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 --> 00:00:25,640 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,680 --> 00:00:28,000 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,040 --> 00:00:30,960 Speaker 1: me Ben. We're joined as always with our super producer 7 00:00:31,120 --> 00:00:35,599 Speaker 1: Alexis code named Doc Holiday Jackson. Most importantly, you are you. 8 00:00:35,600 --> 00:00:38,479 Speaker 1: You are here, and that makes this the stuff they 9 00:00:38,560 --> 00:00:41,720 Speaker 1: don't want you to know. A lot of things have 10 00:00:41,840 --> 00:00:45,440 Speaker 1: been going on. Sad news story to report at the beginning, 11 00:00:46,000 --> 00:00:51,199 Speaker 1: we are officially past Halloween. Uh you know, it's a 12 00:00:51,760 --> 00:00:55,000 Speaker 1: little bit of a blues situation. Uh. Now, you guys 13 00:00:55,080 --> 00:00:58,400 Speaker 1: both have kids. Did you have Halloween adventures? I did. 14 00:00:58,480 --> 00:01:00,480 Speaker 1: It was the first year that my kid went trick 15 00:01:00,560 --> 00:01:04,160 Speaker 1: or treating with her crew. Uh Sam's parents, and they 16 00:01:04,200 --> 00:01:08,480 Speaker 1: totally came back alive. I was very pleased with that outcome. Congratulations, dude, 17 00:01:08,959 --> 00:01:12,200 Speaker 1: that's a big step buds. Yeah. I dawned a night 18 00:01:12,400 --> 00:01:15,920 Speaker 1: costume and roamed around with my son as he wore 19 00:01:16,040 --> 00:01:20,800 Speaker 1: a Steve from Minecraft outfit. It was quite great. Oh, 20 00:01:20,840 --> 00:01:23,520 Speaker 1: I think I saw that posted somewhere. Yeah, that minecraft 21 00:01:23,520 --> 00:01:31,400 Speaker 1: outfit was impressive. Man. Yeah, and it comes out as 22 00:01:31,440 --> 00:01:35,039 Speaker 1: a box right, Well, it looked good. It was actually 23 00:01:35,040 --> 00:01:37,760 Speaker 1: one of my favorite costumes that I saw this year. Uh. 24 00:01:37,840 --> 00:01:42,640 Speaker 1: In in other news, we know that situations continue to 25 00:01:42,720 --> 00:01:47,680 Speaker 1: deteriorate in several countries facing coups who we know that 26 00:01:47,920 --> 00:01:50,400 Speaker 1: the world is kind of burning down. A lot of 27 00:01:50,400 --> 00:01:53,680 Speaker 1: people here in the US are maybe nervous about going 28 00:01:53,720 --> 00:01:57,120 Speaker 1: to see their extended family for the next holiday Thanksgiving, 29 00:01:57,680 --> 00:02:01,680 Speaker 1: and uh, the housing cristis continues. Maybe that's where first 30 00:02:01,720 --> 00:02:05,640 Speaker 1: story starts. This is uh, this is a very personal 31 00:02:05,880 --> 00:02:08,400 Speaker 1: housing crisis. If you want to hear about the more 32 00:02:08,480 --> 00:02:12,480 Speaker 1: macro level housing crisis, check out our episodes on foreign 33 00:02:12,520 --> 00:02:16,040 Speaker 1: investment in housing markets. But if you want to hear 34 00:02:16,160 --> 00:02:20,079 Speaker 1: one of the strangest stories that we found recently about houses, 35 00:02:20,680 --> 00:02:24,240 Speaker 1: then uh, check this out, Matt. This is something that 36 00:02:24,280 --> 00:02:27,880 Speaker 1: you dug up. Yes it is. It comes from the 37 00:02:27,919 --> 00:02:31,080 Speaker 1: news strangely. You know, if you want to find out 38 00:02:31,120 --> 00:02:33,639 Speaker 1: why the housing crisis, just try and get qualified to 39 00:02:33,680 --> 00:02:37,600 Speaker 1: buy a house right now. Good luck to you, good lord. Um. 40 00:02:37,639 --> 00:02:43,080 Speaker 1: But this this one comes to us from Luton, Luton 41 00:02:43,440 --> 00:02:49,919 Speaker 1: in Bedfordshire, United Kingdom, and um, it goes a little 42 00:02:50,040 --> 00:02:53,560 Speaker 1: something like this, at least according to the headline, Luton 43 00:02:53,639 --> 00:02:58,560 Speaker 1: man left shocked as his house is stolen. Now you 44 00:02:58,560 --> 00:03:02,080 Speaker 1: may ask yourself, how could one steal a house? Is 45 00:03:02,120 --> 00:03:05,280 Speaker 1: it mobile asking myself just that, Matthew, I was asking 46 00:03:05,280 --> 00:03:08,240 Speaker 1: myself just that. H No, that is not how you 47 00:03:08,240 --> 00:03:10,560 Speaker 1: can steal a house. You can steal a house by 48 00:03:10,600 --> 00:03:15,560 Speaker 1: impersonating someone's identity, by stealing that identity and then uh 49 00:03:15,760 --> 00:03:19,000 Speaker 1: going through a solicitor or a real estate agent here 50 00:03:19,000 --> 00:03:22,160 Speaker 1: in the States and uh convincing them you are that person, 51 00:03:22,480 --> 00:03:24,960 Speaker 1: and then putting the house up for sale, selling it 52 00:03:25,160 --> 00:03:29,400 Speaker 1: and then taking the money. Oh, that sounds scared. And 53 00:03:29,760 --> 00:03:32,440 Speaker 1: just to make sure everyone is a where solicitor is 54 00:03:32,480 --> 00:03:34,519 Speaker 1: not a real estate agent, that's not a one to one. 55 00:03:34,680 --> 00:03:37,240 Speaker 1: A solicitor would be like an attorney, a lawyer or 56 00:03:37,280 --> 00:03:39,760 Speaker 1: somebody like that. But here in the States, it's very 57 00:03:39,760 --> 00:03:42,480 Speaker 1: often that there's an attorney and a real estate agent 58 00:03:42,520 --> 00:03:45,040 Speaker 1: that worked closely together when you're making a home purchase 59 00:03:45,120 --> 00:03:49,240 Speaker 1: or selling a home. Um. So that's what happened to 60 00:03:49,480 --> 00:03:53,520 Speaker 1: a fellow. According to the BBC and an investigation that 61 00:03:53,600 --> 00:03:57,320 Speaker 1: the BBC and the show You and Yours did one 62 00:03:57,360 --> 00:04:01,440 Speaker 1: of the primary journalists associated with the story Sherry s 63 00:04:01,640 --> 00:04:05,120 Speaker 1: H A. R I v A h L. Sherry Vall 64 00:04:05,640 --> 00:04:09,960 Speaker 1: And just some great reporting here. Okay, this this man 65 00:04:10,200 --> 00:04:15,320 Speaker 1: named Reverend Mike Hall, was not living in Luton in 66 00:04:15,440 --> 00:04:18,400 Speaker 1: his home, the home that he owned. He was living 67 00:04:18,480 --> 00:04:22,560 Speaker 1: in Wales, which is somewhat quite quite a bit actually 68 00:04:22,560 --> 00:04:25,800 Speaker 1: to the east, four and a half five hours east 69 00:04:26,520 --> 00:04:31,280 Speaker 1: of this area in Luton. And he was notified by 70 00:04:31,320 --> 00:04:34,720 Speaker 1: his neighbors that all the lights were on in his 71 00:04:34,760 --> 00:04:37,719 Speaker 1: home and there was somebody moving about in that home, 72 00:04:37,839 --> 00:04:40,279 Speaker 1: and they knew that he was not currently living there, 73 00:04:40,279 --> 00:04:42,880 Speaker 1: so they were a bit perplexed. So this man, Mike, 74 00:04:43,080 --> 00:04:45,719 Speaker 1: drove you know, the four hours or however long it 75 00:04:45,760 --> 00:04:48,359 Speaker 1: took for him to get back to his house, tried 76 00:04:48,400 --> 00:04:50,680 Speaker 1: to get into his front door of the home that 77 00:04:50,800 --> 00:04:54,240 Speaker 1: he owns, that his name is on the title, you know, 78 00:04:54,320 --> 00:04:57,800 Speaker 1: the property deed, and his key doesn't work on the lock. 79 00:04:58,440 --> 00:05:01,120 Speaker 1: So he knocks at the door. This person lets him in, 80 00:05:01,520 --> 00:05:04,200 Speaker 1: and this person says to Mike, well, I hey, I'm 81 00:05:04,240 --> 00:05:07,840 Speaker 1: just doing some some building on the home. Mike notices 82 00:05:08,040 --> 00:05:12,000 Speaker 1: that absolutely everything is stripped out of that house. Again 83 00:05:12,160 --> 00:05:16,320 Speaker 1: that he owns the furniture, parts of the walls, parts 84 00:05:16,320 --> 00:05:19,280 Speaker 1: of the ceiling. The whole thing is being redone without 85 00:05:19,320 --> 00:05:24,280 Speaker 1: his knowledge. Then, you know, he he basically calls foul right, 86 00:05:24,560 --> 00:05:27,080 Speaker 1: this is my freaking house. Get out of here. The 87 00:05:27,160 --> 00:05:29,880 Speaker 1: dude who was in the house leaves, only to return 88 00:05:30,080 --> 00:05:34,240 Speaker 1: with some other person that explains that this home was 89 00:05:34,279 --> 00:05:40,760 Speaker 1: purchased in July of this year and they've got the 90 00:05:41,160 --> 00:05:43,360 Speaker 1: uh you know, they've got the paperwork for that sale 91 00:05:43,360 --> 00:05:47,160 Speaker 1: and everything. So Mike is freaking out. He then uh 92 00:05:47,360 --> 00:05:50,320 Speaker 1: calls up the authorities that have the thing in the 93 00:05:50,400 --> 00:05:54,120 Speaker 1: United Kingdom called the land Register. This is the only 94 00:05:54,240 --> 00:05:58,280 Speaker 1: official record of who owns what land, what property is, 95 00:05:58,720 --> 00:06:03,320 Speaker 1: what persons right and within this land registry, if your 96 00:06:03,440 --> 00:06:06,800 Speaker 1: name is on a piece of property, then you own 97 00:06:06,880 --> 00:06:09,479 Speaker 1: that land no matter what. And if you can somehow 98 00:06:09,520 --> 00:06:12,320 Speaker 1: sneak your way in and put your name onto that 99 00:06:12,440 --> 00:06:15,440 Speaker 1: land registry rather than the person who actually owns it, 100 00:06:15,760 --> 00:06:18,880 Speaker 1: you now own that land unless you can go through 101 00:06:18,920 --> 00:06:23,320 Speaker 1: some very gosh long procedural stuff to you know, show 102 00:06:23,360 --> 00:06:26,400 Speaker 1: that fraud has occurred and change it back to your name. 103 00:06:26,480 --> 00:06:28,799 Speaker 1: Let's say, if you're the property owner like Mike, Well, 104 00:06:29,320 --> 00:06:33,840 Speaker 1: turns out somebody had gone to essentially what it would 105 00:06:33,839 --> 00:06:36,039 Speaker 1: be the d m V here in the United States, 106 00:06:36,560 --> 00:06:39,600 Speaker 1: but it's the d v l A is what it's 107 00:06:39,600 --> 00:06:44,119 Speaker 1: called there in the UK. And they had used Mike's identity, 108 00:06:44,200 --> 00:06:48,040 Speaker 1: like parts of his identity and information to get a 109 00:06:48,200 --> 00:06:52,200 Speaker 1: brand new driver's license, like a replacement one that you've 110 00:06:52,200 --> 00:06:55,960 Speaker 1: probably done before in your lives. Um, I know I've 111 00:06:55,960 --> 00:06:58,839 Speaker 1: done that before. This person was able to trick the 112 00:06:58,920 --> 00:07:02,880 Speaker 1: d v l A into giving issuing or reissuing a 113 00:07:02,960 --> 00:07:08,440 Speaker 1: driver's license that had a different address, that had a 114 00:07:08,480 --> 00:07:11,720 Speaker 1: different signature, and a couple other different things. But I 115 00:07:11,760 --> 00:07:14,600 Speaker 1: had a lot of the primary information on there to 116 00:07:14,720 --> 00:07:18,040 Speaker 1: prove that it was it was Mike, even though it 117 00:07:18,080 --> 00:07:22,280 Speaker 1: was not. Then whoever whoever did this identity theft, took 118 00:07:22,280 --> 00:07:27,360 Speaker 1: that license, placed a different photograph into it, essentially of 119 00:07:27,600 --> 00:07:29,400 Speaker 1: whoever this person was going to be that make that 120 00:07:29,680 --> 00:07:32,720 Speaker 1: was impersonating Mike to make the sale, and then used 121 00:07:32,800 --> 00:07:38,320 Speaker 1: that successfully to make this home purchase occur. And then 122 00:07:38,360 --> 00:07:41,400 Speaker 1: they took the money a hundred and thirty one thousand 123 00:07:41,440 --> 00:07:47,880 Speaker 1: pounds and just left. Uh. Pretty crazy. Yeah. One of 124 00:07:47,880 --> 00:07:51,480 Speaker 1: my first questions for you here, Matt is do you 125 00:07:51,680 --> 00:07:56,920 Speaker 1: think that the pandemic and COVID procedures made it easier 126 00:07:57,200 --> 00:08:00,200 Speaker 1: to perpetrate this kind of theft, Like was it was 127 00:08:00,240 --> 00:08:03,280 Speaker 1: it possible that he was just doing it online and 128 00:08:03,520 --> 00:08:06,360 Speaker 1: just had the right information. I can't tell you precisely 129 00:08:06,400 --> 00:08:09,200 Speaker 1: that that's what happened, but I'm just with you. I 130 00:08:09,240 --> 00:08:13,840 Speaker 1: think that's probably the case. Right, nobody's actually going in 131 00:08:13,880 --> 00:08:15,360 Speaker 1: to the d v l A or you don't have 132 00:08:15,440 --> 00:08:16,960 Speaker 1: to go into the d v l A to prove 133 00:08:16,960 --> 00:08:19,920 Speaker 1: who you are in the same way during COVID restrictions 134 00:08:19,960 --> 00:08:22,600 Speaker 1: as you would in normal times. Whatever that will be 135 00:08:22,640 --> 00:08:24,720 Speaker 1: in the future or what it was in the past, 136 00:08:25,400 --> 00:08:29,120 Speaker 1: But I can totally see that that step, that physical 137 00:08:29,320 --> 00:08:32,240 Speaker 1: step away from being in person doing some of these 138 00:08:32,240 --> 00:08:34,199 Speaker 1: things would cause it to be easier. Yeah, And I'm 139 00:08:34,200 --> 00:08:38,320 Speaker 1: wondering how they can now figure out who this who 140 00:08:38,360 --> 00:08:41,400 Speaker 1: the fake Mike is? Who's Mike too? You know? How 141 00:08:41,400 --> 00:08:45,079 Speaker 1: do they do a a mic check in new sorts 142 00:08:45,120 --> 00:08:48,800 Speaker 1: of situations like UH? Is it would they be able 143 00:08:48,840 --> 00:08:52,960 Speaker 1: to use facial recognition of this person's photograph? Would they be? 144 00:08:53,120 --> 00:08:56,080 Speaker 1: I I don't know, because I went to while we're talking, 145 00:08:56,520 --> 00:09:00,280 Speaker 1: just for curiosity's sake, I hopped onto gov dot UK 146 00:09:01,040 --> 00:09:03,559 Speaker 1: UH you know, and I was looking at the process 147 00:09:03,640 --> 00:09:08,160 Speaker 1: of renewing license, which it appears you can do online 148 00:09:08,440 --> 00:09:13,120 Speaker 1: in its entirety. Yeah. And one of the reasons they 149 00:09:13,200 --> 00:09:17,080 Speaker 1: know kind of well, I mean you're talking about facial recognition. 150 00:09:17,320 --> 00:09:20,280 Speaker 1: They've got a picture of somebody whoever that you know, 151 00:09:20,800 --> 00:09:23,199 Speaker 1: somebody who was a part of it, right, somebody who 152 00:09:23,559 --> 00:09:27,160 Speaker 1: pretended to be Mike in one situation or another where 153 00:09:27,240 --> 00:09:29,880 Speaker 1: documents were changed hands or something, right, And that i 154 00:09:30,000 --> 00:09:32,920 Speaker 1: D was needed because the copy of that i D 155 00:09:33,520 --> 00:09:36,920 Speaker 1: is with the BBC folks who did the investigation as 156 00:09:36,920 --> 00:09:40,280 Speaker 1: well as I guess this I don't know. I don't 157 00:09:40,280 --> 00:09:43,520 Speaker 1: know who it is because it's not the police. This 158 00:09:43,600 --> 00:09:48,000 Speaker 1: is not a criminal offense in the same way you'd 159 00:09:48,040 --> 00:09:51,040 Speaker 1: imagine a lot of other crimes like this maybe should be. 160 00:09:51,480 --> 00:09:55,080 Speaker 1: This is considered a civil thing, I guess in Bedfordshire, 161 00:09:56,200 --> 00:10:00,440 Speaker 1: So they can't like press charges in the same way 162 00:10:00,520 --> 00:10:02,559 Speaker 1: against this person too. Then you know, have the law 163 00:10:02,640 --> 00:10:05,680 Speaker 1: enforcement do facial recognition to track this person down. But 164 00:10:05,720 --> 00:10:09,160 Speaker 1: they do have voice. They do have the voice of 165 00:10:09,200 --> 00:10:12,200 Speaker 1: somebody who was a part of this team perhaps or 166 00:10:12,360 --> 00:10:15,600 Speaker 1: maybe it's the same person. They've got a voice recording 167 00:10:15,679 --> 00:10:19,760 Speaker 1: from the solicitor, the attorney with whom this person worked 168 00:10:20,000 --> 00:10:22,880 Speaker 1: to sell the house. And there's two two recordings of 169 00:10:22,920 --> 00:10:25,280 Speaker 1: it where you can hear this person's voice clearly and 170 00:10:25,320 --> 00:10:28,960 Speaker 1: again BBC you and yours. That's the program they've You 171 00:10:29,000 --> 00:10:32,119 Speaker 1: can go there and listen to it. Uh it's BBC 172 00:10:32,280 --> 00:10:36,120 Speaker 1: dot CEO dot UK slash sounds and you can find 173 00:10:36,120 --> 00:10:38,920 Speaker 1: it there. So are you saying that that what would 174 00:10:38,920 --> 00:10:42,040 Speaker 1: typically be considered evidence of a crime is like somehow 175 00:10:42,400 --> 00:10:46,640 Speaker 1: an admissible in this situation, that they can't run vocal 176 00:10:46,840 --> 00:10:49,959 Speaker 1: recognition to tie this to a person's identity. Well, I mean, 177 00:10:50,000 --> 00:10:51,520 Speaker 1: it's just I'm just saying it when it's not a 178 00:10:51,520 --> 00:10:54,480 Speaker 1: police investigation, at least according to what the BBC is saying. 179 00:10:54,480 --> 00:10:56,880 Speaker 1: And Mike, according to mine, he went to the police 180 00:10:56,920 --> 00:10:59,400 Speaker 1: and tried to, you know, write up a report like 181 00:10:59,400 --> 00:11:01,679 Speaker 1: a crime report work, right, But they said, no, this 182 00:11:01,720 --> 00:11:03,920 Speaker 1: is not a crime. This is a civil offense. We 183 00:11:04,000 --> 00:11:06,280 Speaker 1: can't do anything about it. But you can, you know, 184 00:11:06,480 --> 00:11:09,200 Speaker 1: go down all these other routes. So I'm just imagining 185 00:11:09,200 --> 00:11:11,760 Speaker 1: it'd be more difficult to like get those resources to 186 00:11:11,800 --> 00:11:16,440 Speaker 1: do I don't know, vocal recognition, facial recognition, all that stuff. 187 00:11:16,559 --> 00:11:18,000 Speaker 1: Let me add a bit of Carmen here if we 188 00:11:18,040 --> 00:11:21,360 Speaker 1: haven't mentioned it before. And if you're the thief and 189 00:11:21,360 --> 00:11:24,120 Speaker 1: you're listening to the show, you know, first off, thanks 190 00:11:24,160 --> 00:11:26,240 Speaker 1: for tuning in. You know, don't agree with your choices, 191 00:11:26,240 --> 00:11:30,719 Speaker 1: but give us a review. And here's the thing. This 192 00:11:30,760 --> 00:11:35,320 Speaker 1: guy is a vicar, so you're stealing from a religious 193 00:11:35,320 --> 00:11:41,640 Speaker 1: figure as well. Yeah, yeah, not great, um, And just 194 00:11:41,679 --> 00:11:44,200 Speaker 1: a terrible situation to be in if you, you know, 195 00:11:44,280 --> 00:11:47,320 Speaker 1: own a property and that's a lot of money, especially 196 00:11:47,520 --> 00:11:49,760 Speaker 1: who knows how much you've got invested into it, how 197 00:11:49,840 --> 00:11:53,439 Speaker 1: much maybe your mortgage was worth, or how much you had. 198 00:11:53,880 --> 00:11:57,040 Speaker 1: It's just a terrible situation to have it completely taken 199 00:11:57,040 --> 00:12:00,000 Speaker 1: out from under you, and it seems like you don't 200 00:12:00,160 --> 00:12:03,080 Speaker 1: have much you can do about it. Um. And plus 201 00:12:03,160 --> 00:12:05,200 Speaker 1: you know what if the people who purchased that property 202 00:12:05,280 --> 00:12:09,120 Speaker 1: were completely innocent, just there was some a fraudster is 203 00:12:09,160 --> 00:12:12,360 Speaker 1: what the BBC or first to them as some fraudster 204 00:12:12,720 --> 00:12:15,960 Speaker 1: sold it to you, and now what you've got to 205 00:12:15,960 --> 00:12:17,720 Speaker 1: give the property back and then try and get your 206 00:12:17,760 --> 00:12:23,520 Speaker 1: money back somehow out they did everything right on their end, 207 00:12:24,320 --> 00:12:27,080 Speaker 1: they just didn't know that there was a fake Mike 208 00:12:27,120 --> 00:12:31,840 Speaker 1: in the mix. You know exactly there was a fake Mike. Um, okay, 209 00:12:31,880 --> 00:12:35,400 Speaker 1: So last thing we're gonna just mention here. If you 210 00:12:35,440 --> 00:12:40,640 Speaker 1: are in the UK, first listen to that that BBC 211 00:12:41,280 --> 00:12:43,560 Speaker 1: UH I guess I think it's a podcast or maybe 212 00:12:43,600 --> 00:12:46,720 Speaker 1: just a radio program. Listen to that, get some of 213 00:12:46,760 --> 00:12:49,559 Speaker 1: the details for yourself. You can read in the BBC 214 00:12:50,240 --> 00:12:55,480 Speaker 1: U the story itself, and then check on maybe your situation, 215 00:12:55,720 --> 00:13:01,119 Speaker 1: your your identity situation. Because the v l A alerted 216 00:13:01,240 --> 00:13:05,079 Speaker 1: the real Mike that someone tried to reissue his driver's 217 00:13:05,160 --> 00:13:07,559 Speaker 1: license d v l A again like the d m 218 00:13:07,600 --> 00:13:10,000 Speaker 1: V here in the US, and Mike said, no, I 219 00:13:10,120 --> 00:13:13,040 Speaker 1: haven't had my license reissued. The d v l A 220 00:13:13,120 --> 00:13:16,720 Speaker 1: then says, okay, well we'll rescind this new one that 221 00:13:16,760 --> 00:13:20,040 Speaker 1: we just issued. No problem. But I guess they didn't 222 00:13:20,080 --> 00:13:22,480 Speaker 1: do it in time, or they didn't do it effectively enough, 223 00:13:22,760 --> 00:13:25,800 Speaker 1: and this person was able to impersonate Mike. Still, if 224 00:13:25,800 --> 00:13:27,640 Speaker 1: you're in the US, you can go to a bunch 225 00:13:27,679 --> 00:13:30,400 Speaker 1: of different places. I found a great article on Quicken loans, 226 00:13:30,840 --> 00:13:32,800 Speaker 1: which you know, it's not a plug for them, but 227 00:13:33,040 --> 00:13:36,120 Speaker 1: they've got a great article that shows what you can 228 00:13:36,160 --> 00:13:38,760 Speaker 1: do to kind of protect yourself if you're a property 229 00:13:38,760 --> 00:13:43,760 Speaker 1: owner of any kind against this kind of abuse, I 230 00:13:43,760 --> 00:13:48,000 Speaker 1: guess yeah, and that I'm wondering. Um. From from what 231 00:13:48,080 --> 00:13:52,160 Speaker 1: I was reading, it looks like this case is of 232 00:13:52,160 --> 00:13:55,680 Speaker 1: course a bummer, but it's also maybe not necessarily unique. 233 00:13:56,120 --> 00:14:00,079 Speaker 1: Mike is not alone here in the UK. The you 234 00:14:00,800 --> 00:14:03,720 Speaker 1: you can look on that BBC article and actually find 235 00:14:03,720 --> 00:14:07,840 Speaker 1: out that there was what three point five million pounds 236 00:14:07,840 --> 00:14:12,040 Speaker 1: worth of compensation due to fraud, uh that the land 237 00:14:12,080 --> 00:14:16,559 Speaker 1: Registry Registry paid out over the last year. So I mean, 238 00:14:17,160 --> 00:14:20,360 Speaker 1: if you think this is one thirty one thousand pounds, 239 00:14:21,000 --> 00:14:24,040 Speaker 1: if you multiply that out, I mean, that's not a 240 00:14:24,080 --> 00:14:28,720 Speaker 1: ton of land registry fraud in this way, but it's enough. 241 00:14:29,320 --> 00:14:30,960 Speaker 1: And if you jump to the US and you think 242 00:14:31,000 --> 00:14:33,640 Speaker 1: about it, and you know, any other country, but specifically 243 00:14:33,680 --> 00:14:37,960 Speaker 1: in the US. According to that Quicken Loans article, the 244 00:14:38,000 --> 00:14:42,400 Speaker 1: FBI says that nine thousand six victims lost over fifty 245 00:14:42,520 --> 00:14:46,120 Speaker 1: six million dollars in two thousand seventeen due to real 246 00:14:46,240 --> 00:14:50,880 Speaker 1: estate and rental fraud. So this this is a real problem. 247 00:14:50,920 --> 00:14:54,280 Speaker 1: It's just it depends on when you catch it. Like 248 00:14:54,320 --> 00:14:57,360 Speaker 1: when you catch that the problem is occurring, right, because 249 00:14:58,080 --> 00:15:00,120 Speaker 1: if it gets too far along in the process, then 250 00:15:00,120 --> 00:15:03,800 Speaker 1: it's very difficult to at least get money back. So 251 00:15:03,960 --> 00:15:07,160 Speaker 1: stale alert, folks, that's right, st alert. We're going to 252 00:15:07,240 --> 00:15:09,320 Speaker 1: jump to a quick commercial break and we will be 253 00:15:09,440 --> 00:15:20,520 Speaker 1: right back with more strange news and we're back. Um. 254 00:15:20,560 --> 00:15:24,200 Speaker 1: This story is definitely a bit of a bummer, UM, 255 00:15:24,240 --> 00:15:27,640 Speaker 1: but it is kind of an escalation of the type 256 00:15:27,640 --> 00:15:29,560 Speaker 1: of some some types of stories that we've covered over 257 00:15:29,600 --> 00:15:32,440 Speaker 1: the years. The idea that a lot of Asian countries 258 00:15:32,480 --> 00:15:35,000 Speaker 1: have very very tight gun laws so they don't have 259 00:15:35,280 --> 00:15:37,800 Speaker 1: mass shootings in the way that we do here in 260 00:15:37,800 --> 00:15:41,320 Speaker 1: the United States was obviously a very very good thing. Unfortunately, 261 00:15:41,400 --> 00:15:45,760 Speaker 1: that does not mean there aren't uh mass attacks that 262 00:15:45,880 --> 00:15:53,000 Speaker 1: take place often in public settings like schools or train stations. UM. Recently, 263 00:15:53,080 --> 00:15:55,440 Speaker 1: we talked about a story out of Singapore where a 264 00:15:55,440 --> 00:15:59,920 Speaker 1: lot of concerned parents were understandably upset about some creepy 265 00:16:00,040 --> 00:16:02,880 Speaker 1: louns that were hanging out outside of schools. Um turned 266 00:16:02,880 --> 00:16:05,480 Speaker 1: out they were just passing out flyers or trying to 267 00:16:06,160 --> 00:16:09,520 Speaker 1: hit these kids to this like special learning academy to 268 00:16:09,600 --> 00:16:13,280 Speaker 1: like you know, do test practices or test prepper or whatever. 269 00:16:13,720 --> 00:16:17,360 Speaker 1: UH in that particular company rightfully got an earful on 270 00:16:17,400 --> 00:16:22,920 Speaker 1: the internet. UM. Today unfortunately we have the reason that 271 00:16:23,400 --> 00:16:27,120 Speaker 1: things like that would be of concern to two parents. 272 00:16:27,640 --> 00:16:31,960 Speaker 1: UM a young man twenty four year old in Japan. 273 00:16:32,520 --> 00:16:37,240 Speaker 1: In Tokyo. UM dressed up as the joker, particularly the 274 00:16:37,440 --> 00:16:39,760 Speaker 1: uh I. Guess it was kind of a combination of 275 00:16:39,800 --> 00:16:42,960 Speaker 1: the Joaquin Phoenix joker and the Heath Ledger joker. Wearing 276 00:16:43,040 --> 00:16:47,080 Speaker 1: kind of a purple suit and a green shirt. UM 277 00:16:47,200 --> 00:16:52,240 Speaker 1: went on a stabbing rampage. UM on a train on 278 00:16:52,280 --> 00:16:55,120 Speaker 1: the way to Shinjuku, which is a very very busy 279 00:16:55,160 --> 00:16:59,520 Speaker 1: train station. UM. In Tokyo. It was the Kyo Line 280 00:16:59,640 --> 00:17:04,520 Speaker 1: ka Io. UM. He had a knife and he apparently 281 00:17:04,680 --> 00:17:10,040 Speaker 1: just went wild, slashing and stabbing people while also dousing 282 00:17:10,080 --> 00:17:13,399 Speaker 1: the train cars in lighter fluid UM and according to 283 00:17:13,440 --> 00:17:17,080 Speaker 1: some reports, set a few small fires. There were seventeen 284 00:17:17,119 --> 00:17:21,679 Speaker 1: people that were injured in the attack, some that were cut, 285 00:17:22,240 --> 00:17:25,600 Speaker 1: one man that was stabbed in the chest, UM, and 286 00:17:25,760 --> 00:17:29,199 Speaker 1: some others that were injured by smoke inhalation. If you 287 00:17:29,200 --> 00:17:32,080 Speaker 1: can imagine setting a fire in a closed system like 288 00:17:32,119 --> 00:17:35,480 Speaker 1: one of those moving subway cars would be bad news. 289 00:17:35,840 --> 00:17:38,120 Speaker 1: If it was you know enough, UM, you can definitely 290 00:17:38,200 --> 00:17:43,160 Speaker 1: get some nasty smoke inhalation from that. UM. The chilling 291 00:17:43,200 --> 00:17:45,920 Speaker 1: part about this is that the young man named Kyota 292 00:17:46,280 --> 00:17:51,080 Speaker 1: Ha tore Um, after he finished his spree, he just 293 00:17:51,200 --> 00:17:54,320 Speaker 1: sat in the train car with his legs crossed, smoking 294 00:17:54,320 --> 00:17:58,399 Speaker 1: a cigarette. UH. And there's video of people screaming and 295 00:17:58,480 --> 00:18:01,359 Speaker 1: running and fear and panic, and then there is one 296 00:18:01,720 --> 00:18:04,560 Speaker 1: quick shot, it's like something out of a found footage 297 00:18:04,560 --> 00:18:08,000 Speaker 1: horror film, UM, of this guy just sitting by himself, 298 00:18:08,359 --> 00:18:12,200 Speaker 1: smoking a cigarette, wearing this joker outfit. UM. And he apparently, 299 00:18:12,280 --> 00:18:16,320 Speaker 1: according to what he told police, UM admired the joker 300 00:18:16,520 --> 00:18:19,439 Speaker 1: as a character, you know, the clown prince of crime. 301 00:18:19,600 --> 00:18:22,159 Speaker 1: He was known for sewing havoc and just kind of 302 00:18:22,200 --> 00:18:25,920 Speaker 1: being an agent of chaos UM. And he was hoping 303 00:18:26,200 --> 00:18:29,880 Speaker 1: that he would get the death penalty. He specifically said 304 00:18:29,880 --> 00:18:31,440 Speaker 1: that he wanted the death penalty, and he was very 305 00:18:31,440 --> 00:18:34,920 Speaker 1: disappointed that he didn't actually kill anybody. He didn't manage 306 00:18:34,960 --> 00:18:39,000 Speaker 1: to kill anybody. UM. So, while this is horrific, UH, 307 00:18:39,040 --> 00:18:42,280 Speaker 1: these types of lone wolf attacks in other countries, specifically 308 00:18:42,320 --> 00:18:45,440 Speaker 1: our country, typically you're not going to walk away from 309 00:18:45,440 --> 00:18:48,760 Speaker 1: that without some fatalities because these folks are using you know, 310 00:18:48,960 --> 00:18:53,080 Speaker 1: military grade weapons that are you know, semi automatic or 311 00:18:53,280 --> 00:18:57,120 Speaker 1: fully automatic weapons In this situation, it's one man with 312 00:18:57,200 --> 00:18:59,840 Speaker 1: a with a you know, a blade of stabbing in 313 00:19:00,000 --> 00:19:02,560 Speaker 1: a pleamnant. Um. So there has to be some precision 314 00:19:02,560 --> 00:19:04,879 Speaker 1: involved as opposed to just kind of you know, just 315 00:19:05,080 --> 00:19:07,880 Speaker 1: spraying a train car with bullets, where you're probably gonna 316 00:19:07,920 --> 00:19:09,919 Speaker 1: have a huge number of fatality. So the fact that 317 00:19:09,920 --> 00:19:14,639 Speaker 1: the one was killed, uh is obviously a huge blessing, um, 318 00:19:14,720 --> 00:19:19,199 Speaker 1: But it is very very troubling them. The man was 319 00:19:19,280 --> 00:19:22,240 Speaker 1: described by folks who knew him in the same way 320 00:19:22,240 --> 00:19:24,560 Speaker 1: as as folks like this are often described as is 321 00:19:24,600 --> 00:19:28,560 Speaker 1: not having very many friends, as being very quiet, someone 322 00:19:28,560 --> 00:19:31,200 Speaker 1: who they would never think would take any initiative. Is 323 00:19:31,240 --> 00:19:34,920 Speaker 1: a quote that was printed in a Japanese publication called 324 00:19:35,040 --> 00:19:39,639 Speaker 1: Kyodo News. There's an English language version of that story. UM. 325 00:19:39,760 --> 00:19:43,280 Speaker 1: And it's just, you know, it's the same kind of 326 00:19:43,280 --> 00:19:45,280 Speaker 1: thing we hear and in the states of these lone 327 00:19:45,280 --> 00:19:48,000 Speaker 1: wolf attackers that you know, we're oh, they seem so 328 00:19:48,240 --> 00:19:53,040 Speaker 1: innocuous and and unthreatening. Um. But this this man apparently 329 00:19:53,080 --> 00:19:56,920 Speaker 1: had been thinking about killing for a long time. UM. 330 00:19:57,000 --> 00:19:59,960 Speaker 1: He said that he had been having trouble with war, 331 00:20:00,440 --> 00:20:03,080 Speaker 1: he had lost his job, likely due to some of 332 00:20:03,080 --> 00:20:05,960 Speaker 1: these anti social issues. Uh. And he had also you know, 333 00:20:06,000 --> 00:20:08,359 Speaker 1: he just vaguely kind of referred to the collapse of 334 00:20:08,480 --> 00:20:12,919 Speaker 1: his relationships. Um. But you can definitely see video of this. 335 00:20:13,080 --> 00:20:16,320 Speaker 1: There's stills of like a fire in a in a 336 00:20:16,320 --> 00:20:19,159 Speaker 1: train car further down, and smoke kind of flooding in. 337 00:20:19,400 --> 00:20:21,639 Speaker 1: So these were not just small fires. You can actually 338 00:20:21,640 --> 00:20:24,159 Speaker 1: see in the doorway that connects the two train cars 339 00:20:24,400 --> 00:20:29,159 Speaker 1: an absolute blaze. Um. So yeah, that's that's really the 340 00:20:29,480 --> 00:20:33,600 Speaker 1: gist of it. Um. This is one of a handful 341 00:20:34,040 --> 00:20:37,000 Speaker 1: of these types of attacks. There was an acid attack 342 00:20:37,680 --> 00:20:40,800 Speaker 1: on a train station also in Tokyo. UM. There was 343 00:20:40,840 --> 00:20:44,200 Speaker 1: another attack earlier in October. October fift or two men 344 00:20:44,240 --> 00:20:46,919 Speaker 1: were stabbed by a man at a j R we 345 00:20:47,040 --> 00:20:51,000 Speaker 1: know station. Um. And also in late August there was 346 00:20:51,040 --> 00:20:54,040 Speaker 1: a man who sprayed sulfuric acid in the face of 347 00:20:54,040 --> 00:20:56,680 Speaker 1: another man. So, you know, while the gun laws are 348 00:20:56,720 --> 00:21:01,800 Speaker 1: obviously keeping these attacks from claiming so many lives, these 349 00:21:02,160 --> 00:21:06,160 Speaker 1: particularly grizzly and up close and personal types of attacks 350 00:21:06,160 --> 00:21:10,480 Speaker 1: are truly troubling. Um. I don't know, guys, I mean, 351 00:21:11,840 --> 00:21:15,520 Speaker 1: we're not here to psychoanalyze the population of Japan or 352 00:21:15,520 --> 00:21:18,119 Speaker 1: anything like that. But I think it's no different than 353 00:21:18,160 --> 00:21:20,800 Speaker 1: any other city or any other culture maybe, and just 354 00:21:20,880 --> 00:21:23,680 Speaker 1: the fact that the laws are different sort of leads 355 00:21:23,720 --> 00:21:25,680 Speaker 1: to the types of attacks that we're seeing. But also 356 00:21:25,760 --> 00:21:29,760 Speaker 1: they aren't nearly as common as you know, gun attacks 357 00:21:29,840 --> 00:21:32,320 Speaker 1: here in the United States. Yeah, and there are there 358 00:21:32,320 --> 00:21:34,600 Speaker 1: are a couple of the things we should take note 359 00:21:34,640 --> 00:21:39,160 Speaker 1: of here. His reasons, at least from you know, he's 360 00:21:39,200 --> 00:21:43,600 Speaker 1: reading Japanese news on this, his reasons um seem a 361 00:21:43,680 --> 00:21:47,679 Speaker 1: little vague. Like you said, he said he wasn't getting 362 00:21:47,720 --> 00:21:50,320 Speaker 1: on well with his friends. He it sounds like the 363 00:21:50,359 --> 00:21:52,480 Speaker 1: thing that was really the feather on the camel's back 364 00:21:52,520 --> 00:21:55,560 Speaker 1: here was the Uh he felt he had messed up 365 00:21:55,560 --> 00:21:58,680 Speaker 1: at work, but the police they had no fixed address, 366 00:21:59,080 --> 00:22:01,399 Speaker 1: so he was all read a kind of on the 367 00:22:01,440 --> 00:22:05,120 Speaker 1: outs of society. On a larger scale, what we can 368 00:22:05,160 --> 00:22:11,560 Speaker 1: see is that there is a dangerous predictor for instability 369 00:22:11,720 --> 00:22:17,760 Speaker 1: in a population, and it's disaffected young men without community. Right, 370 00:22:17,840 --> 00:22:20,040 Speaker 1: That's one of the that's one of the big factors 371 00:22:20,080 --> 00:22:25,720 Speaker 1: that can lead to instability in any society. Uh. This guy, clearly, 372 00:22:25,760 --> 00:22:30,040 Speaker 1: as you said, thought about this for some time. Who 373 00:22:30,119 --> 00:22:34,320 Speaker 1: was only he's twenty four right when this occurs. Yeah, so, 374 00:22:35,160 --> 00:22:39,640 Speaker 1: um what it was on Halloween by the way, Yeah, 375 00:22:39,880 --> 00:22:43,919 Speaker 1: we don't know what the We don't know what the 376 00:22:44,040 --> 00:22:47,199 Speaker 1: legal decisions will be here. There is one person in 377 00:22:47,240 --> 00:22:50,399 Speaker 1: critical condition, I think, but so far they have not 378 00:22:50,680 --> 00:22:52,720 Speaker 1: passed away. That's going to be one of the big, 379 00:22:52,760 --> 00:22:56,240 Speaker 1: big factors of what happens to him. And if he 380 00:22:56,280 --> 00:22:58,560 Speaker 1: does get the death penalty. Do you guys know how 381 00:22:58,560 --> 00:23:01,120 Speaker 1: the death penalty works in Japan? It's horrified. I don't. 382 00:23:01,240 --> 00:23:04,440 Speaker 1: I'd love to, not love to surprisingly stuff, but I 383 00:23:04,640 --> 00:23:07,880 Speaker 1: have no idea actually they So if you get sentenced 384 00:23:07,920 --> 00:23:10,160 Speaker 1: to the death penalty in Japan, you're on death row. 385 00:23:10,760 --> 00:23:15,400 Speaker 1: One thing that you will not know is your date 386 00:23:15,480 --> 00:23:20,560 Speaker 1: of execution. One day, they will just walk in and 387 00:23:20,640 --> 00:23:23,320 Speaker 1: they will take you and they will execute you. Might 388 00:23:23,400 --> 00:23:29,880 Speaker 1: be I believe executions are mainly carried out by hanging 389 00:23:30,080 --> 00:23:34,439 Speaker 1: in Japan, which is a nasty way to go, of course. 390 00:23:34,640 --> 00:23:39,440 Speaker 1: But but what you know, if if the one person 391 00:23:39,600 --> 00:23:42,879 Speaker 1: is in critical condition now actually does expire, then it 392 00:23:42,920 --> 00:23:46,280 Speaker 1: could become a death penalty case. I mean, it's obviously premeditated. 393 00:23:47,040 --> 00:23:50,760 Speaker 1: I don't know what kind of mental health arguments could 394 00:23:50,760 --> 00:23:52,960 Speaker 1: be made, and I don't know how they would fly 395 00:23:53,119 --> 00:23:55,480 Speaker 1: in the Japanese legal system. You know what I'm saying, 396 00:23:56,119 --> 00:23:57,959 Speaker 1: I got a question for you. If a guy like 397 00:23:58,040 --> 00:24:00,480 Speaker 1: this wants to be executed on death, I mean obviously 398 00:24:00,520 --> 00:24:03,520 Speaker 1: wants to make a big show of it. Um, he's 399 00:24:03,560 --> 00:24:06,239 Speaker 1: not beholden to hire a lawyer who's going to make 400 00:24:06,280 --> 00:24:09,439 Speaker 1: a good argument for him, right, you know what? Uh, 401 00:24:09,560 --> 00:24:12,880 Speaker 1: I don't know. I don't know because I've luckily never 402 00:24:12,920 --> 00:24:16,960 Speaker 1: been involved with the Japanese legal system in that regard. Shot. 403 00:24:17,000 --> 00:24:19,359 Speaker 1: I'm getting that though. Yeah, Like, if someone really was 404 00:24:19,680 --> 00:24:21,359 Speaker 1: had it, you know, in their mind they wanted to 405 00:24:21,359 --> 00:24:24,359 Speaker 1: be executed by the state, couldn't. I mean again, we know, 406 00:24:24,440 --> 00:24:26,720 Speaker 1: like here, for example, you could probably torpedo your own 407 00:24:26,720 --> 00:24:30,000 Speaker 1: case by representing yourself poorly, um or just you know, 408 00:24:30,200 --> 00:24:32,320 Speaker 1: swearing off your right to an attorney. I'm just interested. 409 00:24:32,320 --> 00:24:34,840 Speaker 1: I would be interested to know how that works in Japan. 410 00:24:35,160 --> 00:24:38,439 Speaker 1: But also it really does speak to this guy's mental state. 411 00:24:39,200 --> 00:24:41,280 Speaker 1: If he wanted to die so badly, why not just 412 00:24:41,359 --> 00:24:44,320 Speaker 1: kill himself as opposed to making such a big show 413 00:24:44,320 --> 00:24:46,640 Speaker 1: of it and then being executed by the city. Obviously 414 00:24:46,640 --> 00:24:49,840 Speaker 1: has some some kind of delusions of grandeur or some 415 00:24:49,920 --> 00:24:52,560 Speaker 1: sort of form of megalomania where he needs to be 416 00:24:52,640 --> 00:24:55,320 Speaker 1: like the center of attention in some way. It seems 417 00:24:55,359 --> 00:24:59,800 Speaker 1: certainly I believe he said maybe in that France twenty 418 00:24:59,800 --> 00:25:04,000 Speaker 1: four article that he wanted to die, but he couldn't 419 00:25:04,000 --> 00:25:05,920 Speaker 1: do it himself, so he came up with a plan 420 00:25:06,520 --> 00:25:09,840 Speaker 1: to die. Yeah, I don't know, And I'm just I'm 421 00:25:09,840 --> 00:25:13,240 Speaker 1: thinking back particularly to the Halloween thing, that this that 422 00:25:13,320 --> 00:25:16,600 Speaker 1: he carried it out on Halloween when there are multiple 423 00:25:16,680 --> 00:25:20,080 Speaker 1: people probably on that train, definitely in the train station 424 00:25:20,080 --> 00:25:23,480 Speaker 1: around the train station, that are in costume. He would 425 00:25:23,560 --> 00:25:27,879 Speaker 1: not you wouldn't think twice seeing a joker walking around 426 00:25:27,960 --> 00:25:32,480 Speaker 1: on Halloween night. And he chose that day amidst that 427 00:25:32,600 --> 00:25:36,040 Speaker 1: confusion that's already there to carry out this attack that 428 00:25:36,280 --> 00:25:41,480 Speaker 1: I mean, that alone should lead to whatever he gets, 429 00:25:41,680 --> 00:25:44,560 Speaker 1: you know, officially charged with. And and how a judge 430 00:25:45,040 --> 00:25:51,680 Speaker 1: adjudicates that the system for deciding the death penalty or 431 00:25:52,080 --> 00:25:56,080 Speaker 1: a conviction of any sort is pretty fascinating. Is different 432 00:25:56,119 --> 00:25:59,400 Speaker 1: from what happens in the US district courts. Try these 433 00:25:59,440 --> 00:26:04,119 Speaker 1: capital caces, you with a team of like three professional 434 00:26:04,200 --> 00:26:09,040 Speaker 1: judges and then six citizens non judges chosen at random. 435 00:26:09,320 --> 00:26:11,960 Speaker 1: Is that like a stand in for a jury. Uh. 436 00:26:11,960 --> 00:26:15,880 Speaker 1: They it's called the lay judge system. Interesting, so this 437 00:26:16,000 --> 00:26:18,720 Speaker 1: is a different environment. But I would point out, so 438 00:26:18,760 --> 00:26:21,680 Speaker 1: I've been dishing Juku and you know, you guys are right, 439 00:26:21,720 --> 00:26:24,920 Speaker 1: it's a big, big place. Uh. It's also not unusual 440 00:26:25,040 --> 00:26:28,800 Speaker 1: to see people in costume in general, you know what 441 00:26:28,840 --> 00:26:30,800 Speaker 1: I mean, Like the district for that. Isn't that like 442 00:26:30,880 --> 00:26:33,600 Speaker 1: the like one of the big districts for like fashion. 443 00:26:33,600 --> 00:26:36,480 Speaker 1: Now that's hard as Juku s I'm confusing my Jukus. 444 00:26:36,520 --> 00:26:38,240 Speaker 1: But still in Japan in general, I mean, it's like 445 00:26:38,720 --> 00:26:41,520 Speaker 1: not on common to see people cosplaying, you know, all 446 00:26:41,560 --> 00:26:45,520 Speaker 1: over the place, right exactly there was when I was there, 447 00:26:45,560 --> 00:26:47,800 Speaker 1: I saw some people in costume as well. But to 448 00:26:47,840 --> 00:26:51,760 Speaker 1: your point, Matt, Uh, people in Japan are aware of 449 00:26:51,800 --> 00:26:54,760 Speaker 1: the tradition of Halloween, and I think it's been growing 450 00:26:54,760 --> 00:26:58,760 Speaker 1: in popularity for a number of years now. It is interesting, 451 00:26:59,000 --> 00:27:01,760 Speaker 1: um speaking to his mindset in terms of how he 452 00:27:01,880 --> 00:27:06,200 Speaker 1: viewed his victims. Uh. There is a scene in the 453 00:27:06,280 --> 00:27:10,040 Speaker 1: Joaquin Phoenix Joker movie where, at a pivotal moment in 454 00:27:10,320 --> 00:27:14,399 Speaker 1: you know whatever his character's name is, Gary Fleck or whatever, 455 00:27:15,119 --> 00:27:21,040 Speaker 1: his transformation into the Joker, he kills some bully type 456 00:27:21,040 --> 00:27:24,560 Speaker 1: men on a subway train, and that sort of marks 457 00:27:24,680 --> 00:27:29,040 Speaker 1: his metamorphosis, the beginning of his like metamorphosis into the Joker. UM. 458 00:27:29,160 --> 00:27:31,399 Speaker 1: So I'm wondering if this guy, I mean, obviously he 459 00:27:31,720 --> 00:27:36,560 Speaker 1: had to have some malice towards those who you know, 460 00:27:36,960 --> 00:27:39,800 Speaker 1: rejected him, or in some way he couldn't like break 461 00:27:39,840 --> 00:27:45,280 Speaker 1: through and have a connection with um The reports, you know, 462 00:27:45,359 --> 00:27:47,480 Speaker 1: from the passengers that were on the train say he 463 00:27:47,600 --> 00:27:50,720 Speaker 1: just like acted like a robot. He had no emotion 464 00:27:51,160 --> 00:27:53,880 Speaker 1: uh in in in the act as he carried it out. 465 00:27:54,200 --> 00:27:57,040 Speaker 1: And I saw that he specifically said to the police 466 00:27:57,080 --> 00:27:59,399 Speaker 1: that it didn't matter who is victims were. He just 467 00:27:59,440 --> 00:28:02,720 Speaker 1: thought that he killed what two or more people, he'd 468 00:28:02,720 --> 00:28:05,560 Speaker 1: be a shoeing for the death penalty. I guess that's right. Yeah, 469 00:28:05,680 --> 00:28:07,760 Speaker 1: I don't know. I just think that the connection between 470 00:28:08,280 --> 00:28:10,880 Speaker 1: the scene and the Joker and him in the particular 471 00:28:10,920 --> 00:28:13,200 Speaker 1: type of outfit that he chose to wear me I 472 00:28:13,240 --> 00:28:16,159 Speaker 1: don't know. I'm probably overthinking it, but I think you're right. 473 00:28:16,240 --> 00:28:17,520 Speaker 1: I think at the end of the day, his end 474 00:28:17,560 --> 00:28:20,280 Speaker 1: game was just to you know, kill as many people 475 00:28:20,320 --> 00:28:23,520 Speaker 1: as possible, which, thankfully, in this type of situation is 476 00:28:23,560 --> 00:28:25,720 Speaker 1: not as easy as one might think. One person with 477 00:28:25,720 --> 00:28:28,440 Speaker 1: a knife, you're not going to have a high kill 478 00:28:28,520 --> 00:28:33,040 Speaker 1: rate unless you're incredibly precise and know exactly what you're doing. Um, 479 00:28:33,200 --> 00:28:36,920 Speaker 1: people were able to escape out of windows. Um. You've 480 00:28:36,920 --> 00:28:40,240 Speaker 1: got accounts from you know, commuters that say they barely 481 00:28:40,360 --> 00:28:43,840 Speaker 1: escaped the train car that he was on. Um, but 482 00:28:43,880 --> 00:28:46,920 Speaker 1: they thankfully did and many that that spoke to the 483 00:28:46,920 --> 00:28:49,360 Speaker 1: press were not injured at all. Uh. And to your 484 00:28:49,400 --> 00:28:52,320 Speaker 1: point Ben about Halloween that hey, that's my fall guys. 485 00:28:53,000 --> 00:28:55,840 Speaker 1: Um just looking at the footage of the actual incident, 486 00:28:55,920 --> 00:28:58,719 Speaker 1: and almost nobody is wearing a costume because they're not 487 00:28:58,800 --> 00:29:04,080 Speaker 1: celebrating Halloween widely. About that very American centric there on 488 00:29:04,120 --> 00:29:06,440 Speaker 1: my part. Oh no, no, I mean I think it 489 00:29:06,520 --> 00:29:10,520 Speaker 1: was from about the year two thousand. Since then, Halloween 490 00:29:10,560 --> 00:29:12,800 Speaker 1: has been growing in popularity, So even if people were 491 00:29:12,920 --> 00:29:15,640 Speaker 1: dressed up, they were aware of it. And Juko is 492 00:29:15,680 --> 00:29:18,240 Speaker 1: a huge place, So, like Goal was saying earlier, it 493 00:29:18,360 --> 00:29:22,040 Speaker 1: is an unusual to see someone in costume. If you 494 00:29:22,080 --> 00:29:24,640 Speaker 1: want a really cool on a very light on a 495 00:29:24,720 --> 00:29:26,760 Speaker 1: much letter note, if you want to you want to cool, 496 00:29:26,840 --> 00:29:30,680 Speaker 1: look at how Japan has handled some other Western holidays. 497 00:29:31,160 --> 00:29:34,680 Speaker 1: Look at the KFC and Christmas. It's an amazing story. 498 00:29:35,360 --> 00:29:37,440 Speaker 1: Still still not sure how I feel about it, but 499 00:29:37,560 --> 00:29:41,640 Speaker 1: KFC is huge for Christmas in Japan. That's right, we 500 00:29:41,680 --> 00:29:45,640 Speaker 1: did an episode about the reticulous history. If I'm not mistaken, Um, 501 00:29:45,760 --> 00:29:48,400 Speaker 1: and Matt, you're not wrong that he he had come 502 00:29:48,440 --> 00:29:53,320 Speaker 1: from a particular district that was very Halloween e um. 503 00:29:53,400 --> 00:29:56,760 Speaker 1: And also the BBC, I'm sorry. The Guardian reporting on 504 00:29:56,800 --> 00:30:00,160 Speaker 1: it says, quote witnesses told public broadcaster and a k 505 00:30:00,320 --> 00:30:03,480 Speaker 1: how petrified passengers had fled to adjoining carriages and jumped 506 00:30:03,520 --> 00:30:05,720 Speaker 1: out of windows during the attack, which occurred on Sunday, 507 00:30:05,760 --> 00:30:08,760 Speaker 1: when the Japanese capital was full of Halloween revelers, many 508 00:30:08,840 --> 00:30:11,360 Speaker 1: and costume. So I mean the footage we have is 509 00:30:11,400 --> 00:30:19,520 Speaker 1: is limited, Okay, indicated right, Um, But this story is 510 00:30:19,560 --> 00:30:23,360 Speaker 1: nothing but wrong and um it's a very sad story. Again, 511 00:30:23,400 --> 00:30:26,720 Speaker 1: I'm not trying to soapbox here about gun control or anything, 512 00:30:26,720 --> 00:30:31,040 Speaker 1: but it does show that having some form of gun 513 00:30:31,080 --> 00:30:36,800 Speaker 1: control does keep these incidents from causing more deaths. You know, Um, 514 00:30:36,840 --> 00:30:39,320 Speaker 1: if this was somebody with a submachine gun, you know, 515 00:30:39,520 --> 00:30:42,160 Speaker 1: it would have been a much higher fatality rate. So 516 00:30:42,200 --> 00:30:44,080 Speaker 1: with that, let's take one more pause for a word 517 00:30:44,120 --> 00:30:45,960 Speaker 1: from our sponsor, and then be back with one more 518 00:30:46,000 --> 00:30:55,760 Speaker 1: strange news, and we have returned. We're not gonna leave 519 00:30:55,800 --> 00:31:00,320 Speaker 1: you hanging with these grim stories of of crime, of 520 00:31:00,320 --> 00:31:04,960 Speaker 1: of depravity and tragedy. And you know, stealing somebody's identity 521 00:31:05,000 --> 00:31:08,000 Speaker 1: and then stealing their house. Those are two terrible things. 522 00:31:08,600 --> 00:31:13,680 Speaker 1: We wanted to end today with something that could maybe 523 00:31:13,680 --> 00:31:16,680 Speaker 1: not be terrible, but it could also be terrible. Here's 524 00:31:17,120 --> 00:31:19,400 Speaker 1: I was thinking about how to get into this story. 525 00:31:19,520 --> 00:31:23,120 Speaker 1: It amazed me. You guys know, I read pretty widely 526 00:31:23,160 --> 00:31:26,520 Speaker 1: about weird things like this. Uh, we all know what 527 00:31:26,600 --> 00:31:30,440 Speaker 1: a sperm whale is. It's the most hilariously named whale. Right. 528 00:31:30,880 --> 00:31:32,840 Speaker 1: Uh there, you're a child like we are, which we are, 529 00:31:33,120 --> 00:31:38,720 Speaker 1: right right, It's also sperm whale. Uh, it's all. It's 530 00:31:38,760 --> 00:31:46,520 Speaker 1: also a credibly intelligent cetacean. It's brain is enormous. And 531 00:31:46,640 --> 00:31:48,280 Speaker 1: if I could, I just want to say, I think 532 00:31:48,280 --> 00:31:51,440 Speaker 1: it's delightful that you can both giggle about sperm whale 533 00:31:51,480 --> 00:31:54,960 Speaker 1: but then also use the very smart word cetacean. Uh. 534 00:31:55,080 --> 00:31:58,400 Speaker 1: You contain multitudes of my friend, it's too kind. That 535 00:31:58,480 --> 00:32:01,200 Speaker 1: goes for everyone, every one of us, and every one 536 00:32:01,240 --> 00:32:05,320 Speaker 1: of us listening at home. We do contain multitudes. Uh, 537 00:32:05,480 --> 00:32:09,240 Speaker 1: here's the thing. For a long time, people have been 538 00:32:09,360 --> 00:32:15,000 Speaker 1: arguing over whether or not animals have something called language. 539 00:32:15,520 --> 00:32:18,840 Speaker 1: For a lot of folks in in academia and in 540 00:32:18,880 --> 00:32:22,800 Speaker 1: the world of science, language is almost like one of 541 00:32:22,840 --> 00:32:26,520 Speaker 1: the last bastions of human exclusivity. The more we have 542 00:32:26,640 --> 00:32:30,880 Speaker 1: learned about animals over millennia, the more we have learned 543 00:32:30,920 --> 00:32:33,600 Speaker 1: that they are, in some cases capable of doing things 544 00:32:33,640 --> 00:32:36,600 Speaker 1: that we would normally think only people could do, Like 545 00:32:36,680 --> 00:32:40,840 Speaker 1: animals can make tools, animals can teach their young, knowledge 546 00:32:41,360 --> 00:32:45,960 Speaker 1: transmitted across generations for a long time. Uh. Some my 547 00:32:46,080 --> 00:32:50,560 Speaker 1: favorite birds, corvids are an excellent, if at times disturbing 548 00:32:50,680 --> 00:32:57,080 Speaker 1: example of this. And citations as well are incredibly intelligent. 549 00:32:57,640 --> 00:32:59,800 Speaker 1: They have You know, you've all heard the idea of 550 00:32:59,840 --> 00:33:04,480 Speaker 1: like whale communication. We've heard of whale songs, and you've 551 00:33:04,560 --> 00:33:07,000 Speaker 1: you've probably gotten a chance to hear some of those 552 00:33:07,040 --> 00:33:12,560 Speaker 1: online before. Yeah. Yeah, it's not exactly the newest Limp 553 00:33:12,560 --> 00:33:16,200 Speaker 1: Biscuit album, but there's definitely a structure to it and 554 00:33:16,200 --> 00:33:18,840 Speaker 1: it's just one of those things. Wait, one of those days, 555 00:33:18,880 --> 00:33:23,560 Speaker 1: dang it, I screwed up the Limp biscuit reference. Please, yes, 556 00:33:24,520 --> 00:33:28,480 Speaker 1: that's what that's that's our olympiscuits. Shout out, we did it, guys, 557 00:33:28,520 --> 00:33:33,560 Speaker 1: we got there. So So, sperm whales actually speak in clicks, 558 00:33:34,120 --> 00:33:37,520 Speaker 1: so they make these clicking noises think almost like Morse code, 559 00:33:37,720 --> 00:33:42,800 Speaker 1: and their rhythmic and they're in the series called codas, 560 00:33:42,920 --> 00:33:48,200 Speaker 1: and these codas appear to be communication. Now, people who 561 00:33:48,280 --> 00:33:52,360 Speaker 1: don't believe that animals, non human animals, i should say, 562 00:33:52,360 --> 00:33:56,800 Speaker 1: can communicate through language would say, well, they don't have 563 00:33:57,240 --> 00:33:59,920 Speaker 1: two of the big defining factors of language, which are 564 00:34:00,000 --> 00:34:04,000 Speaker 1: things like grammar. Uh, that turns out not to be 565 00:34:04,400 --> 00:34:08,560 Speaker 1: entirely true. Grammar, you know, grammars the reason that we 566 00:34:08,760 --> 00:34:12,200 Speaker 1: order words in the way that we order them, regardless 567 00:34:12,200 --> 00:34:15,000 Speaker 1: of which language you're talking about, or at least that 568 00:34:15,000 --> 00:34:19,080 Speaker 1: goes with most languages. There's this excellent article in the 569 00:34:19,120 --> 00:34:25,200 Speaker 1: Atlantic by Christophe Drosser and Hakai magazine which is about 570 00:34:25,239 --> 00:34:31,520 Speaker 1: the newest attempt to speak to wales, to speak to cetaceans. 571 00:34:32,040 --> 00:34:36,120 Speaker 1: It's pretty it's pretty amazing. Um. But before we talk 572 00:34:36,160 --> 00:34:39,640 Speaker 1: about it, I'd like for us all to recall one 573 00:34:39,640 --> 00:34:44,520 Speaker 1: of the other famous attempts to communicate with cetaceans, when 574 00:34:44,640 --> 00:34:47,360 Speaker 1: people were getting l s d d up with a 575 00:34:47,400 --> 00:34:51,840 Speaker 1: dolphin and eventually uh laed to. I mean, there's no 576 00:34:51,880 --> 00:34:57,320 Speaker 1: other way to say it. Lad to Atlanta hands stuff dolphin. 577 00:34:57,360 --> 00:35:00,879 Speaker 1: There's some slippery critters, let me tell you. Yeah, well, yeah, 578 00:35:01,440 --> 00:35:03,840 Speaker 1: put them in and put them in a flooded chamber 579 00:35:04,560 --> 00:35:08,480 Speaker 1: with a with a attractive lady hopped up on LSD. 580 00:35:08,680 --> 00:35:11,040 Speaker 1: I mean things are gonna happen. Some low lights got 581 00:35:11,040 --> 00:35:14,960 Speaker 1: shot a play in, you know, with a fliet storm. 582 00:35:14,960 --> 00:35:20,800 Speaker 1: Where did my hands end and your fins begin? There's 583 00:35:20,840 --> 00:35:25,440 Speaker 1: a dorsal fin I believe the technical thinking about flap 584 00:35:25,440 --> 00:35:33,280 Speaker 1: adoos flap ads. Yeah, uh so, it's so okay. People 585 00:35:33,440 --> 00:35:37,880 Speaker 1: know that there is a complex communication pattern and a 586 00:35:37,920 --> 00:35:41,279 Speaker 1: lot of citaceans doesn't meet length the standards of what 587 00:35:41,320 --> 00:35:44,440 Speaker 1: people call language. That's still up for debate in a 588 00:35:44,480 --> 00:35:49,360 Speaker 1: lot of folks minds. But now human civilization, we finally 589 00:35:49,400 --> 00:35:53,640 Speaker 1: have an answer to that question because people are using 590 00:35:54,160 --> 00:36:00,040 Speaker 1: artificial intelligence and machine learning two figure out when the 591 00:36:00,200 --> 00:36:05,280 Speaker 1: spur whales have a language, and if possible, whether humans 592 00:36:05,360 --> 00:36:09,399 Speaker 1: can speak directly to the whales. This is the aim 593 00:36:09,440 --> 00:36:14,560 Speaker 1: of something called Project Setti Cetacean Translation Initiative. You know, 594 00:36:14,600 --> 00:36:18,000 Speaker 1: it's like SETI with an S, but they're searching for 595 00:36:18,040 --> 00:36:25,360 Speaker 1: intelligence beneath the waves, so whatever and deep deep deep below. Um. 596 00:36:25,400 --> 00:36:28,799 Speaker 1: So obviously lots of members of the animal kingdom, you know, communicate. 597 00:36:29,280 --> 00:36:32,600 Speaker 1: It's obviously functional, you know, like oh, there's predators over here, 598 00:36:32,719 --> 00:36:34,400 Speaker 1: or we're just trying to you know, put out a 599 00:36:35,200 --> 00:36:37,440 Speaker 1: call to let you know where other members of your 600 00:36:37,600 --> 00:36:40,920 Speaker 1: you know group might be, right, Um, is the sense 601 00:36:41,000 --> 00:36:44,160 Speaker 1: that there's some sort of thinking that there might be 602 00:36:45,280 --> 00:36:51,719 Speaker 1: more specificity to these whales conversations than just pings like 603 00:36:51,760 --> 00:36:56,359 Speaker 1: a submarine. Yeah. The idea is that there because they 604 00:36:56,400 --> 00:37:01,000 Speaker 1: have such high intelligence. The ideas that pause sibly, if 605 00:37:01,000 --> 00:37:03,960 Speaker 1: this program can work out what whales are saying and 606 00:37:04,080 --> 00:37:06,920 Speaker 1: discernments they are saying stuff to each other, then it 607 00:37:06,960 --> 00:37:11,560 Speaker 1: would be possible for humans to maybe speak with them 608 00:37:11,600 --> 00:37:14,560 Speaker 1: in their own language. But this is like, um, you know, 609 00:37:15,000 --> 00:37:18,759 Speaker 1: recently I lent you that book The Story of your 610 00:37:18,800 --> 00:37:21,920 Speaker 1: Life and others, and the Story of your Life is 611 00:37:22,800 --> 00:37:28,000 Speaker 1: the inspiration for that film Arrival, and Arrival is about 612 00:37:28,480 --> 00:37:31,240 Speaker 1: humans trying to figure out how to speak to something 613 00:37:31,840 --> 00:37:35,360 Speaker 1: very very different. So we would be in a situation 614 00:37:35,400 --> 00:37:39,359 Speaker 1: like this with whales. If this program works out, and 615 00:37:39,400 --> 00:37:43,840 Speaker 1: there's still like, it's not right. Now you you have 616 00:37:43,880 --> 00:37:48,359 Speaker 1: our word, there's not somebody at Projects Setty discussing you know, 617 00:37:49,400 --> 00:37:52,839 Speaker 1: the best parts of the ocean with a whale right 618 00:37:52,920 --> 00:37:55,600 Speaker 1: now right, or you know, trying to figure out the 619 00:37:55,600 --> 00:37:59,719 Speaker 1: flap ado version of a high five. But this is 620 00:37:59,800 --> 00:38:02,719 Speaker 1: my closer to reality than I think a lot of 621 00:38:02,760 --> 00:38:07,000 Speaker 1: people might assume. And in my opinion, the reason when 622 00:38:07,040 --> 00:38:09,480 Speaker 1: to bring this to everybody is I'm surprised. It's like 623 00:38:09,520 --> 00:38:13,680 Speaker 1: getting more coverage, and it's an example of something that 624 00:38:13,719 --> 00:38:15,560 Speaker 1: I think all of us have been looking for for 625 00:38:15,680 --> 00:38:20,799 Speaker 1: some time, which is highly sophisticated machine learning. That it's 626 00:38:20,920 --> 00:38:25,759 Speaker 1: not used as a weapon of war. So if what 627 00:38:25,800 --> 00:38:29,080 Speaker 1: I mean yet until you put lasers on the whales 628 00:38:29,120 --> 00:38:31,600 Speaker 1: and figure out how to mind control them, or until 629 00:38:31,680 --> 00:38:33,839 Speaker 1: if it's a true AI, what if it what if 630 00:38:33,880 --> 00:38:36,959 Speaker 1: it listens to the whales, it learns their language and 631 00:38:37,040 --> 00:38:39,640 Speaker 1: they make some really good points and it's like, no, 632 00:38:39,840 --> 00:38:43,359 Speaker 1: the whales are right, forget you guys, or we can 633 00:38:43,400 --> 00:38:47,520 Speaker 1: start to use whales to like, you know, triangulate positions 634 00:38:47,680 --> 00:38:52,480 Speaker 1: of of of naval crews, you know, attack squadrons. I'm 635 00:38:52,480 --> 00:38:55,080 Speaker 1: obviously not a military analyst here. But you know what 636 00:38:55,120 --> 00:38:56,719 Speaker 1: I mean, Like, there would certainly be a way to 637 00:38:56,760 --> 00:39:00,520 Speaker 1: weaponize this technology. That's how all good science start now 638 00:39:00,560 --> 00:39:02,239 Speaker 1: all but like a lot of good science starts with 639 00:39:02,239 --> 00:39:05,719 Speaker 1: the best of intentions and a purely exploratory kind of 640 00:39:05,760 --> 00:39:08,120 Speaker 1: thirst for knowledge, and then in the moment that it 641 00:39:08,160 --> 00:39:11,839 Speaker 1: becomes worthwhile to co opt into a military purpose, that 642 00:39:11,880 --> 00:39:16,640 Speaker 1: thing will happen. Yeah, let's also consider that the there's 643 00:39:16,640 --> 00:39:18,440 Speaker 1: still a lot of speed bumps in the way of 644 00:39:18,800 --> 00:39:23,160 Speaker 1: First we have to understand what things are saying. It's 645 00:39:23,160 --> 00:39:25,600 Speaker 1: not going to do human scientists any good to have 646 00:39:25,800 --> 00:39:29,920 Speaker 1: a a bot that, for its own sake understands whale 647 00:39:30,000 --> 00:39:33,160 Speaker 1: language and just talks to the whales and the humans 648 00:39:33,160 --> 00:39:35,520 Speaker 1: have no idea what they're talking about. Also, if that 649 00:39:35,560 --> 00:39:38,600 Speaker 1: could lead to some sort of mutiny in the world order. 650 00:39:38,960 --> 00:39:42,560 Speaker 1: But if they can gather huge amounts of data, dat 651 00:39:42,560 --> 00:39:45,319 Speaker 1: alone is not going to be enough the language, the 652 00:39:45,400 --> 00:39:47,600 Speaker 1: clicking they're making. As a matter of fact, I'd like 653 00:39:47,680 --> 00:39:51,120 Speaker 1: to do is have Alexis, could you play us a 654 00:39:51,280 --> 00:39:56,120 Speaker 1: sound queue of a sperm whale communicating Matt now, will 655 00:39:56,200 --> 00:40:24,600 Speaker 1: check this out. Let me know what you think. Super cool, weird, 656 00:40:24,680 --> 00:40:28,000 Speaker 1: It's like it sounds like industrial music. It's got it 657 00:40:28,120 --> 00:40:31,600 Speaker 1: very much has this sound of like machinery, like a spoke, 658 00:40:31,920 --> 00:40:34,560 Speaker 1: you know, clicking or something like that. Like it's it's 659 00:40:34,560 --> 00:40:38,319 Speaker 1: a very um captivating kind of sound. Like it really 660 00:40:38,360 --> 00:40:41,399 Speaker 1: does have this science fiction equality to it. Yeah, it's 661 00:40:41,440 --> 00:40:46,560 Speaker 1: also the uh, it's also enormously dangerous to humans, like 662 00:40:46,680 --> 00:40:51,760 Speaker 1: the decibel wise, the vibrations. Yeah, they actually used these buzzes, 663 00:40:51,800 --> 00:40:56,839 Speaker 1: these clicks in these squeaks in their hunting activity. So 664 00:40:56,960 --> 00:41:00,400 Speaker 1: if you were too close, this could have a pretty 665 00:41:00,440 --> 00:41:03,680 Speaker 1: a pretty rough effect on you as well. But the 666 00:41:03,760 --> 00:41:08,400 Speaker 1: question again is is this a language? It sounds so alien, 667 00:41:08,719 --> 00:41:10,840 Speaker 1: you know what I mean. There are a few human 668 00:41:10,920 --> 00:41:14,800 Speaker 1: languages that use clicks. But we may be asking ourselves, 669 00:41:14,840 --> 00:41:19,480 Speaker 1: why would why would you focus this machine learning approach 670 00:41:19,600 --> 00:41:22,719 Speaker 1: on sperm whales as opposed to some other whales. The 671 00:41:22,760 --> 00:41:26,240 Speaker 1: answer is all in the clicks, because those are easier, 672 00:41:26,600 --> 00:41:31,399 Speaker 1: candidly to translate into something quantified zeros and ones click 673 00:41:31,560 --> 00:41:36,280 Speaker 1: or not click. You know, it's almost a numerical language 674 00:41:36,480 --> 00:41:39,600 Speaker 1: in some ways. It maybe, but again, you know, there 675 00:41:39,600 --> 00:41:42,279 Speaker 1: are a lot of people who think language is just 676 00:41:42,480 --> 00:41:45,880 Speaker 1: for humans. The other big issue is that it's not 677 00:41:46,080 --> 00:41:49,239 Speaker 1: enough just to relay this language. You have to know 678 00:41:49,840 --> 00:41:53,120 Speaker 1: if you want to see if the whale understands what 679 00:41:53,200 --> 00:41:56,719 Speaker 1: humans are saying through these computers, then you would have 680 00:41:56,800 --> 00:42:01,719 Speaker 1: to be able to decode the whales action, right, which 681 00:42:01,719 --> 00:42:04,080 Speaker 1: would mean you'd have to know where the whale was 682 00:42:04,239 --> 00:42:07,480 Speaker 1: when it heard this whale tail, and then you'd have 683 00:42:07,560 --> 00:42:10,560 Speaker 1: to see like it did it move differently? You know 684 00:42:10,560 --> 00:42:13,240 Speaker 1: what I mean? Do whales have the equivalent of laughter? 685 00:42:13,360 --> 00:42:15,200 Speaker 1: Do they have the equivalent of get the hell out 686 00:42:15,200 --> 00:42:17,160 Speaker 1: of my yard? You know what? Do they have? What's 687 00:42:17,239 --> 00:42:19,480 Speaker 1: their It's in their toolbox. I think the thing that 688 00:42:19,520 --> 00:42:21,000 Speaker 1: a lot of people go back to in these kinds 689 00:42:21,040 --> 00:42:24,279 Speaker 1: of stories is Coco, the guerrilla you know where. But 690 00:42:24,360 --> 00:42:26,960 Speaker 1: we have to remember too that Coco was taught to 691 00:42:27,040 --> 00:42:29,600 Speaker 1: communicate with humans, you know, it was it was a 692 00:42:29,719 --> 00:42:34,800 Speaker 1: very like you know, human language forward situation UM, where 693 00:42:34,880 --> 00:42:37,720 Speaker 1: Cocoa was taught to interact with humans and taught human 694 00:42:37,880 --> 00:42:40,759 Speaker 1: sign language and all of that. UM. So this would 695 00:42:40,760 --> 00:42:42,680 Speaker 1: be like the reverse, and they have no frame of 696 00:42:42,719 --> 00:42:45,800 Speaker 1: reference for any human concepts, right, it's the same. It 697 00:42:45,880 --> 00:42:50,160 Speaker 1: was the same deal in UM and UM arrival totally 698 00:42:50,200 --> 00:42:55,640 Speaker 1: reframe you're thinking about language sadly, Um, what experiences they 699 00:42:55,719 --> 00:43:02,440 Speaker 1: do have with human beings are probably not positive ones. Unfortunately. Um, 700 00:43:02,600 --> 00:43:06,200 Speaker 1: there's there's a funny line that that really got to 701 00:43:06,239 --> 00:43:11,000 Speaker 1: be the The leader of the SET program said the following. 702 00:43:11,040 --> 00:43:13,359 Speaker 1: He said, we understand that one of our greatest risk 703 00:43:13,640 --> 00:43:17,560 Speaker 1: is that the whales could be incredibly boring, So like, 704 00:43:17,640 --> 00:43:20,719 Speaker 1: what if? What if they're just funny duds? There's sticks 705 00:43:20,760 --> 00:43:24,560 Speaker 1: in the oceanic mud. I doubt that's the case, Um, 706 00:43:24,600 --> 00:43:26,800 Speaker 1: but I think it's humble for them to say. I said, 707 00:43:26,840 --> 00:43:29,040 Speaker 1: like to leave us with a quote by a guy 708 00:43:29,080 --> 00:43:32,799 Speaker 1: named Michael Bronstein. He's an Israeli computer scientist who is 709 00:43:32,840 --> 00:43:36,960 Speaker 1: teaching at Imperial College, London, and he's one of the 710 00:43:36,960 --> 00:43:40,239 Speaker 1: folks who's intimately tied up with projects SETTI, and he 711 00:43:40,360 --> 00:43:43,280 Speaker 1: said something I would like to I'd like to share 712 00:43:43,320 --> 00:43:45,799 Speaker 1: with you guys. He says, I think it is very 713 00:43:45,920 --> 00:43:48,960 Speaker 1: arrogant to think that Homo sapiens is the only intelligent 714 00:43:49,040 --> 00:43:52,319 Speaker 1: and sentient creature on Earth. If we discover that there 715 00:43:52,400 --> 00:43:56,000 Speaker 1: is an entire civilization basically under our news, maybe it 716 00:43:56,040 --> 00:43:58,279 Speaker 1: will result in some shift in the way that we 717 00:43:58,360 --> 00:44:01,680 Speaker 1: treat our environment, and maybe it will result in more 718 00:44:01,760 --> 00:44:05,600 Speaker 1: respect for the living world, optimistic. I don't know, what 719 00:44:05,640 --> 00:44:07,760 Speaker 1: do you guys think? What do you think the whales 720 00:44:07,800 --> 00:44:19,359 Speaker 1: are gonna say? You humans? I can't this is this 721 00:44:19,400 --> 00:44:21,919 Speaker 1: is a really dumb thing to bring up. I'm gonna 722 00:44:21,920 --> 00:44:24,640 Speaker 1: do anyway, Because we just finished Halloween. I recently or 723 00:44:24,719 --> 00:44:27,600 Speaker 1: the other night for on Halloween or maybe it was Halloween, 724 00:44:27,640 --> 00:44:32,600 Speaker 1: Eve watched the quite terrible Stephen King film adaptation um 725 00:44:32,760 --> 00:44:37,360 Speaker 1: he actually directed himself, called Maximum Overdrive. That rediant piece 726 00:44:37,360 --> 00:44:40,880 Speaker 1: of art. It's it's something, but it's about, you know, 727 00:44:40,960 --> 00:44:47,320 Speaker 1: this alien intelligence that inhabits uh machines on Earth. And 728 00:44:47,800 --> 00:44:51,239 Speaker 1: the very first scene is Stephen King in his like 729 00:44:51,320 --> 00:44:55,279 Speaker 1: you know, um obligatory cameo um trying to get some 730 00:44:55,320 --> 00:44:57,560 Speaker 1: money out of an A t M machine and the 731 00:44:58,320 --> 00:45:01,600 Speaker 1: little you know, head kind of scroll on the bank 732 00:45:02,040 --> 00:45:06,840 Speaker 1: says do you um? And then the uh the A 733 00:45:07,000 --> 00:45:10,200 Speaker 1: T M machine screen says you are an atoll. And 734 00:45:10,239 --> 00:45:12,160 Speaker 1: then the first line before the title of the movie 735 00:45:12,239 --> 00:45:15,839 Speaker 1: comes up as Stephen King goes, Marcia, this machine has 736 00:45:15,960 --> 00:45:20,080 Speaker 1: called me an a UM. So, you know, machines don't 737 00:45:20,120 --> 00:45:23,279 Speaker 1: probably have the best opinion of humans either, but UM, 738 00:45:23,440 --> 00:45:26,600 Speaker 1: I have a feeling if we could interpret the cause 739 00:45:26,600 --> 00:45:29,000 Speaker 1: of these whales that it would probably there would be 740 00:45:29,080 --> 00:45:33,040 Speaker 1: some knowledge of the horrors that we have wrought on 741 00:45:33,080 --> 00:45:37,759 Speaker 1: the oceans and their fellow you know, cetaceans, Well they have, 742 00:45:37,960 --> 00:45:40,719 Speaker 1: I mean they have. They are mammals, so they have 743 00:45:40,880 --> 00:45:45,080 Speaker 1: a lot of the components needed cognitively for language, their 744 00:45:45,120 --> 00:45:51,000 Speaker 1: matriarchal societies. They also their communications. Dude, they have dialects 745 00:45:51,640 --> 00:45:56,000 Speaker 1: with spur. Whales have regional dialects, and they're not always 746 00:45:56,440 --> 00:46:00,640 Speaker 1: mutually intelligible um or people. You know, Whales don't respond 747 00:46:00,680 --> 00:46:04,680 Speaker 1: the same to dissimilar dialects, the same way that you 748 00:46:04,760 --> 00:46:08,560 Speaker 1: might not understand, uh, someone who has a very strong 749 00:46:08,800 --> 00:46:12,440 Speaker 1: regional English accent of some sort or another, you know. 750 00:46:12,719 --> 00:46:15,000 Speaker 1: I mean, we live in the States, and you can 751 00:46:15,080 --> 00:46:16,719 Speaker 1: drive to a different state and have a hard time 752 00:46:16,800 --> 00:46:20,200 Speaker 1: understanding people. So there's no reason that whales would be 753 00:46:20,320 --> 00:46:25,239 Speaker 1: any different. I'm excited, but I don't know where it's 754 00:46:25,280 --> 00:46:28,920 Speaker 1: going to go. I wonder, and this is something I 755 00:46:28,920 --> 00:46:31,160 Speaker 1: want to leave with the rest of us listening along 756 00:46:31,200 --> 00:46:33,960 Speaker 1: at home. I wonder what what they would say. I 757 00:46:33,960 --> 00:46:36,719 Speaker 1: wonder how aware they would be, and I wonder what 758 00:46:36,880 --> 00:46:41,120 Speaker 1: they would want humans to know. I mean, they're there 759 00:46:41,880 --> 00:46:45,920 Speaker 1: familiar with boats. They can be incredibly long lived. They 760 00:46:46,360 --> 00:46:49,120 Speaker 1: are aware that there's something on the other side of 761 00:46:49,160 --> 00:46:54,279 Speaker 1: the water, They definitely are they probably maybe they just 762 00:46:54,320 --> 00:46:58,600 Speaker 1: don't know about continents, you know what I mean. Maybe 763 00:46:58,640 --> 00:47:03,520 Speaker 1: maybe they're entire communication is a shared oral history. Maybe 764 00:47:03,560 --> 00:47:07,960 Speaker 1: they are telling the story of themselves to the dwindling 765 00:47:08,040 --> 00:47:10,800 Speaker 1: number of sperm whales that remain. And if they have 766 00:47:10,840 --> 00:47:12,680 Speaker 1: a language, does that mean they could be up for 767 00:47:12,760 --> 00:47:16,680 Speaker 1: legal personhood. Check out our episode on legal personhood and 768 00:47:17,400 --> 00:47:20,799 Speaker 1: let us know. Also this is random, but just at 769 00:47:20,800 --> 00:47:23,719 Speaker 1: the very end, if you could choose one animal, one 770 00:47:23,800 --> 00:47:32,200 Speaker 1: kind of animal to talk intelligibly, what would it be? Parrot? Oh? Um, 771 00:47:32,320 --> 00:47:34,600 Speaker 1: I don't know. I think, I think, I don't know. 772 00:47:34,680 --> 00:47:38,279 Speaker 1: The sea creatures are very ancient and very wise, you 773 00:47:38,280 --> 00:47:41,160 Speaker 1: know what I mean, like crocodiles or you know, like 774 00:47:41,200 --> 00:47:44,480 Speaker 1: creatures that live for a very very long time. I 775 00:47:44,520 --> 00:47:49,480 Speaker 1: think that would be interesting. Yeah, wow, yeah, something deep deep, 776 00:47:49,520 --> 00:47:54,800 Speaker 1: deep sea. I'd be interested in finding out angler fish 777 00:47:55,040 --> 00:47:59,919 Speaker 1: at the lamp on their heads if we like we've 778 00:48:00,040 --> 00:48:04,640 Speaker 1: finally after years of studying what was recorded in the 779 00:48:04,719 --> 00:48:10,799 Speaker 1: year that everything uttered by sperm whales, and we find 780 00:48:10,800 --> 00:48:14,360 Speaker 1: out that they're just humming the weekend or do a 781 00:48:14,440 --> 00:48:18,200 Speaker 1: lipa or something, and they've they've just become overwhelmed with 782 00:48:18,200 --> 00:48:22,680 Speaker 1: our pop music scene. Right, it's a different culture war. 783 00:48:22,760 --> 00:48:25,080 Speaker 1: You know what if they're stuck in the nineties and 784 00:48:25,120 --> 00:48:30,359 Speaker 1: they love Jinko's and math rock, um, and they think 785 00:48:30,400 --> 00:48:34,120 Speaker 1: everything is sick and they say, hella a lot, that 786 00:48:34,120 --> 00:48:35,840 Speaker 1: would be that would be interesting. I would love to 787 00:48:35,840 --> 00:48:40,520 Speaker 1: hear from an octopus. Um. I also discovered that, you know, 788 00:48:40,600 --> 00:48:43,319 Speaker 1: the problem with an octopus, which is probably the most 789 00:48:43,360 --> 00:48:46,960 Speaker 1: alien form of intelligent life we know about on this 790 00:48:47,080 --> 00:48:50,359 Speaker 1: on this planet so far. Problem with is that they 791 00:48:50,400 --> 00:48:54,279 Speaker 1: have such short lifespans because their reproductive process is so 792 00:48:54,360 --> 00:48:58,760 Speaker 1: inherently inextricably tied to their demise. But there is a 793 00:48:58,840 --> 00:49:02,759 Speaker 1: brain surgery you can conduct on a female octopus that 794 00:49:02,840 --> 00:49:05,880 Speaker 1: will allow it to live longer. To be very interested 795 00:49:06,200 --> 00:49:08,680 Speaker 1: to hear what they have to say. Uh. I know 796 00:49:08,880 --> 00:49:11,080 Speaker 1: a lot of our fellow conspiracy realists are going to 797 00:49:11,200 --> 00:49:13,920 Speaker 1: kill us if we don't mention this. It is quite 798 00:49:13,920 --> 00:49:17,399 Speaker 1: possible that when we do speak dissertations, they say, so 799 00:49:17,440 --> 00:49:21,359 Speaker 1: long and thanks for all the fish by tigers got there, 800 00:49:21,680 --> 00:49:23,799 Speaker 1: We got there, sperm whales, by the way, I have 801 00:49:23,800 --> 00:49:29,239 Speaker 1: a lifespan of seventy years um, whereas I believe, I mean, 802 00:49:29,600 --> 00:49:31,800 Speaker 1: I know there they've been around for a long time, 803 00:49:32,360 --> 00:49:37,279 Speaker 1: but crocodiles have a much longer lifespan. I think they're 804 00:49:37,360 --> 00:49:42,640 Speaker 1: like one of the longest living creatures you know on 805 00:49:42,680 --> 00:49:45,760 Speaker 1: the planet, if I'm not mistaken. And the longest living 806 00:49:46,280 --> 00:49:49,359 Speaker 1: marine mammal is also a whale. It's not a sperm whale, 807 00:49:49,360 --> 00:49:52,799 Speaker 1: though it's called the bowhead whale. We can't wait to 808 00:49:52,800 --> 00:49:55,160 Speaker 1: hear what you think, folks. Which animal would you want 809 00:49:55,480 --> 00:49:58,480 Speaker 1: to speak with? What is there any audible you definitely 810 00:49:58,480 --> 00:50:01,040 Speaker 1: want to avoid speaking with? What do you think is 811 00:50:01,120 --> 00:50:04,600 Speaker 1: the future? These real estate crimes and these low wolf attacks? 812 00:50:04,880 --> 00:50:07,520 Speaker 1: Let us know. We try to be easy to find online. 813 00:50:07,719 --> 00:50:09,480 Speaker 1: You can find us on the Internet and the usual 814 00:50:09,760 --> 00:50:13,120 Speaker 1: social media places of note. We are on Facebook, we 815 00:50:13,160 --> 00:50:15,480 Speaker 1: are on Twitter. We are on YouTube at the handle 816 00:50:15,520 --> 00:50:17,359 Speaker 1: conspiracy Stuff. You can also find us with the handle 817 00:50:17,400 --> 00:50:21,520 Speaker 1: conspiracy Stuff show on Instagram. UM. 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