Real Coffee with Scott Adams - September 06, 2021


Episode 1491 Scott Adams： Biden Regret Syndrome (BRS) is Sweeping the Country. Find Out How Bad it is


Episode Stats

Length

33 minutes

Words per Minute

141.33292

Word Count

4,804

Sentence Count

319

Misogynist Sentences

6

Hate Speech Sentences

10


Summary


Transcript

00:00:00.000 Good morning, everybody, and it's time, once again, for the best thing that's ever happened
00:00:08.400 in the history of the universe.
00:00:09.900 It's called coffee with Scott Adams.
00:00:12.360 And it features a very special thing called the simultaneous sip.
00:00:15.680 Some people love it.
00:00:16.560 Some people hate it.
00:00:17.660 But eventually, you'll all love it.
00:00:20.780 You just haven't tried it yet.
00:00:22.100 So, all you need to enjoy this simultaneous sip is a cup or a mug or a glass, a tank or a chalice or stye in a canteen jug or a flask,
00:00:32.880 a vessel of any kind, fill it with your favorite liquid, and I like coffee.
00:00:38.680 Join me now for the unparalleled pleasure, the dopamine hit of the day, the thing that makes everything better.
00:00:45.360 It's called the simultaneous sip, and it's going to happen now.
00:00:48.940 Go.
00:00:52.100 Well, my goal is to make sure that you learn something each and every time you join me here on Coffee with Scott Adams.
00:01:03.600 And we'll see if that happens again today.
00:01:06.520 Speaking of anecdotal persuasion, why is it that the news tells us we should use data and science to make decisions?
00:01:16.040 Are you with me so far?
00:01:17.420 When you say this, CNN, MSNBC, it's one of their main themes is to use science and data, right?
00:01:27.740 What is their other major theme besides you should use science and data?
00:01:34.140 Their other major theme is look at this anecdotal story and draw a conclusion.
00:01:39.300 That's the opposite, isn't it?
00:01:44.380 So make up your mind, mainstream media.
00:01:47.300 Either we should use data and science and logic, which sounds good to me,
00:01:52.860 or you can feed us continuous stories about that one time that one person had that experience,
00:02:00.640 and we'll make our decisions based on that, because you know we will.
00:02:03.720 Well, do you know why you know that the anecdotes will influence us more than the data?
00:02:09.580 How do you know that?
00:02:11.640 Hmm.
00:02:13.180 Science.
00:02:14.400 Yeah.
00:02:15.120 Science can pretty much guarantee that the anecdotes are going to be more persuasive than the data.
00:02:22.520 And yet, while claiming that data is important,
00:02:25.700 they work as hard as they can to make you ignore it with their anecdotes.
00:02:29.240 Here's another one.
00:02:31.980 This one, I forget which news source I got this from, but it doesn't matter.
00:02:38.240 It says that Mississippi's latest COVID surge sees four unvaccinated pregnant women die of a virus in a week
00:02:45.840 in America's least inoculated state.
00:02:51.420 Four unvaccinated pregnant women.
00:02:53.660 They're really taking the anecdotal persuasion up to a 10,
00:02:58.960 because it's bad enough that somebody dies,
00:03:01.320 but when you throw in the unvaccinated and then pregnant and then woman,
00:03:06.540 they're really going deep now for the serious anecdotal persuasion.
00:03:11.440 Well, Rasmussen had a poll
00:03:12.660 and asked people what they thought about rescuing Americans left in Afghanistan,
00:03:18.800 should we need to do that?
00:03:19.920 And 69% of likely voters say the U.S. should use military force
00:03:26.240 to rescue Americans left in Afghanistan.
00:03:28.920 So that's a super majority.
00:03:32.400 How would you like to be the Taliban
00:03:34.200 and know that even though the war just ended,
00:03:37.580 a super majority of American citizens
00:03:39.840 are willing to turn Afghanistan into glass
00:03:44.760 to get our 100 Americans back?
00:03:47.420 It should give you pause.
00:03:51.000 Because if you were to ask also,
00:03:52.880 how much would you be willing to spend
00:03:54.760 to make a military action to get our hostages back?
00:03:59.720 I would say, I'd say the wallet is open, right?
00:04:04.580 So Afghanistan, if you're worried that we're not willing to spend
00:04:08.080 to send some military back there to get them out,
00:04:12.340 you should think about that twice,
00:04:14.340 because we are willing to spend whatever it takes to get them back.
00:04:18.120 If it makes a difference.
00:04:19.240 I don't know if a military operation could possibly work.
00:04:25.140 Only 52% of liberals think we should use military force
00:04:30.820 to rescue Americans if it comes to that.
00:04:33.660 Now, I ask you this.
00:04:35.280 Is this another example of liberals not understanding
00:04:40.080 how human motivation influences systems?
00:04:43.980 Because that seems to be the biggest problem on the left.
00:04:49.000 Consistent.
00:04:49.820 And it influences all their topics.
00:04:52.560 It imagines that you could build a system
00:04:54.720 where people just have good faith
00:04:57.620 and they just operate according to what's good for the whole
00:05:00.500 instead of what's good for themselves.
00:05:02.480 But, of course, nobody operates that way.
00:05:05.120 People operate for themselves.
00:05:07.160 So, once again, liberals don't understand
00:05:10.200 that if you're not at least willing
00:05:11.900 to send a very big-ass military operation back into Afghanistan,
00:05:16.740 if you're not at least willing to do it,
00:05:19.820 you're not going to get any hostages back
00:05:22.140 unless you pay for them or something else.
00:05:24.660 So, once again, liberals don't understand human motivation.
00:05:30.540 Or at least they don't incorporate it
00:05:32.140 in the same way that Republicans do.
00:05:34.400 Or the right does.
00:05:36.480 There's an Emerson poll
00:05:37.800 that says that if Biden and Trump ran right now,
00:05:43.140 Trump would win.
00:05:45.280 If Biden and Trump had a rematch today,
00:05:49.000 Trump would win.
00:05:50.080 Just barely.
00:05:52.260 47% to 46%.
00:05:53.660 And among Democrats,
00:05:56.680 60% of voters said
00:05:58.440 they would like to see Biden
00:05:59.720 as the presidential nominee.
00:06:03.220 What?
00:06:04.940 60% of Democrats
00:06:07.180 are pretty happy with what they got.
00:06:10.960 Really?
00:06:12.180 You can't find one Democrat
00:06:13.800 who might have similar capabilities
00:06:16.420 but had all of his mental faculties
00:06:19.300 and he wasn't 100 years old.
00:06:21.600 Nobody?
00:06:21.920 Nobody in the whole Democrat Party
00:06:24.580 could do better than Joe Biden?
00:06:27.300 So 60% of people say,
00:06:28.820 yeah, let's go with that again.
00:06:31.920 Okay.
00:06:32.600 Now, to be fair,
00:06:33.740 if the situation were reversed,
00:06:35.940 if Trump were in office,
00:06:37.840 probably the poll would look opposite.
00:06:40.340 Because whoever's in office
00:06:41.360 is going to look worse, right?
00:06:43.800 Being in office
00:06:44.860 makes you subject to more criticism.
00:06:46.920 So I think whoever's in office
00:06:49.700 is going to look degraded
00:06:51.280 compared to whoever is just an idea
00:06:53.780 in your head.
00:06:57.740 Now, what other polls do we have?
00:07:00.460 Hmm.
00:07:01.180 I think there's another one coming up here, too.
00:07:05.300 Let's talk about Ron DeSantis.
00:07:07.460 You know, he set up all these
00:07:08.900 Regeneron treatment centers.
00:07:11.160 So you can go in
00:07:12.880 if you've got some symptoms
00:07:14.240 and you've got a diagnosis of COVID,
00:07:18.000 you can go in and get the drip.
00:07:20.180 They'll hook you right up to the Regeneron
00:07:22.020 and get it to you early.
00:07:23.920 And there's, of course,
00:07:25.160 anecdotal,
00:07:26.000 anecdotal report
00:07:27.820 of this guy,
00:07:28.940 Britt Noel,
00:07:29.760 who said that he was feeling bad
00:07:32.540 with the COVID,
00:07:33.300 but they put him on the drip
00:07:34.580 and he immediately felt better.
00:07:36.820 Now, that's not the first time
00:07:38.000 I've heard that.
00:07:39.360 I won't tell somebody else's story,
00:07:41.780 but I did hear somebody else say
00:07:43.420 that nothing worked until the drip.
00:07:47.320 And as soon as you got out of the drip,
00:07:49.200 you just felt better.
00:07:51.000 Just like immediately you felt better.
00:07:53.900 So let's combine two things.
00:07:59.780 Let's say that the Regeneron,
00:08:01.700 according to science,
00:08:03.180 as well as anecdote,
00:08:04.840 don't you like it
00:08:05.540 when science and anecdote agree?
00:08:08.580 Because here's a case.
00:08:10.620 Anecdotally,
00:08:11.120 we hear that Regeneron works,
00:08:12.460 but scientifically,
00:08:13.340 it seems to work as well.
00:08:15.540 If we have enough of it,
00:08:16.740 I think the problem
00:08:17.560 might be supply, actually.
00:08:20.000 But here's my question.
00:08:21.940 You know,
00:08:22.220 Michael Mina has been talking
00:08:23.520 for over a year,
00:08:24.680 I guess,
00:08:25.520 a year and a half,
00:08:26.280 I think,
00:08:26.660 about we should be doing rapid tests,
00:08:29.820 which are not as accurate
00:08:31.220 as the ones you could get
00:08:32.700 at your doctor's office.
00:08:34.640 But they're, you know,
00:08:35.980 90% accurate.
00:08:36.820 So suppose everybody
00:08:38.500 had a cheap rapid test
00:08:39.920 and also access to Regeneron
00:08:43.000 on demand.
00:08:44.740 As soon as they got symptoms,
00:08:46.360 boom,
00:08:46.760 just go get your Regeneron.
00:08:48.400 What would happen
00:08:49.440 if we could catch
00:08:50.600 nine out of ten infections
00:08:52.620 earlier than they normally
00:08:53.880 would have been caught,
00:08:55.460 and all nine of those ten people
00:08:57.140 go get Regeneron right away?
00:08:59.680 I feel like we're done.
00:09:03.600 Don't you?
00:09:04.860 I feel like that would be,
00:09:06.400 that's the end of the pandemic.
00:09:08.640 Nine out of ten catching it early,
00:09:10.920 if in the hypothetical situation,
00:09:12.860 which we don't have now,
00:09:14.280 where you have cheap,
00:09:15.620 ubiquitous testing
00:09:16.660 and everybody's just testing
00:09:17.720 all the time.
00:09:18.640 If you got nine out of ten people,
00:09:21.540 but you missed that tenth one,
00:09:23.600 which is the one
00:09:24.580 you're going to miss,
00:09:25.760 probably?
00:09:26.940 You're probably going to miss
00:09:27.940 the one that didn't have
00:09:28.820 many symptoms.
00:09:30.620 So if the nine out of ten
00:09:31.980 are, on average,
00:09:33.140 the ones who have most symptoms,
00:09:34.640 they're probably the ones
00:09:35.580 with the big viral load,
00:09:37.180 probably the ones
00:09:38.120 who are going to be
00:09:38.660 coughing all over you.
00:09:40.020 I feel like if you got
00:09:41.100 nine out of ten,
00:09:42.860 it's closer to ten out of ten
00:09:44.400 than you think,
00:09:45.760 because that one
00:09:46.400 that they don't get,
00:09:48.140 I'm guessing that the reason
00:09:49.640 they wouldn't get them
00:09:50.420 is because their viral load
00:09:52.420 would be too low.
00:09:53.540 Can somebody give me
00:09:54.140 a fact check on that?
00:09:54.980 Are the tests
00:09:56.420 somewhat inaccurate
00:09:59.580 only based on how much
00:10:02.160 viral stuff there is,
00:10:03.500 or is there another
00:10:04.140 source of inaccuracy
00:10:05.240 besides the operator?
00:10:09.300 So, Michael Mina
00:10:10.520 is pointing out once again
00:10:11.660 that we have not treated
00:10:12.940 the rapid testing
00:10:14.580 the right way,
00:10:15.660 because I guess we treat it
00:10:17.160 as a medical decision,
00:10:20.420 and therefore it goes
00:10:21.300 through some approval process,
00:10:22.760 and therefore we can't
00:10:23.580 have nice things
00:10:24.260 in this country.
00:10:24.980 So, other countries
00:10:26.360 have these rapid tests
00:10:27.580 available,
00:10:28.380 but if you do
00:10:30.080 what Florida has done,
00:10:32.320 which is set up
00:10:32.960 these Regeneron sites
00:10:34.720 where it's easy
00:10:35.520 to just go get the drip,
00:10:38.320 and then on top of that
00:10:39.840 you do the Michael Mina
00:10:41.040 cheap but not perfectly
00:10:43.480 accurate testing,
00:10:44.160 testing,
00:10:44.660 I feel like you're done.
00:10:47.160 Honestly, that feels
00:10:48.600 pretty close to done
00:10:49.840 with the pandemic.
00:10:51.420 It turns it into endemic,
00:10:53.020 where it's just always here
00:10:54.080 but doesn't kill you.
00:10:57.800 Talk about your two movies
00:11:00.100 on one screen.
00:11:02.260 I'm going to read you
00:11:03.440 something from a source
00:11:05.660 that I think is credible,
00:11:07.000 but only credible
00:11:09.160 for this topic.
00:11:10.220 All right?
00:11:10.880 Not credible in general,
00:11:12.640 but just specific
00:11:13.720 to the specific point
00:11:15.300 I'm going to make
00:11:15.820 is credible
00:11:16.380 and is completely
00:11:18.300 opposite of everything
00:11:19.600 I believe to be true.
00:11:21.860 So, here's the fun part.
00:11:24.200 Is this my blind spot?
00:11:27.460 Because some of you
00:11:28.440 are going to have
00:11:28.820 the same experience
00:11:29.700 in a moment
00:11:30.180 when I tell you
00:11:30.740 what the topic is.
00:11:31.860 You're going to say to yourself,
00:11:33.060 wait a minute,
00:11:34.140 that's literally
00:11:34.940 100% opposite
00:11:36.320 of everything
00:11:37.020 I think to be true.
00:11:38.800 But it comes from
00:11:39.720 a strong source.
00:11:41.440 I don't know
00:11:41.840 what to do with this.
00:11:43.140 So, here's the situation.
00:11:45.180 Dr. Pierre Corey,
00:11:47.360 K-R-R-Y,
00:11:48.680 you've heard of him
00:11:49.380 because he's provocative
00:11:50.860 and he's been saying
00:11:51.680 things that are opposite
00:11:52.980 of mainstream
00:11:54.140 medical opinion.
00:11:57.140 And specifically
00:11:57.780 on the I-word.
00:12:00.340 I'm not going to say it
00:12:02.820 because I'll get banned.
00:12:04.700 So, he's a pro-
00:12:06.240 Ivermectin.
00:12:07.660 Okay, I'll just say
00:12:08.400 Ivermectin guy.
00:12:09.980 And here's what he says
00:12:11.180 about the evidence
00:12:12.060 for Ivermectin,
00:12:13.460 which I believe
00:12:14.780 is literally
00:12:15.780 the opposite of true
00:12:17.160 and still believe it.
00:12:19.480 But at the same time,
00:12:21.040 I don't see how
00:12:22.280 he could be wrong
00:12:23.000 about this
00:12:23.540 because it's his field
00:12:24.520 and he's looked into it
00:12:26.560 and he has a deep interest.
00:12:29.200 So, let me tell you
00:12:30.160 what he says.
00:12:31.400 He says that
00:12:32.660 Ivermectin evidence
00:12:33.820 has 31 randomized
00:12:36.540 controlled trials
00:12:37.940 and 32 observational
00:12:40.960 controlled trials,
00:12:42.800 including 26,000 patients
00:12:44.980 and finds,
00:12:45.720 according to him,
00:12:46.620 and this is opposite
00:12:47.940 of mainstream medicine,
00:12:49.460 but he says this,
00:12:50.800 finds large statistically
00:12:52.800 significant reductions
00:12:54.220 in mortality hospitalizations,
00:12:56.380 time to recover
00:12:57.280 and viral clearance.
00:12:58.360 He says the IDSA,
00:13:00.480 which is the
00:13:00.860 Infectious Disease
00:13:01.680 Society of America,
00:13:03.300 won't or can't
00:13:04.840 recommend it
00:13:06.120 because they're captured
00:13:07.020 by research dollars
00:13:08.920 from the NIH.
00:13:10.500 Now,
00:13:11.660 how could my understanding
00:13:13.520 be so opposite?
00:13:16.340 My understanding
00:13:17.100 is that there might be
00:13:18.160 one or two
00:13:19.900 randomized controlled trials
00:13:21.640 and that one of them
00:13:23.320 has been debunked
00:13:24.340 as garbage.
00:13:25.260 That's my understanding.
00:13:28.480 I don't think it's true,
00:13:30.640 but that's my understanding,
00:13:33.640 just maybe two
00:13:34.800 randomized controlled trials.
00:13:36.260 And he's saying
00:13:36.820 there are 31 of them.
00:13:39.080 Could that possibly be true,
00:13:41.420 that there are 31
00:13:42.800 randomized controlled trials
00:13:44.700 for COVID?
00:13:46.500 Yeah,
00:13:49.560 I know you're saying
00:13:50.180 overseas,
00:13:51.160 but I don't feel like it.
00:13:54.060 So,
00:13:54.480 yeah,
00:13:54.720 and then 32
00:13:55.500 that are observational.
00:13:59.640 So,
00:14:00.300 Brett
00:14:00.600 Weinstein
00:14:03.060 has been saying
00:14:03.620 the same thing.
00:14:05.000 Why is it that
00:14:05.800 we don't even know this?
00:14:08.400 How could we think
00:14:09.660 there might be
00:14:10.180 one or two
00:14:10.920 and one of them
00:14:12.040 is clearly debunked
00:14:13.300 and then people
00:14:14.580 who clearly know
00:14:15.620 what they're talking about
00:14:16.480 say there are 31?
00:14:18.740 What the hell is going on?
00:14:20.400 I don't even have
00:14:21.240 an opinion.
00:14:22.500 I don't know which it is.
00:14:23.460 Is it two
00:14:24.140 and one of them
00:14:25.680 is bullshit
00:14:26.100 or is it 31
00:14:28.220 and they're pretty good?
00:14:29.940 What the hell
00:14:30.680 is going on?
00:14:32.160 I have no idea here.
00:14:33.820 This is
00:14:34.140 completely baffling.
00:14:35.640 No idea.
00:14:38.200 All right,
00:14:38.740 here's something
00:14:39.200 to scare you.
00:14:41.060 TikTok
00:14:41.500 has overtaken
00:14:42.640 YouTube
00:14:43.060 for most minutes
00:14:44.320 watched.
00:14:45.620 Did you hear that?
00:14:49.100 TikTok
00:14:49.420 just overtook
00:14:50.940 YouTube
00:14:51.460 for most minutes
00:14:53.500 watched
00:14:54.020 and TikTok
00:14:55.340 is a Chinese
00:14:57.040 brainwashing app.
00:14:59.460 Now,
00:14:59.920 they don't say that.
00:15:01.440 That's my
00:15:01.940 allegation.
00:15:03.680 And there are
00:15:04.500 some assumptions
00:15:05.040 and speculation
00:15:05.680 built into this
00:15:06.480 allegation.
00:15:07.500 So when you
00:15:08.120 sue me,
00:15:08.560 TikTok,
00:15:09.580 I'm going to
00:15:10.100 back up and say,
00:15:10.900 whoa,
00:15:11.180 I didn't say it was true.
00:15:12.740 I said it looks
00:15:13.300 like it's true.
00:15:14.740 Sure looks like it.
00:15:16.060 That's all I know.
00:15:17.360 I just know
00:15:18.180 it looks that way.
00:15:20.320 And
00:15:20.720 the interesting
00:15:23.500 thing is the
00:15:24.220 content on TikTok.
00:15:26.360 I would like to
00:15:27.160 give you my
00:15:27.900 impression
00:15:28.340 of everybody
00:15:30.040 on TikTok.
00:15:30.820 Can you handle it?
00:15:33.360 My impression
00:15:34.300 of every video
00:15:36.220 on TikTok.
00:15:37.060 Now,
00:15:37.780 I'm not very good
00:15:38.960 at dancing,
00:15:39.860 so you'll have to
00:15:41.080 look past my
00:15:41.780 dance moves.
00:15:43.100 I want you
00:15:43.580 to concentrate
00:15:44.180 just on my
00:15:45.000 impression
00:15:45.380 of the
00:15:46.020 facial part.
00:15:48.440 So I think
00:15:48.940 from,
00:15:49.300 you know,
00:15:49.760 chin to head,
00:15:50.800 I'm going to
00:15:51.200 be nailing
00:15:51.700 this impression.
00:15:53.120 The rest
00:15:53.820 of my body,
00:15:54.580 well,
00:15:54.920 not so good.
00:15:57.000 But let me
00:15:58.340 see if I can
00:15:58.860 get into the
00:15:59.460 mood for
00:16:01.240 your first
00:16:02.060 every single
00:16:03.460 TikTok
00:16:03.860 video
00:16:05.420 that you've
00:16:06.380 seen.
00:16:06.620 and
00:16:21.580 seen.
00:16:25.980 Now,
00:16:26.500 my understanding
00:16:27.180 is that in
00:16:28.920 order to make
00:16:29.480 a perfect
00:16:30.340 TikTok
00:16:31.240 dance video,
00:16:32.880 you've got to
00:16:34.080 have many
00:16:34.440 elements.
00:16:35.180 One of the
00:16:35.540 elements you
00:16:36.020 should have
00:16:36.520 is an
00:16:36.860 attractive
00:16:37.240 person,
00:16:38.280 male or
00:16:38.760 female,
00:16:40.000 ideally younger,
00:16:41.780 but attractive.
00:16:43.340 That attractive
00:16:44.240 person should
00:16:45.000 have some
00:16:45.480 dance moves.
00:16:46.480 That makes
00:16:47.060 it a little
00:16:47.400 bit more
00:16:47.780 viral.
00:16:48.320 You know,
00:16:48.500 can move
00:16:49.060 pretty good.
00:16:50.320 But on top
00:16:51.060 of that,
00:16:52.000 they have to
00:16:52.440 do something
00:16:53.000 with the
00:16:53.500 face that
00:16:55.720 makes you
00:16:56.160 want to
00:16:56.520 punch them
00:16:57.140 with a
00:16:58.320 brick.
00:16:59.940 Now,
00:17:00.440 don't do
00:17:00.780 that.
00:17:01.300 I'm very
00:17:01.800 much opposed
00:17:02.480 to violence.
00:17:04.120 But you
00:17:05.140 can't really
00:17:05.660 watch a
00:17:06.140 TikTok
00:17:06.440 video without
00:17:08.180 wanting to
00:17:08.900 smash the
00:17:09.680 people in
00:17:10.120 them with
00:17:10.540 bricks.
00:17:12.040 Am I the
00:17:12.720 only one
00:17:13.000 who thinks
00:17:13.300 that?
00:17:15.720 It's not
00:17:16.300 just me.
00:17:18.080 Come on.
00:17:20.900 Come on.
00:17:21.580 It's not
00:17:21.900 just me.
00:17:23.680 Yeah,
00:17:24.180 you want to
00:17:24.600 kill all of
00:17:25.180 them with a
00:17:25.580 brick.
00:17:26.500 You do.
00:17:27.220 You just
00:17:28.520 want to
00:17:28.780 murder them.
00:17:30.260 Now,
00:17:30.900 I assume
00:17:32.560 that this
00:17:33.000 is what
00:17:33.480 China's
00:17:34.540 master
00:17:34.880 plan is.
00:17:36.680 I think
00:17:37.260 the
00:17:37.420 master
00:17:37.700 plan
00:17:38.080 is to
00:17:38.500 make us
00:17:38.900 hate each
00:17:39.580 other with
00:17:40.020 such a
00:17:40.440 passion
00:17:40.800 because
00:17:42.160 that face
00:17:44.160 you've got
00:17:44.540 to hit
00:17:44.700 with a
00:17:44.980 brick.
00:17:46.900 I mean,
00:17:47.380 you really
00:17:47.680 just have
00:17:48.060 to hit
00:17:48.260 that with
00:17:48.540 a brick.
00:17:49.360 Don't do
00:17:49.880 that,
00:17:50.320 though.
00:17:50.660 It's
00:17:50.840 violent.
00:17:52.920 Have you
00:17:53.400 seen the
00:17:53.680 video of
00:17:54.200 Obama?
00:17:55.140 I think
00:17:55.760 it's a
00:17:56.080 real video.
00:17:57.320 But,
00:17:57.580 you know,
00:17:57.720 you have
00:17:57.960 all these
00:17:58.320 deepfake
00:17:58.960 videos of
00:18:00.360 Obama,
00:18:01.440 but it
00:18:01.860 looked real.
00:18:02.920 So if
00:18:03.220 somebody can
00:18:03.740 fact-check
00:18:04.280 me on
00:18:04.620 this,
00:18:05.200 apparently he
00:18:05.920 was talking
00:18:06.340 to Colbert
00:18:07.140 about a
00:18:08.420 hypothetical
00:18:09.300 third term,
00:18:11.140 and he
00:18:11.400 said if he
00:18:11.880 could just
00:18:12.300 be behind
00:18:12.840 the scenes
00:18:13.460 sort of as
00:18:14.540 a puppet
00:18:15.040 master and
00:18:16.380 tell other
00:18:16.940 people what
00:18:17.420 to say,
00:18:18.580 but he
00:18:18.880 didn't have
00:18:19.260 to be
00:18:19.500 president,
00:18:20.400 you know,
00:18:20.540 he could
00:18:20.760 just have
00:18:21.120 somebody as
00:18:21.640 a front
00:18:22.360 for him
00:18:22.860 and his
00:18:23.400 opinions,
00:18:25.000 that that
00:18:25.820 would be his
00:18:26.240 ideal situation
00:18:27.120 for a third
00:18:28.040 term.
00:18:28.960 Now,
00:18:33.940 I hear
00:18:34.740 people saying
00:18:35.280 that it
00:18:36.480 looks like
00:18:36.840 a real
00:18:37.220 clip.
00:18:38.320 Now,
00:18:38.480 I think
00:18:38.680 he was
00:18:39.060 somewhat
00:18:40.180 joking,
00:18:42.060 but maybe
00:18:42.800 not so
00:18:43.340 much,
00:18:44.080 because it
00:18:45.540 does look
00:18:46.220 like he
00:18:46.720 might be
00:18:47.120 behind the
00:18:47.600 scenes
00:18:47.860 pulling some
00:18:48.500 strings.
00:18:49.580 Now,
00:18:49.860 I don't
00:18:50.040 think he's
00:18:50.440 going to
00:18:50.660 admit it
00:18:51.080 after
00:18:51.380 Afghanistan,
00:18:52.680 but maybe.
00:18:53.980 Now,
00:18:54.400 let's talk
00:18:54.740 about
00:18:55.080 BRS.
00:18:57.140 Have you
00:18:57.440 heard of
00:18:57.660 BRS?
00:18:58.260 It's a
00:18:59.140 medical
00:18:59.440 condition.
00:19:01.180 It's
00:19:01.780 sort of
00:19:02.240 sweeping the
00:19:02.800 country.
00:19:04.040 And it
00:19:04.240 stands for
00:19:04.680 Biden
00:19:05.040 Regret
00:19:05.620 Syndrome,
00:19:06.560 BRS.
00:19:07.880 And there
00:19:09.580 was a
00:19:09.840 poll by,
00:19:10.740 let's
00:19:11.240 see,
00:19:11.860 somebody,
00:19:16.240 that says
00:19:17.000 one-fifth of
00:19:17.820 voters who
00:19:18.500 voted for
00:19:20.200 Biden now
00:19:21.980 want their
00:19:22.380 vote back.
00:19:22.960 vote.
00:19:24.940 What?
00:19:25.980 One-fifth of
00:19:27.440 the people
00:19:27.880 who voted
00:19:28.400 for Biden
00:19:29.100 wish they
00:19:30.420 could change
00:19:30.900 their vote
00:19:31.280 now.
00:19:32.620 One-fifth.
00:19:34.960 Do you
00:19:35.620 know how
00:19:36.100 not close
00:19:36.880 an election
00:19:37.400 would be
00:19:37.920 if one-fifth
00:19:38.780 of the people
00:19:39.240 really did
00:19:39.760 change their
00:19:40.240 vote from
00:19:40.640 Biden?
00:19:41.440 Wouldn't
00:19:41.700 be close.
00:19:43.220 It would
00:19:43.480 be the
00:19:43.720 biggest
00:19:43.940 landslide
00:19:44.500 of any
00:19:44.880 election,
00:19:45.320 probably.
00:19:46.340 Now,
00:19:46.780 I don't
00:19:47.000 know how
00:19:47.300 much to
00:19:47.660 believe that
00:19:48.240 about this
00:19:49.360 20%.
00:19:50.280 It sounds
00:19:50.660 high,
00:19:51.480 especially
00:19:51.920 when there
00:19:52.320 was the
00:19:52.700 other poll
00:19:53.220 I mentioned
00:19:53.680 that showed
00:19:54.120 that they're
00:19:54.440 running neck
00:19:54.940 and neck.
00:19:55.860 So I'm
00:19:56.500 not sure I
00:19:56.880 believe both
00:19:57.380 of those
00:19:57.680 polls.
00:19:58.480 I think
00:19:58.800 you have
00:19:58.980 to pick
00:19:59.260 one because
00:19:59.760 they seem
00:20:00.100 a little
00:20:00.320 bit
00:20:00.600 conflicty.
00:20:03.000 So it
00:20:03.860 was Zogby
00:20:04.380 that found
00:20:04.860 that 20%
00:20:05.980 of Biden
00:20:07.380 voters have
00:20:07.920 some regret.
00:20:10.280 But nearly
00:20:12.780 three in
00:20:13.440 10 or
00:20:14.440 29% of
00:20:15.560 Republicans
00:20:16.120 who voted
00:20:16.700 for Biden
00:20:17.300 regretted it.
00:20:19.300 Well,
00:20:19.820 only 20%
00:20:20.620 of Democrats
00:20:21.340 regretted it.
00:20:22.860 And only
00:20:23.120 14% of
00:20:23.920 independents.
00:20:25.420 So independents
00:20:26.340 seem pretty
00:20:27.740 happy with
00:20:28.240 their vote.
00:20:29.280 So the
00:20:29.580 independents
00:20:30.180 who voted
00:20:30.580 for Biden
00:20:31.480 are like,
00:20:32.340 yeah,
00:20:32.620 I think
00:20:32.920 we nailed
00:20:33.300 it.
00:20:34.040 I think
00:20:34.400 he's doing
00:20:34.780 a fine
00:20:35.320 job.
00:20:36.660 Well,
00:20:37.180 here's the
00:20:37.520 funny part.
00:20:39.480 Vice
00:20:39.800 President
00:20:40.200 Harris
00:20:41.160 is going
00:20:41.720 to campaign
00:20:43.120 with Gavin
00:20:44.080 Newsom in
00:20:44.620 California
00:20:45.060 to try
00:20:45.660 to get
00:20:46.140 him to
00:20:46.820 prevail
00:20:48.180 against
00:20:48.860 the recall
00:20:49.580 and I
00:20:50.700 wonder how
00:20:51.160 that
00:20:51.400 conversation
00:20:52.100 went.
00:20:53.720 Hmm.
00:20:55.280 Imagine
00:20:55.760 little
00:20:56.420 noise
00:20:56.960 that is
00:20:57.840 the noise
00:20:58.780 that indicates
00:20:59.420 I'm thinking
00:21:00.160 or imagining
00:21:01.340 the scene.
00:21:02.640 Ding,
00:21:02.820 ding,
00:21:03.100 ding,
00:21:03.240 ding.
00:21:04.720 Imagine
00:21:05.280 the White
00:21:08.560 House
00:21:08.880 contacts
00:21:10.280 Gavin Newsom
00:21:11.060 and says,
00:21:12.280 hey,
00:21:12.500 Gavin Newsom,
00:21:13.180 we want to
00:21:13.660 make sure
00:21:14.120 that you
00:21:14.680 win and
00:21:15.200 you recall.
00:21:15.600 we'd
00:21:17.000 like to
00:21:17.240 have
00:21:17.420 President
00:21:17.840 Biden
00:21:18.280 come out
00:21:19.480 and maybe
00:21:20.260 campaign
00:21:20.660 with you
00:21:21.100 and give
00:21:21.380 you a
00:21:21.660 boost.
00:21:22.940 And you
00:21:23.160 can see
00:21:23.520 Newsom
00:21:23.860 on the
00:21:24.140 phone.
00:21:26.400 That is
00:21:27.180 very
00:21:27.720 generous
00:21:28.200 of you.
00:21:29.780 Very
00:21:30.300 generous
00:21:30.800 to send
00:21:31.380 Joe Biden
00:21:32.080 right after
00:21:32.640 the Afghanistan
00:21:33.400 debacle
00:21:34.220 so that I
00:21:35.840 will be
00:21:36.460 thought of
00:21:37.780 in the
00:21:38.060 same vein
00:21:38.760 as the
00:21:39.420 most
00:21:39.620 incompetent
00:21:40.280 president
00:21:40.640 of all
00:21:41.200 time.
00:21:42.280 No
00:21:42.580 thank
00:21:42.860 you.
00:21:44.260 And
00:21:44.460 then the
00:21:44.720 White
00:21:44.860 House
00:21:45.040 says,
00:21:45.540 okay,
00:21:45.880 okay,
00:21:46.100 we get
00:21:46.460 it,
00:21:46.780 it's a
00:21:47.220 bad
00:21:47.380 time.
00:21:48.540 But we
00:21:49.140 got a
00:21:49.360 backup
00:21:49.620 plan.
00:21:50.660 We have
00:21:50.920 a backup
00:21:51.280 plan.
00:21:52.700 And
00:21:52.940 Gavin
00:21:53.200 Newsom
00:21:53.540 says,
00:21:54.020 thank
00:21:55.060 goodness,
00:21:56.300 I don't
00:21:56.660 need to
00:21:57.360 hear the
00:21:57.660 details,
00:21:58.700 but please
00:21:59.420 don't do
00:22:01.660 my campaign
00:22:02.600 by sending
00:22:03.660 me Joe
00:22:04.160 Biden.
00:22:06.000 I mean,
00:22:06.360 nobody's
00:22:06.700 going to
00:22:06.940 give me
00:22:07.240 an extra
00:22:07.600 vote because
00:22:08.140 Joe Biden,
00:22:08.840 the architect
00:22:10.260 of the
00:22:10.920 Afghan
00:22:11.400 disaster,
00:22:12.580 don't want
00:22:13.200 that,
00:22:14.120 so just
00:22:14.540 send somebody
00:22:15.420 good.
00:22:17.920 Next thing
00:22:18.760 he hears is
00:22:19.320 that Kamala
00:22:19.840 Harris has
00:22:20.440 been chosen,
00:22:22.000 literally the
00:22:23.380 vice president
00:22:24.420 that most
00:22:25.480 people think
00:22:26.200 isn't up
00:22:27.080 for the
00:22:27.360 job.
00:22:28.580 The
00:22:28.780 person,
00:22:30.040 the only
00:22:30.540 person in
00:22:31.120 American
00:22:31.480 politics right
00:22:32.380 now,
00:22:33.920 fact check
00:22:34.480 me on
00:22:34.800 this,
00:22:35.340 but probably
00:22:36.640 the lowest
00:22:37.720 regarded
00:22:38.360 politician in
00:22:40.200 the national
00:22:40.840 domain.
00:22:41.580 would you
00:22:42.640 say?
00:22:43.540 Could you
00:22:43.960 think of
00:22:44.260 anybody in
00:22:44.780 the national
00:22:45.440 domain,
00:22:46.280 not the
00:22:46.720 states,
00:22:47.300 not governors,
00:22:48.500 but in
00:22:49.080 the national
00:22:49.600 domain,
00:22:50.380 is there
00:22:50.700 anybody with
00:22:51.640 a worse
00:22:52.060 reputation
00:22:52.880 right now?
00:22:55.260 Pelosi?
00:22:56.200 I don't know.
00:22:56.860 Pelosi is
00:22:57.380 probably really
00:22:57.940 popular with
00:22:58.620 their own
00:22:59.000 team,
00:22:59.320 though.
00:23:00.540 I can't,
00:23:00.880 I can't,
00:23:01.400 well,
00:23:01.660 Omar,
00:23:02.160 okay,
00:23:02.680 that would
00:23:03.040 have been,
00:23:06.200 yeah,
00:23:07.880 Omar might
00:23:08.380 be less
00:23:08.720 popular.
00:23:09.260 Okay,
00:23:09.580 that would
00:23:09.780 be a good
00:23:10.340 example.
00:23:11.580 But poor
00:23:12.840 Governor Newsom,
00:23:14.100 he seems
00:23:14.560 doomed,
00:23:15.200 because if
00:23:15.940 you have
00:23:16.280 to rely
00:23:16.840 on the
00:23:17.940 glow of
00:23:20.220 Kamala
00:23:20.820 Harris'
00:23:21.460 reputation
00:23:22.060 to pull
00:23:23.060 you over
00:23:23.420 the finish
00:23:24.180 line,
00:23:25.380 you might
00:23:26.660 not make
00:23:27.100 it over
00:23:27.320 the finish
00:23:27.740 line,
00:23:28.320 so it's
00:23:28.700 not looking
00:23:29.060 good.
00:23:30.480 Meanwhile,
00:23:31.280 over in
00:23:31.700 Chicago,
00:23:32.520 46 people,
00:23:33.920 including
00:23:34.300 eight children,
00:23:35.060 have been
00:23:35.340 shot over
00:23:36.260 the weekend.
00:23:36.780 46 people
00:23:38.800 shot in
00:23:40.300 Chicago over
00:23:41.140 the weekend.
00:23:42.480 Question,
00:23:44.000 how many
00:23:44.480 people were
00:23:44.980 shot in
00:23:45.500 Kabul over
00:23:46.260 the weekend?
00:23:48.040 I mean,
00:23:48.660 actually,
00:23:49.100 seriously,
00:23:50.040 how many
00:23:50.760 people in
00:23:51.420 Kabul were
00:23:53.000 shot over
00:23:54.620 the weekend?
00:23:55.920 I mean,
00:23:56.220 it might have
00:23:56.580 been more,
00:23:57.980 but you're
00:23:59.660 not sure,
00:24:00.260 are you?
00:24:01.700 It might have
00:24:02.560 been more,
00:24:03.620 could have
00:24:03.940 been a lot
00:24:04.280 more,
00:24:05.520 but you're
00:24:06.140 not sure.
00:24:07.740 Just think
00:24:08.200 about that.
00:24:09.400 Think about
00:24:09.920 the fact
00:24:10.360 that off
00:24:10.780 the top
00:24:11.160 of your
00:24:11.340 head,
00:24:11.940 you're not
00:24:12.720 sure if
00:24:13.980 Chicago had
00:24:14.700 more gun
00:24:15.200 violence than
00:24:15.880 Kabul this
00:24:16.600 weekend.
00:24:18.400 I don't
00:24:19.000 know.
00:24:20.460 Yeah.
00:24:22.960 Well,
00:24:23.500 here's the
00:24:23.880 fun part.
00:24:24.600 I know,
00:24:25.100 you're waiting
00:24:25.440 for the good
00:24:25.860 part.
00:24:26.700 I took you
00:24:27.160 through all
00:24:27.440 the bad
00:24:27.720 part to get
00:24:28.220 to the good
00:24:28.520 part,
00:24:28.780 to make it
00:24:29.120 feel extra,
00:24:30.240 extra good,
00:24:30.980 and watch
00:24:31.520 how good this
00:24:32.080 feels.
00:24:33.240 We have
00:24:33.660 some news
00:24:34.080 about the
00:24:34.420 upcoming
00:24:34.820 Arizona
00:24:35.700 audit results.
00:24:38.920 And from
00:24:39.380 this tweet,
00:24:40.180 whose name
00:24:41.100 I didn't
00:24:41.440 write down,
00:24:41.960 Wendy,
00:24:42.620 Wendy,
00:24:43.720 I don't know,
00:24:44.880 and the
00:24:47.100 tweet says,
00:24:47.620 the audit
00:24:47.940 is coming,
00:24:48.640 guys,
00:24:49.340 I promise
00:24:50.080 you.
00:24:50.420 Now,
00:24:50.620 here's what
00:24:50.900 we're going
00:24:51.160 to do.
00:24:51.420 We're going
00:24:51.700 to read
00:24:52.020 between the
00:24:52.560 lines,
00:24:53.120 okay?
00:24:53.840 So I'm
00:24:54.240 going to
00:24:54.420 read you
00:24:54.760 the tweet
00:24:55.240 and the
00:24:56.240 rest of
00:24:56.540 the thread,
00:24:57.740 and then I
00:24:58.200 want you
00:24:58.520 to see
00:24:59.000 if Wendy
00:25:01.000 Rogers,
00:25:01.520 yes,
00:25:01.800 thank you,
00:25:02.160 it's a
00:25:02.360 Wendy Rogers
00:25:02.940 tweet,
00:25:03.660 and I
00:25:04.420 want you
00:25:04.740 to see
00:25:05.040 if you
00:25:05.320 can read
00:25:05.700 between
00:25:06.040 the lines
00:25:06.680 and tell
00:25:07.720 me if
00:25:08.060 Wendy Rogers
00:25:08.740 is hinting
00:25:09.920 to you
00:25:10.380 that there's
00:25:11.180 something big
00:25:11.820 coming,
00:25:13.080 or is she
00:25:14.700 hinting that
00:25:15.360 they didn't
00:25:15.720 find anything?
00:25:17.620 All right?
00:25:18.100 So we're
00:25:18.560 going to read
00:25:18.840 between the
00:25:19.320 lines and
00:25:19.920 see what
00:25:20.340 you think.
00:25:21.480 Did they
00:25:21.800 find the
00:25:22.360 goods,
00:25:23.420 or did
00:25:23.760 they not?
00:25:24.280 Because at
00:25:24.660 this point,
00:25:25.140 they'd be
00:25:25.460 signaling to
00:25:26.080 us in
00:25:26.400 advance,
00:25:26.900 I think.
00:25:27.980 All right?
00:25:28.240 So I'll
00:25:28.460 read it again.
00:25:29.180 Look for
00:25:29.520 that.
00:25:29.820 The audit
00:25:31.100 is coming,
00:25:31.700 guys.
00:25:32.020 I promise
00:25:32.480 you.
00:25:33.100 I get a lot
00:25:33.680 of comments
00:25:34.160 asking,
00:25:34.800 and people
00:25:35.100 think I can
00:25:35.680 speed it up,
00:25:36.340 but I can't
00:25:36.900 speed it up.
00:25:37.900 It is a process,
00:25:38.860 and it is coming.
00:25:40.260 Also, other
00:25:41.440 information is
00:25:42.480 coming out I
00:25:43.440 can't disclose.
00:25:45.840 Just know that
00:25:46.980 it is all
00:25:47.540 going to
00:25:48.060 happen, and
00:25:49.660 this is real.
00:25:51.900 Keep the
00:25:52.400 faith.
00:25:53.680 Make sure
00:25:54.020 your state is
00:25:54.700 doing an
00:25:55.020 audit, because
00:25:55.480 when our
00:25:55.860 audit comes
00:25:56.380 out, the
00:25:57.360 next steps
00:25:57.940 are to get
00:25:59.320 this done in
00:26:00.040 other states.
00:26:01.320 Start pushing
00:26:02.040 that now.
00:26:04.480 Okay?
00:26:05.700 Now, did
00:26:07.020 you hear in
00:26:07.660 any of those
00:26:08.180 words an
00:26:09.620 indication that
00:26:10.620 they found
00:26:11.260 enough fraud
00:26:12.200 that would
00:26:12.660 change the
00:26:13.300 outcome of
00:26:13.780 the election?
00:26:15.060 How many
00:26:15.540 people think
00:26:16.220 that this is
00:26:17.500 hinting that
00:26:18.140 they found
00:26:18.640 it?
00:26:19.240 They found
00:26:19.700 the goods?
00:26:20.960 I'm going to
00:26:21.500 look at your
00:26:21.960 comments.
00:26:23.160 I'm saying
00:26:23.620 no's, yes's,
00:26:24.840 no's, maybe
00:26:26.800 nothing, huge,
00:26:29.600 nope, yep,
00:26:30.400 yep, I'm
00:26:31.020 saying yes's
00:26:31.580 and no's.
00:26:32.580 So you're
00:26:32.980 kind of split,
00:26:33.820 but I think
00:26:34.200 more no's
00:26:34.760 than yes's.
00:26:35.740 Here is my
00:26:36.580 official opinion.
00:26:38.440 This looks
00:26:39.200 like a no.
00:26:41.200 Right?
00:26:41.580 Now, we
00:26:41.940 can't know
00:26:42.280 for sure, so
00:26:43.020 we're all
00:26:43.660 just guessing
00:26:44.360 and trying
00:26:45.380 to calculate
00:26:46.260 the odds
00:26:46.720 here.
00:26:47.480 But if I
00:26:48.080 had to
00:26:48.580 place a
00:26:49.020 bet, I
00:26:50.980 would bet
00:26:51.420 that the
00:26:51.780 outcome, just
00:26:52.440 based on
00:26:52.980 reading between
00:26:53.680 the lines,
00:26:54.540 my bet is
00:26:55.320 that they
00:26:55.720 will find
00:26:56.400 some fraud
00:26:57.100 or they
00:26:59.800 will find
00:27:00.380 that there
00:27:00.900 could have
00:27:01.580 been enough
00:27:02.660 fraud, but
00:27:04.160 they couldn't
00:27:04.800 prove it.
00:27:06.540 So I think
00:27:07.180 where this is
00:27:07.720 going to come
00:27:08.100 out is there
00:27:09.580 could have
00:27:10.160 been fraud,
00:27:10.840 fraud, but
00:27:11.180 we couldn't
00:27:11.640 look at
00:27:11.960 everything, but
00:27:13.560 we didn't
00:27:13.980 find enough.
00:27:14.800 We found
00:27:15.220 a little, and
00:27:16.520 that suggests
00:27:17.100 that there
00:27:17.800 is fraud, not
00:27:19.160 necessarily enough
00:27:20.180 to change any
00:27:20.900 result, but
00:27:22.660 we think that
00:27:24.400 it could be
00:27:24.980 there because
00:27:25.680 we couldn't
00:27:26.220 check everything.
00:27:28.800 You want to
00:27:29.700 bet against
00:27:30.100 that prediction?
00:27:31.400 I wouldn't
00:27:31.980 bet against
00:27:32.440 that prediction.
00:27:33.000 as predictions
00:27:35.560 go, that
00:27:37.820 one's probably
00:27:38.820 as accurate as
00:27:40.800 any prediction
00:27:41.380 will ever be.
00:27:42.420 If you've
00:27:42.860 lived in the
00:27:43.360 real world, you
00:27:44.760 know that they
00:27:45.300 didn't find it.
00:27:46.880 Because if they
00:27:47.740 found the goods,
00:27:49.740 Wendy would
00:27:50.340 have tipped us
00:27:51.460 off.
00:27:53.400 Absolutely, you
00:27:54.440 would know by
00:27:55.060 now that
00:27:55.820 something's
00:27:56.320 coming.
00:27:57.060 But instead,
00:27:58.360 instead of
00:27:58.960 telling you that
00:27:59.520 they found
00:28:00.120 something in the
00:28:01.060 audit, here's
00:28:02.180 what she
00:28:02.520 teases.
00:28:04.460 She said,
00:28:05.320 also, other
00:28:06.140 information is
00:28:06.940 coming out I
00:28:07.620 can't disclose.
00:28:09.560 So that's the
00:28:10.500 part that made
00:28:10.980 you think, oh,
00:28:11.540 she's got some
00:28:12.160 good stuff, right?
00:28:13.620 She's got other
00:28:14.480 information, and
00:28:15.840 she's hinting at
00:28:16.580 us she can't
00:28:17.620 disclose.
00:28:19.180 There's no way
00:28:20.360 that she's
00:28:21.300 referring to
00:28:21.900 finding a bunch
00:28:22.700 of fraud, or
00:28:24.420 at least enough
00:28:25.440 fraud to change
00:28:26.220 the election
00:28:26.620 outcome.
00:28:27.780 There's no way
00:28:28.640 that's what that
00:28:29.280 means.
00:28:30.320 What it means
00:28:31.020 is that the
00:28:32.520 they may have
00:28:33.080 moved the
00:28:33.460 goalposts.
00:28:34.900 It might mean
00:28:36.040 that they're
00:28:37.040 trying to find a
00:28:37.780 shiny object to
00:28:38.680 concentrate on, so
00:28:40.160 it looks like the
00:28:40.780 audit found
00:28:41.300 something.
00:28:42.820 That's what it
00:28:43.460 looks like.
00:28:44.480 So if I had to
00:28:45.420 put money on it,
00:28:46.260 I'd say they
00:28:46.700 didn't find
00:28:47.140 anything, or
00:28:48.220 they didn't find
00:28:48.820 enough to change
00:28:50.220 the result, but
00:28:51.540 they might try to
00:28:52.240 paint it as if
00:28:53.120 maybe they did,
00:28:54.000 almost sort of,
00:28:55.080 kind of.
00:28:55.600 let's talk about
00:29:00.000 climate change.
00:29:02.400 So the news is
00:29:04.780 saying it's
00:29:05.180 affecting people's
00:29:06.740 health, and that
00:29:09.800 world leaders need
00:29:10.780 to address the
00:29:11.620 climate crisis now
00:29:12.820 because we're all
00:29:14.600 going to die from
00:29:15.840 the climate crisis,
00:29:17.280 and why it
00:29:18.420 matters.
00:29:18.820 So a bunch of
00:29:19.780 publications got
00:29:20.600 together to issue a
00:29:22.520 joint statement to
00:29:23.340 world leaders, and
00:29:25.100 apparently it's the
00:29:25.740 first time so
00:29:26.640 many independent,
00:29:28.500 well, so many
00:29:29.260 organizations got
00:29:30.720 together with the
00:29:31.300 same message.
00:29:32.360 So here are the
00:29:33.040 ones that are
00:29:34.220 saying that the
00:29:35.460 climate change is
00:29:36.640 going to cause
00:29:37.120 severe health care
00:29:38.920 bad outcomes.
00:29:40.460 Among them are
00:29:41.180 the American
00:29:41.760 Medical Association,
00:29:44.860 the Lancet, and
00:29:46.860 the British Medical
00:29:47.860 Journal.
00:29:48.980 So those were
00:29:49.560 among the many,
00:29:50.680 many entities that
00:29:52.620 were saying that
00:29:53.360 climate change is a
00:29:54.480 big problem.
00:29:55.100 How do you feel
00:29:56.780 about that?
00:29:58.240 Because the
00:29:58.880 Lancet, the
00:30:00.440 Lancet says it's a
00:30:01.340 big problem.
00:30:02.800 So they're
00:30:03.560 credible, right?
00:30:05.420 No.
00:30:06.420 No, they're not
00:30:07.340 credible.
00:30:08.240 Not at all.
00:30:09.500 American Medical
00:30:10.260 Association, not so
00:30:12.300 much.
00:30:13.320 Not so much.
00:30:14.440 No, I would say
00:30:15.060 these are not
00:30:15.680 credible organizations.
00:30:17.420 Now, that doesn't
00:30:18.000 mean they're wrong.
00:30:19.960 You know, I'm
00:30:21.160 actually concerned.
00:30:22.040 I think that the
00:30:23.740 concern that
00:30:24.680 climate change
00:30:25.840 could cause
00:30:26.560 medical problems
00:30:27.820 around the world,
00:30:28.600 that's something we
00:30:29.240 should really worry
00:30:29.980 about.
00:30:30.700 Because whether or
00:30:31.580 not it's human
00:30:32.320 caused or not,
00:30:33.440 you're going to end
00:30:34.400 up with the same
00:30:35.040 health problem.
00:30:37.220 So, yeah, it's a
00:30:39.800 little like,
00:30:40.300 exactly, somebody
00:30:41.120 saying in the
00:30:41.580 comments on
00:30:42.120 locals, it's a
00:30:43.440 little like these
00:30:44.020 17 intel agencies
00:30:45.560 all agreeing.
00:30:46.220 agreeing, it's
00:30:47.920 never 17 intel
00:30:49.260 agencies agreeing.
00:30:50.800 It's a few people
00:30:51.920 in one of them
00:30:52.540 looked into it, and
00:30:53.880 the other intel
00:30:54.700 agencies said,
00:30:56.260 well, that guy
00:30:57.260 looks competent, so
00:30:58.260 we agree.
00:30:59.900 That's it.
00:31:00.780 A few people in
00:31:01.600 one organization, and
00:31:02.880 then all 17 say,
00:31:03.960 yeah, that sounds
00:31:04.500 credible.
00:31:05.560 Yeah, we're in.
00:31:07.660 So, that's what
00:31:09.660 that looks like,
00:31:10.220 too.
00:31:11.580 All right.
00:31:11.940 That is everything
00:31:14.860 I wanted to talk
00:31:15.680 about today.
00:31:22.300 I think there
00:31:23.160 were, what was
00:31:24.460 it, 64 people
00:31:25.900 died in Hurricane
00:31:27.020 Ida so far?
00:31:28.800 Isn't that more
00:31:29.400 than you expected?
00:31:31.220 I think that was
00:31:32.120 the number, 60
00:31:33.160 something.
00:31:34.180 And that's way
00:31:35.180 more than I
00:31:35.660 thought.
00:31:35.960 I thought the
00:31:36.340 number was going
00:31:37.060 to be closer to
00:31:38.260 two to four.
00:31:40.820 Because the
00:31:41.920 didn't we have
00:31:42.560 a lot of
00:31:43.100 warning?
00:31:44.360 I feel like we
00:31:45.020 had tons of
00:31:45.640 warning.
00:31:47.060 So, there's
00:31:48.400 something wrong
00:31:49.020 with our ability
00:31:49.780 to evacuate if
00:31:51.080 people are dying
00:31:52.080 when we know
00:31:52.860 trouble's coming.
00:31:55.240 New York was
00:31:56.120 unprepared.
00:31:57.240 Yeah, that's
00:31:57.680 true.
00:31:57.920 I guess there
00:31:58.320 were some
00:31:58.960 floodings that
00:32:00.560 were hard to
00:32:02.600 predict.
00:32:05.660 All right.
00:32:07.980 Would you like
00:32:08.840 to drum for
00:32:09.380 the Rolling
00:32:09.760 Stones?
00:32:11.300 Yeah.
00:32:11.920 You know,
00:32:12.760 true story,
00:32:13.840 my drum
00:32:14.540 teacher and
00:32:15.840 I had
00:32:16.260 decided that
00:32:17.100 Charlie Watts,
00:32:19.020 the now
00:32:19.600 deceased drummer
00:32:20.320 for the Stones,
00:32:20.940 was going to
00:32:21.260 be sort of
00:32:21.680 my role
00:32:22.260 model because
00:32:23.360 he'd be
00:32:23.680 relatively easy
00:32:25.340 to imitate
00:32:26.100 and that
00:32:26.560 would get
00:32:26.840 you started.
00:32:27.840 And then he
00:32:28.140 dies.
00:32:29.200 As soon as I
00:32:29.960 pick him as
00:32:30.840 my role
00:32:31.240 model, he
00:32:31.680 dies.
00:32:32.420 read the
00:32:41.540 fact
00:32:41.860 inconvenient
00:32:42.540 facts.
00:32:43.560 All right.
00:32:47.760 Please don't
00:32:48.460 choose any more
00:32:49.060 role models.
00:32:49.640 What am I
00:32:56.380 going to do
00:32:56.800 an e-bike
00:32:57.480 live stream?
00:32:59.660 Yeah, you
00:33:00.120 know, maybe I
00:33:00.920 should just
00:33:01.280 tape my
00:33:02.160 phone to my
00:33:02.720 e-bike and
00:33:03.260 go for a
00:33:03.660 ride.
00:33:04.200 Would you
00:33:04.480 like that?
00:33:05.440 I've been
00:33:05.900 waiting for
00:33:06.380 the smoke
00:33:08.560 to go down
00:33:09.440 because I
00:33:09.800 can't really
00:33:10.280 exercise outside.
00:33:12.640 Oh, should I
00:33:13.120 paint my
00:33:13.480 nail?
00:33:14.880 People are
00:33:15.420 saying that my
00:33:15.980 bruise on my
00:33:16.780 fingernail is
00:33:17.520 distracting.
00:33:18.080 I should just
00:33:18.720 paint my
00:33:19.080 nails.
00:33:20.300 That does
00:33:20.940 look pretty
00:33:21.320 ugly.
00:33:21.900 It lasts a
00:33:22.440 year.
00:33:23.380 It'll take a
00:33:23.860 year for those
00:33:24.680 bruises to
00:33:25.300 grow out.
00:33:27.700 Do I
00:33:28.000 pedal?
00:33:28.420 Yes.
00:33:29.800 In California,
00:33:30.940 you have to
00:33:31.400 pedal an
00:33:31.980 e-bike so
00:33:33.500 that it's just
00:33:34.140 an assisted
00:33:34.740 bicycle.
00:33:35.420 Otherwise,
00:33:35.780 it's a
00:33:36.040 motorcycle.
00:33:37.040 And then you
00:33:37.400 have to
00:33:37.640 license it.
00:33:39.200 How is
00:33:39.560 Boo?
00:33:41.900 I don't
00:33:42.860 know.
00:33:44.180 I mean,
00:33:44.540 she seems
00:33:45.120 happy, but
00:33:45.800 she's different,
00:33:46.720 definitely.
00:33:48.280 Plans for
00:33:48.720 a new
00:33:48.940 book, just
00:33:51.500 some thoughts
00:33:52.240 about it.
00:33:52.640 I don't
00:33:52.800 have plans
00:33:53.280 yet.
00:33:55.920 All right.
00:33:56.600 That's all I
00:33:57.000 got for now,
00:33:57.520 and I will
00:33:58.040 see you later
00:33:59.040 on YouTube.