1 00:00:03,000 --> 00:00:06,040 Speaker 1: It's now time for Cannabis Talk one oh one with Blue, 2 00:00:06,400 --> 00:00:09,719 Speaker 1: Joe Grande, and Mark and Craig Wasserman the Pot Brothers 3 00:00:09,760 --> 00:00:13,520 Speaker 1: at Law. We're the world's number one podcast for everything cannabis. 4 00:00:13,560 --> 00:00:15,440 Speaker 1: Hello and welcome to Cannabis Talk one oh one, the 5 00:00:15,440 --> 00:00:18,239 Speaker 1: world's number one source for everything cannabis. My name is Blue. 6 00:00:18,239 --> 00:00:20,880 Speaker 1: Alongside of me is Joe Grande. How are you doing, Joe, 7 00:00:20,880 --> 00:00:23,760 Speaker 1: I'm doing great. Mr Right. Thank you guys so much 8 00:00:23,760 --> 00:00:26,160 Speaker 1: for listening to our podcast, Cannabis Talk one oh one, 9 00:00:26,280 --> 00:00:28,760 Speaker 1: all the way around the world. It's so great for 10 00:00:28,920 --> 00:00:31,400 Speaker 1: have you guys with us today as we are still 11 00:00:31,440 --> 00:00:35,200 Speaker 1: all the way live in beautiful Pasadena, California at can 12 00:00:35,240 --> 00:00:38,360 Speaker 1: Mead and so many interesting people last night as we 13 00:00:38,720 --> 00:00:41,240 Speaker 1: hung out with folks at the v I P dinner 14 00:00:41,400 --> 00:00:44,760 Speaker 1: and it continues today. You heard us talk about this, folks, 15 00:00:44,760 --> 00:00:46,199 Speaker 1: can Meade is the place you want to be. I 16 00:00:46,280 --> 00:00:48,480 Speaker 1: geeked out telling Shannel on the phone last night, going, 17 00:00:49,240 --> 00:00:51,040 Speaker 1: you gotta meet these two nurses. You know that I 18 00:00:51,040 --> 00:00:53,000 Speaker 1: could like, let's just walk by, right, I like these 19 00:00:53,040 --> 00:00:54,720 Speaker 1: two nurses. Blue and I both looked at each other 20 00:00:54,760 --> 00:00:56,120 Speaker 1: and said those would be the ones that would like 21 00:00:56,160 --> 00:00:57,320 Speaker 1: you would hit and she goes, oh my god, I 22 00:00:57,360 --> 00:00:59,960 Speaker 1: want to come to something like that, the first time 23 00:01:00,720 --> 00:01:03,200 Speaker 1: she said I want to and the first time in 24 00:01:03,280 --> 00:01:06,200 Speaker 1: a six months that we bonded. So there was two 25 00:01:06,200 --> 00:01:09,560 Speaker 1: good things about that last night conversation. That was a 26 00:01:09,600 --> 00:01:12,480 Speaker 1: positive thing, all coming from Canba. That all being said, 27 00:01:12,520 --> 00:01:14,520 Speaker 1: you guys, check out our website, Cannabis Talk one on 28 00:01:14,560 --> 00:01:16,040 Speaker 1: one dot com is we are the world's number one 29 00:01:16,040 --> 00:01:18,360 Speaker 1: source for everything cannabis, and we have so many great 30 00:01:18,440 --> 00:01:20,120 Speaker 1: articles and blogs on the side, and call us up 31 00:01:20,160 --> 00:01:23,399 Speaker 1: any time and say hello one. Go check out our 32 00:01:23,400 --> 00:01:25,680 Speaker 1: Instagram page for daty news and so much more at 33 00:01:25,720 --> 00:01:28,399 Speaker 1: Cannabis Talk one on one. Blue is at the number one, 34 00:01:28,520 --> 00:01:32,039 Speaker 1: Christopher writes, and I am at Joe grand A fifty two. 35 00:01:32,360 --> 00:01:34,679 Speaker 1: And you guys, if you're looking for a high quality seed, 36 00:01:34,720 --> 00:01:36,679 Speaker 1: make sure you had the Rocket Seeds dot com or 37 00:01:36,680 --> 00:01:39,640 Speaker 1: go to Instagram at rocket Underscore Seeds. They got those 38 00:01:39,640 --> 00:01:43,240 Speaker 1: good old trusted cannabis seeds folks at a great price, 39 00:01:43,840 --> 00:01:47,840 Speaker 1: that's right, a fair price. Go to rocket seeds dot com. 40 00:01:47,840 --> 00:01:49,920 Speaker 1: Our guests right now. This guy didn't realize he was 41 00:01:49,920 --> 00:01:52,320 Speaker 1: gonna be our guest when he I was talking to 42 00:01:52,560 --> 00:01:54,760 Speaker 1: so much earlier, Blue, that I can tell you he's 43 00:01:54,760 --> 00:01:56,720 Speaker 1: a skier, he's got kids, he's got all these things. 44 00:01:56,840 --> 00:01:59,000 Speaker 1: Without knowing I was gonna interview him, right, I didn't 45 00:01:59,000 --> 00:02:00,800 Speaker 1: know that he's gonna come on the shows. A doctor 46 00:02:01,320 --> 00:02:08,640 Speaker 1: John McKay, is that right, from the Institute of Extraction Technology. Now, 47 00:02:08,680 --> 00:02:13,120 Speaker 1: this man Blue is a very obviously doctor, well educated man. 48 00:02:13,160 --> 00:02:15,760 Speaker 1: I forgot this BA in chemistry from St. Lawrence University, 49 00:02:15,760 --> 00:02:18,480 Speaker 1: went to Nicholas College, Villanova University, gets his PhD in 50 00:02:18,560 --> 00:02:22,760 Speaker 1: chemistry at a University of Vermont. And not only is 51 00:02:22,760 --> 00:02:24,720 Speaker 1: he just a good dude. Like I said off top, John, 52 00:02:24,760 --> 00:02:26,560 Speaker 1: I didn't know when you were coming to sit here, doctor, 53 00:02:26,560 --> 00:02:29,320 Speaker 1: that I was going to be interviewing you. So my 54 00:02:29,440 --> 00:02:32,760 Speaker 1: first impression of you was just a cool dude, right, 55 00:02:32,800 --> 00:02:34,840 Speaker 1: like this guy that comes up to us and starts talking, 56 00:02:34,840 --> 00:02:38,680 Speaker 1: going Wow, isn't this a great, normal, nice man who 57 00:02:38,680 --> 00:02:41,160 Speaker 1: oh happens to be a doctor named Cool? So my 58 00:02:41,200 --> 00:02:43,280 Speaker 1: point is that's how I meet this guy this morning, 59 00:02:43,280 --> 00:02:46,480 Speaker 1: which is great. And he started to focus though, which 60 00:02:46,480 --> 00:02:48,720 Speaker 1: I loved learning and reading about him on the scientific 61 00:02:48,760 --> 00:02:52,760 Speaker 1: principles of extraction and testing of cannabis. In two thousand twelve, 62 00:02:54,120 --> 00:02:56,440 Speaker 1: and it's funny Blue because before he wasn't talk that. 63 00:02:56,560 --> 00:02:58,519 Speaker 1: I started talking about my wife and sole state of 64 00:02:58,480 --> 00:03:01,360 Speaker 1: about everything I's got it said, and about smoking, how 65 00:03:01,400 --> 00:03:03,040 Speaker 1: I don't smoke. And I was just talking to him, 66 00:03:03,080 --> 00:03:05,120 Speaker 1: like you know what I'm saying, like he's going a 67 00:03:05,120 --> 00:03:07,800 Speaker 1: break conversation with John. He knew though he was coming on. 68 00:03:08,120 --> 00:03:09,959 Speaker 1: I'm sure he did. I didn't know. But my point is, 69 00:03:10,240 --> 00:03:12,960 Speaker 1: and we're talking at John's not the smoking guy. He's 70 00:03:12,960 --> 00:03:15,600 Speaker 1: not sitting here, you know, John's I'm a sure gentleman. 71 00:03:16,000 --> 00:03:19,359 Speaker 1: I'm fifty. He's definitely probably older than me. I asked 72 00:03:19,440 --> 00:03:21,560 Speaker 1: him a few times, of course he has in the past, 73 00:03:21,560 --> 00:03:23,040 Speaker 1: and then he goes, no, look at my tie. This 74 00:03:23,120 --> 00:03:24,880 Speaker 1: is what I do. And I go, what is it? Oh, 75 00:03:24,919 --> 00:03:27,959 Speaker 1: that's the extraction technology. So my point is, I've talked 76 00:03:28,000 --> 00:03:30,200 Speaker 1: to this guy not realizing that, you know, the principles 77 00:03:30,240 --> 00:03:32,919 Speaker 1: of extraction and testing of cannabis is two thousand and twelve, 78 00:03:32,919 --> 00:03:35,680 Speaker 1: Like I said, he'd been doing with few regulations and 79 00:03:35,840 --> 00:03:39,960 Speaker 1: uh and fewer standards operating procedures existed. So the man's 80 00:03:40,000 --> 00:03:42,000 Speaker 1: been learning and doing everything about this with all the 81 00:03:42,040 --> 00:03:45,440 Speaker 1: knowledge that he has already, and he's a proven smart guy, right, 82 00:03:45,480 --> 00:03:48,960 Speaker 1: So learning about the power of cannabis and seizures and 83 00:03:49,040 --> 00:03:55,000 Speaker 1: epilepsy motivated him to take his studies further. And his 84 00:03:55,160 --> 00:04:00,360 Speaker 1: sister lived with and passed away due to see yours, 85 00:04:00,760 --> 00:04:03,200 Speaker 1: which I didn't find that out in the conversation with him, 86 00:04:03,200 --> 00:04:06,800 Speaker 1: So I'm sorry to hear that, John, John's curiosity took 87 00:04:06,920 --> 00:04:12,400 Speaker 1: roots and he became determined to bring science to this process. 88 00:04:13,000 --> 00:04:16,480 Speaker 1: All that being said, John, it's just once again the 89 00:04:16,520 --> 00:04:19,400 Speaker 1: tragic story that I've been saying with people that we've 90 00:04:19,440 --> 00:04:21,680 Speaker 1: just seen Miriam's story walk by and all these other stories. 91 00:04:22,880 --> 00:04:25,240 Speaker 1: It always goes back to the story. And I get 92 00:04:25,279 --> 00:04:27,479 Speaker 1: this story from a biblical story, which is the guy 93 00:04:27,480 --> 00:04:28,920 Speaker 1: with the horse and the dis and that and he 94 00:04:29,080 --> 00:04:32,320 Speaker 1: took the But where there's tragedy, there's always a beautiful 95 00:04:32,360 --> 00:04:34,800 Speaker 1: blessing an outcome, you know. I mean, it doesn't end 96 00:04:34,839 --> 00:04:37,039 Speaker 1: with the tragedy of your sister's death. As my point, 97 00:04:37,320 --> 00:04:40,960 Speaker 1: you then further your education to go help people hopefully 98 00:04:40,960 --> 00:04:42,960 Speaker 1: not have to go through it. You and your parents 99 00:04:43,000 --> 00:04:45,400 Speaker 1: and your family have went through and you have now 100 00:04:45,480 --> 00:04:48,479 Speaker 1: further your studied. So how did that happen? How old 101 00:04:48,480 --> 00:04:51,680 Speaker 1: are you when you've seen these happening with your sister. Oh, 102 00:04:51,720 --> 00:04:53,680 Speaker 1: I had to go back and figure out what year 103 00:04:53,800 --> 00:04:56,080 Speaker 1: that was in two thousand twelve verses where I am now, 104 00:04:56,160 --> 00:05:00,799 Speaker 1: so that would probably be had to be probably of it. Okay, 105 00:05:00,800 --> 00:05:02,599 Speaker 1: so not that long ago. No, So I'm gonna be 106 00:05:02,680 --> 00:05:05,000 Speaker 1: sixty eight on June eight. So I'm gonna be sixty 107 00:05:05,080 --> 00:05:07,320 Speaker 1: eight on six eight, happy birthday. How many times does 108 00:05:07,360 --> 00:05:13,080 Speaker 1: that happen? Right? I got to get there first, there first. 109 00:05:13,120 --> 00:05:16,160 Speaker 1: So it so back in two thousand twelve when I 110 00:05:16,240 --> 00:05:20,000 Speaker 1: was first looking at the cannabis industry and seeing um 111 00:05:20,360 --> 00:05:22,680 Speaker 1: the headlines in the Boston Globe because I was in 112 00:05:22,760 --> 00:05:24,800 Speaker 1: Massachusetts at the time, and seeing that they were going 113 00:05:24,839 --> 00:05:30,320 Speaker 1: to take applications for for a marijuana and I medical marijuana. 114 00:05:30,360 --> 00:05:33,760 Speaker 1: And I said to myself, that is the stupidest idea 115 00:05:34,000 --> 00:05:37,440 Speaker 1: I've ever heard you. That's how you felt. Thank you 116 00:05:37,520 --> 00:05:40,280 Speaker 1: for being so honest. Thank you, Thank you so much, 117 00:05:40,320 --> 00:05:42,560 Speaker 1: because everybody fronts like, oh I knew it. I knew it. 118 00:05:42,600 --> 00:05:45,560 Speaker 1: Thank you. Oh it was crazy and I want a 119 00:05:45,600 --> 00:05:48,000 Speaker 1: lot of other people though, by the way, yeah, oh yeah, 120 00:05:48,000 --> 00:05:50,240 Speaker 1: you weren't alone by new me. Yeah, you know, there 121 00:05:50,320 --> 00:05:52,880 Speaker 1: was a whole a whole room of people from my 122 00:05:52,960 --> 00:05:54,920 Speaker 1: company that did the same thing, that look at this 123 00:05:55,000 --> 00:05:57,520 Speaker 1: headline and say this is this is an idiotic thing. 124 00:05:57,560 --> 00:06:00,240 Speaker 1: And then um, I was working for Waters Corporate recent 125 00:06:00,279 --> 00:06:03,480 Speaker 1: at the time. We make analytical equipment for separating molecules 126 00:06:03,520 --> 00:06:07,000 Speaker 1: based on their size and and also they had made 127 00:06:07,040 --> 00:06:10,680 Speaker 1: some extraction equipment. But I was mostly looking at that 128 00:06:10,760 --> 00:06:13,720 Speaker 1: and saying this is crazy. And uh. It turned out 129 00:06:13,720 --> 00:06:16,400 Speaker 1: one of my friends had left the corporation and started 130 00:06:16,440 --> 00:06:19,680 Speaker 1: a testing lab. His name was Dr Chris Houdela over 131 00:06:19,800 --> 00:06:23,520 Speaker 1: Proverty Labs. Decided to start a lab and I said, well, 132 00:06:23,600 --> 00:06:25,479 Speaker 1: good luck with that one. That's gotta be like four 133 00:06:25,560 --> 00:06:30,480 Speaker 1: people wanting that. And then um, from that process, I 134 00:06:30,480 --> 00:06:32,279 Speaker 1: I looked into it a little more and probably one 135 00:06:32,320 --> 00:06:35,640 Speaker 1: of the people I met early early on very generous, 136 00:06:35,800 --> 00:06:38,920 Speaker 1: uh and kind man, was that Dr Ethan Russel. Oh. 137 00:06:39,040 --> 00:06:41,320 Speaker 1: We had him onto the day. Yeah so and and 138 00:06:41,320 --> 00:06:43,440 Speaker 1: he said good things about you, but we'll see how 139 00:06:43,480 --> 00:06:45,840 Speaker 1: it goes. Ok, we're still working on. Oh he said 140 00:06:45,839 --> 00:06:48,159 Speaker 1: good things about us to you. Yeah, Well that's odd. 141 00:06:48,320 --> 00:06:50,440 Speaker 1: You know, that's funny because he was just standing behind 142 00:06:50,480 --> 00:06:51,719 Speaker 1: one of our guys and I think he was trying 143 00:06:51,720 --> 00:06:53,520 Speaker 1: to get your attention, but you missed it. Yeah, you 144 00:06:53,600 --> 00:06:56,560 Speaker 1: big time to Thanks for turn that down a little bit. 145 00:06:56,560 --> 00:06:59,200 Speaker 1: Please that speaker right there you just turned up. Oh yeah, 146 00:06:59,200 --> 00:07:02,400 Speaker 1: you can just turn off, So go ahead, doctor Mackay. Yes, 147 00:07:02,480 --> 00:07:05,159 Speaker 1: so um and uh. I started reading some of his 148 00:07:05,240 --> 00:07:08,080 Speaker 1: work and uh it was on epilepsy and such, and 149 00:07:08,160 --> 00:07:10,720 Speaker 1: so I started to take it more seriously and delve 150 00:07:10,760 --> 00:07:13,480 Speaker 1: into the into the science more. And it was probably 151 00:07:13,760 --> 00:07:16,480 Speaker 1: it was in fall of that I've been at a 152 00:07:16,600 --> 00:07:21,480 Speaker 1: conference up outside of Seattle, a cannabis conference, and the 153 00:07:21,480 --> 00:07:24,400 Speaker 1: early days there were you know, three people tops. That 154 00:07:24,480 --> 00:07:26,600 Speaker 1: was it was it like this type of conference because 155 00:07:27,480 --> 00:07:30,280 Speaker 1: when you this is so funny, Dr John when you 156 00:07:30,280 --> 00:07:32,480 Speaker 1: say conference or this is that like? And that's why 157 00:07:32,520 --> 00:07:34,520 Speaker 1: I had to explain last night to my wife different 158 00:07:34,520 --> 00:07:37,160 Speaker 1: because every event that every event that I've been to 159 00:07:37,240 --> 00:07:41,120 Speaker 1: actually for a cannabis conference, whatever we have the after party, 160 00:07:41,160 --> 00:07:43,520 Speaker 1: that crazy. It's been crazy. This to me is the best. 161 00:07:44,160 --> 00:07:46,920 Speaker 1: I like this five like to me, this is the 162 00:07:47,000 --> 00:07:51,280 Speaker 1: business cannabis. This is I like this like. Don't get 163 00:07:51,320 --> 00:07:52,560 Speaker 1: me wrong, I like to have a good time too, 164 00:07:52,600 --> 00:07:54,920 Speaker 1: and and and it was that's fun. But to me, 165 00:07:54,960 --> 00:07:56,920 Speaker 1: this is the real. Doctor. You're another doctor, that's here 166 00:07:56,960 --> 00:07:58,920 Speaker 1: for God's sake. But let's also be honest. Show is 167 00:07:58,960 --> 00:08:01,920 Speaker 1: that we get pulled into a lot of directions, right, 168 00:08:01,960 --> 00:08:04,960 Speaker 1: and we have never really been pulled into this direction 169 00:08:05,200 --> 00:08:08,960 Speaker 1: and and and and I'm a little bit confused, like 170 00:08:09,000 --> 00:08:11,120 Speaker 1: I'm because I'm here, and I'm going, gosh, you know, 171 00:08:11,440 --> 00:08:14,920 Speaker 1: our whole industry really should be here because this is 172 00:08:15,160 --> 00:08:17,280 Speaker 1: to me, this is where the real industries that, this 173 00:08:17,360 --> 00:08:19,840 Speaker 1: is where the real industries at. This is gonna affect 174 00:08:19,840 --> 00:08:22,120 Speaker 1: the other industry because the other industry is the culture 175 00:08:22,160 --> 00:08:24,680 Speaker 1: that this and that, but this affects that. And then 176 00:08:25,360 --> 00:08:27,920 Speaker 1: so my point, my question to that is, Dr John, 177 00:08:27,960 --> 00:08:30,040 Speaker 1: when you were at that first event, was it a 178 00:08:30,080 --> 00:08:32,240 Speaker 1: culture event or an event like this, because there's two 179 00:08:32,240 --> 00:08:35,800 Speaker 1: different events that the thirteen it was a very small 180 00:08:35,840 --> 00:08:38,520 Speaker 1: event in NBC was there, CNN was there, all the 181 00:08:38,559 --> 00:08:41,520 Speaker 1: mayor stations were there because it was the first event 182 00:08:41,559 --> 00:08:44,080 Speaker 1: in Washington's culture as well. Then it's people hanging out 183 00:08:44,120 --> 00:08:46,280 Speaker 1: free love the old school style. It was early days. 184 00:08:46,320 --> 00:08:49,280 Speaker 1: It was Dixie was a trimp trip was there? I 185 00:08:49,280 --> 00:08:53,560 Speaker 1: mean it was the earlier early day and so um 186 00:08:53,920 --> 00:08:55,800 Speaker 1: and so I sat at that when there was a 187 00:08:55,880 --> 00:08:58,880 Speaker 1: lawyer who spoke and he was talking about the law side, 188 00:08:58,880 --> 00:09:01,560 Speaker 1: and the thing he said, he says, if you if 189 00:09:01,559 --> 00:09:03,360 Speaker 1: you get up every day and study for an hour 190 00:09:03,880 --> 00:09:06,040 Speaker 1: and three months, you'll be an expert. And I took 191 00:09:06,040 --> 00:09:09,840 Speaker 1: that to heart. Hold that for a second blue three months, 192 00:09:09,880 --> 00:09:12,480 Speaker 1: an hour a day, you'll be an expert as a lawyer. 193 00:09:13,000 --> 00:09:15,439 Speaker 1: And I thought, well, you know lawyers, I mean not 194 00:09:17,040 --> 00:09:20,520 Speaker 1: bad to day. So I started that process then and 195 00:09:20,559 --> 00:09:23,880 Speaker 1: then it became longer and longer and longer, and so 196 00:09:23,920 --> 00:09:26,400 Speaker 1: I still do that today. I say seven days out 197 00:09:26,400 --> 00:09:28,280 Speaker 1: of the week, I'll probably do six, something will miss. 198 00:09:28,320 --> 00:09:30,560 Speaker 1: But I get up every day and I read for 199 00:09:30,679 --> 00:09:33,560 Speaker 1: sixty to ninety minutes, the new literature, the new medicine, 200 00:09:33,600 --> 00:09:37,160 Speaker 1: the new extraction. I'll read everything, and I will stay 201 00:09:37,559 --> 00:09:41,000 Speaker 1: discipline to that because as things are changing. It's not 202 00:09:41,120 --> 00:09:43,320 Speaker 1: just this plant, but it's all of the plants. So 203 00:09:43,360 --> 00:09:48,560 Speaker 1: it's it's it's Pharmacognize is the real science. This is 204 00:09:48,640 --> 00:09:52,800 Speaker 1: part of pharmacognancy, and pharmacognozy is the medicine of natural 205 00:09:52,880 --> 00:09:59,920 Speaker 1: products of plants, pharmac pharmacolo cognancy, pharma cosmoty is the 206 00:10:00,520 --> 00:10:02,600 Speaker 1: that's a part of the planet's, part of all plants, 207 00:10:02,600 --> 00:10:04,960 Speaker 1: that's a part of so it was back in the 208 00:10:05,040 --> 00:10:08,760 Speaker 1: days before these small molecules were made in the late forties, 209 00:10:08,800 --> 00:10:11,440 Speaker 1: early fifties, when it went to small molecule like aspirin 210 00:10:11,520 --> 00:10:15,160 Speaker 1: and such, that was the science. That's how people were trained. 211 00:10:15,200 --> 00:10:19,120 Speaker 1: They were trained like traditional Chinese medicine doctors and they 212 00:10:19,120 --> 00:10:21,920 Speaker 1: were trained these are the natural products. What can we 213 00:10:21,960 --> 00:10:24,360 Speaker 1: find from those natural products? And slowly it waned away 214 00:10:24,400 --> 00:10:26,160 Speaker 1: as we moved to a small molecule and those is 215 00:10:26,240 --> 00:10:29,520 Speaker 1: bringing us back to that. Well, let's take a break 216 00:10:29,559 --> 00:10:32,319 Speaker 1: and come right back with Dr John McKay's Cannabis Talk 217 00:10:32,360 --> 00:10:34,040 Speaker 1: one on one. Will right back after this, We'll be 218 00:10:34,160 --> 00:10:47,559 Speaker 1: right back with Cannabis Talk one oh one. Welcome back 219 00:10:47,679 --> 00:10:50,040 Speaker 1: to Cannabis Talk one oh one. Well, you guys, the 220 00:10:50,080 --> 00:10:53,320 Speaker 1: bud Tender Awards created G four Live with the most 221 00:10:53,600 --> 00:10:57,960 Speaker 1: ambitious and essential cannabis event that they wanted to put together, 222 00:10:58,000 --> 00:11:01,000 Speaker 1: and they're doing it, you guys. This show is designed 223 00:11:01,320 --> 00:11:03,760 Speaker 1: for people that want to take their business to the 224 00:11:03,840 --> 00:11:06,079 Speaker 1: next level. Join us in Las Vegas, made twelve of 225 00:11:06,120 --> 00:11:09,480 Speaker 1: the fourteenth at the all New Resort World. I can't 226 00:11:09,480 --> 00:11:11,439 Speaker 1: wait to be there. I mean we're going from here 227 00:11:11,440 --> 00:11:13,120 Speaker 1: to there and I just can't wait because we're here 228 00:11:13,120 --> 00:11:14,719 Speaker 1: at can Man and then after CAM maybe both the 229 00:11:14,800 --> 00:11:16,640 Speaker 1: board to DAN four Live by Tender Award to check 230 00:11:16,640 --> 00:11:19,720 Speaker 1: out Snoop Dogg Travis Barker performing all the Way live 231 00:11:19,880 --> 00:11:22,720 Speaker 1: on stage for the first time. If you don't go blue, 232 00:11:22,800 --> 00:11:25,040 Speaker 1: you don't grow. Dr John McKay, this is something that 233 00:11:25,040 --> 00:11:26,439 Speaker 1: I want you to come with us too, because I 234 00:11:26,520 --> 00:11:28,840 Speaker 1: want you to seeing there and seeing that other type 235 00:11:28,840 --> 00:11:30,559 Speaker 1: of vibe and crowd that you've seen the first one, 236 00:11:30,800 --> 00:11:32,440 Speaker 1: that first one you went to, is that other culture 237 00:11:32,440 --> 00:11:34,360 Speaker 1: that blew is referenced in the beginning right, and the 238 00:11:34,520 --> 00:11:37,559 Speaker 1: one we're going to is a little mixture of culture 239 00:11:37,800 --> 00:11:41,200 Speaker 1: and the business business to and so you're gonna get 240 00:11:41,240 --> 00:11:44,920 Speaker 1: the it's a great event of the younger you know 241 00:11:45,160 --> 00:11:47,400 Speaker 1: or you know, I want to say younger instead of 242 00:11:47,760 --> 00:11:51,319 Speaker 1: you know, professionals, because you're gonna eat young professionals, young 243 00:11:51,360 --> 00:11:54,000 Speaker 1: professionals that are interested in growing into the industry. And 244 00:11:54,000 --> 00:11:55,760 Speaker 1: then you'll get the guys that are already growing into 245 00:11:55,800 --> 00:11:59,320 Speaker 1: the industry that have uh structured companies and operators. But 246 00:11:59,400 --> 00:12:02,679 Speaker 1: they even that those structured operators don't really dive into 247 00:12:02,720 --> 00:12:05,679 Speaker 1: the science. In the medical field of cannabis and and 248 00:12:05,960 --> 00:12:08,520 Speaker 1: I'm not saying they don't. I'm just saying that that's 249 00:12:08,559 --> 00:12:11,160 Speaker 1: not their focus, if that makes any sense. A matter 250 00:12:11,200 --> 00:12:13,760 Speaker 1: of fact, Dr John, all kids aside, somebody like you there, 251 00:12:14,040 --> 00:12:15,680 Speaker 1: you roll with us, because you'd be a rock star. 252 00:12:15,960 --> 00:12:17,680 Speaker 1: I want you walking with me, Dog, I'm telling you 253 00:12:17,760 --> 00:12:19,840 Speaker 1: right now, I want to introduce you to stoop Dog. 254 00:12:19,840 --> 00:12:22,120 Speaker 1: At my point, you're the type of guy everybody here 255 00:12:22,160 --> 00:12:23,360 Speaker 1: I met at the type of people that I want 256 00:12:23,400 --> 00:12:26,200 Speaker 1: to introduce everybody there to people here, because every like 257 00:12:26,240 --> 00:12:28,280 Speaker 1: what you're doing is so great. So you go to 258 00:12:28,280 --> 00:12:30,920 Speaker 1: this event in Washington, you're there either What is it 259 00:12:30,960 --> 00:12:33,120 Speaker 1: that draws you to go? Okay, now I'm gonna go 260 00:12:33,200 --> 00:12:35,880 Speaker 1: dedicated to my business and my look, my career. How 261 00:12:35,880 --> 00:12:39,000 Speaker 1: does that even come to your senses of and your 262 00:12:39,000 --> 00:12:41,240 Speaker 1: wife and your family and your kids. What do you mean, Dad, 263 00:12:41,280 --> 00:12:44,559 Speaker 1: you're doing cannabis? Now? What the hell dude? We mean here? 264 00:12:45,040 --> 00:12:46,959 Speaker 1: I mean, what do you mean you're a jug dealer? 265 00:12:47,080 --> 00:12:48,880 Speaker 1: What do you mean you're you're breaking bad? I mean 266 00:12:48,880 --> 00:12:50,840 Speaker 1: you look like the character kind of dead. You just 267 00:12:50,880 --> 00:12:53,360 Speaker 1: bought an RV? What are you doing? I actually had 268 00:12:53,400 --> 00:12:55,880 Speaker 1: to grow my hair out because they did look like 269 00:12:56,800 --> 00:12:59,520 Speaker 1: I do look like you kind of not even kind 270 00:12:59,520 --> 00:13:03,240 Speaker 1: of actually, is n't that's what you? H Yeah, yeah, 271 00:13:03,760 --> 00:13:06,480 Speaker 1: make a math know that he's on the show. It's 272 00:13:06,480 --> 00:13:09,760 Speaker 1: not really exactly. That'd be great. Hold on though, hold 273 00:13:09,800 --> 00:13:13,199 Speaker 1: on for half a second. Here's the coldest problem. I 274 00:13:13,840 --> 00:13:15,600 Speaker 1: would kept going. I would have had you, and then 275 00:13:15,600 --> 00:13:20,320 Speaker 1: I would have said absolutely, I mean, I have a 276 00:13:20,320 --> 00:13:23,760 Speaker 1: thirty four ft r V. If you really do I 277 00:13:23,800 --> 00:13:28,760 Speaker 1: do testing show? Shut up for hold on, Dr John. 278 00:13:29,120 --> 00:13:31,000 Speaker 1: So you really on the trailer though? So you went 279 00:13:31,040 --> 00:13:33,160 Speaker 1: full on balls to the wall of breaking back. Well, 280 00:13:33,200 --> 00:13:35,360 Speaker 1: I didn't know. I don't care about breaking bad. I 281 00:13:35,440 --> 00:13:38,199 Speaker 1: just needed it for myself. And then, of course the 282 00:13:38,240 --> 00:13:40,360 Speaker 1: analogies are there because it went hand in hand, because 283 00:13:41,120 --> 00:13:43,160 Speaker 1: there's a reason why you had an r V. I mean, 284 00:13:43,160 --> 00:13:45,440 Speaker 1: that's what does the reason tell us that give us. 285 00:13:45,640 --> 00:13:47,920 Speaker 1: I can do testing. I can drive to a place 286 00:13:47,960 --> 00:13:50,760 Speaker 1: and test plants. I can test plants on the mobile 287 00:13:51,120 --> 00:13:54,120 Speaker 1: testing labs. I can test pesticides. I can test the 288 00:13:54,200 --> 00:13:57,600 Speaker 1: number of cannabinoids. I can test you know, CBD bitches, THHC, 289 00:13:57,800 --> 00:13:59,880 Speaker 1: I can I can test all those things. And you 290 00:14:00,040 --> 00:14:03,120 Speaker 1: going to your only going to license facilities of growing 291 00:14:03,200 --> 00:14:06,160 Speaker 1: houses or how do you do? What is your abstraction 292 00:14:06,520 --> 00:14:09,400 Speaker 1: and uh, cultivation, It doesn't really matter. There's the doctor 293 00:14:09,480 --> 00:14:12,200 Speaker 1: right there. We're just talking about that big guy over there. 294 00:14:12,320 --> 00:14:18,200 Speaker 1: Dr Rousso. Go ahead there, doctor so, and so you 295 00:14:18,240 --> 00:14:21,080 Speaker 1: take yourr Is it only mobile or can they just 296 00:14:21,160 --> 00:14:23,480 Speaker 1: go visit you or is it both? Well? I do 297 00:14:24,120 --> 00:14:26,320 Speaker 1: so I can go mobile, so I can bring all 298 00:14:26,360 --> 00:14:29,720 Speaker 1: my test equipment there and and not be you know, structured. 299 00:14:29,760 --> 00:14:32,760 Speaker 1: So the other part I have is is being able 300 00:14:32,800 --> 00:14:35,840 Speaker 1: to teach people about the cannabinoids. So I have my 301 00:14:37,000 --> 00:14:38,560 Speaker 1: you haven't seen I wish I had them with me. 302 00:14:38,640 --> 00:14:41,080 Speaker 1: It's my molecular kids. So I bring my molecular kids 303 00:14:41,080 --> 00:14:43,560 Speaker 1: and I have the actual molecules, so I can show 304 00:14:43,600 --> 00:14:45,880 Speaker 1: them what the molecule is and why it's changing. Why 305 00:14:45,920 --> 00:14:48,840 Speaker 1: you have to be careful of the tyrpenes, Why they're 306 00:14:48,880 --> 00:14:50,640 Speaker 1: the carnabinoids. Why do you have to be careful the 307 00:14:50,640 --> 00:14:54,520 Speaker 1: tyrpeines so volatile? Why so if you can, because their 308 00:14:54,600 --> 00:14:58,200 Speaker 1: chemistry is that they're very small hydrocarbons. And so if 309 00:14:58,200 --> 00:15:01,280 Speaker 1: you have you smell gasoline at the GA station, yeah, 310 00:15:02,760 --> 00:15:04,880 Speaker 1: longer ones, and you can smell a rose, and you 311 00:15:04,880 --> 00:15:06,920 Speaker 1: can smell those they're just so small they just go 312 00:15:07,040 --> 00:15:10,480 Speaker 1: straight up into the air. Okay, So that's just chemistry on. 313 00:15:10,880 --> 00:15:13,520 Speaker 1: And then what about cannabis. So cannabis doesn't go into 314 00:15:13,560 --> 00:15:15,320 Speaker 1: the air, doesn't have a taste, doesn't have a smell. 315 00:15:15,400 --> 00:15:17,360 Speaker 1: So when people are going all this smell is really good, 316 00:15:17,360 --> 00:15:21,120 Speaker 1: this is good CBD, and I'm going, no, what do 317 00:15:21,160 --> 00:15:23,880 Speaker 1: you mean, Oh, it's good? Flat, like if I smell 318 00:15:23,960 --> 00:15:26,240 Speaker 1: good weed. I mean the old joke growing up was like, 319 00:15:26,240 --> 00:15:28,280 Speaker 1: there's somebody farting, someone smell and I just ripped one, 320 00:15:28,440 --> 00:15:30,560 Speaker 1: so that can make them smell my gas. But you 321 00:15:30,600 --> 00:15:33,400 Speaker 1: always smell something skunk. You smell the skunk. So you're 322 00:15:33,440 --> 00:15:35,560 Speaker 1: saying that smell is what There is no smell for 323 00:15:35,600 --> 00:15:38,239 Speaker 1: cannabinoids there. They don't have So that's not a cannabinoid. 324 00:15:38,280 --> 00:15:40,760 Speaker 1: What is that odor that we're smelling. You're smelling the tyrpeenes. 325 00:15:41,160 --> 00:15:43,440 Speaker 1: There's just trillions. Yeah, so you have a lot of 326 00:15:43,440 --> 00:15:45,560 Speaker 1: tyrpeenes in there. And and the other part that I 327 00:15:45,600 --> 00:15:47,640 Speaker 1: have is is type a few sayings and one of 328 00:15:47,680 --> 00:15:51,560 Speaker 1: them is good is not a number? And what do 329 00:15:51,600 --> 00:15:54,200 Speaker 1: you mean by that reference? I mean, because good can 330 00:15:54,280 --> 00:15:56,880 Speaker 1: I know? And I do too? Good cannabis is not 331 00:15:56,960 --> 00:15:59,120 Speaker 1: a number right, because of the number of the ratio 332 00:15:59,160 --> 00:16:01,040 Speaker 1: that's coming up because there came out of the forty eight. 333 00:16:01,080 --> 00:16:05,240 Speaker 1: It's this is to be the best dude, doctor, I 334 00:16:05,280 --> 00:16:09,560 Speaker 1: get I get it. But so then why is it 335 00:16:09,640 --> 00:16:11,800 Speaker 1: so mandatory? Dr John If you're saying it doesn't matter, 336 00:16:11,800 --> 00:16:14,320 Speaker 1: then what what why do they do it? Oh? So 337 00:16:14,600 --> 00:16:16,840 Speaker 1: on that side, when I'm measuring extraction less so if 338 00:16:16,840 --> 00:16:20,800 Speaker 1: I'm just thinking about extraction, I measure the potency of 339 00:16:20,840 --> 00:16:22,960 Speaker 1: the plant that goes in. I also want to know 340 00:16:23,040 --> 00:16:25,680 Speaker 1: the water content. Then I do an extraction. Doesn't matter 341 00:16:25,720 --> 00:16:28,680 Speaker 1: what the extraction is, whether it's solvent lists with solvent 342 00:16:29,000 --> 00:16:32,920 Speaker 1: um low pressure gas CEO two one thirty four A, 343 00:16:33,120 --> 00:16:36,320 Speaker 1: it doesn't matter to ethanol cold ethanol. And then I 344 00:16:36,360 --> 00:16:39,400 Speaker 1: measure what comes out. I want to measure the material 345 00:16:39,440 --> 00:16:40,760 Speaker 1: that was left over to see if I got it 346 00:16:40,800 --> 00:16:42,920 Speaker 1: all out. And I also want to measure what I 347 00:16:43,080 --> 00:16:45,320 Speaker 1: what I got out so that I know where to 348 00:16:45,360 --> 00:16:49,080 Speaker 1: move it through in the next phase of refinement. And 349 00:16:49,120 --> 00:16:52,000 Speaker 1: so when they start to talk about distillate and isolate, 350 00:16:52,040 --> 00:16:55,520 Speaker 1: those are not chemistry terms. You can have more refined 351 00:16:56,160 --> 00:16:59,960 Speaker 1: refining through distillation, and you can have a pure compound. 352 00:17:00,160 --> 00:17:03,960 Speaker 1: But it's not a chemists don't say isolated. They say, 353 00:17:04,080 --> 00:17:06,520 Speaker 1: you know, percent purity is at ninety nine point nine, 354 00:17:06,600 --> 00:17:10,160 Speaker 1: or why can't why can't we just use all these 355 00:17:10,200 --> 00:17:11,920 Speaker 1: real terms like that in the game, like you know 356 00:17:11,920 --> 00:17:14,199 Speaker 1: what I'm saying, like why go to to? When we 357 00:17:14,200 --> 00:17:17,480 Speaker 1: were talking with Dr Russo and Mr Dr Hunt, I 358 00:17:17,520 --> 00:17:23,800 Speaker 1: believe here, Mr Hunt, the attorney is that you know, Yeah, 359 00:17:24,320 --> 00:17:28,240 Speaker 1: we were using I would say street slang, and it's 360 00:17:28,280 --> 00:17:30,439 Speaker 1: okay as long as because they make the sense. If 361 00:17:30,520 --> 00:17:33,240 Speaker 1: I can translate that so that they have an understanding 362 00:17:33,240 --> 00:17:35,199 Speaker 1: and I can speak in their terms, I'm not going 363 00:17:35,240 --> 00:17:38,080 Speaker 1: to isolate them because they're not speaking in my term. 364 00:17:38,119 --> 00:17:40,200 Speaker 1: And Dr John, do you guys use those terms in 365 00:17:40,240 --> 00:17:42,040 Speaker 1: the labs or do you guys fully not use those 366 00:17:42,119 --> 00:17:44,480 Speaker 1: or do some people be like, hey, this is a strain, 367 00:17:44,600 --> 00:17:46,639 Speaker 1: not a cultivar? This is this? This is like you 368 00:17:46,640 --> 00:17:49,639 Speaker 1: guys use both in the labs or no, I totally 369 00:17:49,720 --> 00:17:53,360 Speaker 1: use both so that I'm in communication with their language. 370 00:17:53,400 --> 00:17:56,600 Speaker 1: If someone speaking Spanish and I'm speaking English yelling at them, 371 00:17:56,960 --> 00:18:01,320 Speaker 1: hasn't he now you understand me exactly? I think it 372 00:18:01,359 --> 00:18:04,639 Speaker 1: will help soon, but it hasn't helped it. Right, Be quiet, 373 00:18:04,640 --> 00:18:10,040 Speaker 1: he's like happy. Quite, that's exactly. So when I'm going 374 00:18:10,080 --> 00:18:11,520 Speaker 1: to some of the shows, like I'm going to go 375 00:18:11,560 --> 00:18:15,040 Speaker 1: to White Label, which is the week after the same week, 376 00:18:15,080 --> 00:18:17,400 Speaker 1: I think is as that. And there's also I've been 377 00:18:17,400 --> 00:18:19,120 Speaker 1: the Champs and I've been to some of those other 378 00:18:19,240 --> 00:18:22,600 Speaker 1: ones with a different audience and being able to speak 379 00:18:22,640 --> 00:18:24,520 Speaker 1: with the Champs a way bigger one, and that's that's 380 00:18:24,520 --> 00:18:26,840 Speaker 1: a different audience for your different audience. And so I'll 381 00:18:26,880 --> 00:18:29,080 Speaker 1: walk the show and speak with people. But I also 382 00:18:29,320 --> 00:18:32,240 Speaker 1: a lot of technology and you're using their language that 383 00:18:32,440 --> 00:18:33,879 Speaker 1: you have to a good point. You have to be. 384 00:18:34,680 --> 00:18:36,760 Speaker 1: You can't go over there and speak the real language, 385 00:18:36,800 --> 00:18:39,160 Speaker 1: which I and I say the real language because because 386 00:18:39,160 --> 00:18:43,520 Speaker 1: it is. Yeah it is clear it is. But but 387 00:18:43,520 --> 00:18:45,200 Speaker 1: but if you do and you go into that, they're 388 00:18:45,200 --> 00:18:46,720 Speaker 1: looking at you like this guy doesn't even know what 389 00:18:46,960 --> 00:18:49,199 Speaker 1: he's talking. Are you ready for this? No, they're like 390 00:18:48,720 --> 00:18:51,719 Speaker 1: this like when he doesn't like us, Oh yeah, you're right, 391 00:18:52,280 --> 00:18:55,399 Speaker 1: thank you for breaking that knowledge to us. You're right, doctor, 392 00:18:55,760 --> 00:18:58,720 Speaker 1: because you have the credentials. Right, So I almost look 393 00:18:58,760 --> 00:19:02,080 Speaker 1: at it as I hope doctor, that you can continue 394 00:19:02,240 --> 00:19:05,679 Speaker 1: to spread the real game and truth and sprinkle it 395 00:19:05,760 --> 00:19:10,320 Speaker 1: on everyone, whether they're knowledgeable as can be to no 396 00:19:10,520 --> 00:19:13,920 Speaker 1: knowledge at all, because I believe the truth that we've 397 00:19:14,000 --> 00:19:17,679 Speaker 1: learned here is what should be spread moving forward and 398 00:19:17,760 --> 00:19:20,120 Speaker 1: the big big and I believe that these streets slang 399 00:19:20,200 --> 00:19:22,639 Speaker 1: is always gonna be there, don't get me wrong. But 400 00:19:22,840 --> 00:19:26,520 Speaker 1: what we want to educate on, in my opinion, because 401 00:19:26,520 --> 00:19:29,840 Speaker 1: what we believe in in this show is the advancements 402 00:19:29,920 --> 00:19:33,439 Speaker 1: of the technology of cannabis to benefit the society and 403 00:19:33,480 --> 00:19:37,800 Speaker 1: a medical standpoint as well as a recreational standpoint. Don't 404 00:19:37,840 --> 00:19:40,359 Speaker 1: get it twisted. We are all for the recreation. But 405 00:19:40,480 --> 00:19:43,359 Speaker 1: what we want is that medical and all this proof 406 00:19:43,440 --> 00:19:46,879 Speaker 1: to be like a ha ha, federal legalization. Use this, 407 00:19:47,040 --> 00:19:49,199 Speaker 1: like the doctor said, this breaks down for that. We 408 00:19:49,240 --> 00:19:51,280 Speaker 1: want to use the creams, the oils and this and that, 409 00:19:51,560 --> 00:19:53,880 Speaker 1: and that's what we want. All that being said, Doc, 410 00:19:53,960 --> 00:19:56,639 Speaker 1: we have the creams, the oils, the tinsters, do this 411 00:19:56,800 --> 00:20:01,320 Speaker 1: that that, the tropicals? Is there something topical topical tropical 412 00:20:01,400 --> 00:20:04,040 Speaker 1: drinks too? Though topicals? My point is this, though, Doc, 413 00:20:04,119 --> 00:20:06,600 Speaker 1: I keep messing that up because I have a tropical drink, 414 00:20:07,280 --> 00:20:11,960 Speaker 1: tropical topical. That being said, doctor, is there something you 415 00:20:12,000 --> 00:20:15,480 Speaker 1: ready for this that you can reach and you don't 416 00:20:15,480 --> 00:20:17,120 Speaker 1: need to be right or wrong, and no one's gonna 417 00:20:17,119 --> 00:20:21,159 Speaker 1: hold you to the stone on this. But what is next? Right, Like, 418 00:20:21,320 --> 00:20:24,160 Speaker 1: is there something that they're studying? Because we just trot 419 00:20:24,200 --> 00:20:26,720 Speaker 1: the CBNS, the CBX, the cb X y T like 420 00:20:26,720 --> 00:20:28,800 Speaker 1: they're finding so many new things on a daily I 421 00:20:28,840 --> 00:20:30,840 Speaker 1: feel like when we come back, doc, I want you 422 00:20:30,880 --> 00:20:34,800 Speaker 1: to ponder that what's next that you've seen, You own 423 00:20:34,840 --> 00:20:37,760 Speaker 1: a lab, you created a lab. What are you lab 424 00:20:37,800 --> 00:20:41,359 Speaker 1: owners and doctors and scientists talking about that's taking us 425 00:20:41,480 --> 00:20:43,600 Speaker 1: to the next level. It's Cannabis Talk one on one. 426 00:20:43,640 --> 00:20:45,439 Speaker 1: Will be right back with the doctor's answers. We'll be 427 00:20:45,560 --> 00:21:05,120 Speaker 1: right back with Cannabis Talk one oh one. Welcome back 428 00:21:05,280 --> 00:21:08,040 Speaker 1: to Cannabis Talk one oh one. Well, we're at can Med, 429 00:21:08,040 --> 00:21:09,520 Speaker 1: and you know I for're at can Med. We've gotta 430 00:21:09,520 --> 00:21:12,040 Speaker 1: talk about Advanced Nutrients. Why it's the first and only 431 00:21:12,080 --> 00:21:17,360 Speaker 1: complete growing system for the cannabis plant that optimizes all 432 00:21:17,440 --> 00:21:20,399 Speaker 1: phases and the vegetive in the bloom cycles to bring 433 00:21:20,440 --> 00:21:23,600 Speaker 1: your crops to their true and genetic potential. Discover more 434 00:21:24,040 --> 00:21:27,040 Speaker 1: at advanced nutrients dot com. I love the Advanced nutrients. 435 00:21:27,080 --> 00:21:30,120 Speaker 1: By the way, isn't key in main sponsor for can Meds. Huge. 436 00:21:30,160 --> 00:21:32,080 Speaker 1: They're all over this place and they did a great 437 00:21:32,160 --> 00:21:33,879 Speaker 1: job everything that they've done in Big Mike had a 438 00:21:33,880 --> 00:21:36,280 Speaker 1: great panel you Shaye, all that fun stuff we're herewith. 439 00:21:36,400 --> 00:21:39,280 Speaker 1: Of course, my new buddy and friend, Dr John Mackay. 440 00:21:39,440 --> 00:21:41,800 Speaker 1: Doctor John, I just asked you on the way to 441 00:21:41,920 --> 00:21:44,879 Speaker 1: the break to ponder and say, with your lab that 442 00:21:44,960 --> 00:21:47,080 Speaker 1: you have everything that you're seeing, all the people that 443 00:21:47,119 --> 00:21:51,200 Speaker 1: you're talking to, every scientist and doctor and interesting type 444 00:21:51,240 --> 00:21:53,600 Speaker 1: person that you've met here, what's next do you think? 445 00:21:54,720 --> 00:21:59,560 Speaker 1: I think the easiest thing next is process control and 446 00:22:00,119 --> 00:22:02,639 Speaker 1: on that side for the extraction, because the extraction, what 447 00:22:02,600 --> 00:22:05,600 Speaker 1: do you mean? Process control? So yeah, so what does 448 00:22:05,640 --> 00:22:07,760 Speaker 1: that mean exactly? I might I try to follow it. 449 00:22:07,760 --> 00:22:09,560 Speaker 1: I'm wait, wait a minute, I don't know new processes 450 00:22:09,600 --> 00:22:12,960 Speaker 1: in that's what I think. So I'm gonna I'm gonna 451 00:22:12,960 --> 00:22:15,840 Speaker 1: be making um, I'm gonna be making jelly beans. I'm 452 00:22:15,840 --> 00:22:18,080 Speaker 1: gonna be making jelly bellies or something like that. And 453 00:22:18,480 --> 00:22:21,720 Speaker 1: I brought let's just just say that I'm making jelly 454 00:22:21,720 --> 00:22:24,600 Speaker 1: beans even without the TC. Okay, so I've got the 455 00:22:24,680 --> 00:22:29,800 Speaker 1: bean boozeled. Have you ever seen these? So what happens 456 00:22:29,880 --> 00:22:32,080 Speaker 1: is bean boozeles is a small game, and I pick 457 00:22:32,119 --> 00:22:34,360 Speaker 1: it up and I teach people with this on extraction, 458 00:22:34,359 --> 00:22:36,199 Speaker 1: and that is is it naughty or nice? And some 459 00:22:36,320 --> 00:22:39,480 Speaker 1: taste like like um. For example, it tastes like a 460 00:22:39,880 --> 00:22:42,560 Speaker 1: birthday cake, and and there's some tea shakee peach, and 461 00:22:42,600 --> 00:22:44,960 Speaker 1: then there's some that tastes like dirty socks. And in 462 00:22:45,080 --> 00:22:48,959 Speaker 1: vomit you say dirty socks. Vomit do taste like dirty socks. 463 00:22:49,320 --> 00:22:52,000 Speaker 1: And so if you can imagine eating dirty socks can 464 00:22:52,960 --> 00:22:55,520 Speaker 1: so as you're doing a process control, you're trying to 465 00:22:55,560 --> 00:22:57,879 Speaker 1: make sure that the the input that you have and 466 00:22:57,960 --> 00:23:00,879 Speaker 1: the process that you have for extraction is is providing 467 00:23:00,920 --> 00:23:04,640 Speaker 1: you the ingredients that that you're needing for a medicine, 468 00:23:04,680 --> 00:23:06,840 Speaker 1: because everything is a patient doesn't matter if it's adult 469 00:23:06,920 --> 00:23:09,480 Speaker 1: used or whether it's really medical, it's it's still being 470 00:23:09,560 --> 00:23:12,360 Speaker 1: used for something. A little closer, it's still being used 471 00:23:12,400 --> 00:23:15,000 Speaker 1: for something. So when I'm looking at that, that's my 472 00:23:15,080 --> 00:23:17,680 Speaker 1: process control at this point in time. It's a lot 473 00:23:17,760 --> 00:23:20,720 Speaker 1: of good is not a number. But also you're trying 474 00:23:20,720 --> 00:23:24,479 Speaker 1: to remove as much solvent along the way. So right now, 475 00:23:24,840 --> 00:23:28,440 Speaker 1: when people do an extraction, it's like it's like texting 476 00:23:28,560 --> 00:23:32,439 Speaker 1: and driving because they actually don't know what they're what 477 00:23:32,480 --> 00:23:35,399 Speaker 1: they're coming out with. So in line with whether tops 478 00:23:35,680 --> 00:23:39,160 Speaker 1: or whether it's insulin, you constantly monitor along the way 479 00:23:39,200 --> 00:23:41,119 Speaker 1: so you know exactly what's in there. You don't have 480 00:23:41,160 --> 00:23:45,720 Speaker 1: other ingredients. So UM scientific things like you V ultra 481 00:23:45,800 --> 00:23:49,760 Speaker 1: violet light near I are UM. All those different techniques 482 00:23:49,760 --> 00:23:52,800 Speaker 1: are currently using the food industry and certified through the 483 00:23:52,800 --> 00:23:55,960 Speaker 1: food industry of cleanliness all the way through, and that's 484 00:23:55,960 --> 00:24:00,200 Speaker 1: where the the market is moving now, and so that's 485 00:24:00,240 --> 00:24:02,760 Speaker 1: the next part. Then the other part that comes from 486 00:24:02,800 --> 00:24:06,000 Speaker 1: that is looking at c b G A, c b 487 00:24:06,119 --> 00:24:08,879 Speaker 1: G A and cb g v a and some of 488 00:24:08,920 --> 00:24:12,320 Speaker 1: the other UM compounds from that allow you to move 489 00:24:13,000 --> 00:24:16,440 Speaker 1: into the into the human body and change the metabolites. 490 00:24:16,440 --> 00:24:18,480 Speaker 1: You're able to take cb g A and turn it 491 00:24:18,560 --> 00:24:23,800 Speaker 1: into other into other cannabinoids that are that can have 492 00:24:23,880 --> 00:24:28,359 Speaker 1: more bio availability or more bioactivity. My availability meets your 493 00:24:28,359 --> 00:24:30,480 Speaker 1: body is taking it in at a at a higher rate. 494 00:24:30,840 --> 00:24:34,320 Speaker 1: Bioactivity is determining where it's going and what it's doing. 495 00:24:34,320 --> 00:24:36,399 Speaker 1: That's what a cancer drug does. It goes into your 496 00:24:36,440 --> 00:24:38,159 Speaker 1: mouth or an I V and it goes to a 497 00:24:38,200 --> 00:24:41,359 Speaker 1: specific organ and does it does it sink. And I 498 00:24:41,400 --> 00:24:43,600 Speaker 1: think that when you're looking at the medical community with 499 00:24:43,640 --> 00:24:45,160 Speaker 1: some of the talks here and some of the other 500 00:24:45,200 --> 00:24:47,960 Speaker 1: talks that are coming out outside of the United States 501 00:24:48,000 --> 00:24:50,440 Speaker 1: because we're not allowed to do as much research here. 502 00:24:50,480 --> 00:24:56,119 Speaker 1: So Spain, Italy, Brazil, Uruguay, um UM, Italy, those those 503 00:24:56,760 --> 00:25:00,000 Speaker 1: those um clinical trials Israel. Israel is the biggest one, 504 00:25:01,000 --> 00:25:02,959 Speaker 1: so there's a lot of them, but they also go 505 00:25:03,040 --> 00:25:06,240 Speaker 1: back through and that's the process you're seeing. You're gonna 506 00:25:06,280 --> 00:25:10,600 Speaker 1: see where those specific activity sites are in your body, 507 00:25:10,680 --> 00:25:13,960 Speaker 1: and you're gonna take that cannabinoid as a medicine and 508 00:25:14,000 --> 00:25:17,360 Speaker 1: it's gonna go to there and do anti inflammatory where 509 00:25:17,359 --> 00:25:19,520 Speaker 1: it needs to be doing anti inflammatory. That's where most 510 00:25:19,520 --> 00:25:22,840 Speaker 1: of our diseases are, inflammation of the gut. So you 511 00:25:22,880 --> 00:25:24,960 Speaker 1: think that that's what we're finding. We're gonna go towards 512 00:25:24,960 --> 00:25:29,000 Speaker 1: that direction because I keep hearing things like and I 513 00:25:29,040 --> 00:25:33,399 Speaker 1: believe it, but I don't hear the action on what 514 00:25:33,520 --> 00:25:36,320 Speaker 1: exactly it takes. And let me further that conversation, meaning 515 00:25:36,440 --> 00:25:42,160 Speaker 1: takes CBD, cannabis THHC for paancreatic that that there's certain 516 00:25:42,200 --> 00:25:44,399 Speaker 1: people that show you how to do it. Diabetes, So 517 00:25:44,480 --> 00:25:46,440 Speaker 1: to speak, high blood pressure are the two that I'm 518 00:25:46,440 --> 00:25:49,120 Speaker 1: really referencing because I hear it for diabetes and high 519 00:25:49,119 --> 00:25:52,440 Speaker 1: blood pressure, but I've never heard the protocol rather than 520 00:25:52,520 --> 00:25:56,640 Speaker 1: the use it. Okay, how like when you hear diabetes 521 00:25:56,800 --> 00:25:59,159 Speaker 1: and high blood fressure and you go see your doctor 522 00:25:59,520 --> 00:26:02,760 Speaker 1: and they go take this, and they hand you something 523 00:26:03,000 --> 00:26:05,960 Speaker 1: that monitors it and controls it, I've yet to hear 524 00:26:06,960 --> 00:26:11,120 Speaker 1: pick the facility company. Everybody says, we treat diabetes, we 525 00:26:11,280 --> 00:26:14,760 Speaker 1: treat high blood pressure. How when are we going to 526 00:26:14,880 --> 00:26:18,720 Speaker 1: get to the house, Like are we are we gonna 527 00:26:18,720 --> 00:26:20,399 Speaker 1: get this? A real question? You know? You know what 528 00:26:20,400 --> 00:26:22,439 Speaker 1: I mean because everybody's saying this and I agree with it, 529 00:26:22,440 --> 00:26:24,240 Speaker 1: don't get me wrong, And I take it so I 530 00:26:24,280 --> 00:26:27,000 Speaker 1: believe it. Obviously, the whole regiment, this warning of everything 531 00:26:27,000 --> 00:26:29,919 Speaker 1: I put under my tongue, I see it's there. But 532 00:26:30,000 --> 00:26:32,640 Speaker 1: I don't have the quote unquote regiment from my problems, 533 00:26:32,920 --> 00:26:34,480 Speaker 1: you know what I mean, Like, I'm taking what I 534 00:26:34,520 --> 00:26:36,920 Speaker 1: think is my problems, and I don't even think they're 535 00:26:36,920 --> 00:26:38,679 Speaker 1: gonna get to the point where it's going to be 536 00:26:38,760 --> 00:26:40,800 Speaker 1: this for that, that that, but at least close Like 537 00:26:41,520 --> 00:26:43,520 Speaker 1: and I think what he was saying to just to 538 00:26:43,560 --> 00:26:45,920 Speaker 1: even dumb it down, is you can take two asteroids 539 00:26:45,960 --> 00:26:47,520 Speaker 1: today because you know you have a headache. I can 540 00:26:47,560 --> 00:26:49,680 Speaker 1: take right now from anklepane my legs up and it 541 00:26:49,840 --> 00:26:52,840 Speaker 1: up a little bit. Right. Does cannabis ever come into 542 00:26:52,880 --> 00:26:57,160 Speaker 1: play where we can say, here, take one of these. 543 00:26:57,359 --> 00:26:59,400 Speaker 1: It has the same thing for having, whether it be 544 00:26:59,480 --> 00:27:03,840 Speaker 1: for a hill form um or whatever the delivery system. 545 00:27:03,960 --> 00:27:08,600 Speaker 1: Maybe will we have that? Will we see that in cannabis? Yes, 546 00:27:08,760 --> 00:27:11,040 Speaker 1: I think some of the talks here and I've forgotten 547 00:27:11,040 --> 00:27:15,160 Speaker 1: her name, by the way, I appreciate that, so on 548 00:27:15,200 --> 00:27:17,760 Speaker 1: that side, I've forgotten Stacy's last name. But she's one 549 00:27:17,800 --> 00:27:19,920 Speaker 1: of the last speakers here and she's out of out 550 00:27:19,920 --> 00:27:21,720 Speaker 1: of Boston. And some of the work that she did 551 00:27:21,840 --> 00:27:25,399 Speaker 1: was taking different ratios of CBD and th HC and 552 00:27:25,440 --> 00:27:29,080 Speaker 1: then monitoring through dynamic m r I to see where 553 00:27:29,080 --> 00:27:31,520 Speaker 1: it's going in the brain and what it does and 554 00:27:31,560 --> 00:27:35,879 Speaker 1: what it does as far as monitoring anxiety. Um, you 555 00:27:35,960 --> 00:27:38,199 Speaker 1: have th h c V, which is probably the one 556 00:27:38,240 --> 00:27:41,960 Speaker 1: you were referring to on diabetes. That's been th h 557 00:27:42,400 --> 00:27:45,200 Speaker 1: c V. Yes, th HCV and that house with diabetes. 558 00:27:45,400 --> 00:27:48,040 Speaker 1: And there's a study out of Arizona two hundred I 559 00:27:48,080 --> 00:27:53,040 Speaker 1: think a hundred sixty eight page at Arizona um It 560 00:27:53,119 --> 00:27:58,400 Speaker 1: was sponsored by a company up in um Colorado, um ECS, 561 00:27:58,560 --> 00:28:01,239 Speaker 1: and I think the sell it to other people too. 562 00:28:01,320 --> 00:28:03,600 Speaker 1: But it's a combination of not just th h c V, 563 00:28:03,800 --> 00:28:05,959 Speaker 1: but some of the other cannabinoids. And then you have 564 00:28:06,080 --> 00:28:12,640 Speaker 1: um dtr Colpara out of out of Thailand and also California, 565 00:28:13,200 --> 00:28:16,760 Speaker 1: not just taking the cannabinoids, but taking the carnabinoids with 566 00:28:16,800 --> 00:28:21,200 Speaker 1: A with a mixture of other compounds that are natural products. 567 00:28:21,200 --> 00:28:23,000 Speaker 1: And so what you're gonna find is as you get 568 00:28:23,040 --> 00:28:25,080 Speaker 1: to those solutions, it's going to be a mixture of 569 00:28:25,160 --> 00:28:28,560 Speaker 1: natural products. It's gonna be it's gonna be melatonin and CB, 570 00:28:28,720 --> 00:28:31,399 Speaker 1: and it's gonna be something with a combination because you're 571 00:28:31,440 --> 00:28:34,040 Speaker 1: going to receptor sites. As we're just playing this game, 572 00:28:34,119 --> 00:28:36,560 Speaker 1: Dr John, and I really loved your answers to Now 573 00:28:36,560 --> 00:28:39,160 Speaker 1: I'm when I ask you another random hypothetical, random hector 574 00:28:39,200 --> 00:28:41,520 Speaker 1: he's trying to get himself fixed right now? Well, no, 575 00:28:41,640 --> 00:28:45,160 Speaker 1: because there's such a reach though, how about this it's 576 00:28:45,160 --> 00:28:47,600 Speaker 1: a fix in in the future, because it's not that's 577 00:28:47,600 --> 00:28:49,560 Speaker 1: about me, but it is it could refer to me, 578 00:28:49,600 --> 00:28:56,400 Speaker 1: but it's not about the dietes. Hypothetical. Yeah, so here's hypothetical. 579 00:28:56,440 --> 00:28:59,000 Speaker 1: All right, CBS, I want you mentually to go there 580 00:28:59,000 --> 00:29:01,960 Speaker 1: with me. Okay, pick Walgreen CVS and actually we're all there, folks. 581 00:29:02,080 --> 00:29:04,760 Speaker 1: Let's walk down this path. When we walk through the CVS, folks, 582 00:29:04,800 --> 00:29:06,920 Speaker 1: we walk in, we see some waters, we see some candies, 583 00:29:06,960 --> 00:29:08,840 Speaker 1: we see some cotton balls. We see this seasonal item 584 00:29:08,880 --> 00:29:10,560 Speaker 1: in the front. Then we go down an aisle on 585 00:29:10,560 --> 00:29:12,720 Speaker 1: Aisle seven B. In the back over there we see 586 00:29:12,720 --> 00:29:15,720 Speaker 1: the cold and Sniffy flu aisle, and then we see 587 00:29:15,960 --> 00:29:18,440 Speaker 1: the advills and the thailand Als and this and that. 588 00:29:18,720 --> 00:29:21,840 Speaker 1: And then now actually finally at that same CVS are Walgreens. 589 00:29:21,840 --> 00:29:24,360 Speaker 1: Whatever we're looking at mentually, we actually do see some CBD. 590 00:29:24,400 --> 00:29:26,520 Speaker 1: And now these stores, right, we do, so that's cool. 591 00:29:26,560 --> 00:29:28,320 Speaker 1: Now we walk around, we see some nail clippers, we 592 00:29:28,320 --> 00:29:30,560 Speaker 1: see all this, We see this, We see some feminine products, 593 00:29:30,560 --> 00:29:33,240 Speaker 1: we see some chips. Okay, cool, are we dr John 594 00:29:33,520 --> 00:29:38,400 Speaker 1: gonna see the whole in different sections because I believe 595 00:29:38,840 --> 00:29:40,680 Speaker 1: we're gonna see at that same store that we're walking 596 00:29:40,720 --> 00:29:43,480 Speaker 1: down the feminine products with the t C and it 597 00:29:43,520 --> 00:29:46,800 Speaker 1: and CBD in it. The headache problem is where they're 598 00:29:46,880 --> 00:29:48,600 Speaker 1: right next to the Adville. There's gonna be that pill 599 00:29:48,640 --> 00:29:51,840 Speaker 1: that's from Pick the company name BETS with the thh 600 00:29:51,840 --> 00:29:53,600 Speaker 1: C and CBD in it. Then you go to the 601 00:29:53,640 --> 00:29:55,480 Speaker 1: other apartment with the foot cream, and you go to 602 00:29:55,480 --> 00:29:57,320 Speaker 1: the foot cream department where the totio clippers are and 603 00:29:57,320 --> 00:29:59,520 Speaker 1: everything else, and there's gonna be a foot cream product 604 00:29:59,560 --> 00:30:01,640 Speaker 1: with your t you seeing it and everything else. Do 605 00:30:01,720 --> 00:30:04,240 Speaker 1: you think that's going to be the standard moving forward 606 00:30:04,400 --> 00:30:07,560 Speaker 1: in life? You're gonna see a standard more like the 607 00:30:07,640 --> 00:30:10,920 Speaker 1: natural products part of CVS. And so you have the 608 00:30:11,000 --> 00:30:16,520 Speaker 1: natural products with everything, you have melotonin and so you 609 00:30:16,560 --> 00:30:19,239 Speaker 1: now have those as a product. You'll see everybody has 610 00:30:19,280 --> 00:30:21,840 Speaker 1: the whole foods area in their place, so to speak. 611 00:30:22,280 --> 00:30:24,640 Speaker 1: So you have that as a part. And then behind 612 00:30:24,800 --> 00:30:28,560 Speaker 1: the pharmacy you're going to have the prescription drugs that 613 00:30:28,600 --> 00:30:31,240 Speaker 1: are made by you know, GW or someone else, the 614 00:30:31,320 --> 00:30:35,280 Speaker 1: legacy brands, the legacy brands, and the other part that 615 00:30:35,280 --> 00:30:39,200 Speaker 1: that's important is is is how each one is me 616 00:30:39,240 --> 00:30:43,600 Speaker 1: Because now you're moving towards food certification standards, you're moving 617 00:30:43,640 --> 00:30:47,840 Speaker 1: towards um natural products standards, and those have been out 618 00:30:47,840 --> 00:30:53,160 Speaker 1: since the Guidance of twenties late December sixteen, the Guidance 619 00:30:53,240 --> 00:30:56,840 Speaker 1: for Botanical and Natural Products. Those things have come out 620 00:30:56,920 --> 00:31:00,320 Speaker 1: and for the US government will come through and say 621 00:31:00,360 --> 00:31:02,360 Speaker 1: these you have to meet these standards. You have to 622 00:31:02,360 --> 00:31:05,160 Speaker 1: have a crop that that gave you the same gave 623 00:31:05,200 --> 00:31:07,600 Speaker 1: you the same potency three times you had this, you 624 00:31:07,640 --> 00:31:09,800 Speaker 1: had that. So you're going to have those standards in 625 00:31:09,840 --> 00:31:13,800 Speaker 1: place so that the consumer feels comfortable. But isn't that 626 00:31:13,880 --> 00:31:18,280 Speaker 1: damn near almost impossible being able to get it? There's 627 00:31:18,280 --> 00:31:19,800 Speaker 1: gonna be great. We're gonna be able to do that. Yes, 628 00:31:20,080 --> 00:31:22,280 Speaker 1: use this, use that. Yeah, I mean big Michael saying 629 00:31:22,280 --> 00:31:25,920 Speaker 1: that yesterday, right, I mean thoroughly believe that that. You know, 630 00:31:26,120 --> 00:31:29,200 Speaker 1: we have the capabilities of already been there, but because 631 00:31:29,200 --> 00:31:31,800 Speaker 1: of the federal legalization, no one really wants to put 632 00:31:31,800 --> 00:31:34,640 Speaker 1: down that extra cash. Right, And where we've actually been, 633 00:31:34,800 --> 00:31:37,840 Speaker 1: in my opinion, is doing research and development for those 634 00:31:37,920 --> 00:31:41,120 Speaker 1: folks to get there. And what what's essentially happened is 635 00:31:41,160 --> 00:31:44,080 Speaker 1: they're letting all these I don't want to call young companies, 636 00:31:44,080 --> 00:31:47,040 Speaker 1: but these young companies come out and and spend all 637 00:31:47,040 --> 00:31:49,560 Speaker 1: this money on research and development so that when the 638 00:31:49,600 --> 00:31:55,040 Speaker 1: bigger guys come in. It's just thank you for everything, 639 00:31:55,040 --> 00:31:59,400 Speaker 1: guys before and the rest of you, guys follow by 640 00:31:59,440 --> 00:32:01,840 Speaker 1: the way and look at this, ready for this analogy, guys, 641 00:32:02,320 --> 00:32:04,720 Speaker 1: how could it not work when if you think about this, 642 00:32:05,080 --> 00:32:08,160 Speaker 1: cherry tomatoes are the church tomatoes all the same cherry tomatoes, 643 00:32:08,160 --> 00:32:10,040 Speaker 1: and every freaking store were going for the whole foods 644 00:32:10,160 --> 00:32:15,600 Speaker 1: uh spread alphabeta, pavilions, vons. They're all the small round 645 00:32:15,640 --> 00:32:17,959 Speaker 1: cherry tomatoes. Yes, a little different though, and they probably 646 00:32:17,960 --> 00:32:20,000 Speaker 1: taste the grape cherry tomato tastes just like the grape 647 00:32:20,040 --> 00:32:22,120 Speaker 1: church tomato with the other store. Same thing with the 648 00:32:22,160 --> 00:32:23,959 Speaker 1: same head of lettuce that you get, folks, same thing 649 00:32:24,000 --> 00:32:27,200 Speaker 1: with the watermelon. A little flavor difference maybe, but the 650 00:32:27,360 --> 00:32:29,920 Speaker 1: same thing we're getting. I feel like my point is 651 00:32:29,960 --> 00:32:35,240 Speaker 1: I'm proving to everybody it's standardized the same chili pepper. Okay, hallapennos. 652 00:32:35,240 --> 00:32:38,800 Speaker 1: Sometimes we're hotter than others. Sometimes, Well, it's interesting because 653 00:32:39,000 --> 00:32:41,680 Speaker 1: it has different casting. It has, But we're saying we 654 00:32:41,760 --> 00:32:44,320 Speaker 1: can now get to that root and fix those things 655 00:32:44,320 --> 00:32:45,920 Speaker 1: where if we wanted to do hallo pennos and make 656 00:32:45,960 --> 00:32:47,080 Speaker 1: them all the same, do you think we can do that? 657 00:32:49,160 --> 00:32:53,560 Speaker 1: Random question? Yes, if that was the goal, If that 658 00:32:53,600 --> 00:32:55,520 Speaker 1: was the goal to make all halla pennels taste the same, 659 00:32:55,520 --> 00:32:57,040 Speaker 1: we can do that. We have a technology to do that, 660 00:32:57,120 --> 00:33:00,400 Speaker 1: but not all should should taste. I don't want of 661 00:33:00,440 --> 00:33:03,720 Speaker 1: all these things the same either I love, don't get 662 00:33:03,720 --> 00:33:05,520 Speaker 1: me wrong, that's so funny, either do I. But I 663 00:33:05,560 --> 00:33:07,400 Speaker 1: do want all the canvas to be the same. So 664 00:33:07,480 --> 00:33:12,040 Speaker 1: therefore we don't because for that batch, if we can 665 00:33:12,080 --> 00:33:14,959 Speaker 1: monitor that batch that we're building and we're creating, we 666 00:33:15,000 --> 00:33:17,000 Speaker 1: want to do that because we're creating something. Do you 667 00:33:17,040 --> 00:33:20,560 Speaker 1: want you want the hobanaro to be a habanaro, but 668 00:33:20,640 --> 00:33:22,800 Speaker 1: you don't want to, you know, And you're gonna go 669 00:33:22,880 --> 00:33:24,720 Speaker 1: for a brand. Why are you going to choose a 670 00:33:24,760 --> 00:33:28,240 Speaker 1: brand of cereal. There's a lot of rice crispy types. 671 00:33:28,320 --> 00:33:31,880 Speaker 1: There's a lot of you know, um, you got Kelloggs, 672 00:33:31,920 --> 00:33:35,400 Speaker 1: you got Spiffy, you got whatever. Frosted flakes there's not 673 00:33:35,480 --> 00:33:38,840 Speaker 1: frosted flakes. There's chocolate frosted flakes there. You've got so 674 00:33:38,880 --> 00:33:41,360 Speaker 1: many things that are available so that you have that 675 00:33:41,840 --> 00:33:45,120 Speaker 1: variety at the same time you have that discipline of 676 00:33:45,280 --> 00:33:48,600 Speaker 1: that brand. And so that's what's gonna happen is you're 677 00:33:48,600 --> 00:33:51,920 Speaker 1: going to have the discipline of the brand providing you something, 678 00:33:51,920 --> 00:33:53,880 Speaker 1: and it could be a local one, so you don't 679 00:33:53,880 --> 00:33:56,440 Speaker 1: go away with local breweries. You like local breweries. When 680 00:33:56,480 --> 00:33:58,480 Speaker 1: you go to travel, you're probably going, hey, do you 681 00:33:58,560 --> 00:34:02,320 Speaker 1: have anything in the local brewery? Yeah, that's what you 682 00:34:02,360 --> 00:34:04,560 Speaker 1: ask for, Dr John. Anything we got because I gotta 683 00:34:04,560 --> 00:34:05,880 Speaker 1: go pee the blue You can grab it up, but 684 00:34:05,920 --> 00:34:07,520 Speaker 1: I gotta go pee so bad. Anything else that you 685 00:34:07,600 --> 00:34:09,520 Speaker 1: gotta want to say before we let you go, Well, 686 00:34:09,719 --> 00:34:11,920 Speaker 1: I guess so. I mean, so I do have a school. 687 00:34:12,400 --> 00:34:15,399 Speaker 1: So I have a school where I train extraction, and uh, 688 00:34:15,440 --> 00:34:18,799 Speaker 1: I charge seven ten dollars so change people how to extract. Yeah, 689 00:34:18,800 --> 00:34:22,759 Speaker 1: I teach people how to extract. Seven charge more. So 690 00:34:22,800 --> 00:34:25,839 Speaker 1: I had seven dollars because upside down it spells oil, 691 00:34:26,320 --> 00:34:28,280 Speaker 1: and so I know that. I'm I know it's costing 692 00:34:28,320 --> 00:34:30,319 Speaker 1: me nine hundreds. So I'm sort of like the guy 693 00:34:30,400 --> 00:34:33,120 Speaker 1: selling watermelons where I buy them for two dollars and 694 00:34:33,120 --> 00:34:35,760 Speaker 1: and sell them for one. But I but I really 695 00:34:35,760 --> 00:34:38,239 Speaker 1: want to spread the word on extraction. I really want 696 00:34:38,239 --> 00:34:41,200 Speaker 1: to move that forward. And I worked with the cbd 697 00:34:41,440 --> 00:34:44,000 Speaker 1: X BO and and such, so always trying to get 698 00:34:44,200 --> 00:34:48,160 Speaker 1: the medical people into that into that venue also, So 699 00:34:48,239 --> 00:34:50,279 Speaker 1: we're just trying to do that. And so where can 700 00:34:50,320 --> 00:34:52,759 Speaker 1: people Where can people sign up for that? So they 701 00:34:52,760 --> 00:34:56,399 Speaker 1: can sign up on the website with Extraction Institute dot com. 702 00:34:57,080 --> 00:35:00,400 Speaker 1: And I'm also on Extraction Magazine dot com. UM, so 703 00:35:00,520 --> 00:35:03,120 Speaker 1: both of those will bring you there. You know, I'll 704 00:35:03,120 --> 00:35:07,080 Speaker 1: tell you, UM, I I want to appreciate you teaching 705 00:35:07,160 --> 00:35:10,880 Speaker 1: us and and and bringing your expertise to our industry 706 00:35:10,920 --> 00:35:14,120 Speaker 1: because without people like yourself, you know, a lot of 707 00:35:14,200 --> 00:35:16,600 Speaker 1: us as we've tried it and we've used it and 708 00:35:16,640 --> 00:35:19,640 Speaker 1: we can have anecdotal evidence of of what it's done 709 00:35:19,680 --> 00:35:22,720 Speaker 1: for us, UM, we really don't have a real product, 710 00:35:23,120 --> 00:35:25,880 Speaker 1: you know, and we need that. And so by you, 711 00:35:25,880 --> 00:35:29,480 Speaker 1: you know, bringing in UM your expertise and spending your 712 00:35:29,520 --> 00:35:33,120 Speaker 1: time to UM develop and show people how to extract 713 00:35:33,200 --> 00:35:36,240 Speaker 1: and properly and and to you know, go ahead and teach, 714 00:35:37,000 --> 00:35:39,840 Speaker 1: it's uh, it's dear to my heart because this industry 715 00:35:39,880 --> 00:35:44,400 Speaker 1: for me is is about UM the medical benefits because 716 00:35:44,400 --> 00:35:46,560 Speaker 1: my father is you know, taught me this industry and 717 00:35:46,600 --> 00:35:50,279 Speaker 1: died on his deathbed with cancer and and through that 718 00:35:50,360 --> 00:35:52,840 Speaker 1: process and you know, on his way out was on 719 00:35:52,880 --> 00:35:55,440 Speaker 1: a lot of oxycot on and vike it in and 720 00:35:55,560 --> 00:35:57,719 Speaker 1: this another stuff, and then finally he just said I'm 721 00:35:57,719 --> 00:36:00,360 Speaker 1: stopping all of it and went to cannabis and he 722 00:36:00,400 --> 00:36:03,600 Speaker 1: had a much quality, better life on the way out, 723 00:36:04,480 --> 00:36:07,160 Speaker 1: although when he went back into comfort care they pumped 724 00:36:07,200 --> 00:36:10,480 Speaker 1: him back up. But you know, but I know I've 725 00:36:10,480 --> 00:36:12,959 Speaker 1: seen it firsthand what it does for people and how 726 00:36:13,000 --> 00:36:15,440 Speaker 1: how this plant can help people. So thank you so 727 00:36:15,560 --> 00:36:17,960 Speaker 1: much for being there, and I appreciate and and people 728 00:36:18,000 --> 00:36:20,040 Speaker 1: have to get used to the craziness. There's a lot 729 00:36:20,080 --> 00:36:22,480 Speaker 1: of different people teaching out there, and there's a lot 730 00:36:22,520 --> 00:36:25,960 Speaker 1: of very quality programs on video and stuff. Mine just 731 00:36:26,000 --> 00:36:29,200 Speaker 1: happens to be a little zany. And you will learn 732 00:36:29,200 --> 00:36:31,920 Speaker 1: from Eminem's and you'll learn from Frosted Flakes, and you'll 733 00:36:32,000 --> 00:36:34,160 Speaker 1: learn how to extract from a lot of crazy things. 734 00:36:35,160 --> 00:36:37,560 Speaker 1: Yes you will. It's a it's a it's a fast 735 00:36:37,600 --> 00:36:42,279 Speaker 1: paced crazy day, easy, easy to easy to learn. Yeah, 736 00:36:42,320 --> 00:36:44,839 Speaker 1: it is. Is it one on one so I I 737 00:36:44,880 --> 00:36:47,000 Speaker 1: never take more than ten to twelve students so I 738 00:36:47,000 --> 00:36:51,600 Speaker 1: can really work through the entire um classroom. But also 739 00:36:51,719 --> 00:36:53,759 Speaker 1: I set up enough things so in the first hour 740 00:36:53,840 --> 00:36:58,360 Speaker 1: they have a common enemy and they work together and 741 00:36:58,400 --> 00:37:01,520 Speaker 1: they become a very group and they stay close to 742 00:37:01,920 --> 00:37:03,400 Speaker 1: you know, the rest of the time. As far as 743 00:37:03,440 --> 00:37:06,480 Speaker 1: I've seen, they stay close as a group, as a class. 744 00:37:07,160 --> 00:37:09,440 Speaker 1: That's amazing. It's a lot of fun. For me, it's 745 00:37:09,480 --> 00:37:11,759 Speaker 1: a lot of fun. Well, Doc, anything else before we 746 00:37:11,840 --> 00:37:13,400 Speaker 1: let you get down out of here. No, it was 747 00:37:13,640 --> 00:37:15,400 Speaker 1: just great. Thank you so much for the time. I 748 00:37:15,440 --> 00:37:18,279 Speaker 1: appreciate it. It It was a good, lively discussion. Well, thank 749 00:37:18,320 --> 00:37:20,480 Speaker 1: you so much. Guys. Check this out. It's Cannabis Talk 750 00:37:20,520 --> 00:37:22,680 Speaker 1: one on one and remember this. If no one else 751 00:37:22,719 --> 00:37:26,160 Speaker 1: loves you, we do. Thank you for listening to Cannabis 752 00:37:26,239 --> 00:37:28,279 Speaker 1: Talk one on one on the I Heart Radio app, 753 00:37:28,440 --> 00:37:31,440 Speaker 1: Apple podcast, or wherever you get your podcasts.