1 00:00:03,120 --> 00:00:06,000 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:06,000 --> 00:00:13,560 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:13,600 --> 00:00:16,520 Speaker 1: My name is Robert Lamb, and my name is Julie Douglas. Julie, 4 00:00:16,560 --> 00:00:26,040 Speaker 1: what's your favorite non scientific weather forecasting tool one that 5 00:00:26,079 --> 00:00:28,400 Speaker 1: we're going to talk about today? The whole like I 6 00:00:28,520 --> 00:00:31,920 Speaker 1: feel it in my bones? That one's an interesting because 7 00:00:31,920 --> 00:00:34,720 Speaker 1: I do feel it in my bones and particularly my 8 00:00:34,760 --> 00:00:37,680 Speaker 1: knee if there's there's some sort of weather change coming 9 00:00:37,840 --> 00:00:42,280 Speaker 1: you do. So yesterday when that ominous front was rolling 10 00:00:42,360 --> 00:00:46,199 Speaker 1: through Atlanta and we were looking out the windows, were 11 00:00:46,280 --> 00:00:49,600 Speaker 1: you were your knees like buckling? No, my my right knee, 12 00:00:50,080 --> 00:00:52,120 Speaker 1: which is the one that speaks to me. It was 13 00:00:52,159 --> 00:00:54,400 Speaker 1: fine then, But earlier in the week, like the day 14 00:00:54,400 --> 00:00:56,720 Speaker 1: before and the day before that, that's when I felt 15 00:00:56,760 --> 00:00:58,680 Speaker 1: it and I was thinking, oh, well, maybe the thing 16 00:00:58,760 --> 00:01:01,040 Speaker 1: that they always say is true, and that means that 17 00:01:01,160 --> 00:01:03,800 Speaker 1: some sort of weather front is coming in. Is that right? 18 00:01:03,880 --> 00:01:08,120 Speaker 1: Me an old gaming injury. No, it is a dancing injury, 19 00:01:08,160 --> 00:01:12,640 Speaker 1: actually dancing in the field. You know, there's a whole 20 00:01:13,080 --> 00:01:16,360 Speaker 1: you know how it goes. I do. My favorite, my 21 00:01:16,400 --> 00:01:21,240 Speaker 1: current favorite non scientific weather forecasting tool is it has 22 00:01:21,280 --> 00:01:23,000 Speaker 1: to do with the chalk drawings that I do with 23 00:01:23,000 --> 00:01:27,039 Speaker 1: my son in the driveway. The more that accumulate, I know, 24 00:01:27,120 --> 00:01:29,600 Speaker 1: the more likely it is to rain. So once we 25 00:01:29,680 --> 00:01:32,880 Speaker 1: reached the point where we've covered every foreseeable space with 26 00:01:32,920 --> 00:01:35,399 Speaker 1: scribbles and elephants, I know that it's got to be 27 00:01:35,440 --> 00:01:39,800 Speaker 1: about to rain, because it means like two weeks is past. Okay. 28 00:01:39,840 --> 00:01:42,560 Speaker 1: I like that. It is a method. It's a method. 29 00:01:42,600 --> 00:01:45,840 Speaker 1: You know. It's based on observational data in my surrounding environment, 30 00:01:46,080 --> 00:01:48,720 Speaker 1: and I look to it and I make a distinct 31 00:01:48,720 --> 00:01:51,480 Speaker 1: call about what the weather may or may not do. 32 00:01:52,640 --> 00:01:55,400 Speaker 1: And this is one of those things whether that we 33 00:01:55,720 --> 00:01:58,280 Speaker 1: kind of take for granted because we've got the little 34 00:01:58,400 --> 00:02:02,920 Speaker 1: Doppler radar systems in place, we can easily access information 35 00:02:03,080 --> 00:02:06,560 Speaker 1: about the weather whenever we want. But you kind of, 36 00:02:06,760 --> 00:02:09,320 Speaker 1: if you want to think about whether in really big 37 00:02:10,040 --> 00:02:12,919 Speaker 1: terms and even cosmic terms, you have to go all 38 00:02:13,000 --> 00:02:17,240 Speaker 1: the way back to when the atmosphere actually even developed. 39 00:02:17,639 --> 00:02:19,920 Speaker 1: And we won't go, you know, too deep into this, 40 00:02:20,000 --> 00:02:23,280 Speaker 1: but just consider for a second that atmosphere that life 41 00:02:23,280 --> 00:02:29,040 Speaker 1: depends on is created by life itself. So whether you 42 00:02:29,160 --> 00:02:33,040 Speaker 1: have back in the earliest of days when the Earth 43 00:02:33,480 --> 00:02:37,440 Speaker 1: formed really just rudimentary. We're talking about hydrogen and helium 44 00:02:37,560 --> 00:02:41,720 Speaker 1: hanging out on Earth, and not for very long either, 45 00:02:42,000 --> 00:02:45,320 Speaker 1: because hydrogen and helium are fast moving molecules, and at 46 00:02:45,360 --> 00:02:47,960 Speaker 1: that time in Earth's very young history, it was a 47 00:02:48,000 --> 00:02:50,600 Speaker 1: hot planet, and so they sped up even more in 48 00:02:50,639 --> 00:02:54,799 Speaker 1: the escape out into space. But then you have much 49 00:02:54,880 --> 00:03:01,079 Speaker 1: later volcanic activity happening. And with this volcanic activity happening, 50 00:03:01,600 --> 00:03:05,000 Speaker 1: you have steam escaping right from the volcanoes. You have 51 00:03:05,280 --> 00:03:08,200 Speaker 1: H two O, you have carbon dioxide, you have ammonia 52 00:03:08,240 --> 00:03:11,839 Speaker 1: which contains nitrogen, and you begin to see this sort 53 00:03:11,880 --> 00:03:15,720 Speaker 1: of base stock of the atmosphere building up. And then 54 00:03:15,760 --> 00:03:18,560 Speaker 1: a bit later you have the carbon dioxide being absorbed 55 00:03:18,560 --> 00:03:22,880 Speaker 1: by oceans. And this is great because now a bacterium 56 00:03:23,080 --> 00:03:26,880 Speaker 1: comes to comes to be and it gets a lot 57 00:03:26,880 --> 00:03:29,480 Speaker 1: of this energy from the Sun and from the carbon 58 00:03:29,520 --> 00:03:32,320 Speaker 1: dioxide in the oceans, and it's byproduct as a result 59 00:03:32,480 --> 00:03:35,120 Speaker 1: is oxygen, and all of a sudden boom, you have 60 00:03:35,520 --> 00:03:40,480 Speaker 1: the elements for an atmosphere that's right. Currently our atmosphere 61 00:03:40,640 --> 00:03:45,160 Speaker 1: consists of seventy percent nitrogen oxygen. Then you have point 62 00:03:45,240 --> 00:03:50,000 Speaker 1: nine argon point O three carbon dioxide, and the remaining 63 00:03:50,000 --> 00:03:55,640 Speaker 1: point of seven consists of water, vapor, hydrogen, ozone, neon, helium, crypton, 64 00:03:55,760 --> 00:03:58,720 Speaker 1: and xenon. Right. Instead, the more that life developed, the 65 00:03:58,840 --> 00:04:03,520 Speaker 1: more the these molecules were created and came to create 66 00:04:03,600 --> 00:04:07,840 Speaker 1: this envelope, this atmosphere that we live in, and it 67 00:04:07,920 --> 00:04:11,920 Speaker 1: became so supportive that it supported complex life, such as 68 00:04:12,280 --> 00:04:18,160 Speaker 1: say humans that became acutely aware of the tides of wind, 69 00:04:18,440 --> 00:04:21,440 Speaker 1: of the moon and the sun and began to obsess 70 00:04:21,480 --> 00:04:24,120 Speaker 1: about it. Yeah, I mean, indeed, I mean this is 71 00:04:24,160 --> 00:04:27,840 Speaker 1: the movement of our environment. We live in the atmosphere. 72 00:04:28,720 --> 00:04:30,760 Speaker 1: We live on the Earth, but we are we're slaves 73 00:04:30,760 --> 00:04:33,560 Speaker 1: of the atmosphere. And the better we can understand it, 74 00:04:33,600 --> 00:04:36,400 Speaker 1: the better we can predict it all the better. Now, 75 00:04:36,440 --> 00:04:39,000 Speaker 1: how long have we been keeping records of what the 76 00:04:39,040 --> 00:04:41,279 Speaker 1: weather is doing, because obviously we've been obsessing over the 77 00:04:41,279 --> 00:04:43,880 Speaker 1: weather since time out of mind. But when you look 78 00:04:43,960 --> 00:04:47,240 Speaker 1: at observation data, generally you go back to around nine 79 00:04:48,680 --> 00:04:51,760 Speaker 1: UM and because that's when observation stations became more uniform 80 00:04:51,839 --> 00:04:54,240 Speaker 1: in the way that they were collecting the data and 81 00:04:54,279 --> 00:04:57,120 Speaker 1: measuring it. So if you need to start point like 82 00:04:57,160 --> 00:05:00,800 Speaker 1: that's the easiest place to go to, right, But there 83 00:05:00,839 --> 00:05:04,360 Speaker 1: were other systems in place before that, but not as uniform, right, 84 00:05:04,440 --> 00:05:07,440 Speaker 1: not as uniform. For instance, UM the England and Wales 85 00:05:07,839 --> 00:05:11,000 Speaker 1: precipitation series, which measures rainfall and snow, that goes all 86 00:05:11,040 --> 00:05:13,840 Speaker 1: the way back to seventeen sixty six. The Central England 87 00:05:13,880 --> 00:05:17,520 Speaker 1: Temperature series, which covers temperature from the south the Midlands 88 00:05:17,600 --> 00:05:21,440 Speaker 1: to Lancashire, goes back to sixteen fifty nine. But again, 89 00:05:21,720 --> 00:05:28,320 Speaker 1: nineteen that's generally modern UM forecasting start date. Right now. 90 00:05:28,320 --> 00:05:29,760 Speaker 1: A lot of people will point to that date too 91 00:05:29,839 --> 00:05:32,039 Speaker 1: and say, oh, this is when we began to really 92 00:05:32,800 --> 00:05:38,360 Speaker 1: UM record information about hurricanes, and maybe that's why it 93 00:05:38,360 --> 00:05:41,360 Speaker 1: seems like there are more hurricanes lately because we only 94 00:05:41,400 --> 00:05:44,560 Speaker 1: have this limited data set, which may be a possibility. Yeah, 95 00:05:44,560 --> 00:05:46,280 Speaker 1: I mean that's always a concern when you're looking at 96 00:05:46,440 --> 00:05:50,520 Speaker 1: at patterns in our atmosphere and patterns and climate, is 97 00:05:50,560 --> 00:05:53,680 Speaker 1: that the records, the dependable records, only go back so far. 98 00:05:54,920 --> 00:05:58,719 Speaker 1: But again, we have been uh trying to forecast the 99 00:05:58,720 --> 00:06:02,120 Speaker 1: weather since uh our earliest days. It's pretty much one 100 00:06:02,120 --> 00:06:06,400 Speaker 1: of the earliest sciences tackled by any given culture. Because 101 00:06:06,800 --> 00:06:10,400 Speaker 1: you know, as we after the agrarian revolution especially, we 102 00:06:10,480 --> 00:06:13,800 Speaker 1: have crops that need watering life depends on the cycle 103 00:06:13,839 --> 00:06:16,719 Speaker 1: of the rains, the shrink and swell of the local river, 104 00:06:16,880 --> 00:06:20,040 Speaker 1: the coming of the monsoons, UH, the advance of dangerous 105 00:06:20,160 --> 00:06:23,360 Speaker 1: weather patterns UM you know, and again this is particularly 106 00:06:23,360 --> 00:06:27,880 Speaker 1: important for agriculturally bound societies that are depending upon this 107 00:06:28,440 --> 00:06:34,000 Speaker 1: artificially maintained version of vegetation that requires water, that requires 108 00:06:34,279 --> 00:06:36,000 Speaker 1: UH and again, like all of us is as a 109 00:06:36,040 --> 00:06:39,799 Speaker 1: slave to the atmosphere UM. And then as we develop 110 00:06:39,920 --> 00:06:42,640 Speaker 1: the surplus of these items, we start warring with each other. 111 00:06:42,720 --> 00:06:46,240 Speaker 1: So military navigation also becomes key. You need to know 112 00:06:46,279 --> 00:06:48,400 Speaker 1: what the weather is doing because you want to UH, 113 00:06:48,680 --> 00:06:52,320 Speaker 1: you want to game your advantages in trying to attack 114 00:06:52,680 --> 00:06:56,000 Speaker 1: or defend yourself from your adversary. And when you take 115 00:06:56,040 --> 00:06:59,760 Speaker 1: that situation on to the ocean, you have even more 116 00:06:59,760 --> 00:07:03,080 Speaker 1: can turns to deal with. There are several cases in history, 117 00:07:03,120 --> 00:07:05,800 Speaker 1: of course, where see weather has saved a nation from 118 00:07:05,800 --> 00:07:09,479 Speaker 1: an invading army, particularly in the case of the Japanese 119 00:07:09,560 --> 00:07:12,920 Speaker 1: being saved by the divine wind protecting them from Mongol invasion. 120 00:07:13,560 --> 00:07:17,120 Speaker 1: The fate of the Spanish armada headed towards towards England, 121 00:07:17,640 --> 00:07:20,000 Speaker 1: so it becomes important from a military standpoint, to be 122 00:07:20,040 --> 00:07:21,880 Speaker 1: able to tell what the weather is going to do. 123 00:07:21,960 --> 00:07:25,080 Speaker 1: It's important from an agricultural standpoint, and then when you 124 00:07:25,120 --> 00:07:28,720 Speaker 1: get into trade as well on the seas, you need 125 00:07:28,760 --> 00:07:33,000 Speaker 1: to be able to accurately depend on how this uh, 126 00:07:33,040 --> 00:07:35,280 Speaker 1: this this atmosphere is going to behave because on on 127 00:07:35,320 --> 00:07:38,960 Speaker 1: the ocean especially, this is a situation where the weather 128 00:07:39,080 --> 00:07:42,280 Speaker 1: can see you safely to your harbord destination or it 129 00:07:42,280 --> 00:07:45,800 Speaker 1: can just utterly destroy you and your economy in the 130 00:07:45,840 --> 00:07:49,160 Speaker 1: blink of an eye. Right, and before we had accurate 131 00:07:49,400 --> 00:07:52,400 Speaker 1: meteorological instruments to help us with this, to you know, 132 00:07:52,560 --> 00:07:56,600 Speaker 1: to accurately measure temperature, accurately measure pressure in the air, 133 00:07:56,720 --> 00:08:00,560 Speaker 1: and then compare that to our records over time. What 134 00:08:00,640 --> 00:08:03,880 Speaker 1: can you turn to? You turn to uh idioms, You 135 00:08:03,920 --> 00:08:08,720 Speaker 1: turn to time warn lore, um different sayings that are 136 00:08:08,720 --> 00:08:12,760 Speaker 1: based on observational data uh that deal with what the 137 00:08:12,760 --> 00:08:15,280 Speaker 1: weather may be about to do. Yeah, and then on 138 00:08:15,400 --> 00:08:18,800 Speaker 1: top of that you have the cultural layer, right, so 139 00:08:18,840 --> 00:08:21,559 Speaker 1: you have all of the traditions that are bound up 140 00:08:22,000 --> 00:08:25,880 Speaker 1: with weather in the seasons. And so this kind of 141 00:08:26,080 --> 00:08:31,679 Speaker 1: guiding principle of you know, sayings based on observational data 142 00:08:31,960 --> 00:08:36,960 Speaker 1: sometimes take on more of a superstitious quality, and people 143 00:08:37,400 --> 00:08:40,120 Speaker 1: begin to see these as guiding forces. And that's all 144 00:08:40,200 --> 00:08:43,000 Speaker 1: well and good, except that some are actually helpful and 145 00:08:43,120 --> 00:08:45,840 Speaker 1: some are not. So we're going to talk about the 146 00:08:45,880 --> 00:08:50,040 Speaker 1: ones that are actually rooted in in the scientific soundness. 147 00:08:50,080 --> 00:08:53,480 Speaker 1: Indeed examples where they're scientifically grounded at the route and 148 00:08:53,800 --> 00:08:58,400 Speaker 1: the game of cultural telephone has not really lost the 149 00:08:58,440 --> 00:09:01,760 Speaker 1: truth of it over time. All right, So we'll roll 150 00:09:01,840 --> 00:09:05,080 Speaker 1: one out for you. Now. Um, let me get one 151 00:09:05,080 --> 00:09:09,040 Speaker 1: of my best sailor voices. I guess here, red sky 152 00:09:09,160 --> 00:09:13,240 Speaker 1: in the morning sailors take horn and red sky at 153 00:09:13,400 --> 00:09:17,920 Speaker 1: night sailor's delight. There you go. Uh So, of course, 154 00:09:18,120 --> 00:09:21,559 Speaker 1: what we're talking about here is that blood red sky, 155 00:09:21,679 --> 00:09:24,680 Speaker 1: that the kind of fucia and red sky co mingling. 156 00:09:25,640 --> 00:09:29,080 Speaker 1: And what's behind it, Well, you're seeing a scattering of 157 00:09:29,160 --> 00:09:33,079 Speaker 1: sunlight by small particles, but they're they're suspended in dry, 158 00:09:33,320 --> 00:09:36,600 Speaker 1: dusty air. And that's key here because at sunset, these 159 00:09:36,600 --> 00:09:40,680 Speaker 1: conditions imply a zone of dry high pressure between you 160 00:09:41,360 --> 00:09:44,160 Speaker 1: in the sun, and since weather in the mid latitudes 161 00:09:44,280 --> 00:09:47,320 Speaker 1: moves mainly west to east, that means a day of 162 00:09:47,400 --> 00:09:50,480 Speaker 1: clear sailing is on the horizon for the next day. 163 00:09:51,920 --> 00:09:56,559 Speaker 1: But if you witness the same scattering of red wavelength 164 00:09:56,600 --> 00:09:59,960 Speaker 1: near sunrise, it implies that the calm high pressure zone 165 00:10:00,000 --> 00:10:03,000 Speaker 1: and has already passed and that a stormy low pressure 166 00:10:03,040 --> 00:10:06,280 Speaker 1: system could move through soon. So again, take the perspective 167 00:10:06,280 --> 00:10:09,920 Speaker 1: of someone who does not have Doppler radar at their disposal. Um, 168 00:10:09,960 --> 00:10:13,000 Speaker 1: you know, they're hanging out in the sixteen hundreds. They 169 00:10:13,080 --> 00:10:14,880 Speaker 1: need to go out on the boat the next day. 170 00:10:14,880 --> 00:10:18,560 Speaker 1: Their livelihood depends on it. These sort of signs and 171 00:10:18,720 --> 00:10:22,360 Speaker 1: symbols present to you in the sky would become really important, 172 00:10:22,920 --> 00:10:25,120 Speaker 1: but they're not always correct. A lot of this depends 173 00:10:25,160 --> 00:10:28,559 Speaker 1: on where you stand on the earth. Um, okay, because 174 00:10:28,559 --> 00:10:30,920 Speaker 1: this is very true, this sort of red sky in 175 00:10:30,920 --> 00:10:33,520 Speaker 1: the morning. Sailors take warning for those who are in 176 00:10:33,600 --> 00:10:37,160 Speaker 1: the mid latitudes, which include most of North America, Europe, 177 00:10:37,160 --> 00:10:39,839 Speaker 1: and Asia, as well South Africa and the southern halves 178 00:10:39,920 --> 00:10:42,560 Speaker 1: of South American Australia. But if you are in the 179 00:10:42,600 --> 00:10:45,520 Speaker 1: polls or in the tropics, where weather tends to progress 180 00:10:45,559 --> 00:10:50,839 Speaker 1: in the opposite direction, you'd want to reverse the saying. Okay, 181 00:10:51,280 --> 00:10:53,120 Speaker 1: it's no cultural right. You go to one part of 182 00:10:53,120 --> 00:10:57,120 Speaker 1: the world and they have a totally different thing. Yeah, 183 00:10:57,160 --> 00:10:58,959 Speaker 1: and of course that's going to come into play with 184 00:10:59,200 --> 00:11:03,440 Speaker 1: the globe try and sailors obviously. Alright, another one, and 185 00:11:03,520 --> 00:11:06,280 Speaker 1: this is what I had not heard of before. Um 186 00:11:06,320 --> 00:11:08,840 Speaker 1: if a few different versions of it, now haul out 187 00:11:08,880 --> 00:11:12,880 Speaker 1: my sailor voice too. Mackerel sky and Mayor's tale will 188 00:11:12,880 --> 00:11:17,360 Speaker 1: make lofty ships carry low sails. Mackerel in the sky, 189 00:11:17,520 --> 00:11:22,000 Speaker 1: three days dry, mackerel sky, mackerel sky, never long wed 190 00:11:22,080 --> 00:11:26,440 Speaker 1: and never long dry. Now that that I hear that, 191 00:11:26,480 --> 00:11:28,400 Speaker 1: and I have no idea what that even means, right, 192 00:11:28,679 --> 00:11:30,640 Speaker 1: because I don't know what the mackerel sky is, what 193 00:11:30,679 --> 00:11:32,760 Speaker 1: a mayor tail is, And then what does it mean 194 00:11:32,760 --> 00:11:37,040 Speaker 1: that ship carries low sails? You're waiting for Grendel to appear, right, Yeah, 195 00:11:37,200 --> 00:11:39,040 Speaker 1: Like when I first read it, I thought low sails, 196 00:11:39,240 --> 00:11:41,800 Speaker 1: like maybe that means that there's not enough wind filling 197 00:11:41,880 --> 00:11:45,000 Speaker 1: up the sails. But what it's actually saying is if 198 00:11:45,040 --> 00:11:47,760 Speaker 1: you look up in the sky, gentle sailor, and you 199 00:11:47,840 --> 00:11:50,839 Speaker 1: see a fish or a horse tail, Uh, there's a 200 00:11:50,880 --> 00:11:53,760 Speaker 1: storm approaching, and you better lower your sails to protect 201 00:11:53,840 --> 00:11:58,280 Speaker 1: them from the accompanying high winds Okay, which at least 202 00:11:58,280 --> 00:12:01,160 Speaker 1: to the question, what on earth is acral sky? Well, 203 00:12:01,280 --> 00:12:04,840 Speaker 1: mackerel sky known in Germany and France as sheet clouds. 204 00:12:05,600 --> 00:12:08,760 Speaker 1: These are large is a large, spreading assemblage of clouds 205 00:12:08,760 --> 00:12:12,439 Speaker 1: that resemble a series of waves or fish scales, with 206 00:12:12,880 --> 00:12:16,280 Speaker 1: streaks of blue sky peeking out between the puffs. If 207 00:12:16,320 --> 00:12:18,480 Speaker 1: you look at pictures of this that it kind of 208 00:12:18,520 --> 00:12:21,320 Speaker 1: looks marble to a certain extent. And then you have 209 00:12:21,440 --> 00:12:25,160 Speaker 1: Mare's tails, which are long thread like cirrus clouds, often 210 00:12:25,200 --> 00:12:30,880 Speaker 1: stretched by strong high level winds. And when we're looking 211 00:12:30,920 --> 00:12:33,880 Speaker 1: at this, what we're observing, uh, this all consists of 212 00:12:34,360 --> 00:12:38,360 Speaker 1: serial cumulus and alto cumulus clouds, which means there's moisture 213 00:12:38,480 --> 00:12:40,959 Speaker 1: high up in a cold sky at an altitude of 214 00:12:41,000 --> 00:12:44,600 Speaker 1: around eighteen thousand and thirty thousand feet or six thousand 215 00:12:44,640 --> 00:12:48,400 Speaker 1: to ten thousand meters. Uh. Simply put, these are the 216 00:12:48,440 --> 00:12:52,160 Speaker 1: cloud systems that develop prior to a storm. Um. And 217 00:12:52,200 --> 00:12:54,400 Speaker 1: the blue streaks that you see indicate that the clouds 218 00:12:54,400 --> 00:12:57,880 Speaker 1: are breaking up due to instability in the air. So 219 00:12:57,920 --> 00:13:01,080 Speaker 1: why is it correct? Well, again, these are these are 220 00:13:01,080 --> 00:13:03,160 Speaker 1: the cloud systems to developed tend to develop prior to 221 00:13:03,200 --> 00:13:06,440 Speaker 1: a storm. Uh. And both the clues, whether you're talking 222 00:13:06,480 --> 00:13:10,520 Speaker 1: Mackerel's or mayors suggest an impending storm about six to 223 00:13:10,559 --> 00:13:14,560 Speaker 1: eight hours away. If the clouds proceed in approaching warm front, 224 00:13:14,960 --> 00:13:18,280 Speaker 1: they'll thicken and the winds will veer from northwesternly to 225 00:13:18,360 --> 00:13:22,720 Speaker 1: more southwesternly directions. Now, if not, if the clouds mostly 226 00:13:22,760 --> 00:13:26,880 Speaker 1: consist of bigger, darker auto cumulus clouds, then you're likely 227 00:13:26,960 --> 00:13:31,080 Speaker 1: facing better weather in the short term in advance of 228 00:13:31,160 --> 00:13:36,040 Speaker 1: a possible cold front and an associated thunderstorms. So as 229 00:13:36,040 --> 00:13:39,640 Speaker 1: a general rule, the mackerel mayor sky thing holds out, 230 00:13:40,320 --> 00:13:42,960 Speaker 1: but it's kind of up in the air, no pun 231 00:13:42,960 --> 00:13:47,240 Speaker 1: intended um as to whether you're actually talking about strong 232 00:13:47,280 --> 00:13:49,800 Speaker 1: winds coming in or if you're talking about better weather 233 00:13:49,840 --> 00:13:53,360 Speaker 1: in the short term followed by potential thunderstorm. Yeah, and 234 00:13:53,400 --> 00:13:56,960 Speaker 1: again this isn't full proof, but it's the best gus 235 00:13:56,960 --> 00:14:02,640 Speaker 1: based on weather patterns and knowing what happens when conditions change, right, 236 00:14:02,760 --> 00:14:05,400 Speaker 1: And I think people pay attention to these kinds of 237 00:14:05,440 --> 00:14:09,720 Speaker 1: forms today because maybe they're they're cloud porn enthusiasts, but 238 00:14:09,840 --> 00:14:13,440 Speaker 1: really people would again stare at the sky in earnest 239 00:14:13,559 --> 00:14:16,800 Speaker 1: to try to figure out what was going to happen. Yeah, 240 00:14:16,840 --> 00:14:18,640 Speaker 1: you have to stake your life on something when it 241 00:14:18,640 --> 00:14:22,800 Speaker 1: comes to navigation, and this, some simple idiom are saying, 242 00:14:22,920 --> 00:14:26,040 Speaker 1: is ultimately better than nothing. This is all well and good, 243 00:14:26,080 --> 00:14:28,760 Speaker 1: but tell me, Julie about my knee. What is going 244 00:14:28,800 --> 00:14:31,640 Speaker 1: on with my knee? And it speaks to me, well, yeah, 245 00:14:31,640 --> 00:14:35,480 Speaker 1: I gotta say you're You're not alone obviously in feeling 246 00:14:35,560 --> 00:14:39,440 Speaker 1: this way. And in fact, Hippocrates, the father of Western medicine, 247 00:14:39,920 --> 00:14:45,080 Speaker 1: noticed that certain illnesses seem to worsen under particular weather conditions. 248 00:14:45,120 --> 00:14:48,120 Speaker 1: And you've probably heard people say it, you know, time 249 00:14:48,200 --> 00:14:49,920 Speaker 1: over time, like I can feel it, I can finish 250 00:14:50,000 --> 00:14:54,360 Speaker 1: weather coming. And according to Dr Aditya. Matto, writing for 251 00:14:54,520 --> 00:14:57,960 Speaker 1: n y U longown online Journal of Medicine, quote surveys 252 00:14:58,000 --> 00:15:01,360 Speaker 1: have demonstrated the upwards of any percent of patients believe 253 00:15:01,440 --> 00:15:04,320 Speaker 1: that weather plays a role in their arthritic pain. The 254 00:15:04,520 --> 00:15:09,119 Speaker 1: question is whether or not this is, in fact, uh 255 00:15:09,200 --> 00:15:12,320 Speaker 1: an actual thing. And I will say that the jury 256 00:15:12,680 --> 00:15:15,560 Speaker 1: is a bit out on this, okay, But you can 257 00:15:15,600 --> 00:15:19,160 Speaker 1: look at a two thousand and seven study by Mcallendon 258 00:15:19,360 --> 00:15:22,440 Speaker 1: at all. It's a multi site study which followed two 259 00:15:22,520 --> 00:15:26,440 Speaker 1: hundred patients with knee osteoarthritis over different times of the 260 00:15:26,520 --> 00:15:31,760 Speaker 1: year and used a well validated paining questionnaire. Called WOMAC 261 00:15:32,040 --> 00:15:35,280 Speaker 1: and data from the U, S, O, A, A, and 262 00:15:35,680 --> 00:15:39,280 Speaker 1: UH compared knee paying with different atmospheric conditions throughout the 263 00:15:39,280 --> 00:15:44,040 Speaker 1: continental US. What they found was statistically significant positive correlations. 264 00:15:45,040 --> 00:15:48,800 Speaker 1: Now why would this be. It's because your body is 265 00:15:48,920 --> 00:15:52,840 Speaker 1: responding to atmospheric pressure. You don't think about it, right, 266 00:15:52,880 --> 00:15:56,000 Speaker 1: because you don't necessarily feel it, But your bodily fluids 267 00:15:56,400 --> 00:15:59,360 Speaker 1: are trying to exist in a constant state of balance 268 00:15:59,400 --> 00:16:03,440 Speaker 1: with ambient air pressure. So as the barometer falls, as 269 00:16:03,600 --> 00:16:06,880 Speaker 1: with what happens with an approaching storm, your tissues can 270 00:16:06,880 --> 00:16:10,000 Speaker 1: swell in response, and that can irritate nerve endings and 271 00:16:10,120 --> 00:16:13,160 Speaker 1: cause your pain level to wratch it up a bit. Okay, 272 00:16:13,600 --> 00:16:16,960 Speaker 1: problem here is that that swelling happens on such a 273 00:16:17,000 --> 00:16:20,600 Speaker 1: small scale that it's it's difficult to objectively detect and 274 00:16:20,720 --> 00:16:24,000 Speaker 1: measure it. So researchers have to rely on people's subjective 275 00:16:24,040 --> 00:16:26,840 Speaker 1: accounts of pain, which, as we know, vary and they're 276 00:16:26,840 --> 00:16:30,720 Speaker 1: not always reliable. And there's also the psychological factor of priming. Right, 277 00:16:30,760 --> 00:16:34,360 Speaker 1: So you see approaching storm, maybe you start to feel achy. 278 00:16:34,560 --> 00:16:36,720 Speaker 1: Maybe you're paying just a little more attention to that 279 00:16:37,080 --> 00:16:40,560 Speaker 1: ever present condition, right, right, So that's not to say 280 00:16:40,600 --> 00:16:44,240 Speaker 1: there's not something there, it's just the jury is truly 281 00:16:44,320 --> 00:16:47,200 Speaker 1: still out on that. However, those who suffer from migraines 282 00:16:47,440 --> 00:16:50,600 Speaker 1: may have a level of sensitivity to their environment that 283 00:16:50,680 --> 00:16:53,560 Speaker 1: gives them a leg up on predicting the weather. And 284 00:16:53,560 --> 00:16:57,440 Speaker 1: according to Dr Caroline Bernstein, who is the clinical director 285 00:16:57,480 --> 00:17:01,520 Speaker 1: of the Harvard Medical Faculty Physicians comprehens of Headache Center, quote, 286 00:17:01,800 --> 00:17:05,080 Speaker 1: it maybe that people who get migraines are very susceptible 287 00:17:05,200 --> 00:17:09,919 Speaker 1: to any fluctuation, whether it's a weather change, foods, sleep, 288 00:17:10,080 --> 00:17:12,880 Speaker 1: or stress. Okay, well, I will keep that in mind 289 00:17:13,040 --> 00:17:16,280 Speaker 1: the next time I feel my knee talking to me. Yeah, 290 00:17:16,320 --> 00:17:20,159 Speaker 1: just see if your head hurts. Alright. That brings us 291 00:17:20,160 --> 00:17:22,960 Speaker 1: to our next one. This one is cold as the 292 00:17:23,119 --> 00:17:27,879 Speaker 1: Night when the stars shine bright, also known as clear 293 00:17:27,960 --> 00:17:32,720 Speaker 1: moon frost soon. So what is this one? That's basically 294 00:17:32,800 --> 00:17:35,440 Speaker 1: things basically saying, hey, if you have a clear sky, 295 00:17:35,480 --> 00:17:37,800 Speaker 1: it's going to be a cold or night, right, pretty 296 00:17:37,800 --> 00:17:40,840 Speaker 1: straightforward And and really the explanation of this one is 297 00:17:40,840 --> 00:17:45,359 Speaker 1: pretty straightforward too. So it gets into the basic realities 298 00:17:45,359 --> 00:17:48,439 Speaker 1: of how the sun heats our world. The Sun emits 299 00:17:48,480 --> 00:17:51,359 Speaker 1: a vast amount of energy travels across space in the 300 00:17:51,400 --> 00:17:54,800 Speaker 1: form of short wave radiation, and only a tiny portion 301 00:17:54,920 --> 00:17:58,800 Speaker 1: of this power actually reaches the surface. Um Most of 302 00:17:58,800 --> 00:18:02,600 Speaker 1: the atmosphere, fear is directly heated by solar radiation, but 303 00:18:02,760 --> 00:18:06,920 Speaker 1: rather by the terrestrial radiation that the planet itself emits. 304 00:18:07,600 --> 00:18:12,040 Speaker 1: So during the day, the Sun's shortwave radiation is absorbed 305 00:18:12,040 --> 00:18:15,119 Speaker 1: by the Earth and converted into heat. The examples I 306 00:18:15,119 --> 00:18:18,119 Speaker 1: often go back to when explaining this are, Okay, you 307 00:18:18,119 --> 00:18:20,440 Speaker 1: have a fried egg and you're gonna cook it on 308 00:18:20,480 --> 00:18:23,000 Speaker 1: a sidewalk in New York because you need some sort 309 00:18:23,000 --> 00:18:24,760 Speaker 1: of visible display of how hot it is for the 310 00:18:24,760 --> 00:18:28,400 Speaker 1: local news. Well, it's the heat emitted by the pavement 311 00:18:28,480 --> 00:18:32,840 Speaker 1: that's doing the frying, not the sun above. And that's 312 00:18:32,880 --> 00:18:37,199 Speaker 1: basically the reality of heat on our world. Also, you 313 00:18:37,200 --> 00:18:40,400 Speaker 1: have a mountain climber. They're climbing up a mountain they're 314 00:18:40,400 --> 00:18:45,760 Speaker 1: in encountering increasingly colder conditions as they ascend, despite effectively 315 00:18:45,880 --> 00:18:49,840 Speaker 1: moving closer to the sun. Okay, so when the sun sets, 316 00:18:50,040 --> 00:18:53,840 Speaker 1: the planet begins radiating this heat at various rates depending 317 00:18:53,880 --> 00:18:57,359 Speaker 1: on the materials involved, and lacking clouds to capture that 318 00:18:57,400 --> 00:19:00,480 Speaker 1: heat and hold it in place, the surface and atmosphere 319 00:19:00,480 --> 00:19:06,199 Speaker 1: grow increasingly colder through radiative heat loss. So essentially, again, 320 00:19:06,440 --> 00:19:09,679 Speaker 1: solar energy coming down hitting the Earth, it's emitted as 321 00:19:09,720 --> 00:19:12,520 Speaker 1: terrestrial radiation, and if there aren't clouds up there to 322 00:19:12,600 --> 00:19:14,560 Speaker 1: keep it and contain it, it just goes off into 323 00:19:14,560 --> 00:19:17,120 Speaker 1: space again. So yes, indeed, if you have a night 324 00:19:17,400 --> 00:19:19,760 Speaker 1: with no cloud cover, it is going to be colder 325 00:19:19,800 --> 00:19:22,080 Speaker 1: because you're going to have more heat loss. That makes 326 00:19:22,119 --> 00:19:24,200 Speaker 1: sense because the clouds are kind of like a blanket 327 00:19:24,200 --> 00:19:27,080 Speaker 1: on the night exactly. Yeah, it's like sleeping without your blanket. 328 00:19:27,280 --> 00:19:30,640 Speaker 1: You're gonna wake up a little chili without your blank eyes. 329 00:19:31,000 --> 00:19:33,400 Speaker 1: All right. The next one doesn't have a neat little 330 00:19:33,440 --> 00:19:37,520 Speaker 1: rhyme to it, So attempt something crickets a bit chirpen. 331 00:19:38,080 --> 00:19:43,480 Speaker 1: The sun must be bourbon, Okay, I like it an Yeah, 332 00:19:43,640 --> 00:19:47,440 Speaker 1: so crickets. It turns out chirp faster and warmer conditions, 333 00:19:47,680 --> 00:19:52,800 Speaker 1: and more slowly as the air turns more frigid. And 334 00:19:52,960 --> 00:19:56,280 Speaker 1: this is particularly true in the species of campus full 335 00:19:56,320 --> 00:20:01,160 Speaker 1: tony and uh you probably have you know you grew 336 00:20:01,240 --> 00:20:03,399 Speaker 1: up in a rural area right as a youngster, as 337 00:20:03,480 --> 00:20:06,440 Speaker 1: did I. And that's one of those features of nighttime, 338 00:20:06,560 --> 00:20:10,120 Speaker 1: especially a summer. You hear that chirping, And it's kind 339 00:20:10,119 --> 00:20:13,200 Speaker 1: of amazing to me that this isn't something that I 340 00:20:13,280 --> 00:20:15,960 Speaker 1: knew as folklore. Yeah, me neither. Despite just yeah that 341 00:20:16,080 --> 00:20:19,359 Speaker 1: that cacophony of insect noises that you deal with growing 342 00:20:19,440 --> 00:20:22,760 Speaker 1: up in a rural environment. So you're probably wondering, how 343 00:20:22,800 --> 00:20:26,199 Speaker 1: can I calculate this air pressure because that's actually what 344 00:20:26,240 --> 00:20:31,359 Speaker 1: they're reflecting here. Well, there's edition of the American Naturalists 345 00:20:31,400 --> 00:20:37,120 Speaker 1: by A Dolbear who created this formula T equals fifty 346 00:20:37,240 --> 00:20:42,080 Speaker 1: plus n minus four divided by four, where t equals 347 00:20:42,080 --> 00:20:46,680 Speaker 1: temperature f and n equals chirp rate per minute. And 348 00:20:46,880 --> 00:20:49,840 Speaker 1: thankfully we have the Old Farmer's Almanac to help us 349 00:20:50,040 --> 00:20:55,639 Speaker 1: convert cricket chirps to degrees fahrenheit by counting the number 350 00:20:55,720 --> 00:21:00,240 Speaker 1: of chirps in fourteen seconds and then adding fort to 351 00:21:00,280 --> 00:21:02,920 Speaker 1: get the temperature. Okay, that sounds a bit easier, right, 352 00:21:03,560 --> 00:21:09,880 Speaker 1: So example, thirty chirps plus forty equals seventy degrees. So 353 00:21:10,119 --> 00:21:13,399 Speaker 1: why is this important? Well, because listening eve's dropping on 354 00:21:13,440 --> 00:21:16,199 Speaker 1: the mating calls of crickets can actually give you an 355 00:21:16,200 --> 00:21:18,480 Speaker 1: idea whether or not a warm front is coming or 356 00:21:18,520 --> 00:21:22,840 Speaker 1: a cold fronts coming. But I gotta tell you it 357 00:21:22,840 --> 00:21:26,200 Speaker 1: has its limitations because it's only accurate down to fifty 358 00:21:26,240 --> 00:21:30,560 Speaker 1: five degrees fahrenheit. Uh. Any lower than that than the 359 00:21:30,560 --> 00:21:38,560 Speaker 1: crickets take off, they're not really interested in hanging out me. Yeah. Well, 360 00:21:38,600 --> 00:21:42,679 Speaker 1: you mentioned the Farmer's Almanac there, and and I have 361 00:21:42,840 --> 00:21:45,080 Speaker 1: I have to ask, like, what is the deal with 362 00:21:45,119 --> 00:21:47,800 Speaker 1: the farm Farmers Alminate? Because it's one of those books 363 00:21:47,880 --> 00:21:50,480 Speaker 1: that has always been in the background in my life. 364 00:21:50,600 --> 00:21:53,280 Speaker 1: I think my grandfather had would have a copy setting around, 365 00:21:53,320 --> 00:21:55,200 Speaker 1: and I may have like lead through it once or 366 00:21:55,240 --> 00:21:57,720 Speaker 1: twice as a kid. And you see it, you know, 367 00:21:57,720 --> 00:21:59,679 Speaker 1: pretty much in any bookstore you go to, that will 368 00:21:59,720 --> 00:22:03,040 Speaker 1: be Armer's Almanac there. And I really have no idea 369 00:22:03,040 --> 00:22:04,879 Speaker 1: exactly what to do. I just always assumed it was 370 00:22:04,920 --> 00:22:07,159 Speaker 1: just a whole bunch of old wives tales and a 371 00:22:07,200 --> 00:22:10,000 Speaker 1: little you know, idioms and sayings about the weather. Look 372 00:22:10,000 --> 00:22:12,199 Speaker 1: at the size of a wooly caterpillar to tell what 373 00:22:12,280 --> 00:22:13,880 Speaker 1: the rain is going to do, that sort of thing. 374 00:22:14,200 --> 00:22:16,640 Speaker 1: And I've never really paid it much attention beyond that. Yeah, 375 00:22:16,680 --> 00:22:19,199 Speaker 1: I remember when I was a little it was usually 376 00:22:19,200 --> 00:22:21,880 Speaker 1: a fixture in my relatives bathrooms. Right, it was good 377 00:22:21,920 --> 00:22:26,040 Speaker 1: bathroom reading, and it turns out that there are two 378 00:22:26,119 --> 00:22:31,639 Speaker 1: different farmers almanacs. Okay, they're competing. There's the Farmers Almanac 379 00:22:31,760 --> 00:22:35,240 Speaker 1: and the Old Farmers Almanac, founded in eighteen twelve and 380 00:22:35,359 --> 00:22:39,600 Speaker 1: seventeen ninety two, respectively, and they both rely on proprietary 381 00:22:40,080 --> 00:22:44,440 Speaker 1: formulas for their weather prognostications and how stuff works. Actually 382 00:22:44,440 --> 00:22:47,080 Speaker 1: has an article on this. Kate Kirshner wrote it, and 383 00:22:47,160 --> 00:22:51,000 Speaker 1: she says, quote, the Farmer's Almanac uses mathematical and astronomical 384 00:22:51,119 --> 00:22:56,240 Speaker 1: formulas which are passed along from one anonymous prognosticator to another, 385 00:22:57,440 --> 00:23:00,679 Speaker 1: and this almanac formula is really just entrusted to what 386 00:23:00,720 --> 00:23:04,600 Speaker 1: they say is one living being, a being, not not 387 00:23:04,880 --> 00:23:08,439 Speaker 1: not a person, not a human, but a being. Yeah, okay, 388 00:23:08,720 --> 00:23:10,159 Speaker 1: well that makes me think it might just be like 389 00:23:10,200 --> 00:23:15,520 Speaker 1: a centaur or something. Right. Wouldn't that be wonderful if 390 00:23:15,600 --> 00:23:18,960 Speaker 1: it is a centaur and it is a living being? Right? Whatever? 391 00:23:19,000 --> 00:23:24,240 Speaker 1: This living being is, this weather forecaster since the publication's 392 00:23:24,280 --> 00:23:30,080 Speaker 1: inception has gone by the pseudonym Caleb weather Be And uh, 393 00:23:30,280 --> 00:23:34,199 Speaker 1: they keep pretty mum about Caleb about who he or 394 00:23:34,280 --> 00:23:37,600 Speaker 1: she is. They just confirmed that this person exists. That's 395 00:23:37,600 --> 00:23:40,439 Speaker 1: the only thing they'll confirm. Now, the Old Farmer's Almanac 396 00:23:40,680 --> 00:23:43,560 Speaker 1: relies on a theory that weather is a result of 397 00:23:43,640 --> 00:23:46,159 Speaker 1: magnetic storms on the sun surface, and the forecast a 398 00:23:46,240 --> 00:23:50,480 Speaker 1: predicted based on a formula that is locked away in 399 00:23:50,560 --> 00:23:55,199 Speaker 1: a black box at the headquarters. Wow, let's see, I 400 00:23:55,200 --> 00:23:58,199 Speaker 1: had no idea it was this kind of secrety and 401 00:23:58,240 --> 00:24:02,080 Speaker 1: could right. It feels masonic, right it does. Um. Now, 402 00:24:02,240 --> 00:24:06,119 Speaker 1: both of the publications claim in accuracy rate when it 403 00:24:06,160 --> 00:24:10,480 Speaker 1: comes to weather, but independent verifications looking at you know, 404 00:24:10,600 --> 00:24:15,280 Speaker 1: years of data, say it's more like a coin toss about. Okay. 405 00:24:15,480 --> 00:24:19,320 Speaker 1: So they each have their own systems based in whatever 406 00:24:19,359 --> 00:24:23,000 Speaker 1: is happening on the sun or some sort of secret methodology, 407 00:24:23,240 --> 00:24:25,640 Speaker 1: and it just kind of lines up with what's actually 408 00:24:25,720 --> 00:24:29,240 Speaker 1: happening to a degree that you can roll with. That's 409 00:24:29,240 --> 00:24:32,760 Speaker 1: the idea, right, like you can there's fifty chance that 410 00:24:32,840 --> 00:24:38,679 Speaker 1: their year out from now, um forecast is going to 411 00:24:38,720 --> 00:24:41,359 Speaker 1: be correct. Plus like you'll get some sort of tip 412 00:24:41,400 --> 00:24:45,119 Speaker 1: about how to remove you know, butterbean stains or something. Okay, Yeah, 413 00:24:45,440 --> 00:24:47,920 Speaker 1: you don't get that from your just iPhone weather app, 414 00:24:47,960 --> 00:24:50,639 Speaker 1: you know, now you don't useful data. Siri will not 415 00:24:50,720 --> 00:24:53,520 Speaker 1: tell you that information, all right, So there you have 416 00:24:53,560 --> 00:24:56,520 Speaker 1: it just a little inside in the world of weather superstition, 417 00:24:56,600 --> 00:24:59,840 Speaker 1: and how in some cases it does line up with 418 00:25:00,080 --> 00:25:04,479 Speaker 1: what's actually going on in this complex chaotic system of 419 00:25:04,520 --> 00:25:08,000 Speaker 1: the atmosphere. Um and I know, you know, let's let's 420 00:25:08,000 --> 00:25:10,040 Speaker 1: call over the robot and have just a little bit 421 00:25:10,040 --> 00:25:17,160 Speaker 1: of listener mail. We got this from Betsy Lange, and 422 00:25:17,560 --> 00:25:19,560 Speaker 1: she starts out by saying, I had a paradigm shift 423 00:25:19,560 --> 00:25:21,720 Speaker 1: two years ago while listening to stuff to play her mind, 424 00:25:22,080 --> 00:25:25,520 Speaker 1: a marathon of it at a rainy campground near Barcelona. 425 00:25:26,040 --> 00:25:29,600 Speaker 1: My master's thesis was on endocrine disruptors, and I cowered 426 00:25:29,640 --> 00:25:32,280 Speaker 1: in fear of all the things plastic, even fearing the 427 00:25:32,280 --> 00:25:34,960 Speaker 1: future of science and society. Your podcast, the first I 428 00:25:34,960 --> 00:25:37,320 Speaker 1: ever listened to and still my favorite, woke me up 429 00:25:37,359 --> 00:25:40,280 Speaker 1: and reminded me of the wonder and science, transforming me 430 00:25:40,359 --> 00:25:43,600 Speaker 1: back into the optimists slash futurists that I forgot I 431 00:25:43,640 --> 00:25:47,640 Speaker 1: was during those years of wiping butts. Just in parentheses, 432 00:25:47,680 --> 00:25:51,360 Speaker 1: I was at home parent for six years, she says. 433 00:25:51,359 --> 00:25:53,359 Speaker 1: I'm writing to you because you've inspired me along with 434 00:25:53,400 --> 00:25:55,520 Speaker 1: so many others, and I'm in the process of creating 435 00:25:55,560 --> 00:25:58,560 Speaker 1: a related but very different audio program that I hope 436 00:25:58,640 --> 00:26:01,080 Speaker 1: you and or some of your listens can get involved 437 00:26:01,119 --> 00:26:04,400 Speaker 1: in my production is called Stamma Gora and it will 438 00:26:04,520 --> 00:26:06,679 Speaker 1: use the voices of people around the world to have 439 00:26:06,800 --> 00:26:11,200 Speaker 1: a conversation about science and math topics. Contributors can submit 440 00:26:11,359 --> 00:26:16,840 Speaker 1: short audio files on topics that intrigue them, interviews, monologues, debates, presentations, 441 00:26:17,359 --> 00:26:21,680 Speaker 1: musical composition, and she said they don't need professional equipment. 442 00:26:22,080 --> 00:26:25,400 Speaker 1: She said she wants more of a grassroots sound. So 443 00:26:25,560 --> 00:26:28,080 Speaker 1: the first phase of this project is underway and a 444 00:26:28,119 --> 00:26:31,040 Speaker 1: few guys are interested in it. Make sure you go 445 00:26:31,200 --> 00:26:36,159 Speaker 1: to ww dot quilla dot info that's q U I 446 00:26:36,680 --> 00:26:42,440 Speaker 1: l l A dot info because she is accepting audio 447 00:26:42,640 --> 00:26:47,119 Speaker 1: entries until June UM. So if you guys are interested 448 00:26:47,160 --> 00:26:49,280 Speaker 1: in that looks like a really cool project, do check 449 00:26:49,280 --> 00:26:53,680 Speaker 1: it out. Indeed, that sounds really fascinating. In the meantime, 450 00:26:53,880 --> 00:26:55,919 Speaker 1: if you want to check out more of what we 451 00:26:56,000 --> 00:26:57,800 Speaker 1: do here, head on over to stuff to Blow your 452 00:26:57,800 --> 00:26:59,760 Speaker 1: Mind dot com. That's where you'll find all of our 453 00:27:00,080 --> 00:27:03,160 Speaker 1: guest episodes, videos, blog post links out to social media 454 00:27:03,160 --> 00:27:05,639 Speaker 1: accounts you name it, and hete for. On the landing 455 00:27:05,680 --> 00:27:08,160 Speaker 1: page for this episode, we'll make sure we include some 456 00:27:08,800 --> 00:27:11,920 Speaker 1: links to some related contents, such as that Farmers Albanach 457 00:27:12,640 --> 00:27:14,840 Speaker 1: article on how stuff works, as well as an article 458 00:27:14,880 --> 00:27:18,600 Speaker 1: on whether from how stuff works dot com. And if 459 00:27:18,640 --> 00:27:21,840 Speaker 1: you have some thoughts about these superstitions, if you get 460 00:27:21,840 --> 00:27:24,600 Speaker 1: a little wrestling in your bonnes when it starts to 461 00:27:24,680 --> 00:27:26,840 Speaker 1: rain out, let us know. You can drop us a 462 00:27:26,880 --> 00:27:30,159 Speaker 1: line by emailing us below the mind at how stuff 463 00:27:30,160 --> 00:27:35,000 Speaker 1: works dot com. For more on this and thousands of 464 00:27:35,000 --> 00:27:43,200 Speaker 1: other topics, is it how stuff works dot com