1 00:00:04,320 --> 00:00:16,079 Speaker 1: Thinking Sideways. I don't interest. You never know stories of 2 00:00:16,200 --> 00:00:21,040 Speaker 1: things we simply don't know the answer too. Well. Hi 3 00:00:21,120 --> 00:00:24,079 Speaker 1: there everyone, thanks for joining us. I'm not going to 4 00:00:24,160 --> 00:00:27,640 Speaker 1: say for rejoining us. I'm just gonna say joining us. 5 00:00:28,320 --> 00:00:31,480 Speaker 1: This is Thinking Sideways the podcast. I'm Devin and I'm 6 00:00:31,560 --> 00:00:36,400 Speaker 1: joined by Joe and Steve. As always, as always, we're gonna, 7 00:00:37,080 --> 00:00:39,639 Speaker 1: as Joe would say, solve another mystery. Absolutely we are. 8 00:00:40,479 --> 00:00:43,320 Speaker 1: I'm not going to solve it. I don't know, Joe, 9 00:00:43,360 --> 00:00:46,920 Speaker 1: I guess probably. Well, so we're gonna tackle the hum, 10 00:00:46,960 --> 00:00:52,479 Speaker 1: which is yeah, so into the theories now. So the 11 00:00:52,600 --> 00:00:56,600 Speaker 1: hum is another apparently I'm on the like unexplained sounds 12 00:00:57,080 --> 00:00:59,320 Speaker 1: bandwagon right now. I've been doing them a lot lately. 13 00:00:59,400 --> 00:01:04,640 Speaker 1: I'm super are. Yeah right now. It was like it 14 00:01:04,800 --> 00:01:09,360 Speaker 1: was something else for a while, mysterious middle aged men dying. Yeah, yeah, 15 00:01:09,440 --> 00:01:12,479 Speaker 1: going to another phase. Sorry, so sorry everyone, I'm sorry 16 00:01:13,040 --> 00:01:17,679 Speaker 1: this isn't boring. So the hum is an unexplained noise 17 00:01:17,920 --> 00:01:22,679 Speaker 1: that involves widespread reports of persistent and invasive low humming, 18 00:01:22,840 --> 00:01:27,040 Speaker 1: low frequency humming, rumbling, or like a droning kind of 19 00:01:27,080 --> 00:01:30,039 Speaker 1: noise that makes sense like an airplane, right, make kind 20 00:01:30,080 --> 00:01:33,319 Speaker 1: of Yeah, it's it's often described as like an idoling truck, 21 00:01:34,240 --> 00:01:38,200 Speaker 1: like a eighteen wheeler truck idling. I don't know, I've 22 00:01:38,200 --> 00:01:41,679 Speaker 1: never heard it. I was like, you've never heard an 23 00:01:41,720 --> 00:01:47,240 Speaker 1: eighteen wheeler. Where have you been living forever? If you 24 00:01:48,200 --> 00:01:51,720 Speaker 1: still heard a wheeler jake breaks, you could hear from 25 00:01:51,720 --> 00:01:55,160 Speaker 1: a mile away. Yeah, man. Hums have been widely reported 26 00:01:55,240 --> 00:01:59,200 Speaker 1: by lots of national media, particularly in the UK and 27 00:01:59,280 --> 00:02:03,320 Speaker 1: the United States. So it's mainly English speaking people, Mainly 28 00:02:03,720 --> 00:02:07,000 Speaker 1: speaking people. Yeah, I don't think that's true that here 29 00:02:07,080 --> 00:02:09,280 Speaker 1: the hum, but I think it is true that that's 30 00:02:09,280 --> 00:02:13,000 Speaker 1: where it's both. Let's be honest. The UK in the 31 00:02:13,040 --> 00:02:17,840 Speaker 1: United States are pretty good at reporting stupid stuff. It's 32 00:02:17,840 --> 00:02:21,760 Speaker 1: probably over Africa and they're probably just busy trying to like, 33 00:02:21,800 --> 00:02:24,560 Speaker 1: you know, stay alive. You know, they hear it, but 34 00:02:24,560 --> 00:02:26,840 Speaker 1: they just got better things to do than talk about 35 00:02:26,840 --> 00:02:29,720 Speaker 1: the hum. Yeah. So it's often you'll hear it referred 36 00:02:29,720 --> 00:02:33,240 Speaker 1: to with the like the location affixed to the front 37 00:02:33,240 --> 00:02:35,560 Speaker 1: of it, so like the Bristol home, the Taos hume, 38 00:02:35,919 --> 00:02:39,080 Speaker 1: and it can be really disturbing and apparently in the 39 00:02:39,200 --> 00:02:43,920 Speaker 1: UK it's directly attributed to at least three suicides, which is, 40 00:02:44,360 --> 00:02:47,040 Speaker 1: which is weird. It seems like a strange reason to 41 00:02:47,080 --> 00:02:49,680 Speaker 1: kill yourself. Well, I think you know stuff going on 42 00:02:49,840 --> 00:02:53,799 Speaker 1: as far as as anybody can tell. It's just it's persistent, 43 00:02:53,880 --> 00:02:57,079 Speaker 1: like people can't sleep through it. People, you know, it's 44 00:02:57,120 --> 00:02:59,280 Speaker 1: just there. It's just hearing this hume like over and 45 00:02:59,320 --> 00:03:01,960 Speaker 1: over again. It's almos like that Chinese water torture right 46 00:03:02,080 --> 00:03:04,240 Speaker 1: with the drips, except for it's a sound in your head. 47 00:03:04,960 --> 00:03:08,880 Speaker 1: I can understand how that would be obnoxious, would get old, yeah, 48 00:03:09,160 --> 00:03:12,640 Speaker 1: really old, really fast. Yes. So, as I said, the 49 00:03:12,680 --> 00:03:15,799 Speaker 1: home is kind of like a truck engine idling outside 50 00:03:15,840 --> 00:03:20,120 Speaker 1: of some outside of someone's house. But often it's it's 51 00:03:20,760 --> 00:03:24,280 Speaker 1: people hear it more inside than outside. Like if they're 52 00:03:24,320 --> 00:03:28,160 Speaker 1: hearing it inside and they go outside, it's not as prevalent. Wait. 53 00:03:28,760 --> 00:03:31,800 Speaker 1: So if if I'm hearing what I attribute to be 54 00:03:31,840 --> 00:03:34,440 Speaker 1: a hum and I'm sitting in my house, you go 55 00:03:34,480 --> 00:03:38,120 Speaker 1: outside to explore, right, But it's less it's less loud, 56 00:03:38,480 --> 00:03:41,760 Speaker 1: it's more quiet. Okay, And do do they know why 57 00:03:41,840 --> 00:03:46,560 Speaker 1: that is? I mean, well, I'm just I'm just thinking here. Okay. Well, 58 00:03:46,760 --> 00:03:48,960 Speaker 1: if I'm inside and I don't have the TV on 59 00:03:49,120 --> 00:03:52,480 Speaker 1: or anything like that, there's not as much background noise. 60 00:03:52,480 --> 00:03:55,360 Speaker 1: So I just wonder if background noise outside the wind 61 00:03:55,480 --> 00:03:58,240 Speaker 1: and the trees and you know, dogs and cats and 62 00:03:58,320 --> 00:04:00,400 Speaker 1: whatever it might be, if all of that kind of 63 00:04:00,440 --> 00:04:03,480 Speaker 1: makes it harder for people to pinpoint maybe. I mean, 64 00:04:03,760 --> 00:04:07,120 Speaker 1: it's it's generally accepted that it's not a noise that's 65 00:04:07,160 --> 00:04:09,200 Speaker 1: just coming from inside of like a bunch of different 66 00:04:09,240 --> 00:04:13,160 Speaker 1: individual houses. It's accepted that you know, if it is 67 00:04:13,240 --> 00:04:18,359 Speaker 1: something right, that it's something outside. And so if you 68 00:04:18,360 --> 00:04:20,640 Speaker 1: hear a noise outside that you here very loudly in 69 00:04:20,680 --> 00:04:23,680 Speaker 1: your house and you walk outside out the doors and 70 00:04:23,920 --> 00:04:25,560 Speaker 1: you know, the walls and the insulation and things like that, 71 00:04:25,600 --> 00:04:28,279 Speaker 1: even if there's more background noise, it's going to be 72 00:04:28,320 --> 00:04:31,520 Speaker 1: louder because you're closer to whatever is making the noise. 73 00:04:31,560 --> 00:04:34,320 Speaker 1: Does that make sense? It does, And I guess I 74 00:04:34,320 --> 00:04:37,000 Speaker 1: can follow that if it's coming from if it's a 75 00:04:37,080 --> 00:04:39,960 Speaker 1: noise with the source outside of the earth, to say, 76 00:04:40,000 --> 00:04:41,719 Speaker 1: if you're inside your house, if you say this was 77 00:04:41,760 --> 00:04:44,800 Speaker 1: due to high frequency vibration of the earth itself and 78 00:04:44,839 --> 00:04:49,000 Speaker 1: the ground there, then if you're inside your house, it's 79 00:04:49,040 --> 00:04:51,880 Speaker 1: kind of like being in an echo chamber. It stands 80 00:04:51,880 --> 00:04:54,320 Speaker 1: to reason it would be louder inside if it's from 81 00:04:54,360 --> 00:04:58,120 Speaker 1: that source versus outside. The difference between shooting it gun 82 00:04:58,200 --> 00:05:01,320 Speaker 1: off inside your house and outside your us it's a 83 00:05:01,360 --> 00:05:10,039 Speaker 1: lot louder inside. Sure, Yeah, that's the hum is also 84 00:05:10,800 --> 00:05:14,159 Speaker 1: louder at night than it is that day in day. 85 00:05:14,279 --> 00:05:17,880 Speaker 1: And it does appear to be geographically focused a little bit, 86 00:05:17,960 --> 00:05:22,080 Speaker 1: as in people kind of you can move away from it. 87 00:05:22,240 --> 00:05:25,560 Speaker 1: That makes sense. You can hear it and then getting 88 00:05:25,560 --> 00:05:28,839 Speaker 1: your car and dry. It's a small range, yeah, and 89 00:05:28,880 --> 00:05:31,719 Speaker 1: that it's it's actually focused someplace that it's actually actually 90 00:05:31,720 --> 00:05:34,080 Speaker 1: has a source of some kind. So if any of 91 00:05:34,080 --> 00:05:36,960 Speaker 1: these any of these people, these sufferers, the hearers, have 92 00:05:37,040 --> 00:05:39,080 Speaker 1: any of them actually just taking the trouble to just 93 00:05:39,320 --> 00:05:42,640 Speaker 1: try to localize it, walk towards the source of the noise, yeah, 94 00:05:42,680 --> 00:05:46,600 Speaker 1: and often people can't. One of the things that is 95 00:05:46,680 --> 00:05:50,320 Speaker 1: kind of emerging in this there's this kind of big 96 00:05:50,400 --> 00:05:54,919 Speaker 1: data collection effort that's happening. That's a worldwide HUM data collection. 97 00:05:55,320 --> 00:05:59,200 Speaker 1: It's like a Google doc. Well huge, huge, anybody who 98 00:05:59,240 --> 00:06:01,400 Speaker 1: suffers from it. Anytime you have an instance, you go 99 00:06:01,440 --> 00:06:03,880 Speaker 1: in and you plug in just a massive amount of 100 00:06:03,920 --> 00:06:06,320 Speaker 1: information about like where you heard it, if you heard it. 101 00:06:06,320 --> 00:06:08,240 Speaker 1: More on your left or right, and by and large 102 00:06:08,279 --> 00:06:11,400 Speaker 1: people say they hear it on their left more. And 103 00:06:11,560 --> 00:06:13,240 Speaker 1: you know, you can only follow your left for so 104 00:06:13,279 --> 00:06:16,200 Speaker 1: long before you know, you try and localize it, and 105 00:06:16,240 --> 00:06:18,760 Speaker 1: it's just you know, I don't I don't know. Maddening. 106 00:06:18,760 --> 00:06:20,720 Speaker 1: I think it's the word. Yeah, maddening. I think is 107 00:06:20,760 --> 00:06:24,200 Speaker 1: definitely the word. Yeah. People can actually get away from it, 108 00:06:24,240 --> 00:06:27,120 Speaker 1: but they can't go towards it, I guess. Yeah. In 109 00:06:27,680 --> 00:06:31,000 Speaker 1: one of the weird mysteries of the hum, I'm trying 110 00:06:31,000 --> 00:06:34,799 Speaker 1: to pack up and move. I guess. Also, only about 111 00:06:34,839 --> 00:06:38,480 Speaker 1: two percent of people living in an area that's HUM 112 00:06:38,600 --> 00:06:41,520 Speaker 1: prone they call it a homb prone area can hear it. 113 00:06:41,839 --> 00:06:44,840 Speaker 1: Most of them are from ages fifty to seventy, which 114 00:06:44,880 --> 00:06:48,000 Speaker 1: is kind of weird. Uh it was. That's that's a 115 00:06:48,080 --> 00:06:50,120 Speaker 1: statistic from a study that was done in two thousand 116 00:06:50,200 --> 00:06:53,920 Speaker 1: thirteen by an acoustical consultant who lives in Surrey. So 117 00:06:54,240 --> 00:07:01,040 Speaker 1: that's weird a little bit, right, Yeah, it's not weird, Okay. 118 00:07:01,680 --> 00:07:04,400 Speaker 1: So I'm just gonna do a little bit of a 119 00:07:04,480 --> 00:07:08,880 Speaker 1: list of places then and where the HUM has been reported, 120 00:07:09,760 --> 00:07:13,040 Speaker 1: So in London and Southampton in the nineteen forties, Bristol 121 00:07:13,080 --> 00:07:17,720 Speaker 1: England in nineteen seventy nine, Large Scotland in the nineteen eighties, Taos, 122 00:07:17,800 --> 00:07:24,559 Speaker 1: New Mexico in nine, Cocomo, Indiana in n Vancouver, BC 123 00:07:25,240 --> 00:07:31,000 Speaker 1: pre two thousand three, Calgary, Alberta in two thousand eight, Winter, 124 00:07:31,080 --> 00:07:35,080 Speaker 1: Ontario in two thousand nine, Woodland Country Durham in England 125 00:07:35,440 --> 00:07:39,000 Speaker 1: in two thousand and eleven, County Kerry in Ireland in 126 00:07:39,080 --> 00:07:43,720 Speaker 1: two thousand twelve, Seattle, Washington two thousand twelve, Wellington, New 127 00:07:43,840 --> 00:07:48,640 Speaker 1: Zealand in two thousand twelve, the Italian National Research Council 128 00:07:48,800 --> 00:07:54,000 Speaker 1: in Pizza, Italy in two thirteen, in Guadalajara in two 129 00:07:53,920 --> 00:07:58,120 Speaker 1: thousand thirteen, and Kalima in two thousand thirteen. So it 130 00:07:58,160 --> 00:08:00,800 Speaker 1: seems to be getting more prevalent a little bit too, right. 131 00:08:01,880 --> 00:08:04,360 Speaker 1: I don't know if it's more prevalent or just people 132 00:08:04,560 --> 00:08:08,680 Speaker 1: know that there's a way to complain about it. Yeah, 133 00:08:09,040 --> 00:08:11,560 Speaker 1: they've heard about it now. So now, did it just 134 00:08:11,640 --> 00:08:14,200 Speaker 1: like Santaos? I thought that was an ongoing phenomenon? Did 135 00:08:14,200 --> 00:08:17,040 Speaker 1: it just it is? I think that was the first began. Yeah, 136 00:08:17,520 --> 00:08:21,040 Speaker 1: I said, I already mentioned that there's an age kind 137 00:08:21,080 --> 00:08:24,840 Speaker 1: of range, kind of an age range for this. There's 138 00:08:24,880 --> 00:08:29,280 Speaker 1: also apparently only one third of the sufferers are male 139 00:08:29,360 --> 00:08:32,760 Speaker 1: to two thirds female, which is a little interesting as well, 140 00:08:33,320 --> 00:08:36,920 Speaker 1: I feel, and there's a very defined age curve that 141 00:08:37,320 --> 00:08:39,640 Speaker 1: people under the age of forty tend to like not 142 00:08:40,440 --> 00:08:43,600 Speaker 1: here at all. Well, I could, I could almost I 143 00:08:43,640 --> 00:08:48,240 Speaker 1: could almost see some easy answers to those those numbers. 144 00:08:48,920 --> 00:08:54,200 Speaker 1: So the only one third of the here's are men, correct, 145 00:08:54,960 --> 00:08:57,960 Speaker 1: And it's also people under forty five tend not to 146 00:08:58,040 --> 00:09:02,240 Speaker 1: hear it. Well, that seems pretty easy to me because 147 00:09:02,960 --> 00:09:05,760 Speaker 1: people who were above forty five are from the era 148 00:09:05,840 --> 00:09:08,439 Speaker 1: when we didn't use a lot of safety precautions. So 149 00:09:08,920 --> 00:09:12,679 Speaker 1: I'm talking large machinery all day long, and that was 150 00:09:12,800 --> 00:09:17,440 Speaker 1: typically run by men. Okay, so riddle me this. Then 151 00:09:19,040 --> 00:09:21,960 Speaker 1: of males to females, so well, riddle me this, batman. 152 00:09:22,600 --> 00:09:26,680 Speaker 1: Many of the HUM sufferers are either partially or mostly deaf. 153 00:09:27,400 --> 00:09:32,040 Speaker 1: Partially are totally deaf, So there's not a good explanation 154 00:09:32,120 --> 00:09:35,040 Speaker 1: for that. There's just not Okay, well, there might be, actually, 155 00:09:35,400 --> 00:09:38,600 Speaker 1: But I do agree though, that it's not surprising that 156 00:09:38,679 --> 00:09:41,120 Speaker 1: people in the older age group would be would be 157 00:09:41,160 --> 00:09:43,600 Speaker 1: more likely to have already sustained some sort of damage 158 00:09:43,640 --> 00:09:46,440 Speaker 1: to their ears that could cause something like this to happen, 159 00:09:46,480 --> 00:09:49,200 Speaker 1: it would make sense to me. I also mentioned the 160 00:09:49,320 --> 00:09:53,040 Speaker 1: left side more than the right side, and apparently some 161 00:09:53,800 --> 00:09:55,560 Speaker 1: people who are affected by the hum, not all, but 162 00:09:55,679 --> 00:09:59,480 Speaker 1: some can get relief from actually physically closing off their 163 00:09:59,559 --> 00:10:05,280 Speaker 1: left ear, putting their hand over their ear, basically sleep. 164 00:10:05,440 --> 00:10:09,079 Speaker 1: Maybe I don't know. I don't know. Maybe it seems 165 00:10:09,120 --> 00:10:10,920 Speaker 1: to be the physical act of putting the hand over 166 00:10:10,920 --> 00:10:15,160 Speaker 1: the ear, but I could be it may just be. Yeah, 167 00:10:15,320 --> 00:10:17,360 Speaker 1: it turns out if I put my Beats by Dr 168 00:10:17,400 --> 00:10:21,000 Speaker 1: Dre on my head, I don't hear the home because 169 00:10:21,000 --> 00:10:25,280 Speaker 1: I don't hear anything. This episode of Thinking Sideways brought 170 00:10:25,320 --> 00:10:30,920 Speaker 1: to you by Beats. You are there any known recordings 171 00:10:30,920 --> 00:10:34,720 Speaker 1: of this kind of um. There's a lot of YouTube 172 00:10:34,800 --> 00:10:38,560 Speaker 1: videos of hums or humlike phenomena, which is interesting and 173 00:10:38,600 --> 00:10:41,200 Speaker 1: I think is actually a fairly solid argument against some 174 00:10:41,240 --> 00:10:44,440 Speaker 1: of the theories we're going to talk about. But it's 175 00:10:44,440 --> 00:10:46,559 Speaker 1: hard to tell. I mean, you know, it's so easy 176 00:10:46,640 --> 00:10:51,679 Speaker 1: to edit a video, especially there are a lot that 177 00:10:51,720 --> 00:10:54,120 Speaker 1: I've watched and been like, well, that's like just out 178 00:10:54,120 --> 00:10:56,880 Speaker 1: a garage band, Like I know that effect really well, 179 00:10:57,320 --> 00:10:58,880 Speaker 1: you know, But there are there are others that I've 180 00:10:58,920 --> 00:11:01,240 Speaker 1: listened to that. I'm like, I've heard a lot of 181 00:11:01,280 --> 00:11:04,040 Speaker 1: them where I was, okay, well, I want to hear 182 00:11:04,120 --> 00:11:07,040 Speaker 1: this the sky wherever finds it, and you can tell 183 00:11:07,440 --> 00:11:10,640 Speaker 1: that they have just gone in and crank the volume, 184 00:11:10,640 --> 00:11:12,920 Speaker 1: because if you've ever listened to an audio track when 185 00:11:12,960 --> 00:11:15,719 Speaker 1: it peeks out and it's just hitting the top and 186 00:11:15,880 --> 00:11:19,240 Speaker 1: the wind is really loud, and then things just start 187 00:11:19,320 --> 00:11:22,400 Speaker 1: keep hitting that upper range and getting caught off by 188 00:11:22,440 --> 00:11:25,480 Speaker 1: the audio program, that's what I wonder. How much these 189 00:11:25,480 --> 00:11:30,480 Speaker 1: things are doctored to make it quote unquote hearable. Yeah, yeah, 190 00:11:30,520 --> 00:11:32,960 Speaker 1: I think that's definitely true. But I think that there 191 00:11:32,960 --> 00:11:35,560 Speaker 1: are a couple and I will make my best effort 192 00:11:35,640 --> 00:11:39,160 Speaker 1: to find them so that we can include them before 193 00:11:39,200 --> 00:11:42,160 Speaker 1: you know, often they get taken down or whatever. I'll 194 00:11:42,160 --> 00:11:43,960 Speaker 1: try my best to find some good ones so that 195 00:11:44,000 --> 00:11:46,360 Speaker 1: we can put them on the website, because I think 196 00:11:46,360 --> 00:11:48,520 Speaker 1: there are a few out there at least that are 197 00:11:48,559 --> 00:11:53,240 Speaker 1: really compelling and interesting. So is this um? Is it 198 00:11:53,400 --> 00:11:59,000 Speaker 1: something some mysterious creature humming a tune? Maybe just chuper 199 00:11:59,040 --> 00:12:03,200 Speaker 1: cobra to keep the cobra. Finally we figured it out, 200 00:12:04,280 --> 00:12:06,920 Speaker 1: So do you want to talk about she didn't buy 201 00:12:06,920 --> 00:12:13,199 Speaker 1: that at all. How enthusiastic we solve the mystery, we 202 00:12:13,320 --> 00:12:16,480 Speaker 1: can start drinking beer now, Oh, you're right, I do. Okay. 203 00:12:16,520 --> 00:12:20,000 Speaker 1: I want to talk about two specific places because they've 204 00:12:20,000 --> 00:12:22,760 Speaker 1: done they've actually done research on both of them. So 205 00:12:22,840 --> 00:12:26,080 Speaker 1: first we're going to talk about Bristol, England, which was 206 00:12:26,080 --> 00:12:28,600 Speaker 1: one of the first places, as uh you may recall 207 00:12:28,640 --> 00:12:31,320 Speaker 1: on that list that I rapidly read off where the 208 00:12:31,400 --> 00:12:35,120 Speaker 1: hum was reported about eight hundred people in this coastal city, 209 00:12:35,160 --> 00:12:39,480 Speaker 1: which is Bristol, right reported having heard a steady like 210 00:12:39,960 --> 00:12:44,480 Speaker 1: thrumming sound. I guess almost thrumbing. That's a good word, right, 211 00:12:45,000 --> 00:12:48,839 Speaker 1: which authorities kind of blamed on vehicular traffic and local 212 00:12:48,880 --> 00:12:56,800 Speaker 1: factories working twenty four hour shifts, which is I guess fair. Now, 213 00:12:56,840 --> 00:12:59,760 Speaker 1: these people that hear this, they hear it all the time. 214 00:13:00,000 --> 00:13:03,079 Speaker 1: It did not intermittently. They hear it more at night 215 00:13:03,120 --> 00:13:05,560 Speaker 1: than during the day. But I guess that seems fairly 216 00:13:05,640 --> 00:13:08,920 Speaker 1: mundane if it is indeed a factory or something, because 217 00:13:08,920 --> 00:13:12,000 Speaker 1: there's more outside noise kind of interfering with that right 218 00:13:12,200 --> 00:13:14,079 Speaker 1: during the day when you're trying to lay down to 219 00:13:14,080 --> 00:13:16,480 Speaker 1: go to sleep, harder to Yeah, that would be acous, 220 00:13:16,559 --> 00:13:21,040 Speaker 1: but but it never for these these people, they reported 221 00:13:21,200 --> 00:13:25,200 Speaker 1: it never stopped. It just kept going seven. Yeah, that's 222 00:13:25,240 --> 00:13:30,400 Speaker 1: that's correct. So they did some studies and the audiologist 223 00:13:30,400 --> 00:13:32,600 Speaker 1: I was talking about earlier conducted these studies in two 224 00:13:32,679 --> 00:13:36,839 Speaker 1: thousand three. The hum frequency was at thirty six hurts. 225 00:13:37,160 --> 00:13:41,079 Speaker 1: And funny side note, before we start talking about thirty 226 00:13:41,160 --> 00:13:43,960 Speaker 1: six hurts, they were instructed on how to construct aluminum 227 00:13:44,000 --> 00:13:45,720 Speaker 1: helmets to be placed over their head when the home 228 00:13:45,800 --> 00:13:50,440 Speaker 1: was happening. You're kidding. They taught them how to make 229 00:13:50,520 --> 00:13:53,320 Speaker 1: tinfoil hat yep, yep, because they thought they would help 230 00:13:53,480 --> 00:13:56,080 Speaker 1: you are making this off. How do they work? Well? 231 00:13:56,360 --> 00:14:00,560 Speaker 1: I don't know. There were no reports. Wow that guy fleeced. Yeah, 232 00:14:01,000 --> 00:14:05,640 Speaker 1: totally custom made hats. While you wait, we'll me two. 233 00:14:07,240 --> 00:14:10,800 Speaker 1: Let's talk about hurts frequencies a little bit. We're just 234 00:14:10,800 --> 00:14:12,640 Speaker 1: gonna we're gonna talk about them when we talk about 235 00:14:12,679 --> 00:14:14,840 Speaker 1: taus in a minute too. But hurts are kind of 236 00:14:15,080 --> 00:14:18,160 Speaker 1: a weird, a morphous thing right now, not a lot 237 00:14:18,200 --> 00:14:20,840 Speaker 1: of us kind of know what they sound like or anything. 238 00:14:20,960 --> 00:14:24,560 Speaker 1: So the hum has been recorded at you know, kind 239 00:14:24,560 --> 00:14:27,920 Speaker 1: of like from the twenty six to maybe like I 240 00:14:27,960 --> 00:14:30,880 Speaker 1: don't know, fifty six hurts or something like that. So 241 00:14:31,160 --> 00:14:33,600 Speaker 1: just to give you a little bit of reference, here's 242 00:14:33,640 --> 00:14:36,760 Speaker 1: what twenty hurts would sound like. Well, and one quick 243 00:14:36,760 --> 00:14:39,800 Speaker 1: thing I'd like to say to everybody, as we've discovered, 244 00:14:40,200 --> 00:14:42,960 Speaker 1: when you're listening to this, depending on the system that 245 00:14:43,000 --> 00:14:46,400 Speaker 1: you're using, you might or might not hear this. Some 246 00:14:46,800 --> 00:14:51,160 Speaker 1: computer laptops especially don't seem to have the speaker capacity 247 00:14:51,240 --> 00:14:54,800 Speaker 1: to produce the sounds. So if you're listening to that, 248 00:14:54,880 --> 00:14:57,000 Speaker 1: you might want to take a second and get some headphones. 249 00:14:57,520 --> 00:15:04,240 Speaker 1: But let's go ahead and listen to twenty hurts. And 250 00:15:04,280 --> 00:15:16,560 Speaker 1: here's what forty would sound like, and sixty and as 251 00:15:16,640 --> 00:15:21,840 Speaker 1: Steve says, eighties heinous. So we're not even gonna go um, 252 00:15:22,200 --> 00:15:25,280 Speaker 1: the Bristol hume is, as we said, the thirties six, 253 00:15:25,440 --> 00:15:31,120 Speaker 1: which is pretty dang close to forty hurts. Yeah, yeah, 254 00:15:31,280 --> 00:15:34,080 Speaker 1: so that's kind of what that sounded like. Put your 255 00:15:34,120 --> 00:15:40,560 Speaker 1: aluminum hats on everything. Uh. In Taos, the you know, 256 00:15:40,640 --> 00:15:45,840 Speaker 1: the hume kind of started being reported in residents complained 257 00:15:46,000 --> 00:15:49,440 Speaker 1: of a low level rumbling noise is what they called it. 258 00:15:49,640 --> 00:15:52,160 Speaker 1: I think it may just be a little bit of semantics, right, 259 00:15:52,320 --> 00:15:59,880 Speaker 1: thrumming and rumbling, probably about one's way more cool and 260 00:16:00,000 --> 00:16:06,200 Speaker 1: British sounds like it's from New Mexico. So a team 261 00:16:06,280 --> 00:16:13,239 Speaker 1: of researchers decided, hey, research, let's go research. Their researchers 262 00:16:13,280 --> 00:16:18,040 Speaker 1: from Los Alamos National Laboratory, the University of New Mexico 263 00:16:18,160 --> 00:16:24,360 Speaker 1: and Sandina National Laboratories, and apparently other regional experts. They 264 00:16:24,600 --> 00:16:28,440 Speaker 1: were unable to identify the source of the sound, but 265 00:16:28,880 --> 00:16:32,480 Speaker 1: they were able to identify the range of the sound, 266 00:16:33,480 --> 00:16:37,760 Speaker 1: which was forty eight to seventy two. Hurts, that seems 267 00:16:37,800 --> 00:16:42,440 Speaker 1: really loud. That's really reported. That's wavelength. That's not that's 268 00:16:42,520 --> 00:16:45,440 Speaker 1: that's not free. That's not like amplitude, right, but it 269 00:16:45,520 --> 00:16:47,800 Speaker 1: just seems like really painful to listen to. Yeah, I'm 270 00:16:47,800 --> 00:16:52,920 Speaker 1: not sure what that well, let's find out what's here. 271 00:16:52,960 --> 00:16:56,120 Speaker 1: It is. Yeah, that's just that's just like it's just 272 00:16:56,160 --> 00:16:58,760 Speaker 1: like wavelength, you know, so higher pitch sounds have a 273 00:16:58,760 --> 00:17:01,880 Speaker 1: shorter wavelength, lower pitch lets have a longer wavelength. It's 274 00:17:01,920 --> 00:17:04,080 Speaker 1: kind of like light. I mean, blue has got a 275 00:17:04,080 --> 00:17:07,639 Speaker 1: shorter wavelength than red has. But that doesn't mean it 276 00:17:07,640 --> 00:17:09,400 Speaker 1: blue is gonna like, you know, hurt your eyes more. 277 00:17:09,480 --> 00:17:11,879 Speaker 1: That all just that all depends on how bright the 278 00:17:11,920 --> 00:17:14,159 Speaker 1: blue light that shining in your eyes is so it 279 00:17:14,160 --> 00:17:16,320 Speaker 1: can be damn So you know what I'm saying, Yeah, 280 00:17:16,520 --> 00:17:20,000 Speaker 1: same thing would sound. That's fair just for listener reference 281 00:17:20,040 --> 00:17:26,000 Speaker 1: of seventy two hurts hurts a lot, according to Steve. 282 00:17:26,680 --> 00:17:29,760 Speaker 1: One other one I'd like to mention is the Auckland 283 00:17:29,840 --> 00:17:34,439 Speaker 1: hum which is Auckland, New Zealand, and a doctor Tom 284 00:17:34,560 --> 00:17:40,120 Speaker 1: Moyer of the Massi University in Auckland recorded it, which 285 00:17:40,200 --> 00:17:42,399 Speaker 1: is awesome. We'll put a link to that on the 286 00:17:42,440 --> 00:17:48,480 Speaker 1: website if we can find it. And apparently it's spectral 287 00:17:48,520 --> 00:17:53,520 Speaker 1: density peaked at a frequency of fifties six hurts. All right, 288 00:17:53,560 --> 00:17:56,480 Speaker 1: So that's that's what we know about the hub. Yeah, okay, 289 00:17:57,000 --> 00:18:01,680 Speaker 1: a lot of great, super awesome information. Yeah, it's it's 290 00:18:01,760 --> 00:18:04,840 Speaker 1: it's I know, we just listen to them. It's a 291 00:18:04,880 --> 00:18:07,000 Speaker 1: lot of numbers that it's a lot of ranges, and 292 00:18:07,000 --> 00:18:10,160 Speaker 1: it's so it's hard to and this is I'm gonna 293 00:18:10,280 --> 00:18:12,000 Speaker 1: say this, I said this before, but it's just it's 294 00:18:12,040 --> 00:18:16,840 Speaker 1: hard for me to imagine what that's like with background noise. 295 00:18:16,880 --> 00:18:19,159 Speaker 1: I mean, listening to it on so and pure I 296 00:18:19,200 --> 00:18:22,520 Speaker 1: would drive me bonkers very quickly. But with so much 297 00:18:22,520 --> 00:18:24,320 Speaker 1: background noise it's just hard for me to kind of 298 00:18:24,359 --> 00:18:27,200 Speaker 1: think what that would be like. Then again, I live 299 00:18:27,280 --> 00:18:29,480 Speaker 1: near a kind of a big road, so I randomly 300 00:18:29,520 --> 00:18:32,800 Speaker 1: hear truck to Jake breaking, I think, is the one 301 00:18:32,840 --> 00:18:35,520 Speaker 1: example you made. I hear that, and I don't even 302 00:18:35,520 --> 00:18:38,240 Speaker 1: really pay attention to it, just because I tune it 303 00:18:38,240 --> 00:18:40,840 Speaker 1: out naturally. So yeah, this, to me, this is something 304 00:18:40,880 --> 00:18:43,280 Speaker 1: I would just naturally tune or like the light rail 305 00:18:43,480 --> 00:18:45,440 Speaker 1: or like the train or like that. You know, when 306 00:18:45,480 --> 00:18:47,920 Speaker 1: you live near things like that, you just tune them out. 307 00:18:48,400 --> 00:18:51,400 Speaker 1: But for whatever reason, this seems to impact people differently 308 00:18:51,400 --> 00:18:55,760 Speaker 1: than just like a mundane whatever sound going past one, 309 00:18:55,800 --> 00:18:57,720 Speaker 1: probably because it goes on all the time, you know, 310 00:18:58,000 --> 00:18:59,639 Speaker 1: I would think that you would just get used to 311 00:18:59,680 --> 00:19:02,879 Speaker 1: it stuff hearing it. So one of the we're going 312 00:19:02,960 --> 00:19:07,400 Speaker 1: to jump into the theories, and one of the theories 313 00:19:07,800 --> 00:19:10,840 Speaker 1: is Tonitus. And I want to say a little caveat 314 00:19:10,880 --> 00:19:13,720 Speaker 1: about all of these theories first, but I would say 315 00:19:13,760 --> 00:19:16,800 Speaker 1: that it's a lot like Tonitus, and that like if 316 00:19:16,800 --> 00:19:19,080 Speaker 1: you have tonightas you hear it all the time, you 317 00:19:19,160 --> 00:19:22,040 Speaker 1: don't actually get used to it, and it can become 318 00:19:22,080 --> 00:19:24,120 Speaker 1: more or less annoying, of course, depending on your kind 319 00:19:24,119 --> 00:19:26,320 Speaker 1: of moods and things like that. You never get used 320 00:19:26,320 --> 00:19:29,560 Speaker 1: to it, you never tune it out. It's always there, Tonitas. 321 00:19:30,160 --> 00:19:33,720 Speaker 1: You tune tonitas, you turned it out if you've got 322 00:19:33,720 --> 00:19:35,800 Speaker 1: other things going on, But when you're laying asleep at 323 00:19:36,000 --> 00:19:40,080 Speaker 1: in bed. I mean, I'm evidently better tuning things. Apparently 324 00:19:40,119 --> 00:19:44,320 Speaker 1: you are. I can't do it at all. So the 325 00:19:44,320 --> 00:19:47,040 Speaker 1: caveat that I do want to say is that most 326 00:19:47,119 --> 00:19:52,119 Speaker 1: researchers who are actively investigating the home express kind of 327 00:19:52,200 --> 00:19:56,600 Speaker 1: utter confidence that the hum is is a real thing. 328 00:19:56,920 --> 00:20:00,800 Speaker 1: It's not like a like a psychological disord order, it's 329 00:20:00,840 --> 00:20:03,240 Speaker 1: not something that's just like happening in people's heads. And 330 00:20:03,320 --> 00:20:06,199 Speaker 1: it's not a hoax, which is you know, those are 331 00:20:06,240 --> 00:20:08,360 Speaker 1: kind of three things that people bring up. They say, well, 332 00:20:08,359 --> 00:20:10,720 Speaker 1: it's just something wrong with these people, or they're just 333 00:20:10,880 --> 00:20:15,719 Speaker 1: lying or whatever. The most researchers say, no, we do 334 00:20:15,760 --> 00:20:18,960 Speaker 1: believe this is actually happening. It's real, and it's something 335 00:20:19,240 --> 00:20:23,480 Speaker 1: external not internal. Fair. All right, I want to jump 336 00:20:23,520 --> 00:20:26,399 Speaker 1: into some fun theories first before we say things like 337 00:20:26,520 --> 00:20:31,040 Speaker 1: it's tonitus. Is that cool with you guys? All right? 338 00:20:31,080 --> 00:20:34,359 Speaker 1: My first favorite theory is that it's a leftover gift 339 00:20:34,440 --> 00:20:39,679 Speaker 1: from Nikola Tesla. Yeah, that it's um a result of 340 00:20:39,720 --> 00:20:44,000 Speaker 1: a low frequency electromagnetic radiation that is audible only to 341 00:20:44,040 --> 00:20:48,480 Speaker 1: some people, right, and that they're apparently verified cases that 342 00:20:48,640 --> 00:20:52,879 Speaker 1: individuals who there is a certain percentage of the population 343 00:20:53,440 --> 00:20:57,480 Speaker 1: that is extra sensitive to hearing noises like this, which 344 00:20:57,520 --> 00:21:00,800 Speaker 1: would be I think about two which the population that 345 00:21:00,840 --> 00:21:04,280 Speaker 1: can hear homes. But radiation is not annoyed, not noise though, 346 00:21:04,280 --> 00:21:08,639 Speaker 1: it's that's like radiation, like electromagnetic radiation, yeah, which is 347 00:21:08,680 --> 00:21:11,720 Speaker 1: like apparently radio waves, all that stuff, all that stuff 348 00:21:11,760 --> 00:21:15,600 Speaker 1: is on the electromagnetic spect Apparently some people can actually 349 00:21:15,880 --> 00:21:20,960 Speaker 1: translate radiation in the noises. Yeah, apparent also get the 350 00:21:21,000 --> 00:21:26,919 Speaker 1: local radio station on the filling us. I mean, you know, 351 00:21:26,960 --> 00:21:29,399 Speaker 1: it's it's a range that's outside of normal human hearing 352 00:21:29,760 --> 00:21:33,080 Speaker 1: to be sure, But apparently there's a certain percentage of 353 00:21:33,080 --> 00:21:37,359 Speaker 1: the population who can actually hear these things people talk about. 354 00:21:37,720 --> 00:21:39,960 Speaker 1: But you can't hear like radio waves. I mean what 355 00:21:40,040 --> 00:21:43,560 Speaker 1: I could see where maybe your brain somehow receives them 356 00:21:43,640 --> 00:21:49,200 Speaker 1: and translates them into what perceived sound your brain or something, 357 00:21:49,280 --> 00:21:52,000 Speaker 1: but they're not actually hearing anything, right, the brain thinks 358 00:21:52,040 --> 00:21:54,560 Speaker 1: they're hearing something, right, Well, it's translating into that's what 359 00:21:54,600 --> 00:21:58,800 Speaker 1: your brain does. That translates what the earbones are, which 360 00:21:58,840 --> 00:22:01,320 Speaker 1: would help to ex lane why deaf people can hear 361 00:22:01,359 --> 00:22:05,440 Speaker 1: them right, That it's not actually a sound, that it's 362 00:22:05,480 --> 00:22:07,880 Speaker 1: a wave that hits people in a certain way. Now 363 00:22:08,200 --> 00:22:12,320 Speaker 1: explain to me again this people who are deaf are 364 00:22:12,359 --> 00:22:16,080 Speaker 1: reporting it, or is it people who are hard of hearing? Okay, 365 00:22:16,119 --> 00:22:21,040 Speaker 1: because what I think of is for people who can't hear, 366 00:22:21,840 --> 00:22:28,160 Speaker 1: they're much more sensitive to pressure. If you've ever ever 367 00:22:28,280 --> 00:22:30,520 Speaker 1: been to an event, I don't know if you guys 368 00:22:30,520 --> 00:22:32,439 Speaker 1: have ever done this. I did it once and it 369 00:22:32,480 --> 00:22:36,199 Speaker 1: was a dance for a local organization that was a 370 00:22:36,240 --> 00:22:41,600 Speaker 1: deaf organization, and the music was blaringly loud, and they 371 00:22:41,640 --> 00:22:44,400 Speaker 1: had the base cranked up. And if you've ever been 372 00:22:44,440 --> 00:22:47,000 Speaker 1: near a speaker when the base is thumping and you 373 00:22:47,040 --> 00:22:50,880 Speaker 1: can you can feel that pressure wave. And and that's 374 00:22:50,920 --> 00:22:54,640 Speaker 1: why I question if it's really a sound if they're 375 00:22:54,680 --> 00:22:58,160 Speaker 1: reporting it, because the way that they know to interpret 376 00:22:58,200 --> 00:23:00,399 Speaker 1: these loud noises are these things like this says they 377 00:23:00,440 --> 00:23:02,960 Speaker 1: know it's kind of a pressure wave. It's just kind 378 00:23:03,000 --> 00:23:05,800 Speaker 1: of a learning response that I tell you, that's what 379 00:23:05,840 --> 00:23:08,280 Speaker 1: it is. So now you Okay, I get it. So 380 00:23:08,320 --> 00:23:10,480 Speaker 1: that's why I questioned that because it seems more of 381 00:23:10,520 --> 00:23:15,080 Speaker 1: a pressure issue than a sound issue. It maybe Joe, 382 00:23:15,880 --> 00:23:18,719 Speaker 1: you had a theory about elf actually is it one 383 00:23:18,720 --> 00:23:21,680 Speaker 1: of the ones with a little green point else a 384 00:23:21,680 --> 00:23:24,760 Speaker 1: little with the elves? Well, some people I did. This 385 00:23:24,800 --> 00:23:26,280 Speaker 1: is not a theory I came up with. Some people 386 00:23:26,359 --> 00:23:29,359 Speaker 1: have speculated that it might be extremely low frequency radio 387 00:23:29,400 --> 00:23:32,240 Speaker 1: waves that aren't kind of similar to this testa thing, 388 00:23:32,960 --> 00:23:37,439 Speaker 1: and the US actually has in the Soviets had I 389 00:23:37,480 --> 00:23:40,879 Speaker 1: think still have these things that these transmitters in the Midwest. 390 00:23:40,920 --> 00:23:44,240 Speaker 1: Actually they were like miss Wisconsin and Michigan and they 391 00:23:44,240 --> 00:23:47,520 Speaker 1: were actually disbanded in two thousand four, but they were 392 00:23:47,600 --> 00:23:50,880 Speaker 1: used for communicating with submarines. And that's extremely low frequency 393 00:23:50,960 --> 00:23:55,160 Speaker 1: radio waves compenetrate seawater much better than high frequency ones. 394 00:23:55,200 --> 00:23:58,840 Speaker 1: Are just very low frequency ones because these wavelengths are 395 00:23:58,880 --> 00:24:02,600 Speaker 1: so huge. I mean we're talking enormous wavelengths, like you know, 396 00:24:02,680 --> 00:24:06,880 Speaker 1: miles long. That means that essentially you can be very 397 00:24:06,920 --> 00:24:10,439 Speaker 1: simple messages like a little too before letter code to 398 00:24:10,480 --> 00:24:13,159 Speaker 1: a submarine and they received them at a rate of 399 00:24:13,160 --> 00:24:16,200 Speaker 1: about maybe two characters a minute. That's how long these 400 00:24:16,280 --> 00:24:18,359 Speaker 1: radio waves are and then that's just kind of a 401 00:24:18,400 --> 00:24:21,000 Speaker 1: doorbell kind of thing, you know, that's bringing the bell. 402 00:24:21,040 --> 00:24:24,479 Speaker 1: They come up to the shallowers shallower depth where they 403 00:24:24,480 --> 00:24:27,919 Speaker 1: can receive radio transmissions and get instructions from home. So 404 00:24:28,000 --> 00:24:31,120 Speaker 1: we had and the people have been hypothesized, and there's 405 00:24:31,119 --> 00:24:33,639 Speaker 1: been some of the conspiracy theories. There was even an 406 00:24:33,680 --> 00:24:35,720 Speaker 1: episode of The X Files it was done about the LF. 407 00:24:37,400 --> 00:24:40,000 Speaker 1: Did you ever watch the X Files? There was the 408 00:24:40,000 --> 00:24:44,720 Speaker 1: episode where Molder and Scully were out in Nevada and 409 00:24:44,760 --> 00:24:46,560 Speaker 1: they just happened upon that There's this guy who was 410 00:24:46,600 --> 00:24:49,760 Speaker 1: like driving wildly across the state, kept driving ever ever, 411 00:24:50,240 --> 00:24:53,320 Speaker 1: ever further westward because he had this thing in his 412 00:24:53,359 --> 00:24:56,400 Speaker 1: head from from getting ELF waves, and the only way 413 00:24:56,400 --> 00:24:59,360 Speaker 1: he could stop his head from exploding was to keep 414 00:24:59,440 --> 00:25:01,560 Speaker 1: driving in high speed westward. And sort of I don't 415 00:25:01,600 --> 00:25:02,959 Speaker 1: know what what was gonna happened to him. I think 416 00:25:02,960 --> 00:25:04,919 Speaker 1: I think I can't remember how how it all worked out. 417 00:25:04,960 --> 00:25:07,480 Speaker 1: I think eventually you couldn't go any further in its 418 00:25:07,520 --> 00:25:11,960 Speaker 1: head exploder or something like that. But that's anyway I 419 00:25:11,960 --> 00:25:15,160 Speaker 1: said that. But at least for America, you know, we're 420 00:25:15,200 --> 00:25:17,520 Speaker 1: not we're not broadcasting in the E. L F anymore 421 00:25:17,560 --> 00:25:21,080 Speaker 1: and the Soviets, so they tell us, yeah, really now 422 00:25:21,119 --> 00:25:23,240 Speaker 1: they've got better ways to do it now. But yeah, 423 00:25:23,400 --> 00:25:26,840 Speaker 1: so to kind of piggyback on that, like America has 424 00:25:26,960 --> 00:25:30,600 Speaker 1: these weird things going on. Theory is HARP not the 425 00:25:30,720 --> 00:25:34,520 Speaker 1: loan program? No, that's are not the musical instrument. No, 426 00:25:34,720 --> 00:25:38,640 Speaker 1: not the musical instrument. The high frequency active ural research 427 00:25:38,800 --> 00:25:45,600 Speaker 1: program that's up in active high frequency active auroral. Yeah, 428 00:25:46,359 --> 00:25:50,160 Speaker 1: that's a hard word to say. It's up in Alaska. 429 00:25:50,640 --> 00:25:53,080 Speaker 1: It's super technical. I'm not going to get into it. 430 00:25:53,160 --> 00:25:59,920 Speaker 1: There are a lot of acronyms. Basically, it's a really 431 00:26:00,240 --> 00:26:06,560 Speaker 1: advanced piece of technology that is supposed to analyze the 432 00:26:06,760 --> 00:26:13,240 Speaker 1: assan on honest sphere and investigate, um the potential for 433 00:26:14,359 --> 00:26:18,480 Speaker 1: enhancing things like radio communication and surveillance. Show just looked 434 00:26:18,520 --> 00:26:21,840 Speaker 1: really concerned, like I had not accurately portrayed what was 435 00:26:21,880 --> 00:26:24,440 Speaker 1: going on. I mean, you know, it is most basic level. 436 00:26:24,480 --> 00:26:26,560 Speaker 1: It's super easy to google and like find a bunch 437 00:26:26,600 --> 00:26:30,160 Speaker 1: of articles about the reason that people kind of talk 438 00:26:30,200 --> 00:26:33,920 Speaker 1: about this maybe having to do with the HUM is 439 00:26:33,960 --> 00:26:38,119 Speaker 1: because HARP is actually a really huge conspiracy theorist and 440 00:26:38,200 --> 00:26:40,400 Speaker 1: actually we may do an episode on HARP I haven't 441 00:26:40,400 --> 00:26:43,000 Speaker 1: totally decided yet. Well, it's not a conspiracy theorist. It's 442 00:26:43,040 --> 00:26:46,320 Speaker 1: a target for conspiracy theorists. Yeah, target for conspiracy theorists 443 00:26:46,600 --> 00:26:50,440 Speaker 1: who say that it's capable of modifying weather, disabling satellites, 444 00:26:50,480 --> 00:26:53,320 Speaker 1: and exerting mind control over people, and that it's being 445 00:26:53,440 --> 00:26:56,360 Speaker 1: used as a weapon against terrorists. Well that's not such 446 00:26:56,400 --> 00:26:59,200 Speaker 1: a bad thing. Yeah, they're a lot of the people 447 00:26:59,280 --> 00:27:03,280 Speaker 1: who are these conspiracy theorists against HARP say that things 448 00:27:03,359 --> 00:27:07,920 Speaker 1: like earthquakes, drought, storms, and floods, disease diseases like Gulf 449 00:27:08,000 --> 00:27:11,240 Speaker 1: War syndrome and chronic fatigue syndrome are attributed to HARP. 450 00:27:11,480 --> 00:27:14,879 Speaker 1: They also say things like of the t w A 451 00:27:15,280 --> 00:27:19,240 Speaker 1: flight eight hundred, the destruction of the Space Shuttle Columbia 452 00:27:19,800 --> 00:27:23,440 Speaker 1: also attributed to HARP. It's a big old catch net 453 00:27:23,600 --> 00:27:28,000 Speaker 1: for crazy. Yeah. This this seems like a my bank 454 00:27:28,000 --> 00:27:33,240 Speaker 1: account is empty. It's because of HARP. HARP. It's attributed 455 00:27:33,280 --> 00:27:35,960 Speaker 1: for everything. Yeah, although to the credit of you know, 456 00:27:36,080 --> 00:27:39,840 Speaker 1: putting it to this the hum right, it does do 457 00:27:40,119 --> 00:27:44,560 Speaker 1: radio frequencies and it's a pretty big old thing up there, 458 00:27:44,760 --> 00:27:50,680 Speaker 1: So I don't know it's high frequency though, which is 459 00:27:50,760 --> 00:27:55,720 Speaker 1: what Joe kind of brought up high it's high frequency. Yeah, yeah, yeah, 460 00:27:55,760 --> 00:27:57,120 Speaker 1: it's kind of with the other end of the spectrum. 461 00:27:57,400 --> 00:28:00,880 Speaker 1: But you know, maybe people can actually some tiny minority 462 00:28:00,920 --> 00:28:04,840 Speaker 1: of people can receive radio ways high frequency, although I 463 00:28:04,880 --> 00:28:08,280 Speaker 1: don't know that it would necessarily translate to Well, again, 464 00:28:08,359 --> 00:28:11,440 Speaker 1: I think it's it's what we were kind of alluding to. Earliers. 465 00:28:12,200 --> 00:28:15,960 Speaker 1: You can't actually hear it. Your brain is doing the translation, 466 00:28:16,080 --> 00:28:17,680 Speaker 1: but because it doesn't know what it is, it's a 467 00:28:17,840 --> 00:28:20,840 Speaker 1: bad translation. So then it comes out into this weird 468 00:28:21,000 --> 00:28:24,480 Speaker 1: range that people are reporting hearing, which seems to be 469 00:28:24,600 --> 00:28:28,680 Speaker 1: an issue if there's recordings of it. But yeah, there's that, 470 00:28:28,960 --> 00:28:32,840 Speaker 1: there's that whole problem, silly recordings. Yeah, well we don't 471 00:28:32,840 --> 00:28:36,760 Speaker 1: know if those recordings are real though, it's all a lie, 472 00:28:37,520 --> 00:28:41,840 Speaker 1: another conspiracy theory. Okay, So, as we said earlier, some 473 00:28:42,040 --> 00:28:45,360 Speaker 1: people were like, well, it's just timitus, which I think 474 00:28:45,520 --> 00:28:50,640 Speaker 1: is the dumbest answer ever. Don't don't don't mask your feelings, 475 00:28:50,720 --> 00:28:53,760 Speaker 1: just let it out. I'm trying so just to like 476 00:28:54,080 --> 00:28:56,560 Speaker 1: not show them at all. It's I mean, you guys 477 00:28:56,640 --> 00:28:59,040 Speaker 1: know what tenitus is, right, It's that like ringing that 478 00:28:59,080 --> 00:29:01,320 Speaker 1: you hear in your ears, ringing or a high pitch. 479 00:29:01,440 --> 00:29:04,520 Speaker 1: I totally thought was totally normal. That's how I found 480 00:29:04,560 --> 00:29:07,560 Speaker 1: out literally two years ago that not everybody has ringing 481 00:29:07,560 --> 00:29:11,880 Speaker 1: in their ears all the time. You do, yeah, all 482 00:29:12,000 --> 00:29:15,360 Speaker 1: the Yeah, I totally have. Tonightus, I have the same thing. Yeah, yeah, 483 00:29:15,360 --> 00:29:17,880 Speaker 1: I have. I get just an occasional spell. I'll just 484 00:29:17,960 --> 00:29:20,320 Speaker 1: be sitting there and all of a sudden, it's almost 485 00:29:20,360 --> 00:29:23,360 Speaker 1: seems like a little veil goes over my hearing, like 486 00:29:23,480 --> 00:29:25,680 Speaker 1: the volume everything around me goes down, and that's just 487 00:29:25,760 --> 00:29:31,760 Speaker 1: a ringing. That's just old age. Okay, Yeah, that's been 488 00:29:31,800 --> 00:29:35,040 Speaker 1: happening for percentially young age, happening since well, you've been 489 00:29:35,080 --> 00:29:38,720 Speaker 1: an old person since you were born, apparently, so okay, yeah, no, 490 00:29:39,200 --> 00:29:41,920 Speaker 1: I mean, so tonight's if you don't know what it is, 491 00:29:41,960 --> 00:29:44,000 Speaker 1: I guess go look it up, because no, Tonight's is 492 00:29:44,040 --> 00:29:48,320 Speaker 1: actually pretty basic. Yeah. What it is is how how 493 00:29:48,400 --> 00:29:53,560 Speaker 1: you're hearing works. Is that in I don't remember, it's cochlea, 494 00:29:54,120 --> 00:29:58,360 Speaker 1: which is a kind of a spiral shaped vessel in 495 00:29:58,480 --> 00:30:00,640 Speaker 1: your ear looks like a snail, looks like a snail, 496 00:30:00,880 --> 00:30:04,280 Speaker 1: and it's full of fluid, and it's full of hairs, 497 00:30:05,040 --> 00:30:08,240 Speaker 1: and as the fluid in their moves is moved by 498 00:30:08,360 --> 00:30:10,840 Speaker 1: pressure of the sound. The hair has picked that up, 499 00:30:10,880 --> 00:30:13,800 Speaker 1: and your brain interprets that as noise. And so that's 500 00:30:13,840 --> 00:30:18,440 Speaker 1: how we hear when you get really loud noises, things 501 00:30:18,560 --> 00:30:22,080 Speaker 1: that damage you're hearing they think, this is the last 502 00:30:22,120 --> 00:30:23,840 Speaker 1: time I read anything on it is They think that 503 00:30:23,920 --> 00:30:26,360 Speaker 1: what happens is the pressure change in there in your 504 00:30:26,520 --> 00:30:30,080 Speaker 1: in that organ or in that spiral is so violent 505 00:30:30,720 --> 00:30:35,120 Speaker 1: that it actually snaps those hairs or those filaments. And 506 00:30:35,240 --> 00:30:38,560 Speaker 1: so what was you know, let's say this tall the 507 00:30:38,680 --> 00:30:41,520 Speaker 1: length of my finger has now been chopped in half 508 00:30:41,640 --> 00:30:44,680 Speaker 1: or a third of its length, So it's gonna vibrate 509 00:30:45,000 --> 00:30:49,920 Speaker 1: much easier and more rapidly. And so it's sending these 510 00:30:50,000 --> 00:30:52,520 Speaker 1: signals to your brain and saying, I hear noise, I 511 00:30:52,600 --> 00:30:54,840 Speaker 1: hear noise, I hear noise. But it's it's so your 512 00:30:54,880 --> 00:30:58,480 Speaker 1: brain is interpreting this, but it's not actually supposed to 513 00:30:58,520 --> 00:31:01,480 Speaker 1: be that. And it's worth mentioned that it's not only 514 00:31:02,200 --> 00:31:04,720 Speaker 1: you can be born with it. It's not just sound 515 00:31:04,800 --> 00:31:10,400 Speaker 1: damaged that typical frequently that it's sound damaged. Most you know, 516 00:31:10,560 --> 00:31:13,600 Speaker 1: kind of baby boomers have it. Kind of a little 517 00:31:13,600 --> 00:31:16,920 Speaker 1: bit of concerts, Yeah, and you know, a lot of 518 00:31:16,960 --> 00:31:19,280 Speaker 1: people of my generation, which I'm not going to say 519 00:31:19,320 --> 00:31:21,920 Speaker 1: which generation it is, have it because we listen to 520 00:31:22,040 --> 00:31:24,520 Speaker 1: music rell out on our headphones. But yeah, I mean, 521 00:31:24,600 --> 00:31:26,440 Speaker 1: you know, it's just you can be born with it, 522 00:31:26,560 --> 00:31:30,040 Speaker 1: you can do it to yourself, and you can you 523 00:31:30,120 --> 00:31:33,240 Speaker 1: can lose hearing that way, you lose. Most people today 524 00:31:33,480 --> 00:31:38,200 Speaker 1: don't have the same hearing range as people a hundred 525 00:31:38,320 --> 00:31:42,840 Speaker 1: years ago because of cars, because of the frequency that 526 00:31:43,000 --> 00:31:46,560 Speaker 1: cars put out noise all the time, because we're exposed 527 00:31:46,600 --> 00:31:49,520 Speaker 1: to it constantly, it's just damaged and so we don't 528 00:31:49,640 --> 00:31:52,840 Speaker 1: hear all of the noise that a car makes when 529 00:31:52,920 --> 00:31:55,920 Speaker 1: it's on and driving because it's our ears are just 530 00:31:55,960 --> 00:31:58,920 Speaker 1: shot that way. Yeah, so I think you know tonight's 531 00:31:59,520 --> 00:32:02,520 Speaker 1: I think it's very clearly. The problem. The problems with 532 00:32:02,800 --> 00:32:05,800 Speaker 1: this as a theory is it doesn't explain why only 533 00:32:06,440 --> 00:32:10,440 Speaker 1: people only hear it in certain geographic locations. You know, 534 00:32:11,480 --> 00:32:16,000 Speaker 1: it wouldn't also explain the louder at night. Well, I 535 00:32:16,120 --> 00:32:18,880 Speaker 1: think it makes sense to me, like my tonitus, for instance, 536 00:32:19,040 --> 00:32:22,000 Speaker 1: is louder at night because there's less happening, there's less 537 00:32:22,040 --> 00:32:24,640 Speaker 1: to distract me from it. I'm more aware of it. However, 538 00:32:24,760 --> 00:32:28,680 Speaker 1: it doesn't explain why. It only like people age into 539 00:32:28,760 --> 00:32:30,760 Speaker 1: it and out of it. Well, and I can't get 540 00:32:30,800 --> 00:32:34,600 Speaker 1: away from tonitus. I can't drop. Yeah, and it's not like, 541 00:32:34,880 --> 00:32:37,360 Speaker 1: oh man, it's coming from a left ear, like oh, 542 00:32:37,920 --> 00:32:40,240 Speaker 1: you know, like it's there. I know it's in my head. 543 00:32:40,600 --> 00:32:43,200 Speaker 1: I'm not suffering any kind of delusions that like, wow, 544 00:32:43,280 --> 00:32:45,880 Speaker 1: this is a weird noise coming from outside of my head. No, 545 00:32:46,440 --> 00:32:49,080 Speaker 1: And I don't think that has ever been the case. 546 00:32:49,160 --> 00:32:50,600 Speaker 1: Even when I was a child. I don't think I 547 00:32:50,680 --> 00:32:52,680 Speaker 1: was ever like Wow, there's a weird ringing happening all 548 00:32:52,760 --> 00:32:54,600 Speaker 1: around me. It was like, Wow, there's a weird ringing 549 00:32:54,680 --> 00:32:57,640 Speaker 1: happening in my ear. You know. I think people with 550 00:32:57,720 --> 00:33:00,480 Speaker 1: tonight is kind of recognized, Wow, that's a weird happening 551 00:33:00,520 --> 00:33:03,080 Speaker 1: in my ear. And I also it doesn't really go 552 00:33:03,120 --> 00:33:05,600 Speaker 1: away If I cover my ear, that actually gets louder. Yeah, 553 00:33:05,960 --> 00:33:09,840 Speaker 1: makes it worse. Yeah, Well, okay, you never wear ear muffs, 554 00:33:10,120 --> 00:33:13,760 Speaker 1: So we're gonna say no to tenitis tis. There's a 555 00:33:14,000 --> 00:33:16,560 Speaker 1: there's another theory out there that's not as prevalence, that 556 00:33:16,720 --> 00:33:21,320 Speaker 1: it could be what's called tonsor timpanny muscle syndrome. What, Yeah, 557 00:33:21,640 --> 00:33:24,000 Speaker 1: I know, is there it seriously in your ear. There's 558 00:33:24,000 --> 00:33:26,920 Speaker 1: a there's this little muscle called the timpanty muscle. It's 559 00:33:26,960 --> 00:33:29,200 Speaker 1: a it's a muscle that that kind of kind of 560 00:33:29,320 --> 00:33:33,400 Speaker 1: an exert pressure on your ear drum make it tighter 561 00:33:33,600 --> 00:33:37,880 Speaker 1: or less tight. And uh if when this muscle is activated, 562 00:33:38,080 --> 00:33:40,240 Speaker 1: it can actually tighten to the point where it's vibrating 563 00:33:40,280 --> 00:33:42,040 Speaker 1: and you get a sort of sensation that's kind of 564 00:33:42,120 --> 00:33:44,880 Speaker 1: like a rumbling. And you've experienced I experienced it a 565 00:33:44,920 --> 00:33:47,800 Speaker 1: few minutes ago. What I yawned, and you know how 566 00:33:47,840 --> 00:33:49,880 Speaker 1: you want you yawn a real deep beyond sort of 567 00:33:49,960 --> 00:33:53,440 Speaker 1: you feel that sort of yeah, kind of a pop, yeah, 568 00:33:53,600 --> 00:33:56,040 Speaker 1: kind of like this. I hear kind of a sort 569 00:33:56,040 --> 00:33:58,520 Speaker 1: of thing in my ears when I if sometimes seven 570 00:33:58,600 --> 00:34:02,240 Speaker 1: Chevy in his head. Yeah. Yeah. So that that's another possibility, 571 00:34:02,280 --> 00:34:03,920 Speaker 1: is and maybe these people have something going on with 572 00:34:03,960 --> 00:34:06,720 Speaker 1: their their thoughts are timpanty muscles, I guess, yeah, And 573 00:34:06,840 --> 00:34:08,840 Speaker 1: that you know, I guess My problem with that is 574 00:34:08,880 --> 00:34:10,600 Speaker 1: the same kind of with the tonitus. Is that like, 575 00:34:11,040 --> 00:34:14,080 Speaker 1: why only in these certain geographic locations, and why so 576 00:34:14,320 --> 00:34:17,640 Speaker 1: prevalently in these geographic locations, right, It's not like a 577 00:34:17,719 --> 00:34:19,880 Speaker 1: couple of people in this one area are saying, oh 578 00:34:20,000 --> 00:34:22,959 Speaker 1: I hear this noise. It's like two to eleven percent 579 00:34:23,040 --> 00:34:26,279 Speaker 1: of the population in any given kind of hub of 580 00:34:26,400 --> 00:34:28,920 Speaker 1: the hum or hearing it. So I mean, I don't know, 581 00:34:29,040 --> 00:34:31,600 Speaker 1: maybe there's something, Maybe there needs to be more research 582 00:34:31,680 --> 00:34:34,880 Speaker 1: into this syndrome, Maybe there is something that could be 583 00:34:34,920 --> 00:34:38,919 Speaker 1: affecting people in this area. But thinking of research, like saying, 584 00:34:39,000 --> 00:34:43,400 Speaker 1: tause um, how many people in Taos reported this as happening, 585 00:34:43,560 --> 00:34:47,719 Speaker 1: hundreds lots. It was eight hundred in Bristol. I don't 586 00:34:47,719 --> 00:34:49,319 Speaker 1: think I have a number in tause but I think 587 00:34:49,360 --> 00:34:51,680 Speaker 1: it was almost eleven percent or something like that of 588 00:34:51,719 --> 00:34:55,520 Speaker 1: the population. Fairly substantial. And the fact that you can 589 00:34:55,600 --> 00:34:58,760 Speaker 1: record it or that people could measure the like hurts 590 00:34:59,360 --> 00:35:02,920 Speaker 1: that it was right. That to me means that it's external. 591 00:35:03,640 --> 00:35:04,960 Speaker 1: I don't I don't know how they did that if 592 00:35:05,000 --> 00:35:06,840 Speaker 1: they and ID have to like look at the research 593 00:35:06,920 --> 00:35:09,520 Speaker 1: and found out and find out if they actually went 594 00:35:09,560 --> 00:35:14,080 Speaker 1: out found the noise, recorded it and measured it's its wavelength, 595 00:35:14,800 --> 00:35:17,520 Speaker 1: or if they just played like sounds to people who 596 00:35:17,520 --> 00:35:19,040 Speaker 1: claim to be hearing basically to them, like you go 597 00:35:19,120 --> 00:35:22,239 Speaker 1: to the eye doctor and they just play sound as well. 598 00:35:22,280 --> 00:35:24,759 Speaker 1: It's just does this sound like it. How about this? 599 00:35:24,880 --> 00:35:26,759 Speaker 1: How about this? And then finally when they get there, Yeah, 600 00:35:26,760 --> 00:35:29,640 Speaker 1: and then they setting on that articles that I've read 601 00:35:29,640 --> 00:35:32,080 Speaker 1: about people trying to track it down as they've gone 602 00:35:32,120 --> 00:35:36,400 Speaker 1: out with a mike and all of the audio equipment 603 00:35:36,480 --> 00:35:38,800 Speaker 1: that you you know, you're it's portable, you're carrying it, 604 00:35:39,200 --> 00:35:41,960 Speaker 1: and of course as they're listening to it and with 605 00:35:42,120 --> 00:35:44,359 Speaker 1: their the headphones and there, oh wait, I think I've 606 00:35:44,400 --> 00:35:46,759 Speaker 1: found it. They're looking at the meter and the meter 607 00:35:47,000 --> 00:35:50,200 Speaker 1: is registering this stuff. And I think that's how they're 608 00:35:50,239 --> 00:35:53,560 Speaker 1: doing it is actual real world walking around with a 609 00:35:53,680 --> 00:35:56,200 Speaker 1: mic to try and pick it up and pinpoint where 610 00:35:56,239 --> 00:36:00,279 Speaker 1: it's at. Yeah, and then after that, But would be 611 00:36:00,320 --> 00:36:03,960 Speaker 1: interesting to say, say Bristol, for example, if they could 612 00:36:04,000 --> 00:36:06,680 Speaker 1: actually take a map of the city and plot out 613 00:36:06,760 --> 00:36:08,960 Speaker 1: the occurrences of this all over the city and find 614 00:36:09,000 --> 00:36:12,359 Speaker 1: out that's sort of there's an epicenter of it, um 615 00:36:12,719 --> 00:36:16,520 Speaker 1: a uniform across the city, which doesn't really make sense 616 00:36:16,600 --> 00:36:20,600 Speaker 1: to me. They I think they have done that with 617 00:36:20,880 --> 00:36:24,200 Speaker 1: the data collection that they're doing. They say, you have 618 00:36:24,320 --> 00:36:26,480 Speaker 1: to be pretty specific about where you are, and they 619 00:36:26,680 --> 00:36:28,480 Speaker 1: have a map you can see and I don't know, 620 00:36:28,640 --> 00:36:31,560 Speaker 1: I haven't ever, like looked very closely at a city, 621 00:36:32,160 --> 00:36:34,239 Speaker 1: so I can't remember it or I don't know. I 622 00:36:34,280 --> 00:36:36,840 Speaker 1: guess if they do it within a city, but they 623 00:36:36,880 --> 00:36:40,560 Speaker 1: do it within countries. Well, the map on one of 624 00:36:40,640 --> 00:36:42,960 Speaker 1: the links where they were that one where they were mapping. 625 00:36:43,920 --> 00:36:45,839 Speaker 1: I loaded that map. You went all the way down. 626 00:36:46,040 --> 00:36:47,919 Speaker 1: I went all the way down. I I zoomed into 627 00:36:48,000 --> 00:36:51,000 Speaker 1: Portland's just to see what it was like in the city, 628 00:36:51,120 --> 00:36:54,000 Speaker 1: and it's all over the city. And when you're zoomed 629 00:36:54,040 --> 00:36:57,680 Speaker 1: how the country or the world, it's just you know, 630 00:36:57,760 --> 00:37:01,160 Speaker 1: those silly little those little blips that mark your location 631 00:37:01,280 --> 00:37:06,640 Speaker 1: on the Google Maps, just everywhere. And it wasn't until 632 00:37:06,760 --> 00:37:09,960 Speaker 1: you got in pretty closed that they started spreading out. 633 00:37:10,000 --> 00:37:14,560 Speaker 1: So people are reporting them literally everywhere. So if this 634 00:37:14,680 --> 00:37:20,240 Speaker 1: isn't geographically specifically geographic specific, then some form of hearing problem. 635 00:37:20,320 --> 00:37:22,120 Speaker 1: I think it's meant to. I mean, I think it 636 00:37:22,360 --> 00:37:26,799 Speaker 1: is geographically you know. I I don't know how specific 637 00:37:27,360 --> 00:37:31,120 Speaker 1: the data collection that's happening with this HUM website is. 638 00:37:31,400 --> 00:37:34,640 Speaker 1: I don't know if they're actually filtering any reports, you know. 639 00:37:34,760 --> 00:37:36,640 Speaker 1: I know on their website they do say, oh, if 640 00:37:36,640 --> 00:37:38,880 Speaker 1: you're not sure if it's the HUM, don't report it. 641 00:37:39,000 --> 00:37:42,080 Speaker 1: But this is the Internet and it's hard to kind 642 00:37:42,120 --> 00:37:44,640 Speaker 1: of you know, call that down to what's legitimate and 643 00:37:44,760 --> 00:37:47,040 Speaker 1: what's not. Anybody can just go into this document and 644 00:37:47,080 --> 00:37:49,160 Speaker 1: then put put us this stuff in, So you got 645 00:37:49,239 --> 00:37:51,920 Speaker 1: to figure there's at least a few pranks. Well, and 646 00:37:52,040 --> 00:37:54,680 Speaker 1: I also when I was going through it, there are 647 00:37:54,920 --> 00:37:57,880 Speaker 1: you can tell the people who really care because they 648 00:37:58,040 --> 00:38:01,080 Speaker 1: fill in and it's spreadsheet. They in every cell and 649 00:38:01,200 --> 00:38:04,279 Speaker 1: there's a lot of cells, and then there's yes, it's 650 00:38:04,480 --> 00:38:10,160 Speaker 1: like fifteen questions or more per report, but a lot 651 00:38:10,280 --> 00:38:15,160 Speaker 1: of them it'll be the location, the date, and maybe 652 00:38:15,360 --> 00:38:18,080 Speaker 1: one or two other little bits. A lot of people 653 00:38:18,200 --> 00:38:21,719 Speaker 1: are just giving the minimal amount of information, which is 654 00:38:22,239 --> 00:38:26,040 Speaker 1: unfortunately kind of corrupts the research. And because you've got 655 00:38:26,080 --> 00:38:28,879 Speaker 1: a bunch of red herrings. Yeah, so, and it's worth 656 00:38:28,960 --> 00:38:32,240 Speaker 1: mentioning since we're talking about this little data collection thing happening. 657 00:38:32,520 --> 00:38:34,839 Speaker 1: Some of the questions are asking, are you know, how 658 00:38:34,960 --> 00:38:38,160 Speaker 1: close are you to power line or to a power hub? 659 00:38:38,640 --> 00:38:41,239 Speaker 1: How close are you to a gas line? How close 660 00:38:41,280 --> 00:38:43,640 Speaker 1: are you to like these other theories that people have 661 00:38:43,800 --> 00:38:46,600 Speaker 1: kind of thrown out, like maybe it's you know, it's 662 00:38:46,680 --> 00:38:49,520 Speaker 1: just a power station. Maybe it's because these communities are 663 00:38:49,520 --> 00:38:51,920 Speaker 1: close to that. Maybe it's a gas line. Maybe this 664 00:38:52,000 --> 00:38:54,080 Speaker 1: is the noise that gas lines make, you know, things 665 00:38:54,160 --> 00:38:56,279 Speaker 1: like that. They're saying, you know, how close are you 666 00:38:56,360 --> 00:39:00,359 Speaker 1: to this? Looking for man to kind of see if 667 00:39:00,400 --> 00:39:04,520 Speaker 1: there are any really patterns. Yeah, patterns, I guess is 668 00:39:04,520 --> 00:39:06,960 Speaker 1: the word that I was looking for. Yeah, to go 669 00:39:07,080 --> 00:39:14,719 Speaker 1: back to our theories. There's one other one that maybe internal, 670 00:39:14,800 --> 00:39:18,600 Speaker 1: and it's called spontaneous auto acoustic emissions, which I know 671 00:39:18,719 --> 00:39:23,040 Speaker 1: sounds all dirty. I'm sorry everyone, but apparently the human 672 00:39:23,120 --> 00:39:29,320 Speaker 1: ear generates noises called spontaneous auto acoustic emissions, which affect 673 00:39:29,680 --> 00:39:35,480 Speaker 1: like the population, and most people are like unaware of them. 674 00:39:35,640 --> 00:39:37,279 Speaker 1: I guess as far as I can tell, it's kind 675 00:39:37,280 --> 00:39:41,280 Speaker 1: of like tonitis. But it's not. It's not forever. Oh okay, 676 00:39:41,280 --> 00:39:43,960 Speaker 1: I was gonna say, because it's that that sounds exactly 677 00:39:44,040 --> 00:39:46,920 Speaker 1: like tonitus when I was doing the reading, but they 678 00:39:46,920 --> 00:39:50,160 Speaker 1: didn't catch that. It just goes away. Yeah, I think 679 00:39:50,200 --> 00:39:52,680 Speaker 1: it's just like little It happens every once in a while. 680 00:39:53,120 --> 00:39:55,160 Speaker 1: It's not a constant sound as far as I can tell. 681 00:39:55,320 --> 00:40:00,399 Speaker 1: That's the difference. Next is that it's colliding ocean way here. Yeah, 682 00:40:00,480 --> 00:40:01,839 Speaker 1: this this, this is one is kind of a head 683 00:40:01,880 --> 00:40:04,399 Speaker 1: scratcher from I don't I don't like this theory very much. 684 00:40:04,480 --> 00:40:08,480 Speaker 1: I think it's dumb that apparently waves in the deep 685 00:40:08,600 --> 00:40:11,040 Speaker 1: sea can collide in such a way that send out 686 00:40:11,600 --> 00:40:15,520 Speaker 1: a noise. And I think this this mostly pertains to 687 00:40:15,760 --> 00:40:20,239 Speaker 1: coastal communities that are affective. As far as I can tell, Well, 688 00:40:20,320 --> 00:40:23,520 Speaker 1: I think it's I mean, we've all been at the 689 00:40:23,600 --> 00:40:28,080 Speaker 1: ocean when it's really windy and you're not on the beach, 690 00:40:28,200 --> 00:40:30,400 Speaker 1: you're a couple of miles away, but you can still 691 00:40:30,640 --> 00:40:35,320 Speaker 1: hear that noise that's made from the surf. Yeah, And 692 00:40:35,400 --> 00:40:37,920 Speaker 1: I think that's that's where this is going. It's it's well, 693 00:40:38,280 --> 00:40:40,279 Speaker 1: I think it makes a lot of noise. Waterfalls do 694 00:40:40,440 --> 00:40:42,879 Speaker 1: the same thing. I think a little bit. It's it's 695 00:40:42,960 --> 00:40:45,400 Speaker 1: more like a mix of that plus like the blue, 696 00:40:45,719 --> 00:40:49,600 Speaker 1: like these weird noises that happen when like too deep 697 00:40:49,680 --> 00:40:54,920 Speaker 1: ocean waves collide. They make this frequency that can travel. 698 00:40:55,040 --> 00:40:57,880 Speaker 1: It's fairly low frequency. I don't know. I know that 699 00:40:58,160 --> 00:41:01,160 Speaker 1: to some research, this is under water, is what they're saying. No, 700 00:41:01,440 --> 00:41:04,400 Speaker 1: it's in, but it's in deeper oceans. It's not like 701 00:41:04,560 --> 00:41:08,160 Speaker 1: hitting the cost If there if there is like some 702 00:41:08,239 --> 00:41:10,480 Speaker 1: sort of collision that makes a noise like that and 703 00:41:10,600 --> 00:41:14,040 Speaker 1: it's very low frequency. Low frequency sound ways do travel 704 00:41:14,080 --> 00:41:18,000 Speaker 1: a lot further through the water, then I guess the 705 00:41:19,080 --> 00:41:23,239 Speaker 1: US Array Earth Scope, I don't even know what that is, 706 00:41:23,760 --> 00:41:29,040 Speaker 1: has tracked down a series of waves that I guess 707 00:41:29,080 --> 00:41:33,000 Speaker 1: they're kind of like compression waves that do produce kind 708 00:41:33,040 --> 00:41:36,399 Speaker 1: of humming noises a little bit. But I don't think 709 00:41:36,520 --> 00:41:40,840 Speaker 1: that that goes far enough to explain what these people experiencing, 710 00:41:40,880 --> 00:41:44,960 Speaker 1: particularly in a place like Taos, New Mexico. Exactly. You know, 711 00:41:45,000 --> 00:41:47,320 Speaker 1: when these guys are saying, like these the sounds of 712 00:41:47,400 --> 00:41:51,279 Speaker 1: these collisions of waves could travel far far away, that's true, 713 00:41:51,440 --> 00:41:53,520 Speaker 1: but in the water, they're not gonna They don't climb 714 00:41:53,520 --> 00:41:54,840 Speaker 1: out of the water on the west coast of the 715 00:41:54,960 --> 00:41:56,880 Speaker 1: US and walk over to New Mexican, right, So, like 716 00:41:56,960 --> 00:42:00,600 Speaker 1: it might explain Bristol, which is a coastal town, right, 717 00:42:01,320 --> 00:42:05,160 Speaker 1: but it definitely doesn't explain landlocked house like house also, 718 00:42:05,320 --> 00:42:07,839 Speaker 1: I mean, if you know where to houses, but it's 719 00:42:07,920 --> 00:42:13,400 Speaker 1: like pretty north New Mexico, it's like center North New Mexico. 720 00:42:14,120 --> 00:42:19,160 Speaker 1: That's a that's pretty landlocked in the rockies. Is it 721 00:42:19,280 --> 00:42:22,480 Speaker 1: the Rockies suddenly can't think of what that major string 722 00:42:22,600 --> 00:42:26,279 Speaker 1: of mountains that runs through Mexico. Yeah, the Rockies go 723 00:42:26,360 --> 00:42:29,160 Speaker 1: to Colorado, which do you know which side of the 724 00:42:29,280 --> 00:42:34,000 Speaker 1: Rockies houses on. I'm guessing the east side, be my guest. Yeah, 725 00:42:34,080 --> 00:42:36,479 Speaker 1: Which means that you would think that if it's coming 726 00:42:36,560 --> 00:42:40,560 Speaker 1: from the ocean. Okay, let's just say these ultra low 727 00:42:40,640 --> 00:42:45,279 Speaker 1: frequency waves are bouncing up and traveling across the land, 728 00:42:45,480 --> 00:42:50,359 Speaker 1: they're gonna hit mountains, which you're gonna slow them down 729 00:42:50,400 --> 00:42:52,200 Speaker 1: and stop them before they ever got the other side 730 00:42:52,239 --> 00:42:54,400 Speaker 1: for these towns maybe. And then and then you've got 731 00:42:54,480 --> 00:42:57,120 Speaker 1: to think too, that the sound would be incredibly painfully 732 00:42:57,200 --> 00:43:00,759 Speaker 1: loud in coastal communities. You would see this instance more 733 00:43:01,120 --> 00:43:04,200 Speaker 1: definitely in coastal communities, right. I think that, you know, 734 00:43:04,320 --> 00:43:07,200 Speaker 1: I mean as far as natural explanations, So I think 735 00:43:07,239 --> 00:43:11,320 Speaker 1: that seizemic activity or geothermal activity is I don't know 736 00:43:11,320 --> 00:43:13,759 Speaker 1: if anybody has ever investigated that or not. Yeah, I 737 00:43:13,880 --> 00:43:15,719 Speaker 1: think it's it's kind of been floated. I don't think 738 00:43:15,719 --> 00:43:18,360 Speaker 1: anybody has done any kind of serious research into it, however, 739 00:43:19,320 --> 00:43:22,320 Speaker 1: but that it's kind of a nice segue into this 740 00:43:22,560 --> 00:43:26,120 Speaker 1: next theory, which is that it might be underground drilling, 741 00:43:27,520 --> 00:43:30,800 Speaker 1: kind of covert underground drilling, right, so the government's like 742 00:43:31,480 --> 00:43:35,120 Speaker 1: or maybe it's the lizard people, Yeah, the lizard people. 743 00:43:35,640 --> 00:43:39,920 Speaker 1: So I guess there's kind of a consistent trend with 744 00:43:40,200 --> 00:43:45,000 Speaker 1: the communities that this is heard. Is there more suburban 745 00:43:45,880 --> 00:43:49,480 Speaker 1: you know, like more out they're not. They're not rural. 746 00:43:49,719 --> 00:43:53,440 Speaker 1: They're not rural because they are communities. They're like villages 747 00:43:53,520 --> 00:43:56,800 Speaker 1: and towns, but they are not urban. So you know, 748 00:43:56,880 --> 00:43:58,919 Speaker 1: I guess you could kind of say that that would 749 00:43:58,920 --> 00:44:01,279 Speaker 1: be a good target for people to be drilling under, right, 750 00:44:01,280 --> 00:44:03,600 Speaker 1: because there are people there so like and would cover 751 00:44:03,760 --> 00:44:06,279 Speaker 1: up some of the noise or whatever. Right, But it's 752 00:44:06,360 --> 00:44:10,160 Speaker 1: not a thriving metropolitan area. I don't know, well, I 753 00:44:10,200 --> 00:44:12,560 Speaker 1: think it kind of you're talking about like horizontal oil 754 00:44:12,640 --> 00:44:16,320 Speaker 1: drilling or something like cracking, but not really people. But 755 00:44:16,480 --> 00:44:20,400 Speaker 1: people are drilling in the ground constantly. It's not just 756 00:44:20,680 --> 00:44:23,239 Speaker 1: for natural gas and stuff like, I mean, people are 757 00:44:23,320 --> 00:44:29,200 Speaker 1: drilling for wells and things like that, and is full 758 00:44:29,280 --> 00:44:31,440 Speaker 1: of cracks. I mean, the mantle of the ear of 759 00:44:31,800 --> 00:44:34,640 Speaker 1: our planet is not a solid chunk of rock. It 760 00:44:34,800 --> 00:44:37,719 Speaker 1: is full of all kinds of veins and pockets. So 761 00:44:38,440 --> 00:44:41,600 Speaker 1: I mean I can see that. Let's say that I'm 762 00:44:41,719 --> 00:44:44,080 Speaker 1: drilling a hundred miles from here in an area that's 763 00:44:44,200 --> 00:44:46,360 Speaker 1: okay for me to drill for oil or water or 764 00:44:46,360 --> 00:44:50,239 Speaker 1: whatever I'm drilling for, and then those cracks don't just go, 765 00:44:50,560 --> 00:44:52,440 Speaker 1: you know, they go horizontally and then they make their 766 00:44:52,480 --> 00:44:56,080 Speaker 1: way up and that could leak out. I guess there's 767 00:44:56,120 --> 00:44:58,200 Speaker 1: a way to say it. I guess. I just think 768 00:44:58,520 --> 00:44:59,840 Speaker 1: all I can ever think of when I think of 769 00:45:00,040 --> 00:45:08,480 Speaker 1: nderground drilling is Ocean's thirteen when they're drilling under Las Vegas. Yeah, listeners, 770 00:45:08,520 --> 00:45:15,000 Speaker 1: help me out doing the show with old people. Apparently no, um, So, 771 00:45:15,640 --> 00:45:17,160 Speaker 1: I mean they do that. They did it with the 772 00:45:17,239 --> 00:45:20,960 Speaker 1: Max Tunnel to underground drilling and those things. It's just 773 00:45:21,080 --> 00:45:23,960 Speaker 1: a plate. It's not an actual drill, right, like a drill, 774 00:45:24,040 --> 00:45:28,480 Speaker 1: but it's just a plate. There's there's a bunch of 775 00:45:28,520 --> 00:45:32,240 Speaker 1: those things out there, and it looks like this. She's greater, Yeah, exactly, 776 00:45:32,880 --> 00:45:38,120 Speaker 1: flat with the Yeah they're pretty awesome. I want to 777 00:45:38,120 --> 00:45:40,680 Speaker 1: go they're pretty cool, but they I mean, I think 778 00:45:41,080 --> 00:45:44,759 Speaker 1: if there was any kind of proof that things were 779 00:45:45,000 --> 00:45:48,120 Speaker 1: drilling under there, that would be a good explanation. But 780 00:45:48,280 --> 00:45:50,080 Speaker 1: I think that at this point people would have had 781 00:45:50,080 --> 00:45:52,440 Speaker 1: to say, oh, yeah, I know, we're drilling under that place, right, 782 00:45:52,880 --> 00:45:56,759 Speaker 1: But people don't always realize that drilling is going on. 783 00:45:56,920 --> 00:45:59,440 Speaker 1: Do you realize that in the city of Portland they 784 00:45:59,480 --> 00:46:03,840 Speaker 1: were drilling for fifteen or twenty years for the entire 785 00:46:04,040 --> 00:46:07,279 Speaker 1: sewer redo that they did here. It was called a 786 00:46:07,280 --> 00:46:11,719 Speaker 1: big Pipe project and they were drilling from one end 787 00:46:11,760 --> 00:46:13,799 Speaker 1: of the city to the other and it took him 788 00:46:13,920 --> 00:46:17,280 Speaker 1: ten or fifteen years. They were drilling every day, nonstops. 789 00:46:17,320 --> 00:46:19,960 Speaker 1: So maybe maybe it is under ground drilling. But this 790 00:46:20,040 --> 00:46:22,319 Speaker 1: kind of stuff happens in the municipalities all the time 791 00:46:22,360 --> 00:46:26,319 Speaker 1: and people don't realize that it's going on. They may 792 00:46:26,840 --> 00:46:29,719 Speaker 1: sort of be aware, but they don't really think about it, 793 00:46:29,840 --> 00:46:31,960 Speaker 1: so then they're hearing this weird noise. And I guess 794 00:46:32,000 --> 00:46:34,879 Speaker 1: that would be another argument actually, like four, that these 795 00:46:34,920 --> 00:46:38,799 Speaker 1: are like less urban places, right that like when we're 796 00:46:38,960 --> 00:46:41,400 Speaker 1: when drilling is happening underneath us, we've got like a 797 00:46:41,520 --> 00:46:45,040 Speaker 1: bustling city happening. We can't hear what's going on down there, right, 798 00:46:45,520 --> 00:46:48,080 Speaker 1: But if it's a smaller community and they are drilling 799 00:46:48,160 --> 00:46:50,560 Speaker 1: under there, what I like, who's gonna I mean, you 800 00:46:50,680 --> 00:46:56,440 Speaker 1: hear it? It's an evil genius building his bunker for 801 00:46:56,520 --> 00:47:02,080 Speaker 1: the more. Right, there is one more kind of since 802 00:47:02,120 --> 00:47:05,879 Speaker 1: we're talking about the earth theory. We were talking about 803 00:47:05,880 --> 00:47:08,120 Speaker 1: it a little bit earlier and none of us has 804 00:47:08,120 --> 00:47:11,920 Speaker 1: a really good grasp nor do we have any details. 805 00:47:12,760 --> 00:47:18,160 Speaker 1: But apparently there is an actual global hum. Now there is. 806 00:47:18,560 --> 00:47:25,480 Speaker 1: They can be heard worldwide. Question was it's the geothermal activity? Right, Well, 807 00:47:25,560 --> 00:47:28,640 Speaker 1: it's not geo thermal activity as much as it's um. 808 00:47:28,920 --> 00:47:32,280 Speaker 1: There are some scientists who have been mapping the ears, 809 00:47:32,640 --> 00:47:37,400 Speaker 1: the inner structure of the Earth and the typically typically 810 00:47:37,440 --> 00:47:39,040 Speaker 1: the way that's been done and they just sort of 811 00:47:39,040 --> 00:47:41,120 Speaker 1: sit around the wait for an earthquake somewhere and then 812 00:47:41,680 --> 00:47:44,279 Speaker 1: using recording stations around them around the planet, you can 813 00:47:44,400 --> 00:47:47,280 Speaker 1: know that sends that earthquake is going to send massive waves, 814 00:47:47,360 --> 00:47:50,480 Speaker 1: shock waves to the through the planet's core. You can 815 00:47:50,560 --> 00:47:52,880 Speaker 1: use that that information when you pick it up somewhere 816 00:47:52,920 --> 00:47:56,000 Speaker 1: else to infer information about how what the structure of 817 00:47:56,000 --> 00:47:58,919 Speaker 1: the earth inter core is. Sure. Yeah, but the problem 818 00:47:58,960 --> 00:48:00,719 Speaker 1: with that is as you to sit around a way 819 00:48:00,719 --> 00:48:03,800 Speaker 1: for an earthquake, and so some of these guys started 820 00:48:03,840 --> 00:48:07,560 Speaker 1: actually amassing data on the sink that they called the 821 00:48:07,640 --> 00:48:11,680 Speaker 1: Earth's hum, which is when we read it to you here. Okay, 822 00:48:11,719 --> 00:48:14,320 Speaker 1: that's hum. It's called seismic noise. It's generated by sources 823 00:48:14,360 --> 00:48:18,279 Speaker 1: such as storm driven ocean waves, among other things, and 824 00:48:18,480 --> 00:48:21,680 Speaker 1: it's detectable everywhere on Earth. Interesting, but we don't we 825 00:48:21,719 --> 00:48:24,760 Speaker 1: don't know what the frequency is or anything like that. Unfortunately, 826 00:48:24,800 --> 00:48:28,160 Speaker 1: I haven't figured that out yet. Yeah, but that's that's 827 00:48:28,360 --> 00:48:30,720 Speaker 1: that's the possibility. I didn't realize that the Earth actually 828 00:48:30,800 --> 00:48:32,719 Speaker 1: had a home. I didn't need it. But it's like, yeah, 829 00:48:32,719 --> 00:48:35,400 Speaker 1: the Earth does have a hung well, and it makes sense. 830 00:48:35,480 --> 00:48:38,080 Speaker 1: I mean, I know that this isn't directly related, but 831 00:48:38,600 --> 00:48:43,320 Speaker 1: seismic activity and stuff like that. I mean, the planets 832 00:48:43,320 --> 00:48:46,719 Speaker 1: always moving and the cores moving and plates are grinding 833 00:48:46,880 --> 00:48:50,800 Speaker 1: and things are always happening. It's always in a little 834 00:48:50,840 --> 00:48:53,440 Speaker 1: bit of a state of flux. And is it the 835 00:48:54,000 --> 00:48:57,920 Speaker 1: in it on the San Andreas Fault, they record little 836 00:48:58,040 --> 00:49:02,160 Speaker 1: mini quakes constantly. Yeah, I mean, nobody feels and nobody. 837 00:49:02,400 --> 00:49:04,799 Speaker 1: We just had we just had two earthquakes this past 838 00:49:04,880 --> 00:49:09,360 Speaker 1: week in Sherwood. Yeah you feel I didn't feel, you know, 839 00:49:09,640 --> 00:49:12,960 Speaker 1: there were like three pointers. But yeah, but yeah, but 840 00:49:13,040 --> 00:49:15,600 Speaker 1: these things happened constantly. We don't realize it. But that 841 00:49:15,920 --> 00:49:19,960 Speaker 1: could be a culprit is that it's actually just products 842 00:49:20,200 --> 00:49:26,080 Speaker 1: of natural seismic activity that we don't recognize as happening. 843 00:49:26,320 --> 00:49:29,919 Speaker 1: But it's some people can hear it. Yeah, I guess 844 00:49:30,000 --> 00:49:34,600 Speaker 1: that's fair. Yeah, it's and it might be more geographically specific, 845 00:49:34,680 --> 00:49:37,760 Speaker 1: because the thickness of the Earth's crust differs in places, 846 00:49:37,800 --> 00:49:39,800 Speaker 1: and it's like that in the composition of a different 847 00:49:39,840 --> 00:49:42,600 Speaker 1: in places. Yeah, I think that's not a bad theory. 848 00:49:42,920 --> 00:49:45,120 Speaker 1: I do want to talk about another kind of not 849 00:49:45,280 --> 00:49:47,759 Speaker 1: bad theory, which is that it could just be like 850 00:49:47,880 --> 00:49:52,160 Speaker 1: mechanical devices, if you will notice, right, it has definitely 851 00:49:52,320 --> 00:49:57,960 Speaker 1: picked up in the last you know, really yeah, since 852 00:49:58,080 --> 00:50:01,120 Speaker 1: the Industrial revolution, if you will, desk goes goes to 853 00:50:01,400 --> 00:50:03,640 Speaker 1: So you're talking are you talking about drillings some more? 854 00:50:03,719 --> 00:50:06,600 Speaker 1: You're talking about other things we're talking about, yeah, more 855 00:50:06,760 --> 00:50:12,280 Speaker 1: like factories. So apparently in Kokomo, that's how you say that, right, Kokomo, Indiana, 856 00:50:13,480 --> 00:50:18,520 Speaker 1: it's a it's a fairly industry heavy city. Apparently, some 857 00:50:18,760 --> 00:50:22,439 Speaker 1: researchers went out and identified where the hum was coming from. 858 00:50:22,840 --> 00:50:26,719 Speaker 1: There were two sources that they traced. One was a 859 00:50:27,239 --> 00:50:30,919 Speaker 1: Chrysler casting plant that was emitting a thirty six hurts 860 00:50:31,040 --> 00:50:37,400 Speaker 1: tone apparently, which would do it, because totally sure. The 861 00:50:37,480 --> 00:50:40,520 Speaker 1: second one was an air compressor intake at the Haines 862 00:50:40,560 --> 00:50:44,120 Speaker 1: International plant that was emitting a ten hurts tone. And 863 00:50:44,280 --> 00:50:48,399 Speaker 1: do you remember we were listened to twenty hurts. That's 864 00:50:48,480 --> 00:50:51,680 Speaker 1: hard to hear, right, Yeah, the low down ones are 865 00:50:52,120 --> 00:50:54,800 Speaker 1: very hard to hear, so ten hurts would be like 866 00:50:55,080 --> 00:50:59,480 Speaker 1: super hard to hear. Furthermore, once uh, these devices were 867 00:50:59,560 --> 00:51:04,000 Speaker 1: corrected and stopped emitting these noises because they were malfunctioning. Yeah, 868 00:51:04,320 --> 00:51:07,520 Speaker 1: the people who had been complaining about the home didn't 869 00:51:07,800 --> 00:51:10,239 Speaker 1: say that they stopped hearing it. Maybe they're just complainers. 870 00:51:10,400 --> 00:51:15,240 Speaker 1: Maybe maybe they're just whiners. I do also remember again 871 00:51:15,360 --> 00:51:17,640 Speaker 1: the guy who was talking about having walked around his 872 00:51:17,760 --> 00:51:20,880 Speaker 1: city with the audio equipment trying to track it down himself. 873 00:51:21,719 --> 00:51:25,000 Speaker 1: He was pretty sure he had pinpointed it to some 874 00:51:25,400 --> 00:51:28,040 Speaker 1: chimney that was part of a factory and it just 875 00:51:28,120 --> 00:51:30,279 Speaker 1: happened to be next to an alley, so it was 876 00:51:30,360 --> 00:51:32,920 Speaker 1: creating basically an echo. Cha. Yeah, that was in China 877 00:51:33,000 --> 00:51:35,240 Speaker 1: or something, wasn't it. No? I think it was Indiana. 878 00:51:35,520 --> 00:51:37,399 Speaker 1: It was one of the Indiana ones, but I could 879 00:51:37,440 --> 00:51:39,920 Speaker 1: be wrong. There was one in China where they said, yeah, 880 00:51:39,960 --> 00:51:42,800 Speaker 1: it was this construction that was happening. So they again 881 00:51:42,880 --> 00:51:46,480 Speaker 1: they corrected it, and people were like, no, it's still happening. 882 00:51:47,440 --> 00:51:49,360 Speaker 1: You know, I think this has happened a couple of times. 883 00:51:49,960 --> 00:51:52,440 Speaker 1: Could be like this is suddenly occurred to me. What 884 00:51:52,560 --> 00:51:54,760 Speaker 1: do you blow over like the end of a coke bottle? 885 00:51:54,800 --> 00:51:58,960 Speaker 1: It makes that noise noise I remember one time I 886 00:51:59,040 --> 00:52:01,440 Speaker 1: I I experienced. I think of that and at a larger, 887 00:52:02,400 --> 00:52:05,480 Speaker 1: larger scale, lower wave length. Because I was in when 888 00:52:05,520 --> 00:52:09,120 Speaker 1: I was in college, I stayed around after the end 889 00:52:09,120 --> 00:52:11,000 Speaker 1: of the school year because I was worked. I worked 890 00:52:11,000 --> 00:52:14,520 Speaker 1: for the dormitory, so stayed around for an extra week 891 00:52:14,600 --> 00:52:16,680 Speaker 1: or two to clean up the dorms after everybody else 892 00:52:16,719 --> 00:52:18,400 Speaker 1: had left and gone home for the year. And it 893 00:52:18,440 --> 00:52:21,000 Speaker 1: sounds like, yeah, I know, so I know what the 894 00:52:22,120 --> 00:52:23,920 Speaker 1: So I was up and I was up on the 895 00:52:24,000 --> 00:52:26,240 Speaker 1: seventh floor and I had the whole place to myself. 896 00:52:26,320 --> 00:52:28,560 Speaker 1: It's really weird to be in a place that's always 897 00:52:28,640 --> 00:52:30,799 Speaker 1: full of people and you're and suddenly you're the only one. 898 00:52:30,920 --> 00:52:32,719 Speaker 1: I feel like that's one of the creepiest things. Is 899 00:52:33,239 --> 00:52:35,759 Speaker 1: it is? It is, It's kind of creepy. And I'm 900 00:52:35,920 --> 00:52:39,080 Speaker 1: I'm there and uh, and suddenly I hear this really weird, 901 00:52:39,200 --> 00:52:42,960 Speaker 1: unearthly noise. It's sort of like low kind of noise, 902 00:52:43,480 --> 00:52:45,399 Speaker 1: and it made it made the hair on the back 903 00:52:45,440 --> 00:52:47,279 Speaker 1: of my next stand up. Somehow, I feel like we 904 00:52:47,320 --> 00:52:49,279 Speaker 1: need to be around a campfire right now. Yeah, I know. 905 00:52:50,360 --> 00:52:53,000 Speaker 1: I finally figured out what it was is that there 906 00:52:53,040 --> 00:52:55,200 Speaker 1: were these really long halways. There are two of them, 907 00:52:55,719 --> 00:52:59,320 Speaker 1: and at the end they had windows which opened, and 908 00:52:59,520 --> 00:53:01,800 Speaker 1: so just hap finally figured out if the wind was 909 00:53:01,880 --> 00:53:05,360 Speaker 1: blowing at just a perfect angle across these open windows 910 00:53:05,480 --> 00:53:08,760 Speaker 1: and making that same coke bottle sound, but much louder 911 00:53:08,920 --> 00:53:12,279 Speaker 1: and much lower frequency. It was a weird sound. Interesting. Yeah, 912 00:53:12,880 --> 00:53:15,520 Speaker 1: so yeah, I can see there being natural formations that 913 00:53:15,719 --> 00:53:19,440 Speaker 1: I mean, that that would happen. Yeah. Yeah, although again, 914 00:53:19,719 --> 00:53:23,399 Speaker 1: why only like fifty to seventy to seventy because they're 915 00:53:23,400 --> 00:53:25,799 Speaker 1: the only people who sit around, listen around and listen. 916 00:53:27,239 --> 00:53:29,360 Speaker 1: All the younger people are walking around with like iPods 917 00:53:29,440 --> 00:53:32,480 Speaker 1: and buds in their ears. Yeah totally. So we have 918 00:53:32,560 --> 00:53:36,719 Speaker 1: one more theory might be my favorite. Are you guys 919 00:53:36,800 --> 00:53:41,560 Speaker 1: so ready for this one? It's fish. Yeah. This guy 920 00:53:42,160 --> 00:53:47,959 Speaker 1: from the Scottish Association Scottish Association for Marine Science says 921 00:53:48,120 --> 00:53:55,640 Speaker 1: that nocturnal humming from fish, from male midshipment fish, it's 922 00:53:55,680 --> 00:53:57,960 Speaker 1: their mating call, and that they were just doing it 923 00:53:58,040 --> 00:54:00,319 Speaker 1: in the night. They were making this mating call night 924 00:54:00,480 --> 00:54:03,480 Speaker 1: because they're nocturnal, and that's what everybody was hearing in 925 00:54:03,560 --> 00:54:07,319 Speaker 1: this one community in hid Hampshire. Okay, so I tried 926 00:54:07,360 --> 00:54:09,719 Speaker 1: to read upon this fish. There are they are They 927 00:54:09,800 --> 00:54:12,480 Speaker 1: sort of like a mud puppy or a lungfish, something 928 00:54:12,560 --> 00:54:14,920 Speaker 1: that crawls out of the water at night for a 929 00:54:14,960 --> 00:54:17,800 Speaker 1: little bit of time before it goes back in. Do 930 00:54:17,920 --> 00:54:20,920 Speaker 1: you know, I have no idea. I'm sorry, this is 931 00:54:21,040 --> 00:54:24,440 Speaker 1: literally the extent of the research I tried to look. 932 00:54:24,480 --> 00:54:25,880 Speaker 1: I looked into these fish a little bit, but I 933 00:54:25,920 --> 00:54:28,640 Speaker 1: couldn't really get any good info. But I mean, I 934 00:54:28,760 --> 00:54:30,800 Speaker 1: do know that there are fish that come out of 935 00:54:30,840 --> 00:54:33,799 Speaker 1: the water for brief periods of time. I've never heard 936 00:54:33,840 --> 00:54:38,359 Speaker 1: of fish moaning or humming. But that's a good way 937 00:54:38,400 --> 00:54:42,080 Speaker 1: to advertise your position to nearby predators. Yeah, bad idea. Yeah, 938 00:54:42,120 --> 00:54:44,399 Speaker 1: it doesn't seem like the smartest thing to do. Yeah, 939 00:54:44,440 --> 00:54:46,320 Speaker 1: I guess you know, if you're gonna take you know, 940 00:54:46,600 --> 00:54:50,080 Speaker 1: a lot of these series all together, you know, maybe 941 00:54:50,120 --> 00:54:52,360 Speaker 1: this one applies to that particular spot in Scotland. But 942 00:54:52,440 --> 00:54:53,959 Speaker 1: it's hard. It's hard to see how I could apply 943 00:54:54,000 --> 00:54:58,120 Speaker 1: to Toos, New Mexico. Yeah, but it might be that 944 00:54:58,160 --> 00:54:59,880 Speaker 1: there's hums around the world and they all have difference. 945 00:55:00,040 --> 00:55:02,600 Speaker 1: They all have different origins, they have different sources. Yeah, 946 00:55:02,760 --> 00:55:04,799 Speaker 1: I guess you know, that's totally fair. It's a fair 947 00:55:05,120 --> 00:55:07,880 Speaker 1: thing to think. But fish is the last theory that 948 00:55:08,000 --> 00:55:10,000 Speaker 1: I have. We're out of theories. Do you guys have 949 00:55:10,080 --> 00:55:13,120 Speaker 1: any other theories? No, I don't. Do you have favorite theories? 950 00:55:14,120 --> 00:55:17,279 Speaker 1: I'm pretty sure it's mechanical. Yeah, I really think that 951 00:55:17,440 --> 00:55:20,399 Speaker 1: it is. It is a man made noise, especially since 952 00:55:20,480 --> 00:55:28,200 Speaker 1: it's mostly reported in extremely developed countries, whether it's urban, suburban, 953 00:55:28,520 --> 00:55:33,960 Speaker 1: rural areas, machineries everywhere, And that seems like the likeliest 954 00:55:34,000 --> 00:55:37,319 Speaker 1: candidate to me from Yeah, that's pretty good. I mean 955 00:55:38,040 --> 00:55:41,960 Speaker 1: I like the fish one. Yeah, kind of hard it 956 00:55:42,040 --> 00:55:45,880 Speaker 1: it doesn't it's not credible. I like it. Um. So anyway, 957 00:55:46,400 --> 00:55:49,000 Speaker 1: the earth some that we were talking about, that's that's 958 00:55:49,440 --> 00:55:53,120 Speaker 1: entirely possibility that the crust of the earth itself is 959 00:55:53,360 --> 00:55:56,320 Speaker 1: is like vibrating, you know, enough to create either a 960 00:55:56,480 --> 00:56:00,080 Speaker 1: sound or else maybe put something put a vibration and 961 00:56:00,160 --> 00:56:03,480 Speaker 1: into your feet, into your body, basically vibrating your body. 962 00:56:03,920 --> 00:56:07,279 Speaker 1: You're standing out the body, your body is resonating with that, 963 00:56:07,920 --> 00:56:11,560 Speaker 1: and for some sensitive people, for whatever reason, they translate 964 00:56:11,640 --> 00:56:14,440 Speaker 1: that into sound. Yeah. I don't know. I don't have 965 00:56:14,560 --> 00:56:18,840 Speaker 1: a favorite theory, to be honest, I deeply believe that 966 00:56:18,960 --> 00:56:21,840 Speaker 1: it's external, right. I don't think it's just people like 967 00:56:22,120 --> 00:56:24,680 Speaker 1: having like making it up. I don't think it's tonitous 968 00:56:24,760 --> 00:56:28,279 Speaker 1: anything like that. I definitely don't think it's fish. I 969 00:56:28,360 --> 00:56:33,000 Speaker 1: don't think it's colliding waves, but the Earth's hum machinery, 970 00:56:33,400 --> 00:56:36,960 Speaker 1: weird drilling stuff, experiments. You don't want to say experiments 971 00:56:37,320 --> 00:56:42,319 Speaker 1: really too much. But I don't understand what you mean 972 00:56:42,440 --> 00:56:46,799 Speaker 1: by the conspiracy theory stuff or something like that. God 973 00:56:46,920 --> 00:56:50,320 Speaker 1: and buying that I did. I do think somebody should 974 00:56:50,320 --> 00:56:54,560 Speaker 1: investigate any possible correlation between geothermal activity in the places 975 00:56:54,600 --> 00:56:56,799 Speaker 1: where this happens. Yeah, I think that's fair. That would 976 00:56:56,840 --> 00:56:59,920 Speaker 1: be you know, and that would be hard to pinpoint. 977 00:57:00,160 --> 00:57:02,279 Speaker 1: I think they need to get some geologists involved in 978 00:57:02,600 --> 00:57:06,440 Speaker 1: this quest. Yeah, So I guess that's all we have. 979 00:57:07,880 --> 00:57:09,880 Speaker 1: As we've said, we're going to put a bunch of 980 00:57:10,000 --> 00:57:13,040 Speaker 1: links up. Those will be available on our website, as 981 00:57:13,120 --> 00:57:17,960 Speaker 1: will um this episode. That website is Thinking Sideways podcast 982 00:57:18,080 --> 00:57:21,800 Speaker 1: dot com. You can download on iTunes instead of listening 983 00:57:21,840 --> 00:57:25,080 Speaker 1: to us on the website. If you do that, please 984 00:57:25,120 --> 00:57:27,600 Speaker 1: leave us a comment in a rating. We've been trying 985 00:57:27,640 --> 00:57:30,480 Speaker 1: to keep track of those as much as possible. We 986 00:57:30,520 --> 00:57:33,760 Speaker 1: absolutely appreciate them, your comments and ratings or how other 987 00:57:33,840 --> 00:57:38,480 Speaker 1: people find us, so kudos. If you forget to download us, 988 00:57:38,600 --> 00:57:41,840 Speaker 1: you can always stream us from Stitcher on any mobile device, 989 00:57:42,160 --> 00:57:44,360 Speaker 1: find us and like us on Facebook. We just started 990 00:57:44,360 --> 00:57:46,680 Speaker 1: a new group, I think just last week. We started 991 00:57:46,680 --> 00:57:49,280 Speaker 1: a couple of weeks ago. Yeah, so you know, join 992 00:57:49,360 --> 00:57:51,920 Speaker 1: that group so you can discuss things if you want 993 00:57:52,000 --> 00:57:55,840 Speaker 1: with other listeners. And as always, you can send us 994 00:57:55,880 --> 00:58:00,280 Speaker 1: an email. That email address is Thinking Sideways Podcast at 995 00:58:00,400 --> 00:58:03,320 Speaker 1: gmail dot com. And we have some listener mail. I 996 00:58:03,400 --> 00:58:05,480 Speaker 1: think it's backlogged. We didn't do any last week. We 997 00:58:05,520 --> 00:58:11,880 Speaker 1: got a lot last week and we didn't do any. Yeah. Yeah, 998 00:58:12,200 --> 00:58:14,720 Speaker 1: that was a long episode because I'm so sorry. So 999 00:58:14,840 --> 00:58:16,920 Speaker 1: we got some listener mails that we want to try 1000 00:58:16,920 --> 00:58:20,960 Speaker 1: and catch up. Well, yeah, we've got some emails, and we, 1001 00:58:21,320 --> 00:58:24,400 Speaker 1: like you said, Devin, there's a lot of emails. We've 1002 00:58:24,440 --> 00:58:27,520 Speaker 1: gotten a bunch this week and in the past weeks, 1003 00:58:27,680 --> 00:58:30,480 Speaker 1: and it's hard to read them all out as much 1004 00:58:30,520 --> 00:58:32,760 Speaker 1: as I'd love to, And we should just make it 1005 00:58:32,840 --> 00:58:35,520 Speaker 1: clear that this isn't like adult send us any more emails. 1006 00:58:36,560 --> 00:58:40,000 Speaker 1: Got so much email. It's awesome, but it's it's sometimes 1007 00:58:40,080 --> 00:58:43,080 Speaker 1: I love it because it's one or two sentences and 1008 00:58:43,120 --> 00:58:45,120 Speaker 1: then it's a suggestion of the story, which is great 1009 00:58:45,200 --> 00:58:48,320 Speaker 1: because that's filling the hopper for us. But you know, 1010 00:58:48,360 --> 00:58:50,240 Speaker 1: I don't want to just read off all of those. 1011 00:58:50,360 --> 00:58:52,000 Speaker 1: But there's a couple of them that kind of stood out, 1012 00:58:52,000 --> 00:58:53,520 Speaker 1: so I think that those are the ones that I 1013 00:58:53,600 --> 00:58:56,600 Speaker 1: kind of wanted to focus on. So we've got one 1014 00:58:56,720 --> 00:58:58,880 Speaker 1: from a guy named Ben, and he said, first of all, 1015 00:58:58,920 --> 00:59:01,440 Speaker 1: I love the show. I think you guys are hilarious 1016 00:59:01,840 --> 00:59:05,640 Speaker 1: and making a really unique and intelligent podcast. So what 1017 00:59:05,800 --> 00:59:09,040 Speaker 1: could I say other than keep up the good work. Yeah, cool, 1018 00:59:09,120 --> 00:59:12,120 Speaker 1: Thanks Ben, And that he has a quick question. Um, 1019 00:59:12,320 --> 00:59:14,320 Speaker 1: he was trying to figure out where we were based 1020 00:59:14,360 --> 00:59:16,520 Speaker 1: out of and I think we said it before, but 1021 00:59:16,720 --> 00:59:19,200 Speaker 1: if we haven't directly said it, we're out of Portland 1022 00:59:19,440 --> 00:59:22,360 Speaker 1: or and he was he had figured out that we 1023 00:59:22,480 --> 00:59:25,080 Speaker 1: were in the Pacific Northwest, because we knew things like 1024 00:59:25,160 --> 00:59:28,400 Speaker 1: the sailor sea feet. We were pretty familiar with the 1025 00:59:28,480 --> 00:59:31,040 Speaker 1: coastal range, and so he'd kind of put two and 1026 00:59:31,080 --> 00:59:33,840 Speaker 1: two together. But yeah, I know, we're definitely out out 1027 00:59:33,880 --> 00:59:38,600 Speaker 1: of Portland, and uh, if you are out yeah, yeah, 1028 00:59:38,640 --> 00:59:42,160 Speaker 1: we are from Portland. Yeah's evidently from Seattle. So he 1029 00:59:42,680 --> 00:59:45,200 Speaker 1: was happy to to share the Northwest with us. It's 1030 00:59:45,240 --> 00:59:47,120 Speaker 1: not actually, if you live in Portland and you want 1031 00:59:47,120 --> 00:59:49,280 Speaker 1: to be you want to be our intern. But and 1032 00:59:49,440 --> 00:59:52,120 Speaker 1: then Ben gave us obviously, as everybody else has, he 1033 00:59:52,200 --> 00:59:54,360 Speaker 1: gave us a great suggestion of the story, and that 1034 00:59:54,520 --> 00:59:59,360 Speaker 1: one is in the hopper for us. Yeah. Emails from Tom, 1035 01:00:00,040 --> 01:00:03,240 Speaker 1: he says, I recently started listening to podcasts in general 1036 01:00:03,440 --> 01:00:08,080 Speaker 1: and was very disappointed that there are very few podcasts 1037 01:00:08,200 --> 01:00:12,760 Speaker 1: about mysterious events, people and places, and I wanted It 1038 01:00:12,920 --> 01:00:15,640 Speaker 1: was also a letdown that almost no other podcasts can 1039 01:00:15,680 --> 01:00:20,440 Speaker 1: even hold a candle to thinking sideways than I have 1040 01:00:20,640 --> 01:00:23,600 Speaker 1: in the past read an article on more than half 1041 01:00:23,680 --> 01:00:25,680 Speaker 1: of the things that you guys have discussed on the show, 1042 01:00:25,880 --> 01:00:28,360 Speaker 1: but you present much more detail and do so in 1043 01:00:28,400 --> 01:00:30,880 Speaker 1: a fashion that keeps me from becoming bored in any 1044 01:00:30,920 --> 01:00:33,240 Speaker 1: way with the show. So he wanted to say thank you, 1045 01:00:33,880 --> 01:00:36,200 Speaker 1: and he also wanted to geek out with me a 1046 01:00:36,280 --> 01:00:41,080 Speaker 1: little bit about Earthbound, So we geeked out a little 1047 01:00:41,120 --> 01:00:44,800 Speaker 1: bit and then he's adjusted some shows, but Earthbound Bros 1048 01:00:45,160 --> 01:00:48,960 Speaker 1: for life using our side power. It's a video game. 1049 01:00:49,280 --> 01:00:51,200 Speaker 1: You guys are both looking at me like I'm the 1050 01:00:51,240 --> 01:00:56,880 Speaker 1: biggest idiots being a video game. It's a video game 1051 01:00:57,040 --> 01:01:01,200 Speaker 1: that I love, but so also likes Fallout. So if 1052 01:01:01,200 --> 01:01:03,400 Speaker 1: anybody wants to make a Fallout reference, you'll love it. 1053 01:01:03,760 --> 01:01:06,959 Speaker 1: And listen, we already had a Fallout person, did we Yeah? 1054 01:01:07,400 --> 01:01:13,760 Speaker 1: I didn't catch it. It was on It was on iTunes. 1055 01:01:14,640 --> 01:01:17,400 Speaker 1: One of our commentary was Arcade Gannon, which is again, 1056 01:01:17,480 --> 01:01:20,600 Speaker 1: I'm so sorry. I it turns out I'm nerding myself. 1057 01:01:20,880 --> 01:01:24,320 Speaker 1: It's like aging yourself, but like you know, you're a nerd. Anyways, 1058 01:01:24,440 --> 01:01:27,000 Speaker 1: if you want to keep guessing my favorite video games, 1059 01:01:27,080 --> 01:01:29,760 Speaker 1: you should just send random emails to us about video 1060 01:01:29,800 --> 01:01:34,360 Speaker 1: games and we'll see how many I can catch. So, Tom, 1061 01:01:34,480 --> 01:01:37,080 Speaker 1: thank you for the suggestions. They are as you would 1062 01:01:37,120 --> 01:01:40,400 Speaker 1: say in the hopper. Okay, one more, we got time 1063 01:01:40,440 --> 01:01:43,440 Speaker 1: for one more letter. Uh. This letter is from Jennifer. 1064 01:01:44,120 --> 01:01:47,440 Speaker 1: So Jennifer says Hey, guys, huge all caps fan of 1065 01:01:47,480 --> 01:01:49,320 Speaker 1: the show, found it too much or so back on 1066 01:01:49,400 --> 01:01:51,960 Speaker 1: Reddit and listen to your whole library in about a week. Yeah, 1067 01:01:52,000 --> 01:01:55,840 Speaker 1: I said, at work all day data entry boo and 1068 01:01:56,040 --> 01:01:58,600 Speaker 1: frequently gets distracted by your awesome show. I have a 1069 01:01:58,640 --> 01:02:00,680 Speaker 1: semi local story. I'd love to hear your thoughts on 1070 01:02:01,200 --> 01:02:08,680 Speaker 1: blank blank blank Washington. Were to college. So yeah, so 1071 01:02:09,040 --> 01:02:11,360 Speaker 1: take a look is pretty cool and there's even a 1072 01:02:11,360 --> 01:02:14,360 Speaker 1: Wikipedia try it. I've heard about this particularly spot before. 1073 01:02:14,480 --> 01:02:16,840 Speaker 1: It is kind of interesting. I've almost I've been meaning 1074 01:02:16,880 --> 01:02:17,840 Speaker 1: to go up and take a look at it. We 1075 01:02:17,920 --> 01:02:20,919 Speaker 1: might need to take a field trip for this one. Yeah, okay, 1076 01:02:20,960 --> 01:02:23,040 Speaker 1: anyway back to her letter, thanks again for the awesome show. 1077 01:02:23,040 --> 01:02:25,160 Speaker 1: If you guys have lots of Portlands listeners, you should 1078 01:02:25,240 --> 01:02:28,000 Speaker 1: have plan a meet up for everyone. Signed jan That's 1079 01:02:28,000 --> 01:02:30,480 Speaker 1: a great idea. Actually, that's actually not a bad idea. Yeah, 1080 01:02:30,560 --> 01:02:33,560 Speaker 1: we we might have to take a polling sometimes how 1081 01:02:33,600 --> 01:02:35,480 Speaker 1: many people are in the area that would be able 1082 01:02:35,480 --> 01:02:38,800 Speaker 1: to do something like that. They'll just use analytics Google analytics. 1083 01:02:40,000 --> 01:02:42,120 Speaker 1: There's there's things on the internet that do this. For 1084 01:02:42,840 --> 01:02:48,200 Speaker 1: holy Craft, they didn't know that's plan on that good idea. 1085 01:02:48,320 --> 01:02:52,240 Speaker 1: Jennifer Yeah, thanks Jennifer, thanks everybody for the emails, and yeah, 1086 01:02:52,920 --> 01:02:55,560 Speaker 1: like I said before, we've got a bunch of them 1087 01:02:55,800 --> 01:02:59,680 Speaker 1: and I we can't read them all. We don't appreciate it, 1088 01:02:59,720 --> 01:03:02,560 Speaker 1: we don't love it. Just can't do everything. And we 1089 01:03:02,640 --> 01:03:04,960 Speaker 1: try to respond to all of them in a fairly 1090 01:03:05,040 --> 01:03:07,640 Speaker 1: good amount of time. Yeah, sometimes I'm a little behind 1091 01:03:07,760 --> 01:03:10,760 Speaker 1: on the replies, but I try to keep up bottom. Yeah, 1092 01:03:11,120 --> 01:03:15,720 Speaker 1: so I guess with that, that's it. Yeah, there's not 1093 01:03:15,760 --> 01:03:18,040 Speaker 1: too much you can say about it. It's just it's 1094 01:03:18,080 --> 01:03:31,280 Speaker 1: just so let's play recording at the Taos. Hum. That's 1095 01:03:31,320 --> 01:03:39,400 Speaker 1: incredibly annoying. I can see people can get suicide man. 1096 01:03:39,800 --> 01:03:40,240 Speaker 1: Good night,