1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:06,680 --> 00:00:13,720 Speaker 1: Works dot com. Hey, you're welcome to Stuff to Blow 3 00:00:13,760 --> 00:00:16,800 Speaker 1: your mind. My name is Robert Lamb, and we just 4 00:00:16,880 --> 00:00:20,600 Speaker 1: recorded a fairly long episode about bats called The Wild 5 00:00:20,640 --> 00:00:23,759 Speaker 1: World of Bats. And hopefully you've you've listened to that 6 00:00:23,800 --> 00:00:25,919 Speaker 1: one before you listen to this one. Not that you 7 00:00:26,000 --> 00:00:28,800 Speaker 1: have to, but I think that's a preferred listening order. 8 00:00:29,600 --> 00:00:32,040 Speaker 1: But but but in that podcast, we talked about a 9 00:00:32,040 --> 00:00:33,640 Speaker 1: lot about the ways of bats, in the way that 10 00:00:33,880 --> 00:00:36,640 Speaker 1: the ways that they've come to own the night, um, 11 00:00:36,760 --> 00:00:40,040 Speaker 1: how they live in this this different realm of the 12 00:00:40,080 --> 00:00:44,599 Speaker 1: senses um. And we also mentioned a philosophical paper by 13 00:00:44,680 --> 00:00:47,599 Speaker 1: one Thomas Nagle, and we read a quote from that. 14 00:00:47,640 --> 00:00:49,920 Speaker 1: But his whole point is that we as humans have 15 00:00:50,560 --> 00:00:55,880 Speaker 1: are perhaps incapable of understanding the viewpoints of other species, 16 00:00:56,280 --> 00:00:59,280 Speaker 1: be it be at a dog, a cat, a bat, 17 00:00:59,760 --> 00:01:02,960 Speaker 1: or you know, an alien being of some sort on 18 00:01:03,000 --> 00:01:05,480 Speaker 1: another planet. We just can't we can't really compare ourselves 19 00:01:05,480 --> 00:01:08,120 Speaker 1: in their mind because we're not privy to um all 20 00:01:08,240 --> 00:01:11,399 Speaker 1: the experiences that make them what they are. And uh, 21 00:01:11,400 --> 00:01:14,520 Speaker 1: and with the bat, we see that, especially in its 22 00:01:14,560 --> 00:01:18,480 Speaker 1: echolocation and its use of song. Basically it's use of song, 23 00:01:18,600 --> 00:01:21,600 Speaker 1: it's use of sound to see the world around it 24 00:01:22,440 --> 00:01:25,360 Speaker 1: and experience it and interact with it. Yeah, because remember 25 00:01:25,400 --> 00:01:27,920 Speaker 1: this is really the aspect of bats that make that 26 00:01:28,160 --> 00:01:30,200 Speaker 1: successful really if you look at it. Of course the 27 00:01:30,240 --> 00:01:33,240 Speaker 1: flying is important, but the ability to have this sort 28 00:01:33,280 --> 00:01:37,280 Speaker 1: of song um is what makes this UH as what 29 00:01:37,360 --> 00:01:42,200 Speaker 1: your Dr. George Pollock says, a rich sensory exotica. And 30 00:01:42,200 --> 00:01:43,600 Speaker 1: I love that because we're really going to try to 31 00:01:43,640 --> 00:01:45,360 Speaker 1: delve into that today, like what does it mean to 32 00:01:45,440 --> 00:01:49,120 Speaker 1: be a creature who depends on echolocation and how does 33 00:01:49,160 --> 00:01:53,520 Speaker 1: it change your understanding of the physical world. So, just 34 00:01:53,560 --> 00:01:58,360 Speaker 1: to to briefly mention echolocation again, I think radar thinks sonar. 35 00:01:59,560 --> 00:02:03,520 Speaker 1: The bat sends out a signal, a sound signal goes 36 00:02:03,520 --> 00:02:06,440 Speaker 1: out and waves, it hits something, it bounces back, and 37 00:02:06,440 --> 00:02:08,920 Speaker 1: there's something maybe the wall of a canyon, which we 38 00:02:08,960 --> 00:02:10,920 Speaker 1: can relate to in an echo. If we're standing in 39 00:02:10,919 --> 00:02:14,600 Speaker 1: a canyon, we we hear our sound um flow out 40 00:02:14,600 --> 00:02:17,040 Speaker 1: from us and return to us. But then with the bat, 41 00:02:17,080 --> 00:02:19,760 Speaker 1: we're also talking about UH the ability to balance off 42 00:02:19,800 --> 00:02:22,720 Speaker 1: of very small objects, moving objects such as a moth 43 00:02:23,280 --> 00:02:25,240 Speaker 1: moving around in the night that would make a tasty, 44 00:02:25,240 --> 00:02:28,880 Speaker 1: tasty snack, as well as the movements of other creatures 45 00:02:28,880 --> 00:02:32,240 Speaker 1: and other things in the night. UM a lot of 46 00:02:32,320 --> 00:02:35,120 Speaker 1: In most cases, the echolocation sound is an extremely high 47 00:02:35,120 --> 00:02:38,920 Speaker 1: pitched noise, so high that it's beyond human hearing. But 48 00:02:39,080 --> 00:02:43,440 Speaker 1: the their vocal communication is is again, it is, it is. 49 00:02:43,639 --> 00:02:46,239 Speaker 1: It's rich. It's not just a bat. Squawk at the 50 00:02:46,360 --> 00:02:48,200 Speaker 1: squawk at that, and squawk at this other thing and 51 00:02:48,240 --> 00:02:52,519 Speaker 1: see what happens. You see a vast array of squeaks 52 00:02:52,560 --> 00:02:55,919 Speaker 1: and squawks and babbles. Uh. In many cases, we're talking 53 00:02:55,960 --> 00:02:59,639 Speaker 1: about elaborate songs that they're basically there. To get a 54 00:02:59,680 --> 00:03:01,760 Speaker 1: little ideic about it, they're they're sort of singing the 55 00:03:01,800 --> 00:03:05,080 Speaker 1: world around them into existence. Yeah, and it is finally 56 00:03:05,120 --> 00:03:08,639 Speaker 1: tuned so they can of course adjust the pitch, the frequency, 57 00:03:08,840 --> 00:03:12,360 Speaker 1: all different aspects of of of what they're emitting in 58 00:03:12,480 --> 00:03:14,600 Speaker 1: order to get the right kind of data back that 59 00:03:14,639 --> 00:03:17,480 Speaker 1: they want. And also when you think about this, UM, 60 00:03:17,520 --> 00:03:19,960 Speaker 1: you know the sort of data that it's hitting Like 61 00:03:19,960 --> 00:03:22,480 Speaker 1: a moth, it's not just a moth, it's every single 62 00:03:22,560 --> 00:03:25,240 Speaker 1: thing that is in that vicinity that's coming back that 63 00:03:25,360 --> 00:03:28,639 Speaker 1: it now has to make sense of. Um. They are 64 00:03:28,680 --> 00:03:33,120 Speaker 1: not only detecting, detecting and hunting objects, but they are 65 00:03:33,120 --> 00:03:36,000 Speaker 1: forming three dimensional images of these objects on the basis 66 00:03:36,040 --> 00:03:38,800 Speaker 1: of sound. Like it's all coming together in their mind 67 00:03:38,840 --> 00:03:42,120 Speaker 1: in a way that we really can't quite fathom. Yeah. So, 68 00:03:42,120 --> 00:03:44,160 Speaker 1: so they know where they are in space, they know 69 00:03:44,240 --> 00:03:47,960 Speaker 1: the verticality of this object or thing, they know the distance, 70 00:03:48,400 --> 00:03:51,000 Speaker 1: and they can see, really they can see with their 71 00:03:51,040 --> 00:03:54,320 Speaker 1: ears flying at speeds of forty miles an hour while 72 00:03:54,440 --> 00:03:57,280 Speaker 1: doing this, And I mean, I love the idea that 73 00:03:57,360 --> 00:04:00,360 Speaker 1: that they that it even has a sense of amarants 74 00:04:00,400 --> 00:04:03,760 Speaker 1: and dax. That's just amazing to even fine wrap your 75 00:04:03,800 --> 00:04:08,680 Speaker 1: head around. Um. Now, it's worth noting that despite the 76 00:04:08,800 --> 00:04:13,280 Speaker 1: saying blind is a bat, bats are not blind. Most 77 00:04:13,320 --> 00:04:17,000 Speaker 1: bats have sides. Sometimes the side is a little uh 78 00:04:17,800 --> 00:04:21,200 Speaker 1: certainly less developed of their senses. But but in something 79 00:04:21,200 --> 00:04:25,200 Speaker 1: in case, they have very acute eyesight. So it's not 80 00:04:25,279 --> 00:04:29,760 Speaker 1: that they're hearing and singing and not seeing. They're seeing 81 00:04:29,760 --> 00:04:32,680 Speaker 1: as well. But but it's just part of the the 82 00:04:32,720 --> 00:04:35,360 Speaker 1: overall sense experience. And this is also part of the 83 00:04:35,400 --> 00:04:39,640 Speaker 1: adaptation becoming a nocturnal creature. Okay, so bats are using 84 00:04:39,680 --> 00:04:42,479 Speaker 1: biosnar to get information about their target, the distance, the 85 00:04:42,480 --> 00:04:45,960 Speaker 1: direction in the nature. Um. But when echo locating bats 86 00:04:46,000 --> 00:04:49,359 Speaker 1: approach a target, they move in actually three phases. The 87 00:04:49,440 --> 00:04:52,280 Speaker 1: first is a search phase, and it's a call with 88 00:04:52,400 --> 00:04:56,400 Speaker 1: constant features and long intervals between the calls, and the 89 00:04:56,520 --> 00:05:00,200 Speaker 1: second is an approach phase. And the last phase as 90 00:05:00,360 --> 00:05:02,640 Speaker 1: is called a feeding buzz. And during a feeding buzz 91 00:05:02,640 --> 00:05:05,880 Speaker 1: that that shortens the duration of its calls and the 92 00:05:05,920 --> 00:05:09,960 Speaker 1: intervals between them. UM. So what you'll see is that 93 00:05:10,040 --> 00:05:13,800 Speaker 1: these echolocation calls of bats have two major patterns. And 94 00:05:13,839 --> 00:05:16,440 Speaker 1: then the first pattern is called a high duty cycle, 95 00:05:16,800 --> 00:05:20,960 Speaker 1: in which that separate the pulse and the echo and frequency. 96 00:05:21,000 --> 00:05:24,479 Speaker 1: And these calls are long and they're separated by short 97 00:05:24,560 --> 00:05:28,320 Speaker 1: periods of silence and dominated by a single frequency. And 98 00:05:28,360 --> 00:05:31,240 Speaker 1: the second pattern is called a low duty cycle, and 99 00:05:31,360 --> 00:05:34,520 Speaker 1: that separate the pulse and the echo and time, and 100 00:05:34,560 --> 00:05:37,839 Speaker 1: these calls are short and separated by long periods of 101 00:05:37,880 --> 00:05:41,599 Speaker 1: silence and are not dominated by a single frequency. So 102 00:05:41,720 --> 00:05:43,760 Speaker 1: already you can see there's a ton of stuff going 103 00:05:43,800 --> 00:05:46,240 Speaker 1: on here and what seems to be just a simple, 104 00:05:46,760 --> 00:05:50,200 Speaker 1: you know, immediate emitting of sound. There's some cool research 105 00:05:50,279 --> 00:05:52,640 Speaker 1: that came out of a University of Maryland's bat lap 106 00:05:52,800 --> 00:05:55,560 Speaker 1: and I love that they have a battle. Um, tell 107 00:05:55,600 --> 00:05:58,000 Speaker 1: me this real quick. In researching this, do you think 108 00:05:58,000 --> 00:06:00,800 Speaker 1: there were were you finding more in more studies about 109 00:06:00,800 --> 00:06:05,440 Speaker 1: bats that were conducted by German scientists or German labs. Yeah, 110 00:06:05,440 --> 00:06:08,240 Speaker 1: there was a couple of dominant ones. Yeah, so I 111 00:06:08,240 --> 00:06:10,520 Speaker 1: wasn't sure. Am I just noticing it more when Germans 112 00:06:10,520 --> 00:06:13,560 Speaker 1: are studying bats or are Germans actually studying back? Well? 113 00:06:13,560 --> 00:06:15,960 Speaker 1: That and I noticed in Austen too, there's quite a 114 00:06:15,960 --> 00:06:18,240 Speaker 1: few researchers of course they have a huge bat public. 115 00:06:18,400 --> 00:06:22,160 Speaker 1: Yeah okay, sorry, So anyway back the undensity of Maryland's 116 00:06:22,160 --> 00:06:26,039 Speaker 1: bat lab, they found the bats they were studying that 117 00:06:26,120 --> 00:06:30,159 Speaker 1: they were they were using their their echolocation uh to 118 00:06:30,160 --> 00:06:32,560 Speaker 1: to find a target, obviously, but they were not aiming 119 00:06:32,560 --> 00:06:36,240 Speaker 1: their guiding waves directly at the target. Instead, they were 120 00:06:36,440 --> 00:06:39,600 Speaker 1: alternately pointing the sound beam to either side of the target, 121 00:06:39,920 --> 00:06:43,560 Speaker 1: which the researchers argue is a strategy that optimized with 122 00:06:43,600 --> 00:06:46,480 Speaker 1: the bat's ability to pinpoint the location of a target, 123 00:06:46,640 --> 00:06:48,880 Speaker 1: but also makes it hard for them to detect a 124 00:06:48,920 --> 00:06:51,640 Speaker 1: target in the first place. Okay, so on either side 125 00:06:51,640 --> 00:06:54,560 Speaker 1: of the target, that's where they tried to put their focus. Yeah, 126 00:06:54,680 --> 00:06:57,240 Speaker 1: almost kind of like like hurting an animal, like I'm 127 00:06:57,320 --> 00:06:59,359 Speaker 1: I'm looking here, I'm looking where You're not to know 128 00:06:59,400 --> 00:07:01,720 Speaker 1: where you are? But isn't there something about chopping wood, 129 00:07:01,800 --> 00:07:05,120 Speaker 1: like you don't aim for the center or there's some 130 00:07:05,200 --> 00:07:09,360 Speaker 1: sort of zen. Yeah, but then they also have a 131 00:07:09,640 --> 00:07:13,680 Speaker 1: zen neural response to Bats can separate the massive amount 132 00:07:13,680 --> 00:07:16,920 Speaker 1: of echoes returning from their centar pulses by distinguishing changes 133 00:07:16,960 --> 00:07:20,880 Speaker 1: in amplitude. This is the intensity of the sound between 134 00:07:21,000 --> 00:07:24,920 Speaker 1: different parts of each echo within one point five decibels 135 00:07:25,040 --> 00:07:28,360 Speaker 1: to decide whether the object is a target or just 136 00:07:28,800 --> 00:07:33,320 Speaker 1: background clutter. And the minute change in amplitude is enough 137 00:07:33,360 --> 00:07:36,160 Speaker 1: to cause a delay in the bat's neural response to 138 00:07:36,160 --> 00:07:39,280 Speaker 1: an echo, letting that bat know what's clutter and what's 139 00:07:39,400 --> 00:07:42,440 Speaker 1: the target. Again, imagine that these um, these creatures are 140 00:07:42,480 --> 00:07:45,960 Speaker 1: moving through space at forty miles per hour. They're doing 141 00:07:46,000 --> 00:07:49,280 Speaker 1: all of this as they're approaching the target, and as 142 00:07:49,320 --> 00:07:52,040 Speaker 1: they continue to to hone in on it, they still 143 00:07:52,200 --> 00:07:56,520 Speaker 1: are getting data and adjusting accordingly. Wow. Yeah, they're incredible creatures. 144 00:07:56,960 --> 00:07:59,640 Speaker 1: Have you have you seen a horror movie called The Descent? 145 00:08:00,080 --> 00:08:03,240 Speaker 1: I have not? Okay, well The Descent. First of all, 146 00:08:03,480 --> 00:08:05,360 Speaker 1: if you like horror, movies and you haven't seen The Descent, 147 00:08:05,400 --> 00:08:07,400 Speaker 1: you should check it out because, in my opinion, one 148 00:08:07,440 --> 00:08:09,960 Speaker 1: of one of, if not the best horror films to 149 00:08:09,960 --> 00:08:14,120 Speaker 1: come out in recent decades. But it deals with cave explorers, 150 00:08:14,360 --> 00:08:17,840 Speaker 1: amateur splunkers I guess, who are going down into an 151 00:08:17,880 --> 00:08:23,640 Speaker 1: unexplored cave and there they encounter this uh ghoulish humanoid 152 00:08:23,760 --> 00:08:26,720 Speaker 1: species that you get the impression that is that has 153 00:08:26,800 --> 00:08:29,920 Speaker 1: evolved from humans that that took to the caves in 154 00:08:30,040 --> 00:08:32,840 Speaker 1: some ancient time. So now they're there are these pale, 155 00:08:32,920 --> 00:08:38,640 Speaker 1: ghastly blind humanoid creatures that to use echolocation to find 156 00:08:39,080 --> 00:08:41,680 Speaker 1: prey and to determine where they are in this dark, 157 00:08:41,760 --> 00:08:45,760 Speaker 1: underground environment. So in a sense, it's kind of the 158 00:08:45,760 --> 00:08:48,400 Speaker 1: film's kind of an attempt to uh to understand the 159 00:08:48,400 --> 00:08:50,120 Speaker 1: mind of the bat and understand the sense room of 160 00:08:50,120 --> 00:08:52,680 Speaker 1: the bat, because you have these scenes, these frightening scenes 161 00:08:52,679 --> 00:08:55,040 Speaker 1: of these creatures that will be very near the their 162 00:08:55,040 --> 00:08:57,800 Speaker 1: target that they can't see them, so they'll they'll be 163 00:08:57,840 --> 00:09:00,880 Speaker 1: screeching and hollering in these awful tone in order to 164 00:09:00,960 --> 00:09:05,040 Speaker 1: see the environment around them. That is horrifying. Yeah, but 165 00:09:06,080 --> 00:09:09,280 Speaker 1: a location um. One of the cool things about that 166 00:09:09,400 --> 00:09:12,079 Speaker 1: Zen neural response. Uh. And I was just thinking about 167 00:09:12,080 --> 00:09:15,720 Speaker 1: that too. Even within that nightmare scenario, you do have 168 00:09:15,840 --> 00:09:18,760 Speaker 1: that so much chaos, so much clutter going on, And 169 00:09:19,320 --> 00:09:22,280 Speaker 1: what researchers are saying is that that is that zen 170 00:09:22,400 --> 00:09:26,320 Speaker 1: navigation ability. It's almost like bats have a main screen 171 00:09:26,360 --> 00:09:29,120 Speaker 1: that keeps locked on its target and is trying to 172 00:09:29,200 --> 00:09:33,520 Speaker 1: filter all the neural information, the neural response to the echoes, 173 00:09:33,960 --> 00:09:36,280 Speaker 1: and then it's almost like it has a secondary screen 174 00:09:36,360 --> 00:09:39,640 Speaker 1: that keeps note of all the surrounding stuff behind that. 175 00:09:39,800 --> 00:09:42,920 Speaker 1: It's fascinating because it's it's really doing this the bat brain, 176 00:09:42,960 --> 00:09:44,520 Speaker 1: and this is doing the same thing the human brain 177 00:09:44,600 --> 00:09:48,520 Speaker 1: does because and this is something that really becomes obvious 178 00:09:48,720 --> 00:09:53,240 Speaker 1: in artificial intelligence when we're trying to develop um a 179 00:09:53,280 --> 00:09:56,880 Speaker 1: computer developer robot that can navigate a human environment and 180 00:09:56,960 --> 00:10:00,360 Speaker 1: interact with humans and not accidentally decapitate them as something 181 00:10:00,760 --> 00:10:03,679 Speaker 1: because the human environments, say a cocktail party, but that's 182 00:10:03,720 --> 00:10:05,760 Speaker 1: an example that's come up in some of these artificial 183 00:10:05,760 --> 00:10:09,960 Speaker 1: intelligence papers. Imagine a cocktail party, all of the chaos 184 00:10:09,960 --> 00:10:13,080 Speaker 1: that's going on around you, you know, just if you 185 00:10:13,120 --> 00:10:15,199 Speaker 1: go to something some sort of social engagement this uh, 186 00:10:15,440 --> 00:10:18,000 Speaker 1: this week, do think about this like they're the conversation. 187 00:10:18,120 --> 00:10:21,440 Speaker 1: There's a conversation you're involved in. There's maybe the conversation 188 00:10:21,480 --> 00:10:24,760 Speaker 1: that you're eavesdropping on. They are the conversations you're not 189 00:10:24,840 --> 00:10:27,680 Speaker 1: privy to. There there's the the movement of people, the 190 00:10:27,760 --> 00:10:30,840 Speaker 1: movement of food. There's music, there might be something on 191 00:10:30,840 --> 00:10:33,520 Speaker 1: a TV in the background. The weather might be doing 192 00:10:33,559 --> 00:10:36,240 Speaker 1: something out the window. There are pets moving around. It's 193 00:10:36,320 --> 00:10:38,760 Speaker 1: chaos and our but our brain has to decide what 194 00:10:38,880 --> 00:10:41,680 Speaker 1: is important, what is worth focusing on, what is the 195 00:10:41,960 --> 00:10:44,720 Speaker 1: what is the story, what is the path through this chaos? 196 00:10:44,800 --> 00:10:46,920 Speaker 1: And it has to to make a small slice of 197 00:10:47,040 --> 00:10:49,080 Speaker 1: order out of it. So that's what goes on in 198 00:10:49,120 --> 00:10:51,199 Speaker 1: our brain, and that's what's going on with the bat brain, 199 00:10:51,480 --> 00:10:54,840 Speaker 1: only with some different pieces and flying through the air 200 00:10:54,840 --> 00:10:58,880 Speaker 1: at forty right, So it really isn't then the navigation 201 00:10:59,520 --> 00:11:02,720 Speaker 1: so that you don't fixate on the wrong thing. Um, 202 00:11:02,880 --> 00:11:05,960 Speaker 1: this was astounding too. This was some information that you 203 00:11:06,000 --> 00:11:10,439 Speaker 1: sent me about the sound of our breathing being something 204 00:11:10,720 --> 00:11:15,160 Speaker 1: that bats can actually pick up on and and capitalize on. 205 00:11:15,360 --> 00:11:17,679 Speaker 1: And of course we're talking about vampire bats here, because 206 00:11:17,920 --> 00:11:20,720 Speaker 1: most bats really don't care what humans are up to, 207 00:11:20,800 --> 00:11:23,560 Speaker 1: certainly on a on a breath level. But the vampire 208 00:11:23,600 --> 00:11:26,880 Speaker 1: bat uh he or she is interested because that's a 209 00:11:26,920 --> 00:11:29,800 Speaker 1: meal that's as good as a cow right there. Blood 210 00:11:29,800 --> 00:11:32,200 Speaker 1: taste good. And if it can land near that human 211 00:11:32,240 --> 00:11:34,720 Speaker 1: and then crawl up to it and start to open 212 00:11:34,760 --> 00:11:38,520 Speaker 1: a little cut in the next day and start laughing away, 213 00:11:38,880 --> 00:11:41,679 Speaker 1: then all the better. And yeah, they've they've connected studies. 214 00:11:41,679 --> 00:11:44,240 Speaker 1: They found that they can they can recognize pray by 215 00:11:44,240 --> 00:11:47,360 Speaker 1: the sound of its breathing, and really can can recognize 216 00:11:47,440 --> 00:11:50,679 Speaker 1: human human breathing the sound of human breathing better than 217 00:11:50,760 --> 00:11:55,560 Speaker 1: humans can. Yeah, didn't they didn't uh an experiment where 218 00:11:55,600 --> 00:11:58,120 Speaker 1: they had some I believe it was cow's blood was 219 00:11:58,160 --> 00:12:02,320 Speaker 1: the reward, and they had some um film clips of 220 00:12:02,400 --> 00:12:05,000 Speaker 1: humans breathing and so when they match it up, they 221 00:12:05,040 --> 00:12:08,120 Speaker 1: got the reward. And then they pair them with the 222 00:12:08,120 --> 00:12:12,520 Speaker 1: the humans who were supposed to detect the breath patterns, 223 00:12:12,640 --> 00:12:15,480 Speaker 1: and humans were kind of awful at it in comparison. 224 00:12:15,840 --> 00:12:18,240 Speaker 1: That's just not something we're programmed for. No, no, But 225 00:12:18,360 --> 00:12:20,680 Speaker 1: it's a it's a little bit freaky, I guess, because 226 00:12:20,679 --> 00:12:24,120 Speaker 1: you're thinking about the possibility of a vampire about actually 227 00:12:24,160 --> 00:12:27,880 Speaker 1: stalking you, and this is what it's using it for right. Um, 228 00:12:28,000 --> 00:12:32,439 Speaker 1: But of course vampire abouts mainly feed on cattle, so 229 00:12:32,520 --> 00:12:34,040 Speaker 1: we don't have to be too worried about it. But 230 00:12:34,080 --> 00:12:37,199 Speaker 1: of course most bats aren't concerned with human blood. They're 231 00:12:37,200 --> 00:12:40,960 Speaker 1: concerned with insects. And UH found this really interesting. There 232 00:12:41,000 --> 00:12:43,240 Speaker 1: was a study from the Max Plank Institute and they 233 00:12:43,280 --> 00:12:46,320 Speaker 1: found that bats can cut in on the sound of 234 00:12:46,400 --> 00:12:50,880 Speaker 1: insect coupling. So in the same way that say, adjacent 235 00:12:50,920 --> 00:12:58,520 Speaker 1: vorhees cannot resist killing teenagers while they're having sex. Uh, 236 00:12:58,559 --> 00:13:03,200 Speaker 1: these bats can don't resist the opportunity of two insects 237 00:13:03,280 --> 00:13:07,320 Speaker 1: having sex. Because they're they're occupied, and they're making a 238 00:13:07,320 --> 00:13:09,400 Speaker 1: lot more noise than usual. It's the perfect time to 239 00:13:09,480 --> 00:13:11,600 Speaker 1: zoom in and eat them. It really is a slash 240 00:13:11,679 --> 00:13:15,080 Speaker 1: or film right because flies right, and this is the 241 00:13:15,120 --> 00:13:18,400 Speaker 1: example that was given, is that flies normally at night 242 00:13:18,400 --> 00:13:21,360 Speaker 1: aren't very active, so they wouldn't put put off too 243 00:13:21,360 --> 00:13:24,120 Speaker 1: many sound waves. But yes, when they're doing the deed, 244 00:13:24,320 --> 00:13:27,800 Speaker 1: that is when they are um usually going to be 245 00:13:27,920 --> 00:13:31,120 Speaker 1: eaten by a bat. So what I think is fascinating 246 00:13:31,160 --> 00:13:33,680 Speaker 1: about that is it always boils down to in nature 247 00:13:33,720 --> 00:13:36,920 Speaker 1: that that that if you're going to copulate, it can 248 00:13:36,960 --> 00:13:39,520 Speaker 1: come at really high stakes, you know. I mean, because 249 00:13:39,600 --> 00:13:43,040 Speaker 1: you take one second out to do the deed, and 250 00:13:43,080 --> 00:13:45,920 Speaker 1: all of a sudden you become someone's lunch or dinner. 251 00:13:46,840 --> 00:13:49,080 Speaker 1: And certainly you have you have animals that take far 252 00:13:49,200 --> 00:13:51,360 Speaker 1: less time with the act than others. I mean, that's 253 00:13:51,360 --> 00:13:54,360 Speaker 1: a whole podcast in and of itself. But but yeah, 254 00:13:54,400 --> 00:13:56,480 Speaker 1: if you're if you're an insect and you're out there 255 00:13:56,480 --> 00:13:59,280 Speaker 1: and you're taking the time to spend a little time 256 00:13:59,280 --> 00:14:02,560 Speaker 1: with your insects, sweetie, just look out at what's flying 257 00:14:02,600 --> 00:14:05,119 Speaker 1: up behind you. Yeah, I mean, you're making these broadband 258 00:14:05,120 --> 00:14:09,520 Speaker 1: buzzing noises. Um, which is great, we understand, but yeah, 259 00:14:09,600 --> 00:14:12,679 Speaker 1: that is it's gonna get you noticed. You know, we're 260 00:14:12,679 --> 00:14:14,800 Speaker 1: gonna take a quick break and when we come back, 261 00:14:15,200 --> 00:14:23,880 Speaker 1: we're going to talk about babbling baby bats. All right, 262 00:14:23,920 --> 00:14:30,080 Speaker 1: We're back babbling baby bats like like that's exactly the 263 00:14:30,200 --> 00:14:33,560 Speaker 1: example that was drawn from this. This was this comes 264 00:14:33,560 --> 00:14:38,440 Speaker 1: from my study from the University of Laying in Nuremberg 265 00:14:38,560 --> 00:14:41,720 Speaker 1: in Germany, and they found it, just like human children, 266 00:14:42,320 --> 00:14:48,560 Speaker 1: bat pups may amuse themselves by essentially babbling nonsense. I 267 00:14:48,600 --> 00:14:50,400 Speaker 1: listened to an MP three of it, which I'm not 268 00:14:50,400 --> 00:14:52,520 Speaker 1: gonna play here because it really didn't mean anything to 269 00:14:52,520 --> 00:14:54,960 Speaker 1: me because it just sounded like bat squeaks. But to 270 00:14:55,200 --> 00:14:58,520 Speaker 1: to uh an informed ear who listens to a lot 271 00:14:58,560 --> 00:15:01,560 Speaker 1: of bat squeaks, you and tell that this is out 272 00:15:01,560 --> 00:15:04,880 Speaker 1: of keeping with with some of the more nuanced that 273 00:15:05,160 --> 00:15:08,240 Speaker 1: language that is making up their song, which is a 274 00:15:08,280 --> 00:15:11,560 Speaker 1: lot like babies babbling, because with the idea behind that 275 00:15:11,800 --> 00:15:14,880 Speaker 1: baby's babbling is that they're trying out language. They're trying 276 00:15:14,880 --> 00:15:18,760 Speaker 1: to piece syllables together. So same idea with these little 277 00:15:18,880 --> 00:15:22,080 Speaker 1: bat pups. And the reason they know that it's that 278 00:15:22,160 --> 00:15:25,360 Speaker 1: it's you know, babbling, is because it's out of social context. 279 00:15:25,360 --> 00:15:30,120 Speaker 1: So they're making this hissing, barking, gurgling or whatever sounds screeches, 280 00:15:30,400 --> 00:15:33,440 Speaker 1: and there's no reason for them to be making these strange, 281 00:15:33,480 --> 00:15:37,960 Speaker 1: sort of interlocking series of sounds other than trying out 282 00:15:38,000 --> 00:15:40,800 Speaker 1: their language. And this I thought was interesting is that 283 00:15:41,320 --> 00:15:43,840 Speaker 1: it has been found that bats and humans actually share 284 00:15:43,880 --> 00:15:47,600 Speaker 1: a common gene for communication. Yeah. The gene is called 285 00:15:47,840 --> 00:15:51,840 Speaker 1: fox P two and it's thought that this gene functions 286 00:15:51,920 --> 00:15:56,760 Speaker 1: in the sensory motor coordination of vocalizations, since speech and 287 00:15:56,840 --> 00:16:01,760 Speaker 1: echo location both involved producing um these complex vocal signals 288 00:16:02,320 --> 00:16:06,480 Speaker 1: via sophisticated coordination of the mouth in the face. So 289 00:16:06,520 --> 00:16:08,760 Speaker 1: when you look at a bat's face, you really can 290 00:16:08,800 --> 00:16:10,680 Speaker 1: sort of see that. And if you've ever seen them 291 00:16:10,840 --> 00:16:13,080 Speaker 1: pictures of bats screaming, you can see that they are 292 00:16:13,120 --> 00:16:15,920 Speaker 1: contorting their face. Yea, those kind of it's interesting to 293 00:16:16,000 --> 00:16:18,760 Speaker 1: know that we share that same gene, that this thought 294 00:16:18,920 --> 00:16:21,480 Speaker 1: that helps to coordinate this effort. Well, you know, that's 295 00:16:21,840 --> 00:16:24,040 Speaker 1: in our previous podcast on bats, we discussed you know 296 00:16:24,080 --> 00:16:27,400 Speaker 1: why in in many mythologies bats there there's something creepy 297 00:16:27,400 --> 00:16:29,640 Speaker 1: about them, there's something evil about them, or or just 298 00:16:29,720 --> 00:16:32,480 Speaker 1: something supernatural. And certainly if you look at a picture 299 00:16:32,480 --> 00:16:34,960 Speaker 1: of a screaming bat, I wonder to what extent the 300 00:16:34,960 --> 00:16:38,120 Speaker 1: the uncanny familiarity? Yeah, you know, to what extent that 301 00:16:38,160 --> 00:16:40,720 Speaker 1: plays into it, especially right because we talked about this 302 00:16:40,800 --> 00:16:42,680 Speaker 1: before in the last podcast. But you know, if you're 303 00:16:42,720 --> 00:16:45,880 Speaker 1: a fifteenth century seller and you see a vampire that 304 00:16:46,120 --> 00:16:49,960 Speaker 1: coming at you, and then you've witnessed it feeding from 305 00:16:50,000 --> 00:16:52,840 Speaker 1: reeral livestock, of course you would be horrified. And yes, 306 00:16:52,920 --> 00:16:55,800 Speaker 1: you might be able to see the familiar in the unfamiliar. 307 00:16:56,520 --> 00:16:58,720 Speaker 1: You know, I think the battling bat that would be 308 00:16:58,920 --> 00:17:02,160 Speaker 1: a great name for spook you pub you know, preferably 309 00:17:02,160 --> 00:17:05,120 Speaker 1: in a little of nowhere that are are our heroes 310 00:17:05,720 --> 00:17:07,680 Speaker 1: encounter in the dead of night. They're like, oh, look 311 00:17:07,920 --> 00:17:10,600 Speaker 1: the battling bats open, let's go in there. I feel 312 00:17:10,640 --> 00:17:12,520 Speaker 1: like you need to say it with an accent. Now, oh, 313 00:17:12,640 --> 00:17:16,800 Speaker 1: the bubbling bat. I don't know what accent that is? Irish? 314 00:17:16,840 --> 00:17:20,600 Speaker 1: That works. Here's another interesting bat song study, and this 315 00:17:20,680 --> 00:17:23,600 Speaker 1: one comes to us from the University of Texas at Austin. 316 00:17:23,680 --> 00:17:26,840 Speaker 1: So again with more of that Texas Germany economy here 317 00:17:26,880 --> 00:17:31,600 Speaker 1: in bat studies, and they found it like like a 318 00:17:31,760 --> 00:17:35,880 Speaker 1: diner ordering a dessert, they based solely on the US 319 00:17:35,960 --> 00:17:38,520 Speaker 1: and OZ of another customer, and that's the next table. 320 00:17:38,600 --> 00:17:40,880 Speaker 1: They they've got the soufle and they're like, oh, that's 321 00:17:40,960 --> 00:17:43,919 Speaker 1: the best thing. Yeah. So so you're like, oh, that 322 00:17:43,960 --> 00:17:45,600 Speaker 1: sounds like they're having a ball with that dish. All 323 00:17:45,600 --> 00:17:48,040 Speaker 1: of what they're having right. Well, you find a similar 324 00:17:48,080 --> 00:17:51,440 Speaker 1: thing with with frog eating bats that learn to eat, 325 00:17:52,160 --> 00:17:55,080 Speaker 1: there's this new and exciting prey by eavesdropping on their 326 00:17:55,119 --> 00:17:59,920 Speaker 1: neighbors as they eat. So so here we see it's 327 00:18:00,080 --> 00:18:03,400 Speaker 1: you role that they're there. They're hearing plays and their 328 00:18:03,440 --> 00:18:06,959 Speaker 1: ability to learn how to behave like, whereas as other animals, 329 00:18:07,040 --> 00:18:10,760 Speaker 1: you have a visible observation of what's going on. Oh this, 330 00:18:11,040 --> 00:18:13,720 Speaker 1: you know, the the other mormot here just you know, 331 00:18:13,840 --> 00:18:16,040 Speaker 1: wounded a scorpion and now he's going to teach me 332 00:18:16,080 --> 00:18:17,679 Speaker 1: how to play. Or my cat brings me a wounded 333 00:18:17,720 --> 00:18:20,440 Speaker 1: squirrel trying to teach me how to hunt. Maybe, but 334 00:18:20,440 --> 00:18:23,639 Speaker 1: but here it's it's it's a sonic world, so they're 335 00:18:23,720 --> 00:18:26,399 Speaker 1: they're listening, they're hearing the sounds of of what is 336 00:18:26,440 --> 00:18:28,399 Speaker 1: an appropriate meal and how to eat it well. And 337 00:18:28,480 --> 00:18:32,040 Speaker 1: it's such a high level of adaptivity too, because we 338 00:18:32,520 --> 00:18:36,120 Speaker 1: have known in the past that frogs, excuse me, bats 339 00:18:36,280 --> 00:18:39,240 Speaker 1: will pick up on certain frequencies of certain frogs and 340 00:18:39,280 --> 00:18:42,000 Speaker 1: distinguish which ones are poisonous in which ones are not, 341 00:18:42,200 --> 00:18:44,040 Speaker 1: and go after the ones that are not poisonous. But 342 00:18:44,080 --> 00:18:46,960 Speaker 1: this is an entirely different thing to to eavesdrop and 343 00:18:47,000 --> 00:18:50,760 Speaker 1: then say, Okay, that person didn't keel over from their dessert. 344 00:18:51,040 --> 00:18:52,879 Speaker 1: I think I'm gonna try it out. And then we've 345 00:18:52,920 --> 00:18:57,080 Speaker 1: also found in studies that that bats use their ultrasonic 346 00:18:57,280 --> 00:19:01,680 Speaker 1: echolocation calls to recognize their own species, which is really interesting. 347 00:19:02,000 --> 00:19:04,200 Speaker 1: Um which in a way it's pretty straightforward. I mean, 348 00:19:04,640 --> 00:19:07,280 Speaker 1: one species needs to know how to identify its own kind, 349 00:19:07,760 --> 00:19:09,760 Speaker 1: and they live in this world of sound, this world 350 00:19:09,800 --> 00:19:12,400 Speaker 1: of songs, so they need to be able to hear 351 00:19:12,480 --> 00:19:16,520 Speaker 1: the songs of their fellow bat. Yeah, which we discussed 352 00:19:16,520 --> 00:19:18,560 Speaker 1: in the last podcast is really important because they are 353 00:19:18,640 --> 00:19:22,760 Speaker 1: highly social and they tend to roost with groups of 354 00:19:23,359 --> 00:19:25,320 Speaker 1: forty so they would want to seek out people in 355 00:19:25,359 --> 00:19:30,200 Speaker 1: their group. Um, and you know, we're talking about people 356 00:19:30,200 --> 00:19:32,000 Speaker 1: in the group that they could either be related to 357 00:19:32,160 --> 00:19:35,200 Speaker 1: or they're just sort of you know, some potico with. 358 00:19:36,000 --> 00:19:39,280 Speaker 1: Because they actually have relationships with this group to the 359 00:19:39,320 --> 00:19:41,879 Speaker 1: point where they will go and get them food in 360 00:19:41,880 --> 00:19:44,680 Speaker 1: case they are sick and they cannot hunt for themselves. Yeah, 361 00:19:44,720 --> 00:19:46,280 Speaker 1: So that they need to know who's on their team, 362 00:19:46,280 --> 00:19:49,399 Speaker 1: who's who their their family is really in there, and 363 00:19:49,440 --> 00:19:52,400 Speaker 1: they do that through song, through sound. And then finally, 364 00:19:52,440 --> 00:19:55,960 Speaker 1: of course bats do have love songs, which of course 365 00:19:56,240 --> 00:19:59,520 Speaker 1: like the very white of ba songs. Right, I can 366 00:19:59,560 --> 00:20:02,760 Speaker 1: imagine a big Verry White type bat. It's kind of monstrous, 367 00:20:02,800 --> 00:20:08,199 Speaker 1: but but also yeah, like Verry White himself, you know, 368 00:20:08,240 --> 00:20:10,840 Speaker 1: he's a big man. He what he lacked in uh 369 00:20:10,960 --> 00:20:15,520 Speaker 1: in pure handsomeness he made up for and just voice 370 00:20:15,520 --> 00:20:20,359 Speaker 1: like hunting and just just sensual charm. So this is 371 00:20:20,400 --> 00:20:22,560 Speaker 1: a comes from study from the Department of Biology at 372 00:20:22,560 --> 00:20:25,520 Speaker 1: Texas and UM the University of Texas at Austin, where 373 00:20:25,520 --> 00:20:29,040 Speaker 1: the researchers spent three years analyzing thousands of Brazilian free 374 00:20:29,080 --> 00:20:32,280 Speaker 1: tailed bats and UH and the recordings of them to 375 00:20:32,400 --> 00:20:35,280 Speaker 1: understand what they were on about. And they determined that 376 00:20:35,320 --> 00:20:39,720 Speaker 1: the male bats are a very distinguishable syllable and UH 377 00:20:40,000 --> 00:20:43,320 Speaker 1: and choice of phrase that they use as love songs 378 00:20:43,320 --> 00:20:46,119 Speaker 1: to attract females and in some cases to tell the 379 00:20:46,160 --> 00:20:51,600 Speaker 1: other male bats to stand clear that blocking yeah yeah uh. 380 00:20:51,920 --> 00:20:54,640 Speaker 1: Let's see, didn't they have syllables that were combined in 381 00:20:54,680 --> 00:20:58,760 Speaker 1: these specific ways to create types of phrases UM and 382 00:20:58,800 --> 00:21:01,760 Speaker 1: I think they phrases were a chirp, a buzz or trill, 383 00:21:02,960 --> 00:21:06,119 Speaker 1: which is very interesting. Again, you don't think of bats 384 00:21:06,160 --> 00:21:10,600 Speaker 1: as having this ability, these syllables that they could um, 385 00:21:10,680 --> 00:21:13,440 Speaker 1: that they can actually use in their language. But I 386 00:21:13,440 --> 00:21:16,600 Speaker 1: think it's fascinating. And again this wasn't at Texas, ANA, right, 387 00:21:16,800 --> 00:21:19,359 Speaker 1: and I believe that there's a ton of study going 388 00:21:19,480 --> 00:21:23,719 Speaker 1: on of the bats at Congress Avenue Bridge and if 389 00:21:23,760 --> 00:21:27,280 Speaker 1: you've never seen any photos before. It's definitely worth googling. 390 00:21:27,280 --> 00:21:30,080 Speaker 1: We'll put up some phaties too. Yeah, possibly a YouTube 391 00:21:30,080 --> 00:21:31,600 Speaker 1: clip of that if I can find one. I'm I'm 392 00:21:31,640 --> 00:21:33,720 Speaker 1: sure I can. Yeah. But they're about a million bats 393 00:21:33,720 --> 00:21:37,119 Speaker 1: living under that bridge. It's fascinating to see them in caves, 394 00:21:37,160 --> 00:21:40,000 Speaker 1: but it's somehow to see them out in a man 395 00:21:40,000 --> 00:21:45,480 Speaker 1: made structure like that is. Uh, it's wonderfully grotesque because 396 00:21:45,480 --> 00:21:48,440 Speaker 1: they're just covering every inch of it. Wonderfully grotesque. I 397 00:21:48,600 --> 00:21:51,119 Speaker 1: think that's a good way to describe the bats in 398 00:21:51,520 --> 00:21:55,960 Speaker 1: some instances. I mean, there, there, there. They certainly can 399 00:21:55,960 --> 00:21:59,520 Speaker 1: be frightening and weird creatures. But as we've discussed here, 400 00:21:59,600 --> 00:22:01,680 Speaker 1: with their use of that location, their use of sound, 401 00:22:01,800 --> 00:22:05,040 Speaker 1: and they're they're really their lives in this world of song. 402 00:22:05,680 --> 00:22:08,960 Speaker 1: Uh that they really there is really a beauty to 403 00:22:09,040 --> 00:22:13,000 Speaker 1: them that that's easy to miss if you don't listen closer, 404 00:22:13,040 --> 00:22:15,560 Speaker 1: you know. Yeah. And I wanted to mention too that 405 00:22:15,640 --> 00:22:18,760 Speaker 1: there's a free online tool called i Bats i D 406 00:22:19,560 --> 00:22:23,200 Speaker 1: and this is actually a major boost helping to conserve bats, 407 00:22:23,240 --> 00:22:27,680 Speaker 1: particularly in Europe where there's been quite a decline. But um, 408 00:22:27,720 --> 00:22:32,920 Speaker 1: it helps to actually in bat populations figure out which 409 00:22:33,000 --> 00:22:35,840 Speaker 1: kind of bats are there, what species are there, and um, 410 00:22:35,880 --> 00:22:38,200 Speaker 1: what sort of numbers they're looking at. So if anybody's 411 00:22:38,240 --> 00:22:41,760 Speaker 1: interested in that, check it out. You know, there was 412 00:22:42,960 --> 00:22:45,360 Speaker 1: you familiar with the books Century by Corona and McCarthy 413 00:22:46,080 --> 00:22:48,720 Speaker 1: as one of his early books takes place in Knoxville. 414 00:22:49,680 --> 00:22:52,760 Speaker 1: Fabulous book. But there's a to a certain extent, it's 415 00:22:52,840 --> 00:22:55,639 Speaker 1: kind of a hasty story because you have a you 416 00:22:55,640 --> 00:22:57,480 Speaker 1: have the main character Suentery, and then there's this other 417 00:22:57,640 --> 00:23:01,600 Speaker 1: kind of bump in the Tom Solilary character, uh, the encounter. 418 00:23:01,640 --> 00:23:04,760 Speaker 1: And he's always he always has these schemes. Um Corrogate 419 00:23:04,840 --> 00:23:07,680 Speaker 1: is his name. And he hears that some of the 420 00:23:07,760 --> 00:23:10,720 Speaker 1: university is studying bats, and then they'll give him. It's 421 00:23:10,720 --> 00:23:13,040 Speaker 1: something like a nickel or I think at the amount 422 00:23:13,040 --> 00:23:14,919 Speaker 1: of minute. It's some piddling amount of money for every 423 00:23:15,000 --> 00:23:17,399 Speaker 1: dead bat that is brought in. Of course, the idea 424 00:23:17,440 --> 00:23:20,959 Speaker 1: here is the professors want people to find dead bats, 425 00:23:21,119 --> 00:23:23,159 Speaker 1: naturally occurring dead bats, so they can study them and 426 00:23:23,160 --> 00:23:27,239 Speaker 1: determine what killed them. So but Harrogate decides that this 427 00:23:27,320 --> 00:23:29,280 Speaker 1: is the way he's gonna make it big, is that 428 00:23:29,440 --> 00:23:32,960 Speaker 1: he devises a way to poison the bats so that 429 00:23:33,000 --> 00:23:34,640 Speaker 1: he can just get a big bushel load of them 430 00:23:34,680 --> 00:23:37,040 Speaker 1: that he thinks he's gonna fall into the university and 431 00:23:37,080 --> 00:23:40,760 Speaker 1: just take him just an equally large bushel of cash, 432 00:23:41,240 --> 00:23:43,240 Speaker 1: which of course doesn't work because they're an autopsy and 433 00:23:43,280 --> 00:23:47,160 Speaker 1: determined the bat diet because it consumes trychnine. See there, 434 00:23:47,440 --> 00:23:49,399 Speaker 1: there's there's nothing to gain out of that. And in 435 00:23:49,400 --> 00:23:52,320 Speaker 1: case anybody's thinking about that, if you happen to see 436 00:23:52,359 --> 00:23:54,920 Speaker 1: a dead bird or what appears to be a dead 437 00:23:55,160 --> 00:23:57,600 Speaker 1: excuse me, bat, do you not pick it up? It's 438 00:23:57,600 --> 00:24:03,040 Speaker 1: probably rabies, which causes paralley. This. Yeah, but at Horrogate 439 00:24:03,119 --> 00:24:05,920 Speaker 1: he did. He was gaming the science of bats, though, 440 00:24:05,920 --> 00:24:07,879 Speaker 1: because the way in the book, the way he figures 441 00:24:07,880 --> 00:24:10,920 Speaker 1: out how to to bait them, is that he puts 442 00:24:10,920 --> 00:24:13,720 Speaker 1: the poison inside a little piece of meat and then 443 00:24:13,720 --> 00:24:16,200 Speaker 1: he slings shots it up into the air at night 444 00:24:17,800 --> 00:24:20,600 Speaker 1: after all right, okay, so there you go just a little. 445 00:24:21,760 --> 00:24:24,120 Speaker 1: So now I want to sling shot some a piece 446 00:24:24,160 --> 00:24:27,160 Speaker 1: of ham into the air tonight. All right, Well, let's 447 00:24:27,160 --> 00:24:29,359 Speaker 1: call the robot over here and see if he has 448 00:24:29,359 --> 00:24:33,760 Speaker 1: any listener mail for us. All right, this one is 449 00:24:33,800 --> 00:24:36,600 Speaker 1: from Lizzie. Lizzie writes, in and says, Hello, Robert and Julie. 450 00:24:36,680 --> 00:24:39,479 Speaker 1: After listening to your podcast, I decided to share this 451 00:24:39,520 --> 00:24:42,000 Speaker 1: with you. And she's responding to our our sleep podcast 452 00:24:42,200 --> 00:24:44,280 Speaker 1: sleep No More, that we recently did, which deals with 453 00:24:44,359 --> 00:24:48,800 Speaker 1: sleep deprivation and sleep replacement drugs. She says, um, and 454 00:24:48,880 --> 00:24:52,719 Speaker 1: she sends us this website for http cohen slash slash 455 00:24:53,080 --> 00:24:56,520 Speaker 1: sleep y t I got me and she says. It's 456 00:24:56,520 --> 00:24:58,600 Speaker 1: a sleep calculator. It tells you when you should go 457 00:24:58,640 --> 00:25:00,639 Speaker 1: to bed in order to wake up at the end 458 00:25:00,680 --> 00:25:03,680 Speaker 1: of a sleep cycle. A full cycle sleep takes ninety 459 00:25:03,680 --> 00:25:06,040 Speaker 1: minutes the end. You should have five to six sleep 460 00:25:06,080 --> 00:25:08,760 Speaker 1: cycles in a night's rest. I was a little skeptical 461 00:25:08,840 --> 00:25:10,600 Speaker 1: at first when I heard about it and decided over 462 00:25:10,640 --> 00:25:13,119 Speaker 1: a month I would try it and record how I 463 00:25:13,200 --> 00:25:15,359 Speaker 1: felt in the mornings after I woke up, how many 464 00:25:15,400 --> 00:25:18,200 Speaker 1: times I hit snooze, my energy level throughout the day, 465 00:25:18,240 --> 00:25:20,639 Speaker 1: and my temperament in the mornings. I used it and 466 00:25:20,680 --> 00:25:23,119 Speaker 1: discovered that I feel best if I have had seven 467 00:25:23,160 --> 00:25:26,000 Speaker 1: point five hours or nine hours in nine hours and 468 00:25:26,119 --> 00:25:29,680 Speaker 1: sounds great. Um. I did discover if I slept eight 469 00:25:29,760 --> 00:25:32,040 Speaker 1: or eight point five hours, I was more likely to 470 00:25:32,119 --> 00:25:35,560 Speaker 1: hit snooze and record that I was incredibly grumpy. So 471 00:25:35,600 --> 00:25:38,320 Speaker 1: that's interesting. It's like you think there'd be a sweet 472 00:25:38,359 --> 00:25:41,720 Speaker 1: spot all in the middle there, but not religious. She 473 00:25:41,920 --> 00:25:43,680 Speaker 1: goes on, I even had a couple of days where 474 00:25:43,680 --> 00:25:46,640 Speaker 1: I stayed up very late and wound up wound up 475 00:25:46,640 --> 00:25:48,760 Speaker 1: only getting around three to four hours of sleep. When 476 00:25:48,800 --> 00:25:51,000 Speaker 1: I got three hours of sleep, I had more energy 477 00:25:51,040 --> 00:25:54,080 Speaker 1: for longer than when I had four hours of sleep. 478 00:25:54,720 --> 00:25:57,600 Speaker 1: But I noted I did turn to an outside source 479 00:25:57,600 --> 00:26:00,600 Speaker 1: of energy, caffeine on both of those days. Anyway, it 480 00:26:00,640 --> 00:26:02,880 Speaker 1: has changed my sleep habits, so I aim for seven 481 00:26:02,960 --> 00:26:05,520 Speaker 1: point five hours these days and not eight. I never 482 00:26:05,600 --> 00:26:08,280 Speaker 1: used to qualify myself as a morning for a person, 483 00:26:08,320 --> 00:26:10,640 Speaker 1: but I believe that is that that is changing. Now, 484 00:26:10,680 --> 00:26:13,480 Speaker 1: Thanks again for a great podcast. And that was sleep 485 00:26:13,840 --> 00:26:16,320 Speaker 1: y t I dot com Yes, s l e E 486 00:26:16,560 --> 00:26:21,040 Speaker 1: p y t I dot me okay. And then we 487 00:26:21,200 --> 00:26:24,560 Speaker 1: heard from Carlin in response to our City Preachers episode. 488 00:26:24,560 --> 00:26:26,080 Speaker 1: Carlin writs, and it is a great job. In this 489 00:26:26,119 --> 00:26:30,040 Speaker 1: episode two points in regards to a holiday for envy, 490 00:26:30,280 --> 00:26:33,080 Speaker 1: birthdays are a great example. A group of people gather 491 00:26:33,160 --> 00:26:36,600 Speaker 1: around the birthday person being showered with gifts while everyone 492 00:26:36,640 --> 00:26:38,960 Speaker 1: else watches an Indy. And this is related to a 493 00:26:39,000 --> 00:26:43,080 Speaker 1: mister man we read in that episode seven deadly sins 494 00:26:43,080 --> 00:26:46,760 Speaker 1: I'll match up with with traditional US holidays. Uh. And 495 00:26:46,800 --> 00:26:49,639 Speaker 1: then he makes a second point here, Carlin, does you 496 00:26:49,680 --> 00:26:53,560 Speaker 1: mentioned in in neighborhoods in bad repair, people would be 497 00:26:53,560 --> 00:26:56,159 Speaker 1: more likely to walk past someone in need. In the 498 00:26:56,280 --> 00:26:58,959 Speaker 1: cleaner ones, people take notice. This is similar to my 499 00:26:59,119 --> 00:27:02,600 Speaker 1: experience work in Christmas at Walmart. When I would start 500 00:27:02,640 --> 00:27:05,240 Speaker 1: my shift, I worked very hard to clean the toy department. 501 00:27:05,640 --> 00:27:07,880 Speaker 1: Once the aisles were cleaned, the parents would not let 502 00:27:07,880 --> 00:27:09,959 Speaker 1: their child be the first to make a mess. As 503 00:27:10,000 --> 00:27:12,040 Speaker 1: long as I did a little clean up throughout the shift, 504 00:27:12,280 --> 00:27:15,320 Speaker 1: I had a very easy time. So there you go 505 00:27:15,400 --> 00:27:18,879 Speaker 1: in action, which makes me think of those uh. I 506 00:27:18,920 --> 00:27:22,720 Speaker 1: assume they still have these restaurants where you were encouraged 507 00:27:22,760 --> 00:27:25,800 Speaker 1: to throw peanut husts on the floor. Have you dined 508 00:27:25,800 --> 00:27:29,080 Speaker 1: at these uh one time ago? Yeah, he made a 509 00:27:29,119 --> 00:27:32,920 Speaker 1: wonderful face at that gree Um. I always wonder it's 510 00:27:32,960 --> 00:27:35,120 Speaker 1: like that that sounds like a recipe for disaster, because 511 00:27:35,119 --> 00:27:38,280 Speaker 1: you're basically telling me the clientele the places a wreck, 512 00:27:38,960 --> 00:27:41,439 Speaker 1: throw food on the floor, we don't care. It's like 513 00:27:41,520 --> 00:27:43,840 Speaker 1: that's you're just opening the door then, because because the 514 00:27:43,880 --> 00:27:46,040 Speaker 1: whole idea is that if the place is already a wreck, 515 00:27:46,640 --> 00:27:49,560 Speaker 1: we were more inclined to let people abuse that space. Yeah, 516 00:27:49,640 --> 00:27:51,800 Speaker 1: but you don't see I mean, you just saw the 517 00:27:51,800 --> 00:27:55,000 Speaker 1: peanut shells, right, you just saw the casings. You didn't 518 00:27:55,040 --> 00:27:59,480 Speaker 1: see like beer cans and like old shoes, And so 519 00:27:59,560 --> 00:28:02,520 Speaker 1: maybe it's long as your uniform and just peo. I 520 00:28:02,560 --> 00:28:04,880 Speaker 1: think it's the psychological thing where it's like, you know what, 521 00:28:04,960 --> 00:28:06,840 Speaker 1: you are allowed to do this one thing that your 522 00:28:06,840 --> 00:28:09,359 Speaker 1: mother told you never to do, which is to to 523 00:28:09,480 --> 00:28:12,159 Speaker 1: throw this peanut shell down. And so people are they 524 00:28:12,160 --> 00:28:14,360 Speaker 1: feel like they're getting away with something. It's quite exciting. 525 00:28:14,960 --> 00:28:17,440 Speaker 1: All right. Well, here's one last piece of listener mail, 526 00:28:17,440 --> 00:28:20,879 Speaker 1: and this is from Stevie. Stevie writes in UM pretty 527 00:28:20,920 --> 00:28:22,919 Speaker 1: much about the same topic. Here, says, I was just 528 00:28:22,960 --> 00:28:25,840 Speaker 1: listening to your listener mail on the last podcast you did, 529 00:28:26,000 --> 00:28:28,000 Speaker 1: and the person writing in was connecting the seven Deadly 530 00:28:28,040 --> 00:28:31,440 Speaker 1: since to holidays. I can see how those those connections 531 00:28:31,440 --> 00:28:33,480 Speaker 1: can be made. I was also thinking about the question 532 00:28:33,520 --> 00:28:36,520 Speaker 1: the listener post about envy and what holiday that would be? 533 00:28:36,800 --> 00:28:39,680 Speaker 1: What about New Year's You both were talking about envy 534 00:28:39,760 --> 00:28:42,760 Speaker 1: being the sin of wanting to obtain and grasping for 535 00:28:42,800 --> 00:28:45,840 Speaker 1: something you don't have. Isn't that what New Year's resolutions are, 536 00:28:46,120 --> 00:28:48,760 Speaker 1: setting a resolution for yourself to do something or obtain 537 00:28:48,880 --> 00:28:51,320 Speaker 1: something you do not have. Plus it can lead to 538 00:28:51,480 --> 00:28:53,760 Speaker 1: envy because by the end of the first month, most 539 00:28:53,800 --> 00:28:56,520 Speaker 1: people end up breaking their resolutions and giving up on them, 540 00:28:56,520 --> 00:28:58,560 Speaker 1: while envying the results of those who have stuck with 541 00:28:58,600 --> 00:29:01,680 Speaker 1: their resolutions. Uh, just a thought. I love listening to 542 00:29:01,720 --> 00:29:03,960 Speaker 1: your podcast, and I've learned so much in such a 543 00:29:04,040 --> 00:29:07,960 Speaker 1: short period of time. Keep the knowledge and insight coming, guys. Well, 544 00:29:08,760 --> 00:29:11,800 Speaker 1: she makes an interesting case for for New Year's an energy. 545 00:29:11,840 --> 00:29:14,160 Speaker 1: I don't. I don't know, it's it's worth pondering. I'm not. 546 00:29:15,360 --> 00:29:16,880 Speaker 1: I'm not sure. I mean, to a certain extent, I 547 00:29:16,920 --> 00:29:19,480 Speaker 1: can see there's a certain grasping and saying I will 548 00:29:20,480 --> 00:29:23,440 Speaker 1: I will do this, I will be this. But it's 549 00:29:23,480 --> 00:29:27,200 Speaker 1: a so, it's it's not completely cut and dry there so, 550 00:29:27,640 --> 00:29:29,360 Speaker 1: And I think it depends on what your list is, 551 00:29:30,080 --> 00:29:34,080 Speaker 1: you know, if it's like I want one million dollars 552 00:29:34,600 --> 00:29:37,960 Speaker 1: or lollipops, yeah, or how you're framing it, like, for instance, 553 00:29:38,000 --> 00:29:40,440 Speaker 1: if your whole thing is my resolution for the next 554 00:29:40,520 --> 00:29:42,760 Speaker 1: year is I'm going to go to yoga because I 555 00:29:42,800 --> 00:29:46,040 Speaker 1: want to look how Jill looks yoga. But yeah, because 556 00:29:46,040 --> 00:29:49,480 Speaker 1: I want yoga, but like Jill, whoever Chill is, and 557 00:29:49,520 --> 00:29:53,680 Speaker 1: then um clearly has yoga but exactly. But but then 558 00:29:53,680 --> 00:29:55,120 Speaker 1: if you're getting into it, like I want to do 559 00:29:55,200 --> 00:30:01,000 Speaker 1: yoga because I want to cultivate, cultivated, calmer outlook on life, 560 00:30:01,000 --> 00:30:04,160 Speaker 1: where I want to have better flexibility, you know it. 561 00:30:04,480 --> 00:30:06,840 Speaker 1: I guess it comes down to just how you're viewing 562 00:30:06,840 --> 00:30:12,880 Speaker 1: your goals. That's all right, all right, So if you 563 00:30:12,920 --> 00:30:15,520 Speaker 1: would like to chime in, perhaps you have some thoughts 564 00:30:15,560 --> 00:30:19,680 Speaker 1: on the Seven Deadly Sins and holidays, uh, Perhaps you 565 00:30:19,680 --> 00:30:22,680 Speaker 1: have some thoughts on echolocation and bats, this world of 566 00:30:22,720 --> 00:30:25,680 Speaker 1: song that they sing all around them. Perhaps you have 567 00:30:25,800 --> 00:30:28,680 Speaker 1: some thoughts on the Descent movie that I mentioned or 568 00:30:28,760 --> 00:30:31,880 Speaker 1: it's awful sequel. Then you can write into us. You 569 00:30:31,880 --> 00:30:34,240 Speaker 1: can find us on Tumblr and Facebook, where we are 570 00:30:34,240 --> 00:30:36,600 Speaker 1: stuff to blow your mind. And if you find us 571 00:30:36,600 --> 00:30:38,720 Speaker 1: on Twitter, you will find us under the handle blow 572 00:30:38,720 --> 00:30:41,720 Speaker 1: the Mind. And you can also send us an email 573 00:30:41,760 --> 00:30:51,000 Speaker 1: at blow the Mind at Discovery dot com for more 574 00:30:51,040 --> 00:30:53,320 Speaker 1: on this and thousands of other topics. Does it how 575 00:30:53,360 --> 00:30:58,960 Speaker 1: stuff works. Dot com