1 00:00:03,040 --> 00:00:05,920 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:05,960 --> 00:00:14,080 Speaker 1: Works dot com. Hey, welcome to stuff Blow your Mind. 3 00:00:14,080 --> 00:00:16,520 Speaker 1: My name is Robert Lamps, and I'm Julie Douglas. Julie, 4 00:00:16,560 --> 00:00:19,520 Speaker 1: what crosses your mind when you look at a snowy landscape? 5 00:00:20,000 --> 00:00:23,080 Speaker 1: You know, whether we're talking an actual in person visit 6 00:00:23,520 --> 00:00:25,759 Speaker 1: to a winter wonderland or you just looking at say 7 00:00:25,760 --> 00:00:28,639 Speaker 1: an old Peter Brugle painting of a of a snow 8 00:00:28,680 --> 00:00:33,000 Speaker 1: colored medieval landscape. Oh, an old Pete medieval landscape. Um, 9 00:00:33,040 --> 00:00:35,640 Speaker 1: I think just obviously about the season. I don't think 10 00:00:35,640 --> 00:00:39,000 Speaker 1: about the collective power of the ice crystals within. I 11 00:00:39,120 --> 00:00:42,520 Speaker 1: just look at the the effect of the collective and 12 00:00:42,560 --> 00:00:45,199 Speaker 1: how beautiful it is. Yeah, the most you're probably gonna say, 13 00:00:45,200 --> 00:00:46,879 Speaker 1: look at all that snow. You're not gonna say, look 14 00:00:46,880 --> 00:00:50,239 Speaker 1: at those snow flakes. Imagine how many there are. Imagine 15 00:00:50,240 --> 00:00:55,000 Speaker 1: how many little bits of crystallized water have contributed to this, uh, 16 00:00:55,080 --> 00:00:57,800 Speaker 1: this overall picture before us. Yeah, particularly if you're in 17 00:00:57,840 --> 00:00:59,320 Speaker 1: the Midwest right now and you're getting a bunch of 18 00:00:59,360 --> 00:01:01,320 Speaker 1: snow dumped on you and you have to shovel all that, 19 00:01:01,400 --> 00:01:04,759 Speaker 1: you're probably not thinking about the majesty of these tiny 20 00:01:04,840 --> 00:01:09,160 Speaker 1: little geometric crystal kingdoms within. Yeah, you're not celebrating the snowflake. 21 00:01:09,319 --> 00:01:12,520 Speaker 1: I feel like, yeah, here here in the South. I've 22 00:01:12,520 --> 00:01:15,080 Speaker 1: always lived in places where there's snow, but definitely in 23 00:01:15,160 --> 00:01:17,000 Speaker 1: the South and like Tennessee and Georgia, I've lived in 24 00:01:17,000 --> 00:01:19,160 Speaker 1: places where the snow is rare enough to where you 25 00:01:19,200 --> 00:01:22,280 Speaker 1: can get excited about it when it's not there and 26 00:01:22,600 --> 00:01:25,280 Speaker 1: also make little cardboard snowflakes that end up going on 27 00:01:25,319 --> 00:01:28,080 Speaker 1: the you know, the kindergarten wall. Yeah, I mean it's 28 00:01:28,120 --> 00:01:31,000 Speaker 1: something you're right in the South. It's like, you know, 29 00:01:31,160 --> 00:01:34,840 Speaker 1: whenever snowflake comes tumbling down from the sky. But we're 30 00:01:34,840 --> 00:01:38,120 Speaker 1: going to take this sort of powers of ten approach today. 31 00:01:38,160 --> 00:01:41,120 Speaker 1: We're gonna try to get um from the macro to 32 00:01:41,160 --> 00:01:44,920 Speaker 1: the micro and really get into snowflakes and whether or 33 00:01:44,959 --> 00:01:48,480 Speaker 1: not they are unique each snowflake, Is it unique? And 34 00:01:48,720 --> 00:01:53,120 Speaker 1: what if anything it has to do with ripparologists and 35 00:01:53,160 --> 00:01:55,080 Speaker 1: all sorts of other things. All Right, so it begs 36 00:01:55,080 --> 00:01:58,200 Speaker 1: a question what is a snowflake? Again, It's easy to 37 00:01:58,200 --> 00:01:59,920 Speaker 1: take it for granted, to forget there there or did 38 00:02:00,160 --> 00:02:02,440 Speaker 1: not think about them at all. It's just this funny, 39 00:02:02,480 --> 00:02:05,160 Speaker 1: little beautiful shape that falls from the sky and it's 40 00:02:05,160 --> 00:02:06,760 Speaker 1: made out of ice, and it piles up and forms 41 00:02:06,800 --> 00:02:10,320 Speaker 1: a lot of snow. But but but when you stop 42 00:02:10,360 --> 00:02:12,959 Speaker 1: and ask yourself, how does it form, Well, it's a 43 00:02:12,960 --> 00:02:15,600 Speaker 1: little more complicated. Then it all begins with a little 44 00:02:15,639 --> 00:02:18,680 Speaker 1: tiny speck of dust. Yeah, this is a possible hexagon 45 00:02:18,800 --> 00:02:21,839 Speaker 1: based scenario. I mean, first, you have to have temperatures 46 00:02:21,880 --> 00:02:25,160 Speaker 1: at thirty two degrees fahrenheit or lower in a cloud 47 00:02:25,720 --> 00:02:30,120 Speaker 1: for water vapor to attach to that little dust grain. Yeah. 48 00:02:30,200 --> 00:02:32,920 Speaker 1: That's also known as a condensation nuclei because this is 49 00:02:32,960 --> 00:02:35,400 Speaker 1: going to form the heart of everything that grows out 50 00:02:35,400 --> 00:02:38,320 Speaker 1: from it, Yeah, which then crystallizes into ice. And once 51 00:02:38,360 --> 00:02:41,639 Speaker 1: it does this, a prism forms with six faces and 52 00:02:41,720 --> 00:02:43,760 Speaker 1: a top in the bottom. And if you guys can 53 00:02:43,800 --> 00:02:46,320 Speaker 1: sort of imagine all that in your brain, You've got 54 00:02:46,320 --> 00:02:50,079 Speaker 1: the top and the bottom and each has a side, 55 00:02:50,280 --> 00:02:53,959 Speaker 1: six sides right, and a cavity forms in each prism 56 00:02:53,960 --> 00:02:57,320 Speaker 1: face where ice grows fastest, and then six branches sprout, 57 00:02:57,480 --> 00:03:00,919 Speaker 1: forming that hexagon. Now, where it's going to go from 58 00:03:00,919 --> 00:03:05,400 Speaker 1: there depends again on the conditions in that cloud, because 59 00:03:05,440 --> 00:03:08,360 Speaker 1: the vapor content is really important in terms of how 60 00:03:08,520 --> 00:03:13,239 Speaker 1: that snowflake might grow. In size, in shape, and also 61 00:03:13,320 --> 00:03:15,399 Speaker 1: again the climate. So if it if you know, things 62 00:03:15,440 --> 00:03:18,800 Speaker 1: get warm, then you get a different shape from that 63 00:03:18,880 --> 00:03:21,720 Speaker 1: ice crystal. But if things freeze up, like say high 64 00:03:21,760 --> 00:03:24,800 Speaker 1: altitude sears cloud might produce, then you get that doily 65 00:03:24,880 --> 00:03:28,920 Speaker 1: effect that really intricate beautiful snowflake falling down. Yeah, I 66 00:03:28,919 --> 00:03:30,440 Speaker 1: was reading about when they when they fall through the 67 00:03:30,440 --> 00:03:33,400 Speaker 1: warmer air, their slower growth. But there's a there's a 68 00:03:33,480 --> 00:03:36,520 Speaker 1: there's widening that occurs. So and as we've discussed before, 69 00:03:36,520 --> 00:03:39,160 Speaker 1: I mean, you can even have red snow in some cases, 70 00:03:39,400 --> 00:03:42,160 Speaker 1: this blood snow that is that has been seen to 71 00:03:42,200 --> 00:03:45,120 Speaker 1: fall uh in various places throughout history. The idea being 72 00:03:45,120 --> 00:03:46,680 Speaker 1: here that little speck of dust at the center of 73 00:03:46,720 --> 00:03:49,520 Speaker 1: it all is red in color and therefore dictate the 74 00:03:49,560 --> 00:03:53,640 Speaker 1: overall color of the snow. That would be just wonderful 75 00:03:53,680 --> 00:03:56,360 Speaker 1: to have, like red snowflakes, wouldn't it be terrifying? But 76 00:03:56,800 --> 00:04:04,040 Speaker 1: red Christmas? Yeah, I'm dreaming bloody Christmas. All right. So 77 00:04:04,200 --> 00:04:08,120 Speaker 1: here's the thing. A tiny snowflake could actually affect the climate. 78 00:04:08,160 --> 00:04:11,440 Speaker 1: Not on a huge scale here, but Hands Berlin, Associate 79 00:04:11,480 --> 00:04:15,360 Speaker 1: Professor of Meteeralogy at Penn State, says that quote serious 80 00:04:15,360 --> 00:04:18,040 Speaker 1: clouds are known to play a large role in energy 81 00:04:18,080 --> 00:04:23,080 Speaker 1: budget enhanced climate. The molecular level processes determine the shape 82 00:04:23,080 --> 00:04:26,599 Speaker 1: of the ice crystals, which then determine the characteristics of 83 00:04:26,640 --> 00:04:31,400 Speaker 1: the clouds themselves, which control the radiative properties of clouds 84 00:04:31,400 --> 00:04:34,720 Speaker 1: and the role of serrus in climate. Yeah, I mean, 85 00:04:34,720 --> 00:04:36,240 Speaker 1: it's the And these guys should know. They have an 86 00:04:36,279 --> 00:04:39,320 Speaker 1: awesome job. They're snowflake designers. They use the Penn State 87 00:04:39,360 --> 00:04:43,000 Speaker 1: cloud chamber to to explore ice crystal growth in a 88 00:04:43,080 --> 00:04:46,560 Speaker 1: in this environment that's designed to mimic the conditions that 89 00:04:46,600 --> 00:04:50,560 Speaker 1: are similar to serious cloud environments. Yeah, and as she 90 00:04:50,600 --> 00:04:54,720 Speaker 1: said that the actual cloud chamber and they inject you know, 91 00:04:54,720 --> 00:04:56,720 Speaker 1: a little bit of vapor and there, and it's fascinating 92 00:04:56,760 --> 00:04:59,280 Speaker 1: to watch. Now, you know, the idea that little something 93 00:04:59,560 --> 00:05:03,400 Speaker 1: is insignificant seeming as a as a snow crystal could 94 00:05:03,440 --> 00:05:07,080 Speaker 1: and lead to fast changes in effect climate. It's interesting 95 00:05:07,080 --> 00:05:09,080 Speaker 1: because it's you know, very much that idea of the 96 00:05:09,080 --> 00:05:11,760 Speaker 1: butterfly effect. And of course the butterfly effect has its 97 00:05:11,760 --> 00:05:14,520 Speaker 1: heart in chaos theory, which actually stems for meteorology and 98 00:05:14,560 --> 00:05:17,240 Speaker 1: trying to figure out what is going to happen with 99 00:05:17,279 --> 00:05:19,680 Speaker 1: the weather at any given time, and as we look 100 00:05:19,720 --> 00:05:22,920 Speaker 1: into the future, there's so many factors in in our 101 00:05:22,960 --> 00:05:25,400 Speaker 1: in our weather, in our climate, in our atmosphere, and 102 00:05:25,560 --> 00:05:28,960 Speaker 1: the smallest thing does having enormous repercussions. Yeah, as the 103 00:05:28,960 --> 00:05:33,760 Speaker 1: butterfly wings in this butterfly effect theory would dictate. Right, 104 00:05:33,760 --> 00:05:36,440 Speaker 1: at least that's the idea behind it. But what we 105 00:05:36,520 --> 00:05:40,400 Speaker 1: really want to get to is is the snowflake unique? 106 00:05:40,760 --> 00:05:42,760 Speaker 1: Does it have a doppel gang or does it have 107 00:05:42,839 --> 00:05:44,760 Speaker 1: a double out there? When we hear about this all 108 00:05:44,760 --> 00:05:48,080 Speaker 1: the time, each snowflake is unique and beautiful. Yeah, it's 109 00:05:48,120 --> 00:05:50,880 Speaker 1: it's something we we hear growing up because the the 110 00:05:51,000 --> 00:05:54,440 Speaker 1: obvious analogy to grow to draw there is not only 111 00:05:54,520 --> 00:05:58,080 Speaker 1: is the snowflake unique and beautiful, but you are unique 112 00:05:58,080 --> 00:06:00,880 Speaker 1: and beautiful. You are one of a kind. You, darling child, 113 00:06:01,080 --> 00:06:03,080 Speaker 1: are unique and beautiful and there's no one else on 114 00:06:03,160 --> 00:06:06,440 Speaker 1: this world like you. And as we grow older, we 115 00:06:06,560 --> 00:06:09,800 Speaker 1: kind of realized that, yes, that is true, but it's 116 00:06:09,839 --> 00:06:12,800 Speaker 1: not as true as your your mom may have made 117 00:06:12,839 --> 00:06:14,880 Speaker 1: it out to be when you were younger. You're like, 118 00:06:14,960 --> 00:06:17,400 Speaker 1: I I am distinctive, I am unique, but I might 119 00:06:17,480 --> 00:06:20,200 Speaker 1: be a type. Yeah, if you've ever auditioned for for 120 00:06:20,240 --> 00:06:22,280 Speaker 1: any kind of an acting gig, or really, if you 121 00:06:22,440 --> 00:06:25,040 Speaker 1: if you've ever uh you know, gone after any job 122 00:06:25,200 --> 00:06:27,520 Speaker 1: and uh and and had a glimpse of the other 123 00:06:27,560 --> 00:06:30,640 Speaker 1: people going for the position, then you begin to realize, 124 00:06:30,640 --> 00:06:33,840 Speaker 1: all right, I may be a unique snowflake, but there 125 00:06:33,880 --> 00:06:37,640 Speaker 1: are similar snowflakes, and they are my enemies, right, and 126 00:06:37,680 --> 00:06:40,679 Speaker 1: I'm sure that other snowflakes look at each other like that. Um. 127 00:06:40,720 --> 00:06:44,880 Speaker 1: But yeah, on a molecular level, a snowflake, Verlin says, 128 00:06:45,279 --> 00:06:48,120 Speaker 1: could be unique. And he says, let's be specific here 129 00:06:48,400 --> 00:06:50,719 Speaker 1: and define a snowflake first of all as a single 130 00:06:50,920 --> 00:06:54,160 Speaker 1: vapor grim crystal. And then he says that he would 131 00:06:54,160 --> 00:06:56,040 Speaker 1: say with a great deal of confidence that all crystals 132 00:06:56,080 --> 00:07:00,240 Speaker 1: are different on this molecular level purely because there are different, says, 133 00:07:00,279 --> 00:07:03,039 Speaker 1: in the atomic structure of the atoms making up the 134 00:07:03,080 --> 00:07:07,720 Speaker 1: water molecule, and hence in the water molecules themselves. Yeah, yeah, 135 00:07:07,839 --> 00:07:10,120 Speaker 1: very basic level. And it's it's the same as the 136 00:07:10,360 --> 00:07:12,680 Speaker 1: fact that me and the other person going after the 137 00:07:12,760 --> 00:07:16,600 Speaker 1: same job we're composed of different atoms, where we're different 138 00:07:16,720 --> 00:07:20,160 Speaker 1: things on a very physical, uh molecular level. But visually 139 00:07:20,240 --> 00:07:23,280 Speaker 1: Verylin would say no, because there are only so many 140 00:07:23,320 --> 00:07:27,080 Speaker 1: types of snowflakes out there or shapes. Yeah, and especially 141 00:07:27,120 --> 00:07:29,400 Speaker 1: the case when you look at snowflakes in the early 142 00:07:29,400 --> 00:07:33,400 Speaker 1: stages of their development. The earlier the snowflake is, the 143 00:07:33,480 --> 00:07:37,080 Speaker 1: younger the snowflake is, the more possibility that you're gonna 144 00:07:37,080 --> 00:07:40,800 Speaker 1: have repetition. And then as the snowflake develops over time, 145 00:07:41,200 --> 00:07:45,240 Speaker 1: you know, imagine again the branching occurring, and the and 146 00:07:45,280 --> 00:07:47,640 Speaker 1: the changes occurring as it goes through these the varying 147 00:07:47,640 --> 00:07:53,239 Speaker 1: degrees of heat and cold. As time passes, there's less 148 00:07:53,280 --> 00:07:56,280 Speaker 1: likelihood that you're gonna have deuvils. But there but but still, 149 00:07:56,320 --> 00:07:58,320 Speaker 1: they're gonna have snowflakes that look a lot alike, at 150 00:07:58,400 --> 00:08:00,840 Speaker 1: least to the macro level. Right, You're not gonna have 151 00:08:01,000 --> 00:08:05,120 Speaker 1: pentagon an octagon shaped snowflakes. First of all. Let's just 152 00:08:05,120 --> 00:08:07,480 Speaker 1: get that. Ever cut one of those out in a 153 00:08:07,480 --> 00:08:11,240 Speaker 1: class school project, it's a complete lie. Does don't exist? Yeah, pretty, 154 00:08:11,320 --> 00:08:14,600 Speaker 1: but don't exist. Um, And you will probably have the hexagon, right, 155 00:08:14,640 --> 00:08:17,520 Speaker 1: that's pretty much like the bass structure here. And there 156 00:08:17,520 --> 00:08:21,160 Speaker 1: are triangular snowflakes, and most people think about those is 157 00:08:21,200 --> 00:08:23,680 Speaker 1: more like trying to find a four leaf clover, but 158 00:08:23,720 --> 00:08:25,480 Speaker 1: they turned out to be more common than we thought. 159 00:08:25,520 --> 00:08:28,720 Speaker 1: In the study Aerodynamic Stability and the Growth of Triangular 160 00:08:28,800 --> 00:08:33,280 Speaker 1: snow Crystals, co authors Kenneth Librect and Hannah Arnold described 161 00:08:33,320 --> 00:08:37,080 Speaker 1: the process as tiny impurities such as dust particles, can 162 00:08:37,120 --> 00:08:40,000 Speaker 1: cause one edge of the falling snowflake to tilt up 163 00:08:40,040 --> 00:08:43,600 Speaker 1: as it falls. The snowflakes sides that are pointed down 164 00:08:43,679 --> 00:08:46,720 Speaker 1: grow faster as the wind blows by, leading to a 165 00:08:46,800 --> 00:08:51,959 Speaker 1: stable triangular pattern which remains triangular despite any later bumps 166 00:08:52,000 --> 00:08:55,640 Speaker 1: as it falls, which is kind of fascinating a little 167 00:08:55,640 --> 00:08:57,880 Speaker 1: bit of aerodynamics going on here. We were looking at 168 00:08:57,920 --> 00:08:59,880 Speaker 1: some of the various shapes that these snowflakes take on 169 00:09:00,000 --> 00:09:02,480 Speaker 1: on and it's it's it's really a rich and very 170 00:09:02,800 --> 00:09:06,400 Speaker 1: uh the world of of snowflakes that we often take 171 00:09:06,440 --> 00:09:09,280 Speaker 1: completely for granted. I mean, because at heart we're talking 172 00:09:09,280 --> 00:09:12,720 Speaker 1: about crystal formation. And like in the world of crystals, 173 00:09:12,760 --> 00:09:15,679 Speaker 1: there's the human idea of crystals, the crystals that humans 174 00:09:15,760 --> 00:09:18,800 Speaker 1: carve naturally occurring crystals into so they can put it 175 00:09:18,800 --> 00:09:21,040 Speaker 1: on a ring or pinan or whatever, and then there 176 00:09:21,200 --> 00:09:23,800 Speaker 1: is that the rich world of actual crystal formation, which, 177 00:09:24,040 --> 00:09:25,920 Speaker 1: if you know, start doing a Google image search, you 178 00:09:26,120 --> 00:09:28,000 Speaker 1: just go down the rabbit hole at all these different forms. 179 00:09:28,040 --> 00:09:30,240 Speaker 1: And the same can be said at the snowflakes you see. 180 00:09:30,360 --> 00:09:32,719 Speaker 1: I mean some of them look more like like you're 181 00:09:32,720 --> 00:09:35,120 Speaker 1: looking at a bacteria or something, or some sort of 182 00:09:35,160 --> 00:09:39,520 Speaker 1: strange um tip for a medical device. Yeah, machine parts. 183 00:09:39,600 --> 00:09:42,880 Speaker 1: I love these. Most people think about their radiating dendrites. 184 00:09:42,960 --> 00:09:45,480 Speaker 1: Those are the ones that have the six branches with 185 00:09:45,520 --> 00:09:48,600 Speaker 1: tiny little branches coming off of it. But there are 186 00:09:48,640 --> 00:09:52,240 Speaker 1: some amazing things like the scrolls on plates is a 187 00:09:52,320 --> 00:09:55,080 Speaker 1: type of snowflake, and within that you see all sorts 188 00:09:55,120 --> 00:09:58,120 Speaker 1: of different variations. And then you see the piling on 189 00:09:58,320 --> 00:10:01,400 Speaker 1: of ice crystals, like the apped columns kind of look 190 00:10:01,520 --> 00:10:04,360 Speaker 1: like a I guess you like a bolt. And if 191 00:10:04,400 --> 00:10:07,520 Speaker 1: you look at like those big those big spools that 192 00:10:07,920 --> 00:10:11,120 Speaker 1: good wire comes on and that sometimes becomes a coffee 193 00:10:11,160 --> 00:10:14,800 Speaker 1: table and bachelors. My parents had one of this. But yeah, 194 00:10:14,880 --> 00:10:17,920 Speaker 1: you will see if you look under an electron microscope, 195 00:10:17,960 --> 00:10:20,480 Speaker 1: you will see the ice crystals on top of that 196 00:10:20,640 --> 00:10:24,640 Speaker 1: six sided plate on the very top, and it's just amazing. 197 00:10:24,679 --> 00:10:29,120 Speaker 1: They really are these crystal kingdoms of ice. Yeah, the 198 00:10:29,120 --> 00:10:33,719 Speaker 1: there's one that particular shape called capped bullets that if 199 00:10:33,760 --> 00:10:36,440 Speaker 1: you if you created this or drew this in you know, 200 00:10:36,480 --> 00:10:38,920 Speaker 1: like a second grade classroom, and called it a snowflake, 201 00:10:39,040 --> 00:10:40,760 Speaker 1: I have a feeling a lot of teachers would give 202 00:10:40,760 --> 00:10:43,959 Speaker 1: you an f. But because it looks like three crystal 203 00:10:44,040 --> 00:10:48,080 Speaker 1: shards joined at the point it does, it doesn't even 204 00:10:48,120 --> 00:10:51,000 Speaker 1: look real, you know. But but at the at the 205 00:10:51,040 --> 00:10:54,160 Speaker 1: at the micro level, this is how crystals formed together. 206 00:10:54,280 --> 00:10:56,600 Speaker 1: This is one of the many structures they can take on. Yeah, 207 00:10:56,600 --> 00:10:58,840 Speaker 1: and we'll try to um to post on this so 208 00:10:58,880 --> 00:11:01,120 Speaker 1: that you guys have a vision a little reference to this. 209 00:11:01,240 --> 00:11:02,840 Speaker 1: But if you wanted to look cut up, you could 210 00:11:02,880 --> 00:11:06,440 Speaker 1: just say electron microscopes snowflakes and you will see just 211 00:11:06,640 --> 00:11:10,800 Speaker 1: amazing imagery of this stuff. All Right, we're gonna break 212 00:11:10,840 --> 00:11:20,840 Speaker 1: and when we come back, more snowflakes. All right, we're back, 213 00:11:21,080 --> 00:11:24,360 Speaker 1: And I should point out that designer snowflakes are possible. Uh. 214 00:11:24,559 --> 00:11:27,400 Speaker 1: Cal Tech researchers have created flakes in the laboratory using 215 00:11:27,440 --> 00:11:31,320 Speaker 1: electric needles placed in a diffusion chamber. In this good situation, 216 00:11:31,440 --> 00:11:35,200 Speaker 1: the crystals grow on the needle's tip, and by altering 217 00:11:35,240 --> 00:11:38,040 Speaker 1: the conditions of scientists are able to create different sizes 218 00:11:38,040 --> 00:11:42,880 Speaker 1: and patterns of snowflakes, some uh, perhaps unnatural shapes for snowflakes. 219 00:11:43,280 --> 00:11:44,760 Speaker 1: I mean, that's got to be one of the best 220 00:11:44,840 --> 00:11:49,559 Speaker 1: jobs ever then and just yeah, I make I make snowflakes. 221 00:11:49,360 --> 00:11:53,200 Speaker 1: That yeah. And and again, as we discussed earlier, when 222 00:11:53,240 --> 00:11:56,640 Speaker 1: we're talking about pen States cloud chamber. Um, when by 223 00:11:56,679 --> 00:12:00,640 Speaker 1: studying crystal formations in snowflakes, I mean we're we're getting 224 00:12:00,679 --> 00:12:04,880 Speaker 1: down to some of the fine details of the overwhelming 225 00:12:04,920 --> 00:12:07,959 Speaker 1: movements of climate. That's right, all these tiny little things 226 00:12:08,040 --> 00:12:10,600 Speaker 1: that make up climate. And we will discuss this in 227 00:12:10,640 --> 00:12:14,280 Speaker 1: a bit. There's also this idea that snowflakes can inform 228 00:12:14,320 --> 00:12:17,080 Speaker 1: us about the universe. But first we have got to 229 00:12:17,080 --> 00:12:22,199 Speaker 1: talk about what snowflakes have to do with rip parologists. Yes, now, 230 00:12:22,240 --> 00:12:25,440 Speaker 1: this is this is pretty fabulous stuff. And this idea 231 00:12:25,800 --> 00:12:29,200 Speaker 1: comes to us from Alan Moore, who who wrote the 232 00:12:29,280 --> 00:12:33,560 Speaker 1: amazing graphic novel from Hell Uh all black and white, 233 00:12:34,280 --> 00:12:37,800 Speaker 1: big thick graphic novel about the Ripper murders, and it's 234 00:12:38,160 --> 00:12:40,600 Speaker 1: it's really a great work of literature. If you haven't 235 00:12:40,600 --> 00:12:43,720 Speaker 1: read it, uh, it deals with a lot of feminist issues. 236 00:12:44,160 --> 00:12:46,760 Speaker 1: It deals with some of the grizzly details of the case, 237 00:12:47,280 --> 00:12:51,360 Speaker 1: and in the epilogue, Alan Moore talks about the idea 238 00:12:51,440 --> 00:12:55,599 Speaker 1: of the the Cox snowflake to illustrate his point about ripparologists. 239 00:12:56,480 --> 00:13:00,880 Speaker 1: That's right. He compares the multitude of increasingly outland ripper 240 00:13:00,920 --> 00:13:04,199 Speaker 1: theories to what is known as a cock snowflake, or 241 00:13:04,280 --> 00:13:07,680 Speaker 1: a finite fixed location event and error. In this case, 242 00:13:07,800 --> 00:13:13,520 Speaker 1: London late can have an infinite number of nooks and crannies. Yeah. 243 00:13:13,600 --> 00:13:15,960 Speaker 1: So with the with the actual fractal idea of the 244 00:13:15,960 --> 00:13:18,160 Speaker 1: cock snowflake, this is what happens. You start with a 245 00:13:18,200 --> 00:13:20,640 Speaker 1: triangle and then you remove the inner third of each side, 246 00:13:20,640 --> 00:13:24,320 Speaker 1: building another triangle at the location where the side was removed. 247 00:13:24,480 --> 00:13:26,400 Speaker 1: So now you have a star instead of a kind 248 00:13:26,400 --> 00:13:28,679 Speaker 1: of like a star of David exactly. Yeah, and then 249 00:13:28,720 --> 00:13:32,400 Speaker 1: you repeat this process indefinitely. The snowflake does not grow 250 00:13:32,480 --> 00:13:36,160 Speaker 1: in size, but it grows in complexity. So Moore's point 251 00:13:36,200 --> 00:13:39,199 Speaker 1: in all of this is that there's only so much 252 00:13:39,240 --> 00:13:41,560 Speaker 1: about the Ripper murders that we know. There's only so 253 00:13:41,679 --> 00:13:44,760 Speaker 1: much at this point that we will ever know for sure. 254 00:13:44,840 --> 00:13:48,240 Speaker 1: I mean, unless we actually develop a means of traveling 255 00:13:48,240 --> 00:13:52,320 Speaker 1: back in time and spying on what happened. Uh, that's 256 00:13:52,320 --> 00:13:54,319 Speaker 1: not going to happen, so that there's a set amount 257 00:13:54,320 --> 00:13:59,200 Speaker 1: of information. So the Ripper story as we know it 258 00:13:59,760 --> 00:14:04,559 Speaker 1: will never expand beyond a certain threshold, but the complexity 259 00:14:04,800 --> 00:14:08,080 Speaker 1: that we throw at it, that that can grow. So 260 00:14:08,080 --> 00:14:09,520 Speaker 1: so the idea is that there are only so many 261 00:14:09,600 --> 00:14:12,200 Speaker 1: facts that we have, and ripparologists those you know, they're 262 00:14:12,240 --> 00:14:14,600 Speaker 1: obsessed with figuring out exactly who did it, why they 263 00:14:14,600 --> 00:14:16,679 Speaker 1: did it, what kind of complex plots were involved, the 264 00:14:16,800 --> 00:14:20,320 Speaker 1: d crafting intricate theory after theory, while our actual knowledge 265 00:14:20,320 --> 00:14:23,040 Speaker 1: on the incident never expands beyond it, beyond what is 266 00:14:23,040 --> 00:14:25,040 Speaker 1: currently known. I was just thinking about that in terms 267 00:14:25,080 --> 00:14:28,560 Speaker 1: of conspiracy theory in general, and I was thinking about 268 00:14:28,560 --> 00:14:31,480 Speaker 1: big folts. We recently talked about Yetti and Bigfoot. In 269 00:14:31,480 --> 00:14:35,080 Speaker 1: the idea there is patterns, right, and seeing patterns, and 270 00:14:35,120 --> 00:14:37,600 Speaker 1: we've talked about this whole lot with cognitive bias and 271 00:14:37,640 --> 00:14:41,840 Speaker 1: all sorts of conspiracy theorists. But the overlaying of patterns 272 00:14:41,880 --> 00:14:45,480 Speaker 1: and the symmetry in the in the cock snowflake, this fractal. 273 00:14:45,840 --> 00:14:48,680 Speaker 1: But again, what you're doing is, you know, every time 274 00:14:48,720 --> 00:14:53,880 Speaker 1: you put on another equal lateral triangle, it yields another space, 275 00:14:54,040 --> 00:14:57,560 Speaker 1: and it's an infinite perimeter to just begin into putting 276 00:14:57,600 --> 00:15:00,560 Speaker 1: on that same pattern right, that layering of that same 277 00:15:00,640 --> 00:15:04,040 Speaker 1: equilateral triangle. So it's interesting, and I just want to 278 00:15:04,040 --> 00:15:09,080 Speaker 1: point out to that the Cox snowflake is actually named 279 00:15:09,120 --> 00:15:14,360 Speaker 1: after Swedish mathematician and his name is Niels Fabian von 280 00:15:14,480 --> 00:15:18,640 Speaker 1: Koch who identified one of the earliest NEWN fractals. Here. Yeah, 281 00:15:18,800 --> 00:15:20,680 Speaker 1: it's a ko c H if you want to check 282 00:15:20,720 --> 00:15:24,040 Speaker 1: that out. Um. Now, you're probably listening to that, and 283 00:15:24,080 --> 00:15:26,120 Speaker 1: you're you're thinking, well that you're also talking about a 284 00:15:26,120 --> 00:15:28,800 Speaker 1: creative process here. You sort of you have a set 285 00:15:28,800 --> 00:15:32,400 Speaker 1: amount of information and then you're just plowing forward with 286 00:15:32,440 --> 00:15:35,040 Speaker 1: all this complexity and making the existing information more and 287 00:15:35,040 --> 00:15:36,720 Speaker 1: more complex in the way it relates to each other. 288 00:15:37,080 --> 00:15:41,920 Speaker 1: And indeed you will find snowflake novel writing methods out 289 00:15:41,920 --> 00:15:43,840 Speaker 1: there on the internet, which I've always found interesting. I 290 00:15:44,080 --> 00:15:46,040 Speaker 1: haven't really ever tried to employ one, but I like 291 00:15:46,160 --> 00:15:48,480 Speaker 1: the idea. And the idea is you start with a 292 00:15:48,520 --> 00:15:52,040 Speaker 1: simple idea. You start with your your basic outline, you 293 00:15:52,120 --> 00:15:54,120 Speaker 1: know you're and then you expand it, you create a 294 00:15:54,160 --> 00:15:57,040 Speaker 1: snowflake out of it. Um. You know, you can think 295 00:15:57,040 --> 00:15:59,720 Speaker 1: of various novels that sort of occupy the same space 296 00:15:59,760 --> 00:16:02,200 Speaker 1: that if very basic level, I mean, how many fantasy, 297 00:16:02,240 --> 00:16:04,680 Speaker 1: epic fantasy novels sound more or less the same, how 298 00:16:04,720 --> 00:16:07,320 Speaker 1: many detective novels sound more or less the same. And 299 00:16:07,440 --> 00:16:10,120 Speaker 1: to a certain extent, it's all been done before, right 300 00:16:10,520 --> 00:16:13,440 Speaker 1: where it where stuff differentiates from the next book and 301 00:16:13,480 --> 00:16:15,840 Speaker 1: the next book is in the details, is in the 302 00:16:15,840 --> 00:16:19,560 Speaker 1: the the the intricate nature of the snowflake. Even if 303 00:16:19,920 --> 00:16:23,320 Speaker 1: our existing literature and it is really only only gonna 304 00:16:23,320 --> 00:16:26,440 Speaker 1: occupy the same space, It's not going to expand beyond 305 00:16:26,520 --> 00:16:29,480 Speaker 1: its current threshold. Well, you know, as a fiction writer 306 00:16:29,520 --> 00:16:31,840 Speaker 1: who comes to the blank page with a cacophony of ideas, 307 00:16:31,960 --> 00:16:34,520 Speaker 1: I find that really seductive, this idea that you just 308 00:16:34,560 --> 00:16:38,840 Speaker 1: create this triangle, this simple triangle of the plot, and 309 00:16:38,840 --> 00:16:40,880 Speaker 1: then you begin to just fill it out from there, 310 00:16:41,360 --> 00:16:43,240 Speaker 1: and that way you can sort of tame some of 311 00:16:43,240 --> 00:16:45,840 Speaker 1: the ideas, some of the thoughts and the characters that 312 00:16:45,880 --> 00:16:48,880 Speaker 1: are running around in your head. Yeah, you know, it 313 00:16:49,040 --> 00:16:51,920 Speaker 1: brings me back to the whole idea, right, what you know? Right, 314 00:16:52,880 --> 00:16:55,800 Speaker 1: so there's a fixed amount of what I know. It 315 00:16:55,880 --> 00:16:57,760 Speaker 1: comes down to how you implement what you know and 316 00:16:57,800 --> 00:17:01,240 Speaker 1: how you how you range it on the page and 317 00:17:01,240 --> 00:17:04,960 Speaker 1: how you create this snowflake. Uh, just to go off 318 00:17:05,000 --> 00:17:06,440 Speaker 1: on a tangent here for a second, I was thinking 319 00:17:06,480 --> 00:17:07,840 Speaker 1: about this. I was thinking, I wonder if you can 320 00:17:07,920 --> 00:17:13,080 Speaker 1: weave neuroscience into an actual writing class. And the reason 321 00:17:13,200 --> 00:17:15,720 Speaker 1: is is because as readers, we have all sorts of 322 00:17:15,760 --> 00:17:19,960 Speaker 1: neurons firing right mirror neurons as we read on the 323 00:17:20,000 --> 00:17:22,240 Speaker 1: page what the character is doing. So if the character 324 00:17:22,400 --> 00:17:25,639 Speaker 1: is weeping or playing baseball, then there are certain things 325 00:17:25,680 --> 00:17:27,359 Speaker 1: going on our heads that are connecting with that. And 326 00:17:27,359 --> 00:17:30,480 Speaker 1: I was thinking that one of the reasons why some 327 00:17:30,600 --> 00:17:33,720 Speaker 1: characters work in some don't is because they seem like 328 00:17:33,880 --> 00:17:37,879 Speaker 1: caricatures and we can't relate to them because it doesn't 329 00:17:37,920 --> 00:17:41,840 Speaker 1: feel real. It's outside of the writer's experience perhaps when 330 00:17:41,880 --> 00:17:47,440 Speaker 1: they're trying to render that character that's snowflake, so it's 331 00:17:47,480 --> 00:17:49,679 Speaker 1: you know, it would be nice to see if some 332 00:17:49,840 --> 00:17:52,800 Speaker 1: of the world of science could inform fiction writing. That 333 00:17:52,800 --> 00:17:56,040 Speaker 1: would be interesting, That would be interesting. Shower thoughts by 334 00:17:56,119 --> 00:17:59,560 Speaker 1: Julie Douglas. But anyway, let's get back to this, because 335 00:17:59,600 --> 00:18:03,040 Speaker 1: I think the interesting idea that um that you could 336 00:18:03,040 --> 00:18:07,400 Speaker 1: have this pattern making and in the sense of ripparologists 337 00:18:07,440 --> 00:18:10,760 Speaker 1: or conspiracy theories in the Coke snowflake, you'd always have 338 00:18:10,880 --> 00:18:15,120 Speaker 1: uncertainty no matter how much you layered it on. Yeah, 339 00:18:15,160 --> 00:18:17,320 Speaker 1: I mean, that's the remarkable thing about it is that 340 00:18:17,480 --> 00:18:21,800 Speaker 1: again we'll never be able to say with accuracy this 341 00:18:21,880 --> 00:18:24,160 Speaker 1: is what happened, and this is this is who is involved? 342 00:18:24,760 --> 00:18:27,679 Speaker 1: Uh we but we just keep learing on the the 343 00:18:27,720 --> 00:18:30,760 Speaker 1: complexity of our theories. I mean, you see a similar 344 00:18:30,800 --> 00:18:35,280 Speaker 1: thing with the assassination of jfk uh. We have the facts, 345 00:18:35,280 --> 00:18:38,639 Speaker 1: we have them arranged, and then we cannot help but 346 00:18:38,720 --> 00:18:41,760 Speaker 1: continue to go back and try and create a more 347 00:18:42,760 --> 00:18:46,960 Speaker 1: complex idea of what happened. Um. In large part I 348 00:18:46,960 --> 00:18:49,560 Speaker 1: believe is William Manchester room of this argument pointed out 349 00:18:49,560 --> 00:18:52,280 Speaker 1: that all right, we were pretty much know Oswald killed Kennedy, 350 00:18:52,320 --> 00:18:54,639 Speaker 1: like the end that it was just a lone gunman situation. 351 00:18:55,040 --> 00:18:56,719 Speaker 1: But when you compare the two, when you put them 352 00:18:56,720 --> 00:19:01,159 Speaker 1: on the scale, you have such a an insignificant and 353 00:19:01,160 --> 00:19:04,480 Speaker 1: easily person as Oswald on this level, and then you 354 00:19:04,520 --> 00:19:07,080 Speaker 1: have a figure like Kennedy on the other. They don't 355 00:19:07,080 --> 00:19:09,480 Speaker 1: balance out you and you would have to plut you 356 00:19:09,480 --> 00:19:12,560 Speaker 1: would have to throw more complexity onto the Oswald side 357 00:19:12,560 --> 00:19:14,520 Speaker 1: of the scale. To even things out to where it 358 00:19:14,560 --> 00:19:17,920 Speaker 1: kind of makes sense in a more epic sense of 359 00:19:17,960 --> 00:19:22,000 Speaker 1: the word, and then you're just further down the rabbit hole. Right. Yeah, 360 00:19:22,080 --> 00:19:25,960 Speaker 1: I want to make this sort of thread through snowflakes 361 00:19:26,000 --> 00:19:28,760 Speaker 1: and zen and joy, and I don't know if we'll 362 00:19:28,800 --> 00:19:32,000 Speaker 1: be able to fully get at this idea, but I 363 00:19:32,040 --> 00:19:34,080 Speaker 1: did think one of the things about snowflakes is that 364 00:19:34,920 --> 00:19:37,800 Speaker 1: when you pay attention to them, you really are paying 365 00:19:37,840 --> 00:19:40,760 Speaker 1: attention to the details of the world. You're slowing things down. 366 00:19:40,920 --> 00:19:44,040 Speaker 1: And we talked about this when we were discussing labyrinths 367 00:19:44,000 --> 00:19:48,280 Speaker 1: and many other topics, that you're it's a meditative process 368 00:19:48,640 --> 00:19:51,200 Speaker 1: and you're seeing things as they are as opposed to 369 00:19:51,240 --> 00:19:55,080 Speaker 1: that blueprint in your mind, just creating memory for you 370 00:19:55,160 --> 00:19:59,439 Speaker 1: and you know, creating your reality. Yeah, that's what I 371 00:19:59,480 --> 00:20:02,480 Speaker 1: like about this idea about snowflakes is particularly the electron 372 00:20:02,840 --> 00:20:06,000 Speaker 1: microscope when you're looking at them, because you really get 373 00:20:06,040 --> 00:20:10,480 Speaker 1: to see all of those nooks and crannies and that 374 00:20:10,480 --> 00:20:14,680 Speaker 1: that that snowflake, it is such an ephemeral object because 375 00:20:14,720 --> 00:20:17,240 Speaker 1: it's gone in seconds. Well you know, it gets frozen 376 00:20:17,240 --> 00:20:20,919 Speaker 1: into the uh, into a snowdrift, and then it's molecularly 377 00:20:21,040 --> 00:20:23,560 Speaker 1: changed anyway. Yeah, it's been in a state of change 378 00:20:23,760 --> 00:20:26,439 Speaker 1: its entire existence, and then it is and then it 379 00:20:26,520 --> 00:20:29,280 Speaker 1: changes again into into mire water. And so I thought, 380 00:20:29,400 --> 00:20:33,600 Speaker 1: this is really a good example of perhaps something called joy, 381 00:20:33,800 --> 00:20:37,439 Speaker 1: one of these emotions, uh that we try to figure 382 00:20:37,440 --> 00:20:41,600 Speaker 1: out and and categorize. And Zadie Smith, she's a writer. 383 00:20:41,960 --> 00:20:45,520 Speaker 1: She has a really great essay on joy, and she 384 00:20:45,680 --> 00:20:48,480 Speaker 1: goes through and she makes the distinction between pleasure and joy. 385 00:20:48,560 --> 00:20:51,200 Speaker 1: She's a pleasure is like you know, eating a popsicle 386 00:20:51,840 --> 00:20:53,800 Speaker 1: on a hot day and avoiding my work for seven 387 00:20:53,840 --> 00:20:58,560 Speaker 1: minutes while I eat the popsicle. And Joy is my 388 00:20:58,720 --> 00:21:03,000 Speaker 1: child who is a pleasure. Um, she says, though mostly 389 00:21:03,040 --> 00:21:05,479 Speaker 1: she's a joy, which means, in fact, she gives us 390 00:21:05,520 --> 00:21:09,359 Speaker 1: not much pleasure at all, but rather that strange admixture 391 00:21:09,920 --> 00:21:13,240 Speaker 1: of terror pain into light that have come to recognize 392 00:21:13,520 --> 00:21:16,040 Speaker 1: as joy and now must find some way to live 393 00:21:16,080 --> 00:21:18,600 Speaker 1: with daily. And I thought, that is that is a 394 00:21:18,720 --> 00:21:22,200 Speaker 1: in a sense of snowflake, because that's it's it's going 395 00:21:22,280 --> 00:21:24,159 Speaker 1: to be gone. And anyway, she goes on and on 396 00:21:24,240 --> 00:21:30,040 Speaker 1: about joy and parenting and uh, just the the existence 397 00:21:30,040 --> 00:21:32,320 Speaker 1: of life. Really that that is a beautiful way of 398 00:21:32,320 --> 00:21:34,320 Speaker 1: looking at it, and I can certainly relate to that, 399 00:21:34,480 --> 00:21:37,080 Speaker 1: having recently become a parent myself, that parenting is not 400 00:21:37,680 --> 00:21:41,560 Speaker 1: a a seven minute experience with a popsicle. It is. 401 00:21:42,119 --> 00:21:44,920 Speaker 1: It's more in keeping how she framed it there as 402 00:21:45,000 --> 00:21:48,080 Speaker 1: a as an as an overall joy, but but in 403 00:21:48,119 --> 00:21:52,040 Speaker 1: the individual moment, uh, maybe not so pleasurable. Yeah, terrifying 404 00:21:52,160 --> 00:21:55,760 Speaker 1: and beautiful and terrifying for the reasons because it is, 405 00:21:56,240 --> 00:22:00,680 Speaker 1: as we all know, life on Earth is temporary existence 406 00:22:00,720 --> 00:22:03,840 Speaker 1: and sort of uh underscores that point force a lot, 407 00:22:03,880 --> 00:22:06,359 Speaker 1: just like a snowflake melting in the sun. Um. But 408 00:22:06,440 --> 00:22:09,280 Speaker 1: I think that what's interesting again about snowflakes is that 409 00:22:09,720 --> 00:22:12,639 Speaker 1: they do allow us to go macro and micro. And 410 00:22:12,640 --> 00:22:15,000 Speaker 1: if you wanted to go macro on this, all you 411 00:22:15,000 --> 00:22:17,959 Speaker 1: would have to do is look at the galaxies. And 412 00:22:18,080 --> 00:22:21,920 Speaker 1: one guy by the name of Professor Duncan Forbes who 413 00:22:22,000 --> 00:22:27,040 Speaker 1: says that galaxy formation is very similar to snowflake formation. Yeah, 414 00:22:27,080 --> 00:22:28,320 Speaker 1: it comes. I mean a lot of it comes down 415 00:22:28,320 --> 00:22:30,600 Speaker 1: to the basic idea of accretion, which we've talked about before, 416 00:22:30,640 --> 00:22:32,840 Speaker 1: when we've talked about the formation of planets and stars 417 00:22:32,840 --> 00:22:35,919 Speaker 1: and solar systems and you know, on up to the galaxies. 418 00:22:36,720 --> 00:22:39,320 Speaker 1: When you have just a very small, a little bit 419 00:22:39,359 --> 00:22:42,480 Speaker 1: of a bit of matter, and it's the exerting gravitational force, 420 00:22:42,640 --> 00:22:44,919 Speaker 1: it draws in another bit of matter, and then the 421 00:22:44,960 --> 00:22:48,360 Speaker 1: graviltational force grows and grows. It's like a snowball going 422 00:22:48,359 --> 00:22:51,320 Speaker 1: down a hill. It eventually gets bigger and bigger, draws 423 00:22:51,359 --> 00:22:54,000 Speaker 1: in more matter from the surrounding area, and that's how 424 00:22:54,040 --> 00:22:55,879 Speaker 1: you end up with a planet or a star or 425 00:22:55,920 --> 00:23:00,119 Speaker 1: in these larger cases, um galaxies. Um starts out very 426 00:23:00,160 --> 00:23:02,800 Speaker 1: small and than the galaxies, uh, than seed in this 427 00:23:03,080 --> 00:23:06,720 Speaker 1: constant stream of other stars, other regions of other you know, 428 00:23:06,880 --> 00:23:11,159 Speaker 1: vast tracts of of gas. Yeah, so these giants, I mean, 429 00:23:11,200 --> 00:23:13,879 Speaker 1: they're being formed. But essentially it's the same process as 430 00:23:13,920 --> 00:23:16,800 Speaker 1: a snowflake that has that seed, and then it grows 431 00:23:16,840 --> 00:23:19,399 Speaker 1: the water vapor, and then that water vapor accumulates on 432 00:23:19,440 --> 00:23:21,280 Speaker 1: the surface of snowflake, and so on and so forth. 433 00:23:21,520 --> 00:23:23,280 Speaker 1: It's kind of a lovely thought to think that that 434 00:23:23,359 --> 00:23:27,920 Speaker 1: snowflake has very much a lot of in common with 435 00:23:28,200 --> 00:23:32,200 Speaker 1: this infinite universe idea. Yeah, snowflakes of the gods, if 436 00:23:32,200 --> 00:23:34,920 Speaker 1: you will, I love that. If we could right now, 437 00:23:35,359 --> 00:23:38,080 Speaker 1: we would just say, and happy holidays everyone, and then 438 00:23:38,520 --> 00:23:41,399 Speaker 1: and whatever wherever place you are, in your car, in 439 00:23:41,440 --> 00:23:44,920 Speaker 1: your room, at home, on the train commuting, snowflakes would 440 00:23:44,920 --> 00:23:47,960 Speaker 1: fall down gently upon your head. Indeed, but I'm going 441 00:23:48,040 --> 00:23:51,120 Speaker 1: to read a quote from Corn McCarthy, so so that 442 00:23:50,840 --> 00:23:53,400 Speaker 1: that'll kind of deaden some of the joy. But still 443 00:23:53,440 --> 00:23:55,800 Speaker 1: it's a beautiful quote. This is from the Border trilogy, 444 00:23:56,240 --> 00:24:01,119 Speaker 1: um and this is one speaker up, an individual speaking 445 00:24:01,160 --> 00:24:03,960 Speaker 1: to another character. He says, snowflake, You catch the snowflake, 446 00:24:04,040 --> 00:24:06,159 Speaker 1: but when you look in your hands, you don't have 447 00:24:06,200 --> 00:24:09,560 Speaker 1: it no more. Maybe you see this the shadow, this pattern, 448 00:24:09,880 --> 00:24:12,280 Speaker 1: but before you see it's gone. If you want to 449 00:24:12,280 --> 00:24:14,159 Speaker 1: see it, you have to see it on its own ground. 450 00:24:14,240 --> 00:24:16,199 Speaker 1: If you catch it, you lose it. And where it 451 00:24:16,240 --> 00:24:18,760 Speaker 1: goes there is no coming back from not even God 452 00:24:18,800 --> 00:24:23,840 Speaker 1: can bring it back. Happy holidays. Have I have a 453 00:24:23,920 --> 00:24:28,320 Speaker 1: nice CORNL. McCarthy Christmas, everybody, as you as you ruminate 454 00:24:28,359 --> 00:24:30,439 Speaker 1: on that, but but also yeah, as you look if 455 00:24:30,440 --> 00:24:33,240 Speaker 1: you were fortunate enough to experience a white Christmas, a 456 00:24:33,320 --> 00:24:36,320 Speaker 1: pleasantly white Christmas, not a not one that is, you know, 457 00:24:36,359 --> 00:24:40,920 Speaker 1: turning your area into a frigid waste land. But you 458 00:24:40,960 --> 00:24:42,399 Speaker 1: get to look out on the snow. Think about those 459 00:24:42,440 --> 00:24:46,480 Speaker 1: little snowflakes. Think about that tiny, intricate design and how 460 00:24:46,520 --> 00:24:49,120 Speaker 1: it all spirals out from their affecting climate. And look 461 00:24:49,160 --> 00:24:52,880 Speaker 1: up into the sky and think about these, uh, these stars, 462 00:24:52,960 --> 00:24:54,920 Speaker 1: these planets that have formed and are you can continue 463 00:24:54,920 --> 00:24:58,359 Speaker 1: to form and uh and the galactic formations that, in 464 00:24:58,560 --> 00:25:02,560 Speaker 1: their own way are much the snowflake. Indeed, And if 465 00:25:02,560 --> 00:25:04,600 Speaker 1: you want to check out some more of what we're 466 00:25:04,640 --> 00:25:07,239 Speaker 1: doing out there on the Internet, you can do so 467 00:25:07,320 --> 00:25:09,360 Speaker 1: at Stuff to Blow your Mind. Yes, Stuff to Blow 468 00:25:09,400 --> 00:25:11,120 Speaker 1: your Mind dot com. You can also check us out 469 00:25:11,160 --> 00:25:14,160 Speaker 1: on social media. We're on tumbler one, on Twitter, We're 470 00:25:14,160 --> 00:25:17,960 Speaker 1: on Facebook, We're on Google Plus, um and uh. You 471 00:25:17,960 --> 00:25:20,160 Speaker 1: can also find us on YouTube where remind Stuff show 472 00:25:20,400 --> 00:25:22,320 Speaker 1: and Julie. Where else can they find us? Well, they 473 00:25:22,359 --> 00:25:24,879 Speaker 1: can send an email to blow the mind at discovery 474 00:25:24,960 --> 00:25:31,240 Speaker 1: dot com for more on this and thousands of other 475 00:25:31,280 --> 00:25:40,360 Speaker 1: topics because it how stuff works dot com. Audible dot 476 00:25:40,359 --> 00:25:43,280 Speaker 1: com is the leading provider of downloadable digital audio books 477 00:25:43,280 --> 00:25:46,240 Speaker 1: and spoken word entertainment. Audible has over a hundred thousand 478 00:25:46,320 --> 00:25:48,919 Speaker 1: titles to choose from to be downloaded to your iPod 479 00:25:49,040 --> 00:25:52,000 Speaker 1: or NBP player. 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