1 00:00:03,040 --> 00:00:05,880 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stop 2 00:00:05,880 --> 00:00:14,040 Speaker 1: Work dot com. Hey, welcome to Stuff to Blow Your Mind. 3 00:00:14,040 --> 00:00:16,080 Speaker 1: My name is Robert Brown, and I'm showing the format. 4 00:00:16,120 --> 00:00:17,840 Speaker 1: Before we get going real quick, here a few things 5 00:00:17,840 --> 00:00:19,720 Speaker 1: you need to know. First of all, Stuff to Blow 6 00:00:19,760 --> 00:00:22,280 Speaker 1: your Mind dot Com that's our mothership. That's their homepage. 7 00:00:22,760 --> 00:00:26,479 Speaker 1: Visit that site if you want all the podcast episodes, videos, 8 00:00:26,760 --> 00:00:29,200 Speaker 1: blog post and links out to our social media accounts. 9 00:00:29,240 --> 00:00:31,000 Speaker 1: And of course we bring this show to you free 10 00:00:31,000 --> 00:00:33,560 Speaker 1: of charge. 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We're 22 00:01:02,840 --> 00:01:06,000 Speaker 1: doing those most Fridays these days, so you can find 23 00:01:06,000 --> 00:01:08,440 Speaker 1: out more information about that at our Facebook or a Twitter. 24 00:01:09,040 --> 00:01:11,399 Speaker 1: All right, Joe, let's get going on the topic here today. 25 00:01:11,440 --> 00:01:14,440 Speaker 1: We're talking about snow because we are in the midst 26 00:01:14,480 --> 00:01:17,440 Speaker 1: of winter of some sort where we are highly unlikely 27 00:01:17,520 --> 00:01:19,920 Speaker 1: to see snow, because, let's face it, we live in 28 00:01:19,959 --> 00:01:23,000 Speaker 1: Atlanta and it's not unusual to have a d degree 29 00:01:23,080 --> 00:01:27,000 Speaker 1: days in December. Yes, most of my snow these days 30 00:01:27,120 --> 00:01:31,560 Speaker 1: is coming in the form of storytelling and storybook reading 31 00:01:31,680 --> 00:01:35,240 Speaker 1: with my son, particularly the Doctor Seuss book The Cat 32 00:01:35,319 --> 00:01:37,400 Speaker 1: in the Hat Comes Back. Are you familiar with this 33 00:01:37,480 --> 00:01:40,959 Speaker 1: text at all? I don't think so. No. Now was 34 00:01:41,000 --> 00:01:44,800 Speaker 1: this written this one in Alexander Sultan Itsen? No? No, 35 00:01:44,959 --> 00:01:47,560 Speaker 1: this was Dr sus is Doctor Sears? Okay, the Cat 36 00:01:47,600 --> 00:01:51,440 Speaker 1: in the Hat comes back? Does he come back for revenge? Um? Depended, 37 00:01:51,760 --> 00:01:53,400 Speaker 1: you know, it depends on your read of Cat in 38 00:01:53,440 --> 00:01:55,919 Speaker 1: the Hat and what cat and what this hat cat 39 00:01:56,000 --> 00:01:58,360 Speaker 1: wants out of its visits. This is, of course, the 40 00:01:58,400 --> 00:02:00,960 Speaker 1: sequel to The Cat in the Hat. You might remember 41 00:02:01,040 --> 00:02:03,520 Speaker 1: that one is the adventure in which the cat shows 42 00:02:03,600 --> 00:02:07,440 Speaker 1: up on a rainy day and starts causing a mess, 43 00:02:07,480 --> 00:02:09,760 Speaker 1: brings in Thing one and Thing two, and they run 44 00:02:09,840 --> 00:02:12,040 Speaker 1: him up and then Eventually they have to catch thing 45 00:02:12,120 --> 00:02:14,800 Speaker 1: and the thing one and thing too and uh, Sally 46 00:02:14,880 --> 00:02:17,360 Speaker 1: and her brother get the cat out, get the place 47 00:02:17,400 --> 00:02:20,000 Speaker 1: cleaned up, just in the nick of time. But they've 48 00:02:20,000 --> 00:02:23,680 Speaker 1: effectively staved off boredom, so it's not a total loss. Yeah, indeed. 49 00:02:24,360 --> 00:02:26,799 Speaker 1: But in the sequel, this is what's happening. It's a 50 00:02:26,840 --> 00:02:29,760 Speaker 1: snow day. There's snow everywhere, and Sally and her brother 51 00:02:30,120 --> 00:02:33,320 Speaker 1: are outside cleaning up the snow and her mother is 52 00:02:33,680 --> 00:02:36,600 Speaker 1: that their mothers who knows where, but they're at home 53 00:02:36,680 --> 00:02:39,760 Speaker 1: doing chores. Cat and Hat shows up, goes in the house, 54 00:02:40,320 --> 00:02:42,200 Speaker 1: and the brother instantly thinks, well, this is no good. 55 00:02:42,240 --> 00:02:44,000 Speaker 1: I'm going in. I'm gonna check this out and make 56 00:02:44,040 --> 00:02:46,160 Speaker 1: sure the cat's not racking the place like he did 57 00:02:46,240 --> 00:02:49,079 Speaker 1: last time. Because the cat and Hat is a is 58 00:02:49,120 --> 00:02:51,519 Speaker 1: an agent of chaos, and I don't think he's I 59 00:02:51,560 --> 00:02:54,320 Speaker 1: don't think he's good or bad, but he brings chaos 60 00:02:54,560 --> 00:02:57,919 Speaker 1: to wherever he goes. He's kind of a low key figure, yeah, exactly. 61 00:02:57,919 --> 00:03:01,720 Speaker 1: He's a trickster god. And in this particular incident, the 62 00:03:01,720 --> 00:03:04,200 Speaker 1: first name the cat does is start eating pink cake 63 00:03:04,400 --> 00:03:09,040 Speaker 1: in the bathtub, which is which looks very fun and inviting, 64 00:03:09,120 --> 00:03:12,680 Speaker 1: you know the book, uh, and the boy he says, 65 00:03:12,720 --> 00:03:14,480 Speaker 1: all right, the brothers says, there, you gotta get out 66 00:03:14,480 --> 00:03:15,880 Speaker 1: of there. This is making a mess, and indeed it 67 00:03:15,960 --> 00:03:18,800 Speaker 1: makes a pink ring in the tub when he drains it. 68 00:03:19,120 --> 00:03:22,160 Speaker 1: So the cat in the hats thing is has always 69 00:03:22,200 --> 00:03:25,239 Speaker 1: been that he's gonna help clean up because he's responsible. 70 00:03:25,800 --> 00:03:28,960 Speaker 1: But his cleanup techniques tend to be a bit chaotic 71 00:03:28,960 --> 00:03:30,240 Speaker 1: as well, and in this case it is kind of 72 00:03:30,280 --> 00:03:33,800 Speaker 1: an Amelia Badelia. Right. Yeah, even the well meaning attempts 73 00:03:33,800 --> 00:03:36,480 Speaker 1: to fix things sort of cause more chaos, right, and 74 00:03:36,560 --> 00:03:39,120 Speaker 1: his methods are are strange, And in this case it's 75 00:03:39,160 --> 00:03:41,200 Speaker 1: not it's not a situation where you just all right, well, 76 00:03:41,240 --> 00:03:43,119 Speaker 1: let's wash off the tub like a normal person would. 77 00:03:43,320 --> 00:03:46,280 Speaker 1: The cat transfers the pink stain from one item to 78 00:03:46,360 --> 00:03:48,880 Speaker 1: another in the house, so it goes everywhere until it 79 00:03:48,920 --> 00:03:52,200 Speaker 1: eventually winds up on the father's bed and he has 80 00:03:52,240 --> 00:03:55,880 Speaker 1: to call in all these additional hat cats, these increasingly 81 00:03:55,920 --> 00:03:59,840 Speaker 1: smaller cat in the hats from under his hat. With 82 00:04:00,040 --> 00:04:02,000 Speaker 1: each one has a different letter of the alphabet is 83 00:04:02,040 --> 00:04:05,320 Speaker 1: its name, So eventually you just have all there's a 84 00:04:05,360 --> 00:04:09,440 Speaker 1: whole bunch of different sized hat cats working to destroy 85 00:04:09,520 --> 00:04:12,400 Speaker 1: the stain, which eventually ends up outside the house, staining 86 00:04:12,440 --> 00:04:16,160 Speaker 1: all of the snow. Uh. And they keep trying harder 87 00:04:16,200 --> 00:04:19,440 Speaker 1: and harder, they keep pulverizing the snow, but it remains pink. 88 00:04:20,040 --> 00:04:22,560 Speaker 1: It's only when the very smallest hat cat of all 89 00:04:22,640 --> 00:04:25,279 Speaker 1: hat cat z, a cat that is so small that 90 00:04:25,320 --> 00:04:28,599 Speaker 1: we we are told we cannot actually see it, that 91 00:04:28,680 --> 00:04:32,040 Speaker 1: cat takes off his hat and inside that is something 92 00:04:32,120 --> 00:04:36,120 Speaker 1: called voom, and zoom cleans up all the snow, makes 93 00:04:36,120 --> 00:04:38,800 Speaker 1: it white again. But what is voom? I don't know. 94 00:04:39,120 --> 00:04:42,440 Speaker 1: That's the That's that's a question that I want our 95 00:04:42,480 --> 00:04:45,760 Speaker 1: listeners to keep in mind. Two questions. A what is 96 00:04:45,800 --> 00:04:49,160 Speaker 1: this pink snow exactly that Sally and her brother and 97 00:04:49,480 --> 00:04:54,080 Speaker 1: the hat cats are dealing with. And indeed, what is voom? What? 98 00:04:54,080 --> 00:05:00,359 Speaker 1: What is this uh this strange substance or or mo 99 00:05:00,400 --> 00:05:04,760 Speaker 1: molecule or or energy within the the hat cats these 100 00:05:04,800 --> 00:05:07,120 Speaker 1: hat what is it? And how does it clean up 101 00:05:07,120 --> 00:05:11,720 Speaker 1: that snow? It's MINTI Glorean's it might be well. Obviously, 102 00:05:11,760 --> 00:05:13,960 Speaker 1: the cat and the hat comes back is just a 103 00:05:14,040 --> 00:05:18,360 Speaker 1: delightful children's fantasy, But there are a lot of strange 104 00:05:18,640 --> 00:05:23,480 Speaker 1: facts and strange circumstances in which people have encountered quite 105 00:05:23,480 --> 00:05:26,640 Speaker 1: bizarre snow events in the real world. I don't know 106 00:05:26,760 --> 00:05:30,960 Speaker 1: about Boom, but pink snow is not just a dream. 107 00:05:31,080 --> 00:05:34,760 Speaker 1: It's a fact about reality. It happens sometimes for various 108 00:05:34,839 --> 00:05:38,080 Speaker 1: causes and in various locations, and not just pink. We've 109 00:05:38,120 --> 00:05:42,920 Speaker 1: seen black snow, green snow, blue snow, we've seen We've 110 00:05:42,960 --> 00:05:46,760 Speaker 1: seen weird snow sculptures that seem not to have been 111 00:05:46,800 --> 00:05:50,160 Speaker 1: made by humans or animals. We've seen snow that some 112 00:05:50,200 --> 00:05:53,200 Speaker 1: people think isn't actually made of water and it's maybe 113 00:05:53,240 --> 00:05:56,320 Speaker 1: some kind of like nano robot army invading the world. 114 00:05:56,480 --> 00:05:58,320 Speaker 1: So so I thought it would be worth doing an 115 00:05:58,320 --> 00:06:01,560 Speaker 1: episode just to talk about out all of the weird 116 00:06:01,640 --> 00:06:06,560 Speaker 1: ways that that snow can freak people out. Indeed, indeed, 117 00:06:06,600 --> 00:06:09,520 Speaker 1: so let's you know, one one way that that a 118 00:06:09,600 --> 00:06:13,200 Speaker 1: natural phenomena intends to freak us out is when it's 119 00:06:13,480 --> 00:06:15,920 Speaker 1: it's size is different, you know, I mean, that's the 120 00:06:15,960 --> 00:06:18,400 Speaker 1: whole thing. Nobody cares about seeing a rat, but if 121 00:06:18,400 --> 00:06:20,799 Speaker 1: you see a giant rat, and well that's worth talking about. 122 00:06:21,080 --> 00:06:24,400 Speaker 1: How about giant snowflakes? Yeah, you know, snowflakes are not 123 00:06:24,680 --> 00:06:30,160 Speaker 1: like scorpions, whereas with a scorpion, a giant scorpion, that's 124 00:06:30,240 --> 00:06:33,840 Speaker 1: really interesting. But even a normal size, very small scorpion 125 00:06:33,920 --> 00:06:36,880 Speaker 1: is worth your attention. How big does a snowflake have 126 00:06:36,920 --> 00:06:39,320 Speaker 1: to get before you actually stop and take notice? Well, 127 00:06:39,360 --> 00:06:43,479 Speaker 1: that's a good question. So obviously a normal size I 128 00:06:43,480 --> 00:06:45,400 Speaker 1: don't know what what what a normal size would be? 129 00:06:45,520 --> 00:06:47,839 Speaker 1: Maybe a couple of millimeters or so for a snowflake 130 00:06:47,920 --> 00:06:50,359 Speaker 1: that that's not worth your attention. If it were a 131 00:06:50,400 --> 00:06:54,760 Speaker 1: few inches across, that would be something you'd notice, right, Um, 132 00:06:54,920 --> 00:06:58,120 Speaker 1: And it turns out that that does happen sometimes. Now, 133 00:06:58,240 --> 00:07:02,080 Speaker 1: the biggest on record is one where the record itself 134 00:07:02,240 --> 00:07:06,560 Speaker 1: is highly disputable. The traditional record holder for for the 135 00:07:06,560 --> 00:07:11,080 Speaker 1: biggest snowflake was supposedly observed by a rancher named Matt 136 00:07:11,160 --> 00:07:15,840 Speaker 1: Coleman of Fort Keo, Montana in eighteen seven. That is 137 00:07:15,840 --> 00:07:18,240 Speaker 1: big sky country, right, oh is it? I think so? 138 00:07:18,320 --> 00:07:20,800 Speaker 1: In the Montana big sky count I don't know. I mean, 139 00:07:20,840 --> 00:07:23,400 Speaker 1: if there's bigger sky or the bigger snowflakes, I would 140 00:07:23,440 --> 00:07:25,920 Speaker 1: guess so that that seems to be the relationship going 141 00:07:25,960 --> 00:07:28,119 Speaker 1: on here. Well, let's hear what Matt had to say 142 00:07:28,120 --> 00:07:30,880 Speaker 1: about what happened on a ranch. According to Matt, there 143 00:07:30,880 --> 00:07:33,560 Speaker 1: were snowflakes that were falling that were bigger than a 144 00:07:33,600 --> 00:07:38,360 Speaker 1: milk pan. Yeah, so they were fifteen inches wide and 145 00:07:38,560 --> 00:07:43,200 Speaker 1: eight inches thick. So you've got these like frisbee sized 146 00:07:43,920 --> 00:07:46,960 Speaker 1: snow Yeah, that's like a that's like a pizza. And 147 00:07:47,160 --> 00:07:49,320 Speaker 1: also one of the things you'd have to imagine is 148 00:07:49,360 --> 00:07:52,440 Speaker 1: that a snowflake of that size would have enough density 149 00:07:52,520 --> 00:07:54,600 Speaker 1: with the ice crystal within it that it would be 150 00:07:54,640 --> 00:07:58,680 Speaker 1: falling pretty fast and pretty hard. This is certainly something 151 00:07:58,760 --> 00:08:02,720 Speaker 1: that's true. Larger snowflake tend to fall faster. Uh, those 152 00:08:02,720 --> 00:08:05,480 Speaker 1: snowflakes that are several inches across will fall faster than 153 00:08:05,680 --> 00:08:08,880 Speaker 1: you know, light fluffy, tiny little thing. So I don't 154 00:08:08,880 --> 00:08:11,000 Speaker 1: know what it would be like to stand under a 155 00:08:11,040 --> 00:08:13,640 Speaker 1: snowflake that's fifteen inches wide. I mean, would that be 156 00:08:13,720 --> 00:08:16,480 Speaker 1: like a giant Ninja star coming from this guy to 157 00:08:16,600 --> 00:08:19,440 Speaker 1: kill you? I mean it almost sounds like like a 158 00:08:19,480 --> 00:08:23,560 Speaker 1: spiritual experience. It's like like seeing an alien life form 159 00:08:23,640 --> 00:08:27,720 Speaker 1: or an angelic visitation is occurring in your life, right, Yeah, yeah, 160 00:08:27,800 --> 00:08:31,600 Speaker 1: death frisbees from heaven. But anyway, fifteen inches wide, I 161 00:08:31,640 --> 00:08:35,640 Speaker 1: don't somehow, I don't believe Matt the Rancher. I think 162 00:08:35,679 --> 00:08:38,440 Speaker 1: Matt the Rancher may have been exaggerating. That's just my 163 00:08:38,880 --> 00:08:41,880 Speaker 1: gut feeling. It could be wrong. Apparently this guy's word 164 00:08:42,040 --> 00:08:44,200 Speaker 1: was good enough for the Guinness Book of World Records. 165 00:08:44,679 --> 00:08:46,600 Speaker 1: But I mean, it's not like they sent a team 166 00:08:46,640 --> 00:08:49,680 Speaker 1: of investigators out there to verify it and they measured 167 00:08:49,720 --> 00:08:51,760 Speaker 1: the snowflake and everything. I think we're pretty much just 168 00:08:51,840 --> 00:08:54,400 Speaker 1: going on what this guy said he saw. Okay, and 169 00:08:54,400 --> 00:08:57,640 Speaker 1: I can easily imagine a rancher out in the middle 170 00:08:57,640 --> 00:09:00,400 Speaker 1: of nowhere in Montana and have you think kind of 171 00:09:00,400 --> 00:09:03,319 Speaker 1: looks the same. After a few days, the mind begins 172 00:09:03,400 --> 00:09:05,280 Speaker 1: the sort of non itself a little bit, and then 173 00:09:05,320 --> 00:09:09,640 Speaker 1: in the midst of a snowstorm, you are visited by this, uh, 174 00:09:09,800 --> 00:09:16,640 Speaker 1: this geometric entity, right Thor's and Ninja stars. Yeah, you 175 00:09:16,760 --> 00:09:19,120 Speaker 1: call up Guinnis and they write it down because they 176 00:09:19,160 --> 00:09:22,480 Speaker 1: need to push some coffees. Okay, So, and I don't 177 00:09:22,480 --> 00:09:25,200 Speaker 1: know about fifteen inches, but it's definitely true that that 178 00:09:25,320 --> 00:09:29,079 Speaker 1: snowflakes several inches across happened sometimes around the world, and 179 00:09:29,400 --> 00:09:31,839 Speaker 1: that's freaky enough on its own. YEA, if I saw 180 00:09:31,880 --> 00:09:34,360 Speaker 1: a snowflake three or four inches across, I would think 181 00:09:34,400 --> 00:09:36,920 Speaker 1: the Odin's sleep was dawning, Yeah, or that I was 182 00:09:36,920 --> 00:09:40,120 Speaker 1: shrinking one of the two. That's a good way of 183 00:09:40,120 --> 00:09:42,280 Speaker 1: looking at it too, But of course that's not the 184 00:09:42,320 --> 00:09:46,680 Speaker 1: only way that snow can do something physically very strange 185 00:09:46,960 --> 00:09:49,920 Speaker 1: with without having anybody mess with it. Yeah, and this 186 00:09:50,040 --> 00:09:52,360 Speaker 1: was something I had I had not heard of before. 187 00:09:52,400 --> 00:09:54,200 Speaker 1: This was a new one when you brought this up 188 00:09:54,200 --> 00:09:55,920 Speaker 1: to this episode. Yeah. So I want to put you 189 00:09:55,960 --> 00:09:59,560 Speaker 1: in a scenario. Imagine you are out hiking in the 190 00:09:59,640 --> 00:10:03,560 Speaker 1: rocky mountains on New Year's Day. You're a little bit hungover, 191 00:10:04,200 --> 00:10:07,280 Speaker 1: You've got your rifle across your back, You've got your 192 00:10:07,280 --> 00:10:10,000 Speaker 1: snow shoes on your feet, and you've got your VHS 193 00:10:10,080 --> 00:10:13,040 Speaker 1: camcorder with the cracked lens and it's fully charged up 194 00:10:13,040 --> 00:10:16,280 Speaker 1: on battery power. Because today is the day you are 195 00:10:16,440 --> 00:10:20,120 Speaker 1: finally going to capture video evidence of Bigfoot. Well, you know, 196 00:10:20,400 --> 00:10:22,760 Speaker 1: that is my New Year's resolution for the coming year, 197 00:10:23,480 --> 00:10:25,840 Speaker 1: just finally, you know, quit talking about it and just 198 00:10:25,880 --> 00:10:29,120 Speaker 1: get some video footage of of the of the SAT squad. 199 00:10:29,400 --> 00:10:31,920 Speaker 1: Put up or shut up, It's the ultimate personal betterment. 200 00:10:32,080 --> 00:10:35,679 Speaker 1: But anyway, you're you're snow shoeing alone through a desolate 201 00:10:35,720 --> 00:10:38,480 Speaker 1: mountain pass and suddenly you come out of the pines 202 00:10:38,520 --> 00:10:42,920 Speaker 1: into this pristine, snow covered clearing and you look out 203 00:10:42,960 --> 00:10:46,280 Speaker 1: beyond the path and you see something very strange. You 204 00:10:46,320 --> 00:10:50,680 Speaker 1: see dozens of white cylinders lying on the ground on 205 00:10:50,720 --> 00:10:55,240 Speaker 1: their side, each between about like one and two feet tall, 206 00:10:56,280 --> 00:10:58,280 Speaker 1: And the best way to describe it is that it 207 00:10:58,320 --> 00:11:01,080 Speaker 1: looks like someone has taken a flyer layer of snow 208 00:11:01,520 --> 00:11:04,640 Speaker 1: and rolled it up like you might roll up a 209 00:11:04,640 --> 00:11:09,280 Speaker 1: flat sheet of pastry into a cinnamon roll. And sometimes 210 00:11:09,360 --> 00:11:12,560 Speaker 1: it's this solid, spiraling cylinder like the cinnamon roll, and 211 00:11:12,640 --> 00:11:15,560 Speaker 1: sometimes it's more like a doughnut. There's a hole in 212 00:11:15,600 --> 00:11:18,440 Speaker 1: the middle, making it look like a white car tire 213 00:11:18,679 --> 00:11:23,160 Speaker 1: or one description I've read, a gigantic white cheerio just 214 00:11:23,280 --> 00:11:27,120 Speaker 1: sitting there in the snow. And you look around and 215 00:11:27,160 --> 00:11:30,720 Speaker 1: there are no footprints anywhere, no indication that anyone has 216 00:11:30,800 --> 00:11:36,040 Speaker 1: created these giant icy spirals, unless, of course sasquatch has 217 00:11:36,040 --> 00:11:38,240 Speaker 1: wings now, and you know that's how he did it. 218 00:11:38,280 --> 00:11:42,320 Speaker 1: But what's going on here? Well, I read an article 219 00:11:42,360 --> 00:11:45,920 Speaker 1: where a guy named Mike Stanford had an experience like 220 00:11:46,000 --> 00:11:49,400 Speaker 1: this in two thousand seven. He wasn't hunting sasquatch, No 221 00:11:49,400 --> 00:11:52,760 Speaker 1: no rifle or VHS cam quarter. But in a two 222 00:11:52,760 --> 00:11:56,880 Speaker 1: thousand seven article for the Seattle Times, the author Susan 223 00:11:56,920 --> 00:12:01,000 Speaker 1: Gilmour speaks to Stanford, who's this avalanche control role expert 224 00:12:01,440 --> 00:12:04,319 Speaker 1: for the Washington State Department of Transportation. That sounds like 225 00:12:04,360 --> 00:12:06,400 Speaker 1: a pretty cool job, by the way. Yeah, plus sounds 226 00:12:06,440 --> 00:12:09,520 Speaker 1: like he's an ideal person to start thinking about this phenomenon, 227 00:12:09,600 --> 00:12:13,480 Speaker 1: right because the movement of snow, the physics of snow 228 00:12:13,559 --> 00:12:16,840 Speaker 1: that's right up is out. So while uh, Stanford was 229 00:12:16,840 --> 00:12:20,160 Speaker 1: out doing avalanche control work in the North Cascades in 230 00:12:20,559 --> 00:12:24,040 Speaker 1: March two thousand and seven, he came across these giant 231 00:12:24,160 --> 00:12:27,240 Speaker 1: doughnuts made of snow in a place called Washington Pass, 232 00:12:27,840 --> 00:12:30,440 Speaker 1: and the biggest ones were like two ft tall, with 233 00:12:30,520 --> 00:12:32,640 Speaker 1: a hole in the middle that he claimed was big 234 00:12:32,720 --> 00:12:36,240 Speaker 1: enough for him to fit his head through. I don't 235 00:12:36,280 --> 00:12:38,800 Speaker 1: know if that means he actually stuck his head all 236 00:12:38,840 --> 00:12:40,400 Speaker 1: the way through it, he said, he put his face 237 00:12:40,480 --> 00:12:42,559 Speaker 1: up to it. It does give me an idea to 238 00:12:42,600 --> 00:12:45,360 Speaker 1: write a horror story with this great novel execution device, 239 00:12:45,400 --> 00:12:48,720 Speaker 1: which would be the ice Gia team. Oh man, that yeah, 240 00:12:49,000 --> 00:12:50,720 Speaker 1: don't stick your head into one of these. That was 241 00:12:50,840 --> 00:12:53,320 Speaker 1: I mean, even if it's just two ft tall, it's 242 00:12:53,360 --> 00:12:56,160 Speaker 1: just uh yeah. I mean, we don't typically want to 243 00:12:56,200 --> 00:13:01,200 Speaker 1: be an alarmist on this podcast, but but just played 244 00:13:01,240 --> 00:13:03,200 Speaker 1: on the safe side, don't stick your head in, you know, 245 00:13:03,520 --> 00:13:07,480 Speaker 1: if you encounter some alien looking ice sore snow sculpture 246 00:13:07,520 --> 00:13:09,960 Speaker 1: out in the middle of nowhere, because yeah, this I think, 247 00:13:10,000 --> 00:13:11,720 Speaker 1: you know. Back to your question, like, how would I 248 00:13:11,760 --> 00:13:13,600 Speaker 1: respond to this, I think I would. I would be 249 00:13:13,640 --> 00:13:17,559 Speaker 1: a little freaked out by it, especially since, as I stated, 250 00:13:17,880 --> 00:13:21,000 Speaker 1: I was not familiar with this phenomena until you mentioned 251 00:13:21,000 --> 00:13:24,120 Speaker 1: it to me. Yeah, well I would pretty obviously. I 252 00:13:24,120 --> 00:13:26,440 Speaker 1: mean I've read about it now. But before I had 253 00:13:26,480 --> 00:13:29,240 Speaker 1: read about it, I would think someone had made these. Yeah, 254 00:13:29,240 --> 00:13:31,800 Speaker 1: I would think ice cannibals that are waiting on me to, 255 00:13:32,080 --> 00:13:34,959 Speaker 1: you know, to look at their holy structures or perhaps 256 00:13:35,160 --> 00:13:38,360 Speaker 1: I scull them scat and therefore I need to be 257 00:13:38,400 --> 00:13:41,959 Speaker 1: aware that there's a giant creature of ice in my vicinity, right. 258 00:13:42,400 --> 00:13:45,600 Speaker 1: But no, they are not made by humans or by animals. 259 00:13:45,640 --> 00:13:48,440 Speaker 1: That they're very rare, but they've been sighted and photographed 260 00:13:48,480 --> 00:13:50,680 Speaker 1: all over the place everywhere, from the mountains to the 261 00:13:50,679 --> 00:13:56,240 Speaker 1: prairies on very special occasions, because they're they're just one 262 00:13:56,280 --> 00:13:59,600 Speaker 1: of those weird byproducts of the naked laws of physics 263 00:13:59,600 --> 00:14:03,080 Speaker 1: when all the variables are just right, and they really 264 00:14:03,120 --> 00:14:05,439 Speaker 1: do have to be just right. These things don't happen 265 00:14:05,559 --> 00:14:08,199 Speaker 1: very often. But here here's what you do. Oh, by 266 00:14:08,200 --> 00:14:11,359 Speaker 1: the way, the name of them, people call them snow rollers, 267 00:14:11,480 --> 00:14:15,520 Speaker 1: that's the most common. Also snow donuts, but the snow rollers. 268 00:14:15,679 --> 00:14:18,600 Speaker 1: So to get one, you start on the bottom with 269 00:14:18,640 --> 00:14:22,760 Speaker 1: a hard crusty surface of ice or solid snow. Uh 270 00:14:22,800 --> 00:14:25,000 Speaker 1: And it's it's supposed to be hard and crusty so 271 00:14:25,080 --> 00:14:28,440 Speaker 1: that the new falling snow doesn't stick to it very well. 272 00:14:28,600 --> 00:14:31,960 Speaker 1: So you've got this hard, crusty surface and then looser, 273 00:14:32,000 --> 00:14:35,560 Speaker 1: relatively wet snow piling up on top of the hard layer. 274 00:14:36,080 --> 00:14:40,080 Speaker 1: And then you add a force like gravity or just 275 00:14:40,520 --> 00:14:44,440 Speaker 1: the right kind of wind, and whichever one it is. 276 00:14:44,480 --> 00:14:47,520 Speaker 1: If it's gravity pulling it down along a slope or 277 00:14:47,920 --> 00:14:50,080 Speaker 1: wind blowing it across the side, there begins to be 278 00:14:50,120 --> 00:14:53,760 Speaker 1: a lateral movement across the ground and it scoops up 279 00:14:53,800 --> 00:14:56,400 Speaker 1: the layers of the looser, denser snow, which sticks to 280 00:14:56,480 --> 00:15:00,680 Speaker 1: itself but doesn't stick to the harder layer benea it 281 00:15:00,760 --> 00:15:03,400 Speaker 1: starts to roll up along the surface of the hard layer, 282 00:15:03,840 --> 00:15:05,840 Speaker 1: keeps picking up more loose snow as it goes, and 283 00:15:05,880 --> 00:15:10,440 Speaker 1: it essentially is a self forming snowball, like like you'd 284 00:15:10,520 --> 00:15:14,040 Speaker 1: used to make a snowman. Interesting. Okay, so yeah, that 285 00:15:14,360 --> 00:15:15,600 Speaker 1: sounds like the best way to think. But it is 286 00:15:15,640 --> 00:15:19,120 Speaker 1: self forming snowball. Snowball is forming on the surface of harder, 287 00:15:19,720 --> 00:15:23,720 Speaker 1: more compact snow slash ice. Right, So if you are 288 00:15:23,760 --> 00:15:26,520 Speaker 1: ever out wandering about in the snow and you see 289 00:15:26,600 --> 00:15:30,600 Speaker 1: one of these icy Swiss rolls, do not panic it 290 00:15:30,400 --> 00:15:33,080 Speaker 1: is it is not a sign of any looming danger. 291 00:15:33,800 --> 00:15:36,840 Speaker 1: You've just seen the laws of physics in very rare form. 292 00:15:37,680 --> 00:15:41,840 Speaker 1: But I think we should get to the all the 293 00:15:41,960 --> 00:15:44,520 Speaker 1: colors of the snow rain. But I want to ask 294 00:15:44,520 --> 00:15:46,920 Speaker 1: the question, can you paint with all the colors of 295 00:15:46,960 --> 00:15:51,160 Speaker 1: the snowstorm? Because I mean, most of us have only 296 00:15:51,200 --> 00:15:55,000 Speaker 1: seen white snow. I mean, I think it's fairly rare 297 00:15:55,120 --> 00:15:57,400 Speaker 1: to see snow of a different color. But it does 298 00:15:57,440 --> 00:15:59,760 Speaker 1: happen sometimes, right, And of course, once it falls, it 299 00:15:59,760 --> 00:16:04,800 Speaker 1: can become muddied quite literally by by many other things. 300 00:16:04,840 --> 00:16:06,880 Speaker 1: You know, you get to get brownish and blackish snow 301 00:16:06,880 --> 00:16:09,040 Speaker 1: because of the mud puddles. You get yellow snow because 302 00:16:09,040 --> 00:16:11,720 Speaker 1: of the urine you can get you can get red 303 00:16:11,760 --> 00:16:15,000 Speaker 1: snow because of the you know, the sacrifices you're you're 304 00:16:15,040 --> 00:16:18,240 Speaker 1: making to the to the gods and goddesses of spring 305 00:16:18,320 --> 00:16:20,960 Speaker 1: to bring the crops back. Right, But generally speaking the 306 00:16:21,040 --> 00:16:27,080 Speaker 1: stuff falls white. Yeah, but not all the time. So Robert, 307 00:16:27,120 --> 00:16:30,200 Speaker 1: I know you are a fan of the red snows 308 00:16:30,280 --> 00:16:32,960 Speaker 1: of Hell. Oh yes, so I want to hear a 309 00:16:33,000 --> 00:16:35,360 Speaker 1: little bit about this or what's the deal what's going 310 00:16:35,400 --> 00:16:38,280 Speaker 1: on in hell when it snows? Well, of course, in 311 00:16:38,320 --> 00:16:41,400 Speaker 1: this we we're dipping back into the fantasy world, the 312 00:16:41,440 --> 00:16:45,680 Speaker 1: literary world, before we come back into natural world snow accumulation. 313 00:16:46,200 --> 00:16:49,960 Speaker 1: But yeah, if you look into the works of of Dante, 314 00:16:50,000 --> 00:16:54,960 Speaker 1: if you look into particularly Dante's Inferno, you find a 315 00:16:55,000 --> 00:16:58,680 Speaker 1: lot of meteorology. Because Dante was a guy who was 316 00:16:58,720 --> 00:17:01,280 Speaker 1: just interested in everything, and just about everything he was 317 00:17:01,320 --> 00:17:05,800 Speaker 1: interested in found its way into the divine comedy. Uh, 318 00:17:05,840 --> 00:17:08,320 Speaker 1: And so there's a there's a lot of meteor meteorology 319 00:17:08,359 --> 00:17:10,560 Speaker 1: in his work. I do remember a lot of it. Like, 320 00:17:10,760 --> 00:17:13,160 Speaker 1: aren't the people who are on the level of lust 321 00:17:13,240 --> 00:17:17,000 Speaker 1: are constantly blown around by winds that they can't they 322 00:17:17,000 --> 00:17:20,240 Speaker 1: can't stay solid and be constant. Yeah. There there are 323 00:17:20,240 --> 00:17:22,639 Speaker 1: a ton of different examples, and in fact, if anyone 324 00:17:22,680 --> 00:17:25,600 Speaker 1: wants to look into this more, there highly recommend the 325 00:17:25,640 --> 00:17:28,800 Speaker 1: Weather of Hell. A look at the meteorology of Dante's 326 00:17:28,800 --> 00:17:33,879 Speaker 1: Inferno by Randy Serveny, and he he looks at, for instance, 327 00:17:33,880 --> 00:17:37,640 Speaker 1: how Dante seems to use of what would eventually become 328 00:17:37,640 --> 00:17:42,200 Speaker 1: our modern idea of convection and circulation cells. Really, yeah, 329 00:17:42,320 --> 00:17:44,440 Speaker 1: he does a he does a really fun job of 330 00:17:44,440 --> 00:17:48,040 Speaker 1: of lining up these different natural world weather phenomenons and 331 00:17:48,359 --> 00:17:52,600 Speaker 1: the observations of weather in the world that Dante creates 332 00:17:52,640 --> 00:17:54,879 Speaker 1: for us. Well, let's hear what Dante's got for us. 333 00:17:55,200 --> 00:17:57,639 Speaker 1: Can you give me an example? Yeah? Tying into uh 334 00:17:57,880 --> 00:18:03,119 Speaker 1: in today's topic, he mentions in Canto fourteen describing the 335 00:18:03,160 --> 00:18:05,959 Speaker 1: plane of burning sands. This is of course the translation 336 00:18:06,800 --> 00:18:12,000 Speaker 1: over all the sand fell slowly wafting down dilated flakes 337 00:18:12,040 --> 00:18:15,440 Speaker 1: of fire as flakes of snow on alpine summit when 338 00:18:15,480 --> 00:18:18,640 Speaker 1: the wind is hushed, as in the Torrett Indian Climb. 339 00:18:18,760 --> 00:18:23,040 Speaker 1: The sun of Ammon saw upon his warrior band ascending 340 00:18:23,080 --> 00:18:28,400 Speaker 1: solid flames that to the ground came down alright, So 341 00:18:28,760 --> 00:18:32,639 Speaker 1: you know he's talking about some reddish snow. It's kind 342 00:18:32,640 --> 00:18:34,920 Speaker 1: of open new interpretation. You can say, it's just it's 343 00:18:34,960 --> 00:18:36,879 Speaker 1: just it's easy to say, oh, I think he's just 344 00:18:36,880 --> 00:18:38,800 Speaker 1: talking about fire falling out of the sky. But he 345 00:18:38,880 --> 00:18:42,080 Speaker 1: started applying all this meteorology to the to the situation. 346 00:18:42,160 --> 00:18:44,760 Speaker 1: You can say, yeah, there's some sort of red snow 347 00:18:44,840 --> 00:18:48,000 Speaker 1: falling in Hell, which sounds right. Well wait a second, 348 00:18:48,040 --> 00:18:50,520 Speaker 1: hold on, now, how do you have snow in Hell? 349 00:18:50,640 --> 00:18:52,840 Speaker 1: Because I thought Hell was supposed to be really hot. 350 00:18:53,480 --> 00:18:56,200 Speaker 1: That's actually a feature of Dante's Hell, right, that many 351 00:18:56,320 --> 00:18:58,399 Speaker 1: parts of Hell are quite cold. Oh yeah, I mean 352 00:18:58,520 --> 00:19:01,439 Speaker 1: especially the bottomost reaches of Hell. When you get down 353 00:19:01,480 --> 00:19:05,439 Speaker 1: to the frozen lake of Positis, where where Lucifer is imprisoned, 354 00:19:05,600 --> 00:19:08,720 Speaker 1: he's frozen up to his waist in ice. So yeah, 355 00:19:08,760 --> 00:19:10,520 Speaker 1: there's got a it's got a wonderful scene of a 356 00:19:10,520 --> 00:19:12,520 Speaker 1: couple of guys who are frozen up to their necks 357 00:19:12,520 --> 00:19:14,199 Speaker 1: and ice, and one of them is chewing on the 358 00:19:14,240 --> 00:19:16,399 Speaker 1: other one's head. Oh yeah, yeah. And then there are 359 00:19:16,440 --> 00:19:19,960 Speaker 1: individuals whose head is turned upward so that they weep 360 00:19:20,160 --> 00:19:23,800 Speaker 1: for their crimes, and the water pools in the in 361 00:19:23,840 --> 00:19:26,480 Speaker 1: their eye socket, and then the water freezes and the 362 00:19:26,520 --> 00:19:29,680 Speaker 1: expansion of the water in their eye sockets causes them 363 00:19:29,960 --> 00:19:32,520 Speaker 1: even more pain. See that's the kind of like like 364 00:19:32,640 --> 00:19:34,880 Speaker 1: we just a little science the nuggets that Dante threw 365 00:19:34,960 --> 00:19:37,800 Speaker 1: in there, like he knew, he knew how water expanded 366 00:19:37,840 --> 00:19:40,040 Speaker 1: when it froze, and so that ended up in a 367 00:19:40,080 --> 00:19:43,040 Speaker 1: feature of hell. Well, I have great admiration for that. 368 00:19:43,440 --> 00:19:46,119 Speaker 1: So on the subject though, of of red snow, we 369 00:19:46,200 --> 00:19:48,360 Speaker 1: see a lot of different accounts of this as far 370 00:19:48,440 --> 00:19:51,480 Speaker 1: back as perhaps as the third century b C. When 371 00:19:51,520 --> 00:19:54,840 Speaker 1: Aristotle reported on the occurrence of red or blood snow. 372 00:19:55,240 --> 00:19:59,280 Speaker 1: A few centuries later, the Roman historian Plenty the Elder 373 00:19:59,440 --> 00:20:02,879 Speaker 1: originated the idea that the occasional red color and snow 374 00:20:03,040 --> 00:20:06,080 Speaker 1: is essentially like that of rust and metals. So this 375 00:20:06,160 --> 00:20:09,040 Speaker 1: is just old snow and it turns red, it falls. Uh. 376 00:20:09,119 --> 00:20:12,600 Speaker 1: And I love those ancient uh, those ancient explanations for 377 00:20:12,720 --> 00:20:17,520 Speaker 1: things any any time you read those those old old scientists, 378 00:20:17,560 --> 00:20:21,840 Speaker 1: like when they weren't using magic to explain how things happened, 379 00:20:21,840 --> 00:20:24,240 Speaker 1: and they were trying to come up with natural explanations. 380 00:20:24,280 --> 00:20:28,320 Speaker 1: But they and they just weren't there yet. The explanations 381 00:20:28,359 --> 00:20:31,880 Speaker 1: they come up with are always great. Yeah, and uh, 382 00:20:32,040 --> 00:20:35,640 Speaker 1: you know, the historical accounts going from their English. These 383 00:20:35,840 --> 00:20:40,879 Speaker 1: these particular accounts are also mentioned in Serveni's article about 384 00:20:41,320 --> 00:20:45,000 Speaker 1: the about weather and hell Um. English historian the Reverend 385 00:20:45,040 --> 00:20:50,199 Speaker 1: Thomas Short reported some near general Italy red snow that 386 00:20:50,280 --> 00:20:54,640 Speaker 1: fell and quote gave a bloody liquor when squeezed. Gross. Yeah. Uh. 387 00:20:54,760 --> 00:20:58,840 Speaker 1: Seventeen fifty five, a six foot deep blood snowfall is 388 00:20:58,880 --> 00:21:02,760 Speaker 1: reported in the Alps. Eighteen ten, French newspapers reported that 389 00:21:02,840 --> 00:21:05,359 Speaker 1: a shower of red snow, together with a fall of 390 00:21:05,400 --> 00:21:09,080 Speaker 1: insects fell over Paris. H. Yeah, well, you know, ball 391 00:21:09,240 --> 00:21:12,399 Speaker 1: of insects. It was snowing snow that was red and 392 00:21:12,560 --> 00:21:15,120 Speaker 1: insects at the same time. Yeah, exactly. And we'll see, 393 00:21:15,119 --> 00:21:18,800 Speaker 1: as we'll we'll discuss those two could be combined some 394 00:21:18,840 --> 00:21:24,440 Speaker 1: of the same, uh, features of those two phenomena. Residents 395 00:21:24,440 --> 00:21:27,840 Speaker 1: of Alma, Colorado reported a pink snowstorm. And then two 396 00:21:27,840 --> 00:21:31,760 Speaker 1: thousand fifteen, as we'll get into you find a couple 397 00:21:31,800 --> 00:21:34,800 Speaker 1: of different colors of snow occurring in Russia. Orange snow 398 00:21:35,320 --> 00:21:39,960 Speaker 1: in Saratov on the Volga River and blue snow in 399 00:21:40,119 --> 00:21:42,480 Speaker 1: Chelly Banks. Yeah. Actually, I've got some stuff to say 400 00:21:42,480 --> 00:21:44,960 Speaker 1: about that blue snow in a bit, because that one 401 00:21:45,720 --> 00:21:50,880 Speaker 1: it's especially creepy, but then it turns out alarmingly mundane. Um. 402 00:21:50,920 --> 00:21:53,960 Speaker 1: But yeah, So the obvious point we're getting at here 403 00:21:54,000 --> 00:21:57,160 Speaker 1: is that snow is not always white. Sometimes it has 404 00:21:57,200 --> 00:21:59,200 Speaker 1: strange colors, and there are there are a few known 405 00:21:59,320 --> 00:22:02,000 Speaker 1: causes for this, right yeah, Yeah, And a lot of 406 00:22:02,040 --> 00:22:06,399 Speaker 1: it really stems down to condensation nuclei. So this is 407 00:22:06,440 --> 00:22:09,840 Speaker 1: the idea that you have a little a little particles 408 00:22:09,880 --> 00:22:14,399 Speaker 1: and those serve as the as the gathering point for 409 00:22:14,400 --> 00:22:17,679 Speaker 1: for liquid water and then eventual, eventually in formation of 410 00:22:17,720 --> 00:22:22,040 Speaker 1: snow crystals and snow flakes that then fall back to 411 00:22:22,200 --> 00:22:24,000 Speaker 1: the surface of the earth. Okay, so you've got like 412 00:22:24,720 --> 00:22:27,399 Speaker 1: a physical particle of matter up in the air that's 413 00:22:27,440 --> 00:22:30,800 Speaker 1: sort of the seed of the snow snow crystal exactly. Yeah, 414 00:22:30,880 --> 00:22:34,800 Speaker 1: the everything forms around that. So at the heart of 415 00:22:34,800 --> 00:22:39,040 Speaker 1: a snowflake, you you have a particle, and if that 416 00:22:39,160 --> 00:22:41,320 Speaker 1: particle happens to say the if it happens to be 417 00:22:41,440 --> 00:22:44,960 Speaker 1: a reddish sand particle, and then it's it can make 418 00:22:45,040 --> 00:22:49,000 Speaker 1: the snowflake up here pink or red or orange, depending 419 00:22:49,359 --> 00:22:52,600 Speaker 1: and sometimes these are carried from from hundreds of miles away. 420 00:22:53,080 --> 00:22:57,399 Speaker 1: Uh for instance, Uh, there there accounts of colored snow 421 00:22:57,400 --> 00:23:01,440 Speaker 1: falling in Europe where the origin appears to be North Africa. Okay, 422 00:23:01,480 --> 00:23:04,120 Speaker 1: So if there's like a big sandstorm in the Sahara 423 00:23:04,280 --> 00:23:07,800 Speaker 1: or something like that, sand particles lifted up could become 424 00:23:07,880 --> 00:23:10,159 Speaker 1: part of the snow. It gets caught up into the 425 00:23:10,880 --> 00:23:14,960 Speaker 1: rise and fall of of air particles, the big convection 426 00:23:15,000 --> 00:23:20,199 Speaker 1: cells that that serves as a major part of the 427 00:23:20,240 --> 00:23:23,879 Speaker 1: air movements in our weather systems. Now, whatever his scientific credentials, 428 00:23:23,880 --> 00:23:26,960 Speaker 1: I imagine Dante had something a little gorrier in mind. Right. 429 00:23:27,240 --> 00:23:29,840 Speaker 1: Oh yeah, So in if you're wondering what's serving as 430 00:23:29,880 --> 00:23:33,080 Speaker 1: the conversation nuclei in Hell? Well, um, I mean certainly 431 00:23:33,080 --> 00:23:36,840 Speaker 1: there there there are particles of just normal in organic 432 00:23:36,880 --> 00:23:41,719 Speaker 1: matter around. But Serveny argues that the conversation nuclei here 433 00:23:41,760 --> 00:23:44,760 Speaker 1: would be bits of blood and gore evaporated into the 434 00:23:44,800 --> 00:23:49,000 Speaker 1: air from the boiling blood river of Flagius. So there 435 00:23:49,040 --> 00:23:53,199 Speaker 1: you go. It seems fitting the boiling blood river. So 436 00:23:53,280 --> 00:23:56,840 Speaker 1: there's a certain updraft of blood from the boiling river. Yeah, 437 00:23:57,000 --> 00:24:00,600 Speaker 1: all these people are boiled alive. It the water of 438 00:24:00,640 --> 00:24:02,880 Speaker 1: the river itself is blood, so all of that ends 439 00:24:02,920 --> 00:24:05,240 Speaker 1: up evaporating upward and then it has to come back down, 440 00:24:05,520 --> 00:24:08,359 Speaker 1: perhaps in the form of rain or snow. Now this 441 00:24:08,440 --> 00:24:10,480 Speaker 1: is a side note, Robert, but I do want to 442 00:24:10,480 --> 00:24:13,120 Speaker 1: get your opinion on this. Why do you think there 443 00:24:13,160 --> 00:24:18,359 Speaker 1: has never been a great movie version of Dante's Inferno made? Oh, 444 00:24:18,400 --> 00:24:21,520 Speaker 1: I mean the mist regional reasons. I mean, the old 445 00:24:21,520 --> 00:24:24,199 Speaker 1: silent one is kind of fun to watch, but I 446 00:24:24,240 --> 00:24:27,000 Speaker 1: think in large part because it's just so much content 447 00:24:27,440 --> 00:24:30,879 Speaker 1: that has to be crunched there. It's it's so steeped 448 00:24:31,119 --> 00:24:36,399 Speaker 1: in in medieval culture, in church history, in Dante's own 449 00:24:36,760 --> 00:24:39,600 Speaker 1: personal angst that I mean, how do you how do 450 00:24:39,640 --> 00:24:42,240 Speaker 1: you adapt that and and make it make it work 451 00:24:42,240 --> 00:24:44,359 Speaker 1: on the screen. Yeah. Another part of it, though, I 452 00:24:44,359 --> 00:24:46,440 Speaker 1: remember a friend told me once and it really stuck 453 00:24:46,440 --> 00:24:48,199 Speaker 1: with me, is it would be impossible to get an 454 00:24:48,320 --> 00:24:51,760 Speaker 1: R rating. How could you? How could you do it 455 00:24:51,840 --> 00:24:55,120 Speaker 1: without getting an unrated film which nobody wants to release. Yeah. Yeah, 456 00:24:55,119 --> 00:24:58,680 Speaker 1: there's a lot of graphic content, and they're particularly in Inferno. 457 00:24:58,880 --> 00:25:00,679 Speaker 1: But then there's also some just and stuff, like a 458 00:25:00,680 --> 00:25:04,320 Speaker 1: demon playing a trumpet with its butt. That's great poppy satan, 459 00:25:04,400 --> 00:25:07,560 Speaker 1: poppy satan. Yeah, nobody knows what it means. It's great. 460 00:25:07,920 --> 00:25:11,360 Speaker 1: Oh man, that could be a fun episode. Sometimes untranslatable phrases. 461 00:25:12,320 --> 00:25:16,040 Speaker 1: Uh well, okay, whatever is going on in Hell. As 462 00:25:16,040 --> 00:25:19,439 Speaker 1: we've discussed, there is sometimes red, orange, yellow snow in 463 00:25:19,480 --> 00:25:22,800 Speaker 1: the real world. But dust particles are not the only 464 00:25:22,840 --> 00:25:27,320 Speaker 1: scientific explanation for multicolored snow that sometimes looks like it 465 00:25:27,400 --> 00:25:30,119 Speaker 1: might be bleeding or full of vomit, or full of 466 00:25:30,200 --> 00:25:34,040 Speaker 1: something else gross, full of full of vile from the underworld, 467 00:25:34,400 --> 00:25:41,600 Speaker 1: because sometimes snow itself is actually an ecosystem. Yeah, this 468 00:25:41,680 --> 00:25:44,080 Speaker 1: is really phenomenal, and it in a way it ties 469 00:25:44,080 --> 00:25:48,200 Speaker 1: in nicely with Hell because you have essentially organic material 470 00:25:48,280 --> 00:25:52,040 Speaker 1: serving as the nuclad right. So, as explored in the 471 00:25:52,160 --> 00:25:56,240 Speaker 1: Scientific American article Wonderful Things, colon, don't eat the pink snow. 472 00:25:57,119 --> 00:26:00,480 Speaker 1: You have to consider numerous different species of snow algae, 473 00:26:00,560 --> 00:26:03,639 Speaker 1: including one particular one of note here, and that's the 474 00:26:03,800 --> 00:26:08,919 Speaker 1: green alergae species uh Clamo Dominus novellis. It's a green 475 00:26:09,520 --> 00:26:12,800 Speaker 1: cryophilic cryots that means it likes ice or likes cold, 476 00:26:13,080 --> 00:26:16,840 Speaker 1: likes the cold, likes the ice. Cryophilic algae that thrives 477 00:26:16,880 --> 00:26:19,600 Speaker 1: in freezing water and at the center of a snowflake. 478 00:26:19,640 --> 00:26:23,879 Speaker 1: Its zygote form depends on a red carrotinoid pigment to 479 00:26:23,960 --> 00:26:27,400 Speaker 1: protect it from u V bombardment. Oh wow, Yeah, when 480 00:26:27,480 --> 00:26:31,200 Speaker 1: ben beta carotene incidentally performs a similar duty absorbing u 481 00:26:31,280 --> 00:26:33,520 Speaker 1: V inside the human eye. So this has been something 482 00:26:33,560 --> 00:26:37,159 Speaker 1: just completely crazy and unique to this species. Yeah, so 483 00:26:37,200 --> 00:26:39,040 Speaker 1: this is a sort of would you call this an 484 00:26:39,040 --> 00:26:41,280 Speaker 1: extreme aphile? It seems like it would probably meet the 485 00:26:41,680 --> 00:26:44,879 Speaker 1: classification because, I mean, living in snow that's not a 486 00:26:45,000 --> 00:26:48,880 Speaker 1: very friendly environment, and you so one of the things 487 00:26:48,960 --> 00:26:51,080 Speaker 1: pointed out here is that it has to protect itself 488 00:26:51,080 --> 00:26:54,400 Speaker 1: from UVY bombardment. Living on snow is kind of like, 489 00:26:54,920 --> 00:26:57,200 Speaker 1: I don't know, if you wanted to just like live 490 00:26:57,359 --> 00:27:01,560 Speaker 1: on black asphalt or something. Uh, it's you're you're just 491 00:27:01,720 --> 00:27:04,480 Speaker 1: bombarded by the sunlight and I guess on the snow 492 00:27:04,600 --> 00:27:08,439 Speaker 1: it's reflecting black back because the snow is white. Um, 493 00:27:08,520 --> 00:27:10,359 Speaker 1: and then of course it's going to be very cold. 494 00:27:10,440 --> 00:27:13,240 Speaker 1: I can imagine that. It's where do you get your 495 00:27:13,320 --> 00:27:16,119 Speaker 1: your nutrients from if you need like mineral nutrients and 496 00:27:16,160 --> 00:27:18,119 Speaker 1: you're just sitting in the snow. That seems like a 497 00:27:18,240 --> 00:27:21,359 Speaker 1: nutrient poor environment. Yeah, it seems like a very rough 498 00:27:21,400 --> 00:27:25,000 Speaker 1: place to to carve out your your your little corner 499 00:27:25,000 --> 00:27:29,960 Speaker 1: of life, right, But apparently clamo dominos don't care. These uh, 500 00:27:30,000 --> 00:27:33,400 Speaker 1: these algae are I don't know they're they're they're tough 501 00:27:33,480 --> 00:27:37,640 Speaker 1: little buddies, but they do bring us a wonderful uh 502 00:27:37,840 --> 00:27:40,280 Speaker 1: site from time to time when people come across these 503 00:27:40,320 --> 00:27:42,520 Speaker 1: things and they're not prepared for it. They haven't read 504 00:27:42,560 --> 00:27:45,400 Speaker 1: these articles, they don't know exactly what it is. When 505 00:27:45,400 --> 00:27:48,760 Speaker 1: they encounter, for example, a snow bank on a mountain 506 00:27:48,800 --> 00:27:52,040 Speaker 1: side that just looks like it's full of blood, yeah, 507 00:27:52,320 --> 00:27:56,640 Speaker 1: or what happened here? Um? Or a delicious watermelon icy 508 00:27:56,760 --> 00:28:00,280 Speaker 1: that apparently they're often referred to as watermelon snows. Yeah, 509 00:28:00,280 --> 00:28:04,080 Speaker 1: when she scoop them up and taste it, well, I'll 510 00:28:04,119 --> 00:28:07,200 Speaker 1: I'll let you feel the eating of the watermelon snow. 511 00:28:07,240 --> 00:28:10,399 Speaker 1: But in terms of encountering it, you do tend to 512 00:28:10,480 --> 00:28:13,600 Speaker 1: encounter it on a permanent snowfields and sunny dry areas, 513 00:28:13,600 --> 00:28:16,720 Speaker 1: so the snow then ends up blushing, is melting, erosion 514 00:28:16,720 --> 00:28:20,760 Speaker 1: and evaporation occur, and then someone finds it and they say, hey, 515 00:28:20,800 --> 00:28:23,760 Speaker 1: maybe I'll have a bite of that. What happens. Well, apparently, 516 00:28:24,080 --> 00:28:29,439 Speaker 1: according to a couple of experts, it has significant laxative properties. 517 00:28:30,080 --> 00:28:33,400 Speaker 1: So the watermelon snow will will send you a run 518 00:28:33,400 --> 00:28:37,720 Speaker 1: into the nearest outhouse, which which may be especially troubling 519 00:28:37,720 --> 00:28:40,280 Speaker 1: if you're up in a mountain pass somewhere and it's 520 00:28:40,320 --> 00:28:42,440 Speaker 1: all bundled up for the winter, probably nowhere to go. 521 00:28:42,480 --> 00:28:46,600 Speaker 1: So pink snow probably begets uh, brown snow or black 522 00:28:46,640 --> 00:28:52,000 Speaker 1: snow depending. That's gross. Yeah, but but enough about brown snow. 523 00:28:52,360 --> 00:28:54,400 Speaker 1: How about how about a little blue snow for us? 524 00:28:54,400 --> 00:28:56,800 Speaker 1: We mentioned it earlier, you mentioned that blue snow. So 525 00:28:57,040 --> 00:29:01,040 Speaker 1: in February in the city of Tellia, Beans for Russia, 526 00:29:01,520 --> 00:29:05,719 Speaker 1: people started to see something alarming. It was bright blue snow. 527 00:29:05,800 --> 00:29:09,040 Speaker 1: And this is not just the way ice sometimes looks 528 00:29:09,080 --> 00:29:11,040 Speaker 1: like a powder blue and in the right kind of 529 00:29:11,120 --> 00:29:13,840 Speaker 1: light or the right kind of packing density of the ice. 530 00:29:13,880 --> 00:29:17,240 Speaker 1: I don't know. You've probably seen glaciers sometimes it look blue. Now, 531 00:29:17,280 --> 00:29:21,160 Speaker 1: this was snow that was bright blue, and easter egg 532 00:29:21,200 --> 00:29:24,400 Speaker 1: blue and blue. Just remind everyone blue is not a 533 00:29:24,480 --> 00:29:28,760 Speaker 1: color you encounter with tremendous frequency in the natural world. 534 00:29:29,040 --> 00:29:32,200 Speaker 1: Is the sky, yes, And and there's some that are 535 00:29:32,480 --> 00:29:34,960 Speaker 1: that we don't even see it that much in the sky. Uh, 536 00:29:35,560 --> 00:29:38,680 Speaker 1: a separate tangent that. But but yeah, in terms of 537 00:29:38,720 --> 00:29:41,320 Speaker 1: just finding oh this is this has the pigment blue 538 00:29:41,320 --> 00:29:44,000 Speaker 1: in it, you don't find it much. So Yeah, the 539 00:29:44,040 --> 00:29:46,400 Speaker 1: city in Russia, you've got this easter egg blue snow. 540 00:29:46,840 --> 00:29:49,120 Speaker 1: Residents claim that when they walk through the areas of 541 00:29:49,120 --> 00:29:52,080 Speaker 1: the blue snow, they experienced sore throats and could taste 542 00:29:52,080 --> 00:29:56,280 Speaker 1: a sweetness in the air. That's alarming. Uh. And Chillia 543 00:29:56,320 --> 00:30:00,000 Speaker 1: Ben unfortunately is no stranger to weird stuff falling from 544 00:30:00,040 --> 00:30:03,280 Speaker 1: the sky. They've had there a number of troubling events there. 545 00:30:03,960 --> 00:30:05,960 Speaker 1: One of them was that it was the part of 546 00:30:06,040 --> 00:30:10,080 Speaker 1: Russia that was closest to meteor event, the super Bowl 547 00:30:10,160 --> 00:30:14,200 Speaker 1: eight event, where a meteor from space inner Earth's atmosphere 548 00:30:14,240 --> 00:30:16,959 Speaker 1: at this really high velocity at a very shallow angle 549 00:30:17,320 --> 00:30:21,080 Speaker 1: and then exploded in a gigantic air bursts that was 550 00:30:21,200 --> 00:30:24,520 Speaker 1: brighter than the sun, and it shattered windows all throughout 551 00:30:24,520 --> 00:30:27,960 Speaker 1: the surrounding area, caused lots of injuries. It was a 552 00:30:28,040 --> 00:30:34,400 Speaker 1: serious meteorological or not meteorological, a serious space object event. Yeah. 553 00:30:34,440 --> 00:30:37,680 Speaker 1: And then I made some tremendous footage too, since so 554 00:30:37,760 --> 00:30:42,000 Speaker 1: many drivers in Russia have the dashboard cameras to protect themselves. 555 00:30:42,520 --> 00:30:46,000 Speaker 1: We ended up seeing this tremendous footage of this, uh, 556 00:30:46,080 --> 00:30:49,760 Speaker 1: this object searing across the sky. Yeah, so that they'd 557 00:30:49,760 --> 00:30:52,400 Speaker 1: had they'd had the sky explode just a couple of 558 00:30:52,440 --> 00:30:55,600 Speaker 1: years before, and then they got the blue snow. So 559 00:30:55,920 --> 00:30:59,840 Speaker 1: was the blue snow more doom from space? Probably not, 560 00:31:00,080 --> 00:31:02,880 Speaker 1: because in this case there was actually a fairly mundane 561 00:31:02,920 --> 00:31:05,400 Speaker 1: but still kind of creepy explanation. There was a local 562 00:31:05,480 --> 00:31:10,320 Speaker 1: food product manufacturer called Vtex, and they admitted through a 563 00:31:10,360 --> 00:31:14,000 Speaker 1: spokesperson that they essentially they had a spill. They had 564 00:31:14,000 --> 00:31:17,440 Speaker 1: a chemical spill. They spilled a bunch of powdered easter 565 00:31:17,520 --> 00:31:21,800 Speaker 1: egg die and the powdered die got into the ventilation 566 00:31:21,920 --> 00:31:25,120 Speaker 1: system and then it was expelled into the outside air 567 00:31:25,200 --> 00:31:29,600 Speaker 1: and eventually settled into the snow, dyeing it blue. That's all. 568 00:31:31,640 --> 00:31:37,280 Speaker 1: But apparently when you live in Russia, having weird colored 569 00:31:37,320 --> 00:31:41,680 Speaker 1: snow happens pretty frequently, I mean early, maybe not pretty frequently, 570 00:31:41,720 --> 00:31:44,440 Speaker 1: more frequently than than it seems to in other places, 571 00:31:44,800 --> 00:31:48,880 Speaker 1: because there are also stories of a Siberian city in 572 00:31:48,960 --> 00:31:56,040 Speaker 1: Russia having black snow blacks snow. Well that that of course, 573 00:31:56,040 --> 00:32:00,680 Speaker 1: that instantly brings to mind some possible explanations in terms 574 00:32:00,720 --> 00:32:04,480 Speaker 1: of just thinking, well, what sends black particles up into 575 00:32:04,480 --> 00:32:07,640 Speaker 1: the air burning? Of course of course, yeah, so it's 576 00:32:07,680 --> 00:32:11,600 Speaker 1: not the it's not the correlate of black sunshine, which 577 00:32:11,720 --> 00:32:14,000 Speaker 1: was my first guest. You know, you see black snow, 578 00:32:14,040 --> 00:32:18,040 Speaker 1: I'm thinking maybe they're filming a Mastodon music video nearby, 579 00:32:18,160 --> 00:32:20,640 Speaker 1: and so like, the snow is coming off the peaks 580 00:32:20,640 --> 00:32:24,080 Speaker 1: of Mountain Gloom Max and Caughton across wind. But but 581 00:32:24,200 --> 00:32:26,400 Speaker 1: it wasn't that, it wasn't a special effect. It was 582 00:32:26,440 --> 00:32:31,720 Speaker 1: an accidental byproduct of industry or actually we would say 583 00:32:31,960 --> 00:32:34,840 Speaker 1: not industry but power production. In this case, though it 584 00:32:34,920 --> 00:32:38,880 Speaker 1: happened in the Siberian city of Omsk, which is apparently 585 00:32:38,920 --> 00:32:41,600 Speaker 1: an industrial center. That the first story I heard about 586 00:32:41,640 --> 00:32:46,040 Speaker 1: this was in the Moscow Times, reported in December, and 587 00:32:46,080 --> 00:32:49,840 Speaker 1: they said in the Siberian city of twice in one 588 00:32:49,920 --> 00:32:52,720 Speaker 1: week the city was covered in black snow, and apparently 589 00:32:52,760 --> 00:32:55,320 Speaker 1: the locals were given lots of assurances the black snow 590 00:32:55,400 --> 00:32:58,120 Speaker 1: does not present a health risk, don't worry about the 591 00:32:58,160 --> 00:33:01,840 Speaker 1: black snow, just go about business. The best lead at 592 00:33:01,840 --> 00:33:04,880 Speaker 1: the time to explain it was that they said that 593 00:33:05,280 --> 00:33:09,640 Speaker 1: local prosecutors had begun they began investigating a couple of 594 00:33:09,680 --> 00:33:12,840 Speaker 1: local businesses. One was a coal producer and the other 595 00:33:12,880 --> 00:33:15,880 Speaker 1: one was a thermal power station known as Thermal Power 596 00:33:15,920 --> 00:33:19,600 Speaker 1: Station Number five. And then they reported again this was 597 00:33:19,640 --> 00:33:23,480 Speaker 1: also in the Moscow Times in February, that the black 598 00:33:23,520 --> 00:33:26,239 Speaker 1: snow was back. It was back in in skin. This 599 00:33:26,280 --> 00:33:29,160 Speaker 1: time they reported that it was traceable to air pollution 600 00:33:29,680 --> 00:33:32,760 Speaker 1: from the city's thermal and electrical power plants. So apparently, 601 00:33:32,760 --> 00:33:36,520 Speaker 1: when it's very cold, the coldest times of the year, 602 00:33:36,520 --> 00:33:39,760 Speaker 1: they really crank up the engines at the thermal power 603 00:33:39,800 --> 00:33:44,960 Speaker 1: plants and this causes extra unfiltered atmospheric pollutants to get 604 00:33:44,960 --> 00:33:47,680 Speaker 1: out into the air condense and then fall down in 605 00:33:47,720 --> 00:33:51,360 Speaker 1: the snow and cover the city in this this scary 606 00:33:51,400 --> 00:33:54,920 Speaker 1: black snow that reminds me of some of the some 607 00:33:55,000 --> 00:33:58,560 Speaker 1: of the ideas I've read about a theoretical nuclear winter 608 00:33:59,240 --> 00:34:04,400 Speaker 1: in which you've had multiple nuclear devices detonate over large 609 00:34:04,400 --> 00:34:07,720 Speaker 1: population centers, and of course it ends up uh possibly 610 00:34:08,360 --> 00:34:13,320 Speaker 1: serving as a sarcophagus for the earth um and preventing 611 00:34:13,360 --> 00:34:16,160 Speaker 1: the sunlight from from warming the world as it should. 612 00:34:16,480 --> 00:34:18,399 Speaker 1: But I've also read that you would have. You might 613 00:34:18,440 --> 00:34:20,920 Speaker 1: have so much material burnt up in those cities, those 614 00:34:20,960 --> 00:34:26,440 Speaker 1: centers of population, both people and just buildings and life 615 00:34:26,440 --> 00:34:30,560 Speaker 1: itself there, that you would have black or gray snows falling, 616 00:34:30,600 --> 00:34:34,720 Speaker 1: just the ash from those incinerations. Thanks for cheering us. 617 00:34:34,080 --> 00:34:38,200 Speaker 1: Uh yeah. So anyway, the thermal power station involved in 618 00:34:38,239 --> 00:34:42,240 Speaker 1: the story said they said they'd get a new filter. Okay, 619 00:34:42,360 --> 00:34:46,080 Speaker 1: all right, just turns out, yeah, we need a new filter. 620 00:34:46,520 --> 00:34:49,040 Speaker 1: We'll get that replaced. Okay. So we've talked about the 621 00:34:49,040 --> 00:34:51,680 Speaker 1: many colors of snow that sometimes crop up on Earth, 622 00:34:51,719 --> 00:34:54,719 Speaker 1: but it's all still Earth snow. We've mentioned hell snow 623 00:34:54,760 --> 00:34:56,480 Speaker 1: a little bit, but but I want to hear about 624 00:34:56,520 --> 00:35:00,800 Speaker 1: some real alien snow, Like, does it snow on Mars? 625 00:35:00,920 --> 00:35:04,280 Speaker 1: Does it snow on other planets? What what happens beyond 626 00:35:04,360 --> 00:35:07,279 Speaker 1: the bounds of our little blue marble. Well, here's what 627 00:35:07,400 --> 00:35:10,840 Speaker 1: we know, um, and I'm just gonna go through some 628 00:35:10,840 --> 00:35:13,879 Speaker 1: some planets here, some also some some moons in our 629 00:35:13,920 --> 00:35:17,560 Speaker 1: solar system and discuss just what might be falling that 630 00:35:17,840 --> 00:35:21,759 Speaker 1: at least resembles snow. Okay, let's start with Mars. We 631 00:35:21,800 --> 00:35:23,680 Speaker 1: already know what's going on in Earth, but on Mars, 632 00:35:23,719 --> 00:35:28,600 Speaker 1: in the polar regions, you'll find carbon dioxide crystal snow. Uh, 633 00:35:28,680 --> 00:35:31,279 Speaker 1: but not in the form of traditional snowflakes, but more 634 00:35:31,280 --> 00:35:35,160 Speaker 1: in the form of cubo octahedrons. And so these are 635 00:35:35,200 --> 00:35:41,279 Speaker 1: these are they have eight triangular faces and six square faces. Okay, wait, wait, 636 00:35:41,320 --> 00:35:44,319 Speaker 1: hold on, So it carbon dioxide snow. That would mean 637 00:35:44,360 --> 00:35:47,800 Speaker 1: it's snowing dry ice, right if dry ice is frozen 638 00:35:47,800 --> 00:35:52,040 Speaker 1: carbon dioxide, essentially, Yeah, that's that's my reta. That's messed up. 639 00:35:53,520 --> 00:35:56,600 Speaker 1: But if you go on on over to Jupiter, if 640 00:35:56,600 --> 00:36:01,520 Speaker 1: you visit the Jovian moon Io, you'll find sulfur dioxide snow. Okay, 641 00:36:01,520 --> 00:36:05,920 Speaker 1: So molten sulfur blasts out of the Moon's many active volcanoes, 642 00:36:06,000 --> 00:36:09,560 Speaker 1: it freezes in space and it falls back down as 643 00:36:09,600 --> 00:36:13,120 Speaker 1: as fluffy yellow snow. That's sick. I Owe is a 644 00:36:13,239 --> 00:36:16,479 Speaker 1: really cool moon, by the way, Everybody, when whenever people 645 00:36:16,520 --> 00:36:19,160 Speaker 1: are talking about the moons of Jupiter, Europa gets all 646 00:36:19,239 --> 00:36:22,919 Speaker 1: the attention because it's got those subterranean oceans. You think 647 00:36:22,920 --> 00:36:25,359 Speaker 1: you might find life there or something like that. But 648 00:36:25,360 --> 00:36:28,080 Speaker 1: but i Owe is worth a look. It is a 649 00:36:28,160 --> 00:36:32,239 Speaker 1: volatile volcanic hellscape of a planet that's really beautiful and 650 00:36:32,360 --> 00:36:36,400 Speaker 1: very interesting. Indeed. Now, if you head on out the Saturn, 651 00:36:36,800 --> 00:36:40,120 Speaker 1: you can visit in Sladus, and here you'll find water 652 00:36:40,200 --> 00:36:43,640 Speaker 1: and ammonious snow, thanks to water and ammonia geysers in 653 00:36:43,640 --> 00:36:47,239 Speaker 1: the south polar region that blast their content hundreds of 654 00:36:47,280 --> 00:36:50,239 Speaker 1: miles into space, so far that most of it doesn't 655 00:36:50,280 --> 00:36:53,719 Speaker 1: even come back down again. It leaves in Sladus and 656 00:36:53,960 --> 00:36:58,760 Speaker 1: eventually for forms part of Saturn's e ring. But what 657 00:36:58,760 --> 00:37:02,080 Speaker 1: whatever doesn't venture out to the ear ring falls back 658 00:37:02,080 --> 00:37:05,800 Speaker 1: down as powdery snow. And this is crazy. The snow 659 00:37:05,840 --> 00:37:10,319 Speaker 1: doesn't accumulate with any real degree of speed, but it's 660 00:37:10,320 --> 00:37:14,799 Speaker 1: been falling so long in certain regions of Enceladus for 661 00:37:14,880 --> 00:37:18,319 Speaker 1: millions of years, So in places we suspect that you 662 00:37:18,400 --> 00:37:22,800 Speaker 1: have hundred meter deep um snow drifts of this water 663 00:37:22,840 --> 00:37:27,720 Speaker 1: and ammonious snow. So what would happen if you landed 664 00:37:27,760 --> 00:37:29,800 Speaker 1: on one of those snow drifts? Would you just sink 665 00:37:29,880 --> 00:37:33,080 Speaker 1: into it? Ah? Don't? Yeah? Maybe because it's supposedly pretty 666 00:37:33,080 --> 00:37:36,200 Speaker 1: powdery stuff. Yeah I wouldn't. I don't. I don't. I 667 00:37:36,200 --> 00:37:38,800 Speaker 1: don't think the sense that it would be particularly packed. 668 00:37:39,080 --> 00:37:40,719 Speaker 1: All right, if we head on out a little further 669 00:37:40,760 --> 00:37:44,520 Speaker 1: into the Solar system, will visit Neptune, specifically, will visit 670 00:37:44,600 --> 00:37:49,400 Speaker 1: the Neptunian Neptunian moon Triton. All right, and here nitrogen 671 00:37:49,480 --> 00:37:53,200 Speaker 1: and methane snow falls in the southern polar region. Uh. 672 00:37:53,280 --> 00:37:57,400 Speaker 1: And it's pink snow. So potentially this this could be 673 00:37:57,400 --> 00:38:00,960 Speaker 1: what's going on in the cat and Hat comes back. Now, 674 00:38:00,960 --> 00:38:04,160 Speaker 1: will it give you the runs? Um? I don't think 675 00:38:04,160 --> 00:38:06,400 Speaker 1: it would have. Uh. I don't think it would be 676 00:38:06,440 --> 00:38:09,319 Speaker 1: good for you. I would not eat it if you 677 00:38:09,440 --> 00:38:12,759 Speaker 1: visit Triton in the foreseef the future. Uh. It's also 678 00:38:12,800 --> 00:38:15,920 Speaker 1: worth noting that this snow is also caused by geysers, 679 00:38:16,280 --> 00:38:20,560 Speaker 1: so similar to what we've talked about on on Enceladus. 680 00:38:21,200 --> 00:38:24,520 Speaker 1: And then finally, if you venture out the Pluto, you 681 00:38:24,640 --> 00:38:28,239 Speaker 1: might get some snow there as well. Hubble space telescope 682 00:38:28,760 --> 00:38:34,160 Speaker 1: findings originally suggested that that the Pluto experiences snows of nitrogen, 683 00:38:34,239 --> 00:38:38,960 Speaker 1: methane and possibly carbon monoxide, and New Horizons are recent 684 00:38:39,719 --> 00:38:43,319 Speaker 1: evidence seems to support the idea. But but we're talking 685 00:38:43,360 --> 00:38:47,359 Speaker 1: a pretty pretty distant location in our solar system here. Yeah. 686 00:38:47,400 --> 00:38:50,560 Speaker 1: I remember reading about that when the New Horizons data 687 00:38:50,680 --> 00:38:52,560 Speaker 1: was first coming back, that they were they were talking 688 00:38:52,600 --> 00:38:55,520 Speaker 1: about what types of particles you would have falling down 689 00:38:55,560 --> 00:38:58,239 Speaker 1: on the surface of Pluto, which again was one of 690 00:38:58,239 --> 00:39:00,360 Speaker 1: the things that surprised me about Pluto, but because I 691 00:39:00,400 --> 00:39:03,239 Speaker 1: guess for some reason, I thought of it as just 692 00:39:03,560 --> 00:39:06,840 Speaker 1: absolutely dead. Yeah, just like a place kind of like 693 00:39:06,880 --> 00:39:09,600 Speaker 1: the Moon where just not much is going on. Yeah. 694 00:39:09,640 --> 00:39:11,560 Speaker 1: I feel like our idea of of Pluto has been 695 00:39:11,600 --> 00:39:15,320 Speaker 1: so reduced in recent years, given our increased knowledge about 696 00:39:15,320 --> 00:39:17,359 Speaker 1: what's there and what might be there, that we just 697 00:39:17,640 --> 00:39:19,640 Speaker 1: we don't think of it having any kind of systems 698 00:39:19,640 --> 00:39:23,000 Speaker 1: in place. You just think of it is this dead rock. Yeah, 699 00:39:23,080 --> 00:39:26,160 Speaker 1: but but not so. The new findings about Pluto from 700 00:39:26,160 --> 00:39:29,759 Speaker 1: New Horizons are very interesting, all right, Joe. We just 701 00:39:29,840 --> 00:39:33,080 Speaker 1: traveled pretty far away from from Earth, all the way 702 00:39:33,080 --> 00:39:35,680 Speaker 1: out to to the to the far reaches of our 703 00:39:35,680 --> 00:39:38,680 Speaker 1: solar system. So it makes sense that at this point 704 00:39:38,680 --> 00:39:42,080 Speaker 1: in the podcast, we've moved, we've moved further and further 705 00:39:42,160 --> 00:39:46,520 Speaker 1: away from our original starting point. Let's get into some 706 00:39:46,640 --> 00:39:50,480 Speaker 1: conspiracy theories about snow, which, oh, this was also new 707 00:39:50,560 --> 00:39:52,480 Speaker 1: to me. I really didn't think about the fact that 708 00:39:52,480 --> 00:39:55,960 Speaker 1: there would be conspiracy theories about the content of our snow. 709 00:39:56,120 --> 00:39:59,240 Speaker 1: Of course, there are because they're they're always conspiracy theories 710 00:39:59,239 --> 00:40:02,000 Speaker 1: about whether for some reason, whether is a big thing 711 00:40:02,120 --> 00:40:05,960 Speaker 1: and conspiracy thing. Really, yeah, anytime there's a strange weather event, 712 00:40:06,080 --> 00:40:09,160 Speaker 1: and so of course big snowstorms are no different. There 713 00:40:09,200 --> 00:40:13,160 Speaker 1: have been conspiracy theories about snow storms, and one of 714 00:40:13,200 --> 00:40:18,239 Speaker 1: them is the Atlanta Snowmageddon that happened in January. We're 715 00:40:18,239 --> 00:40:20,680 Speaker 1: bringing it all back home, so if you don't know, 716 00:40:20,920 --> 00:40:24,680 Speaker 1: Robert and Kristen and I we record out of Atlanta, Georgia, 717 00:40:25,239 --> 00:40:32,840 Speaker 1: and in January, Atlanta, Georgia was essentially smashed into pieces 718 00:40:32,960 --> 00:40:36,120 Speaker 1: by two inches of snow. Yeah, just completely shut down. 719 00:40:36,520 --> 00:40:39,319 Speaker 1: Um and a lot of it had to do with 720 00:40:39,360 --> 00:40:43,320 Speaker 1: this preparation for it and how everyone, Includingland City responded 721 00:40:43,360 --> 00:40:46,799 Speaker 1: initially in terms of shutting things down, the fact that 722 00:40:46,840 --> 00:40:49,799 Speaker 1: there are more cars in Atlanta than there are atoms. 723 00:40:51,400 --> 00:40:54,359 Speaker 1: I mean, it was a big problem. The freeways were 724 00:40:54,400 --> 00:40:56,480 Speaker 1: jammed with cars that were stuck in the snow. People 725 00:40:56,520 --> 00:40:59,080 Speaker 1: were freaking out of it, trying to trying to find 726 00:40:59,080 --> 00:41:01,440 Speaker 1: ways to get home. A lot of people couldn't. They 727 00:41:01,440 --> 00:41:04,920 Speaker 1: were stuck in a McDonald's overnight or something like that. 728 00:41:05,000 --> 00:41:07,600 Speaker 1: I mean, it was a it was a big problem. 729 00:41:08,320 --> 00:41:10,600 Speaker 1: I don't know what happened to you, Robert did Did 730 00:41:10,640 --> 00:41:12,799 Speaker 1: you get home? All right? Yeah? We we didn't have 731 00:41:12,840 --> 00:41:16,279 Speaker 1: any problem. Uh we were just at home with our 732 00:41:16,280 --> 00:41:20,640 Speaker 1: son during that time, and uh he was just amazed 733 00:41:20,680 --> 00:41:22,880 Speaker 1: by the snow and didn't really like going out in it. 734 00:41:23,000 --> 00:41:26,360 Speaker 1: But uh, yeah, I was very lucky too. It was 735 00:41:26,480 --> 00:41:29,319 Speaker 1: very fortunate I got home and didn't really encounter any 736 00:41:29,320 --> 00:41:31,520 Speaker 1: major problems. But we all, I think we all knew 737 00:41:31,520 --> 00:41:35,080 Speaker 1: people who were either stuck at work or stuck you know, 738 00:41:35,120 --> 00:41:38,440 Speaker 1: even worse somewhere between work and home, or caught at 739 00:41:38,440 --> 00:41:40,839 Speaker 1: the airport. They were just like everybody had it, had 740 00:41:40,840 --> 00:41:44,640 Speaker 1: those stories at least in their initial orbit. Yeah. But 741 00:41:44,840 --> 00:41:47,000 Speaker 1: for a lot of people, this was not just a 742 00:41:47,040 --> 00:41:50,600 Speaker 1: major uh does that a major you know weather event 743 00:41:50,680 --> 00:41:53,439 Speaker 1: and problem in the city. It was a big wake 744 00:41:53,560 --> 00:41:56,200 Speaker 1: up sheep all moment. You know. They were like, get 745 00:41:56,239 --> 00:41:59,160 Speaker 1: your kids to stop making snow angels because that snow 746 00:41:59,320 --> 00:42:06,440 Speaker 1: is fake and it's c I a satanism. Huh Okay, well, 747 00:42:06,280 --> 00:42:08,359 Speaker 1: well let's hear this. Let's hear that the argument for 748 00:42:08,880 --> 00:42:12,520 Speaker 1: why Atlanta was subjected to fake snow and how how 749 00:42:12,520 --> 00:42:14,120 Speaker 1: would you even know? How do you prove that this 750 00:42:14,239 --> 00:42:17,160 Speaker 1: is fake snow as opposed to real snow. Well, the 751 00:42:17,239 --> 00:42:20,840 Speaker 1: general principle behind this conspiracy theory might be older, but 752 00:42:21,040 --> 00:42:24,960 Speaker 1: a wave of videos emerged in the winner of and 753 00:42:25,160 --> 00:42:28,520 Speaker 1: the standard setup goes like this. A guy gets his camera, 754 00:42:28,600 --> 00:42:31,239 Speaker 1: he goes outside, and he scoops up some snow from 755 00:42:31,239 --> 00:42:34,040 Speaker 1: his yard, and he brings it inside and he rolls 756 00:42:34,080 --> 00:42:36,520 Speaker 1: it in his palm to pack it into a little 757 00:42:36,520 --> 00:42:39,800 Speaker 1: snowball or a little snow tube, and then he holds 758 00:42:39,800 --> 00:42:43,440 Speaker 1: a cigarette lighter up to it, and much to our surprise, 759 00:42:43,560 --> 00:42:46,880 Speaker 1: the snow does not melt into water and drip away, 760 00:42:47,680 --> 00:42:49,840 Speaker 1: or at least not as fast as we would expect. 761 00:42:51,000 --> 00:42:54,359 Speaker 1: Instead of liquefying and dripping onto the floor. The part 762 00:42:54,400 --> 00:42:56,840 Speaker 1: of the snow exposed to the lighter looks like it 763 00:42:57,200 --> 00:43:01,319 Speaker 1: kind of collapses in on itself, and then it turns 764 00:43:01,440 --> 00:43:05,360 Speaker 1: gray or black. And then the narrator observes that the 765 00:43:05,440 --> 00:43:12,200 Speaker 1: snow must be fake plastic, toxic chemicals, harp juice, geoengineering nanoparticles. 766 00:43:12,920 --> 00:43:16,200 Speaker 1: You know about HARP, M not sure I do. It's 767 00:43:16,239 --> 00:43:19,880 Speaker 1: a radio transmission research project up in Alaska that a 768 00:43:19,880 --> 00:43:24,200 Speaker 1: lot of conspiracy theorists think is I don't know, being 769 00:43:24,320 --> 00:43:27,480 Speaker 1: used to create earthquakes or create bad weather events at 770 00:43:27,520 --> 00:43:30,040 Speaker 1: more these weather conspiracs. Okay, so it's a conspiracy theory 771 00:43:30,120 --> 00:43:32,879 Speaker 1: touchdown area, Yeah yeah, yeah, so they think it's it's 772 00:43:33,239 --> 00:43:35,560 Speaker 1: has something to do with that, or it's chem trails, 773 00:43:35,640 --> 00:43:39,439 Speaker 1: or it's geoengineering nanoparticles or nano robots or some other 774 00:43:39,520 --> 00:43:44,400 Speaker 1: evil substance. Uh, and then they exhort yonder sheeple to awaken. Okay, 775 00:43:46,239 --> 00:43:50,000 Speaker 1: what what's the motive? Not quite sure? I mean, was 776 00:43:50,040 --> 00:43:52,440 Speaker 1: it just like there were some Yankee scientists who are 777 00:43:52,480 --> 00:43:54,839 Speaker 1: trying to make it Landol look foolish by shutting down 778 00:43:54,840 --> 00:43:56,920 Speaker 1: the city with two inches of fake snow. That was 779 00:43:56,920 --> 00:44:00,920 Speaker 1: one of the results. That's yeah, I don't know, but anyway, 780 00:44:00,960 --> 00:44:03,239 Speaker 1: several be some sort of corporate espionage thing because you 781 00:44:03,320 --> 00:44:07,560 Speaker 1: end up shutting down the city economically, So maybe there 782 00:44:07,640 --> 00:44:11,480 Speaker 1: was some hidden nefarious purpose there. I suppose we'll never know. 783 00:44:12,200 --> 00:44:15,520 Speaker 1: But anyway, so there are several scientists and skeptics who 784 00:44:15,520 --> 00:44:17,520 Speaker 1: took a crack at this to see what was going on. 785 00:44:18,040 --> 00:44:22,320 Speaker 1: The first observation, it obviously wasn't a conspiracy to cripple 786 00:44:22,400 --> 00:44:25,600 Speaker 1: Atlanta or the Southeast in particular with this stuff, because 787 00:44:25,680 --> 00:44:29,480 Speaker 1: people from other regions burned their snowballs with cigarette lighters 788 00:44:29,719 --> 00:44:32,919 Speaker 1: and got the same result. So if this is a conspiracy, 789 00:44:32,960 --> 00:44:35,839 Speaker 1: it's a global conspiracy. This is probably more a situation 790 00:44:36,000 --> 00:44:40,239 Speaker 1: of most people don't try to burn snowballs, and and 791 00:44:40,440 --> 00:44:43,279 Speaker 1: surprisingly the result of trying to burn snow snowballs is 792 00:44:43,320 --> 00:44:46,759 Speaker 1: different than you might expect. Right, that's exactly what's going on. 793 00:44:46,840 --> 00:44:49,120 Speaker 1: So what is happening with the snow? Why does it 794 00:44:49,239 --> 00:44:53,200 Speaker 1: do this? Uh? First of all, why doesn't it drip? 795 00:44:53,239 --> 00:44:55,719 Speaker 1: You would you would expect, I mean I certainly intuitively 796 00:44:55,760 --> 00:44:57,840 Speaker 1: would have expected if you hold a lighter up to 797 00:44:57,840 --> 00:45:00,600 Speaker 1: a snowball, it's gonna drip water all over the floor. 798 00:45:01,040 --> 00:45:05,400 Speaker 1: And that does That doesn't seem to happen. Here's the explanation. 799 00:45:06,200 --> 00:45:13,319 Speaker 1: Freshly fallen snow is like nine to nine air, Okay, 800 00:45:13,360 --> 00:45:15,520 Speaker 1: So and this is the reason why snow. You know, 801 00:45:15,560 --> 00:45:18,960 Speaker 1: you have some animals that will dig a snow cave 802 00:45:19,440 --> 00:45:22,080 Speaker 1: for insulation from the cold, and you think like, wait, 803 00:45:22,160 --> 00:45:24,560 Speaker 1: how can that protect them from the cold if they're 804 00:45:24,560 --> 00:45:30,080 Speaker 1: in the snow? Yeah, totally true. So the snow has 805 00:45:30,120 --> 00:45:32,399 Speaker 1: a lot of gaps in it, and with all these 806 00:45:32,400 --> 00:45:35,120 Speaker 1: little pockets of air in it, the air can't really 807 00:45:35,120 --> 00:45:38,600 Speaker 1: move around, and it ends up creating a good insulation 808 00:45:38,680 --> 00:45:41,879 Speaker 1: layer between the what's going on inside and the heat 809 00:45:41,920 --> 00:45:46,280 Speaker 1: from the outside. Anyway, it's not very dense, so snow, 810 00:45:46,440 --> 00:45:50,280 Speaker 1: even packed snow packed into a snowball, is less dense 811 00:45:50,320 --> 00:45:53,400 Speaker 1: than ice or liquid water. It's kind of like wool 812 00:45:53,640 --> 00:45:57,120 Speaker 1: or any other loose solid material. It's full of wonderful 813 00:45:57,120 --> 00:46:00,960 Speaker 1: little pockets and tunnels and spaces for liqu water to 814 00:46:01,040 --> 00:46:05,440 Speaker 1: be absorbed. And so when you hold a lighter up 815 00:46:05,440 --> 00:46:09,160 Speaker 1: to a snowball and melt the water, the water is melting, 816 00:46:09,200 --> 00:46:12,200 Speaker 1: the ice is melting and turning into liquid water, but 817 00:46:12,280 --> 00:46:17,080 Speaker 1: it's being absorbed up into all those pockets in the snowball, 818 00:46:17,080 --> 00:46:20,520 Speaker 1: those little holes and places for liquid water to go. Okay, 819 00:46:20,560 --> 00:46:22,040 Speaker 1: So it's not like just how it would be like 820 00:46:22,080 --> 00:46:24,839 Speaker 1: holding the lighter up to a chunk of ice, for instance, right, 821 00:46:24,880 --> 00:46:26,320 Speaker 1: And it's true, if you hold a lighter up to 822 00:46:26,360 --> 00:46:29,320 Speaker 1: a chunk of ice, it'll drip. The snowball doesn't drip 823 00:46:29,400 --> 00:46:33,080 Speaker 1: very much. What's the explanation though, for the blackening? That's 824 00:46:33,120 --> 00:46:35,560 Speaker 1: the really weird thing and holding a lighter, holding a 825 00:46:35,560 --> 00:46:38,080 Speaker 1: cigarette lighter up to a snowball and then the snowball 826 00:46:38,080 --> 00:46:41,120 Speaker 1: appears to get scorched, it turns gray or black. I mean, 827 00:46:41,880 --> 00:46:45,000 Speaker 1: water isn't supposed to get scorched. That doesn't happen, and 828 00:46:45,080 --> 00:46:48,320 Speaker 1: it's true the water is in fact not getting scorched. 829 00:46:48,360 --> 00:46:50,720 Speaker 1: What's going on here is that the lighters that people 830 00:46:50,760 --> 00:46:54,440 Speaker 1: are using in these videos are standard butane lighters. The 831 00:46:54,719 --> 00:46:57,480 Speaker 1: fuel is butane, which is a hydrocarbon fuel. It's C 832 00:46:57,719 --> 00:47:01,120 Speaker 1: four H tin, and it does doesn't always burned with 833 00:47:01,200 --> 00:47:04,719 Speaker 1: perfect efficiency. C four H tin reacts in a combustion 834 00:47:04,800 --> 00:47:07,800 Speaker 1: reaction with oxygen that creates C O two so carbon 835 00:47:07,840 --> 00:47:11,480 Speaker 1: dioxide and then water H two oh. But it also 836 00:47:11,560 --> 00:47:15,440 Speaker 1: sometimes produces a pollutant byproduct to the fact that it 837 00:47:15,520 --> 00:47:19,400 Speaker 1: doesn't burn perfectly clean. And these are extra carbon particles. 838 00:47:19,719 --> 00:47:23,520 Speaker 1: The carbon particles are black, and we call them soot. Okay, 839 00:47:23,560 --> 00:47:25,440 Speaker 1: so we kind of get down to the black snow 840 00:47:25,840 --> 00:47:28,640 Speaker 1: situation we had earlier with the power plant pumping up 841 00:47:29,040 --> 00:47:31,879 Speaker 1: a bunch of black foot into the atmosphere. Exactly. Yeah, 842 00:47:31,880 --> 00:47:36,000 Speaker 1: So you're what's going on when you're snowball turns black 843 00:47:36,120 --> 00:47:38,839 Speaker 1: when you cook it with the lighter. Is not that 844 00:47:38,880 --> 00:47:42,600 Speaker 1: the snow is turning black. You are polluting the snowball 845 00:47:42,680 --> 00:47:46,440 Speaker 1: with soot from the lighter you're using. The soot collects 846 00:47:46,440 --> 00:47:49,720 Speaker 1: on the clean white snowball and stains at a darker color. 847 00:47:50,680 --> 00:47:55,759 Speaker 1: So here's the real conspiracy theory deathblow. People said, well, 848 00:47:55,760 --> 00:47:58,399 Speaker 1: what if we heat the snowball in a different way 849 00:47:58,520 --> 00:48:00,640 Speaker 1: than with a lighter, like if we put it in 850 00:48:00,680 --> 00:48:03,000 Speaker 1: a bowl in the microwave or in a pan on 851 00:48:03,040 --> 00:48:05,600 Speaker 1: the stove, And what do you know? It melted into 852 00:48:05,640 --> 00:48:08,920 Speaker 1: regular water just fine. Uh. Though in the pan, an 853 00:48:08,960 --> 00:48:11,120 Speaker 1: interesting thing that you can see happen is that the 854 00:48:11,200 --> 00:48:14,120 Speaker 1: part of the snowball that's touching the pan on the bottom, 855 00:48:14,800 --> 00:48:17,440 Speaker 1: it begins to melt first, and then the rest of 856 00:48:17,480 --> 00:48:20,920 Speaker 1: the snowball absorbs the liquid water. You can see the 857 00:48:20,960 --> 00:48:25,240 Speaker 1: water level of flowing up as if by capillary action 858 00:48:25,880 --> 00:48:30,160 Speaker 1: into the snowball above it. And uh and there you 859 00:48:30,200 --> 00:48:32,839 Speaker 1: pretty much have what's going on. And this gives us 860 00:48:32,840 --> 00:48:37,279 Speaker 1: a new activity to enjoy on on snow days this year. Yeah, 861 00:48:37,320 --> 00:48:41,839 Speaker 1: frying snowballs is that is now? That's got to be 862 00:48:41,880 --> 00:48:45,640 Speaker 1: the next big state fair food. Right. They've got they've 863 00:48:45,680 --> 00:48:50,120 Speaker 1: got they've got deep fried Snickers bars, deep fried kool aid, 864 00:48:50,200 --> 00:48:52,520 Speaker 1: And the next thing is going to be deep fried 865 00:48:52,560 --> 00:48:56,600 Speaker 1: snow maybe. Well, I mean you did fried ice cream, right, 866 00:48:57,440 --> 00:48:59,359 Speaker 1: I've never had that? What what do you do with that? 867 00:48:59,400 --> 00:49:02,080 Speaker 1: How does it not melt? I think it's well, it's 868 00:49:02,080 --> 00:49:03,560 Speaker 1: been a long time since I've had it. I seem 869 00:49:03,640 --> 00:49:08,160 Speaker 1: to recall that it is, uh like really cold ice cream, 870 00:49:08,239 --> 00:49:11,080 Speaker 1: and it's just fried so quickly that it's the ice 871 00:49:11,120 --> 00:49:13,839 Speaker 1: cream is melting as you open it up. But it's 872 00:49:13,840 --> 00:49:16,400 Speaker 1: been it's been a long time since I had it. Likewise, 873 00:49:16,400 --> 00:49:18,799 Speaker 1: it's been a long time since I've had us. You know, 874 00:49:19,160 --> 00:49:20,160 Speaker 1: what do you what do you call it when you 875 00:49:20,200 --> 00:49:22,480 Speaker 1: just had sugar to the snow and you eat it? 876 00:49:23,080 --> 00:49:25,239 Speaker 1: Snow cone? Well, I guess you could call it that. 877 00:49:25,280 --> 00:49:28,440 Speaker 1: We had we called it something different though as a kid, Oh, 878 00:49:28,520 --> 00:49:31,040 Speaker 1: snow cone is a good analogy for what's going on here. Actually, 879 00:49:31,080 --> 00:49:33,200 Speaker 1: if you pour the syrup into a snow cone, yeah, 880 00:49:33,280 --> 00:49:37,719 Speaker 1: it's absorbed into the snow. The yeah. But anyway. One 881 00:49:37,800 --> 00:49:40,000 Speaker 1: of one of the best sources I found on this 882 00:49:40,160 --> 00:49:44,520 Speaker 1: was the was the astronomer and skeptic blogger Phil plates 883 00:49:44,560 --> 00:49:48,520 Speaker 1: blog posts over its slate Bad Astronomy, Yeah, yeah, bad astronomer. 884 00:49:48,560 --> 00:49:50,839 Speaker 1: He he had a really good breakdown of exactly what's 885 00:49:50,880 --> 00:49:52,800 Speaker 1: going on, and I think he has the most thorough 886 00:49:52,840 --> 00:49:57,200 Speaker 1: explanation of of exactly why this is not snow you 887 00:49:57,200 --> 00:50:01,799 Speaker 1: should be worried about. Okay, alright, So so, in other words, 888 00:50:01,840 --> 00:50:04,839 Speaker 1: when it comes to generating conspiracy theories about the next 889 00:50:04,840 --> 00:50:10,040 Speaker 1: big snowfall, look elsewhere. We've already we've already thoroughly explained 890 00:50:10,440 --> 00:50:14,760 Speaker 1: the fake snow, the blackening snow, the snow that won't melt. 891 00:50:15,040 --> 00:50:17,440 Speaker 1: On the other hand, as our as our several lessons 892 00:50:17,440 --> 00:50:21,240 Speaker 1: from Siberia have taught us, if you do see snow 893 00:50:21,440 --> 00:50:24,920 Speaker 1: that seems to be laden with chemicals, it's entirely possible 894 00:50:24,960 --> 00:50:27,799 Speaker 1: that this is some kind of weird industrial byproduct or 895 00:50:27,840 --> 00:50:30,800 Speaker 1: otherwise not good snow and might be worth bringing to 896 00:50:30,840 --> 00:50:35,320 Speaker 1: somebody's attention. So it's possible that that not all snow 897 00:50:35,440 --> 00:50:37,560 Speaker 1: is good snow. Yeah, and yeah, and if it's a 898 00:50:37,560 --> 00:50:40,880 Speaker 1: strange color, you maybe think twice before you attempt to 899 00:50:40,920 --> 00:50:43,920 Speaker 1: deep fry it for the fair. So they have it 900 00:50:44,520 --> 00:50:48,000 Speaker 1: some weird snow, some space snow, some multicolored snow, some 901 00:50:48,120 --> 00:50:52,160 Speaker 1: evil snow. Yeah, So there's a little more material for 902 00:50:52,160 --> 00:50:55,120 Speaker 1: you to think about when when the white stuff starts falling. 903 00:50:55,280 --> 00:50:57,279 Speaker 1: This winter on you and you begin to wonder if 904 00:50:57,280 --> 00:51:00,800 Speaker 1: you're going to school or work the next morning. Okay, so, honestly, 905 00:51:00,920 --> 00:51:02,560 Speaker 1: do you think we're going to get any snow here 906 00:51:02,560 --> 00:51:05,440 Speaker 1: in Atlanta this year? Ba's on what we've seen so far, 907 00:51:05,520 --> 00:51:08,040 Speaker 1: I would say no. I would say this year is off. 908 00:51:08,320 --> 00:51:10,399 Speaker 1: But you know, so the way things have been going 909 00:51:10,440 --> 00:51:13,840 Speaker 1: recently with the crazy weathered patterns, maybe we'll get in July. Yeah, 910 00:51:13,880 --> 00:51:16,920 Speaker 1: who knows? Yeah, all right, that's it. In the meantime, 911 00:51:16,960 --> 00:51:19,080 Speaker 1: if you want to check out more episodes again, head 912 00:51:19,080 --> 00:51:20,799 Speaker 1: on over the stuff Blow your Mind dot com. That's 913 00:51:20,800 --> 00:51:23,640 Speaker 1: where you find all the podcast episodes. You find videos, 914 00:51:23,640 --> 00:51:25,680 Speaker 1: you'll find blog posts, will find links to social media 915 00:51:25,719 --> 00:51:29,719 Speaker 1: account such as uh our, Twitter and Facebook. We'll blow 916 00:51:29,719 --> 00:51:31,319 Speaker 1: the mind on both of those were Stuff to Blow 917 00:51:31,400 --> 00:51:33,200 Speaker 1: your Mind on Tumbler, And if you want to get 918 00:51:33,239 --> 00:51:36,160 Speaker 1: in touch with us with your favorite science facts about 919 00:51:36,160 --> 00:51:39,600 Speaker 1: snow or your weirdest personal snow story, you can email 920 00:51:39,680 --> 00:51:51,840 Speaker 1: us and blow the mind at how stuff works dot com. 921 00:51:51,960 --> 00:51:54,400 Speaker 1: For more on this and pathans of other topics. Is 922 00:51:54,400 --> 00:52:16,200 Speaker 1: it how stuff works dot com. The four start fo