WEBVTT - What's the Science of Perfect Timing?

0:00:00.080 --> 0:00:02.960
<v Speaker 1>Guess what, mango, what's that? Will? Actually wait before we

0:00:03.000 --> 0:00:07.280
<v Speaker 1>get started. Let's let's high five? Okay five? Oh and

0:00:07.280 --> 0:00:11.920
<v Speaker 1>and fist bump and oh yeah and chess bump. I

0:00:11.960 --> 0:00:14.760
<v Speaker 1>feel like you're just stalling. What's this all about? Well,

0:00:14.840 --> 0:00:17.960
<v Speaker 1>there's there. This is actually very relevant. There there's research

0:00:18.040 --> 0:00:20.360
<v Speaker 1>from the NBA that shows that a good predictor of

0:00:20.400 --> 0:00:23.279
<v Speaker 1>team performance is how often the team high fives or

0:00:23.400 --> 0:00:27.360
<v Speaker 1>fist bumps, chess bumps, and head slaps. So I feel

0:00:27.400 --> 0:00:29.440
<v Speaker 1>like it might help us have a good show. I'm

0:00:29.480 --> 0:00:31.920
<v Speaker 1>gonna draw the line of head slapping, but that is

0:00:31.920 --> 0:00:34.760
<v Speaker 1>pretty interesting. I'm not a dent sure what the head

0:00:34.760 --> 0:00:37.120
<v Speaker 1>slapping thing is, even though I watched a lot of basketball.

0:00:37.159 --> 0:00:39.720
<v Speaker 1>But there's actually another basketball fact that I think is

0:00:39.760 --> 0:00:42.960
<v Speaker 1>even more interesting. After looking at the results of tens

0:00:42.960 --> 0:00:46.480
<v Speaker 1>of thousands of NBA and college games, these researchers found

0:00:46.479 --> 0:00:49.319
<v Speaker 1>that teams trailing by a single point at halftime are

0:00:49.360 --> 0:00:52.040
<v Speaker 1>actually more likely to win than the team's winning by

0:00:52.040 --> 0:00:54.920
<v Speaker 1>a point. In fact, they found it was statistically equivalent

0:00:55.000 --> 0:00:58.040
<v Speaker 1>to a two point halftime lead. That's crazy. So why

0:00:58.120 --> 0:01:01.080
<v Speaker 1>is that? Well, it's all about amy. But the science

0:01:01.080 --> 0:01:04.080
<v Speaker 1>of perfect timing is pretty fascinating and help us make

0:01:04.120 --> 0:01:06.360
<v Speaker 1>sense of it. We've got Daniel Pink, the brilliant author

0:01:06.400 --> 0:01:09.360
<v Speaker 1>of a brand new book called Win, The Scientific Secrets

0:01:09.360 --> 0:01:11.600
<v Speaker 1>of Perfect Time, and he's here to explain it all.

0:01:11.720 --> 0:01:35.560
<v Speaker 1>So let's dive in. Hey, their podcast listeners, welcome to

0:01:35.600 --> 0:01:37.960
<v Speaker 1>part time genius Samuel Pearson, And as always, I'm joined

0:01:37.959 --> 0:01:40.080
<v Speaker 1>by my good friend Man Guesh Ticketer and the man

0:01:40.160 --> 0:01:43.160
<v Speaker 1>on the other side of the soundproof glass playing Cindylopper's

0:01:43.240 --> 0:01:46.800
<v Speaker 1>Time after Time very softly in our headphones. That's our

0:01:46.840 --> 0:01:50.160
<v Speaker 1>friend and producer, Tristan McNeil. I didn't realize what it

0:01:50.200 --> 0:01:53.520
<v Speaker 1>was until he slowly turned it off. Rascal. Anyway, Mango,

0:01:53.600 --> 0:01:55.960
<v Speaker 1>are you ready to talk about perfect timing? I am,

0:01:56.000 --> 0:01:58.320
<v Speaker 1>you know, I think what's so striking and reading Daniel's

0:01:58.320 --> 0:02:00.600
<v Speaker 1>book was just how little science we've put behind our

0:02:00.640 --> 0:02:03.800
<v Speaker 1>decisions on when to do certain things. Like we constantly

0:02:03.840 --> 0:02:06.440
<v Speaker 1>analyze how to do things, how to take a test,

0:02:06.520 --> 0:02:09.120
<v Speaker 1>how to organize a productive meeting, how to be healthier,

0:02:09.280 --> 0:02:12.080
<v Speaker 1>But when it comes to the when decisions, we really

0:02:12.160 --> 0:02:15.160
<v Speaker 1>leave that to a gut feeling. So I'm super excited

0:02:15.200 --> 0:02:17.280
<v Speaker 1>to talk to Daniel Pink about his research because this

0:02:17.320 --> 0:02:19.960
<v Speaker 1>book is really fascinating. I'm with you on that, all right, Well,

0:02:20.040 --> 0:02:22.480
<v Speaker 1>let's not hold off any longer. Today we're joined by

0:02:22.520 --> 0:02:25.600
<v Speaker 1>the author of several books, including the New York Times bestsellers,

0:02:25.720 --> 0:02:28.919
<v Speaker 1>Drive to Sell as Human and A Whole New Mind.

0:02:29.240 --> 0:02:31.680
<v Speaker 1>But his newest book that just came out yesterday actually

0:02:32.080 --> 0:02:35.840
<v Speaker 1>is called When the Scientific Secrets of Perfect Timing. Daniel Pink.

0:02:35.880 --> 0:02:39.840
<v Speaker 1>Welcome to Part Time Genius. Thanks great to be here. Now, Daniel,

0:02:39.880 --> 0:02:42.200
<v Speaker 1>you open the book with a story about a study

0:02:42.200 --> 0:02:45.080
<v Speaker 1>out of Cornell. There these two sociologists. They're doing a

0:02:45.080 --> 0:02:49.480
<v Speaker 1>big data analysis of five hundred million tweets, you know,

0:02:49.520 --> 0:02:51.720
<v Speaker 1>along with the other research that have helped find these

0:02:51.760 --> 0:02:54.480
<v Speaker 1>patterns of the day. So can you talk a little

0:02:54.480 --> 0:02:56.320
<v Speaker 1>bit about that and how the heck do you do

0:02:56.360 --> 0:03:00.920
<v Speaker 1>an analysis of five hundred million tweets? Well, fortunately I

0:03:00.960 --> 0:03:04.920
<v Speaker 1>didn't do this analysis. Um, these guys that Cornell did it.

0:03:05.080 --> 0:03:07.520
<v Speaker 1>And it's actually one of the interesting things about how

0:03:07.600 --> 0:03:09.919
<v Speaker 1>research has done these days and how we can use

0:03:10.240 --> 0:03:14.680
<v Speaker 1>giant amounts of data to find hidden insights. So essentially

0:03:14.760 --> 0:03:18.440
<v Speaker 1>what they did was this, so tweets remember our actual text, right,

0:03:18.800 --> 0:03:22.760
<v Speaker 1>so their words or letters, characters, and um, there is

0:03:23.080 --> 0:03:26.480
<v Speaker 1>a piece of software called LUKE. That's the acronym l

0:03:26.520 --> 0:03:29.600
<v Speaker 1>I w C for the Linguistic Inventory Word count. This

0:03:29.680 --> 0:03:33.600
<v Speaker 1>software allows us to measure what essentially the emotional content

0:03:33.639 --> 0:03:35.280
<v Speaker 1>of the work. So if you if I look at

0:03:35.320 --> 0:03:38.240
<v Speaker 1>a word like like bummed out and say, okay, that's

0:03:38.560 --> 0:03:41.920
<v Speaker 1>someone who is a little bit low emotion, excited high emotion.

0:03:42.520 --> 0:03:44.320
<v Speaker 1>And so what you can do is that instead of

0:03:44.320 --> 0:03:46.480
<v Speaker 1>going through these things one by one. This is the

0:03:46.480 --> 0:03:48.960
<v Speaker 1>great thing about computers is ability to crunch these numbers.

0:03:49.040 --> 0:03:52.400
<v Speaker 1>They throw all of these five million tweets into this

0:03:52.640 --> 0:03:57.600
<v Speaker 1>program and their question is does people's mood as reflected

0:03:57.600 --> 0:04:00.680
<v Speaker 1>by these tweets change over the course of a day.

0:04:01.040 --> 0:04:05.760
<v Speaker 1>And the answer was heck yeah, and how so. Well,

0:04:05.840 --> 0:04:09.200
<v Speaker 1>what they found was this really intriguing pattern. There was

0:04:09.240 --> 0:04:12.040
<v Speaker 1>a peak, a trough, and a recovery. And again it's

0:04:12.080 --> 0:04:15.920
<v Speaker 1>obviously controlled for time zone. Uh. Early in the day

0:04:16.160 --> 0:04:19.719
<v Speaker 1>where people had a more positive mood. That positive mood

0:04:19.880 --> 0:04:22.960
<v Speaker 1>was fairly steady until about noon. Then in the early

0:04:23.000 --> 0:04:26.200
<v Speaker 1>to mid afternoon it began to dip. It dipped considerably

0:04:26.640 --> 0:04:29.760
<v Speaker 1>over the afternoon and then rose again in the late

0:04:29.800 --> 0:04:33.679
<v Speaker 1>afternoon early evening. And what they found were essentially three stages,

0:04:33.720 --> 0:04:37.120
<v Speaker 1>a peak, a trough, and a recovery that as we

0:04:37.160 --> 0:04:41.800
<v Speaker 1>had positive mood in the morning, pretty strong dive in

0:04:41.880 --> 0:04:44.480
<v Speaker 1>mood in the early to mid afternoon, and then recovery

0:04:44.560 --> 0:04:48.480
<v Speaker 1>later in the day. It's very interesting. Yeah. So so

0:04:48.520 --> 0:04:51.640
<v Speaker 1>obviously you know we're not all the same. And we've

0:04:51.640 --> 0:04:54.279
<v Speaker 1>talked a little bit about like circadian rhythms and in

0:04:54.400 --> 0:04:57.040
<v Speaker 1>our episode on sleep awhile back, but you talk about

0:04:57.160 --> 0:05:00.480
<v Speaker 1>chronotypes and how do you use them to perform Can

0:05:00.520 --> 0:05:02.440
<v Speaker 1>you tell us exactly what a chronotype is and how

0:05:02.440 --> 0:05:05.479
<v Speaker 1>people identify themselves as whatever. So there's a whole field

0:05:05.480 --> 0:05:09.640
<v Speaker 1>is study called chronobiology and chrono for time biology for

0:05:09.800 --> 0:05:13.080
<v Speaker 1>study of life, and it looks at exactly as you say,

0:05:13.120 --> 0:05:16.560
<v Speaker 1>are daily rhythms. What it finds is that people have

0:05:16.760 --> 0:05:22.039
<v Speaker 1>certain type, certain propensities. Some of us rise early, fall

0:05:22.080 --> 0:05:25.360
<v Speaker 1>asleep earlier, some of us rise late, fall asleep late.

0:05:25.480 --> 0:05:28.719
<v Speaker 1>Some people are larks morning people, some people are owls

0:05:28.800 --> 0:05:31.440
<v Speaker 1>evening people. But the truth is that most of us

0:05:31.440 --> 0:05:32.800
<v Speaker 1>are kind of in between what I like to call

0:05:32.880 --> 0:05:35.920
<v Speaker 1>third birds. And if you're a lark or a third bird,

0:05:36.000 --> 0:05:39.080
<v Speaker 1>you generally go through the day in that in the

0:05:39.160 --> 0:05:41.040
<v Speaker 1>order that I just mentioned, a peak, a trough, a

0:05:41.120 --> 0:05:43.880
<v Speaker 1>recovery that you have. In the mornings, you're generally at

0:05:43.920 --> 0:05:45.760
<v Speaker 1>your best, both in terms of mood and in terms

0:05:45.760 --> 0:05:48.600
<v Speaker 1>of vigilance. In the early afternoons there's a pretty significant

0:05:48.640 --> 0:05:51.800
<v Speaker 1>deterioration and then some kind of recovery later in the

0:05:51.880 --> 0:05:53.760
<v Speaker 1>day for the but the one and five of us

0:05:53.800 --> 0:05:56.240
<v Speaker 1>were very strong owls nighttime types. These are people who

0:05:56.560 --> 0:06:00.320
<v Speaker 1>go to sleep just naturally very late and wake up late,

0:06:00.680 --> 0:06:03.880
<v Speaker 1>people for whom eight o'clock staff meetings are just a

0:06:03.960 --> 0:06:07.039
<v Speaker 1>form of torture um those folks. And to go in

0:06:07.279 --> 0:06:10.560
<v Speaker 1>more or less the reverse order recovery truck peak, and

0:06:10.600 --> 0:06:14.400
<v Speaker 1>that would probably be you, mango, Yeah, yeah, what time

0:06:14.440 --> 0:06:15.880
<v Speaker 1>do you Well, here's a here's the test. Let's we

0:06:15.880 --> 0:06:17.720
<v Speaker 1>can test you right now. All right, we'll do we'll

0:06:17.720 --> 0:06:20.920
<v Speaker 1>do the basically back in the envelope chronotype test here. So,

0:06:21.480 --> 0:06:22.920
<v Speaker 1>so let's say it's a day where you don't have

0:06:22.960 --> 0:06:24.800
<v Speaker 1>to wake up to an alarm clock, which for many

0:06:24.800 --> 0:06:27.680
<v Speaker 1>people as a weekend. Okay, so what time would you

0:06:27.720 --> 0:06:30.520
<v Speaker 1>usually go to sleep? Yeah, I mean, I think kids

0:06:30.560 --> 0:06:33.839
<v Speaker 1>have thrown everything off, but I think probably between three

0:06:33.880 --> 0:06:39.120
<v Speaker 1>and four. Oh, my lord, four am. Yeah, oh, I

0:06:39.160 --> 0:06:40.720
<v Speaker 1>don't even have to do the rest of this time.

0:06:42.360 --> 0:06:47.160
<v Speaker 1>And what time would you usually wake up? I don't know, ten,

0:06:47.320 --> 0:06:50.480
<v Speaker 1>I'd say ten. Okay. So so what we would do

0:06:50.520 --> 0:06:53.040
<v Speaker 1>in this case was we would find your your midpoint

0:06:53.040 --> 0:06:58.400
<v Speaker 1>of sleep. So if you if so your midpoint of sleep,

0:06:58.440 --> 0:06:59.720
<v Speaker 1>if you can go to sleep at three and wake

0:06:59.800 --> 0:07:01.880
<v Speaker 1>up at and your midpoint of sleep, would you, guys

0:07:01.960 --> 0:07:06.400
<v Speaker 1>be six thirty am, which would make you a pretty

0:07:06.400 --> 0:07:11.720
<v Speaker 1>strong owl. Strong about one out of five people are

0:07:12.120 --> 0:07:16.480
<v Speaker 1>pretty strong owls um and I I like the designation

0:07:16.480 --> 0:07:19.880
<v Speaker 1>of a strong owl. Yea's a very strong owl. Yeah

0:07:20.000 --> 0:07:22.800
<v Speaker 1>or uh so, yeah, that's that's that's that's pretty alley.

0:07:23.080 --> 0:07:27.680
<v Speaker 1>How are you You don't be asking, I'm oh man,

0:07:27.720 --> 0:07:32.640
<v Speaker 1>oh man, you're a serious owl then, yeah, yeah, well congratulations.

0:07:32.280 --> 0:07:34.880
<v Speaker 1>He's been that way for a long time. In college,

0:07:34.880 --> 0:07:37.440
<v Speaker 1>he was paired up with another owl, and so we

0:07:37.480 --> 0:07:39.920
<v Speaker 1>all had to be aware that they would just wake

0:07:40.000 --> 0:07:42.280
<v Speaker 1>up at about what about two in the afternoon and

0:07:42.640 --> 0:07:45.000
<v Speaker 1>talk about what they were going to get for breakfast. Well,

0:07:45.320 --> 0:07:47.360
<v Speaker 1>what's interesting is that is that that that's one reason

0:07:47.400 --> 0:07:50.160
<v Speaker 1>I asked to your age is that most of us

0:07:50.160 --> 0:07:52.280
<v Speaker 1>go through a period between about age fourteen and twenty

0:07:52.320 --> 0:07:57.120
<v Speaker 1>four when we become the owliest in our life. Um.

0:07:57.200 --> 0:07:59.560
<v Speaker 1>And that has to do with hormones and whatever. So

0:07:59.600 --> 0:08:03.360
<v Speaker 1>there's a pretty soon that they can shift, beginning basically

0:08:03.440 --> 0:08:07.280
<v Speaker 1>post puberty, where people shift literally in some cases to

0:08:07.560 --> 0:08:12.080
<v Speaker 1>three hours later into the day. Um. But then as

0:08:12.160 --> 0:08:15.120
<v Speaker 1>time goes on, they go back to their earlier So

0:08:15.240 --> 0:08:16.840
<v Speaker 1>to what you have is you have like little kids

0:08:16.920 --> 0:08:23.920
<v Speaker 1>is I think magnis is discovered are pretty large, pretty long, um.

0:08:23.960 --> 0:08:26.600
<v Speaker 1>And we basically are are strong larks earlier in our

0:08:26.640 --> 0:08:28.560
<v Speaker 1>life and then later in life. The older you get,

0:08:28.560 --> 0:08:31.720
<v Speaker 1>the larker you become in general. Well, you talk about

0:08:31.720 --> 0:08:33.319
<v Speaker 1>this a little bit in the book when you're talking

0:08:33.320 --> 0:08:36.319
<v Speaker 1>about those teenage years, and we've heard this before, the

0:08:36.360 --> 0:08:39.520
<v Speaker 1>advocacy for a later start time, you know, in the

0:08:39.520 --> 0:08:43.920
<v Speaker 1>American Academy of Pediatrics actually issuing a policy statement urging

0:08:43.960 --> 0:08:46.440
<v Speaker 1>schools to start I think it was no no earlier

0:08:46.480 --> 0:08:49.960
<v Speaker 1>than eight thirty, and yet fewer than one in five

0:08:50.040 --> 0:08:52.959
<v Speaker 1>schools actually follow this, as you indicated the book. Well,

0:08:52.960 --> 0:08:55.720
<v Speaker 1>why do you think that is? Because they don't take

0:08:55.760 --> 0:08:58.120
<v Speaker 1>these time and questions seriously. They don't take questions of

0:08:58.120 --> 0:09:01.160
<v Speaker 1>when seriously these schools. And I don't mean to pick

0:09:01.160 --> 0:09:03.719
<v Speaker 1>on schools because I think it's true for all our institutions.

0:09:04.040 --> 0:09:06.600
<v Speaker 1>We take very seriously, Okay, what are we gonna do? Alright,

0:09:06.600 --> 0:09:08.960
<v Speaker 1>So they take curriculum very seriously. What are we gonna do,

0:09:09.120 --> 0:09:10.320
<v Speaker 1>How are we gonna do it, How are we going

0:09:10.360 --> 0:09:13.400
<v Speaker 1>to teach it? We have professional development days to improve

0:09:13.400 --> 0:09:15.360
<v Speaker 1>our pedagogy. How are we going to do it? Who

0:09:15.400 --> 0:09:18.440
<v Speaker 1>are we gonna do it with? They take hiring pretty seriously. Um,

0:09:18.760 --> 0:09:21.800
<v Speaker 1>But then we take these questions of when, and we say, ah,

0:09:21.840 --> 0:09:24.160
<v Speaker 1>that doesn't really matter. That's like we we we take

0:09:24.200 --> 0:09:25.840
<v Speaker 1>these questions of when and when we sit them at

0:09:25.840 --> 0:09:27.920
<v Speaker 1>the kids table rather than at the groun ups table.

0:09:28.240 --> 0:09:30.600
<v Speaker 1>And that's a huge mistake. These questions of when, these

0:09:30.679 --> 0:09:33.559
<v Speaker 1>questions of timing, as you're saying, with school star times,

0:09:33.720 --> 0:09:38.240
<v Speaker 1>have a material effect on people's well being. School star

0:09:38.320 --> 0:09:42.240
<v Speaker 1>times alone, Um, there is evidence that these early star times,

0:09:42.280 --> 0:09:47.120
<v Speaker 1>again for people who are very ali who which teenagers

0:09:47.200 --> 0:09:49.800
<v Speaker 1>tend to be starting school at seven thirty in the

0:09:49.800 --> 0:09:54.120
<v Speaker 1>morning is ridiculous. They're barely even awake. And consequence of

0:09:54.160 --> 0:09:58.800
<v Speaker 1>that is dire the You have higher rates of depression,

0:09:59.000 --> 0:10:02.840
<v Speaker 1>higher rates of OBEs, the increased incidents of auto accidents,

0:10:03.160 --> 0:10:07.120
<v Speaker 1>higher dropout rates, reduced performance on santidized tests, and schools

0:10:07.120 --> 0:10:09.760
<v Speaker 1>that have done something about this, and again we're not

0:10:10.000 --> 0:10:12.880
<v Speaker 1>we're not. We're not talking about like a Magnat schedule

0:10:12.920 --> 0:10:16.160
<v Speaker 1>where you start school at three in the afternoon. We're

0:10:16.200 --> 0:10:18.200
<v Speaker 1>talking about like starting it at like nine in the

0:10:18.200 --> 0:10:20.520
<v Speaker 1>morning rather than seven thirty in the morning. Schools that

0:10:20.559 --> 0:10:23.320
<v Speaker 1>have made those that that modest step that basically followed

0:10:23.320 --> 0:10:27.040
<v Speaker 1>the recommendations of the American Accountmy of Pediatrics have seen

0:10:27.240 --> 0:10:30.200
<v Speaker 1>low and behold higher test scores, lower dropout rate. If

0:10:30.240 --> 0:10:34.160
<v Speaker 1>you just think about the workplace, time of day explains

0:10:34.200 --> 0:10:40.560
<v Speaker 1>about twenty of the variance in our performance on cognitive tasks.

0:10:40.600 --> 0:10:43.520
<v Speaker 1>So you know, so it doesn't mean the timing is everything,

0:10:43.880 --> 0:10:46.640
<v Speaker 1>but it means it's a freaking big thing, right right right, Well,

0:10:46.640 --> 0:10:49.560
<v Speaker 1>we'll speaking of that material difference as you mentioned, you know,

0:10:49.600 --> 0:10:53.400
<v Speaker 1>not just affecting teenagers but adults as well. You you

0:10:53.480 --> 0:10:56.679
<v Speaker 1>talk about this Bermuda triangle of our days in the afternoons,

0:10:56.720 --> 0:10:58.800
<v Speaker 1>and and we we all know that there tends to

0:10:58.800 --> 0:11:02.559
<v Speaker 1>be that afternoon. We've all experienced that, especially after man

0:11:02.559 --> 0:11:05.280
<v Speaker 1>guess and I have been downstairs eating ramen for lunch

0:11:05.280 --> 0:11:10.680
<v Speaker 1>and afternoon slump. But actually hearing from you and hearing

0:11:10.800 --> 0:11:14.520
<v Speaker 1>the hard evidence of this, whether it's with standardized test

0:11:14.679 --> 0:11:17.240
<v Speaker 1>or even results from juries, can you talk a little

0:11:17.240 --> 0:11:20.440
<v Speaker 1>bit about that impact. It's huge and it's terrifying. There's

0:11:20.480 --> 0:11:23.959
<v Speaker 1>research from Denmark showing the kids score systematically lower if

0:11:23.960 --> 0:11:26.280
<v Speaker 1>they take standardized tests in the afternoon versus they take

0:11:26.320 --> 0:11:28.840
<v Speaker 1>them in the morning. Okay, so just think about that

0:11:28.880 --> 0:11:31.679
<v Speaker 1>in terms of the extent to which standardized tests affect

0:11:31.720 --> 0:11:35.320
<v Speaker 1>the kid's fate, where they affect education policy. Again, time

0:11:35.320 --> 0:11:37.960
<v Speaker 1>of day is having this massive effect, but it's invisible

0:11:38.000 --> 0:11:40.880
<v Speaker 1>to us. If you look at something like you make

0:11:40.920 --> 0:11:43.720
<v Speaker 1>an interesting point about about juries or criminal justice system,

0:11:43.760 --> 0:11:47.559
<v Speaker 1>there's some really good experimental evidence showing that if you

0:11:47.760 --> 0:11:52.079
<v Speaker 1>have two defendants. That's a famous experiment, one one named uh.

0:11:52.440 --> 0:11:56.320
<v Speaker 1>Some participants have a defendant name Robert Garner, some have

0:11:56.400 --> 0:11:59.960
<v Speaker 1>one name ROBERTA. Garcia. And if you have the same

0:12:00.000 --> 0:12:03.760
<v Speaker 1>set of facts juries that deliberate in the morning, treat

0:12:03.800 --> 0:12:06.320
<v Speaker 1>those defendants the same juries that have the same set

0:12:06.360 --> 0:12:09.560
<v Speaker 1>of facts and deliberate in the afternoon during this trough period.

0:12:09.960 --> 0:12:13.599
<v Speaker 1>Guess what they are more likely to convict Garcia and

0:12:13.679 --> 0:12:18.640
<v Speaker 1>exonerate Garner on the same set of facts. Right, but

0:12:18.640 --> 0:12:20.760
<v Speaker 1>but but wait, there's more, Because now we can go

0:12:20.800 --> 0:12:24.040
<v Speaker 1>into healthcare. Doctors and nurses are far less likely to

0:12:24.040 --> 0:12:26.040
<v Speaker 1>wash their hands in the afternoons and in the mornings

0:12:26.440 --> 0:12:29.959
<v Speaker 1>if you look at if you look at things like anesthesia,

0:12:30.240 --> 0:12:33.000
<v Speaker 1>you're three times more likely to have an anesthesia error

0:12:33.040 --> 0:12:37.320
<v Speaker 1>in an afternoon procedure than in the morning procedure. Uh. Yeah,

0:12:37.440 --> 0:12:40.520
<v Speaker 1>the whole thing is terrifying and so over. Even even

0:12:40.520 --> 0:12:42.839
<v Speaker 1>if we look at things like auto accidents, there's some

0:12:42.880 --> 0:12:45.520
<v Speaker 1>good research out of the UK. You know, when do

0:12:45.679 --> 0:12:48.560
<v Speaker 1>auto accidents peak? If you're just for how many cars

0:12:48.600 --> 0:12:51.240
<v Speaker 1>are on the road? Big surprise, they peeked between like

0:12:51.320 --> 0:12:54.439
<v Speaker 1>four and six am. Okay, because it's the middle of

0:12:54.480 --> 0:12:56.400
<v Speaker 1>the night and it's really dark. But the second most

0:12:56.400 --> 0:12:59.040
<v Speaker 1>common time is between two and four pm. It's perfectly

0:12:59.120 --> 0:13:02.680
<v Speaker 1>light outside. Yeah. We don't take these kinds of time

0:13:02.679 --> 0:13:06.720
<v Speaker 1>and day effects nearly seriously enough, and they have a big,

0:13:06.760 --> 0:13:09.480
<v Speaker 1>big effect on literally in some cases of life and death.

0:13:09.679 --> 0:13:12.080
<v Speaker 1>So these are so scary statistics. Now, we have several

0:13:12.120 --> 0:13:14.079
<v Speaker 1>more questions for you. But before we get to those,

0:13:14.120 --> 0:13:29.559
<v Speaker 1>let's take a quick break. Welcome back to Part Time Genius.

0:13:29.559 --> 0:13:32.040
<v Speaker 1>We're talking to Daniel Pink, the author of When The

0:13:32.080 --> 0:13:35.640
<v Speaker 1>Scientific Secrets of Perfect Finding. Daniel, I, I know we

0:13:35.720 --> 0:13:38.280
<v Speaker 1>talked about the fact that I'm not a morning person,

0:13:38.559 --> 0:13:42.079
<v Speaker 1>but I was curious about morning exercise because that's something

0:13:42.080 --> 0:13:43.720
<v Speaker 1>you talk about in your book. Can you tell about

0:13:43.720 --> 0:13:46.199
<v Speaker 1>the benefits of doing it then versus afternoon and what

0:13:46.240 --> 0:13:48.120
<v Speaker 1>it means for your body. Yeah, this is something that

0:13:48.160 --> 0:13:49.920
<v Speaker 1>I was really interested in because I was trying to

0:13:49.920 --> 0:13:53.360
<v Speaker 1>figure it out for myself. Um and so um. It's

0:13:53.360 --> 0:13:55.319
<v Speaker 1>pretty easy to figure out whether you should exercise in

0:13:55.360 --> 0:13:58.360
<v Speaker 1>the morning or the afternoon. It all depends on what

0:13:58.480 --> 0:14:00.840
<v Speaker 1>your goals are. So if you're also to lose weight,

0:14:01.040 --> 0:14:03.200
<v Speaker 1>exercise in the morning, you're gonna burn up more calories

0:14:03.240 --> 0:14:05.600
<v Speaker 1>than typically. If you actually in the morning, you're gonna

0:14:05.640 --> 0:14:07.520
<v Speaker 1>get a mood boost for a bigger period of the day.

0:14:07.840 --> 0:14:10.040
<v Speaker 1>Exercise later in the day you might sleep through some

0:14:10.080 --> 0:14:12.760
<v Speaker 1>of that mood boost. There's some good evidence showing that

0:14:13.040 --> 0:14:15.360
<v Speaker 1>morning exercise makes us slightly more likely to stick to

0:14:15.400 --> 0:14:18.440
<v Speaker 1>the routine and to stopster and levels actually peak in

0:14:18.440 --> 0:14:21.360
<v Speaker 1>the morning. If you're doing some strength based training, mornings

0:14:21.400 --> 0:14:23.680
<v Speaker 1>can be good for that. On the other hand, afternoon

0:14:23.760 --> 0:14:27.040
<v Speaker 1>late afternoon is good for other types of things. So

0:14:27.400 --> 0:14:30.920
<v Speaker 1>one of the big things that affects our physiology over

0:14:30.960 --> 0:14:33.040
<v Speaker 1>the course of the day is a change in body temperature,

0:14:33.040 --> 0:14:36.040
<v Speaker 1>believe it or not. And when our body temperature tends

0:14:36.040 --> 0:14:38.120
<v Speaker 1>to rise to its highest point in the late afternoon

0:14:38.120 --> 0:14:42.240
<v Speaker 1>in early evening UM, that makes our muscles warmer and

0:14:42.280 --> 0:14:44.640
<v Speaker 1>so we're more likely to avoid injury. So if you're

0:14:44.760 --> 0:14:47.880
<v Speaker 1>prone to injury, you're concerned about injury, afternoon exercise is better.

0:14:48.520 --> 0:14:51.480
<v Speaker 1>There's some really intriguing evidence showing that you might actually

0:14:52.080 --> 0:14:55.680
<v Speaker 1>perform at a higher level during afternoon and early evening

0:14:55.680 --> 0:14:59.960
<v Speaker 1>activity UM because mine function is the highest, your strength

0:15:00.080 --> 0:15:03.320
<v Speaker 1>is higher, your reaction time is higher. There's some very

0:15:03.320 --> 0:15:07.840
<v Speaker 1>intriguing evidence about athletic records, particularly in speed events, disproportionately

0:15:07.840 --> 0:15:12.240
<v Speaker 1>being broken at between about four and seven local time.

0:15:12.760 --> 0:15:16.560
<v Speaker 1>Really fascinating, and it's all about our you know, basically

0:15:16.560 --> 0:15:19.480
<v Speaker 1>about a bye temperature is also again this is related

0:15:19.640 --> 0:15:21.840
<v Speaker 1>up and this has actually ended up sealing the deal

0:15:21.880 --> 0:15:25.320
<v Speaker 1>for me is that because we're doing a little bit better,

0:15:25.360 --> 0:15:27.280
<v Speaker 1>we're you know, our our lung function is a little

0:15:27.280 --> 0:15:30.800
<v Speaker 1>bit higher muscles are warmer, we're not risking exercise, we're

0:15:30.840 --> 0:15:35.040
<v Speaker 1>not risking injury as much. That people tend to um

0:15:35.160 --> 0:15:37.640
<v Speaker 1>enjoy the workouts a little bit more in the afternoon,

0:15:37.680 --> 0:15:39.800
<v Speaker 1>even if they're doing the exact same thing in the morning,

0:15:40.360 --> 0:15:45.000
<v Speaker 1>they feel a little less taxing UM. And so for me,

0:15:45.200 --> 0:15:49.120
<v Speaker 1>I am an uh an afternoon early evening exerciser, and

0:15:49.160 --> 0:15:51.000
<v Speaker 1>I think it's for that last reason. When I when

0:15:51.000 --> 0:15:53.760
<v Speaker 1>I go do exercise in the morning, I hate it.

0:15:53.760 --> 0:15:56.040
<v Speaker 1>It feels like it feels like torture. When I do

0:15:56.080 --> 0:15:58.760
<v Speaker 1>it in the afternoon, I actually enjoyed a little bit more.

0:15:58.880 --> 0:16:01.120
<v Speaker 1>And so if I were trying to lose a lot

0:16:01.120 --> 0:16:03.400
<v Speaker 1>of weight, I might change I might change things. But

0:16:03.760 --> 0:16:07.360
<v Speaker 1>I exercise just so I don't go crazy. And so afternoon, um,

0:16:07.520 --> 0:16:10.200
<v Speaker 1>afternoon works for me. And I think it's because of

0:16:10.600 --> 0:16:13.280
<v Speaker 1>just that my body has warmed up. I'm performing a

0:16:13.320 --> 0:16:15.880
<v Speaker 1>little bit of higher level and it's just it's less

0:16:15.920 --> 0:16:19.080
<v Speaker 1>unpleasant than it is in the mornings. Yeah. Well, back

0:16:19.120 --> 0:16:21.800
<v Speaker 1>to the idea of productivity and things that we can

0:16:21.800 --> 0:16:24.800
<v Speaker 1>do to to be more productive. You talk about, you know,

0:16:24.880 --> 0:16:29.720
<v Speaker 1>the importance of or the value of of napping, can you,

0:16:29.920 --> 0:16:31.800
<v Speaker 1>And I think we we've we've heard that before, but

0:16:31.880 --> 0:16:33.720
<v Speaker 1>can you talk a little bit about, you know, what

0:16:33.760 --> 0:16:37.560
<v Speaker 1>the ideal nap is and what we're looking for in

0:16:37.600 --> 0:16:40.640
<v Speaker 1>that and and trying to be more productive. Yeah, the

0:16:40.680 --> 0:16:42.880
<v Speaker 1>ideal nap is a less shorter than I ever realized

0:16:43.640 --> 0:16:45.800
<v Speaker 1>I was. You know, I'm not. I haven't been a

0:16:45.800 --> 0:16:47.880
<v Speaker 1>big napper. And the reason is that when I woke

0:16:47.920 --> 0:16:49.960
<v Speaker 1>up from a nap, I felt, I felt terrible. I

0:16:50.000 --> 0:16:54.360
<v Speaker 1>felt you know, groggy and cobwebs in my head. Um.

0:16:54.480 --> 0:16:57.320
<v Speaker 1>And what I discovered essentially is that I was doing

0:16:57.360 --> 0:17:00.600
<v Speaker 1>it wrong. That the ideal nap is is very very

0:17:00.640 --> 0:17:03.000
<v Speaker 1>short maybe you know, usually no more than twenty minutes

0:17:03.120 --> 0:17:06.840
<v Speaker 1>or so. Um. And what happens if we knap longer

0:17:06.880 --> 0:17:08.680
<v Speaker 1>than that is that we begin to accumulate what's called

0:17:08.720 --> 0:17:12.280
<v Speaker 1>sleep inertia. That's that boggy, groggy feeling that we have,

0:17:12.960 --> 0:17:14.800
<v Speaker 1>and it takes us some time to dig out of

0:17:14.840 --> 0:17:16.840
<v Speaker 1>that to get the benefits of the nap. So you

0:17:16.880 --> 0:17:19.919
<v Speaker 1>basically start with a deficit and then have to climb

0:17:19.920 --> 0:17:22.159
<v Speaker 1>out of the deficit. If you have a nap of

0:17:22.160 --> 0:17:23.600
<v Speaker 1>twenty minutes or so, you get a lot of the

0:17:23.600 --> 0:17:26.760
<v Speaker 1>benefit without any of the deficit. And so the super

0:17:26.760 --> 0:17:30.320
<v Speaker 1>short naps literally between ten and twenty minutes, seemed to

0:17:30.320 --> 0:17:33.680
<v Speaker 1>be the maximum bank for the buck when it comes

0:17:33.680 --> 0:17:37.439
<v Speaker 1>to napping, which I I love because I'm from a

0:17:37.480 --> 0:17:44.080
<v Speaker 1>sistic culture. Yeah, but you know, there's something to be

0:17:44.119 --> 0:17:46.320
<v Speaker 1>said for you know. What's what's interesting is that in

0:17:46.359 --> 0:17:52.360
<v Speaker 1>the the blaze of westernization and American style capitalism, we've

0:17:52.400 --> 0:17:55.520
<v Speaker 1>obliterated cs IS, when in fact, there's actually some pretty

0:17:55.520 --> 0:18:00.199
<v Speaker 1>good scientific evidence for restoring some kind of modern the Yes,

0:18:00.359 --> 0:18:03.520
<v Speaker 1>I mean, I'm not talking about taking three hours um

0:18:03.640 --> 0:18:07.960
<v Speaker 1>for lunch every single day, but basically taking breaks and

0:18:08.400 --> 0:18:13.280
<v Speaker 1>pauses much more seriously than we take them. Right now. Well, uh,

0:18:13.359 --> 0:18:15.720
<v Speaker 1>one of the things, because I'm so focused on mornings now,

0:18:16.280 --> 0:18:19.360
<v Speaker 1>I want to ask about is breakfast and how important

0:18:19.359 --> 0:18:22.359
<v Speaker 1>it really is and where meals play a role in

0:18:22.359 --> 0:18:25.800
<v Speaker 1>in uh, you know, having the most productive days. Um,

0:18:25.960 --> 0:18:27.720
<v Speaker 1>is breakfast is important? I think the answer from the

0:18:27.760 --> 0:18:33.320
<v Speaker 1>research is a clear and conclusive maybe, um, some of

0:18:33.359 --> 0:18:35.919
<v Speaker 1>the some of the and this has to do with

0:18:35.920 --> 0:18:39.040
<v Speaker 1>some of the methodologies, which are observational studies rather than

0:18:39.119 --> 0:18:42.760
<v Speaker 1>randomized control experiences. So you know, these observational studies found

0:18:42.760 --> 0:18:44.760
<v Speaker 1>that people who breakfast are healthy but we don't know

0:18:44.800 --> 0:18:47.000
<v Speaker 1>whether breakfast is causing their healthiness. It could just be

0:18:47.040 --> 0:18:50.040
<v Speaker 1>the healthy people like the breakfast, um, people who are

0:18:50.040 --> 0:18:53.600
<v Speaker 1>already healthy, or eating breakfast and has no causal effect, etcetera, etcetera.

0:18:53.760 --> 0:18:56.439
<v Speaker 1>Some of these pro breakfast studies are actually funded by

0:18:56.440 --> 0:18:58.840
<v Speaker 1>cereal companies, so that should make us raise our eyebrows

0:18:58.840 --> 0:19:02.200
<v Speaker 1>a little bit. In terms of time of day and eating,

0:19:02.520 --> 0:19:05.320
<v Speaker 1>there's some very interesting research, pretty new stuff right now

0:19:05.400 --> 0:19:08.879
<v Speaker 1>on what's called time restricted feeding. The showing that you

0:19:08.880 --> 0:19:11.879
<v Speaker 1>could you might be able to get a certain greater

0:19:11.960 --> 0:19:15.440
<v Speaker 1>weight loss if you restrict you're eating to a certain

0:19:15.800 --> 0:19:19.880
<v Speaker 1>ten or twelve hour period um, and that weight gain

0:19:19.960 --> 0:19:23.399
<v Speaker 1>could be a factor in weight gain, could be eating

0:19:23.480 --> 0:19:27.119
<v Speaker 1>too late in the day. Um, that's it's it's as

0:19:27.160 --> 0:19:29.560
<v Speaker 1>early stages now. It's pretty intriguing. I actually looked at

0:19:29.600 --> 0:19:32.600
<v Speaker 1>some of the research on lunch and it turns out

0:19:32.600 --> 0:19:35.119
<v Speaker 1>that lunch is a pretty powerful Again here I'm not

0:19:35.119 --> 0:19:38.840
<v Speaker 1>talking about physiology, I'm talking about psychology. The lunch ends

0:19:38.880 --> 0:19:41.639
<v Speaker 1>up being a pretty powerful restorative for us, much more

0:19:41.680 --> 0:19:44.679
<v Speaker 1>than I would have expected. There's a very strong argument

0:19:44.680 --> 0:19:47.359
<v Speaker 1>in the research for taking a lunch break. Uh, you know,

0:19:47.400 --> 0:19:50.760
<v Speaker 1>not just having a tune of salad sandwich dripping onto

0:19:50.800 --> 0:19:55.280
<v Speaker 1>your computer while you're trying to answer you know, but

0:19:55.280 --> 0:19:57.600
<v Speaker 1>but but but you know, being intentional and taking a

0:19:57.680 --> 0:19:59.560
<v Speaker 1>lunch break. It doesn't have to be massive, you know,

0:20:00.160 --> 0:20:04.480
<v Speaker 1>taking half an hour and going outside and you know,

0:20:04.480 --> 0:20:06.360
<v Speaker 1>if the weather is right, you know, eating a sandwich

0:20:06.400 --> 0:20:09.760
<v Speaker 1>on a bench and not working. Um, the evidence is

0:20:09.800 --> 0:20:12.960
<v Speaker 1>showing that that is where stories are. Energy can boost

0:20:13.000 --> 0:20:18.080
<v Speaker 1>our mood, can actually improve our productivity and creativity. And

0:20:18.200 --> 0:20:21.600
<v Speaker 1>the larger point here is that this is something where

0:20:21.600 --> 0:20:25.160
<v Speaker 1>I've changed my own behavior, is that just in general,

0:20:25.640 --> 0:20:30.640
<v Speaker 1>we haven't taken breaks seriously enough. Um. We have thought

0:20:30.720 --> 0:20:37.080
<v Speaker 1>of breaks as you know, soft or deviations from performance.

0:20:37.600 --> 0:20:41.240
<v Speaker 1>I am as guilty as anybody about this. I I've

0:20:41.280 --> 0:20:43.359
<v Speaker 1>never been a big break taker. I've always thought it

0:20:43.400 --> 0:20:46.360
<v Speaker 1>was better just to power through. And it's actually not,

0:20:46.960 --> 0:20:49.520
<v Speaker 1>um that that breaks all. We have to start thinking

0:20:49.560 --> 0:20:53.120
<v Speaker 1>of breaks as not a deviation from performance, but actually

0:20:53.160 --> 0:20:56.919
<v Speaker 1>part of performance and recognize that part of being a

0:20:56.960 --> 0:20:59.320
<v Speaker 1>professional means taking a break every once in a while.

0:20:59.640 --> 0:21:01.439
<v Speaker 1>So when I was reading the book, one thing I

0:21:01.480 --> 0:21:03.399
<v Speaker 1>wasn't clear about, and I was just curious, from your

0:21:03.440 --> 0:21:06.679
<v Speaker 1>own perspective, where does social media plan to that, Like

0:21:06.680 --> 0:21:08.679
<v Speaker 1>when you're on a break and eating a sandwich on

0:21:08.760 --> 0:21:13.320
<v Speaker 1>a you know, in nature at a park. How how

0:21:13.359 --> 0:21:17.439
<v Speaker 1>does like looking at your phone influence that? The real answers.

0:21:17.440 --> 0:21:19.320
<v Speaker 1>It depends, So it depends on what you're looking at

0:21:19.320 --> 0:21:22.359
<v Speaker 1>in your phone. In general, though, what the research shows

0:21:22.560 --> 0:21:26.000
<v Speaker 1>is that the best breaks you're fully detached, particularly from work.

0:21:26.280 --> 0:21:28.119
<v Speaker 1>So social media is a big part of your work.

0:21:28.359 --> 0:21:30.320
<v Speaker 1>If you're looking at things, oh, what are they saying

0:21:30.320 --> 0:21:33.480
<v Speaker 1>about my product or um, you know what's in the news,

0:21:33.560 --> 0:21:35.879
<v Speaker 1>and that it's going to affect my business, then it's

0:21:35.880 --> 0:21:37.880
<v Speaker 1>actually not that great of an idea. There's a lot

0:21:37.960 --> 0:21:41.840
<v Speaker 1>to be said for full detachment as breaks rather than

0:21:41.880 --> 0:21:44.480
<v Speaker 1>semi detachment. So so for me, for instance, I've changed

0:21:44.480 --> 0:21:46.560
<v Speaker 1>my ways on this is that when I have lunch,

0:21:47.119 --> 0:21:52.080
<v Speaker 1>I will literally not bring my phone, um, you know,

0:21:52.200 --> 0:21:53.960
<v Speaker 1>just you know, I don't take a long lunch break

0:21:54.000 --> 0:21:57.240
<v Speaker 1>at all, maybe five minutes, but I will leave my

0:21:57.240 --> 0:22:00.280
<v Speaker 1>phone in my office and so so I don't risk

0:22:00.400 --> 0:22:04.480
<v Speaker 1>being semi detached. Um. On the other hand, believe it

0:22:04.560 --> 0:22:07.680
<v Speaker 1>or not, and it's gonna sound crazy, but um, if

0:22:07.680 --> 0:22:12.080
<v Speaker 1>you're using social media and as a form of detachment,

0:22:12.840 --> 0:22:15.680
<v Speaker 1>that is, you're looking at hilarious of videos or something

0:22:15.760 --> 0:22:17.600
<v Speaker 1>like that, I have nothing to do with your work,

0:22:18.200 --> 0:22:20.080
<v Speaker 1>then it's not the worst thing in the world to

0:22:20.680 --> 0:22:23.280
<v Speaker 1>have that kind of a break. There's actually some evidence,

0:22:23.320 --> 0:22:25.040
<v Speaker 1>I mean, believe it or not, there's some evidence that

0:22:25.280 --> 0:22:28.000
<v Speaker 1>people who take breaks watching it's gonna sound like it's

0:22:28.080 --> 0:22:30.560
<v Speaker 1>made up, It's totally not made up. People who take

0:22:30.600 --> 0:22:35.000
<v Speaker 1>breaks and watch dog videos during their breaks end up

0:22:35.080 --> 0:22:36.960
<v Speaker 1>coming back from the breaks a little bit more restored.

0:22:37.560 --> 0:22:40.080
<v Speaker 1>So that's probably not true for people who run kennels.

0:22:40.400 --> 0:22:42.720
<v Speaker 1>So it really depends on, you know, how you're using

0:22:42.760 --> 0:22:46.840
<v Speaker 1>social media. I find it, well, social media is very complicated,

0:22:46.800 --> 0:22:49.720
<v Speaker 1>and I'm squarely in the middle. I don't consider it,

0:22:50.119 --> 0:22:52.639
<v Speaker 1>you know, the devil's technology in order. I consider it

0:22:52.720 --> 0:22:55.040
<v Speaker 1>the you know, the panacea for all that ails the world.

0:22:55.359 --> 0:22:57.760
<v Speaker 1>It's obviously somewhere in the middle of that. What I

0:22:57.800 --> 0:23:00.560
<v Speaker 1>have found personally, and again this is just a complete

0:23:00.960 --> 0:23:04.240
<v Speaker 1>personal experience and observation, not based on any research or

0:23:04.280 --> 0:23:08.880
<v Speaker 1>anything like that. I find that Twitter raises my stress level,

0:23:09.520 --> 0:23:13.080
<v Speaker 1>uh increases my cortisol level because on Twitter it seems

0:23:13.119 --> 0:23:17.040
<v Speaker 1>like everybody's always complaining about something or becoming alarmed by

0:23:17.080 --> 0:23:22.040
<v Speaker 1>something or yelling at somebody. So for that I find

0:23:22.080 --> 0:23:24.760
<v Speaker 1>it's not that for me personally, it's not that useful. Yeah,

0:23:24.920 --> 0:23:27.080
<v Speaker 1>that makes a lot of sense. I know. We have

0:23:27.119 --> 0:23:29.480
<v Speaker 1>a few other big questions for you, Daniel. Before we

0:23:29.480 --> 0:23:44.360
<v Speaker 1>get to those, let's take a quick break. Welcome back

0:23:44.359 --> 0:23:46.639
<v Speaker 1>to Part Time Genius. We're talking to Daniel Pink, the

0:23:46.680 --> 0:23:50.760
<v Speaker 1>author of When the Scientific Secrets of Perfect Timing and Daniel,

0:23:50.920 --> 0:23:53.919
<v Speaker 1>before you came on, Mango and I were actually talking

0:23:53.960 --> 0:23:56.040
<v Speaker 1>about some of the studies that were done around the

0:23:56.040 --> 0:24:00.560
<v Speaker 1>game of basketball and that fact about being behind at

0:24:00.600 --> 0:24:04.920
<v Speaker 1>the half is actually more advantageous than being ahead by

0:24:04.920 --> 0:24:07.600
<v Speaker 1>a point. And so well, why is this and and

0:24:07.600 --> 0:24:09.480
<v Speaker 1>and and what does this mean for us in other

0:24:09.520 --> 0:24:12.840
<v Speaker 1>areas of our lives. Yeah, I love that piece of research.

0:24:12.880 --> 0:24:16.880
<v Speaker 1>And again it's another um one of those insights that

0:24:17.000 --> 0:24:20.920
<v Speaker 1>scholars have been able to uncover using big data. That

0:24:21.040 --> 0:24:23.560
<v Speaker 1>particular piece of research, I think it was somewhere around

0:24:23.600 --> 0:24:26.680
<v Speaker 1>eighteen thousand NBA games. Just to take a step back,

0:24:26.720 --> 0:24:30.440
<v Speaker 1>I mean, one of the things it's important to understand

0:24:30.680 --> 0:24:34.520
<v Speaker 1>is how bizarre this finding is, because in general, a

0:24:34.560 --> 0:24:38.840
<v Speaker 1>team that's ahead at halftime has a better chance of winning. Now,

0:24:40.119 --> 0:24:44.360
<v Speaker 1>that shouldn't be a shocker, okay, because they have more points, right,

0:24:45.440 --> 0:24:48.199
<v Speaker 1>you know, they already have more points, right, and the

0:24:48.280 --> 0:24:50.520
<v Speaker 1>game's half over all, right, and they have a lead,

0:24:51.119 --> 0:24:53.760
<v Speaker 1>so you know, mathematically it's not that complicated. The other

0:24:53.760 --> 0:24:56.040
<v Speaker 1>thing is is that their halftime lead could be a

0:24:56.080 --> 0:24:58.879
<v Speaker 1>proxy that they hate they have better players, or they

0:24:58.880 --> 0:25:01.600
<v Speaker 1>have a better coach or something like that. What's interesting

0:25:01.680 --> 0:25:03.639
<v Speaker 1>is is, you, guys, point out is the exception to that,

0:25:03.680 --> 0:25:06.120
<v Speaker 1>which is the teams that are down by one are

0:25:06.240 --> 0:25:08.760
<v Speaker 1>more likely to win? Why is that? And it goes

0:25:08.840 --> 0:25:12.879
<v Speaker 1>to some of the science of midpoints. Um. Midpoints have

0:25:13.000 --> 0:25:15.080
<v Speaker 1>two effects on our behavior. They either bring us down

0:25:15.119 --> 0:25:17.160
<v Speaker 1>or they fire us up. And one of the cases

0:25:17.160 --> 0:25:20.360
<v Speaker 1>where midpoints fire us up is that if we're slightly behind.

0:25:20.760 --> 0:25:23.639
<v Speaker 1>There's something about being slightly behind at the midpoint that

0:25:23.760 --> 0:25:26.920
<v Speaker 1>is galvanizing. Now because if you're if you're way ahead

0:25:26.920 --> 0:25:30.160
<v Speaker 1>at the midpoint, you can become complacent. If you're way behind,

0:25:30.920 --> 0:25:33.479
<v Speaker 1>you say okay, it's over, it's you know, you give up.

0:25:33.880 --> 0:25:37.159
<v Speaker 1>But both in terms of the research on basketball games

0:25:37.320 --> 0:25:40.080
<v Speaker 1>and also some experimental research, which is a better way

0:25:40.119 --> 0:25:44.120
<v Speaker 1>to get at causation is showing that when people feel

0:25:44.119 --> 0:25:46.920
<v Speaker 1>like they're slightly behind at the midpoint, they work a

0:25:47.000 --> 0:25:49.960
<v Speaker 1>little harder. And one of the things that you can do,

0:25:50.200 --> 0:25:52.000
<v Speaker 1>and you know you can at some level. You can

0:25:52.040 --> 0:25:53.840
<v Speaker 1>trick yourself, you can trick your team, or it can

0:25:53.920 --> 0:25:56.720
<v Speaker 1>be the actual honest account of what's going on. I

0:25:56.800 --> 0:25:58.800
<v Speaker 1>do this all the time, is like, Okay, I'm at

0:25:58.800 --> 0:26:00.640
<v Speaker 1>the midpoint of something, I'm slightly find I gotta get

0:26:00.680 --> 0:26:03.040
<v Speaker 1>my button gear. Um. And so, if you're managing a

0:26:03.119 --> 0:26:06.840
<v Speaker 1>project and you're hit the midpoint, team, hey we're doing

0:26:06.840 --> 0:26:10.240
<v Speaker 1>pretty well, but we're a little bit behind. That's really galvanizing.

0:26:11.320 --> 0:26:15.000
<v Speaker 1>That's that's pretty fascinating. So and so is that represented

0:26:15.000 --> 0:26:17.440
<v Speaker 1>in why people do so many marathons at like twenty

0:26:17.520 --> 0:26:19.639
<v Speaker 1>nine or thirty nine in those nine years. That's a

0:26:19.680 --> 0:26:22.080
<v Speaker 1>different phenomenon that has to do with endings. You know,

0:26:22.119 --> 0:26:25.399
<v Speaker 1>as you point out people who run merit first time marathons,

0:26:25.840 --> 0:26:30.639
<v Speaker 1>their age is disproportionately ends and nine, say, forty nine

0:26:30.680 --> 0:26:32.320
<v Speaker 1>year olds or three times more likely to run a

0:26:32.320 --> 0:26:35.879
<v Speaker 1>marath first time marathon than fifty year olds. That's crazy.

0:26:36.240 --> 0:26:38.040
<v Speaker 1>Twenty nine year olds or twice as likely to run

0:26:38.080 --> 0:26:39.720
<v Speaker 1>a first time marathon is twenty eight year olds or

0:26:39.760 --> 0:26:42.600
<v Speaker 1>thirty year olds a right, it makes no sense physiologically.

0:26:42.600 --> 0:26:43.879
<v Speaker 1>What what's happening is that when we get to the

0:26:44.000 --> 0:26:48.000
<v Speaker 1>end of something, endings also have a galonizing effect. So

0:26:48.040 --> 0:26:49.840
<v Speaker 1>when we can see the end, we sometimes kick a

0:26:49.840 --> 0:26:53.000
<v Speaker 1>little harder. And that's particularly true when it comes to

0:26:53.080 --> 0:26:57.400
<v Speaker 1>things that are sources of meaning. Um So people have

0:26:57.880 --> 0:27:01.000
<v Speaker 1>bucket lists, and people have things they want to accomplish

0:27:01.000 --> 0:27:04.240
<v Speaker 1>in their lives, and people have these these purely arbitrary

0:27:04.320 --> 0:27:07.679
<v Speaker 1>markers of decades. They say, Oh, my gosh, time is

0:27:07.680 --> 0:27:09.680
<v Speaker 1>moving fast. I gotta get going. I'm gonna to run

0:27:09.680 --> 0:27:13.480
<v Speaker 1>a marathon. That's pretty amazing. And that's why you're holding

0:27:13.480 --> 0:27:15.879
<v Speaker 1>off MAGO. You're thirty eight now and next year is

0:27:15.920 --> 0:27:19.600
<v Speaker 1>you're big here. So ten years from now, start training,

0:27:19.680 --> 0:27:23.359
<v Speaker 1>start training. So I know. One thing I was curious

0:27:23.359 --> 0:27:27.040
<v Speaker 1>about is, uh, what's the best time to deliver bad news?

0:27:27.040 --> 0:27:30.320
<v Speaker 1>Do you have any thoughts on that The best time

0:27:30.359 --> 0:27:35.040
<v Speaker 1>to deliver bad news? Well, I think the best the

0:27:35.280 --> 0:27:37.560
<v Speaker 1>best time, in the best way. The best time to

0:27:37.600 --> 0:27:41.520
<v Speaker 1>deliver bad news in general is when the recipient's mood

0:27:41.760 --> 0:27:45.159
<v Speaker 1>is higher that you know, more positive than negative. And

0:27:45.200 --> 0:27:47.119
<v Speaker 1>what we know in general for most people is that

0:27:47.600 --> 0:27:50.119
<v Speaker 1>their moods are slightly better in the mornings and in

0:27:50.119 --> 0:27:52.320
<v Speaker 1>the late afternoons in early evenings than in the afternoon.

0:27:52.840 --> 0:27:57.560
<v Speaker 1>So that is I think that's generally a good In general,

0:27:57.840 --> 0:27:59.480
<v Speaker 1>it's a good time to do it. In terms of

0:28:00.760 --> 0:28:04.000
<v Speaker 1>the classic formulation that everybody on the planet has used,

0:28:04.000 --> 0:28:05.719
<v Speaker 1>I've got some good news and some bad news, there

0:28:05.800 --> 0:28:08.120
<v Speaker 1>is a very clear answer. If you have good news

0:28:08.160 --> 0:28:11.560
<v Speaker 1>and bad news to deliver, always give the bad news first. Um.

0:28:11.600 --> 0:28:13.679
<v Speaker 1>And the reason for that is that people has to

0:28:13.680 --> 0:28:16.960
<v Speaker 1>do with the science of endings. People prefer endings that elevate.

0:28:17.040 --> 0:28:22.719
<v Speaker 1>They prefer rising sequences to declining sequences, and so um um.

0:28:22.720 --> 0:28:24.879
<v Speaker 1>And what's interesting about that. And this is again another

0:28:24.920 --> 0:28:27.600
<v Speaker 1>area where I've changed my own behavior. I used to

0:28:27.600 --> 0:28:30.000
<v Speaker 1>be Mr, Okay, got good news and bad news. Let

0:28:30.000 --> 0:28:31.760
<v Speaker 1>me give you the good news first, you know, try

0:28:31.760 --> 0:28:35.280
<v Speaker 1>to lay down that cushion. And but when you ask

0:28:35.359 --> 0:28:36.919
<v Speaker 1>people what do you want to hear first, the good

0:28:36.960 --> 0:28:38.760
<v Speaker 1>news or bad news? Four to five people say I

0:28:38.760 --> 0:28:41.040
<v Speaker 1>want the bad news first, and so you better off

0:28:41.040 --> 0:28:43.280
<v Speaker 1>to give you the bad news first, uh, and ending

0:28:43.280 --> 0:28:46.000
<v Speaker 1>with the good news. Um. Again, it has to do

0:28:46.040 --> 0:28:49.440
<v Speaker 1>with our preferences about endings that elevate rising sequences over

0:28:49.480 --> 0:28:52.040
<v Speaker 1>declining sequences. Well, and I like that you offer a

0:28:52.040 --> 0:28:54.360
<v Speaker 1>few tips on this, whether it's you know, how to

0:28:54.520 --> 0:28:57.920
<v Speaker 1>end vacations or how to end our work days. You know,

0:28:57.960 --> 0:29:01.240
<v Speaker 1>as you mentioned, people like an elevated ending. Can you

0:29:01.240 --> 0:29:02.760
<v Speaker 1>can you talk a little bit about some of these

0:29:02.800 --> 0:29:05.040
<v Speaker 1>suggestions that you've given in the book. I think the

0:29:05.040 --> 0:29:08.680
<v Speaker 1>most important thing is to be intentional about endings and

0:29:08.800 --> 0:29:12.720
<v Speaker 1>to recognize that they're the endings disproportionately affect how people

0:29:12.800 --> 0:29:16.640
<v Speaker 1>remember entire experiences. So if you look at something like

0:29:16.720 --> 0:29:20.160
<v Speaker 1>customer transactions, um, I think that businesses should be much

0:29:20.200 --> 0:29:25.760
<v Speaker 1>more uh, much more attention to how a purchase experience ends,

0:29:26.440 --> 0:29:30.440
<v Speaker 1>um um. So you can see this anecdotally and Yelp

0:29:30.480 --> 0:29:33.600
<v Speaker 1>reviews of restaurants. If you if you actually read the

0:29:33.640 --> 0:29:36.400
<v Speaker 1>help reviews of restaurants, you find that a disproportionate number

0:29:36.480 --> 0:29:39.920
<v Speaker 1>of these reviews talk about how the meal ended. You know,

0:29:40.240 --> 0:29:42.200
<v Speaker 1>they screw up the check and they were jerks about it.

0:29:42.280 --> 0:29:44.760
<v Speaker 1>They gave me a deserted and expect and that affects

0:29:44.760 --> 0:29:48.880
<v Speaker 1>their home. In terms of vacations, pick one of the

0:29:49.080 --> 0:29:50.200
<v Speaker 1>what do you think is gonna be one of the

0:29:50.240 --> 0:29:53.239
<v Speaker 1>best moments and put it towards the end. The end

0:29:53.280 --> 0:29:57.400
<v Speaker 1>of an experience disproportionately affects our memory of it. I've

0:29:57.400 --> 0:30:00.240
<v Speaker 1>got some great examples from teachers around the country about

0:30:00.280 --> 0:30:02.440
<v Speaker 1>how teachers have marked the end of a semester or

0:30:02.520 --> 0:30:05.440
<v Speaker 1>the end of a year. One one of my favorites

0:30:05.480 --> 0:30:08.000
<v Speaker 1>is this fellow who's an economics teacher at a high

0:30:08.040 --> 0:30:11.640
<v Speaker 1>school outside of Chicago, and what he does is that

0:30:11.760 --> 0:30:14.320
<v Speaker 1>at the end of people senior years, he has them

0:30:14.320 --> 0:30:16.720
<v Speaker 1>write a letter to themselves that he mails to them

0:30:16.760 --> 0:30:21.120
<v Speaker 1>five years later. It's an awesome thing. There's another college

0:30:21.160 --> 0:30:23.240
<v Speaker 1>teacher who at the end of a semester, she takes

0:30:23.240 --> 0:30:26.200
<v Speaker 1>her students out to a local pub and they make

0:30:26.240 --> 0:30:29.600
<v Speaker 1>toasts to each other. And so just being intentional about

0:30:29.720 --> 0:30:32.880
<v Speaker 1>endings and giving them a little bit of lift can

0:30:33.120 --> 0:30:37.400
<v Speaker 1>dramatically shape how people remember an entire year, long, semester,

0:30:37.480 --> 0:30:40.280
<v Speaker 1>long experience. That's really good, and you talk a little

0:30:40.280 --> 0:30:42.760
<v Speaker 1>bit about how we might end our work days. I

0:30:42.800 --> 0:30:45.960
<v Speaker 1>thought there were some great suggestions there as well. Sure,

0:30:46.000 --> 0:30:48.360
<v Speaker 1>I mean, you know, I again, I think it's a lot.

0:30:48.520 --> 0:30:50.760
<v Speaker 1>I think it's a lot about being intentional about how

0:30:50.760 --> 0:30:52.480
<v Speaker 1>we end our work day. So one of the things

0:30:52.480 --> 0:30:54.760
<v Speaker 1>that you can do at the one of the things

0:30:54.760 --> 0:30:56.360
<v Speaker 1>you can do at the very end of your work day,

0:30:56.400 --> 0:30:59.600
<v Speaker 1>and something that I do is that I actually mark

0:30:59.680 --> 0:31:03.560
<v Speaker 1>my progress. I actually use an app called I'd done

0:31:03.560 --> 0:31:05.600
<v Speaker 1>this that sends me an email at the end of

0:31:05.600 --> 0:31:07.160
<v Speaker 1>every day. It says what you get done today, and

0:31:07.200 --> 0:31:09.960
<v Speaker 1>I make sure the ritualize, Okay, here's what I got

0:31:10.000 --> 0:31:12.080
<v Speaker 1>done today, So I have a sense of progress, so

0:31:12.120 --> 0:31:15.200
<v Speaker 1>I mark that progress. Um. There's some great research from

0:31:15.360 --> 0:31:19.400
<v Speaker 1>Teresa Amabulae at Harvard Business School about how making progress

0:31:19.480 --> 0:31:22.240
<v Speaker 1>is the single largest day to day motivator on the job.

0:31:22.960 --> 0:31:24.920
<v Speaker 1>So that's one of the things that I myself do.

0:31:25.400 --> 0:31:27.520
<v Speaker 1>You can also do things like there's something about a

0:31:27.520 --> 0:31:30.240
<v Speaker 1>sense of completion. So one of the things I try

0:31:30.240 --> 0:31:31.440
<v Speaker 1>to do I don't always do a good job of

0:31:31.480 --> 0:31:35.640
<v Speaker 1>this is layout what I'm gonna do the following day,

0:31:35.720 --> 0:31:38.320
<v Speaker 1>so I have a sense of completion and I can

0:31:38.400 --> 0:31:40.360
<v Speaker 1>kind of close the door on the day, take a

0:31:40.400 --> 0:31:44.200
<v Speaker 1>break detached from work to the extent that's possible. Uh.

0:31:44.280 --> 0:31:45.640
<v Speaker 1>There are also things at the end of the day

0:31:45.640 --> 0:31:48.760
<v Speaker 1>as as mood boosters. One of the you know, it's

0:31:48.840 --> 0:31:51.040
<v Speaker 1>it's really remarkable the research I'm doing something good for

0:31:51.080 --> 0:31:54.280
<v Speaker 1>somebody else boosts our moods. It ends up being doing

0:31:54.280 --> 0:31:56.920
<v Speaker 1>something good for someone else can be a profoundly selfish

0:31:56.960 --> 0:32:00.600
<v Speaker 1>act in terms of its benefit to us. So you know,

0:32:00.640 --> 0:32:02.320
<v Speaker 1>maybe at the end of the day thank somebody you

0:32:02.360 --> 0:32:05.840
<v Speaker 1>hadn't thank before. But again, it's really about being aware

0:32:05.840 --> 0:32:08.920
<v Speaker 1>and being intentional, um and and these these small things

0:32:08.960 --> 0:32:11.719
<v Speaker 1>can make a big difference. Well, before we end here,

0:32:11.760 --> 0:32:13.440
<v Speaker 1>I did want to ask you a little bit about

0:32:13.920 --> 0:32:17.360
<v Speaker 1>the sinkers high and uh, the tips on sinking with

0:32:17.400 --> 0:32:19.720
<v Speaker 1>other people, because I really like that that in your book,

0:32:20.160 --> 0:32:22.440
<v Speaker 1>you can you talk a little bit about that, sure,

0:32:22.960 --> 0:32:25.520
<v Speaker 1>you know, I also have a chapter on how groups

0:32:25.520 --> 0:32:27.640
<v Speaker 1>synchronize in time, So whether they are people who are

0:32:27.680 --> 0:32:32.240
<v Speaker 1>delivering lunches, whether they're rowers, whether they're choral singers, and um,

0:32:32.280 --> 0:32:34.800
<v Speaker 1>there is something about synchronizing with other people in time

0:32:34.880 --> 0:32:37.840
<v Speaker 1>that makes us feel really, really good. There's some good

0:32:37.920 --> 0:32:41.040
<v Speaker 1>evidence on rowers High that that when we synchronize with

0:32:41.080 --> 0:32:45.160
<v Speaker 1>other people, actually are pain thresholds increase, our immune response

0:32:45.240 --> 0:32:49.400
<v Speaker 1>improves at a physiological level, we do better. There's some

0:32:49.720 --> 0:32:54.080
<v Speaker 1>incredible effects to our mood and even to our propensity

0:32:54.200 --> 0:32:57.640
<v Speaker 1>to do good. Deeds afterwards. So it's really quite fascinating.

0:32:57.640 --> 0:32:59.200
<v Speaker 1>I don't have a great explanation for it. I just

0:32:59.360 --> 0:33:01.680
<v Speaker 1>noted the phenomenon and some of the research behind it.

0:33:01.800 --> 0:33:05.240
<v Speaker 1>But there's something about synchronizing with other people in time,

0:33:05.320 --> 0:33:08.280
<v Speaker 1>like choral singing that makes us feel really, really good

0:33:08.320 --> 0:33:12.880
<v Speaker 1>that could be somehow evolutionarily programmed to feel good because

0:33:12.920 --> 0:33:16.600
<v Speaker 1>it has some kind of advantage to us. That's really interesting. Well,

0:33:16.640 --> 0:33:18.280
<v Speaker 1>as we said at the top of the show, this

0:33:18.400 --> 0:33:21.440
<v Speaker 1>is uh, it's interesting that's been We've gone this long

0:33:21.480 --> 0:33:25.080
<v Speaker 1>without really thinking about the win of all these questions.

0:33:25.080 --> 0:33:27.200
<v Speaker 1>As we've talked about before. You know, we've focused so

0:33:27.280 --> 0:33:30.000
<v Speaker 1>much on the how and the why. But this has

0:33:30.000 --> 0:33:32.800
<v Speaker 1>been so fascinating to learn these things and listeners, I

0:33:32.840 --> 0:33:35.640
<v Speaker 1>hope you'll check out this new book When The Scientific

0:33:35.680 --> 0:33:38.520
<v Speaker 1>Secrets of Perfect Timing. Daniel Pink thanks so much for

0:33:38.600 --> 0:33:40.880
<v Speaker 1>joining us today. Thanks to you guys both for a

0:33:40.880 --> 0:33:56.280
<v Speaker 1>great interview with a lot of fun. Thanks again for listening.

0:33:56.440 --> 0:33:58.640
<v Speaker 1>Part Time Genius is a production of how stuff works

0:33:58.640 --> 0:34:01.240
<v Speaker 1>and wouldn't be possible without everal brilliant people who do

0:34:01.280 --> 0:34:04.280
<v Speaker 1>the important things. We couldn't even begin to understand. Tristin

0:34:04.360 --> 0:34:06.960
<v Speaker 1>McNeil does the editing thing. Noel Brown made the theme

0:34:07.000 --> 0:34:09.840
<v Speaker 1>song and does the mixy mixy sound thing. Jerry Rowland

0:34:09.920 --> 0:34:13.200
<v Speaker 1>does the exact producer thing. Gave Loesier is our lead researcher,

0:34:13.239 --> 0:34:16.240
<v Speaker 1>with support from the Research Army including Austin Thompson, Nolan

0:34:16.280 --> 0:34:18.680
<v Speaker 1>Brown and Lucas Adams. Eve Jeff Cook gets the show

0:34:18.680 --> 0:34:20.920
<v Speaker 1>to your ears, Good job, Eaves. If you like what

0:34:20.960 --> 0:34:22.960
<v Speaker 1>you heard, we hope you'll subscribe, And if you really

0:34:23.000 --> 0:34:24.759
<v Speaker 1>really like what you've heard, maybe you could leave a

0:34:24.760 --> 0:34:27.920
<v Speaker 1>good review for us to get to Jason, who