1 00:00:00,200 --> 00:00:04,560 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,120 --> 00:00:08,920 Speaker 1: We are back Coast Coast AM. Connie Willis with you. Hey, 3 00:00:08,960 --> 00:00:12,440 Speaker 1: please come find me outside of here, because you're really 4 00:00:12,480 --> 00:00:15,239 Speaker 1: not outside of here because I talk about coast all 5 00:00:15,240 --> 00:00:17,960 Speaker 1: the time. But it's Connie Willis dot com. I've got 6 00:00:17,960 --> 00:00:20,520 Speaker 1: my own shows as well on the side, or they're 7 00:00:20,520 --> 00:00:24,079 Speaker 1: doing some video shows investigating calling in from time to 8 00:00:24,160 --> 00:00:26,920 Speaker 1: time with the where's Willis here? But we've got Connie 9 00:00:26,960 --> 00:00:31,480 Speaker 1: after Dark Blue Rock Talk. Connie Willis the podcast everywhere, 10 00:00:31,600 --> 00:00:34,599 Speaker 1: So come check me out. Just simply go to Connie 11 00:00:34,600 --> 00:00:38,280 Speaker 1: Willis dot com. All right, that's it. Make it easy 12 00:00:38,360 --> 00:00:41,159 Speaker 1: and simple for you, Connie Willis dot com and I 13 00:00:41,200 --> 00:00:44,680 Speaker 1: look forward to it. It's fun to add you to 14 00:00:44,720 --> 00:00:47,640 Speaker 1: our group of blue rockers and cadets and it's just 15 00:00:47,680 --> 00:00:50,840 Speaker 1: a lot of fun. Okay. Well, one of our blue 16 00:00:50,920 --> 00:00:54,360 Speaker 1: rockers and cadets, he's both of them, is our guest tonight, 17 00:00:54,560 --> 00:00:58,600 Speaker 1: Lynn Buchanon talking to us about his you know, he's 18 00:00:58,920 --> 00:01:03,000 Speaker 1: our psychic spot, our remote viewer that he's talking about 19 00:01:03,080 --> 00:01:06,279 Speaker 1: what he's doing now for the future remote view Ranch 20 00:01:06,920 --> 00:01:10,080 Speaker 1: and remote View Ranch. You can learn more about it 21 00:01:10,120 --> 00:01:13,240 Speaker 1: at remote view a ranch dot com. You can also 22 00:01:13,400 --> 00:01:15,520 Speaker 1: go to Coast to coastam dot com. We have it 23 00:01:15,560 --> 00:01:17,080 Speaker 1: on the front. You'll see a picture of him. He's 24 00:01:17,080 --> 00:01:20,000 Speaker 1: got a little video going by and you can learn 25 00:01:20,000 --> 00:01:21,600 Speaker 1: more about it and you can check out their go 26 00:01:21,680 --> 00:01:25,040 Speaker 1: fund meat link as well to help them build this 27 00:01:25,160 --> 00:01:26,800 Speaker 1: up so that you can be a part of it, 28 00:01:27,200 --> 00:01:31,280 Speaker 1: and maybe maybe you help train maybe you're a trainee, 29 00:01:31,360 --> 00:01:34,600 Speaker 1: or maybe you just are somebody that benefits from what 30 00:01:34,760 --> 00:01:38,360 Speaker 1: they end up doing there. Now, Lynn, we're going to 31 00:01:38,440 --> 00:01:42,080 Speaker 1: be taking some calls, so I want you to be 32 00:01:42,120 --> 00:01:45,480 Speaker 1: ready for that. But a lot of people want to 33 00:01:45,560 --> 00:01:50,560 Speaker 1: know I tell people, so a whole bunch of people 34 00:01:50,560 --> 00:01:54,240 Speaker 1: don't call and ask about a missing child, a missing pet, 35 00:01:54,480 --> 00:01:57,720 Speaker 1: a missing friend. Can you tell them what to go 36 00:01:57,760 --> 00:02:03,680 Speaker 1: ahead and do well that we will bring into with 37 00:02:03,800 --> 00:02:10,040 Speaker 1: all of the military train controlled room up viewers. We 38 00:02:10,320 --> 00:02:13,960 Speaker 1: have found that if we work for the family, it 39 00:02:14,000 --> 00:02:18,200 Speaker 1: puts the family on a roller coaster, and you know, 40 00:02:18,320 --> 00:02:23,240 Speaker 1: the anemotional roller coaster, and they often go out and 41 00:02:23,320 --> 00:02:26,000 Speaker 1: try to do things for themselves and it messes up 42 00:02:26,919 --> 00:02:32,919 Speaker 1: evidence and all that. So with the controlled room up viewers, 43 00:02:34,040 --> 00:02:38,120 Speaker 1: if you want one of us to work for missing 44 00:02:38,200 --> 00:02:43,600 Speaker 1: person or something. You contact the police department, the detective 45 00:02:43,680 --> 00:02:48,280 Speaker 1: that is in charge of the case, and put him 46 00:02:48,320 --> 00:02:56,240 Speaker 1: in contact with us. And we never charge, you know, 47 00:02:56,360 --> 00:03:01,040 Speaker 1: we just we want to get criminals and molesters and 48 00:03:01,160 --> 00:03:04,839 Speaker 1: all that off the streets, and and so we never 49 00:03:04,960 --> 00:03:10,520 Speaker 1: charge for police work. But we're we're always willing to help, 50 00:03:11,400 --> 00:03:14,040 Speaker 1: but we have found that it can be very destructive 51 00:03:14,800 --> 00:03:17,920 Speaker 1: to the case and to the family to work for 52 00:03:17,960 --> 00:03:21,280 Speaker 1: the family, So we only work through the police. So 53 00:03:21,320 --> 00:03:23,600 Speaker 1: when they go to the police and say, hey, who's 54 00:03:23,639 --> 00:03:28,760 Speaker 1: working on the missing person? You? Um you you tell 55 00:03:28,840 --> 00:03:33,200 Speaker 1: them get ahold of these folks? Where where? Who would 56 00:03:33,240 --> 00:03:37,720 Speaker 1: who would they call? They would refer them to my 57 00:03:37,840 --> 00:03:43,320 Speaker 1: website or to Paul Smith's website or um Gail who 58 00:03:43,400 --> 00:03:51,320 Speaker 1: six website. She's a detective who uses highly trained oh 59 00:03:51,720 --> 00:03:56,840 Speaker 1: CR veers in the military method and highly trained and 60 00:03:56,920 --> 00:04:01,560 Speaker 1: highly qualified CR veers. Gail's She's cool as they come, 61 00:04:01,680 --> 00:04:04,680 Speaker 1: isn't she. She's she I love her. She's one of 62 00:04:04,720 --> 00:04:08,960 Speaker 1: the best. I tell you, Yeah, she's amazing. So get 63 00:04:09,000 --> 00:04:12,280 Speaker 1: a hold of you at cr viewer dot com. If 64 00:04:12,280 --> 00:04:16,520 Speaker 1: that's the case, Paul Smith, which what's Paul's Paul Smith? 65 00:04:16,960 --> 00:04:22,400 Speaker 1: There's a Paul H. Smith. I'm not sure he's gonna 66 00:04:22,480 --> 00:04:24,480 Speaker 1: kill us right now. He's like already gone, man, I'm 67 00:04:24,520 --> 00:04:30,200 Speaker 1: gonna send some bad vibes out. Sorry, Paul, he's on 68 00:04:30,279 --> 00:04:32,599 Speaker 1: here too. You can look up him on Coast Coast 69 00:04:32,640 --> 00:04:37,080 Speaker 1: am dot com and then, uh, you can lead them 70 00:04:37,160 --> 00:04:40,080 Speaker 1: to anybody. What about when people, because we got other 71 00:04:40,080 --> 00:04:42,560 Speaker 1: people that want to call about their dogs. What would 72 00:04:42,600 --> 00:04:48,520 Speaker 1: you say about that their pets? We we have so 73 00:04:48,600 --> 00:04:52,520 Speaker 1: much work on missing children and missing people with missing 74 00:04:52,560 --> 00:04:58,000 Speaker 1: evidence and all that, uh, which is also what we're 75 00:04:58,000 --> 00:05:00,440 Speaker 1: going to train the police to do so we don't 76 00:05:00,480 --> 00:05:05,239 Speaker 1: have to do it. But we do so much work 77 00:05:05,279 --> 00:05:10,359 Speaker 1: on that that we just honestly never have time to, 78 00:05:11,000 --> 00:05:13,520 Speaker 1: you know, to do pets. And I know that pets 79 00:05:13,560 --> 00:05:18,120 Speaker 1: are as much of the family as children and all that, 80 00:05:19,160 --> 00:05:24,120 Speaker 1: but we just well, I personally, I never have time 81 00:05:24,160 --> 00:05:28,440 Speaker 1: to do that. I was telling you the other night 82 00:05:28,480 --> 00:05:32,600 Speaker 1: on the Blue Rockers. I have a stack of targets 83 00:05:32,640 --> 00:05:37,320 Speaker 1: that I want to do personally, and I keep that 84 00:05:37,400 --> 00:05:41,920 Speaker 1: stack right beside the stack of missing children. There's still 85 00:05:42,040 --> 00:05:46,040 Speaker 1: two hundred an average of about two hundred kids who 86 00:05:46,080 --> 00:05:50,320 Speaker 1: go missing in the US every day. Some are runaways, 87 00:05:50,440 --> 00:05:56,200 Speaker 1: but some are you know, some are not. And I 88 00:05:56,320 --> 00:05:59,480 Speaker 1: keep that stack right by right next to the missing 89 00:05:59,560 --> 00:06:04,440 Speaker 1: children stack. I will never get to my stack. Well, 90 00:06:04,480 --> 00:06:07,680 Speaker 1: you know what, there's actually Lynn, there's actually people that 91 00:06:07,800 --> 00:06:11,719 Speaker 1: do that and that you've probably even taught how to 92 00:06:11,800 --> 00:06:15,200 Speaker 1: do things, and they they actually like to look for 93 00:06:15,279 --> 00:06:21,039 Speaker 1: people's pets. Oh yo. So maybe getting a list of 94 00:06:21,080 --> 00:06:23,880 Speaker 1: that at one point so you can always just you know, 95 00:06:23,920 --> 00:06:26,279 Speaker 1: when they do contact you say, get a hold of 96 00:06:26,320 --> 00:06:29,720 Speaker 1: her or him or her or him. But yeah, there's 97 00:06:29,960 --> 00:06:32,320 Speaker 1: quite a few people that do that. But I just 98 00:06:32,360 --> 00:06:34,680 Speaker 1: wanted to let you know, those of you that we're 99 00:06:34,880 --> 00:06:37,080 Speaker 1: calling in for that, I wanted you to just go 100 00:06:37,120 --> 00:06:39,080 Speaker 1: ahead and you know, hear it from Lynn himself of 101 00:06:39,160 --> 00:06:42,040 Speaker 1: how to take care of those things. But we've got 102 00:06:42,080 --> 00:06:44,000 Speaker 1: some other people, got some other questions. Let's go to 103 00:06:44,040 --> 00:06:49,320 Speaker 1: wild card line number two. Cornell. Yes, welcome to Coast 104 00:06:49,360 --> 00:06:52,279 Speaker 1: to coast, am, How are you. What's going on? Happy Easter? 105 00:06:52,400 --> 00:06:55,680 Speaker 1: Hope you had a good one. Yeah, Well, Connie Willis, 106 00:06:55,800 --> 00:06:58,440 Speaker 1: I'm on with you. So it's made it a grand easter, 107 00:06:58,560 --> 00:07:02,760 Speaker 1: and I hope all the coast a grand eastern. I 108 00:07:02,839 --> 00:07:05,760 Speaker 1: know you're getting ready for the Kentucky Derby. You'll be 109 00:07:05,839 --> 00:07:12,600 Speaker 1: heading back to louis Baby, getting ready for that Kentucky derby. Honey. 110 00:07:13,000 --> 00:07:17,680 Speaker 1: But Connie, I just wanted to tell everybody Lynn you 111 00:07:17,680 --> 00:07:21,560 Speaker 1: were in the military. I was too military police had 112 00:07:21,600 --> 00:07:25,600 Speaker 1: a secret to topic. I was just telling Donna Walker. 113 00:07:25,640 --> 00:07:28,680 Speaker 1: I want to say one more comment about you, Connie. 114 00:07:28,960 --> 00:07:30,840 Speaker 1: That was the best music. I used to listen to 115 00:07:31,080 --> 00:07:33,000 Speaker 1: music when I was in high school. And then I 116 00:07:33,040 --> 00:07:36,960 Speaker 1: went to Louisiana. Check with that great young lady named 117 00:07:37,040 --> 00:07:44,480 Speaker 1: Kim Mulki helped win the LSU Tigers championship. Oh, I 118 00:07:44,520 --> 00:07:50,640 Speaker 1: don't know if you were a basketball player. If you're 119 00:07:50,640 --> 00:07:53,960 Speaker 1: in Kentucky, if you're from Kentucky, you play basketball. It's 120 00:07:54,040 --> 00:07:56,560 Speaker 1: just you know, you're born with a basketball in your hand, 121 00:07:58,000 --> 00:08:05,400 Speaker 1: big blue, big yeah. Now, mister mc taggard, I was 122 00:08:05,440 --> 00:08:09,920 Speaker 1: telling Donna to call screener Donna Walker with this AI 123 00:08:10,000 --> 00:08:13,440 Speaker 1: technology that's coming out which can read minds. And then 124 00:08:13,520 --> 00:08:17,280 Speaker 1: George had on his news segment where a guy the 125 00:08:17,400 --> 00:08:20,960 Speaker 1: AI told him to kill itself and he killed himself. Now, 126 00:08:20,960 --> 00:08:23,920 Speaker 1: I know remote viewing and stuff like that where y'all 127 00:08:23,920 --> 00:08:27,240 Speaker 1: can look into the future from what I see from 128 00:08:27,240 --> 00:08:29,960 Speaker 1: what I read in the Bible and stuff. This AI 129 00:08:30,080 --> 00:08:34,880 Speaker 1: technology is anti christ technology and stuff, and I think 130 00:08:34,960 --> 00:08:38,960 Speaker 1: within the next two to ten years they probably won't 131 00:08:39,000 --> 00:08:42,960 Speaker 1: be an America anything because we're gonna turn our sales 132 00:08:43,000 --> 00:08:45,720 Speaker 1: over to this AI technology. So what do you think 133 00:08:45,760 --> 00:08:52,920 Speaker 1: about AI and the future? I think AI is extremely 134 00:08:53,320 --> 00:08:57,880 Speaker 1: useful tool if we use it and if we control it. 135 00:08:59,040 --> 00:09:04,080 Speaker 1: But when the day comes as it controls us, we're toast. 136 00:09:05,960 --> 00:09:11,760 Speaker 1: It's over, you know, So what do you His other 137 00:09:11,800 --> 00:09:13,800 Speaker 1: part was, how do you think it's going to affect 138 00:09:13,800 --> 00:09:17,960 Speaker 1: the future of remote viewing? Oh, the future of remote 139 00:09:18,000 --> 00:09:27,439 Speaker 1: viewing with aim of remote viewing, which is the common 140 00:09:27,480 --> 00:09:32,320 Speaker 1: word these days for being psychic, it's going to surpass it, 141 00:09:33,440 --> 00:09:38,120 Speaker 1: the controlled remote viewing. I don't think it has a chance. 142 00:09:40,000 --> 00:09:46,040 Speaker 1: We can do better. Okay, hmmm, let me let's let's 143 00:09:46,080 --> 00:09:50,679 Speaker 1: dissect what you just said. Okay, So he was concerned 144 00:09:50,720 --> 00:09:54,199 Speaker 1: about the AI and the future of remote viewing, how 145 00:09:54,240 --> 00:09:56,360 Speaker 1: that's going to mess with it? And you're saying AI 146 00:09:56,600 --> 00:10:02,600 Speaker 1: is just going to overcome it. Oh. No, remote viewing 147 00:10:04,200 --> 00:10:09,400 Speaker 1: is the new age word for psychic. And you have 148 00:10:10,400 --> 00:10:15,439 Speaker 1: crystal ball remote viewers, pendulum remote viewers, tea leaf remote 149 00:10:15,520 --> 00:10:19,480 Speaker 1: viewers and all that. The controlled remote viewing that was 150 00:10:19,559 --> 00:10:25,920 Speaker 1: done by the military. AI can't match it. It can 151 00:10:25,960 --> 00:10:28,960 Speaker 1: do pretty well, it can do pretty well, but it 152 00:10:29,040 --> 00:10:34,720 Speaker 1: can't match the military controlled remote viewing. Now as far 153 00:10:34,760 --> 00:10:42,200 Speaker 1: as psychics, tea leaf readers and all that, yeah, AI 154 00:10:42,320 --> 00:10:52,160 Speaker 1: will surpress that. H So you know, maybe I'm just 155 00:10:52,200 --> 00:10:56,960 Speaker 1: not getting this AI thing. What I don't get it? Okay, 156 00:10:57,120 --> 00:11:04,000 Speaker 1: artificial intelligence taking over computer. Artificial intelligence can take thousands 157 00:11:04,040 --> 00:11:10,280 Speaker 1: and thousands or millions of data facts and predict the probability. 158 00:11:12,040 --> 00:11:16,280 Speaker 1: And if it gets enough data facts, it can pretty 159 00:11:16,320 --> 00:11:23,880 Speaker 1: accurately predict what's going to happen. But when you get 160 00:11:23,920 --> 00:11:28,680 Speaker 1: down to an individual like what a person will do, 161 00:11:29,679 --> 00:11:35,040 Speaker 1: or a leader of a country will do, or a 162 00:11:35,080 --> 00:11:39,360 Speaker 1: military leader. When it gets down to the individual like that, 163 00:11:42,520 --> 00:11:49,600 Speaker 1: it it can't deal with chaos and with the uncertainty. 164 00:11:50,480 --> 00:11:54,600 Speaker 1: And so it collects data points, puts them all together 165 00:11:55,600 --> 00:12:02,760 Speaker 1: and predicts from those data points that have already happened. Um. 166 00:12:04,480 --> 00:12:08,400 Speaker 1: And that's how that's how the AI predicts the future. 167 00:12:10,840 --> 00:12:16,840 Speaker 1: It predicts the probability. And the AI they're coming out 168 00:12:16,880 --> 00:12:21,720 Speaker 1: with it now is really pretty good at it. Well. 169 00:12:21,760 --> 00:12:24,040 Speaker 1: And you said, if we don't watch it, if we're 170 00:12:24,080 --> 00:12:26,760 Speaker 1: not careful, it can totally take over, like in all 171 00:12:26,760 --> 00:12:30,959 Speaker 1: the movies that you know we go to watch. Well, 172 00:12:31,000 --> 00:12:35,360 Speaker 1: it's like, okay, I don't want to bring up a 173 00:12:35,400 --> 00:12:41,960 Speaker 1: political subject here. Digital digital currency that's coming probably this year, 174 00:12:42,800 --> 00:12:49,760 Speaker 1: UM means that the government knows every penny that you spend, 175 00:12:50,000 --> 00:12:53,680 Speaker 1: what you pend, what you spend it on, every money, 176 00:12:53,800 --> 00:12:58,320 Speaker 1: every penny that you get, and where it comes from. 177 00:12:59,120 --> 00:13:07,400 Speaker 1: And let's say then that the AI, UM, you want 178 00:13:07,400 --> 00:13:09,640 Speaker 1: to buy a car or something like that, and the 179 00:13:09,679 --> 00:13:15,920 Speaker 1: AI predicts you won't make your fifteenth payment and so 180 00:13:16,480 --> 00:13:21,520 Speaker 1: guess what, you can no longer buy a car and uh, 181 00:13:21,840 --> 00:13:26,760 Speaker 1: and you know our house or whatever and m and 182 00:13:27,160 --> 00:13:33,280 Speaker 1: if the AI, if people start allowing the AI and 183 00:13:33,440 --> 00:13:37,960 Speaker 1: its prediction to control what we do and to control 184 00:13:38,000 --> 00:13:42,200 Speaker 1: our businesses. And you know, when digital currency comes in 185 00:13:42,400 --> 00:13:46,640 Speaker 1: and the government owns every single penny, do you no 186 00:13:46,679 --> 00:13:52,480 Speaker 1: longer have free enterprise? And if we let the AI 187 00:13:52,800 --> 00:13:58,920 Speaker 1: take over, then, like I say, our freedom and everything 188 00:13:59,040 --> 00:14:03,600 Speaker 1: we're toasted. And it's not only with digital currency, it's 189 00:14:04,720 --> 00:14:11,120 Speaker 1: it's with our medical bills, in with our medicine. When 190 00:14:11,200 --> 00:14:20,880 Speaker 1: AI oh predicts that you know you will be you 191 00:14:20,920 --> 00:14:25,520 Speaker 1: will from your medical records, you will be sick so 192 00:14:25,600 --> 00:14:29,080 Speaker 1: many days of the year a company won't hurry you 193 00:14:30,960 --> 00:14:37,480 Speaker 1: and h and yeah. So when AI takes over and 194 00:14:37,760 --> 00:14:48,400 Speaker 1: we let AI run things, Yeah, we're toasted. M hm. Okay, 195 00:14:48,480 --> 00:14:52,880 Speaker 1: let's uh, let's brighten it up a little bit. We'll 196 00:14:52,880 --> 00:14:56,680 Speaker 1: talk about the remote view ranch, uh and good things 197 00:14:56,680 --> 00:14:58,800 Speaker 1: that are going to be happening there. Let's uh hit 198 00:14:58,840 --> 00:15:02,160 Speaker 1: the phone to your welcome line number one. Thomas out 199 00:15:02,200 --> 00:15:06,640 Speaker 1: of Lahoya, California. Hey there, Thomas, how are you hi? Connie, 200 00:15:06,800 --> 00:15:13,400 Speaker 1: Happy Easter and a pleasure to hear your hands on approach, 201 00:15:13,800 --> 00:15:18,080 Speaker 1: hands on approach to the coast to coast paranormal and 202 00:15:18,280 --> 00:15:23,320 Speaker 1: I appreciate that. And Lynn Buchanon, thank you for your service, sir. 203 00:15:24,120 --> 00:15:28,800 Speaker 1: And give a comment, quick comment and a question. And 204 00:15:30,200 --> 00:15:36,160 Speaker 1: the comment is have there been Well, in a couple 205 00:15:36,120 --> 00:15:41,400 Speaker 1: of years, will have four American astronauts circling the Moon. 206 00:15:42,240 --> 00:15:48,320 Speaker 1: And I'm curious based on that Ingo Swan talked about 207 00:15:48,480 --> 00:15:54,680 Speaker 1: extraterrestrial installations on the Moon. I'm curious if there have 208 00:15:54,880 --> 00:15:59,720 Speaker 1: been what you call quote area books unquote that have 209 00:15:59,800 --> 00:16:08,600 Speaker 1: been prepared for our astronauts concerning extraterrestrial installations culture on 210 00:16:08,640 --> 00:16:11,760 Speaker 1: the Moon. Oh maybe you listen, that's that's what we're 211 00:16:11,800 --> 00:16:17,240 Speaker 1: training people to do. Now, yeah, what else can you 212 00:16:17,280 --> 00:16:21,440 Speaker 1: tell them about it? Which, by the way, yeah, good question, Thomas, Yeah, yeah, yeah, 213 00:16:21,520 --> 00:16:25,120 Speaker 1: what what else can you tell about that? Well, we're 214 00:16:25,120 --> 00:16:28,840 Speaker 1: training people to do that now. So far those things 215 00:16:28,920 --> 00:16:35,240 Speaker 1: have not been done. But because of this task, I got, 216 00:16:35,440 --> 00:16:43,280 Speaker 1: you know, from the UM space and lunar research people 217 00:16:43,920 --> 00:16:47,680 Speaker 1: and what was their name? Again, I didn't give their name, 218 00:16:48,040 --> 00:16:52,880 Speaker 1: UM number two. I attempted twice. I just want everybody 219 00:16:52,880 --> 00:16:55,800 Speaker 1: know I attempted twice. I get to work next time 220 00:16:55,880 --> 00:17:04,200 Speaker 1: either of we have developed that tool, and now then 221 00:17:04,240 --> 00:17:07,439 Speaker 1: we're training people to do it. Yeah, and I think 222 00:17:07,520 --> 00:17:11,560 Speaker 1: it's necessary. I really do. Listen to more Coast to 223 00:17:11,600 --> 00:17:15,119 Speaker 1: Coast AM every weeknight at one a m. Eastern and 224 00:17:15,359 --> 00:17:17,760 Speaker 1: go to Coast to Coast am dot com for more