Real Coffee with Scott Adams - August 11, 2020


Episode 1088 Scott Adams: Kids and School Openings, Herd Immunity, Biden's Cadaver Strategy, Teachers Unions


Episode Stats

Length

1 hour

Words per Minute

146.6852

Word Count

8,899

Sentence Count

407

Misogynist Sentences

5

Hate Speech Sentences

22


Summary

Scott Adams is back with another episode of Coffee with Scott Adams. This week, he talks about AOC's Green New Deal, George Conway, and why AOC is not quite a child anymore. Plus, he calls out one of President Trump's best persuasion plays.


Transcript

00:00:00.160 Bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum.
00:00:12.480 Hey everybody, come on in. It's time for a Coffee with Scott Adams.
00:00:17.740 One of, if not the best, moments of your entire life.
00:00:23.020 Sure, you're thinking to yourself, well what about the birth of my first child?
00:00:28.400 Well, that was cool, too.
00:00:30.040 I'm not going to minimize that.
00:00:31.920 But it was no simultaneous sip, I think we can agree.
00:00:35.920 And to enjoy the simultaneous sip, all you need is a cupper mug or a glass of tanker,
00:00:41.360 chalice or stein, a canteen jug or a flask, a vessel of any kind.
00:00:45.880 Preferably with no hole in it.
00:00:47.840 Fill it with your favorite beverage.
00:00:50.540 I like coffee.
00:00:52.140 And join me now for the unparalleled pleasure, the dopamine hit of the day,
00:00:55.800 the thing that makes everything better.
00:00:58.200 It's called the simultaneous sip, and it's coming up now.
00:01:00.780 Go!
00:01:04.680 Oh, wait, there's a problem.
00:01:07.540 Usually it makes everything better.
00:01:09.600 Oh, hold on, hold on.
00:01:10.500 I have to do another sip.
00:01:11.980 There's something that's not working.
00:01:17.220 Damn it.
00:01:18.140 It doesn't make everything better.
00:01:21.020 George Conway is still a big pimple.
00:01:23.600 On the president's ass.
00:01:28.580 I guess there's some things that even the simultaneous sip can't fix.
00:01:35.560 Speaking of George Conway, he wrote a scathing article.
00:01:41.300 A scathing article in the Washington Post.
00:01:43.660 And if you saw the tweets about the article, you would know that if you're a Trump supporter,
00:01:51.540 he just trashed you.
00:01:54.720 He showed you with his sarcasm.
00:01:59.580 That's right.
00:02:00.940 The Democrats, by the way, once you see this, you can't unsee it.
00:02:05.080 The Republicans, by and large, try to argue with data and reasons.
00:02:12.040 Sometimes their data is incomplete.
00:02:15.140 Sometimes their reasons are not perfect.
00:02:17.120 But they're at least trying to use reasons, and they're trying really hard to use data,
00:02:26.400 and they're trying to use science.
00:02:29.160 It's just really hard, because the science is changing, the data is always incomplete,
00:02:34.100 and we're not really that good at using logic.
00:02:37.660 If you talk about the whole world, we're not all good at it.
00:02:41.060 But Democrats seem to have completely abandoned that fool's errand,
00:02:47.500 because trying to be rational in the irrational world doesn't work as well as you would hope it would.
00:02:54.360 But the Democrats have completely abandoned that model in favor of replacing it all with sarcasm.
00:03:02.280 Once you see it, you cannot unsee it.
00:03:04.180 They literally use sarcasm as a substitute for reasons.
00:03:09.560 And you'll see that all the time, now that I mention it.
00:03:14.580 And certainly that whole George Conway article was that.
00:03:17.920 Included in his article, he's trying to dump on the president for being wrong or being silly or being crazy.
00:03:26.940 And he spreads the fake news that the president suggested drinking disinfectant.
00:03:33.260 Now, if you're going to spread the most obvious fake news as if it's true,
00:03:41.040 you don't have any respect for the people reading your stuff.
00:03:44.960 And I can see why he wouldn't.
00:03:47.440 Oh, I want to call out one of President Trump's best persuasion plays.
00:03:53.600 And I didn't see it live, but I heard about it.
00:03:55.980 So give me a fact check on this.
00:03:58.860 It is true that the president referred to the Green New Deal as a child's plan.
00:04:07.440 That happened, right?
00:04:08.800 So I want to call out that that is really, really good framing.
00:04:14.720 Because first of all, you've got Greta, who looks young.
00:04:19.140 And looks younger than she is.
00:04:20.360 So she's not quite a child anymore.
00:04:22.220 She's probably pushing 18, not quite 18.
00:04:26.160 But, you know, she's approaching adulthood.
00:04:30.500 But because she looks young, and because the children are the ones who are protesting, etc.,
00:04:36.420 there is very, very much a young flavor to the Green New Deal.
00:04:41.240 Even AOC is young for a politician.
00:04:44.400 So there is, in your biased, irrational mind, it does bias toward young people
00:04:52.480 who want to, you know, get the most active in fixing climate change as they see it.
00:04:59.500 Now, what's good about this is that it's what I call a high ground maneuver.
00:05:04.540 Once you say something is a child's plan, you can kind of walk away.
00:05:10.700 You don't need to get into the details.
00:05:13.920 Because once you've so labeled it, it starts looking like it.
00:05:19.760 Now, here's what a child's plan looked like.
00:05:22.460 And I will tell you from my own child's plan.
00:05:26.060 When I was a kid, I was very angry at my father.
00:05:29.520 I don't know how old I was, maybe six.
00:05:31.840 I was angry at my father that he would not help me build a functional airplane
00:05:36.660 so that I could fly around my town.
00:05:39.180 And I thought, how hard is it really to build an airplane?
00:05:44.200 Come on.
00:05:45.900 It's wood.
00:05:47.240 It's nails.
00:05:48.580 We got wood.
00:05:49.340 We got nails.
00:05:50.560 The plane needs an engine.
00:05:51.820 Look, we got lawnmowers.
00:05:54.680 They've got engines.
00:05:56.520 How hard is it to put an engine on a little airplane that you build in the backyard?
00:06:02.060 You've got lumber.
00:06:03.700 You know how to measure things.
00:06:05.280 You know what an airplane looks like.
00:06:06.660 Come on, father.
00:06:09.300 Build me a functioning airplane or you're worthless to me.
00:06:13.940 Really.
00:06:14.500 What kind of an unscientific father do I have who can't build me a functioning airplane and a wood?
00:06:20.580 Frickin' loser.
00:06:21.660 That's a child's plan.
00:06:25.960 A child's plan is build me an airplane and a wood, dad.
00:06:32.340 Right?
00:06:32.880 You recognize that as a child's plan.
00:06:34.840 You don't need to get into the details.
00:06:36.920 Scott, Scott, Scott.
00:06:38.340 There might be more to this than you think.
00:06:40.540 I'm not sure your father has all of the lightweight materials and tools necessary to build a functioning airplane.
00:06:48.400 But you don't even need to get into it.
00:06:50.840 It's just a child's plan.
00:06:53.060 Likewise, the Green New Deal, when you throw in the get rid of meat and airplanes and stuff like that,
00:06:59.920 you don't need to argue that stuff.
00:07:02.360 And I think that it's sort of a waste of time to engage it like it's serious.
00:07:08.160 Simply calling it a child's plan is really good because it's not as if we're capable of hashing out the details.
00:07:17.320 It's not like we're capable of knowing if those long-range projection models are accurate or accurate enough within a range.
00:07:26.200 We don't know what the economic outcome will be.
00:07:29.540 We don't know what new technologies will come up, what changes will surprise us.
00:07:36.080 It's just a child's plan.
00:07:37.740 It's very good.
00:07:39.020 All right.
00:07:41.040 One of the things that this whole COVID thing is doing, and I talk about this in the terms of persuasion,
00:07:47.380 everything that's associated with everything else gets smeared by anything that happens to one of them.
00:07:54.420 So let's say you were a twin, and your twin causes a horrible murder.
00:08:00.360 Well, even if you had nothing to do with it, it kind of washes over onto you.
00:08:05.220 You shouldn't, but people aren't going to look at you the same.
00:08:08.680 It's just the way our world works, that if there's any relationship with two things,
00:08:14.520 whatever happens to one just bleeds over into the other in our irrational minds.
00:08:19.560 And look what's happening as we collectively, we citizens of Earth, try to figure out what is scientific
00:08:27.980 and what is not scientific in this COVID situation.
00:08:32.860 And the more we wrestle with this, and the more we see science failing and failing and failing,
00:08:39.100 correcting, failing, correcting.
00:08:41.260 Now, the correcting part is the good part.
00:08:42.820 And, of course, as we all are sophisticated to know, science is mostly about failing,
00:08:50.100 but you're failing forward.
00:08:51.700 Well, that didn't work, that didn't work.
00:08:53.340 Hey, try this.
00:08:54.880 Oops, it couldn't reproduce it.
00:08:57.220 Try this.
00:08:57.940 Oh, there you go.
00:08:58.760 You reproduced it.
00:08:59.900 So you're mostly failing until you hit that little nugget of truth that maybe you can hold onto for a while.
00:09:06.380 But when you're in it, it looks like mostly failing, right?
00:09:12.120 If you get to just check out the end result, it's like, hey, good job, scientists.
00:09:17.220 We figured out gravity and whatever else.
00:09:22.080 But if you're actually in the process of the science creating the answers and not knowing the answers,
00:09:28.700 it just looks like science is completely incompetent.
00:09:32.220 It's not.
00:09:33.640 It's not.
00:09:34.260 Science is every bit as good as it was last year when you trusted it more.
00:09:40.540 It's just that you're in the fight and you get to see all the ugly stuff because they can't hide it.
00:09:47.200 Now, what's that do to your thoughts about climate change?
00:09:51.840 Well, there should be no effect.
00:09:54.100 If we were rational creatures, we would say, oh, you can't compare these two things.
00:10:00.100 One is the fog of war.
00:10:01.900 It's brand new.
00:10:02.780 It's a novel coronavirus.
00:10:04.260 We're trying as hard as we can.
00:10:06.120 Of course, we're wrong more than we're right.
00:10:08.400 That's how science works until you become more right than you're wrong.
00:10:13.340 Don't know how long that takes.
00:10:14.860 We're going to have to test a lot of stuff and make sure we can reproduce those tests and everything else.
00:10:19.320 But what about climate change?
00:10:22.200 suddenly, suddenly, whatever bad feelings you're going to develop from this about science, and you know you are, right?
00:10:32.420 I don't care who you are.
00:10:33.800 If you're watching this, it's hard to be just as confident about scientists as it was a year ago.
00:10:41.260 A year ago, I'll bet you felt a little bit better about the accuracy of science.
00:10:47.600 Now you're going to take that to the climate change discussion.
00:10:50.580 And even if you don't acknowledge that that baggage is coming with you, it's coming with you.
00:10:58.660 It's coming with you.
00:11:00.060 And it's healthy because the problem with the climate argument is that there's a bit of an over-claim about what they can know about the future,
00:11:11.200 certainly about the economics of the future and how we'll adjust to higher temperatures, et cetera.
00:11:15.780 I am on, in case anybody's new to this, I'm on the team that says temperatures are almost certainly going up and that humans are some part of that.
00:11:28.400 But it doesn't mean it's the end of the world because we're really good at adapting.
00:11:32.700 So that's my view.
00:11:33.940 Anyway, here's a...
00:11:39.780 Let me give you an anecdote from my past that will be useful in understanding the present.
00:11:45.780 We are obsessed with trying to figure out which of our leaders are brilliant and which of them are idiots, right?
00:11:53.260 It's sort of our main occupation.
00:11:55.920 Oh, that Swedish prime minister or whatever they have, king.
00:12:01.540 I don't know.
00:12:01.860 What does Sweden have?
00:12:03.600 Do they have a president, prime minister?
00:12:06.000 I have no idea.
00:12:07.600 That's how American I am.
00:12:09.540 I'm so American, I don't even know the form of government of our allies.
00:12:14.280 That's as American as you can get.
00:12:17.780 Am I proud of it?
00:12:18.840 Not necessarily.
00:12:20.500 All right.
00:12:20.780 Here's my story.
00:12:22.340 When I was working at Crocker Bank, a big bank that was bought by Wells Fargo later, but in San Francisco, it was a real big bank.
00:12:30.620 And my job was to study the performance of the individual branch managers on a variety of measures that senior management would provide.
00:12:43.300 They'd say, you have to cross-sell this much and bring in these many deposits, et cetera.
00:12:48.200 And then I was in charge of collecting all the data, putting it into some kind of summary reports, doing a little programming to make reports, and to tell management which managers did better.
00:13:04.300 But apparently, I'm the wrong person for that job, because that's not how it went.
00:13:10.940 I went into the senior vice president, who was sort of the person I mostly reported to for this information.
00:13:16.800 And I said, you know, if I'm being honest, you're not really measuring the skill of the managers, because if you give them a goal, and some exceed the goal, and some don't meet the goal, but the goal is different for each branch.
00:13:37.460 Right? So every branch had its own goal that was customized for their situation.
00:13:43.320 I said, if you find out that somebody exceeded their goal, and somebody did not, what have you actually measured?
00:13:51.240 Have you measured the quality of the manager?
00:13:55.840 I would say no.
00:13:57.980 What you measured is the quality of the person who set the goal.
00:14:02.980 Right?
00:14:03.500 Because whoever set that target, what if they were wrong?
00:14:08.000 What if it was unrealistically high?
00:14:10.300 What if it was unrealistically low?
00:14:12.480 You haven't measured the quality of the management.
00:14:16.080 All you've done is measured the quality of your measuring.
00:14:21.380 And you didn't even really do that.
00:14:24.520 Right?
00:14:25.760 On top of that, I said, you do realize that even the data,
00:14:29.980 forget about the fact that measuring against these arbitrary goals that senior management made,
00:14:36.960 forget about the fact that that's nonsense.
00:14:40.020 Even the data is wrong.
00:14:42.000 And I said to my boss, it's my job,
00:14:45.040 I guarantee you that the data that's coming in is not reliable.
00:14:49.120 And I gave reasons, you know, this data is not reliable for this reason.
00:14:52.560 I had to use an estimate, I had to make an assumption, whatever.
00:14:55.380 And this is when the senior vice president looked at me
00:15:00.520 and gave me one of the biggest red pills I've ever choked down.
00:15:06.400 Are you ready for it?
00:15:07.860 You can live this experience vicariously.
00:15:11.600 This is one of the biggest red pills you will ever eat.
00:15:14.840 Big corporation.
00:15:16.540 I'm in charge of figuring out which branches are doing well and which are not.
00:15:20.600 I tell my boss that my own data is worthless.
00:15:25.100 Worthless.
00:15:25.900 Completely worthless.
00:15:27.400 And worse than worthless, probably harmful.
00:15:30.560 Because it's so bad, you're going to be firing people who did a great job.
00:15:36.160 I mean, that's as bad as data could be, right?
00:15:39.520 And my senior vice president, who was one of these,
00:15:43.000 I honestly think he was one of these enlightened people.
00:15:46.300 He wasn't like a regular boss.
00:15:48.320 There was something different about this guy.
00:15:50.140 Bill Riley was his name.
00:15:51.760 I hope he's still alive.
00:15:53.560 He was a six foot, I think he was six foot eight bearded elf of a guy.
00:15:59.160 And there was just something a little bit more aware about him.
00:16:02.980 You could tell it.
00:16:04.480 It wasn't just that he was smart.
00:16:06.600 He was just seeing things a little more clearly.
00:16:09.120 And when I told him that my data was completely worthless
00:16:12.000 for the intended task of managing his managers,
00:16:15.880 he looked at me and he gave me this red pill that I give to you.
00:16:20.140 I don't care.
00:16:21.760 I'm only going to use it when it agrees with what I was going to do anyway.
00:16:28.320 How's that taste?
00:16:30.540 He wasn't kidding.
00:16:32.380 It's exactly what he did.
00:16:34.400 When there was a manager that he felt, for his own reasons,
00:16:37.520 was not doing the job, he'd check my numbers.
00:16:39.900 If they coincidentally said that manager did not meet their numbers,
00:16:44.300 he'd say, well, okay, good.
00:16:46.080 Hey, you didn't meet your numbers.
00:16:47.180 You're out of here.
00:16:48.320 Not because of the numbers.
00:16:50.200 Because he was going to fire them anyway.
00:16:52.300 And if he found somebody he thought was doing a good job,
00:16:54.780 but their numbers were bad,
00:16:55.880 he'd look at it and he'd say,
00:16:57.240 damn, we better adjust your goals.
00:16:59.500 It looks like we messed up.
00:17:00.520 Now, if you think that data is real,
00:17:07.640 you're not quite out of the children's table.
00:17:11.680 Data is almost always not real.
00:17:15.560 I know.
00:17:16.640 I was in charge of inventing unreal data.
00:17:20.020 It was my professional job to make data that wasn't accurate,
00:17:25.280 and we still used it for decisions.
00:17:26.860 So, if you don't understand that that's the normal way the world works,
00:17:32.520 that's not the exception.
00:17:34.540 It's not the exception,
00:17:36.140 because when I changed to Pacific Bell,
00:17:37.780 it was just more of the same.
00:17:39.240 I had similar kinds of jobs.
00:17:41.540 So, and of course, the Dilbert cartoon was born out of that experience.
00:17:46.560 Specifically, the experience that the insanity that I experienced at one company
00:17:51.840 wasn't limited to that company.
00:17:54.000 The moment I changed jobs,
00:17:57.120 and I realized, you know, my first thought was,
00:17:59.600 I'm free.
00:18:00.720 I'm free.
00:18:01.480 I'm getting away from that company that makes irrational decisions.
00:18:05.220 Finally, I'm at the phone company now,
00:18:08.080 and now it's all going to be, you know, good, rational.
00:18:11.580 No.
00:18:12.740 Nope.
00:18:13.580 That's how the Dilbert cartoon was born.
00:18:15.480 All right, let's talk about some other things.
00:18:18.580 You all know,
00:18:20.120 well, let's talk about some doctors.
00:18:21.340 If you were going to invent a fictional character
00:18:26.860 who was going to appear at this point in history,
00:18:30.840 maybe they existed,
00:18:32.240 but they're going to appear on the scene as a hero,
00:18:35.300 what would be a good fictional name
00:18:38.380 to give somebody who was going to be really smart,
00:18:41.940 but also really strong,
00:18:43.560 and take the whole world on their shoulders?
00:18:46.440 I might give them the name Dr. Scott Atlas.
00:18:52.800 Sounds pretty smart and pretty strong, right?
00:18:55.480 I mean, the Scott part tells you they're smart.
00:18:58.520 The doctor part helps,
00:19:00.240 but it's the Scott part that tells you they're smart.
00:19:03.420 And then the Atlas part,
00:19:05.220 literally based on a mythological creature
00:19:08.160 who could hold the entire earth and heavens on its shoulder.
00:19:12.940 What a great character name for this simulation.
00:19:14.980 Oh, it turns out that that's the new White House medical advisor
00:19:18.860 on the coronavirus.
00:19:20.900 Now, my understanding is
00:19:22.740 that he's pro going back to school
00:19:26.780 and a little bit more pro,
00:19:30.140 let's open things up.
00:19:31.880 I don't know too much about him,
00:19:33.040 so I'm going to look into it a little
00:19:34.080 and get back to you.
00:19:36.840 But speaking of doctors,
00:19:38.180 one of your favorite doctors,
00:19:41.680 Dr. Tadaros,
00:19:44.860 and you know of him from the hydroxychloroquine videos,
00:19:50.360 you know that he's in favor of at least giving it a chance
00:19:54.460 and letting people prescribe it.
00:19:58.980 And he weighed in recently on this herd immunity question,
00:20:02.820 which you've been seeing about.
00:20:04.020 And the question is this.
00:20:05.840 For this specific virus,
00:20:07.640 do we need to get to 60% or 70% infections
00:20:10.380 before we have enough herd immunity?
00:20:13.160 And there are lots of smart people
00:20:15.020 who are saying it doesn't seem to be the case.
00:20:17.900 That it's not a confirmed thing, I would say.
00:20:21.160 But there's strong indication
00:20:22.540 that some people have some kind of natural T cell immunity
00:20:26.600 that's not the kind of immunity you pick up on a test
00:20:30.100 because it's not specific to this virus.
00:20:34.320 And that there may be so many people that have it
00:20:36.580 that real herd immunity comes at lower than 20%.
00:20:40.920 If real herd immunity
00:20:45.540 comes at lower than 20% of people infected,
00:20:50.260 how would we know that's true?
00:20:52.880 What would that look like?
00:20:54.220 Well, it would look a little like Sweden
00:20:58.060 because Sweden, I think, is under 20% infected
00:21:02.680 and they seem to have driven their infections
00:21:06.100 down to nothing or nearly nothing.
00:21:10.180 But that's not a confirmation, right?
00:21:12.620 That's just one piece of data
00:21:14.120 that is compatible with the hypothesis.
00:21:18.240 Being compatible with the hypothesis
00:21:19.960 doesn't prove anything.
00:21:21.080 That's why you have the high-quality studies
00:21:23.920 because these things can be so misleading,
00:21:26.860 can be confirmation bias,
00:21:28.120 can easily be coincidence.
00:21:30.020 But let's look at some other examples.
00:21:32.900 How about the Diamond Princess cruise ship?
00:21:36.240 You've got a bunch of people on the cruise ship
00:21:38.040 in the worst possible circumstances.
00:21:41.240 So in the end,
00:21:42.440 how many of the people on the cruise ship
00:21:44.420 got the coronavirus?
00:21:48.480 19%.
00:21:48.960 Now, that doesn't mean
00:21:52.680 that they reached herd immunity.
00:21:56.280 It doesn't mean that that proves
00:21:57.860 that 20% or so is your limit.
00:22:01.300 It's just a fact
00:22:02.400 that it's compatible with the hypothesis
00:22:05.220 in the same way that Sweden is
00:22:07.560 compatible with the hypothesis,
00:22:09.860 but not proving it.
00:22:12.120 How about jails?
00:22:13.380 Do we know of any jails
00:22:16.380 in which more than 20% of the prisoners
00:22:19.220 got the coronavirus?
00:22:21.820 I don't know,
00:22:23.540 but I don't think so.
00:22:26.260 If that's true,
00:22:28.120 that even in jails,
00:22:30.220 20% was sort of the peak,
00:22:33.520 again, that wouldn't prove anything.
00:22:37.280 It wouldn't even come close
00:22:38.660 to proving anything.
00:22:39.840 But it would be compatible
00:22:41.420 with the hypothesis.
00:22:42.520 And so I ask you this.
00:22:46.260 Can you give me a counterfactual?
00:22:49.180 Can you find a group of people
00:22:50.960 who were as,
00:22:53.140 let's say,
00:22:54.300 in the same place
00:22:55.300 in an extended period of time
00:22:57.180 with massive infections?
00:22:59.580 I don't know what kind of group
00:23:00.780 that would be.
00:23:02.220 But they also never exceeded 20%.
00:23:05.060 Now, it would have to be
00:23:06.440 more than a family.
00:23:08.100 A family doesn't count
00:23:09.500 because you could imagine
00:23:11.260 that they're so close
00:23:12.640 that just everybody gets it.
00:23:14.940 But, well, no.
00:23:16.640 A family would be also,
00:23:19.160 a family wouldn't tell you anything
00:23:20.500 because every family
00:23:22.360 is going to be a special case.
00:23:23.980 It could be that none of them
00:23:25.100 had those T cells
00:23:26.180 because also they never got colds.
00:23:28.740 Could be there's something genetic.
00:23:30.620 Could be if they're African-American,
00:23:32.840 four times more likely
00:23:33.940 to have problems.
00:23:34.620 So you can't look at a family.
00:23:36.540 So give me a group
00:23:38.580 of non-family people.
00:23:41.140 The military.
00:23:43.620 The military.
00:23:45.980 Somebody says the Mumbai slums,
00:23:48.680 they're closer to 50%.
00:23:50.580 I have heard that they're over 20%.
00:23:52.660 And then the confounding variable there
00:23:55.080 is lack of nutrition
00:23:56.420 in a general low health.
00:23:59.760 So could it be
00:24:00.820 that there are other factors?
00:24:03.920 Old folks' homes.
00:24:05.240 All right, there's a good one.
00:24:06.100 Are there any senior homes
00:24:08.840 in which over 20% of them got it?
00:24:12.700 Can somebody get back to me on that?
00:24:16.740 The USS Teddy Roosevelt.
00:24:21.220 Don't know what that is.
00:24:22.660 All right.
00:24:24.340 Somebody says the homeless community.
00:24:26.660 I don't know.
00:24:27.440 They're outdoors.
00:24:29.280 And they also,
00:24:31.460 you know,
00:24:31.820 the thing about the homeless community
00:24:34.020 is that they are probably
00:24:36.020 so exposed
00:24:36.760 to so many things
00:24:39.040 that are bad for them
00:24:39.960 that I wonder
00:24:41.640 if the coronavirus
00:24:42.340 even has a chance.
00:24:44.340 I mean,
00:24:44.540 I think if you're a homeless person
00:24:45.920 and the coronavirus shows up,
00:24:48.280 you're like,
00:24:48.940 your body is like,
00:24:49.900 coronavirus,
00:24:50.860 all right,
00:24:51.100 coronavirus is here.
00:24:52.940 You're going to have to get
00:24:53.960 in the back of the line.
00:24:55.580 Do you see tuberculosis?
00:24:57.360 Yeah,
00:24:57.620 get behind that.
00:24:58.360 So I'm not sure
00:25:00.720 that the homeless population
00:25:01.860 can tell us anything
00:25:03.440 about those of us
00:25:04.560 who do not have
00:25:05.560 a persistently challenged
00:25:08.180 immune system
00:25:09.020 as they do.
00:25:11.800 Now let's get to the question
00:25:13.320 of kids spreading.
00:25:16.200 Here's what I believe.
00:25:17.560 If you have a definite opinion
00:25:20.840 about whether kids
00:25:22.680 will spread to adults,
00:25:25.160 you are not being rational.
00:25:30.320 You could definitely
00:25:31.400 have a statistical opinion
00:25:33.160 as in,
00:25:34.220 you know,
00:25:34.600 I've looked at it
00:25:35.360 and I feel like
00:25:36.800 all things considered,
00:25:38.240 it's a good risk.
00:25:39.860 Well,
00:25:40.080 that would be reasonable.
00:25:41.340 It's reasonable to say,
00:25:42.400 I don't know,
00:25:43.780 but it feels like
00:25:44.540 90% sure.
00:25:47.060 That would be okay.
00:25:48.520 I'm not sure
00:25:49.100 the data would support
00:25:50.060 a 90% uncertainty,
00:25:51.500 but you wouldn't be crazy.
00:25:53.820 But if you say,
00:25:55.160 kids do not give it to adults,
00:25:58.040 you're not qualified
00:26:00.060 for the rest of the conversation.
00:26:02.100 Because you don't know that.
00:26:04.260 You don't know that.
00:26:06.460 And science doesn't know that.
00:26:09.680 All right?
00:26:10.040 So there's speculation only.
00:26:11.940 So please remove your certainty
00:26:14.620 about what kids do
00:26:16.640 or do not do.
00:26:17.960 And if you're talking about
00:26:19.140 this going back to school question,
00:26:22.460 which by the way,
00:26:23.160 I'm in favor of
00:26:24.120 that we go back to school,
00:26:26.680 don't tell me
00:26:28.220 that you know
00:26:28.840 that that won't affect,
00:26:30.400 that that won't take
00:26:31.560 the virus home to grandma.
00:26:33.260 And let me give it to you
00:26:34.400 in these terms.
00:26:35.980 Would you all agree
00:26:36.980 that there are
00:26:38.340 tens of thousands
00:26:39.240 of children
00:26:39.980 infected in this country?
00:26:42.380 That fact you can agree on,
00:26:44.100 right?
00:26:44.260 You can look it up.
00:26:45.060 And would you agree
00:26:46.440 that worldwide
00:26:47.800 there are hundreds
00:26:49.700 of thousands
00:26:50.340 of children
00:26:50.960 that are infected?
00:26:53.420 Do we agree
00:26:54.160 with that so far?
00:26:55.880 The hundreds
00:26:56.420 of thousands
00:26:56.980 of children
00:26:57.460 are infected?
00:26:58.660 Secondly,
00:26:59.560 do we agree,
00:27:00.700 I think we do,
00:27:01.920 that the number
00:27:03.540 of them
00:27:03.880 that are
00:27:04.600 asymptomatic
00:27:06.100 and will never
00:27:06.760 have a problem
00:27:07.500 is nearly all of them.
00:27:10.160 It's not 100%,
00:27:11.500 but it's close.
00:27:12.960 Do we agree
00:27:14.460 on that?
00:27:15.480 Hundreds of thousands
00:27:16.460 of kids have it
00:27:17.320 and almost never
00:27:19.960 do they get sick.
00:27:20.820 They do.
00:27:21.620 There are cases
00:27:22.220 where they do,
00:27:23.120 but it's very rare.
00:27:24.460 So that's the part
00:27:25.340 we agree on.
00:27:26.400 Here's the question.
00:27:28.200 How'd they get it?
00:27:31.660 You ready for that?
00:27:33.220 How did the kids get it?
00:27:35.660 Did they all get it
00:27:36.800 from adults?
00:27:39.880 Don't know, do you?
00:27:41.460 Do you think
00:27:42.240 just use your experience.
00:27:45.300 Think about the kids
00:27:46.340 you know
00:27:46.780 who have ever
00:27:47.320 gotten a cold.
00:27:49.260 Did the kids
00:27:49.820 get the cold at home?
00:27:51.220 Sometimes.
00:27:52.700 Sometimes.
00:27:54.120 Did the kids
00:27:55.300 get the cold
00:27:56.200 from other kids?
00:27:59.520 Pretty much every time.
00:28:01.880 I mean, not every time,
00:28:02.880 but I don't know
00:28:04.360 if I would even put it
00:28:05.540 more than 50%.
00:28:06.780 But I think
00:28:08.480 you all have the experience
00:28:09.480 if you've had kids
00:28:10.360 in the house
00:28:10.920 that if something's
00:28:12.400 going around at school,
00:28:14.660 not talking about
00:28:15.720 the coronavirus,
00:28:16.580 but other things,
00:28:18.120 that's a little bit
00:28:19.140 more of an incubator
00:28:20.260 than even at home.
00:28:22.240 But at home,
00:28:23.040 you can get stuff too,
00:28:23.900 of course.
00:28:25.640 Here's my challenge
00:28:26.840 to you.
00:28:28.080 Figure out how
00:28:29.020 kids got it.
00:28:30.820 If kids
00:28:31.820 only get it
00:28:32.920 from parents,
00:28:34.440 but kids
00:28:35.740 can't give it
00:28:36.420 to other kids,
00:28:37.320 and kids
00:28:38.520 can't give it
00:28:39.140 to adults,
00:28:40.540 I would be
00:28:42.000 very, very surprised.
00:28:44.260 Wouldn't you?
00:28:45.600 Do you think
00:28:46.060 that's what it looks like?
00:28:47.460 Do you think
00:28:48.000 that all those kids
00:28:48.900 got it from adults,
00:28:50.320 but weirdly,
00:28:51.440 they can't give it
00:28:52.200 to adults?
00:28:53.200 And weirdly,
00:28:54.120 they can't give it
00:28:54.880 to each other.
00:28:56.260 You think?
00:28:57.660 No.
00:28:58.980 It's,
00:28:59.860 to me,
00:29:00.440 if I had to place
00:29:01.240 a bet on this,
00:29:02.580 I'd say that kids
00:29:03.520 get it from other kids,
00:29:04.700 they're mostly
00:29:07.060 asymptomatic,
00:29:08.480 and that the kids
00:29:09.500 who probably have it
00:29:10.640 because they're playing
00:29:11.180 with their friends,
00:29:12.140 you know,
00:29:12.960 when they're not
00:29:13.900 in school,
00:29:14.720 but they're not
00:29:15.600 playing with as many
00:29:16.480 of them,
00:29:16.900 and they're more
00:29:17.580 likely to be outdoors,
00:29:18.740 I would think,
00:29:19.620 especially since
00:29:20.400 they're keeping away
00:29:21.260 from the adults
00:29:22.500 a little bit.
00:29:24.060 So,
00:29:24.680 if you can answer me
00:29:25.740 how the kids
00:29:26.560 get it,
00:29:27.820 I might be
00:29:28.600 open to the argument
00:29:29.940 that they're
00:29:31.500 unlikely to give
00:29:32.820 it to parents.
00:29:34.700 But,
00:29:35.560 to me,
00:29:35.980 the most reasonable
00:29:37.080 expectation
00:29:38.480 is that kids
00:29:39.780 give it to other kids,
00:29:40.920 that's how they,
00:29:41.900 probably half of them
00:29:42.840 got it,
00:29:43.840 and that of course
00:29:44.680 they would give it
00:29:45.260 to adults.
00:29:46.360 Of course they would.
00:29:47.760 Are there any cases
00:29:48.700 where teachers
00:29:49.460 have gotten it?
00:29:50.780 Yes,
00:29:51.420 in Sweden.
00:29:52.440 In Sweden,
00:29:53.380 there are news stories
00:29:54.300 of a bunch of teachers
00:29:55.720 at some place
00:29:57.120 who got it,
00:29:57.880 but,
00:29:59.100 they didn't study
00:29:59.940 it so well.
00:30:00.900 In other words,
00:30:01.460 they didn't do
00:30:01.940 contact tracing,
00:30:03.100 so we don't know
00:30:04.160 if one teacher
00:30:05.100 got it
00:30:05.560 and gave it
00:30:06.080 to the other teachers
00:30:06.920 or if some student
00:30:08.280 gave it to one teacher
00:30:09.360 who gave it to the other,
00:30:10.060 we don't know.
00:30:11.760 But,
00:30:12.400 the question of
00:30:13.480 whether working teachers
00:30:15.240 will get coronavirus
00:30:16.280 and they'll spread it
00:30:18.220 in a school environment,
00:30:19.580 I think,
00:30:19.960 is answered.
00:30:21.180 The answer is yes.
00:30:22.780 How often?
00:30:24.520 Don't know.
00:30:25.940 Could be not often.
00:30:28.280 All right.
00:30:28.620 With all of that said,
00:30:32.640 how is it we still
00:30:33.620 don't know
00:30:34.220 if herd immunity
00:30:35.760 is a thing
00:30:36.540 and at what level
00:30:38.180 it happens?
00:30:39.400 How is it we still
00:30:40.420 don't know
00:30:40.960 if kids spread
00:30:42.200 to adults
00:30:43.820 and if you think
00:30:45.740 you know,
00:30:46.940 you really need
00:30:47.600 to talk yourself
00:30:48.280 out of that.
00:30:48.780 You don't know.
00:30:50.620 That's a little bit
00:30:51.320 of hopeful thinking
00:30:52.740 that it doesn't happen.
00:30:54.340 I just saw
00:30:55.400 an article
00:30:55.780 that said
00:30:56.260 there's no evidence
00:30:57.780 of kids
00:30:58.580 spreading to teachers.
00:31:00.960 There's no evidence
00:31:02.100 of it.
00:31:03.440 Do you know
00:31:03.680 what there's also
00:31:04.240 no evidence of?
00:31:05.860 That if we disbanded
00:31:07.380 the military
00:31:08.060 in this country
00:31:08.820 that we would be
00:31:10.240 in trouble
00:31:10.720 or taken over
00:31:12.100 by another country.
00:31:13.180 It's never happened.
00:31:14.720 Never happened.
00:31:15.560 So,
00:31:16.200 let's get rid
00:31:17.100 of our military.
00:31:18.340 Because there's not
00:31:18.980 a single example
00:31:20.120 of the United States
00:31:22.920 being taken over
00:31:23.820 by another country.
00:31:24.660 so no military
00:31:26.600 needed.
00:31:27.720 I mean,
00:31:28.140 the fact that
00:31:28.780 there's no evidence
00:31:30.000 of a kid
00:31:32.280 giving it
00:31:32.740 to a teacher,
00:31:34.120 you should
00:31:34.580 discount
00:31:36.780 the value
00:31:37.500 of that information
00:31:38.400 to zero.
00:31:39.920 Because you know
00:31:40.500 what else
00:31:40.760 we don't know?
00:31:42.760 Everything.
00:31:44.560 You know
00:31:45.140 what else
00:31:45.400 we don't know
00:31:46.020 about the coronavirus
00:31:46.760 and how it spreads
00:31:47.820 and how to treat it?
00:31:49.360 Everything.
00:31:50.520 Everything is up.
00:31:51.880 We don't know
00:31:52.440 if the masks
00:31:53.220 work or not.
00:31:54.660 I mean,
00:31:55.120 there's still
00:31:55.420 debate on that.
00:31:56.700 We don't know
00:31:57.140 if hydroxychloroquine
00:31:58.420 works.
00:31:59.100 We don't know
00:31:59.760 if herd immunity
00:32:01.040 is coming soon
00:32:02.200 or later.
00:32:03.500 We don't know.
00:32:05.520 So,
00:32:06.280 as soon as you feel
00:32:07.220 you're certain
00:32:07.820 about any of this,
00:32:08.860 I think you're
00:32:09.360 on uncertain territory.
00:32:11.900 well,
00:32:14.280 look at this.
00:32:15.120 Look at the time.
00:32:17.120 It looks like
00:32:17.780 I can tell you
00:32:19.580 that there's
00:32:20.720 a new poll out
00:32:22.900 on the question
00:32:25.040 of teachers' unions
00:32:26.020 comparing what
00:32:27.720 people think
00:32:28.380 of teachers' unions
00:32:29.320 now
00:32:30.320 compared to
00:32:31.260 how they thought
00:32:31.920 last year.
00:32:33.080 And this is
00:32:33.600 from Rasmussen.
00:32:34.580 So Rasmussen
00:32:36.100 asked people
00:32:37.020 their opinions
00:32:37.740 on
00:32:38.800 teachers' unions.
00:32:44.340 Yeah.
00:32:45.580 And what do you think,
00:32:46.580 how do you think
00:32:47.020 that came out?
00:32:49.160 And so this is
00:32:49.920 brand new.
00:32:50.460 I think it's breaking.
00:32:51.720 It's probably getting
00:32:52.660 published right now
00:32:53.660 as I'm talking.
00:32:54.220 39% of American
00:32:57.560 adults
00:32:58.020 still think
00:32:58.880 it's a good thing
00:32:59.680 that most teachers
00:33:00.580 belong to a public
00:33:01.920 employees' union.
00:33:04.240 All right?
00:33:04.640 So at the moment,
00:33:05.760 39%
00:33:06.700 think it's good
00:33:08.180 that teachers
00:33:08.660 have a union.
00:33:10.520 That's down
00:33:11.340 from 45%
00:33:12.540 last year.
00:33:14.560 So they've gone
00:33:15.600 from 45%
00:33:16.580 to 39%
00:33:17.460 in one year.
00:33:19.820 That's kind
00:33:20.700 of a big drop.
00:33:21.460 But it is
00:33:24.360 back to levels
00:33:25.080 measured
00:33:25.840 several years
00:33:27.880 ago.
00:33:29.520 And
00:33:29.980 33%
00:33:31.420 now say
00:33:31.980 it's a bad
00:33:32.500 thing that
00:33:33.020 teachers are
00:33:33.780 unionized.
00:33:35.280 So do you
00:33:35.720 know what I
00:33:36.100 say
00:33:36.440 to the
00:33:38.620 popularity
00:33:41.020 of teachers'
00:33:41.920 unions
00:33:42.160 from people
00:33:42.960 who are not
00:33:43.380 teachers,
00:33:44.000 looking at them
00:33:44.560 from the
00:33:44.740 outside?
00:33:45.600 Do you know
00:33:45.940 what I say
00:33:46.380 about the
00:33:46.880 declining
00:33:47.520 approval
00:33:48.900 of the
00:33:49.460 teachers'
00:33:49.940 unions?
00:33:50.220 here's what
00:33:51.780 I say.
00:33:53.760 Hold
00:33:54.280 my beer
00:33:55.140 because I'm
00:33:56.500 going to
00:33:56.700 drive that.
00:33:58.380 I want to
00:33:59.200 swear,
00:34:00.100 but I'm
00:34:00.780 not going
00:34:01.220 to.
00:34:02.100 I pulled
00:34:02.800 myself back
00:34:03.540 from the
00:34:03.880 edge.
00:34:04.880 Please insert
00:34:05.720 a mental
00:34:06.400 swear word
00:34:07.220 where it's
00:34:08.220 needed.
00:34:09.000 I'm going
00:34:09.340 to leave
00:34:09.640 you a space
00:34:10.140 for it.
00:34:10.980 Okay?
00:34:11.780 You can
00:34:12.420 put the
00:34:12.920 F word
00:34:14.380 in there
00:34:14.780 and you'll
00:34:16.400 feel the
00:34:16.800 space.
00:34:18.080 All right?
00:34:18.240 it's
00:34:19.620 going
00:34:19.840 like
00:34:20.120 this.
00:34:21.380 Hold
00:34:21.820 my
00:34:22.300 okay,
00:34:26.020 you filled
00:34:26.340 it in.
00:34:27.140 Beer.
00:34:28.940 I'm
00:34:29.280 going to
00:34:29.520 drive
00:34:29.920 that
00:34:30.380 fill
00:34:32.600 in the
00:34:32.960 blank
00:34:33.240 statistic
00:34:35.660 into
00:34:36.200 the
00:34:36.620 blank
00:34:38.220 fill
00:34:39.020 in the
00:34:39.220 blank
00:34:39.560 teens.
00:34:41.100 I'm
00:34:42.780 going to
00:34:43.020 blow that
00:34:43.600 number
00:34:43.920 into the
00:34:44.520 teens
00:34:45.000 and then
00:34:46.080 we're
00:34:46.260 going to
00:34:46.500 dismantle
00:34:47.200 the
00:34:48.040 teachers
00:34:48.360 unions
00:34:48.800 and we're
00:34:50.020 going to
00:34:50.200 give the
00:34:51.260 black
00:34:51.780 citizens
00:34:52.280 of this
00:34:52.800 country
00:34:53.160 the first
00:34:54.220 break that
00:34:54.880 they've
00:34:55.120 had in
00:34:55.460 a long
00:34:55.840 time
00:34:56.300 which is
00:34:57.640 maybe a
00:34:58.440 chance at
00:34:58.920 a good
00:34:59.200 education
00:34:59.780 for the
00:35:01.660 majority.
00:35:03.660 I think
00:35:04.580 we can
00:35:04.840 do this.
00:35:06.960 So
00:35:07.200 watch for
00:35:08.900 that.
00:35:11.100 Have I
00:35:12.120 ever
00:35:12.340 mentioned
00:35:12.780 that I
00:35:15.760 always get
00:35:16.200 my way
00:35:16.600 in the
00:35:16.840 long run?
00:35:18.960 We'll
00:35:19.540 see if
00:35:19.820 that's
00:35:20.060 true.
00:35:21.460 There's
00:35:21.880 a video
00:35:22.240 of
00:35:22.780 LA
00:35:23.660 County
00:35:24.040 sheriffs
00:35:24.480 pointing
00:35:25.600 their
00:35:26.080 weapons
00:35:27.740 at
00:35:29.020 allegedly
00:35:29.900 three
00:35:30.280 black
00:35:30.580 teens
00:35:30.960 who
00:35:31.180 were
00:35:31.320 allegedly
00:35:31.720 victims
00:35:32.260 of a
00:35:33.100 homeless
00:35:33.760 person
00:35:34.220 allegedly
00:35:34.700 attacking
00:35:35.260 them.
00:35:36.100 So
00:35:36.340 there's
00:35:36.540 lots of
00:35:36.860 alleged
00:35:37.160 lees
00:35:37.500 in this
00:35:38.220 story.
00:35:39.400 So
00:35:39.520 the
00:35:39.680 video
00:35:40.020 is of
00:35:40.800 the
00:35:41.200 police
00:35:41.960 who
00:35:42.620 are
00:35:42.740 clearly
00:35:43.140 aiming
00:35:43.540 their
00:35:44.220 rifles
00:35:46.860 at
00:35:48.400 somebody
00:35:49.160 who's
00:35:49.500 not
00:35:49.720 in the
00:35:50.140 scene.
00:35:51.980 And
00:35:52.220 the
00:35:52.780 thinking
00:35:53.080 is
00:35:53.340 hey
00:35:53.540 hey
00:35:53.740 they're
00:35:54.240 aiming
00:35:54.520 those
00:35:54.800 rifles
00:35:55.100 at
00:35:55.340 the
00:35:55.580 three
00:35:56.300 black
00:35:56.700 teens
00:35:57.280 even
00:35:57.740 though
00:35:57.960 they
00:35:58.140 were
00:35:58.260 the
00:35:58.400 victims.
00:35:59.860 So
00:36:00.040 how do
00:36:00.360 you
00:36:00.400 explain
00:36:00.680 that?
00:36:01.300 And
00:36:01.380 all
00:36:01.540 the
00:36:01.800 spectators
00:36:02.660 will
00:36:02.860 yell
00:36:03.060 no
00:36:03.280 no
00:36:03.460 no
00:36:03.780 they're
00:36:04.800 the
00:36:04.940 victims
00:36:05.340 don't
00:36:06.000 aim
00:36:06.240 your
00:36:06.420 guns
00:36:06.700 at
00:36:06.880 them.
00:36:07.700 If
00:36:08.280 you
00:36:08.440 think
00:36:08.780 that
00:36:09.000 you
00:36:09.180 learned
00:36:09.560 something
00:36:10.000 from
00:36:10.360 that
00:36:10.640 story
00:36:11.100 you
00:36:12.360 are
00:36:12.560 so
00:36:12.840 wrong.
00:36:14.200 Video
00:36:14.640 lies
00:36:15.580 100%
00:36:16.840 of the
00:36:17.260 time.
00:36:18.320 Video
00:36:18.760 can't
00:36:19.240 tell the
00:36:19.580 truth.
00:36:20.420 It
00:36:20.520 can't.
00:36:21.260 Because
00:36:21.620 video
00:36:21.980 can't
00:36:22.340 give you
00:36:22.600 context.
00:36:23.700 Video
00:36:24.100 gives you
00:36:24.540 what it
00:36:24.800 gives you
00:36:25.220 it leaves
00:36:26.200 out
00:36:26.440 context.
00:36:27.700 So
00:36:27.860 does
00:36:28.380 video
00:36:28.740 lie?
00:36:29.780 100%
00:36:30.780 of the
00:36:31.040 time
00:36:31.240 it
00:36:31.380 lies.
00:36:31.840 It's
00:36:31.960 only a
00:36:32.220 question
00:36:32.440 of how
00:36:32.700 much
00:36:32.940 it's
00:36:33.120 lying.
00:36:33.420 So
00:36:34.340 if
00:36:34.480 you
00:36:34.620 say
00:36:34.880 I
00:36:35.140 saw
00:36:35.400 the
00:36:35.580 video
00:36:35.980 duh
00:36:36.560 it's
00:36:37.080 true
00:36:37.380 well
00:36:38.120 you
00:36:38.280 don't
00:36:38.440 know
00:36:38.600 how
00:36:38.760 anything
00:36:39.040 works.
00:36:40.060 That's
00:36:40.340 not
00:36:40.500 how
00:36:40.660 it
00:36:40.780 works.
00:36:41.500 If
00:36:41.720 you
00:36:41.880 saw
00:36:42.080 the
00:36:42.240 video
00:36:42.660 well
00:36:43.140 you
00:36:43.260 should
00:36:43.440 say
00:36:43.680 yes
00:36:44.060 I
00:36:44.500 saw
00:36:44.680 the
00:36:44.840 video
00:36:45.040 I
00:36:45.240 was
00:36:45.380 misled.
00:36:47.000 That's
00:36:47.340 what
00:36:47.460 you
00:36:47.580 should
00:36:47.720 say
00:36:47.920 yeah
00:36:48.180 I
00:36:48.360 saw
00:36:48.500 the
00:36:48.640 video
00:36:48.840 so
00:36:49.040 I
00:36:49.200 know
00:36:49.580 what
00:36:49.760 didn't
00:36:50.020 happen.
00:36:51.320 What
00:36:51.560 didn't
00:36:52.000 happen
00:36:52.360 is
00:36:52.760 whatever
00:36:52.980 you
00:36:53.200 thought
00:36:53.480 you
00:36:53.680 saw
00:36:54.000 with
00:36:54.760 that
00:36:54.940 video.
00:36:56.200 So
00:36:56.320 will
00:37:03.420 their
00:37:03.700 weapons
00:37:04.060 yes
00:37:05.120 yes
00:37:06.220 it's
00:37:06.460 going
00:37:06.600 to
00:37:06.680 come
00:37:06.860 out
00:37:07.180 that
00:37:07.660 there
00:37:07.840 was
00:37:08.000 a
00:37:08.180 reason
00:37:08.600 that
00:37:09.200 they
00:37:09.340 pointed
00:37:09.620 their
00:37:09.860 weapons
00:37:10.300 now
00:37:10.940 maybe
00:37:11.480 that
00:37:11.800 they
00:37:11.960 didn't
00:37:12.140 have
00:37:12.320 all
00:37:12.460 the
00:37:12.600 information
00:37:13.120 because
00:37:13.840 there's
00:37:14.060 some
00:37:14.240 suggestion
00:37:14.700 that
00:37:15.420 they
00:37:15.580 didn't
00:37:15.780 know
00:37:15.960 what
00:37:16.120 they
00:37:16.240 were
00:37:16.360 coming
00:37:16.680 upon
00:37:17.100 so
00:37:18.060 since
00:37:18.660 it
00:37:18.820 looked
00:37:18.980 dangerous
00:37:19.420 and
00:37:19.660 they
00:37:19.800 didn't
00:37:20.000 know
00:37:20.220 it
00:37:20.380 was
00:37:20.520 dangerous
00:37:20.880 in
00:37:21.100 what
00:37:21.300 particular
00:37:21.840 way
00:37:22.240 they
00:37:22.980 just
00:37:23.200 pointed
00:37:23.500 their
00:37:23.720 guns
00:37:23.960 at
00:37:24.120 everybody
00:37:24.460 until
00:37:24.760 they
00:37:24.960 could
00:37:25.120 sort
00:37:25.360 it
00:37:25.520 out
00:37:25.800 now
00:37:26.840 they
00:37:28.560 kept
00:37:28.940 pointing
00:37:29.300 their
00:37:29.580 guns
00:37:29.880 for
00:37:30.080 what
00:37:30.280 seemed
00:37:30.540 like
00:37:30.800 too
00:37:31.000 long
00:37:31.380 do
00:37:32.140 you
00:37:32.260 imagine
00:37:32.620 if
00:37:32.880 you'd
00:37:33.100 seen
00:37:33.340 the rest
00:37:33.740 of the
00:37:34.020 scene
00:37:34.360 whatever
00:37:34.740 was
00:37:35.060 off
00:37:35.400 camera
00:37:35.780 do
00:37:36.440 you
00:37:36.540 think
00:37:36.760 that
00:37:36.940 the
00:37:37.080 three
00:37:37.320 black
00:37:37.720 youth
00:37:38.100 were
00:37:38.640 saying
00:37:38.960 oh
00:37:39.240 okay
00:37:39.720 glad
00:37:40.060 you're
00:37:40.280 here
00:37:40.540 thank
00:37:41.620 you
00:37:41.880 officers
00:37:42.500 I'm
00:37:43.260 glad
00:37:43.460 you're
00:37:43.680 here
00:37:43.940 let
00:37:44.840 let
00:37:44.860 us
00:37:45.240 make
00:37:45.460 sure
00:37:45.620 that
00:37:45.840 you
00:37:46.020 see
00:37:46.360 we
00:37:46.520 don't
00:37:46.680 have
00:37:46.860 any
00:37:47.000 weapons
00:37:47.440 it's
00:37:48.100 this
00:37:48.220 homeless
00:37:48.500 guy
00:37:48.900 I've
00:37:50.080 got
00:37:50.220 a
00:37:50.420 little
00:37:50.640 cut
00:37:50.900 here
00:37:51.200 can
00:37:51.720 you
00:37:51.800 give
00:37:58.560 off
00:37:58.740 from
00:37:59.380 what
00:37:59.560 the
00:37:59.720 trouble
00:37:59.960 was
00:38:00.360 and
00:38:00.520 said
00:38:00.660 oh
00:38:00.880 thank
00:38:01.180 god
00:38:01.500 you're
00:38:01.720 here
00:38:01.960 can
00:38:02.520 you
00:38:02.640 arrest
00:38:02.940 this
00:38:03.160 guy
00:38:03.400 I
00:38:04.240 don't
00:38:04.400 think
00:38:04.700 so
00:38:05.020 I
00:38:06.080 think
00:38:06.300 that
00:38:06.480 there
00:38:06.640 was
00:38:06.800 something
00:38:07.140 happening
00:38:07.640 that
00:38:07.900 made
00:38:08.100 that
00:38:08.300 situation
00:38:08.840 a little
00:38:09.180 ambiguous
00:38:09.720 and
00:38:10.580 we're
00:38:10.760 going
00:38:10.880 to
00:38:10.980 learn
00:38:11.180 that
00:38:11.500 all
00:38:12.060 right
00:38:12.240 and
00:38:13.320 by
00:38:13.520 ambiguous
00:38:13.900 I
00:38:14.240 don't
00:38:14.480 mean
00:38:14.700 that
00:38:14.900 the
00:38:15.140 black
00:38:15.580 youth
00:38:15.940 were
00:38:16.180 guilty
00:38:16.540 of
00:38:16.820 anything
00:38:17.240 I
00:38:17.540 just
00:38:17.720 mean
00:38:17.860 that
00:38:18.020 the
00:38:18.180 situation
00:38:18.660 may
00:38:18.960 have
00:38:19.020 been
00:38:19.240 hard
00:38:19.960 to
00:38:20.180 sort
00:38:20.420 out
00:38:20.700 when
00:38:21.160 you
00:38:21.280 first
00:38:21.560 showed
00:38:22.040 up
00:38:22.280 that's
00:38:22.640 all
00:38:22.740 I
00:38:22.840 mean
00:38:23.000 let's
00:38:26.600 see
00:38:26.700 what
00:38:26.820 else
00:38:26.960 we
00:38:27.080 got
00:38:27.300 how
00:38:28.860 about
00:38:29.220 the
00:38:29.620 so
00:38:31.920 apparently
00:38:32.300 Q
00:38:32.880 or
00:38:33.460 Q
00:38:33.800 Anon
00:38:34.240 has
00:38:35.040 gone
00:38:35.320 worldwide
00:38:36.060 did
00:38:36.600 you
00:38:36.700 know
00:38:36.840 that
00:38:37.100 so
00:38:38.680 instead
00:38:38.960 of
00:38:39.120 being
00:38:39.340 a
00:38:39.660 silly
00:38:40.160 American
00:38:41.160 thing
00:38:41.600 Q
00:38:42.520 has
00:38:42.780 apparently
00:38:43.120 gone
00:38:43.400 worldwide
00:38:43.920 and
00:38:44.800 it's
00:38:45.060 becoming
00:38:45.500 I
00:38:46.440 would
00:38:46.640 argue
00:38:46.960 a
00:38:47.480 bit
00:38:47.640 of
00:38:47.780 a
00:38:48.020 religion
00:38:48.660 now
00:38:49.880 not
00:38:50.380 quite
00:38:50.880 yet
00:38:51.300 but
00:38:52.060 it's
00:38:52.240 moving
00:38:52.520 in
00:38:52.700 that
00:38:52.860 direction
00:38:53.240 and
00:38:54.060 you
00:38:54.220 might
00:38:54.400 say
00:38:54.580 to
00:38:54.680 yourself
00:38:55.000 I
00:38:56.380 don't
00:38:56.620 quite
00:38:56.900 understand
00:38:57.520 why
00:38:57.800 that's
00:38:58.180 spreading
00:38:58.900 isn't
00:39:00.340 that
00:39:00.600 so
00:39:00.980 obviously
00:39:01.600 not
00:39:02.080 true
00:39:02.500 that
00:39:02.840 it
00:39:03.040 couldn't
00:39:03.640 possibly
00:39:04.220 spread
00:39:04.720 I
00:39:05.460 mean
00:39:05.580 how
00:39:05.780 do
00:39:05.900 we
00:39:06.020 not
00:39:06.240 have
00:39:06.520 herd
00:39:06.860 immunity
00:39:07.280 against
00:39:07.740 Q
00:39:08.140 you
00:39:08.820 know
00:39:08.940 what
00:39:09.040 I
00:39:09.120 mean
00:39:09.280 there
00:39:09.500 should
00:39:09.660 be
00:39:09.880 enough
00:39:10.760 people
00:39:11.040 in
00:39:11.180 your
00:39:11.300 family
00:39:11.780 or
00:39:12.020 your
00:39:12.220 social
00:39:12.600 circle
00:39:13.000 to
00:39:13.220 say
00:39:13.420 yeah
00:39:14.780 Bob
00:39:15.220 I
00:39:15.460 know
00:39:16.060 you're
00:39:16.320 interested
00:39:16.860 in
00:39:17.020 this
00:39:17.160 stuff
00:39:17.420 but
00:39:17.700 I
00:39:20.880 too
00:39:21.040 credible
00:39:21.500 to
00:39:21.760 me
00:39:22.000 well
00:39:22.840 let
00:39:23.020 me
00:39:23.180 suggest
00:39:23.980 this
00:39:24.580 for
00:39:24.920 context
00:39:25.520 let's
00:39:27.020 bring
00:39:27.260 science
00:39:27.940 into
00:39:28.200 it
00:39:28.820 does
00:39:30.020 science
00:39:30.420 say
00:39:30.760 that
00:39:31.000 you
00:39:31.160 will
00:39:31.320 be
00:39:31.460 more
00:39:31.780 addicted
00:39:32.220 to
00:39:32.540 something
00:39:32.880 if
00:39:33.320 it
00:39:33.520 gives
00:39:34.120 you
00:39:34.300 a
00:39:34.520 reward
00:39:35.220 every
00:39:36.100 single
00:39:36.480 time
00:39:36.980 or
00:39:37.980 does
00:39:38.200 science
00:39:38.560 say
00:39:38.740 that
00:39:38.920 you
00:39:39.000 will
00:39:39.120 be
00:39:39.240 more
00:39:39.540 addicted
00:39:40.000 to
00:39:40.260 something
00:39:40.620 if
00:39:41.420 it
00:39:41.580 pays
00:39:41.920 off
00:39:42.280 sometimes
00:39:43.560 but
00:39:44.020 you
00:39:44.160 can't
00:39:44.480 tell
00:39:44.680 when
00:39:45.060 answer
00:39:46.420 you
00:39:47.340 will
00:39:47.540 be
00:39:47.700 more
00:39:48.060 addictive
00:39:48.520 more
00:39:49.680 addicted
00:39:50.060 if
00:39:51.020 the
00:39:51.240 payoffs
00:39:51.740 are
00:39:52.000 unpredictable
00:39:52.940 meaning
00:39:53.920 sometimes
00:39:54.600 you get
00:39:54.940 a
00:39:55.040 payoff
00:39:55.440 sometimes
00:39:56.680 you
00:39:57.020 don't
00:39:57.400 and
00:39:57.580 you
00:39:57.720 really
00:39:57.920 can't
00:39:58.280 tell
00:39:58.440 in
00:39:58.560 advance
00:39:58.920 when
00:39:59.160 that's
00:39:59.440 going
00:39:59.620 to
00:39:59.700 be
00:39:59.900 that
00:40:00.720 one
00:40:00.980 causes
00:40:01.600 addiction
00:40:02.120 what
00:40:02.880 is
00:40:03.080 Q
00:40:03.420 Q
00:40:04.220 is
00:40:04.400 a
00:40:04.520 bunch
00:40:04.740 of
00:40:04.960 predictions
00:40:05.540 often
00:40:06.580 with
00:40:07.280 enough
00:40:07.600 vagueness
00:40:09.300 that
00:40:09.600 you
00:40:09.720 could
00:40:09.920 fit
00:40:10.240 them
00:40:10.420 to
00:40:10.560 different
00:40:10.860 situations
00:40:11.540 but
00:40:12.320 does
00:40:12.960 Q
00:40:13.320 get
00:40:13.620 big
00:40:14.000 things
00:40:14.500 wrong
00:40:14.980 such
00:40:15.340 as
00:40:15.680 arresting
00:40:17.000 Hillary
00:40:17.320 Clinton
00:40:17.740 was
00:40:18.400 one
00:40:18.600 of
00:40:18.680 them
00:40:18.860 yes
00:40:19.900 does
00:40:20.740 it
00:40:20.900 matter
00:40:21.300 that
00:40:21.780 they
00:40:21.920 get
00:40:22.120 things
00:40:22.440 wrong
00:40:22.820 because
00:40:23.420 you
00:40:23.620 say
00:40:23.780 to
00:40:23.900 yourself
00:40:24.220 if
00:40:24.980 you
00:40:25.120 see
00:40:25.340 them
00:40:25.540 getting
00:40:25.780 things
00:40:26.200 wrong
00:40:26.720 doesn't
00:40:27.520 that
00:40:27.700 disprove
00:40:28.260 the
00:40:28.460 whole
00:40:28.820 we have
00:40:29.960 insider
00:40:30.400 information
00:40:30.940 thing
00:40:31.360 I mean
00:40:32.240 they'd
00:40:32.660 never
00:40:32.860 be
00:40:33.080 wrong
00:40:33.360 if
00:40:33.540 it
00:40:33.620 was
00:40:33.740 insider
00:40:34.080 information
00:40:34.880 or
00:40:35.520 rarely
00:40:35.860 wrong
00:40:36.180 but
00:40:37.420 that's
00:40:37.680 not
00:40:37.840 how
00:40:37.980 the
00:40:38.140 brain
00:40:38.380 works
00:40:38.780 if
00:40:39.640 you're
00:40:39.960 if
00:40:40.220 you bought
00:40:40.600 into
00:40:40.840 Q
00:40:41.160 and
00:40:41.740 you see
00:40:42.080 them
00:40:42.300 get
00:40:42.480 one
00:40:42.820 thing
00:40:43.160 right
00:40:43.580 and
00:40:44.200 three
00:40:44.540 things
00:40:45.000 wrong
00:40:45.400 will
00:40:46.260 you
00:40:46.480 be
00:40:46.660 more
00:40:47.040 attracted
00:40:47.540 to
00:40:47.840 it
00:40:48.040 or
00:40:48.300 less
00:40:48.980 you
00:40:50.140 want
00:40:50.500 to
00:40:50.640 say
00:40:50.840 less
00:40:51.260 don't
00:40:51.580 you
00:40:51.760 you
00:40:52.500 want
00:40:52.700 to
00:40:52.820 say
00:40:53.000 well
00:40:53.220 if
00:40:53.320 it
00:40:53.400 got
00:40:53.540 three
00:40:53.820 and
00:40:53.940 four
00:40:54.220 things
00:40:54.540 wrong
00:40:54.960 any
00:40:56.160 reasonable
00:40:56.660 person
00:40:57.060 is
00:40:57.220 going
00:40:57.340 to
00:40:57.440 walk
00:40:57.680 away
00:40:58.020 nope
00:40:59.500 nope
00:41:01.360 opposite
00:41:02.620 if
00:41:03.580 it
00:41:03.680 gets
00:41:03.840 one
00:41:04.100 and
00:41:04.240 a
00:41:04.360 four
00:41:04.580 right
00:41:04.980 you
00:41:06.420 make
00:41:06.660 people
00:41:06.960 addicted
00:41:07.420 it
00:41:08.140 becomes
00:41:08.580 a
00:41:08.900 religion
00:41:09.400 at
00:41:09.920 one
00:41:10.160 and
00:41:10.320 four
00:41:10.600 how
00:41:11.560 often
00:41:11.900 do
00:41:12.080 your
00:41:12.360 prayers
00:41:13.260 get
00:41:13.700 answered
00:41:14.220 one
00:41:16.020 in
00:41:16.180 four
00:41:16.380 if
00:41:17.540 you
00:41:17.680 pray
00:41:17.940 for
00:41:18.200 a
00:41:18.520 promotion
00:41:19.140 one
00:41:20.560 in
00:41:20.740 four
00:41:20.920 times
00:41:21.420 if
00:41:21.680 you
00:41:21.760 wait
00:41:21.920 long
00:41:22.180 enough
00:41:22.460 you
00:41:22.920 might
00:41:23.100 get
00:41:23.300 one
00:41:23.540 was
00:41:24.720 it
00:41:24.860 the
00:41:24.980 prayer
00:41:25.280 well
00:41:26.180 that's
00:41:27.360 for
00:41:27.680 you
00:41:27.820 to
00:41:27.980 decide
00:41:28.420 but
00:41:29.180 what
00:41:29.380 I'm
00:41:29.520 saying
00:41:29.800 is
00:41:30.040 that
00:41:30.300 the
00:41:30.780 nature
00:41:31.320 of
00:41:31.620 religion
00:41:32.180 which
00:41:33.000 gives
00:41:33.280 you
00:41:33.560 unpredictable
00:41:34.420 payoffs
00:41:35.300 for
00:41:36.080 your
00:41:36.340 praying
00:41:36.820 and
00:41:37.040 your
00:41:37.260 religiosity
00:41:38.060 and
00:41:38.740 the
00:41:38.880 rest
00:41:39.060 of
00:41:39.180 the
00:41:39.260 time
00:41:39.460 you
00:41:39.580 say
00:41:39.740 well
00:41:40.060 you
00:41:40.780 know
00:41:40.900 God
00:41:41.220 is
00:41:41.380 not
00:41:41.580 an
00:41:41.720 ATM
00:41:42.060 I
00:41:42.680 don't
00:41:43.020 just
00:41:43.480 put
00:41:43.840 a
00:41:43.980 prayer
00:41:44.240 in
00:41:44.520 and
00:41:44.660 take
00:41:44.840 money
00:41:45.100 out
00:41:45.460 he
00:41:46.160 works
00:41:46.460 in
00:41:46.600 mysterious
00:41:46.980 ways
00:41:47.500 that's
00:41:48.400 part
00:41:48.600 of
00:41:48.680 the
00:41:48.780 process
00:41:49.140 if
00:41:49.540 I
00:41:49.680 get
00:41:49.900 one
00:41:50.700 in
00:41:50.900 four
00:41:51.100 prayers
00:41:51.620 I'm
00:41:52.860 addicted
00:41:53.200 likewise
00:41:55.040 Q
00:41:55.560 if he
00:41:56.440 gets
00:41:56.600 one
00:41:56.860 in
00:41:57.000 four
00:41:57.340 you're
00:41:59.380 addicted
00:41:59.720 the
00:42:02.140 other
00:42:02.340 thing
00:42:02.580 that it
00:42:02.860 has
00:42:03.040 in
00:42:03.200 common
00:42:03.500 with
00:42:03.800 religion
00:42:04.280 and
00:42:04.700 again
00:42:04.940 I'm
00:42:05.280 not
00:42:05.460 gonna
00:42:05.660 if
00:42:06.840 this
00:42:07.120 sounds
00:42:07.400 like
00:42:07.680 I'm
00:42:08.060 mocking
00:42:09.300 religion
00:42:09.840 then you're
00:42:10.360 hearing it
00:42:10.800 wrong
00:42:11.080 I'm
00:42:11.760 just
00:42:11.920 telling
00:42:12.160 you
00:42:12.360 that
00:42:12.580 there
00:42:12.780 are
00:42:13.300 things
00:42:13.780 which
00:42:14.020 bind
00:42:14.420 things
00:42:14.860 to
00:42:15.040 a
00:42:15.200 movement
00:42:15.520 and
00:42:15.900 they're
00:42:16.040 fairly
00:42:16.440 common
00:42:17.200 and universal
00:42:17.900 and it
00:42:18.640 works for
00:42:19.040 religion
00:42:19.420 and it
00:42:20.300 works for
00:42:20.680 Q
00:42:20.860 which is
00:42:21.840 which is not to say that either of them are false
00:42:25.080 it's just the way people think
00:42:26.660 so the vagueness of the predictions is very powerful
00:42:34.900 because when you when you have vague predictions people do the work for you
00:42:41.600 and so you let's say you you had four predictions one of them is clearly right
00:42:47.180 but could have been right by coincidence you know could have been a good guess
00:42:50.560 and let's say two of them are a little bit ambiguous well it's going to look like a belief to a believer it's going to look like three out of four were right
00:43:00.880 because they're going to say this one is definitely right and these other two
00:43:04.740 well you know if I didn't have this one that was right maybe I wouldn't believe that they're those vague things are true but since I got one right
00:43:13.200 I'm going to say these other two were close enough the way they were worded allows for me to say that this thing that happened fits
00:43:20.120 and now suddenly you're three out of four
00:43:22.240 three out of four
00:43:23.960 so vagueness works in favor of belief
00:43:28.700 because it lets you fill in the blanks
00:43:30.800 this is by the way a standard hypnosis trick
00:43:33.980 I use it all the time
00:43:35.480 I use it when I create my comic
00:43:37.540 the reason that Dilbert doesn't have a last name
00:43:40.300 company doesn't have a name
00:43:42.260 Dilbert's boss doesn't have a name
00:43:44.740 not a first name
00:43:45.860 not a last name
00:43:46.580 it's all intentional
00:43:47.980 because it allows the reader to read into it
00:43:50.740 and fill in those
00:43:51.960 those open spots
00:43:54.220 and it makes you more addicted to the property
00:43:56.480 here's the
00:43:58.720 here's the other thing that religion and Q gets right
00:44:02.760 if you spend time working on something
00:44:05.940 you will be more addicted to it
00:44:08.380 it's just natural
00:44:09.600 just the things you focus on become more important to you over time
00:44:13.400 the nature of Q is that they say do your own research
00:44:16.980 so you take the Q as your starting point
00:44:19.460 and then you go off and do a bunch of work
00:44:21.180 you invest your time
00:44:23.440 once you've invested your time in something
00:44:26.380 you're done
00:44:27.800 you've married yourself to the movement
00:44:31.640 because once you put time into it
00:44:33.960 you can't explain it to yourself
00:44:35.560 except that you believe it
00:44:37.240 and that's part of what you do
00:44:38.840 so religion
00:44:40.360 like Q
00:44:41.580 asks the people who are believers
00:44:44.680 to do their own work
00:44:46.280 you know
00:44:47.220 read this Bible
00:44:48.020 can be interpreted in many ways
00:44:50.220 you know
00:44:51.000 go listen to how different
00:44:52.360 religious people are interpreting it
00:44:54.920 find your own connections
00:44:56.680 you know
00:44:57.300 figure it out yourself
00:44:58.280 and I think there's something nerdily delicious
00:45:00.960 about
00:45:01.560 trying to unwind these mysteries
00:45:04.100 be they religious
00:45:05.260 or be they Q
00:45:06.400 so I think
00:45:07.420 the operative things are that
00:45:09.760 you get
00:45:11.640 unpredictable rewards
00:45:13.700 there's vagueness
00:45:15.720 and
00:45:17.420 that last thing
00:45:19.420 alright
00:45:20.400 so
00:45:21.260 so there's a reason the Q is growing
00:45:24.720 it's not an accident
00:45:25.620 alright
00:45:27.920 well let me ask you this
00:45:33.000 remember
00:45:34.660 2016
00:45:36.660 I think you remember it
00:45:38.880 and
00:45:39.480 the
00:45:39.900 the take on Trump
00:45:41.060 was that he was a mentally unstable Russian agent
00:45:43.340 who will destroy the economy
00:45:44.540 and lead us to nuclear war
00:45:45.900 alright
00:45:46.960 so you remember 2016
00:45:48.280 those were the things
00:45:49.560 mentally unstable Russian agent
00:45:52.840 destroy the economy
00:45:54.340 lead us to nuclear war
00:45:55.540 oh and racist
00:45:56.120 of course
00:45:56.720 racist in there
00:45:57.620 so that was 2016
00:45:58.920 what is the big problem
00:46:01.860 with Trump
00:46:02.760 after we've observed him
00:46:04.160 for three and a half years
00:46:05.460 here's the big complaint
00:46:09.140 about him lately
00:46:10.040 we can't tell if he's joking
00:46:12.080 about Mount Rushmore
00:46:13.100 so
00:46:15.260 since we can't tell if he's joking
00:46:17.200 about Mount Rushmore
00:46:18.120 by the way
00:46:18.580 that's the biggest problem
00:46:19.600 at the moment
00:46:20.120 we'd better nominate a cadaver
00:46:22.240 to run against him
00:46:23.200 that's actually happening
00:46:25.540 I mean
00:46:26.220 Joe Biden isn't quite a cadaver
00:46:28.340 but I don't think I'm getting
00:46:29.500 too far ahead of myself
00:46:31.220 isn't that a big change
00:46:35.040 and I ask myself
00:46:36.040 why aren't they using
00:46:37.320 all the things
00:46:38.020 they were using before
00:46:38.840 well
00:46:39.140 the things they were using before
00:46:40.920 in many cases
00:46:41.740 were debunked
00:46:42.980 such as
00:46:43.580 the Russia collusion thing
00:46:44.920 but what about the other stuff
00:46:46.520 the other stuff
00:46:47.740 seems like
00:46:48.200 they would just be evergreens
00:46:49.360 right
00:46:49.620 you could always go with
00:46:50.940 mentally unstable
00:46:51.840 and
00:46:52.380 you know
00:46:53.160 you could always go with
00:46:54.180 you know
00:46:54.500 he's a racist
00:46:55.220 and
00:46:55.700 he lies
00:46:56.740 you know
00:46:56.980 all the basic stuff
00:46:57.740 why are you seeing
00:46:58.500 as much of that
00:46:59.180 well
00:47:00.360 let me suggest
00:47:01.380 here's a reason
00:47:02.060 Joe Biden's campaign
00:47:04.460 is making it really difficult
00:47:06.320 to criticize Trump
00:47:08.440 here's why
00:47:09.840 Biden lies
00:47:12.000 in every ad
00:47:13.160 every one
00:47:14.360 and it's usually
00:47:15.060 like a real blatant
00:47:16.780 obvious lie
00:47:17.840 and
00:47:19.020 they're the kind of lies
00:47:20.740 that even the Democrat
00:47:22.020 fact checkers
00:47:23.400 would say
00:47:23.800 okay
00:47:24.640 I grudgingly agree
00:47:26.400 that's a complete fabrication
00:47:28.600 so
00:47:29.860 how do you run against
00:47:31.460 the guy
00:47:32.020 who
00:47:32.400 your biggest complaint
00:47:33.600 is that he's a liar
00:47:34.640 when every one of your
00:47:36.200 campaign ads
00:47:37.080 and a lot of stuff
00:47:38.120 you say in public
00:47:38.880 are clearly
00:47:40.140 demonstrably
00:47:41.120 obvious
00:47:41.860 easy to google
00:47:43.620 lies
00:47:44.600 it kind of takes that
00:47:45.980 away from you a little bit
00:47:47.040 because you know
00:47:48.220 you know it would come
00:47:48.980 right back
00:47:49.480 how about the idea
00:47:50.840 that President Trump
00:47:51.840 is mentally unstable
00:47:53.600 well
00:47:55.300 if you had
00:47:56.340 any other candidate
00:47:57.640 running against Trump
00:47:59.560 you'd probably
00:48:00.800 trot that one out
00:48:01.840 and say
00:48:02.360 look at my
00:48:03.360 completely reasonable
00:48:04.560 you know
00:48:05.880 completely mentally
00:48:07.420 healthy candidate
00:48:08.500 compare that to Trump
00:48:10.560 look at what he's saying
00:48:12.000 about Mount Rushmore
00:48:13.040 that's crazy
00:48:13.820 right
00:48:14.900 you'd hear that
00:48:16.100 if you had a candidate
00:48:17.100 who was
00:48:18.380 demonstrably
00:48:19.640 and
00:48:19.960 you know
00:48:21.060 inarguably
00:48:22.020 mentally healthy
00:48:23.360 Biden's not
00:48:25.000 he's just not
00:48:26.320 I mean he's mentally
00:48:27.220 unhealthy
00:48:27.800 in a
00:48:28.520 in a
00:48:30.000 old person way
00:48:31.100 not a
00:48:32.800 specifically crazy way
00:48:34.160 but it kind of
00:48:35.360 takes that approach away
00:48:36.440 so
00:48:37.460 they can't accuse
00:48:38.420 the President of lying
00:48:39.300 because Biden is lying
00:48:40.300 in every ad
00:48:41.020 it's hard to say
00:48:42.220 the President's
00:48:43.000 crazy
00:48:44.040 because that just
00:48:44.740 brings up mental health
00:48:45.960 and you don't want
00:48:46.800 to go there
00:48:47.380 how about
00:48:48.740 the argument
00:48:50.300 that Trump
00:48:50.860 doesn't take his
00:48:51.800 job seriously
00:48:52.680 like he doesn't
00:48:53.680 care about it
00:48:54.480 he's just
00:48:55.540 you know
00:48:55.940 golfing
00:48:56.440 well
00:48:57.980 sure
00:48:59.000 he's still golfing
00:48:59.940 a lot
00:49:00.340 and he's still
00:49:01.440 Trump
00:49:01.860 but if you're
00:49:03.220 looking at the
00:49:03.720 other guy
00:49:04.260 who doesn't
00:49:04.820 leave his
00:49:05.260 basement
00:49:05.660 and he sends
00:49:06.300 his wife out
00:49:06.980 to talk for him
00:49:07.680 once in a while
00:49:08.220 does he look like
00:49:09.620 he's taking this
00:49:10.300 job seriously
00:49:11.100 no
00:49:12.380 no
00:49:13.320 Biden doesn't
00:49:14.340 look like he's
00:49:14.920 taking it seriously
00:49:15.720 it looks like he's
00:49:16.860 hiding in his
00:49:17.380 basement and waiting
00:49:18.100 for whatever it is
00:49:19.080 to be over
00:49:19.580 it just feels like
00:49:20.800 he's waiting it out
00:49:21.800 how about the
00:49:24.160 charge that
00:49:24.820 Trump would be
00:49:26.100 a puppet
00:49:26.700 for some other
00:49:27.780 power
00:49:28.180 let's say
00:49:29.240 Russia
00:49:29.580 well
00:49:31.520 that's a little
00:49:32.120 difficult
00:49:32.580 because
00:49:33.740 because Biden
00:49:35.220 is literally
00:49:35.960 a puppet
00:49:36.460 for another
00:49:37.060 power
00:49:37.540 which is
00:49:39.120 you know
00:49:39.620 whoever's
00:49:40.100 controlling him
00:49:40.700 on the
00:49:40.960 Democrat side
00:49:41.800 and
00:49:43.160 he's
00:49:44.400 pro-China
00:49:45.000 so the
00:49:46.900 whole
00:49:47.140 puppet
00:49:47.620 of a
00:49:48.080 foreign
00:49:48.320 power
00:49:48.640 thing
00:49:48.940 doesn't
00:49:49.360 really
00:49:49.580 work
00:49:49.960 when the
00:49:51.240 person
00:49:51.940 you're
00:49:52.260 running
00:49:52.520 against
00:49:53.280 Trump
00:49:54.100 is
00:49:54.780 literally
00:49:55.240 a hollowed
00:49:56.000 down
00:49:56.200 puppet
00:49:56.780 how does
00:49:58.380 that work
00:49:58.900 so that's
00:50:00.560 not a good
00:50:00.940 attack
00:50:01.280 anymore
00:50:01.680 used to
00:50:02.260 be
00:50:02.440 and
00:50:03.340 then I'm
00:50:04.300 going to
00:50:04.720 quote
00:50:05.120 Trey
00:50:05.880 Gowdy
00:50:06.760 I don't
00:50:07.980 know if
00:50:08.200 he made
00:50:08.500 this up
00:50:08.920 but it's
00:50:09.180 just a
00:50:09.500 perfect
00:50:09.840 term
00:50:10.340 he said
00:50:10.780 that
00:50:10.980 Biden
00:50:11.300 keeps
00:50:12.360 committing
00:50:12.820 or saying
00:50:13.920 a bunch
00:50:15.100 of
00:50:15.300 quote
00:50:16.060 racially
00:50:16.800 curious
00:50:17.420 comments
00:50:18.020 racially
00:50:19.240 curious
00:50:19.720 now
00:50:21.920 isn't
00:50:22.720 that just
00:50:23.120 the dog
00:50:23.580 whistle
00:50:23.840 what's
00:50:25.060 the difference
00:50:25.520 between
00:50:26.060 you know
00:50:27.140 it's a
00:50:27.580 racist
00:50:27.880 dog
00:50:28.300 whistle
00:50:28.620 versus
00:50:29.600 racially
00:50:30.920 incurious
00:50:31.660 or racially
00:50:33.380 curious
00:50:33.920 statements
00:50:34.460 they kind
00:50:35.420 of sound
00:50:35.740 the same
00:50:36.180 don't
00:50:36.460 they
00:50:36.640 so
00:50:37.520 Biden
00:50:37.940 by his
00:50:38.560 own
00:50:38.880 inability
00:50:39.860 and
00:50:40.420 terrible
00:50:40.860 campaign
00:50:41.720 has
00:50:42.520 removed
00:50:43.060 from
00:50:43.580 the
00:50:43.780 attack
00:50:44.120 list
00:50:44.540 lying
00:50:45.860 because
00:50:46.280 he
00:50:46.480 lies
00:50:46.920 acting
00:50:47.820 mentally
00:50:48.340 unwell
00:50:49.020 because
00:50:49.400 he
00:50:49.620 acts
00:50:49.880 that
00:50:50.060 way
00:50:50.320 not
00:50:51.080 taking
00:50:51.440 his
00:50:51.640 job
00:50:51.940 seriously
00:50:52.520 he
00:50:52.880 doesn't
00:50:53.240 leave
00:50:53.440 the
00:50:53.580 basement
00:50:53.960 much
00:50:54.520 a
00:50:55.240 puppet
00:50:55.580 for
00:50:55.840 other
00:50:56.060 powers
00:50:56.620 he's
00:50:58.580 even
00:50:58.800 running
00:50:59.200 as a
00:50:59.560 puppet
00:50:59.840 I mean
00:51:00.540 the man
00:51:00.880 is saying
00:51:01.240 I'm
00:51:01.400 not
00:51:01.540 even
00:51:01.700 going
00:51:01.840 to
00:51:01.900 make
00:51:02.100 it
00:51:02.220 four
00:51:02.480 years
00:51:02.800 barely
00:51:03.180 don't
00:51:04.020 count
00:51:04.280 on me
00:51:04.500 for
00:51:04.660 that
00:51:04.900 second
00:51:05.340 term
00:51:05.700 I'd
00:51:06.940 better
00:51:07.100 bring
00:51:07.340 in
00:51:07.500 a
00:51:07.620 whole
00:51:07.800 cabinet
00:51:08.260 to
00:51:08.760 support
00:51:09.300 me
00:51:09.600 look at
00:51:10.700 my
00:51:10.860 vice
00:51:11.140 president
00:51:11.560 he's
00:51:12.980 running
00:51:13.300 as a
00:51:13.680 puppet
00:51:13.940 and then
00:51:15.360 of course
00:51:15.860 he says
00:51:16.220 racially
00:51:16.620 curiously
00:51:17.280 which
00:51:17.560 partly
00:51:18.560 takes that
00:51:19.060 off the
00:51:19.360 table
00:51:19.580 as well
00:51:19.940 so
00:51:21.220 so
00:51:21.240 I
00:51:21.760 think
00:51:22.060 the
00:51:22.420 candidate
00:51:23.480 himself
00:51:24.140 is
00:51:24.400 just
00:51:24.640 absolutely
00:51:25.600 torpedoing
00:51:26.660 the
00:51:26.880 campaign
00:51:27.420 and the
00:51:28.440 campaign
00:51:28.760 is
00:51:28.980 torpedoing
00:51:29.660 itself
00:51:30.000 I guess
00:51:30.380 here's a
00:51:32.500 question
00:51:32.740 for you
00:51:33.680 Russia
00:51:37.000 apparently
00:51:37.640 is claiming
00:51:38.280 that it
00:51:38.640 has the
00:51:39.040 first
00:51:39.360 vaccine
00:51:40.080 but of
00:51:41.000 course
00:51:41.240 it has
00:51:41.520 not
00:51:41.720 gone
00:51:41.940 through
00:51:42.160 the
00:51:42.460 longer
00:51:43.400 more
00:51:43.740 rigorous
00:51:44.180 trials
00:51:44.800 that you
00:51:45.140 would do
00:51:45.480 if you
00:51:45.800 really
00:51:46.100 wanted
00:51:46.620 to be
00:51:46.980 careful
00:51:47.460 and
00:51:48.320 apparently
00:51:48.640 it's
00:51:49.200 already
00:51:49.440 been
00:51:49.660 given
00:51:49.900 to
00:51:50.140 Putin's
00:51:50.700 daughter
00:51:51.660 or
00:51:51.940 daughters
00:51:52.380 and
00:51:53.560 this
00:51:56.100 is
00:51:56.280 really
00:51:56.500 going
00:51:56.680 to
00:51:56.800 challenge
00:51:57.360 what
00:51:58.180 it
00:51:58.320 means
00:51:58.560 to
00:51:58.760 be
00:51:58.920 anti
00:51:59.280 science
00:51:59.820 isn't
00:52:00.120 it
00:52:00.360 because
00:52:01.480 this
00:52:02.520 is
00:52:02.680 going
00:52:02.820 to
00:52:02.920 bleed
00:52:03.160 over
00:52:03.440 into
00:52:03.700 the
00:52:03.860 whole
00:52:04.040 vax
00:52:04.460 or
00:52:04.620 anti
00:52:04.940 vax
00:52:05.420 thing
00:52:06.240 now
00:52:06.980 if
00:52:07.220 you
00:52:07.360 think
00:52:07.600 you're
00:52:07.800 hearing
00:52:08.020 my
00:52:08.260 opinion
00:52:08.640 on
00:52:09.000 vaccinations
00:52:09.560 it's
00:52:09.940 not
00:52:10.140 going
00:52:10.280 to
00:52:10.340 be
00:52:10.480 here
00:52:10.720 so
00:52:11.760 I'm
00:52:11.940 not
00:52:12.100 going
00:52:12.240 to
00:52:12.420 I
00:52:13.140 don't
00:52:13.300 want
00:52:13.460 to
00:52:13.540 hint
00:52:14.120 my
00:52:15.460 opinion
00:52:15.820 on
00:52:17.460 today
00:52:18.160 someday
00:52:18.560 I
00:52:18.800 might
00:52:19.060 I'm
00:52:19.860 not
00:52:20.000 sure
00:52:20.160 I
00:52:20.260 have
00:52:20.420 a
00:52:20.580 fully
00:52:20.900 formed
00:52:21.240 opinion
00:52:21.560 there
00:52:21.840 but
00:52:22.640 this
00:52:23.260 is
00:52:23.400 not
00:52:23.620 it
00:52:23.860 okay
00:52:24.260 so
00:52:24.460 I'm
00:52:24.580 just
00:52:24.720 going
00:52:24.860 to
00:52:24.900 talk
00:52:25.080 about
00:52:25.240 the
00:52:25.380 story
00:52:25.660 don't
00:52:26.120 make
00:52:26.800 some
00:52:27.100 assumptions
00:52:27.540 about
00:52:27.840 my
00:52:28.060 opinion
00:52:28.360 the
00:52:31.020 big
00:52:31.540 knock
00:52:31.960 against
00:52:32.520 vaccinations
00:52:33.360 has
00:52:33.900 been
00:52:34.080 that
00:52:34.260 they're
00:52:34.380 not
00:52:34.580 fully
00:52:34.980 tested
00:52:35.460 right
00:52:36.960 the
00:52:37.840 vaccinations
00:52:38.780 are not
00:52:39.460 tested
00:52:39.900 when
00:52:40.640 they're
00:52:40.880 put
00:52:41.200 in
00:52:41.460 combination
00:52:41.860 with
00:52:42.340 other
00:52:42.560 vaccinations
00:52:43.180 they've
00:52:44.080 been
00:52:44.220 tested
00:52:44.520 individually
00:52:45.160 but
00:52:46.880 not
00:52:47.100 in
00:52:47.280 combo
00:52:47.600 so
00:52:47.860 that's
00:52:48.020 one
00:52:48.140 of
00:52:48.220 the
00:52:48.300 big
00:52:48.520 problems
00:52:49.280 now
00:52:50.040 Russia
00:52:50.460 comes out
00:52:52.020 with
00:52:52.180 this
00:52:52.360 vaccine
00:52:52.860 that
00:52:54.040 all
00:52:54.320 the
00:52:54.480 people
00:52:54.740 who
00:52:54.920 are
00:52:55.020 in
00:52:55.140 favor
00:52:55.380 of
00:52:55.540 vaccines
00:52:55.980 are
00:52:56.160 going
00:52:56.260 to
00:52:56.320 say
00:52:56.480 oh
00:52:56.720 no
00:52:57.220 you
00:52:58.080 don't
00:52:58.260 want
00:52:58.480 that
00:52:58.680 one
00:52:58.920 because
00:52:59.840 it
00:52:59.960 hasn't
00:53:00.240 been
00:53:00.420 tested
00:53:00.900 sufficiently
00:53:01.600 and
00:53:03.420 by the
00:53:03.700 way
00:53:03.840 line up
00:53:04.440 for
00:53:04.680 your
00:53:04.880 vaccinations
00:53:05.480 that
00:53:05.780 haven't
00:53:06.040 been
00:53:06.240 tested
00:53:06.600 sufficiently
00:53:07.220 so
00:53:08.140 it's
00:53:08.320 going
00:53:08.420 to
00:53:08.540 cause
00:53:08.920 the
00:53:09.240 pro
00:53:09.820 science
00:53:10.460 shall
00:53:11.500 we
00:53:11.660 say
00:53:11.920 you'll
00:53:12.920 argue
00:53:13.180 whether
00:53:13.520 they're
00:53:13.760 pro
00:53:13.980 science
00:53:14.340 the
00:53:15.060 pro
00:53:15.320 science
00:53:15.780 pro
00:53:16.480 vaccination
00:53:16.960 crowd
00:53:17.600 are
00:53:20.700 going to
00:53:20.940 have to
00:53:21.380 explain
00:53:22.000 why you
00:53:22.400 can't
00:53:22.620 have the
00:53:22.900 Russian
00:53:23.140 vaccination
00:53:23.780 because
00:53:24.800 it's
00:53:25.000 just
00:53:25.220 another
00:53:25.520 vaccination
00:53:26.120 that
00:53:26.360 hasn't
00:53:26.560 been
00:53:26.720 fully
00:53:27.000 tested
00:53:27.380 that
00:53:28.280 looks
00:53:28.540 good
00:53:28.840 hasn't
00:53:29.820 been
00:53:29.980 fully
00:53:30.220 tested
00:53:30.620 so
00:53:32.040 I
00:53:35.000 don't
00:53:35.180 have an
00:53:35.460 opinion
00:53:35.700 on this
00:53:36.180 I'm
00:53:36.380 just
00:53:36.540 saying
00:53:36.780 that
00:53:36.980 this
00:53:37.180 completely
00:53:37.820 messes
00:53:38.320 up
00:53:38.500 the
00:53:38.640 whole
00:53:38.920 what
00:53:39.940 does
00:53:40.100 it
00:53:40.240 mean
00:53:40.420 to
00:53:40.580 be
00:53:40.760 anti
00:53:41.100 science
00:53:41.640 because
00:53:42.140 now
00:53:42.340 everybody
00:53:42.760 can
00:53:43.000 be
00:53:43.120 anti
00:53:43.360 science
00:53:43.800 you
00:53:44.460 don't
00:53:45.100 have
00:53:45.300 to
00:53:45.420 be
00:53:45.700 on
00:53:45.980 the
00:53:46.160 pro
00:53:46.440 science
00:53:46.780 team
00:53:47.160 because
00:53:47.760 apparently
00:53:48.060 there
00:53:48.320 is
00:53:48.460 none
00:53:48.700 there's
00:53:49.780 no
00:53:49.940 pro
00:53:50.180 science
00:53:50.440 team
00:53:50.760 the
00:53:51.520 vaccination
00:53:52.000 question
00:53:52.720 doesn't
00:53:53.880 have
00:53:54.220 a
00:53:54.400 pro
00:53:54.640 science
00:53:55.080 team
00:53:55.580 it
00:53:57.240 only
00:53:57.460 has
00:53:57.740 a
00:53:57.940 well
00:53:58.800 we
00:53:59.260 feel
00:53:59.500 pretty
00:53:59.760 good
00:53:59.940 about
00:54:00.220 it
00:54:00.660 cost
00:54:02.020 benefit
00:54:02.460 we're
00:54:03.700 fairly
00:54:04.340 sure
00:54:04.740 we
00:54:05.860 like
00:54:06.100 the
00:54:06.260 odds
00:54:06.660 but
00:54:07.820 I'm
00:54:08.040 not
00:54:08.200 sure
00:54:08.340 there's
00:54:08.580 a
00:54:08.700 pro
00:54:08.880 science
00:54:09.200 team
00:54:09.460 anymore
00:54:09.800 here's
00:54:12.320 a
00:54:12.440 question
00:54:12.820 that
00:54:13.220 Mike
00:54:14.160 Cernovich
00:54:14.620 first
00:54:15.060 you know
00:54:17.300 he
00:54:17.940 he inspired
00:54:19.200 me to
00:54:19.660 ask this
00:54:20.060 question
00:54:20.400 by one
00:54:20.820 of his
00:54:21.100 tweets
00:54:21.420 yesterday
00:54:21.980 would
00:54:23.260 the
00:54:23.420 protests
00:54:23.980 have
00:54:24.220 started
00:54:24.600 without
00:54:25.220 all
00:54:25.540 the
00:54:25.700 fake
00:54:25.940 news
00:54:26.600 if
00:54:27.280 you
00:54:27.420 imagine
00:54:27.780 a
00:54:27.980 world
00:54:28.260 and
00:54:28.440 it's
00:54:28.580 hard
00:54:28.820 imagine
00:54:29.540 a
00:54:29.720 world
00:54:29.940 where
00:54:30.140 the
00:54:30.280 news
00:54:30.620 was
00:54:30.840 just
00:54:31.080 accurate
00:54:31.680 and
00:54:32.640 that's
00:54:32.840 it
00:54:33.040 no
00:54:33.740 agenda
00:54:34.180 no
00:54:35.360 team
00:54:36.200 just
00:54:36.760 accurate
00:54:37.380 news
00:54:37.780 would
00:54:38.560 we
00:54:38.760 be
00:54:38.980 having
00:54:39.360 these
00:54:39.920 protests
00:54:40.520 and
00:54:42.140 the
00:54:42.320 scary
00:54:42.700 answer
00:54:43.060 is
00:54:43.280 no
00:54:43.760 these
00:54:44.980 protests
00:54:45.560 are
00:54:45.860 100%
00:54:47.000 created
00:54:47.480 by
00:54:47.720 fake
00:54:48.020 news
00:54:48.400 and
00:54:49.100 what
00:54:49.240 I
00:54:49.360 mean
00:54:49.520 by
00:54:49.680 that
00:54:49.940 is
00:54:50.140 that
00:54:50.460 even
00:54:52.160 the
00:54:52.420 initial
00:54:52.860 George
00:54:53.620 Floyd
00:54:53.960 stuff
00:54:54.420 the
00:54:54.780 Michael
00:54:55.780 Brown
00:54:56.160 stuff
00:54:56.640 it's
00:54:57.300 all
00:54:57.460 fake
00:54:57.700 news
00:54:58.120 in the
00:54:59.260 sense
00:54:59.600 that
00:55:00.060 while
00:55:00.280 a
00:55:00.440 tragedy
00:55:00.860 did
00:55:01.200 happen
00:55:01.520 that
00:55:01.740 part
00:55:01.940 is
00:55:02.040 real
00:55:02.260 the
00:55:03.320 interpretation
00:55:04.000 of what
00:55:04.680 happened
00:55:05.060 has all
00:55:05.800 been
00:55:05.960 fake
00:55:06.360 we know
00:55:07.340 that
00:55:07.560 the
00:55:07.800 Michael
00:55:08.300 Brown
00:55:08.600 situation
00:55:09.140 which
00:55:09.480 sparked
00:55:09.920 riots
00:55:10.380 and the
00:55:10.680 creation
00:55:11.020 of
00:55:11.280 was it
00:55:12.180 the creation
00:55:12.580 of Black
00:55:12.980 Lives Matter
00:55:13.480 did it
00:55:13.860 happen
00:55:14.160 after that
00:55:14.640 but now
00:55:15.420 we know
00:55:15.880 that
00:55:16.440 two sets
00:55:17.940 of
00:55:18.140 officials
00:55:18.620 the
00:55:19.540 state
00:55:20.040 and now
00:55:20.440 the federal
00:55:20.880 looked at
00:55:21.360 and said
00:55:21.660 it looks
00:55:23.360 like a
00:55:23.680 justified
00:55:24.060 shooting
00:55:24.520 the whole
00:55:25.900 thing was
00:55:26.260 fake news
00:55:26.780 and then
00:55:27.720 the George
00:55:28.160 Floyd
00:55:28.420 thing
00:55:28.720 comes
00:55:29.080 this guy
00:55:29.860 is full
00:55:30.780 of fentanyl
00:55:31.620 he's going
00:55:31.960 to die
00:55:32.260 no matter
00:55:32.680 what
00:55:33.080 I'm not
00:55:34.160 saying the
00:55:34.600 police did
00:55:35.060 the right
00:55:35.400 thing
00:55:35.740 because it
00:55:36.960 looks to me
00:55:37.460 like the
00:55:37.780 police have
00:55:38.240 some explaining
00:55:38.880 to do
00:55:39.300 about the
00:55:40.500 way they
00:55:40.820 handle
00:55:41.120 things
00:55:41.440 but clearly
00:55:42.560 we're not
00:55:43.020 out to
00:55:43.400 murder him
00:55:43.840 there's
00:55:44.140 nothing
00:55:44.420 that would
00:55:44.740 suggest
00:55:45.120 there was
00:55:45.400 a racial
00:55:45.860 component
00:55:46.840 to it
00:55:47.360 and if
00:55:49.500 the news
00:55:50.020 told the
00:55:50.480 news
00:55:50.820 accurately
00:55:51.520 as soon
00:55:52.600 as the
00:55:52.920 issue
00:55:53.240 of systemic
00:55:54.040 racism
00:55:54.620 became a
00:55:55.260 national
00:55:55.760 phrase
00:55:57.520 they should
00:55:58.420 have said
00:55:58.740 well where
00:55:59.120 do we
00:55:59.360 find it
00:55:59.920 and how
00:56:00.620 do we
00:56:00.860 dismantle
00:56:01.480 it
00:56:01.720 and that
00:56:02.400 should have
00:56:02.740 led them
00:56:03.180 straight to
00:56:04.020 wait for
00:56:04.640 it
00:56:04.840 the teachers
00:56:05.760 unions
00:56:06.160 the teachers
00:56:07.260 unions
00:56:07.660 I have
00:56:08.140 estimated
00:56:08.560 are
00:56:09.140 80%
00:56:10.480 of systemic
00:56:11.380 racism
00:56:12.020 because if
00:56:13.100 the teachers
00:56:13.560 unions did
00:56:14.280 not prevent
00:56:15.000 competition
00:56:15.780 in school
00:56:16.580 competition
00:56:18.320 and free
00:56:18.940 market work
00:56:19.780 always improves
00:56:20.840 things
00:56:21.180 we've never
00:56:22.240 seen the
00:56:22.720 opposite
00:56:23.040 you always
00:56:23.640 get a better
00:56:24.080 product
00:56:24.660 with free
00:56:25.520 markets
00:56:25.960 but the
00:56:26.800 teachers
00:56:27.080 unions
00:56:27.460 prevent
00:56:27.860 that
00:56:28.240 if they
00:56:29.060 didn't
00:56:29.460 we'd have
00:56:29.960 more free
00:56:30.420 markets
00:56:30.780 we've had
00:56:31.220 better
00:56:31.460 schools
00:56:31.960 and then
00:56:32.920 while you
00:56:33.400 can't get
00:56:33.820 rid of
00:56:34.400 racism
00:56:34.820 if
00:56:35.900 your
00:56:36.540 black
00:56:37.160 candidate
00:56:37.600 comes in
00:56:38.140 for a
00:56:38.440 job
00:56:38.700 and you
00:56:39.100 look at
00:56:39.380 the
00:56:39.480 racism
00:56:39.860 and it's
00:56:40.740 a good
00:56:41.100 college
00:56:41.820 solid
00:56:42.180 college
00:56:42.680 performance
00:56:43.220 and you
00:56:44.240 you'd like
00:56:44.820 to get
00:56:45.100 some diversity
00:56:45.740 in your
00:56:46.340 business
00:56:46.800 anyway
00:56:47.140 you'd say
00:56:47.640 oh hell
00:56:48.320 yes
00:56:48.700 hell yes
00:56:50.000 look at
00:56:50.400 this
00:56:50.660 this is
00:56:51.380 a good
00:56:51.820 good
00:56:52.880 educated
00:56:53.620 person
00:56:54.140 that's
00:56:55.020 what we're
00:56:55.280 asking for
00:56:55.780 so
00:56:56.940 racism
00:56:59.000 will always
00:56:59.660 exist
00:57:00.200 because our
00:57:00.580 brains are
00:57:01.060 just wired
00:57:01.700 for pattern
00:57:02.600 recognition
00:57:03.140 but we're
00:57:03.620 not good
00:57:04.080 at it
00:57:04.500 so we see
00:57:05.340 patterns
00:57:05.720 that are
00:57:05.960 not really
00:57:06.300 patterns
00:57:06.740 and then
00:57:07.040 we act
00:57:07.380 on them
00:57:07.760 so you're
00:57:08.700 always going
00:57:09.020 to have
00:57:09.180 that
00:57:09.600 but you
00:57:10.800 can make
00:57:11.300 it a
00:57:11.900 lot less
00:57:12.700 important
00:57:13.300 in other
00:57:14.240 words
00:57:14.540 as I like
00:57:15.120 to say
00:57:15.560 Michael
00:57:17.440 Jordan
00:57:17.840 doesn't
00:57:18.860 worry
00:57:19.240 about
00:57:19.480 racism
00:57:20.020 much
00:57:21.160 during
00:57:21.540 his
00:57:21.780 day
00:57:22.040 he might
00:57:22.840 worry
00:57:23.120 about
00:57:23.360 it
00:57:23.500 for
00:57:23.680 other
00:57:24.000 people's
00:57:24.480 benefit
00:57:24.940 and I
00:57:26.220 guess he
00:57:26.660 does
00:57:26.960 but I
00:57:27.960 doubt he
00:57:28.520 thinks about
00:57:29.160 it in
00:57:29.500 his personal
00:57:30.360 experience
00:57:31.060 today
00:57:31.640 maybe in
00:57:32.560 his past
00:57:33.060 but not
00:57:33.460 today
00:57:33.780 and the
00:57:34.460 point is
00:57:34.900 you can't
00:57:35.300 all be
00:57:35.520 Michael
00:57:35.820 Jordan
00:57:36.160 but if
00:57:36.960 you're
00:57:37.180 financially
00:57:37.700 successful
00:57:38.200 and you're
00:57:39.780 doing well
00:57:40.280 racism
00:57:41.500 isn't
00:57:41.880 going to
00:57:42.100 hurt
00:57:42.260 as
00:57:42.420 much
00:57:42.720 so you
00:57:43.900 could
00:57:44.060 take away
00:57:45.000 80%
00:57:45.560 of the
00:57:45.880 pain
00:57:46.380 of
00:57:47.340 systemic
00:57:48.340 racism
00:57:49.520 by getting
00:57:50.020 rid of
00:57:50.320 the teachers
00:57:50.700 unions
00:57:51.100 and I'm
00:57:52.220 going to
00:57:52.420 drive their
00:57:52.880 popularity
00:57:53.400 into the
00:57:54.040 teens
00:57:54.380 if it's
00:57:54.780 the last
00:57:55.180 thing I
00:57:55.540 do
00:57:55.740 so yeah
00:57:57.980 it is
00:57:58.500 literally
00:57:58.900 true
00:57:59.280 in my
00:57:59.700 opinion
00:58:00.020 that the
00:58:00.980 fake news
00:58:01.700 is causing
00:58:02.400 all of
00:58:02.800 these
00:58:02.960 protests
00:58:03.420 and now
00:58:04.240 the fake
00:58:04.640 news
00:58:04.940 is trying
00:58:05.320 to stop
00:58:05.920 it
00:58:06.160 because they
00:58:07.180 realize
00:58:07.640 that they've
00:58:08.680 created
00:58:09.060 a monster
00:58:10.060 that will
00:58:10.540 get
00:58:10.840 Trump
00:58:11.360 reelected
00:58:12.120 and it
00:58:12.900 will
00:58:13.120 let's be
00:58:13.900 honest
00:58:14.240 the protests
00:58:15.480 will get
00:58:15.980 Trump
00:58:16.240 reelected
00:58:16.920 if that
00:58:17.740 doesn't
00:58:18.080 happen
00:58:18.360 I'm going
00:58:18.740 to have
00:58:18.900 real questions
00:58:19.560 about the
00:58:20.040 accuracy
00:58:20.520 of those
00:58:20.980 polls
00:58:21.340 or the
00:58:22.100 accuracy
00:58:22.440 of the
00:58:22.800 vote
00:58:23.060 if it's
00:58:24.200 at this
00:58:25.000 point
00:58:25.320 it's
00:58:25.940 kind of
00:58:26.680 a layup
00:58:27.280 for the
00:58:28.180 president
00:58:28.540 I don't
00:58:29.620 even know
00:58:30.020 if the
00:58:30.320 challenge
00:58:30.700 is still
00:58:31.120 in it
00:58:31.540 because
00:58:33.020 the public
00:58:34.020 is really
00:58:35.220 done
00:58:35.700 the public
00:58:37.260 is done
00:58:37.980 with
00:58:38.460 lawlessness
00:58:39.020 and there's
00:58:39.920 only one
00:58:40.340 candidate
00:58:40.780 promising
00:58:41.420 an end
00:58:41.860 to it
00:58:42.220 with a
00:58:43.000 specific
00:58:43.500 solution
00:58:44.120 I've got
00:58:45.220 the
00:58:45.420 National
00:58:45.780 Guard
00:58:46.220 they're
00:58:47.120 waiting
00:58:47.480 now
00:58:48.480 what's
00:58:49.280 the other
00:58:49.560 thing
00:58:49.860 that
00:58:50.200 everybody
00:58:51.020 said
00:58:51.400 about
00:58:51.620 this
00:58:51.860 president
00:58:52.280 a month
00:58:52.660 ago
00:58:52.880 but they
00:58:53.260 stopped
00:58:53.620 saying
00:58:53.960 he's a
00:58:55.160 dictator
00:58:55.540 right
00:58:56.680 would your
00:58:58.280 dictator
00:58:58.760 have already
00:58:59.460 sent troops
00:59:00.400 into
00:59:00.780 Chicago
00:59:01.300 yeah
00:59:02.180 of course
00:59:02.820 he would
00:59:03.100 would your
00:59:04.140 dictator
00:59:04.600 have already
00:59:05.240 sent troops
00:59:05.940 into
00:59:06.240 Portland
00:59:06.660 to calm
00:59:07.600 that situation
00:59:08.260 down
00:59:08.580 yeah
00:59:09.760 probably
00:59:10.780 on day
00:59:11.240 two
00:59:11.640 it
00:59:13.200 wouldn't
00:59:13.420 be
00:59:13.580 day
00:59:13.860 55
00:59:14.980 any
00:59:16.840 dictator
00:59:17.300 would have
00:59:17.680 taken care
00:59:18.200 of that
00:59:18.440 stuff
00:59:18.720 right away
00:59:19.220 but he's
00:59:20.680 not
00:59:21.100 and it's
00:59:22.120 so obvious
00:59:23.020 that he's
00:59:23.900 not
00:59:24.420 because of
00:59:26.360 this very
00:59:26.780 thing
00:59:27.160 that he
00:59:27.820 just won't
00:59:28.240 send the
00:59:28.620 troops
00:59:28.940 until they're
00:59:29.520 requested
00:59:29.940 I think
00:59:31.800 that argument
00:59:32.320 is gone
00:59:32.760 too
00:59:33.060 so there's
00:59:34.700 not much
00:59:35.100 left
00:59:35.640 all right
00:59:39.980 so let's
00:59:41.900 see if I
00:59:42.240 covered
00:59:42.500 everything
00:59:42.900 and well
00:59:44.580 it looks
00:59:45.200 like I
00:59:45.580 did
00:59:45.840 it looks
00:59:47.100 like I
00:59:47.500 did
00:59:47.760 enjoy your
00:59:49.840 last months
00:59:50.500 of relevancy
00:59:51.420 cartoon boy
00:59:52.420 says this
00:59:54.800 guy in
00:59:55.580 all caps
00:59:56.660 I hate
00:59:58.600 to block
00:59:59.040 the all
00:59:59.540 caps
00:59:59.960 shouting
01:00:01.480 trolls
01:00:02.000 but they
01:00:03.960 will be
01:00:04.300 missed
01:00:04.720 yeah I think
01:00:11.200 everybody's saying
01:00:11.960 what I'm saying
01:00:12.760 now I don't
01:00:13.440 believe there's
01:00:14.140 anybody who
01:00:14.780 thinks that the
01:00:15.480 looting is going
01:00:16.200 to do anything
01:00:16.840 except get
01:00:17.680 Trump elected
01:00:18.320 it's pretty
01:00:20.080 it's pretty
01:00:21.880 direct line
01:00:22.720 at this point
01:00:23.320 happy birthday
01:00:27.540 to Sue
01:00:30.840 happy birthday
01:00:32.680 all right
01:00:33.760 that's all I got
01:00:35.260 for now
01:00:35.640 and I will
01:00:36.640 talk to you
01:00:38.860 later