1 00:00:11,681 --> 00:00:13,814 I want to skip the introduction. 2 00:00:15,652 --> 00:00:18,176 I want to start by doing an experiment. 3 00:00:19,557 --> 00:00:23,007 I'm going to play three videos of a rainy day. 4 00:00:23,635 --> 00:00:27,519 But I've replaced the audio of one of the videos, 5 00:00:27,543 --> 00:00:29,917 and instead of the sound of rain, 6 00:00:29,941 --> 00:00:33,009 I've added the sound of bacon frying. 7 00:00:33,837 --> 00:00:37,809 So I want you think carefully which one the clip with the bacon is. 8 00:00:38,395 --> 00:00:40,307 (Rain falls) 9 00:00:42,094 --> 00:00:44,000 (Rain falls) 10 00:00:46,327 --> 00:00:48,232 (Rain falls) 11 00:00:51,711 --> 00:00:52,993 All right. 12 00:00:54,164 --> 00:00:56,738 Actually, I lied. 13 00:00:56,762 --> 00:00:58,032 They're all bacon. 14 00:00:58,056 --> 00:00:59,631 (Bacon sizzles) 15 00:01:03,376 --> 00:01:07,154 (Applause) 16 00:01:08,016 --> 00:01:11,289 My point here isn't really to make you hungry 17 00:01:11,313 --> 00:01:12,962 every time you see a rainy scene, 18 00:01:12,986 --> 00:01:18,906 but it's to show that our brains are conditioned to embrace the lies. 19 00:01:19,496 --> 00:01:21,594 We're not looking for accuracy. 20 00:01:22,554 --> 00:01:25,339 So on the subject of deception, 21 00:01:25,363 --> 00:01:28,726 I wanted to quote one of my favorite authors. 22 00:01:28,750 --> 00:01:35,699 In "The Decay of Lying," Oscar Wilde establishes the idea 23 00:01:35,723 --> 00:01:41,332 that all bad art comes from copying nature and being realistic; 24 00:01:41,896 --> 00:01:47,140 and all great art comes from lying and deceiving, 25 00:01:47,830 --> 00:01:50,863 and telling beautiful, untrue things. 26 00:01:50,905 --> 00:01:53,690 So, I want to make this clear - 27 00:01:53,787 --> 00:01:56,420 when you're watching a movie 28 00:01:56,990 --> 00:01:58,502 and a phone rings, 29 00:01:58,526 --> 00:02:00,528 it's not actually ringing. 30 00:02:01,042 --> 00:02:05,296 It's been added later in postproduction in a studio. 31 00:02:05,320 --> 00:02:08,174 All of the sounds you hear are fake. 32 00:02:08,198 --> 00:02:10,008 Everything, apart from the dialogue, 33 00:02:10,039 --> 00:02:11,109 is fake. 34 00:02:11,158 --> 00:02:14,545 Not the only thing that's fake in Hollywood, by the way. 35 00:02:14,618 --> 00:02:16,529 Laughter) 36 00:02:16,610 --> 00:02:20,270 When you watch a movie and you see a bird flapping its wings -- 37 00:02:20,294 --> 00:02:22,315 (Wings flap) 38 00:02:23,641 --> 00:02:25,904 They haven't really recorded the bird. 39 00:02:25,928 --> 00:02:30,922 It sounds a lot more realistic if you record a sheet 40 00:02:30,946 --> 00:02:32,498 or shaking kitchen gloves. 41 00:02:32,522 --> 00:02:34,874 (Flaps) 42 00:02:36,549 --> 00:02:39,492 The burning of a cigarette up close -- 43 00:02:40,016 --> 00:02:42,013 (Cigarette burns) 44 00:02:42,851 --> 00:02:45,602 It actually sounds a lot more authentic 45 00:02:45,626 --> 00:02:48,471 if you take a small Saran Wrap ball 46 00:02:48,495 --> 00:02:49,713 and release it. 47 00:02:49,737 --> 00:02:52,880 (A Saran Warp ball being released) 48 00:02:53,869 --> 00:02:55,272 Punches? 49 00:02:55,296 --> 00:02:56,818 (Punch) 50 00:02:56,842 --> 00:02:57,978 Let me play that again. 51 00:02:57,998 --> 00:02:58,780 (Punch) 52 00:02:58,835 --> 00:03:02,571 That's often done by sticking a knife in vegetables, 53 00:03:02,595 --> 00:03:04,017 usually cabbage. 54 00:03:04,361 --> 00:03:05,813 (Cabbage stabbed with a knife) 55 00:03:07,288 --> 00:03:09,636 The next one - I'm not going to play the video 56 00:03:09,666 --> 00:03:11,620 but it's breaking bones. 57 00:03:11,692 --> 00:03:13,917 (Bones break) 58 00:03:14,570 --> 00:03:16,904 Well, no one was really harmed. 59 00:03:16,928 --> 00:03:18,328 It's actually ... 60 00:03:19,363 --> 00:03:22,618 breaking celery or frozen lettuce. 61 00:03:22,642 --> 00:03:24,683 (Breaking frozen lettuce or celery) 62 00:03:25,747 --> 00:03:27,616 (Laughter) 63 00:03:29,580 --> 00:03:32,980 Yeah. Thanks to my three friends who are laughing. 64 00:03:34,253 --> 00:03:38,968 Making the right sounds is not always as easy 65 00:03:38,992 --> 00:03:40,899 as a trip to the supermarket 66 00:03:40,923 --> 00:03:43,619 and going to the vegetable section. 67 00:03:43,643 --> 00:03:46,018 But it's often a lot more complicated than that. 68 00:03:46,042 --> 00:03:49,065 So let's reverse-engineer together 69 00:03:49,089 --> 00:03:51,413 the creation of a sound effect. 70 00:03:51,437 --> 00:03:54,786 One of my favorite stories comes from Frank Serafine. 71 00:03:54,810 --> 00:03:56,661 He's a contributor to our library, 72 00:03:56,685 --> 00:04:00,247 and a great sound designer for "Tron" and "Star Trek" and others. 73 00:04:01,291 --> 00:04:06,549 He was part of the Paramount team that won the Oscar for best sound 74 00:04:06,573 --> 00:04:08,504 for "The Hunt for Red October." 75 00:04:08,528 --> 00:04:11,918 In this Cold War classic, in the '90s, 76 00:04:11,942 --> 00:04:16,726 they were asked to produce the sound of the propeller of the submarine. 77 00:04:16,750 --> 00:04:18,096 So they had a small problem: 78 00:04:18,120 --> 00:04:21,640 they couldn't really find a submarine in West Hollywood. 79 00:04:21,664 --> 00:04:25,322 So basically, what they did is, 80 00:04:25,346 --> 00:04:28,701 they went to a friend's swimming pool, 81 00:04:28,780 --> 00:04:32,378 and Frank performed a cannonball. 82 00:04:32,469 --> 00:04:34,665 They placed an underwater mic 83 00:04:34,696 --> 00:04:37,472 and an overhead mic outside the swimming pool. 84 00:04:37,966 --> 00:04:39,648 We recreated the sound. 85 00:04:39,689 --> 00:04:42,942 So here's what the underwater mic sounds like. 86 00:04:42,966 --> 00:04:44,501 (Underwater plunge) 87 00:04:45,208 --> 00:04:46,714 Adding the overhead mic, 88 00:04:46,738 --> 00:04:48,691 it sounded a bit like this: 89 00:04:48,715 --> 00:04:51,090 (Water splashes) 90 00:04:51,114 --> 00:04:55,561 So now they took the sound and pitched it one octave down, 91 00:04:55,585 --> 00:04:58,061 sort of like slowing down a record. 92 00:04:58,450 --> 00:05:00,866 (Water splashes at lower octave) 93 00:05:01,529 --> 00:05:04,297 And then they removed a lot of the high frequencies. 94 00:05:04,321 --> 00:05:06,596 (Water splashes) 95 00:05:06,620 --> 00:05:08,676 And pitched it down another octave. 96 00:05:09,914 --> 00:05:12,202 (Water splashes at lower octave) 97 00:05:12,226 --> 00:05:14,732 And then they added a little bit of the splash 98 00:05:14,756 --> 00:05:17,040 from the overhead microphone. 99 00:05:17,064 --> 00:05:20,229 (Water splashes) 100 00:05:20,253 --> 00:05:22,791 And by looping and repeating that sound, 101 00:05:22,815 --> 00:05:24,005 they got this: 102 00:05:24,029 --> 00:05:26,870 (Propeller churns) 103 00:05:30,063 --> 00:05:36,591 So, creativity and technology put together in order to create the illusion 104 00:05:36,615 --> 00:05:39,652 that we're inside the submarine. 105 00:05:39,768 --> 00:05:43,129 But once you've created your sounds 106 00:05:43,153 --> 00:05:45,547 and you've synced them to the image, 107 00:05:45,571 --> 00:05:49,622 you want those sounds to live in the world of the story. 108 00:05:50,297 --> 00:05:54,331 And one the best ways to do that is to add reverb. 109 00:05:54,897 --> 00:05:57,512 So this is the first audio tool I want to talk about. 110 00:05:58,098 --> 00:06:03,220 Reverberation, or reverb, is the persistence of the sound 111 00:06:03,244 --> 00:06:05,175 after the original sound has ended. 112 00:06:05,199 --> 00:06:07,767 So it's sort of like the -- 113 00:06:07,791 --> 00:06:10,827 all the reflections from the materials, 114 00:06:10,851 --> 00:06:13,738 the objects and the walls around the sound. 115 00:06:13,762 --> 00:06:15,974 Take, for example, the sound of a gunshot. 116 00:06:15,998 --> 00:06:19,000 The original sound is less than half a second long. 117 00:06:20,238 --> 00:06:21,388 (Gunshot) 118 00:06:22,647 --> 00:06:24,336 By adding reverb, 119 00:06:24,360 --> 00:06:27,577 we can make it sound like it was recorded inside a bathroom. 120 00:06:28,370 --> 00:06:29,933 (Gunshot reverbs in bathroom) 121 00:06:29,957 --> 00:06:33,462 Or like it was recorded inside a chapel or a church. 122 00:06:33,787 --> 00:06:35,340 (Gunshot reverbs church) 123 00:06:35,943 --> 00:06:37,947 Or in a canyon. 124 00:06:38,399 --> 00:06:40,160 (Gunshot reverbs in canyon) 125 00:06:40,884 --> 00:06:44,615 So reverb gives us a lot of information 126 00:06:44,661 --> 00:06:49,591 about the space between the listener and the original sound source. 127 00:06:49,615 --> 00:06:51,724 If the sound is the taste, 128 00:06:51,748 --> 00:06:55,932 then reverb is sort of like the smell of the sound. 129 00:06:56,309 --> 00:06:58,467 But reverb can do a lot more. 130 00:06:58,491 --> 00:07:02,155 Listening to a sound with a lot less reverberation 131 00:07:02,225 --> 00:07:04,308 than the on-screen action 132 00:07:04,332 --> 00:07:07,352 is going to immediately signify to us 133 00:07:07,376 --> 00:07:10,019 that we're listening to a commentator, 134 00:07:10,043 --> 00:07:14,834 to an objective narrator that's not participating in the on-screen action. 135 00:07:16,271 --> 00:07:20,462 Also, emotionally intimate moments in cinema 136 00:07:20,486 --> 00:07:22,433 are often heard with zero reverb, 137 00:07:22,457 --> 00:07:26,427 because that's how it would sound if someone was speaking inside our ear. 138 00:07:26,824 --> 00:07:28,785 On the completely other side, 139 00:07:28,809 --> 00:07:31,305 adding a lot of reverb to a voice 140 00:07:31,329 --> 00:07:34,706 is going to make us think that we're listening to a flashback, 141 00:07:35,037 --> 00:07:38,346 or perhaps that we're inside the head of a character 142 00:07:39,346 --> 00:07:41,822 or that we're listening to the voice of God. 143 00:07:41,846 --> 00:07:44,108 Or, even more powerful in film, 144 00:07:44,132 --> 00:07:45,619 Morgan Freeman. 145 00:07:45,643 --> 00:07:46,927 (Laughter) 146 00:07:46,951 --> 00:07:48,118 So -- 147 00:07:48,142 --> 00:07:50,372 (Applause) 148 00:07:50,902 --> 00:07:54,773 But what are some other tools or hacks 149 00:07:54,797 --> 00:07:56,657 that sound designers use? 150 00:07:57,586 --> 00:07:59,889 Well, here's a really big one. 151 00:08:10,347 --> 00:08:11,876 I think some people guessed it. 152 00:08:11,901 --> 00:08:12,855 It's silence. 153 00:08:12,887 --> 00:08:15,156 I didn't really forget this part of the talk 154 00:08:15,228 --> 00:08:16,863 but I sort of wanted to show 155 00:08:16,907 --> 00:08:20,511 that a few moments of silence is going to make us pay attention. 156 00:08:20,981 --> 00:08:23,421 And in the Western world, 157 00:08:23,445 --> 00:08:25,568 we're not really used to verbal silences. 158 00:08:25,592 --> 00:08:28,621 They're considered awkward or rude. 159 00:08:29,637 --> 00:08:33,210 So silence preceding verbal communication 160 00:08:34,121 --> 00:08:36,181 can create a lot of tension. 161 00:08:36,205 --> 00:08:39,909 But imagine a really big Hollywood movie, 162 00:08:39,933 --> 00:08:44,278 where it's full of explosions and automatic guns. 163 00:08:44,389 --> 00:08:47,984 Loud stops being loud anymore, after a while. 164 00:08:48,008 --> 00:08:49,952 So in a yin-yang way, 165 00:08:49,976 --> 00:08:53,113 silence needs loudness and loudness needs silence 166 00:08:53,137 --> 00:08:55,402 for either of them to have any effect. 167 00:08:55,450 --> 00:08:56,827 But what does silence mean? 168 00:08:56,851 --> 00:08:59,789 Well, it depends how it's used in each film. 169 00:08:59,816 --> 00:09:02,995 Silence can place us inside the head of a character 170 00:09:03,019 --> 00:09:04,637 or provoke thought. 171 00:09:04,661 --> 00:09:07,658 We often relate silences with ... 172 00:09:07,690 --> 00:09:09,072 contemplation, 173 00:09:09,658 --> 00:09:10,915 meditation, 174 00:09:12,285 --> 00:09:13,852 being deep in thought. 175 00:09:14,069 --> 00:09:17,171 But apart from having one meaning, 176 00:09:17,195 --> 00:09:19,365 silence becomes a blank canvas 177 00:09:19,389 --> 00:09:23,914 upon which the viewer is invited to the paint their own thoughts. 178 00:09:24,462 --> 00:09:28,138 But I want to make it clear: there is no such thing as silence. 179 00:09:28,692 --> 00:09:33,137 And I know this sounds like the most pretentious TED Talk statement ever. 180 00:09:33,152 --> 00:09:35,271 (Laughter) 181 00:09:35,335 --> 00:09:39,521 But even if you were to enter a room with zero reverberation 182 00:09:39,564 --> 00:09:41,629 and zero external sounds, 183 00:09:41,653 --> 00:09:44,770 you would still be able to hear the pumping of your own blood. 184 00:09:45,404 --> 00:09:49,721 And in cinema, traditionally, there was never a silent moment 185 00:09:49,745 --> 00:09:51,665 because of the sound of the projector. 186 00:09:52,116 --> 00:09:54,563 And even in today's Dolby world, 187 00:09:55,434 --> 00:09:58,715 there's not really any moment of silence if you listen around you. 188 00:09:59,885 --> 00:10:02,110 There's always some sort of noise. 189 00:10:02,134 --> 00:10:05,061 Now, since there's no such thing as silence, 190 00:10:05,085 --> 00:10:08,656 what do filmmakers and sound designers use? 191 00:10:08,687 --> 00:10:13,183 Well, as a synonym, they often use ambiences. 192 00:10:13,307 --> 00:10:17,176 Ambiences are the unique background sounds 193 00:10:17,200 --> 00:10:20,248 that are specific to each location. 194 00:10:20,272 --> 00:10:22,121 Each location has a unique sound, 195 00:10:22,145 --> 00:10:24,121 and each room has a unique sound, 196 00:10:24,145 --> 00:10:25,718 which is called room tone. 197 00:10:25,742 --> 00:10:28,165 So here's a recording of a market in Morocco. 198 00:10:28,189 --> 00:10:32,668 (Voices, music) 199 00:10:34,570 --> 00:10:37,338 And here's a recording of Times Square in New York. 200 00:10:37,943 --> 00:10:42,466 (Traffic sounds, car horns, voices) 201 00:10:44,450 --> 00:10:47,529 Believe me, it's a lot better to have to listen to Times Square 202 00:10:47,553 --> 00:10:49,601 than to have to smell Times Square. 203 00:10:49,648 --> 00:10:53,371 Room tone is the addition of all the noises inside the room: 204 00:10:53,394 --> 00:10:55,783 the ventilation, the heating, the fridge. 205 00:10:56,408 --> 00:11:00,313 Here's a recording of my apartment in Brooklyn. 206 00:11:00,543 --> 00:11:05,421 [You can hear the ventilation, the boiler, the fridge and street traffic] 207 00:11:05,483 --> 00:11:10,283 [(is that an electric toothbrush or just my neighbor having some fun?)] 208 00:11:10,422 --> 00:11:14,726 Ambiences work in a most primal way. 209 00:11:15,718 --> 00:11:18,572 They can speak directly to our brain subconsciously. 210 00:11:19,538 --> 00:11:25,387 So, birds chirping outside your window may indicate normality, 211 00:11:25,937 --> 00:11:28,728 perhaps because, as a species, 212 00:11:28,752 --> 00:11:32,889 we've been used to that sound every morning for millions of years. 213 00:11:33,360 --> 00:11:37,303 (Birds chirp) 214 00:11:40,839 --> 00:11:44,480 On the other hand, industrial sounds have been introduced to us 215 00:11:44,504 --> 00:11:45,995 a little more recently. 216 00:11:46,969 --> 00:11:49,027 Even though I really like them personally -- 217 00:11:49,051 --> 00:11:51,464 they've been used by one of my heroes, David Lynch, 218 00:11:51,488 --> 00:11:53,423 and his sound designer, Alan Splet -- 219 00:11:53,447 --> 00:11:56,009 industrial sounds often carry negative connotations. 220 00:11:56,033 --> 00:11:58,787 (Machine noises) 221 00:12:03,092 --> 00:12:07,948 Now, sound effects can tap into our emotional memory. 222 00:12:08,069 --> 00:12:10,426 Occasionally, they can be so significant 223 00:12:10,450 --> 00:12:13,024 that they become a character in a movie. 224 00:12:13,260 --> 00:12:16,744 They are a lot more low maintenance than some actors, as well. 225 00:12:18,442 --> 00:12:19,823 For example - 226 00:12:20,769 --> 00:12:25,374 The sound of thunder may indicate divine intervention or anger. 227 00:12:26,073 --> 00:12:29,038 (Thunder) 228 00:12:32,157 --> 00:12:36,132 Church bells can remind us of the passing of time, 229 00:12:36,156 --> 00:12:38,061 or perhaps our own mortality. 230 00:12:38,427 --> 00:12:44,315 (Bells ring) 231 00:12:46,373 --> 00:12:50,863 And breaking of glass can indicate the end of a relationship 232 00:12:50,887 --> 00:12:52,115 or a friendship. 233 00:12:52,990 --> 00:12:54,791 (Glass breaks) 234 00:12:55,388 --> 00:12:58,941 Scientists believe that dissonant sounds, 235 00:12:58,965 --> 00:13:03,736 for example, brass or wind instruments played very loud, 236 00:13:04,938 --> 00:13:09,382 may remind us of animal howls in nature 237 00:13:09,406 --> 00:13:12,533 and therefore create a sense of irritation or fear. 238 00:13:13,006 --> 00:13:15,937 (Brass and wind instruments play) 239 00:13:19,214 --> 00:13:22,386 So now we've spoken about on-screen sounds. 240 00:13:22,798 --> 00:13:27,431 But occasionally, the source of a sound cannot be seen. 241 00:13:27,455 --> 00:13:29,979 That's what we call offscreen sounds, 242 00:13:30,003 --> 00:13:31,451 or "acousmatic." 243 00:13:31,587 --> 00:13:36,620 The term "acousmatic" comes from Pythagoras in ancient Greece, 244 00:13:36,644 --> 00:13:40,235 who used to teach behind a veil or curtain for years, 245 00:13:40,259 --> 00:13:43,449 not revealing himself to his disciples. 246 00:13:43,473 --> 00:13:46,261 I think the mathematician and philosopher thought that, 247 00:13:46,927 --> 00:13:48,078 in that way, 248 00:13:48,784 --> 00:13:52,821 his students might focus more on the voice, 249 00:13:52,845 --> 00:13:54,809 and his words and its meaning, 250 00:13:54,833 --> 00:13:58,003 rather than the visual of him speaking. 251 00:13:58,027 --> 00:14:00,726 So sort of like the Wizard of Oz, 252 00:14:00,750 --> 00:14:03,339 or "1984's" Big Brother, 253 00:14:03,488 --> 00:14:06,754 separating the voice from its source, 254 00:14:06,778 --> 00:14:08,669 separating cause and effect 255 00:14:09,479 --> 00:14:13,274 sort of creates a sense of ubiquity or panopticism, 256 00:14:13,298 --> 00:14:15,378 and therefore, authority. 257 00:14:16,256 --> 00:14:19,317 There's a strong tradition of acousmatic sound. 258 00:14:20,229 --> 00:14:25,535 Nuns in monasteries in Rome and Venice used to sing in rooms 259 00:14:25,563 --> 00:14:29,422 up in galleries close to the ceiling, 260 00:14:29,446 --> 00:14:33,386 creating the illusion that we're listening to angels up in the sky. 261 00:14:34,190 --> 00:14:37,880 Richard Wagner famously created the hidden orchestra 262 00:14:37,904 --> 00:14:41,740 that was placed in a pit between the stage and the audience. 263 00:14:41,764 --> 00:14:46,807 And one of my heroes, Aphex Twin, famously hid in dark corners of clubs. 264 00:14:47,420 --> 00:14:52,163 I think what all these masters knew is that by hiding the source, 265 00:14:52,187 --> 00:14:53,850 you create a sense of mystery. 266 00:14:53,874 --> 00:14:55,943 This has been seen in cinema over and over, 267 00:14:55,967 --> 00:14:58,154 with Hitchcock, and Ridley Scott in "Alien." 268 00:14:58,171 --> 00:15:00,563 Hearing a sound without knowing its source 269 00:15:00,587 --> 00:15:03,812 is going to create some sort of tension. 270 00:15:05,630 --> 00:15:11,244 Also, it can minimize certain visual restrictions that directors have 271 00:15:11,268 --> 00:15:14,958 and can show something that wasn't there during filming. 272 00:15:14,982 --> 00:15:17,067 And if all this sounds a little theoretical, 273 00:15:17,091 --> 00:15:18,712 I wanted to play a little video. 274 00:15:19,489 --> 00:15:22,016 (Toy squeaks) 275 00:15:22,583 --> 00:15:25,234 (Typewriter) 276 00:15:25,961 --> 00:15:28,467 (Drums) 277 00:15:29,364 --> 00:15:31,685 (Ping-pong) 278 00:15:32,684 --> 00:15:35,644 (Knives being sharpened) 279 00:15:35,986 --> 00:15:39,032 (Record scratches) 280 00:15:39,605 --> 00:15:40,791 (Saw cuts) 281 00:15:40,815 --> 00:15:42,272 (Woman screams) 282 00:15:42,848 --> 00:15:44,714 (Laughter) 283 00:15:47,163 --> 00:15:50,958 What I'm sort of trying to demonstrate with these tools 284 00:15:52,430 --> 00:15:54,619 is that sound is a language. 285 00:15:55,016 --> 00:15:58,158 It can trick us by transporting us geographically; 286 00:15:59,071 --> 00:16:00,587 it can change the mood; 287 00:16:01,079 --> 00:16:02,500 it can set the pace; 288 00:16:03,882 --> 00:16:07,336 it can make us laugh or it can make us scared. 289 00:16:09,098 --> 00:16:12,448 On a personal level, I fell in love with that language 290 00:16:12,472 --> 00:16:13,789 a few years ago, 291 00:16:13,813 --> 00:16:18,420 and somehow managed to make it into some sort of profession. 292 00:16:19,674 --> 00:16:22,900 And I think with our work through the sound library, 293 00:16:22,924 --> 00:16:28,720 we're trying to kind of expand the vocabulary of that language. 294 00:16:30,197 --> 00:16:33,679 And in that way, we want to offer the right tools 295 00:16:33,703 --> 00:16:35,343 to sound designers, 296 00:16:35,367 --> 00:16:36,715 filmmakers, 297 00:16:36,739 --> 00:16:38,574 and video game and app designers, 298 00:16:39,148 --> 00:16:42,283 to keep telling even better stories 299 00:16:42,782 --> 00:16:45,514 and creating even more beautiful lies. 300 00:16:45,538 --> 00:16:46,825 So thanks for listening. 301 00:16:46,849 --> 00:16:50,368 (Applause)