1 00:00:00,040 --> 00:00:01,240 Speaker 1: It's on Munchie's tonight. 2 00:00:01,320 --> 00:00:03,760 Speaker 2: Yo, it's cannabis talf one O one you gonna line 3 00:00:03,800 --> 00:00:06,480 Speaker 2: today it's Blue And. 4 00:00:08,480 --> 00:00:13,040 Speaker 3: For guys, thank you for listening to our podcast, Cannabis 5 00:00:13,080 --> 00:00:15,160 Speaker 3: Talk one on one. Check out our website Cannabis Talk 6 00:00:15,160 --> 00:00:16,919 Speaker 3: one on one dot com as we are their world's 7 00:00:17,000 --> 00:00:19,600 Speaker 3: number one source for everything cannabis. We have so many 8 00:00:19,600 --> 00:00:21,840 Speaker 3: great articles and blogs on our website. Please make sure 9 00:00:21,840 --> 00:00:24,080 Speaker 3: to click the link to see the Cannabis Talk magazine. 10 00:00:24,280 --> 00:00:25,919 Speaker 4: Feel free to call us anytime at one A. 11 00:00:26,000 --> 00:00:27,680 Speaker 1: Hir and four twenty nineteen eight. 12 00:00:29,440 --> 00:00:31,960 Speaker 3: Go check out our ig pages. It's at Cannabis Talk 13 00:00:32,000 --> 00:00:34,240 Speaker 3: one oh one. My boy Blue is at the number 14 00:00:34,240 --> 00:00:37,120 Speaker 3: one Christopher Wright and of course Big Joe Grande is 15 00:00:37,200 --> 00:00:38,400 Speaker 3: at Joe Grandee fifty two. 16 00:00:38,600 --> 00:00:40,720 Speaker 4: And you can find me at the Insider Investor. 17 00:00:41,520 --> 00:00:43,880 Speaker 3: I also have next to me Casper the Friendly Ghost, 18 00:00:44,040 --> 00:00:47,360 Speaker 3: which is not Blue as much, but it's our boy Frankino. 19 00:00:47,840 --> 00:00:47,960 Speaker 5: Yo. 20 00:00:50,640 --> 00:00:53,200 Speaker 4: Now y'all know what time it is time time. 21 00:00:53,880 --> 00:00:56,040 Speaker 3: That's all right, man, think higher with diamond industries. Find 22 00:00:56,080 --> 00:00:59,720 Speaker 3: them in California, Arizona, Oklahoma, New Mexico and represented out 23 00:00:59,720 --> 00:01:02,639 Speaker 3: of camp it A, Toronto, Ottawa and Ontario. Check out 24 00:01:02,640 --> 00:01:06,319 Speaker 3: the website www dot dime industries dot com or on 25 00:01:06,400 --> 00:01:12,440 Speaker 3: ig at dime dot or on ig at dime dot Industries. 26 00:01:12,520 --> 00:01:15,039 Speaker 3: Now today we have somebody very special. We got a 27 00:01:15,120 --> 00:01:17,679 Speaker 3: duo in the house rail out of California. It's a 28 00:01:17,720 --> 00:01:22,000 Speaker 3: premier licensing cannabis analytical testing lab. It's beside us. Now 29 00:01:22,080 --> 00:01:24,440 Speaker 3: is Nate and Claudia Winnaker in studio to give the 30 00:01:24,480 --> 00:01:26,480 Speaker 3: folks at home a bit of an insight on what 31 00:01:26,600 --> 00:01:28,560 Speaker 3: goes on at Bell Costa Labs. 32 00:01:29,200 --> 00:01:29,400 Speaker 4: Now. 33 00:01:29,440 --> 00:01:31,559 Speaker 3: For those of you unfamiliar with the company, Bell Costa 34 00:01:31,600 --> 00:01:34,440 Speaker 3: Labs is leading the evolution of cannabis lab testing through 35 00:01:34,480 --> 00:01:39,080 Speaker 3: agricultural science, education and technology, which is pretty damn cool. 36 00:01:39,319 --> 00:01:43,160 Speaker 3: Bell Costa Labs combines analytical methods, customized technology, and years 37 00:01:43,160 --> 00:01:46,120 Speaker 3: of expertise in the cannabis industry. They can provide the 38 00:01:46,160 --> 00:01:48,880 Speaker 3: highest quality testing lab services for compliance in the state 39 00:01:48,880 --> 00:01:52,000 Speaker 3: of California. Their lab is local here in Long Beach, California, 40 00:01:52,320 --> 00:01:55,400 Speaker 3: and they've been fully operational since twenty eighteen, so they're 41 00:01:55,440 --> 00:01:58,200 Speaker 3: not fly by night. Be sure to get involved by 42 00:01:58,280 --> 00:02:01,600 Speaker 3: visiting the website at www dot Bell Costa Labs dot 43 00:02:01,600 --> 00:02:04,400 Speaker 3: com or follow them on ig at Bell Costa Labs, 44 00:02:04,760 --> 00:02:08,959 Speaker 3: especially from California and New Jersey, Pennsylvania, Maryland or Florida. Now, 45 00:02:09,000 --> 00:02:18,320 Speaker 3: without further d please welcome our friends Nate and Claudia there. So, 46 00:02:18,400 --> 00:02:20,680 Speaker 3: first of all, how did you guys end up finding 47 00:02:20,720 --> 00:02:22,880 Speaker 3: about CT what? I want to what's the relationship here? 48 00:02:23,760 --> 00:02:26,760 Speaker 2: Oh? Well, married couple's that's on the very base. Labe 49 00:02:27,760 --> 00:02:32,040 Speaker 2: originally met well over twenty years ago, and we've been 50 00:02:32,080 --> 00:02:34,040 Speaker 2: together for the last fifteen or so. 51 00:02:34,560 --> 00:02:36,600 Speaker 3: And you guys told me a pretty interesting story. There 52 00:02:36,680 --> 00:02:39,280 Speaker 3: was a little gap there, which I found fascinating. There 53 00:02:39,280 --> 00:02:41,640 Speaker 3: was about an eight year gap before you met again. 54 00:02:41,919 --> 00:02:45,360 Speaker 2: Yeah, yeah, a little rendezvous when we first met, which 55 00:02:45,520 --> 00:02:49,360 Speaker 2: was only you know, let's say it was a good stand, 56 00:02:49,760 --> 00:02:53,720 Speaker 2: you know, and and we met back up about eight 57 00:02:53,760 --> 00:02:54,280 Speaker 2: years later. 58 00:02:54,560 --> 00:02:54,800 Speaker 4: Nice. 59 00:02:54,800 --> 00:02:56,440 Speaker 3: And would you say cannabis has kind of kept you 60 00:02:56,480 --> 00:02:58,120 Speaker 3: together or the business has kept you together? 61 00:02:58,360 --> 00:03:00,880 Speaker 6: I think being business minded, Yeah, has kept us together. 62 00:03:01,120 --> 00:03:01,320 Speaker 6: You know. 63 00:03:01,840 --> 00:03:03,840 Speaker 5: I think we were talking earlier and I mentioned I 64 00:03:03,919 --> 00:03:07,280 Speaker 5: wasn't much for love, but when I found that, you know, 65 00:03:07,520 --> 00:03:09,440 Speaker 5: I could get a friend and somebody who could be 66 00:03:09,480 --> 00:03:10,440 Speaker 5: a business partner as well. 67 00:03:10,840 --> 00:03:12,480 Speaker 6: I think it was pretty organic after that. 68 00:03:12,480 --> 00:03:14,799 Speaker 3: That's awesome. Now, you guys grew up grew up here 69 00:03:14,800 --> 00:03:15,720 Speaker 3: in southern California. 70 00:03:16,120 --> 00:03:19,080 Speaker 2: Yeah, originally from East Coast for me, and then did 71 00:03:19,360 --> 00:03:21,679 Speaker 2: most of my growing between split there and here. 72 00:03:22,000 --> 00:03:24,200 Speaker 4: And Chris, you've known them outside of business, right, Oh? 73 00:03:24,280 --> 00:03:27,440 Speaker 1: Yeah, I've known Nate and Klaia now for gosh, I no, seven. 74 00:03:27,280 --> 00:03:29,400 Speaker 6: Six years something like that. It was a while ago. 75 00:03:29,520 --> 00:03:30,600 Speaker 6: But yeah, it's a good time. 76 00:03:31,520 --> 00:03:33,120 Speaker 2: I'm going to say the better part of ten years. 77 00:03:33,120 --> 00:03:35,760 Speaker 1: Man, it's yeah, right, I feel like it's been a 78 00:03:35,760 --> 00:03:38,680 Speaker 1: lot longer than you think. Yeah, so you guys, I 79 00:03:38,680 --> 00:03:41,440 Speaker 1: didn't realize that you went to school then in the 80 00:03:41,560 --> 00:03:43,520 Speaker 1: East Coast? Is that where you went to school? You 81 00:03:43,520 --> 00:03:45,080 Speaker 1: were born there and then came here. 82 00:03:45,080 --> 00:03:50,240 Speaker 2: Born, partially raised there, then partially raised here. Okay, school wise, 83 00:03:50,320 --> 00:03:53,640 Speaker 2: I mean in the streets mostly of California taught me. 84 00:03:53,720 --> 00:03:55,600 Speaker 2: So I can't really give that much credit to the 85 00:03:55,640 --> 00:03:56,680 Speaker 2: East Coast in that sense. 86 00:03:57,880 --> 00:04:01,240 Speaker 3: Whence you guys met the was it you already had 87 00:04:01,240 --> 00:04:03,160 Speaker 3: a company or were you in the space. You guys 88 00:04:03,240 --> 00:04:04,560 Speaker 3: kind of told me the background, but I thought it 89 00:04:04,560 --> 00:04:05,840 Speaker 3: was really interesting that connection. 90 00:04:06,240 --> 00:04:09,560 Speaker 5: Yeah, you know, my friend who had introduced us originally 91 00:04:09,640 --> 00:04:11,720 Speaker 5: ran into him and gave me an edge was like, hey, 92 00:04:11,720 --> 00:04:14,080 Speaker 5: I guess so I ran into and then just kind 93 00:04:14,080 --> 00:04:16,640 Speaker 5: of fast forwarding us to you know, getting along, made 94 00:04:16,640 --> 00:04:17,640 Speaker 5: it back up again. 95 00:04:18,960 --> 00:04:19,200 Speaker 6: Again. 96 00:04:19,240 --> 00:04:22,240 Speaker 5: We were both very business minded, but at the time 97 00:04:22,320 --> 00:04:25,359 Speaker 5: we were both in Mission Veehle area, so a lot 98 00:04:25,400 --> 00:04:28,279 Speaker 5: of the South Orange County shops were closing and whatnot. 99 00:04:28,440 --> 00:04:31,160 Speaker 5: So we had kind of already been talking about a 100 00:04:31,160 --> 00:04:34,359 Speaker 5: little edible company and he's really a genius at formulation, 101 00:04:34,560 --> 00:04:37,240 Speaker 5: so we were playing around with the idea until you know, 102 00:04:37,279 --> 00:04:39,159 Speaker 5: one day he calls me and he says, hey, follow 103 00:04:39,160 --> 00:04:41,560 Speaker 5: me home from work. And I said, okay, why and 104 00:04:41,600 --> 00:04:43,280 Speaker 5: He's like, I'll tell you later. So I'm like, oh great. 105 00:04:44,279 --> 00:04:48,120 Speaker 5: Turns out one of the dispensers had closed and he 106 00:04:48,240 --> 00:04:50,440 Speaker 5: had picked up a lot of pounds. 107 00:04:50,440 --> 00:04:50,839 Speaker 6: I forgot. 108 00:04:51,080 --> 00:04:53,160 Speaker 2: They had dumped a bunch of their trim on us, 109 00:04:53,200 --> 00:04:55,239 Speaker 2: which was, you know, nothing that you were going to smoke, 110 00:04:55,320 --> 00:04:58,839 Speaker 2: but which was a fantastic grade for extraction or infusion 111 00:04:58,920 --> 00:05:01,960 Speaker 2: or anything like that. So what we're looking at is, 112 00:05:02,200 --> 00:05:04,520 Speaker 2: you know, green gold that you would use back in 113 00:05:04,520 --> 00:05:07,680 Speaker 2: that day to start up an amateur but still passable 114 00:05:07,800 --> 00:05:10,640 Speaker 2: edibles company. And that's you know, a major area of 115 00:05:10,680 --> 00:05:12,440 Speaker 2: where we first started working together. 116 00:05:12,520 --> 00:05:13,800 Speaker 4: And this is about eight years ago. 117 00:05:14,400 --> 00:05:18,480 Speaker 2: This is closer to a dozen years ago, Wow, maybe. 118 00:05:18,240 --> 00:05:21,080 Speaker 6: Thirteen years ago or so. 119 00:05:21,080 --> 00:05:27,040 Speaker 5: So yeah, that kind of kicked off our cookie bootlegging. 120 00:05:27,400 --> 00:05:28,520 Speaker 4: What what you mentioned? 121 00:05:28,520 --> 00:05:30,960 Speaker 3: It was his recipes he used. Was that something you 122 00:05:31,000 --> 00:05:32,880 Speaker 3: just picked up from growing up? Or was it from 123 00:05:32,880 --> 00:05:33,480 Speaker 3: one of the shops? 124 00:05:33,480 --> 00:05:35,279 Speaker 1: Did it start off as like just normal kind of 125 00:05:35,279 --> 00:05:38,280 Speaker 1: butter that were you using it? You were already extracting, extracting. 126 00:05:38,000 --> 00:05:41,120 Speaker 2: I was making for so back then, you know edibles. 127 00:05:41,200 --> 00:05:43,039 Speaker 2: You know, I got to give credit to the edible 128 00:05:43,080 --> 00:05:46,320 Speaker 2: manufacturers and fuse manufacturers that do it for real now, 129 00:05:46,720 --> 00:05:49,359 Speaker 2: because what we were doing then is an absolute, you know, 130 00:05:49,800 --> 00:05:53,400 Speaker 2: a joke, and compared to what a massive, multimillion dollar 131 00:05:53,640 --> 00:05:57,480 Speaker 2: operation is capable of putting together these days, we did 132 00:05:57,680 --> 00:06:00,599 Speaker 2: an awesome job which happened to be on the uppermost 133 00:06:00,600 --> 00:06:04,000 Speaker 2: echelon of what was produced a dozen years ago. And 134 00:06:04,400 --> 00:06:07,360 Speaker 2: with that, I would change, you know, to answer your question, 135 00:06:07,640 --> 00:06:10,320 Speaker 2: I would change it up based on the formula. Sometimes butter, 136 00:06:10,400 --> 00:06:13,440 Speaker 2: sometimes oil. It would be infused in different amounts in 137 00:06:13,440 --> 00:06:16,840 Speaker 2: different ways because I realized mathematically what I was trying 138 00:06:16,839 --> 00:06:20,719 Speaker 2: to achieve with that end product. So kind of fun yeah, 139 00:06:20,800 --> 00:06:24,279 Speaker 2: I'm able to put stuff together. I just understand and 140 00:06:24,440 --> 00:06:26,240 Speaker 2: see kind of how it all fits together. I had 141 00:06:26,320 --> 00:06:28,880 Speaker 2: already been in cannabis, granted, this was a little bit 142 00:06:28,880 --> 00:06:32,320 Speaker 2: more of a serious role making infused products that people 143 00:06:32,320 --> 00:06:35,360 Speaker 2: are going to be, you know, consuming right now. I'd 144 00:06:35,400 --> 00:06:37,360 Speaker 2: been in cannabis for a while and kind of got 145 00:06:37,400 --> 00:06:39,240 Speaker 2: in and understood it. But if I really was going 146 00:06:39,320 --> 00:06:43,160 Speaker 2: to apply math and science to anything seriously, it started here. 147 00:06:43,200 --> 00:06:45,719 Speaker 2: And it was my first exercise in playing with like 148 00:06:45,800 --> 00:06:47,680 Speaker 2: formula and the chemistry of cannabis. 149 00:06:47,920 --> 00:06:50,720 Speaker 3: And when we spoke earlier, you were speaking at such 150 00:06:50,760 --> 00:06:52,159 Speaker 3: a level that I said, you know, are you a 151 00:06:52,160 --> 00:06:54,480 Speaker 3: NASA engineer or do you have a science background or 152 00:06:54,520 --> 00:06:56,000 Speaker 3: did you go to some weirds college and. 153 00:06:56,400 --> 00:06:59,240 Speaker 2: Now partial college? But you know, I got caught up 154 00:06:59,279 --> 00:07:02,679 Speaker 2: with you know, and just having to make money well 155 00:07:02,680 --> 00:07:04,800 Speaker 2: before I was able to finish college. So all of 156 00:07:04,800 --> 00:07:05,320 Speaker 2: this has been. 157 00:07:05,279 --> 00:07:06,560 Speaker 4: Learned, the sciences from the streets. 158 00:07:06,640 --> 00:07:09,200 Speaker 2: You would say it's been learned. You know, some of 159 00:07:09,240 --> 00:07:12,800 Speaker 2: it directly, you know, asking questions, being there, watching how 160 00:07:12,840 --> 00:07:15,520 Speaker 2: things go. Being in a science role too, especially as 161 00:07:15,560 --> 00:07:20,360 Speaker 2: a testing lab, you see things attempted over and over again. 162 00:07:20,520 --> 00:07:22,960 Speaker 2: It's a funnel right, you know, and we catch everything 163 00:07:22,960 --> 00:07:25,520 Speaker 2: at the top of the funnel, and with the test 164 00:07:25,600 --> 00:07:27,920 Speaker 2: of time we get to see everything that still exists 165 00:07:27,920 --> 00:07:30,160 Speaker 2: at the bottom of that. And so being able to 166 00:07:30,240 --> 00:07:34,400 Speaker 2: understand and bridge what makes really products cannabis products exist 167 00:07:34,480 --> 00:07:37,080 Speaker 2: and succeed. We got a great view of that. I 168 00:07:37,160 --> 00:07:39,320 Speaker 2: got a really good view of that also from a 169 00:07:39,400 --> 00:07:43,080 Speaker 2: chemistry perspective, and so that whole backdrop of what it 170 00:07:43,120 --> 00:07:45,840 Speaker 2: takes to make something great but at the same time 171 00:07:46,000 --> 00:07:49,960 Speaker 2: have something that's going to be you know, enjoyable, consumable, 172 00:07:50,040 --> 00:07:53,480 Speaker 2: done right, consist and everything else you would value. I 173 00:07:53,520 --> 00:07:57,080 Speaker 2: came across that all because of my experience knowledge, and 174 00:07:57,400 --> 00:07:58,520 Speaker 2: I guess I was geared for it. 175 00:07:58,560 --> 00:08:00,640 Speaker 1: You know, were you always into science as a kid 176 00:08:00,800 --> 00:08:02,880 Speaker 1: kid growing up? Was signed something that I just always 177 00:08:03,120 --> 00:08:03,840 Speaker 1: kind of intrigued you? 178 00:08:03,920 --> 00:08:06,640 Speaker 2: Or I was all over the Yeah in place. 179 00:08:06,440 --> 00:08:10,960 Speaker 1: Man and you, Miss Claudia. What about your background. I 180 00:08:10,960 --> 00:08:12,720 Speaker 1: know you've got a college education. 181 00:08:13,000 --> 00:08:14,800 Speaker 6: Yeah, I went to film school. 182 00:08:15,560 --> 00:08:20,800 Speaker 5: I focused on marketing and advertising, and so I moved 183 00:08:20,800 --> 00:08:24,600 Speaker 5: to New York with you know, big city dreams, and 184 00:08:25,000 --> 00:08:27,000 Speaker 5: I was living them. I got a job at a 185 00:08:27,000 --> 00:08:30,480 Speaker 5: really great agency working with major corporate companies. Jeff Blue 186 00:08:30,560 --> 00:08:35,880 Speaker 5: Mountain Dew like Microsoft, all these awesome companies, and unfortunately 187 00:08:35,880 --> 00:08:38,679 Speaker 5: the company got bought out at the beginning of my 188 00:08:38,720 --> 00:08:43,040 Speaker 5: first recession, and I begrudgingly did not want to leave 189 00:08:43,120 --> 00:08:47,320 Speaker 5: New York because I loved it out there and you know, 190 00:08:47,440 --> 00:08:50,600 Speaker 5: but unfortunately I got let go. Everybody in the company 191 00:08:50,640 --> 00:08:51,760 Speaker 5: was like, what are we gonna do now? How do 192 00:08:51,800 --> 00:08:52,640 Speaker 5: we find any file? 193 00:08:53,040 --> 00:08:54,440 Speaker 6: Like you're on guys. 194 00:08:54,559 --> 00:08:57,640 Speaker 5: But so I did my best to stay in New York, 195 00:08:57,679 --> 00:08:58,880 Speaker 5: but unfortunate, I can afford it. 196 00:08:58,920 --> 00:08:59,880 Speaker 1: What part of New York were you in? 197 00:09:00,120 --> 00:09:00,760 Speaker 6: In Manhattan? 198 00:09:00,840 --> 00:09:04,160 Speaker 5: I lived in Harlem, Yeah, up in six and left 199 00:09:04,360 --> 00:09:06,040 Speaker 5: six and Lexington, if I can say it. 200 00:09:07,000 --> 00:09:07,600 Speaker 6: And so. 201 00:09:09,280 --> 00:09:11,959 Speaker 5: And I worked in Chelsea and anyway, I started to 202 00:09:12,040 --> 00:09:14,640 Speaker 5: move back home and then I kept trying to fulfill 203 00:09:14,640 --> 00:09:17,080 Speaker 5: my marketing dreams, but the universe was like, no, not 204 00:09:17,120 --> 00:09:17,679 Speaker 5: going to happen. 205 00:09:18,480 --> 00:09:20,000 Speaker 6: And then when. 206 00:09:19,800 --> 00:09:22,120 Speaker 5: We started dating, I kind of just fell into cannabis. 207 00:09:22,120 --> 00:09:24,840 Speaker 5: And with my marketing expertise, I kind of and you know, 208 00:09:24,920 --> 00:09:27,720 Speaker 5: project management expertise because I managed a lot of creative projects, 209 00:09:27,760 --> 00:09:29,360 Speaker 5: I kind of was able to hold everything together. 210 00:09:31,600 --> 00:09:34,080 Speaker 6: And then I kept trying to leave cannabis because. 211 00:09:33,840 --> 00:09:35,319 Speaker 1: I'm like I was gonna say, were you already like 212 00:09:35,360 --> 00:09:36,520 Speaker 1: a consumer of cannabis. 213 00:09:36,559 --> 00:09:39,080 Speaker 5: I mean, like, yeah, I've been a consumer of cannabis 214 00:09:39,120 --> 00:09:40,920 Speaker 5: since I was nineteen. I'm not gonna say how well 215 00:09:40,960 --> 00:09:45,800 Speaker 5: I am now. Yeah, right, and then it's gotten me 216 00:09:45,880 --> 00:09:49,520 Speaker 5: through all of the recessions. But actually a lot of 217 00:09:49,520 --> 00:09:51,480 Speaker 5: my cannabis you started because I had a really bad 218 00:09:51,520 --> 00:09:55,120 Speaker 5: like stomach pains, and then I just depression all the 219 00:09:55,120 --> 00:09:56,480 Speaker 5: fun stuff people use cannabis for. 220 00:09:58,000 --> 00:09:59,160 Speaker 6: But yeah, so I just. 221 00:09:59,120 --> 00:10:02,160 Speaker 5: Started freelance graph designing for a lot of cannabis companies 222 00:10:03,280 --> 00:10:06,480 Speaker 5: because just the corporate world just sucks, like unless you're 223 00:10:06,480 --> 00:10:09,320 Speaker 5: willing to kiss somebody's butt or I don't know, I 224 00:10:09,360 --> 00:10:11,520 Speaker 5: just don't play those games. And I think that's why 225 00:10:11,520 --> 00:10:13,400 Speaker 5: I didn't make it in that world, because I don't know. 226 00:10:13,320 --> 00:10:13,959 Speaker 6: How to shut up. 227 00:10:14,559 --> 00:10:17,760 Speaker 5: So so I just kind of, you know, remained in 228 00:10:17,760 --> 00:10:20,200 Speaker 5: the industry, and you know, we did our edible company, 229 00:10:20,240 --> 00:10:24,120 Speaker 5: and I, you know, freelance graphic design and then you know, 230 00:10:24,240 --> 00:10:26,760 Speaker 5: through I can't even tell you how many cannabis shows 231 00:10:26,760 --> 00:10:29,439 Speaker 5: we've been to together, a lot of it. The reason 232 00:10:29,480 --> 00:10:31,640 Speaker 5: where we are where we are right now is because 233 00:10:31,679 --> 00:10:34,400 Speaker 5: of the footwork we put in. We you know, Frantino knows. 234 00:10:35,360 --> 00:10:37,040 Speaker 5: We put in a lot of footwork with you know, 235 00:10:37,280 --> 00:10:40,439 Speaker 5: how we work together, and we went we've probably I 236 00:10:40,440 --> 00:10:43,559 Speaker 5: don't even know how many how many shows we've gone to, probably, so. 237 00:10:43,600 --> 00:10:48,680 Speaker 2: That's to say actual cannabis events. Yeah, yeah, yeah, hundreds 238 00:10:48,720 --> 00:10:51,600 Speaker 2: and hundreds. I mean, the number I've surely seen that 239 00:10:51,640 --> 00:10:54,360 Speaker 2: you guys at and hung out is far dozens at 240 00:10:54,360 --> 00:10:56,439 Speaker 2: this point. So yeah, hundreds overall. 241 00:10:56,520 --> 00:10:58,160 Speaker 5: Well, and honestly, that's kind of how we met people 242 00:10:58,160 --> 00:10:59,880 Speaker 5: because people were just be like, I guess they're everywhere, 243 00:10:59,880 --> 00:11:02,520 Speaker 5: like you're here too, you know, And that's how we 244 00:11:02,559 --> 00:11:04,559 Speaker 5: made the connections. And that's how we've known the people 245 00:11:04,600 --> 00:11:07,960 Speaker 5: that we know today because a lot of them are veterans. 246 00:11:08,000 --> 00:11:09,599 Speaker 6: We were at times where there was a lot of 247 00:11:09,640 --> 00:11:10,320 Speaker 6: great area. 248 00:11:10,559 --> 00:11:13,840 Speaker 5: And I'm not saying we're swimming above water now because 249 00:11:13,920 --> 00:11:15,640 Speaker 5: I feel, you know, cannabis. 250 00:11:15,240 --> 00:11:17,839 Speaker 6: Is still an industry where you're working super hard to 251 00:11:17,920 --> 00:11:18,920 Speaker 6: keep your headup of water. 252 00:11:20,400 --> 00:11:25,000 Speaker 5: But yeah, I guess, long answer, but that's kind of 253 00:11:25,160 --> 00:11:28,400 Speaker 5: you know, how I stayed in the cannabis space, you. 254 00:11:28,360 --> 00:11:29,719 Speaker 6: Know, it just like dragging me back in. 255 00:11:31,320 --> 00:11:32,960 Speaker 1: And then we'll come back right now and we're going 256 00:11:33,040 --> 00:11:35,160 Speaker 1: to hear how you guys actually got into the testing 257 00:11:35,240 --> 00:11:36,640 Speaker 1: side of it all. We'd love to hear that kind 258 00:11:36,679 --> 00:11:37,840 Speaker 1: of start one one we rab back. 259 00:11:37,880 --> 00:11:42,680 Speaker 7: Too, Funnel Cannabis Talk one on one on all social 260 00:11:42,720 --> 00:11:46,000 Speaker 7: media and Cannabis Talk one on one. Subscribe to our 261 00:11:46,000 --> 00:11:49,160 Speaker 7: weekly newsletter on our website Cannabis Talk one on one 262 00:11:49,200 --> 00:12:00,160 Speaker 7: dot com. 263 00:12:00,640 --> 00:12:04,080 Speaker 8: Cannabis SoC one oh one with Blue and Joe Grande, 264 00:12:04,400 --> 00:12:08,040 Speaker 8: the world's number one source for everything cannabis. 265 00:12:08,080 --> 00:12:09,959 Speaker 3: One of my favorites. The Bear Flag Group is your 266 00:12:10,000 --> 00:12:12,640 Speaker 3: white label partners. They are known to be on time, accurate, 267 00:12:12,640 --> 00:12:15,160 Speaker 3: and they do quality copacking. They've been launching brands in 268 00:12:15,160 --> 00:12:18,120 Speaker 3: California since twenty fifteen, and the Bear Flag Group do 269 00:12:18,200 --> 00:12:19,240 Speaker 3: what they say they will do. 270 00:12:19,320 --> 00:12:21,760 Speaker 4: Go check them out at bear flaggroup dot com. 271 00:12:21,840 --> 00:12:24,240 Speaker 3: We're back here with Nadan Claudia and right before we 272 00:12:24,320 --> 00:12:26,839 Speaker 3: left on break, I wanted to hear earlier when you 273 00:12:26,880 --> 00:12:28,600 Speaker 3: guys showed up a little bit earlier. We were talking 274 00:12:28,640 --> 00:12:32,280 Speaker 3: about the challenges and your passion about testing, and when 275 00:12:32,320 --> 00:12:34,720 Speaker 3: you start talking, you are like a little mad scientist, 276 00:12:34,840 --> 00:12:37,200 Speaker 3: so I may cut you off as you get too technical, 277 00:12:37,320 --> 00:12:40,200 Speaker 3: but it's something that I really appreciate because it's me 278 00:12:40,320 --> 00:12:42,160 Speaker 3: being a little bit more amateur in the in the 279 00:12:42,600 --> 00:12:45,120 Speaker 3: if you will, the marijuana space. It's something that's always 280 00:12:45,160 --> 00:12:46,760 Speaker 3: been on my mind, the questions we brought up. But 281 00:12:46,800 --> 00:12:48,360 Speaker 3: give me give us a little background about how you 282 00:12:48,360 --> 00:12:50,880 Speaker 3: got into testing, because where we left you guys were 283 00:12:50,880 --> 00:12:52,679 Speaker 3: more of the edible and the shake and your kind 284 00:12:52,679 --> 00:12:53,920 Speaker 3: of connoisseurs and you met. 285 00:12:54,320 --> 00:12:55,960 Speaker 4: Give us a little bit background on the company. 286 00:12:56,280 --> 00:12:58,360 Speaker 5: I'll start off briefly, but you'll kind of take over 287 00:12:58,520 --> 00:13:00,880 Speaker 5: because it was our put in the door that kind 288 00:13:00,920 --> 00:13:03,200 Speaker 5: of got in his first job at the time, I 289 00:13:03,240 --> 00:13:05,520 Speaker 5: was working for a company called Medbox, which you know, 290 00:13:05,720 --> 00:13:07,920 Speaker 5: was a company ahead of their game. I think they 291 00:13:07,960 --> 00:13:11,599 Speaker 5: were doing the automated machines. And you know, unfortunately a 292 00:13:11,960 --> 00:13:13,480 Speaker 5: wonderful person who ran a company. 293 00:13:13,520 --> 00:13:16,280 Speaker 6: I love him to death, but he was just way 294 00:13:16,280 --> 00:13:16,960 Speaker 6: ahead of his time. 295 00:13:18,840 --> 00:13:21,440 Speaker 5: But through that connection, we worked with weed Maps and 296 00:13:22,080 --> 00:13:23,839 Speaker 5: I was in touch a lot with like the head 297 00:13:23,840 --> 00:13:25,520 Speaker 5: of sales at we'd maps, and we'd always talk about 298 00:13:25,520 --> 00:13:28,480 Speaker 5: how his salespeople were kind of, you know, pushing a 299 00:13:28,480 --> 00:13:30,640 Speaker 5: little too hard on my people all these dispensaries we 300 00:13:30,640 --> 00:13:33,400 Speaker 5: were opening, and so we had this fun relationship and 301 00:13:34,920 --> 00:13:38,040 Speaker 5: at the time, you know, we realized that in order 302 00:13:38,080 --> 00:13:40,760 Speaker 5: to maintain an entrepreneurial venture that you also need a 303 00:13:40,840 --> 00:13:43,839 Speaker 5: day job. And so Nate started looking for stuff in 304 00:13:43,880 --> 00:13:46,040 Speaker 5: the industry and we just happened to know a lab 305 00:13:46,040 --> 00:13:49,440 Speaker 5: that was opening up, and that's when, you know, through connections, 306 00:13:49,520 --> 00:13:50,959 Speaker 5: Nate was able to kind of get his foot in 307 00:13:51,000 --> 00:13:51,560 Speaker 5: the door into. 308 00:13:51,400 --> 00:13:52,040 Speaker 6: The lab space. 309 00:13:53,160 --> 00:13:55,880 Speaker 2: So lab testing was just starting out right about them, 310 00:13:56,000 --> 00:14:01,720 Speaker 2: so early twenty tens, so lab thank you for that 311 00:14:01,760 --> 00:14:06,600 Speaker 2: warm intro to by way. Yes, so everything everything kind 312 00:14:06,640 --> 00:14:09,520 Speaker 2: of was starting to come together. There were quite a 313 00:14:09,520 --> 00:14:13,160 Speaker 2: few labs really, the one that I started working for 314 00:14:13,280 --> 00:14:15,520 Speaker 2: is I think the only one that's still in existence. 315 00:14:15,559 --> 00:14:17,480 Speaker 2: Then a lot of people had a lot of weird 316 00:14:17,520 --> 00:14:20,000 Speaker 2: ideas about what lab testing would be because it wasn't 317 00:14:20,000 --> 00:14:22,760 Speaker 2: really defined. Nobody really knew what to use it for. 318 00:14:22,800 --> 00:14:24,800 Speaker 2: In fact, most of the time it was just used 319 00:14:24,800 --> 00:14:28,200 Speaker 2: to market cannabis. It was you know, some even there 320 00:14:28,240 --> 00:14:30,840 Speaker 2: were even some municipalities that said you had to get 321 00:14:30,840 --> 00:14:33,280 Speaker 2: your stuff tested, and people said, sure, I'll just get 322 00:14:33,280 --> 00:14:36,320 Speaker 2: a THHC tested. At least it was an intro to it. 323 00:14:36,400 --> 00:14:38,920 Speaker 2: And by the time that I had run my course 324 00:14:39,000 --> 00:14:42,360 Speaker 2: with that first lab, I had seen roughly you know, 325 00:14:42,560 --> 00:14:45,080 Speaker 2: six years or so of activity. I had a lot 326 00:14:45,080 --> 00:14:47,960 Speaker 2: of ideas in terms of how cannabis was working. This 327 00:14:48,080 --> 00:14:50,760 Speaker 2: was part of my crash course also in seeing how 328 00:14:50,800 --> 00:14:54,200 Speaker 2: cannabis just generally could be. Again, I saw all of 329 00:14:54,240 --> 00:14:57,520 Speaker 2: those different products that existed or ceased to and so 330 00:14:57,680 --> 00:15:00,400 Speaker 2: I watched all of this chemistry, basically how happening in 331 00:15:00,440 --> 00:15:03,240 Speaker 2: real time as I was helping to run the Southern 332 00:15:03,240 --> 00:15:06,680 Speaker 2: California aspect of this lab. Went from me as the 333 00:15:06,680 --> 00:15:09,760 Speaker 2: only employee to roughly seventeen or eighteen employees that were 334 00:15:09,840 --> 00:15:14,080 Speaker 2: under me, and everything was going just peachy. At that point, 335 00:15:14,160 --> 00:15:16,560 Speaker 2: I did exceed. I did realize that I succeeded what 336 00:15:16,600 --> 00:15:18,800 Speaker 2: that lab could do, and I left to become a 337 00:15:18,840 --> 00:15:22,560 Speaker 2: science consultant for cannabis. I saw a little sample of everything. 338 00:15:22,600 --> 00:15:25,360 Speaker 2: I saw how everything worked, and I could help in operation. 339 00:15:25,720 --> 00:15:27,600 Speaker 2: Did you want to make your stuff stronger? Did you 340 00:15:27,600 --> 00:15:29,880 Speaker 2: want to increase your yield? Did you want a means 341 00:15:29,880 --> 00:15:32,760 Speaker 2: of being able to educate your corporate crew? All of 342 00:15:32,760 --> 00:15:35,920 Speaker 2: these existed this point, even I was working closely with 343 00:15:35,960 --> 00:15:39,360 Speaker 2: Blue and all that fun stuff. Moved forward through the 344 00:15:39,400 --> 00:15:42,480 Speaker 2: next year or so of working pretty much exclusively in 345 00:15:42,520 --> 00:15:46,160 Speaker 2: cannabis science and just being a freelance gun for hire 346 00:15:46,200 --> 00:15:50,400 Speaker 2: in that sense, We ended up meeting this group who 347 00:15:50,640 --> 00:15:54,160 Speaker 2: were from outside cannabis, but who found out who I 348 00:15:54,480 --> 00:15:57,600 Speaker 2: was and who we were and what we've accomplished, got 349 00:15:57,640 --> 00:16:00,480 Speaker 2: to know us, and ultimately decided that they were going 350 00:16:00,520 --> 00:16:03,880 Speaker 2: to utilize our skill set to go from helping them 351 00:16:03,920 --> 00:16:06,680 Speaker 2: write a business plan to actually building a lab. 352 00:16:06,800 --> 00:16:08,840 Speaker 3: So these were investors. These were not people that were 353 00:16:08,880 --> 00:16:10,720 Speaker 3: in the lab industry. 354 00:16:10,560 --> 00:16:13,840 Speaker 2: They were, you know, their own version of entrepreneurs. They 355 00:16:13,920 --> 00:16:16,120 Speaker 2: knew they wanted to get into cannabis and operate in 356 00:16:16,160 --> 00:16:18,800 Speaker 2: it all the time. Interesting and to their credit, you know, 357 00:16:18,920 --> 00:16:23,239 Speaker 2: they wanted to find somebody or somebody's that had experience 358 00:16:23,280 --> 00:16:26,560 Speaker 2: in the industry before, specifically in the lab space. So 359 00:16:26,880 --> 00:16:29,560 Speaker 2: you know, it was very much a you know, very 360 00:16:29,640 --> 00:16:32,840 Speaker 2: much of a small company mentality, still is really, but 361 00:16:32,960 --> 00:16:35,280 Speaker 2: it was very much of a small company mentality. We 362 00:16:35,680 --> 00:16:38,240 Speaker 2: divided up all of the tasks. We figured out what 363 00:16:38,280 --> 00:16:41,400 Speaker 2: we needed to do to design the lab, to manage workflow, 364 00:16:41,640 --> 00:16:43,960 Speaker 2: to get an operating system that will run it all. 365 00:16:44,480 --> 00:16:48,040 Speaker 2: We put it all together from scratch. Wow, it was insane, 366 00:16:48,120 --> 00:16:51,640 Speaker 2: But within a year or so twenty seventeen to twenty eighteen, 367 00:16:52,000 --> 00:16:54,440 Speaker 2: that lab was just about ready to open and fully 368 00:16:54,480 --> 00:16:57,680 Speaker 2: built out. And so now that was really the birth 369 00:16:57,720 --> 00:17:01,280 Speaker 2: of Belcosta Labs. So many people Bell Costal Labs come 370 00:17:01,280 --> 00:17:04,000 Speaker 2: in and just sort of take over in a huge way. 371 00:17:04,240 --> 00:17:07,359 Speaker 2: Where the hell did these guys come from? And it 372 00:17:07,600 --> 00:17:09,320 Speaker 2: was simply that that's. 373 00:17:09,160 --> 00:17:11,639 Speaker 3: The name that you opened up with, or flabs, So 374 00:17:11,680 --> 00:17:14,360 Speaker 3: that was the first iteration of belcost Labs. 375 00:17:14,400 --> 00:17:16,679 Speaker 6: Just to kind of backtrack a little bit. 376 00:17:16,720 --> 00:17:18,199 Speaker 5: When he left the lab, one of the things I 377 00:17:18,240 --> 00:17:21,119 Speaker 5: told him was because while he was working there, everybody 378 00:17:21,280 --> 00:17:24,560 Speaker 5: was picking his brain all the time, like constantly, all 379 00:17:24,640 --> 00:17:26,840 Speaker 5: hours of the day, like it's like, dude. 380 00:17:26,680 --> 00:17:30,080 Speaker 1: You from everywhere everybody. 381 00:17:30,280 --> 00:17:32,600 Speaker 3: So he was like the science director, the doctor oz 382 00:17:32,640 --> 00:17:34,000 Speaker 3: of science for pretty. 383 00:17:33,760 --> 00:17:34,800 Speaker 6: Much like everybody could. 384 00:17:34,800 --> 00:17:36,879 Speaker 5: He's just a genius when it comes to formulations, and 385 00:17:36,880 --> 00:17:38,879 Speaker 5: honestly his intelligence is but you know, did it for 386 00:17:38,920 --> 00:17:43,520 Speaker 5: me because and he fed me good food anyway, but he. 387 00:17:43,560 --> 00:17:45,040 Speaker 6: Really just knew his stuff so well. 388 00:17:45,320 --> 00:17:47,720 Speaker 5: So you know, once we had kind of seen the 389 00:17:47,760 --> 00:17:49,639 Speaker 5: max capacity that he could do for this lab, I 390 00:17:49,680 --> 00:17:52,080 Speaker 5: was just like, tell everybody who has kept you on 391 00:17:52,080 --> 00:17:54,760 Speaker 5: the phone for an hour that you are now available. 392 00:17:54,960 --> 00:17:59,440 Speaker 5: Your time is available. And it took off, everybody wanted 393 00:17:59,480 --> 00:18:01,639 Speaker 5: his time. Everybody didn't care what his fee was. 394 00:18:01,880 --> 00:18:02,479 Speaker 1: That's the marketing. 395 00:18:02,680 --> 00:18:06,280 Speaker 5: It was amazing and and like need said, through those 396 00:18:06,280 --> 00:18:09,560 Speaker 5: connections that's how we kind of you know, met you know, 397 00:18:09,720 --> 00:18:12,480 Speaker 5: the partners at Belcosta so and it's been great. 398 00:18:12,520 --> 00:18:15,399 Speaker 6: They're they're wonderful people. It's a much better home. So 399 00:18:15,440 --> 00:18:15,960 Speaker 6: you guys. 400 00:18:15,800 --> 00:18:17,879 Speaker 2: Start so you started out to know you during that 401 00:18:17,920 --> 00:18:18,480 Speaker 2: time too. 402 00:18:18,440 --> 00:18:20,639 Speaker 1: Yeah, like during that transition when you guys were still 403 00:18:21,000 --> 00:18:21,600 Speaker 1: in between. 404 00:18:21,880 --> 00:18:23,240 Speaker 2: Yep, that's when I got to know you, bro. 405 00:18:23,440 --> 00:18:26,280 Speaker 1: Yeah, so you guys started off just doing THC when 406 00:18:26,320 --> 00:18:28,000 Speaker 1: you first got started at the other lab. But now 407 00:18:28,040 --> 00:18:29,920 Speaker 1: that you're over here, explained to us all the different 408 00:18:29,960 --> 00:18:31,919 Speaker 1: types of tests and that you guys are doing, you know, 409 00:18:32,000 --> 00:18:33,400 Speaker 1: to help keep cannabis safe as well. 410 00:18:34,000 --> 00:18:37,840 Speaker 2: So back then there was you know, like the half 411 00:18:38,000 --> 00:18:42,040 Speaker 2: arsed version of running everything. There were other tests. But 412 00:18:42,119 --> 00:18:45,639 Speaker 2: if I recall roughly, out of everybody coming in, you know, 413 00:18:45,760 --> 00:18:48,200 Speaker 2: the number of tests they would request was one point 414 00:18:48,200 --> 00:18:51,240 Speaker 2: one tests right there. So out of every ten different 415 00:18:51,280 --> 00:18:54,640 Speaker 2: tests samples you'd received, you might have somebody requesting one 416 00:18:54,680 --> 00:18:58,040 Speaker 2: other type of you know analysis. Fast forward to here, 417 00:18:58,080 --> 00:19:00,679 Speaker 2: where you have nearly ten different types of analysis that 418 00:19:00,760 --> 00:19:05,280 Speaker 2: happens to licensed cannabis product, right, So depending on what 419 00:19:05,359 --> 00:19:08,159 Speaker 2: you're talking about, it shifts from matrix to matrix. But 420 00:19:08,440 --> 00:19:11,760 Speaker 2: we're going to that later. The idea that everything was 421 00:19:11,840 --> 00:19:14,959 Speaker 2: able to show and go from and by the way, 422 00:19:15,040 --> 00:19:18,639 Speaker 2: thank you for the kind words, Babe, the way that 423 00:19:18,720 --> 00:19:22,040 Speaker 2: everything was able to show and go through these various 424 00:19:22,040 --> 00:19:26,680 Speaker 2: steps into what Bell Coast was right here. Followed that 425 00:19:26,800 --> 00:19:29,720 Speaker 2: professional work that we did on our own. A lot 426 00:19:29,720 --> 00:19:32,280 Speaker 2: of the market that Bell Coasta started with, a lot 427 00:19:32,320 --> 00:19:34,760 Speaker 2: of the attention we were able to garner happened in 428 00:19:34,840 --> 00:19:36,720 Speaker 2: large ways because of this, and a lot of the 429 00:19:36,760 --> 00:19:39,280 Speaker 2: experience I was able to give to the lab came 430 00:19:39,320 --> 00:19:42,480 Speaker 2: from my experience in other areas of cannabis. And more 431 00:19:42,520 --> 00:19:45,399 Speaker 2: on that later, because that's really kept going. In my 432 00:19:45,480 --> 00:19:48,439 Speaker 2: humble opinion, the next levels of cannabis testing is what 433 00:19:48,640 --> 00:19:52,520 Speaker 2: we're already engaging in in that though we started testing, 434 00:19:52,600 --> 00:19:54,800 Speaker 2: we started getting to know the market. There are certain 435 00:19:54,840 --> 00:19:58,080 Speaker 2: groups who we've been working with virtually the whole time, 436 00:19:58,160 --> 00:20:00,760 Speaker 2: the loud packs and the Jungle b of the world 437 00:20:00,760 --> 00:20:04,640 Speaker 2: and all that fun stuff, and yeah, we just seek 438 00:20:04,720 --> 00:20:07,879 Speaker 2: to do a kick ass job for everybody and ultimately 439 00:20:07,920 --> 00:20:11,639 Speaker 2: what we're doing is reading cannabis, getting data and then 440 00:20:11,760 --> 00:20:15,000 Speaker 2: uploading that data to the state, and so that is, 441 00:20:15,320 --> 00:20:18,280 Speaker 2: you know, easier said than done. Yes, what are you guys? 442 00:20:18,280 --> 00:20:19,200 Speaker 2: What does that inspire? 443 00:20:19,560 --> 00:20:22,399 Speaker 3: Speaking of the state, I always have been curious that 444 00:20:22,760 --> 00:20:26,280 Speaker 3: what segment of the testing industry is regulated. Is it 445 00:20:26,359 --> 00:20:28,320 Speaker 3: kind of pay for play where if somebody has shitty 446 00:20:28,320 --> 00:20:29,719 Speaker 3: product they can kind of slide in. 447 00:20:30,880 --> 00:20:31,760 Speaker 4: How would you speak to that? 448 00:20:31,840 --> 00:20:33,760 Speaker 3: You know, obviously you guys have a higher standard, But 449 00:20:33,800 --> 00:20:35,720 Speaker 3: I just I've heard a lot of grumblings and I'd 450 00:20:35,720 --> 00:20:36,160 Speaker 3: love to hear. 451 00:20:36,119 --> 00:20:38,480 Speaker 1: There's definitely people that are doing lab shopping. 452 00:20:38,160 --> 00:20:41,120 Speaker 2: Right well, just from the thirty thousand foot view, only 453 00:20:41,200 --> 00:20:44,639 Speaker 2: fifty five percent of the cannabis or forty five percent 454 00:20:44,640 --> 00:20:47,560 Speaker 2: of the cannabis goes through the licensed market in California, 455 00:20:47,680 --> 00:20:50,919 Speaker 2: which means the majority of cannabis out there is unregulated. Okay, 456 00:20:51,080 --> 00:20:55,240 Speaker 2: it is weird for us to ever test unregulated anything 457 00:20:55,320 --> 00:20:59,120 Speaker 2: cannabis extracts flower, anything, and for it not to come 458 00:20:59,160 --> 00:21:01,800 Speaker 2: back with a rainbow of pesticides and other contamina. 459 00:21:01,760 --> 00:21:02,320 Speaker 4: Interesting. 460 00:21:02,600 --> 00:21:06,560 Speaker 2: So, more than half of the cannabis sold within California 461 00:21:07,000 --> 00:21:10,080 Speaker 2: can be said to be content at risk for contamination. 462 00:21:10,240 --> 00:21:11,320 Speaker 4: Now I see it. 463 00:21:11,520 --> 00:21:14,920 Speaker 3: It's bad if I go into a recognized dispensary that's 464 00:21:14,920 --> 00:21:17,480 Speaker 3: paying its taxes and has an a rating, et cetera. 465 00:21:17,840 --> 00:21:20,639 Speaker 3: If you blind tested ten different products there, would you 466 00:21:20,680 --> 00:21:21,560 Speaker 3: still experience that. 467 00:21:22,640 --> 00:21:24,520 Speaker 2: What you would tend to see these days is a 468 00:21:24,520 --> 00:21:28,000 Speaker 2: lot of people kind of fibbing about their THHC. There's 469 00:21:28,040 --> 00:21:29,240 Speaker 2: a lot of subpart. 470 00:21:28,960 --> 00:21:31,080 Speaker 1: There's like a ten percent leeway, right. 471 00:21:31,320 --> 00:21:37,280 Speaker 2: That's not what we're talking about here, a good way. 472 00:21:37,840 --> 00:21:41,280 Speaker 2: So that ten percent right there is actually just for labeling. 473 00:21:41,640 --> 00:21:43,560 Speaker 2: You know, not every butt of cannabis is going to 474 00:21:43,560 --> 00:21:46,399 Speaker 2: be the same, not every cartridge that's filled is going 475 00:21:46,440 --> 00:21:48,399 Speaker 2: to be the same. Right, And if you want to 476 00:21:48,440 --> 00:21:51,720 Speaker 2: touch that product, you know, the fewest number of times 477 00:21:51,760 --> 00:21:54,399 Speaker 2: you'll get that label on it and everything, so that 478 00:21:54,520 --> 00:21:56,639 Speaker 2: it's only touched once and then it's ready to go 479 00:21:56,680 --> 00:21:59,679 Speaker 2: out the door. So to speak, right, you need to 480 00:21:59,720 --> 00:22:03,280 Speaker 2: have there's certain precautions that companies will take to make 481 00:22:03,320 --> 00:22:07,000 Speaker 2: sure that the THC is on point. But just for 482 00:22:07,080 --> 00:22:09,679 Speaker 2: their sake, there's a ten percent leeway from the label 483 00:22:10,040 --> 00:22:12,760 Speaker 2: that can exist now in the spirit of what the 484 00:22:12,800 --> 00:22:15,680 Speaker 2: state wants. It's you know, a label, you know, to 485 00:22:15,680 --> 00:22:18,920 Speaker 2: not force the need to relabel for everybody. How people 486 00:22:19,080 --> 00:22:22,560 Speaker 2: use it goes way beyond, as my wife mentioned, way 487 00:22:22,600 --> 00:22:25,879 Speaker 2: beyond ten percent, because if we talked about twenty percent strain, 488 00:22:25,960 --> 00:22:28,000 Speaker 2: that means you could cheat it up to twenty two percent, 489 00:22:28,080 --> 00:22:33,000 Speaker 2: which the way the systems are designed, you could technically. However, 490 00:22:33,920 --> 00:22:36,760 Speaker 2: what people have been doing and we've recently secret shopped 491 00:22:36,800 --> 00:22:39,359 Speaker 2: something that was thirty eight percent on the shelf and 492 00:22:39,400 --> 00:22:42,520 Speaker 2: it came back at our lab at eighteen percent. Wow, 493 00:22:43,119 --> 00:22:46,320 Speaker 2: it means that there's What this means is that there's 494 00:22:46,359 --> 00:22:49,040 Speaker 2: a product out there that subpar that found a lab 495 00:22:49,119 --> 00:22:52,520 Speaker 2: to you know, basically fib for them, and in doing 496 00:22:52,560 --> 00:22:57,080 Speaker 2: this they now have this unfortunate scenario that they've created 497 00:22:57,160 --> 00:23:02,600 Speaker 2: where over two times the actual label value is being 498 00:23:02,640 --> 00:23:04,240 Speaker 2: reflected on the label. 499 00:23:05,200 --> 00:23:08,320 Speaker 1: That's crazy. So do you get those calls a lot 500 00:23:08,320 --> 00:23:10,440 Speaker 1: where people are like, hey, if I bring you my TESK, 501 00:23:10,480 --> 00:23:12,760 Speaker 1: can you guarantee X amount of percentage? 502 00:23:14,640 --> 00:23:17,119 Speaker 6: It's a little different. If they don't see the numbers, 503 00:23:17,200 --> 00:23:19,280 Speaker 6: they like, they just gist us. 504 00:23:22,280 --> 00:23:22,480 Speaker 8: Yeah. 505 00:23:22,600 --> 00:23:25,600 Speaker 5: They don't bother returning the call. They don't bother saying hey, like, 506 00:23:25,680 --> 00:23:28,160 Speaker 5: you know, can you explain. They don't want information, They 507 00:23:28,240 --> 00:23:29,919 Speaker 5: just want the numbers they want, And. 508 00:23:30,560 --> 00:23:31,280 Speaker 6: It's just so. 509 00:23:33,280 --> 00:23:36,639 Speaker 5: Preposterous to me that, you know, nowadays people are telling 510 00:23:36,880 --> 00:23:40,520 Speaker 5: labs the science they want versus the science that exists, right, 511 00:23:40,840 --> 00:23:42,840 Speaker 5: and it's frustrating. 512 00:23:43,200 --> 00:23:45,120 Speaker 3: And if somebody is listening and cares about what they're 513 00:23:45,119 --> 00:23:47,720 Speaker 3: putting in their body. The pesticide thing always freaks me out. 514 00:23:47,800 --> 00:23:50,040 Speaker 4: Right. Is there a specific lab. 515 00:23:49,800 --> 00:23:51,919 Speaker 3: Then that is now being ranked or do you guys 516 00:23:51,920 --> 00:23:54,719 Speaker 3: have a system of ranking so we can say anything 517 00:23:54,760 --> 00:23:56,440 Speaker 3: from your lab at least we can trust, or is 518 00:23:56,480 --> 00:23:57,440 Speaker 3: there certain brands? 519 00:23:57,920 --> 00:23:59,320 Speaker 4: How do we know what's real and what's not? 520 00:23:59,320 --> 00:24:01,560 Speaker 1: Anymore as hard on the label to put the lab 521 00:24:01,600 --> 00:24:02,360 Speaker 1: that it was tested by. 522 00:24:02,600 --> 00:24:05,840 Speaker 2: No, And as a consumer, there's really unless you're just 523 00:24:05,880 --> 00:24:08,480 Speaker 2: doing deep dives, there's no way to know, like there 524 00:24:08,480 --> 00:24:11,000 Speaker 2: really isn't unless you're familiar with a brand and you 525 00:24:11,119 --> 00:24:14,640 Speaker 2: know who they test through. Interesting, there's no real requirement though, 526 00:24:14,720 --> 00:24:17,240 Speaker 2: is you know Frankie put to be able to put 527 00:24:17,320 --> 00:24:20,040 Speaker 2: that on the label. And even more so, you know 528 00:24:20,160 --> 00:24:23,040 Speaker 2: people who are buying the cannabis are just as easily 529 00:24:23,080 --> 00:24:26,040 Speaker 2: fooled as the consumers. So even that you know what 530 00:24:26,080 --> 00:24:28,320 Speaker 2: you think would be just this hard filter that would 531 00:24:28,359 --> 00:24:31,879 Speaker 2: stop something from low quality getting onto a dispensary shelf, 532 00:24:32,560 --> 00:24:35,240 Speaker 2: it doesn't exist. They're subject to the same types of 533 00:24:35,240 --> 00:24:37,480 Speaker 2: FIBs that everybody else is, And all of a sudden 534 00:24:37,920 --> 00:24:41,480 Speaker 2: you have this really kind of overly homogenized outlook on 535 00:24:41,560 --> 00:24:44,239 Speaker 2: cannabis too. You know, there's more chemicals in cannabis than 536 00:24:44,280 --> 00:24:46,639 Speaker 2: just THCHC, right, right, But if you look at the 537 00:24:46,680 --> 00:24:50,600 Speaker 2: average consumer, they're not really inspired by that. And with 538 00:24:50,720 --> 00:24:54,600 Speaker 2: so much competition against the black market, everybody, including subpar 539 00:24:54,720 --> 00:24:58,160 Speaker 2: cannabis brands that you know, may only have mid teens 540 00:24:58,200 --> 00:25:01,560 Speaker 2: to offer, have to find and search this certain type 541 00:25:01,560 --> 00:25:06,159 Speaker 2: of really exploit people's lack of education in cannabis to 542 00:25:06,280 --> 00:25:09,720 Speaker 2: try to show that their product is high quality, when 543 00:25:09,920 --> 00:25:13,000 Speaker 2: on one hand, no it's not, that's not accurate data. 544 00:25:13,040 --> 00:25:16,320 Speaker 2: On the secondhand, we even like in the Royal we 545 00:25:16,560 --> 00:25:19,600 Speaker 2: right as cannabis consumers shouldn't even be looking solely at 546 00:25:19,640 --> 00:25:23,239 Speaker 2: THHC in the first place, indicator of quality that's so 547 00:25:23,320 --> 00:25:24,439 Speaker 2: much better at the scale you. 548 00:25:24,560 --> 00:25:27,480 Speaker 6: Educated, you care about well not not just educated. 549 00:25:27,119 --> 00:25:31,199 Speaker 5: But you care about you know, the full science, the 550 00:25:31,240 --> 00:25:31,800 Speaker 5: full profile. 551 00:25:31,840 --> 00:25:33,320 Speaker 1: I was just going to ask how people are actually 552 00:25:33,320 --> 00:25:36,640 Speaker 1: asking for like turpine, you know, profiles and showing you. 553 00:25:36,600 --> 00:25:39,600 Speaker 5: The different actual I think the demand for education is 554 00:25:39,640 --> 00:25:41,960 Speaker 5: actually really coming from buntenders, which I think. 555 00:25:41,880 --> 00:25:43,960 Speaker 6: Is a beautiful thing. He does a lot of. 556 00:25:43,880 --> 00:25:47,480 Speaker 5: But tender training, and they are so excited for the information. 557 00:25:47,560 --> 00:25:51,040 Speaker 5: They are so excited about the knowledge, and you know, 558 00:25:51,200 --> 00:25:54,000 Speaker 5: I think that the want for the knowledge is out there. 559 00:25:54,240 --> 00:25:56,320 Speaker 1: But I think that's where it kind of gets misconstruted 560 00:25:56,359 --> 00:25:57,960 Speaker 1: a little bit, because folks are just coming up with 561 00:25:58,000 --> 00:26:00,200 Speaker 1: new things like buttenders like to create their own little 562 00:26:00,240 --> 00:26:02,159 Speaker 1: phrase word. And now we've got the you know, the 563 00:26:02,600 --> 00:26:06,479 Speaker 1: high chirping extracts the htes that are out there, But 564 00:26:06,480 --> 00:26:08,719 Speaker 1: that doesn't really tell me how it's extracted other than 565 00:26:08,760 --> 00:26:11,800 Speaker 1: that this particular product is very high in terpenes. But 566 00:26:11,800 --> 00:26:13,840 Speaker 1: does that mean they put fake chirpings in there? You know, 567 00:26:13,920 --> 00:26:15,960 Speaker 1: like where does that process? And so there's definitely a 568 00:26:16,000 --> 00:26:18,200 Speaker 1: lot of confusion, which I also think is from. 569 00:26:20,640 --> 00:26:23,280 Speaker 2: I don't know. 570 00:26:23,880 --> 00:26:26,200 Speaker 6: Threshold that sounds nightmare. 571 00:26:26,440 --> 00:26:29,520 Speaker 2: So there's so much more to cannabis than even cannabinoids 572 00:26:29,520 --> 00:26:33,159 Speaker 2: and terpings. Yeah, there's esther's in there. You ever had 573 00:26:33,200 --> 00:26:36,200 Speaker 2: a strain that was banana flavored banana cush banana o 574 00:26:36,320 --> 00:26:39,680 Speaker 2: G that kind of thing. That chemical right there, isn't 575 00:26:39,720 --> 00:26:43,000 Speaker 2: that makes it banana flavored, isn't detectable by a churping profile, 576 00:26:43,400 --> 00:26:45,480 Speaker 2: So you say, what the hell? Like I thought, terps 577 00:26:45,560 --> 00:26:49,359 Speaker 2: equals flavor, Terps equal part of flavor. That's kind of 578 00:26:49,400 --> 00:26:52,320 Speaker 2: like how chocolate chips equal not the flavor of a 579 00:26:52,359 --> 00:26:55,040 Speaker 2: chocolate chip cookie, but you can kind of taste it 580 00:26:55,080 --> 00:26:57,680 Speaker 2: in there, and you could say the same thing about terps. 581 00:26:57,840 --> 00:27:00,119 Speaker 2: Turps are one of many different chemical groups, Like go 582 00:27:00,160 --> 00:27:04,040 Speaker 2: back to banana, that's an esther huh, slabinoids out there, 583 00:27:04,119 --> 00:27:06,600 Speaker 2: key tones, lack tones, all sorts of different things. You know, 584 00:27:06,680 --> 00:27:08,320 Speaker 2: we can go down, you know, a rabbit hole of 585 00:27:08,359 --> 00:27:11,400 Speaker 2: all these different chemicals that cannabis has in it that 586 00:27:11,520 --> 00:27:14,760 Speaker 2: aren't yet able to be tested. And so it's not 587 00:27:14,960 --> 00:27:19,880 Speaker 2: like we have this perfect indicator of quality between THHC 588 00:27:20,160 --> 00:27:23,400 Speaker 2: or even cannabinoids and terps. Although that's better, way better 589 00:27:23,440 --> 00:27:26,320 Speaker 2: than just THHC, it's going to go so much further 590 00:27:26,359 --> 00:27:28,639 Speaker 2: in the future, And I only like to highlight that 591 00:27:28,760 --> 00:27:31,240 Speaker 2: because we're able to see how much more we're going 592 00:27:31,280 --> 00:27:34,080 Speaker 2: to ultimately be able to encounter. That shows us what 593 00:27:34,200 --> 00:27:36,720 Speaker 2: we level about cannabis. Would you be surprised to know 594 00:27:37,240 --> 00:27:40,040 Speaker 2: that when we're able to test certain chemicals in cannabis, 595 00:27:40,080 --> 00:27:41,160 Speaker 2: you know, the lineman. 596 00:27:40,920 --> 00:27:43,359 Speaker 1: Umies in the alities identify certain effects. 597 00:27:43,440 --> 00:27:46,000 Speaker 2: For sure, that's great for being able to chase the 598 00:27:46,000 --> 00:27:48,560 Speaker 2: lineage of what cannabis is. And if you were actually 599 00:27:48,600 --> 00:27:52,000 Speaker 2: more interested in multiple you know, you know, as multiple 600 00:27:52,080 --> 00:27:55,760 Speaker 2: types of cannabis, multiple profiles, you'd be able to chase 601 00:27:55,800 --> 00:27:56,960 Speaker 2: down these terps as they go. 602 00:27:57,280 --> 00:27:58,440 Speaker 4: You know, you guys were talking. 603 00:27:58,240 --> 00:28:02,480 Speaker 3: About education, and in California, obviously we've been recreational legal 604 00:28:02,520 --> 00:28:04,160 Speaker 3: and I think we've been more liberal when it comes 605 00:28:04,200 --> 00:28:04,359 Speaker 3: to that. 606 00:28:04,400 --> 00:28:06,440 Speaker 4: But when we come back I want to hear what we. 607 00:28:06,320 --> 00:28:08,480 Speaker 3: Were talking about earlier, what your opinion is on what's 608 00:28:08,520 --> 00:28:10,560 Speaker 3: going on in New York and the pattern or you 609 00:28:10,600 --> 00:28:12,640 Speaker 3: know where we follow, are they following the same mistakes 610 00:28:12,640 --> 00:28:12,920 Speaker 3: we did? 611 00:28:13,080 --> 00:28:15,199 Speaker 4: So that will be right back here on Cannabis Talk 612 00:28:15,240 --> 00:28:16,480 Speaker 4: one on one. 613 00:28:16,280 --> 00:28:19,240 Speaker 7: Final Cannabis Talk one on one on all social media 614 00:28:19,280 --> 00:28:22,439 Speaker 7: and Cannabis Talk one oh one. Subscribe to our weekly 615 00:28:22,480 --> 00:28:36,480 Speaker 7: newsletter on our website, Cannabis Talk one o one dot com. 616 00:28:36,680 --> 00:28:40,200 Speaker 8: Cannabis Talk one oh one with Blue and Joe Grunde, 617 00:28:40,440 --> 00:28:43,960 Speaker 8: the world's number one source for everything cannabis. 618 00:28:44,040 --> 00:28:46,600 Speaker 3: You guys turned the typical into something special. When it 619 00:28:46,600 --> 00:28:48,960 Speaker 3: comes to infused products, the flavor you taste should be 620 00:28:49,080 --> 00:28:51,640 Speaker 3: just as enjoyable as the feeling you experience. But is 621 00:28:51,680 --> 00:28:55,360 Speaker 3: it the website at www dot lorentoils dot com. We're 622 00:28:55,400 --> 00:28:57,760 Speaker 3: back here with Nate and Claudia. The question that I 623 00:28:57,800 --> 00:28:59,720 Speaker 3: wanted to ask you guys, because this is always on 624 00:28:59,720 --> 00:29:01,800 Speaker 3: my mind and when I see mistakes happen when they're 625 00:29:01,800 --> 00:29:04,080 Speaker 3: in the financial world and at cannabis world, it seems 626 00:29:04,120 --> 00:29:07,320 Speaker 3: there's always parallels when you look at New York and 627 00:29:07,400 --> 00:29:10,680 Speaker 3: obviously they're now coming around to having recreational and medical 628 00:29:10,760 --> 00:29:13,920 Speaker 3: turn into recreational, and we see the expansion, We know 629 00:29:14,040 --> 00:29:16,560 Speaker 3: the issues that California has been having in the legal market. 630 00:29:17,000 --> 00:29:19,960 Speaker 3: You guys had some really interesting viewpoints on how that's 631 00:29:19,960 --> 00:29:20,480 Speaker 3: coming out. 632 00:29:20,440 --> 00:29:22,880 Speaker 4: Over there in part two of that the education. 633 00:29:23,040 --> 00:29:25,320 Speaker 3: Do you guys think that over there, because it's newer, 634 00:29:25,360 --> 00:29:27,000 Speaker 3: they're going to have this education. 635 00:29:26,800 --> 00:29:29,560 Speaker 4: Kind of life cycle and learning curve as well. I'll 636 00:29:29,560 --> 00:29:30,600 Speaker 4: open it up to you first. 637 00:29:31,600 --> 00:29:39,280 Speaker 6: Personally, I don't think so. I think the potency message is. 638 00:29:39,280 --> 00:29:43,480 Speaker 5: Extremely loud, unfortunately, and it's still a loud. It's reached 639 00:29:43,520 --> 00:29:46,240 Speaker 5: the East coast and I think they are starting to 640 00:29:46,240 --> 00:29:50,120 Speaker 5: focus on those kind of things as well. 641 00:29:50,240 --> 00:29:52,760 Speaker 6: And you know, we met people at mg biscons and it's. 642 00:29:52,600 --> 00:29:54,239 Speaker 1: So crazy because you don't even see a normal pre 643 00:29:54,280 --> 00:29:55,720 Speaker 1: role anymore. Now all the pre roles is going to 644 00:29:55,760 --> 00:29:57,200 Speaker 1: have all this stuff. 645 00:29:56,960 --> 00:29:58,040 Speaker 4: On it more potent. 646 00:29:58,360 --> 00:30:01,160 Speaker 5: Yeah, totally. And yeah, we we were at MJ Biscon. 647 00:30:01,320 --> 00:30:02,800 Speaker 5: We met a few people from the East Coast and 648 00:30:02,800 --> 00:30:04,000 Speaker 5: they're like, right, so tell us what do we do 649 00:30:04,000 --> 00:30:07,760 Speaker 5: about our posts? And we're just like no, no, no, wrong, 650 00:30:07,840 --> 00:30:12,640 Speaker 5: question wrong, tell everybody they're doing it wrong. So I 651 00:30:12,680 --> 00:30:15,160 Speaker 5: do see that trend starting to happen. And you know, 652 00:30:15,400 --> 00:30:18,560 Speaker 5: if California could scream anything to New York and say, hey, 653 00:30:18,720 --> 00:30:20,600 Speaker 5: like that's how you shoot yourself in the foot, you know, 654 00:30:20,600 --> 00:30:22,440 Speaker 5: in terms of the industry. 655 00:30:22,040 --> 00:30:27,080 Speaker 4: Louder, I don't think they're listening. Yeah literally, Yeah. 656 00:30:28,000 --> 00:30:29,480 Speaker 1: Well that and I feel like New York is just 657 00:30:29,520 --> 00:30:31,760 Speaker 1: in competition with New Jersey. 658 00:30:32,160 --> 00:30:42,640 Speaker 9: Can get there, got to bash Jersey, it's thing. 659 00:30:44,320 --> 00:30:46,719 Speaker 6: So yeah, I do see them falling in that trend. 660 00:30:47,560 --> 00:30:52,800 Speaker 5: If I remember correctly, their lab requirements still have a 661 00:30:52,800 --> 00:30:56,560 Speaker 5: long way to go as well. And then I think, uh, 662 00:30:56,720 --> 00:30:58,920 Speaker 5: you know, with the most recent that big main dispensary 663 00:30:58,920 --> 00:31:01,720 Speaker 5: that just got shut down. I think they're still dealing 664 00:31:01,760 --> 00:31:03,640 Speaker 5: with a lot of the illicit market. 665 00:31:04,320 --> 00:31:05,520 Speaker 1: Happy Mokey or something like that. 666 00:31:06,160 --> 00:31:07,680 Speaker 6: I forgot the name. You know. 667 00:31:07,760 --> 00:31:10,040 Speaker 5: It's there's so many been a couple, so many names 668 00:31:10,040 --> 00:31:12,280 Speaker 5: in the cannabis industry right now that are just either 669 00:31:12,320 --> 00:31:14,080 Speaker 5: being sued or on the views. 670 00:31:14,200 --> 00:31:15,320 Speaker 6: It's just it's hard to keep tracking. 671 00:31:15,480 --> 00:31:18,320 Speaker 1: Yeah, yeah, definitely, there's definitely the real drama behind the 672 00:31:18,360 --> 00:31:19,480 Speaker 1: scenes in the space. 673 00:31:19,760 --> 00:31:20,120 Speaker 4: Yeah. 674 00:31:20,200 --> 00:31:23,240 Speaker 6: Yeah, it's like it's on soap opera. No, I love it. 675 00:31:23,520 --> 00:31:26,800 Speaker 2: So I can't highlight enough how there are so many 676 00:31:26,800 --> 00:31:30,480 Speaker 2: different awesome types of cannabis. You ever heard of pheno hunting? Yeah, yeah, 677 00:31:30,520 --> 00:31:33,400 Speaker 2: of course, Right, what's the opposite of pheno hunting? Here, 678 00:31:33,760 --> 00:31:35,840 Speaker 2: don't answer, I got it for you. The opposite of 679 00:31:35,840 --> 00:31:39,440 Speaker 2: pheno hunting is buying for high THHC. Because only one 680 00:31:39,520 --> 00:31:42,080 Speaker 2: type of cannabis is you know, really maybe a couple 681 00:31:42,080 --> 00:31:44,520 Speaker 2: of types at best, out of how many dozens of 682 00:31:44,560 --> 00:31:48,440 Speaker 2: potential chemical profiles, there's only certain types that are high 683 00:31:48,480 --> 00:31:51,520 Speaker 2: in THHC. And so this is where things start to 684 00:31:51,560 --> 00:31:54,280 Speaker 2: go wrong. Ten years ago or so, you could walk 685 00:31:54,280 --> 00:31:57,400 Speaker 2: into a dispensary and everything on the shelf was og. 686 00:31:58,040 --> 00:31:58,160 Speaker 5: Like. 687 00:31:58,240 --> 00:32:01,840 Speaker 2: I even remember where there were dispensaries that literally sold 688 00:32:01,880 --> 00:32:04,760 Speaker 2: the same og under ten different names, and all ten 689 00:32:04,800 --> 00:32:07,360 Speaker 2: of those names were Avengers characters, right, you know what 690 00:32:07,360 --> 00:32:10,200 Speaker 2: I mean? Like you're not even trying any more kind 691 00:32:10,240 --> 00:32:14,120 Speaker 2: of thing, so like either just literally playing into this 692 00:32:14,240 --> 00:32:18,160 Speaker 2: game that really is just absolutely awful for the consumer 693 00:32:18,520 --> 00:32:20,880 Speaker 2: because if you were to go out there and you bought, 694 00:32:20,920 --> 00:32:23,760 Speaker 2: so to speak, a full bar worth of cannabis, then 695 00:32:23,800 --> 00:32:25,520 Speaker 2: what would you be left with And what would be 696 00:32:25,600 --> 00:32:28,480 Speaker 2: really interesting is you'd have, in my opinion, a way 697 00:32:28,560 --> 00:32:34,360 Speaker 2: more a way more robust experience because different chemical profiles 698 00:32:34,760 --> 00:32:37,360 Speaker 2: equal being able to enjoy a lot of different things. 699 00:32:37,400 --> 00:32:39,800 Speaker 2: That means you won't smoke as much as quickly. It's 700 00:32:39,880 --> 00:32:41,920 Speaker 2: kind of like when you're satisfied with food or with 701 00:32:42,040 --> 00:32:45,480 Speaker 2: a spirit of sorts, you end up drinking less or 702 00:32:45,480 --> 00:32:49,720 Speaker 2: eating less when you're satisfied more from less. Right, Cannabis 703 00:32:49,720 --> 00:32:51,800 Speaker 2: works that way if you don't smoke the same effing 704 00:32:51,840 --> 00:32:55,200 Speaker 2: thing over and over and over, hence og over and over, 705 00:32:55,280 --> 00:32:57,720 Speaker 2: which I can tell you from the labs point of view, 706 00:32:58,080 --> 00:33:00,600 Speaker 2: nine out of every ten things we test the exact 707 00:33:00,600 --> 00:33:04,640 Speaker 2: same chemical profile. That's terrible. Because that means that this 708 00:33:04,800 --> 00:33:08,320 Speaker 2: diversity that I can't ask for hard enough to be 709 00:33:08,360 --> 00:33:13,080 Speaker 2: coming from the growers, through the buyers, through the dispensaries, 710 00:33:13,400 --> 00:33:16,120 Speaker 2: that's starting to not exist. And when we talk to 711 00:33:16,720 --> 00:33:18,880 Speaker 2: or when we talk about in a sense New York 712 00:33:19,560 --> 00:33:21,840 Speaker 2: and where I was speaking to them, I would say, 713 00:33:22,000 --> 00:33:25,600 Speaker 2: please improve the diversity. We can all agree that diversity 714 00:33:25,600 --> 00:33:30,440 Speaker 2: of food, diversity of anything enjoyable is awesome, both for 715 00:33:30,520 --> 00:33:34,160 Speaker 2: people who enjoy that industry as well as for that industry. 716 00:33:34,400 --> 00:33:37,080 Speaker 2: And here we are losing out on some of remember 717 00:33:37,120 --> 00:33:40,560 Speaker 2: final hunting, We're losing out on some of the most 718 00:33:40,640 --> 00:33:45,160 Speaker 2: awesome inbuilt things, the diversity of cannabis. And instead we're 719 00:33:45,200 --> 00:33:48,320 Speaker 2: all just growing and buying for a single chemical profile. 720 00:33:48,720 --> 00:33:53,280 Speaker 2: What the why? And that's a mistake that makes the 721 00:33:53,320 --> 00:33:56,360 Speaker 2: amount that you sell go down. That makes everybody compete 722 00:33:56,360 --> 00:33:59,760 Speaker 2: by selling the same thing that drives down the diversity 723 00:33:59,760 --> 00:34:00,480 Speaker 2: for the consumer. 724 00:34:00,520 --> 00:34:02,800 Speaker 1: That's like saying all alcohol it tastes the same because 725 00:34:02,800 --> 00:34:03,800 Speaker 1: of the alcohol. 726 00:34:04,880 --> 00:34:07,720 Speaker 2: That's like saying all alcohol should be ever clear? Yeah, right, 727 00:34:07,800 --> 00:34:09,600 Speaker 2: Like straight up, why don't we all drink ever Clear? 728 00:34:09,640 --> 00:34:09,879 Speaker 4: Guys? 729 00:34:09,920 --> 00:34:11,439 Speaker 2: You want guys want to go out for a round 730 00:34:11,440 --> 00:34:15,120 Speaker 2: of Everclear? Like no, absolutely not. I don't want a headache. 731 00:34:15,200 --> 00:34:18,240 Speaker 2: I don't want a bad experience. But when you smoke 732 00:34:18,400 --> 00:34:21,560 Speaker 2: high THHC low chirp weed, that's actually what you're getting. 733 00:34:21,880 --> 00:34:26,080 Speaker 2: So now we have this tomfoolery of people, you know, 734 00:34:26,280 --> 00:34:31,040 Speaker 2: lying on this quality indicator that's not even a good indicator, 735 00:34:31,280 --> 00:34:33,520 Speaker 2: and as a result, we've lost so many strains. You guys, 736 00:34:33,520 --> 00:34:35,879 Speaker 2: remember Bubba cush. Wouldn't you like some Bubba cush? 737 00:34:35,960 --> 00:34:36,319 Speaker 1: Right now? 738 00:34:36,840 --> 00:34:38,920 Speaker 2: This is about the closest I can find. But you know, 739 00:34:39,000 --> 00:34:39,600 Speaker 2: let's do it. 740 00:34:39,760 --> 00:34:40,959 Speaker 4: That's what I love about it, guys. 741 00:34:41,000 --> 00:34:43,080 Speaker 3: You guys are leading from education, and I think right 742 00:34:43,120 --> 00:34:45,680 Speaker 3: now that's what this space is missing, and actually, quite frankly, 743 00:34:45,719 --> 00:34:47,680 Speaker 3: a lot of spaces that are kind of hitting a 744 00:34:48,040 --> 00:34:50,960 Speaker 3: plateau or stagnation, whether it's in the financial markets, the 745 00:34:51,120 --> 00:34:54,319 Speaker 3: consumer education market. But for you guys, you don't see 746 00:34:54,400 --> 00:34:56,359 Speaker 3: enough of that in my opinion, where everybody's just more 747 00:34:56,360 --> 00:34:59,120 Speaker 3: focused on top line gross sales instead of educating the 748 00:34:59,120 --> 00:35:01,560 Speaker 3: market and then watching the success that comes with it. 749 00:35:01,800 --> 00:35:04,000 Speaker 3: With that, we're going to lead into the high five. Now, 750 00:35:04,000 --> 00:35:05,560 Speaker 3: this is a segment that they do on this show 751 00:35:05,600 --> 00:35:07,680 Speaker 3: every time. I've been involved with this as well, So 752 00:35:07,680 --> 00:35:09,880 Speaker 3: We're gonna ask you five questions. Just hammer out the 753 00:35:09,920 --> 00:35:13,080 Speaker 3: questions that answers real quick. We'll start with you, Claudia. 754 00:35:13,080 --> 00:35:14,759 Speaker 3: How old were you the first time you smoked weed? 755 00:35:14,800 --> 00:35:15,759 Speaker 3: And where did you get it from? 756 00:35:16,560 --> 00:35:22,359 Speaker 5: No, we talked about this. I was about fourteen. Mind, 757 00:35:22,400 --> 00:35:24,799 Speaker 5: I didn't really start smoking consistently. T was by egeen 758 00:35:24,880 --> 00:35:26,640 Speaker 5: or nineteen. But the first time I tried I was fourteen. 759 00:35:28,040 --> 00:35:32,160 Speaker 5: My sister was in college and she had come home 760 00:35:32,160 --> 00:35:35,359 Speaker 5: for the weekend and my brother goes through her bag 761 00:35:35,400 --> 00:35:37,480 Speaker 5: and he's like, hey, look I found you know, I 762 00:35:37,560 --> 00:35:40,080 Speaker 5: found her weed and it's like you want to smoke it? 763 00:35:40,120 --> 00:35:42,600 Speaker 5: And I was like, okay, So what did we do? 764 00:35:42,680 --> 00:35:45,280 Speaker 5: I think we like either he's an apple or something 765 00:35:45,320 --> 00:35:47,760 Speaker 5: like that. So yeah, that was we stile my sister's 766 00:35:47,760 --> 00:35:48,239 Speaker 5: college weed. 767 00:35:48,719 --> 00:35:55,440 Speaker 3: Nate probably invented his own marijuana. 768 00:35:50,560 --> 00:35:58,160 Speaker 2: And no, my way are we going? Uh yeah, okay, yeah? Perfect? Concurrently, 769 00:35:58,239 --> 00:36:02,799 Speaker 2: I guess so so with my first time, I was 770 00:36:03,520 --> 00:36:06,239 Speaker 2: kidnapped by a friend. He just came by my house 771 00:36:06,320 --> 00:36:08,960 Speaker 2: late at night. I was sixteen, and he's like, come 772 00:36:09,000 --> 00:36:12,319 Speaker 2: on down to you know. His mom had a big 773 00:36:12,360 --> 00:36:15,800 Speaker 2: warehouse for her business and she wasn't using the whole warehouse. 774 00:36:15,800 --> 00:36:18,360 Speaker 2: There's maybe like a ten by ten area where she 775 00:36:18,480 --> 00:36:21,680 Speaker 2: let her son, my friend, set up like his little 776 00:36:21,760 --> 00:36:24,680 Speaker 2: music area, and so him and his buddies would have 777 00:36:24,760 --> 00:36:27,799 Speaker 2: band practice in this commercial district and a warehouse and 778 00:36:27,840 --> 00:36:30,799 Speaker 2: not bother anybody. So good for them, right right, And 779 00:36:30,880 --> 00:36:34,600 Speaker 2: so they kidnapped me, you know, consentually one night, and 780 00:36:35,000 --> 00:36:37,560 Speaker 2: here I am with them, and they bust out this 781 00:36:37,600 --> 00:36:40,799 Speaker 2: clay pipe that one of them had made that resembles 782 00:36:40,880 --> 00:36:43,239 Speaker 2: absolutely nothing that you would want to smoke out of, 783 00:36:44,000 --> 00:36:48,080 Speaker 2: and we proceed to just smoke and smoke, and then 784 00:36:48,200 --> 00:36:51,840 Speaker 2: him and his bassis go and jam and I'm standing 785 00:36:51,960 --> 00:36:54,400 Speaker 2: in front of this tall stack of speakers, way taller 786 00:36:54,440 --> 00:36:56,399 Speaker 2: than me because I don't know where they got it from, 787 00:36:56,440 --> 00:37:00,520 Speaker 2: but they're awesome equipment, and I'm just getting audio waves 788 00:37:00,600 --> 00:37:04,000 Speaker 2: rolling through me and full blown audio hallucinations. And it 789 00:37:04,080 --> 00:37:09,000 Speaker 2: was the coolest ship in the world that. 790 00:37:10,840 --> 00:37:11,960 Speaker 6: Was low weed to. 791 00:37:13,800 --> 00:37:16,319 Speaker 2: Yeah, you know, that's that's the advertisement. 792 00:37:16,880 --> 00:37:18,800 Speaker 4: We So, Claudia, what's go ahead? 793 00:37:18,880 --> 00:37:21,680 Speaker 1: Yeah, question number two of the High five with Claudia Nate. 794 00:37:21,680 --> 00:37:24,800 Speaker 1: When you're here from Balacuista Labs, what is your favorite 795 00:37:24,800 --> 00:37:26,359 Speaker 1: way to use cannabis? 796 00:37:27,520 --> 00:37:28,440 Speaker 6: I like pre rolls. 797 00:37:28,680 --> 00:37:31,880 Speaker 5: It just click gets the point and you know, I 798 00:37:31,880 --> 00:37:32,960 Speaker 5: can be multifunctional. 799 00:37:34,080 --> 00:37:37,360 Speaker 1: So you do like the low thh weed it depends. 800 00:37:37,440 --> 00:37:38,279 Speaker 6: I like giggle weed. 801 00:37:38,440 --> 00:37:43,279 Speaker 5: I feel like gig doesn't exist. 802 00:37:42,080 --> 00:37:44,000 Speaker 6: Because it's probably low in THHC. 803 00:37:44,239 --> 00:37:51,200 Speaker 5: That's why nobody's laughing. I feel like I don't giggle anymore. 804 00:37:51,520 --> 00:37:54,920 Speaker 5: Like I mean, I'll have Durban poison is good, but 805 00:37:55,040 --> 00:37:56,640 Speaker 5: it's more of the artsy one, like if you want 806 00:37:56,640 --> 00:37:59,680 Speaker 5: to send a drop picture, you know that's it's great. 807 00:37:59,719 --> 00:38:02,080 Speaker 6: I love driven poison because it's so focused on you. 808 00:38:02,080 --> 00:38:04,359 Speaker 6: You're kind of having fun, which I feel like weed 809 00:38:04,520 --> 00:38:05,600 Speaker 6: isn't fun. 810 00:38:05,400 --> 00:38:09,279 Speaker 4: Like smoke and watching funny movies. Let's just speak out 811 00:38:09,280 --> 00:38:10,800 Speaker 4: on nine hours of Netflix. 812 00:38:11,120 --> 00:38:12,719 Speaker 5: Now, it's just like yeah right, it's just like let's 813 00:38:12,719 --> 00:38:15,120 Speaker 5: get blitzed and just stare at the wall and it's like, 814 00:38:15,200 --> 00:38:16,160 Speaker 5: oh I miss jokes. 815 00:38:16,640 --> 00:38:18,600 Speaker 1: Three months ago, I had some flower and I can't 816 00:38:18,600 --> 00:38:20,360 Speaker 1: even remember now who gave it to me, but I 817 00:38:20,520 --> 00:38:22,080 Speaker 1: went home and I smoked it and I was so 818 00:38:22,120 --> 00:38:24,120 Speaker 1: giggly and I was like, oh my god, this is 819 00:38:25,400 --> 00:38:26,120 Speaker 1: a long time. 820 00:38:27,120 --> 00:38:27,400 Speaker 6: I know. 821 00:38:27,560 --> 00:38:29,960 Speaker 5: My favorite was green crack, and you know it's not 822 00:38:30,040 --> 00:38:32,200 Speaker 5: on a very rare occasion he would find a really 823 00:38:32,239 --> 00:38:34,400 Speaker 5: good green crack and I'd be like, yeah, the giggles, 824 00:38:34,880 --> 00:38:37,080 Speaker 5: So yeah, that's and you, mister Nate. 825 00:38:37,160 --> 00:38:39,359 Speaker 1: Question number two of the high five, what is your 826 00:38:39,360 --> 00:38:41,600 Speaker 1: favorite way to use cannabis? 827 00:38:41,600 --> 00:38:44,279 Speaker 2: Pre rolls and dabs? So you get a lot of 828 00:38:44,280 --> 00:38:48,040 Speaker 2: flavor with dabs. You know, you're just blessed the especially 829 00:38:48,080 --> 00:38:50,440 Speaker 2: the live ros in industry and some live resident that 830 00:38:50,960 --> 00:38:54,239 Speaker 2: don't give a hoot about th HC numbers put a 831 00:38:54,239 --> 00:38:58,280 Speaker 2: smile and end up getting and so for like live rosins, 832 00:38:58,320 --> 00:39:01,359 Speaker 2: how many more flavor options you end up having? You 833 00:39:01,400 --> 00:39:04,200 Speaker 2: have all the flavor options under the sun because nobody 834 00:39:04,200 --> 00:39:06,960 Speaker 2: cares about high THHC. It's so beautiful. 835 00:39:06,960 --> 00:39:07,560 Speaker 4: But what's great? 836 00:39:07,600 --> 00:39:09,120 Speaker 2: I can't I can't speak to that nothing. 837 00:39:09,120 --> 00:39:10,879 Speaker 1: But it's crazy because that takes the education too. 838 00:39:11,040 --> 00:39:11,200 Speaker 2: You know. 839 00:39:11,200 --> 00:39:13,279 Speaker 1: I remember when I first started using my electric dab 840 00:39:13,280 --> 00:39:15,279 Speaker 1: brig and you get the temperature so high because you 841 00:39:15,280 --> 00:39:16,480 Speaker 1: want to get a bigger here, but then you don't 842 00:39:16,520 --> 00:39:18,480 Speaker 1: get to taste the flavors, right, so now I hover 843 00:39:18,640 --> 00:39:20,600 Speaker 1: right around like four sixty. 844 00:39:21,400 --> 00:39:24,520 Speaker 2: No, it's just another culinary experience. Because you could say 845 00:39:24,520 --> 00:39:27,200 Speaker 2: the same thing about, you know, browning your butter at home. Yeah, 846 00:39:27,239 --> 00:39:30,040 Speaker 2: you don't get that shit too hot. So, yeah, you've 847 00:39:30,080 --> 00:39:33,000 Speaker 2: got the idea that you have these Volda compounds, and 848 00:39:33,040 --> 00:39:36,400 Speaker 2: these Volda compounds add all of this flavor and experience 849 00:39:36,480 --> 00:39:38,120 Speaker 2: to what you've got in front of you, because we 850 00:39:38,160 --> 00:39:41,759 Speaker 2: all know that cannabis is very, very experiential, right yep. 851 00:39:42,000 --> 00:39:45,399 Speaker 2: So these The more that you tune the device so 852 00:39:45,440 --> 00:39:48,320 Speaker 2: that you can taste these different flavors, the more diversity 853 00:39:48,320 --> 00:39:51,080 Speaker 2: and richness you get from the experience. I'll wager you 854 00:39:51,080 --> 00:39:53,440 Speaker 2: don't even need to get as high because you need 855 00:39:53,480 --> 00:39:55,879 Speaker 2: to smoke as much, because you're getting so much more 856 00:39:55,920 --> 00:39:58,280 Speaker 2: out of it. The idea of a head change doesn't 857 00:39:58,320 --> 00:40:01,560 Speaker 2: need to be this smack of the the smoky version 858 00:40:01,600 --> 00:40:03,440 Speaker 2: of smacking your head against the table, you know what 859 00:40:03,480 --> 00:40:05,239 Speaker 2: I mean? Right, You can enjoy the shit out of 860 00:40:05,280 --> 00:40:07,640 Speaker 2: weed with people you like, and it's not a race 861 00:40:07,680 --> 00:40:08,920 Speaker 2: to fall asleep the fastest. 862 00:40:09,160 --> 00:40:13,160 Speaker 1: Yeah, I agree, And can you tell our viewers what 863 00:40:13,200 --> 00:40:15,040 Speaker 1: do you think is a cleaner way to smoke? Is 864 00:40:15,040 --> 00:40:16,840 Speaker 1: it dabbing or is it smoking flower? 865 00:40:17,560 --> 00:40:20,120 Speaker 2: That's a really really good question, bro so. 866 00:40:21,440 --> 00:40:25,600 Speaker 4: Connor coming with them shots, So let me. 867 00:40:25,560 --> 00:40:29,080 Speaker 2: Go for the nerdy answer here. I think that ultimately speaking, 868 00:40:29,400 --> 00:40:33,400 Speaker 2: you're going to have a lot more enjoyability doing dabs. 869 00:40:33,440 --> 00:40:35,400 Speaker 2: And it's not to say that you can't get the 870 00:40:35,440 --> 00:40:38,080 Speaker 2: same in flower. It's to say, as a consumer, you 871 00:40:38,120 --> 00:40:41,160 Speaker 2: almost don't have the option to do that. You don't 872 00:40:41,160 --> 00:40:45,200 Speaker 2: have a dozen different types, different chemical types of good 873 00:40:45,280 --> 00:40:48,120 Speaker 2: flower in front of you that you can smoke when 874 00:40:48,120 --> 00:40:51,839 Speaker 2: they're all fresh, maybe one, maybe two at a time, 875 00:40:52,120 --> 00:40:54,720 Speaker 2: But you don't really get the opportunity to go through 876 00:40:54,760 --> 00:40:58,400 Speaker 2: and actually enjoy this diversity as a consumer with flower, 877 00:40:58,719 --> 00:41:01,439 Speaker 2: even worse with pre role. Such a good question, brother, 878 00:41:02,120 --> 00:41:05,239 Speaker 2: even words with pre roles, because pre rolls, as soon 879 00:41:05,239 --> 00:41:07,840 Speaker 2: as you break them down you know, into the shape, 880 00:41:08,000 --> 00:41:10,279 Speaker 2: you know, into their ground form that you need to 881 00:41:10,320 --> 00:41:13,400 Speaker 2: be able to smoke them in, they start oxidizing. They 882 00:41:13,440 --> 00:41:16,840 Speaker 2: start breaking down really quick. It's crazy when we study 883 00:41:16,880 --> 00:41:19,440 Speaker 2: pre rolls that are even six months old, and you 884 00:41:19,480 --> 00:41:22,600 Speaker 2: know how THHC as it breaks down, it can decarboxylate. 885 00:41:23,160 --> 00:41:26,320 Speaker 2: About half of the cannabis in the joint is decarboxylated. 886 00:41:26,560 --> 00:41:29,239 Speaker 2: If even if it hadn't been broken down in flower form, 887 00:41:29,239 --> 00:41:31,200 Speaker 2: I mean it wouldn't be great, but it wouldn't have 888 00:41:31,239 --> 00:41:34,960 Speaker 2: been half activated into THHC. It's just a good idea. 889 00:41:35,120 --> 00:41:37,719 Speaker 4: Thisbelated me decarboxylated. 890 00:41:38,040 --> 00:41:39,640 Speaker 2: That's another tangle. Let me finish this. 891 00:41:41,120 --> 00:41:43,120 Speaker 6: You'll be surprised. It's the simplest thing in the world. 892 00:41:43,440 --> 00:41:46,400 Speaker 2: So what you end up getting, and to answer the 893 00:41:46,760 --> 00:41:49,640 Speaker 2: second part of the gentleman's question, or in the second 894 00:41:49,640 --> 00:41:53,799 Speaker 2: part of this answer, what we've got is the opportunity 895 00:41:53,800 --> 00:41:56,640 Speaker 2: with dabs to have things that have been well preserved 896 00:41:56,960 --> 00:41:59,200 Speaker 2: once you make an extraction. Depending on the form, but 897 00:41:59,239 --> 00:42:01,399 Speaker 2: for the most part, if you have in the right 898 00:42:01,480 --> 00:42:06,200 Speaker 2: temperature preservation and light preservation conditions as low temperature for 899 00:42:06,239 --> 00:42:09,200 Speaker 2: the most part as possible and as little light as possible, 900 00:42:09,239 --> 00:42:12,640 Speaker 2: you're going to see a minimal, minimal amount of breakdown. Hence, 901 00:42:12,680 --> 00:42:16,160 Speaker 2: you have access to a fresh, pure version of cannabis 902 00:42:16,160 --> 00:42:18,680 Speaker 2: where you can have your smorgas board and you can 903 00:42:18,840 --> 00:42:21,240 Speaker 2: enjoy all of these different variations of candable. 904 00:42:21,239 --> 00:42:23,160 Speaker 1: Which is why you keep your concentrates in the cooler. 905 00:42:23,320 --> 00:42:25,960 Speaker 2: It's just why you keep your concentration. The more you know, 906 00:42:27,120 --> 00:42:30,280 Speaker 2: so this is this is the answer, and that's why, 907 00:42:30,360 --> 00:42:34,040 Speaker 2: and that's you know, if anything, that's the benefit of concentrates, 908 00:42:34,080 --> 00:42:37,720 Speaker 2: it's not that it's better than flour. It's just better. Well, 909 00:42:38,080 --> 00:42:40,160 Speaker 2: let me put it this way. If you bought some 910 00:42:40,320 --> 00:42:43,640 Speaker 2: concentrate and you put it in your fridge for a year, 911 00:42:44,200 --> 00:42:46,239 Speaker 2: and you came back to it after your odds are 912 00:42:46,400 --> 00:42:48,319 Speaker 2: if you had not opened it, that it'd be about 913 00:42:48,360 --> 00:42:51,400 Speaker 2: the same product. If you bought a vanilla bean for 914 00:42:51,520 --> 00:42:54,239 Speaker 2: about and you put it in a refrigerator and would 915 00:42:54,280 --> 00:42:56,840 Speaker 2: just imagine this a year later, that vanilla bean is 916 00:42:56,840 --> 00:42:59,319 Speaker 2: going to be pretty desiccated. It's not the same vanilla bean. 917 00:42:59,600 --> 00:43:01,360 Speaker 2: But you know what you have at home. If you 918 00:43:01,400 --> 00:43:05,080 Speaker 2: had never cannabis, you'd still have vanilla extract. Guess how 919 00:43:05,080 --> 00:43:08,600 Speaker 2: many years that vanilla extract will last still in the vanilla. 920 00:43:09,120 --> 00:43:11,759 Speaker 2: So what do you have here? The extracted form is 921 00:43:11,800 --> 00:43:14,839 Speaker 2: capable of lasting a lot longer and imparting those same 922 00:43:14,880 --> 00:43:17,880 Speaker 2: flavors for the experience that you're looking for. So I 923 00:43:18,280 --> 00:43:21,759 Speaker 2: couldn't We went nerdy, So I couldn't put the love 924 00:43:21,800 --> 00:43:24,080 Speaker 2: of cannabis into into a tighter way of putting it. 925 00:43:24,440 --> 00:43:25,400 Speaker 1: No, I love the answer. 926 00:43:25,600 --> 00:43:27,799 Speaker 4: You know this one. Our question number four is usual. 927 00:43:27,880 --> 00:43:30,640 Speaker 1: Question number three question didn't. 928 00:43:32,440 --> 00:43:37,920 Speaker 2: Decarboxylation. Okay, so decarboxylation. If you ever want to repeat this, 929 00:43:38,040 --> 00:43:40,560 Speaker 2: you know, mini lecture called decarbon Everyone will know what 930 00:43:40,600 --> 00:43:44,000 Speaker 2: you mean. So cannabis on the plant for the most part, 931 00:43:44,239 --> 00:43:46,439 Speaker 2: you know, when you have a nug of cannabis right 932 00:43:47,000 --> 00:43:49,480 Speaker 2: or when it's in the joint but not yet smoked, 933 00:43:49,800 --> 00:43:53,160 Speaker 2: it's a form of cannabis or THHC rather called THHC 934 00:43:53,320 --> 00:43:57,600 Speaker 2: A THHC A or is the main cannabinoid. But there's 935 00:43:57,680 --> 00:44:01,120 Speaker 2: others out there, a form. It's in the thank you, 936 00:44:01,239 --> 00:44:03,680 Speaker 2: thank you, right from my from my books, man, I 937 00:44:03,719 --> 00:44:08,120 Speaker 2: appreciate it. And in the I taught this man everything, 938 00:44:08,160 --> 00:44:08,440 Speaker 2: you know. 939 00:44:09,200 --> 00:44:11,640 Speaker 4: So he was excited. You guys are coming into that 940 00:44:12,640 --> 00:44:13,520 Speaker 4: speaking his language. 941 00:44:13,560 --> 00:44:15,600 Speaker 2: So you know, we can say the same about cbd 942 00:44:16,080 --> 00:44:18,920 Speaker 2: A and cbc a and so on and so on. 943 00:44:19,239 --> 00:44:23,000 Speaker 2: But as the primary cannabinoid that you're feeling, THHC is 944 00:44:23,239 --> 00:44:26,520 Speaker 2: available in this raw form, this acidic form called th 945 00:44:26,760 --> 00:44:31,600 Speaker 2: HC A. When you affect it with energy, but most 946 00:44:31,600 --> 00:44:35,120 Speaker 2: of the time that means lighted on fire. You basically 947 00:44:35,280 --> 00:44:39,120 Speaker 2: run through this chemical conversion or not conversion. You run 948 00:44:39,160 --> 00:44:43,560 Speaker 2: through a chemical process where a carboxyl molecule is released 949 00:44:43,600 --> 00:44:47,879 Speaker 2: from this THC A molecule and it's now decarboxylated. 950 00:44:48,000 --> 00:44:50,279 Speaker 1: Good God, which is why he's saying the pre rules 951 00:44:50,280 --> 00:44:51,719 Speaker 1: as they sit there. It doesn't have to be the 952 00:44:51,719 --> 00:44:53,719 Speaker 1: heat of a fire, the heat of just. 953 00:44:55,200 --> 00:44:57,200 Speaker 4: You know, the energy from the room. 954 00:44:57,400 --> 00:44:59,919 Speaker 2: Absolutely, and that is enough to force d car box 955 00:45:00,520 --> 00:45:03,000 Speaker 2: on a form of cannabis when it's that further broken, 956 00:45:03,000 --> 00:45:05,680 Speaker 2: when it's that far broken down. So really what we're 957 00:45:05,719 --> 00:45:08,359 Speaker 2: looking at is a form of cannabis broken down. Now, 958 00:45:08,440 --> 00:45:10,399 Speaker 2: this is a this is a functional thing if you're 959 00:45:10,400 --> 00:45:12,239 Speaker 2: in if you're in effect of it so or if 960 00:45:12,239 --> 00:45:15,279 Speaker 2: you're in control, because what's in this joint is THHCA, 961 00:45:15,600 --> 00:45:19,200 Speaker 2: but what's in the smoke is delta nine THHC. Delta 962 00:45:19,280 --> 00:45:22,799 Speaker 2: nine THHC is what gets you high. So you want 963 00:45:22,880 --> 00:45:26,040 Speaker 2: delta nine. When something's being made into an edible form, 964 00:45:26,320 --> 00:45:29,719 Speaker 2: they messed up if they didn't decarboxylate it first and 965 00:45:29,760 --> 00:45:32,759 Speaker 2: put it into that decarboxylated form. And you're edible, right 966 00:45:33,160 --> 00:45:35,200 Speaker 2: because it's not like it's going to catch on fire 967 00:45:35,239 --> 00:45:37,640 Speaker 2: in your body or be that exposed to where you 968 00:45:37,719 --> 00:45:40,600 Speaker 2: get the full realm of effects from deltia nine. So 969 00:45:40,800 --> 00:45:44,680 Speaker 2: delta nine gets you high. THHCA grows on the plant, 970 00:45:44,719 --> 00:45:48,360 Speaker 2: and what differentiates them is decarboxylation. 971 00:45:48,000 --> 00:45:49,320 Speaker 1: And that's where they get around a lot of the 972 00:45:49,400 --> 00:45:51,440 Speaker 1: laws with the regulations and how you can send you know, 973 00:45:51,560 --> 00:45:54,520 Speaker 1: these products that have thhc A because they're not they're 974 00:45:54,560 --> 00:45:56,440 Speaker 1: not violating the laws. There are a lot of people are 975 00:45:56,520 --> 00:45:58,680 Speaker 1: using the THHCA to get around the different. 976 00:45:58,840 --> 00:46:00,839 Speaker 3: I guarantee that's going to be a Jeopardy question one 977 00:46:00,880 --> 00:46:02,440 Speaker 3: day and somebody listening to this is all right. 978 00:46:02,840 --> 00:46:05,640 Speaker 1: Number three the number Question number three is what is 979 00:46:06,120 --> 00:46:09,440 Speaker 1: your gochu munchie? No, no, excuse me. Question number two 980 00:46:09,440 --> 00:46:12,719 Speaker 1: is the craziest place you've ever used or consumed cannabis. 981 00:46:13,800 --> 00:46:17,279 Speaker 6: It's been like twenty years, but we also talked about this. 982 00:46:18,800 --> 00:46:21,520 Speaker 5: You don't age you remember, Oh yeah, but I don't 983 00:46:21,600 --> 00:46:27,520 Speaker 5: like it, so they won't believe me. I would say 984 00:46:27,560 --> 00:46:31,120 Speaker 5: like more than like fun places have been all the 985 00:46:31,160 --> 00:46:34,799 Speaker 5: fun places we've smoked. But I would say probably in 986 00:46:34,800 --> 00:46:37,040 Speaker 5: San Diego, we went to like the Maritime Museum and 987 00:46:37,040 --> 00:46:38,920 Speaker 5: they have all those boats and stuff right there, and 988 00:46:39,000 --> 00:46:39,920 Speaker 5: we totally snuck on. 989 00:46:40,080 --> 00:46:42,000 Speaker 6: I think it's the submarine right on like the side 990 00:46:42,080 --> 00:46:42,480 Speaker 6: or something. 991 00:46:42,920 --> 00:46:46,520 Speaker 2: I remember us smoking on the flagship of California, like 992 00:46:46,640 --> 00:46:47,760 Speaker 2: the tall Mass flagship. 993 00:46:47,800 --> 00:46:49,680 Speaker 5: Yeah, and it's like one of like there boats us 994 00:46:49,800 --> 00:46:51,880 Speaker 5: like going all over the world and stuff like that. 995 00:46:51,960 --> 00:46:54,000 Speaker 5: It's like the boat for California and like you totally 996 00:46:54,000 --> 00:46:54,719 Speaker 5: smoked it on it. 997 00:46:54,840 --> 00:46:57,799 Speaker 2: Yeah they yeah, that was that was memorable trip right there. 998 00:46:57,800 --> 00:47:00,799 Speaker 2: We uh and ironically unmemorable at the same time. 999 00:47:02,480 --> 00:47:05,600 Speaker 5: And then the other funny one was we got caught 1000 00:47:05,760 --> 00:47:08,279 Speaker 5: on Mark Twain's Island at Disneyland. 1001 00:47:08,880 --> 00:47:12,239 Speaker 4: How many times I heard that? Answered everybody? Somehow I've 1002 00:47:12,239 --> 00:47:14,280 Speaker 4: done that such a good idea. 1003 00:47:16,000 --> 00:47:20,320 Speaker 6: I'm like, bro, it's Disney a joint, a little joint. 1004 00:47:21,719 --> 00:47:23,799 Speaker 6: It was going to blow your cover. But let's just 1005 00:47:23,840 --> 00:47:25,360 Speaker 6: say he doesn't learn. 1006 00:47:26,840 --> 00:47:27,000 Speaker 4: It. 1007 00:47:28,360 --> 00:47:29,680 Speaker 5: And I thought it all the time, like if you 1008 00:47:29,680 --> 00:47:32,680 Speaker 5: get my Disney pass taken away, I don't know you. 1009 00:47:32,600 --> 00:47:38,360 Speaker 4: Now, question number four understand figured it's going to be Disney. 1010 00:47:39,239 --> 00:47:42,640 Speaker 2: It's accurate, and I'm happy to have to have let 1011 00:47:42,680 --> 00:47:45,719 Speaker 2: that answer stay there. Fortunately it was me who was 1012 00:47:45,719 --> 00:47:48,799 Speaker 2: present for both of us, so I'm going to stick 1013 00:47:48,840 --> 00:47:49,280 Speaker 2: with those. 1014 00:47:49,360 --> 00:47:50,719 Speaker 4: Good question before. 1015 00:47:50,760 --> 00:47:52,520 Speaker 3: The reason I'm excited for that one is I'm working 1016 00:47:52,520 --> 00:47:54,600 Speaker 3: on my summer body. I'm up to a six pack. 1017 00:47:54,800 --> 00:47:57,400 Speaker 3: Actually it's a one pack right now. But the munchies 1018 00:47:57,480 --> 00:47:59,480 Speaker 3: is a serious situation. For me, the question is what's 1019 00:47:59,480 --> 00:48:01,839 Speaker 3: your favorite? But I want to ask the science guy, 1020 00:48:02,560 --> 00:48:04,640 Speaker 3: is there a cure for the munchies? And if not, 1021 00:48:04,680 --> 00:48:06,800 Speaker 3: why doesn't somebody make one because they'd be a billionaire. 1022 00:48:06,880 --> 00:48:08,680 Speaker 3: Or is there a string that will be less unchiness? 1023 00:48:09,560 --> 00:48:12,399 Speaker 2: High thhc. The higher the THHC, the more that it's 1024 00:48:12,440 --> 00:48:15,839 Speaker 2: going to stimulate the receptor that's attached to munchies. So 1025 00:48:15,960 --> 00:48:18,440 Speaker 2: why do we get munchies? Because there's this thing called 1026 00:48:18,480 --> 00:48:21,640 Speaker 2: the endocannabinoid system in our body. There's a receptor called 1027 00:48:21,680 --> 00:48:24,560 Speaker 2: CB one that THHC has a high binding affinity to, 1028 00:48:25,160 --> 00:48:29,160 Speaker 2: and by binding to that receptor, any cannabinoid, any even 1029 00:48:29,160 --> 00:48:31,759 Speaker 2: the ones produced naturally with our body, are going to 1030 00:48:31,800 --> 00:48:34,560 Speaker 2: confer in effect where it increases your appetite. 1031 00:48:34,680 --> 00:48:37,279 Speaker 3: Now there's hangover pills. Is there no pill that I 1032 00:48:37,280 --> 00:48:38,720 Speaker 3: can take to get rid of the munchies? 1033 00:48:40,360 --> 00:48:44,640 Speaker 2: There? Once upon a time there was a type of 1034 00:48:45,280 --> 00:48:48,080 Speaker 2: product called rimonaban a long time ago. It was a 1035 00:48:48,080 --> 00:48:51,319 Speaker 2: CB one in verse agonist, which is a fancy way 1036 00:48:51,320 --> 00:48:53,640 Speaker 2: of saying that it shut down your CB one receptor. 1037 00:48:54,040 --> 00:48:57,120 Speaker 2: It was a diet drug, and that was that the surmise. 1038 00:48:57,280 --> 00:49:00,759 Speaker 2: Get it, no, no, no hold up. So that was 1039 00:49:00,840 --> 00:49:04,440 Speaker 2: Their conclusion was by shutting off this trigger that causes 1040 00:49:05,040 --> 00:49:07,719 Speaker 2: you know, munchies so to speak, that causes an appetite, 1041 00:49:08,080 --> 00:49:11,359 Speaker 2: that they would be able to create a product that 1042 00:49:11,520 --> 00:49:16,759 Speaker 2: controlled your appetite through this otherwise generally undiscovered you know, 1043 00:49:16,960 --> 00:49:22,279 Speaker 2: unattempted means pathway. And so this this chemical called ramonabant. 1044 00:49:22,360 --> 00:49:24,840 Speaker 2: I can't remember all of the things in terms of 1045 00:49:24,880 --> 00:49:26,959 Speaker 2: the side effects. It did help you lose weight because 1046 00:49:27,000 --> 00:49:27,840 Speaker 2: it did shut. 1047 00:49:27,600 --> 00:49:31,240 Speaker 4: Off all of a sudden getting hard. 1048 00:49:33,400 --> 00:49:37,719 Speaker 2: Increase, the risk of falling down increased, not nausea in 1049 00:49:37,840 --> 00:49:47,960 Speaker 2: a suicide ideation, boy, dry mouthes. They essentially so what 1050 00:49:48,080 --> 00:49:51,400 Speaker 2: I think it's a really good idea if anybody ever needs, 1051 00:49:51,560 --> 00:49:54,160 Speaker 2: you know, some time to take a quick moment and 1052 00:49:54,239 --> 00:49:56,960 Speaker 2: appreciate this chemical system in their bodies. You know, it's 1053 00:49:57,000 --> 00:49:59,799 Speaker 2: like your hormone system, but it's your endocannabinoid system. It's 1054 00:49:59,800 --> 00:50:03,000 Speaker 2: the reason why our bodies have a relationship with cannabis 1055 00:50:03,000 --> 00:50:06,760 Speaker 2: in the first place. It's through shutting down that system 1056 00:50:07,040 --> 00:50:10,799 Speaker 2: you can basically help create that nightmare scenario. This is 1057 00:50:10,800 --> 00:50:13,880 Speaker 2: even suggesting that your body's own ability to regulate itself 1058 00:50:13,880 --> 00:50:16,719 Speaker 2: from those things goes away without cannabis. 1059 00:50:16,840 --> 00:50:19,880 Speaker 1: Yes, like you have you know, a digestive system, know 1060 00:50:19,880 --> 00:50:22,360 Speaker 1: a respiratory system, You've got your indocannabinoid system. 1061 00:50:22,480 --> 00:50:24,799 Speaker 3: Which and I've asked that question several people, but no 1062 00:50:24,800 --> 00:50:26,160 Speaker 3: one's actually answered in that way. 1063 00:50:26,200 --> 00:50:28,520 Speaker 4: So I do appreciate that. So I did hijack the question. 1064 00:50:28,760 --> 00:50:32,440 Speaker 1: Yeah, what is your go too munch after you get high? 1065 00:50:32,480 --> 00:50:34,600 Speaker 5: Well, I like to mindlessly eat, So I go to 1066 00:50:34,680 --> 00:50:37,440 Speaker 5: cherries because cherries is something I can just like you know, 1067 00:50:37,680 --> 00:50:40,279 Speaker 5: not destroy my body with and just kind of mindlessly eat. 1068 00:50:41,000 --> 00:50:43,200 Speaker 5: So I try to stick with fruit like grapes, cherries, 1069 00:50:43,200 --> 00:50:45,279 Speaker 5: things I can just because I'm working at the same time, 1070 00:50:45,400 --> 00:50:48,879 Speaker 5: you know so. And then cheese and crackers. I literally 1071 00:50:48,920 --> 00:50:50,240 Speaker 5: could just live off cheese and crackers. 1072 00:50:50,600 --> 00:50:58,759 Speaker 1: Is there any type of specific cheese sharp cheddar? And you, 1073 00:50:58,880 --> 00:51:01,040 Speaker 1: mister Nate, go too much out of sugar. 1074 00:51:01,640 --> 00:51:04,640 Speaker 2: I've got a sweet tooth, so I've got a sugar addiction. 1075 00:51:04,760 --> 00:51:09,600 Speaker 2: Like I don't realize that something like you know, I 1076 00:51:09,640 --> 00:51:12,319 Speaker 2: don't realize that something's wrong with me until either she 1077 00:51:12,400 --> 00:51:14,360 Speaker 2: says something or it's my fourth dessert And I'm like, 1078 00:51:14,440 --> 00:51:15,640 Speaker 2: Nate too much like. 1079 00:51:16,520 --> 00:51:17,880 Speaker 1: Which which dessert specifically? 1080 00:51:17,880 --> 00:51:18,000 Speaker 6: Though? 1081 00:51:18,040 --> 00:51:19,920 Speaker 1: Are you like more chocolate too? 1082 00:51:20,440 --> 00:51:22,280 Speaker 2: If we have ice cream, I'll go for that almost 1083 00:51:22,280 --> 00:51:22,799 Speaker 2: every time. 1084 00:51:23,000 --> 00:51:24,520 Speaker 1: Is it a vanilla Rocky road? 1085 00:51:26,719 --> 00:51:31,320 Speaker 2: The more just complicated, the better. I guess how much 1086 00:51:32,400 --> 00:51:35,080 Speaker 2: peanut butter and how much I felt like he was 1087 00:51:35,080 --> 00:51:38,279 Speaker 2: gonna go down the peanut butter. So, I mean, if 1088 00:51:38,320 --> 00:51:41,120 Speaker 2: anybody else here has a sweet tooth, So let's create 1089 00:51:41,160 --> 00:51:43,759 Speaker 2: this baseline of like vanilla sweet cream. I'm gonna add 1090 00:51:43,800 --> 00:51:46,680 Speaker 2: chocolate chips, still going, I'm gonna add some caramel, still 1091 00:51:46,680 --> 00:51:47,879 Speaker 2: all right? Some peanut butter? 1092 00:51:48,000 --> 00:51:48,200 Speaker 3: Is that? 1093 00:51:48,239 --> 00:51:51,240 Speaker 2: Okay? How much more before you ask me to stop? 1094 00:51:51,600 --> 00:51:52,439 Speaker 2: That's where we're at. 1095 00:51:52,719 --> 00:51:56,840 Speaker 1: Nice question number five of the high five. If you 1096 00:51:56,880 --> 00:52:00,560 Speaker 1: could smoke cannabis with anybody dead or lie, who would 1097 00:52:00,600 --> 00:52:00,879 Speaker 1: it be? 1098 00:52:01,040 --> 00:52:01,439 Speaker 2: And why? 1099 00:52:02,320 --> 00:52:02,440 Speaker 7: Uh? 1100 00:52:02,960 --> 00:52:04,400 Speaker 6: My top two picks are still alive. 1101 00:52:05,520 --> 00:52:08,759 Speaker 5: One would be doctor Dry the other one would be 1102 00:52:08,880 --> 00:52:11,560 Speaker 5: Dave Girl all right, because I think he's a great 1103 00:52:11,600 --> 00:52:13,160 Speaker 5: human being and I'd like to pick his brain on 1104 00:52:13,200 --> 00:52:14,279 Speaker 5: how to be a greater human being. 1105 00:52:14,320 --> 00:52:17,319 Speaker 1: I like, I was just gonna ask why, and you 1106 00:52:17,440 --> 00:52:21,759 Speaker 1: Nate Carl Sagan, which that's probably dating me because how 1107 00:52:21,760 --> 00:52:24,120 Speaker 1: many fucking people know who Carl Sagan. 1108 00:52:23,840 --> 00:52:28,279 Speaker 2: Is these days? But homeboy was this amazing blend of 1109 00:52:29,800 --> 00:52:34,799 Speaker 2: philosophy and of philosophy and science. And I was a 1110 00:52:34,840 --> 00:52:37,439 Speaker 2: fan of weed too, So you know what else could 1111 00:52:37,440 --> 00:52:38,840 Speaker 2: you ask for in a session? 1112 00:52:40,000 --> 00:52:41,719 Speaker 4: Now I know you guys, I mean fans, go ahead. 1113 00:52:41,719 --> 00:52:45,080 Speaker 2: Sorry, I mean my wife. I was a good catch. 1114 00:52:45,600 --> 00:52:46,520 Speaker 4: My husband too. 1115 00:52:47,080 --> 00:52:50,279 Speaker 1: But you guys do smoke together every day, right, Yeah? 1116 00:52:50,480 --> 00:52:52,480 Speaker 6: Yeah. I think one of the funny things when we 1117 00:52:52,480 --> 00:52:52,919 Speaker 6: were dating. 1118 00:52:52,960 --> 00:52:54,479 Speaker 5: I think he told me that he told a buddy 1119 00:52:54,560 --> 00:52:57,440 Speaker 5: about his days and girl, and the buddy made some 1120 00:52:57,560 --> 00:52:59,279 Speaker 5: jokes like, oh, so now you're buying weed for two 1121 00:52:59,280 --> 00:53:01,239 Speaker 5: and he's like, no, she always has her own weed. 1122 00:53:02,200 --> 00:53:02,839 Speaker 4: That's a good girl. 1123 00:53:03,280 --> 00:53:03,480 Speaker 8: Yeah. 1124 00:53:03,840 --> 00:53:07,120 Speaker 2: And on that quick note, I can't even imagine dating, 1125 00:53:07,400 --> 00:53:11,799 Speaker 2: being married to anything with your life's partner without the 1126 00:53:11,840 --> 00:53:14,839 Speaker 2: two of you smoking weed that has quelled so many 1127 00:53:14,920 --> 00:53:19,120 Speaker 2: arguments and giving us both that dual perspective that I mean, 1128 00:53:19,200 --> 00:53:23,480 Speaker 2: especially me coming from this this agent right here by 1129 00:53:23,520 --> 00:53:25,520 Speaker 2: all means I can credit parts. 1130 00:53:25,280 --> 00:53:28,000 Speaker 3: Of It's very rare that you see husband and wife 1131 00:53:28,040 --> 00:53:32,200 Speaker 3: that are I work, live together, party together, and together. 1132 00:53:32,280 --> 00:53:34,520 Speaker 5: And you guys made it work, So you are not 1133 00:53:34,520 --> 00:53:36,520 Speaker 5: surprised how many people have such Oh my god, you're 1134 00:53:36,520 --> 00:53:37,000 Speaker 5: still together. 1135 00:53:37,800 --> 00:53:37,960 Speaker 4: Well. 1136 00:53:37,960 --> 00:53:39,800 Speaker 1: I feel the same way about parenting. I feel like 1137 00:53:39,840 --> 00:53:42,319 Speaker 1: the best parenting is you can smoke cannabis together and 1138 00:53:42,320 --> 00:53:43,600 Speaker 1: it's like, you know, you can be able to find 1139 00:53:43,640 --> 00:53:45,759 Speaker 1: those common grounds and then not be as angry at 1140 00:53:45,800 --> 00:53:46,759 Speaker 1: what the kid did or who. 1141 00:53:48,760 --> 00:53:50,200 Speaker 6: Smoke and build legos man. 1142 00:53:51,719 --> 00:53:53,080 Speaker 1: Someone who step on the legos. 1143 00:53:54,960 --> 00:53:57,360 Speaker 3: So if somebody who wants to hear more, obviously you 1144 00:53:57,360 --> 00:54:00,279 Speaker 3: guys are passionate about educating everybody. How can they find 1145 00:54:00,320 --> 00:54:02,080 Speaker 3: you on socials or how can they get a hold 1146 00:54:02,080 --> 00:54:02,239 Speaker 3: of you? 1147 00:54:02,920 --> 00:54:07,360 Speaker 5: Well, me, I'm starting my solo career and I'm working 1148 00:54:07,400 --> 00:54:09,799 Speaker 5: on it. I'm actually I'm pretty comfortable here because I've 1149 00:54:09,800 --> 00:54:12,439 Speaker 5: known you forever and but normally I'm like, oh my god, 1150 00:54:12,480 --> 00:54:17,719 Speaker 5: camera running high. But I'm pushing myself. So my Instagram 1151 00:54:17,760 --> 00:54:23,160 Speaker 5: is Missus Cannilore and missus and then c A N 1152 00:54:23,360 --> 00:54:24,360 Speaker 5: N A L l. 1153 00:54:24,840 --> 00:54:26,920 Speaker 6: U are excellent. Surprised they did that? 1154 00:54:27,000 --> 00:54:30,880 Speaker 5: Okay, So yeah, Missus Cannelore and I kind of want 1155 00:54:30,920 --> 00:54:33,360 Speaker 5: to take this approach to approaches where you know, I 1156 00:54:33,400 --> 00:54:35,160 Speaker 5: have a lot of girlfriends they smoke weed, but they 1157 00:54:35,200 --> 00:54:37,759 Speaker 5: have no idea what's going on in this industry. And 1158 00:54:37,800 --> 00:54:40,120 Speaker 5: I have a lot of cana wife friends who you know, 1159 00:54:40,160 --> 00:54:41,480 Speaker 5: when you're married into cannabis. 1160 00:54:41,520 --> 00:54:44,520 Speaker 6: It's just like it's a whole different beast, you know. 1161 00:54:44,640 --> 00:54:47,200 Speaker 5: We we can laugh about the same things about you know, 1162 00:54:47,239 --> 00:54:48,640 Speaker 5: oh yeah, when they're on their phone and they're just 1163 00:54:48,680 --> 00:54:50,120 Speaker 5: pacing back and forth for forty five. 1164 00:54:50,080 --> 00:54:53,359 Speaker 6: Minutes, you know, stuff like that. So and I want 1165 00:54:53,400 --> 00:54:54,040 Speaker 6: to also. 1166 00:54:53,960 --> 00:54:56,200 Speaker 5: Bring in some of my frustrations in the industry and 1167 00:54:56,280 --> 00:54:58,960 Speaker 5: you know, kind of express what those are and and 1168 00:54:59,080 --> 00:55:02,080 Speaker 5: just educate the community, you know, kind of reaching out 1169 00:55:02,120 --> 00:55:04,480 Speaker 5: to some of ladies out there, because I think if 1170 00:55:04,480 --> 00:55:06,680 Speaker 5: I feel I'm talking to my friends, it's going to 1171 00:55:06,719 --> 00:55:08,600 Speaker 5: be easier to just say what's on my mind. 1172 00:55:08,719 --> 00:55:09,880 Speaker 6: So, yeah, missus Kenda. 1173 00:55:09,760 --> 00:55:11,840 Speaker 1: Law the Real Housewives of Cannabis. 1174 00:55:14,000 --> 00:55:16,839 Speaker 5: We're not that dramatic. We would just be like, hey, man, 1175 00:55:18,920 --> 00:55:21,240 Speaker 5: are we fighting? Let's go pour some prosecco. 1176 00:55:22,400 --> 00:55:23,200 Speaker 4: What about you? Nate? 1177 00:55:24,280 --> 00:55:26,919 Speaker 2: Mine is Candi centric? Well, first plug the lab Bell 1178 00:55:26,960 --> 00:55:30,600 Speaker 2: Coastal Labs, you know, and that's the instagram. I'm CANi centric, 1179 00:55:30,680 --> 00:55:34,239 Speaker 2: like a portmanteau of eccentric and cannabis, right, but right, 1180 00:55:34,680 --> 00:55:37,240 Speaker 2: Candi centric. That's how to find me. That's all about 1181 00:55:37,239 --> 00:55:39,600 Speaker 2: the education kind of side of things too, and being 1182 00:55:39,640 --> 00:55:43,239 Speaker 2: able to now pursue what I feel is going to 1183 00:55:43,239 --> 00:55:45,680 Speaker 2: be the best way to talk to you know, the 1184 00:55:45,719 --> 00:55:48,760 Speaker 2: many hopeful fans of cannabis now and in the future, 1185 00:55:49,239 --> 00:55:51,960 Speaker 2: and all of the people in terms of what they're getting, 1186 00:55:52,120 --> 00:55:55,360 Speaker 2: what they're smoking, what they're missing, all that fun stuff. 1187 00:55:55,400 --> 00:55:56,920 Speaker 1: I got one more question for you too before you 1188 00:55:56,960 --> 00:55:58,600 Speaker 1: late guys get out of here. So, if I'm just 1189 00:55:58,600 --> 00:56:00,120 Speaker 1: a consumer and I want to bring my product, so 1190 00:56:00,160 --> 00:56:02,080 Speaker 1: do you guys as well? Like just random tests for 1191 00:56:02,200 --> 00:56:04,520 Speaker 1: the wars, they just have to be through metrics. 1192 00:56:05,719 --> 00:56:07,960 Speaker 2: It doesn't have to be by metric. If you as 1193 00:56:08,040 --> 00:56:10,360 Speaker 2: that every man want to bring part of your backyard 1194 00:56:10,440 --> 00:56:14,080 Speaker 2: grow into us and see if you know you inadvertently 1195 00:56:14,080 --> 00:56:17,759 Speaker 2: contaminated with heavy metals or pesticides or trust. 1196 00:56:17,440 --> 00:56:21,480 Speaker 3: Me, just marijuana or MDMA and other substances as well cannabis. 1197 00:56:21,800 --> 00:56:23,880 Speaker 2: We specialized on cannabis, not much said. I mean, that 1198 00:56:23,920 --> 00:56:27,000 Speaker 2: hasn't stopped people from bringing us an avocado from the yard. 1199 00:56:26,760 --> 00:56:27,920 Speaker 4: And say, do you guys test this? 1200 00:56:28,680 --> 00:56:31,440 Speaker 2: So we're a cannabis specialized set well. 1201 00:56:31,440 --> 00:56:33,040 Speaker 5: And one thing he has worked with a couple of 1202 00:56:33,080 --> 00:56:36,680 Speaker 5: people is I'm like, recently a lady's dog got sick 1203 00:56:36,719 --> 00:56:39,760 Speaker 5: because they like did a pesticide outside of our house 1204 00:56:39,880 --> 00:56:42,880 Speaker 5: or something like that. So I know, like we've tested 1205 00:56:42,880 --> 00:56:45,440 Speaker 5: soil and stuff for people who like their animals have 1206 00:56:45,440 --> 00:56:47,480 Speaker 5: gotten sick or their kids have gotten sick and they're 1207 00:56:47,480 --> 00:56:49,080 Speaker 5: taking it to court or something like that, and they 1208 00:56:49,080 --> 00:56:50,040 Speaker 5: want to know more and have. 1209 00:56:50,040 --> 00:56:52,840 Speaker 6: The data so it can get creative. 1210 00:56:52,880 --> 00:56:55,560 Speaker 5: But more in that avenue where you know, we're primarily 1211 00:56:55,640 --> 00:56:58,439 Speaker 5: looking for helping people find like contaminations that my favor 1212 00:56:58,560 --> 00:56:59,600 Speaker 5: property and stuff like that. 1213 00:56:59,600 --> 00:57:02,239 Speaker 2: That's a big kind of future ology, if you will, 1214 00:57:02,400 --> 00:57:05,560 Speaker 2: aspect of cannabis and cannabis testing. If I take another 1215 00:57:05,680 --> 00:57:10,160 Speaker 2: minute or two to to tell you guys about it, 1216 00:57:10,160 --> 00:57:12,839 Speaker 2: it's root cause analysis because as a lab, you know, 1217 00:57:13,000 --> 00:57:15,240 Speaker 2: what we do is test things. What if you fail, 1218 00:57:15,640 --> 00:57:18,360 Speaker 2: what do you do? Did the heavy metals come from 1219 00:57:18,360 --> 00:57:20,400 Speaker 2: your soil? Did they come from your water? Where did 1220 00:57:20,440 --> 00:57:23,640 Speaker 2: they come from? Was it pesticides? Where in your facility 1221 00:57:23,760 --> 00:57:26,320 Speaker 2: these pesticides come? And how did it make it make 1222 00:57:26,360 --> 00:57:29,760 Speaker 2: its way over to you? Oftentimes I can figure that out, 1223 00:57:30,280 --> 00:57:32,400 Speaker 2: usually able to figure out based on what kind of 1224 00:57:32,440 --> 00:57:36,000 Speaker 2: contaminant I see and what type of likely areas it 1225 00:57:36,040 --> 00:57:39,120 Speaker 2: came from, nested within a pretty vast at this point, 1226 00:57:39,160 --> 00:57:42,320 Speaker 2: two dozen years in this you know at twenty twenty three, 1227 00:57:42,720 --> 00:57:45,479 Speaker 2: two dozen years in cannabis, and I'm able to see 1228 00:57:45,520 --> 00:57:49,520 Speaker 2: oftentimes between taking swabs and looking at things that are microscopic, 1229 00:57:49,640 --> 00:57:52,800 Speaker 2: right and basically being able to kind of create this 1230 00:57:53,000 --> 00:57:55,640 Speaker 2: logical puzzle of what I saw, where it comes from, 1231 00:57:55,960 --> 00:57:58,480 Speaker 2: and how it works, and I'm able to tell what happens. 1232 00:57:58,520 --> 00:58:01,760 Speaker 2: I've got a really good track record for what exists 1233 00:58:01,760 --> 00:58:05,600 Speaker 2: in other industries, but root cause analysis for cannabis, I 1234 00:58:05,600 --> 00:58:07,760 Speaker 2: think that at this point we can say we fathered 1235 00:58:07,800 --> 00:58:10,520 Speaker 2: that movement and it's a big one. 1236 00:58:10,640 --> 00:58:12,960 Speaker 1: Nice that's a big separator between you guys and other 1237 00:58:13,360 --> 00:58:15,000 Speaker 1: labs out there, as you guys will actually do that 1238 00:58:15,120 --> 00:58:16,880 Speaker 1: root cause analysis or saying yeah. 1239 00:58:16,720 --> 00:58:19,720 Speaker 5: He does SI inspections. I think we've coined the term 1240 00:58:19,800 --> 00:58:21,560 Speaker 5: ask for jillous whisperer. 1241 00:58:22,240 --> 00:58:24,800 Speaker 2: Ask for jillous? Is that harmful mold? That that that's 1242 00:58:24,920 --> 00:58:26,880 Speaker 2: just death for a batch up there? No one wants 1243 00:58:26,880 --> 00:58:27,240 Speaker 2: to see that. 1244 00:58:27,480 --> 00:58:29,560 Speaker 3: Well, you guys, I could personally talk to you guys 1245 00:58:29,600 --> 00:58:31,760 Speaker 3: all day and I read a science Questions. I think 1246 00:58:31,800 --> 00:58:34,320 Speaker 3: we're going to definitely have you guys back. On that note, 1247 00:58:34,400 --> 00:58:36,520 Speaker 3: I wanted to thank you guys sincerely. You guys kind 1248 00:58:36,520 --> 00:58:38,600 Speaker 3: of you probably don't notice what you pop my CQ 1249 00:58:38,720 --> 00:58:41,360 Speaker 3: one O one Cherry. I have the show on Financial Fridays, 1250 00:58:41,360 --> 00:58:42,840 Speaker 3: but this is the first time that I've got to 1251 00:58:42,880 --> 00:58:44,960 Speaker 3: co host this with Chris, and you know, it's a 1252 00:58:45,000 --> 00:58:46,920 Speaker 3: little bit rough at the beginning, but I think by 1253 00:58:46,920 --> 00:58:49,400 Speaker 3: the end of it it worked out good. Thanks thank 1254 00:58:49,400 --> 00:58:51,000 Speaker 3: you to the entire staff that kind of put up 1255 00:58:51,000 --> 00:58:52,960 Speaker 3: with us today too. So it's all last minute me 1256 00:58:52,960 --> 00:58:55,320 Speaker 3: popping in. But I love having guys on here. 1257 00:58:55,320 --> 00:58:56,280 Speaker 4: You want to pose that out busy. 1258 00:58:56,680 --> 00:58:59,240 Speaker 1: Yeah, thank you guys for coming so much. Anybody house 1259 00:58:59,280 --> 00:59:02,080 Speaker 1: wants to check them out. Check them out out. Boucoslabs 1260 00:59:02,440 --> 00:59:03,280 Speaker 1: dot com. 1261 00:59:03,480 --> 00:59:03,960 Speaker 4: That was it. 1262 00:59:04,240 --> 00:59:06,840 Speaker 5: Yeah, that's the website and then the instagram is autpol 1263 00:59:06,880 --> 00:59:07,800 Speaker 5: Coastal Labs. 1264 00:59:07,840 --> 00:59:08,640 Speaker 2: Z o STA. 1265 00:59:09,880 --> 00:59:12,360 Speaker 1: Remember this, guys. If nobody else loves you, we do. 1266 00:59:13,120 --> 00:59:15,480 Speaker 7: Thank you for astening the Cannabis Talk one on one 1267 00:59:15,520 --> 00:59:19,120 Speaker 7: on the iHeartRadio app, Apple Podcasts or wherever you get 1268 00:59:19,160 --> 00:59:22,320 Speaker 7: your podcasts. Make sure you like, follow, and subscribe to 1269 00:59:22,360 --> 00:59:23,040 Speaker 7: the show now.