Real Coffee with Scott Adams - Episode 1462 Scott Adams： Things in the Headlines That Make me Laugh and Cry

00:00:00.000 Good morning. It's time for Coffee with Scott Adams.

00:00:04.260 Once again, the best part of your day. It never fails.

00:00:07.620 And is everybody ready? Are you prepared?

00:00:11.200 Because you don't want to go into this without preparation.

00:00:13.580 That would be insanity.

00:00:16.040 Because all you need is a cup or a mug or a glass of tank or tails,

00:00:19.520 just dine a canteen, drink a flask vessel, get any kind.

00:00:22.320 Blah, blah, blah, blah, blah.

00:00:23.700 Fill it with your favorite liquid. I like coffee.

00:00:26.280 And join me now for the unparalleled pleasure,

00:00:31.180 the dopamine of the day, the thing that makes, well, everything better.

00:00:34.460 It's called Simultaneous Sip, and it happens now. Go.

00:00:42.060 Ah.

00:00:43.640 Who says I have the worst theme song ever?

00:00:48.200 So cruel. You're so cruel. 0.92

00:00:51.440 Well, here's my favorite story of the day.

00:00:53.740 A Saudi prince had 80 falcons that he wanted to relocate

00:01:00.500 or possibly take on vacation.

00:01:03.100 The story's a little unclear.

00:01:04.580 But he bought airplane seats for all 80 of his falcons.

00:01:09.940 Now, of course, they were tied to little stands.

00:01:14.180 So the falcons couldn't fly around inside the plane.

00:01:17.340 But here's a question I ask.

00:01:20.520 Suppose the plane lost its engines,

00:01:25.280 but the falcons, feeling that the plane was going down,

00:01:29.860 all started flapping in unison.

00:01:33.360 Could they lift the plane?

00:01:36.200 No, of course not.

00:01:38.620 Not only because they're not strong enough,

00:01:40.860 but they're inside the plane,

00:01:42.960 and so all of their actions would be confined to inside.

00:01:46.460 So it wouldn't really work.

00:01:48.000 But do you know how jokes work?

00:01:51.700 Yeah.

00:01:52.300 This isn't about the joke.

00:01:54.280 It's about the mechanism for a joke.

00:01:56.840 Here's what makes a joke funny.

00:01:59.700 Something that your brain feels makes sense,

00:02:04.760 but also knows it doesn't.

00:02:07.480 That's a joke.

00:02:08.880 A joke when there's something about this situation

00:02:11.840 that sort of kind of makes sense,

00:02:14.140 but the rest of your brain says,

00:02:15.860 no, it doesn't.

00:02:16.440 No, it doesn't.

00:02:17.720 But you can't get it out of your head.

00:02:18.960 The two of them live there at the same time,

00:02:20.500 and that causes a little reflex called a laugh.

00:02:24.480 Here's a better joke about that.

00:02:27.720 Rocky Manichetti,

00:02:30.960 who was...

00:02:32.840 That little beep you hear whenever I'm doing this,

00:02:35.560 there's literally one bird

00:02:37.020 that walks in front of my same security camera

00:02:39.800 every day when I'm here. 1.00

00:02:41.480 It's the same damn bird. 0.99

00:02:43.240 I don't know what he's doing there every day. 0.99

00:02:47.180 But Rocky Manichetti

00:02:48.880 tweeted about my story

00:02:51.660 about the 80 falcons in the plane,

00:02:53.340 and he said,

00:02:54.940 imagine being a bird that died in a plane crash.

00:03:00.040 That would be the worst way to go if you were a bird.

00:03:03.560 You know,

00:03:04.420 if I were not inside this plane,

00:03:06.320 things would be going pretty, pretty well for me.

00:03:10.340 That's what Larry David sang.

00:03:11.860 Pretty, pretty well.

00:03:14.300 So I'll just start with that.

00:03:18.900 Meanwhile,

00:03:19.660 in the law of unintended consequences,

00:03:23.240 roly-poly,

00:03:25.020 I need a sting for that too.

00:03:28.000 The law of unintended consequences.

00:03:34.380 So Megan Rapinoe,

00:03:36.320 wanted to show her concern

00:03:40.420 for people in this country

00:03:43.580 who are less fortunate

00:03:44.560 and are in worse circumstance.

00:03:46.880 And so she has become sort of

00:03:48.420 the face of the professional kneelers,

00:03:52.740 the people who are kneeling

00:03:53.880 when the anthem is played

00:03:55.340 or the flag is shown.

00:03:57.100 And the,

00:03:58.740 of course her intention,

00:04:01.760 I can't read her mind,

00:04:03.520 but it seems that her intention

00:04:04.700 was to make the world a better place.

00:04:07.660 To make it more fair.

00:04:10.980 I'm seeing a funny picture of Megan Rapinoe

00:04:13.200 conflated with Joe Biden's face.

00:04:15.320 That's pretty funny.

00:04:15.980 And she intended to make the world

00:04:20.240 a little bit kinder,

00:04:21.840 a little bit nicer.

00:04:23.660 Here's what she actually did. 0.80

00:04:26.080 NBC's primetime coverage

00:04:27.740 of the Tokyo Olympics

00:04:28.960 was down 49%.

00:04:31.980 Compared to the equivalent night in 2016.

00:04:38.540 And 53% less than the 2012 London Olympics.

00:04:46.500 And the opening ceremonies

00:04:48.080 were the lowest viewership since 1988.

00:04:50.720 Now, it's not just a story

00:04:55.760 that there were fewer advertisers.

00:04:58.680 But, at some point,

00:05:01.940 the advertising is not enough

00:05:03.600 to support the event.

00:05:05.840 And I think we're pretty close,

00:05:08.060 if not already there.

00:05:10.100 So, there's a really,

00:05:12.220 a very real chance

00:05:13.440 that Megan Rapinoe

00:05:15.300 legitimately intended

00:05:17.800 just to make the world

00:05:18.760 a kinder, nicer place

00:05:20.440 that's more welcoming

00:05:21.800 and fair for everyone.

00:05:24.960 And what she did

00:05:26.160 was destroy the Olympics.

00:05:28.840 Destroy the Olympics.

00:05:31.080 So, Megan,

00:05:32.260 we call that an own goal.

00:05:34.660 That's the official name for that.

00:05:36.120 That's an own goal.

00:05:40.880 Speaking of own goals,

00:05:43.920 of all the news today,

00:05:46.840 the thing that bothered me the most

00:05:49.000 was Lionel Messi.

00:05:51.420 Now, if you don't follow soccer,

00:05:54.080 especially international soccer,

00:05:56.080 you may not know

00:05:57.320 who Lionel Messi is.

00:05:59.800 But consider that soccer

00:06:00.940 is the most,

00:06:02.080 I guess,

00:06:02.900 the most important

00:06:03.940 sport in the whole world.

00:06:06.180 Is that true still?

00:06:07.840 And he's the best player

00:06:10.120 in the biggest sport.

00:06:11.900 Now,

00:06:13.540 I'm not really a big fan

00:06:15.400 of watching soccer on TV

00:06:16.920 because I think it's

00:06:17.660 kind of boring, too.

00:06:19.040 I love playing it.

00:06:20.080 It was my favorite sport

00:06:21.060 as a player.

00:06:22.640 But watching it,

00:06:23.540 now, here's the thing.

00:06:26.080 If you watch

00:06:27.040 even the best players

00:06:28.560 in the world,

00:06:29.200 like the best teams,

00:06:30.200 play each other,

00:06:31.480 it's still kind of boring.

00:06:33.760 But,

00:06:34.760 if Lionel Messi

00:06:35.820 is on one of those two teams,

00:06:37.420 oh, my God.

00:06:40.380 Oh, my God,

00:06:41.280 is it entertaining?

00:06:42.980 In the same way

00:06:43.820 that Michael Jordan

00:06:44.620 was entertaining,

00:06:45.660 even if he didn't watch,

00:06:47.000 you didn't even have

00:06:47.600 to be a basketball fan.

00:06:49.260 But to watch Michael Jordan

00:06:50.440 do something

00:06:50.960 that humans can't do,

00:06:53.100 that was really entertaining.

00:06:54.720 Same with Stephen Curry.

00:06:56.340 Watching him,

00:06:56.980 he had a three-pointer

00:06:57.980 from midcourt.

00:07:01.000 Like, that's fun to watch

00:07:02.400 because he's not

00:07:03.120 like the other players.

00:07:03.980 So, when you watch somebody,

00:07:06.060 you know,

00:07:06.240 you're Tiger Woods,

00:07:07.300 putting, etc.,

00:07:08.240 who are just sort of

00:07:09.060 not like other people.

00:07:10.420 You know,

00:07:10.640 you're Larry Bird.

00:07:11.740 It's a whole different thing.

00:07:13.140 So, I'm a giant fan

00:07:14.600 of Lionel Messi,

00:07:16.220 even though watching soccer

00:07:17.480 is no big deal for me.

00:07:18.800 But I like to watch his clips.

00:07:21.380 Just go to YouTube

00:07:22.140 and watch just a compilation clip

00:07:24.580 of Lionel Messi's goals.

00:07:26.740 You don't have to like soccer

00:07:28.380 to love the hell out of this.

00:07:31.580 Because you're watching

00:07:32.240 a person operate

00:07:33.240 on a level

00:07:34.380 that you just didn't even know

00:07:35.380 a person could operate at.

00:07:37.240 And, of course,

00:07:38.060 the back story,

00:07:38.880 if you don't know,

00:07:39.680 is that Lionel Messi

00:07:40.740 was always told

00:07:41.500 he was too small,

00:07:43.480 literally too short,

00:07:44.960 to play professional soccer.

00:07:47.200 And he went from

00:07:48.260 too short to play

00:07:49.580 to the best player

00:07:52.100 in the world

00:07:52.740 and the biggest sport.

00:07:54.980 Here's the tragic part.

00:07:57.180 Where he's lived

00:07:57.860 for 21 years,

00:07:59.640 I think he was playing

00:08:00.820 for Barcelona,

00:08:01.580 he has to leave

00:08:03.440 the team

00:08:04.040 because they have

00:08:05.920 financial problems

00:08:06.940 and they can't afford it.

00:08:09.620 He has to take

00:08:10.460 his family,

00:08:12.000 which has lived

00:08:12.740 in this one place

00:08:13.900 for 21 years,

00:08:15.840 basically entire

00:08:17.140 adult life,

00:08:18.280 I think,

00:08:19.060 his kids raised there

00:08:20.280 and everything else,

00:08:21.660 and he has to leave

00:08:22.920 because they have debt

00:08:24.680 and they can't afford

00:08:25.920 to pay them.

00:08:26.340 He offered to play

00:08:28.020 for half his pay

00:08:29.360 so he didn't have

00:08:30.580 to move his family.

00:08:32.540 Do you know

00:08:32.860 how much that gives up?

00:08:35.280 It was like a difference

00:08:36.340 between $1.5 million

00:08:37.940 per game

00:08:39.180 and $700,000.

00:08:41.260 I mean, 0.79

00:08:41.540 still a ridiculous

00:08:42.260 amount of money,

00:08:43.300 but he offered

00:08:43.860 to play for half.

00:08:45.780 They couldn't afford him.

00:08:47.240 He's got to leave.

00:08:48.640 I've got to tell you

00:08:49.500 that of all the stories

00:08:50.420 I read today,

00:08:51.200 you know,

00:08:51.460 the news is full of

00:08:52.640 tragedies and death

00:08:53.880 and stuff.

00:08:54.740 I don't know why,

00:08:55.460 but that bothered me

00:08:56.160 the most.

00:09:01.860 Here's a story

00:09:02.700 that I made a little

00:09:05.400 note to myself

00:09:06.240 that this almost

00:09:07.340 made me cry,

00:09:09.140 but that's not true.

00:09:10.640 It actually made me cry.

00:09:12.920 I saw a couple of people

00:09:14.280 on Twitter today

00:09:15.180 giving me some,

00:09:17.120 at least partial credit,

00:09:18.840 in one case,

00:09:19.680 for helping somebody

00:09:20.660 quit drinking.

00:09:21.460 Ed Latimer

00:09:23.840 was mentioned

00:09:24.820 and is famously

00:09:26.200 a non-drinker

00:09:27.820 as am I.

00:09:30.140 And

00:09:30.460 I have to tell you,

00:09:33.140 you know,

00:09:33.300 most of you

00:09:33.640 know my story.

00:09:34.540 I've told it too many times.

00:09:35.540 My stepson died

00:09:36.600 of an overdose

00:09:37.160 in 2018.

00:09:39.640 Fentanyl

00:09:40.200 was in the system.

00:09:42.680 And,

00:09:43.200 you know,

00:09:44.460 that sort of

00:09:45.120 radicalizes you.

00:09:46.380 It has that effect.

00:09:48.900 And when I see

00:09:49.820 that somebody quit

00:09:50.840 an addiction

00:09:51.900 because of anything

00:09:53.980 I did or said,

00:09:55.160 you know,

00:09:55.340 even if I was just

00:09:56.060 a little bit of that,

00:09:58.020 you know,

00:09:58.340 because people make

00:09:59.120 their own choices.

00:09:59.800 I don't think other people

00:10:00.860 cause you to do things.

00:10:02.780 I think you make

00:10:03.260 your own choices.

00:10:04.620 But if I could help

00:10:05.720 even a little bit,

00:10:08.140 that's really meaningful

00:10:09.020 to me.

00:10:10.160 It's really meaningful.

00:10:11.680 Because it gives meaning

00:10:12.840 to my stepson's life.

00:10:14.540 if there's something

00:10:16.780 that, you know,

00:10:17.700 his tragic ending

00:10:18.820 caused,

00:10:21.580 and it caused

00:10:22.100 other people

00:10:22.680 to have

00:10:23.180 maybe more success

00:10:25.460 in quitting

00:10:25.920 their addictions.

00:10:26.720 And then somebody else

00:10:27.500 was saying that

00:10:28.240 he had drank,

00:10:30.820 I won't give their names

00:10:31.680 because of privacy reasons,

00:10:32.960 even though they tweeted it.

00:10:34.080 It's not my business

00:10:35.240 to tell you their names.

00:10:37.400 And another one said

00:10:38.380 that as of today,

00:10:39.580 he was going to stop

00:10:40.540 drinking 10 beers a day,

00:10:42.940 which he'd been drinking

00:10:43.880 forever.

00:10:46.260 And today's the day

00:10:47.300 that he's going to stop

00:10:48.000 drinking 10 beers a day.

00:10:49.660 Now, that's pretty tough.

00:10:51.980 Pretty tough.

00:10:52.940 But I tweeted him

00:10:53.800 so that you can

00:10:55.080 cheer him on.

00:10:57.240 Lauren Boebert.

00:10:58.840 You all know Lauren.

00:10:59.860 She's a gun-toting 0.99

00:11:00.920 new member of Congress.

00:11:02.920 Republican.

00:11:04.280 And quite interesting.

00:11:05.880 Quite interesting person.

00:11:06.960 I did tweet it,

00:11:08.560 so you'll see it.

00:11:09.140 She tweeted,

00:11:14.500 the same people

00:11:15.100 that thought Lollapalooza 0.81

00:11:16.220 was just fine,

00:11:18.000 meaning in terms

00:11:18.840 of the COVID,

00:11:20.140 are now saying

00:11:21.000 that Sturgis

00:11:21.720 will be a super-spreader

00:11:23.260 disaster.

00:11:25.040 Do you think that's true?

00:11:26.520 Do you think

00:11:26.900 the same people

00:11:27.620 that thought Lollapalooza 0.81

00:11:28.820 was just fine

00:11:29.780 are now saying

00:11:31.040 that Sturgis

00:11:31.740 will be a super-spreader

00:11:32.900 disaster?

00:11:35.460 Those people

00:11:36.220 don't exist.

00:11:36.960 Find me somebody

00:11:39.380 who said one of them

00:11:40.280 was a problem

00:11:40.880 and one wasn't.

00:11:42.420 Find me that one person

00:11:43.780 in the world

00:11:44.300 who says

00:11:45.100 that one group

00:11:46.640 is a problem

00:11:47.200 and one is not.

00:11:48.360 That person doesn't exist.

00:11:50.580 So much of our politics

00:11:52.060 is about this imaginary person.

00:11:54.480 The imaginary person 0.99

00:11:55.680 who's a hypocrite 0.98

00:11:56.600 doesn't exist. 1.00

00:11:59.100 It's a whole

00:11:59.960 political opinion

00:12:01.460 about imaginary people.

00:12:02.920 Why are we spending

00:12:05.980 our time

00:12:06.400 on imaginary people?

00:12:07.840 Could it be

00:12:08.440 because we don't have

00:12:09.240 that many real problems?

00:12:10.800 Are we so far

00:12:11.540 out of real problems

00:12:12.540 that you literally

00:12:13.520 have to make up

00:12:14.200 an imaginary person,

00:12:16.100 describe them?

00:12:17.880 You're saying

00:12:18.620 Obama.

00:12:21.200 Yes, yes,

00:12:22.020 I hear what you're saying

00:12:22.700 about Obama 0.99

00:12:23.320 and his birthday hypocrisy. 0.88

00:12:25.420 I usually don't do 0.80

00:12:26.340 the hypocrisy topics.

00:12:28.760 Have you ever noticed that?

00:12:29.700 Have you noticed that

00:12:32.120 even if the news

00:12:33.120 is just buzzing

00:12:33.860 with the hypocrisy topics,

00:12:35.720 I usually don't talk

00:12:36.760 about them

00:12:37.120 because there's nothing

00:12:37.700 to say.

00:12:39.060 Yeah, you used to say this,

00:12:40.500 now you say this, 1.00

00:12:41.820 now you're a liar. 0.99

00:12:42.920 What else is there? 0.99

00:12:44.380 Is there any depth

00:12:45.220 to that?

00:12:45.980 Would you learn anything?

00:12:47.340 Nope.

00:12:49.880 So Jim Acosta

00:12:51.000 went on what they call

00:12:52.200 an epic rant.

00:12:54.640 It's not a regular rant.

00:12:56.200 It's epic.

00:12:57.080 It's an epic rant.

00:12:57.880 So Jim Acosta

00:12:59.680 on CNN,

00:13:00.600 he went on his epic rant

00:13:01.980 and mocked DeSantis

00:13:04.580 for DeSantis'

00:13:06.680 stand on the coronavirus

00:13:08.900 and said that

00:13:10.500 maybe we should call

00:13:11.920 the next variant

00:13:12.880 the DeSantis variant.

00:13:16.000 Mrah, mrah, mrah. 0.87

00:13:18.460 Wow.

00:13:19.560 Zing. 0.88

00:13:20.740 Zing. 0.88

00:13:22.740 You know,

00:13:23.760 who taught

00:13:24.680 Jim Acosta

00:13:25.800 this technique?

00:13:28.560 Who taught

00:13:29.280 Jim Acosta

00:13:30.240 to cleverly

00:13:32.500 brand people

00:13:34.000 to make their

00:13:34.840 political careers

00:13:36.160 less successful?

00:13:39.040 Who was it?

00:13:40.880 I'm getting an image,

00:13:42.380 somebody orange,

00:13:44.160 somebody that

00:13:44.760 Jim Acosta

00:13:45.460 doesn't like

00:13:46.420 that much.

00:13:48.040 That's right.

00:13:49.600 Jim Acosta

00:13:50.400 just became Trump.

00:13:53.280 You knew

00:13:53.620 it was going to happen.

00:13:54.320 Let me ask you this.

00:13:57.360 In the time

00:13:57.880 that you've known

00:13:58.500 both President Trump

00:13:59.740 and Jim Acosta,

00:14:01.080 has Trump

00:14:02.200 in any way

00:14:03.640 become more

00:14:05.160 like Jim Acosta?

00:14:06.960 I'll wait.

00:14:07.700 I'll wait for your answer.

00:14:09.840 No?

00:14:10.520 No?

00:14:11.800 But

00:14:12.280 in the time

00:14:13.660 that you've been

00:14:14.300 watching them,

00:14:15.340 has Jim Acosta

00:14:16.440 become more

00:14:17.980 like Trump?

00:14:20.120 Yes,

00:14:20.800 he has.

00:14:21.260 Talk about

00:14:24.320 the ultimate

00:14:25.080 revenge

00:14:25.880 is making

00:14:27.040 your worst

00:14:27.760 enemy

00:14:28.220 turn into you.

00:14:31.060 That's

00:14:31.740 a complete

00:14:32.840 defeat.

00:14:34.260 That's sort of

00:14:35.240 that's like

00:14:37.000 killing somebody 1.00

00:14:37.780 and skinning them 1.00

00:14:38.920 and wearing

00:14:39.420 their skin

00:14:39.940 as clothing.

00:14:42.320 That's as hard

00:14:43.160 as you can

00:14:43.500 beat somebody.

00:14:44.900 Turning them 0.99

00:14:45.420 into you.

00:14:47.100 You can't win

00:14:47.780 any harder

00:14:48.160 than that.

00:14:49.820 But

00:14:50.300 there's more

00:14:51.260 to this story.

00:14:53.460 Why not

00:14:54.180 call it

00:14:54.580 the DeSantis

00:14:55.240 variant?

00:14:56.740 That's not

00:14:57.200 very good,

00:14:57.880 is it?

00:14:59.740 So you know

00:15:00.560 when

00:15:01.060 Trump does

00:15:03.100 his linguistic 0.57

00:15:03.740 kill shots,

00:15:05.000 like you repeat 1.00

00:15:05.800 them and they're

00:15:06.740 kind of funny

00:15:07.460 on the surface

00:15:08.160 and they

00:15:08.700 sort of like

00:15:09.660 they hit you

00:15:10.960 where it hurts,

00:15:11.780 you know,

00:15:11.960 like a

00:15:12.480 low energy jab. 0.60

00:15:15.080 I mean,

00:15:15.340 that was just

00:15:15.920 that was just

00:15:17.520 like Edward

00:15:18.140 Scissorhands

00:15:18.860 giving you

00:15:19.340 a haircut

00:15:19.720 kind of

00:15:20.160 situation.

00:15:21.560 And then

00:15:21.900 Jim's best

00:15:23.260 play here is

00:15:24.020 about

00:15:24.920 the DeSantis

00:15:26.180 variant.

00:15:28.400 That's my

00:15:29.280 Dr. Evil.

00:15:32.480 How about

00:15:33.360 that?

00:15:34.160 Ha ha ha ha

00:15:35.520 the DeSantis

00:15:36.460 variant.

00:15:38.060 Here's a

00:15:38.880 little

00:15:39.180 linguistic

00:15:40.560 trick for you.

00:15:42.980 Things have

00:15:43.640 to sound

00:15:44.480 right.

00:15:45.340 So this

00:15:47.380 is one of

00:15:47.780 the things

00:15:48.000 that Trump

00:15:48.420 gets right

00:15:49.000 that you

00:15:49.440 don't know

00:15:49.900 he's getting

00:15:50.300 right because

00:15:51.060 you don't

00:15:51.340 even know

00:15:51.700 it's a

00:15:51.920 thing.

00:15:52.880 One of

00:15:53.280 the things

00:15:53.580 that Trump

00:15:54.020 gets right

00:15:54.680 is he

00:15:55.720 uses words

00:15:56.800 that sound

00:15:58.320 good

00:15:58.760 together.

00:16:00.480 Now you'll

00:16:00.860 never notice

00:16:01.440 it because

00:16:02.420 he doesn't

00:16:02.900 do it

00:16:03.160 wrong.

00:16:04.140 If he

00:16:04.580 ever did

00:16:04.900 it wrong

00:16:05.360 you'd

00:16:05.660 notice it.

00:16:06.960 But because

00:16:07.460 he never

00:16:07.900 makes that

00:16:08.360 mistake he

00:16:08.960 uses words

00:16:09.560 that sound

00:16:10.000 good when

00:16:11.440 you put

00:16:11.700 them

00:16:11.800 together.

00:16:13.580 You just

00:16:14.240 don't notice

00:16:14.660 how well he

00:16:15.060 does it.

00:16:16.020 But here's

00:16:16.400 Acosta not

00:16:17.140 doing it

00:16:17.560 well.

00:16:18.680 The

00:16:18.880 DeSantis

00:16:19.500 variant.

00:16:21.680 Oh that's

00:16:23.020 going to be

00:16:23.600 viral.

00:16:24.520 It actually

00:16:24.860 was viral but

00:16:25.700 only because

00:16:26.280 Jim Acosta

00:16:26.920 said it.

00:16:27.740 But there's

00:16:28.220 nothing clever

00:16:29.320 about that.

00:16:30.940 The words

00:16:31.680 DeSantis

00:16:33.160 and variant

00:16:34.600 it doesn't

00:16:37.300 they don't

00:16:37.620 really fit

00:16:38.140 together do

00:16:38.700 they?

00:16:39.560 It's just

00:16:40.060 one of these

00:16:40.440 little things

00:16:40.980 that Trump

00:16:41.400 does perfectly

00:16:42.740 all the

00:16:43.200 time and

00:16:44.460 then you

00:16:44.740 don't even

00:16:45.060 notice it's

00:16:45.560 a thing.

00:16:46.040 You don't

00:16:46.220 know it's

00:16:46.540 a skill

00:16:46.940 because he

00:16:47.640 never does

00:16:48.020 it wrong.

00:16:49.940 But this

00:16:50.360 is obviously

00:16:50.960 a skill

00:16:51.400 because you

00:16:52.020 can't imagine

00:16:53.140 in any

00:16:53.980 world that

00:16:55.340 Trump

00:16:55.660 himself

00:16:56.180 let's say

00:16:57.400 he was on

00:16:57.780 the other

00:16:58.060 side from

00:16:58.460 DeSantis

00:16:58.860 you can't

00:16:59.780 imagine that

00:17:00.240 he would

00:17:00.480 come up

00:17:00.840 with this

00:17:01.140 let's go

00:17:01.660 the DeSantis

00:17:02.400 variant.

00:17:03.620 It's just

00:17:03.900 too lame

00:17:04.480 because the

00:17:05.640 words sound a

00:17:06.300 little too

00:17:06.840 technical or

00:17:08.060 something.

00:17:08.280 They just

00:17:08.660 don't have

00:17:09.020 that populist

00:17:10.760 punch.

00:17:12.100 But CNN's

00:17:12.740 playbook looks

00:17:13.620 like this.

00:17:14.760 Here's a

00:17:15.260 thing they

00:17:15.620 like to do.

00:17:16.720 They like to

00:17:17.320 identify a

00:17:18.060 top GOP

00:17:19.040 contender for

00:17:19.760 the president

00:17:20.180 so they find

00:17:21.360 out who's the

00:17:21.820 most dangerous

00:17:22.460 Republican.

00:17:23.800 At the

00:17:24.140 moment that's

00:17:25.560 either Trump

00:17:26.160 or DeSantis.

00:17:27.120 Would you

00:17:27.380 all agree?

00:17:28.540 Ted Cruz

00:17:29.360 has been

00:17:29.800 sort of in

00:17:31.000 that conversation

00:17:31.720 and they

00:17:32.440 attack him

00:17:32.960 but at the

00:17:33.380 moment DeSantis

00:17:34.900 is I'd say

00:17:36.100 the top

00:17:36.500 contender who's

00:17:37.260 not Trump

00:17:38.260 so they

00:17:39.460 identify a

00:17:40.360 top contender

00:17:40.940 and then they

00:17:41.380 attack the

00:17:41.880 contender as

00:17:42.700 either being

00:17:43.300 anti-science or

00:17:44.260 racist.

00:17:45.260 They have

00:17:45.720 two arguments

00:17:46.860 and they'll

00:17:48.340 make those

00:17:48.760 arguments no

00:17:49.400 matter what

00:17:49.800 the facts.

00:17:50.900 It doesn't

00:17:51.240 matter how

00:17:51.600 many facts

00:17:52.180 you have.

00:17:53.380 They're just

00:17:53.820 going to call

00:17:54.180 you a racist 0.98

00:17:54.880 and anti-science 0.96

00:17:56.400 no matter

00:17:57.220 what.

00:17:58.760 And then

00:17:59.200 the third

00:18:00.100 part is to

00:18:00.980 produce an

00:18:01.500 epic takedown.

00:18:02.840 Get one of

00:18:03.340 your hosts

00:18:04.040 to do something

00:18:05.200 that's quote

00:18:05.700 worthy in this

00:18:06.280 case Acosta.

00:18:07.060 So CNN

00:18:08.500 becomes the

00:18:09.160 news instead

00:18:09.740 of the

00:18:10.020 reporter of

00:18:10.580 the news.

00:18:12.520 That's right.

00:18:13.480 CNN makes

00:18:14.340 themselves the

00:18:15.340 news and

00:18:16.640 then they

00:18:16.940 report on

00:18:17.440 it.

00:18:18.440 So basically

00:18:19.100 they're

00:18:19.380 manufacturing

00:18:19.980 news.

00:18:20.600 So it's

00:18:20.800 not really

00:18:21.140 fake news.

00:18:22.380 It's more

00:18:22.940 like manufactured

00:18:24.700 news.

00:18:25.200 but here's

00:18:28.420 roly-poly

00:18:29.960 user roly-poly

00:18:31.020 sent me

00:18:33.340 some audio

00:18:34.840 files.

00:18:36.900 Let's see if

00:18:37.500 I can play

00:18:37.960 one of them

00:18:38.420 now.

00:18:38.880 I was trying

00:18:39.180 to get

00:18:39.460 like an

00:18:40.460 introduction to

00:18:41.160 my sections

00:18:41.720 on fake

00:18:42.220 news.

00:18:42.600 So here's

00:18:42.900 one.

00:18:43.140 If I can

00:18:44.900 play it.

00:18:51.620 Fake news

00:18:52.480 tweet of

00:18:52.920 the day.

00:18:55.200 All right.

00:18:57.260 Let's try

00:18:58.040 another one

00:18:58.480 here.

00:19:01.920 Fake news

00:19:02.540 tweet of

00:19:02.900 the day.

00:19:03.160 I don't

00:19:03.520 think it

00:19:03.760 was quite

00:19:04.140 there.

00:19:04.780 Needs a

00:19:05.100 little work.

00:19:05.960 Needs a

00:19:06.380 little work.

00:19:06.800 All right.

00:19:06.980 How about

00:19:07.200 this one?

00:19:07.800 This is for

00:19:11.040 the DeSantis

00:19:11.640 news.

00:19:15.420 From DeSantis

00:19:16.680 news.

00:19:19.280 Pretty good.

00:19:20.500 Pretty good.

00:19:20.980 Good start.

00:19:22.540 Thank you

00:19:22.920 roly-poly.

00:19:25.500 User.

00:19:26.860 He's tweeting

00:19:27.580 at me right

00:19:28.060 now.

00:19:31.500 Isn't it

00:19:32.120 freaky seeing

00:19:32.860 yourself mentioned

00:19:34.080 on the live

00:19:35.940 stream?

00:19:36.600 When you're

00:19:37.220 watching it and

00:19:37.780 then your name

00:19:38.600 comes out?

00:19:39.880 So I've had

00:19:40.460 this happen to

00:19:41.160 me a number

00:19:41.560 of times.

00:19:42.620 I'll turn on

00:19:43.320 the television.

00:19:44.440 I'll just be

00:19:44.880 watching television

00:19:45.680 and then they

00:19:46.140 start talking

00:19:46.640 about me.

00:19:47.620 It's so freaky.

00:19:48.380 It's like,

00:19:49.300 no, I'm

00:19:50.060 watching you.

00:19:50.880 Don't talk

00:19:51.300 about me,

00:19:51.820 television.

00:19:53.000 So that just

00:19:53.580 happened to

00:19:54.060 roly-poly.

00:19:57.460 So how many

00:19:58.760 of you have

00:19:59.380 heard the

00:19:59.720 theory that

00:20:01.180 the therapeutics

00:20:02.660 are being

00:20:03.260 under, let's

00:20:05.120 say,

00:20:05.400 underappreciated

00:20:06.520 officially because

00:20:08.200 if therapeutics

00:20:09.380 existed for

00:20:10.440 the COVID

00:20:10.980 legally, we

00:20:13.620 wouldn't be

00:20:14.020 able to do

00:20:14.440 an emergency

00:20:14.960 use for some

00:20:16.240 other drug if

00:20:17.680 we already

00:20:18.200 had a drug

00:20:18.860 that was

00:20:19.320 really helpful?

00:20:21.740 How many

00:20:22.120 of you heard

00:20:22.660 that and

00:20:23.560 believe that

00:20:24.160 that's true?

00:20:26.480 How many

00:20:27.100 of you are

00:20:27.660 of the belief

00:20:28.300 that the

00:20:28.740 reason we

00:20:29.340 don't talk

00:20:29.880 about ivermectin

00:20:31.080 or hydroxychloroquine

00:20:33.040 or now there's

00:20:33.680 a new one,

00:20:34.660 a cholesterol

00:20:35.220 drug cuts

00:20:36.240 coronavirus infection

00:20:37.380 in a laboratory

00:20:38.160 by 70%?

00:20:40.340 And I guess

00:20:40.980 it's an existing

00:20:41.820 fairly safe

00:20:42.860 drug that's

00:20:43.660 off the shelf.

00:20:44.800 So it'd be

00:20:45.300 a big deal

00:20:45.820 if it worked

00:20:46.740 just like it

00:20:47.620 would be a

00:20:47.960 big deal

00:20:48.280 if any

00:20:48.620 of the

00:20:48.800 others

00:20:49.000 worked.

00:20:50.300 Right.

00:20:51.240 So, yeah,

00:20:51.960 Regeneron.

00:20:53.360 Isn't it

00:20:53.980 Regeneron

00:20:54.520 approved?

00:20:55.800 I thought it

00:20:56.480 was.

00:20:57.260 I mean, as

00:20:58.140 opposed to

00:20:58.540 an emergency

00:20:59.020 approval.

00:21:00.360 So I'm

00:21:01.640 going to

00:21:01.820 call fake

00:21:02.320 news on

00:21:02.760 that.

00:21:03.880 I'm going

00:21:04.460 to call

00:21:04.860 that a

00:21:05.720 conspiracy

00:21:06.420 theory that

00:21:07.380 is not

00:21:08.080 backed up.

00:21:10.100 Now, I

00:21:10.320 don't know,

00:21:11.220 and I'm

00:21:11.520 going to put

00:21:11.860 odds on

00:21:12.420 this, right?

00:21:13.200 So this

00:21:13.640 doesn't mean

00:21:14.180 I'm 100%

00:21:15.300 sure.

00:21:16.420 Sometimes I

00:21:17.100 act like I'm

00:21:17.760 completely sure

00:21:18.480 when I'm

00:21:18.840 not, so I'm

00:21:20.420 trying to

00:21:20.840 moderate that

00:21:21.360 a little bit

00:21:21.840 so that I

00:21:22.620 don't do

00:21:22.900 that so

00:21:23.240 much.

00:21:26.160 Here's my

00:21:26.880 take on

00:21:27.400 it.

00:21:28.220 Let's say

00:21:28.760 there was a

00:21:29.420 law or a

00:21:30.720 rule that

00:21:31.940 said you

00:21:32.440 can't get

00:21:32.920 your emergency

00:21:33.720 authorization for

00:21:36.180 the vaccines

00:21:36.920 if therapeutics

00:21:38.400 exist.

00:21:39.360 Now, let's

00:21:39.760 say in this

00:21:40.380 scenario that

00:21:42.100 therapeutics did

00:21:42.960 exist, let's

00:21:44.600 say they

00:21:44.900 did, does

00:21:46.720 that mean

00:21:47.160 that in the

00:21:47.660 context of

00:21:48.660 a global

00:21:50.140 pandemic there's

00:21:51.800 nothing you

00:21:52.280 could do

00:21:52.720 because the

00:21:54.180 rule says

00:21:54.940 you can't

00:21:55.800 authorize

00:21:56.360 something for

00:21:57.520 emergency use,

00:21:58.680 so you're

00:21:59.540 done, right?

00:22:00.180 You just

00:22:00.560 can't do it.

00:22:02.060 Is that

00:22:02.340 right?

00:22:02.740 So you

00:22:03.020 just can't

00:22:03.420 do vaccines?

00:22:05.520 No, nothing

00:22:07.000 works that

00:22:07.560 way.

00:22:08.780 Nothing

00:22:09.100 works that

00:22:09.640 way.

00:22:10.460 Now, there

00:22:10.880 might be,

00:22:11.700 there's a

00:22:12.240 variant of

00:22:12.800 this in

00:22:13.380 which the

00:22:14.240 pharmaceutical

00:22:15.160 companies are

00:22:16.300 bribing the

00:22:17.180 government.

00:22:18.640 But, do

00:22:20.420 you think

00:22:20.840 that in the

00:22:21.520 Trump

00:22:21.780 administration,

00:22:23.340 do you

00:22:23.640 think Trump

00:22:24.180 took a

00:22:24.600 bribe from

00:22:26.200 the pharma

00:22:26.680 companies?

00:22:29.840 Nobody's

00:22:30.320 even suggested

00:22:30.980 it, right?

00:22:31.760 And it

00:22:32.140 would have

00:22:32.420 to be

00:22:32.700 Trump,

00:22:33.660 because he

00:22:34.040 was the

00:22:34.400 one beating

00:22:34.800 up on the

00:22:35.300 FDA to

00:22:35.840 get the

00:22:36.240 vaccinations

00:22:36.880 through,

00:22:37.420 et cetera.

00:22:38.280 Let me

00:22:38.700 tell you

00:22:38.980 this.

00:22:39.320 Let's say

00:22:39.760 there was a

00:22:40.440 rule or a

00:22:41.840 law or

00:22:42.420 whatever it

00:22:42.840 is.

00:22:43.100 I don't

00:22:43.280 know what

00:22:43.560 the situation

00:22:44.500 is.

00:22:45.020 It's either

00:22:45.300 a rule or

00:22:45.920 a law that

00:22:47.260 you can't

00:22:47.600 do the

00:22:47.840 emergency use

00:22:48.540 thing as

00:22:49.020 long as

00:22:49.340 therapeutics

00:22:49.880 exist.

00:22:50.680 If you

00:22:51.040 went to

00:22:51.380 Trump or

00:22:52.000 any president,

00:22:54.220 it could be

00:22:54.620 Biden too,

00:22:55.540 you go to the

00:22:56.140 president, whoever

00:22:56.780 it is, during a

00:22:57.620 pandemic and you

00:22:58.360 say we've got

00:22:58.840 this rule that

00:23:00.360 prevents us from

00:23:01.140 doing this thing

00:23:01.820 that would be

00:23:02.220 really, really

00:23:02.880 important to

00:23:03.520 do.

00:23:04.700 How long

00:23:05.360 does the

00:23:05.800 rule stop

00:23:07.280 you?

00:23:07.480 It's over.

00:23:10.100 In a

00:23:10.440 pandemic, that

00:23:11.960 kind of rule

00:23:12.480 doesn't mean

00:23:12.900 anything.

00:23:14.080 How many

00:23:14.820 rules did 0.99

00:23:15.780 Trump change

00:23:16.500 just by

00:23:16.900 signing an

00:23:17.360 executive

00:23:17.720 order?

00:23:18.740 Did anybody

00:23:19.260 question them?

00:23:20.800 No, it's a

00:23:21.440 pandemic.

00:23:22.340 I mean, it's a

00:23:23.060 different situation

00:23:23.740 at the moment,

00:23:24.340 right?

00:23:24.720 But during the

00:23:25.560 worst of the

00:23:26.360 pandemic, we

00:23:28.400 kind of stand

00:23:29.080 aside and say,

00:23:30.000 okay, leaders,

00:23:31.120 we understand this

00:23:32.300 is not the time

00:23:32.920 to debate.

00:23:34.380 This is the

00:23:34.860 time to do

00:23:35.380 something.

00:23:35.700 And we

00:23:36.900 know you're

00:23:37.260 not going to

00:23:37.580 be right every

00:23:38.280 time.

00:23:39.320 Like, that

00:23:39.800 would be

00:23:40.020 unreasonable.

00:23:40.640 But do

00:23:41.160 something, because

00:23:42.000 it's an

00:23:42.300 emergency.

00:23:42.780 You've got to

00:23:43.100 do something.

00:23:44.340 Under those

00:23:45.000 rules, there's 0.52

00:23:46.400 no way that a

00:23:47.160 law or some

00:23:48.860 guideline or

00:23:49.540 rule would 0.87

00:23:50.020 have stopped

00:23:50.400 us from doing

00:23:50.980 what made

00:23:51.400 sense.

00:23:52.540 So, I'm

00:23:53.820 going to call 0.99

00:23:54.200 bullshit on 1.00

00:23:56.040 the idea that 1.00

00:23:57.360 the reason

00:23:57.980 therapeutics are

00:23:58.940 being undervalued

00:24:01.260 by the

00:24:01.680 government is

00:24:03.260 because they

00:24:04.140 just had to

00:24:04.600 get this rule

00:24:05.280 for the

00:24:05.680 vaccinations and

00:24:06.960 maybe the

00:24:07.360 big pharma was

00:24:08.420 pushing them

00:24:08.940 or bribing

00:24:09.440 somebody.

00:24:10.400 I'm not

00:24:10.720 buying it.

00:24:11.740 I'm not

00:24:12.040 buying it.

00:24:13.120 Because I

00:24:14.140 don't think

00:24:14.700 Trump could

00:24:15.460 have been

00:24:15.720 bribed by

00:24:17.300 pharma.

00:24:19.240 Does anybody

00:24:19.800 disagree with

00:24:20.340 that?

00:24:20.940 Does anybody

00:24:21.480 think that

00:24:22.060 Trump,

00:24:22.840 specifically

00:24:23.380 Trump, because

00:24:24.940 he was the

00:24:25.360 one there during

00:24:26.260 the time this

00:24:27.040 was all

00:24:27.320 happening, do

00:24:28.020 you think he

00:24:28.380 could have

00:24:28.600 been bribed

00:24:29.280 by pharma?

00:24:30.260 I just

00:24:32.260 don't see

00:24:33.160 it.

00:24:34.760 I just

00:24:35.200 don't see

00:24:35.560 it.

00:24:36.600 And was

00:24:38.480 there ever

00:24:38.920 a rule that

00:24:39.720 Trump didn't

00:24:40.220 like breaking?

00:24:41.760 I mean, most

00:24:42.540 of his act

00:24:43.260 was tell me

00:24:44.580 the rule

00:24:45.820 that's in the

00:24:46.320 way and

00:24:46.800 then I'll

00:24:46.980 break it.

00:24:48.140 Remember, you

00:24:48.900 couldn't do

00:24:49.540 telehealth,

00:24:51.800 having a doctor

00:24:52.540 call you across

00:24:53.260 state lines,

00:24:54.220 and I was a

00:24:54.720 little involved

00:24:55.180 with that.

00:24:55.580 What did

00:24:57.380 Trump do?

00:24:57.960 He said, oh,

00:24:58.480 here's a law

00:24:59.100 that's in the

00:24:59.580 way.

00:25:01.100 It's goodbye.

00:25:02.100 It's gone.

00:25:03.620 I don't

00:25:04.240 believe for a

00:25:04.780 second that

00:25:05.560 Trump was

00:25:06.240 affected by

00:25:07.120 big pharma

00:25:07.800 wanting not

00:25:09.600 to have

00:25:09.960 therapeutics look

00:25:10.980 good.

00:25:11.420 I just don't

00:25:12.100 think for a

00:25:12.560 minute that

00:25:12.940 affected him.

00:25:14.020 If it had

00:25:14.600 been a

00:25:14.860 different

00:25:15.080 president,

00:25:15.740 maybe,

00:25:17.100 maybe, but

00:25:17.880 I just don't

00:25:18.300 see it

00:25:18.520 affecting

00:25:18.820 Trump.

00:25:19.740 He's the

00:25:20.100 guy who

00:25:20.660 just blows

00:25:21.480 through rules.

00:25:23.100 He doesn't

00:25:23.460 care.

00:25:23.720 Yeah, I

00:25:25.560 mean, Trump 0.97

00:25:26.280 screwed the 0.93

00:25:27.120 pharma companies

00:25:27.900 during his

00:25:28.620 presidency in

00:25:29.960 a variety of

00:25:30.760 ways, and he

00:25:31.280 did it right

00:25:31.640 in their face.

00:25:32.860 So I don't

00:25:33.600 think he was

00:25:34.120 going to do

00:25:34.440 it because

00:25:34.760 they wanted

00:25:35.260 it, that's

00:25:35.700 for sure.

00:25:38.980 Here's one

00:25:39.540 of those rules

00:25:40.180 that I'll say

00:25:40.720 a million times

00:25:41.600 because it's

00:25:42.160 so important.

00:25:44.100 You only

00:25:44.760 manage the

00:25:45.740 things you

00:25:46.220 track.

00:25:47.740 This is one

00:25:48.440 of the biggest

00:25:48.940 deals in all

00:25:49.780 of management.

00:25:50.560 In fact,

00:25:51.040 there's no

00:25:51.480 such thing as 0.74

00:25:52.060 management if

00:25:52.860 you're not

00:25:53.160 tracking.

00:25:54.180 Because

00:25:54.420 otherwise you're

00:25:54.920 just flailing

00:25:55.560 around.

00:25:56.400 You don't

00:25:56.720 know if the

00:25:57.140 things you

00:25:57.520 do are

00:25:57.940 working or

00:25:58.620 not working.

00:25:59.640 It's not

00:26:00.240 management unless

00:26:02.100 you can track,

00:26:02.860 oh, we did

00:26:03.260 this and it

00:26:03.820 got this

00:26:04.180 result.

00:26:05.120 So we

00:26:05.640 should do

00:26:05.920 more of

00:26:06.320 it or less

00:26:06.780 of it based

00:26:07.160 on the

00:26:07.460 result.

00:26:08.600 So at

00:26:11.020 this point,

00:26:11.700 the way we

00:26:12.900 track the

00:26:13.480 COVID stuff

00:26:14.240 will determine

00:26:15.440 what we do

00:26:16.560 about it.

00:26:17.740 Let me say

00:26:18.380 that again.

00:26:19.640 You don't

00:26:20.260 decide what to

00:26:20.940 do about it

00:26:21.500 and then figure

00:26:22.080 out how to

00:26:22.520 track it.

00:26:23.720 Ideally, I

00:26:24.900 suppose you

00:26:25.240 do it that

00:26:25.580 way.

00:26:25.920 You end up

00:26:26.560 tracking whatever

00:26:27.220 you can track

00:26:28.160 and then

00:26:29.100 whatever it

00:26:29.600 was that you

00:26:30.020 could track

00:26:30.660 works backwards

00:26:31.900 and then that's

00:26:32.660 what you

00:26:32.880 manage to,

00:26:34.000 which is a

00:26:34.680 bad way to

00:26:35.300 do business.

00:26:36.500 You don't

00:26:36.920 want to manage

00:26:37.620 to what you

00:26:38.520 can measure

00:26:39.220 because it's

00:26:40.040 the only thing

00:26:40.460 you can

00:26:40.680 measure.

00:26:42.000 Now, in our

00:26:42.640 case, we're

00:26:43.280 reporting, I

00:26:44.160 saw this again,

00:26:45.020 California had

00:26:45.780 13 deaths

00:26:47.040 yesterday from

00:26:47.820 COVID,

00:26:48.180 allegedly.

00:26:50.800 They did

00:26:51.440 not report

00:26:52.040 in the same

00:26:52.560 time how

00:26:53.060 many of

00:26:53.420 the 13

00:26:54.000 were vaccinated. 1.00

00:26:55.540 Shit. 1.00

00:26:57.740 I just 1.00

00:26:58.380 had a

00:26:58.860 technical

00:26:59.740 glitch on

00:27:01.300 the locals

00:27:01.700 platform, but

00:27:02.680 it's going to

00:27:03.160 come back in a

00:27:03.760 second.

00:27:04.360 So, sorry

00:27:04.860 YouTube, just

00:27:05.860 a moment and

00:27:06.660 I'll get back

00:27:07.720 to this story.

00:27:09.640 I believe I

00:27:10.920 can go right

00:27:11.400 back to it.

00:27:12.020 Thank you.

00:27:12.080 Thank you.

00:27:12.120 Thank you.

00:27:12.140 Thank you.

00:27:12.200 Thank you.

00:27:12.240 Thank you.

00:27:12.260 Thank you.

00:27:12.300 Thank you.

00:27:12.340 Thank you.

00:27:12.360 Thank you.

00:27:12.380 Thank you.

00:27:12.400 Thank you.

00:27:12.440 Thank you.

00:27:12.480 Thank you.

00:27:12.500 Thank you.

00:27:13.400 Thank you.

00:27:14.400 Thank you.

00:27:14.440 Thank you.

00:27:16.400 Thank you.

00:27:18.180 All right, I'm

00:27:19.180 back.

00:27:19.820 Sorry, locals.

00:27:20.760 A little technical

00:27:21.320 difficulty.

00:27:23.120 That's the second

00:27:23.820 time that's happened.

00:27:26.000 So, California

00:27:27.040 reported 13

00:27:27.820 people died

00:27:28.460 yesterday of

00:27:28.980 COVID, but

00:27:29.920 how many of

00:27:30.360 them were

00:27:30.600 vaccinated?

00:27:32.240 Don't you

00:27:32.820 want to know

00:27:33.200 that?

00:27:34.420 Like, if the

00:27:36.140 public is part

00:27:36.840 of this process

00:27:37.600 and should be,

00:27:38.800 I mean, I

00:27:39.140 don't think the

00:27:39.580 government should

00:27:40.160 be making

00:27:40.560 decisions alone.

00:27:42.360 The public

00:27:42.980 opinion and the

00:27:44.240 public feedback

00:27:45.020 is part of the

00:27:46.020 whole process,

00:27:46.860 right?

00:27:47.200 That's the way

00:27:48.000 we run this

00:27:48.520 stuff.

00:27:49.280 And if the

00:27:49.800 public doesn't

00:27:50.420 get good

00:27:50.860 information,

00:27:51.620 or let's say

00:27:52.200 information that

00:27:53.200 they can act

00:27:54.220 on productively,

00:27:55.480 then you're not

00:27:56.760 managing.

00:27:58.080 It's not that

00:27:58.800 you're doing it

00:27:59.240 right or wrong,

00:27:59.900 you're not

00:28:00.220 doing it.

00:28:01.540 Let me say that

00:28:02.260 again.

00:28:02.880 I'm not saying

00:28:03.700 that the

00:28:04.020 government is

00:28:04.620 managing COVID

00:28:05.600 right or wrong.

00:28:07.000 I'm saying

00:28:07.600 they're not

00:28:07.900 managing it.

00:28:09.380 There's no

00:28:10.000 stated strategy,

00:28:11.340 and we're not

00:28:12.400 even tracking the

00:28:13.780 right stuff.

00:28:14.300 because if you

00:28:16.180 tracked how

00:28:17.320 many people

00:28:17.780 died who

00:28:19.220 were vaccinated

00:28:20.060 versus unvaccinated,

00:28:22.640 that would tell

00:28:23.040 you something.

00:28:24.500 If most of the

00:28:26.060 people dying are

00:28:27.200 unvaccinated,

00:28:28.500 why do I care?

00:28:31.600 Right?

00:28:31.980 In terms of

00:28:32.800 living in free

00:28:33.760 society, of course

00:28:34.700 I care about

00:28:35.260 people.

00:28:36.580 It would be

00:28:37.240 individual tragedies,

00:28:38.360 of course.

00:28:38.720 But why would

00:28:39.740 I care from

00:28:40.300 a policy

00:28:40.820 perspective if

00:28:42.120 these people

00:28:42.720 had access to

00:28:43.900 the vaccinations,

00:28:45.880 chose not to

00:28:46.640 take them,

00:28:47.720 got the result

00:28:48.960 that you get

00:28:49.560 if things go

00:28:50.200 wrong under

00:28:50.680 that consideration.

00:28:51.520 Why do I

00:28:51.900 care?

00:28:52.900 I'm vaccinated.

00:28:53.900 I had access

00:28:54.480 to it.

00:28:54.820 They had access

00:28:55.400 to it.

00:28:56.000 As long as

00:28:56.540 they have access

00:28:57.260 to vaccinations,

00:28:59.440 I need to know

00:29:00.700 how many died

00:29:01.280 vaccinated.

00:29:01.960 Now, Mark

00:29:03.740 Cuban, you all

00:29:04.980 know Mark,

00:29:06.040 tweeted at me.

00:29:08.260 He said,

00:29:08.620 Scott, period.

00:29:10.440 You do realize

00:29:11.300 that if, say,

00:29:12.380 we got to 90%

00:29:13.460 of people vaccinated,

00:29:15.200 that it's likely

00:29:15.920 that around 90%

00:29:16.980 of the hospitalizations

00:29:18.060 and deaths

00:29:18.660 would be vaccinated.

00:29:20.680 But the total

00:29:21.320 number of

00:29:21.700 hospitalizations

00:29:22.340 deaths would be

00:29:23.200 about 90% lower

00:29:24.940 than had people

00:29:26.340 not been vaxxed.

00:29:27.400 So he said,

00:29:28.240 do you realize

00:29:28.820 this?

00:29:30.120 Yes.

00:29:31.780 Yes.

00:29:32.700 Yes, I realize

00:29:33.620 that.

00:29:33.900 I say it all

00:29:34.380 the time.

00:29:35.440 And that doesn't

00:29:38.040 change the request

00:29:39.060 to have accurate

00:29:40.560 numbers, right?

00:29:42.600 So you all

00:29:43.500 understand that

00:29:44.660 if 100% of people

00:29:46.140 were vaccinated,

00:29:47.860 then every person

00:29:48.960 who died from COVID

00:29:49.860 after that point

00:29:50.580 would be a

00:29:51.120 vaccinated person.

00:29:51.920 And you would

00:29:52.960 not conclude

00:29:53.640 from that

00:29:54.020 that vaccinations

00:29:54.720 don't work.

00:29:56.260 You would say,

00:29:57.120 thank goodness,

00:29:57.760 it was only five

00:29:58.500 people.

00:29:59.280 Could have been

00:29:59.840 thousands, right?

00:30:01.300 So, Mark,

00:30:02.780 your point is

00:30:03.240 good, but of

00:30:03.820 course, I say

00:30:05.220 this all the

00:30:05.720 time.

00:30:07.180 However, if you

00:30:08.600 had all of

00:30:09.180 these numbers,

00:30:09.800 you'd be in

00:30:10.140 good shape.

00:30:10.760 If you knew

00:30:11.280 how many were

00:30:11.840 vaccinated of

00:30:13.100 the deaths

00:30:13.580 and how many

00:30:14.780 were unvaccinated,

00:30:16.320 and then you

00:30:17.220 also knew a

00:30:18.220 percentage of

00:30:18.900 the country or

00:30:20.080 the state was

00:30:20.720 vaccinated, you'd

00:30:22.520 have everything

00:30:22.960 you needed,

00:30:24.040 right?

00:30:24.760 So, yes,

00:30:25.720 Mark's point is

00:30:26.860 good, and you

00:30:27.480 should all be

00:30:27.820 aware of it.

00:30:28.560 That's why I say

00:30:29.220 it all the time.

00:30:29.780 If everybody's

00:30:31.080 vaccinated, then

00:30:31.980 those are the

00:30:32.400 only people dying.

00:30:33.200 It doesn't mean

00:30:33.620 the vaccination

00:30:34.120 doesn't work.

00:30:36.960 So, tell me

00:30:39.480 how many are

00:30:39.940 unvaccinated or

00:30:40.920 don't let me,

00:30:42.360 or don't imagine

00:30:43.020 that I care.

00:30:46.180 Kyra Romega

00:30:47.100 on, or Kyra?

00:30:49.200 How do you

00:30:49.520 pronounce K-I-R-A?

00:30:52.440 Kyra or Kyra?

00:30:55.300 Anyway, sorry,

00:30:56.100 I'm mispronouncing

00:30:57.000 your name, Kyra.

00:30:58.000 But, she 0.58

00:31:01.800 tweeted, I'd

00:31:02.560 frankly also

00:31:03.160 like to see

00:31:03.660 stats for the

00:31:04.340 different vaccines

00:31:05.260 administered.

00:31:07.920 Hmm.

00:31:10.200 Wouldn't you?

00:31:12.420 Wouldn't you

00:31:13.040 like to see

00:31:13.600 that?

00:31:15.240 Hmm.

00:31:16.200 And why

00:31:16.540 haven't you?

00:31:18.380 Because it

00:31:19.180 does seem like

00:31:19.720 a reasonable

00:31:20.160 question.

00:31:21.000 I would think

00:31:21.500 that every

00:31:21.900 person who

00:31:22.340 gets hospitalized

00:31:22.920 with COVID

00:31:23.740 should be

00:31:24.780 asked, are

00:31:25.240 you vaccinated?

00:31:26.920 Which one?

00:31:28.000 And how

00:31:28.800 recently?

00:31:29.780 Those are the

00:31:30.320 things we

00:31:30.680 should be

00:31:31.020 asking.

00:31:31.640 I'm guessing

00:31:32.340 we asked

00:31:32.800 that, but

00:31:33.740 is it a

00:31:34.880 federal

00:31:35.240 regulation?

00:31:36.040 It should

00:31:36.300 be.

00:31:37.080 There should

00:31:37.400 be some

00:31:37.820 federal

00:31:38.200 regulation that

00:31:38.960 says you

00:31:39.220 have to ask

00:31:39.760 that and

00:31:40.160 report it.

00:31:42.680 Now, I

00:31:43.420 would say

00:31:43.900 that maybe

00:31:44.440 there was a

00:31:45.000 reason we

00:31:45.480 didn't report

00:31:46.360 that before.

00:31:47.140 because,

00:31:49.120 remember,

00:31:50.780 you only

00:31:51.560 get, in

00:31:53.780 terms of

00:31:54.140 managing, you

00:31:54.800 only get

00:31:55.360 what you

00:31:55.840 measure.

00:31:56.720 Suppose we

00:31:57.480 had measured

00:31:57.920 that from

00:31:58.400 the start,

00:31:59.860 the differences

00:32:00.640 in vaccination

00:32:01.780 results.

00:32:03.180 What would

00:32:03.580 that have

00:32:04.000 done?

00:32:04.320 Because that's

00:32:04.740 what you're

00:32:05.100 measuring, and

00:32:06.200 what you measure

00:32:06.880 causes you to

00:32:07.680 act differently.

00:32:09.140 I think it

00:32:10.000 would have

00:32:10.200 caused fewer

00:32:11.080 vaccinations in

00:32:13.080 the beginning

00:32:13.520 because there

00:32:15.200 was an

00:32:15.620 availability

00:32:16.120 problem, so

00:32:17.400 if you could

00:32:17.880 get any one

00:32:18.760 of the

00:32:18.940 vaccinations,

00:32:19.680 you'd get

00:32:19.980 it.

00:32:20.540 You didn't

00:32:21.060 want people

00:32:21.500 shopping, which

00:32:23.480 is sort of

00:32:23.860 what I was

00:32:24.280 doing.

00:32:24.660 I was kind

00:32:25.060 of shopping.

00:32:25.760 That's why I

00:32:26.220 waited so long.

00:32:27.360 I was waiting

00:32:27.820 to see if any

00:32:28.400 of the

00:32:28.580 vaccinations

00:32:29.080 were duds

00:32:29.800 or if there

00:32:30.680 was any

00:32:30.920 surprises.

00:32:31.560 So I

00:32:31.780 waited as

00:32:32.220 long as I

00:32:32.700 could to

00:32:33.260 get as

00:32:33.480 much

00:32:33.680 information,

00:32:34.420 you know,

00:32:34.620 a few

00:32:34.840 months.

00:32:37.500 But at

00:32:38.100 this point,

00:32:39.020 now that

00:32:39.380 anybody can

00:32:39.940 get a

00:32:40.700 vaccination,

00:32:41.340 you could

00:32:41.620 probably shop,

00:32:42.580 couldn't

00:32:42.780 you?

00:32:43.520 Don't

00:32:44.140 you think

00:32:44.540 that maybe

00:32:45.300 you'd get

00:32:45.680 a few

00:32:45.980 more people

00:32:46.460 vaccinated

00:32:47.000 if that

00:32:47.440 was your

00:32:47.700 goal by

00:32:49.220 telling them,

00:32:49.880 okay, we've

00:32:50.540 got different

00:32:50.940 vaccinations,

00:32:51.800 we did find

00:32:52.320 this one's

00:32:52.740 5% better?

00:32:54.280 Maybe some

00:32:55.240 people would

00:32:55.680 say, okay,

00:32:56.540 I feel like

00:32:58.000 you know

00:32:58.480 more about

00:32:58.940 the vaccinations,

00:32:59.960 I'll give

00:33:00.900 it a shot.

00:33:01.740 I'll give

00:33:02.100 it a shot.

00:33:05.160 Dr.

00:33:06.400 Eli David,

00:33:07.360 not a

00:33:07.940 medical doctor,

00:33:09.360 but another

00:33:10.400 kind of smart

00:33:11.000 doctor, was

00:33:12.460 tweeting,

00:33:12.800 there's a

00:33:13.540 new peer

00:33:13.900 reviewed

00:33:14.220 paper showing

00:33:14.960 that aerosols

00:33:15.820 play a

00:33:16.340 major role

00:33:16.960 in COVID

00:33:17.420 transmission,

00:33:18.940 and fine

00:33:19.440 aerosols

00:33:19.960 constitute 85%

00:33:21.240 of the viral

00:33:21.720 load detected.

00:33:23.520 And he

00:33:24.560 says that

00:33:25.040 masks can

00:33:25.780 block droplets,

00:33:27.820 not aerosols,

00:33:28.980 so it's time to

00:33:29.720 abolish all

00:33:30.360 non-scientific

00:33:31.320 mask mandates.

00:33:33.620 To which I

00:33:34.460 say, the same

00:33:35.400 things I always

00:33:36.000 said, if you

00:33:37.260 have data from

00:33:38.500 a laboratory

00:33:39.080 experiment, which

00:33:40.560 is what this

00:33:41.040 is, I

00:33:41.340 believe, and

00:33:43.200 you also have

00:33:43.800 laboratory from

00:33:44.540 the field, or

00:33:45.240 you have data

00:33:45.740 from the field,

00:33:47.000 which one do

00:33:47.540 you look at?

00:33:48.780 You've got two

00:33:49.400 sets of data.

00:33:51.040 In the

00:33:51.520 laboratory, they

00:33:52.240 say, huh, we're

00:33:53.200 not sure these

00:33:53.780 masks are

00:33:54.280 working.

00:33:55.340 But in the

00:33:56.100 real world,

00:33:56.660 they're working.

00:33:57.680 In other

00:33:58.000 words, where

00:33:58.620 there are masks

00:33:59.220 that can measure

00:33:59.920 that there's

00:34:00.420 more of a

00:34:01.080 benefit.

00:34:01.940 Now, is

00:34:03.600 any of that

00:34:04.280 data accurate?

00:34:06.220 Who knows?

00:34:07.480 We're in a

00:34:08.060 world where you

00:34:08.580 can't trust

00:34:08.940 anything.

00:34:09.320 You can't

00:34:10.160 trust that the

00:34:10.720 masks work.

00:34:11.480 You can't

00:34:11.840 trust that they

00:34:12.320 don't work.

00:34:13.080 You definitely

00:34:13.560 can't trust the

00:34:14.220 laboratory study.

00:34:15.720 So here's what I

00:34:16.420 would tell you.

00:34:17.480 I would never

00:34:18.000 look at a

00:34:18.600 peer-reviewed,

00:34:19.800 which is

00:34:20.200 different than

00:34:20.620 a randomized

00:34:21.020 controlled trial,

00:34:22.280 I would never

00:34:22.660 look at just a

00:34:23.460 peer-reviewed

00:34:24.820 paper that said

00:34:25.580 that we tested

00:34:26.080 something in a

00:34:26.680 laboratory and

00:34:27.840 found out that

00:34:28.760 there's a lot of

00:34:29.520 aerosols that

00:34:30.920 matter.

00:34:32.080 We kind of

00:34:32.560 already knew

00:34:32.980 that, that the

00:34:34.020 aerosols matter.

00:34:35.200 And we also

00:34:35.620 knew that the

00:34:36.120 masks were never

00:34:36.960 intended to stop

00:34:37.840 100% of anything.

00:34:39.320 They were

00:34:39.960 supposed to

00:34:41.760 stop some

00:34:42.420 amount of

00:34:43.280 it during the

00:34:44.340 worst of the

00:34:45.040 pandemic.

00:34:45.900 Now, I'm

00:34:46.360 anti-mask

00:34:47.560 mandate, just

00:34:49.320 to be clear,

00:34:50.100 because it

00:34:50.440 sounds like I'm

00:34:50.960 being pro-mask 0.65

00:34:51.700 here.

00:34:52.220 But I think

00:34:53.100 you can have

00:34:53.660 the nuanced

00:34:54.160 opinion that

00:34:54.840 masks make

00:34:55.600 some difference,

00:34:56.840 but overall,

00:34:58.460 they're not

00:34:58.720 worth it,

00:34:59.620 because your

00:35:00.440 lifestyle would

00:35:01.140 be so affected

00:35:02.120 by it.

00:35:02.980 So that's my

00:35:03.520 point of view.

00:35:04.540 I believe that

00:35:05.760 masks almost

00:35:07.120 certainly make

00:35:07.960 some difference.

00:35:09.420 Let me put it

00:35:09.960 this way.

00:35:10.920 If you knew

00:35:11.520 you were in a

00:35:12.140 room with

00:35:12.580 people who

00:35:13.000 had COVID,

00:35:13.940 let's say you

00:35:14.460 knew there was

00:35:14.880 one person in

00:35:15.520 the room and

00:35:15.920 you were going

00:35:16.180 to talk to

00:35:16.580 all of them

00:35:16.960 one by one,

00:35:18.320 would you want

00:35:18.980 the person who

00:35:19.580 was talking to

00:35:20.580 you from three

00:35:21.200 feet away and

00:35:21.880 facing you to

00:35:22.600 be wearing a

00:35:23.380 mask or not?

00:35:26.420 Yeah.

00:35:27.760 Right?

00:35:29.040 How often before

00:35:30.240 the masks were a

00:35:31.380 big thing, were

00:35:32.400 you talking to

00:35:33.040 somebody and you

00:35:33.660 could feel their

00:35:34.220 spittle in your

00:35:34.860 face? 0.95

00:35:36.120 You know what

00:35:36.540 I'm talking

00:35:36.920 about.

00:35:37.720 You can feel

00:35:38.360 the spittle

00:35:38.900 hitting you in 0.67

00:35:39.460 the face. 0.99

00:35:40.840 I feel like if

00:35:42.180 somebody has

00:35:42.720 COVID, I don't

00:35:44.120 want their

00:35:44.500 spittle hitting 0.98

00:35:45.080 my face and

00:35:45.780 the mask would

00:35:46.340 make some

00:35:46.780 difference.

00:35:48.580 So I think

00:35:50.160 you can be

00:35:51.100 scientific enough

00:35:52.980 to say masks

00:35:53.740 make a difference

00:35:54.680 at the same

00:35:55.320 time you can

00:35:55.840 say maybe we've

00:35:56.740 reached the

00:35:57.080 point where if

00:35:58.100 unvaccinated people

00:35:59.340 want to take the

00:35:59.920 chance, let them

00:36:00.800 do it.

00:36:01.260 And vaccinated

00:36:01.740 people too.

00:36:02.760 So remember,

00:36:03.220 vaccinated people

00:36:04.260 are getting

00:36:04.680 the virus now.

00:36:06.360 So don't

00:36:07.380 forget that.

00:36:12.760 Let's see.

00:36:14.360 Barnes posted a

00:36:15.220 link on a

00:36:15.880 randomized control

00:36:16.800 trial that

00:36:17.620 should statistically

00:36:18.660 signal that

00:36:20.220 ivermectin was

00:36:21.040 effective at

00:36:21.980 treating COVID.

00:36:24.040 Interesting.

00:36:24.520 So somebody's

00:36:26.160 saying that

00:36:26.820 Barnes has

00:36:29.520 posted a, and

00:36:31.040 you can see

00:36:31.760 Viva and

00:36:32.640 Barnes, their

00:36:33.800 podcast is great

00:36:34.700 by the way.

00:36:35.180 It's one of the

00:36:35.540 best ones.

00:36:36.540 You should watch

00:36:37.040 it on YouTube

00:36:37.740 and or locals.

00:36:38.780 I think you can

00:36:39.260 see it on both

00:36:39.800 platforms.

00:36:40.680 Twitch too,

00:36:41.420 maybe.

00:36:43.940 But this is

00:36:44.820 news I haven't

00:36:45.360 heard before.

00:36:46.060 So I'm just

00:36:46.540 seeing it in a

00:36:47.080 comment on

00:36:47.640 locals that

00:36:49.000 there might be

00:36:50.040 some new news

00:36:50.640 on ivermectin.

00:36:52.900 All right.

00:36:58.520 All right.

00:36:59.900 Is there

00:37:00.420 anything I

00:37:01.020 missed?

00:37:03.040 I said Viva

00:37:04.940 and Barnes.

00:37:11.140 I'm going to

00:37:11.800 look at your

00:37:12.280 comments here

00:37:12.900 for a moment.

00:37:15.100 Cori Bush.

00:37:16.060 Yeah, I don't

00:37:16.420 have much to say

00:37:17.000 about her.

00:37:17.500 I know what

00:37:17.820 you're talking

00:37:18.140 about.

00:37:18.380 Yes, there's

00:37:23.180 a story about

00:37:23.920 a police

00:37:25.140 officer who

00:37:25.840 almost OD'd

00:37:26.840 on fentanyl

00:37:27.600 without taking

00:37:28.300 any.

00:37:29.120 Was just

00:37:29.580 around it

00:37:30.220 and just

00:37:30.640 sniffed it.

00:37:31.520 That happens

00:37:32.140 to drug

00:37:33.400 dogs too.

00:37:34.580 If a drug

00:37:35.020 dog sniffs

00:37:35.840 fentanyl,

00:37:37.240 the dog's

00:37:37.660 dead.

00:37:42.860 How did a

00:37:43.700 guy like you

00:37:44.460 get a girl 0.97

00:37:45.060 like Christina? 0.95

00:37:47.060 You know,

00:37:47.660 you're not the

00:37:48.200 first person

00:37:48.680 to ask.

00:37:50.140 But why

00:37:50.900 isn't anybody

00:37:51.420 asking how

00:37:52.560 a girl like

00:37:53.080 Christina got

00:37:53.780 a great guy

00:37:54.320 like me?

00:37:55.940 Could it be

00:37:56.460 my looks?

00:37:58.680 Could be.

00:38:02.360 All right.

00:38:03.020 That's about

00:38:03.420 all I got

00:38:03.840 for today.

00:38:04.540 And I will

00:38:05.080 talk to you

00:38:05.960 tomorrow.

00:38:07.180 tomorrow.

00:38:07.720 Let's go.

Real Coffee with Scott Adams - August 08, 2021

Episode 1462 Scott Adams： Things in the Headlines That Make me Laugh and Cry

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