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 --> 00:00:09,119 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 00:00:12,240 --> 00:00:25,079 Speaker 1: production of I Heart Radio. Hello, and welcome back to 5 00:00:25,120 --> 00:00:28,520 Speaker 1: the show. My name is Noel. Like Padre, Matt is 6 00:00:28,680 --> 00:00:33,040 Speaker 1: on adventures but will be returning soon. They call me Ben. 7 00:00:33,200 --> 00:00:36,120 Speaker 1: We are joined as always with our super producer Paul 8 00:00:36,240 --> 00:00:40,960 Speaker 1: Mission controlled deconds. Most importantly, you are you, You are here, 9 00:00:41,120 --> 00:00:44,559 Speaker 1: and that makes this stuff they don't want you to know. 10 00:00:45,040 --> 00:00:49,120 Speaker 1: It's our listener, male segments. We try to do this 11 00:00:49,320 --> 00:00:54,480 Speaker 1: every week and we have weekend. Have the beautiful problem 12 00:00:54,560 --> 00:00:57,680 Speaker 1: of having too much stuff to choose from, but keep 13 00:00:57,720 --> 00:01:00,400 Speaker 1: it coming. This is what corporate a mayor could calls 14 00:01:00,440 --> 00:01:03,520 Speaker 1: a great problem to have, and we can't wait to 15 00:01:03,800 --> 00:01:08,520 Speaker 1: share some of these stories with you. Um. You know 16 00:01:08,680 --> 00:01:14,560 Speaker 1: know what's amazing is every week we receive things that 17 00:01:14,760 --> 00:01:18,880 Speaker 1: run the gamut of human experience. You know, people who 18 00:01:18,880 --> 00:01:24,440 Speaker 1: are sharing wonderful milestones in their personal lives, people who 19 00:01:24,440 --> 00:01:29,800 Speaker 1: are experiencing some of the most harrowing aspects of human existence. Uh, 20 00:01:30,000 --> 00:01:33,920 Speaker 1: people who have some pretty great jokes, and then people 21 00:01:33,959 --> 00:01:38,319 Speaker 1: who have some very personal uh, insightful stories because you 22 00:01:38,360 --> 00:01:41,920 Speaker 1: know this, this show is not about us, and it's 23 00:01:41,920 --> 00:01:45,759 Speaker 1: not for us. It's for you, specifically you, if you're listening. 24 00:01:46,160 --> 00:01:49,320 Speaker 1: And this listener mail segment is where we put our 25 00:01:49,360 --> 00:01:51,880 Speaker 1: money where Mike's are there we go. We finally got 26 00:01:51,920 --> 00:01:54,200 Speaker 1: a good turn of phrase for that. It's it's not 27 00:01:54,320 --> 00:01:56,920 Speaker 1: quite as good as Joscelang the Apostles, but it's it's 28 00:01:56,920 --> 00:02:00,080 Speaker 1: getting there. You need you need to trade more a 29 00:02:00,120 --> 00:02:01,880 Speaker 1: lot of these things, Ben, people are gonna snatch him 30 00:02:01,960 --> 00:02:04,240 Speaker 1: right out from under you, um on the internet, because 31 00:02:04,240 --> 00:02:08,120 Speaker 1: that's what people on the internet do. Just oh oh, 32 00:02:08,200 --> 00:02:11,480 Speaker 1: no question. Well that's okay, that's just imitation being the 33 00:02:11,520 --> 00:02:14,400 Speaker 1: sincerest form of flattery, right. No one's trying to actually 34 00:02:14,440 --> 00:02:19,960 Speaker 1: get paid, but the internet insidious? Um, Ben, what do 35 00:02:20,000 --> 00:02:22,840 Speaker 1: you say we go with yours first today, since it's 36 00:02:22,880 --> 00:02:26,840 Speaker 1: a response to a recent um discussion we had on 37 00:02:26,880 --> 00:02:31,400 Speaker 1: the show on another episode. Yeah, absolutely, and thank you 38 00:02:31,440 --> 00:02:35,600 Speaker 1: know this. This is a one of the many responses 39 00:02:35,600 --> 00:02:39,640 Speaker 1: we got to our earlier episode about supremacist groups infiltrating 40 00:02:40,160 --> 00:02:44,320 Speaker 1: the US military. And this is this is a bit 41 00:02:44,400 --> 00:02:49,960 Speaker 1: of a longer email and our quote unquote caller, our 42 00:02:50,000 --> 00:02:54,119 Speaker 1: author wishes to remain anonymous, but I picked this one 43 00:02:54,400 --> 00:02:59,440 Speaker 1: because it gives us an angle we hadn't heard before. 44 00:02:59,639 --> 00:03:02,640 Speaker 1: So here we go, and I'll just indicate when I'm 45 00:03:02,720 --> 00:03:06,960 Speaker 1: paraphrasing or skipping something. Hello, I have been listening to 46 00:03:07,000 --> 00:03:10,360 Speaker 1: the podcast for about eight months, and just for the 47 00:03:10,400 --> 00:03:12,960 Speaker 1: sake of having some term to use to refer to 48 00:03:13,000 --> 00:03:15,799 Speaker 1: this person, let's call them the unknown soldier. If you're 49 00:03:15,800 --> 00:03:19,280 Speaker 1: okay with that. Uh, here we go. Hello, I've been 50 00:03:19,320 --> 00:03:21,640 Speaker 1: listening to the podcast for about eight months, and I 51 00:03:21,680 --> 00:03:24,480 Speaker 1: really enjoy it. I felt compelled to write in after 52 00:03:24,520 --> 00:03:27,840 Speaker 1: your invitation for veterans to comment following the episode on 53 00:03:27,880 --> 00:03:31,120 Speaker 1: white supremacists in the military. I would like to briefly 54 00:03:31,160 --> 00:03:33,560 Speaker 1: tell my story as an example of what can happen 55 00:03:33,680 --> 00:03:38,320 Speaker 1: when law enforcement actions targeting veterans become over zealous and 56 00:03:38,400 --> 00:03:43,320 Speaker 1: demonize a veterans knowledge, skills, and abilities, rather than looking 57 00:03:43,360 --> 00:03:49,240 Speaker 1: for legitimate signs of extremism or an intent to commit violence. Uh. 58 00:03:49,240 --> 00:03:53,360 Speaker 1: And then UH, this unknown Soldier gives us a bit 59 00:03:53,600 --> 00:03:57,640 Speaker 1: of their background. In the interests of anonymity, we won't 60 00:03:57,640 --> 00:04:01,200 Speaker 1: go too far into it. UH us to say that 61 00:04:01,680 --> 00:04:05,440 Speaker 1: this person always knew they wanted to join the Armed Forces. 62 00:04:05,800 --> 00:04:09,360 Speaker 1: They joined the Army at age twenty and they were 63 00:04:09,400 --> 00:04:15,760 Speaker 1: discharged honorably in From there, they returned to Arizona, and 64 00:04:15,840 --> 00:04:18,760 Speaker 1: we'll pick it up here. I worked as an apprentice 65 00:04:18,760 --> 00:04:22,800 Speaker 1: building custom rifles while attending college. In two thousand five, 66 00:04:22,880 --> 00:04:26,440 Speaker 1: I graduated with a degree in wildlife management and immediately 67 00:04:26,480 --> 00:04:30,240 Speaker 1: returned to federal public service, working with the Department of Interior. 68 00:04:30,880 --> 00:04:32,720 Speaker 1: I have been working in the back country of a 69 00:04:32,800 --> 00:04:36,360 Speaker 1: national park in Hawaii for several years before I volunteered 70 00:04:36,360 --> 00:04:39,599 Speaker 1: to go to Park Service part time cops school. I 71 00:04:39,640 --> 00:04:42,520 Speaker 1: was working wildlife management, but there was a noticeable lack 72 00:04:42,560 --> 00:04:44,919 Speaker 1: of law enforcement in the back country. I wanted to 73 00:04:44,960 --> 00:04:48,920 Speaker 1: help protect the resources. I compiled a quote law enforcement 74 00:04:48,920 --> 00:04:52,560 Speaker 1: appropriate resume listing all of my firearms and martial arts 75 00:04:52,560 --> 00:04:55,840 Speaker 1: training and experience, believing my skills would be seen as 76 00:04:55,880 --> 00:04:59,200 Speaker 1: something of value toward the goal of protecting natural resources. 77 00:04:59,640 --> 00:05:02,760 Speaker 1: A show time later, I left why returned to Arizona 78 00:05:02,839 --> 00:05:05,279 Speaker 1: to work for the US Fish and Wildlife Service on 79 00:05:05,480 --> 00:05:09,479 Speaker 1: Mexican wolf recovery. So far, there's all innocuous stuff and 80 00:05:09,520 --> 00:05:13,960 Speaker 1: it seems like a pretty cool gig, right, So here's uh, 81 00:05:14,120 --> 00:05:18,080 Speaker 1: here's a turn. National Park Service. Law enforcement says the 82 00:05:18,120 --> 00:05:20,680 Speaker 1: unknown soldier is it can do a patrol officer who 83 00:05:20,680 --> 00:05:23,839 Speaker 1: protects and serves the visitors and natural resources of a 84 00:05:23,920 --> 00:05:27,880 Speaker 1: natural park. As I learned, Fish and Wildlife Service agents 85 00:05:27,920 --> 00:05:30,960 Speaker 1: are more closely related to an FBI agent than a 86 00:05:30,960 --> 00:05:35,960 Speaker 1: police officer. They do undercover operations, stings, they use informants, 87 00:05:36,000 --> 00:05:39,039 Speaker 1: and so on. Unbeknownst to me, when I transferred to 88 00:05:39,040 --> 00:05:41,719 Speaker 1: Fish and Wildlife agents checked up on me with the 89 00:05:41,800 --> 00:05:45,520 Speaker 1: National Park Service and gained access to that resume. Rather 90 00:05:45,600 --> 00:05:49,679 Speaker 1: than valuing this experience, they immediately became suspicious and began 91 00:05:49,760 --> 00:05:53,839 Speaker 1: to create far flung conspiracy theories in which they believed 92 00:05:53,839 --> 00:05:58,280 Speaker 1: I was involved in New sage brush rebellion extremist groups. 93 00:05:58,520 --> 00:06:01,240 Speaker 1: Apparently they couldn't believe someone who trained in the art 94 00:06:01,279 --> 00:06:04,360 Speaker 1: of war and served in the just redacted where this 95 00:06:04,400 --> 00:06:07,599 Speaker 1: person served was now genuinely interested in working with a 96 00:06:07,600 --> 00:06:10,640 Speaker 1: bunch of tree huggers to protect wolves. The reality is 97 00:06:10,680 --> 00:06:13,800 Speaker 1: I've always been a non violent tree and bunny hugger. 98 00:06:14,040 --> 00:06:16,280 Speaker 1: It just took me a while to figure it out. 99 00:06:16,640 --> 00:06:18,680 Speaker 1: It's hard to keep a secret in the town of 100 00:06:18,680 --> 00:06:22,240 Speaker 1: eight hundred people. I eventually discovered I was under investigation 101 00:06:22,560 --> 00:06:25,200 Speaker 1: when I confronted my supervisor to try to clear things up, 102 00:06:25,360 --> 00:06:29,000 Speaker 1: law enforcement went ballistic. Maybe they really believed I was extremists. 103 00:06:29,040 --> 00:06:31,400 Speaker 1: Maybe they were just embarrassed I haven't been caught, but 104 00:06:31,440 --> 00:06:33,479 Speaker 1: they were not going to simply admit they were wrong 105 00:06:33,560 --> 00:06:36,960 Speaker 1: and let me stay at their job. And then the 106 00:06:37,040 --> 00:06:41,200 Speaker 1: unknown soldier goes on to talk about intense surveillance growing 107 00:06:41,240 --> 00:06:44,800 Speaker 1: to overt harassment. They've done nothing wrong, and so they 108 00:06:44,839 --> 00:06:48,839 Speaker 1: tried to stick it out through this, uh, this campaign 109 00:06:48,839 --> 00:06:54,800 Speaker 1: of harassment until an undercover agent stole their dog, and 110 00:06:54,880 --> 00:06:57,280 Speaker 1: so they went to beat that person up John Wick 111 00:06:57,360 --> 00:07:00,640 Speaker 1: style for stealing their dog. That's me editorial lesson here. 112 00:07:00,880 --> 00:07:04,000 Speaker 1: And they were arrested for disorderly conduct and then they 113 00:07:04,040 --> 00:07:08,680 Speaker 1: had to resign after eleven years of federal service. And 114 00:07:08,720 --> 00:07:11,040 Speaker 1: this this goes on and say, like, you know, a 115 00:07:11,080 --> 00:07:13,920 Speaker 1: lot of these things that we're seeing, large scale efforts 116 00:07:13,960 --> 00:07:17,480 Speaker 1: like the d j's Operation Vigilant Eagle. Uh, this person 117 00:07:17,600 --> 00:07:22,080 Speaker 1: argues have only demonized and isolated veterans while wasting millions 118 00:07:22,080 --> 00:07:25,520 Speaker 1: of dollars to make law enforcement appear like they're doing 119 00:07:25,600 --> 00:07:29,280 Speaker 1: something we've heard before. The veterans get lost, locked out 120 00:07:29,320 --> 00:07:33,800 Speaker 1: in the cold, but think about this, UH unknown soldier says, 121 00:07:34,160 --> 00:07:38,040 Speaker 1: we lose an average of twenty veterans to suicide every 122 00:07:38,080 --> 00:07:42,200 Speaker 1: single day. Appreciate the show. I understand why I wanted 123 00:07:42,200 --> 00:07:44,600 Speaker 1: to discuss this because you invite a veterans comment. I 124 00:07:44,600 --> 00:07:47,760 Speaker 1: wanted to convey my firsthand experience with the problems associated 125 00:07:47,800 --> 00:07:51,000 Speaker 1: with cracking down on veterans that the government thinks to 126 00:07:51,080 --> 00:07:53,640 Speaker 1: be could be dangerous. In my case, I wasn't politically 127 00:07:53,640 --> 00:07:57,800 Speaker 1: active or on social media making angry comments. Law enforcements 128 00:07:57,800 --> 00:08:00,240 Speaker 1: still got things wrong. They ended up destroying my rear. 129 00:08:00,560 --> 00:08:05,520 Speaker 1: It makes me regret having ever served my country. Thank you, 130 00:08:05,800 --> 00:08:08,160 Speaker 1: UH anonymous. What do you what do you think they're 131 00:08:08,200 --> 00:08:14,640 Speaker 1: What are your initial reactions? My initial reactions are, it's 132 00:08:14,720 --> 00:08:16,480 Speaker 1: it's it's a it's a shame. It's it's the same 133 00:08:16,520 --> 00:08:21,880 Speaker 1: as any situation where a few bad apples spoil the bunch. 134 00:08:22,000 --> 00:08:27,120 Speaker 1: I mean, people don't join military service typically, you know, 135 00:08:27,360 --> 00:08:32,840 Speaker 1: to do harm to people of other faiths or other religions. 136 00:08:32,880 --> 00:08:35,200 Speaker 1: They typically do it out of a sense of duty 137 00:08:35,320 --> 00:08:37,760 Speaker 1: to their country or out of a sense of perhaps 138 00:08:37,800 --> 00:08:41,720 Speaker 1: necessity for the the rewards that it can give you 139 00:08:41,720 --> 00:08:44,719 Speaker 1: in terms of scholarships and be able to perhaps you 140 00:08:44,760 --> 00:08:47,319 Speaker 1: didn't grow up with as many privileges as a lot 141 00:08:47,320 --> 00:08:50,000 Speaker 1: of folks are lucky enough to have, and then to 142 00:08:50,120 --> 00:08:55,240 Speaker 1: be targeted in that way because of some people that 143 00:08:55,320 --> 00:08:58,320 Speaker 1: have thrown in their lot with kind of a more 144 00:08:58,600 --> 00:09:02,320 Speaker 1: of a racist outlook. Uh. And unfortunately, because of the 145 00:09:02,360 --> 00:09:05,840 Speaker 1: reputation that some of as we discussed in the episode, 146 00:09:05,960 --> 00:09:11,280 Speaker 1: high Command has for perhaps um sharing that attitude. Um, 147 00:09:11,360 --> 00:09:15,200 Speaker 1: it's it's unfortunate. I don't know, maybe I'm being naive, 148 00:09:15,360 --> 00:09:18,840 Speaker 1: but that's how it feels to me, I see it. 149 00:09:18,960 --> 00:09:22,240 Speaker 1: I think that's a really good point now, because one 150 00:09:22,280 --> 00:09:26,040 Speaker 1: thing that really stood out about this, uh, about this 151 00:09:26,120 --> 00:09:30,040 Speaker 1: communication is that we in the U S and maybe 152 00:09:30,080 --> 00:09:31,840 Speaker 1: in your country as well if you're not in the US, 153 00:09:31,960 --> 00:09:36,600 Speaker 1: we always hear about the great injustices done to veterans 154 00:09:37,160 --> 00:09:42,880 Speaker 1: after they complete military service. Right, like the the Veterans Affairs. 155 00:09:42,920 --> 00:09:46,680 Speaker 1: The v A is in terrible, terrible shape and has 156 00:09:46,720 --> 00:09:48,880 Speaker 1: been for years. And that's not that's not even a 157 00:09:49,000 --> 00:09:51,200 Speaker 1: ding on the people who are working in the v A. 158 00:09:51,320 --> 00:09:54,920 Speaker 1: In some ways, it's been kind of crippled by legislation. Right, 159 00:09:55,000 --> 00:09:59,600 Speaker 1: that's that's very um limiting to these folks. And then 160 00:10:00,040 --> 00:10:05,479 Speaker 1: we also see a lack of a lack of maybe counseling, 161 00:10:06,120 --> 00:10:10,319 Speaker 1: a lack of assistance, with a lack of real assistance, 162 00:10:10,360 --> 00:10:15,160 Speaker 1: I would say with job programs, with giving people that 163 00:10:15,240 --> 00:10:20,280 Speaker 1: kind of second act post military. But we don't see 164 00:10:20,320 --> 00:10:24,679 Speaker 1: a lot of conversations about veterans being discriminated against, at 165 00:10:24,760 --> 00:10:29,439 Speaker 1: least in uh the in like the mainstream, right. No, 166 00:10:29,800 --> 00:10:33,560 Speaker 1: the trope is like there have been you know, depictions 167 00:10:33,600 --> 00:10:35,760 Speaker 1: in literature and cinema, and of course we've seen it 168 00:10:35,800 --> 00:10:39,680 Speaker 1: firsthand where folks that are perhaps have experienced trauma in 169 00:10:40,000 --> 00:10:42,920 Speaker 1: the service come out and they're not equipped to go 170 00:10:43,000 --> 00:10:46,520 Speaker 1: back into daily routines and and they have they have 171 00:10:46,559 --> 00:10:49,960 Speaker 1: a hard time finding employment because they're triggered by things 172 00:10:49,960 --> 00:10:53,800 Speaker 1: and they they you know, have experienced things and traumatic 173 00:10:53,960 --> 00:10:56,880 Speaker 1: events that have led them to not function the same 174 00:10:56,880 --> 00:10:59,679 Speaker 1: way that they once did. And there's obviously shades of that. 175 00:11:00,080 --> 00:11:03,720 Speaker 1: But this added layer of the idea of across the 176 00:11:03,800 --> 00:11:08,160 Speaker 1: board discrimination based on the actions of you know, just 177 00:11:08,320 --> 00:11:11,520 Speaker 1: some I think is is heartbreaking because it's true, it 178 00:11:11,600 --> 00:11:14,320 Speaker 1: is it is difficult, and so many people do join 179 00:11:14,400 --> 00:11:17,760 Speaker 1: the military just to do good work and to you know, 180 00:11:17,840 --> 00:11:19,959 Speaker 1: be part of the solution and not you know, create 181 00:11:19,960 --> 00:11:22,920 Speaker 1: more problems. But it's really tough. It's it's it's it's hard. 182 00:11:23,040 --> 00:11:25,240 Speaker 1: It's hard to fully wrap your head around this. Uh, 183 00:11:25,440 --> 00:11:29,880 Speaker 1: this problem. You know, I am wondering about this too, 184 00:11:29,960 --> 00:11:33,880 Speaker 1: because uh, I'd like to hear from other people who 185 00:11:33,960 --> 00:11:39,520 Speaker 1: may have had a similar experience. Um, we know that 186 00:11:41,000 --> 00:11:43,560 Speaker 1: we there's a word that's stuck out that you used, 187 00:11:44,040 --> 00:11:49,040 Speaker 1: ann soldier, which was over zealous. Right, over zealous, meaning 188 00:11:49,200 --> 00:11:55,360 Speaker 1: that maybe with noble or or genuine intentions, people still 189 00:11:55,400 --> 00:11:59,040 Speaker 1: go overboard and as a result end up doing more 190 00:11:59,080 --> 00:12:04,000 Speaker 1: harm than good. Uh, like the oh that case we've 191 00:12:04,080 --> 00:12:09,680 Speaker 1: referenced before where an FBI sting operation went wrong because 192 00:12:09,720 --> 00:12:14,520 Speaker 1: someone joined a mosque and they were so desperate to 193 00:12:14,520 --> 00:12:20,280 Speaker 1: get a successful sting operation that they tried to radicalize 194 00:12:20,320 --> 00:12:23,000 Speaker 1: members of the mosque and they scared the people at 195 00:12:23,000 --> 00:12:25,360 Speaker 1: the mosque and the people of the mosque called the 196 00:12:25,440 --> 00:12:28,719 Speaker 1: FBI and said, this person is crazy. We think they're 197 00:12:28,720 --> 00:12:32,280 Speaker 1: gonna blow something up. Here's their name, help us please, 198 00:12:32,760 --> 00:12:36,600 Speaker 1: And then the FBI found out it was an FBI agent. Uh. 199 00:12:36,679 --> 00:12:43,199 Speaker 1: This this kind of this misapplication right of again millions 200 00:12:43,200 --> 00:12:46,959 Speaker 1: of dollars here. It's dangerous because it's a balancing act 201 00:12:46,960 --> 00:12:51,040 Speaker 1: to like, is it a result of people being fearful 202 00:12:52,160 --> 00:12:56,040 Speaker 1: about this kind of quote unquote infiltration. I would be 203 00:12:56,080 --> 00:13:01,239 Speaker 1: interested to hear whether something else happened in the context 204 00:13:01,960 --> 00:13:05,920 Speaker 1: of this, like like this stage brush rebellion stuff, what 205 00:13:06,080 --> 00:13:10,760 Speaker 1: exactly is going on there? This was, by the way, 206 00:13:11,320 --> 00:13:13,600 Speaker 1: maybe they were burned from this the l e O 207 00:13:13,760 --> 00:13:18,360 Speaker 1: s the law enforcement officers because stage brush rebellion, which 208 00:13:18,440 --> 00:13:20,760 Speaker 1: some folks may not have heard of in the audience day, 209 00:13:20,960 --> 00:13:24,520 Speaker 1: happened in the nineteen seventies and nineteen eighties. It was 210 00:13:24,559 --> 00:13:30,120 Speaker 1: a movement in the US that wanted to change, uh 211 00:13:30,480 --> 00:13:35,400 Speaker 1: make fundamental changes to federal land control and use policies 212 00:13:35,559 --> 00:13:40,840 Speaker 1: in thirteen different states where the federal government had owned 213 00:13:40,920 --> 00:13:46,520 Speaker 1: between twenty to of the state's area, which is a lot. 214 00:13:46,679 --> 00:13:50,640 Speaker 1: That's a lot for government to own. So what what 215 00:13:50,640 --> 00:13:53,760 Speaker 1: what I think is interesting about this is that our 216 00:13:54,080 --> 00:13:57,760 Speaker 1: anonymous author here is saying that with the best of 217 00:13:57,840 --> 00:14:03,120 Speaker 1: intentions and doing every anything right until they until they 218 00:14:03,120 --> 00:14:08,360 Speaker 1: took this person's dog. They're saying that Fish and Wildlife, 219 00:14:08,960 --> 00:14:12,959 Speaker 1: with the help of the National Park Service, thought that 220 00:14:13,320 --> 00:14:18,280 Speaker 1: this person was infiltrating their organization for some reason. So 221 00:14:18,320 --> 00:14:22,640 Speaker 1: they're saying they were discriminated against because of their past 222 00:14:23,320 --> 00:14:26,400 Speaker 1: military experience. And there are a lot of there are 223 00:14:26,440 --> 00:14:30,120 Speaker 1: a lot of laws against this, against this kind of discrimination. 224 00:14:30,720 --> 00:14:37,000 Speaker 1: But again, sometimes these discrimination laws are very difficult to enforce, 225 00:14:37,280 --> 00:14:40,200 Speaker 1: you know, when the rubber hits the road. So I 226 00:14:40,520 --> 00:14:43,960 Speaker 1: think it's a powerful it's a powerful note here because 227 00:14:44,440 --> 00:14:47,840 Speaker 1: that kind of uh, you know, we haven't verified all 228 00:14:47,880 --> 00:14:50,160 Speaker 1: the facts of this story, but if this is true, 229 00:14:50,200 --> 00:14:53,440 Speaker 1: that kind of discrimination is what drives people further and 230 00:14:53,560 --> 00:14:58,120 Speaker 1: further away from integration into society at a post military level. 231 00:14:58,200 --> 00:15:00,680 Speaker 1: You know, yeah, I get it now, Ben. I apologize 232 00:15:00,680 --> 00:15:02,840 Speaker 1: if I was overstating the case a little bit in 233 00:15:02,880 --> 00:15:05,560 Speaker 1: my my responses. I think, I I this is a 234 00:15:05,560 --> 00:15:09,440 Speaker 1: little bit more of a specific type of discrimination. Um. 235 00:15:09,560 --> 00:15:12,520 Speaker 1: But it does make me think though, in some ways 236 00:15:12,600 --> 00:15:15,720 Speaker 1: that there is the potential in the same way that 237 00:15:15,960 --> 00:15:19,680 Speaker 1: you know, folks are doing this whole a cab thing 238 00:15:19,760 --> 00:15:22,240 Speaker 1: when it comes to police and the idea that anyone 239 00:15:22,280 --> 00:15:24,880 Speaker 1: that wants to become a law enforcement official is in 240 00:15:24,960 --> 00:15:28,200 Speaker 1: some way has some agenda to you know, discriminate, or 241 00:15:28,200 --> 00:15:30,400 Speaker 1: to be racist, or to be violent in some way. 242 00:15:30,440 --> 00:15:33,240 Speaker 1: I think, uh, it's important that people realize that's not 243 00:15:33,280 --> 00:15:36,000 Speaker 1: inherently the case, just in the same way that people. 244 00:15:36,240 --> 00:15:39,400 Speaker 1: You know, there are good police officers and they're obviously 245 00:15:39,440 --> 00:15:43,560 Speaker 1: really bad ones um and there are amazing heroic human 246 00:15:43,600 --> 00:15:46,520 Speaker 1: beings that give their lives, you know, for this country, 247 00:15:46,760 --> 00:15:49,600 Speaker 1: and then there are folks that they're not that way 248 00:15:49,640 --> 00:15:53,080 Speaker 1: as well. It's true of any organization or click or club. 249 00:15:53,360 --> 00:15:55,920 Speaker 1: And you know, as we said before, the thing about 250 00:15:55,960 --> 00:16:00,360 Speaker 1: a lot of these um militias that we we see 251 00:16:00,480 --> 00:16:04,680 Speaker 1: mentioned in the news here in the US is that 252 00:16:05,280 --> 00:16:08,720 Speaker 1: not a ton of them are actual veterans. Right those 253 00:16:09,000 --> 00:16:16,080 Speaker 1: four For say, an extremist uh supremacist militia, you would 254 00:16:16,200 --> 00:16:20,560 Speaker 1: want veterans because of that training. But most of those 255 00:16:20,560 --> 00:16:24,720 Speaker 1: folks are not going to be actual veterans themselves in 256 00:16:25,040 --> 00:16:29,960 Speaker 1: a very real way. There. They're wannabes or I learned 257 00:16:30,000 --> 00:16:32,200 Speaker 1: I learned a word here that I thought everyone would 258 00:16:32,280 --> 00:16:37,120 Speaker 1: enjoy caused platriots. Oh my gosh, brutal Huh. I didn't 259 00:16:37,120 --> 00:16:40,480 Speaker 1: write that. Uh. It's scary though, because they're they're there, 260 00:16:40,480 --> 00:16:44,440 Speaker 1: you know. And perhaps it is the fear of this 261 00:16:44,560 --> 00:16:49,880 Speaker 1: sort of stuff that leads members of some government agencies 262 00:16:50,080 --> 00:16:56,280 Speaker 1: to discriminate against completely innocent veterans. You know what I mean? Well, Ben, 263 00:16:56,280 --> 00:16:57,680 Speaker 1: what do you say we take a quick break and 264 00:16:57,720 --> 00:17:08,240 Speaker 1: then come back with another listener message and we're back 265 00:17:08,400 --> 00:17:14,720 Speaker 1: for something completely different. This would I like this, This 266 00:17:14,800 --> 00:17:18,840 Speaker 1: is ah, this is juicy. It's juicy. It's a little 267 00:17:18,840 --> 00:17:21,080 Speaker 1: bit of a mystery, and it gives me the opportunity 268 00:17:21,119 --> 00:17:25,080 Speaker 1: to explore some terms around the world that I'm uh 269 00:17:25,119 --> 00:17:28,840 Speaker 1: still only vaguely familiar with because it's just not something 270 00:17:28,840 --> 00:17:31,679 Speaker 1: that I participated in. But bitcoin, we've talked about it, 271 00:17:31,720 --> 00:17:34,440 Speaker 1: you know what it is. Um, you might have bought 272 00:17:34,480 --> 00:17:36,840 Speaker 1: some on the cheap and now are you know, worth 273 00:17:36,880 --> 00:17:39,680 Speaker 1: the mint? Or you might have done like super producer 274 00:17:39,760 --> 00:17:43,199 Speaker 1: Casey Pegraham on Ridiculous History and sold it before it 275 00:17:43,480 --> 00:17:47,080 Speaker 1: had reached full fruition. So I think that's then the case. 276 00:17:47,119 --> 00:17:48,640 Speaker 1: He is one of his big regrets, and he talks 277 00:17:48,640 --> 00:17:50,639 Speaker 1: about it openly, so I'm not throwing him under the 278 00:17:50,640 --> 00:17:55,240 Speaker 1: bus here, but yeah, it's absolutely true. Yeah, Casey and 279 00:17:55,240 --> 00:17:59,159 Speaker 1: I were, uh, we're super close to getting some of 280 00:17:59,200 --> 00:18:02,800 Speaker 1: this and even uh pulling the trigger on selling it, 281 00:18:02,880 --> 00:18:05,359 Speaker 1: but just got got into early. You know. We still 282 00:18:05,520 --> 00:18:08,400 Speaker 1: he and I are still not as not as bad 283 00:18:08,440 --> 00:18:10,400 Speaker 1: off as that one guy who paid for a pizza 284 00:18:10,400 --> 00:18:13,800 Speaker 1: and bitcoin and what at one point, you know, amounted 285 00:18:13,880 --> 00:18:18,040 Speaker 1: to I think the most expensive pizza in history. Absolutely 286 00:18:18,720 --> 00:18:22,639 Speaker 1: um so uh. For today's story, we're gonna talk about 287 00:18:22,680 --> 00:18:26,480 Speaker 1: what could either be a really smart move, a really 288 00:18:26,560 --> 00:18:29,960 Speaker 1: dumb move, or somebody getting absolutely ripped off. Um. The 289 00:18:30,000 --> 00:18:36,359 Speaker 1: headline from a Vice article by Lorenzo Franceski Bitchierio reads 290 00:18:36,480 --> 00:18:39,560 Speaker 1: as as so and someone just emptied out a bitcoin 291 00:18:39,640 --> 00:18:44,400 Speaker 1: wallet with nine hundred and sixty four million dollars in it. 292 00:18:44,400 --> 00:18:48,160 Speaker 1: It's almost a billion dollars in bitcoin. Um. And this 293 00:18:48,320 --> 00:18:52,160 Speaker 1: actually came from, of course, it being listener mail day, 294 00:18:52,200 --> 00:18:56,720 Speaker 1: a listener by the name of Christopher Uh and he said, 295 00:18:56,720 --> 00:18:59,640 Speaker 1: here's a story for you to check out. Also wondering 296 00:18:59,720 --> 00:19:03,720 Speaker 1: what the process is for converting bitcoin into cash. So 297 00:19:03,840 --> 00:19:07,840 Speaker 1: let's get discussing a few interesting terms. But first, my goodness, 298 00:19:08,640 --> 00:19:12,560 Speaker 1: sixty four million dollars um. It's the thing about bitcoin, 299 00:19:12,600 --> 00:19:15,640 Speaker 1: and you might be able to add a little more 300 00:19:16,040 --> 00:19:18,359 Speaker 1: meat onto the bones here, Ben, but you know, it 301 00:19:18,440 --> 00:19:22,199 Speaker 1: is an open thing that people can watch, like you 302 00:19:22,240 --> 00:19:25,359 Speaker 1: can pay attention to these like block chains and see, 303 00:19:25,720 --> 00:19:28,560 Speaker 1: you know, when the money is being moved around, when 304 00:19:28,560 --> 00:19:31,720 Speaker 1: the bitcoin is being moved around and apparently and there's 305 00:19:31,720 --> 00:19:35,680 Speaker 1: an address. The address to this particular bitcoin repository or 306 00:19:35,760 --> 00:19:40,600 Speaker 1: wallet was one h Q three g O three g 307 00:19:40,600 --> 00:19:43,439 Speaker 1: g s eight p f n x u h v 308 00:19:43,840 --> 00:19:46,600 Speaker 1: h r y t p c q five f g 309 00:19:46,760 --> 00:19:50,159 Speaker 1: g h h b at h x. And this is 310 00:19:50,200 --> 00:19:54,400 Speaker 1: a known, a known wallet, and it had been watched 311 00:19:54,880 --> 00:19:57,520 Speaker 1: pretty closely because it was a it had been dormant 312 00:19:57,560 --> 00:20:01,200 Speaker 1: for a long time. UM. And this particul picular bitcoin 313 00:20:01,400 --> 00:20:05,000 Speaker 1: wallet was emptied all of a sudden, and you know, 314 00:20:05,000 --> 00:20:06,879 Speaker 1: there's there's a lot of theories that are swimming around. 315 00:20:06,880 --> 00:20:10,000 Speaker 1: This Vice article suggests that Okay, it could have been 316 00:20:10,040 --> 00:20:12,879 Speaker 1: a heist, it could have been just whoever. The long 317 00:20:14,000 --> 00:20:17,280 Speaker 1: an active user behind this wallet, you know, was decided 318 00:20:17,320 --> 00:20:18,680 Speaker 1: there were maybe too many eyes on it and he 319 00:20:18,720 --> 00:20:22,080 Speaker 1: wanted to move it to another wallet. UM. There's actually 320 00:20:22,080 --> 00:20:25,440 Speaker 1: a link in this Vice article to another wallet. UM. 321 00:20:25,520 --> 00:20:27,439 Speaker 1: Evidence that is the fact that you can this this 322 00:20:27,520 --> 00:20:31,960 Speaker 1: blockchain situation is absolutely open to anyone that knows about 323 00:20:31,960 --> 00:20:34,439 Speaker 1: it and wants to look into it. UM. And it 324 00:20:34,560 --> 00:20:39,160 Speaker 1: had particularly been something that was discussed in the cryptocurrency 325 00:20:39,400 --> 00:20:43,080 Speaker 1: community for a long time that it was perhaps one 326 00:20:43,080 --> 00:20:47,880 Speaker 1: of the most valuable bitcoin addresses in all of existence. Um, 327 00:20:47,960 --> 00:20:51,720 Speaker 1: and there had been a report of hackers attempting to 328 00:20:51,760 --> 00:20:55,199 Speaker 1: break into it using brute force attacks to find the password. 329 00:20:55,600 --> 00:20:58,240 Speaker 1: So you know, I would say if there was already 330 00:20:58,280 --> 00:21:02,080 Speaker 1: news that this this uh wallet was being attempted to 331 00:21:02,119 --> 00:21:04,840 Speaker 1: be brute force hacked. Good a reason is any of 332 00:21:04,880 --> 00:21:07,200 Speaker 1: the owner to to swoop in and move it? U? 333 00:21:07,880 --> 00:21:10,280 Speaker 1: But you know, I guess no, no real reason to. 334 00:21:10,400 --> 00:21:12,720 Speaker 1: I don't know. What do you think, ben, No one can. 335 00:21:13,040 --> 00:21:15,520 Speaker 1: You can't really look up our bank accounts all public 336 00:21:15,560 --> 00:21:19,400 Speaker 1: domain information. I mean I don't think so, right, bank accounts, Yeah, 337 00:21:19,400 --> 00:21:23,520 Speaker 1: bank accounts like your old school Chase or Chase my 338 00:21:23,800 --> 00:21:28,280 Speaker 1: bank account. There's only a list of all bank accounts, right, 339 00:21:28,600 --> 00:21:32,880 Speaker 1: just owners probably somewhere. Um. Just to use I would 340 00:21:32,880 --> 00:21:36,800 Speaker 1: say Walkovia, just to use a extinct example since as 341 00:21:36,840 --> 00:21:39,840 Speaker 1: well as far ago. Now uh And the name is hilarious. 342 00:21:39,880 --> 00:21:44,040 Speaker 1: It sounds like a word for sneeze in a foreign language. Um. Yeah, 343 00:21:44,240 --> 00:21:49,720 Speaker 1: bitcoin is different because the idea of the coexistence of 344 00:21:49,800 --> 00:21:53,480 Speaker 1: a degree of transparency with a degree of security or 345 00:21:53,560 --> 00:22:00,560 Speaker 1: privacy or anonymity is pretty fascinating. Um. It's also it's 346 00:22:00,600 --> 00:22:05,280 Speaker 1: tremendously fertile soil for bad actors, right, Like I would 347 00:22:05,320 --> 00:22:10,280 Speaker 1: pay close attention to maybe state actors or proxies or 348 00:22:10,320 --> 00:22:14,960 Speaker 1: intelligence agencies that want to use bitcoin or that run bitcoin, 349 00:22:15,000 --> 00:22:17,240 Speaker 1: because we have to remember the guy that the guy, 350 00:22:17,400 --> 00:22:21,400 Speaker 1: I say guy, the person who apparently invented bitcoin has 351 00:22:21,480 --> 00:22:26,040 Speaker 1: still never been publicly identified, so it's sketchy. And while 352 00:22:26,080 --> 00:22:28,720 Speaker 1: you can see that the money was moved, you don't 353 00:22:28,720 --> 00:22:30,199 Speaker 1: know who, like to your point, but you don't know 354 00:22:30,200 --> 00:22:32,080 Speaker 1: who the person is. And we'll never really know the 355 00:22:32,119 --> 00:22:35,360 Speaker 1: story until that person comes out and tells the story. 356 00:22:35,840 --> 00:22:39,440 Speaker 1: Um And. In looking into this, I discovered some terms 357 00:22:39,840 --> 00:22:43,280 Speaker 1: that I hadn't really run across before. And I've I've 358 00:22:43,320 --> 00:22:45,880 Speaker 1: known enough about bitcoin to you know, know a handful 359 00:22:45,880 --> 00:22:48,200 Speaker 1: of things, like about the blockchain, about like the Mount 360 00:22:48,320 --> 00:22:51,120 Speaker 1: Cox you know, heist and all of that stuff. But 361 00:22:51,240 --> 00:22:53,439 Speaker 1: there is a term that came up the idea of 362 00:22:53,520 --> 00:22:56,639 Speaker 1: someone who would have held on to this amount of 363 00:22:56,640 --> 00:22:59,480 Speaker 1: bitcoin for long enough for it to be worth this much. 364 00:23:00,119 --> 00:23:03,000 Speaker 1: Um And And the term is called hotel ing. Are 365 00:23:03,000 --> 00:23:06,560 Speaker 1: you familiar with hotel ing, Ben, I've heard it before. 366 00:23:06,920 --> 00:23:10,360 Speaker 1: Uh you use it in a sentence for everyone? Well, Uh, 367 00:23:10,400 --> 00:23:13,520 Speaker 1: that guy did a really good job of totaling his bitcoin. 368 00:23:13,760 --> 00:23:18,760 Speaker 1: There we go, because he essentially is a term that 369 00:23:18,920 --> 00:23:23,439 Speaker 1: was coined, bitcoined. I guess kill me um. Back in 370 00:23:23,440 --> 00:23:27,199 Speaker 1: two UM, when the price of bitcoin went from like 371 00:23:27,240 --> 00:23:29,679 Speaker 1: I think, around fifteen bucks in the beginning of that 372 00:23:29,800 --> 00:23:34,040 Speaker 1: year two over bucks in just a month time, and 373 00:23:34,080 --> 00:23:37,560 Speaker 1: there was this very quick period where there was a 374 00:23:37,560 --> 00:23:42,719 Speaker 1: talk of possible like Chinese crackdown um that could have 375 00:23:43,240 --> 00:23:48,400 Speaker 1: caused a catastrophe in the in the bitcoin valuation, um, 376 00:23:48,440 --> 00:23:52,360 Speaker 1: you know world. And in that time, there was a 377 00:23:52,440 --> 00:23:56,959 Speaker 1: post on a message board UM from a user by 378 00:23:56,960 --> 00:24:01,159 Speaker 1: the name of game qub who posted im hodling And 379 00:24:01,200 --> 00:24:06,399 Speaker 1: it was clearly h kind of a drunk, typo ridden rant, 380 00:24:06,840 --> 00:24:10,040 Speaker 1: and I'm gonna read it because it's pretty fantastic. I 381 00:24:10,119 --> 00:24:14,720 Speaker 1: am holdling. I type that title twice because I knew 382 00:24:14,760 --> 00:24:18,200 Speaker 1: it was wrong the first time. Still wrong. W e 383 00:24:18,840 --> 00:24:23,720 Speaker 1: Uh Why am I holding holding? He spells it right there. Um, 384 00:24:23,760 --> 00:24:26,760 Speaker 1: I'll tell you why. It's because I am a bad trader. 385 00:24:26,800 --> 00:24:29,040 Speaker 1: And I know I'm a bad trader. Yeah, you good 386 00:24:29,040 --> 00:24:31,720 Speaker 1: traders can spot the highs and the lows pit pat 387 00:24:31,800 --> 00:24:35,280 Speaker 1: piffy wing Wong wang just like that and make a 388 00:24:35,440 --> 00:24:40,600 Speaker 1: million oh bucks. Sure, No, problem bro Um. Uh, you 389 00:24:40,680 --> 00:24:43,280 Speaker 1: only sell in a bear market if you're a good 390 00:24:43,359 --> 00:24:47,320 Speaker 1: day trader or an illusioned nube. The people in between 391 00:24:47,440 --> 00:24:49,720 Speaker 1: hold in the zero sum. He gets a little more 392 00:24:49,800 --> 00:24:52,600 Speaker 1: you know, cognizant. Here games such as the traders can 393 00:24:52,600 --> 00:24:56,000 Speaker 1: only take your money if you sell. Um. And this 394 00:24:56,359 --> 00:24:59,760 Speaker 1: was the typo that launched a thousand chips and ho 395 00:25:00,160 --> 00:25:03,280 Speaker 1: ling became the new term for like holding onto your bitcoin. 396 00:25:03,600 --> 00:25:05,320 Speaker 1: And it was like a bunch of memes surrounding it 397 00:25:05,359 --> 00:25:08,080 Speaker 1: with like movies like three hundred in Braveheart as the 398 00:25:08,119 --> 00:25:10,560 Speaker 1: back drop. And then of course hod Or from Game 399 00:25:10,600 --> 00:25:14,440 Speaker 1: of Thrones. Uh, that became a thing. And um, there's 400 00:25:14,480 --> 00:25:16,679 Speaker 1: a whole philosophy behind it as like a like a 401 00:25:16,800 --> 00:25:20,520 Speaker 1: you know, a strategic way of ensuring like to not 402 00:25:21,240 --> 00:25:23,960 Speaker 1: it could be so volatile that it's easy to get spooked, 403 00:25:24,080 --> 00:25:27,440 Speaker 1: you know and pull all your your your bitcoin out. Um. 404 00:25:27,520 --> 00:25:29,840 Speaker 1: But you know it's the same with stocks. It's not 405 00:25:29,880 --> 00:25:32,400 Speaker 1: like it's that different, but you know, you don't hold 406 00:25:32,400 --> 00:25:35,920 Speaker 1: ale stocks. So there's that. So if you ever heard 407 00:25:35,960 --> 00:25:40,920 Speaker 1: the idea that the uh that the alphabet soup actually 408 00:25:40,960 --> 00:25:46,440 Speaker 1: invented bitcoin, no, yeah, it's it's pretty interesting. So there's 409 00:25:46,840 --> 00:25:51,000 Speaker 1: we know that at least part of the protocol WASH 410 00:25:52,400 --> 00:25:55,560 Speaker 1: is derived from the n s A. There's a thing 411 00:25:55,600 --> 00:25:58,639 Speaker 1: called s h a dash to fifty six. It's a 412 00:25:58,720 --> 00:26:03,120 Speaker 1: hashing algorithm, big part of the bitcoin structure, and it 413 00:26:03,240 --> 00:26:05,720 Speaker 1: was from the n s A, first published in two 414 00:26:05,720 --> 00:26:09,440 Speaker 1: thousand one, which means we don't know when they exactly 415 00:26:09,480 --> 00:26:12,600 Speaker 1: came up with it. Uh. And then there's uh there's 416 00:26:12,640 --> 00:26:16,960 Speaker 1: the idea that the creator this is all, you know, 417 00:26:17,080 --> 00:26:21,560 Speaker 1: speculative stuff, But there's the idea that the the still 418 00:26:21,560 --> 00:26:25,920 Speaker 1: anonymous creator of it, Satoshi Nakamoto. That's the name they've used, 419 00:26:26,160 --> 00:26:29,960 Speaker 1: which anybody recalls from our earlier Bitcoin episode. There's the 420 00:26:30,000 --> 00:26:37,359 Speaker 1: idea that is that name means central intelligence if you 421 00:26:37,400 --> 00:26:42,680 Speaker 1: look at the translation, which is pretty crazy because Satoshi 422 00:26:42,720 --> 00:26:50,440 Speaker 1: means intelligent or many other things and Nakamoto means central origin. Uh. 423 00:26:50,720 --> 00:26:55,280 Speaker 1: And then also Bitcoin maybe compromised according to some wiki 424 00:26:55,359 --> 00:26:59,040 Speaker 1: leaks documents released under Vault seven, meaning that could be 425 00:26:59,080 --> 00:27:04,119 Speaker 1: a perfect trap to catch people. So so it sounds 426 00:27:04,119 --> 00:27:08,920 Speaker 1: like the argument here is that this anonymous person finally 427 00:27:09,080 --> 00:27:14,399 Speaker 1: cashed out of their bitcoin after hold lane as you said, 428 00:27:14,440 --> 00:27:16,920 Speaker 1: for quite a while, right, and they just let it grow. 429 00:27:17,240 --> 00:27:19,160 Speaker 1: Is that do you know, the initial amount they put 430 00:27:19,160 --> 00:27:22,720 Speaker 1: in that I do not believe is in here, though 431 00:27:22,720 --> 00:27:25,560 Speaker 1: I would think you could trace it um with the 432 00:27:25,640 --> 00:27:28,840 Speaker 1: with the blockchain, but I'm not quite sure how that works. Okay, 433 00:27:29,160 --> 00:27:31,440 Speaker 1: And then, uh, we know that a ton of people 434 00:27:31,560 --> 00:27:33,760 Speaker 1: try to brute force hacks with that, and a ton 435 00:27:33,800 --> 00:27:38,840 Speaker 1: of people have purported to sell access to that wallet, 436 00:27:39,359 --> 00:27:45,720 Speaker 1: but so far it's still a mystery to me. So 437 00:27:46,200 --> 00:27:49,119 Speaker 1: in any like black bag or off the books operation, 438 00:27:49,280 --> 00:27:54,080 Speaker 1: if this thing was truly secure, then intelligence agencies would 439 00:27:54,080 --> 00:27:57,120 Speaker 1: be all over it, you know what I mean, they'd 440 00:27:57,119 --> 00:28:00,439 Speaker 1: be all over like air horns on a mix tape, 441 00:28:00,560 --> 00:28:04,760 Speaker 1: you know it. Just it even looks like the n 442 00:28:04,880 --> 00:28:09,960 Speaker 1: s A has been figuring out a way to track 443 00:28:10,080 --> 00:28:17,400 Speaker 1: down and dangerously identify bitcoin users. That's person Uh, that's 444 00:28:17,400 --> 00:28:21,240 Speaker 1: per the newest Russian resident, Edward Snowden. He just got 445 00:28:21,280 --> 00:28:24,639 Speaker 1: his Russian residency confirmed. You heard about that, right, Oh? No, 446 00:28:24,760 --> 00:28:28,080 Speaker 1: I didn't, but I did hear that. Uh, Putin is 447 00:28:28,320 --> 00:28:31,760 Speaker 1: perhaps stepping down because he was diagnosed with was it 448 00:28:31,920 --> 00:28:36,600 Speaker 1: like Parson Parkinson's Yeah, that's the rumor that but that 449 00:28:36,720 --> 00:28:39,600 Speaker 1: rumor came from the Sun, so I would not give 450 00:28:39,600 --> 00:28:42,320 Speaker 1: it much credits. But yeah he is. Uh, he might 451 00:28:42,360 --> 00:28:46,400 Speaker 1: be going gentle into that good night. Who knows he's 452 00:28:46,400 --> 00:28:48,320 Speaker 1: one of those guys. We don't know how much money 453 00:28:48,360 --> 00:28:52,520 Speaker 1: that dude actually has, and we might not ever know 454 00:28:52,760 --> 00:28:56,320 Speaker 1: how much. Well pause here and return after a word 455 00:28:56,400 --> 00:29:06,560 Speaker 1: from our sponsor. I hope everyone had a wonderful break. 456 00:29:07,000 --> 00:29:09,600 Speaker 1: Tell us about your adventures and all the things you did. 457 00:29:10,240 --> 00:29:12,920 Speaker 1: We went through a lot, we narrowly escaped, and we're 458 00:29:12,960 --> 00:29:15,640 Speaker 1: continuing the episode. So I don't want to divert us 459 00:29:15,680 --> 00:29:17,760 Speaker 1: because that's something that's some stuff I'm working on for 460 00:29:17,880 --> 00:29:22,200 Speaker 1: a for a full episode. I was waiting for more 461 00:29:22,280 --> 00:29:25,720 Speaker 1: confirmation on whether that Russian bill passes a little more 462 00:29:25,760 --> 00:29:30,120 Speaker 1: confirmation about what the heck is going on with bitcoin 463 00:29:30,200 --> 00:29:34,880 Speaker 1: and how it's affected by the pandemic. But yeah, right 464 00:29:34,920 --> 00:29:39,760 Speaker 1: now it sounds like, no, no official leads on this 465 00:29:40,000 --> 00:29:44,520 Speaker 1: mystery account worth near a billion dollars, right, No, it 466 00:29:44,960 --> 00:29:48,480 Speaker 1: does not seem to be the case. Um. There is 467 00:29:48,520 --> 00:29:52,640 Speaker 1: another concept called bitcoin fomo, which is, you know, kind 468 00:29:52,640 --> 00:29:55,520 Speaker 1: of folks feeling that they missed out on the whole 469 00:29:55,680 --> 00:29:58,480 Speaker 1: bitcoin train because now it's like, you know, so costly 470 00:29:58,600 --> 00:30:02,080 Speaker 1: per unit that it it almost not worth investing it anymore. 471 00:30:02,200 --> 00:30:06,400 Speaker 1: I mean, I get crypto. I get why cryptocurrency is 472 00:30:06,400 --> 00:30:09,120 Speaker 1: is interesting because you can use it and it's not traceable. 473 00:30:09,280 --> 00:30:11,640 Speaker 1: In turn, you can trace the activity in the movement 474 00:30:11,680 --> 00:30:14,880 Speaker 1: of it, but not the individual associated with it. Um. 475 00:30:15,000 --> 00:30:17,400 Speaker 1: So that's I see the draw there. But bitcoin itself 476 00:30:17,920 --> 00:30:21,800 Speaker 1: seems to be not something that just you know, upstart 477 00:30:21,880 --> 00:30:25,400 Speaker 1: can get into. Um. But yeah, the Vice article closes 478 00:30:25,400 --> 00:30:27,479 Speaker 1: with a point of you know, with more than nine 479 00:30:27,920 --> 00:30:31,720 Speaker 1: sixty million dollars um empty out of that wallet, We're 480 00:30:31,720 --> 00:30:36,720 Speaker 1: pretty sure that nobody involved in this transaction has bitcoin 481 00:30:36,800 --> 00:30:39,640 Speaker 1: fomo UM, and it's possible that we might never know 482 00:30:39,680 --> 00:30:42,959 Speaker 1: whether this was a heist, whether the person just relocated 483 00:30:43,000 --> 00:30:46,400 Speaker 1: their funds, or I don't know, I guess those are 484 00:30:46,400 --> 00:30:49,560 Speaker 1: the only options, right, Yeah, we don't know. There is 485 00:30:49,680 --> 00:30:58,280 Speaker 1: definitely a mystery in the works here, especially that dormacy period. Uh. 486 00:30:58,320 --> 00:31:03,160 Speaker 1: It could just be that, uh, it could just be 487 00:31:03,280 --> 00:31:05,640 Speaker 1: that that wallet got too hot, you know what I mean, 488 00:31:05,800 --> 00:31:09,120 Speaker 1: and they transferred to something less popular. But those those 489 00:31:09,120 --> 00:31:11,760 Speaker 1: folks will follow you nothing worse than a hot wallet. Van, 490 00:31:11,840 --> 00:31:14,800 Speaker 1: We all know that. Yeah, Yeah, I'm I'm okay with 491 00:31:14,840 --> 00:31:17,120 Speaker 1: the toasty one. I've got a I've got a leather 492 00:31:17,280 --> 00:31:21,160 Speaker 1: wallets when it gets hot. It's just it's weirdly uncomfortable. 493 00:31:21,400 --> 00:31:23,920 Speaker 1: I agree, I agree, But this will we want to 494 00:31:24,000 --> 00:31:26,000 Speaker 1: keep an eye on. But it maybe that we we 495 00:31:26,160 --> 00:31:28,920 Speaker 1: never find out anymore. But I certainly will, and I 496 00:31:28,960 --> 00:31:31,280 Speaker 1: hope you all will too. And I think that's a 497 00:31:31,280 --> 00:31:34,000 Speaker 1: great place to sew this story up. In today's episode 498 00:31:34,000 --> 00:31:37,040 Speaker 1: of Listener Mail, the shoutout as always to write or die, 499 00:31:37,120 --> 00:31:42,520 Speaker 1: Matt Frederick. If you are nearly a bitcoin billionaire and 500 00:31:42,680 --> 00:31:44,840 Speaker 1: you would like to tell us a little bit about 501 00:31:44,840 --> 00:31:48,040 Speaker 1: your story, hit us up. We'd love to hear from you. 502 00:31:48,160 --> 00:31:53,280 Speaker 1: If you are a veteran who has experienced discrimination here 503 00:31:53,320 --> 00:31:56,520 Speaker 1: in these United States or in your home country, we 504 00:31:56,600 --> 00:32:00,000 Speaker 1: would like to hear from you. Would make it easy 505 00:32:00,000 --> 00:32:03,080 Speaker 1: see for us to find We promise, whether you are 506 00:32:03,160 --> 00:32:07,120 Speaker 1: a veteran or UH or a bitcoiner, we are not 507 00:32:07,240 --> 00:32:09,680 Speaker 1: going to ask you for money, or at least I won't. 508 00:32:09,920 --> 00:32:11,640 Speaker 1: You can find us on Facebook. You can find us 509 00:32:11,640 --> 00:32:14,400 Speaker 1: on the internet, I mean Instagram, and you can find 510 00:32:14,480 --> 00:32:17,040 Speaker 1: us on Twitter. Check out. Here's where it gets crazy. 511 00:32:17,400 --> 00:32:20,080 Speaker 1: Just uh. You'll have a little quiz to get in. 512 00:32:20,160 --> 00:32:22,400 Speaker 1: All you have to do is say the name of 513 00:32:22,520 --> 00:32:26,480 Speaker 1: someone associated with the show Edward Bernet's more than qualifies. 514 00:32:26,680 --> 00:32:29,720 Speaker 1: John Wick is cool to uh you get you know, 515 00:32:29,840 --> 00:32:32,680 Speaker 1: or just a pun something something that makes us uh, 516 00:32:33,080 --> 00:32:35,680 Speaker 1: gives us a chuckle. And these are dark days. Uh. 517 00:32:35,720 --> 00:32:37,280 Speaker 1: And then you're in and you can hang out with 518 00:32:37,320 --> 00:32:40,280 Speaker 1: the best part of the show, your fellow listeners. But wait, 519 00:32:40,480 --> 00:32:43,320 Speaker 1: what if you hate social media, Well, we've got good 520 00:32:43,320 --> 00:32:45,840 Speaker 1: news for you. You can use a telephone. Give us 521 00:32:45,840 --> 00:32:48,800 Speaker 1: a call. Can be analogue or digital, Uh, doesn't matter 522 00:32:48,800 --> 00:32:51,320 Speaker 1: to us. All you gotta do is dial one eight 523 00:32:51,360 --> 00:32:53,720 Speaker 1: three three st d W I t K. You will 524 00:32:53,720 --> 00:32:59,160 Speaker 1: be connected with a fact simile of Ben's voice in toning. Um. 525 00:32:59,280 --> 00:33:01,200 Speaker 1: You'll know you're in the right place. You know. It 526 00:33:01,200 --> 00:33:03,600 Speaker 1: just sounds like leave us a message, try to keep 527 00:33:03,600 --> 00:33:06,600 Speaker 1: it between you know, one and three minutes, um, and 528 00:33:06,600 --> 00:33:10,280 Speaker 1: then you might find your voice on this particular segment 529 00:33:10,320 --> 00:33:11,640 Speaker 1: of the show. I know we haven't been doing a 530 00:33:11,640 --> 00:33:14,400 Speaker 1: ton of voicemails lately, but we've got some really good 531 00:33:14,400 --> 00:33:16,600 Speaker 1: ones that we're sitting on and you will hear them 532 00:33:16,680 --> 00:33:19,920 Speaker 1: very soon. Um. If none of that stuff works for you, 533 00:33:19,920 --> 00:33:21,240 Speaker 1: you can just get in touch with us the old 534 00:33:21,240 --> 00:33:23,640 Speaker 1: fashioned way. Why not send us a good old fashioned 535 00:33:23,680 --> 00:33:46,400 Speaker 1: email we are conspiracy at iHeart radio dot com. Stuff 536 00:33:46,440 --> 00:33:48,320 Speaker 1: they don't want you to know is a production of 537 00:33:48,400 --> 00:33:51,320 Speaker 1: I heart Radio. For more podcasts from my heart radio, 538 00:33:51,480 --> 00:33:54,480 Speaker 1: visit the iHeart radio app, Apple Podcasts, or wherever you 539 00:33:54,560 --> 00:33:55,720 Speaker 1: listen to your favorite shows.