1 00:00:04,200 --> 00:00:07,120 Speaker 1: Hey, and welcome to the Short Stuff. I'm Josh Clark, 2 00:00:07,160 --> 00:00:10,360 Speaker 1: and this is Charles W. Chuck Bryant, and Jerry's there. 3 00:00:10,920 --> 00:00:13,640 Speaker 1: She didn't have a sound associated with her because she's 4 00:00:13,640 --> 00:00:16,800 Speaker 1: already listening to sound and this is short stuff. 5 00:00:17,600 --> 00:00:21,080 Speaker 2: Yeah, we're we're doing one on the different color noises, 6 00:00:21,079 --> 00:00:22,880 Speaker 2: you know, white noise, brown noise, pink noise. 7 00:00:22,920 --> 00:00:25,360 Speaker 3: And Jerry literally just said. 8 00:00:25,160 --> 00:00:30,400 Speaker 2: Hey, I'm listening to brown noise right now, which I've 9 00:00:30,440 --> 00:00:34,720 Speaker 2: never heard of anyone just listening to noise unless they 10 00:00:34,720 --> 00:00:37,480 Speaker 2: were trying to sleep or you know, at a place 11 00:00:37,479 --> 00:00:39,280 Speaker 2: where they were trying to block out other noise. But 12 00:00:39,320 --> 00:00:42,400 Speaker 2: I think Jerry just said it like helped her relax 13 00:00:42,520 --> 00:00:46,199 Speaker 2: or something, or concentrate, would I think she said, yeah, 14 00:00:46,560 --> 00:00:48,760 Speaker 2: kind of the same thing I said, but with a 15 00:00:48,760 --> 00:00:49,239 Speaker 2: different word. 16 00:00:50,240 --> 00:00:54,200 Speaker 1: I used to try it too during work. It is 17 00:00:54,320 --> 00:00:56,560 Speaker 1: supposed to help you focus and at the very at 18 00:00:56,640 --> 00:00:59,800 Speaker 1: least drown out other noises. But it just didn't take 19 00:00:59,800 --> 00:01:02,320 Speaker 1: with me, at least at first, at least for working. 20 00:01:02,800 --> 00:01:04,600 Speaker 3: Get you do like ambient music, now, don't you? 21 00:01:04,800 --> 00:01:07,920 Speaker 1: Yes? But I get it for sleep for sure, which 22 00:01:07,959 --> 00:01:10,600 Speaker 1: is what most people use it for. Jerry's an odd duck. 23 00:01:11,400 --> 00:01:13,959 Speaker 2: Yeah, and I have been on record before. I'm a 24 00:01:14,000 --> 00:01:17,360 Speaker 2: brown nose adherent brown no noise. 25 00:01:17,560 --> 00:01:20,280 Speaker 3: I didn't know. Apparently I almost say brown nose. 26 00:01:20,360 --> 00:01:21,800 Speaker 1: I think you did say brown nose. 27 00:01:24,480 --> 00:01:27,919 Speaker 2: It can also be called red nose or red noise, 28 00:01:27,920 --> 00:01:30,920 Speaker 2: which I didn't know, but brown noise, as I've demonstrated 29 00:01:30,959 --> 00:01:34,280 Speaker 2: on the show, if this is white noise, this is 30 00:01:34,319 --> 00:01:42,800 Speaker 2: brown noise, and this is pink noise. Wo brown noises deeper, 31 00:01:43,360 --> 00:01:48,600 Speaker 2: has lower frequencies, has got more base, minimalizes that higher frequency. 32 00:01:49,200 --> 00:01:51,240 Speaker 2: And I didn't really know this, but apparently you can 33 00:01:51,360 --> 00:01:55,480 Speaker 2: liken some of these two sounds in nature. And apparently 34 00:01:55,480 --> 00:01:57,680 Speaker 2: brown noise is more akin to like a river rapid 35 00:01:57,760 --> 00:02:01,040 Speaker 2: or a heavy rainfall or fun. 36 00:02:00,760 --> 00:02:06,800 Speaker 1: Yes, distant thunder, rumbling thunder even yeah. Yeah, So obviously 37 00:02:06,880 --> 00:02:10,160 Speaker 1: that's very alluring. Everybody likes those sounds, So brown noise 38 00:02:10,200 --> 00:02:13,639 Speaker 1: makes sense. And because there's also white noise and pink noise, 39 00:02:14,040 --> 00:02:16,880 Speaker 1: you think brown noise is just named after the color brown, 40 00:02:17,600 --> 00:02:19,960 Speaker 1: like for some reason, maybe it evoked the color brown 41 00:02:20,000 --> 00:02:23,080 Speaker 1: and the person who named it wrong. There was a 42 00:02:23,240 --> 00:02:27,480 Speaker 1: scientist named Robert Brown from Scotland who in the very 43 00:02:27,480 --> 00:02:31,600 Speaker 1: early eighteen hundreds was looking at pollen grains through his 44 00:02:31,639 --> 00:02:36,040 Speaker 1: microscope and saw them basically dancing around, and he said, 45 00:02:36,040 --> 00:02:39,560 Speaker 1: this is not possible because pollen is not alive, and 46 00:02:40,000 --> 00:02:43,359 Speaker 1: he had no idea what this was, but he published 47 00:02:43,360 --> 00:02:46,560 Speaker 1: his paper so that future generations could solve it, and 48 00:02:46,639 --> 00:02:49,640 Speaker 1: apparently no less than Albert Einstein took it on and 49 00:02:49,680 --> 00:02:55,519 Speaker 1: found this was an excellent demonstration of atomic particles interacting 50 00:02:56,160 --> 00:03:01,120 Speaker 1: and basically moving ultimately these pollen grains along. And the 51 00:03:01,200 --> 00:03:04,640 Speaker 1: reason that it's named after Robert Brown Brown Noise is 52 00:03:04,680 --> 00:03:08,720 Speaker 1: because he tried to figure out how to quantify these 53 00:03:08,800 --> 00:03:10,080 Speaker 1: random movements, right. 54 00:03:11,520 --> 00:03:13,240 Speaker 2: Yeah, and this is a part like, I don't know, 55 00:03:13,800 --> 00:03:16,720 Speaker 2: this is way above my scientific pay grade, so I'm 56 00:03:16,760 --> 00:03:20,519 Speaker 2: not sure how you go about this. But he devised 57 00:03:20,560 --> 00:03:23,520 Speaker 2: this mathematical formula to predict the movements of the pollen 58 00:03:24,320 --> 00:03:29,040 Speaker 2: and use that to generate an electronic sound, and that 59 00:03:29,240 --> 00:03:30,040 Speaker 2: was Brown Noise. 60 00:03:30,360 --> 00:03:33,000 Speaker 1: Yeah. Well, other people who came used his formula to 61 00:03:33,160 --> 00:03:36,280 Speaker 1: generate sound. I don't understand why either, but. 62 00:03:36,400 --> 00:03:39,360 Speaker 2: Yeah, but so the sound of brown noise is literally 63 00:03:39,840 --> 00:03:42,560 Speaker 2: the formula for the sound of pollen moving, which is 64 00:03:42,600 --> 00:03:43,800 Speaker 2: just kooky to think. 65 00:03:43,720 --> 00:03:46,320 Speaker 1: About it is, but it's pretty cool too. I just 66 00:03:46,360 --> 00:03:48,440 Speaker 1: think good good factor the show. I think, yeah, I mean, 67 00:03:48,480 --> 00:03:51,160 Speaker 1: it's all maths, so technically you could use math to 68 00:03:51,200 --> 00:03:55,040 Speaker 1: translate into other kinds of math, I'm guessing. But just 69 00:03:55,080 --> 00:03:59,120 Speaker 1: the idea of, yeah, figuring out how random movements can 70 00:03:59,120 --> 00:04:02,040 Speaker 1: turn into a sound is just I love that stuff. 71 00:04:02,560 --> 00:04:03,160 Speaker 3: Yeah, me too. 72 00:04:03,880 --> 00:04:06,960 Speaker 1: Let's talk about this offline, Chuck while we take a break. 73 00:04:07,480 --> 00:04:27,800 Speaker 2: All right, Well, we just had a great conversation about 74 00:04:27,800 --> 00:04:30,719 Speaker 2: brown noise offline, but now we're going to talk about 75 00:04:30,760 --> 00:04:36,480 Speaker 2: white noise, the higher cousin to brown noise. Obviously, it 76 00:04:36,520 --> 00:04:38,880 Speaker 2: does have a range. It's not like it's just high frequency, 77 00:04:39,360 --> 00:04:41,960 Speaker 2: but it's not as base heavy. They have the lows 78 00:04:41,960 --> 00:04:45,599 Speaker 2: in there, they have the mids and the highs. But 79 00:04:46,080 --> 00:04:48,680 Speaker 2: white noise is used aside from just sleeping a lot 80 00:04:48,680 --> 00:04:52,440 Speaker 2: of times with like noise canceling headphones and stuff masking 81 00:04:52,480 --> 00:04:55,720 Speaker 2: other sounds. This one is a kid naturally to like 82 00:04:55,920 --> 00:04:59,000 Speaker 2: a light rain or a gentle breeze through the trees. 83 00:04:59,240 --> 00:05:00,000 Speaker 3: Sounds kind of nice. 84 00:05:01,040 --> 00:05:03,880 Speaker 1: One of the coolest things I learned ever, is that 85 00:05:03,960 --> 00:05:09,560 Speaker 1: in Kyoto, Japan, there is a the sound of wind 86 00:05:09,960 --> 00:05:14,000 Speaker 1: blowing through bamboo in this one. Park is a protected 87 00:05:14,360 --> 00:05:17,960 Speaker 1: heritage site like the sound itself is protected as a 88 00:05:18,000 --> 00:05:19,000 Speaker 1: world heritage. 89 00:05:19,960 --> 00:05:22,680 Speaker 2: Yeah, and I think I remember talking about that game 90 00:05:22,720 --> 00:05:24,440 Speaker 2: I played, the Ghost of Tsushima. 91 00:05:25,880 --> 00:05:26,880 Speaker 3: I think that's what it's called. 92 00:05:27,000 --> 00:05:32,320 Speaker 2: It was the sort of feudal Japanese Warrior PS four 93 00:05:32,360 --> 00:05:35,200 Speaker 2: game that I played. That the sounds in that game, 94 00:05:35,680 --> 00:05:37,960 Speaker 2: it's a gorgeous game, but the sounds of the wind 95 00:05:38,400 --> 00:05:41,200 Speaker 2: blowing through the poppy fields and through the bamboo forests, 96 00:05:41,320 --> 00:05:43,440 Speaker 2: like you could tell it was a thing that they 97 00:05:43,440 --> 00:05:45,600 Speaker 2: really wanted to capture and they did so cool. 98 00:05:45,800 --> 00:05:47,880 Speaker 1: I think you're confusing that with Cubert. 99 00:05:48,680 --> 00:05:54,599 Speaker 3: Yeah, dying, Dying, all right? What about pink noise. 100 00:05:54,680 --> 00:05:56,880 Speaker 1: Pink noise is a little different. It's kind of like 101 00:05:57,000 --> 00:06:01,120 Speaker 1: the compromise between white noise and brown noise, because the 102 00:06:01,279 --> 00:06:04,240 Speaker 1: white noise includes all frequencies. A lot of people are like, 103 00:06:04,279 --> 00:06:06,760 Speaker 1: I don't like those high frequencies, especially when I'm trying 104 00:06:06,760 --> 00:06:09,880 Speaker 1: to sleep. But I'm not down with just nothing but 105 00:06:10,400 --> 00:06:13,160 Speaker 1: the low base heavy stuff. Give me some mid range 106 00:06:13,520 --> 00:06:16,600 Speaker 1: and maybe accentuate the lower and higher things a little bit, 107 00:06:16,600 --> 00:06:19,000 Speaker 1: but not too much. And if you do that kind 108 00:06:19,000 --> 00:06:20,920 Speaker 1: of stuff, you have pink noise. 109 00:06:21,920 --> 00:06:24,039 Speaker 2: Yeah, And you know, I just realized I have my 110 00:06:24,520 --> 00:06:27,600 Speaker 2: app here I might as well figure out what pink 111 00:06:27,640 --> 00:06:30,400 Speaker 2: noise sounds like because I wasn't exactly sure, So we 112 00:06:30,440 --> 00:06:31,760 Speaker 2: can just play this if that's right with you. 113 00:06:36,160 --> 00:06:40,640 Speaker 3: So that's pink. Yeah, that's white. 114 00:06:40,960 --> 00:06:45,599 Speaker 1: Yeah, I couldn't kiss well. 115 00:06:45,720 --> 00:06:47,159 Speaker 3: I mean that does sound like ocean waves. 116 00:06:47,160 --> 00:06:50,159 Speaker 2: That's brown, okay, But my app has a bunch of 117 00:06:50,200 --> 00:06:52,880 Speaker 2: other colors, and I'm not sure if this is like, hey, 118 00:06:52,960 --> 00:06:53,800 Speaker 2: let's just go crazy. 119 00:06:53,800 --> 00:06:55,640 Speaker 3: But there's also purple noise, blue noise? 120 00:06:55,760 --> 00:06:57,480 Speaker 1: Which app are you talking about? Dwell Spring? 121 00:06:58,440 --> 00:06:59,760 Speaker 3: No, no, no, this is a different one. 122 00:06:59,800 --> 00:07:02,640 Speaker 2: But uh yeah, our our friend actually developed a white 123 00:07:02,680 --> 00:07:03,360 Speaker 2: noise app, right. 124 00:07:03,320 --> 00:07:06,680 Speaker 1: Yeah, it's called dwell Spring. The guy who created our website, 125 00:07:06,720 --> 00:07:10,080 Speaker 1: Brandon Reid, friend of the show and just friend in general, 126 00:07:10,160 --> 00:07:14,320 Speaker 1: and also h one time world record holder Guinness record 127 00:07:14,320 --> 00:07:18,760 Speaker 1: holder of the four piggyback Man. Yeah, he created just 128 00:07:18,800 --> 00:07:22,880 Speaker 1: a world class sound generator app. And in addition to 129 00:07:22,880 --> 00:07:25,920 Speaker 1: all this the different colored noises, he also has things 130 00:07:25,960 --> 00:07:30,040 Speaker 1: like a box fan, the airplane cabin sound. 131 00:07:30,680 --> 00:07:32,640 Speaker 2: That's the one I use on my app, but I 132 00:07:32,680 --> 00:07:34,680 Speaker 2: forgot Brandon had his. I'm gonna switch over it just 133 00:07:34,720 --> 00:07:35,120 Speaker 2: to support. 134 00:07:35,200 --> 00:07:37,080 Speaker 1: Yeah. It's really great. I mean like it's a really 135 00:07:37,120 --> 00:07:40,160 Speaker 1: good app The one that got me was crackling fireplace 136 00:07:40,320 --> 00:07:41,560 Speaker 1: in a thunderstorm. 137 00:07:42,320 --> 00:07:46,640 Speaker 3: Oh buddy Niche, Yeah, exactly so, but that just put 138 00:07:46,640 --> 00:07:47,480 Speaker 3: me to sleep thinking about it. 139 00:07:47,520 --> 00:07:49,720 Speaker 1: So check out dwell spring. It's it really is a 140 00:07:49,720 --> 00:07:52,960 Speaker 1: good app and I think it's everywhere you can get apps. 141 00:07:54,000 --> 00:07:56,640 Speaker 3: I'm sure it is nice work, Brandon. So back to 142 00:07:56,680 --> 00:07:57,240 Speaker 3: the noises. 143 00:07:57,320 --> 00:07:59,280 Speaker 2: Like as far as which one is best for sleep, 144 00:07:59,600 --> 00:08:02,920 Speaker 2: there have been some very middling studies over the years. 145 00:08:03,600 --> 00:08:04,560 Speaker 3: We'll mention a few of them. 146 00:08:04,600 --> 00:08:06,960 Speaker 2: But the problem with these is, you know, in twenty 147 00:08:07,000 --> 00:08:09,320 Speaker 2: seventeen they were like, hey, let's get eight people in 148 00:08:09,360 --> 00:08:12,440 Speaker 2: here and watch them sleep, or the one in twenty 149 00:08:12,480 --> 00:08:14,120 Speaker 2: sixteen they got sixteen people. 150 00:08:15,120 --> 00:08:17,440 Speaker 3: It's just never a lot of folks, you know. I 151 00:08:17,480 --> 00:08:18,000 Speaker 3: guess you know. 152 00:08:18,160 --> 00:08:20,400 Speaker 2: Bed space is probably not the easiest thing to do 153 00:08:20,480 --> 00:08:23,640 Speaker 2: unless people are doing this at home. But at Oxford 154 00:08:23,760 --> 00:08:26,200 Speaker 2: in twenty seventeen, they got those eight people and they 155 00:08:26,240 --> 00:08:29,440 Speaker 2: said that they fell asleep forty percent faster listening to 156 00:08:29,520 --> 00:08:32,319 Speaker 2: white noise, but their overall sleep was about the same. 157 00:08:32,320 --> 00:08:35,480 Speaker 1: Okay, but still falling asleep, not being able to fall 158 00:08:35,520 --> 00:08:39,959 Speaker 1: asleep as a part of yea insomnia, not being sent 159 00:08:40,080 --> 00:08:42,200 Speaker 1: back to sleep as another part of it too, So yeah, 160 00:08:42,520 --> 00:08:45,400 Speaker 1: I mean I would I would say that's great. A 161 00:08:45,480 --> 00:08:49,880 Speaker 1: year before, somebody decided that they wanted to see how 162 00:08:50,920 --> 00:08:54,600 Speaker 1: how much better you could recall vocabulary words if you 163 00:08:54,720 --> 00:08:58,560 Speaker 1: slept using pink noise. Yeah, and I guess there was. 164 00:08:58,720 --> 00:09:01,320 Speaker 1: They they found that sixteen young adults who slept with 165 00:09:01,360 --> 00:09:06,720 Speaker 1: pink noise had slightly improved recollection of vocabulary words. So 166 00:09:06,760 --> 00:09:11,520 Speaker 1: they were like and pickle, whereas the other the control 167 00:09:11,520 --> 00:09:13,120 Speaker 1: group couldn't ever remember pickle. 168 00:09:13,720 --> 00:09:17,079 Speaker 3: They're like the green thing that was a cucumber one. 169 00:09:17,400 --> 00:09:19,720 Speaker 1: They're like, man, I should have slept with pink noise. 170 00:09:20,679 --> 00:09:23,360 Speaker 2: There was a study in twenty seventeen from Northwestern of 171 00:09:23,480 --> 00:09:28,360 Speaker 2: thirteen older adults and they said pink noise provided deeper 172 00:09:28,400 --> 00:09:32,319 Speaker 2: sleep overall and improved again ability to recall. 173 00:09:32,040 --> 00:09:33,840 Speaker 1: Words and again that word with pickle. 174 00:09:34,920 --> 00:09:35,400 Speaker 3: That's right. 175 00:09:35,720 --> 00:09:38,200 Speaker 1: There was a study in Iran. This is probably the 176 00:09:38,200 --> 00:09:40,439 Speaker 1: most robust of all of them. They looked at sixty 177 00:09:40,520 --> 00:09:44,360 Speaker 1: elderly coronary patients and they said half of you are 178 00:09:44,360 --> 00:09:46,840 Speaker 1: going to sleep with white noise. The other half are 179 00:09:46,960 --> 00:09:49,120 Speaker 1: not going to have white noise, but all of you 180 00:09:49,160 --> 00:09:53,040 Speaker 1: are in a hospital. And if you've ever tried to 181 00:09:53,080 --> 00:09:57,280 Speaker 1: sleep in a hospital, it should be illegal the sounds 182 00:09:57,360 --> 00:10:00,560 Speaker 1: that they have, because your sleep just to t rates 183 00:10:00,600 --> 00:10:03,160 Speaker 1: the longer you're in the hospital. It's awful. And he 184 00:10:03,240 --> 00:10:04,680 Speaker 1: took care of a brother when he was in the 185 00:10:04,720 --> 00:10:07,640 Speaker 1: hospital for like three weeks. She would stay there overnight. 186 00:10:07,920 --> 00:10:08,439 Speaker 3: It's tough. 187 00:10:08,840 --> 00:10:11,320 Speaker 1: She would. In addition to just all the beans and 188 00:10:11,320 --> 00:10:14,120 Speaker 1: the beeps and all that stuff. The nurses come in 189 00:10:14,200 --> 00:10:16,600 Speaker 1: and they're just like, hey, how's it going. It's time 190 00:10:16,640 --> 00:10:19,840 Speaker 1: for your blood pressure, like, and it's three in the morning, 191 00:10:19,880 --> 00:10:22,240 Speaker 1: and that happens every like, you know, there's something that 192 00:10:22,280 --> 00:10:24,800 Speaker 1: wakes up every twenty minutes. And it's just so nuts 193 00:10:25,120 --> 00:10:28,280 Speaker 1: that hospitals are just so aloof about that when we 194 00:10:28,320 --> 00:10:32,040 Speaker 1: all know how important sleep is. And then that and 195 00:10:32,040 --> 00:10:35,079 Speaker 1: then nutrition in hospitals is abysmal as well, I should 196 00:10:35,080 --> 00:10:39,280 Speaker 1: say American hospitals. Yeah, I just wanted to go off 197 00:10:39,320 --> 00:10:42,240 Speaker 1: on that because it is something that should be fixed 198 00:10:42,360 --> 00:10:42,960 Speaker 1: in remedy. 199 00:10:43,120 --> 00:10:44,400 Speaker 3: No, it's it's tough. 200 00:10:44,440 --> 00:10:45,959 Speaker 2: If you've ever had to be at a hospital for 201 00:10:46,000 --> 00:10:48,640 Speaker 2: a long time, supporting somebody or just you know, being 202 00:10:48,720 --> 00:10:50,959 Speaker 2: the patient, it is hard to sleep. The beds are 203 00:10:50,960 --> 00:10:54,120 Speaker 2: not great and they're always throwing on those fluorescent lights 204 00:10:54,160 --> 00:10:55,360 Speaker 2: right when you're dozing off. 205 00:10:55,520 --> 00:10:57,640 Speaker 1: It'd be like going to get your tires changed at 206 00:10:57,679 --> 00:11:02,000 Speaker 1: sears and they keep tax all over the floor, you know, 207 00:11:02,280 --> 00:11:05,520 Speaker 1: like they're trying to they're just sabotaging themselves and doing 208 00:11:05,559 --> 00:11:07,320 Speaker 1: what they're supposed to be doing, which is healing. 209 00:11:08,640 --> 00:11:11,040 Speaker 2: Yeah, that's a good point, and we should say the 210 00:11:11,040 --> 00:11:13,680 Speaker 2: results of the study in the control group, they found 211 00:11:13,679 --> 00:11:16,960 Speaker 2: the quality of sleep degraded as they obviously spent multiple 212 00:11:17,040 --> 00:11:20,480 Speaker 2: nights there with all those beeps and you know, let 213 00:11:20,480 --> 00:11:24,280 Speaker 2: me check your blood blood pressures happening. Once they had 214 00:11:24,320 --> 00:11:27,280 Speaker 2: the ones who had the white noise, they are quality 215 00:11:27,320 --> 00:11:30,400 Speaker 2: of sleep remained basically the same throughout their stay, so 216 00:11:30,440 --> 00:11:31,640 Speaker 2: it did not degrade over time. 217 00:11:31,720 --> 00:11:34,640 Speaker 1: Yeah, not that it's great, Yeah for sure. I mean, 218 00:11:34,760 --> 00:11:37,240 Speaker 1: like just put a white noise generator in every single 219 00:11:37,640 --> 00:11:40,000 Speaker 1: room or give every patient dwell spring. 220 00:11:41,040 --> 00:11:44,720 Speaker 2: Yeah, exactly. Or you know, there there's that app, there's 221 00:11:44,760 --> 00:11:49,720 Speaker 2: other apps. There are standalone sound machines that you can get. 222 00:11:49,760 --> 00:11:51,400 Speaker 2: You know, it's just a little thing that you put 223 00:11:51,400 --> 00:11:54,520 Speaker 2: beside your bed or maybe Jerry has beside her desk 224 00:11:54,520 --> 00:11:56,560 Speaker 2: at work so she can sleep on the job. 225 00:11:57,280 --> 00:11:59,720 Speaker 3: And then as far as like how to use it, Like, that's. 226 00:11:59,559 --> 00:12:02,520 Speaker 2: Up to you, depending on what noise does best for you. 227 00:12:02,559 --> 00:12:06,880 Speaker 2: Try different ones out the volume, try some different ones out. 228 00:12:07,400 --> 00:12:10,280 Speaker 2: I find that I get my very best sort of 229 00:12:10,320 --> 00:12:13,600 Speaker 2: put me to sleep stuff when I run it through 230 00:12:13,640 --> 00:12:17,440 Speaker 2: an actual speaker instead of just through my phone speaker, 231 00:12:18,280 --> 00:12:22,120 Speaker 2: because you get some more deep bass resonance. Oh yeah, 232 00:12:22,240 --> 00:12:26,640 Speaker 2: and my napping trick is I will put a pillow 233 00:12:26,840 --> 00:12:29,920 Speaker 2: over my head and face and stick that phone under 234 00:12:29,920 --> 00:12:33,760 Speaker 2: there with me, and it creates this sort of echoe, 235 00:12:33,800 --> 00:12:35,720 Speaker 2: not echoe, but like a just sort of a it 236 00:12:35,760 --> 00:12:36,440 Speaker 2: traps the sound. 237 00:12:36,480 --> 00:12:38,640 Speaker 3: It's like a cavern of sound. And that really gets me. 238 00:12:38,559 --> 00:12:40,680 Speaker 1: Out that in three shots of rum. 239 00:12:41,040 --> 00:12:43,640 Speaker 3: Yeah, yeah, you know, the afternoon rum. 240 00:12:44,040 --> 00:12:46,640 Speaker 1: You got anything else, man, I got nothing else. I 241 00:12:46,640 --> 00:12:48,360 Speaker 1: think that was very nice of you. Gave some great 242 00:12:48,360 --> 00:12:50,839 Speaker 1: advice to people who have trouble sleeping, which my heart 243 00:12:50,880 --> 00:12:54,760 Speaker 1: goes on. I next people like that for sure. Yeah, yeah, 244 00:12:54,840 --> 00:12:56,280 Speaker 1: I guess. I mean short stuff is out. 245 00:13:00,000 --> 00:13:02,160 Speaker 3: Stuff you Should Know is a production of iHeartRadio. 246 00:13:02,679 --> 00:13:07,000 Speaker 2: For more podcasts myheart Radio, visit the iHeartRadio app, Apple Podcasts, 247 00:13:07,120 --> 00:13:08,959 Speaker 2: or wherever you listen to your favorite shows.