1 00:00:00,200 --> 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 00:00:09,160 --> 00:00:12,119 Speaker 1: learn this stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:19,760 Speaker 1: production of iHeartRadio. 5 00:00:26,720 --> 00:00:28,560 Speaker 2: Hello, welcome back to the show. 6 00:00:28,640 --> 00:00:30,880 Speaker 3: My name is Matt, my name is Noah. 7 00:00:31,080 --> 00:00:34,000 Speaker 4: They called me Ben. We are joined as always with 8 00:00:34,080 --> 00:00:37,840 Speaker 4: our super producer Dylan the Tennessee pal Fagan. Most importantly, 9 00:00:37,960 --> 00:00:41,360 Speaker 4: you argue you are here. That makes this the stuff 10 00:00:41,400 --> 00:00:44,040 Speaker 4: they don't want you to know. If you are joining 11 00:00:44,159 --> 00:00:48,199 Speaker 4: us the evening this listener mail program publishes, let us 12 00:00:48,280 --> 00:00:52,080 Speaker 4: be the first to welcome you to July twenty fourth. 13 00:00:52,479 --> 00:00:56,520 Speaker 4: It's happening, it's listener mail. We can't wait to share 14 00:00:56,560 --> 00:01:00,600 Speaker 4: some of your stories with our fellow listeners. Before we 15 00:01:00,680 --> 00:01:05,440 Speaker 4: do anything, guys, I think we have some housekeeping to do. 16 00:01:06,240 --> 00:01:11,720 Speaker 4: Remember several years ago, we were joking about a conspira cruise. 17 00:01:12,200 --> 00:01:15,640 Speaker 4: All these people were going on cruises and we, uh, 18 00:01:15,959 --> 00:01:18,320 Speaker 4: you know, we wanted to go on a cruise as well. 19 00:01:19,080 --> 00:01:22,440 Speaker 3: It's true I've never been on one. Ben, You're gonna, 20 00:01:22,480 --> 00:01:23,880 Speaker 3: you're gonna, You're gonna break the news. 21 00:01:23,959 --> 00:01:28,080 Speaker 4: So we have the breaking news. That's right, Dylan, Can 22 00:01:28,160 --> 00:01:31,400 Speaker 4: we get pre rude Bake, can we get a breaking 23 00:01:31,480 --> 00:01:37,240 Speaker 4: news sound cube. We don't have all the details yet, 24 00:01:37,600 --> 00:01:42,200 Speaker 4: but uh, stay tuned because it looks like Susan Bullen's 25 00:01:42,200 --> 00:01:45,800 Speaker 4: second favorite podcast may be going to the high seas. Uh. 26 00:01:45,840 --> 00:01:50,880 Speaker 4: For now, we are going to explore things around the world. 27 00:01:50,960 --> 00:01:53,720 Speaker 4: We're gonna talk about the weather in a couple of 28 00:01:53,800 --> 00:01:57,720 Speaker 4: different ways. We're going to talk about decoys, which is 29 00:01:57,880 --> 00:01:59,800 Speaker 4: just the way I say decoys. Now for some of 30 00:01:59,840 --> 00:02:02,800 Speaker 4: you saying, uh, we're gonna bust some myths that came 31 00:02:02,880 --> 00:02:05,920 Speaker 4: up in previous episodes, We're gonna have flares of a 32 00:02:05,960 --> 00:02:10,040 Speaker 4: solar variety. But before we do any of that, because 33 00:02:10,160 --> 00:02:14,120 Speaker 4: this is listener Mail, we proudly present from Rudabagas. 34 00:02:15,840 --> 00:02:18,480 Speaker 2: Thanks to Rudabakos, I've gotten my life back on track. 35 00:02:19,560 --> 00:02:22,560 Speaker 3: Ask your doctor of Rudabakos is right for you. Rudabas 36 00:02:22,600 --> 00:02:25,720 Speaker 3: may cause spontaneous podcasting more an urge to take up Rudabagos. 37 00:02:26,000 --> 00:02:28,080 Speaker 4: Consult your doctor at these symptoms last for more than 38 00:02:28,120 --> 00:02:30,960 Speaker 4: a link of a listener Mail episode. Thanks Rudabakos. 39 00:02:33,000 --> 00:02:35,680 Speaker 3: Just incredible, staggering. 40 00:02:35,840 --> 00:02:37,960 Speaker 2: Just put it on repeat, baby, that was incredible. 41 00:02:37,960 --> 00:02:49,639 Speaker 3: I got and we have returned with a message from you. Yes, you. 42 00:02:49,800 --> 00:02:53,680 Speaker 3: In this case, the message is the messenger. It's from 43 00:02:53,680 --> 00:02:56,639 Speaker 3: the messenger anyway, and that's what the messenger has to say. 44 00:02:56,720 --> 00:03:00,480 Speaker 3: Good day, fellow conspiracy realists. You are welcome to use 45 00:03:00,520 --> 00:03:04,239 Speaker 3: my message and pseudonym on the air. Thank you the Messenger. 46 00:03:04,639 --> 00:03:06,480 Speaker 3: First off, I wanted to say how much I appreciate 47 00:03:06,520 --> 00:03:08,520 Speaker 3: the show and all that you put into it. I 48 00:03:08,520 --> 00:03:11,320 Speaker 3: can always count on you to give objective, grounded information 49 00:03:11,480 --> 00:03:14,919 Speaker 3: on controversial topics. Thank you the Messenger. We do try 50 00:03:15,639 --> 00:03:18,240 Speaker 3: on your show. You often talk about the vilification of 51 00:03:18,280 --> 00:03:21,320 Speaker 3: recreational drug use. One thing doing I guess we do 52 00:03:21,400 --> 00:03:23,600 Speaker 3: maybe once. We try to be even handed about it. 53 00:03:23,639 --> 00:03:26,240 Speaker 3: Not maybe not. We're certainly not vilifying, but there are 54 00:03:26,440 --> 00:03:29,600 Speaker 3: those who do. One thing that was prevalent when I 55 00:03:29,639 --> 00:03:31,560 Speaker 3: was a teen was the concept that if you take 56 00:03:31,600 --> 00:03:36,480 Speaker 3: a psychedelic drug, that you could have a flashback at 57 00:03:36,480 --> 00:03:38,640 Speaker 3: any time in the future for any reasons, like a 58 00:03:38,720 --> 00:03:42,520 Speaker 3: random slip back into a psychedelic state without the catalyst 59 00:03:42,560 --> 00:03:45,160 Speaker 3: of a drug. I'm curious if there is any sand 60 00:03:45,240 --> 00:03:47,520 Speaker 3: to this. In my earlier years, I did acid a 61 00:03:47,560 --> 00:03:50,000 Speaker 3: few times. Later in life, I applied for a position 62 00:03:50,080 --> 00:03:53,200 Speaker 3: as an l EO, and Ben pointed out off, micat 63 00:03:53,320 --> 00:03:55,760 Speaker 3: is your Is this not your sign? That is a 64 00:03:55,880 --> 00:03:57,840 Speaker 3: law enforcement officer. I never heard it put that way 65 00:03:57,880 --> 00:04:01,720 Speaker 3: before and was immediately rejected because I was honest about 66 00:04:01,760 --> 00:04:05,240 Speaker 3: my past drug use. The interviewing officer basically told me 67 00:04:05,320 --> 00:04:09,280 Speaker 3: that because of the potential for flashbacks, I was ineligible. 68 00:04:09,600 --> 00:04:12,520 Speaker 3: I've heard this is more urban myth than anything fact based, 69 00:04:12,560 --> 00:04:14,880 Speaker 3: and I was hoping that you could shed some light 70 00:04:14,960 --> 00:04:18,320 Speaker 3: on this. I think this is probably something that all 71 00:04:18,360 --> 00:04:20,440 Speaker 3: three of us have a thing or two to say 72 00:04:20,440 --> 00:04:23,800 Speaker 3: about and have has crossed our desks over the years. 73 00:04:23,920 --> 00:04:28,479 Speaker 3: Certainly was something that was used in the preaching of 74 00:04:28,600 --> 00:04:32,800 Speaker 3: drug abstinence through the popular DARE program of the nineteen 75 00:04:32,880 --> 00:04:36,039 Speaker 3: nineties that I think all of us were probably students 76 00:04:36,080 --> 00:04:40,120 Speaker 3: of where you would have sometimes a scared straight type 77 00:04:40,160 --> 00:04:42,440 Speaker 3: situation where you'd have like a former drug addict come 78 00:04:42,480 --> 00:04:44,880 Speaker 3: to your school and talk to you. Maybe that was 79 00:04:45,000 --> 00:04:49,120 Speaker 3: just my school, but I distinctly remember a former meth 80 00:04:49,240 --> 00:04:52,680 Speaker 3: user coming to my school and describing the day he 81 00:04:52,720 --> 00:04:56,320 Speaker 3: realized he'd gone beyond the pale when he looked at 82 00:04:56,400 --> 00:04:59,479 Speaker 3: himself in the mirror and saw a skeleton staring back 83 00:04:59,480 --> 00:05:02,520 Speaker 3: at him, and in my childish brain, I thought that 84 00:05:02,600 --> 00:05:06,039 Speaker 3: was really scary that all of a sudden, his reflection 85 00:05:06,120 --> 00:05:08,680 Speaker 3: in the mirror was a spooky skeleton. I did not 86 00:05:08,760 --> 00:05:12,040 Speaker 3: understand that he was describing an a macy appearance. 87 00:05:12,320 --> 00:05:16,760 Speaker 4: The symbol of the figurative language right was lost in translation. 88 00:05:17,200 --> 00:05:20,599 Speaker 4: I loved Dare. You guys know I'm a sucker for propaganda. 89 00:05:21,680 --> 00:05:23,920 Speaker 4: I'm so vulnerable to it. I'm the kind of guy 90 00:05:23,960 --> 00:05:26,719 Speaker 4: who will be driving and I'll hear an advertisement for 91 00:05:26,760 --> 00:05:29,720 Speaker 4: a whopper, and i will take them at faith value, 92 00:05:29,839 --> 00:05:33,320 Speaker 4: and I'll be like, oh wow, not face value, faith value, 93 00:05:33,560 --> 00:05:35,839 Speaker 4: Oh wow, when's the last time I had a whopper? 94 00:05:36,000 --> 00:05:41,240 Speaker 4: And then boom, I'm there. I won multiple Dare Awards 95 00:05:41,440 --> 00:05:44,920 Speaker 4: for writing essays, and then, like so many other Dare kids, 96 00:05:45,400 --> 00:05:49,159 Speaker 4: new judgment folks, I went down the sith lord path 97 00:05:49,720 --> 00:05:52,880 Speaker 4: pretty quick, because they teach you how to do it. 98 00:05:53,240 --> 00:05:55,440 Speaker 3: They teach you how to do it. They present you've 99 00:05:55,480 --> 00:05:59,080 Speaker 3: talked about this with this, like fake prop food. 100 00:05:58,960 --> 00:06:05,159 Speaker 4: Drug tribes, triple thing, like make a science project super odd. 101 00:06:05,279 --> 00:06:07,880 Speaker 3: I actually I have a Dare t shirt that I 102 00:06:07,920 --> 00:06:10,159 Speaker 3: got at a thrift recently, and somebody was asking me 103 00:06:10,160 --> 00:06:12,640 Speaker 3: about it at a coffee shop that said, uh something 104 00:06:12,680 --> 00:06:15,360 Speaker 3: about keeping your kids off drugs, but great logo. There 105 00:06:15,400 --> 00:06:20,760 Speaker 3: was even a video game associated with the Presidential Program 106 00:06:20,839 --> 00:06:22,680 Speaker 3: for Drug Absence. I'm not getting the name right, but 107 00:06:22,680 --> 00:06:25,560 Speaker 3: it was a game called Narc. You guys remember the 108 00:06:25,640 --> 00:06:27,239 Speaker 3: Cabinet arcade game Narc. 109 00:06:27,880 --> 00:06:32,000 Speaker 2: I do, Wow. I really liked that game. Hmm. 110 00:06:32,200 --> 00:06:33,080 Speaker 3: It was propaganda. 111 00:06:33,200 --> 00:06:37,240 Speaker 2: That's strange. I wonder why because I listened to my 112 00:06:37,480 --> 00:06:41,160 Speaker 2: dare instructors and I followed their very rules and order, 113 00:06:41,520 --> 00:06:46,159 Speaker 2: and I followed them until this day. Guys. I continue 114 00:06:46,200 --> 00:06:48,800 Speaker 2: to dare to keep myself off drugs. 115 00:06:49,360 --> 00:06:53,120 Speaker 5: To keep a kid off drugs, dare to give a 116 00:06:53,240 --> 00:06:57,760 Speaker 5: kid some hope, A banger dude step aside DJ College 117 00:06:57,920 --> 00:06:58,840 Speaker 5: or the Rebix. 118 00:06:59,720 --> 00:07:01,760 Speaker 4: I was that the Talent Show too amazing? 119 00:07:02,480 --> 00:07:04,120 Speaker 2: You should have been and I hope you won. 120 00:07:04,120 --> 00:07:08,120 Speaker 3: Sir, y'all. I gotta say I might be misremembering. I 121 00:07:08,200 --> 00:07:10,720 Speaker 3: swear there was a video game that had a tie 122 00:07:10,760 --> 00:07:13,720 Speaker 3: in for like an anti drug propaganda thing, and I 123 00:07:13,760 --> 00:07:16,440 Speaker 3: thought it was Nark. And in my mind, I'm picturing 124 00:07:16,680 --> 00:07:21,240 Speaker 3: like a like an image before the game started of 125 00:07:21,280 --> 00:07:25,200 Speaker 3: like an anti drug kind of campaign. But maybe I'm 126 00:07:25,320 --> 00:07:26,880 Speaker 3: I'm not seeing anything of the game. 127 00:07:27,800 --> 00:07:31,560 Speaker 2: The term the game. Yeah, like I was right, Yes, 128 00:07:32,320 --> 00:07:36,480 Speaker 2: it's NARC nineteen eighty eight. Right, it's a run and gun. 129 00:07:36,760 --> 00:07:38,800 Speaker 2: It was fantastic you had. 130 00:07:38,680 --> 00:07:41,240 Speaker 3: Made by midway, brought mortal combat. 131 00:07:42,200 --> 00:07:45,120 Speaker 4: It had the military type face with a blood splashed 132 00:07:45,120 --> 00:07:46,960 Speaker 4: across it, very apoposed. 133 00:07:47,120 --> 00:07:49,840 Speaker 3: Now, I'm not questioning the existence of the game. I'm 134 00:07:49,880 --> 00:07:55,400 Speaker 3: just questioning my memory of it having a propagandistic approach. 135 00:07:55,520 --> 00:07:57,600 Speaker 3: And it did say have a say not to drugs 136 00:07:57,680 --> 00:07:59,480 Speaker 3: campaign slide at the beginning. 137 00:07:59,680 --> 00:08:02,080 Speaker 4: Maybe winnersn't use drugs. That was on a lot of 138 00:08:02,280 --> 00:08:03,000 Speaker 4: RKA games. 139 00:08:03,120 --> 00:08:05,800 Speaker 3: It was, and so maybe in my mind I associated 140 00:08:05,840 --> 00:08:07,960 Speaker 3: this with more than it was. But that's neither here 141 00:08:07,960 --> 00:08:10,120 Speaker 3: nor there. What we are talking about today is the 142 00:08:10,200 --> 00:08:14,320 Speaker 3: question of whether an acid flashback is a real thing, 143 00:08:14,640 --> 00:08:17,120 Speaker 3: and whether that is, If it is a real thing, 144 00:08:17,320 --> 00:08:21,200 Speaker 3: isn't the product of some physical trace of the chemical 145 00:08:21,520 --> 00:08:24,680 Speaker 3: that remains in the body. The urban legend part of it. 146 00:08:24,840 --> 00:08:26,680 Speaker 3: All that I always remember is that it's stored in 147 00:08:26,720 --> 00:08:27,880 Speaker 3: your spinal fluid. 148 00:08:28,240 --> 00:08:32,240 Speaker 4: Oh, I remember that one. I don't think that is 149 00:08:32,800 --> 00:08:35,240 Speaker 4: all the way true, but I do know there is 150 00:08:35,280 --> 00:08:40,320 Speaker 4: some sand to it. Looking into this for reasons in 151 00:08:40,360 --> 00:08:46,599 Speaker 4: the past. It's called a hallucinogen persisting perception disorder or HPPD. 152 00:08:46,760 --> 00:08:51,800 Speaker 4: But I think it's obvious that not every person who 153 00:08:51,920 --> 00:08:58,199 Speaker 4: tries a hallucinogen or tries LSD will be automatically consigned 154 00:08:58,240 --> 00:09:00,000 Speaker 4: to having this disorder in the future. 155 00:09:00,679 --> 00:09:02,560 Speaker 3: No, Ben, and I bet you were looking at the 156 00:09:02,559 --> 00:09:07,120 Speaker 3: same study flashback phenomena after administration of LSD and psilocybin 157 00:09:07,120 --> 00:09:11,600 Speaker 3: and controlled studies with healthy participants. Also a banger, maybe 158 00:09:11,640 --> 00:09:14,080 Speaker 3: a psych rock band name a Little Long. I love 159 00:09:14,120 --> 00:09:16,719 Speaker 3: to workshop that one, but to read you the abstract. 160 00:09:16,720 --> 00:09:20,880 Speaker 3: This is from a cavalcade of excellent researchers and was 161 00:09:20,920 --> 00:09:25,440 Speaker 3: published in the National Library of Medicine National Center for 162 00:09:25,640 --> 00:09:29,640 Speaker 3: Biotechnology Information at Journal. And here's how it goes. LSD 163 00:09:29,679 --> 00:09:32,520 Speaker 3: and psiloicyber are increasingly used in phase one trials and 164 00:09:32,640 --> 00:09:36,040 Speaker 3: evaluated as therapeutic agents for mental disorder. So this is 165 00:09:36,080 --> 00:09:40,480 Speaker 3: like looking into this phenomenon in the context of how 166 00:09:40,520 --> 00:09:44,679 Speaker 3: will this affect therapeutic applications of these substances as they 167 00:09:44,679 --> 00:09:47,800 Speaker 3: become more and more prevalent. The phenomenon of recurring drug 168 00:09:47,960 --> 00:09:51,920 Speaker 3: like experiences after the acute substance effects have worn off 169 00:09:52,200 --> 00:09:55,360 Speaker 3: was described for both substances and especially attributed to LSD. 170 00:09:55,640 --> 00:09:59,280 Speaker 3: According to the DSM five the persisting and distressing manifestation 171 00:09:59,400 --> 00:10:02,600 Speaker 3: of these experience this is called hallucinogen persisting perceptionist order 172 00:10:02,800 --> 00:10:07,640 Speaker 3: or HPPD. Data on both conditions is very limited, so 173 00:10:07,800 --> 00:10:13,000 Speaker 3: this is them this study from twenty twenty two attempting 174 00:10:13,040 --> 00:10:14,680 Speaker 3: to kind of put a little more meat on the 175 00:10:14,679 --> 00:10:17,640 Speaker 3: bones of this urban legend may or may not be 176 00:10:18,120 --> 00:10:20,760 Speaker 3: urban legend. What they found was that thirteen out of 177 00:10:20,760 --> 00:10:24,200 Speaker 3: one hundred and forty two subjects reported recurring drug experiences 178 00:10:24,559 --> 00:10:31,320 Speaker 3: LSD seven, psilocybin two, and both four. The report of 179 00:10:31,320 --> 00:10:35,240 Speaker 3: phenomena were predominantly mild and perceived as neutral to pleasant. 180 00:10:35,840 --> 00:10:39,400 Speaker 3: Flashbacks were mostly of visual nature, lasted for seconds to minutes, 181 00:10:39,440 --> 00:10:42,160 Speaker 3: and occurred within a week after the last drug administration. 182 00:10:42,559 --> 00:10:48,040 Speaker 3: Two subjects reported distressing experiences that subsided spontaneously. One subject 183 00:10:48,080 --> 00:10:51,959 Speaker 3: reported brief and pleasant visual perception changes which occurred for 184 00:10:52,080 --> 00:10:56,040 Speaker 3: seven months. None of the subjects reported impairment in their 185 00:10:56,120 --> 00:10:59,599 Speaker 3: daily lives. None of the cases met DSM five criteria 186 00:11:00,080 --> 00:11:01,320 Speaker 3: for HPPD. 187 00:11:01,880 --> 00:11:07,760 Speaker 4: Yeah, this is interesting because as fellow hallucinots may recall, 188 00:11:08,480 --> 00:11:13,160 Speaker 4: LSD metabolizes so quickly in the human body that. 189 00:11:13,679 --> 00:11:14,920 Speaker 3: Doesn't drug tests. 190 00:11:15,000 --> 00:11:19,080 Speaker 4: Yeah, it's urine. Yeah, it's excreted in the urine within 191 00:11:19,400 --> 00:11:23,600 Speaker 4: like a day. You know. This is this is where 192 00:11:23,640 --> 00:11:30,280 Speaker 4: we see something fascinating because HPPD is linked to habitual 193 00:11:30,520 --> 00:11:34,360 Speaker 4: LSD use, but we know it is not due to 194 00:11:34,400 --> 00:11:38,040 Speaker 4: the build up of that molecule within the body, because 195 00:11:38,080 --> 00:11:40,480 Speaker 4: it leaves the body so quick. Your body is an 196 00:11:40,520 --> 00:11:43,199 Speaker 4: Airbnb for LSD. 197 00:11:43,280 --> 00:11:46,400 Speaker 3: Wow. An Airbnb for LSD is fun to say, Ben, 198 00:11:46,640 --> 00:11:50,400 Speaker 3: I do believe that you can detect LSD use in 199 00:11:50,440 --> 00:11:53,839 Speaker 3: a much more expensive hair follicle test. 200 00:11:54,440 --> 00:11:54,640 Speaker 4: Yeah. 201 00:11:54,640 --> 00:11:58,319 Speaker 3: I believe that's another thing that contributed to the urban 202 00:11:58,400 --> 00:12:01,880 Speaker 3: legend aspect of this substance remaining in the body, maybe 203 00:12:01,920 --> 00:12:04,920 Speaker 3: even in the form of like in your hair, and 204 00:12:04,960 --> 00:12:07,080 Speaker 3: then somehow it can just one day pop and boom, 205 00:12:07,160 --> 00:12:10,360 Speaker 3: you're back, you know, over the rainbow. I think we 206 00:12:10,400 --> 00:12:13,400 Speaker 3: can very safely say, Ben, with some certainty, that that 207 00:12:13,640 --> 00:12:17,160 Speaker 3: aspect is not true. However, results may vary as to 208 00:12:17,200 --> 00:12:21,240 Speaker 3: whether past psychedelic use may or may not come back 209 00:12:21,480 --> 00:12:23,760 Speaker 3: in some way, shape or form. It would seem from 210 00:12:23,760 --> 00:12:29,120 Speaker 3: this study not necessarily with the one hundred percent probability 211 00:12:29,160 --> 00:12:31,439 Speaker 3: of haunting you and ruining your life. 212 00:12:32,440 --> 00:12:36,520 Speaker 4: Yeah, scene setting, be careful, right, moderation in all things, 213 00:12:36,920 --> 00:12:40,640 Speaker 4: even moderation. Shout out dead pres and Dylan. This may 214 00:12:40,679 --> 00:12:45,640 Speaker 4: be new information to you, dear friend, because Tennessee has 215 00:12:46,160 --> 00:12:49,679 Speaker 4: disclose to us that quote for silly reasons. He did 216 00:12:49,720 --> 00:12:54,280 Speaker 4: not successfully graduate from Dare end quote. We got your back, man. 217 00:12:54,640 --> 00:12:57,160 Speaker 3: Well, was it a thing you graduated from? Did you 218 00:12:57,200 --> 00:12:59,640 Speaker 3: have to sign a pledge? You have to side a 219 00:12:59,679 --> 00:13:04,760 Speaker 3: pledge any questions? It varies state by state. I've got 220 00:13:04,760 --> 00:13:06,760 Speaker 3: the T shirt too. I love that T shirt. 221 00:13:06,920 --> 00:13:10,480 Speaker 4: But I remember you had to uh yeah, you had 222 00:13:10,520 --> 00:13:15,080 Speaker 4: to sign something right, like a promise that you understood 223 00:13:15,120 --> 00:13:18,000 Speaker 4: that you weren't going to do drugs. And then in 224 00:13:18,040 --> 00:13:21,280 Speaker 4: some schools you had to do a single long too. 225 00:13:21,679 --> 00:13:23,559 Speaker 4: Did you get did you have like the Dare Choir, 226 00:13:25,880 --> 00:13:28,080 Speaker 4: have the Dare acquire You would have been great at it. Man. 227 00:13:28,640 --> 00:13:34,000 Speaker 2: I just had Scruff McGruff Chicago, Illinois. 228 00:13:34,480 --> 00:13:39,880 Speaker 4: Remember remember remember when we did that story. I found 229 00:13:39,920 --> 00:13:42,480 Speaker 4: that story we were talking about Derek again. The one 230 00:13:42,480 --> 00:13:44,920 Speaker 4: of the actors, like the main actor who played Scruff, 231 00:13:45,280 --> 00:13:50,079 Speaker 4: got arrested on a bevy of charges. He had some 232 00:13:50,600 --> 00:13:53,600 Speaker 4: he had some high grade weaponry, had some high grade 233 00:13:53,640 --> 00:13:56,120 Speaker 4: weed as well. I don't know if he was in 234 00:13:56,160 --> 00:13:59,720 Speaker 4: the costume when he got arrested, but hope springs eternal. 235 00:14:00,160 --> 00:14:01,120 Speaker 2: They weren't going to use it. 236 00:14:01,120 --> 00:14:02,319 Speaker 3: It was in the evidence. 237 00:14:02,000 --> 00:14:05,640 Speaker 2: Locker, thank goodness. 238 00:14:06,000 --> 00:14:10,120 Speaker 3: Can you imagine scruff McGruff all hopped up on goofballs. Yes, 239 00:14:10,520 --> 00:14:13,760 Speaker 3: he entered a dark period. It's just a generic term 240 00:14:13,800 --> 00:14:16,800 Speaker 3: for being really hot. I don't know where I got 241 00:14:16,800 --> 00:14:20,000 Speaker 3: it from some comedy sketch. I will say that I 242 00:14:20,000 --> 00:14:21,680 Speaker 3: did just google or did a little bit of a 243 00:14:21,760 --> 00:14:26,320 Speaker 3: digging on our nostalgia about narc the eighties arcade game, 244 00:14:26,400 --> 00:14:28,960 Speaker 3: and while it did carry anti drug messages, it was 245 00:14:29,000 --> 00:14:32,960 Speaker 3: not inherently anti drug propaganda or linked up with any 246 00:14:33,080 --> 00:14:35,360 Speaker 3: of these organizations. So that was that What do you 247 00:14:35,440 --> 00:14:41,240 Speaker 3: call that, guys? That selective memory of maybe Mandela effect. 248 00:14:41,240 --> 00:14:44,040 Speaker 3: But it's certainly like I have a distinct memory of 249 00:14:44,080 --> 00:14:47,040 Speaker 3: experiencing things a certain way, and then when presented with 250 00:14:47,120 --> 00:14:49,760 Speaker 3: the facts of the matter, that they did not necessarily 251 00:14:49,840 --> 00:14:53,080 Speaker 3: go down the way my brain has created the story 252 00:14:53,160 --> 00:14:53,480 Speaker 3: of my. 253 00:14:53,480 --> 00:14:56,080 Speaker 4: Life or a member each time you remember it. 254 00:14:56,280 --> 00:14:59,040 Speaker 3: That's very true percent. And I will just add that 255 00:14:59,160 --> 00:15:04,920 Speaker 3: Nintendo did reissue the game for the nes uh, and 256 00:15:05,080 --> 00:15:09,360 Speaker 3: they actually removed all drug references from the game. What 257 00:15:09,400 --> 00:15:10,960 Speaker 3: does that leave you with the game? 258 00:15:11,080 --> 00:15:14,040 Speaker 4: Like narc what are the Okay, so the junkies and 259 00:15:14,080 --> 00:15:17,760 Speaker 4: the drug dealers are like the goombas, right, they are 260 00:15:17,960 --> 00:15:21,560 Speaker 4: in Mario, So what are the what are the junkies 261 00:15:21,640 --> 00:15:22,000 Speaker 4: junked on? 262 00:15:22,200 --> 00:15:22,400 Speaker 3: You know? 263 00:15:22,560 --> 00:15:25,040 Speaker 4: This is like looking back at Bill and Ted's excellent 264 00:15:25,080 --> 00:15:28,560 Speaker 4: Adventure and realizing they were supposed to be Stoutner's, but 265 00:15:28,760 --> 00:15:31,080 Speaker 4: no one talks about it in the film. 266 00:15:31,360 --> 00:15:34,880 Speaker 3: They also use some pretty problematic language. Oh can I 267 00:15:35,000 --> 00:15:36,840 Speaker 3: just if anyone hasn't seen any of the Bill and 268 00:15:36,880 --> 00:15:39,920 Speaker 3: Ted movies, the first one in particular, the first one 269 00:15:40,120 --> 00:15:44,280 Speaker 3: they use some homophobic slurs quite a few times. 270 00:15:44,560 --> 00:15:49,280 Speaker 4: Yeah, and spoiler, folks, not an historically accurate depiction of 271 00:15:49,360 --> 00:15:53,680 Speaker 4: Jengis Koda or Napoleon also Ornapolion. But also it's it's 272 00:15:53,720 --> 00:15:57,400 Speaker 4: a comedy and nark is interesting because I believe it was. 273 00:15:58,120 --> 00:16:01,600 Speaker 4: It was very controversial because it was seen as an 274 00:16:01,680 --> 00:16:04,600 Speaker 4: ultra violent video game first. 275 00:16:04,400 --> 00:16:08,040 Speaker 2: Incredible two bit processing board guys. 276 00:16:08,600 --> 00:16:10,200 Speaker 3: Well, yeah, it's one of those ones that had the 277 00:16:10,440 --> 00:16:14,080 Speaker 3: slightly photorealistic sprites or whatever the world is where it 278 00:16:14,160 --> 00:16:16,240 Speaker 3: was like like this is the company, by the way 279 00:16:16,320 --> 00:16:20,040 Speaker 3: Midway that brought us Mortal Kombat. And if you look 280 00:16:20,080 --> 00:16:23,000 Speaker 3: at the character designs and narc, it is that like 281 00:16:23,040 --> 00:16:26,200 Speaker 3: they clearly filmed the character doing like some punchy punch 282 00:16:26,240 --> 00:16:28,520 Speaker 3: moves and then they trans you know, transmitted it into 283 00:16:28,520 --> 00:16:31,640 Speaker 3: this like two D side scrolling situation. So you can 284 00:16:31,680 --> 00:16:35,760 Speaker 3: see the beginnings of Mortal Kombat games in Narc. 285 00:16:35,920 --> 00:16:38,520 Speaker 2: Double the sixteen bit. We were all used to at 286 00:16:38,520 --> 00:16:41,280 Speaker 2: the arcade machines m narc. 287 00:16:41,880 --> 00:16:43,080 Speaker 3: What did it cost back in that it was it 288 00:16:43,120 --> 00:16:45,200 Speaker 3: just twenty five cents, right, you can get a game, 289 00:16:45,280 --> 00:16:45,440 Speaker 3: or you. 290 00:16:45,440 --> 00:16:49,200 Speaker 4: Get token to the baes, the fancy ones. We're fifty cents. 291 00:16:49,400 --> 00:16:52,440 Speaker 4: Oh my gosh. Back on birth Day, I see whittles 292 00:16:52,480 --> 00:16:55,520 Speaker 4: into the Darkness, we would have a rubarb pie and 293 00:16:55,600 --> 00:16:59,120 Speaker 4: a quarter could buy you thirdy minutes on your favorite 294 00:16:59,120 --> 00:17:04,639 Speaker 4: game of video, your favorite video machines on the Nickelodeon. 295 00:17:05,359 --> 00:17:09,000 Speaker 4: But this this does have sand I think we're finding 296 00:17:09,040 --> 00:17:14,120 Speaker 4: here and NOL because there is a possibility to have 297 00:17:14,200 --> 00:17:18,080 Speaker 4: something like a flashback. It's just been so embellished right 298 00:17:18,160 --> 00:17:22,160 Speaker 4: and propagandazed that people may believe it's far more common 299 00:17:22,560 --> 00:17:25,560 Speaker 4: than it actually is. And I bet you if we 300 00:17:25,640 --> 00:17:30,280 Speaker 4: go into some further studies, we would find that HPPD 301 00:17:31,240 --> 00:17:36,560 Speaker 4: probably has some coinciding variables related to pre existing mental. 302 00:17:36,320 --> 00:17:38,920 Speaker 3: Health, no question. And I think that's a big part 303 00:17:38,920 --> 00:17:40,520 Speaker 3: of it too. Ben. I'm glad you brought that up, 304 00:17:40,560 --> 00:17:45,119 Speaker 3: because we do often see LSD use blamed for people 305 00:17:45,280 --> 00:17:49,080 Speaker 3: kind of going cuckoo or whatever, like losing cocon and 306 00:17:49,160 --> 00:17:52,080 Speaker 3: doing self destructive behavior. And while that certainly can be 307 00:17:52,119 --> 00:17:54,760 Speaker 3: the case on a heroic dose of psychedelics, we do 308 00:17:54,880 --> 00:18:00,879 Speaker 3: often see intersection between pre existing predisposition to skitzphrannia or 309 00:18:01,040 --> 00:18:04,600 Speaker 3: much more extreme forms of mental illness that are almost 310 00:18:04,640 --> 00:18:08,639 Speaker 3: triggered by LSD use or psychedelic use. And we also 311 00:18:08,680 --> 00:18:11,520 Speaker 3: see that even in marijuana. We've talked about these like 312 00:18:11,640 --> 00:18:14,920 Speaker 3: really extreme cases where folks take marijuana and have these 313 00:18:15,000 --> 00:18:18,080 Speaker 3: kind of like psychotic breaks. That is another example of 314 00:18:18,119 --> 00:18:21,919 Speaker 3: maybe something that's triggering a pre existing condition that's sort 315 00:18:21,960 --> 00:18:23,359 Speaker 3: of lurking there beneath the surface. 316 00:18:23,760 --> 00:18:27,960 Speaker 2: We've talked before, specifically about psilocybin and how it actually 317 00:18:29,080 --> 00:18:33,920 Speaker 2: it recreates connection neural connections in your brain when you 318 00:18:33,960 --> 00:18:37,600 Speaker 2: take that substance. LSD appears to do something similar, not 319 00:18:37,800 --> 00:18:40,359 Speaker 2: exactly in the same way as same mechanism, but you 320 00:18:40,359 --> 00:18:45,520 Speaker 2: can totally see why if you are reconnecting memories, you're 321 00:18:45,560 --> 00:18:49,320 Speaker 2: reconnecting sense memories and things like that in your brain. 322 00:18:49,359 --> 00:18:52,720 Speaker 2: When you take these substances, then all it would take 323 00:18:52,960 --> 00:18:56,040 Speaker 2: is to re encounter a specific sensation and then it 324 00:18:56,040 --> 00:18:59,119 Speaker 2: could hit the rest of those neurons. Then all of 325 00:18:59,160 --> 00:19:01,760 Speaker 2: a sudden, your experience that thing again, or at least 326 00:19:01,800 --> 00:19:04,359 Speaker 2: the effects of that thing. It is really weird to 327 00:19:04,359 --> 00:19:08,960 Speaker 2: see how long, specifically LSD has been study for these things, 328 00:19:09,440 --> 00:19:13,920 Speaker 2: because in all these journals, the big takeaway at least 329 00:19:13,920 --> 00:19:16,680 Speaker 2: that I'm seeing is that these are every single one 330 00:19:17,040 --> 00:19:22,120 Speaker 2: a subjective experience. So it's impossible for anyone to actually 331 00:19:22,280 --> 00:19:26,200 Speaker 2: test exactly what's happening. And how could you make correlation 332 00:19:26,320 --> 00:19:30,080 Speaker 2: between any two people that are both experienced or reporting 333 00:19:30,160 --> 00:19:34,840 Speaker 2: to experience these things. It's just it's impossible. It's subjective. 334 00:19:34,920 --> 00:19:38,159 Speaker 2: So you can just say, well, here commonality is potentially. 335 00:19:38,000 --> 00:19:40,760 Speaker 4: Right, how do we quantify. We need some brain studies, 336 00:19:40,840 --> 00:19:43,200 Speaker 4: you know, ethics aside, and I'm sorry, I know we're 337 00:19:43,200 --> 00:19:47,200 Speaker 4: going long, but this is going to be interesting ethics aside. 338 00:19:47,520 --> 00:19:51,119 Speaker 4: So I'm saying that in the front, Okay, nobody get bad. No, 339 00:19:51,520 --> 00:19:56,280 Speaker 4: if ethics were not a thing, it would be fascinating, 340 00:19:56,520 --> 00:20:01,560 Speaker 4: and I argue worthwhile science to inculcate or create some 341 00:20:01,640 --> 00:20:05,360 Speaker 4: of those triggers that you're talking about, Matt. So have someone, 342 00:20:06,560 --> 00:20:09,760 Speaker 4: as you said, nol on, a heroic dose of LSD 343 00:20:10,040 --> 00:20:13,760 Speaker 4: or another hallucinogen monitored in a lab and then expose 344 00:20:13,880 --> 00:20:18,880 Speaker 4: them to distinctive smells right or to other triggers. Make 345 00:20:18,960 --> 00:20:22,840 Speaker 4: a Manchurian candidate of a hallucinatory experience, and then just 346 00:20:22,880 --> 00:20:26,359 Speaker 4: see what can happen. You know what I mean again, ethics, 347 00:20:26,400 --> 00:20:28,720 Speaker 4: acide ethics, acidey, this is hypothetical. 348 00:20:29,560 --> 00:20:32,320 Speaker 3: What you're talking about is a little more like a 349 00:20:32,560 --> 00:20:36,399 Speaker 3: triggered hypnosis, almost like it reminds me of the film 350 00:20:36,440 --> 00:20:39,639 Speaker 3: Old Boy. Without spoiling anything at all. There is a 351 00:20:39,640 --> 00:20:43,639 Speaker 3: certain sound queue that happens that brings back a certain 352 00:20:43,720 --> 00:20:47,040 Speaker 3: state that was rehearsed over and over and over again. 353 00:20:47,080 --> 00:20:50,199 Speaker 3: And I sometimes think of the idea of an acid flashback, 354 00:20:50,280 --> 00:20:56,400 Speaker 3: as you know, like the way people talk about Vietnam flashbacks, 355 00:20:56,800 --> 00:21:00,680 Speaker 3: Like like like you or you were re experience something 356 00:21:01,040 --> 00:21:06,320 Speaker 3: either profound or traumatic in this case, depending on your 357 00:21:06,359 --> 00:21:10,720 Speaker 3: situation with psychedelics. It could be either of those, whereas 358 00:21:10,760 --> 00:21:15,160 Speaker 3: the Vietnam and those types of traumatic flashbacks are much 359 00:21:15,200 --> 00:21:19,200 Speaker 3: more associated with a traumatic negative experience that then comes 360 00:21:19,240 --> 00:21:21,080 Speaker 3: back and all of a sudden you think you're there again. 361 00:21:21,160 --> 00:21:22,600 Speaker 3: But I think a lot has been made of that 362 00:21:22,760 --> 00:21:25,840 Speaker 3: as well, and that there's much more goes into the 363 00:21:25,880 --> 00:21:29,360 Speaker 3: idea of experiencing a traumatic flashback than the way it's 364 00:21:29,359 --> 00:21:33,440 Speaker 3: portrayed in pop culture. Sorry bit of a ramble there, 365 00:21:33,440 --> 00:21:36,280 Speaker 3: but it does make me think of that, So figs 366 00:21:36,320 --> 00:21:39,879 Speaker 3: a lot the messenger forgetting this going on this, I 367 00:21:39,880 --> 00:21:42,320 Speaker 3: thought we might all have something to chime in about 368 00:21:42,320 --> 00:21:44,399 Speaker 3: on this subject. Let's take a quick break here, a 369 00:21:44,400 --> 00:21:46,440 Speaker 3: word from our sponsors, and then come back with more 370 00:21:46,480 --> 00:21:47,640 Speaker 3: messages from you. 371 00:21:53,080 --> 00:21:56,959 Speaker 2: And we've returned, guys, I'm not going to set this 372 00:21:57,200 --> 00:22:00,159 Speaker 2: up at all, but it's going to tie back to 373 00:22:00,200 --> 00:22:03,320 Speaker 2: some stuff we've discussed in the past. Here we go. 374 00:22:03,440 --> 00:22:06,440 Speaker 2: This is a message from Big Luke. Hi. 375 00:22:07,080 --> 00:22:09,919 Speaker 6: You guys can call me. I guess big Loop. I 376 00:22:10,080 --> 00:22:13,040 Speaker 6: just read an article. I saw this on Yahoo News. 377 00:22:13,280 --> 00:22:16,160 Speaker 6: You might be able to google it. They are using 378 00:22:16,520 --> 00:22:21,600 Speaker 6: robotic rabbits to hunt down and capture pythons in Florida, 379 00:22:22,280 --> 00:22:26,840 Speaker 6: now I know that that's not necessarily big conspiracy, but 380 00:22:27,119 --> 00:22:29,240 Speaker 6: you guys have talked a lot about AI, You've talked 381 00:22:29,240 --> 00:22:32,080 Speaker 6: a lot about robotics, and that might be something that 382 00:22:32,119 --> 00:22:34,120 Speaker 6: you guys would like to talk about on your Strange 383 00:22:34,160 --> 00:22:38,000 Speaker 6: News because I find it definitely strange. And when you 384 00:22:38,040 --> 00:22:39,960 Speaker 6: look at the picture of a cute little rabbit that 385 00:22:40,000 --> 00:22:43,040 Speaker 6: they're using a little robotic bunny, I think you guys 386 00:22:43,040 --> 00:22:47,000 Speaker 6: would find that interesting. So again, using robotic rabbits to 387 00:22:47,080 --> 00:22:50,959 Speaker 6: hunt down pythons in the Florida Everglades, I think that 388 00:22:51,000 --> 00:22:56,359 Speaker 6: you guys would find that very interesting. Big Luke talkulatter, Yeah, agreed. 389 00:22:57,040 --> 00:23:00,879 Speaker 4: The pythons are an evasive species, as Big Luke you know. Well, 390 00:23:01,080 --> 00:23:03,440 Speaker 4: they're also and I'm sure you saw this, Matt, they're 391 00:23:03,880 --> 00:23:08,760 Speaker 4: getting spotted in Georgia. So any anything we can do, 392 00:23:08,840 --> 00:23:11,240 Speaker 4: I say that as an animal lover, but they're they're 393 00:23:11,280 --> 00:23:14,560 Speaker 4: just in the wrong neighborhood. Anything we can do to mitigate. 394 00:23:14,920 --> 00:23:20,360 Speaker 2: Yes, woe be to you tiny creatures in the swamp. 395 00:23:21,160 --> 00:23:23,800 Speaker 3: Whoe b Yeah, who betide? 396 00:23:24,200 --> 00:23:28,040 Speaker 2: Yeah, pythons are serious, guys, and when we when we're 397 00:23:28,080 --> 00:23:30,119 Speaker 2: going up against something serious, you know what we need 398 00:23:30,600 --> 00:23:33,600 Speaker 2: adorable robotic furry creatures. 399 00:23:34,520 --> 00:23:37,680 Speaker 4: I'm just I'm just laughing because for a moment I 400 00:23:38,359 --> 00:23:41,320 Speaker 4: flashed back. You could say, uh to to a world 401 00:23:41,440 --> 00:23:45,400 Speaker 4: where there's like a Dare program for pythons and you're 402 00:23:45,520 --> 00:23:49,200 Speaker 4: the you're the official talking to the kids, and they're 403 00:23:49,280 --> 00:23:52,159 Speaker 4: like what they got no thumbs and you're like, shut up, 404 00:23:52,400 --> 00:23:53,720 Speaker 4: pythons are serious. 405 00:23:54,080 --> 00:23:57,440 Speaker 2: Okay, well what if I'm what if I'm trying to 406 00:23:57,600 --> 00:24:03,480 Speaker 2: educate the baby pythons tout for these robotic rabbits. They 407 00:24:03,880 --> 00:24:07,600 Speaker 2: kind of hot but different. It's hard to know until 408 00:24:07,600 --> 00:24:09,440 Speaker 2: you get close and you sniff them with your tongue, 409 00:24:09,440 --> 00:24:10,400 Speaker 2: but it's too late. 410 00:24:10,640 --> 00:24:20,159 Speaker 4: WHOA definitely avoid, definitely avoid rabbit escalation. Hey something like that. 411 00:24:20,359 --> 00:24:25,679 Speaker 2: Go there, we go. Yeah, let's jump to USA today 412 00:24:25,960 --> 00:24:28,320 Speaker 2: because we don't get to cite them very often. But 413 00:24:28,440 --> 00:24:31,480 Speaker 2: they've got a fun little read here from July seventeenth, 414 00:24:32,480 --> 00:24:36,560 Speaker 2: titled Meat to the Robo Bunny. This tiny furry robot 415 00:24:36,680 --> 00:24:40,480 Speaker 2: is taking on invasive pythons in Florida, and it has 416 00:24:40,680 --> 00:24:43,399 Speaker 2: an image and a video that is currently not working 417 00:24:43,640 --> 00:24:46,480 Speaker 2: on my browser, but it's got an image of this 418 00:24:46,600 --> 00:24:51,520 Speaker 2: teeny little bunny. It's adorable, it's fluffy, it's furry, it's 419 00:24:51,520 --> 00:24:54,960 Speaker 2: got eyes. It looks like a bunny rabbit, probably from 420 00:24:55,040 --> 00:24:57,560 Speaker 2: far enough away. And if you put the right sense 421 00:24:57,840 --> 00:25:00,359 Speaker 2: or something on it, if you just spray around it 422 00:25:00,400 --> 00:25:02,960 Speaker 2: a little bit, I bet you could trick a python. 423 00:25:03,520 --> 00:25:07,359 Speaker 2: And it appears that's what these things can do ac 424 00:25:07,440 --> 00:25:11,320 Speaker 2: Cording USA today. They spin, they shake, they move randomly, 425 00:25:11,960 --> 00:25:16,800 Speaker 2: and they were created with quote more than a decade 426 00:25:16,840 --> 00:25:20,000 Speaker 2: of scientific review that began with a twenty twelve study 427 00:25:20,400 --> 00:25:24,240 Speaker 2: that transported rabbits into Everglades National Park to see if 428 00:25:24,560 --> 00:25:27,359 Speaker 2: and how quickly they would become prey. 429 00:25:28,320 --> 00:25:32,680 Speaker 4: It's the movement too, right, because the python, just as 430 00:25:32,800 --> 00:25:35,920 Speaker 4: life form, is very movement sensitive. So I feel like 431 00:25:36,000 --> 00:25:39,040 Speaker 4: that might even be more important than a cent. But 432 00:25:39,200 --> 00:25:42,280 Speaker 4: this is real science. I don't know, Matt, where are 433 00:25:42,359 --> 00:25:45,200 Speaker 4: you landing on this? Are you for it? Are you 434 00:25:45,320 --> 00:25:50,199 Speaker 4: against it? Is it a more information needed situation for you? Well? 435 00:25:50,240 --> 00:25:55,120 Speaker 2: As far as the robotic bunnies go, it does make 436 00:25:55,200 --> 00:25:58,399 Speaker 2: me think of a certain video game franchise where there 437 00:25:58,440 --> 00:26:03,560 Speaker 2: are robotic animals all about you guys, remember this one HORIZONO. 438 00:26:04,080 --> 00:26:06,280 Speaker 3: Yeah, that's right with You're sort of like a like 439 00:26:06,359 --> 00:26:08,879 Speaker 3: a futuristic Native people kind of situation. That was a 440 00:26:08,920 --> 00:26:10,680 Speaker 3: fun one, yeah, very beautiful. 441 00:26:10,880 --> 00:26:15,600 Speaker 2: And in that world, humanity creates robotic versions of many 442 00:26:15,600 --> 00:26:18,399 Speaker 2: of the primary animals to carry out the tasks that 443 00:26:18,600 --> 00:26:23,080 Speaker 2: the now extinct biological animals would have done. In this case, 444 00:26:23,119 --> 00:26:26,360 Speaker 2: the little robotic bunnies are simply being used to get 445 00:26:26,400 --> 00:26:30,000 Speaker 2: the pythons to a specific area where someone who is 446 00:26:30,080 --> 00:26:34,159 Speaker 2: trained to get a python. And theoretically, at least the 447 00:26:34,200 --> 00:26:37,760 Speaker 2: way it's shown with the Python challenge, dispatch it once 448 00:26:37,880 --> 00:26:43,679 Speaker 2: you once you encounter a Python. But you know, very 449 00:26:43,720 --> 00:26:47,359 Speaker 2: different from Horizon zero, don But it is still weird 450 00:26:47,440 --> 00:26:50,000 Speaker 2: to think that we would need something like this, or 451 00:26:50,000 --> 00:26:53,320 Speaker 2: we could even make use of something like this to 452 00:26:53,480 --> 00:26:57,920 Speaker 2: any real effect, I guess. But it does seem to 453 00:26:58,000 --> 00:27:01,520 Speaker 2: be working, though we don't know exactly how well yet. 454 00:27:03,040 --> 00:27:07,000 Speaker 4: Right because it's still it's still early days or initial 455 00:27:07,080 --> 00:27:10,240 Speaker 4: hops at this point, it does we do see some 456 00:27:10,760 --> 00:27:15,399 Speaker 4: interesting comparisons. Big Loop, you may have also clocked this, uh, 457 00:27:16,320 --> 00:27:21,360 Speaker 4: you know, in in theory where I guess in principle, 458 00:27:21,520 --> 00:27:24,520 Speaker 4: this is not that different from a scarecrow, right, You're 459 00:27:24,560 --> 00:27:30,199 Speaker 4: impersonating another thing in a natural environment to induce a behavior. 460 00:27:30,640 --> 00:27:33,280 Speaker 4: I've got to I've got to share this thing with you, guys, 461 00:27:34,480 --> 00:27:40,320 Speaker 4: the US Army has deployed plastic coyotes on four wheelers. 462 00:27:40,480 --> 00:27:42,080 Speaker 4: To let me put it in the chat, you'll love 463 00:27:42,119 --> 00:27:47,879 Speaker 4: this picture in an effort to uh disperse wildlife. And 464 00:27:48,160 --> 00:27:51,760 Speaker 4: these are just spoiler, they're not as good as the rabbits. Actually, 465 00:27:51,880 --> 00:27:53,640 Speaker 4: let me just share this so you guys can see 466 00:27:53,640 --> 00:27:54,879 Speaker 4: the picture and react to it. 467 00:27:55,840 --> 00:27:59,920 Speaker 3: Okay, Oh wow, do you guys see it? Wow, that's 468 00:28:00,119 --> 00:28:04,400 Speaker 3: like something from a sketch comedy situation. They're like those Yeah, 469 00:28:04,400 --> 00:28:07,440 Speaker 3: they're they're like the really bad plastic decoys, but they're 470 00:28:07,480 --> 00:28:09,399 Speaker 3: on like these go kart things that is. 471 00:28:09,640 --> 00:28:15,560 Speaker 4: Like lawnmowers, like coyote themed lawnmowers. And apparently because of 472 00:28:15,600 --> 00:28:18,560 Speaker 4: the visual queue and again this will tie back to 473 00:28:18,600 --> 00:28:23,760 Speaker 4: the rabbits because of the movement, it can induce this behavior. 474 00:28:24,560 --> 00:28:29,200 Speaker 4: Do we know whether this will be deployed in other 475 00:28:29,400 --> 00:28:33,240 Speaker 4: parts of the US, thinking specifically of South Georgia? 476 00:28:34,200 --> 00:28:35,760 Speaker 2: Maybe do we know this? 477 00:28:37,119 --> 00:28:37,520 Speaker 4: We don't. 478 00:28:37,880 --> 00:28:41,400 Speaker 2: Okay, but we do not know this, but that would 479 00:28:41,400 --> 00:28:44,160 Speaker 2: be a great idea. You can see images of them. 480 00:28:44,200 --> 00:28:48,000 Speaker 2: They several times they've been deployed, at least visually here 481 00:28:48,560 --> 00:28:52,280 Speaker 2: from USA today, they've been deployed inside these little plastic 482 00:28:52,400 --> 00:28:54,520 Speaker 2: containers where you can see the movements of these little 483 00:28:54,600 --> 00:28:56,560 Speaker 2: robotic bunnies. And then it's kind of like a trap 484 00:28:56,960 --> 00:28:59,080 Speaker 2: set up where the python could get in there and 485 00:28:59,160 --> 00:29:02,120 Speaker 2: wrap itself around the little robotic bunny, but he would 486 00:29:02,120 --> 00:29:05,520 Speaker 2: get stuck inside. That's when you'd have the professional come 487 00:29:05,560 --> 00:29:09,719 Speaker 2: out and dispatch the snake. But guys, the biggest thing, 488 00:29:10,040 --> 00:29:12,479 Speaker 2: I think we've talked about it before, but the Florida 489 00:29:12,560 --> 00:29:16,480 Speaker 2: Python Challenge. Yes, the twenty twenty five version of it 490 00:29:16,800 --> 00:29:20,720 Speaker 2: just ended on July twentieth at five pm. But this 491 00:29:20,920 --> 00:29:27,200 Speaker 2: is a crazy thing where the folks in Florida decided, Hey, 492 00:29:27,240 --> 00:29:29,600 Speaker 2: we're gonna get together and for a brief period of 493 00:29:29,680 --> 00:29:32,720 Speaker 2: time this time it was from July eleventh to the twentieth, 494 00:29:33,240 --> 00:29:37,320 Speaker 2: we're gonna challenge people to register for this thing and 495 00:29:37,440 --> 00:29:40,080 Speaker 2: then go out and kill as many pythons as they 496 00:29:40,200 --> 00:29:43,160 Speaker 2: possibly can, and the winner is going to get ten 497 00:29:43,320 --> 00:29:46,160 Speaker 2: thousand buckeroos. Pretty great. 498 00:29:47,120 --> 00:29:53,160 Speaker 4: Well, well yes for now, yes, asterisk caveat because this 499 00:29:53,480 --> 00:29:56,760 Speaker 4: reminds me immediately, can't be the only one of what's 500 00:29:56,840 --> 00:30:00,360 Speaker 4: called a perverse incentive or the cobra effect. If you 501 00:30:00,400 --> 00:30:03,920 Speaker 4: remember that story, that's when there was such a problem 502 00:30:04,160 --> 00:30:08,800 Speaker 4: with cobras in parts of India that people were they 503 00:30:08,920 --> 00:30:12,360 Speaker 4: essentially issued something like the Python Challenge in a couple 504 00:30:12,400 --> 00:30:14,920 Speaker 4: of regions, and the idea was that there would be 505 00:30:14,960 --> 00:30:18,680 Speaker 4: a bounty on cobras, so the more you kill, the 506 00:30:18,880 --> 00:30:21,120 Speaker 4: more money you get per cobra. 507 00:30:21,240 --> 00:30:24,440 Speaker 3: Had just started like pumping out cobras so that they 508 00:30:24,480 --> 00:30:26,880 Speaker 3: could like collect the bounty. And it was like a 509 00:30:26,960 --> 00:30:30,320 Speaker 3: problem that kind of exacerbated itself or it made a 510 00:30:30,400 --> 00:30:33,280 Speaker 3: new problem. It was a solution to a previous problem 511 00:30:33,360 --> 00:30:35,040 Speaker 3: that became an even bigger problem, a. 512 00:30:35,080 --> 00:30:39,240 Speaker 4: Perverse incentive, So there there's a non zero chance that 513 00:30:39,400 --> 00:30:42,920 Speaker 4: this could happen with a Florida Python Challenge. Well, still, overall, 514 00:30:42,960 --> 00:30:43,520 Speaker 4: it's a good thing. 515 00:30:43,920 --> 00:30:47,840 Speaker 2: It's been hailed as the quote most effective management strategy 516 00:30:48,000 --> 00:30:50,960 Speaker 2: in the history of the issue, according to that's a 517 00:30:51,040 --> 00:30:54,920 Speaker 2: quote by Mike Kirkland, an animal biologist, the history of 518 00:30:54,960 --> 00:31:01,000 Speaker 2: the issue. Yeah, invasive pythons in Florida, and it's a 519 00:31:01,040 --> 00:31:04,840 Speaker 2: fascinating thing. You can head on over to Flpython Challenge 520 00:31:04,880 --> 00:31:08,560 Speaker 2: dot org to learn about the challenge and the winners 521 00:31:08,640 --> 00:31:10,480 Speaker 2: every year and all kinds of good stuff like that. 522 00:31:11,000 --> 00:31:12,680 Speaker 2: The biggest thing. To your point, Ben, like, could this 523 00:31:12,760 --> 00:31:15,040 Speaker 2: get out of control? Well, just head on over to 524 00:31:15,160 --> 00:31:20,360 Speaker 2: the Florida Python Challenge competition rules page, which includes everything 525 00:31:20,400 --> 00:31:23,520 Speaker 2: you need to know to get registered and all of 526 00:31:23,600 --> 00:31:27,320 Speaker 2: the different rules per location, and all the different rules 527 00:31:27,400 --> 00:31:30,000 Speaker 2: for how to dispatch with the thing, and it's it's 528 00:31:30,120 --> 00:31:34,640 Speaker 2: pretty intense and it's a lot. So hopefully you couldn't 529 00:31:34,640 --> 00:31:37,440 Speaker 2: get around all the red tape to just bring in 530 00:31:37,520 --> 00:31:38,520 Speaker 2: a bunch of pythons. 531 00:31:40,560 --> 00:31:44,000 Speaker 4: I don't know, pythons are so cool. I mean, if 532 00:31:44,040 --> 00:31:47,040 Speaker 4: you could raise enough of them to the cobra effect, 533 00:31:47,320 --> 00:31:49,760 Speaker 4: check out. That's an episode of ridiculous history. Check it out. 534 00:31:49,760 --> 00:31:52,560 Speaker 4: If you could raise enough of them to goose the 535 00:31:52,680 --> 00:31:56,640 Speaker 4: numbers and still make a profit from winning the competition. 536 00:31:56,840 --> 00:32:00,000 Speaker 4: I don't know how expensive is it to grow pythons 537 00:32:00,200 --> 00:32:05,120 Speaker 4: at scale? I bet at scale? Sorry, I bet somebody knows. Also, 538 00:32:05,560 --> 00:32:09,720 Speaker 4: Matt Politics aside that python football looks sick. 539 00:32:10,360 --> 00:32:15,520 Speaker 2: Yeah, dude, yeah, yes, python skin football. Everybody, you can 540 00:32:15,560 --> 00:32:17,680 Speaker 2: look at that too. Just sad on over to the 541 00:32:17,800 --> 00:32:22,720 Speaker 2: Python Challenge sh dream, guys. I've got one more message, 542 00:32:22,920 --> 00:32:25,400 Speaker 2: and we're not going to get fully into it because 543 00:32:25,480 --> 00:32:28,200 Speaker 2: it's way too much to unpacking one of these. I 544 00:32:28,560 --> 00:32:32,120 Speaker 2: hereby suggest we do a full episode on it. I 545 00:32:32,160 --> 00:32:34,520 Speaker 2: think we've had enough time now to do some real 546 00:32:35,200 --> 00:32:38,440 Speaker 2: digging into the subjects. So let's hear quickly from the 547 00:32:38,560 --> 00:32:39,720 Speaker 2: Lord of Enjoyment. 548 00:32:40,640 --> 00:32:44,320 Speaker 7: Hello, the Lord of Enjoyment, also known as Millennial Truck 549 00:32:44,400 --> 00:32:47,920 Speaker 7: or her. I wanted you guys to talk about the 550 00:32:48,040 --> 00:32:51,320 Speaker 7: whole thing with the last flood in Texas where water 551 00:32:51,440 --> 00:32:54,760 Speaker 7: went through the camp and everything, and how allegedly they 552 00:32:54,800 --> 00:32:57,720 Speaker 7: did cloud seating right in that area, like within two 553 00:32:57,800 --> 00:33:02,000 Speaker 7: days prior, and the company literally being called rain Maker, 554 00:33:02,120 --> 00:33:04,520 Speaker 7: and I'm saying that they had no effect on it, 555 00:33:04,680 --> 00:33:08,640 Speaker 7: but it's like, come on, the company is called Rainmaker, 556 00:33:08,680 --> 00:33:11,840 Speaker 7: You're doing cloud seating right where that catastrophic flood happens, 557 00:33:12,920 --> 00:33:13,880 Speaker 7: like within two days. 558 00:33:14,600 --> 00:33:14,920 Speaker 3: I don't know. 559 00:33:15,960 --> 00:33:18,440 Speaker 7: So you guys would like talking about that. Interested to 560 00:33:18,840 --> 00:33:19,760 Speaker 7: see what you guys say. 561 00:33:20,000 --> 00:33:20,280 Speaker 6: Thank you? 562 00:33:20,720 --> 00:33:21,000 Speaker 1: Enjoy? 563 00:33:22,200 --> 00:33:24,120 Speaker 2: Yeah, well we will enjoy. 564 00:33:24,960 --> 00:33:26,320 Speaker 4: It's been on my mind too, man. 565 00:33:26,600 --> 00:33:26,800 Speaker 6: Yeah. 566 00:33:27,080 --> 00:33:30,120 Speaker 2: Yeah, this is a really tragic subject. It's another one 567 00:33:30,120 --> 00:33:32,520 Speaker 2: of those things that has been heavily politicized. If you 568 00:33:32,880 --> 00:33:35,120 Speaker 2: search around on the Internet, you will see all sorts 569 00:33:35,280 --> 00:33:40,080 Speaker 2: of colorful political figures out there saying things like, oh, 570 00:33:40,160 --> 00:33:43,080 Speaker 2: this is clearly done by cloud seating, including Michael Flynn 571 00:33:43,760 --> 00:33:46,479 Speaker 2: and just look up who that is. Uh, there are 572 00:33:46,560 --> 00:33:50,280 Speaker 2: lots of people out there in prominent positions putting forth 573 00:33:51,160 --> 00:33:55,080 Speaker 2: this concept that cloud seating that we've discussed many times 574 00:33:55,120 --> 00:33:58,040 Speaker 2: on this show had a direct effect on the flooding 575 00:33:58,120 --> 00:34:01,640 Speaker 2: that occurred in Texas there and we found a bunch 576 00:34:01,680 --> 00:34:05,080 Speaker 2: of links. We found a bunch of stories about this. 577 00:34:05,400 --> 00:34:09,200 Speaker 2: Specifically one person named Augustus d Rico who has a company. 578 00:34:09,320 --> 00:34:11,759 Speaker 2: This twenty five year old man has a company called 579 00:34:11,920 --> 00:34:15,840 Speaker 2: rain Maker that specifically does cloud seating in that area. 580 00:34:16,600 --> 00:34:19,080 Speaker 2: And you can even find I've got it right here 581 00:34:19,640 --> 00:34:24,560 Speaker 2: their official US Department of Commerce, National Oceanic and Atmospheric 582 00:34:24,600 --> 00:34:28,520 Speaker 2: Administration NOAA Form seventeen to four, where they talk about 583 00:34:28,560 --> 00:34:31,400 Speaker 2: specifically where they were cloud seating just a couple of 584 00:34:31,480 --> 00:34:35,279 Speaker 2: days before the floods, Which does make you go if 585 00:34:35,360 --> 00:34:38,120 Speaker 2: you are at all attuned to look for this kind 586 00:34:38,120 --> 00:34:41,160 Speaker 2: of stuff, it gives you pause and it makes you go, wow, 587 00:34:41,280 --> 00:34:45,440 Speaker 2: that's weird. So you can understand why people like Michael 588 00:34:45,480 --> 00:34:48,279 Speaker 2: Flynn and prominent human beings are saying things like this. 589 00:34:48,719 --> 00:34:51,520 Speaker 2: But at the same time, is there actual evidence that 590 00:34:51,840 --> 00:34:55,160 Speaker 2: cloud seating of this type could have an effect. That's 591 00:34:55,160 --> 00:34:57,399 Speaker 2: when you go to the meteorologists who are all saying 592 00:34:58,000 --> 00:35:02,839 Speaker 2: probably no, actually yeah, definitely know. But at the same time, 593 00:35:02,920 --> 00:35:06,879 Speaker 2: it's very weird. So I suggest we dive deep into 594 00:35:06,920 --> 00:35:09,120 Speaker 2: this and talk about it at length. 595 00:35:09,760 --> 00:35:10,200 Speaker 3: Agreed. 596 00:35:10,440 --> 00:35:17,799 Speaker 4: Yeah, because this concept has been resurrected with the recent news, 597 00:35:17,960 --> 00:35:20,640 Speaker 4: but there's a lot more past the headlines, and I 598 00:35:20,680 --> 00:35:23,080 Speaker 4: think you make an excellent point about the danger of 599 00:35:23,520 --> 00:35:28,920 Speaker 4: politicization there. While we're working on that episode, folks, please 600 00:35:29,040 --> 00:35:32,399 Speaker 4: check out our earlier episode from a few years back. Well, 601 00:35:32,560 --> 00:35:36,200 Speaker 4: I can't remember how long ago can human beings create disaster? 602 00:35:37,160 --> 00:35:42,320 Speaker 4: The science there is pretty solid. Cloud seeding is a 603 00:35:42,400 --> 00:35:45,400 Speaker 4: real thing. We've talked about it. It's been deployed in 604 00:35:45,680 --> 00:35:49,919 Speaker 4: multiple places. We'll get into the history again. We'll talk 605 00:35:49,960 --> 00:35:54,439 Speaker 4: about some of the real world cloud seeding conspiracies, such 606 00:35:54,480 --> 00:35:58,640 Speaker 4: as in China and Southeast Asia, especially during the Indo 607 00:35:58,760 --> 00:36:01,480 Speaker 4: China and Vietnam con in Thank You So Much, Lore 608 00:36:01,520 --> 00:36:03,960 Speaker 4: of Enjoyment. Yeah, we're on the case. I feel like 609 00:36:04,080 --> 00:36:05,879 Speaker 4: scruff McGruff. Yeah. 610 00:36:06,160 --> 00:36:10,040 Speaker 2: Yeah, Well, because in our previous explorations, we don't want 611 00:36:10,080 --> 00:36:11,960 Speaker 2: to spoil it. Go listen to the episode. But what 612 00:36:12,080 --> 00:36:16,120 Speaker 2: we came away from that was that cloud seating itself 613 00:36:16,280 --> 00:36:20,239 Speaker 2: isn't going to create the storm situation. No, right, But 614 00:36:20,840 --> 00:36:25,480 Speaker 2: theoretically could cloud seating when that area that has been 615 00:36:25,560 --> 00:36:29,400 Speaker 2: seated encounters a weather front that is a large storm 616 00:36:29,440 --> 00:36:32,719 Speaker 2: that is going to drop water. Could that affect the 617 00:36:32,840 --> 00:36:36,240 Speaker 2: amount of water that actually falls in that specific area 618 00:36:37,280 --> 00:36:40,320 Speaker 2: That I don't know the answer to. So that's what 619 00:36:40,400 --> 00:36:41,280 Speaker 2: we're going to be exploring. 620 00:36:41,360 --> 00:36:44,759 Speaker 4: I think, yeah, agreed, It's more like, is this a 621 00:36:45,480 --> 00:36:48,960 Speaker 4: buff or an enhancement and if so, to what degree. 622 00:36:49,400 --> 00:36:53,080 Speaker 4: Another thing that a lot of the headlines are missing 623 00:36:53,239 --> 00:36:57,480 Speaker 4: right now the basics of weather modification or cloud seeding 624 00:36:57,480 --> 00:37:01,400 Speaker 4: in particular, is that it is is a very imperfect 625 00:37:01,520 --> 00:37:04,040 Speaker 4: science at this point, at least the stuff we can 626 00:37:04,120 --> 00:37:09,320 Speaker 4: publicly prove exists, and people are forgetting that weather is 627 00:37:09,400 --> 00:37:14,720 Speaker 4: a gestaltic thing. It is all one interconnected system across 628 00:37:14,960 --> 00:37:18,279 Speaker 4: the planet. You are beat me here, Dylan. Nobody is 629 00:37:18,360 --> 00:37:23,000 Speaker 4: making newking water. They're taking it from somewhere else. And 630 00:37:23,120 --> 00:37:26,480 Speaker 4: when why can't we make more water? That would solve everything? 631 00:37:26,520 --> 00:37:30,560 Speaker 4: That face economy is a religion. Unfortunately, I'm with you, know, 632 00:37:30,920 --> 00:37:35,520 Speaker 4: but because you're subtracting and adding from different things. Because 633 00:37:35,560 --> 00:37:40,560 Speaker 4: you're essentially moving things around, you could affect weather in 634 00:37:40,840 --> 00:37:45,759 Speaker 4: very unintended ways. You could, for instance, let's say this 635 00:37:45,880 --> 00:37:50,040 Speaker 4: way like with weather fronts or with moving air currents 636 00:37:50,080 --> 00:37:53,880 Speaker 4: and stuff. You could say, we're modifying the weather in 637 00:37:53,960 --> 00:37:57,640 Speaker 4: someplace that is not Texas, has nothing to do with 638 00:37:57,800 --> 00:38:01,320 Speaker 4: Texas in the minds of the rain Makers, but because 639 00:38:01,360 --> 00:38:05,320 Speaker 4: of this interconnected system, it ends up affecting a different place. 640 00:38:06,120 --> 00:38:09,200 Speaker 4: This is just bitballing. This is actually you know what, Sorry, guys, 641 00:38:09,239 --> 00:38:12,000 Speaker 4: I'm turning it into an advertisement for an episode I'm 642 00:38:12,000 --> 00:38:13,279 Speaker 4: already very excited about. 643 00:38:13,600 --> 00:38:14,919 Speaker 3: Yes, me too, dude. 644 00:38:15,640 --> 00:38:19,080 Speaker 2: Everyone in preparation for this episode, go back and watch 645 00:38:19,160 --> 00:38:23,240 Speaker 2: the film The rain Maker. Not the nineteen ninety seven 646 00:38:23,520 --> 00:38:27,879 Speaker 2: Matt Damon Danny DeVito hit, but the nineteen fifty six 647 00:38:28,600 --> 00:38:33,520 Speaker 2: ultra smash film The rain Maker featuring Catherine Hepburn and 648 00:38:33,640 --> 00:38:37,560 Speaker 2: Bert Lancaster. It's beautiful. It's about a man that says 649 00:38:37,640 --> 00:38:39,719 Speaker 2: he can, you know, do things with the weather. It's 650 00:38:40,080 --> 00:38:40,680 Speaker 2: worth your time. 651 00:38:41,160 --> 00:38:43,960 Speaker 4: Oh man, do we do a dowsing episode? I swear 652 00:38:44,000 --> 00:38:44,279 Speaker 4: we did. 653 00:38:44,920 --> 00:38:48,120 Speaker 2: We talked about it during an episode where it's a 654 00:38:48,120 --> 00:38:49,200 Speaker 2: bunch of things together, I think. 655 00:38:49,640 --> 00:38:54,080 Speaker 4: Okay, Okay, I've still mystified by that. Let us go 656 00:38:54,280 --> 00:38:57,320 Speaker 4: dowsing is real too. And while you're on the internet 657 00:38:57,400 --> 00:39:01,520 Speaker 4: following that's excellent recommendation. Of course, check out the rain 658 00:39:01,640 --> 00:39:05,160 Speaker 4: King by counting crows. I'm so sorry, guys, Okay, I 659 00:39:05,280 --> 00:39:07,680 Speaker 4: know there are a lot of references. Well, we're marathon 660 00:39:07,800 --> 00:39:11,360 Speaker 4: recording today, but I was stuck in a place for 661 00:39:11,440 --> 00:39:15,680 Speaker 4: a second recently where the only audio I had access 662 00:39:15,760 --> 00:39:19,319 Speaker 4: to was accounting crows CD. We don't have to get 663 00:39:19,360 --> 00:39:21,759 Speaker 4: into it, but that's where all these references are coming from. 664 00:39:21,960 --> 00:39:25,080 Speaker 3: Yeah, dude, I'm with you recovering the satellite. It's huge 665 00:39:25,120 --> 00:39:25,320 Speaker 3: for me. 666 00:39:25,520 --> 00:39:28,080 Speaker 4: I'm in Durant's recovery right now. Guys, one day at 667 00:39:28,080 --> 00:39:28,399 Speaker 4: a time. 668 00:39:28,880 --> 00:39:29,319 Speaker 3: Oh yeah. 669 00:39:30,480 --> 00:39:32,680 Speaker 2: And also, you know, we it's not lost on to 670 00:39:32,760 --> 00:39:35,200 Speaker 2: the tragedy that you know all of this the reason 671 00:39:35,239 --> 00:39:38,160 Speaker 2: why we're talking about this absolutely so do keep that 672 00:39:38,320 --> 00:39:41,399 Speaker 2: in mind in your travels throughout. And you can also 673 00:39:41,440 --> 00:39:48,160 Speaker 2: see why that tragedy would fuel such political turmoil. Just 674 00:39:48,239 --> 00:39:49,759 Speaker 2: the subject alone and. 675 00:39:49,840 --> 00:39:52,400 Speaker 4: The and the other I think, well said Matt. And 676 00:39:52,400 --> 00:39:56,520 Speaker 4: the other big question here is a question of precedent, right, 677 00:39:57,080 --> 00:40:00,520 Speaker 4: what will happen in the future as well. How can 678 00:40:01,520 --> 00:40:08,120 Speaker 4: we as civilization better prepare ourselves for these situations? 679 00:40:08,200 --> 00:40:10,480 Speaker 2: Yep, as we've got more. I was looking at the 680 00:40:10,520 --> 00:40:12,960 Speaker 2: forecast as we're recording this on Monday, July twenty first, 681 00:40:13,120 --> 00:40:16,240 Speaker 2: there is a ton of water set to come down 682 00:40:16,600 --> 00:40:20,520 Speaker 2: across the northeast and part of the southeast too. So 683 00:40:21,200 --> 00:40:24,560 Speaker 2: just everybody stay vigilant. And that's all for me. Thank 684 00:40:24,600 --> 00:40:27,520 Speaker 2: you so much, Big Luke, Thank you so much, Lord 685 00:40:27,560 --> 00:40:28,120 Speaker 2: of Enjoyment. 686 00:40:28,480 --> 00:40:30,520 Speaker 4: We'll take a break for a word from our sponsors 687 00:40:30,600 --> 00:40:42,160 Speaker 4: and we'll return. And we have returned. Let's stay with 688 00:40:42,360 --> 00:40:47,480 Speaker 4: the weather for a moment here. We recently republished an 689 00:40:47,520 --> 00:40:50,919 Speaker 4: episode that I think we all enjoyed with a sort 690 00:40:50,960 --> 00:40:58,560 Speaker 4: of grabby title Mass Solar Excitability Slaves to the Sun, 691 00:40:59,360 --> 00:41:02,279 Speaker 4: in which we, uh, it's part of our exploration on 692 00:41:03,120 --> 00:41:09,879 Speaker 4: how weather may influence or affect the behavior of living organisms. 693 00:41:10,880 --> 00:41:10,960 Speaker 3: Uh. 694 00:41:11,200 --> 00:41:12,960 Speaker 4: And you know, this being the kind of show that 695 00:41:13,080 --> 00:41:19,879 Speaker 4: it is, we focused on humans, immensely fascinating species. Four 696 00:41:19,960 --> 00:41:21,920 Speaker 4: out of five, I would say, four out of five stars. 697 00:41:22,080 --> 00:41:25,560 Speaker 2: The humans, I'm gonna go lower. They will go lower. 698 00:41:26,320 --> 00:41:28,600 Speaker 4: Are you telling are their early work? 699 00:41:29,400 --> 00:41:29,800 Speaker 3: I don't know. 700 00:41:30,160 --> 00:41:31,120 Speaker 2: A couple hundred years. 701 00:41:33,040 --> 00:41:34,160 Speaker 3: I'm gonna give it a three five. 702 00:41:35,200 --> 00:41:38,200 Speaker 4: Guys, great tough, all right, but that's why we make 703 00:41:38,239 --> 00:41:41,000 Speaker 4: a good team. And joining the team this evening is 704 00:41:41,320 --> 00:41:46,799 Speaker 4: the called as the first off great name five out 705 00:41:46,840 --> 00:41:48,280 Speaker 4: of five notes. 706 00:41:49,160 --> 00:41:51,480 Speaker 3: You say, I'm gonnaive it a three five. I'm just 707 00:41:51,520 --> 00:41:51,880 Speaker 3: kidding it. 708 00:41:52,600 --> 00:41:55,879 Speaker 4: Man tough? Uh cow caught you say? 709 00:41:55,960 --> 00:41:56,120 Speaker 6: Hey? 710 00:41:56,280 --> 00:41:59,600 Speaker 4: Ben, Matt and Noel loved the episode, as well as 711 00:41:59,640 --> 00:42:03,600 Speaker 4: the mail about solar activity affecting human behavior. It's a 712 00:42:03,800 --> 00:42:07,240 Speaker 4: super intriguing idea, and I can see why it grabs 713 00:42:07,280 --> 00:42:12,160 Speaker 4: people's attention. There are some weird correlations out there. For example, 714 00:42:12,239 --> 00:42:16,080 Speaker 4: some studies have noticed small spikes in anxiety or sleep 715 00:42:16,200 --> 00:42:21,160 Speaker 4: disruption during geomagnetic storms. If you even suggested a slight 716 00:42:21,360 --> 00:42:25,759 Speaker 4: increase in heart attacks or hospital visits during solar flare activity, 717 00:42:26,239 --> 00:42:30,080 Speaker 4: and then you've got older theories from folks like Alexander Czewski. 718 00:42:30,760 --> 00:42:35,520 Speaker 4: Nice reference there Cacau, who claimed wars and revolutions peaked 719 00:42:35,680 --> 00:42:41,400 Speaker 4: during sunspot maximums. Interesting stuff. But here's the thing, says Cacau, 720 00:42:41,719 --> 00:42:45,319 Speaker 4: none of it holds up to real scientific scrutiny. Most 721 00:42:45,400 --> 00:42:49,440 Speaker 4: of the research is either outdated, inconsistent, or just playing 722 00:42:49,600 --> 00:42:53,799 Speaker 4: correlation without causation. No one has been able to show 723 00:42:53,920 --> 00:42:58,239 Speaker 4: that solar activity directly causes any of these things. The 724 00:42:58,400 --> 00:43:02,080 Speaker 4: data just doesn't support it in a reliable way. Still 725 00:43:02,480 --> 00:43:05,239 Speaker 4: the fun rabbit hole. I appreciate you guys giving it 726 00:43:05,320 --> 00:43:09,319 Speaker 4: some aretime. That balance of curiosity and skepticism is why 727 00:43:09,480 --> 00:43:15,600 Speaker 4: I keep coming back. I love that reference that. I 728 00:43:15,719 --> 00:43:20,279 Speaker 4: love that you're referencing Alex here and I hate to 729 00:43:20,360 --> 00:43:26,840 Speaker 4: admit it, but we are ethically required to. Yeah, the 730 00:43:27,040 --> 00:43:32,440 Speaker 4: data is not supporting a lot of Chevsky or Chizevski's arguments. 731 00:43:33,880 --> 00:43:38,640 Speaker 4: Not but it feels like it does. It really feels 732 00:43:38,719 --> 00:43:42,160 Speaker 4: like it does. This guy was so smart. He is 733 00:43:42,280 --> 00:43:48,480 Speaker 4: the founder of helio biology, which is exactly what we're 734 00:43:48,560 --> 00:43:49,120 Speaker 4: talking about. 735 00:43:49,239 --> 00:43:50,440 Speaker 3: With smart. 736 00:43:51,040 --> 00:43:54,719 Speaker 4: Yeah, the study of the sun's effect on biology. I 737 00:43:54,840 --> 00:43:58,080 Speaker 4: don't know. I feel like the weather does affect people. 738 00:43:58,360 --> 00:43:59,640 Speaker 4: I think it's a matter of scale. 739 00:44:00,440 --> 00:44:04,080 Speaker 2: Well, I know the heat affects me. I know this firsthand, 740 00:44:04,200 --> 00:44:07,320 Speaker 2: very recently. Just how much it puts me in a 741 00:44:07,600 --> 00:44:08,239 Speaker 2: sore mood. 742 00:44:09,360 --> 00:44:11,839 Speaker 4: Gosh, you went through two weeks of soup, bro. 743 00:44:12,280 --> 00:44:15,920 Speaker 2: I did interior and exterior. You couldn't get away from 744 00:44:15,960 --> 00:44:16,960 Speaker 2: the soup. You're just in it. 745 00:44:17,840 --> 00:44:22,880 Speaker 4: Oh Yeah, it was funny that you. First off, I'm glad. 746 00:44:23,120 --> 00:44:27,360 Speaker 4: I'm so happy that situation has has improved. And I 747 00:44:27,440 --> 00:44:30,120 Speaker 4: got to tell you guys, when I got back recently, 748 00:44:31,320 --> 00:44:32,160 Speaker 4: it hit me. 749 00:44:32,680 --> 00:44:33,240 Speaker 3: I forgot. 750 00:44:33,840 --> 00:44:36,880 Speaker 4: I forgot just how intense it is here at this 751 00:44:37,040 --> 00:44:37,520 Speaker 4: time of year. 752 00:44:37,760 --> 00:44:41,520 Speaker 2: Today it's like ninety five right now, even at night. 753 00:44:41,840 --> 00:44:42,400 Speaker 3: It's rude. 754 00:44:42,600 --> 00:44:50,320 Speaker 4: It's just rude, offensive, It insists upon itself. I've also, 755 00:44:50,520 --> 00:44:53,840 Speaker 4: as we know, I'm very anti son. I think it 756 00:44:54,000 --> 00:44:58,839 Speaker 4: had its day, but it does seem like something We're 757 00:44:59,040 --> 00:45:03,840 Speaker 4: going to returned to this conversation about solar flares and 758 00:45:04,040 --> 00:45:09,200 Speaker 4: their possible effects upon human behavior at scale. And the 759 00:45:09,640 --> 00:45:12,680 Speaker 4: reason this is going to come up again. We're predicting 760 00:45:12,760 --> 00:45:19,200 Speaker 4: this is because we are entering a solar maximum. You guys, 761 00:45:19,239 --> 00:45:20,520 Speaker 4: remember this, it's coming up. 762 00:45:20,719 --> 00:45:20,919 Speaker 2: Yep. 763 00:45:21,160 --> 00:45:22,960 Speaker 3: Doesn't sound good. I don't think I know about the 764 00:45:23,000 --> 00:45:25,080 Speaker 3: solar maximum, but I would not be surprised if we 765 00:45:25,160 --> 00:45:26,960 Speaker 3: are in it. We're approaching it. 766 00:45:27,320 --> 00:45:30,080 Speaker 4: This is one of those examples we love on this show. 767 00:45:30,160 --> 00:45:34,840 Speaker 4: It's one of those great weird things about existing in 768 00:45:34,920 --> 00:45:39,120 Speaker 4: this galactic neighborhood that everybody like, we figured it out 769 00:45:39,320 --> 00:45:41,719 Speaker 4: and we just kind of accept it. We don't know 770 00:45:41,800 --> 00:45:44,040 Speaker 4: why it happens. We can't control it, we can't do 771 00:45:44,160 --> 00:45:47,400 Speaker 4: deadly about it, so we just sort of ignore that. 772 00:45:47,719 --> 00:45:51,000 Speaker 4: Every eleven years, at the height of the solar cycle, 773 00:45:51,400 --> 00:45:54,840 Speaker 4: the Sun's magnetic poles they just flip. 774 00:45:55,719 --> 00:45:58,520 Speaker 2: Yep and this weird stuff. Hey, if you head on 775 00:45:58,640 --> 00:46:02,160 Speaker 2: over spaceweather dot com right now, you'll learn about the 776 00:46:02,520 --> 00:46:06,719 Speaker 2: little sunspots that are just hanging out low solar activity. 777 00:46:07,000 --> 00:46:10,360 Speaker 2: But each one of those sun spots have a pretty 778 00:46:10,360 --> 00:46:12,480 Speaker 2: good percent chance of sending out one of those X 779 00:46:12,560 --> 00:46:15,200 Speaker 2: flares that we've talked about on the show before that 780 00:46:15,400 --> 00:46:22,920 Speaker 2: do terrible things if the magnet If our magnetosphere happens 781 00:46:22,960 --> 00:46:25,840 Speaker 2: to be pushed away by enough of the solar energy 782 00:46:25,960 --> 00:46:31,200 Speaker 2: like the wind, it's no wonder. Solar biology is a 783 00:46:31,280 --> 00:46:34,840 Speaker 2: thing because you see what tremendous effect all the different 784 00:46:34,920 --> 00:46:37,760 Speaker 2: things that the Sun puts out can have on the planet. 785 00:46:38,160 --> 00:46:40,759 Speaker 2: Why would it not have an effect on each individual, 786 00:46:40,920 --> 00:46:43,840 Speaker 2: little buggy sized thing walking around on it? 787 00:46:43,920 --> 00:46:44,319 Speaker 3: That's us. 788 00:46:44,800 --> 00:46:48,320 Speaker 4: Yeah, it feels true right also, I guess so I 789 00:46:48,360 --> 00:46:51,680 Speaker 4: get so excited. I almost have like a feeling about this. 790 00:46:51,840 --> 00:46:56,759 Speaker 4: You know, roll the dice Sun versus people. Let's go right, 791 00:46:58,840 --> 00:47:01,320 Speaker 4: It is true though that that's a great point about 792 00:47:01,480 --> 00:47:07,840 Speaker 4: the CMEs. The sun spots. These sun spots are cooler 793 00:47:07,920 --> 00:47:11,320 Speaker 4: and darker areas on the surface of the Sun, and 794 00:47:11,520 --> 00:47:16,279 Speaker 4: they proliferate during the solar maximum, which means that there 795 00:47:16,400 --> 00:47:21,320 Speaker 4: is a higher amount of solar activity, which means first 796 00:47:21,680 --> 00:47:26,560 Speaker 4: humans can learn more about what happens on the Sun, 797 00:47:26,680 --> 00:47:29,799 Speaker 4: the closest star. But it also means, as you said, 798 00:47:29,880 --> 00:47:38,319 Speaker 4: the likelihood of possible Shenanigans increases. CMEs like the thing 799 00:47:38,440 --> 00:47:41,480 Speaker 4: that brought down part of Canada's electric grid back in 800 00:47:41,520 --> 00:47:45,160 Speaker 4: the nineteen eighties. This stuff can happen. There's no way 801 00:47:45,320 --> 00:47:46,480 Speaker 4: to prevent it. 802 00:47:47,120 --> 00:47:51,360 Speaker 2: Yea well, and it's crazy too because it's fascinating subject. 803 00:47:51,400 --> 00:47:53,520 Speaker 2: I'm so glad we did those past episodes because guys, 804 00:47:53,880 --> 00:47:56,640 Speaker 2: I haven't stopped thinking about the Sun on a daily 805 00:47:56,719 --> 00:48:00,879 Speaker 2: basis now, and I literally I wear Outweather dot Com. 806 00:48:00,960 --> 00:48:06,960 Speaker 2: They're like, stop coming here, you're using too much traffic. Yeah, seriously, 807 00:48:07,680 --> 00:48:10,799 Speaker 2: Because the CME that we're talking about here that we've 808 00:48:11,160 --> 00:48:14,480 Speaker 2: discussed in the past, the actual like plasma stuff that 809 00:48:14,600 --> 00:48:17,000 Speaker 2: the Sun can shoot out at Earth if it happens 810 00:48:17,080 --> 00:48:19,880 Speaker 2: to just exactly line up with where the Earth is 811 00:48:20,000 --> 00:48:23,440 Speaker 2: gonna be when that stuff, you know, lands in the 812 00:48:23,480 --> 00:48:25,520 Speaker 2: position of where the Earth is gonna be. But the 813 00:48:25,840 --> 00:48:29,080 Speaker 2: X flares and stuff, I'm I think about those sun 814 00:48:29,160 --> 00:48:32,640 Speaker 2: spots as little geysers of potentiality. 815 00:48:33,200 --> 00:48:33,960 Speaker 3: They're just waiting. 816 00:48:34,080 --> 00:48:36,840 Speaker 2: They that each one has like a percentage chance of 817 00:48:37,200 --> 00:48:40,160 Speaker 2: shooting out just a ton of energy, not even a cme, 818 00:48:40,880 --> 00:48:45,040 Speaker 2: just a bunch of solar energy. Right, and uh, the 819 00:48:45,120 --> 00:48:49,880 Speaker 2: current one has guys an unstable beta gamma magnetic field, 820 00:48:50,120 --> 00:48:52,760 Speaker 2: and there's a ten percent chance that an X flare 821 00:48:52,880 --> 00:48:54,920 Speaker 2: is gonna break the quiet shootout. 822 00:48:55,840 --> 00:48:59,640 Speaker 4: I think of it. A similar analogy would be pimples. Ooh, 823 00:49:00,360 --> 00:49:03,200 Speaker 4: you know what I mean. Yeah, sometimes it just pos 824 00:49:03,719 --> 00:49:07,600 Speaker 4: Sometimes they go away, right. I don't have much personal 825 00:49:07,640 --> 00:49:11,279 Speaker 4: experience with that, but that's a way that I understand it. 826 00:49:11,360 --> 00:49:14,200 Speaker 4: If you think of the Sun's surface like a like 827 00:49:14,320 --> 00:49:19,080 Speaker 4: a skin, the sphere of skin, nothing weird. We also 828 00:49:19,800 --> 00:49:24,520 Speaker 4: we also know that to your question here, Cacau, we 829 00:49:24,760 --> 00:49:29,800 Speaker 4: know that there are specific ways in which solar activity 830 00:49:30,080 --> 00:49:35,360 Speaker 4: does demonstrably affect human and animal behavior. It may not 831 00:49:35,480 --> 00:49:37,760 Speaker 4: be quite on the level of what our buddy Alex 832 00:49:37,960 --> 00:49:42,040 Speaker 4: was arguing for, but we know, for instance, that after 833 00:49:42,680 --> 00:49:47,120 Speaker 4: being deprived of sunlight for some certain threshold of time, 834 00:49:47,840 --> 00:49:52,480 Speaker 4: people will experience a lowering of mood. They'll tend to 835 00:49:52,520 --> 00:49:57,680 Speaker 4: be more depressed, they'll have they'll be sad, whatever that means. 836 00:49:57,800 --> 00:50:01,279 Speaker 4: But there's also a seasonal effective dis or. That's why 837 00:50:01,480 --> 00:50:05,920 Speaker 4: in some countries closer to the polls, school children have 838 00:50:06,280 --> 00:50:09,719 Speaker 4: regular doses of ultraviolet light. You can look this up. 839 00:50:09,840 --> 00:50:13,800 Speaker 4: The studies are there, and it's actually pretty cool. We 840 00:50:14,000 --> 00:50:18,360 Speaker 4: also know that, of course, the heat makes people crazy. 841 00:50:19,320 --> 00:50:22,800 Speaker 4: There's a reason crime sometimes. It's part of the reason 842 00:50:22,880 --> 00:50:26,560 Speaker 4: crime often tends to go up in US cities during 843 00:50:26,600 --> 00:50:29,400 Speaker 4: the summer. Another part is that people aren't in school. 844 00:50:30,280 --> 00:50:34,600 Speaker 4: I'm pointing out not to be an arc. We also 845 00:50:34,800 --> 00:50:38,759 Speaker 4: know that, in addition to happiness or sadness or self 846 00:50:38,840 --> 00:50:45,120 Speaker 4: reported experiences of those states, we know that the weather 847 00:50:45,239 --> 00:50:48,520 Speaker 4: and the activity of the sun has played a tremendous 848 00:50:48,760 --> 00:50:53,880 Speaker 4: role in the history of human civilization. Oh the eclipse. 849 00:50:54,400 --> 00:50:58,399 Speaker 4: God is mad. Time to kill some POWs, right, Oh 850 00:50:59,400 --> 00:51:04,439 Speaker 4: a soul or flair? God is happy or God is mad. 851 00:51:04,920 --> 00:51:06,520 Speaker 4: Let's argue about what that means. 852 00:51:07,440 --> 00:51:12,920 Speaker 2: Yep, mercury is retrograding. Awe, snap, whatever thing you gotta do, 853 00:51:13,680 --> 00:51:14,920 Speaker 2: or just blame it on Mercury. 854 00:51:15,440 --> 00:51:16,160 Speaker 3: Just gotta watch out. 855 00:51:17,000 --> 00:51:21,359 Speaker 4: I'm sorry, officer. As you know, Mercury is in retrograde. 856 00:51:21,480 --> 00:51:26,320 Speaker 4: And I assure you I don't know this python. It 857 00:51:26,480 --> 00:51:28,600 Speaker 4: was in the car when I got here. 858 00:51:29,640 --> 00:51:30,600 Speaker 3: His name is Monty. 859 00:51:30,800 --> 00:51:35,239 Speaker 2: Understand, Guys, I'm still in space weather. Can we do 860 00:51:35,320 --> 00:51:39,480 Speaker 2: a whole episode on this new interstellar object because our 861 00:51:39,560 --> 00:51:42,000 Speaker 2: boy Avy Loeb is back in business. 862 00:51:42,239 --> 00:51:44,800 Speaker 4: Oh yeah, yeah, av's doing some good work on this. 863 00:51:45,600 --> 00:51:49,839 Speaker 4: And the answer officially is absolutely not. We got too 864 00:51:49,920 --> 00:51:54,640 Speaker 4: close last time. No, yeah, we absolutely, We absolutely will 865 00:51:54,719 --> 00:51:56,719 Speaker 4: and we actually know some folks who work with AVI, 866 00:51:57,000 --> 00:51:59,719 Speaker 4: so we'll check in with them as well. 867 00:52:00,080 --> 00:52:00,320 Speaker 3: It is. 868 00:52:00,719 --> 00:52:07,719 Speaker 4: It is big news spaces endlessly fascinating and equal parts horrified. 869 00:52:08,080 --> 00:52:10,120 Speaker 4: Right when you get out into the ink and you 870 00:52:10,200 --> 00:52:13,920 Speaker 4: realize how unpredictable a seemingly predictable universe can be. 871 00:52:14,600 --> 00:52:16,439 Speaker 2: Dude, do you see how close it's coming to Mars. 872 00:52:17,920 --> 00:52:20,840 Speaker 2: It looks like it's doing a flyby of Mars to 873 00:52:20,960 --> 00:52:25,160 Speaker 2: check how things are going down there, right, It's it's crazy. 874 00:52:25,280 --> 00:52:29,440 Speaker 2: It's zero point one nine astronomical units, which is the 875 00:52:29,520 --> 00:52:32,719 Speaker 2: distance average distance between the Earth and the Sun. Yeah, 876 00:52:33,160 --> 00:52:36,040 Speaker 2: zero point one nine. That's hella close. 877 00:52:36,120 --> 00:52:40,640 Speaker 4: Very close. Also, depending on what kind of surveillance gear 878 00:52:41,360 --> 00:52:45,000 Speaker 4: may or may not be a board. Just think about, 879 00:52:45,200 --> 00:52:48,800 Speaker 4: you know, the puny human surveillance gear and the ability 880 00:52:48,880 --> 00:52:51,800 Speaker 4: to see billions of years into the past. So what 881 00:52:52,040 --> 00:52:54,960 Speaker 4: could this thing see if it had better in technology 882 00:52:55,440 --> 00:52:59,040 Speaker 4: or it's just a random rock, like Orgey said, we're 883 00:52:59,080 --> 00:53:00,480 Speaker 4: in a very sleepyighborhood. 884 00:53:00,680 --> 00:53:01,000 Speaker 3: That's it. 885 00:53:01,120 --> 00:53:04,200 Speaker 2: That's all it is. And it's positioning the Sun so 886 00:53:04,320 --> 00:53:09,520 Speaker 2: that it is almost exactly between uh, the Sun is 887 00:53:09,600 --> 00:53:12,360 Speaker 2: in between it and us, so that we can't like 888 00:53:12,480 --> 00:53:14,439 Speaker 2: fully observe it when it's doing this thing with Mars. 889 00:53:14,640 --> 00:53:15,200 Speaker 2: What the hell? 890 00:53:15,840 --> 00:53:23,640 Speaker 3: Yeah, yeah, you know he talks like that, just like 891 00:53:23,719 --> 00:53:27,520 Speaker 3: in conversation, like, what the hell yeah, Tim, Tim Robbins, 892 00:53:27,560 --> 00:53:28,040 Speaker 3: he's the best. 893 00:53:29,120 --> 00:53:32,360 Speaker 4: He does. Yeah. They told me that at a dinner. 894 00:53:32,760 --> 00:53:34,480 Speaker 4: So we have much more to get to. You can 895 00:53:34,560 --> 00:53:38,000 Speaker 4: tell where all as the South says, hats up about 896 00:53:38,160 --> 00:53:42,520 Speaker 4: solar flares and solar activity and interstellar objects. 897 00:53:42,600 --> 00:53:44,120 Speaker 3: So we're gonna I think we can sum it all 898 00:53:44,200 --> 00:53:45,840 Speaker 3: up with the quote from Vivis and butthead just to 899 00:53:45,880 --> 00:53:49,120 Speaker 3: say the sun sucks, you know, but it also is, like, 900 00:53:49,200 --> 00:53:53,040 Speaker 3: you know, the source of all life fine, mixed bag fine. 901 00:53:53,400 --> 00:53:57,760 Speaker 4: Uh so, okay, my bias is showing. Uh tune into, 902 00:53:58,040 --> 00:54:00,480 Speaker 4: uh to tune in to hear that it's going to 903 00:54:00,520 --> 00:54:03,799 Speaker 4: be a grab bag episode. As I was saying, there's 904 00:54:03,920 --> 00:54:07,240 Speaker 4: so much more to explore. Please check out the previous 905 00:54:07,280 --> 00:54:12,080 Speaker 4: episodes we mentioned before we sign off this evening, we 906 00:54:12,320 --> 00:54:17,759 Speaker 4: do want to air an important clarification okay, previously on 907 00:54:17,920 --> 00:54:21,120 Speaker 4: stuff they don't want you to know. In pheromones versus humans, 908 00:54:21,520 --> 00:54:27,600 Speaker 4: we mentioned one of the big inspiration studies for what 909 00:54:27,840 --> 00:54:31,200 Speaker 4: people would later call the study of human pheromones, and 910 00:54:31,280 --> 00:54:36,359 Speaker 4: it was a scientist named mcclitlock who believed that her 911 00:54:36,600 --> 00:54:41,239 Speaker 4: dormmates in college, all of whom were female identifying, had 912 00:54:42,480 --> 00:54:47,200 Speaker 4: a syncing up of schedules with their menstrual cycle. So 913 00:54:47,320 --> 00:54:49,560 Speaker 4: we didn't really co sign this, but we did have 914 00:54:49,719 --> 00:54:53,160 Speaker 4: to mention that was the study that kind of launched 915 00:54:53,200 --> 00:54:57,359 Speaker 4: a thousand ships of scientific inquiry. And then later there 916 00:54:57,480 --> 00:55:00,920 Speaker 4: was this huge back and forth about just the concept 917 00:55:00,960 --> 00:55:06,200 Speaker 4: of menstrual cycles, but the concept of human pheromones overall 918 00:55:06,640 --> 00:55:09,120 Speaker 4: and what role with any they might play in communication. 919 00:55:09,520 --> 00:55:12,200 Speaker 4: Do check it out. It's a really crazy expiration that 920 00:55:12,320 --> 00:55:16,960 Speaker 4: we went on. We also heard from several people like Della. 921 00:55:17,080 --> 00:55:20,480 Speaker 4: Here's what you said, Della. Hi, guys from Beautiful Alaska. Again, 922 00:55:20,680 --> 00:55:23,800 Speaker 4: I just listened to the Pheromones episode and wanted to 923 00:55:24,040 --> 00:55:28,440 Speaker 4: pass on the period sinking myth has been debunked and 924 00:55:28,680 --> 00:55:31,759 Speaker 4: to our note, thoroughly so. And Della you say, here 925 00:55:31,880 --> 00:55:35,080 Speaker 4: are a couple of articles. Thanks for continuing to teach 926 00:55:35,120 --> 00:55:39,080 Speaker 4: and entertain. I am also bonus credit to us from Della. 927 00:55:39,480 --> 00:55:42,520 Speaker 4: I am attaching a picture of my daughter's cats, Kepler 928 00:55:42,760 --> 00:55:46,759 Speaker 4: and Rocket, who definitely didn't have anything to do with 929 00:55:46,920 --> 00:55:51,960 Speaker 4: our neighbors shop fire free, our boys free, Kepler free Rocket. 930 00:55:54,000 --> 00:55:56,600 Speaker 2: Wait, but if there are sinists, we maybe should do 931 00:55:56,719 --> 00:55:57,480 Speaker 2: something about this. 932 00:56:00,040 --> 00:56:02,480 Speaker 4: Do you catch what kind of robot animal do we 933 00:56:02,600 --> 00:56:04,840 Speaker 4: build to catch a feline arsenist? 934 00:56:06,840 --> 00:56:08,120 Speaker 2: I bet a rabbit would work. 935 00:56:09,160 --> 00:56:10,880 Speaker 4: You know, we've already got the rabbits. 936 00:56:11,239 --> 00:56:13,920 Speaker 3: I mean, all felines are their own kinds of arsenists, 937 00:56:14,120 --> 00:56:15,360 Speaker 3: the very least terrorists. 938 00:56:15,800 --> 00:56:20,600 Speaker 4: Yeah, yeah, exactly, they're the fire starters. So we wanted 939 00:56:20,680 --> 00:56:23,640 Speaker 4: to share this because we do think it's important. When 940 00:56:23,640 --> 00:56:27,200 Speaker 4: we're talking about studies, especially studies in the past that 941 00:56:27,280 --> 00:56:31,520 Speaker 4: have proven controversial, we're often talking about their place in history, 942 00:56:32,000 --> 00:56:34,800 Speaker 4: their place in what we call the discourse right or 943 00:56:34,880 --> 00:56:39,320 Speaker 4: the canon, and these kinds of studies can oftentimes be 944 00:56:39,960 --> 00:56:45,120 Speaker 4: important for the inquiry. They inspire more so than their 945 00:56:45,320 --> 00:56:50,560 Speaker 4: singular results or their singular conclusions. So if you want 946 00:56:50,640 --> 00:56:54,920 Speaker 4: to learn more about the current the current state of 947 00:56:55,000 --> 00:56:58,080 Speaker 4: this inquiry, you can go to places like healthline dot com. 948 00:56:58,400 --> 00:57:01,799 Speaker 4: There's an excellent article in The Atlantic, why the Myth 949 00:57:01,880 --> 00:57:05,440 Speaker 4: of period Sinking Won't go Away, by Ashley Fetters. New 950 00:57:05,520 --> 00:57:08,960 Speaker 4: York Times has written about this, The Myth of period Sinking. 951 00:57:09,160 --> 00:57:12,279 Speaker 4: That's by Jim Gunter. And if you want to save 952 00:57:12,480 --> 00:57:16,080 Speaker 4: a little bit of time and just get the straight poop, 953 00:57:16,760 --> 00:57:20,000 Speaker 4: then you can go to Snopes, and Snopes is still 954 00:57:20,040 --> 00:57:22,880 Speaker 4: pretty fire at a lot of this stuff. Do menstrual 955 00:57:22,960 --> 00:57:28,400 Speaker 4: cycles synchronize when women live together? Snopes considers it unproven. 956 00:57:28,960 --> 00:57:33,920 Speaker 4: And the prevailing thought, which is mentioned throughout the literature 957 00:57:34,640 --> 00:57:40,720 Speaker 4: is that the conclusion of that menstrual cycles will sync 958 00:57:40,840 --> 00:57:44,920 Speaker 4: up is more than likely a result of human bias 959 00:57:45,640 --> 00:57:50,960 Speaker 4: and statistical coincidence. And it's it again. It's a thing 960 00:57:51,200 --> 00:57:54,440 Speaker 4: that if you just look at the headline, feels like 961 00:57:54,680 --> 00:57:57,040 Speaker 4: it could be true. And what we take from this 962 00:57:57,840 --> 00:58:00,880 Speaker 4: in all these examples we've explored tonight is just because 963 00:58:00,960 --> 00:58:03,720 Speaker 4: something sounds like it could be or even should be 964 00:58:03,880 --> 00:58:06,760 Speaker 4: true does not make that the case. So thank you 965 00:58:06,880 --> 00:58:09,640 Speaker 4: Della for setting the record straight. Thank you to everybody 966 00:58:09,680 --> 00:58:13,600 Speaker 4: who wrote with a similar response to Della's. Thank you 967 00:58:13,760 --> 00:58:16,720 Speaker 4: to the Cacao Cornosua. It's a big loop, the Lord 968 00:58:16,760 --> 00:58:20,480 Speaker 4: of enjoyment, and of course the messenger. Folks, we can't 969 00:58:20,520 --> 00:58:23,360 Speaker 4: wait for you to join us on our next listener 970 00:58:23,520 --> 00:58:26,920 Speaker 4: mail program. I would love to thank you for the invitation. 971 00:58:27,160 --> 00:58:29,880 Speaker 4: You might be saying, but how, oh, how pre tell 972 00:58:30,280 --> 00:58:33,200 Speaker 4: do I join you on the air. Well, We've got 973 00:58:33,360 --> 00:58:36,680 Speaker 4: not what not too, but three ways. 974 00:58:37,080 --> 00:58:39,440 Speaker 3: It's true. The first of these ways is to find 975 00:58:39,520 --> 00:58:42,240 Speaker 3: us the handle Conspiracy Stuff, where we exist on Facebook 976 00:58:42,280 --> 00:58:44,800 Speaker 3: with our Facebook group Here's where it Gets Crazy, which 977 00:58:44,840 --> 00:58:47,960 Speaker 3: you can also get in on for funzies. You can 978 00:58:48,040 --> 00:58:51,040 Speaker 3: also find us that handle on exfka, Twitter and on 979 00:58:51,240 --> 00:58:54,040 Speaker 3: YouTube with video content to go or for you to enjoy. 980 00:58:54,400 --> 00:58:57,160 Speaker 3: On Instagram and TikTok. You can find us at the 981 00:58:57,160 --> 00:58:58,280 Speaker 3: handle conspiracy Stuff show. 982 00:58:58,960 --> 00:59:01,560 Speaker 2: We have a phone number. You got your phone already? 983 00:59:01,840 --> 00:59:06,680 Speaker 2: Put this in one eight three three st d wytk. 984 00:59:07,200 --> 00:59:09,360 Speaker 2: It's a voicemail system When you call in, you get 985 00:59:09,440 --> 00:59:12,640 Speaker 2: three minutes. Give yourself a cool nickname in the message, 986 00:59:12,720 --> 00:59:14,480 Speaker 2: and let us know in the message if we can 987 00:59:14,600 --> 00:59:16,520 Speaker 2: use your name and message on the air. If you 988 00:59:16,640 --> 00:59:20,160 Speaker 2: instead want to send us words in any language you choose, 989 00:59:20,880 --> 00:59:22,040 Speaker 2: why not send us an email. 990 00:59:22,160 --> 00:59:25,040 Speaker 4: We are the entities who read each piece of correspondence 991 00:59:25,080 --> 00:59:29,000 Speaker 4: we receive. Be well aware, yet unafraid. Sometimes the void 992 00:59:29,120 --> 00:59:32,920 Speaker 4: writes back. Now consider that sort of like office hours. 993 00:59:33,240 --> 00:59:36,200 Speaker 4: If you have any strange question you'd like to send us, 994 00:59:36,720 --> 00:59:39,240 Speaker 4: or if you would like to drop us alide and 995 00:59:39,520 --> 00:59:43,840 Speaker 4: just receive a random fact from our research with absolutely 996 00:59:43,920 --> 00:59:48,240 Speaker 4: no context, then let's play some reindeer games. We're out 997 00:59:48,240 --> 00:59:51,400 Speaker 4: here in the dark conspiracy at iHeartRadio dot com. 998 01:00:09,960 --> 01:00:12,000 Speaker 2: Stuff they Don't want you to Know is a production 999 01:00:12,160 --> 01:00:16,640 Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 1000 01:00:16,760 --> 01:00:19,600 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.