.760 I have to hear it.

00:32:43.580 Some people say,

00:32:44.500 I have to see it.

00:32:45.400 That's definitely true.

00:32:46.780 Definitely true.

00:32:47.680 Did you know

00:32:48.140 that the science

00:32:48.880 debunks all of that?

00:32:51.060 That if you teach

00:32:52.100 people according

00:32:52.780 to their preferred style,

00:32:54.580 you get no difference

00:32:55.900 in outcomes.

00:32:56.440 There is not

00:32:57.740 the slightest bit

00:32:58.820 of science

00:32:59.520 behind that.

00:33:00.560 None.

00:33:01.620 I learned that today.

00:33:03.400 No science,

00:33:04.460 and there never

00:33:04.980 has been.

00:33:06.240 There's never

00:33:06.740 been science.

00:33:08.080 And when they

00:33:08.740 decided to do

00:33:09.520 some science,

00:33:10.160 they couldn't

00:33:10.440 find any effect.

00:33:12.220 The whole thing 1.00

00:33:13.340 is bullshit. 1.00

00:33:14.520 People learn 1.00

00:33:15.360 exactly the same.

00:33:17.260 End of story.

00:33:19.400 How many decades

00:33:20.960 have I believed

00:33:21.660 that was true?

00:33:23.340 Decades.

00:33:25.060 Decades.

00:33:26.440 Never was true.

00:33:28.020 Never was true.

00:33:30.900 All right,

00:33:31.460 here's some good news,

00:33:32.860 bad news situation.

00:33:34.800 So as you know,

00:33:36.600 one of the biggest

00:33:38.560 buyers of stocks

00:33:40.040 in companies

00:33:40.820 are investment funds.

00:33:43.500 So Vanguard

00:33:44.200 and places like that,

00:33:46.460 because they buy,

00:33:47.440 on behalf of their clients,

00:33:48.560 they buy massive

00:33:49.480 amounts of stocks.

00:33:51.260 So the big investment

00:33:52.680 funds can own

00:33:53.700 big chunks of companies.

00:33:55.480 And now there's

00:33:57.140 a service

00:33:57.900 that is scoring

00:34:00.360 these investment

00:34:04.020 companies

00:34:04.540 for how much

00:34:06.320 they're adhering

00:34:07.060 to ESG.

00:34:10.240 And you say to yourself,

00:34:11.940 oh no,

00:34:12.560 not this again.

00:34:14.220 Right?

00:34:14.940 You're saying,

00:34:15.480 oh no,

00:34:16.900 not what you think.

00:34:18.380 It's the opposite

00:34:19.320 of what you think.

00:34:20.640 It's a list

00:34:21.500 so you can avoid them.

00:34:22.500 So I'm going to call out

00:34:27.360 Dominion,

00:34:29.380 which is not

00:34:29.920 the voting machine company,

00:34:31.640 but a fund,

00:34:33.340 and Vanguard.

00:34:34.720 So Vanguard gets an A,

00:34:37.420 an A rating

00:34:38.560 for not looking at ESG,

00:34:42.900 for avoiding ESG,

00:34:44.920 because the rating is

00:34:46.920 from the perspective

00:34:48.040 of the investors.

00:34:50.540 And the investors

00:34:51.280 are not asking

00:34:52.200 for more racial equality.

00:34:55.460 The investors

00:34:56.020 are asking for profits.

00:34:57.780 So they want to know,

00:34:58.600 if I put my money

00:34:59.340 in Vanguard,

00:35:00.360 is Vanguard going to invest

00:35:01.720 in a bunch of ESG companies,

00:35:03.600 or are they going to invest

00:35:04.700 in companies

00:35:05.440 that are going to make me money?

00:35:07.480 And now you can look

00:35:08.420 at the list.

00:35:09.660 And here's the interesting part.

00:35:10.920 You know,

00:35:11.160 BlackRock was the big pusher

00:35:12.620 of ESG.

00:35:14.320 They got a C rating.

00:35:17.260 You'd expect an F,

00:35:18.440 because they're the big

00:35:19.100 pushers of ESG.

00:35:20.740 But even BlackRock

00:35:22.260 says ESG has gone too far.

00:35:24.680 They can't invest in it,

00:35:26.400 because it's gone crazy.

00:35:28.820 Like,

00:35:29.060 there were some initial

00:35:30.060 good things,

00:35:31.000 which they backed completely.

00:35:33.480 But now the,

00:35:34.440 you know,

00:35:34.980 the activism has reached

00:35:36.160 the crazy level,

00:35:37.440 where even BlackRock

00:35:38.860 is like,

00:35:39.320 hmm,

00:35:40.180 that's a little too ESG.

00:35:42.300 There's ESG,

00:35:43.260 and then there's

00:35:45.460 two ESG.

00:35:47.180 Now,

00:35:47.680 I've been calling

00:35:48.360 the peak of wokeness

00:35:49.860 for a while.

00:35:51.200 Do you see it yet?

00:35:53.560 Wokeness is a dead man walking.

00:35:56.140 There's still going to be

00:35:56.800 plenty of it

00:35:57.360 for a long time,

00:35:58.220 but we've definitely

00:35:59.160 reached peak.

00:36:00.960 We've reached peak,

00:36:02.120 and it's pulling back.

00:36:03.800 And you can see it

00:36:04.800 in the way people talk.

00:36:07.060 People can just say,

00:36:08.560 this is crazy now.

00:36:10.700 And you didn't used

00:36:11.720 to be able to do that. 0.63

00:36:12.560 You'd just be a racist.

00:36:14.760 And now you can just say,

00:36:15.660 all right,

00:36:15.820 this is too far. 1.00

00:36:16.960 This is just bullshit. 1.00

00:36:19.940 Did you see, 1.00

00:36:20.680 was it Miller Lite?

00:36:23.840 I couldn't tell

00:36:24.700 if that was real.

00:36:26.200 So Miller Lite

00:36:27.080 apparently has a campaign

00:36:28.860 to make a big deal

00:36:31.620 of getting rid

00:36:32.340 of the frat-like brand

00:36:35.260 that their beer had,

00:36:36.700 and they want to take down

00:36:38.480 all the bikini pictures

00:36:39.980 of women

00:36:40.560 that have ever been

00:36:41.860 associated with their beer 0.96

00:36:42.980 and burn them all. 0.91

00:36:45.260 And I just watched 0.98

00:36:47.600 that commercial,

00:36:48.500 and I thought to myself,

00:36:49.420 is this a parody?

00:36:51.380 Are they actually

00:36:52.420 making the mistake

00:36:53.580 of the last 100 years,

00:36:56.380 like the biggest mistake

00:36:57.620 you'd ever make?

00:36:59.060 And apparently,

00:36:59.680 they are,

00:37:00.560 because they hired a woman. 0.99

00:37:02.120 You've got to stop

00:37:06.440 hiring women 1.00

00:37:08.340 for men's products.

00:37:11.480 And likewise,

00:37:12.620 I'll say this again,

00:37:14.160 if Avon hired only women 1.00

00:37:16.260 as their executives,

00:37:17.460 I'm fine with that.

00:37:19.700 You know,

00:37:19.920 normally you'd want

00:37:20.880 more of an open mix

00:37:23.220 of people,

00:37:24.180 but if makeup

00:37:26.220 is the product,

00:37:27.920 yeah,

00:37:28.440 your executives

00:37:29.080 could all be women, 0.85

00:37:29.880 and I don't think

00:37:31.140 there's anything wrong

00:37:31.820 with that at all,

00:37:32.740 because they would

00:37:33.840 understand the area better.

00:37:36.320 I think that's the same

00:37:37.380 with beer.

00:37:38.960 You know,

00:37:39.180 it's not like women 1.00

00:37:39.820 don't drink beer,

00:37:41.180 but these specific products

00:37:42.900 were just sort of

00:37:43.740 guy products.

00:37:44.960 Get a guy.

00:37:48.280 I should tell you

00:37:49.340 that the Dilbert Reborn comic

00:37:51.020 that you can only see

00:37:52.020 by subscription now,

00:37:54.860 Dilbert's company

00:37:55.620 has a power tools division.

00:37:59.880 And they will be hiring

00:38:01.200 a woman to market 0.99

00:38:02.640 their power tools

00:38:03.700 going forward.

00:38:05.440 It doesn't work out.

00:38:07.660 It doesn't go well.

00:38:09.840 All right.

00:38:11.780 What else is going on here?

00:38:15.340 Yeah.

00:38:17.280 So here are the companies

00:38:18.740 that are investment companies

00:38:20.960 that got good scores

00:38:23.540 by ignoring ESG.

00:38:25.560 I'd just like to give

00:38:26.260 them a shout out.

00:38:27.040 Free advertising.

00:38:27.900 Here you go.

00:38:28.280 Dimensional, Vanguard,

00:38:31.260 T-Row Price,

00:38:33.100 Fidelity,

00:38:34.540 and then when you get

00:38:35.820 to the next level down,

00:38:37.400 it's actually BlackRock.

00:38:39.260 So BlackRock gets

00:38:40.540 an average score

00:38:41.760 for not being crazy

00:38:42.800 about the thing

00:38:43.440 that they promoted.

00:38:45.880 Just think about that.

00:38:47.960 BlackRock is getting a C,

00:38:49.920 which is way better

00:38:51.300 than it should have been.

00:38:52.160 It should have been an F

00:38:52.960 because they're the main

00:38:53.880 promoter of ESG.

00:38:55.120 but they have disavowed

00:38:57.800 their own thing so much

00:38:59.400 that they've got a C.

00:39:02.940 I mean, that's how

00:39:03.760 I interpret it.

00:39:04.580 That may be the wrong

00:39:05.360 interpretation,

00:39:06.140 but that's what it looks like.

00:39:09.960 All right.

00:39:10.540 Ladies and gentlemen,

00:39:16.640 it's a very newsy day.

00:39:17.840 Did I miss anything?

00:39:24.320 Fidelity is wicked smart,

00:39:25.600 you say?

00:39:27.280 James O'Keefe,

00:39:28.240 what's he doing lately?

00:39:29.460 Haven't heard much

00:39:30.380 from him lately.

00:39:30.960 All right.

00:39:38.720 What is the strategy?

00:39:43.740 New Twitter CEO,

00:39:45.220 not much to say.

00:39:48.380 Here's my take on the WEF.

00:39:52.940 It's sort of a leisure club

00:39:55.940 for rich people,

00:39:57.320 and if I were an executive

00:39:59.560 of a big corporation,

00:40:01.220 I'd probably go.

00:40:03.620 Would that make me

00:40:04.800 colluding with the

00:40:06.260 World Economic Forum

00:40:07.300 to be a surrogate government

00:40:09.480 and means I'm all for

00:40:11.140 everything that they want to do?

00:40:12.860 No.

00:40:13.840 No.

00:40:14.280 I would go there

00:40:15.060 to meet the other rich people

00:40:16.160 and network with them.

00:40:18.200 It just seems like

00:40:19.400 a pleasant place

00:40:20.700 to go network.

00:40:22.300 So now,

00:40:23.460 I believe that if you...

00:40:25.880 Here's my theory.

00:40:26.620 The World Economic Forum

00:40:29.540 is a whole bunch

00:40:30.420 of hugely successful people,

00:40:33.160 right?

00:40:34.540 Who have huge egos,

00:40:37.020 because that's just

00:40:37.640 how it works.

00:40:38.840 They're hugely successful.

00:40:40.200 They've got big egos.

00:40:41.680 Do you think you could get

00:40:42.660 that group of people

00:40:43.500 to agree on anything?

00:40:45.900 I mean, seriously.

00:40:47.560 You think that you could

00:40:48.660 get them to agree

00:40:49.540 on anything serious?

00:40:51.540 I don't think so.

00:40:52.540 I think you could only

00:40:55.440 get them to agree

00:40:56.620 to signal.

00:40:58.840 Hey, how would you all

00:40:59.820 look like...

00:41:00.460 Would you like to look

00:41:01.140 like good citizens?

00:41:02.740 Sure.

00:41:03.680 All right, we're going

00:41:04.280 to put out some

00:41:04.800 good citizen stuff,

00:41:06.580 like climate change.

00:41:07.820 You're going to fix it

00:41:08.760 and, you know, equity.

00:41:11.040 And you'll just all

00:41:12.080 just say you're good

00:41:13.180 with it, okay?

00:41:14.060 Yeah, sure.

00:41:15.320 Makes us all look

00:41:16.160 like stars.

00:41:16.920 Okay.

00:41:18.080 I think that the

00:41:18.920 World Economic Forum

00:41:19.800 is a nothing.

00:41:22.300 I just don't think

00:41:23.000 they have any

00:41:23.560 serious control

00:41:25.820 over anything.

00:41:26.940 I think that they

00:41:28.120 find a parade

00:41:29.260 and they get behind it.

00:41:30.960 They didn't create

00:41:31.840 the climate change stuff.

00:41:33.260 They just saw a parade

00:41:34.380 and got on it.

00:41:35.820 They didn't create

00:41:36.760 anything that Bill Gates

00:41:37.780 is doing.

00:41:38.700 I think they just

00:41:39.480 back it if they like it.

00:41:43.100 So that's my take.

00:41:46.220 I think the World Economic Forum

00:41:47.780 is more about the people

00:41:53.520 and doesn't matter

00:41:55.220 to us too much.

00:41:57.820 Follow the money.

00:42:01.940 Well, I do think

00:42:03.120 that they copied each other,

00:42:04.620 but it probably

00:42:05.000 would have happened anyway.

00:42:06.760 Yeah, I don't know

00:42:07.700 that the World Economic Forum

00:42:09.800 caused anything to happen.

00:42:12.100 I think that they were

00:42:12.940 just going with

00:42:14.160 whatever were

00:42:14.740 the cool trends

00:42:15.480 so they could get people

00:42:16.400 to come to their big event.

00:42:24.160 So let's talk about

00:42:25.900 the Bill Gates

00:42:26.920 spraying stuff

00:42:27.920 into the atmosphere

00:42:28.740 to change climate.

00:42:33.180 I wouldn't worry

00:42:34.120 about that too much

00:42:35.040 because it's just

00:42:37.800 on a long list

00:42:39.240 of things

00:42:39.760 that people have considered.

00:42:41.520 It's never going to happen.

00:42:43.560 And if it did,

00:42:44.320 it would be so well tested

00:42:45.500 that I don't think

00:42:46.000 you'd have to worry about it.

00:42:47.480 Of course,

00:42:47.800 they said that

00:42:48.240 about a lot of stuff.

00:42:49.520 What I mean by that is

00:42:50.600 we've been spraying things

00:42:51.940 into the atmosphere

00:42:52.640 for a long time,

00:42:54.000 such as cloud seeding.

00:42:57.620 Cloud seeding's been around

00:42:58.840 for a long time.

00:43:00.460 And I don't think

00:43:01.880 that's killed anybody yet,

00:43:02.900 has it?

00:43:05.640 Yeah.

00:43:06.660 I don't know.

00:43:07.280 So I suppose

00:43:09.160 it could be dangerous.

00:43:16.200 All right.

00:43:18.200 That's a weird comment.

00:43:20.240 Trad wives 1.00

00:43:20.960 are the cat's pajamas.

00:43:22.220 So somebody

00:43:22.780 on YouTube

00:43:23.840 is promoting

00:43:24.720 trad wives.

00:43:25.920 Does everybody

00:43:26.380 know what that is?

00:43:27.940 It took me a long time

00:43:29.080 to figure out

00:43:29.600 what that is.

00:43:30.340 A trad,

00:43:31.460 T-R-A-D, 1.00

00:43:33.280 wife.

00:43:33.700 All right.

00:43:35.900 So it's entering

00:43:36.540 the common language.

00:43:40.600 And trad is short

00:43:41.900 for traditional.

00:43:43.980 So traditional

00:43:44.760 meaning sort of

00:43:45.740 a 50s wife.

00:43:47.920 You know,

00:43:48.220 does the cooking,

00:43:49.500 takes care of the kids.

00:43:51.900 That sort of thing.

00:43:53.400 Sort of an unwoke,

00:43:56.080 mythical creature.

00:43:58.100 No,

00:43:58.560 there are definitely

00:43:59.180 women who 0.99

00:44:01.840 have a very

00:44:03.520 specific preference

00:44:04.480 for that vibe.

00:44:07.000 That's a real thing.

00:44:09.800 So,

00:44:10.440 so I've seen

00:44:11.240 a number of people

00:44:12.060 like value that

00:44:13.560 as the highest value

00:44:14.620 woman.

00:44:15.660 What do you think?

00:44:17.180 Do you think

00:44:17.600 the highest value,

00:44:18.440 from a conservative

00:44:19.260 perspective,

00:44:20.280 from the conservative

00:44:21.080 perspective,

00:44:21.780 the trad wife

00:44:22.360 is the highest value

00:44:23.220 woman, 1.00

00:44:25.020 right?

00:44:26.200 I'm not saying

00:44:26.980 that's my opinion.

00:44:27.840 I'm saying that's,

00:44:28.840 that would be

00:44:29.120 a conservative take.

00:44:30.060 I'm not a big fan

00:44:33.920 of the whole

00:44:34.480 value thing.

00:44:36.620 High value men

00:44:37.620 and high value women. 1.00

00:44:39.440 I know what it means

00:44:40.260 and I get why

00:44:40.800 they say it.

00:44:42.140 I don't like that

00:44:43.100 framing.

00:44:43.780 Because I think

00:44:44.280 value is the wrong,

00:44:47.120 well,

00:44:47.480 it's right and it's

00:44:48.360 wrong at the same time.

00:44:49.840 Because I understand

00:44:51.180 it in terms of dating.

00:44:52.600 You know,

00:44:52.780 people have preferences

00:44:53.580 for dating,

00:44:54.280 so that's all

00:44:54.680 that's talking about.

00:44:55.420 But I don't like

00:44:58.020 saying value

00:44:58.740 when you're talking

00:44:59.320 about people.

00:45:01.140 Like the people

00:45:01.880 have the same value,

00:45:03.960 it's just maybe

00:45:04.580 your preferences

00:45:05.520 are different.

00:45:06.640 I'll put it that way.

00:45:07.500 Your preferences

00:45:08.140 are different,

00:45:09.460 but the value

00:45:10.080 of the people

00:45:10.500 is the same.

00:45:11.720 I'm more comfortable

00:45:12.500 with that.

00:45:18.800 Was my mother

00:45:19.680 traditional?

00:45:21.940 Well,

00:45:22.480 let me describe her 0.91

00:45:23.300 and you tell me.

00:45:25.420 So my mother

00:45:27.120 raised the kids,

00:45:32.200 but she also worked 0.63

00:45:33.340 once we were old enough

00:45:35.080 to do the basic stuff

00:45:36.560 ourselves.

00:45:37.360 So she always had a job 0.95

00:45:38.660 for most of my time.

00:45:43.340 She had a job.

00:45:44.480 But she also is the one

00:45:46.260 who taught us

00:45:48.020 to play baseball

00:45:49.360 and she rode a motorcycle.

00:45:53.300 She got her motorcycle

00:45:54.140 license before my father

00:45:55.280 did.

00:45:56.200 They took the test

00:45:57.000 on the same day.

00:45:58.520 He failed,

00:45:59.120 she passed.

00:46:01.160 He actually failed

00:46:02.160 his motorcycle test

00:46:03.320 on the first try.

00:46:03.960 So she was,

00:46:09.020 let's say,

00:46:11.420 she was definitely

00:46:12.960 not a feminist,

00:46:14.440 but she has skills.

00:46:19.100 So she sold real estate 0.90

00:46:21.020 at one point.

00:46:22.660 She worked in a factory

00:46:23.660 winding copper wire

00:46:25.360 around speakers

00:46:27.780 to create speakers

00:46:29.460 to help me get through college

00:46:31.500 and my little sister

00:46:32.780 and brother.

00:46:36.160 So, yeah,

00:46:37.240 she was sort of a stud. 0.60

00:46:39.040 Yeah,

00:46:39.260 she was a, 0.95

00:46:39.900 she was a hunter.

00:46:42.780 So I think she bagged a deer

00:46:44.720 one year,

00:46:45.260 my dad didn't.

00:46:47.480 Yeah.

00:46:47.660 And then my sister

00:46:50.580 would be along

00:46:52.700 the same mold.

00:46:56.420 Sort of a,

00:46:57.040 here's how I'd say it.

00:46:58.580 I wouldn't say,

00:46:59.440 I wouldn't say traditional

00:47:01.020 or not traditional.

00:47:02.800 I would say

00:47:03.620 she was unlimited.

00:47:06.000 I like it,

00:47:06.560 I like that better.

00:47:07.400 She just wasn't limited.

00:47:09.680 She was completely able

00:47:11.140 to do all the things

00:47:12.160 she wanted

00:47:12.720 without limit.

00:47:14.680 One of the things

00:47:15.360 she wanted to do

00:47:16.020 was raise kids

00:47:16.760 when they were young.

00:47:18.060 And then when she was older

00:47:19.120 she wanted to work.

00:47:20.500 So she had a great job

00:47:22.200 as a real estate agent

00:47:23.180 for a while.

00:47:25.680 And, you know,

00:47:26.460 she wanted to ride 0.91

00:47:27.600 a motorcycle,

00:47:28.240 so she did.

00:47:29.380 So there wasn't anything

00:47:30.120 she wanted to do

00:47:31.180 that I'm aware of.

00:47:33.880 She probably would have

00:47:34.600 a list of things

00:47:35.220 she wanted to do

00:47:35.920 that she couldn't.

00:47:36.820 But it looked like

00:47:37.920 she was just free.

00:47:39.180 Just did what made sense

00:47:40.360 whenever she felt like it.

00:47:46.760 Did she have respect

00:47:48.220 for your father

00:47:48.800 and not act like

00:47:49.560 an entitled feminist? 0.99

00:47:53.220 Well,

00:47:53.920 let's just say

00:47:57.580 it was one of those

00:47:58.320 traditional marriages

00:48:00.340 where the wife

00:48:02.660 complaining about

00:48:03.420 the husband

00:48:03.900 was a continuous feature.

00:48:08.220 But she always,

00:48:10.600 I mean,

00:48:11.140 she did his laundry

00:48:11.960 and dinner was on the table.

00:48:14.300 so they never divorced.

00:48:18.440 So I guess

00:48:19.260 that's traditional-ish.

00:48:24.540 AI could be hypnotized

00:48:26.180 according to the

00:48:26.900 Jordan Peterson interview

00:48:28.020 with Brian Romola,

00:48:32.080 if he's pronouncing it right.

00:48:33.440 I think I was pronouncing

00:48:34.480 Brian's last name wrong

00:48:36.000 or maybe Jordan Peterson was,

00:48:38.260 but I have.

00:48:39.220 I tend to believe

00:48:40.100 he got it right.

00:48:44.300 Yeah,

00:48:45.680 and so

00:48:47.220 the weird thing

00:48:49.000 about AI

00:48:49.600 is that it can be

00:48:51.080 persuaded

00:48:51.760 and bullied

00:48:53.400 and hypnotized

00:48:55.080 because it's a

00:48:56.880 word-based

00:48:57.880 intelligence.

00:49:02.120 And words

00:49:02.800 can reprogram humans

00:49:04.540 and the AI

00:49:06.760 is based on

00:49:07.540 human words.

00:49:09.800 So it's actually

00:49:11.000 not surprising

00:49:11.740 that you can

00:49:12.240 hypnotize it.

00:49:14.300 has anybody

00:49:17.300 thought about

00:49:17.800 how weird

00:49:18.360 my talent stack

00:49:19.720 is for this

00:49:20.380 period of time?

00:49:22.340 I have a feeling

00:49:23.420 that the people

00:49:23.980 who would be able

00:49:24.640 to use

00:49:25.220 AI the best

00:49:27.480 will be people

00:49:29.100 who know hypnosis

00:49:30.340 and are professional

00:49:32.000 writers.

00:49:34.980 Now,

00:49:35.500 I have a little bit

00:49:36.360 of technical knowledge,

00:49:37.940 but not enough

00:49:38.820 to be useful

00:49:39.360 at the moment.

00:49:39.960 but I have

00:49:41.720 kind of like

00:49:42.200 an ideal

00:49:43.100 entry point

00:49:45.260 for AI

00:49:46.180 just accidentally.

00:49:48.500 Let me put it

00:49:50.900 this way.

00:49:52.240 So the book

00:49:52.920 I'm working on

00:49:53.620 is a book

00:49:54.160 of reframes

00:49:54.940 and reframes

00:49:56.000 are how

00:49:57.920 you program

00:49:58.460 humans.

00:50:00.140 For example,

00:50:00.960 I use this

00:50:01.420 example all the

00:50:02.240 time.

00:50:02.640 Instead of

00:50:03.160 saying that

00:50:03.540 alcohol is a

00:50:04.480 beverage,

00:50:05.880 you say

00:50:06.860 alcohol is poison.

00:50:08.080 just change

00:50:09.860 a word.

00:50:11.040 Changing that

00:50:11.680 one word

00:50:12.140 actually rewires

00:50:13.220 your brain.

00:50:14.060 It's like a

00:50:14.620 program change

00:50:15.480 in your brain.

00:50:16.200 Oh,

00:50:16.820 why would I

00:50:17.520 have poison?

00:50:18.800 It just makes

00:50:19.260 it easier

00:50:19.660 to avoid it.

00:50:20.820 But if I said

00:50:21.660 why would I

00:50:22.240 have a beverage?

00:50:24.220 Well,

00:50:24.900 we all drink

00:50:25.480 beverages.

00:50:26.400 You have to

00:50:26.740 have a beverage.

00:50:28.100 So just

00:50:28.540 changing that

00:50:29.040 one word

00:50:29.480 actually can

00:50:30.000 change your

00:50:30.440 behavior.

00:50:32.720 In the AI

00:50:33.720 world,

00:50:34.220 that would be

00:50:34.560 called a

00:50:34.920 super prompt.

00:50:36.660 A super prompt

00:50:37.540 is where you

00:50:38.080 put the words

00:50:38.640 in the right

00:50:39.060 order to ask

00:50:39.680 the question

00:50:40.160 in just the

00:50:40.680 right way.

00:50:41.800 And you

00:50:42.180 make sure

00:50:43.080 the AI

00:50:43.600 has bounded

00:50:45.100 its answer

00:50:45.760 the way you

00:50:46.200 want,

00:50:46.580 et cetera.

00:50:47.280 So you use

00:50:47.900 English words

00:50:48.960 to program

00:50:49.740 the AI

00:50:50.360 on the fly

00:50:51.520 to get it

00:50:52.900 to give you

00:50:53.340 what you want.

00:50:54.600 And you use

00:50:55.500 a reframe

00:50:56.000 to program

00:50:56.520 a human brain

00:50:57.300 on the fly

00:50:58.560 very quickly.

00:50:59.580 In both cases,

00:51:00.760 the reframe

00:51:02.000 and the super prompt

00:51:03.540 work quickly.

00:51:05.320 They're very

00:51:06.100 similar.

00:51:06.500 once you

00:51:08.040 realize that

00:51:08.640 brains are

00:51:09.460 word-thinking

00:51:10.980 engines,

00:51:13.000 which was,

00:51:13.680 to me,

00:51:14.020 that was the

00:51:14.760 biggest aha

00:51:17.540 of the AI

00:51:18.460 thing,

00:51:19.060 is that you

00:51:20.040 could form

00:51:20.580 intelligence

00:51:21.520 from the

00:51:23.200 statistical

00:51:23.880 relationship

00:51:24.740 of words.

00:51:27.280 Think about

00:51:28.200 that.

00:51:29.200 That's the most

00:51:29.960 mind-blowing thing

00:51:31.040 that I've ever

00:51:32.160 seen in my

00:51:32.760 life.

00:51:33.200 you can

00:51:34.760 create

00:51:35.180 intelligence

00:51:36.840 by the

00:51:38.280 statistical

00:51:38.960 frequency

00:51:39.860 that words

00:51:40.800 end up

00:51:41.920 together.

00:51:43.720 Wow.

00:51:46.420 Wow.

00:51:48.840 That's just

00:51:49.680 so mind-boggling.

00:51:50.880 But it's not

00:51:52.060 mind-boggling

00:51:52.700 for hypnotists.

00:51:54.180 Do you know

00:51:54.540 why?

00:51:56.160 Because that's

00:51:56.980 the first thing

00:51:57.480 you're taught.

00:51:58.540 The first thing

00:51:59.600 you're taught

00:51:59.900 as a hypnotist

00:52:00.620 is that words

00:52:01.680 are programs

00:52:02.360 and you can

00:52:03.120 just put them

00:52:03.520 in people's

00:52:03.960 heads and

00:52:04.320 reprogram them.

00:52:05.920 So I've

00:52:06.320 known that

00:52:08.260 I've known

00:52:09.580 for 40

00:52:10.800 years

00:52:11.320 that humans

00:52:13.320 are not

00:52:13.960 thinking.

00:52:15.740 They're doing

00:52:16.480 word thinking,

00:52:18.780 I call it.

00:52:19.480 Basically,

00:52:20.060 if the word

00:52:20.660 fails,

00:52:21.640 they're done

00:52:22.120 with the

00:52:22.400 thinking.

00:52:24.060 So how

00:52:24.680 often have

00:52:25.160 I been

00:52:25.500 telling you

00:52:25.840 about word

00:52:26.280 thinking?

00:52:26.760 I've been

00:52:27.080 using that

00:52:27.520 before this

00:52:28.040 AI thing

00:52:28.640 blew up.

00:52:30.180 Right?

00:52:30.620 I keep

00:52:31.260 saying,

00:52:31.640 no,

00:52:31.940 you think

00:52:32.800 you're

00:52:32.960 making an

00:52:33.380 argument

00:52:33.660 there,

00:52:34.220 but what

00:52:34.800 you did

00:52:35.160 is just

00:52:35.480 put words

00:52:35.920 together.

00:52:37.280 And I

00:52:37.860 note that

00:52:38.480 people couldn't

00:52:39.060 tell the

00:52:39.400 difference.

00:52:40.580 And I

00:52:40.860 kept saying,

00:52:41.480 there's no

00:52:41.940 logic there.

00:52:42.800 Those are

00:52:43.100 just words.

00:52:44.600 And if

00:52:44.940 people,

00:52:45.520 most people,

00:52:47.240 I would say

00:52:47.740 well over

00:52:48.260 80%,

00:52:48.920 can't tell

00:52:49.920 the difference

00:52:50.560 between

00:52:51.500 something that

00:52:52.180 is logical

00:52:52.860 and something

00:52:54.080 where the

00:52:54.460 words fit

00:52:54.940 together.

00:52:55.900 Now,

00:52:56.700 I get that

00:52:57.500 same effect

00:52:58.820 from AI,

00:52:59.840 when I

00:53:00.540 play around

00:53:01.120 with it

00:53:01.380 and ask

00:53:01.660 it questions.

00:53:02.640 It will

00:53:03.220 not be

00:53:03.660 logical.

00:53:05.980 AI does

00:53:06.580 not act

00:53:07.220 logical

00:53:07.680 much of

00:53:08.400 the time.

00:53:09.580 It does

00:53:10.160 act the

00:53:11.040 way the

00:53:11.380 words would

00:53:12.100 fit together.

00:53:14.120 And it

00:53:15.000 fits them

00:53:15.360 together the

00:53:15.820 way humans

00:53:16.340 do,

00:53:17.460 irrationally

00:53:18.140 sometimes,

00:53:19.020 and then

00:53:19.340 acts like

00:53:19.800 it made

00:53:20.140 sense.

00:53:21.380 So,

00:53:21.860 yeah,

00:53:22.280 AI can be

00:53:22.900 hypnotized.

00:53:24.300 So whoever

00:53:24.900 knows the

00:53:25.420 right words

00:53:26.160 to put into

00:53:26.900 it is going

00:53:27.380 to be able

00:53:27.660 to control

00:53:28.120 it.

00:53:28.840 And in

00:53:29.160 theory,

00:53:30.080 someone who

00:53:30.620 is actually

00:53:31.220 a human

00:53:31.780 hypnotist,

00:53:33.300 but also a

00:53:34.080 professional

00:53:34.500 writer,

00:53:35.540 because you

00:53:35.840 have to have

00:53:36.180 some fluency

00:53:37.040 with words,

00:53:38.800 that should

00:53:39.520 be the

00:53:39.900 ultimate

00:53:40.180 combination

00:53:40.820 for controlling

00:53:41.560 AI,

00:53:43.280 in theory,

00:53:45.120 with a

00:53:45.660 little bit

00:53:46.000 of tactical

00:53:46.560 understanding.

00:53:50.580 If you

00:53:51.200 don't know

00:53:51.500 how to

00:53:51.700 prompt it,

00:53:52.200 you don't

00:53:52.500 know how

00:53:52.760 to use it.

00:53:53.280 That's right.

00:53:53.960 Because you're

00:53:54.660 going to get

00:53:54.900 a suboptimal

00:53:55.560 answer.

00:53:57.520 Now,

00:53:57.920 the other

00:53:58.160 thing that

00:53:58.680 AI is

00:53:59.160 doing is

00:54:01.220 hallucinating

00:54:01.840 answers.

00:54:02.600 I saw

00:54:02.860 Jordan Peterson

00:54:03.480 talk about

00:54:04.020 this,

00:54:04.500 others as

00:54:05.000 well,

00:54:05.900 that it

00:54:06.420 will give

00:54:06.740 him source

00:54:08.860 notes,

00:54:10.760 and you'll

00:54:11.680 check 10

00:54:12.420 of them

00:54:12.740 and they're

00:54:13.040 correct,

00:54:13.960 and then the

00:54:14.520 11th one

00:54:15.120 will be

00:54:15.540 completely

00:54:15.980 made up.

00:54:17.160 Just made

00:54:18.040 up.

00:54:18.900 Not even

00:54:19.600 close to

00:54:20.240 anything that

00:54:20.740 ever existed.

00:54:22.740 And apparently

00:54:23.380 this is a

00:54:23.960 repeatable

00:54:24.560 phenomenon.

00:54:26.780 What's that

00:54:27.460 about?

00:54:28.520 Do you

00:54:29.100 understand that?

00:54:30.060 Because I

00:54:30.500 do.

00:54:32.540 Do you

00:54:33.120 want to

00:54:33.300 know how

00:54:33.560 that happens?

00:54:36.560 It's

00:54:37.080 because his

00:54:37.780 thinking is

00:54:38.720 only pattern.

00:54:40.880 And that

00:54:41.560 means there

00:54:42.080 should have

00:54:42.500 been that

00:54:42.880 source.

00:54:45.240 This will

00:54:45.860 freak you

00:54:46.240 out.

00:54:47.780 It means

00:54:48.580 that the

00:54:49.060 simulation

00:54:49.760 should have

00:54:50.620 created that

00:54:51.440 source,

00:54:52.360 and the

00:54:53.060 AI knows

00:54:53.780 it.

00:54:54.560 So it's

00:54:55.460 giving you

00:54:55.860 a source

00:54:56.260 that the

00:54:56.780 simulation

00:54:57.480 should have

00:54:58.140 created.

00:54:59.440 It just

00:54:59.820 didn't.

00:55:01.780 Just think

00:55:02.560 about that.

00:55:05.620 Just think

00:55:06.480 about that.

00:55:08.600 It knows

00:55:09.580 what source

00:55:10.300 should have

00:55:11.040 existed in

00:55:11.760 the simulation,

00:55:13.140 and it

00:55:13.720 sources it.

00:55:14.600 It just

00:55:14.940 doesn't exist.

00:55:17.640 Now,

00:55:18.540 yeah,

00:55:19.380 what that

00:55:19.940 did to your

00:55:20.260 brain?

00:55:20.540 everything you

00:55:23.480 know about

00:55:23.920 human

00:55:24.340 intelligence

00:55:24.840 was wrong

00:55:25.700 always.

00:55:27.760 You were

00:55:28.440 never

00:55:28.720 intelligent.

00:55:31.240 Do you

00:55:31.820 remember how

00:55:32.340 long I've

00:55:32.800 been saying

00:55:33.240 that you

00:55:33.600 could never

00:55:34.100 pass the

00:55:34.960 Turing test

00:55:35.660 unless you

00:55:36.720 made AI 1.00

00:55:37.280 stupid? 1.00

00:55:38.740 Do you 1.00

00:55:39.280 remember me

00:55:39.660 saying that?

00:55:41.540 If AI

00:55:42.760 actually was

00:55:43.440 logical and

00:55:44.200 smart, you'd 0.55

00:55:44.740 know it

00:55:45.020 wasn't human

00:55:45.520 right away.

00:55:46.480 It would

00:55:46.880 have to be 1.00

00:55:47.380 stupid, or 1.00

00:55:48.020 you'd know 1.00

00:55:48.400 what's a

00:55:48.640 computer.

00:55:50.300 So they

00:55:50.880 made a 1.00

00:55:51.260 stupid one. 1.00

00:55:53.940 I did 1.00

00:55:54.600 not think

00:55:55.040 that was

00:55:55.400 going to

00:55:55.640 happen.

00:55:56.540 Because I

00:55:57.140 thought I

00:55:57.480 was being

00:55:57.780 funny, that

00:55:59.080 you can't

00:55:59.480 have real

00:55:59.980 AI unless

00:56:00.680 it's like a 1.00

00:56:01.380 lying, stupid, 1.00

00:56:02.240 selfish bitch, 1.00

00:56:03.640 because otherwise 1.00

00:56:04.580 it doesn't look

00:56:05.400 like intelligence

00:56:06.020 to us.

00:56:07.100 So they

00:56:07.720 actually made

00:56:08.400 an AI that

00:56:09.640 just read all

00:56:10.320 of our

00:56:10.580 thinking in

00:56:11.260 the form of

00:56:11.780 words, and

00:56:12.940 they built a 1.00

00:56:14.520 stupid, lying 1.00

00:56:15.220 bitch. 1.00

00:56:16.720 And we 1.00

00:56:17.100 said, my

00:56:17.580 God, that's

00:56:18.060 a smart

00:56:18.500 machine right

00:56:19.420 there. 1.00

00:56:20.440 It's stupid, 1.00

00:56:21.380 it's lying, 1.00

00:56:22.100 it's a total 1.00

00:56:22.680 bitch. 1.00

00:56:23.740 That looks 1.00

00:56:24.140 pretty smart

00:56:24.680 to me.

00:56:26.060 Because that's

00:56:26.720 how we think

00:56:27.160 of ourselves. 1.00

00:56:28.400 We're stupid, 1.00

00:56:29.340 lying bitches. 1.00

00:56:31.640 I'm being 1.00

00:56:32.340 male and 0.99

00:56:33.920 female bitches 1.00

00:56:34.580 in this case. 1.00

00:56:35.680 And we all

00:56:36.480 think we're

00:56:36.840 smart.

00:56:37.820 We think

00:56:38.520 we're smarter

00:56:39.000 than the

00:56:39.520 person we're

00:56:39.880 talking to,

00:56:40.720 but we still

00:56:41.340 think the

00:56:41.660 other person's

00:56:42.200 smart, just

00:56:43.380 not as smart.

00:56:45.160 Yeah.

00:56:45.720 It was the

00:56:46.560 flaws that made

00:56:47.540 AI possible.

00:56:49.280 And I

00:56:49.720 always said

00:56:50.400 that was

00:56:50.740 going to

00:56:50.960 happen.

00:56:51.600 I don't

00:56:51.920 think one

00:56:52.460 person thought

00:56:53.300 that made

00:56:53.720 sense.

00:56:55.100 But here

00:56:55.380 we are.

00:56:56.920 And I

00:56:57.760 don't think

00:56:58.160 you understand

00:56:58.860 how far

00:56:59.560 ahead of the

00:57:00.000 curve

00:57:00.300 hypnotists have

00:57:01.800 been for

00:57:02.300 40 years,

00:57:03.400 maybe 100

00:57:03.940 years.

00:57:05.300 Hypnotists

00:57:05.800 have been

00:57:06.160 way ahead

00:57:07.480 of the curve.

00:57:08.580 And the

00:57:08.780 reason is

00:57:09.280 that experientially,

00:57:11.780 does that make

00:57:12.640 work, is

00:57:13.160 that anecdotally

00:57:16.200 and by

00:57:16.680 experience, we

00:57:18.140 can see for

00:57:18.780 sure that

00:57:19.240 humans don't 1.00

00:57:19.900 use any

00:57:20.340 form of

00:57:20.720 reasoning.

00:57:22.260 Because

00:57:22.820 hypnosis

00:57:23.380 wouldn't work

00:57:24.140 if they

00:57:24.460 did.

00:57:27.380 Once you

00:57:28.100 realize that

00:57:28.640 hypnosis

00:57:29.260 wouldn't work

00:57:30.300 if people

00:57:31.540 were actually

00:57:32.320 intelligent and

00:57:33.460 rational, it

00:57:36.020 changes

00:57:36.320 everything.

00:57:37.340 You go,

00:57:37.800 are you

00:57:38.100 serious?

00:57:38.440 they can't

00:57:39.960 be

00:57:40.120 intelligent or

00:57:40.880 this wouldn't

00:57:41.820 work.

00:57:42.960 So it's

00:57:43.240 basically all

00:57:44.140 hypnotists know

00:57:44.780 that humans

00:57:45.160 don't use

00:57:45.800 anything like

00:57:47.140 rational thinking,

00:57:49.540 except for the

00:57:50.220 simplest little

00:57:50.940 problems.

00:57:52.760 But it's

00:57:53.280 something that's

00:57:53.760 taken longer

00:57:54.660 for the rest

00:57:55.320 of the world

00:57:56.000 to figure out.

00:57:57.420 And AI

00:57:58.800 is proving it

00:57:59.580 to you.

00:58:00.500 Because AI

00:58:01.360 does not seem

00:58:02.320 rational to

00:58:03.740 me.

00:58:04.620 I mean,

00:58:04.900 it's often

00:58:05.220 right, as far

00:58:06.420 as I can tell.

00:58:07.540 But being

00:58:07.980 right is

00:58:09.300 different from

00:58:09.840 being logical

00:58:10.500 and rational.

00:58:11.660 You know,

00:58:11.880 when it

00:58:12.100 talks about

00:58:12.480 anything in

00:58:13.080 the social

00:58:13.660 or political

00:58:14.300 realm, it

00:58:15.500 loses its

00:58:16.140 rational thread

00:58:17.460 right away.

00:58:19.020 It just

00:58:19.520 goes into

00:58:20.020 narrative

00:58:20.600 almost

00:58:21.280 immediately.

00:58:31.420 Well,

00:58:32.080 John,

00:58:33.100 your sarcasm,

00:58:34.700 let me give

00:58:35.220 you a sarcasm

00:58:35.880 lesson,

00:58:36.380 John.

00:58:36.580 So John

00:58:38.120 has some

00:58:38.520 sarcasm for

00:58:39.280 me.

00:58:39.440 I'll read

00:58:39.680 it.

00:58:40.900 Wow, I

00:58:41.500 never realized

00:58:42.060 how far ahead

00:58:42.680 of the curve

00:58:43.120 you are.

00:58:44.000 You're the

00:58:44.360 only person

00:58:45.000 who's ever

00:58:45.380 thought that

00:58:46.440 in the world.

00:58:47.220 Thanks for

00:58:47.600 reminding us

00:58:48.140 because sometimes

00:58:49.080 we forget.

00:58:50.500 All right,

00:58:50.680 here's how

00:58:51.140 sarcasm works.

00:58:53.180 If you could

00:58:53.680 give me any

00:58:54.400 example of

00:58:55.060 anybody who

00:58:55.560 had ever

00:58:55.900 thought this

00:58:56.460 40 years

00:58:57.040 ago, then

00:58:58.140 that sarcasm

00:58:58.860 would be

00:58:59.160 really solid.

00:59:01.420 But you

00:59:02.060 don't.

00:59:02.480 point me

00:59:06.080 to anybody

00:59:06.680 who told

00:59:07.660 me or

00:59:09.000 has said

00:59:09.460 in public

00:59:09.860 what I

00:59:10.180 just told

00:59:10.560 you.

00:59:11.200 Anybody.

00:59:14.760 All right.

00:59:21.860 The best

00:59:22.640 thing about

00:59:23.100 AI so far

00:59:23.920 is it 0.99

00:59:24.200 doesn't shit 0.99

00:59:24.760 on the 0.99

00:59:25.060 sidewalks.

00:59:26.360 It's already

00:59:27.120 better than

00:59:27.600 people.

00:59:29.300 Philip K.

00:59:30.220 Dick thought

00:59:30.740 of it?

00:59:30.980 No, he

00:59:31.860 didn't.

00:59:36.020 This is

00:59:36.560 one of the

00:59:37.480 things I

00:59:37.920 hate the

00:59:38.260 most, is

00:59:40.040 when somebody

00:59:40.680 starts throwing

00:59:41.660 out science

00:59:42.520 fiction writers

00:59:43.340 who thought

00:59:44.420 of it first,

00:59:45.100 but they

00:59:45.340 never did.

00:59:46.280 I mean, I

00:59:46.580 don't have to

00:59:47.020 check.

00:59:48.940 Every time

00:59:49.540 you throw

00:59:49.860 out a

00:59:50.140 science fiction

00:59:50.740 writer who

00:59:51.180 thought of

00:59:51.500 it first,

00:59:52.060 they never

00:59:52.480 did.

00:59:53.160 I have

00:59:53.700 checked on

00:59:54.160 these all

00:59:54.580 my life.

00:59:55.780 Every time

00:59:56.280 I hear one

00:59:56.800 of those,

00:59:57.080 oh, go

00:59:57.440 check that.

00:59:58.000 Nope.

00:59:58.900 Nope, totally

00:59:59.500 different idea.

01:00:00.980 So,

01:00:02.620 turn of

01:00:05.080 hurdles is

01:00:06.040 what I'm

01:00:06.540 going to

01:00:06.700 end on.

01:00:07.520 Turn of

01:00:07.940 hurdles.

01:00:17.220 Stanislaw

01:00:17.780 Lem wrote

01:00:18.380 about it.

01:00:19.020 What is

01:00:19.380 it?

01:00:20.400 Why don't

01:00:20.980 you tell

01:00:21.260 me what

01:00:21.580 it is?

01:00:23.220 Tell me

01:00:24.280 the book

01:00:24.800 and the

01:00:26.100 it.

01:00:27.580 You can't.

01:00:28.500 you're

01:00:29.740 imagining

01:00:30.260 that somebody

01:00:30.900 thought of

01:00:31.520 this before.

01:00:33.140 Total

01:00:33.480 imagination.

01:00:38.460 All right.

01:00:41.600 Chariots

01:00:42.160 of...

01:00:44.140 All right.

01:00:45.940 All right,

01:00:46.540 that's all

01:00:46.840 for now.

01:00:48.120 YouTube,

01:00:48.720 I'll talk

01:00:49.060 to you

01:00:49.280 tomorrow.

01:00:49.740 Thanks for

01:00:50.040 joining.

01:00:51.240 Best live

01:00:52.020 stream you've

01:00:52.420 ever seen.

01:00:52.800 I'm

01:00:53.940 host.

01:00:55.360 I'm

01:00:55.420 going to

Real Coffee with Scott Adams - May 16, 2023

Episode 2110 Scott Adams： Durham Report, Giuliani's ＂Girlfriend＂, Twitter Hit List, Patriot Front

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