How to find a wonderful idea | OK Go

TED
16 Jun 201717:36

Summary

TLDR在这段视频脚本中,OK Go乐队主唱Damian Kulash分享了他们如何构思出那些令人惊叹的音乐视频点子。他提到,他们感觉这些想法不是被“想出来”的,而是被“找到”的。Kulash描述了自己如何通过观察和玩味视角和视差来激发创意,就像他青少年时期在卧室里做的那样。他强调,要产生一个想法,需要在正确的时间和地点,将分散的元素对齐。OK Go乐队在制作音乐视频时,寻找的是一种“惊奇”的感觉,他们通过在各种“沙盒”环境中实验,比如利用视错觉、在移动表面上跳舞、使用激光切割机做吐司或在零重力飞机上进行拍摄,来探索和发现那些既令人惊讶又出人意料可靠的创意。这个过程不仅仅是测试,更多的是玩耍和探索,直到找到那些独一无二的组合,创造出前所未有的作品。

Takeaways

  • 🎵 OK Go乐队自1998年成立以来,以其精心制作的音乐视频而闻名,这些视频与他们的音乐作品同样受到关注。
  • 🎥 乐队的音乐视频不仅仅是鲁布·戈德堡机械装置,还包括在零重力中跳舞、在沙漠中用乐器设置障碍赛等创意。
  • 🤔 乐队主唱Damian Kulash认为,他们的创意视频想法更像是“发现”而非“思考”出来的,这与他个人的视觉游戏习惯有关。
  • 👀 Damian Kulash通过玩弄视角和视差,从日常生活中的杂乱无章中寻找创意灵感。
  • 🧩 创意产生的过程被比喻为拼图,需要找到正确的拼图片段来使整个作品完整。
  • 🌟 OK Go乐队在制作视频时,寻求的是“惊奇”感,他们寻找的不仅是好主意,还要是能以某种方式让我们感到惊讶的主意。
  • 📉 传统的创意实现过程存在缺陷,因为它倾向于排除那些可能同样可靠但尚未被证实的新奇想法。
  • 🔢 数学揭示了为什么依赖高可靠性的复杂项目会限制创新,因为即使是99%的可靠性,在多个组件中也可能导致失败。
  • 🎉 为了找到既新奇又可靠的创意,OK Go乐队会寻找一个“沙盒”环境,投入资源进行实验和探索。
  • 🚀 乐队通过实际体验和玩耍来代替传统的计划和测试,以期在混乱中找到独特的创意组合。
  • 🎉 在“沙盒”中,乐队尝试了各种想法,如光学幻觉、在移动表面上跳舞、使用激光切割机制作吐司,甚至在零重力飞机上进行拍摄。
  • 🎶 通过这种方式,乐队创作了《The One Moment》的音乐视频,其中使用了弹道学和数学来创造惊人的视觉效果。

Q & A

  • OK Go乐队的音乐视频中包含哪些特殊的元素?

    -OK Go乐队的音乐视频以其独特的创意而著称,例如使用多米诺骨牌效应、零重力舞蹈、通过特技驾驶汽车演奏音乐器材,以及在东京一个废弃停车场用无人机拍摄伞兵编舞。

  • 视频中提到的“这也将过去”这句话有什么象征意义?

    -这句话表达了一种乐观的生活态度,意味着不论当前面对何种困难,都应保持积极的心态,相信困境最终会过去。

  • 乐队是如何得到他们音乐视频中的创意想法的?

    -乐队成员Damian Kulash描述,创意想法更多是被发现而非创造出来的。他通过日常生活中的视角游戏,将不相关的元素组合在一起,从而触发创新的灵感。

  • 乐队在制作复杂音乐视频时面临的数学挑战是什么?

    -制作如Rube Goldberg机器这样的复杂视频时,需要确保每个环节的高可靠性。Damian Kulash用数学计算说明,即便是90%的可靠性也会导致成功率极低,几乎是百万分之一。

  • 为什么说在创意过程中寻找“惊喜”元素是一种挑战?

    -惊喜元素常常带来创新,但这些想法在规划阶段往往是未知的,难以评估其可行性和可靠性,这使得依靠传统的计划和执行流程来实现这些想法变得困难。

  • 乐队是如何克服创意过程中的挑战的?

    -乐队通过进入不同的“沙盒”(实验和探索的环境)来解决创意问题,如在零重力飞机中实验,或用激光切割机制作吐司,这样的环境有助于揭示那些不仅令人惊讶而且可靠的想法。

  • Damian Kulash如何描述他在想法形成过程中的个人经验?

    -他通过与日常物品进行视觉游戏,比如调整视角使物体与环境产生新的对齐方式,这种方法激发了他对创意的探索,使他能够“找到”而非“创造”想法。

  • 乐队提到了哪些特别的音乐视频拍摄地点和道具?

    -他们在东京外的废弃停车场用伞编舞,使用无人机拍摄,并在沙漠中设置了一个由数千个乐器组成的障碍课程,通过特技驾驶汽车演奏这些乐器。

  • 如何理解Damian Kulash所说的“从高中卧室到创意工作室的转变”?

    -他强调这种转变是他个人和创作过程的自然演变,通过不断试验和探索,他从玩具和小装置开始,逐步发展到创建大规模的音乐视频项目。

Outlines

00:00

🎵 OK Go乐队的音乐与创意视频

OK Go乐队自1998年成立以来,不仅以其音乐作品著称,更以其精心制作的MV闻名。乐队成员Damian Kulash在视频中感谢观众,并分享了乐队如何构思那些充满创意的音乐视频。他提到,乐队的视频并非全部是鲁布·戈德堡机械装置,而是包括在零重力中跳舞、在沙漠中用乐器设置障碍赛等多样化的创意。这些视频背后的构思过程,对乐队来说更像是“发现”创意,而非“思考”出来。

05:00

🔍 创意的发现过程

Damian Kulash描述了他个人的一个习惯,即不断地玩弄视角和视差,这种习惯可以追溯到他青少年时期装饰的卧室。他通过移动头部或伸出拇指,尝试将房间中不同的视觉元素对齐。这个过程对他来说就像是发现创意的过程,即将分散的元素在正确的时间和地点对齐。他强调,创意的产生需要观察、接受和正确的位置。他还提到,制作视频时,他们寻找的是能带来惊喜和惊奇感的好点子,这通常意味着要寻找那些能够以某种方式出乎我们意料之外的创意。

10:01

📉 规划与创意的可靠性

Damian 讨论了规划过程中对创意的限制,尤其是当项目非常复杂且有很多移动部件时。他用数学来说明即使是90%或99%的可靠性,在多次交互中也会导致极低的成功率。因此,为了找到既令人惊喜又可靠的创意,OK Go乐队会寻找一个“沙盒”环境,投入资源去探索和玩耍,以期发现那些未被尝试过但却出奇可靠的创意。他们尝试过的各种“沙盒”包括光学幻觉、在移动表面上跳舞、使用激光切割机制作烤面包,甚至是在零重力飞机上进行实验。

15:04

💥 'The One Moment' 音乐视频的创作

在最后一个段落中,Damian 分享了他们为歌曲 'The One Moment' 制作音乐视频的过程。这次,他们选择的“沙盒”是弹道学和数学。他花费了一个月的时间构建了一个巨大的电子表格,以此来作为他们的“游乐场”。视频中的爆炸场景是真实的,并且整个爆炸过程仅用了4.2秒。这首歌的歌词强调了生命中重要时刻的价值,以及我们如何记住和珍惜这些瞬间。

Mindmap

Keywords

💡多米诺效应

多米诺效应是指在一个相互联系的系统中,一个很小的初始事件能触发一系列连锁反应。在视频中,多米诺骨牌的倒下象征着一系列创意和行动的开始,展示了乐队OK Go音乐视频的创意过程,即如何从一个小想法引发出整个音乐视频的复杂制作。

💡鲁布·戈德堡机械

鲁布·戈德堡机械是一种设计复杂但效率低下的机械装置,通常用于完成一些简单的任务。视频中提到乐队OK Go的音乐视频并非全部是鲁布·戈德堡机械,但确实有类似的创意,如设置复杂的机械装置来制作音乐视频,这体现了他们对创意和惊喜的追求。

💡创意过程

创意过程是指从灵感产生到想法实现的一系列步骤。视频中,乐队主唱Damian Kulash描述了他们的创意过程,强调了他们是如何“发现”而非“思考”出创意的。这与视频中展示的音乐视频制作过程相呼应,强调了创意的自然涌现和发现的过程。

💡零重力舞蹈

零重力舞蹈是指在失重环境下进行的舞蹈。视频中提到乐队OK Go曾经在零重力环境下进行舞蹈拍摄,这不仅体现了他们对创意的追求,也展示了他们愿意尝试和探索新的表现手法。

💡障碍赛

障碍赛是一种通过设置障碍来增加挑战性的竞赛。在视频中,乐队OK Go提到他们曾经用数千件乐器设置障碍赛,并用特技驾驶汽车穿过它们来制作音乐视频,这展示了他们对创意实现的大胆尝试和对细节的精细打磨。

💡视觉错觉

视觉错觉是指眼睛对图像的感知与实际情况不符的现象。视频中提到乐队尝试使用视觉错觉来制作音乐视频,这表明他们愿意利用观众的视觉感知特点来创造惊喜和新奇的观看体验。

💡可靠性

可靠性是指一个系统或部件在规定条件下和规定时间内能成功执行其所要求的功能的概率。视频中通过数学计算展示了即使是90%或99%的可靠性,在复杂系统中也可能导致极低的成功几率,这强调了在创意实现过程中对可靠性的考量和挑战。

💡规划偏见

规划偏见是指人们在规划过程中倾向于低估完成任务所需的时间和资源。视频中通过数学例子说明了规划偏见如何影响创意项目的成功率,指出了在创意过程中对计划和执行的过度依赖可能导致创新的缺失。

💡玩乐

玩乐是指以娱乐和探索为目的的活动。视频中乐队OK Go强调了在创意过程中玩乐的重要性,他们通过在特定的“沙盒”环境中玩乐和实验,来发现和验证创意,这体现了玩乐在激发创意中的重要作用。

💡球类运动

球类运动是指使用球进行的各种体育活动。视频中提到了玩具车和球滚动的场景,这些元素可能象征着创意过程中的动态变化和运动,也可能隐喻了乐队音乐视频中的运动和节奏。

💡音乐

音乐是视频中的核心元素,它不仅构成了视频的背景音乐,也是乐队OK Go表达创意和情感的媒介。视频中提到的歌曲《This Too Shall Pass》和《The One Moment》通过音乐传达了积极向上和把握当下的信息,与视频的主题和情感紧密相连。

Highlights

OK Go乐队自1998年成立以来,以其精心制作的音乐视频而闻名。

乐队的音乐视频通常包含复杂的机械装置和创意,如零重力舞蹈和乐器障碍赛。

主唱Damian Kulash分享了他如何通过视觉错觉和视角游戏激发创意。

Kulash描述了创意产生的过程,感觉像是“发现”而非“思考”出来的。

乐队在制作音乐视频时,寻找能够带来“惊奇”感觉的创意。

传统的创意产生过程往往排斥出人意料的想法。

OK Go通过在“沙盒”环境中试验和玩耍,来发现既惊奇又可靠的创意。

乐队愿意投入大量资源,以探索和实现这些创意。

通过数学计算,Kulash说明了为何复杂的计划往往难以成功。

他们通过实际体验和实验,而非仅仅思考,来发现创意。

乐队在制作《The One Moment》音乐视频时,使用了弹道学和数学。

Kulash花费了一个月时间制作了一个巨大的电子表格来规划视频。

《The One Moment》的音乐视频展示了4.2秒内的真实爆炸。

视频中的爆炸场景经过了慢动作处理,以展示细节。

OK Go乐队的音乐和视频作品强调了创造过程中的实验和发现。

乐队鼓励观众开放思维,接受并探索新的想法。

《The One Moment》的歌词强调了生命中重要时刻的价值和意义。

OK Go通过他们的作品传达了对时间和机会的珍视。

Transcripts

00:21

(Dominoes fall)

00:27

(Toy car)

00:28

(Ball rolls)

00:33

(Music: "This Too Shall Pass")

00:39

(Singing)

00:51

You know you can't keep letting it get you down,

00:54

and you can't keep dragging that dead weight around.

01:03

If there ain't all that much to lug around

01:06

better run like hell when you hit the ground

01:14

When the morning comes

01:20

When the morning comes

01:26

You can't stop these kids from dancing,

01:29

but why would you want to,

01:30

especially when you're already getting yours?

01:34

(Xylophone)

01:38

(Singing) 'Cause if your mind don't move and your knees don't bend,

01:41

well don't go blaming the kids again.

01:45

(Xylophone)

01:49

(Singing) When the morning comes

01:55

When the morning comes

02:01

When the morning comes

02:07

When the morning comes

02:10

When the morning comes

02:13

When the morning comes

02:18

(Xylophone)

02:24

(Singing) Let it go,

02:28

this too shall pass

02:36

Let it go,

02:40

this too shall pass

02:47

You know you can't keep letting it get you down,

02:51

you can't keep letting it get you down --

02:54

this too shall pass

02:59

If there ain't all that much to lug around,

03:03

you can't keep letting it get you down --

03:06

this too shall pass

03:10

When the morning comes --

03:12

you can't keep letting it get you down,

03:14

no you can't keep letting it

03:16

When the morning comes --

03:18

you can't keep letting it get you down,

03:20

no you can't keep letting it

03:22

When the morning comes --

03:24

you can't keep letting it get you down,

03:26

no you can't keep letting it

03:28

When the morning comes --

03:30

you can't keep letting it get you down,

03:32

no you can't keep letting it

03:34

When the morning comes

03:42

(Paint guns fire)

03:43

(Applause)

03:52

Damian Kulash: Thank you, thanks very much.

03:54

We are OK Go,

03:56

and we've been together as a band since 1998.

04:00

But in the last decade,

04:01

we've become known as much for the elaborate music videos,

04:04

like the one we just saw,

04:05

as for the songs they accompany.

04:08

So we will play along with another one of those in a few minutes,

04:11

but in the meantime,

04:12

we want to address this question that we get asked all the time

04:16

but we've really never come up with an adequate answer for it,

04:19

and that is, how do we think of those ideas?

04:23

The videos are not all Rube Goldberg machines, by the way.

04:25

Last year we did a dance in zero gravity,

04:28

and once we set up an obstacle course

04:31

out of thousands of musical instruments in the desert,

04:34

and then played them by stunt driving a car through them.

04:37

(Laughter)

04:38

For one of the videos,

04:39

we choreographed hundreds of people with umbrellas

04:42

in an abandoned parking lot outside Tokyo,

04:44

and then filmed them from a drone a half a mile in the air.

04:48

So it's all of these ideas that people are curious about,

04:51

and the reason we've had so much trouble describing how we think of these ideas

04:56

is that it doesn't really feel like we think of them at all.

05:00

It feels like we find them.

05:03

And by way of explanation --

05:05

well, I have a compulsive habit.

05:08

I play parallax and perspective games with my eyes pretty much all the time,

05:13

and it's something I've been doing since I was a teenager.

05:16

And I think the big contributing factor may have been

05:19

that this is how I decorated my high school bedroom.

05:22

(Laughter)

05:23

And being a teenager,

05:25

what I did in there, of course, was just talk on the phone

05:27

for staggering amounts of time.

05:30

So I was in this visual maelstrom

05:33

just pretty much usually sitting in one place,

05:35

and I guess just the overload in general --

05:38

my brain kind of tried to make sense of it, and I would --

05:41

If I could move my head off to one side a little bit,

05:44

the edge of the desk would line up just perfectly

05:46

with that poster on the opposite wall;

05:48

or if I put my thumb out,

05:49

I could close first my left eye and then my right,

05:51

and my thumb would bounce back and forth

05:53

between Jimi Hendrix's left eye and his right.

05:56

(Laughter)

05:57

It was not a conscious thing, of course,

05:59

this is just kind of the equivalent of doodling while you're talking,

06:03

and it's still something I do all the time.

06:05

This is my wife, Kristin --

06:06

(Applause)

06:07

Yeah!

06:09

Woo!

06:11

And it's not uncommon that we are out at dinner,

06:14

and in the middle of a great conversation she'll just stop mid-sentence,

06:18

and when she stops is when I realize that I'm the one who's acting weird

06:21

because I'm like bobbing and weaving.

06:23

And what I'm trying to do is get that ficus back there

06:26

to stick out of her head like a ponytail.

06:28

(Laughter)

06:30

The point of telling you all this is that --

06:33

for me this is what it feels like to have an idea.

06:35

It's like they're made of these disparate parts,

06:39

these disparate chunks sort of floating out there.

06:41

And if you're receptive and you're observant,

06:44

and crucially, if you're in exactly the right place,

06:47

you can get them to just line up.

06:50

So if you get used to --

06:51

if it's your job to think of ideas this way,

06:54

they'll start beckoning to you

06:56

the way that Jimi's eyes beckoned from that poster,

06:58

or the ficus beckons from behind Kristin's head.

07:01

Writing music feels like that process just over and over again,

07:04

like you've got a bunch of sounds or a groove or a chord progression

07:08

and you're just looking for that thing on the other side,

07:11

that little chunk over there, that puzzle piece that clicks right in.

07:15

And when it does click,

07:16

it doesn't feel like you thought up that puzzle piece,

07:19

it feels like you found it --

07:20

like it was a set of relationships that you unlocked.

07:25

But with the videos in particular,

07:28

we're usually looking for this specific feeling

07:30

which is wonder.

07:31

And there's always a component of surprise to wonder,

07:34

so we're not just looking for good ideas,

07:37

we're looking for good ideas that surprise us in some way.

07:40

And this causes something of a problem,

07:42

because ...

07:45

the process that we all use to make stuff,

07:47

it actually has a very strong bias against surprising ideas.

07:51

The process I'm talking about is the one you all know --

07:53

we all do it all the time.

07:55

You think of an idea.

07:56

You just sit and think of your brilliant idea

07:58

and then you come up with a plan

08:00

for how you're going to make that idea happen.

08:02

And then with that plan in mind,

08:04

you go back and double-check your original idea

08:06

and maybe revise it,

08:07

and then bouncing back and forth between the idea and the plan,

08:10

the plan and the idea,

08:11

eventually you come up with a truly great plan.

08:14

And then once you have that, and only then,

08:16

do you go out and you execute.

08:18

And this is like --

08:19

this is sort of a flawless system

08:22

in terms of maximizing your resources,

08:24

because this -- super cheap.

08:27

Thinking usually costs very little,

08:29

but this is really expensive most of the time,

08:31

so by the time you get there,

08:32

you want to make sure you're super prepared

08:34

and you can squeeze every last drop out of what you've got.

08:37

But there are problems with this,

08:39

and math will help us reveal the biggest one.

08:42

Go back to that video that we just showed you.

08:45

That Rube Goldberg machine,

08:47

it had about 130 interactions in it.

08:49

That was 130 things

08:52

that we had to have go according to our plan.

08:54

So let's assume that we want to make a new video now,

08:58

similarly complex -- 130 moving parts.

09:02

If we're really good planners in that system,

09:05

it seems like maybe we could be good enough

09:08

to get every part of that system to be 90 percent reliable.

09:13

90 percent sounds good, right?

09:14

Well, it's not.

09:15

It's terrible actually. The numbers say so.

09:18

The chance of getting all 130 things to not fail at the same time

09:22

is .9 for 90 percent to the 130th power.

09:26

So calculate that out and you get ...

09:28

(Ding)

09:29

.000001,

09:35

which is one ten-thousandth of one percent,

09:37

so your chance for success is literally one in a million.

09:41

(Whistle)

09:43

(Laughter)

09:44

I mean that's not a gamble I want to take,

09:47

so let's ratchet up that reliability to 99 percent.

09:51

.99 to the 130th power is ...

09:54

(Ding)

09:55

.27 -- 27 percent.

09:57

Significantly less daunting --

09:59

like this might even be usable.

10:00

But really think about that.

10:01

How many parts of your lives are 99 percent reliable?

10:06

And could you really get 130 of them all in one place at once?

10:11

And if you really could,

10:13

doesn't it seem like you deserve to succeed?

10:15

Like that is --

10:17

that thing is going to work, right?

10:19

But no, it actually fails three times more often than it succeeds.

10:22

So the upshot of all this

10:24

is that if your project is pretty complex --

10:27

like, you know, every ambitious project is --

10:30

if you've got a lot of moving parts,

10:32

you're basically constrained to just reshuffling ideas

10:35

that have already demonstrably proven that they're 100 percent reliable.

10:40

So now go back to me sitting with my thumb in the air

10:43

trying to line up something surprising.

10:45

If the only things I'm allowed to consider in the first place

10:48

are ideas that have already been done over and over and over again,

10:52

I am screwed.

10:55

However, there are ways around this,

10:57

because we all know that there are tons of untried ideas still out there,

11:02

and plenty of them will turn out to be every bit as reliable as we need,

11:05

it's just that we don't yet know they are reliable

11:08

when we are at this planning phase.

11:10

So what we do is we try to identify some place

11:13

where there might just be a ton of those untried ideas.

11:16

We try to find a sandbox

11:19

and then we gamble a whole bunch of our resources

11:21

on getting in that sandbox and playing.

11:24

(Laughter)

11:26

Because we have to trust that it's the process in the sandbox

11:29

that will reveal to us which ideas are not only surprising,

11:33

but surprisingly reliable.

11:35

So some of the sandboxes that we've started videos with.

11:38

Let's play with optical illusions.

11:42

Let's try to dance on moving surfaces.

11:44

Let's try to make toast with a laser cutter.

11:48

Or let's do something in one of those zero-gravity airplanes.

11:53

But then instead of actually trying to sit there

11:55

and think out what that something is,

11:57

we spent a full third of our budget getting in an actual Vomit Comet

12:01

and bouncing off the walls for a week.

12:04

So this may seem to you like testing,

12:07

but it really isn't,

12:09

because at this point we don't yet know what our idea is,

12:12

we don't have a plan to be testing.

12:15

So we're just --

12:16

we're just playing,

12:18

we're just trying everything we can think of,

12:20

because we need to get this idea space filled up with a chaos

12:24

like the one in my high school bedroom.

12:26

Because then, if we can do the bob and weave thing,

12:29

if we can put our thumbs up and get just a few things to line up --

12:33

(Ding)

12:34

chances are no one else has ever made those same things line up before.

12:39

And when we're done with that project,

12:40

people will ask us again how we thought of that idea,

12:43

and we'll be stumped, because from our perspective,

12:45

it doesn't feel like we thought of it at all,

12:48

it just feels like we found it.

12:49

So we'll play another video for you now and the song along with it.

12:52

This is for the song "The One Moment,"

12:54

and for this one, the sandbox was ballistics and math.

12:59

So I spent a full month putting together a giant spreadsheet for this.

13:04

It was like my playspace was 400 lines long

13:07

and 25 columns wide --

13:10

which I presume that if anybody is going to understand that, it's this crowd.

13:14

(Laughter)

13:15

Nothing is better than a giant spreadsheet, right?

13:17

(Laughter)

13:18

Well, thank you everyone, very much.

13:20

We are OK Go,

13:21

and this is called "The One Moment."

13:23

(Applause)

13:27

[The One Moment]

13:29

(Explosions)

13:36

[What you just saw was real

13:38

and it took 4.2 seconds]

13:39

(Video) Let me know when it's safe.

13:42

(Percussion)

13:43

[Here's the same moment ...

13:46

slowed down.]

13:48

(Music)

13:53

(Guitar)

14:17

(Singing) You're right,

14:20

there's nothing more lovely,

14:23

there's nothing more profound

14:28

than the certainty,

14:30

than the certainty that all of this will end

14:39

That all of this will end

14:44

So open your arms to me,

14:46

open your arms to me

14:48

And this will be the one moment that matters,

14:51

and this will be the one thing we remember,

14:55

and this will be the reason to have been here,

14:59

and this will be the one moment that matters --

15:03

Oh ...

15:04

(Guitar)

15:11

(Singing) So while the mud reclaims our footprints,

15:17

and while our bones keep looking back

15:21

at the overgrowth that's swallowing the path --

15:25

but for the grace of God go we,

15:29

but for the grace of God go we

15:33

But for the grace of time and chance and entropy's cruel hands --

15:38

So open your arms to me,

15:40

open your arms to me

15:42

And this will be the one moment that matters,

15:45

and this will be the one thing we remember,

15:49

and this will be the reason to have been here,

15:53

and this will be the one moment that matters

15:57

Oh ...

16:00

So won't you stay here with me

16:03

and we'll build 'til we've blistered our hands

16:08

So won't you stay here with me and we'll build us some temples,

16:13

build us some castles,

16:15

build us some monuments

16:17

and burn them all right down

16:19

(Music)

16:30

(Singing) So open your arms to me

16:34

And this will be the one moment that matters,

16:38

and this will be the reason to have been here,

16:42

and this will be the one thing we remember,

16:45

and this will be the one moment that matters

16:50

So won't you stay here with me,

16:51

we'll build 'til we blister our hands

16:54

And this will be the one moment that matters --

16:57

So won't you stay here with me and build us some temples --

17:01

This will be the one moment that matters --

17:05

Build us some temples --

17:07

The one moment that matters --

17:09

Build us some monuments --

17:11

The one moment that matters

17:13

Build us some temples --

17:15

The one moment that matters.

17:17

Build us some monuments --

17:18

The one moment that matters, oh

17:21

(Guitar)

17:26

(Applause)

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