1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,720 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,800 --> 00:00:28,480 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,560 --> 00:00:31,840 Speaker 1: me Ben. We're joined as always with our superproducer likes 7 00:00:31,880 --> 00:00:36,000 Speaker 1: this code ename Doc Holiday Jackson. Most importantly, you are you. 8 00:00:36,000 --> 00:00:39,280 Speaker 1: You are here, and that makes this the stuff they 9 00:00:39,360 --> 00:00:42,080 Speaker 1: don't want you to know. It is the top of 10 00:00:42,120 --> 00:00:44,680 Speaker 1: the week, and this is a little something we like 11 00:00:44,800 --> 00:00:48,640 Speaker 1: to call strange news, which means we go to some 12 00:00:48,760 --> 00:00:51,360 Speaker 1: of the stories that you may have seen headlines about. 13 00:00:51,600 --> 00:00:53,599 Speaker 1: When we go to some of the stories you may 14 00:00:53,600 --> 00:00:56,640 Speaker 1: have not heard about in your neck of the global woods, 15 00:00:57,080 --> 00:01:01,560 Speaker 1: and along the way we run into some things on 16 00:01:01,760 --> 00:01:05,080 Speaker 1: the fringes of reporting, some of the stories that it 17 00:01:05,120 --> 00:01:10,080 Speaker 1: appears certain people may not want told. Things are going nuts. 18 00:01:10,240 --> 00:01:13,319 Speaker 1: You know, if you just look around today, you may 19 00:01:13,360 --> 00:01:18,199 Speaker 1: have recently heard that in uh the number of billionaires 20 00:01:18,240 --> 00:01:21,800 Speaker 1: in the world increased by over twelve percent, So they're 21 00:01:21,840 --> 00:01:24,840 Speaker 1: doing quite well. Give them a hand, although I'm sure 22 00:01:24,880 --> 00:01:28,360 Speaker 1: they can buy one for themselves. You know, you read 23 00:01:28,440 --> 00:01:32,360 Speaker 1: a really interesting article about very wealthy people who are 24 00:01:32,360 --> 00:01:36,000 Speaker 1: worth over one million dollars and how how much they 25 00:01:36,040 --> 00:01:40,080 Speaker 1: think about how much their heirs should get when they pass, 26 00:01:40,680 --> 00:01:42,600 Speaker 1: and how they have a lot of anxiety about that, 27 00:01:43,640 --> 00:01:45,560 Speaker 1: you know, but they don't want it to be too much, 28 00:01:45,600 --> 00:01:48,680 Speaker 1: because they want their heirs to not lose that sense 29 00:01:48,680 --> 00:01:51,040 Speaker 1: of needing to have a career and a good job 30 00:01:51,160 --> 00:01:56,640 Speaker 1: and be successful. Of It's a fascinating problem. I can't 31 00:01:56,640 --> 00:01:58,920 Speaker 1: wait till the other study comes out about the children 32 00:01:58,920 --> 00:02:01,880 Speaker 1: and millionaires who are worried they won't get enough money, 33 00:02:02,080 --> 00:02:04,120 Speaker 1: you know what I mean. I think the research is 34 00:02:04,200 --> 00:02:09,480 Speaker 1: probably there. Uh, let's see also Australia, France, the US 35 00:02:09,560 --> 00:02:13,360 Speaker 1: and the UK or mad at each other about nuclear submarines. 36 00:02:14,040 --> 00:02:17,520 Speaker 1: That's happening. Some people are traveling more often also, if 37 00:02:17,520 --> 00:02:20,240 Speaker 1: I'm not mistake, And Joe Biden forgot the name of 38 00:02:20,280 --> 00:02:24,080 Speaker 1: the Australian Prime Minister in a speech which didn't bode 39 00:02:24,080 --> 00:02:28,079 Speaker 1: particularly well for international relations with that country. Well, in 40 00:02:28,160 --> 00:02:30,880 Speaker 1: his defense, a lot of people don't know the name 41 00:02:30,919 --> 00:02:34,280 Speaker 1: of the Australian Prime minister. But it's kind of his job, 42 00:02:34,440 --> 00:02:38,760 Speaker 1: you know, to like remember those types of names. But 43 00:02:38,880 --> 00:02:43,680 Speaker 1: we just got a calm down now here. You just 44 00:02:43,720 --> 00:02:47,959 Speaker 1: have to say Scranton, Like that was his watchword during 45 00:02:48,000 --> 00:02:51,560 Speaker 1: the campaigns, you know, is like a baby he had 46 00:02:51,600 --> 00:02:55,639 Speaker 1: just had and every every policy conversation or debate led 47 00:02:55,639 --> 00:02:58,160 Speaker 1: back to Scranton. Well, scrant is where just the common 48 00:02:58,200 --> 00:03:01,880 Speaker 1: American blue collar workers exists. The archetype for that is 49 00:03:02,200 --> 00:03:04,280 Speaker 1: in scrant and everybody knows that has seen the office. 50 00:03:04,600 --> 00:03:07,120 Speaker 1: But yeah, I think his approval ratings are down a 51 00:03:07,120 --> 00:03:10,160 Speaker 1: good bit because of the whole Afghanistan debucle Right, Yeah, 52 00:03:10,200 --> 00:03:12,639 Speaker 1: that's and that's a bit of a poison pill. I 53 00:03:12,680 --> 00:03:15,320 Speaker 1: don't remember if I had said it on this show, 54 00:03:15,400 --> 00:03:20,720 Speaker 1: but that's that's something that happens with with successive administrations. 55 00:03:20,800 --> 00:03:24,360 Speaker 1: The deal had already been struck by the previous administration 56 00:03:24,400 --> 00:03:28,200 Speaker 1: who was following through with it. But for people who 57 00:03:28,200 --> 00:03:32,040 Speaker 1: think the U. S Should remain heavily involved in Afghanistan, 58 00:03:32,520 --> 00:03:34,680 Speaker 1: he's the one who got the Uh. He's the one 59 00:03:34,680 --> 00:03:37,400 Speaker 1: who drew the short straw, or as the Black Monday 60 00:03:37,480 --> 00:03:40,640 Speaker 1: Murders would say, he was in the stone chair. Uh. 61 00:03:40,840 --> 00:03:44,800 Speaker 1: That's that's a reference for like us and maybe maybe 62 00:03:44,840 --> 00:03:48,600 Speaker 1: a couple other people, but we're not talking about those things. Today. 63 00:03:48,600 --> 00:03:51,120 Speaker 1: We're just listing some stuff to let you know that 64 00:03:51,320 --> 00:03:55,040 Speaker 1: the world is continuing on. And in a show like this, really, 65 00:03:55,120 --> 00:03:59,400 Speaker 1: any show that talks about topical events, uh, you have 66 00:03:59,480 --> 00:04:01,400 Speaker 1: to understand in that there's going to be more to 67 00:04:01,480 --> 00:04:03,920 Speaker 1: the story, and they're going to be more stories that 68 00:04:04,000 --> 00:04:06,600 Speaker 1: people don't reach. The folks who probably get the closest 69 00:04:06,640 --> 00:04:09,760 Speaker 1: to it are good friends at the Daily Zeitgeist because 70 00:04:09,800 --> 00:04:12,920 Speaker 1: they do to like two shows a day now. But 71 00:04:13,120 --> 00:04:16,599 Speaker 1: we have carefully picked some things, a mix of the 72 00:04:16,680 --> 00:04:20,640 Speaker 1: funny but important, mix of the disturbing and important, and 73 00:04:20,760 --> 00:04:24,720 Speaker 1: a mix of the fringe. Yeah, it's also important if 74 00:04:24,720 --> 00:04:27,679 Speaker 1: you see a theme here, Um, maybe we ease into 75 00:04:27,720 --> 00:04:31,440 Speaker 1: it today. Guys. Uh, I've got I've got a good 76 00:04:31,480 --> 00:04:33,640 Speaker 1: set up for you know. Uh, you know, I used 77 00:04:33,640 --> 00:04:35,960 Speaker 1: to do that car show back in the day. And 78 00:04:36,440 --> 00:04:40,640 Speaker 1: one of the one of these statistics that often gets 79 00:04:41,279 --> 00:04:49,160 Speaker 1: kind of miss construed is the relationship between cows and cars. 80 00:04:49,360 --> 00:04:52,039 Speaker 1: Like you hear people say, and sometimes they had skin 81 00:04:52,080 --> 00:04:55,280 Speaker 1: in the car game, of course, they would say stuff like, well, 82 00:04:55,480 --> 00:04:59,800 Speaker 1: is the problem really automobiles? They're not the only sources 83 00:04:59,839 --> 00:05:03,720 Speaker 1: of these dangerous gases? What about cows? Right? Yeah, specifically 84 00:05:03,760 --> 00:05:06,400 Speaker 1: cow farts. Uh, we're not in burb seeding, which contained 85 00:05:06,400 --> 00:05:09,280 Speaker 1: a lot of methane um, which which are greenhouse gases. 86 00:05:09,279 --> 00:05:12,320 Speaker 1: But we're not talking about farts or burbs today. We're 87 00:05:12,320 --> 00:05:14,440 Speaker 1: talking about peeing. That's where I thought you were going 88 00:05:14,440 --> 00:05:16,279 Speaker 1: with that segue bend. I thought we're gonna talk about 89 00:05:16,279 --> 00:05:21,760 Speaker 1: like truck drivers peeing into bottles maybe, or truck drivers. 90 00:05:21,880 --> 00:05:26,560 Speaker 1: You know, the bottles definitely generate a lot of urine um. 91 00:05:27,000 --> 00:05:28,880 Speaker 1: You know, they end up kind of keeping around, you know, 92 00:05:28,920 --> 00:05:30,520 Speaker 1: for a while, until they make a stop. Maybe they 93 00:05:30,600 --> 00:05:32,800 Speaker 1: dump the bottles or use them. Not I'm not trying 94 00:05:32,839 --> 00:05:35,039 Speaker 1: to pigeonhole any truck drivers out there, and I know 95 00:05:35,080 --> 00:05:37,320 Speaker 1: that everyone doesn't do that, but it's certainly a thing 96 00:05:37,640 --> 00:05:40,040 Speaker 1: that some people do for good reason. It's more efficient 97 00:05:40,080 --> 00:05:44,280 Speaker 1: than stopping all the time. But cows p a lot, uh, 98 00:05:44,440 --> 00:05:48,680 Speaker 1: even baby cows. Calves generate something something in the neighborhood 99 00:05:48,720 --> 00:05:53,040 Speaker 1: of tens of gallons of urine every single day. Um 100 00:05:53,120 --> 00:05:58,479 Speaker 1: and urine. While it doesn't create methane, it does create ammonia. 101 00:05:58,839 --> 00:06:03,640 Speaker 1: It emits ammonia, and when it mixes with certain microbes 102 00:06:04,000 --> 00:06:06,640 Speaker 1: on the ground where cows are stepping because they're just 103 00:06:06,760 --> 00:06:09,520 Speaker 1: p and where they stand right, it can create something 104 00:06:09,560 --> 00:06:13,520 Speaker 1: called nitrous oxide. Yeah, that nitrous oxide. It's really similar 105 00:06:13,560 --> 00:06:16,320 Speaker 1: to what you get at the dentist. If I'm not mistaken, 106 00:06:16,360 --> 00:06:19,720 Speaker 1: the stuff that makes you kind of go under nitrous oxides. 107 00:06:19,800 --> 00:06:22,120 Speaker 1: Nitrous oxide. Right, maybe there's like a variation of it, 108 00:06:22,160 --> 00:06:26,200 Speaker 1: but that is definitely what laughing gas is is nitrous oxide. UM. 109 00:06:26,240 --> 00:06:30,279 Speaker 1: But it is apparently uh seven percent of all greenhouse 110 00:06:30,279 --> 00:06:34,080 Speaker 1: gases in the United States UH consists of nitrous oxide. 111 00:06:34,080 --> 00:06:38,800 Speaker 1: That's according to the Environmental Protection Agency, and cattle farms 112 00:06:39,120 --> 00:06:42,960 Speaker 1: are responsible for about half of the ammonia that's produced 113 00:06:43,000 --> 00:06:45,760 Speaker 1: in Europe. And a lot of this information was coming 114 00:06:45,800 --> 00:06:49,080 Speaker 1: from an excellent Smithsonian article that kind of gives the 115 00:06:49,160 --> 00:06:53,760 Speaker 1: rundown on this study that was done at the University 116 00:06:53,800 --> 00:06:57,960 Speaker 1: of Auckland UM in Australia that was published in the 117 00:06:58,040 --> 00:07:01,440 Speaker 1: peer review journal Current by Ology. And one of the 118 00:07:02,279 --> 00:07:06,160 Speaker 1: studies UM founders or I guess one of the author's 119 00:07:06,160 --> 00:07:09,360 Speaker 1: co authors of the study, who's an animal behavioral scientist 120 00:07:09,920 --> 00:07:15,360 Speaker 1: UH is a person named Lindsay Matthews. And this study 121 00:07:15,560 --> 00:07:19,160 Speaker 1: came about because of the problem that I just described that, Yes, 122 00:07:19,400 --> 00:07:23,240 Speaker 1: nitrous oxide is a big problem um in terms of 123 00:07:23,280 --> 00:07:25,640 Speaker 1: greenhouse gas, in terms of emission, in terms of the 124 00:07:25,680 --> 00:07:30,160 Speaker 1: overall portfolio of these pollutants in you know, the whole world. 125 00:07:30,320 --> 00:07:34,320 Speaker 1: An animal husbandry or you know, farms that are built 126 00:07:34,360 --> 00:07:37,800 Speaker 1: for generating meats and other byproducts of animals are a 127 00:07:37,920 --> 00:07:41,440 Speaker 1: huge part of this. And what the authors of the 128 00:07:41,440 --> 00:07:44,360 Speaker 1: study figured out how to do, um, they identify this 129 00:07:44,360 --> 00:07:47,080 Speaker 1: problem which something that was already very much a known thing, 130 00:07:47,440 --> 00:07:51,440 Speaker 1: but they figured out how to potty train cows. Yeah, 131 00:07:51,560 --> 00:07:54,880 Speaker 1: potty train cows and apparently, uh, it's not that hard 132 00:07:55,240 --> 00:07:57,720 Speaker 1: and it involves something very similar to we talked about 133 00:07:57,760 --> 00:08:00,840 Speaker 1: Ben very recently in our episode that I believe Matt 134 00:08:00,960 --> 00:08:05,040 Speaker 1: you were absent for UM about video game addiction, where 135 00:08:05,040 --> 00:08:08,560 Speaker 1: we talked about the idea of conditioning, of psychological conditioning, 136 00:08:08,560 --> 00:08:13,560 Speaker 1: whether classical conditioning or the type that BF Skinner did 137 00:08:13,800 --> 00:08:19,239 Speaker 1: that involved a reward response kind of triggering mechanism where 138 00:08:19,480 --> 00:08:21,760 Speaker 1: you do a thing, you get a treat, and if 139 00:08:21,760 --> 00:08:23,440 Speaker 1: you get the treat enough, you kind of just start 140 00:08:23,480 --> 00:08:25,480 Speaker 1: doing the thing without even needing the treat. Isn't the 141 00:08:25,560 --> 00:08:28,880 Speaker 1: gist of that, bim? Uh? Yeah, It hinges on a 142 00:08:28,920 --> 00:08:31,120 Speaker 1: couple of factors, you know, and There are a couple 143 00:08:31,200 --> 00:08:33,840 Speaker 1: of different genres or approaches you could take here, but 144 00:08:34,320 --> 00:08:38,440 Speaker 1: cows has domesticated mammals are going to be pretty easy 145 00:08:38,520 --> 00:08:42,920 Speaker 1: to train or condition in this way. I mean, you know, uh, 146 00:08:43,160 --> 00:08:48,600 Speaker 1: they feel things like they have emotions, right, they like rewards, 147 00:08:49,080 --> 00:08:51,880 Speaker 1: and it's they've they've got all the hardware, you know 148 00:08:51,920 --> 00:08:54,920 Speaker 1: what I mean. If anything, the weirdest thing, the weirdest 149 00:08:54,960 --> 00:08:58,120 Speaker 1: aspect of this is that no one has tried it before. 150 00:08:58,200 --> 00:09:01,440 Speaker 1: But I feel like somebody had right somewhere in the 151 00:09:01,880 --> 00:09:06,520 Speaker 1: millennial old history of people and cows. There had to 152 00:09:06,520 --> 00:09:09,880 Speaker 1: be at least one person before, right, who was like, 153 00:09:10,200 --> 00:09:11,920 Speaker 1: I don't know, let me see if I can make 154 00:09:11,920 --> 00:09:16,200 Speaker 1: a p over there exactly and make them p over there. 155 00:09:16,320 --> 00:09:20,240 Speaker 1: They did um with something they designed. UM that's essentially 156 00:09:20,280 --> 00:09:22,960 Speaker 1: a penned in area. It's kind of small, you know, 157 00:09:23,080 --> 00:09:25,760 Speaker 1: the cow can move around about in a circle, but 158 00:09:25,920 --> 00:09:27,560 Speaker 1: not much more room than that. I mean, think of 159 00:09:27,559 --> 00:09:29,679 Speaker 1: it as like a urinal stall. It really is about 160 00:09:29,760 --> 00:09:33,120 Speaker 1: that size in terms of the space to size of 161 00:09:33,160 --> 00:09:36,320 Speaker 1: the animal ratio. UM. But they call it a mulu. 162 00:09:36,800 --> 00:09:39,199 Speaker 1: I don't know if that's been trademarked. They better get 163 00:09:39,200 --> 00:09:41,000 Speaker 1: on that because that is too cute. M o O 164 00:09:41,600 --> 00:09:45,000 Speaker 1: l o o the mulu um. And the idea is 165 00:09:45,200 --> 00:09:49,760 Speaker 1: that they took sixteen Holstein calves um and got them 166 00:09:49,840 --> 00:09:54,079 Speaker 1: to use this. I guess that. I'm not quite exactly sure. 167 00:09:54,080 --> 00:09:56,760 Speaker 1: I've seen a video of how what happens once they 168 00:09:56,760 --> 00:09:58,679 Speaker 1: get inside there, but it is like sort of these 169 00:09:58,720 --> 00:10:01,280 Speaker 1: barn door kind of situations. Was like the doors to 170 00:10:01,360 --> 00:10:04,160 Speaker 1: a saloon they have to go through. Um. So I'm 171 00:10:04,160 --> 00:10:06,200 Speaker 1: wondering exactly how they got them in there in the 172 00:10:06,240 --> 00:10:09,320 Speaker 1: first place. But essentially what the idea was they would 173 00:10:09,360 --> 00:10:12,960 Speaker 1: get them in there enough where if they peed inside 174 00:10:13,120 --> 00:10:15,600 Speaker 1: of this pen, which again you can see a great 175 00:10:15,640 --> 00:10:18,320 Speaker 1: video from the Telegraph of this, this actual thing happening, 176 00:10:18,559 --> 00:10:21,360 Speaker 1: they would be rewarded with this little window that would 177 00:10:21,360 --> 00:10:23,960 Speaker 1: open up and like kind of uh, push out this 178 00:10:24,120 --> 00:10:27,520 Speaker 1: bucket of the sweet kind of molasses substance. They would then, 179 00:10:27,720 --> 00:10:30,079 Speaker 1: you know, lap up. It's like a nice, sweet little treat, 180 00:10:30,360 --> 00:10:33,840 Speaker 1: great little reward. In other circumstances, they would use crushed barley. 181 00:10:33,880 --> 00:10:38,200 Speaker 1: I believe if the cow peed in the little astro 182 00:10:38,280 --> 00:10:41,400 Speaker 1: turf urinal uh stall, let's just call it because it 183 00:10:41,480 --> 00:10:43,920 Speaker 1: is covered with astro turf, It's not like they're peeing 184 00:10:43,960 --> 00:10:46,200 Speaker 1: into a toilet or into a particular hole. They can 185 00:10:46,240 --> 00:10:49,160 Speaker 1: pee anywhere in this area, and then it's filtered down 186 00:10:49,600 --> 00:10:52,640 Speaker 1: and they're able to capture this stuff. What they're going 187 00:10:52,720 --> 00:10:56,000 Speaker 1: to do with it, that's uh, that's probably for another conversation. 188 00:10:56,320 --> 00:10:59,760 Speaker 1: But surely the stuff maybe has some use. Who knows 189 00:11:00,160 --> 00:11:04,760 Speaker 1: there's a nitrous oxide market exactly exactly? Maybe maybe that's 190 00:11:04,800 --> 00:11:08,280 Speaker 1: the thing. Steve Martin is the dentist from Little Chappo Horrors. 191 00:11:08,320 --> 00:11:11,200 Speaker 1: Come on, yeah, I'm listening to that song right after, 192 00:11:11,840 --> 00:11:15,000 Speaker 1: right after this recording. Now you've inspired me. Also, yes, 193 00:11:15,120 --> 00:11:18,080 Speaker 1: thanks to everybody wrote in let's just get in front 194 00:11:18,120 --> 00:11:21,520 Speaker 1: of this guy's b fifty twos wrote love shack. They 195 00:11:21,520 --> 00:11:25,120 Speaker 1: did not write sugar shack. Heartfelt apologies, thank you for 196 00:11:25,160 --> 00:11:30,280 Speaker 1: the man. Yeah, it's from a previous episode. I clocked 197 00:11:30,280 --> 00:11:32,320 Speaker 1: that to bend. I just we were moving so fast 198 00:11:32,360 --> 00:11:35,679 Speaker 1: that I didn't didn't say anything. Um, sugar shack is like, 199 00:11:36,120 --> 00:11:37,840 Speaker 1: what is I don't know if there's a song called 200 00:11:37,840 --> 00:11:42,960 Speaker 1: sugar there is there roll like a blue song or 201 00:11:42,960 --> 00:11:47,320 Speaker 1: something the Fireballs. Yeah that sounds right. I just thought 202 00:11:47,320 --> 00:11:49,040 Speaker 1: that was a place where you could go get food. 203 00:11:49,320 --> 00:11:54,440 Speaker 1: Isn't the sugar shack where that's true, but also in 204 00:11:54,480 --> 00:11:57,920 Speaker 1: California there is a chain of like uh um dinner 205 00:11:58,040 --> 00:12:02,560 Speaker 1: type spots called sugar shacks. I have derailed this not 206 00:12:02,640 --> 00:12:04,240 Speaker 1: at all. We're just talking about cow pe. We needed 207 00:12:04,240 --> 00:12:07,880 Speaker 1: a break. I brought that up because all the head 208 00:12:08,000 --> 00:12:12,000 Speaker 1: shops that I've seen lately, any head shops just has 209 00:12:12,120 --> 00:12:14,720 Speaker 1: a whole row of nitrous oxide that you could buy, 210 00:12:14,760 --> 00:12:17,400 Speaker 1: and they're like, this is not for whippets, this is 211 00:12:17,440 --> 00:12:20,600 Speaker 1: just nitrous oxide. How many head shops you go into, 212 00:12:20,800 --> 00:12:23,200 Speaker 1: you know, just on average per week? Now everyone that 213 00:12:23,280 --> 00:12:25,839 Speaker 1: I find, I go in there, do a quick inspection, 214 00:12:26,600 --> 00:12:33,280 Speaker 1: you know, as an okay exactly. Uh. There's a little 215 00:12:33,280 --> 00:12:35,760 Speaker 1: extra detail on to add. They did to get the 216 00:12:35,840 --> 00:12:38,640 Speaker 1: cows rare and to go for this trial, they gave 217 00:12:38,720 --> 00:12:40,839 Speaker 1: them diuretic, so it made them more likely to have 218 00:12:40,880 --> 00:12:43,000 Speaker 1: to be But they don't make it quite clear how 219 00:12:43,160 --> 00:12:46,079 Speaker 1: they knew. Again, it's a small area and they have 220 00:12:46,160 --> 00:12:47,640 Speaker 1: to get them to go in there, so maybe they 221 00:12:47,720 --> 00:12:49,760 Speaker 1: start to kind of tinkle a little bit. They're like, okay, 222 00:12:50,200 --> 00:12:53,360 Speaker 1: Calie going in here and then and do your business. Um. 223 00:12:53,480 --> 00:12:55,920 Speaker 1: But to me, it's all about timing, and the training 224 00:12:56,160 --> 00:13:00,160 Speaker 1: involves them knowing they have to pee and training them 225 00:13:00,240 --> 00:13:02,760 Speaker 1: to hold it until they get to you know, the 226 00:13:02,960 --> 00:13:06,400 Speaker 1: the pen um. So if they don't do it right, 227 00:13:06,520 --> 00:13:08,840 Speaker 1: they would get spritched with a little bit of cold 228 00:13:08,880 --> 00:13:13,559 Speaker 1: water or an un quote unpleasant sound would play. Um. 229 00:13:13,760 --> 00:13:18,160 Speaker 1: And within the course of around ten training days is 230 00:13:18,200 --> 00:13:19,599 Speaker 1: what they were for to it as, which makes me 231 00:13:19,679 --> 00:13:23,640 Speaker 1: think of you know, King Kong and gut on me. Um. 232 00:13:24,800 --> 00:13:28,880 Speaker 1: They were able to train eleven to do it correctly 233 00:13:29,120 --> 00:13:33,600 Speaker 1: and consistently. Um. And the idea is that if they 234 00:13:33,679 --> 00:13:38,640 Speaker 1: can isolate where this urination is happening or mick duration 235 00:13:39,000 --> 00:13:40,480 Speaker 1: as they refer to it in the study, which I 236 00:13:40,480 --> 00:13:41,880 Speaker 1: want to read you a couple of lines from because 237 00:13:41,920 --> 00:13:45,040 Speaker 1: it's really uh, it's it's very aera diet potty language, 238 00:13:45,120 --> 00:13:48,600 Speaker 1: which is a delight to me. Um, then they can 239 00:13:48,920 --> 00:13:52,480 Speaker 1: significantly cut down on greenhouse gases. They were saying, if 240 00:13:52,520 --> 00:13:55,480 Speaker 1: they can get eight of the world's cattle to do this, 241 00:13:56,000 --> 00:13:58,679 Speaker 1: they could cut down on something in the neighborhood of 242 00:13:58,800 --> 00:14:04,480 Speaker 1: fifty six of the ammonia emissions in the entire planet. Um. 243 00:14:04,679 --> 00:14:07,400 Speaker 1: So that's that's a pretty big deal. Um. That's really 244 00:14:08,000 --> 00:14:09,640 Speaker 1: the gist of it. I'd love to hear you guys thoughts, 245 00:14:09,679 --> 00:14:11,199 Speaker 1: but I just want to read the first couple of 246 00:14:11,200 --> 00:14:14,719 Speaker 1: sentences of this study because it's delightful. Indiscriminate voiding of 247 00:14:14,800 --> 00:14:18,319 Speaker 1: ex greta by cattle contributes to greenhouse gas h G 248 00:14:18,640 --> 00:14:22,480 Speaker 1: emissions and soil and water contamination emissions are higher, and 249 00:14:22,560 --> 00:14:26,240 Speaker 1: animal friendly husbandry offering cattle more space a tradeoff we 250 00:14:26,360 --> 00:14:30,760 Speaker 1: call the climate killer conundrum. Voiding in a specific location 251 00:14:31,080 --> 00:14:35,000 Speaker 1: latrine would help resolve this dilemma by allowing ready capture 252 00:14:35,080 --> 00:14:39,680 Speaker 1: and treatment of ex greta under more spacious farming conditions. Um. 253 00:14:40,160 --> 00:14:41,840 Speaker 1: I love this, And I also want to point out 254 00:14:41,920 --> 00:14:44,280 Speaker 1: something that is mentioned in the very first sentence is 255 00:14:44,360 --> 00:14:47,280 Speaker 1: that this is also about runoff. That this stuff you know, 256 00:14:47,440 --> 00:14:50,760 Speaker 1: can literally contaminate water supplies as well, you know, for 257 00:14:51,000 --> 00:14:55,480 Speaker 1: drinking water. So um. Kind of a multifold solution to 258 00:14:55,680 --> 00:14:58,880 Speaker 1: to a pretty significant problem that involves something real cute. 259 00:14:58,960 --> 00:15:01,000 Speaker 1: The idea of, you know, train little baby cows to 260 00:15:01,320 --> 00:15:04,200 Speaker 1: to pee in a in a latrine stall. Well, at 261 00:15:04,240 --> 00:15:07,560 Speaker 1: least they're not drilling holes down into aquifers like a 262 00:15:07,640 --> 00:15:11,280 Speaker 1: certain company that's been making the news lately. Yeah, that 263 00:15:11,320 --> 00:15:14,600 Speaker 1: seems way more friendly and benign than that they're just 264 00:15:14,800 --> 00:15:19,040 Speaker 1: they're just avoiding their experta down into the aquifers eventually. Well, yeah, 265 00:15:19,320 --> 00:15:22,520 Speaker 1: I have a question here because it's it's a question 266 00:15:22,600 --> 00:15:24,520 Speaker 1: that I know it can be a bummer for some folks, 267 00:15:24,600 --> 00:15:27,640 Speaker 1: but I think it is an important question. So these 268 00:15:27,760 --> 00:15:31,320 Speaker 1: cows are not based in the US, right, so there 269 00:15:31,400 --> 00:15:34,160 Speaker 1: are different laws governing how they have to be treated, 270 00:15:34,840 --> 00:15:37,680 Speaker 1: what their quality of life maybe, and it's you know, 271 00:15:37,920 --> 00:15:40,440 Speaker 1: it's admittedly pretty low and a lot of situations in 272 00:15:40,480 --> 00:15:43,640 Speaker 1: the US. But I'm wondering, if you know, I set 273 00:15:43,680 --> 00:15:45,200 Speaker 1: this up a little earlier when I said, you know, 274 00:15:45,280 --> 00:15:49,440 Speaker 1: they're obviously intelligent enough to experience emotion like humans do. 275 00:15:50,080 --> 00:15:53,800 Speaker 1: Are they intelligent enough to experience boredom? And if so, 276 00:15:54,440 --> 00:15:58,480 Speaker 1: is doing this like a new interesting thing? Next question? 277 00:15:58,600 --> 00:16:00,360 Speaker 1: What else can you train them to do? You know 278 00:16:00,440 --> 00:16:02,320 Speaker 1: what I mean, We're we're on the cusp of something 279 00:16:02,440 --> 00:16:05,800 Speaker 1: big here. I I agree, And honestly, I always kind 280 00:16:05,840 --> 00:16:09,160 Speaker 1: of realized cows, you know, we're relatively intelligent creatures. But 281 00:16:09,480 --> 00:16:12,120 Speaker 1: it always kind of blows my mind the lines that we, 282 00:16:12,560 --> 00:16:15,560 Speaker 1: you know, culturally draw between animals that were comfortable with 283 00:16:15,680 --> 00:16:19,080 Speaker 1: slaughtering and eating and ones that were not, like even 284 00:16:19,160 --> 00:16:21,360 Speaker 1: rabbits are sort of on the fence. But like you know, 285 00:16:21,600 --> 00:16:24,320 Speaker 1: cattle are okay, even though we can totally train them 286 00:16:24,360 --> 00:16:26,560 Speaker 1: to go to the bathroom quicker than you can't even 287 00:16:26,600 --> 00:16:29,160 Speaker 1: a toddler. That was the big takeaway in the study 288 00:16:29,240 --> 00:16:31,800 Speaker 1: that made all the headlines, like cows can be trained 289 00:16:31,880 --> 00:16:36,040 Speaker 1: to use the potty uh more readily than toddlers. So, 290 00:16:36,120 --> 00:16:38,200 Speaker 1: I don't know, it's just something interesting to think about again. 291 00:16:38,200 --> 00:16:40,440 Speaker 1: And I'm not like some sort of you know, vegan 292 00:16:40,640 --> 00:16:42,840 Speaker 1: or anti meat eater person at all. I just think 293 00:16:42,880 --> 00:16:45,240 Speaker 1: it's interesting culturally the way we you know, have those 294 00:16:45,280 --> 00:16:47,560 Speaker 1: lines in the sand, uh. And it sure seems like 295 00:16:47,720 --> 00:16:52,000 Speaker 1: cows are pretty gentle uh and intelligent creatures um that 296 00:16:52,360 --> 00:16:57,239 Speaker 1: exist largely for our consumption. Just you know, those taboos 297 00:16:57,320 --> 00:17:02,240 Speaker 1: are taboos of convenience. People will eat anything up to 298 00:17:02,440 --> 00:17:04,680 Speaker 1: and including each other if it means they get to 299 00:17:04,720 --> 00:17:08,760 Speaker 1: live one more day, you know what I mean in um. 300 00:17:08,840 --> 00:17:10,960 Speaker 1: But anyway, anyway, something interested to keep an eye on 301 00:17:11,320 --> 00:17:13,640 Speaker 1: really quickly. Just at the end here, do you guys 302 00:17:13,720 --> 00:17:16,600 Speaker 1: see any like how would you scale this? You know 303 00:17:16,640 --> 00:17:19,240 Speaker 1: what I mean? It would require training, like it would 304 00:17:19,240 --> 00:17:23,320 Speaker 1: require putting in place like this whole extra step uh 305 00:17:23,600 --> 00:17:25,639 Speaker 1: in the process. And then you know, maybe they had 306 00:17:25,680 --> 00:17:28,920 Speaker 1: some luck with a small sample size, but as we know, 307 00:17:29,320 --> 00:17:34,280 Speaker 1: you know, psychology is different per individual, so maybe it 308 00:17:34,320 --> 00:17:37,359 Speaker 1: wouldn't be a success rate. You know, if they were 309 00:17:37,400 --> 00:17:40,119 Speaker 1: trying to train massive quantities of calves to do this, 310 00:17:40,680 --> 00:17:45,280 Speaker 1: they would probably teach their young at some point. So UM, 311 00:17:45,480 --> 00:17:47,760 Speaker 1: I think it also again goes back to their living 312 00:17:47,880 --> 00:17:51,240 Speaker 1: the living standards of the cattle. If there, if they're 313 00:17:51,240 --> 00:17:54,520 Speaker 1: an ingregious, really crowded conditions, it may be physically impossible 314 00:17:54,560 --> 00:17:57,560 Speaker 1: for them to do this. I agree. Uh. And another 315 00:17:57,640 --> 00:18:00,080 Speaker 1: thing I wanted to end on is this all so 316 00:18:00,760 --> 00:18:03,280 Speaker 1: uh is more sanitary for the for the roaming you know, 317 00:18:03,400 --> 00:18:06,720 Speaker 1: for the cattle, the grazing conditions since you know, the 318 00:18:06,920 --> 00:18:10,880 Speaker 1: urine is isolated to an area where it can drain away. Um. 319 00:18:11,040 --> 00:18:14,000 Speaker 1: I'm sure that latrine and the ASTROI trip that doesn't 320 00:18:14,000 --> 00:18:17,760 Speaker 1: smell great, but it certainly leads to cleaner conditions than 321 00:18:17,920 --> 00:18:20,480 Speaker 1: you know, if they were just going wherever we This 322 00:18:20,640 --> 00:18:25,440 Speaker 1: is great and the u N just again said hey, everybody, hey, 323 00:18:25,880 --> 00:18:29,320 Speaker 1: we should do something about you know, climate change, and 324 00:18:29,400 --> 00:18:31,280 Speaker 1: we should do it faster than we've been doing it. 325 00:18:31,720 --> 00:18:35,000 Speaker 1: So let's do that. Uh, And you know that's just 326 00:18:35,160 --> 00:18:38,520 Speaker 1: the u N and members of the UN saying that again. 327 00:18:39,400 --> 00:18:42,960 Speaker 1: But this could be one small step towards helping out 328 00:18:43,000 --> 00:18:45,399 Speaker 1: a little bit, at least in some small way, if 329 00:18:45,480 --> 00:18:48,719 Speaker 1: it can be, like you said, applied on a wide scale, 330 00:18:49,000 --> 00:18:56,280 Speaker 1: one small stream time. Get out of my head, you 331 00:18:56,880 --> 00:18:59,639 Speaker 1: son of a I love it. I just had a 332 00:18:59,720 --> 00:19:03,200 Speaker 1: vision of Alex Jones yelling that loudly. I was just 333 00:19:03,320 --> 00:19:05,760 Speaker 1: fun because I mean, even with the zoom delay, we 334 00:19:05,960 --> 00:19:08,800 Speaker 1: kind of got that out at the exact same time. Then, 335 00:19:08,960 --> 00:19:10,800 Speaker 1: I love you so much, dude. We can leave it 336 00:19:10,920 --> 00:19:13,240 Speaker 1: with that, I think, and have a quick sponsor break 337 00:19:13,680 --> 00:19:23,000 Speaker 1: and then be back with more strange news and we're back. 338 00:19:23,520 --> 00:19:27,080 Speaker 1: I hope you enjoyed those commercials. We are switching gears, 339 00:19:27,200 --> 00:19:31,080 Speaker 1: So prepare yourselves. If you have been paying any attention 340 00:19:31,280 --> 00:19:33,879 Speaker 1: to your news feed that comes on your phone, on 341 00:19:33,960 --> 00:19:37,359 Speaker 1: whichever app you choose to use. If you've looked at 342 00:19:37,400 --> 00:19:39,680 Speaker 1: a television, whether in a bar or at your home, 343 00:19:39,840 --> 00:19:42,320 Speaker 1: and news was on that television, you've likely heard of 344 00:19:42,440 --> 00:19:48,480 Speaker 1: Gabby Petito and Brian Laundry. Now this is another missing 345 00:19:48,560 --> 00:19:52,159 Speaker 1: person's case. There are a lot of those in the 346 00:19:52,280 --> 00:19:54,879 Speaker 1: United States, we've spoken about these before in the past. 347 00:19:55,000 --> 00:19:59,119 Speaker 1: Depending on the demographics of the missing person, uh, it 348 00:19:59,280 --> 00:20:01,919 Speaker 1: may or may not get the most attention you've ever 349 00:20:02,000 --> 00:20:07,560 Speaker 1: seen a case get, or the least attention or zero attention. 350 00:20:08,240 --> 00:20:10,879 Speaker 1: But in this case, it is a young twenty two 351 00:20:11,000 --> 00:20:14,520 Speaker 1: year old woman, and it's all over the place. Everyone. 352 00:20:15,320 --> 00:20:18,040 Speaker 1: Everyone pretty much knows who this is. NOL. You were 353 00:20:18,080 --> 00:20:20,720 Speaker 1: saying you haven't seen it come across NPR or anything 354 00:20:20,800 --> 00:20:23,680 Speaker 1: like that, not yet, I mean, and I've I haven't 355 00:20:23,720 --> 00:20:26,640 Speaker 1: watched like, you know, cable news since last week when 356 00:20:26,640 --> 00:20:29,080 Speaker 1: I was at the gym um, and I don't really 357 00:20:29,119 --> 00:20:32,639 Speaker 1: typically watch that at home. I guess I haven't been 358 00:20:32,680 --> 00:20:35,520 Speaker 1: looking at Facebook much either, just mainly Instagram. So this 359 00:20:35,680 --> 00:20:37,760 Speaker 1: is kind of news to me. But I'm sorry to 360 00:20:37,840 --> 00:20:40,520 Speaker 1: hear this. That doesn't sound like a good story. Yeah, 361 00:20:40,640 --> 00:20:43,800 Speaker 1: it's it's not a good story, but I'm honestly surprised 362 00:20:43,840 --> 00:20:46,919 Speaker 1: that it hasn't made it across somebody's Instagram feed at 363 00:20:46,960 --> 00:20:49,119 Speaker 1: some point. But let's just move while. I'll tell you 364 00:20:49,160 --> 00:20:52,080 Speaker 1: where we are, because I've been following this since I 365 00:20:52,160 --> 00:20:54,919 Speaker 1: believe it was the twentieth anniversary of September eleven. That's 366 00:20:54,960 --> 00:20:57,840 Speaker 1: when I think I heard the first murmurings about it, 367 00:20:58,400 --> 00:21:02,840 Speaker 1: that is around the time when Gabby's parents reported her missing. 368 00:21:03,400 --> 00:21:07,879 Speaker 1: And that's really when I noticed that. Every morning when 369 00:21:07,960 --> 00:21:10,639 Speaker 1: I woke up on my Apple news feed, there was 370 00:21:10,680 --> 00:21:14,600 Speaker 1: an update, and around mid afternoon there was another update, 371 00:21:15,080 --> 00:21:18,680 Speaker 1: and then around the evening a third update. And it's 372 00:21:18,800 --> 00:21:22,040 Speaker 1: just pretty much a story that's been continually cycling through 373 00:21:22,119 --> 00:21:26,240 Speaker 1: your NBC's, ABC, CBS, IS, CNNs, all of these major 374 00:21:26,320 --> 00:21:29,240 Speaker 1: news outlets are covering this thing on an hourly basis. 375 00:21:29,720 --> 00:21:31,960 Speaker 1: I'm gonna give you where we stand right now as 376 00:21:32,160 --> 00:21:36,840 Speaker 1: of that this is a Monday, when we're recording this 377 00:21:37,400 --> 00:21:40,520 Speaker 1: what's happened thus far, just in the past. I think 378 00:21:40,600 --> 00:21:43,520 Speaker 1: this is a day. Ben, You correct me if I'm 379 00:21:43,560 --> 00:21:45,040 Speaker 1: wrong here, but I think this is in roughly a 380 00:21:45,160 --> 00:21:47,119 Speaker 1: day's time. All the things that I'm going to be 381 00:21:47,200 --> 00:21:50,560 Speaker 1: discussing here maybe two days. So before we go into 382 00:21:50,720 --> 00:21:53,200 Speaker 1: the news that we're going to discuss today, let's just 383 00:21:53,480 --> 00:21:58,040 Speaker 1: give the absolute basics. You can go to CNN, Fox News, 384 00:21:58,119 --> 00:22:01,560 Speaker 1: whatever you choose to to read and see a timeline. 385 00:22:02,320 --> 00:22:07,080 Speaker 1: Gabby and her boyfriend Brian went on a long road 386 00:22:07,119 --> 00:22:13,040 Speaker 1: trip the end of June. Throughout the end of August. 387 00:22:13,760 --> 00:22:17,119 Speaker 1: They were traveling from New York all the way across 388 00:22:17,200 --> 00:22:20,159 Speaker 1: from the East coast to the West coast, going through 389 00:22:20,200 --> 00:22:24,720 Speaker 1: a bunch of national you know, national parks, visiting some monuments, 390 00:22:24,760 --> 00:22:28,240 Speaker 1: things like that, and they they were, I guess, through 391 00:22:28,280 --> 00:22:32,640 Speaker 1: social media documenting everything. Right, So we've got a couple 392 00:22:32,680 --> 00:22:35,640 Speaker 1: of interesting things coinciding here. We've got a missing person's 393 00:22:35,680 --> 00:22:37,920 Speaker 1: case and a person who is very active on social 394 00:22:38,000 --> 00:22:40,880 Speaker 1: media and is and I think for some reason, those 395 00:22:40,920 --> 00:22:46,280 Speaker 1: two things together have caused this case to really become elevated. Um, 396 00:22:46,640 --> 00:22:50,960 Speaker 1: particularly the number of followers that Petito had. Correct. God, 397 00:22:51,000 --> 00:22:54,800 Speaker 1: there's a lot to discuss here. But Petito Gabby ended 398 00:22:54,880 --> 00:22:58,159 Speaker 1: up not making contact with her parents towards the end 399 00:22:58,200 --> 00:23:02,280 Speaker 1: of August when contact should have been made, and they 400 00:23:02,320 --> 00:23:05,360 Speaker 1: were unable to get in touch with their daughter. Then 401 00:23:06,400 --> 00:23:11,960 Speaker 1: apparently the boyfriend drove home to Florida and didn't contact 402 00:23:12,520 --> 00:23:15,119 Speaker 1: Potito's parents to tell them what was going on or 403 00:23:15,160 --> 00:23:18,800 Speaker 1: what happened. It all became this weird situation where there's 404 00:23:18,840 --> 00:23:21,879 Speaker 1: so much mystery around what the boyfriend was doing and 405 00:23:22,080 --> 00:23:26,320 Speaker 1: why why he lawyered up to many people who were 406 00:23:26,359 --> 00:23:30,720 Speaker 1: following this, they immediately saw that as a very hard 407 00:23:30,800 --> 00:23:33,879 Speaker 1: tell that something wrong had happened, something terrible had happened, 408 00:23:34,359 --> 00:23:37,159 Speaker 1: and the guy was dodging the police. And now it 409 00:23:37,240 --> 00:23:40,080 Speaker 1: has evolved very much over the past couple of days. 410 00:23:40,119 --> 00:23:42,720 Speaker 1: So let's get into the news. The first thing that 411 00:23:42,880 --> 00:23:46,440 Speaker 1: happened was the FBI began searching a very specific area 412 00:23:46,600 --> 00:23:49,399 Speaker 1: of Grand Titon National Park, which is out there in 413 00:23:49,480 --> 00:23:51,600 Speaker 1: the west. You can look all of this up if 414 00:23:51,600 --> 00:23:54,320 Speaker 1: you wish. There's an NBC New York article titled Gabby 415 00:23:54,359 --> 00:23:58,359 Speaker 1: Potito search expands FBI looking for witnesses from a specific campground. 416 00:23:58,760 --> 00:24:02,280 Speaker 1: You can find all that information there. Then there was 417 00:24:02,359 --> 00:24:06,400 Speaker 1: another article, this one from CNN. This one was all 418 00:24:06,520 --> 00:24:11,440 Speaker 1: about now searching for Brian Laundry, who had disappeared and 419 00:24:11,840 --> 00:24:16,600 Speaker 1: escaped somehow into a reserve and nature reserve out in Florida, 420 00:24:17,280 --> 00:24:21,000 Speaker 1: fairly near his parents home. You can also look to 421 00:24:21,440 --> 00:24:25,920 Speaker 1: a story out of uh. This one was from NBC. Again, 422 00:24:26,240 --> 00:24:29,560 Speaker 1: this one is the major part of the story that 423 00:24:29,600 --> 00:24:31,600 Speaker 1: we were going to bring up today. But then everything 424 00:24:31,720 --> 00:24:35,560 Speaker 1: is evolved since then as well. This morning, the FBI 425 00:24:35,800 --> 00:24:40,440 Speaker 1: said that a body quote that is consistent with the 426 00:24:40,560 --> 00:24:44,920 Speaker 1: description of Gabby Petito was found in the park or 427 00:24:44,960 --> 00:24:46,879 Speaker 1: in an area of the park where they were searching. 428 00:24:47,960 --> 00:24:50,720 Speaker 1: So it is very likely that by the time you 429 00:24:50,920 --> 00:24:56,080 Speaker 1: hear this, this body has been identified as Gabby Petito 430 00:24:56,800 --> 00:25:00,240 Speaker 1: and the hunt for the boyfriend Brian Laundry, you will 431 00:25:00,280 --> 00:25:03,320 Speaker 1: be going strong or they will have apprehended him or 432 00:25:03,440 --> 00:25:06,080 Speaker 1: found his body. Who knows. That's the thing about doing 433 00:25:06,119 --> 00:25:09,080 Speaker 1: a story like this, So much can happen between the 434 00:25:09,119 --> 00:25:10,800 Speaker 1: time that we sit down and record this and then 435 00:25:10,880 --> 00:25:14,000 Speaker 1: you hear it. That's why we very much avoid these 436 00:25:14,119 --> 00:25:17,760 Speaker 1: kinds of stories. But again, there's so much out there 437 00:25:17,840 --> 00:25:19,840 Speaker 1: about this right now, it's getting so much attention, we 438 00:25:19,880 --> 00:25:22,359 Speaker 1: felt like we had to at least mention it here. Yeah, 439 00:25:22,520 --> 00:25:25,920 Speaker 1: that's one of the things. That's one of the things 440 00:25:26,040 --> 00:25:29,440 Speaker 1: that you and I talked about Matt off air, because 441 00:25:29,680 --> 00:25:34,159 Speaker 1: I I realized, I'm honestly the one who often is 442 00:25:34,600 --> 00:25:37,680 Speaker 1: most hesitant to go to something that continues to have 443 00:25:38,480 --> 00:25:41,560 Speaker 1: and evolving event curve I would call it, you know, 444 00:25:42,119 --> 00:25:44,600 Speaker 1: was so much on the horizon, and so I was 445 00:25:44,680 --> 00:25:49,320 Speaker 1: the one going, okay, let's check everything like right as 446 00:25:49,359 --> 00:25:52,359 Speaker 1: we're going on air, and then I even um, while 447 00:25:52,480 --> 00:25:54,639 Speaker 1: while you were walking us through the basics here, as 448 00:25:54,880 --> 00:25:59,040 Speaker 1: I was also going Okay, let's just check just in 449 00:25:59,160 --> 00:26:02,480 Speaker 1: case found this guy, and then we'll probably check again 450 00:26:03,040 --> 00:26:06,280 Speaker 1: at the end. But I completely agree with your assessment. 451 00:26:06,960 --> 00:26:10,399 Speaker 1: There is one thing that puts me off just a bit. 452 00:26:10,960 --> 00:26:13,840 Speaker 1: And I want to say this carefully, and I don't 453 00:26:13,960 --> 00:26:17,160 Speaker 1: want it to be mistaken as a cold comment. In fact, 454 00:26:17,240 --> 00:26:20,600 Speaker 1: it's quite the opposite. It's a larger aspect. Before we 455 00:26:20,720 --> 00:26:23,160 Speaker 1: dive into the recent developments here, I want to make 456 00:26:23,200 --> 00:26:24,920 Speaker 1: a note for everybody, and I hope I'm not the 457 00:26:24,960 --> 00:26:29,560 Speaker 1: only person thinking this. How many other people went missing 458 00:26:29,960 --> 00:26:32,639 Speaker 1: in the month of August, how many people went missing 459 00:26:32,720 --> 00:26:36,119 Speaker 1: this year? How many people went missing in in the 460 00:26:36,240 --> 00:26:39,280 Speaker 1: US alone. I can pull the statistics. I have them, 461 00:26:39,440 --> 00:26:43,639 Speaker 1: we can save them for a future episode, but they're sobering, okay, 462 00:26:43,920 --> 00:26:48,359 Speaker 1: and they're not They're not great statistics, just doubt spoiler. 463 00:26:48,760 --> 00:26:52,000 Speaker 1: There's not a year where zero people disappeared, and there's 464 00:26:52,040 --> 00:26:54,120 Speaker 1: not a year where all the people who disappeared made 465 00:26:54,160 --> 00:26:57,720 Speaker 1: it back or we're found. And so I think about 466 00:26:57,800 --> 00:27:01,240 Speaker 1: this sometimes when we we have other cases that pop 467 00:27:01,400 --> 00:27:05,000 Speaker 1: up in in the past in the US where where 468 00:27:05,080 --> 00:27:08,560 Speaker 1: one person goes missing and they dominate the headlines and 469 00:27:08,840 --> 00:27:12,240 Speaker 1: for you know, for the parents, beloved ones, the survivors 470 00:27:12,680 --> 00:27:15,840 Speaker 1: of these folks who, for one reason or another become 471 00:27:16,160 --> 00:27:20,520 Speaker 1: an object of national and international focus. I I hope 472 00:27:20,560 --> 00:27:26,200 Speaker 1: that that attention brings a resolution, right because this as 473 00:27:26,280 --> 00:27:30,560 Speaker 1: we're recording this right now, it hasn't been ruled a homicide, 474 00:27:31,280 --> 00:27:35,320 Speaker 1: just to be very clear. But I I would also like, 475 00:27:35,680 --> 00:27:37,600 Speaker 1: I'm not going to be one of the people who saying, 476 00:27:37,960 --> 00:27:41,200 Speaker 1: don't pay this much attention to a single tragedy, But 477 00:27:41,280 --> 00:27:44,879 Speaker 1: I'm asking why this much attention is not paid to 478 00:27:45,240 --> 00:27:48,359 Speaker 1: every tragedy, you know, And they're more cynical folks in 479 00:27:48,400 --> 00:27:50,840 Speaker 1: the crowd who are thinking of the cases that I'm 480 00:27:50,880 --> 00:27:53,760 Speaker 1: alluding to in the past, and for some of us, 481 00:27:54,160 --> 00:27:56,960 Speaker 1: some of the more cynical, there's a very obvious and 482 00:27:57,080 --> 00:28:02,160 Speaker 1: disturbing reason behind the discrepancy and coverage and the discrepancy 483 00:28:02,359 --> 00:28:05,320 Speaker 1: in diligence on law enforcements. Part is it because it's 484 00:28:05,560 --> 00:28:10,280 Speaker 1: an attractive, young, blonde, white woman. Sorry, is that what 485 00:28:10,359 --> 00:28:12,680 Speaker 1: you're getting out? Maybe I'm asking off, Mike and I'm 486 00:28:12,760 --> 00:28:16,480 Speaker 1: literally just sipping Okay, Well, yeah, we talked about that 487 00:28:16,560 --> 00:28:22,080 Speaker 1: before on this show, specifically with indigenous women, women of 488 00:28:22,240 --> 00:28:26,840 Speaker 1: tribes in certain parts of the Northwest and in southwest 489 00:28:27,359 --> 00:28:31,000 Speaker 1: United States. I'm thinking about the up and vanished case 490 00:28:31,080 --> 00:28:34,240 Speaker 1: on season three this year is about a Native American 491 00:28:34,280 --> 00:28:37,920 Speaker 1: woman who went missing in seventeen. Um. You know, we've 492 00:28:37,960 --> 00:28:42,720 Speaker 1: we've talked about that a lot. But yeah, also, yeah, 493 00:28:43,120 --> 00:28:46,640 Speaker 1: people who are missing who are not white women understanding. 494 00:28:46,720 --> 00:28:49,960 Speaker 1: And again, this is what I am saying is the 495 00:28:50,200 --> 00:28:55,880 Speaker 1: opposite of It's very much the opposite of uh saying like, 496 00:28:56,280 --> 00:28:59,760 Speaker 1: don't pay as much attention to this one missing person's case. 497 00:29:00,000 --> 00:29:05,160 Speaker 1: It's just asking doesn't everybody and doesn't everybody's family and 498 00:29:05,240 --> 00:29:07,800 Speaker 1: the relatives and their loved ones. Don't they all deserve 499 00:29:08,120 --> 00:29:12,000 Speaker 1: that same level of investigation. I think So, It's like 500 00:29:12,160 --> 00:29:16,440 Speaker 1: we've talked about recently, um, referencing the work of David 501 00:29:16,480 --> 00:29:19,160 Speaker 1: Politis and and looking at all these registries, you know, 502 00:29:19,440 --> 00:29:23,320 Speaker 1: the people that have disappeared in different parks across the US, 503 00:29:23,400 --> 00:29:26,400 Speaker 1: and how there is a discrepancy as to what kind 504 00:29:26,440 --> 00:29:28,040 Speaker 1: of treatment they get, and if you look at you know, 505 00:29:28,360 --> 00:29:30,640 Speaker 1: the reporting on this and even the police department, the 506 00:29:30,720 --> 00:29:33,560 Speaker 1: Northport Police Department has a tweet where it just shows 507 00:29:33,600 --> 00:29:37,240 Speaker 1: an absolute man hunt, you know, with people decked out 508 00:29:37,320 --> 00:29:42,640 Speaker 1: in um flat jackets and you know, all kinds of volunteers, 509 00:29:42,720 --> 00:29:44,720 Speaker 1: and it's just, you know, a real effort, and it 510 00:29:44,800 --> 00:29:47,120 Speaker 1: certainly does not feel like every one of these cases 511 00:29:47,200 --> 00:29:49,640 Speaker 1: that Politis reports gets this kind of treatment at all. 512 00:29:49,960 --> 00:29:53,960 Speaker 1: Some of them get no attention paid. So Matt with 513 00:29:54,160 --> 00:29:57,600 Speaker 1: that with like, I think you've done this amazing job 514 00:29:57,760 --> 00:30:01,440 Speaker 1: outlining the very basics some people still not may not 515 00:30:01,600 --> 00:30:04,080 Speaker 1: be aware of at this point. And as as we 516 00:30:04,160 --> 00:30:08,120 Speaker 1: were building, uh building toward it, we have to ask, like, 517 00:30:08,320 --> 00:30:13,080 Speaker 1: what what's the latest as we're recording today September twenty, Well, 518 00:30:13,120 --> 00:30:15,920 Speaker 1: the latest right now all focuses on the fact that 519 00:30:16,200 --> 00:30:22,200 Speaker 1: the boyfriend for some reason left that Grand Tito National 520 00:30:22,320 --> 00:30:26,400 Speaker 1: Park or that area and went back to Florida without Gabby, 521 00:30:26,880 --> 00:30:30,760 Speaker 1: at least to the to the best knowledge of people investigating, 522 00:30:31,440 --> 00:30:35,840 Speaker 1: and Gabby stopped contacting anyone right at the end of 523 00:30:35,880 --> 00:30:40,160 Speaker 1: August there and he then kind of was hiding at 524 00:30:40,240 --> 00:30:43,040 Speaker 1: his parents house and his parents and their attorneys were 525 00:30:43,160 --> 00:30:46,640 Speaker 1: not having him speak with authorities. And at the time 526 00:30:47,120 --> 00:30:49,880 Speaker 1: when this first began becoming a story, when he was 527 00:30:50,160 --> 00:30:54,080 Speaker 1: still just a missing person's case, the boyfriend, Brian was 528 00:30:54,160 --> 00:30:57,440 Speaker 1: just considered a person of interest and not a suspect 529 00:30:57,520 --> 00:31:01,240 Speaker 1: in any way, because there was the terrible thing, but 530 00:31:01,360 --> 00:31:04,080 Speaker 1: there was nobody so it was not a homicide, if 531 00:31:04,160 --> 00:31:06,960 Speaker 1: that makes sense. If this was just a missing persons 532 00:31:07,040 --> 00:31:09,360 Speaker 1: and he was they were interested in speaking with him. 533 00:31:09,600 --> 00:31:12,160 Speaker 1: The attorneys said, hey, don't do that, don't speak with 534 00:31:12,480 --> 00:31:16,160 Speaker 1: with law enforcement. So no action was taken by law 535 00:31:16,240 --> 00:31:19,040 Speaker 1: enforcement to speak with him. That's sketchy, is hell, Though 536 00:31:19,280 --> 00:31:22,640 Speaker 1: it's very sketchy. It's very sketchy. It's not only sketchy, 537 00:31:22,720 --> 00:31:24,960 Speaker 1: and it's it's weird that the law enforcement would just 538 00:31:25,080 --> 00:31:29,440 Speaker 1: be okay with that. Yes, it is very strange. You 539 00:31:29,560 --> 00:31:34,840 Speaker 1: can read responses from various law enforcement officials who were 540 00:31:34,960 --> 00:31:38,440 Speaker 1: parts of the teams who decided not to, you know, 541 00:31:38,840 --> 00:31:43,120 Speaker 1: physically pursue him because it was a choice. Right. Here's 542 00:31:43,160 --> 00:31:48,320 Speaker 1: the other thing, because they didn't pursue him, or maybe 543 00:31:48,360 --> 00:31:50,680 Speaker 1: not because they didn't pursue him, but as a result 544 00:31:50,800 --> 00:31:53,920 Speaker 1: of not being pursued by law enforcement, and then it 545 00:31:54,160 --> 00:31:56,280 Speaker 1: kind of was heating up to where it looks like, 546 00:31:56,480 --> 00:31:59,000 Speaker 1: at least from the national reporting, like law enforcement was 547 00:31:59,080 --> 00:32:03,000 Speaker 1: going to pursue the boyfriend he appears to have taken off. 548 00:32:03,720 --> 00:32:06,280 Speaker 1: According to the family. You get one story he like 549 00:32:06,440 --> 00:32:11,040 Speaker 1: drove out to this reserve area in his mustang and 550 00:32:11,240 --> 00:32:13,520 Speaker 1: then left the mustang there and the parents had to 551 00:32:13,560 --> 00:32:16,400 Speaker 1: go pick it up and bring it home. It's weird 552 00:32:16,520 --> 00:32:19,720 Speaker 1: stories that the family is giving out and there hasn't 553 00:32:19,720 --> 00:32:23,440 Speaker 1: been any communication between the boyfriend's family and the end 554 00:32:23,440 --> 00:32:27,600 Speaker 1: Gabbyous family. There's been no communication again because the attorney said, 555 00:32:27,640 --> 00:32:32,280 Speaker 1: don't talk to them. Weird stuff. The FBI, as of 556 00:32:32,360 --> 00:32:37,400 Speaker 1: this morning, was was searching Brian land Laundry's house, the 557 00:32:37,720 --> 00:32:42,000 Speaker 1: home where his parents lived, and at least according to 558 00:32:42,480 --> 00:32:47,080 Speaker 1: ABC and NBC, UH, there was a hard drive recovered 559 00:32:47,440 --> 00:32:52,440 Speaker 1: from the van. This this Ford passenger sleeper van thing. 560 00:32:52,880 --> 00:32:54,400 Speaker 1: You can find pictures of it, you can learn all 561 00:32:54,400 --> 00:32:56,320 Speaker 1: about it if you want to. UH, there was a 562 00:32:56,360 --> 00:33:00,000 Speaker 1: hard drive found in there that may have more detail 563 00:33:00,000 --> 00:33:04,280 Speaker 1: ails about the trip itself. I'm assuming photos that are 564 00:33:04,320 --> 00:33:08,920 Speaker 1: time stamped to have metadata associated with them, videos, things 565 00:33:09,000 --> 00:33:12,120 Speaker 1: like that, because again, as they're going on this trip, 566 00:33:12,160 --> 00:33:16,480 Speaker 1: they're documenting, their documenting everything for social media. So hopefully 567 00:33:16,560 --> 00:33:20,280 Speaker 1: there will be the best like times and dates when 568 00:33:20,360 --> 00:33:23,560 Speaker 1: this turns into a murder investigation, because as we said, 569 00:33:23,680 --> 00:33:27,479 Speaker 1: a body was recovered that maybe Gaby Petito, but an 570 00:33:27,520 --> 00:33:29,840 Speaker 1: autopsy has not been performed as of this moment, and 571 00:33:30,000 --> 00:33:32,560 Speaker 1: she's not been fully identified at least as of the 572 00:33:32,640 --> 00:33:36,480 Speaker 1: moment we record this, and uh, we do have the 573 00:33:36,600 --> 00:33:40,600 Speaker 1: closest we have the confirmation at this point from authorities 574 00:33:40,880 --> 00:33:44,280 Speaker 1: is the statement that the body they recovered is quote 575 00:33:44,360 --> 00:33:49,440 Speaker 1: unquote consistent with descriptions. So a lot of people are 576 00:33:49,520 --> 00:33:54,560 Speaker 1: taking that as uh tacit confirmation pre autopsy, but it's 577 00:33:54,600 --> 00:33:56,640 Speaker 1: not quite the same thing. It's not the same thing, 578 00:33:56,880 --> 00:33:59,200 Speaker 1: and who knows what else is going to come out 579 00:33:59,240 --> 00:34:02,360 Speaker 1: again by the time you you hear this story. When 580 00:34:02,600 --> 00:34:06,560 Speaker 1: something like this, a case of a missing person, gets 581 00:34:06,640 --> 00:34:12,440 Speaker 1: this much attention, it's amazing and terrible for the I 582 00:34:12,480 --> 00:34:14,759 Speaker 1: would say, for the authorities searching for this person or 583 00:34:14,800 --> 00:34:16,960 Speaker 1: the people who are trying to solve this case. We've 584 00:34:17,000 --> 00:34:19,680 Speaker 1: talked about it before. On the positive side, you've got 585 00:34:20,080 --> 00:34:23,960 Speaker 1: everybody pretty much in the United States searching for answers, 586 00:34:24,200 --> 00:34:27,439 Speaker 1: searching for a missing person, searching for maybe in this case, 587 00:34:27,520 --> 00:34:33,320 Speaker 1: Brian or the potential suspect. Right, you've activated a surveillance 588 00:34:33,360 --> 00:34:36,359 Speaker 1: system that is every human being that has heard about 589 00:34:36,400 --> 00:34:40,680 Speaker 1: this story. Uh, that's great. The problem is you're getting 590 00:34:40,840 --> 00:34:44,560 Speaker 1: you're kidding probably a ton of misinformation from well, you know, 591 00:34:44,760 --> 00:34:47,440 Speaker 1: from well meaning people that say, oh I think I 592 00:34:47,480 --> 00:34:49,719 Speaker 1: saw Gabby, or oh I think I saw Brian, or 593 00:34:49,760 --> 00:34:51,279 Speaker 1: oh I think I saw this, or I saw that. 594 00:34:52,080 --> 00:34:54,440 Speaker 1: It makes it tremendously difficult as well to sift through 595 00:34:54,520 --> 00:34:56,480 Speaker 1: all of the information that comes in when it gets 596 00:34:56,600 --> 00:34:59,799 Speaker 1: this much attention. And then I would say the worst 597 00:35:00,080 --> 00:35:02,960 Speaker 1: art about it is if this is a case that 598 00:35:03,000 --> 00:35:07,279 Speaker 1: has to go to trial, you may be influencing a 599 00:35:07,480 --> 00:35:10,400 Speaker 1: jury at some point that needs to sit down and 600 00:35:10,760 --> 00:35:14,279 Speaker 1: be objective about the evidence that comes through. A lot 601 00:35:14,360 --> 00:35:18,520 Speaker 1: of attorneys take great pains. We've talked about this as well. 602 00:35:18,880 --> 00:35:21,520 Speaker 1: Get that jury that maybe hasn't been influenced by the 603 00:35:21,600 --> 00:35:28,279 Speaker 1: media yet. That's not easy. But especially if it has 604 00:35:28,320 --> 00:35:30,640 Speaker 1: to be in a certain location. I mean if I tried, 605 00:35:30,719 --> 00:35:33,880 Speaker 1: like in a certain jurisdiction, right right, right. Um, we 606 00:35:33,960 --> 00:35:36,720 Speaker 1: should note this is something you and I talked about 607 00:35:36,800 --> 00:35:38,880 Speaker 1: off air, Matt. So much stuff with this story is 608 00:35:38,920 --> 00:35:42,160 Speaker 1: going to happen this week. You know, they may find 609 00:35:42,960 --> 00:35:46,800 Speaker 1: the missing fiance. There's the autopsy is set for tomorrow 610 00:35:48,040 --> 00:35:51,720 Speaker 1: on the body. Um, and I read some conflicting sources 611 00:35:51,840 --> 00:35:55,320 Speaker 1: that say it had been confirmed. Now to be the 612 00:35:55,480 --> 00:35:59,400 Speaker 1: remains of Petito, but I've seen that as of the 613 00:35:59,480 --> 00:36:03,560 Speaker 1: moment of acording. But as of this moment, whomever this 614 00:36:03,680 --> 00:36:06,200 Speaker 1: body belongs to, a lot of people do believe it is. 615 00:36:06,680 --> 00:36:10,839 Speaker 1: It does belong to Gabby Petitou. The cause of death 616 00:36:10,920 --> 00:36:13,960 Speaker 1: has not been confirmed. That's what you need the autopsy for. 617 00:36:14,680 --> 00:36:18,000 Speaker 1: So that's where we are at at present. Wow, okay, 618 00:36:18,160 --> 00:36:21,160 Speaker 1: so we will keep our eyes on this. You likely 619 00:36:21,360 --> 00:36:24,120 Speaker 1: know more than we do in this moment because it 620 00:36:24,239 --> 00:36:26,879 Speaker 1: is in the future. As you hear this, I guess, 621 00:36:27,000 --> 00:36:29,279 Speaker 1: let us know your thoughts and we'll be right back. 622 00:36:29,360 --> 00:36:40,240 Speaker 1: After a quick break and we have returned. There's something 623 00:36:40,520 --> 00:36:42,800 Speaker 1: that that I thought would be great to end the 624 00:36:42,880 --> 00:36:46,520 Speaker 1: show today because we talked a little bit about the 625 00:36:47,320 --> 00:36:53,360 Speaker 1: the challenges of creating topical stories, well not creating, but 626 00:36:53,480 --> 00:36:58,200 Speaker 1: exploring topical stories in a way that is relevant and timely. 627 00:36:58,719 --> 00:37:02,400 Speaker 1: And this got me thinking, as as we do pretty 628 00:37:02,440 --> 00:37:05,440 Speaker 1: often here. Um, this got me thinking about the concept 629 00:37:05,480 --> 00:37:09,560 Speaker 1: of time as human beings experience it. In an earlier segment, 630 00:37:09,719 --> 00:37:13,719 Speaker 1: we explored a deep time experiment. You guys, remember where 631 00:37:13,760 --> 00:37:16,520 Speaker 1: those folks were put in a cave with no real 632 00:37:16,800 --> 00:37:20,520 Speaker 1: access to electronics or ways to measure time. Oh yeah, 633 00:37:20,600 --> 00:37:24,200 Speaker 1: for sure. And um what was the what was the results? 634 00:37:24,239 --> 00:37:28,600 Speaker 1: I mean I remember being incredibly disorienting. Um, And but 635 00:37:28,800 --> 00:37:31,040 Speaker 1: there was some kind of twist to that story. If 636 00:37:31,040 --> 00:37:33,120 Speaker 1: I'm not mistaken that I'm that I'm ascared escaping me 637 00:37:33,239 --> 00:37:35,680 Speaker 1: right now? Yeah? Yeah. It turns out that the the 638 00:37:35,960 --> 00:37:42,839 Speaker 1: way people perceive time is very much dependent upon external factors, right, 639 00:37:42,920 --> 00:37:47,279 Speaker 1: and time can drift. It's not exactly as clean as 640 00:37:47,360 --> 00:37:52,000 Speaker 1: it may seem on a clock. And this is where 641 00:37:52,640 --> 00:37:54,719 Speaker 1: I'm always thinking about this. This is where we came 642 00:37:54,800 --> 00:37:57,440 Speaker 1: to something really trippy one to share with you. If 643 00:37:57,480 --> 00:38:00,279 Speaker 1: you haven't heard about it yet. Uh, Doc, hit me 644 00:38:00,360 --> 00:38:06,520 Speaker 1: with the reverb please time crystals? Okay, guy, Matt noll 645 00:38:06,600 --> 00:38:09,239 Speaker 1: apro that will sound better, I think in the edit. 646 00:38:09,440 --> 00:38:11,520 Speaker 1: What are you talking about? I heard it reverberate through 647 00:38:11,560 --> 00:38:15,080 Speaker 1: the spheares. Because now it's just me you can play 648 00:38:15,080 --> 00:38:20,279 Speaker 1: about time crystals. But but yes, special effects aside. This 649 00:38:20,840 --> 00:38:25,400 Speaker 1: is something that you may have seen mentioned in the news, 650 00:38:26,280 --> 00:38:29,120 Speaker 1: and it's something that we don't It's a discovery and 651 00:38:29,239 --> 00:38:33,319 Speaker 1: invention that the human species doesn't fully understand the implications 652 00:38:33,480 --> 00:38:35,880 Speaker 1: of yet. So I was thinking we could do is 653 00:38:36,160 --> 00:38:37,920 Speaker 1: I wanted to check to see if you all had 654 00:38:38,000 --> 00:38:40,160 Speaker 1: heard of this, and then I was hoping we could 655 00:38:40,719 --> 00:38:46,600 Speaker 1: explore it together and explain what these are, what they mean, when, 656 00:38:46,800 --> 00:38:50,640 Speaker 1: what what experts mean when they describe them as time crystals, right, 657 00:38:50,680 --> 00:38:54,520 Speaker 1: which sounds very RPG or video game, and perhaps the 658 00:38:54,560 --> 00:38:58,040 Speaker 1: most importantly, what that means for our future applications or 659 00:38:58,120 --> 00:39:01,440 Speaker 1: for our concept of the few. Sure. Now, I know 660 00:39:01,760 --> 00:39:06,359 Speaker 1: that a lot of us are pretty big newshounds and Nott. 661 00:39:06,520 --> 00:39:08,800 Speaker 1: Had you read about these before? Yeah? I did, and 662 00:39:08,880 --> 00:39:10,880 Speaker 1: I thought it was complete bs because none of them 663 00:39:10,920 --> 00:39:13,399 Speaker 1: makes sense to me. And I was just like, yeah, 664 00:39:13,520 --> 00:39:18,080 Speaker 1: time crystal, Okay, yeah, Google whatever computer make time crystals, 665 00:39:18,800 --> 00:39:23,160 Speaker 1: commander key. Yeah. I know very little about this, but 666 00:39:23,239 --> 00:39:25,279 Speaker 1: it strikes me immediately as the thing that you load 667 00:39:25,400 --> 00:39:28,560 Speaker 1: into the you know, the thing in your time machine 668 00:39:28,640 --> 00:39:31,280 Speaker 1: that needs some sort of magical fuel like the flux 669 00:39:31,360 --> 00:39:34,279 Speaker 1: capacitor in Back to the Future. That's where the time 670 00:39:34,320 --> 00:39:36,640 Speaker 1: crystals go, right, And it's something that you have very 671 00:39:36,719 --> 00:39:39,160 Speaker 1: Rick and Morty too. It's like you're you're searching for 672 00:39:39,239 --> 00:39:41,920 Speaker 1: all these distant planets to find and harvest time crystals. 673 00:39:42,360 --> 00:39:44,720 Speaker 1: Assuming that's not what it is, but it's something timey 674 00:39:44,920 --> 00:39:47,279 Speaker 1: ymy and science E y and c right. Uh yeah, no, 675 00:39:47,440 --> 00:39:50,320 Speaker 1: it's exactly like from that Rick and Morty episode, the 676 00:39:50,520 --> 00:39:55,200 Speaker 1: crystals from Rick Die Rick Pete the death crystals they're 677 00:39:55,239 --> 00:39:57,279 Speaker 1: called in the show, which can allow you to see 678 00:39:57,320 --> 00:40:01,840 Speaker 1: the various possible outcomes of your life or how you 679 00:40:01,920 --> 00:40:05,120 Speaker 1: will die depending on the actions you take. Uh so 680 00:40:05,400 --> 00:40:09,600 Speaker 1: Google invented them. That's where we are now, Kitty Kitty, 681 00:40:09,800 --> 00:40:13,120 Speaker 1: it's not quite the same, Okay. So to explain time crystals, 682 00:40:13,239 --> 00:40:15,200 Speaker 1: the first thing we need to do to understand about 683 00:40:15,640 --> 00:40:18,640 Speaker 1: how important this could be, what a big deal this is, 684 00:40:18,920 --> 00:40:22,880 Speaker 1: we have to explain to ourselves what they are. So 685 00:40:23,360 --> 00:40:26,000 Speaker 1: there are a couple of examples. And I didn't I 686 00:40:26,080 --> 00:40:29,439 Speaker 1: didn't bring props here, although hey, I don't know this shape. 687 00:40:29,520 --> 00:40:34,040 Speaker 1: This meant man got me lift this Goonies masks that 688 00:40:34,239 --> 00:40:39,040 Speaker 1: made an appearance somewhere on some social media that I saw. Yeah, 689 00:40:39,120 --> 00:40:43,120 Speaker 1: that was at Ben Bullen on Instagram. Always be closing, 690 00:40:43,480 --> 00:40:48,320 Speaker 1: So come for the conspiracy to stay for the grooney mask. Anyway, 691 00:40:48,440 --> 00:40:51,520 Speaker 1: here's what happens if props aside. You can imagine it 692 00:40:51,600 --> 00:40:55,920 Speaker 1: in your head, fellow conspiracy realists. A glass, a glass 693 00:40:55,960 --> 00:41:00,680 Speaker 1: of water, whatever, beverage you would like, and let's say this. Now, 694 00:41:00,880 --> 00:41:03,279 Speaker 1: let's make a water. Let's keep it simple. We don't 695 00:41:03,320 --> 00:41:06,359 Speaker 1: want any emails about like guaffa juice. So you've got 696 00:41:06,440 --> 00:41:08,880 Speaker 1: this glass of water and it's got ice cubes in it, 697 00:41:09,719 --> 00:41:13,640 Speaker 1: and it's just relative room temperature. Right, so at some 698 00:41:13,840 --> 00:41:17,799 Speaker 1: point you can safely assume these ice cubes, all things 699 00:41:17,880 --> 00:41:23,200 Speaker 1: being equal, will melt. That's kind of how how physics works, 700 00:41:23,560 --> 00:41:28,440 Speaker 1: how time works. But in this situation, let's imagine. So 701 00:41:28,560 --> 00:41:30,879 Speaker 1: you've got your you've got your glass water in the ice, 702 00:41:31,280 --> 00:41:34,279 Speaker 1: and you can you can predict, okay, you know an 703 00:41:34,480 --> 00:41:37,480 Speaker 1: X amount of minutes these ice cubes will melt. I've 704 00:41:37,560 --> 00:41:40,800 Speaker 1: seen this before. And when they melt, they'll lower the 705 00:41:40,880 --> 00:41:43,160 Speaker 1: temperature of the water. Right, that's kind of why the 706 00:41:43,280 --> 00:41:46,000 Speaker 1: ice is in there to begin with. But what about this. 707 00:41:46,840 --> 00:41:50,360 Speaker 1: What if you were looking at a very special glass 708 00:41:50,400 --> 00:41:53,040 Speaker 1: of water and you knew that it would melt and 709 00:41:53,160 --> 00:41:56,960 Speaker 1: say five six minutes, but then in another five six minutes, 710 00:41:57,320 --> 00:42:01,120 Speaker 1: the ice cubes would reform back to their back to 711 00:42:01,200 --> 00:42:04,160 Speaker 1: their you know, they're frozen form, and then fast forward 712 00:42:04,200 --> 00:42:07,560 Speaker 1: in their five or six minutes and they melt, and 713 00:42:07,640 --> 00:42:10,680 Speaker 1: another five or six minutes and they reform and they 714 00:42:10,800 --> 00:42:14,680 Speaker 1: just keep going back and forth like that. M is 715 00:42:14,719 --> 00:42:18,680 Speaker 1: that film where they have the wide pooping back and 716 00:42:18,800 --> 00:42:23,960 Speaker 1: forth forever. Right, it's and it's also um summed up 717 00:42:24,000 --> 00:42:27,680 Speaker 1: with a little like early emoticon using like asterisks and 718 00:42:27,920 --> 00:42:31,200 Speaker 1: uh um open ellipses or parentheses. Rather it's me and 719 00:42:31,280 --> 00:42:33,719 Speaker 1: you and everyone we know the Maranda July film, which 720 00:42:33,800 --> 00:42:36,320 Speaker 1: it turns out maybe based in part upon the concept 721 00:42:36,400 --> 00:42:40,040 Speaker 1: of time crystals. Kitty, but the ice cube example, the 722 00:42:40,360 --> 00:42:44,320 Speaker 1: the glass of ice is a pretty solid example. So 723 00:42:44,360 --> 00:42:47,640 Speaker 1: we're talking about these two states that seem to uh 724 00:42:47,840 --> 00:42:50,879 Speaker 1: switch back and forth. There's another example from a guy 725 00:42:50,960 --> 00:42:56,759 Speaker 1: named Kurt Vaughan Kaiserly, who plays a pretty profound role 726 00:42:56,920 --> 00:43:00,960 Speaker 1: in all the theoretical work that led to this development. 727 00:43:01,520 --> 00:43:04,120 Speaker 1: We should say these time crystals are real. It's clearly 728 00:43:04,200 --> 00:43:08,399 Speaker 1: his destiny of the name like that. Yes, so he said, 729 00:43:09,000 --> 00:43:11,000 Speaker 1: this isn't my favorite example, but I want to get 730 00:43:11,080 --> 00:43:14,160 Speaker 1: what he's saying wrong. So he says, imagine you take 731 00:43:14,200 --> 00:43:19,280 Speaker 1: a box, any box, and you fill it with many coins. 732 00:43:19,960 --> 00:43:23,200 Speaker 1: And so if you look down at this box it 733 00:43:23,320 --> 00:43:25,520 Speaker 1: has a lot of coins in it, you'll see that 734 00:43:25,600 --> 00:43:29,000 Speaker 1: they're either pointing like heads up or the pointing heads 735 00:43:29,080 --> 00:43:31,960 Speaker 1: down right, heads are tails, the old fifty fifty chants. 736 00:43:32,360 --> 00:43:35,560 Speaker 1: That's made so many thought experiments possible. He says, all right, 737 00:43:35,680 --> 00:43:38,480 Speaker 1: close this box, shake it, shake as long as you want, 738 00:43:38,560 --> 00:43:41,080 Speaker 1: shake it a million times, and if you look down, 739 00:43:41,239 --> 00:43:43,080 Speaker 1: you put it back down, you open it, you count 740 00:43:43,120 --> 00:43:46,680 Speaker 1: the coins. You'll see that about half of them are 741 00:43:46,840 --> 00:43:48,919 Speaker 1: heads side up and half of them our tails side 742 00:43:48,960 --> 00:43:52,440 Speaker 1: up right. That makes sense because the each have a chance. 743 00:43:53,280 --> 00:43:55,920 Speaker 1: And he says, you know, it doesn't really matter how 744 00:43:56,000 --> 00:43:58,160 Speaker 1: many shakes you do, a million and one, it doesn't matter. 745 00:43:58,280 --> 00:44:03,800 Speaker 1: Random shakes will give you this random roughly fifty fifty chance. 746 00:44:04,400 --> 00:44:08,680 Speaker 1: And then he said, imagine if I imagine if this 747 00:44:08,880 --> 00:44:11,879 Speaker 1: box behaved the way a time crystal does. What you'll 748 00:44:11,920 --> 00:44:15,719 Speaker 1: see is that what he calls the coins here, the 749 00:44:15,880 --> 00:44:22,480 Speaker 1: spins would be pointing mostly up, and then later they 750 00:44:22,600 --> 00:44:28,239 Speaker 1: might be pointing mostly down. It seems to remember this time. 751 00:44:28,280 --> 00:44:32,440 Speaker 1: Crystal seems to remember something about its previous state. And 752 00:44:32,520 --> 00:44:36,480 Speaker 1: when we say remember, that's that gets into some spooky territory, 753 00:44:36,600 --> 00:44:42,040 Speaker 1: because usually living things to remember right and credibly home around. 754 00:44:42,080 --> 00:44:46,920 Speaker 1: This is defying one of the laws of thermodynamics. Yes, 755 00:44:47,040 --> 00:44:49,560 Speaker 1: and I am no, no scientists, but it's the idea 756 00:44:49,640 --> 00:44:53,160 Speaker 1: that things moved towards entropy, or you know, at least 757 00:44:53,160 --> 00:44:57,000 Speaker 1: in terms of like distributing thermal energy throughout a system 758 00:44:57,320 --> 00:45:00,040 Speaker 1: instead of like kind of keeping it more contained. And 759 00:45:00,200 --> 00:45:02,880 Speaker 1: this one skips that step and constantly flips back and 760 00:45:03,000 --> 00:45:05,520 Speaker 1: forth between right before it would like you know, it 761 00:45:05,560 --> 00:45:08,440 Speaker 1: would distribute it, and it almost brings it more internal. 762 00:45:08,600 --> 00:45:11,880 Speaker 1: Is that correct? Essentially? I mean I'm simplifying. Yeah, let 763 00:45:11,960 --> 00:45:14,759 Speaker 1: me let me super simplify, because you know, I'm not 764 00:45:14,920 --> 00:45:16,879 Speaker 1: a physicist. A lot of us listening to the show 765 00:45:16,960 --> 00:45:19,400 Speaker 1: right now are not physicists. There's a thing called the 766 00:45:19,480 --> 00:45:23,920 Speaker 1: second law of thermodynamics, and a show like ours that 767 00:45:24,040 --> 00:45:27,800 Speaker 1: applies critical thinking to some very strange ideas. Uh. The 768 00:45:27,960 --> 00:45:30,960 Speaker 1: most practical way to understand the concept of the second 769 00:45:31,040 --> 00:45:36,080 Speaker 1: law of thermodynamics is this. It bans perpetual motion machines. 770 00:45:36,719 --> 00:45:40,399 Speaker 1: It says, none of that. Get it out of here. 771 00:45:40,840 --> 00:45:42,920 Speaker 1: I don't want to see it. I don't like that. 772 00:45:43,680 --> 00:45:46,879 Speaker 1: That's what That's what the second law of thermodynamics means 773 00:45:47,160 --> 00:45:50,160 Speaker 1: for a lot of people in real terms. And there 774 00:45:50,239 --> 00:45:56,000 Speaker 1: has been no perpetual motion machine proven to exists. All 775 00:45:56,200 --> 00:45:59,920 Speaker 1: things seek a low energy state over what we understand 776 00:46:00,080 --> 00:46:02,640 Speaker 1: to be tied. That's it, right. You put some energy 777 00:46:02,760 --> 00:46:06,719 Speaker 1: into a system, and that energy energy, whatever that is, 778 00:46:07,280 --> 00:46:11,000 Speaker 1: gets eventually spread out, especially when you when it comes 779 00:46:11,040 --> 00:46:15,919 Speaker 1: to like temperature. Uh, it evens itself out reaches equilibrium. Okay, 780 00:46:16,680 --> 00:46:19,600 Speaker 1: So in this case, their time crystal doesn't do this. 781 00:46:20,680 --> 00:46:24,080 Speaker 1: It's a well it goes with way he goes back. 782 00:46:24,600 --> 00:46:28,360 Speaker 1: It is forever sort of vacillating between and this change 783 00:46:28,400 --> 00:46:34,000 Speaker 1: in states, oddly enough doesn't seem to take energy, which 784 00:46:34,160 --> 00:46:37,920 Speaker 1: means that it is doing something and it could just 785 00:46:38,160 --> 00:46:42,160 Speaker 1: maybe do it for the human concept of forever. Uh. 786 00:46:42,360 --> 00:46:47,239 Speaker 1: In July this year, a research paper was published that 787 00:46:47,880 --> 00:46:53,000 Speaker 1: showed this is possible. This, this really seems to be happening. 788 00:46:53,440 --> 00:46:57,919 Speaker 1: A limitless rule breaking source of energy, very small level 789 00:46:58,280 --> 00:47:03,719 Speaker 1: that could revel lucanize quantum computers. It could revel luctionized civilization. 790 00:47:03,840 --> 00:47:07,319 Speaker 1: It's not hyperbolic to say it could revolutionize civilization if 791 00:47:07,360 --> 00:47:10,200 Speaker 1: people figure out some way to use it. It's been 792 00:47:10,280 --> 00:47:14,279 Speaker 1: called by some folks, maybe a little breathlessly, the most 793 00:47:14,400 --> 00:47:20,160 Speaker 1: important scientific breakthrough of our lifetimes. I don't quite know 794 00:47:20,200 --> 00:47:23,080 Speaker 1: what to do with it right or now, it's got 795 00:47:23,160 --> 00:47:26,040 Speaker 1: some it's got some possibilities. It would be really accurate 796 00:47:27,160 --> 00:47:30,880 Speaker 1: component for an atomic clock. You would know exactly what 797 00:47:31,080 --> 00:47:34,360 Speaker 1: the time was. There's that. But if you like I 798 00:47:34,480 --> 00:47:36,640 Speaker 1: am not a fan of deadlines, You're like, why do 799 00:47:36,760 --> 00:47:39,759 Speaker 1: I need a better clock? That's not that's solving the 800 00:47:39,840 --> 00:47:44,440 Speaker 1: wrong problem. So, uh, we should also mention that, according 801 00:47:44,480 --> 00:47:49,080 Speaker 1: to scientists, this does break Isaac Newton's first love motion. Yeah, 802 00:47:49,520 --> 00:47:51,320 Speaker 1: I can see that. Ben. I want to read you 803 00:47:52,120 --> 00:47:55,560 Speaker 1: a tiny thing here from this space dot com article 804 00:47:55,719 --> 00:47:59,239 Speaker 1: that you shared with us, and I just want to 805 00:47:59,320 --> 00:48:04,360 Speaker 1: see if you can explain it to me. Okay, so 806 00:48:04,640 --> 00:48:08,000 Speaker 1: this is what they actually did at Google inside their 807 00:48:08,040 --> 00:48:13,279 Speaker 1: super computer to create a time crystal. Yes, there were 808 00:48:13,400 --> 00:48:18,600 Speaker 1: twenty strips of super conducting aluminum. Okay, they had those 809 00:48:19,040 --> 00:48:23,560 Speaker 1: and they quote programmed them into two possible states. Then 810 00:48:23,640 --> 00:48:30,279 Speaker 1: they blasted them strips with a microwave beam and somehow 811 00:48:31,200 --> 00:48:35,480 Speaker 1: they flipped states. They were flipping states, and they repeated 812 00:48:35,560 --> 00:48:39,400 Speaker 1: the experiment tens of thousands of runs, and then they 813 00:48:39,440 --> 00:48:43,280 Speaker 1: would stop record the states of each one of these strips, 814 00:48:43,360 --> 00:48:47,239 Speaker 1: which one they were in. And this isn't quote. What 815 00:48:47,440 --> 00:48:50,759 Speaker 1: they found was that their aluminum strips were flipping back 816 00:48:50,840 --> 00:48:55,600 Speaker 1: and forth between only two configurations, and they weren't absorbing 817 00:48:55,760 --> 00:48:59,759 Speaker 1: heat from the microwave beam either, so they had a time. 818 00:49:00,360 --> 00:49:02,279 Speaker 1: What the hell are they talking about? I don't get it. 819 00:49:02,480 --> 00:49:06,759 Speaker 1: They're just going back and forth, back and forth. No, 820 00:49:06,920 --> 00:49:12,600 Speaker 1: it's no. Can't you signed a contract? I don't understand. 821 00:49:14,680 --> 00:49:19,319 Speaker 1: It's not a work related contract, Noel. So the yeah, 822 00:49:19,840 --> 00:49:23,800 Speaker 1: here's the thing. The it is difficult to understand, and 823 00:49:23,880 --> 00:49:27,080 Speaker 1: it's weird, and the name is misleading to you know, 824 00:49:27,520 --> 00:49:32,320 Speaker 1: like time crystal honestly sounds a lot cooler than what 825 00:49:32,440 --> 00:49:35,040 Speaker 1: this thing actually is, though it is still amazing. What 826 00:49:35,200 --> 00:49:39,600 Speaker 1: they did was not permanent either, right you saw that part, right, Matt. 827 00:49:39,680 --> 00:49:43,520 Speaker 1: The scientists were able to create this and it lasted 828 00:49:43,680 --> 00:49:47,120 Speaker 1: for about a hundred seconds, and this was in the 829 00:49:47,280 --> 00:49:53,040 Speaker 1: core of Google's Sycamore, which is a quantum processor. Uh. 830 00:49:53,200 --> 00:49:57,000 Speaker 1: Kurt von Kaiserling said, you know, this was a big 831 00:49:57,120 --> 00:50:02,719 Speaker 1: surprise because nobody to have expected this. In fact, theorists 832 00:50:03,320 --> 00:50:07,719 Speaker 1: just predicted this state of matter could exist only nine 833 00:50:07,800 --> 00:50:11,080 Speaker 1: years ago. So this is like, in terms of things 834 00:50:11,200 --> 00:50:14,520 Speaker 1: people didn't expect, this is up there with how uh 835 00:50:15,400 --> 00:50:18,520 Speaker 1: the human species keeps finding other mixed tapes of early 836 00:50:18,680 --> 00:50:21,560 Speaker 1: human beings that we're able to interbreed with them and 837 00:50:21,640 --> 00:50:24,240 Speaker 1: then possibly gave rise to you know, all those different 838 00:50:24,400 --> 00:50:28,120 Speaker 1: uh oral traditions and stories of folklore. Then you know, 839 00:50:28,239 --> 00:50:31,440 Speaker 1: found out they were real. There were real quote unquote hobbits. 840 00:50:31,760 --> 00:50:37,239 Speaker 1: That's pretty that's it. But like, okay, solid liquid gas, 841 00:50:37,360 --> 00:50:40,200 Speaker 1: I gets it's a thing that it's a thing that 842 00:50:40,520 --> 00:50:44,640 Speaker 1: gas can essentially become. Right, it's another state of matter. 843 00:50:45,560 --> 00:50:51,480 Speaker 1: In this case, we're talking about aluminum god strips. How 844 00:50:51,600 --> 00:50:54,759 Speaker 1: do they become a different state of matters? I'm I'm 845 00:50:54,880 --> 00:50:56,920 Speaker 1: confused on that one too, And and and how has 846 00:50:57,000 --> 00:50:59,640 Speaker 1: that used used? You know, I understand, I understand where 847 00:50:59,640 --> 00:51:02,480 Speaker 1: you're coming from, what the quantum clock thing, But it 848 00:51:02,600 --> 00:51:04,560 Speaker 1: does feel a little bit like, I mean, did this 849 00:51:04,680 --> 00:51:07,400 Speaker 1: happen by accident where they like they aiming for this? 850 00:51:07,680 --> 00:51:10,360 Speaker 1: Was this like a desired outcome? Or it almost just 851 00:51:10,400 --> 00:51:12,840 Speaker 1: seems like a byproduct that's now getting reported on like 852 00:51:12,960 --> 00:51:16,360 Speaker 1: it's some sort of crazy discovery. Uh yeah, they just 853 00:51:16,440 --> 00:51:19,000 Speaker 1: have cooler hobbies than a lot of us, you know, 854 00:51:19,400 --> 00:51:23,440 Speaker 1: over over at that facility. Uh, this is okay. So 855 00:51:23,840 --> 00:51:27,800 Speaker 1: the best way to think of it as a state 856 00:51:28,000 --> 00:51:31,880 Speaker 1: of matter is that we're we're defining it as a 857 00:51:32,000 --> 00:51:35,640 Speaker 1: phase of matter, and at the same time, by doing that, 858 00:51:36,000 --> 00:51:38,279 Speaker 1: because there's nothing else quite like it, at the same time, 859 00:51:38,360 --> 00:51:42,920 Speaker 1: by doing that, we're already expanding our definition of what 860 00:51:43,200 --> 00:51:45,920 Speaker 1: constitutes a phase of matter, you know what I mean. 861 00:51:46,040 --> 00:51:49,359 Speaker 1: So it's it's cheating a little, right, or it's at 862 00:51:49,440 --> 00:51:52,680 Speaker 1: least it's either cheating a little, or it's just factoring 863 00:51:52,719 --> 00:51:57,920 Speaker 1: in new information. Uh So, before now, all the other 864 00:51:58,120 --> 00:52:02,359 Speaker 1: known phases of matter or uh like had a kind 865 00:52:02,440 --> 00:52:08,120 Speaker 1: of thermal equilibrium, which meant that there they're atoms trying 866 00:52:08,200 --> 00:52:10,400 Speaker 1: to be low and chill, you know what I mean, 867 00:52:10,480 --> 00:52:14,719 Speaker 1: just low five vibe. They they settled down to the 868 00:52:15,000 --> 00:52:19,200 Speaker 1: lowest energy state they could find permitted by the temperature 869 00:52:19,520 --> 00:52:22,839 Speaker 1: around them, and if the temperature doesn't change, then those 870 00:52:22,960 --> 00:52:27,880 Speaker 1: properties don't change. But a time crystal is the first 871 00:52:28,040 --> 00:52:31,680 Speaker 1: phase humans have ever learned about. That's known as quote 872 00:52:32,040 --> 00:52:36,879 Speaker 1: out of equilibrium. If you have already started doing something 873 00:52:36,960 --> 00:52:40,200 Speaker 1: recreational in this conversation, whether it's cracking a beer or 874 00:52:40,239 --> 00:52:43,680 Speaker 1: what have, you totally get it. This is weird. Deep 875 00:52:43,719 --> 00:52:47,720 Speaker 1: water Matt, there's another state of matter that was discovered 876 00:52:47,719 --> 00:52:50,440 Speaker 1: relatively recently, and I wasn't familiar with until looking into this. 877 00:52:50,560 --> 00:52:54,440 Speaker 1: It's called Bose Einstein condensate and it does most closely 878 00:52:54,560 --> 00:53:00,000 Speaker 1: represent you know, condensation, but it it's rules are revolve 879 00:53:00,000 --> 00:53:05,960 Speaker 1: alving around similar energy transfer uh specificities. Let's just say, right, 880 00:53:06,200 --> 00:53:09,200 Speaker 1: I think the deal with this one is um it 881 00:53:09,920 --> 00:53:13,520 Speaker 1: gets to such low temperature that molecular motion comes close 882 00:53:13,600 --> 00:53:17,560 Speaker 1: to actually stopping. But since there's no kinetic energy that's 883 00:53:17,600 --> 00:53:20,640 Speaker 1: being moved from one atom to another, they start to 884 00:53:20,760 --> 00:53:24,120 Speaker 1: like clump together and create this other, uh sort of 885 00:53:24,200 --> 00:53:26,720 Speaker 1: form of matter that involves something called a super atom. 886 00:53:27,120 --> 00:53:30,000 Speaker 1: Um thousands of these separate, smaller atoms clumped together to 887 00:53:30,080 --> 00:53:32,120 Speaker 1: create the super atom. And again I'm reading a lot 888 00:53:32,200 --> 00:53:35,040 Speaker 1: of this, uh paraphrasing this from a Live Science article. 889 00:53:35,040 --> 00:53:37,040 Speaker 1: I don't fully understand that either, but at least I 890 00:53:37,040 --> 00:53:40,680 Speaker 1: can kind of wrap my head around what a condensate is. Yeah, dude, dope, 891 00:53:41,000 --> 00:53:45,920 Speaker 1: I get it. And uh, Like all quantum systems, Google's 892 00:53:45,960 --> 00:53:49,360 Speaker 1: quantum computer needs to be perfectly isolated from its environment 893 00:53:49,400 --> 00:53:53,200 Speaker 1: to prevent its cubits from undergoing a process called decoherence, 894 00:53:53,520 --> 00:53:57,320 Speaker 1: which eventually breaks down the quantum localization effect, destroying the 895 00:53:57,440 --> 00:53:59,920 Speaker 1: time crystal. Yeah, I get all of that, I can. 896 00:54:00,000 --> 00:54:03,040 Speaker 1: I want to mess with the quantum localization effect. I mean, 897 00:54:03,120 --> 00:54:07,239 Speaker 1: that's podcasts for a living. We've all all run into 898 00:54:07,400 --> 00:54:11,080 Speaker 1: this kind of time loop. But this, so what what 899 00:54:11,360 --> 00:54:15,720 Speaker 1: would the applications be here? It could do some pretty 900 00:54:15,920 --> 00:54:20,560 Speaker 1: amazing stuff, if you know, if humanity doesn't destroy itself, 901 00:54:20,680 --> 00:54:23,600 Speaker 1: if there's not a gamma ray burst or the right 902 00:54:23,719 --> 00:54:26,560 Speaker 1: kind of CME at the right time. A lot of caveats, 903 00:54:26,640 --> 00:54:32,279 Speaker 1: but anyway, if they keep it together, then first we're 904 00:54:32,280 --> 00:54:36,440 Speaker 1: not talking about time travel. Just gonna just gonna get 905 00:54:36,520 --> 00:54:39,600 Speaker 1: that out of the way right now, as far as 906 00:54:39,680 --> 00:54:44,200 Speaker 1: the official science is concerned, everybody is traveling through time 907 00:54:44,880 --> 00:54:50,080 Speaker 1: at the rate of one thing per second or permillia second, 908 00:54:50,160 --> 00:54:54,480 Speaker 1: and only in one direction. Um not the band, everybody. 909 00:54:54,600 --> 00:54:56,240 Speaker 1: You don't have to be a member of one direction 910 00:54:56,280 --> 00:54:58,960 Speaker 1: to be a linear time travel There sol stuff better, 911 00:54:59,080 --> 00:55:01,279 Speaker 1: but I'm with you, bad with you. So they could 912 00:55:01,360 --> 00:55:04,640 Speaker 1: detect magnetic fields. They could also be used in a 913 00:55:04,800 --> 00:55:10,520 Speaker 1: diagnostic capacity in a quantum computer. But the there's something 914 00:55:10,600 --> 00:55:13,120 Speaker 1: that really that really spoke to me. I was watching 915 00:55:14,440 --> 00:55:17,040 Speaker 1: some can't remember the exact video I was watching, or 916 00:55:17,120 --> 00:55:19,719 Speaker 1: someone summed this up and they said that for them. 917 00:55:20,480 --> 00:55:23,920 Speaker 1: The main the main thing about these was that they 918 00:55:23,960 --> 00:55:27,080 Speaker 1: were beautiful, and they proved that there is more mystery 919 00:55:27,239 --> 00:55:30,800 Speaker 1: to the universe than then perhaps we assume on a 920 00:55:30,920 --> 00:55:35,240 Speaker 1: day to day basis, and further supports. Besides, she shakes 921 00:55:35,280 --> 00:55:39,080 Speaker 1: his fist at the sky further supports. Sometimes it's so 922 00:55:39,239 --> 00:55:41,600 Speaker 1: boxing about for a while, which is at the very 923 00:55:41,800 --> 00:55:44,960 Speaker 1: large end and the very small end of things. The 924 00:55:45,160 --> 00:55:49,800 Speaker 1: rules as humans understand it break out, Like all of 925 00:55:49,840 --> 00:55:52,719 Speaker 1: the rules start to break down. So what's next? What 926 00:55:52,920 --> 00:55:55,320 Speaker 1: rule will we break it next? I don't know. Hopefully 927 00:55:55,360 --> 00:55:59,200 Speaker 1: it's just more time rules. Hopefully this time Crystal can 928 00:55:59,280 --> 00:56:01,840 Speaker 1: be placed into some kind of I don't know, DeLorean 929 00:56:02,080 --> 00:56:05,319 Speaker 1: or other device and then can be used to take 930 00:56:05,400 --> 00:56:08,879 Speaker 1: us back to I don't know, the nineties and save 931 00:56:09,000 --> 00:56:13,080 Speaker 1: general motors e V one vehicle, which will then put 932 00:56:13,400 --> 00:56:17,240 Speaker 1: humanity on a track to not have hurricanes every five seconds, 933 00:56:18,360 --> 00:56:23,600 Speaker 1: which should be pretty cool. Uh yeah yeah, And stay 934 00:56:23,640 --> 00:56:25,960 Speaker 1: safe out there at folks, because the weather is probably 935 00:56:26,040 --> 00:56:29,880 Speaker 1: just going to get wilder over time. However, we end 936 00:56:30,040 --> 00:56:35,640 Speaker 1: up defining it so conspiracy realist, fellow armchair horologists, the 937 00:56:35,719 --> 00:56:38,680 Speaker 1: fancy word for the study of time. Uh, we hope 938 00:56:38,719 --> 00:56:43,400 Speaker 1: you enjoyed today's segment. We cannot wait to hear from you. 939 00:56:44,320 --> 00:56:47,279 Speaker 1: As Matt said, we are messing with time a little 940 00:56:47,320 --> 00:56:50,759 Speaker 1: bit due to the way we record, uh these segments. 941 00:56:50,920 --> 00:56:53,480 Speaker 1: You are going to You're probably going to do a 942 00:56:53,560 --> 00:56:57,040 Speaker 1: little bit more hopefully about the potito case. We'd like 943 00:56:57,120 --> 00:56:59,560 Speaker 1: to hear your take on that. We would like to 944 00:56:59,600 --> 00:57:03,160 Speaker 1: hear you or take on the greater good of training 945 00:57:03,320 --> 00:57:07,239 Speaker 1: cattle and livestock or house breaking them. We'd also like 946 00:57:07,360 --> 00:57:09,320 Speaker 1: to hear what else cattle can be trained for. I 947 00:57:09,400 --> 00:57:12,160 Speaker 1: think the answers will surprise some of some of us 948 00:57:12,360 --> 00:57:16,920 Speaker 1: and variety of them. You know, you just gotta try hard. 949 00:57:17,440 --> 00:57:19,280 Speaker 1: I don't know what I call it a trick when 950 00:57:19,360 --> 00:57:22,120 Speaker 1: I dismiss it like it's a it's a move. It's 951 00:57:22,160 --> 00:57:24,880 Speaker 1: definitely a move. Um, let's call it more of a 952 00:57:24,960 --> 00:57:29,120 Speaker 1: minor superpower. How about that? Oh nice? Yeah, that's yes. 953 00:57:29,320 --> 00:57:32,280 Speaker 1: What kind of minor superpowers can train cattle to do? 954 00:57:32,800 --> 00:57:37,400 Speaker 1: And what do you think future physicists will find? Will 955 00:57:37,440 --> 00:57:40,280 Speaker 1: the time crystal just be an interesting oddity that's not 956 00:57:40,400 --> 00:57:43,000 Speaker 1: really practical yet, like a lot of stuff on the 957 00:57:43,080 --> 00:57:46,520 Speaker 1: far end of the known periodic table? Or are we 958 00:57:46,680 --> 00:57:51,080 Speaker 1: on the cusp of something bigger. How inviolate are these 959 00:57:51,200 --> 00:57:54,440 Speaker 1: laws right now and which will be broken in the future? 960 00:57:54,760 --> 00:57:56,840 Speaker 1: Let us know. We try to be easy to find online. 961 00:57:56,920 --> 00:57:59,120 Speaker 1: It's right. You can find us on the Internet. You 962 00:57:59,120 --> 00:58:01,400 Speaker 1: can find us in the usual at social media locations 963 00:58:01,440 --> 00:58:05,160 Speaker 1: of note Facebook, Twitter, and YouTube, as well, where we 964 00:58:05,360 --> 00:58:08,880 Speaker 1: exist under the handle conspiracy Stuff. On Instagram. You can 965 00:58:08,880 --> 00:58:11,320 Speaker 1: find us a Conspiracy Stuff show, or Hey, why do 966 00:58:11,360 --> 00:58:13,720 Speaker 1: I give us a telephone call? Yes? Please do. Our 967 00:58:13,800 --> 00:58:16,920 Speaker 1: number is one H three three st d W y 968 00:58:17,080 --> 00:58:19,880 Speaker 1: t K. Give yourself a nickname when you call in. 969 00:58:20,120 --> 00:58:22,680 Speaker 1: It is voicemail, so there's a limited amount of time. 970 00:58:22,720 --> 00:58:26,400 Speaker 1: You get three minutes. Use it however you wish. Just 971 00:58:26,600 --> 00:58:29,520 Speaker 1: let your imagination go wild. See see if you can 972 00:58:29,600 --> 00:58:33,120 Speaker 1: oscillate between two states of matter or make a new 973 00:58:33,200 --> 00:58:36,240 Speaker 1: state of the matter while you're on the voice mail system. 974 00:58:36,280 --> 00:58:39,280 Speaker 1: I don't know that's weird, but do it. We look 975 00:58:39,320 --> 00:58:42,000 Speaker 1: forward to hearing from you. If you've got more to say, 976 00:58:42,120 --> 00:58:45,000 Speaker 1: or you have links to share, anything else, you can 977 00:58:45,080 --> 00:58:48,320 Speaker 1: send us a good old fashioned email. We are conspiracy 978 00:58:48,440 --> 00:59:09,680 Speaker 1: at iHeart radio dot com. Stuff they Don't Want You 979 00:59:09,800 --> 00:59:12,360 Speaker 1: to Know is a production of I Heart Radio. For 980 00:59:12,480 --> 00:59:14,840 Speaker 1: more podcasts from my heart Radio, visit the i heart 981 00:59:14,920 --> 00:59:17,720 Speaker 1: Radio app, Apple podcasts, or wherever you listen to your 982 00:59:17,720 --> 00:59:18,400 Speaker 1: favorite shows.