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 --> 00:00:25,600 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,640 --> 00:00:28,400 Speaker 1: My name is Mett. They call me Ben. You're joined 6 00:00:28,400 --> 00:00:32,160 Speaker 1: as always with our super producer Paul. Mission controlled decade. 7 00:00:32,479 --> 00:00:36,040 Speaker 1: Most importantly, you are you. You are here, and that 8 00:00:36,080 --> 00:00:39,640 Speaker 1: makes this the stuff they don't want you to know. 9 00:00:40,200 --> 00:00:46,800 Speaker 1: War fomenting across multiple areas of the world, North Korea 10 00:00:47,159 --> 00:00:51,480 Speaker 1: launching some more missiles, finally admitting they have COVID, and 11 00:00:51,960 --> 00:00:54,400 Speaker 1: of course, Matt, as you and I were discussing right 12 00:00:54,440 --> 00:00:59,120 Speaker 1: before we rolled, bees are for legal purposes now fish 13 00:00:59,720 --> 00:01:04,840 Speaker 1: in in some places, bees are fish now. Congratulations everybody, 14 00:01:04,880 --> 00:01:11,040 Speaker 1: we did it, finally coming. I don't know how that's 15 00:01:11,200 --> 00:01:15,600 Speaker 1: us getting them, you and I, but well, they called 16 00:01:15,640 --> 00:01:17,760 Speaker 1: it fly fishing for so long, and you're like, you know, 17 00:01:17,800 --> 00:01:20,360 Speaker 1: why why do they call it fly fishing. I'm just 18 00:01:20,400 --> 00:01:22,759 Speaker 1: imagining people now out in the middle of a field, 19 00:01:22,760 --> 00:01:31,319 Speaker 1: in a meadow just trying to catch all them fish. 20 00:01:31,440 --> 00:01:34,720 Speaker 1: And it's it's funny because just really quickly on that 21 00:01:34,760 --> 00:01:41,080 Speaker 1: where we're specifically referencing a recent ruling in California that 22 00:01:42,520 --> 00:01:45,760 Speaker 1: it's a little bit um, I don't know, it's a 23 00:01:45,800 --> 00:01:48,720 Speaker 1: little bit headlining and click baity for us just to 24 00:01:48,760 --> 00:01:52,360 Speaker 1: say bees or fish, But technically it means that bees 25 00:01:52,360 --> 00:01:57,120 Speaker 1: are invertebrates that the court allows to fall under the 26 00:01:57,200 --> 00:02:03,800 Speaker 1: statute definition of fish for environmental and conservationist purposes. So 27 00:02:04,760 --> 00:02:07,400 Speaker 1: still bes are fish. That's all you need. That's the 28 00:02:07,440 --> 00:02:13,480 Speaker 1: only takeaway I know, right, So, uh, we opened with 29 00:02:13,680 --> 00:02:19,280 Speaker 1: some hard hitting the real news wars, starvation, food supply crisis, 30 00:02:19,360 --> 00:02:26,680 Speaker 1: and and bees. But now don't forget the water. Yes, Matt, 31 00:02:26,720 --> 00:02:29,600 Speaker 1: Today you and I are going to one of our 32 00:02:29,680 --> 00:02:34,720 Speaker 1: favorite weekly segments, Strange News, and we're going to talk 33 00:02:34,760 --> 00:02:37,680 Speaker 1: about you know, we don't always get to do this, 34 00:02:38,120 --> 00:02:41,040 Speaker 1: but I think we're both very excited because we get 35 00:02:41,080 --> 00:02:44,560 Speaker 1: to explore some very good news, some news that may 36 00:02:44,600 --> 00:02:48,240 Speaker 1: well be historic. We're gonna talk a little bit about 37 00:02:48,240 --> 00:02:50,960 Speaker 1: some heavy stuff, and then we're also going to talk 38 00:02:51,000 --> 00:02:57,919 Speaker 1: about some potentially amazing, very much life saving stuff, and 39 00:02:58,200 --> 00:03:01,200 Speaker 1: we'll do it with the shorty you have come to 40 00:03:01,320 --> 00:03:03,880 Speaker 1: expect from stuff they don't want you to know, which 41 00:03:03,919 --> 00:03:08,880 Speaker 1: means I will endeavor unsuccessfully to keep my butt jokes 42 00:03:09,040 --> 00:03:12,400 Speaker 1: at a minimum. Oh, your butt jokes were already strong 43 00:03:12,480 --> 00:03:15,480 Speaker 1: in this episode before we started rolling, so I can't 44 00:03:15,480 --> 00:03:20,320 Speaker 1: wait for that jeez. All right, well, maybe our our 45 00:03:20,360 --> 00:03:24,000 Speaker 1: first story met that. Um, we should start out with 46 00:03:24,760 --> 00:03:29,880 Speaker 1: concerns mass shootings in the United States, but not in 47 00:03:29,919 --> 00:03:34,560 Speaker 1: the way that you think. You know, this is, um, 48 00:03:34,680 --> 00:03:39,440 Speaker 1: this is one of those situations that the English language, 49 00:03:40,080 --> 00:03:43,880 Speaker 1: with all its weird pirated words, still does not have 50 00:03:44,440 --> 00:03:49,280 Speaker 1: a proper term for tragedy, doesn't cover it right. Atrocity 51 00:03:49,360 --> 00:03:53,360 Speaker 1: doesn't quite fit either. Um. You know, it's scary that 52 00:03:54,640 --> 00:03:58,920 Speaker 1: it's scary, and it's heartbreaking, honestly that mass shootings in 53 00:03:58,960 --> 00:04:05,320 Speaker 1: the US have become normalized for the population. People are dying. 54 00:04:05,960 --> 00:04:10,119 Speaker 1: Everyone knows there is a huge systemic problem. No one 55 00:04:10,640 --> 00:04:14,560 Speaker 1: can agree universe. No one has proposed a solution that 56 00:04:14,680 --> 00:04:17,800 Speaker 1: all parties agree to, And I would argue, you know, 57 00:04:17,920 --> 00:04:22,360 Speaker 1: part of that clearly is due to um moneyed interest 58 00:04:22,760 --> 00:04:27,080 Speaker 1: right putting their hand in the conversation tail as old 59 00:04:27,120 --> 00:04:30,440 Speaker 1: as time, same as it ever was. But our starting 60 00:04:30,480 --> 00:04:35,599 Speaker 1: story today is about a near miss, like a matrix dodge, 61 00:04:35,600 --> 00:04:37,599 Speaker 1: And I don't know if it's a good near miss, 62 00:04:37,720 --> 00:04:39,839 Speaker 1: if it's a bad near miss. I guess it depends 63 00:04:39,880 --> 00:04:43,320 Speaker 1: on your perspective. But Matt, you know what we're talking about. Oh, 64 00:04:43,400 --> 00:04:46,280 Speaker 1: I do know what we're talking about. We're talking about 65 00:04:46,320 --> 00:04:49,200 Speaker 1: a group of people, a small group of people, who 66 00:04:49,320 --> 00:04:52,000 Speaker 1: thought they had come up with an answer to that problem, like, 67 00:04:52,040 --> 00:04:56,880 Speaker 1: how do we prevent mass shootings at least in specific 68 00:04:58,480 --> 00:05:02,400 Speaker 1: places where we really don't want mass shootings to happen 69 00:05:02,800 --> 00:05:06,120 Speaker 1: i e. You know, schools and perhaps in the future churches, 70 00:05:07,360 --> 00:05:10,600 Speaker 1: other places like that of mass gathering. Uh, they thought 71 00:05:10,640 --> 00:05:14,560 Speaker 1: they found an answer. They really really did. Yes, they 72 00:05:14,600 --> 00:05:19,840 Speaker 1: really did. Our story starts with a group called Axon 73 00:05:20,200 --> 00:05:27,200 Speaker 1: Air a x O. N Axon Air manufactures drones. If 74 00:05:27,240 --> 00:05:30,800 Speaker 1: you go to their website axon dot com, then you 75 00:05:30,920 --> 00:05:35,960 Speaker 1: will see that their primary mission, what they consider their remit, 76 00:05:36,440 --> 00:05:40,320 Speaker 1: is to be an end to end drone solution which 77 00:05:40,320 --> 00:05:44,640 Speaker 1: has all the bells and whistles of surveillance and with 78 00:05:44,680 --> 00:05:47,880 Speaker 1: the aim being public safety. So this means they have 79 00:05:48,120 --> 00:05:54,320 Speaker 1: wireless live streaming video capability. Uh, they can interface in 80 00:05:54,560 --> 00:05:58,719 Speaker 1: a network. They allow for what you would call real 81 00:05:58,800 --> 00:06:03,640 Speaker 1: time situational awareness, which is a huge thing that all 82 00:06:03,760 --> 00:06:06,200 Speaker 1: the modern militaries of the world are looking for as 83 00:06:06,279 --> 00:06:11,680 Speaker 1: well as law enforcement, even you know, even race race 84 00:06:11,720 --> 00:06:14,680 Speaker 1: car drivers, race car teams are looking for stuff like 85 00:06:14,720 --> 00:06:18,440 Speaker 1: this because if you can know what's happening while it's 86 00:06:18,480 --> 00:06:22,640 Speaker 1: happening on the ground, you can avoid the fog of war. 87 00:06:23,360 --> 00:06:27,160 Speaker 1: And you can also if you go with Axon enroll 88 00:06:27,279 --> 00:06:30,040 Speaker 1: in training programs. They really want to be stem to stern, 89 00:06:30,240 --> 00:06:34,320 Speaker 1: soup to nuts. And a few days ago, not too 90 00:06:34,360 --> 00:06:39,599 Speaker 1: long ago, Axon said they were gonna work to build 91 00:06:39,680 --> 00:06:45,400 Speaker 1: drones that could fly in school, and they specifically said 92 00:06:45,480 --> 00:06:48,600 Speaker 1: this would help prevent the next Duvall Day, the next 93 00:06:48,600 --> 00:06:52,880 Speaker 1: Sandy Hook, the next Columby. How would it help prevent 94 00:06:53,480 --> 00:06:57,440 Speaker 1: we have these robotic insects flying around, Well, it would 95 00:06:57,480 --> 00:07:03,400 Speaker 1: help prevent mass shootings, Acson argued, because the drones would 96 00:07:03,440 --> 00:07:10,960 Speaker 1: be armed with tasers, which are technically less than lethal weapons. 97 00:07:11,680 --> 00:07:14,600 Speaker 1: It's an important distinction. You know. It always bugs me. 98 00:07:14,640 --> 00:07:16,280 Speaker 1: I don't know about you, Matt, but it always bugs 99 00:07:16,320 --> 00:07:19,000 Speaker 1: me when I hear people describe things like tasers as 100 00:07:19,120 --> 00:07:22,920 Speaker 1: non lethal. Tell that to someone you know with a 101 00:07:22,960 --> 00:07:27,080 Speaker 1: faulty ticker. You think, less less than lethal is the 102 00:07:27,240 --> 00:07:30,280 Speaker 1: only way you can phrase it. Well, let's talk Let's 103 00:07:30,280 --> 00:07:33,720 Speaker 1: talk about Taser in particular, because that's that's one of 104 00:07:33,720 --> 00:07:38,000 Speaker 1: those band aid situations, right. Uh, it's a it's a 105 00:07:38,040 --> 00:07:42,400 Speaker 1: proper noun for a thing. A taser gun made by Taser. 106 00:07:43,080 --> 00:07:46,000 Speaker 1: That's the ones that have the two the two prickly 107 00:07:46,040 --> 00:07:50,200 Speaker 1: bits that shoot out and shock you. They both have 108 00:07:50,240 --> 00:07:53,480 Speaker 1: to hit and remember that's important. Um. But they also 109 00:07:53,560 --> 00:07:55,560 Speaker 1: make you know, stun guns that just have the two 110 00:07:55,640 --> 00:08:00,320 Speaker 1: nodes that shooting electrical arc across. But Taser is the 111 00:08:00,320 --> 00:08:03,320 Speaker 1: proper noun. The company that is now known as ax On. 112 00:08:03,840 --> 00:08:08,360 Speaker 1: I didn't know that before we did this story. Yes, 113 00:08:08,840 --> 00:08:18,560 Speaker 1: that's correct, just like um, just like Blackwater XE. However, 114 00:08:18,600 --> 00:08:21,680 Speaker 1: you yeah, don't, don't get married to that name. I'm 115 00:08:21,680 --> 00:08:24,200 Speaker 1: sure they'll change it, you know, the next time the 116 00:08:24,280 --> 00:08:28,040 Speaker 1: news cycle finds him again. But yes, Taser changed its name. 117 00:08:28,120 --> 00:08:31,760 Speaker 1: If you want to learn the full history of Taser 118 00:08:32,120 --> 00:08:36,559 Speaker 1: as a company, do check out our pal Robert Evans 119 00:08:36,679 --> 00:08:39,640 Speaker 1: um Camera. I think it did. I think it was 120 00:08:39,720 --> 00:08:41,920 Speaker 1: behind the Bastards. I should know because it was on 121 00:08:42,240 --> 00:08:44,960 Speaker 1: that episode or that series. But anyway, it has a 122 00:08:45,000 --> 00:08:49,360 Speaker 1: long controversial history. And what do you do when you 123 00:08:49,400 --> 00:08:54,160 Speaker 1: have a long controversial history. You rebrand. Baby, It's America. 124 00:08:54,440 --> 00:09:01,480 Speaker 1: That's not me anymore. You know, Taser was really smart. 125 00:09:01,760 --> 00:09:03,920 Speaker 1: What they would do is spend all of that money 126 00:09:04,200 --> 00:09:07,320 Speaker 1: that I'm sure they spend on lobbying, as all of 127 00:09:07,360 --> 00:09:11,600 Speaker 1: these companies do, and uh, try and convince you know, 128 00:09:11,760 --> 00:09:15,360 Speaker 1: the lawmakers within the United States that Americans should own 129 00:09:15,640 --> 00:09:19,760 Speaker 1: tasers and stunt guns instead of guns. Right, and then 130 00:09:19,800 --> 00:09:22,280 Speaker 1: you could get tasers in the hands of everybody and 131 00:09:22,320 --> 00:09:25,720 Speaker 1: there'd be eight million tasers in the world instead of guns. 132 00:09:26,040 --> 00:09:29,640 Speaker 1: That would be smart Taser, you should do that. Yeah, 133 00:09:29,880 --> 00:09:34,480 Speaker 1: So Taser as well acts on enterprise, we should say, 134 00:09:34,559 --> 00:09:37,160 Speaker 1: which is I'm being kind of unfair. They were founded 135 00:09:37,280 --> 00:09:41,520 Speaker 1: ninety three. They were just always best known for tasers, 136 00:09:41,840 --> 00:09:44,280 Speaker 1: and that's what they had called themselves. It's got an 137 00:09:44,320 --> 00:09:49,080 Speaker 1: interesting entomology. It's based on a novel made in nineteen 138 00:09:49,120 --> 00:09:53,080 Speaker 1: eleven called Tom Swift and his Electric Rifle. And so 139 00:09:53,640 --> 00:09:57,680 Speaker 1: the guy who came up with this idea NASA researcher, 140 00:09:57,720 --> 00:10:00,640 Speaker 1: by the way, decided to just play with the language 141 00:10:00,640 --> 00:10:04,880 Speaker 1: a little and call it taser. Uh. These things were 142 00:10:05,360 --> 00:10:09,640 Speaker 1: originally classified as firearms, by the way, you don't hear 143 00:10:09,679 --> 00:10:11,760 Speaker 1: too much about now, but it's because they used to 144 00:10:11,840 --> 00:10:17,040 Speaker 1: use gunpowder as they're propellant. Anyhow, fast forward modern day 145 00:10:17,440 --> 00:10:22,839 Speaker 1: mats shootings. This company, which is publicly traded, their CEO, 146 00:10:23,240 --> 00:10:29,240 Speaker 1: Rick Smith, said shortly after the latest school shooting in Texas, 147 00:10:29,559 --> 00:10:34,000 Speaker 1: he said he felt compelled to make this idea of 148 00:10:34,160 --> 00:10:38,280 Speaker 1: taser equipped drones in grade schools public because he was 149 00:10:38,400 --> 00:10:42,880 Speaker 1: catastrophically disappointed in the response by police who did not 150 00:10:43,040 --> 00:10:45,840 Speaker 1: move in to kill the suspect for more than an hour. 151 00:10:46,160 --> 00:10:48,720 Speaker 1: And that is a true story, by the way, folks, 152 00:10:48,760 --> 00:10:51,079 Speaker 1: if you are not in the US or you haven't 153 00:10:51,120 --> 00:10:54,400 Speaker 1: been following that news, police presence was there at the 154 00:10:54,480 --> 00:10:59,160 Speaker 1: school and simply refused to enter. I unders do anything 155 00:10:59,200 --> 00:11:02,439 Speaker 1: to say to that. Yeah, but there's I mean, it's 156 00:11:02,480 --> 00:11:08,040 Speaker 1: a fact. It's not my opinion. Yeah yeah. And he 157 00:11:08,080 --> 00:11:11,480 Speaker 1: said in his statement which you can you can read. 158 00:11:11,679 --> 00:11:15,280 Speaker 1: It's an interview with the Associated Press, he said that 159 00:11:15,360 --> 00:11:18,040 Speaker 1: at this point he's going public with this as a 160 00:11:18,120 --> 00:11:23,000 Speaker 1: reaction to the tragedy, to the atrocity. And he was 161 00:11:23,200 --> 00:11:27,320 Speaker 1: very clear that no actual product had been launched, and 162 00:11:27,360 --> 00:11:31,640 Speaker 1: he said any potential launch would be kind of quote 163 00:11:31,679 --> 00:11:36,280 Speaker 1: down the road, right, so no definitive deployment date. But 164 00:11:36,320 --> 00:11:38,840 Speaker 1: he said he felt he needed to share the idea 165 00:11:39,160 --> 00:11:42,719 Speaker 1: now because it was kind of in the zeitgeist. There 166 00:11:42,840 --> 00:11:47,920 Speaker 1: was there wasn't his strident public conversation and debate about 167 00:11:48,640 --> 00:11:53,600 Speaker 1: how to increase safety for schools. You'll hear people argue 168 00:11:53,960 --> 00:12:00,000 Speaker 1: any number of things and prioritize them any number of ways. Um. 169 00:12:00,040 --> 00:12:03,960 Speaker 1: One I think that is particularly shortsighted is the idea 170 00:12:04,120 --> 00:12:07,760 Speaker 1: of effectively turning a school into a box canyon, making 171 00:12:07,880 --> 00:12:11,920 Speaker 1: it one one entry exit point and just I guess 172 00:12:11,960 --> 00:12:17,280 Speaker 1: worrying about that later during a fire or something. Anyhow So, 173 00:12:18,520 --> 00:12:22,400 Speaker 1: and this is not dunking on people who thought that 174 00:12:22,520 --> 00:12:26,400 Speaker 1: was a big answer. It's just they're reacting and there 175 00:12:26,880 --> 00:12:29,600 Speaker 1: if they're politicians, they're reacting to what they see as 176 00:12:29,640 --> 00:12:33,920 Speaker 1: an opportunity for poll numbers. If they're people, they're reacting 177 00:12:34,360 --> 00:12:38,440 Speaker 1: to try to find a way to try to find 178 00:12:38,440 --> 00:12:41,199 Speaker 1: a way to prevent more mass deaths. And that's in 179 00:12:41,360 --> 00:12:44,880 Speaker 1: a political statement at that point. Anyhow So, there we go, 180 00:12:45,800 --> 00:12:49,720 Speaker 1: this has this mass shooting occurs, and this one in 181 00:12:49,760 --> 00:12:54,960 Speaker 1: particular uh and inspires or compels his words the CEO 182 00:12:55,240 --> 00:13:00,320 Speaker 1: to say, we are working on what we feel is 183 00:13:00,360 --> 00:13:04,120 Speaker 1: a solution, a solution in that it would be a 184 00:13:04,240 --> 00:13:09,160 Speaker 1: less than lethal approach right to uh to a perpetrator. 185 00:13:09,480 --> 00:13:15,800 Speaker 1: And it would also avoid involving human law enforcement on 186 00:13:15,840 --> 00:13:18,880 Speaker 1: the scene. Right, So maybe it would circumvent that problem. 187 00:13:18,920 --> 00:13:23,160 Speaker 1: It's heavily implied, so it isn't the concept also that 188 00:13:23,440 --> 00:13:27,280 Speaker 1: the drones themselves would not be operated by the local 189 00:13:27,320 --> 00:13:30,120 Speaker 1: police force. It would be a separate third party that 190 00:13:30,200 --> 00:13:34,440 Speaker 1: actually controls and operates the drones. Maybe maybe I read 191 00:13:34,480 --> 00:13:36,839 Speaker 1: that wrong. I was reading the Vice article you shared, Ben. 192 00:13:37,440 --> 00:13:41,240 Speaker 1: It seemed like that's one of the major issues the 193 00:13:41,240 --> 00:13:44,760 Speaker 1: the board took issue with the ethics board. Yeah, the 194 00:13:45,280 --> 00:13:50,600 Speaker 1: this is an article from Janice Rose over Vice Motherboard. 195 00:13:50,679 --> 00:13:52,600 Speaker 1: And I don't want to give the headline just yet 196 00:13:52,600 --> 00:13:55,720 Speaker 1: because we'll save it just for a second. But also 197 00:13:55,760 --> 00:13:59,160 Speaker 1: while we're shouting out journalist, which we always love to do, 198 00:13:59,360 --> 00:14:03,839 Speaker 1: want to shout Michael Balsamo over a p News as 199 00:14:03,920 --> 00:14:10,240 Speaker 1: well as Matt O'Brien also over a p Okay. Here's 200 00:14:10,240 --> 00:14:13,000 Speaker 1: the here's the headline. Here's what happened. So they went 201 00:14:13,040 --> 00:14:17,160 Speaker 1: public with this statement, and they're a big company, know 202 00:14:17,360 --> 00:14:23,040 Speaker 1: they're successful. Uh. They announced just a few days later, 203 00:14:24,040 --> 00:14:26,280 Speaker 1: just like forty eight hours ago as we record this, 204 00:14:26,840 --> 00:14:30,120 Speaker 1: that one they had an ethics board, which I wasn't 205 00:14:30,120 --> 00:14:34,840 Speaker 1: aware of that accent. And two that the vast majority 206 00:14:34,880 --> 00:14:38,560 Speaker 1: of their ethics board resigned once this announcement came through, 207 00:14:38,880 --> 00:14:41,760 Speaker 1: and that led them to say again just forty eight 208 00:14:41,760 --> 00:14:44,920 Speaker 1: hours ago, that they are not in fact going to 209 00:14:44,960 --> 00:14:52,680 Speaker 1: go forward with making drone armed tasers. Uh. This ethics 210 00:14:52,680 --> 00:14:58,480 Speaker 1: board is particularly concerned with artificial intelligence. And Smith said, look, 211 00:14:59,160 --> 00:15:03,560 Speaker 1: we wanted this statement was meant to quote initiate a 212 00:15:03,600 --> 00:15:07,440 Speaker 1: conversation on this as a potential solution. And then he said, 213 00:15:09,400 --> 00:15:11,080 Speaker 1: I want to what you think of this man? And 214 00:15:11,120 --> 00:15:15,040 Speaker 1: then he said the ensuing discussion quote provided us with 215 00:15:15,080 --> 00:15:20,000 Speaker 1: a deeper appreciation of the complex and important considerations end 216 00:15:20,080 --> 00:15:25,560 Speaker 1: quote around this issue. So I don't know, what, what 217 00:15:25,600 --> 00:15:27,120 Speaker 1: do you think about this? Do you think that means 218 00:15:27,120 --> 00:15:29,400 Speaker 1: they're going to come back with a different idea or 219 00:15:29,440 --> 00:15:32,680 Speaker 1: do you think they're gonna just throw it out. That's 220 00:15:32,720 --> 00:15:34,600 Speaker 1: a tough Uh, that's a tough one for me. It 221 00:15:34,600 --> 00:15:36,240 Speaker 1: feels like they're going to throw it out at least 222 00:15:36,240 --> 00:15:40,080 Speaker 1: for a while. My understanding from the statement given by 223 00:15:40,200 --> 00:15:42,840 Speaker 1: that advisory board, or at least by someone speaking on 224 00:15:42,880 --> 00:15:46,200 Speaker 1: behalf of the members who resigned on that advisory board 225 00:15:46,560 --> 00:15:50,720 Speaker 1: is that they did discuss attempting this, but doing it 226 00:15:50,800 --> 00:15:53,480 Speaker 1: in a tiny little pilot program. Right, let's pick one 227 00:15:53,560 --> 00:15:57,320 Speaker 1: school or one place, one community that decides this is 228 00:15:57,320 --> 00:16:00,720 Speaker 1: an okay idea, then we'll try it there. What happens. 229 00:16:01,680 --> 00:16:05,960 Speaker 1: But then I guess the advisory board, the ethics committee, 230 00:16:06,080 --> 00:16:08,720 Speaker 1: they decided, well, we should probably not do that. But 231 00:16:08,800 --> 00:16:12,280 Speaker 1: the actual company and that person Mr Smith, I guess 232 00:16:12,320 --> 00:16:15,320 Speaker 1: who runs the company, made that announcement that yes, this 233 00:16:15,400 --> 00:16:18,280 Speaker 1: is going to happen, we are doing this. It seems 234 00:16:18,400 --> 00:16:22,200 Speaker 1: as though, in my mind the company really wants to 235 00:16:22,240 --> 00:16:24,800 Speaker 1: make it happen and they'll do what they need to 236 00:16:24,880 --> 00:16:27,840 Speaker 1: make it happen or something like that. Because it does 237 00:16:28,000 --> 00:16:32,600 Speaker 1: feel like a way to get your company and it's 238 00:16:32,640 --> 00:16:35,560 Speaker 1: products in a lot of places, right that I think 239 00:16:35,600 --> 00:16:37,560 Speaker 1: the company will at least attempt to do it in 240 00:16:37,600 --> 00:16:42,200 Speaker 1: some other way at some other time maybe, um, because 241 00:16:42,240 --> 00:16:44,560 Speaker 1: it does seem smart. It seems like a smart business 242 00:16:45,240 --> 00:16:48,600 Speaker 1: attempt at least. Do you can see the profits that 243 00:16:48,680 --> 00:16:51,840 Speaker 1: would be there? Yeah, I agree with you, because if 244 00:16:51,880 --> 00:16:56,440 Speaker 1: you think about it, and just in purely profit motivated terms, 245 00:16:56,640 --> 00:16:59,080 Speaker 1: and we're not saying that anybody at acts on is 246 00:16:59,080 --> 00:17:02,360 Speaker 1: a bad. To be clear, Uh, if you think about 247 00:17:02,360 --> 00:17:07,320 Speaker 1: it in purely profit defined terms, then every business in 248 00:17:07,359 --> 00:17:14,840 Speaker 1: the US conceivably wants to get a contract with the government, 249 00:17:15,119 --> 00:17:17,800 Speaker 1: right with the government of the land. Their coffers are 250 00:17:17,920 --> 00:17:23,280 Speaker 1: nearly endless. They will guarantee work for multiple years. And 251 00:17:23,800 --> 00:17:27,800 Speaker 1: you are at one of the juiciest troughs in all 252 00:17:27,840 --> 00:17:30,760 Speaker 1: of capitalism. If you can, if you can get your snout, 253 00:17:31,160 --> 00:17:34,360 Speaker 1: you know, just up in that junk, then you are 254 00:17:34,400 --> 00:17:37,639 Speaker 1: going to be fat and happy. Again, this is not 255 00:17:37,920 --> 00:17:43,080 Speaker 1: This maybe a crass picture, right, but I want to 256 00:17:43,119 --> 00:17:48,520 Speaker 1: go back to this board. So this board earlier had 257 00:17:48,640 --> 00:17:52,520 Speaker 1: voted not to proceed with the pilot of the Taser drone, 258 00:17:52,600 --> 00:17:57,000 Speaker 1: or they voted against recommending that I go forward. They 259 00:17:57,040 --> 00:17:59,320 Speaker 1: can't cut it off themselves, which is why they had 260 00:17:59,320 --> 00:18:02,280 Speaker 1: to resign. They voted eight to four against it, and 261 00:18:02,320 --> 00:18:07,640 Speaker 1: then nine people resigned after the statement, and they issued 262 00:18:07,720 --> 00:18:14,040 Speaker 1: an extraordinarily rare public explanation of why they left. Rather 263 00:18:14,080 --> 00:18:18,520 Speaker 1: than be associated with this kind of technology. They said 264 00:18:18,600 --> 00:18:23,520 Speaker 1: that this was quote trading on the tragedy of the 265 00:18:23,600 --> 00:18:27,639 Speaker 1: Uval Day and Buffalo shootings. And then they also said 266 00:18:27,680 --> 00:18:30,479 Speaker 1: they had lost faith in Axons ability to be a 267 00:18:30,480 --> 00:18:37,719 Speaker 1: responsible partner, and they were very concerned about this stuff 268 00:18:37,760 --> 00:18:42,359 Speaker 1: being deployed in minority communities, minority schools that they felt 269 00:18:42,359 --> 00:18:46,359 Speaker 1: were already over policed. And one of the lines that 270 00:18:46,400 --> 00:18:48,439 Speaker 1: really stood out to me from this statement was the 271 00:18:48,480 --> 00:18:51,680 Speaker 1: following quote, we wish it had not come to this. 272 00:18:52,200 --> 00:18:54,439 Speaker 1: Each of us joined this board in the belief that 273 00:18:54,480 --> 00:18:57,639 Speaker 1: we could influence the direction of the company in ways 274 00:18:57,680 --> 00:19:00,840 Speaker 1: that would help mitigate the harms the policing technology can 275 00:19:00,920 --> 00:19:06,080 Speaker 1: so and better capture any benefits. And later one of 276 00:19:06,080 --> 00:19:08,840 Speaker 1: the board members, a guy named Barry Friedman, who is 277 00:19:08,920 --> 00:19:12,280 Speaker 1: a law professor at n y U. He said it 278 00:19:12,320 --> 00:19:16,560 Speaker 1: had been a painful struggle for most of most of 279 00:19:16,640 --> 00:19:20,840 Speaker 1: his time on the board to try to talk acts 280 00:19:21,000 --> 00:19:25,520 Speaker 1: on back from the brink of doing potentially disastrous things 281 00:19:25,760 --> 00:19:29,679 Speaker 1: in a in a search for I guess good, a 282 00:19:29,760 --> 00:19:36,119 Speaker 1: well intentioned search for safety and of course, inseparably profits. 283 00:19:37,040 --> 00:19:39,080 Speaker 1: I just I don't know, man, did your did your 284 00:19:39,080 --> 00:19:43,160 Speaker 1: school have a metal detector? No, I've I've know. There 285 00:19:43,200 --> 00:19:45,919 Speaker 1: may have been a metal detector at the entrances of 286 00:19:45,920 --> 00:19:50,000 Speaker 1: a few buildings down in Georgia State, in downtown Atlanta, 287 00:19:50,119 --> 00:19:52,080 Speaker 1: but not not where I went to. Like you know 288 00:19:52,440 --> 00:19:57,560 Speaker 1: k through twelve mm. It feels. Man. The more I'm 289 00:19:57,600 --> 00:20:01,080 Speaker 1: thinking about this, I can total the see why the 290 00:20:01,119 --> 00:20:04,959 Speaker 1: advisory board would have such a problem. They're thinking long term. 291 00:20:05,240 --> 00:20:07,400 Speaker 1: No matter how good of an idea you think, this 292 00:20:07,680 --> 00:20:11,320 Speaker 1: is to protect schools, even if you don't believe that 293 00:20:11,480 --> 00:20:16,480 Speaker 1: it will you know, be used in instances of racial 294 00:20:16,520 --> 00:20:20,119 Speaker 1: injustice and other forms of injustice and issues within the school. 295 00:20:20,200 --> 00:20:23,720 Speaker 1: Even if you don't think about that, think about when 296 00:20:24,000 --> 00:20:26,880 Speaker 1: there's a huge number of these things in circulation at 297 00:20:26,880 --> 00:20:30,800 Speaker 1: schools in cities across you know, at least the United 298 00:20:30,840 --> 00:20:34,600 Speaker 1: States or potentially the world, and there's some kind of 299 00:20:34,680 --> 00:20:38,680 Speaker 1: peaceful protests, some kind of gathering of people to speak 300 00:20:38,720 --> 00:20:41,359 Speaker 1: out against something, and let's say a public square that 301 00:20:41,440 --> 00:20:45,080 Speaker 1: happens to be fairly close to a school. Could those 302 00:20:45,119 --> 00:20:49,920 Speaker 1: things be deployed as like crowd control? Could they be 303 00:20:50,040 --> 00:20:56,000 Speaker 1: deployed as non lethal deterrence for things like that? And if, 304 00:20:57,160 --> 00:21:00,719 Speaker 1: if you know, ACXON sees a lot of growth because 305 00:21:00,760 --> 00:21:02,880 Speaker 1: of that, would they not then just sell a bunch 306 00:21:02,920 --> 00:21:05,600 Speaker 1: of these that are I mean, this is me just 307 00:21:05,600 --> 00:21:07,840 Speaker 1: completely making things up, but a bunch of these that 308 00:21:07,920 --> 00:21:11,280 Speaker 1: are somehow attached to a vehicle that could be you know, 309 00:21:11,480 --> 00:21:15,080 Speaker 1: just driven up to an area where protest is occurring 310 00:21:15,119 --> 00:21:20,400 Speaker 1: and they just fly out like some horrifying black mirror scenario. 311 00:21:20,520 --> 00:21:26,480 Speaker 1: I mean, you can totally see that. It's the it's 312 00:21:26,560 --> 00:21:30,560 Speaker 1: the slope that doth slip. Yes, but I love the 313 00:21:30,720 --> 00:21:34,000 Speaker 1: art of that. We've been going a little bit long 314 00:21:34,080 --> 00:21:37,480 Speaker 1: on this one, so before we pause, just a couple 315 00:21:37,520 --> 00:21:42,840 Speaker 1: of quick points. Primary sources are key in any any search. 316 00:21:43,080 --> 00:21:48,000 Speaker 1: You know, um, for many people who are listening to 317 00:21:48,040 --> 00:21:54,199 Speaker 1: the show today, you may have lost someone to a 318 00:21:54,240 --> 00:21:59,879 Speaker 1: firearm debt. Unfortunately, the statistics speak for themselves here, and 319 00:22:01,160 --> 00:22:06,040 Speaker 1: everyone we can reasonably assume is looking for some sort 320 00:22:06,200 --> 00:22:11,760 Speaker 1: of solution. People differ in their opinions on what those solutions. Maybe. 321 00:22:13,000 --> 00:22:16,639 Speaker 1: If you want to learn more about why Rick Smith 322 00:22:17,000 --> 00:22:23,119 Speaker 1: of Acts on Enterprise proposed this plan before quickly you know, 323 00:22:23,960 --> 00:22:27,359 Speaker 1: walking it back, then, I recommend you check out his 324 00:22:27,760 --> 00:22:31,479 Speaker 1: a m A interview or his a m A thread 325 00:22:31,600 --> 00:22:34,120 Speaker 1: on Reddit. A m A stands for ask me Anything, 326 00:22:34,280 --> 00:22:39,040 Speaker 1: and numerous people will go on this forum and they'll 327 00:22:39,080 --> 00:22:41,439 Speaker 1: say just that, ask me anything, and they'll give you 328 00:22:41,480 --> 00:22:43,840 Speaker 1: a little note about what they really want to talk about. 329 00:22:44,280 --> 00:22:48,000 Speaker 1: The absolute worst one being Woody Harrelson's debacle when he 330 00:22:48,040 --> 00:22:53,560 Speaker 1: went to promote a movie called Rampart. Rampart, But you 331 00:22:53,600 --> 00:22:57,040 Speaker 1: can hear from him directly, and he seems like he's 332 00:22:57,160 --> 00:23:00,760 Speaker 1: arguing in good faith. You don't have to agree with him, 333 00:23:00,760 --> 00:23:02,840 Speaker 1: but if you want to learn more about, you know, 334 00:23:03,000 --> 00:23:07,600 Speaker 1: his logic, then check that out. More importantly, for our purposes, 335 00:23:08,000 --> 00:23:11,560 Speaker 1: we want to hear from you. We haven't talked about 336 00:23:11,600 --> 00:23:15,440 Speaker 1: this very often on the show, but it's inescapable. There 337 00:23:15,440 --> 00:23:19,239 Speaker 1: are many mass shootings here in the United States, so 338 00:23:19,359 --> 00:23:21,560 Speaker 1: much so that, as we said at the top, they 339 00:23:21,600 --> 00:23:27,800 Speaker 1: have become normalized. Everyone agrees there's a problem. What do 340 00:23:27,920 --> 00:23:32,639 Speaker 1: you think a solution would look like? Three st d 341 00:23:32,960 --> 00:23:35,040 Speaker 1: w y t K. You can also find us a 342 00:23:35,119 --> 00:23:37,920 Speaker 1: conspiracy iHeart radio dot Com. We're gonna pause for a 343 00:23:37,960 --> 00:23:50,080 Speaker 1: word from our sponsors and will return and we're back. Ben. 344 00:23:50,480 --> 00:23:52,879 Speaker 1: I think it was Noel who recommended the show, or 345 00:23:52,880 --> 00:23:55,960 Speaker 1: maybe it was you. I can't remember the HBO show 346 00:23:56,960 --> 00:24:00,439 Speaker 1: We Own This City, which is David Simon's next like 347 00:24:00,600 --> 00:24:03,080 Speaker 1: project at least that he's been working on. Looking at 348 00:24:03,080 --> 00:24:07,080 Speaker 1: Baltimore and the years surrounding the Freddy Gray incident and 349 00:24:07,280 --> 00:24:12,159 Speaker 1: Burner Um pretty interesting and because of that last segment. 350 00:24:12,200 --> 00:24:16,000 Speaker 1: I just have images again of police being able to 351 00:24:16,080 --> 00:24:20,919 Speaker 1: release these things for everything from street policing to no 352 00:24:21,040 --> 00:24:23,359 Speaker 1: knock warrants, like serving a no knock warrant with a 353 00:24:23,359 --> 00:24:30,240 Speaker 1: little several drones that surround a building. It's terrifying to me. H, Okay, 354 00:24:30,359 --> 00:24:34,080 Speaker 1: let's move on to something else. Uh. Cancer, we've all 355 00:24:34,119 --> 00:24:36,800 Speaker 1: got it, well, not yet. Maybe we just don't know 356 00:24:36,840 --> 00:24:45,480 Speaker 1: about it yet. Plastics got it, got it well. I'm 357 00:24:45,560 --> 00:24:47,960 Speaker 1: being a little joking about this because I have many 358 00:24:47,960 --> 00:24:50,520 Speaker 1: people in my family who have suffered from cancer. A 359 00:24:50,560 --> 00:24:54,439 Speaker 1: few you've made it through, several have not. And I 360 00:24:54,520 --> 00:24:57,800 Speaker 1: know that most of us listening are in the same situation. 361 00:24:58,280 --> 00:25:02,080 Speaker 1: You've probably been affected by cancer in your uh personal 362 00:25:02,119 --> 00:25:08,600 Speaker 1: life in some way. Well, we have some astoundingly seemingly 363 00:25:08,800 --> 00:25:12,800 Speaker 1: good news on the cancer front, which doesn't happen very often, 364 00:25:13,520 --> 00:25:17,560 Speaker 1: and it comes to us via a single study, a 365 00:25:17,680 --> 00:25:21,760 Speaker 1: very small clinical trial. But there's there's silver in this lining, 366 00:25:21,880 --> 00:25:25,080 Speaker 1: and let's let's talk about it in this rectal lining. 367 00:25:25,200 --> 00:25:30,600 Speaker 1: I'm sorry we are going to be talking about rectum's. 368 00:25:31,200 --> 00:25:35,639 Speaker 1: Just prepare yourselves. It's fine, everybody listening. We don't need 369 00:25:35,680 --> 00:25:39,400 Speaker 1: to warn you a rectum is a butt. That's okay. Look, 370 00:25:40,680 --> 00:25:44,320 Speaker 1: I know you're riding in the car with your mom. Uh, 371 00:25:44,600 --> 00:25:47,040 Speaker 1: she thinks butts are funny too. It's totally fine. She 372 00:25:47,080 --> 00:25:49,560 Speaker 1: She may not tell you, but butts are. Butts are funny. 373 00:25:50,400 --> 00:25:54,080 Speaker 1: Cancer is not. So let's talk about this. Let's start 374 00:25:54,160 --> 00:25:57,520 Speaker 1: with NBC New York. The title of an article is 375 00:25:58,520 --> 00:26:04,119 Speaker 1: NYC cancer trial delivers quote unheard of result, complete remission 376 00:26:04,280 --> 00:26:09,760 Speaker 1: for everyone. This was posted June six two, that is, 377 00:26:09,800 --> 00:26:14,320 Speaker 1: two days prior to us recording this. It's incredible. A 378 00:26:14,400 --> 00:26:19,080 Speaker 1: group of people, twelve individuals who were suffering from cancer, 379 00:26:19,600 --> 00:26:24,080 Speaker 1: took a new drug. They took it for six months, 380 00:26:24,520 --> 00:26:29,280 Speaker 1: administered every three weeks, and when they finished taking those 381 00:26:29,359 --> 00:26:32,639 Speaker 1: drugs for six months, they were looked at for an 382 00:26:32,680 --> 00:26:36,200 Speaker 1: additional six month period by the people running this trial. 383 00:26:36,840 --> 00:26:38,560 Speaker 1: And at the end of that time, they were all 384 00:26:38,600 --> 00:26:42,920 Speaker 1: tested in various ways, all the ways you would pet scans, 385 00:26:43,119 --> 00:26:46,159 Speaker 1: m r s, and all kinds of other ways, and 386 00:26:46,240 --> 00:26:49,679 Speaker 1: in all twelve patients who were a part of this study, 387 00:26:50,480 --> 00:26:54,399 Speaker 1: no cancer was found. They were all suffering from a 388 00:26:54,480 --> 00:27:01,080 Speaker 1: very specific type of colorectal cancer that had a specific mutation. Uh, 389 00:27:01,119 --> 00:27:05,959 Speaker 1: but my goodness, you guys, a drug cured people of cancer. 390 00:27:06,480 --> 00:27:10,200 Speaker 1: At least that's the way it seems according to the 391 00:27:10,640 --> 00:27:13,639 Speaker 1: small number of people, the small sample size that was 392 00:27:13,760 --> 00:27:17,040 Speaker 1: used in this study. As it currently stands. I'm gonna 393 00:27:17,119 --> 00:27:20,280 Speaker 1: jump over quickly to the New England Journal of Medicine 394 00:27:20,280 --> 00:27:23,920 Speaker 1: just to give you some of the cold heart facts 395 00:27:23,960 --> 00:27:26,200 Speaker 1: about this and you can read this as well. Good 396 00:27:26,280 --> 00:27:29,040 Speaker 1: luck finding it by its actual title, because the title 397 00:27:29,160 --> 00:27:34,400 Speaker 1: is p D one blockade in mismatch repair deficient locally 398 00:27:34,440 --> 00:27:38,280 Speaker 1: advanced rectal cancer. Oh, it's an important title. It's the 399 00:27:38,320 --> 00:27:40,520 Speaker 1: thing is and I know we're going to get to it. 400 00:27:40,560 --> 00:27:45,679 Speaker 1: But the reason that sounds so specific and coveatted is 401 00:27:45,760 --> 00:27:50,240 Speaker 1: because it needs to be as you say it is. Yeah, 402 00:27:50,320 --> 00:27:54,719 Speaker 1: it very much is. Um. But this this article is 403 00:27:55,640 --> 00:28:00,320 Speaker 1: worth reading. It is widely linked on you. You can 404 00:28:00,359 --> 00:28:04,639 Speaker 1: read the abstract. You might need to put a little 405 00:28:04,680 --> 00:28:09,000 Speaker 1: more legwork into reading the full thing. Yes, there there 406 00:28:09,000 --> 00:28:12,919 Speaker 1: actually is quite a bit of leg work to understand this. Um. 407 00:28:13,000 --> 00:28:16,280 Speaker 1: Let me just read from the abstract of this in 408 00:28:16,359 --> 00:28:19,080 Speaker 1: the results section, just so we all are on the 409 00:28:19,119 --> 00:28:22,600 Speaker 1: same page. Here, a total of twelve patients have completed 410 00:28:22,600 --> 00:28:26,280 Speaker 1: the treatment with this drug. It is titled doe star 411 00:28:26,440 --> 00:28:29,439 Speaker 1: lim ab d O s t a r l I 412 00:28:29,760 --> 00:28:33,240 Speaker 1: m a b as a drug that was created by 413 00:28:33,280 --> 00:28:37,800 Speaker 1: Glaxo Smith Klein, one of the giants in the pharmaceutical industry. 414 00:28:38,360 --> 00:28:43,360 Speaker 1: The patients underwent six months of follow up after going 415 00:28:43,400 --> 00:28:48,680 Speaker 1: through this treatment, and all patients had a clinical this 416 00:28:48,760 --> 00:28:51,600 Speaker 1: is a good quote, had a clinical complete response with 417 00:28:51,640 --> 00:28:56,520 Speaker 1: no evidence of tumor on m r I imaging on 418 00:28:57,760 --> 00:29:02,360 Speaker 1: p et positron emission tomorrow, a graphy and descopic evaluation, 419 00:29:02,480 --> 00:29:06,719 Speaker 1: digital rectal examination or biopsy. So literally zero. It's not 420 00:29:06,760 --> 00:29:10,240 Speaker 1: like they just went, oh, hey, no cancer. They looked 421 00:29:10,240 --> 00:29:13,720 Speaker 1: for that cancer and they could not find it. That's huge. 422 00:29:14,160 --> 00:29:18,920 Speaker 1: It also states that when this report was released, which 423 00:29:18,920 --> 00:29:21,680 Speaker 1: was on June five, only three days prior to US 424 00:29:21,720 --> 00:29:25,880 Speaker 1: recording this uh, they say that no patients had received 425 00:29:26,640 --> 00:29:30,920 Speaker 1: like chemotherapy or undergone surgery, and no cases of progression 426 00:29:31,080 --> 00:29:34,160 Speaker 1: or recurrence had been reported during the follow up. That's 427 00:29:34,360 --> 00:29:37,120 Speaker 1: six months. Oh. It says there's a range here of 428 00:29:37,160 --> 00:29:41,120 Speaker 1: six to twenty five months for some of the patients. 429 00:29:41,160 --> 00:29:46,280 Speaker 1: Six months being the the the minimar end, right, the minimum. Yeah, 430 00:29:46,320 --> 00:29:48,920 Speaker 1: how do I forget the word minimum? Yeah? They're also 431 00:29:49,240 --> 00:29:52,160 Speaker 1: more importantly, I mean just as importantly, I would say 432 00:29:52,480 --> 00:29:57,520 Speaker 1: there were no severe side effects, which means, like to 433 00:29:58,000 --> 00:30:04,120 Speaker 1: harp on that a bit um. There are many, many drugs, medicines, 434 00:30:04,160 --> 00:30:08,440 Speaker 1: and treatments for any number of human conditions that can 435 00:30:09,080 --> 00:30:15,600 Speaker 1: address that root problem while creating other problems along the way, 436 00:30:16,120 --> 00:30:20,120 Speaker 1: and this specific treatment doesn't seem to have that drawback. 437 00:30:20,760 --> 00:30:24,080 Speaker 1: That's only one of the one of the reasons that 438 00:30:24,560 --> 00:30:27,960 Speaker 1: so many scientists and experts in their field are calling 439 00:30:28,000 --> 00:30:33,360 Speaker 1: this unheard of and unprecedented. That's not hyperbolee, folks. This 440 00:30:33,560 --> 00:30:38,920 Speaker 1: has not happened before. Yep, it's not happened before. And Ben, 441 00:30:39,000 --> 00:30:41,400 Speaker 1: you brought something up. This is you know, it sounds 442 00:30:41,440 --> 00:30:45,840 Speaker 1: like such a small clinical trial. Twelve individual patients, there 443 00:30:45,880 --> 00:30:48,160 Speaker 1: are more correct. When we were we were looking up 444 00:30:48,200 --> 00:30:50,520 Speaker 1: some of the reporting was a bit odd. Some people 445 00:30:50,520 --> 00:30:53,880 Speaker 1: were stating eighteen patients. Some people are stating twelve patients. 446 00:30:53,880 --> 00:30:57,400 Speaker 1: Some are saying more than that. Uh, including the New 447 00:30:57,480 --> 00:30:59,960 Speaker 1: York Times. I believe they quoted eighteen patients, But then 448 00:31:00,040 --> 00:31:03,600 Speaker 1: the actual journal quotes twelve patients. What did we find. 449 00:31:03,920 --> 00:31:08,480 Speaker 1: We found that this is an ongoing trial, so all 450 00:31:08,520 --> 00:31:11,920 Speaker 1: the like, if you look at the patients all told, 451 00:31:12,320 --> 00:31:16,120 Speaker 1: then Ultimately the number is supposed to hit thirty patients. 452 00:31:16,560 --> 00:31:19,000 Speaker 1: I think that was the plan from the jump, but 453 00:31:20,920 --> 00:31:24,320 Speaker 1: I guess the results were so spectacular that they wanted 454 00:31:24,400 --> 00:31:27,160 Speaker 1: to share this immediately and get the eyes of their 455 00:31:27,160 --> 00:31:31,959 Speaker 1: colleagues and peers on on this because it's fascinating and 456 00:31:32,040 --> 00:31:35,400 Speaker 1: it's it's good news in a area of medicine that 457 00:31:35,600 --> 00:31:40,520 Speaker 1: sorely needs good news. And to underline how big a 458 00:31:40,600 --> 00:31:44,200 Speaker 1: deal this is, even with all the caveats, let's I 459 00:31:44,240 --> 00:31:47,120 Speaker 1: think we can just throw a quick stat out everyone's way. 460 00:31:47,800 --> 00:31:52,520 Speaker 1: If you look at the National Cancer Institute and you 461 00:31:52,680 --> 00:31:56,200 Speaker 1: factor in all the variables, all the different types of cancer, 462 00:31:56,680 --> 00:32:02,440 Speaker 1: all the different genetic factors, people's individual life decisions, environmental contaminations, 463 00:32:02,520 --> 00:32:07,160 Speaker 1: so on the ultimate lifetime risk, the ultimate chance of 464 00:32:07,360 --> 00:32:13,240 Speaker 1: you getting cancer sometime in your life is about thirty 465 00:32:13,360 --> 00:32:17,360 Speaker 1: seven point five percent to forty two point zero five, 466 00:32:18,640 --> 00:32:21,840 Speaker 1: no matter how clean you're trying to live, no matter 467 00:32:22,000 --> 00:32:27,280 Speaker 1: how cancer free your genetic predisposition. Maybe the fact of 468 00:32:27,320 --> 00:32:29,400 Speaker 1: the matter is the odds are higher than you think. 469 00:32:32,760 --> 00:32:38,680 Speaker 1: I know. So that's why these kinds of revolutionary treatments, 470 00:32:38,760 --> 00:32:43,480 Speaker 1: these new drugs, are so important. It really is. And 471 00:32:43,520 --> 00:32:45,600 Speaker 1: with that We're going to take a quick break here 472 00:32:45,640 --> 00:32:55,240 Speaker 1: from a sponsor and we will be right back. And 473 00:32:55,480 --> 00:32:58,600 Speaker 1: we've returned. Let's just let's dump more into what the 474 00:32:58,680 --> 00:33:01,720 Speaker 1: drug actually does. In a few were facts about this study. 475 00:33:01,960 --> 00:33:04,480 Speaker 1: I'm going to jump to n d t V. They've 476 00:33:04,520 --> 00:33:08,239 Speaker 1: got a quick little article here titled ten points on 477 00:33:08,400 --> 00:33:12,240 Speaker 1: dos star lam Ab, the weird drug title that cured 478 00:33:12,560 --> 00:33:17,360 Speaker 1: cancer patients. This this study was conducted at the Memorial 479 00:33:17,400 --> 00:33:21,840 Speaker 1: Sloan Kettering Cancer Center in Manhattan, United States. That's where 480 00:33:21,840 --> 00:33:24,920 Speaker 1: it actually occurred. All of those patients that we've talked 481 00:33:24,920 --> 00:33:27,640 Speaker 1: about had a very specific type of cancer. We talked 482 00:33:27,640 --> 00:33:31,760 Speaker 1: about that. It's uh, they also were at a specific 483 00:33:31,800 --> 00:33:37,000 Speaker 1: stage of cancer originated in the rectum and it had 484 00:33:37,080 --> 00:33:40,479 Speaker 1: spread in some cases only to a few lymphs like 485 00:33:40,560 --> 00:33:43,200 Speaker 1: lymph nodes within that section of the body. But it 486 00:33:43,200 --> 00:33:47,600 Speaker 1: had not spread further into their body. So it was localized, right, 487 00:33:48,040 --> 00:33:51,920 Speaker 1: The cancer that was being treated wasn't throughout the body um. 488 00:33:52,160 --> 00:33:57,040 Speaker 1: That's that's an important fact. This this medicine that was 489 00:33:57,120 --> 00:34:00,880 Speaker 1: given every three weeks for the period. According to the 490 00:34:00,960 --> 00:34:07,840 Speaker 1: New York Times, it costs around eleven thousand dollars per dose, 491 00:34:09,200 --> 00:34:12,360 Speaker 1: So think about that what if we did find the 492 00:34:12,360 --> 00:34:16,279 Speaker 1: cure for cancer, but absolutely ten people in the world 493 00:34:16,280 --> 00:34:20,520 Speaker 1: could afford it, what I mean what I don't know 494 00:34:20,560 --> 00:34:22,960 Speaker 1: how it would work, if it was prescribed, and how 495 00:34:23,200 --> 00:34:25,799 Speaker 1: insurance would work for this drug or anything like that, 496 00:34:25,880 --> 00:34:30,600 Speaker 1: but that seems like a steep price. Also, we have 497 00:34:30,640 --> 00:34:37,759 Speaker 1: to remember, because this research is ongoing, the results are unprecedented. Right, 498 00:34:38,120 --> 00:34:41,040 Speaker 1: these scientists did look at those cancer cells and say 499 00:34:41,120 --> 00:34:44,960 Speaker 1: ha ha hashtag w rectum. But they did not I know. 500 00:34:45,040 --> 00:34:48,560 Speaker 1: I'm sorry, but I know, I know, I know, but 501 00:34:49,280 --> 00:34:54,239 Speaker 1: they didn't. They don't have confirmation that this is a 502 00:34:54,280 --> 00:34:57,920 Speaker 1: lifetime elimination, you know what I mean, the difference between 503 00:34:58,000 --> 00:35:02,279 Speaker 1: cure and remission. So it's possible. Again, no one knows. 504 00:35:02,480 --> 00:35:06,560 Speaker 1: It's possible that there may be a situation where that 505 00:35:06,719 --> 00:35:12,120 Speaker 1: specific cancer returns and one has to undergo this treatment 506 00:35:12,160 --> 00:35:15,480 Speaker 1: regiment or a similar regimen at some point in the future, 507 00:35:15,520 --> 00:35:18,880 Speaker 1: maybe a decade hence or something. We we just don't know. 508 00:35:19,000 --> 00:35:25,040 Speaker 1: But still again, sorely needed good news. Oh yeah, sorely needed, dude. 509 00:35:25,800 --> 00:35:28,400 Speaker 1: Just on the drug itself. This is stuff I don't understand. 510 00:35:28,400 --> 00:35:32,560 Speaker 1: I'm gonna much like the scientific reporting done in places 511 00:35:32,600 --> 00:35:35,200 Speaker 1: across the internet, I'm going to regurgitate some stuff that 512 00:35:35,280 --> 00:35:38,200 Speaker 1: I just read that I don't fully understand, and I 513 00:35:38,280 --> 00:35:41,240 Speaker 1: need a you know, a scientist or someone who actually 514 00:35:41,320 --> 00:35:44,239 Speaker 1: reads these things and understands these things too to tell 515 00:35:44,239 --> 00:35:49,800 Speaker 1: me what they mean. But this dose starlam mab, according 516 00:35:49,800 --> 00:35:55,320 Speaker 1: to NBC New York, it is a monoclonal antibody, which 517 00:35:55,400 --> 00:35:59,640 Speaker 1: is antibodies like the ones that we have within our selves, 518 00:35:59,680 --> 00:36:03,319 Speaker 1: within our working, functional human bodies to fight illness. These 519 00:36:03,320 --> 00:36:06,680 Speaker 1: are things that go through and we'll we'll kill the 520 00:36:06,680 --> 00:36:10,080 Speaker 1: bad stuff theoretically that shouldn't be in our bodies. Well, 521 00:36:10,120 --> 00:36:14,799 Speaker 1: this is a lab made version of that, and they 522 00:36:14,840 --> 00:36:19,600 Speaker 1: are lab designed to fight specific things that the body finds. 523 00:36:19,640 --> 00:36:24,200 Speaker 1: But also, interestingly enough, at least according to NBC New York, uh, 524 00:36:24,520 --> 00:36:28,959 Speaker 1: this substance, the just starlam mab, it in a way 525 00:36:29,040 --> 00:36:33,359 Speaker 1: turns on the the immune system itself. So it's like 526 00:36:33,440 --> 00:36:37,799 Speaker 1: it activates your own antibodies that you've got going on 527 00:36:37,840 --> 00:36:40,759 Speaker 1: in your body already to fight the thing that's not 528 00:36:40,800 --> 00:36:44,560 Speaker 1: supposed to be in there, the cancer selves. Oh and uh, 529 00:36:44,880 --> 00:36:49,440 Speaker 1: but as someone who is also not an authority on 530 00:36:49,480 --> 00:36:53,240 Speaker 1: this in any way, I do want to point out, uh, 531 00:36:53,360 --> 00:36:55,799 Speaker 1: something we didn't hit on the title. I don't think 532 00:36:56,400 --> 00:37:01,239 Speaker 1: p D one reason that's yeah. Uh. That stands for 533 00:37:01,360 --> 00:37:05,400 Speaker 1: programmed death receptor, which is kind of mental for the 534 00:37:05,440 --> 00:37:08,600 Speaker 1: cancer cell itself, like it jumps on and it programs death. 535 00:37:08,640 --> 00:37:12,040 Speaker 1: It's like you're gonna die cancer. It is a program 536 00:37:12,160 --> 00:37:19,239 Speaker 1: death receptor one blocking monoclonal antibodies. So we're already in 537 00:37:19,280 --> 00:37:23,719 Speaker 1: deep water for us here, Matt, but I just too 538 00:37:23,760 --> 00:37:29,120 Speaker 1: deep but life saving, you know, especially considering I don't 539 00:37:29,200 --> 00:37:31,799 Speaker 1: I have a question for you regarding this. I don't 540 00:37:31,840 --> 00:37:38,200 Speaker 1: want to de relist, but does this have substantive significance 541 00:37:38,560 --> 00:37:43,279 Speaker 1: for um potential treatments of other forms of cancer in 542 00:37:43,320 --> 00:37:48,600 Speaker 1: the future. It's like it, but I don't know. Don't 543 00:37:48,640 --> 00:37:51,239 Speaker 1: ask me that kind of question because I can't answer it. 544 00:37:51,880 --> 00:37:54,840 Speaker 1: What I can do is send everybody over to YouTube 545 00:37:55,680 --> 00:37:59,640 Speaker 1: check out, and I apologize, sir if I'm not pronouncing 546 00:37:59,640 --> 00:38:04,680 Speaker 1: this correct. Clee Vene Prasad, who's a doctor, uh he has. 547 00:38:05,120 --> 00:38:08,400 Speaker 1: He's got a great video series where he breaks down 548 00:38:09,640 --> 00:38:13,440 Speaker 1: scientific studies, clinical trials, papers that come out like this 549 00:38:13,640 --> 00:38:17,080 Speaker 1: that are gobbledegook in many ways. To me, he does 550 00:38:17,120 --> 00:38:19,359 Speaker 1: a great job of breaking this kind of stuff down 551 00:38:19,719 --> 00:38:22,800 Speaker 1: and you. I would just recommend him in particular, but 552 00:38:22,840 --> 00:38:25,240 Speaker 1: there are also a lot of other YouTube channels and 553 00:38:25,640 --> 00:38:29,120 Speaker 1: you know, social media sites that can help you understand 554 00:38:29,160 --> 00:38:34,880 Speaker 1: this better. Uh as uh Dr Prasad did me um 555 00:38:34,880 --> 00:38:37,239 Speaker 1: when I say that, I still don't understand it, So 556 00:38:37,320 --> 00:38:43,080 Speaker 1: maybe you didn't do them the perfect job and you 557 00:38:43,120 --> 00:38:48,280 Speaker 1: at least help man, Thank you for helping, and thank 558 00:38:48,320 --> 00:38:53,560 Speaker 1: you for all of the fantastic work. I mean, explaining, 559 00:38:53,960 --> 00:38:57,120 Speaker 1: explaining the nuts and bolts of this is no mean feat. 560 00:38:57,239 --> 00:39:00,600 Speaker 1: It's not easy to do. Uh. And I I saw 561 00:39:00,719 --> 00:39:04,080 Speaker 1: that video as well, Matt, and I gotta I gotta say, 562 00:39:04,719 --> 00:39:08,000 Speaker 1: I don't think. I don't think it's on that YouTuber 563 00:39:08,040 --> 00:39:09,920 Speaker 1: At least in my case, it's on me for not 564 00:39:09,960 --> 00:39:14,200 Speaker 1: fully understanding. Oh no, no, for sure, it's it's come on, yeah, 565 00:39:14,360 --> 00:39:17,719 Speaker 1: I look, I passed all the necessary exams to get 566 00:39:17,760 --> 00:39:21,480 Speaker 1: a college degree. That doesn't mean I understand anything. And 567 00:39:21,520 --> 00:39:26,320 Speaker 1: also it was is an arts degree whatever? Uh who 568 00:39:27,040 --> 00:39:30,480 Speaker 1: so hey, let's hear it for a response rate in 569 00:39:30,600 --> 00:39:36,279 Speaker 1: twelve individuals. That sounds awesome. There's hopefully something there. Don't 570 00:39:36,320 --> 00:39:40,080 Speaker 1: get your hopes up yet because it is only twelve people. 571 00:39:41,280 --> 00:39:44,680 Speaker 1: But Glaxo Smith klin is definitely, you know, giving itself 572 00:39:44,719 --> 00:39:48,080 Speaker 1: a little slow clap, like, man, we did a really 573 00:39:48,160 --> 00:39:51,560 Speaker 1: great job buying that to sorrow company that that designed 574 00:39:51,600 --> 00:39:55,680 Speaker 1: to this drug a little while back. And also, you know, 575 00:39:55,800 --> 00:40:00,839 Speaker 1: from close up these sorts of breakthroughs can look like 576 00:40:00,960 --> 00:40:04,640 Speaker 1: they might be smaller than they are. Right, Cancer is 577 00:40:04,640 --> 00:40:09,680 Speaker 1: a killer, and there are many people listening. Many of 578 00:40:09,680 --> 00:40:14,040 Speaker 1: our fellow listeners today have battled cancer themselves, are battling 579 00:40:14,160 --> 00:40:17,680 Speaker 1: some form of cancer, have survived some form of cancer, 580 00:40:17,960 --> 00:40:20,920 Speaker 1: or almost doubtlessly have a loved one who has been 581 00:40:21,000 --> 00:40:24,960 Speaker 1: one of those situations. So we don't know how this 582 00:40:25,000 --> 00:40:28,480 Speaker 1: will work out, but it is quite possible that this 583 00:40:28,560 --> 00:40:33,160 Speaker 1: will lead to more improvements already, even in just that sphere, 584 00:40:33,200 --> 00:40:37,680 Speaker 1: you know, here's hoping that all eventually thirty strong members 585 00:40:38,040 --> 00:40:42,279 Speaker 1: of this trial will find themselves free of cancer at 586 00:40:42,320 --> 00:40:45,080 Speaker 1: the conclusion. And just to throw some more good news 587 00:40:45,160 --> 00:40:50,440 Speaker 1: out there, I was looking at some stats earlier before recorded, 588 00:40:50,840 --> 00:40:53,920 Speaker 1: and I didn't know this bet, but according to the 589 00:40:53,960 --> 00:40:58,680 Speaker 1: American Cancer Society, the risk of dying from cancer in 590 00:40:58,719 --> 00:41:03,840 Speaker 1: the US has actually decreased over the past twenty eight years. 591 00:41:04,080 --> 00:41:07,680 Speaker 1: So people are fighting the good fight. Guess awesome indeed 592 00:41:07,719 --> 00:41:11,560 Speaker 1: been blasting. Uh. You may see this drug if you 593 00:41:11,600 --> 00:41:13,840 Speaker 1: ever encounter it in your life, if you're being treated 594 00:41:13,840 --> 00:41:16,400 Speaker 1: for cancer, or anyone ever offers it to you, you 595 00:41:16,520 --> 00:41:20,560 Speaker 1: may see the drug titled as Jim Harley j E 596 00:41:20,800 --> 00:41:24,759 Speaker 1: M P A r l I. That is the the 597 00:41:24,880 --> 00:41:27,880 Speaker 1: brand name of the substance that was created by T. 598 00:41:28,000 --> 00:41:32,080 Speaker 1: Sorrow It's Massachusetts company that was acquired by Glaxo Smith 599 00:41:32,160 --> 00:41:36,839 Speaker 1: Klein a couple of years back in nineteen. Yes, yes, 600 00:41:37,800 --> 00:41:40,719 Speaker 1: I'm just laughing because I originally misread it as Jumanji, 601 00:41:41,320 --> 00:41:43,640 Speaker 1: and I thought, there's no no way they can get 602 00:41:43,680 --> 00:41:47,400 Speaker 1: ready with that. They're just releasing a whole bunch of 603 00:41:47,760 --> 00:41:52,160 Speaker 1: animals into your body. Um, that's what it is. There. Yeah, 604 00:41:52,200 --> 00:41:54,720 Speaker 1: there are tiny, tiny little animals that just get released 605 00:41:54,719 --> 00:41:59,440 Speaker 1: and there's attack the bad thing. It's perfect, so awesome though, 606 00:41:59,600 --> 00:42:03,359 Speaker 1: since early it's one of my favorite things about the 607 00:42:03,480 --> 00:42:07,640 Speaker 1: human species is that people are so intelligent and working 608 00:42:07,640 --> 00:42:11,640 Speaker 1: around the clock to help other people. And we'll leave it. 609 00:42:11,680 --> 00:42:14,279 Speaker 1: We'll just stop there. That was a good thought, man. 610 00:42:16,800 --> 00:42:19,560 Speaker 1: I so badly wanted to talk about Glaxo Smith Klein 611 00:42:19,800 --> 00:42:24,160 Speaker 1: and how much they spend on lobbying and the industry 612 00:42:24,200 --> 00:42:27,439 Speaker 1: and like it's bad man, and they're not the same 613 00:42:27,480 --> 00:42:32,360 Speaker 1: as the scientist. There there are no huge problems with 614 00:42:32,360 --> 00:42:36,799 Speaker 1: with any for profit pharmaceutical entity. I almost feel you 615 00:42:36,840 --> 00:42:39,439 Speaker 1: know what, I almost feel like you and I looked 616 00:42:39,480 --> 00:42:41,719 Speaker 1: at each other just for a second in silence on 617 00:42:41,760 --> 00:42:44,680 Speaker 1: this call and thought, maybe we'll give him a pass 618 00:42:44,719 --> 00:42:49,240 Speaker 1: today exactly what I was like, Oh, I'm not gonna 619 00:42:49,280 --> 00:42:51,719 Speaker 1: do it. I'm not gonna do it. I'm just gonna say, yep, 620 00:42:51,800 --> 00:42:55,239 Speaker 1: good people helping people. That's good. That's a happy Scientists 621 00:42:55,239 --> 00:42:58,799 Speaker 1: are great. The scientists are great. But in the end, 622 00:42:59,040 --> 00:43:01,719 Speaker 1: it's a company that spends My god, if you go 623 00:43:01,800 --> 00:43:04,799 Speaker 1: to open secrets dot org, that was just perusing there. 624 00:43:04,880 --> 00:43:07,279 Speaker 1: I tend to do that sometimes. If you look up 625 00:43:07,280 --> 00:43:11,360 Speaker 1: Glaxo Smith client, it's got from the year two to 626 00:43:11,920 --> 00:43:16,439 Speaker 1: oh wow, going back to nineteen all the money that 627 00:43:16,480 --> 00:43:21,280 Speaker 1: they have reported, like officially reported that they spend on lobbying, 628 00:43:21,880 --> 00:43:26,640 Speaker 1: and just this year so far they're paying venable lll 629 00:43:26,760 --> 00:43:32,280 Speaker 1: p FA, Greed Drinker at All W Strategies, Thorn Run Partners, 630 00:43:32,280 --> 00:43:37,600 Speaker 1: SIMS Strategies, JST Strategies, east End Group, Capital Council, b 631 00:43:37,760 --> 00:43:42,279 Speaker 1: GR Group, Alpine Group. We're talking fifty grand, sixty grand. 632 00:43:42,640 --> 00:43:44,640 Speaker 1: I mean, just every time all those people I mentioned, 633 00:43:44,640 --> 00:43:50,759 Speaker 1: just yeah, we're not going to give them a pass. 634 00:43:50,880 --> 00:43:56,319 Speaker 1: Let's also mention that h G. S K Glaxo Smith 635 00:43:56,400 --> 00:44:00,000 Speaker 1: client had to pay a fine of three billion dollars 636 00:44:00,040 --> 00:44:05,120 Speaker 1: layers to the US government for illegally promoting Paxel to 637 00:44:05,200 --> 00:44:09,279 Speaker 1: treat depression in children. Let's see what they also had 638 00:44:09,320 --> 00:44:14,359 Speaker 1: to be guilty and um into accounts of introducing other 639 00:44:14,440 --> 00:44:18,400 Speaker 1: misbranded drugs like well butrin. Their hands aren't clean, is 640 00:44:18,440 --> 00:44:22,440 Speaker 1: what we're saying. None of the pharmaceutical giants are and 641 00:44:22,520 --> 00:44:26,360 Speaker 1: it's the nature of what they do. And we're trying 642 00:44:26,360 --> 00:44:29,840 Speaker 1: to be nice right now. This is us being nice. 643 00:44:31,000 --> 00:44:39,760 Speaker 1: Uh so, uh twelve people, good for you. Awesome, Hopefully 644 00:44:39,760 --> 00:44:42,560 Speaker 1: thirty We just will keep our fingers crossed for the 645 00:44:42,560 --> 00:44:46,680 Speaker 1: rest of y'all. Um, Hopefully it becomes a drug that 646 00:44:46,800 --> 00:44:51,799 Speaker 1: doesn't cost eleven thousand dollars per pop. Hopefully don't die 647 00:44:51,920 --> 00:44:55,560 Speaker 1: for the crime of being poor, and which is you know, 648 00:44:56,040 --> 00:44:57,440 Speaker 1: I would say if you look at it in the 649 00:44:57,480 --> 00:44:59,959 Speaker 1: big picture, that is when the leading causes of death 650 00:45:00,280 --> 00:45:05,040 Speaker 1: in the US and arguably abroad. But there I think 651 00:45:05,120 --> 00:45:09,480 Speaker 1: we leave it for now. Folks, we cannot wait to 652 00:45:09,520 --> 00:45:15,240 Speaker 1: hear your thoughts. Is humanity on the precipice of finally 653 00:45:16,360 --> 00:45:20,600 Speaker 1: making terminal cancer a thing of the past. How do 654 00:45:20,680 --> 00:45:23,160 Speaker 1: you see this playing out? Do you think that it 655 00:45:23,200 --> 00:45:26,520 Speaker 1: will end up being a treatment reserved for the rich? 656 00:45:27,320 --> 00:45:30,520 Speaker 1: Do you think there are more variables ahead? What do 657 00:45:30,560 --> 00:45:34,239 Speaker 1: you wish more people in general knew about the Big Sea? 658 00:45:34,719 --> 00:45:38,760 Speaker 1: And then also tell us what you think about drones 659 00:45:39,280 --> 00:45:44,880 Speaker 1: with tasers attached operating wirelessly in your school or in 660 00:45:45,000 --> 00:45:48,200 Speaker 1: your children's school. Are you for it? Are you against it? 661 00:45:48,600 --> 00:45:51,440 Speaker 1: We want to hear your thoughts. Also, what's your take 662 00:45:51,480 --> 00:45:55,160 Speaker 1: on bees being fish? I think that's just really interesting 663 00:45:55,320 --> 00:45:58,520 Speaker 1: to both of us. Uh, we can't wait to hear 664 00:45:58,560 --> 00:46:01,960 Speaker 1: from you. Uh. Give us a shout over on the 665 00:46:02,000 --> 00:46:06,120 Speaker 1: internet where we're easy to find, Facebook, YouTube, and by 666 00:46:06,120 --> 00:46:09,000 Speaker 1: the way, yes we do check out all of those 667 00:46:09,040 --> 00:46:12,200 Speaker 1: social media platforms. I want to give a special thank 668 00:46:12,239 --> 00:46:16,040 Speaker 1: you and specific to our fellow conspiracy realist Justin Richards, 669 00:46:16,719 --> 00:46:21,280 Speaker 1: who it turned out, I think also also talked about 670 00:46:21,520 --> 00:46:25,000 Speaker 1: the taser drone plans on our Facebook page. Here's where 671 00:46:25,000 --> 00:46:29,040 Speaker 1: it gets crazy, and big, big thanks to everybody who 672 00:46:29,200 --> 00:46:34,520 Speaker 1: reached out to us regarding the sweepstakes for the book. 673 00:46:35,040 --> 00:46:39,480 Speaker 1: Congratulations and trempid conspiracy realist, We hope you enjoy it. 674 00:46:40,040 --> 00:46:42,719 Speaker 1: For everybody else who's saying I want to copy the book, well, 675 00:46:42,760 --> 00:46:45,040 Speaker 1: if you would like for us all to continue this 676 00:46:45,239 --> 00:46:48,160 Speaker 1: crazy endeavor together, then one of the best ways you 677 00:46:48,239 --> 00:46:50,680 Speaker 1: can help us, now, if you're able, is to go 678 00:46:50,840 --> 00:46:53,760 Speaker 1: pre order the book at stuff. You should read books 679 00:46:53,840 --> 00:46:56,960 Speaker 1: dot com. That's the spiel. I just have to do 680 00:46:57,000 --> 00:46:59,880 Speaker 1: it every time I see that Honda Odyssey slowly pulling 681 00:47:00,120 --> 00:47:04,239 Speaker 1: up past past my street as we record. But let's 682 00:47:04,239 --> 00:47:06,840 Speaker 1: say you don't you don't like sipping the social meets. 683 00:47:07,080 --> 00:47:10,439 Speaker 1: You heard our episodes and you said, nah, I get 684 00:47:10,440 --> 00:47:14,320 Speaker 1: it big data. If it's free, that means you're the product. Geez, 685 00:47:14,560 --> 00:47:16,520 Speaker 1: I can't get on the internet anymore. But I have 686 00:47:16,600 --> 00:47:19,920 Speaker 1: a story to tell you, Matt Pray, tell how can 687 00:47:19,960 --> 00:47:22,920 Speaker 1: people get in touch with us? Then? Well, just hop 688 00:47:23,000 --> 00:47:26,600 Speaker 1: on the Old Mayflower, which is not the one you think. 689 00:47:27,000 --> 00:47:31,480 Speaker 1: It's an automated ship and it's recently sailed across the 690 00:47:31,560 --> 00:47:34,279 Speaker 1: seas to Canada because I had to make a weird 691 00:47:34,480 --> 00:47:37,400 Speaker 1: extra trip. But I was just thinking about that. Because 692 00:47:37,400 --> 00:47:40,359 Speaker 1: we're talking about drones, Well, they fly through the air 693 00:47:40,400 --> 00:47:43,480 Speaker 1: with tasers. What if there are ships that are automated 694 00:47:44,000 --> 00:47:46,840 Speaker 1: drones that run on AI and they're just floating around, 695 00:47:47,719 --> 00:47:54,200 Speaker 1: except they've got cannons. Oh boy, anyway, call us. Our 696 00:47:54,280 --> 00:47:57,279 Speaker 1: number is one eight three three std W y t K. 697 00:47:57,640 --> 00:47:59,840 Speaker 1: Tell us about all the things that we've been saying 698 00:48:00,080 --> 00:48:03,600 Speaker 1: this episode. Give us your thoughts. Please, please, please, We're 699 00:48:03,640 --> 00:48:06,880 Speaker 1: making our way through. We've still got a ways to go, 700 00:48:07,400 --> 00:48:10,160 Speaker 1: but we want to hear from you regardless, we will 701 00:48:10,200 --> 00:48:13,359 Speaker 1: hear from you. When you call in. Give yourself a 702 00:48:13,360 --> 00:48:15,640 Speaker 1: cool name, whatever you want it to be, it doesn't matter. 703 00:48:16,239 --> 00:48:18,640 Speaker 1: Please within the message, let us know if we can 704 00:48:18,760 --> 00:48:22,320 Speaker 1: use your name and message on the air. And remember 705 00:48:22,360 --> 00:48:24,440 Speaker 1: that you only have three minutes when you call in. 706 00:48:24,520 --> 00:48:26,920 Speaker 1: It cuts you off after three minutes, so if you've 707 00:48:26,920 --> 00:48:29,360 Speaker 1: got more to say they can fit in that timeframe. 708 00:48:29,440 --> 00:48:32,520 Speaker 1: Why not instead send us a good old fashioned email. 709 00:48:32,880 --> 00:48:55,160 Speaker 1: We are conspiracy at i heart radio dot com. Stuff 710 00:48:55,239 --> 00:48:57,120 Speaker 1: they don't want you to know is a production of 711 00:48:57,160 --> 00:49:00,000 Speaker 1: I heart Radio. For more podcasts from my heart Radio, 712 00:49:00,040 --> 00:49:02,719 Speaker 1: you visit the i heart Radio app, Apple Podcasts, or 713 00:49:02,719 --> 00:49:04,480 Speaker 1: wherever you listen to your favorite shows.