1 00:00:04,240 --> 00:00:07,360 Speaker 1: Hey, and welcome to the podcast. I'm INCA Josh, and 2 00:00:07,440 --> 00:00:10,520 Speaker 1: there's INCA Chuck and INCA Jerry's over there. So this 3 00:00:10,560 --> 00:00:13,880 Speaker 1: is an INCA cast. Stuff. You should INCA short stuff, 4 00:00:13,880 --> 00:00:19,400 Speaker 1: you should INCA. Do you like that one? Huh yeah, 5 00:00:19,440 --> 00:00:24,440 Speaker 1: I'm surprised. Just dumb enough. Wait what do you mean, Oh, 6 00:00:24,480 --> 00:00:26,640 Speaker 1: I mean dumb in a good way. A dumb joke 7 00:00:26,800 --> 00:00:29,480 Speaker 1: is what my one of my biggest compliments. You know, 8 00:00:29,840 --> 00:00:33,760 Speaker 1: we have really been hit with the accusations of dad 9 00:00:33,840 --> 00:00:37,400 Speaker 1: jokes a lot more frequently lately. Have you noticed, well 10 00:00:37,520 --> 00:00:40,239 Speaker 1: more than we did ten years ago. Yeah, you know, 11 00:00:40,360 --> 00:00:42,720 Speaker 1: we're getting older and that's when dad jokes start creeping in. 12 00:00:42,880 --> 00:00:46,360 Speaker 1: So these people are right, they are correct. Man, never 13 00:00:46,400 --> 00:00:48,479 Speaker 1: would have thought I'd live to see the day. Literally, 14 00:00:48,680 --> 00:00:52,760 Speaker 1: that's right. We we we still stopped before we hit puns. Yeah, 15 00:00:52,760 --> 00:00:56,640 Speaker 1: we're no strickling. Nope, that's ageless. That's just some sort 16 00:00:56,680 --> 00:01:01,920 Speaker 1: of mental defect. Has nothing to do with age. Yeah. 17 00:01:01,960 --> 00:01:04,480 Speaker 1: Not ageless is in timeless and you could do that 18 00:01:04,600 --> 00:01:07,760 Speaker 1: anytime and it's great, right, Yeah, the opposite of that. 19 00:01:08,600 --> 00:01:13,080 Speaker 1: So Chuck, speaking of um opposites of that, let's talk 20 00:01:13,080 --> 00:01:16,920 Speaker 1: about whether or not the INCA actually ever created a 21 00:01:16,959 --> 00:01:21,160 Speaker 1: written language of any sort. Yeah, this was cool, and 22 00:01:21,200 --> 00:01:23,160 Speaker 1: I would love to do a longer form show on 23 00:01:23,400 --> 00:01:28,240 Speaker 1: the Inca period the Inca people, because, man, when you 24 00:01:28,400 --> 00:01:32,479 Speaker 1: when you start poking around a little bit, uh, the 25 00:01:32,520 --> 00:01:37,600 Speaker 1: things that they achieved and when it happened, it's pretty striking. Well, 26 00:01:37,640 --> 00:01:39,440 Speaker 1: you know, we did an episode called how did a 27 00:01:39,480 --> 00:01:43,240 Speaker 1: hundred and sixty eight Conquistadors bring down the Inca Empire? 28 00:01:43,640 --> 00:01:46,199 Speaker 1: Did we Really? That was a good one, But I'm 29 00:01:46,240 --> 00:01:48,560 Speaker 1: sure there's still plenty more to talk about with them. 30 00:01:48,600 --> 00:01:52,000 Speaker 1: We could do one just on the Inca I'll bet yeah. So, Uh, 31 00:01:52,200 --> 00:01:55,280 Speaker 1: I mean, here's here's a couple of things in the 32 00:01:55,280 --> 00:01:59,480 Speaker 1: way of an overview. Uh, they had the largest pre 33 00:01:59,600 --> 00:02:03,920 Speaker 1: columbia An empire in the America's a lot of people 34 00:02:04,000 --> 00:02:06,880 Speaker 1: during the Bronze Age. And you're not successful as a 35 00:02:06,960 --> 00:02:09,320 Speaker 1: people that that that can grow and thrive like that 36 00:02:09,880 --> 00:02:13,840 Speaker 1: unless you're doing some of these things like building roads 37 00:02:13,880 --> 00:02:18,480 Speaker 1: to the tune of twenty five thousand miles of highway, right, 38 00:02:18,800 --> 00:02:22,600 Speaker 1: that's amazing. Yeah, there was something like twelve I saw 39 00:02:22,800 --> 00:02:27,639 Speaker 1: ten to twelve million people in the Inca Empire who 40 00:02:27,680 --> 00:02:31,520 Speaker 1: were walking along the twenty five thousand miles of highway, 41 00:02:31,560 --> 00:02:34,120 Speaker 1: which by the way, cut through the Andies. It was 42 00:02:34,200 --> 00:02:37,760 Speaker 1: largely in the Andes, up in the Andes, which was 43 00:02:37,800 --> 00:02:40,600 Speaker 1: not a hospitable place to form a civilization in the 44 00:02:40,600 --> 00:02:44,280 Speaker 1: first place, no man, but they did. They thrived where 45 00:02:44,280 --> 00:02:48,600 Speaker 1: it was dry and harsh and steep, and they were 46 00:02:48,600 --> 00:02:54,160 Speaker 1: able to engineer like the kind of farmland at the altitudes, 47 00:02:54,480 --> 00:02:57,320 Speaker 1: at these altitudes that you would never think would be possible, 48 00:02:58,160 --> 00:03:02,640 Speaker 1: like millions of acres of high altitude terrorist farms. And 49 00:03:02,680 --> 00:03:04,959 Speaker 1: the way that I saw that the whole thing worked 50 00:03:05,040 --> 00:03:09,079 Speaker 1: was there were clans and villages and groups that all 51 00:03:09,160 --> 00:03:13,120 Speaker 1: kind of um. They did their own thing, and they 52 00:03:13,160 --> 00:03:15,480 Speaker 1: paid tribute to the what you would call kind of 53 00:03:15,480 --> 00:03:19,080 Speaker 1: the federal government, the Inca chiefs, the people um who 54 00:03:19,080 --> 00:03:22,800 Speaker 1: were who had the whole empire together, and then the 55 00:03:22,919 --> 00:03:26,760 Speaker 1: Inca who were running the show, would in turn provide 56 00:03:26,840 --> 00:03:29,000 Speaker 1: these these people, like the farmers and the villages and 57 00:03:29,040 --> 00:03:32,800 Speaker 1: the clans with stuff they needed. It bore a striking 58 00:03:32,840 --> 00:03:38,080 Speaker 1: resemblance to like Soviet communism. Yeah, and they kept it 59 00:03:38,120 --> 00:03:40,520 Speaker 1: going for about a hundred and fifty years again until 60 00:03:40,560 --> 00:03:44,040 Speaker 1: the Spans showed up. They were they were very powerful 61 00:03:44,080 --> 00:03:46,800 Speaker 1: empire But the weird thing about the Inca is that 62 00:03:46,840 --> 00:03:49,080 Speaker 1: they were able to do all this that included math 63 00:03:49,160 --> 00:03:54,400 Speaker 1: and abstract thought and um major like socio political administration. 64 00:03:55,240 --> 00:03:59,800 Speaker 1: They appeared to have done it without any written language whatsoever. 65 00:04:00,080 --> 00:04:02,400 Speaker 1: That's been basically the way that people have viewed the 66 00:04:02,400 --> 00:04:04,920 Speaker 1: Inca for a very long time. Yeah, which is is 67 00:04:05,000 --> 00:04:08,080 Speaker 1: remarkable because it's not like, oh, well, this was back 68 00:04:08,200 --> 00:04:11,080 Speaker 1: during the Bronze Age, like the Maya had written languages, 69 00:04:11,120 --> 00:04:15,480 Speaker 1: the az Text did, Mesopotamians did, Egyptians of course did, 70 00:04:15,600 --> 00:04:19,320 Speaker 1: Chinese did. So a lot of people were writing things 71 00:04:19,360 --> 00:04:25,480 Speaker 1: down and uh, it appeared and we're still not super sure, 72 00:04:25,520 --> 00:04:30,799 Speaker 1: but or are we Like, can we say definitively we're 73 00:04:30,920 --> 00:04:34,000 Speaker 1: almost but no, I don't think we can definitively say 74 00:04:34,080 --> 00:04:36,480 Speaker 1: it is sure starting to look that way, all right, 75 00:04:36,680 --> 00:04:39,200 Speaker 1: So let's let's get to the sort of the heart 76 00:04:39,240 --> 00:04:41,080 Speaker 1: of the story. Then, is is it? I believe it's 77 00:04:41,080 --> 00:04:45,600 Speaker 1: pronounced keepu k h I p you or or key 78 00:04:46,080 --> 00:04:50,080 Speaker 1: q u i p u r, which would also be 79 00:04:50,080 --> 00:04:53,400 Speaker 1: pronounced keep who right. But if you look this up 80 00:04:53,480 --> 00:04:55,400 Speaker 1: on the internet, if you can pull your car over, whatever, 81 00:04:55,440 --> 00:04:59,039 Speaker 1: don't anything dangerous. They are these really kind of cool. 82 00:04:59,080 --> 00:05:01,760 Speaker 1: It looks like Macromay almost. These knotted which I know 83 00:05:02,080 --> 00:05:07,479 Speaker 1: you like, uh, these knotted links of cord made from cotton. 84 00:05:07,600 --> 00:05:12,440 Speaker 1: Sometimes sometimes it's a llama or alpaca wool. And you 85 00:05:12,440 --> 00:05:15,760 Speaker 1: would see them hung up in rows that looks like 86 00:05:15,760 --> 00:05:19,159 Speaker 1: like from a curtain rod or something from but that 87 00:05:19,160 --> 00:05:21,719 Speaker 1: that curtain rod is really like a thicker central rope 88 00:05:22,440 --> 00:05:24,960 Speaker 1: and these things would just hang down and for many 89 00:05:25,000 --> 00:05:28,159 Speaker 1: many years someone more color coded. But for many years 90 00:05:28,240 --> 00:05:34,000 Speaker 1: people thought that these were just like art, right arts crafts, 91 00:05:34,040 --> 00:05:36,000 Speaker 1: that kind of thing, like something somebody would do when 92 00:05:36,040 --> 00:05:38,680 Speaker 1: they were bored, you know. And a lot of them 93 00:05:38,720 --> 00:05:41,480 Speaker 1: were lost because there's the Spanish. When they showed up, 94 00:05:41,600 --> 00:05:44,000 Speaker 1: the found them everywhere and they were like, well, I 95 00:05:44,000 --> 00:05:47,080 Speaker 1: don't know what this is, so I'm just gonna burn them. Yeah, 96 00:05:47,120 --> 00:05:49,919 Speaker 1: I'm gonna kill everybody and burn everything. And so for 97 00:05:50,080 --> 00:05:52,440 Speaker 1: a long time people, yeah, they just had them in museums. 98 00:05:52,480 --> 00:05:56,200 Speaker 1: They were they were ink and relics of an empire 99 00:05:56,279 --> 00:05:58,280 Speaker 1: that had crumbled and gone away. So people are like, 100 00:05:58,320 --> 00:06:01,920 Speaker 1: we gotta preserve these, and they took them to be museums. Um. 101 00:06:01,960 --> 00:06:04,640 Speaker 1: But it wasn't until the nineteen twenties that a guy 102 00:06:04,720 --> 00:06:08,480 Speaker 1: named Leland Locke, who was studying them at the Museum 103 00:06:08,480 --> 00:06:11,400 Speaker 1: of Natural History in New York, who said, you know what, 104 00:06:11,600 --> 00:06:16,080 Speaker 1: I think these actually are symbolic. I think they encode information, 105 00:06:16,920 --> 00:06:19,200 Speaker 1: and I think that they probably are used to kind 106 00:06:19,200 --> 00:06:22,640 Speaker 1: of tabulate things. And he he was right, boy, that 107 00:06:22,680 --> 00:06:25,840 Speaker 1: sounds like a good cliffhanger, my friend. Okay, I should 108 00:06:25,880 --> 00:06:29,600 Speaker 1: take out that he was right part then? But was he? 109 00:06:30,279 --> 00:06:52,640 Speaker 1: Well find out right after this he was okay, so 110 00:06:52,680 --> 00:06:55,920 Speaker 1: he was right. Yeah, he was to right. Leland Luck 111 00:06:56,000 --> 00:06:59,719 Speaker 1: was correct. And what he found was that these uh 112 00:06:59,760 --> 00:07:04,320 Speaker 1: the keep who uh nots, We're definitely used. And this 113 00:07:04,400 --> 00:07:07,279 Speaker 1: is the part that we for sure know. Um. It 114 00:07:07,360 --> 00:07:10,440 Speaker 1: was sort of like a calculator or an abacus um 115 00:07:10,560 --> 00:07:14,080 Speaker 1: or a file that you would use to to like 116 00:07:14,520 --> 00:07:16,400 Speaker 1: instead of writing down numbers and putting in at a 117 00:07:16,400 --> 00:07:19,840 Speaker 1: file cabinet, you would not this thing up to represent 118 00:07:20,040 --> 00:07:22,520 Speaker 1: like a census or something like that, or maybe how 119 00:07:22,600 --> 00:07:27,160 Speaker 1: much you know, how many cowbrains you had on hand 120 00:07:27,760 --> 00:07:30,680 Speaker 1: in the back, or how many llamas you had cowbrains. 121 00:07:31,200 --> 00:07:34,160 Speaker 1: Sure they probably make cowbrains, right, I don't think so. 122 00:07:34,240 --> 00:07:36,960 Speaker 1: I think that's how rumors get started. Chunking. Okay, well, 123 00:07:37,080 --> 00:07:40,000 Speaker 1: whatever there whatever they want to keep track of. It 124 00:07:40,120 --> 00:07:44,600 Speaker 1: served as as an abacus essentially. Yeah, it's storied information, 125 00:07:45,080 --> 00:07:46,920 Speaker 1: like they kept track of all that tribute that was 126 00:07:46,960 --> 00:07:50,360 Speaker 1: coming in from the hundred and thirty different clans under them, 127 00:07:50,400 --> 00:07:52,360 Speaker 1: like it was. It was. It was a way to 128 00:07:52,520 --> 00:07:56,240 Speaker 1: store information. But that is boring and pedestrian, and it's 129 00:07:56,280 --> 00:07:59,920 Speaker 1: still says that the Inca managed to keep track of 130 00:08:00,040 --> 00:08:02,000 Speaker 1: all this and do all this stuff without a written 131 00:08:02,080 --> 00:08:05,160 Speaker 1: language like that does not happen. Usually you have a 132 00:08:05,200 --> 00:08:09,000 Speaker 1: written language and then math develops later. The Inca developed 133 00:08:09,040 --> 00:08:11,280 Speaker 1: all this, or it appeared that they did without a 134 00:08:11,280 --> 00:08:15,000 Speaker 1: written language, but that's just what it seemed to be. 135 00:08:15,040 --> 00:08:17,679 Speaker 1: Like nobody could figure out or see any written language 136 00:08:17,680 --> 00:08:20,080 Speaker 1: in this for a very long time. Well, and here's 137 00:08:20,080 --> 00:08:22,560 Speaker 1: the thing too, uh that I didn't mention. It's not 138 00:08:22,640 --> 00:08:25,720 Speaker 1: as simple as I have ten lama, so I'm gonna 139 00:08:25,760 --> 00:08:28,680 Speaker 1: te ten knots on this string. Yeah. So it was 140 00:08:28,720 --> 00:08:30,640 Speaker 1: like the height of the knot and where it was 141 00:08:30,640 --> 00:08:34,000 Speaker 1: positioned on the cord. Uh. It all symbolized different things. 142 00:08:34,080 --> 00:08:38,080 Speaker 1: The color symbolize something they had had multiples like one 143 00:08:38,400 --> 00:08:40,160 Speaker 1: thing the way you know it could be done in 144 00:08:40,200 --> 00:08:42,640 Speaker 1: such a way or represented a hundred or a thousand. 145 00:08:43,480 --> 00:08:46,720 Speaker 1: Uh So it wasn't just like you know, eight beads 146 00:08:46,800 --> 00:08:50,160 Speaker 1: means eight cows, right. Yeah. So like, um, if you 147 00:08:50,200 --> 00:08:53,080 Speaker 1: have three knots, right, and the top one has like 148 00:08:53,120 --> 00:08:55,079 Speaker 1: five loops, in the middle one has five loops, in 149 00:08:55,120 --> 00:08:57,400 Speaker 1: the bottom one has two loops, what you're seeing is 150 00:08:57,480 --> 00:08:59,920 Speaker 1: five hundred and fifty two. Like the top one is 151 00:09:00,040 --> 00:09:02,800 Speaker 1: the hundreds column, the middle ones the tens, and the 152 00:09:03,080 --> 00:09:06,720 Speaker 1: lower ones of the singles. Um. So yeah, and so 153 00:09:06,840 --> 00:09:09,360 Speaker 1: like there was it wasn't just like one yeah counting 154 00:09:09,360 --> 00:09:12,360 Speaker 1: off like that was much much more sophisticated that and 155 00:09:12,679 --> 00:09:15,520 Speaker 1: you know, the color that that they used, the type 156 00:09:15,559 --> 00:09:18,280 Speaker 1: of material that they used, the direction that not was 157 00:09:18,360 --> 00:09:21,320 Speaker 1: tied in the number of loops that had. There are 158 00:09:21,360 --> 00:09:23,360 Speaker 1: all sorts of things. So when you when you take that, 159 00:09:23,440 --> 00:09:25,880 Speaker 1: you know, if you have three different dimensions or five 160 00:09:26,000 --> 00:09:29,400 Speaker 1: or seven or ten different dimensions of something, um, those 161 00:09:29,440 --> 00:09:31,720 Speaker 1: things start to interact and now you have a lot 162 00:09:31,760 --> 00:09:35,160 Speaker 1: of different symbols to choose from doingcode information. But again, 163 00:09:35,240 --> 00:09:38,440 Speaker 1: everyone just thought that it was just numbers that they 164 00:09:38,480 --> 00:09:42,000 Speaker 1: were encoding until the I think the nineteen nineties when 165 00:09:42,000 --> 00:09:46,840 Speaker 1: a Harvard anthropologist named Gary Urton um who spent years 166 00:09:46,840 --> 00:09:51,839 Speaker 1: working on analyzing these finally was like, no, there's there's 167 00:09:51,920 --> 00:09:54,800 Speaker 1: words in here, there's names in here. And if there's 168 00:09:55,000 --> 00:09:59,120 Speaker 1: names in here, symbols of names, then that means that 169 00:09:59,160 --> 00:10:03,199 Speaker 1: they're encoding more than just numbers. They're encoding abstract thoughts 170 00:10:04,440 --> 00:10:08,200 Speaker 1: like a language does. Yeah, and and Burton started to 171 00:10:08,200 --> 00:10:11,600 Speaker 1: look into this because, like, despite all the great work 172 00:10:11,679 --> 00:10:14,640 Speaker 1: Locke did to crack this code about accounts, he pretty 173 00:10:14,720 --> 00:10:17,920 Speaker 1: much did, there were still a bunch of these UH 174 00:10:18,040 --> 00:10:21,600 Speaker 1: configurations that did not fit with the rest. And he 175 00:10:21,640 --> 00:10:24,520 Speaker 1: always just sort of thought those were outliers and maybe 176 00:10:24,559 --> 00:10:27,840 Speaker 1: those were arts and crafts or for ceremonies or something. 177 00:10:28,280 --> 00:10:29,960 Speaker 1: But it was Urton who picked that back up and 178 00:10:30,080 --> 00:10:32,640 Speaker 1: was like, I don't know, man, why would they go 179 00:10:32,720 --> 00:10:36,800 Speaker 1: through all this trouble to design this intricate numerical recording 180 00:10:36,880 --> 00:10:39,960 Speaker 1: system and then just have the same exact thing, just 181 00:10:40,040 --> 00:10:43,160 Speaker 1: be crafty. He's like, there's something else going on here, 182 00:10:43,520 --> 00:10:48,440 Speaker 1: right exactly? So Um he was, I guess teaching a 183 00:10:48,480 --> 00:10:53,480 Speaker 1: freshman economic student named Manny Madrono who managed to crack 184 00:10:53,800 --> 00:10:57,160 Speaker 1: a little bit more of the code um and and 185 00:10:57,480 --> 00:10:59,600 Speaker 1: was the one who showed I can't remember exactly what 186 00:10:59,640 --> 00:11:02,240 Speaker 1: he showed, but he he took Burton's decades of work 187 00:11:02,280 --> 00:11:06,040 Speaker 1: and in a spring break said, yep, here's some here's 188 00:11:06,040 --> 00:11:11,000 Speaker 1: some indications that the colors are actually indicating like abstract thoughts, 189 00:11:11,080 --> 00:11:14,880 Speaker 1: like like green um might be like cattle and that's 190 00:11:14,880 --> 00:11:18,640 Speaker 1: a concrete thought. But but red equals war or something. 191 00:11:18,679 --> 00:11:21,560 Speaker 1: So he cracked the coat a little further over spring break. 192 00:11:21,920 --> 00:11:24,920 Speaker 1: Over spring break, and he was like, and I figured 193 00:11:24,960 --> 00:11:28,160 Speaker 1: it out and passed me the beer bong, right, which 194 00:11:28,160 --> 00:11:32,000 Speaker 1: we called we didn't we called him funnel yeah bong. 195 00:11:32,120 --> 00:11:34,560 Speaker 1: I mean, I guess it makes sense because there's a 196 00:11:34,720 --> 00:11:38,640 Speaker 1: I'm sure it's a regional phrase. I'll bet you're right too. 197 00:11:38,720 --> 00:11:40,800 Speaker 1: We just called it funneling beer. And by the way, 198 00:11:41,000 --> 00:11:44,040 Speaker 1: you shouldn't do it everyone. It's dangerous stuff, it is, 199 00:11:44,080 --> 00:11:47,200 Speaker 1: and it's it's just dumb. I've never funneled the beer. 200 00:11:47,679 --> 00:11:50,080 Speaker 1: Oh I did it a few times. It's just stupid. Actually, 201 00:11:50,160 --> 00:11:52,240 Speaker 1: let me let me change that. I can't recall ever 202 00:11:52,280 --> 00:11:55,480 Speaker 1: funneling it. I never did any of that dumb stuff. 203 00:11:55,559 --> 00:11:59,440 Speaker 1: Keg stands or funneling just stupid. It is a little stupid, 204 00:11:59,480 --> 00:12:02,719 Speaker 1: but I mean, yeah, it is. I just sat there 205 00:12:02,720 --> 00:12:05,360 Speaker 1: as a nineteen year old on my my credit couardu 206 00:12:05,400 --> 00:12:09,800 Speaker 1: Roy Couch throwing my martini right, was clucking your tongue 207 00:12:09,840 --> 00:12:13,240 Speaker 1: at all? The Philistines. Yeah, uh, all right, so he 208 00:12:13,280 --> 00:12:16,760 Speaker 1: figures this out on spring break. It was a big like, 209 00:12:17,080 --> 00:12:19,600 Speaker 1: it was a big breakthrough that not only were these 210 00:12:19,760 --> 00:12:22,640 Speaker 1: uh used for numbers that's been record keeping, but like 211 00:12:22,679 --> 00:12:25,679 Speaker 1: you said, like potentially we do have an entire knot 212 00:12:25,760 --> 00:12:28,240 Speaker 1: language laid out in front of us, but most of 213 00:12:28,240 --> 00:12:32,240 Speaker 1: this stuff is gone, Like that's the big tragedy. Yeah. 214 00:12:32,320 --> 00:12:35,880 Speaker 1: So so this is the current thinking is that, yes, 215 00:12:35,920 --> 00:12:41,560 Speaker 1: they're definitely abstract thoughts possibly even phonetic sounds encoded in 216 00:12:41,600 --> 00:12:44,360 Speaker 1: these along with numbers. Like Leland Locke wasn't wrong, you 217 00:12:44,400 --> 00:12:48,520 Speaker 1: didn't misinterpret it, but he found he found um the 218 00:12:48,720 --> 00:12:51,199 Speaker 1: or the over time they found that, No, there's abstract 219 00:12:51,240 --> 00:12:53,360 Speaker 1: thoughts in here too. And there's a couple of pieces 220 00:12:53,400 --> 00:12:56,320 Speaker 1: of evidence that really back this up. One they found 221 00:12:56,520 --> 00:13:01,200 Speaker 1: key poos in burials. Right, why would you be buried 222 00:13:01,240 --> 00:13:05,800 Speaker 1: with a an avocus a census document? Nobody would, but 223 00:13:06,120 --> 00:13:08,640 Speaker 1: you might be. You might be buried with a something 224 00:13:08,679 --> 00:13:11,800 Speaker 1: that's basically like a narrative of some battle that you 225 00:13:11,840 --> 00:13:14,520 Speaker 1: showed your bravery in and that was like the greatest 226 00:13:14,520 --> 00:13:16,400 Speaker 1: thing you ever did in your life. You might be 227 00:13:16,400 --> 00:13:18,920 Speaker 1: buried with something like that. So that's one point. And 228 00:13:18,960 --> 00:13:22,640 Speaker 1: then a researcher at St. Andrew's University in Scotland, so 229 00:13:22,760 --> 00:13:27,240 Speaker 1: being Highland UM, did some analysis of two key poos 230 00:13:27,280 --> 00:13:32,120 Speaker 1: that are incin that we're from the Spanish colonial area 231 00:13:32,360 --> 00:13:36,199 Speaker 1: or era that supposedly the people, the villagers who were 232 00:13:36,200 --> 00:13:39,440 Speaker 1: preserving these things said these are these two these tell 233 00:13:39,480 --> 00:13:43,160 Speaker 1: of a great war. Yeah, that's that was key for sure. 234 00:13:43,240 --> 00:13:45,840 Speaker 1: So these things are supposed to have a narrative code 235 00:13:45,960 --> 00:13:48,200 Speaker 1: within them. And she analyzed him and found like, yeah, 236 00:13:48,200 --> 00:13:50,480 Speaker 1: there's something going on here. Yeah, I mean she got 237 00:13:50,520 --> 00:13:53,760 Speaker 1: back up because they said, yeah, the different materials means something. 238 00:13:55,200 --> 00:13:57,840 Speaker 1: You guys are uh, you guys are figuring this out. 239 00:13:58,280 --> 00:14:02,720 Speaker 1: She she found that there different symbols encoded in these 240 00:14:02,800 --> 00:14:06,040 Speaker 1: key poos, which is way more than you need for 241 00:14:06,280 --> 00:14:09,680 Speaker 1: um like accounting system, but much more in line with 242 00:14:09,760 --> 00:14:13,319 Speaker 1: something like a language. We still haven't cracked it yet, 243 00:14:13,360 --> 00:14:16,880 Speaker 1: but it's starting to be clear that the Inca did 244 00:14:17,160 --> 00:14:21,080 Speaker 1: develop a written language. We just can't understand it and 245 00:14:21,120 --> 00:14:22,680 Speaker 1: the way that it was lost to history is the 246 00:14:22,760 --> 00:14:26,520 Speaker 1: same as if um, all of the monks in England 247 00:14:26,840 --> 00:14:29,760 Speaker 1: have been killed off in dred when they were the 248 00:14:29,800 --> 00:14:32,440 Speaker 1: only ones who knew how to read and write, that 249 00:14:32,680 --> 00:14:35,960 Speaker 1: the like that stuff that they encoded in in English 250 00:14:36,320 --> 00:14:39,520 Speaker 1: would have been lost to the English people who survived 251 00:14:40,000 --> 00:14:42,080 Speaker 1: and who are still around today but have no I 252 00:14:42,120 --> 00:14:44,520 Speaker 1: couldn't tell you what this Bible says because it's in 253 00:14:44,560 --> 00:14:47,280 Speaker 1: English and the monks didn't live long enough to pass 254 00:14:47,280 --> 00:14:51,640 Speaker 1: along how to do this. I loved that last analogy. 255 00:14:51,680 --> 00:14:55,800 Speaker 1: Thanks man, it's fantastic, Chuck, I appreciate that. I don't 256 00:14:55,840 --> 00:14:57,720 Speaker 1: want to push my luck any further, so let's end 257 00:14:57,760 --> 00:15:00,800 Speaker 1: this one, agreed. If you want to know more about 258 00:15:00,840 --> 00:15:02,800 Speaker 1: the Incas or keep you there's a lot out there 259 00:15:02,800 --> 00:15:04,680 Speaker 1: to learn. Just go check it out on the Internet 260 00:15:04,760 --> 00:15:07,000 Speaker 1: and in the meantime you can reach us via email, 261 00:15:07,040 --> 00:15:25,280 Speaker 1: It's Stuff podcast, how Stuff Works dot Com.