1 00:00:00,200 --> 00:00:02,480 Speaker 1: Heard around the world on the I Heart Radio act 2 00:00:02,720 --> 00:00:06,600 Speaker 1: Apple podcast. Overhe ever you get your podcast, it's Cannabis 3 00:00:06,600 --> 00:00:09,920 Speaker 1: Talk one oh one with Blue and Joe. Hello, welcome 4 00:00:09,960 --> 00:00:11,680 Speaker 1: to Cannabis Talk one oh one in the world's number 5 00:00:11,720 --> 00:00:14,520 Speaker 1: one source for everything cannabis money Blue alongside of me's 6 00:00:14,600 --> 00:00:16,480 Speaker 1: Mr Joe Grande. And you want now to get to 7 00:00:16,560 --> 00:00:18,960 Speaker 1: the greatest cannabis show on the planets. Yes you are. 8 00:00:19,079 --> 00:00:21,320 Speaker 1: Thank you guys for listening to the podcast Cannabis Talk 9 00:00:21,320 --> 00:00:22,960 Speaker 1: one on one all around the world. Make sure you 10 00:00:23,040 --> 00:00:25,160 Speaker 1: check out our website Cannabis Talk one on one dot 11 00:00:25,200 --> 00:00:27,600 Speaker 1: com as we have so many great articles and blogs 12 00:00:27,640 --> 00:00:32,320 Speaker 1: on the website. Call us up anytime that's right and 13 00:00:32,400 --> 00:00:34,680 Speaker 1: check out the i G pages at Cannabis Talk one 14 00:00:34,720 --> 00:00:37,040 Speaker 1: oh one. Blue was at the number one, Christopher writes, 15 00:00:37,479 --> 00:00:39,479 Speaker 1: I am at Joe Grande fifty two And if you 16 00:00:39,479 --> 00:00:41,600 Speaker 1: want to turn your typical into something special when it 17 00:00:41,640 --> 00:00:44,400 Speaker 1: comes to infuse products, the flavor you taste should be 18 00:00:44,440 --> 00:00:46,800 Speaker 1: just as enjoyable as the feeling you experience. Make sure 19 00:00:46,840 --> 00:00:49,320 Speaker 1: you check out the website from loran Oils dot com 20 00:00:49,400 --> 00:00:52,400 Speaker 1: for some good stuff. Right there, our guest on the show, 21 00:00:52,920 --> 00:00:57,320 Speaker 1: this scientist, This Madman himself. I got quite the intro 22 00:00:57,480 --> 00:01:01,360 Speaker 1: for you. Josh Worser Josh Were is the CEO and 23 00:01:01,480 --> 00:01:06,560 Speaker 1: co founder of SC Laboratories. Now SC Labs provides compliance, 24 00:01:06,640 --> 00:01:10,040 Speaker 1: quality control, and R and D testing services to help 25 00:01:10,080 --> 00:01:14,920 Speaker 1: cannabis and hemp companies build their reputations and products and 26 00:01:14,959 --> 00:01:18,039 Speaker 1: protect excuse me, their businesses. Now, a little bit about 27 00:01:18,040 --> 00:01:20,479 Speaker 1: this guy right here, Blue. He's a very smart dude. 28 00:01:20,480 --> 00:01:23,240 Speaker 1: Even though he's a packer fan. He's a very smart 29 00:01:23,280 --> 00:01:25,560 Speaker 1: guy besides the fact that he's a packer fan. Other 30 00:01:25,600 --> 00:01:29,800 Speaker 1: than that, Josh's goal is to bring the cannabis industry 31 00:01:29,880 --> 00:01:35,280 Speaker 1: into the mainstream through standardization and better understanding this powerful medicine. 32 00:01:35,680 --> 00:01:40,120 Speaker 1: He is actively involved in groups and organizations who are 33 00:01:40,240 --> 00:01:44,880 Speaker 1: pushing to develop national quality standards for cannabis, including the 34 00:01:45,000 --> 00:01:49,080 Speaker 1: U S Pharma Copia, which is the USP Cannabis Expert Panel, 35 00:01:49,400 --> 00:01:54,440 Speaker 1: the a O a C International Cannabis Working Group and 36 00:01:54,760 --> 00:01:59,120 Speaker 1: a founding member of the c a SP Committee, the 37 00:01:59,200 --> 00:02:03,760 Speaker 1: American Council of Independence Laboratories a c i L Cannabis 38 00:02:03,760 --> 00:02:09,000 Speaker 1: Committee UH, the National Institute of Standards and Technology n 39 00:02:09,000 --> 00:02:13,000 Speaker 1: I s T, the Cannabis Working Groups, and the American 40 00:02:13,480 --> 00:02:18,600 Speaker 1: Chemical Society, which is the a c S Cannabis Chemistry subdivision, 41 00:02:19,000 --> 00:02:23,880 Speaker 1: as well as other cannabis, hemp and Chemical Trade Association committees. 42 00:02:24,280 --> 00:02:27,799 Speaker 1: He was and it has also served as the President 43 00:02:27,840 --> 00:02:30,560 Speaker 1: of the United States of America and the President of 44 00:02:30,600 --> 00:02:35,840 Speaker 1: the Pacific Southwest Division of the Maybe not the President 45 00:02:35,840 --> 00:02:37,880 Speaker 1: of the United States, but definitely the president of the 46 00:02:37,880 --> 00:02:40,680 Speaker 1: Pacific Southwest Division of the a O a C. Right, 47 00:02:41,000 --> 00:02:42,520 Speaker 1: I mean, when you read all those other things, I 48 00:02:42,520 --> 00:02:44,600 Speaker 1: had to throw that one in there. Josh has presented 49 00:02:44,880 --> 00:02:49,359 Speaker 1: at various technical and cannabis conferences and events, including Harvard 50 00:02:49,480 --> 00:02:52,880 Speaker 1: Medical School with the pinky up you better Recognize and 51 00:02:53,000 --> 00:02:56,799 Speaker 1: the American Chemical Society Annual Meeting and the ao A 52 00:02:56,919 --> 00:03:00,360 Speaker 1: C Annual Meetings, the Emerald Cup, m J biz Con, 53 00:03:00,400 --> 00:03:02,919 Speaker 1: and now he's here at Cannabis Talk one oh one. 54 00:03:03,280 --> 00:03:06,720 Speaker 1: He has been published in several technical and trade publications, 55 00:03:06,720 --> 00:03:10,040 Speaker 1: including the Journal of Natural Products and Skunk Magazine, and 56 00:03:10,040 --> 00:03:14,080 Speaker 1: in two thousand ten, folks, he co founded that sc 57 00:03:14,320 --> 00:03:18,600 Speaker 1: Labs with his partners to ensure safe access to medical patients, 58 00:03:18,639 --> 00:03:20,679 Speaker 1: which is always dope and hearing some of the things 59 00:03:20,680 --> 00:03:22,760 Speaker 1: that they had to go through back then, can we 60 00:03:22,800 --> 00:03:26,200 Speaker 1: get this sent million at ups Teddy let them know 61 00:03:26,280 --> 00:03:29,440 Speaker 1: it's crazy. It's a crazy bark on that side right there. 62 00:03:29,480 --> 00:03:33,400 Speaker 1: With ten years of analytical data, they empower clients to 63 00:03:33,480 --> 00:03:40,040 Speaker 1: make informed decisions about products safety and consistency. Cultivators, manufacturers, brands, 64 00:03:40,400 --> 00:03:44,720 Speaker 1: and dispensaries rely on their science to ensure their delivery 65 00:03:45,280 --> 00:03:49,320 Speaker 1: safe products to customers. Now. They are accredited to I 66 00:03:49,640 --> 00:03:52,520 Speaker 1: s SO set one seven zero two five in California 67 00:03:52,640 --> 00:03:56,600 Speaker 1: and by Oreo, LAP and Oregon. From Innovations and Cannabis 68 00:03:56,640 --> 00:04:01,400 Speaker 1: and Hemp Testing to Progressive Data Solutions, sc labs is 69 00:04:01,480 --> 00:04:06,520 Speaker 1: advancing science to improve product quality in a compliance and 70 00:04:06,600 --> 00:04:13,480 Speaker 1: transformative manner. With their expertise and advanced analytical instruments, they 71 00:04:13,560 --> 00:04:17,920 Speaker 1: offer legal, defensible results and peace of mind. Check out 72 00:04:17,920 --> 00:04:20,479 Speaker 1: their website. Folks, don't just hear all that great stuff 73 00:04:20,520 --> 00:04:24,680 Speaker 1: I said, see labs dot com. Everybody, please, welcome to 74 00:04:24,720 --> 00:04:30,480 Speaker 1: the show. Josh, my brother from another mother. Thank you. No, 75 00:04:30,680 --> 00:04:33,080 Speaker 1: you didn't make me read all that. Josh. I proudly 76 00:04:33,200 --> 00:04:37,839 Speaker 1: grabbed all that because dude, you are so you know, 77 00:04:37,960 --> 00:04:39,800 Speaker 1: you're the type of guy that I look at that 78 00:04:39,839 --> 00:04:42,479 Speaker 1: gets into this industry that has the backing from the 79 00:04:42,600 --> 00:04:47,719 Speaker 1: University of Wisconsin. Madison, the University of Wisconsin, Green Bay Chemistry, 80 00:04:47,720 --> 00:04:51,599 Speaker 1: econ biology, environmental science, and then you bring all that 81 00:04:52,040 --> 00:04:54,640 Speaker 1: into cannabis. So when I say all those things, I 82 00:04:54,680 --> 00:04:57,360 Speaker 1: want people to realize who this man is that I'm 83 00:04:57,360 --> 00:05:00,360 Speaker 1: talking about. We're talking to you because you ring that 84 00:05:00,480 --> 00:05:04,560 Speaker 1: accredited stamp of I'm not just some dude who may 85 00:05:04,600 --> 00:05:06,680 Speaker 1: have just smoked weed as a kid. May have right, 86 00:05:06,720 --> 00:05:09,000 Speaker 1: we'll find that out. But my point is you have 87 00:05:09,160 --> 00:05:12,800 Speaker 1: all that backing ship that's like, dude, this dude's official. 88 00:05:15,839 --> 00:05:17,920 Speaker 1: I've been doing this too long. One of the two, Well, no, 89 00:05:18,160 --> 00:05:20,600 Speaker 1: you bring all that legitimate thing because it's not like 90 00:05:20,640 --> 00:05:23,200 Speaker 1: you started the sc labs and then got your degree. 91 00:05:23,240 --> 00:05:26,360 Speaker 1: You got your degree to do other stuff and then 92 00:05:26,400 --> 00:05:28,800 Speaker 1: bring that other stuff into cannabis. And before we get 93 00:05:28,839 --> 00:05:30,720 Speaker 1: into how you did all that and brought up that 94 00:05:31,120 --> 00:05:32,880 Speaker 1: I know I read and seen and talked to you. 95 00:05:32,880 --> 00:05:35,840 Speaker 1: You're from Wisconsin. Uh. For those who don't know, your 96 00:05:35,920 --> 00:05:39,800 Speaker 1: dad actually worked for the Green Bay Packers, which is awesome. 97 00:05:40,160 --> 00:05:41,560 Speaker 1: Tell us a little bit about that and how you 98 00:05:41,600 --> 00:05:43,800 Speaker 1: were a part of the team. Yeah. Yeah, and and 99 00:05:43,880 --> 00:05:45,479 Speaker 1: sorry for the packer fan thing. I was born that. 100 00:05:45,560 --> 00:05:46,919 Speaker 1: I can't help it. No, it's good. You know what, 101 00:05:46,960 --> 00:05:49,120 Speaker 1: it's the chiefs head. You know. I love that you're 102 00:05:49,120 --> 00:05:51,400 Speaker 1: a Packer fan, because, in my opinion, Green Bay Packers 103 00:05:51,440 --> 00:05:53,560 Speaker 1: are almost like the Dallas Cowboys, who are my team. 104 00:05:53,560 --> 00:05:56,320 Speaker 1: They're like a solid foundation of what the NFL is about, 105 00:05:56,520 --> 00:05:58,320 Speaker 1: you know what I mean. You got the Lombardi from 106 00:05:58,560 --> 00:06:01,279 Speaker 1: from Green Bay. It's just part of the culture in 107 00:06:01,279 --> 00:06:03,400 Speaker 1: the history. Yeah. I mean, they're owned by the fans, 108 00:06:03,440 --> 00:06:05,840 Speaker 1: which I think should be the model for every professional franchise, 109 00:06:05,880 --> 00:06:08,800 Speaker 1: which is different than they're the only team that's like that. Yeah, yeah, yeah, 110 00:06:09,080 --> 00:06:11,400 Speaker 1: yeah yeah. Growing up, yeah, my dad was electrician. He 111 00:06:11,440 --> 00:06:13,800 Speaker 1: worked for the Packers. He did the remodeling when they 112 00:06:13,839 --> 00:06:16,120 Speaker 1: rebuilt the stadium. He was the foreman for that, and 113 00:06:16,120 --> 00:06:18,200 Speaker 1: then he got hired down by the Packers and worked 114 00:06:18,200 --> 00:06:20,440 Speaker 1: there kind of most of my life. And then when 115 00:06:20,480 --> 00:06:22,440 Speaker 1: I was in high school too, I actually would come 116 00:06:22,440 --> 00:06:24,360 Speaker 1: and clean the locker room after practice. That was my 117 00:06:24,800 --> 00:06:27,240 Speaker 1: first job. My dad came home one day I was 118 00:06:27,400 --> 00:06:28,720 Speaker 1: freshman in high school, is like, well, we got a 119 00:06:28,800 --> 00:06:30,920 Speaker 1: job now, and uh that was it. And I did 120 00:06:30,960 --> 00:06:34,360 Speaker 1: most most ever and white right on the defensive side. Yeah. Yeah, 121 00:06:34,400 --> 00:06:36,560 Speaker 1: that was back in the late nineties. So yeah, you know, 122 00:06:36,600 --> 00:06:40,800 Speaker 1: Brett Farve, Reggie White. Yeah, yeah, yeah, that was a 123 00:06:40,880 --> 00:06:43,080 Speaker 1: goal exactly. You got a chance to be a part 124 00:06:43,080 --> 00:06:45,680 Speaker 1: of Green Bay when it was just you know, iconic. Well, 125 00:06:45,680 --> 00:06:47,800 Speaker 1: we did a little research on you before you came, 126 00:06:48,400 --> 00:06:51,520 Speaker 1: so we wanted to kind of surprise you. Okay, ladies 127 00:06:51,520 --> 00:06:56,800 Speaker 1: and gentlemen, Brett far It looks over there, like what 128 00:06:57,120 --> 00:06:59,480 Speaker 1: is he coming with the concussion and all? You know, 129 00:07:00,920 --> 00:07:02,960 Speaker 1: tell us, you know what what what high school? Like? 130 00:07:03,000 --> 00:07:04,960 Speaker 1: How how did high school work for you? Where do 131 00:07:05,000 --> 00:07:07,320 Speaker 1: you like? Tell us who you are before you know, 132 00:07:07,360 --> 00:07:09,840 Speaker 1: the sc labs and all that good stuff. Yeah, I mean, 133 00:07:09,880 --> 00:07:11,600 Speaker 1: so you know, I went to kind of a small 134 00:07:11,640 --> 00:07:15,200 Speaker 1: town high school outside of Green Bay, um, and and 135 00:07:15,280 --> 00:07:18,160 Speaker 1: you know, was you know, into science, and you kind 136 00:07:18,160 --> 00:07:19,720 Speaker 1: of you could see how I ended up where I 137 00:07:19,760 --> 00:07:21,120 Speaker 1: ended up. But I was also into cannabis, you know, 138 00:07:21,160 --> 00:07:23,880 Speaker 1: a smoke cannabis first time, and and just kind of 139 00:07:23,920 --> 00:07:25,600 Speaker 1: for me, it was like a revelation, you know, I 140 00:07:25,640 --> 00:07:27,760 Speaker 1: just I just you know, kind of made me question 141 00:07:27,800 --> 00:07:29,520 Speaker 1: everything I've been taught up to that point. You know, 142 00:07:29,680 --> 00:07:32,040 Speaker 1: for for back in those days, cannabis was still a 143 00:07:32,080 --> 00:07:34,120 Speaker 1: drug and it was still bad for you. And that's 144 00:07:34,120 --> 00:07:36,440 Speaker 1: what I had been taught by my teachers, and and 145 00:07:36,520 --> 00:07:38,840 Speaker 1: you know, and all the educators I I who brought 146 00:07:38,880 --> 00:07:41,520 Speaker 1: it up, and in um smoke cannabis for the first time, 147 00:07:41,560 --> 00:07:43,520 Speaker 1: and you know kind of was what else are they 148 00:07:43,600 --> 00:07:45,520 Speaker 1: lying to me about? You know. And so so in 149 00:07:45,600 --> 00:07:47,520 Speaker 1: high school, you know, um, you know, kind of really 150 00:07:47,760 --> 00:07:50,800 Speaker 1: really started liking cannabis. Um, you know, and and and 151 00:07:50,840 --> 00:07:53,920 Speaker 1: then you know that followed into college and and um, 152 00:07:54,000 --> 00:07:56,800 Speaker 1: you know it's kind of you know, you know, living 153 00:07:56,800 --> 00:07:59,640 Speaker 1: in Wisconsin and it was still illegal, but um, you know, 154 00:07:59,640 --> 00:08:01,400 Speaker 1: it might have been in the traditional market kind of 155 00:08:01,440 --> 00:08:03,400 Speaker 1: as a side job. I was in high school and college. 156 00:08:03,400 --> 00:08:05,800 Speaker 1: Really did you push a little bit of bounces here? 157 00:08:05,800 --> 00:08:07,960 Speaker 1: And there are some yeah, I mean, and so that 158 00:08:08,040 --> 00:08:09,400 Speaker 1: was back in the day, you know, And and yeah, 159 00:08:09,440 --> 00:08:11,640 Speaker 1: I mean, and so I had no stranger to California 160 00:08:11,680 --> 00:08:12,920 Speaker 1: at that time. And I got out of school and 161 00:08:12,960 --> 00:08:14,680 Speaker 1: I got my chemistry degree, and it kind of helped 162 00:08:14,680 --> 00:08:15,800 Speaker 1: me get through school. And I said, all right, well, 163 00:08:15,840 --> 00:08:18,560 Speaker 1: I'm gonna go into my chemistry career. And then uh, 164 00:08:19,440 --> 00:08:22,240 Speaker 1: you know, work for for a small company that would 165 00:08:22,320 --> 00:08:26,480 Speaker 1: synthesize custom molecules for pharmaceuticals. So um, we would make Basically, 166 00:08:26,520 --> 00:08:30,320 Speaker 1: if a pharmaceutical company had had in their computer models, 167 00:08:30,320 --> 00:08:33,520 Speaker 1: had you know, decided that a certain structured molecule would 168 00:08:33,559 --> 00:08:35,760 Speaker 1: possibly work to target some sort of receptor for some 169 00:08:35,840 --> 00:08:39,120 Speaker 1: sort of therapeutic purpose, we would actually synthesize that molecule 170 00:08:39,160 --> 00:08:40,760 Speaker 1: from scratch. So every few days we get a new 171 00:08:40,800 --> 00:08:42,920 Speaker 1: molecule and you know, sent to us that that someone 172 00:08:42,960 --> 00:08:45,439 Speaker 1: wanted synthesize, and so it's kind of like chemistry boot camp. 173 00:08:45,480 --> 00:08:48,800 Speaker 1: And then from there I moved to Samsung, which doing 174 00:08:48,880 --> 00:08:51,920 Speaker 1: electronic materials, so like the materials that that that computer 175 00:08:52,000 --> 00:08:53,760 Speaker 1: chips are made out of, you or your your your 176 00:08:53,880 --> 00:08:56,280 Speaker 1: phone displays made out of did that for a few 177 00:08:56,360 --> 00:08:59,120 Speaker 1: years and then so it's completely out of the canvasmans. 178 00:08:59,160 --> 00:09:00,880 Speaker 1: I a little girl up house, but nothing, you know, 179 00:09:00,960 --> 00:09:04,520 Speaker 1: nothing on a big scale or anything. And uh um, 180 00:09:04,640 --> 00:09:06,160 Speaker 1: I was staying up late one night kind of thinking 181 00:09:06,160 --> 00:09:07,520 Speaker 1: about when do I want to look for another job? 182 00:09:07,559 --> 00:09:09,080 Speaker 1: Been here a few years and I don't, you know, 183 00:09:09,120 --> 00:09:11,520 Speaker 1: see a long feature at Samsung, and uh I was 184 00:09:11,559 --> 00:09:13,520 Speaker 1: on Craigslist because that's where at the time people would 185 00:09:13,559 --> 00:09:19,000 Speaker 1: still go for jobs. And uh yeah at that time, Yeah, 186 00:09:19,480 --> 00:09:21,520 Speaker 1: what type of job, what time of night was it? 187 00:09:21,600 --> 00:09:24,920 Speaker 1: Exactly when you were on Craigslis. Yeah, right, that'll tell 188 00:09:25,000 --> 00:09:28,079 Speaker 1: us a lot. It was late at night, but I 189 00:09:28,240 --> 00:09:31,240 Speaker 1: was looking at jobs, definitely looking at jobs. Um, but 190 00:09:31,600 --> 00:09:33,840 Speaker 1: whatever happened to Cress, So they're still around, They're still 191 00:09:33,880 --> 00:09:35,920 Speaker 1: there somewhere. But I actually look for golf clubs on 192 00:09:35,960 --> 00:09:39,319 Speaker 1: there yesterday. Yeah. Oh yeah, they're still there. They're still 193 00:09:39,520 --> 00:09:42,240 Speaker 1: not for what you want. Yeah, it wasn't a massage. 194 00:09:42,360 --> 00:09:44,720 Speaker 1: Well maybe it's not the same. It's not the same, 195 00:09:44,840 --> 00:09:46,800 Speaker 1: but but I didn't stay up late. So I was 196 00:09:46,880 --> 00:09:48,800 Speaker 1: reading through and I just read through a job post 197 00:09:48,840 --> 00:09:51,120 Speaker 1: and it's like a regular job post for a chemistry position, 198 00:09:51,400 --> 00:09:53,199 Speaker 1: and at the very end it said must be comfortable 199 00:09:53,240 --> 00:09:55,280 Speaker 1: working with medical marijuana. And at the time, you know, 200 00:09:55,320 --> 00:09:57,800 Speaker 1: there was no laboratories that did what we do now, 201 00:09:58,280 --> 00:09:59,599 Speaker 1: and so I had no clue what they're up to, 202 00:09:59,679 --> 00:10:01,800 Speaker 1: and I I was just curious. I was thinking of, 203 00:10:01,880 --> 00:10:03,679 Speaker 1: you know, the movie Half Baked, and like, what what 204 00:10:03,840 --> 00:10:05,800 Speaker 1: kind of secret you know, secret pops do they have 205 00:10:05,880 --> 00:10:07,160 Speaker 1: going on in there? So I stayed up to like 206 00:10:07,200 --> 00:10:09,760 Speaker 1: three in the morning updating my resume, sent it in 207 00:10:09,840 --> 00:10:11,920 Speaker 1: and then went to work and then didn't really think 208 00:10:11,920 --> 00:10:13,880 Speaker 1: anything of it. Well, they called me and this was 209 00:10:13,920 --> 00:10:15,439 Speaker 1: steep Hill Labs. It was the first lab in the 210 00:10:15,480 --> 00:10:17,480 Speaker 1: world that would do testing for cannabis, you know, for 211 00:10:17,559 --> 00:10:21,040 Speaker 1: the cannips industry. And uh um, so I get there 212 00:10:21,760 --> 00:10:22,880 Speaker 1: or so I so I get to work. The next 213 00:10:22,920 --> 00:10:24,480 Speaker 1: morning they called me up, brought me in for an 214 00:10:24,520 --> 00:10:26,480 Speaker 1: interview and they were just about to open their doors 215 00:10:26,600 --> 00:10:29,120 Speaker 1: and their chemist had walked out on him. So, so 216 00:10:29,280 --> 00:10:31,760 Speaker 1: you got a job. Yeah. So before I had too 217 00:10:31,840 --> 00:10:33,360 Speaker 1: much time to think about it, I was like, this 218 00:10:33,480 --> 00:10:35,520 Speaker 1: is really cool. But you know, I've got a chemistry thing. 219 00:10:35,559 --> 00:10:37,160 Speaker 1: And like you know, back then, I was like, I 220 00:10:37,200 --> 00:10:38,880 Speaker 1: could never put this on my resume. So I'll take 221 00:10:38,920 --> 00:10:40,600 Speaker 1: this job and then I'll find a real job, won't 222 00:10:41,240 --> 00:10:43,319 Speaker 1: That was about fourteen years ago, and and that's the 223 00:10:43,400 --> 00:10:46,520 Speaker 1: real job you ever had. Yeah. You know, it's funny 224 00:10:46,559 --> 00:10:49,440 Speaker 1: because for years, man, I mean, you know, you were 225 00:10:49,480 --> 00:10:52,280 Speaker 1: the only lab that I knew about here in California, 226 00:10:52,480 --> 00:10:54,280 Speaker 1: you know, I mean I just just didn't know any 227 00:10:54,400 --> 00:10:57,320 Speaker 1: labs that would test cannabis or even touch it. And um, 228 00:10:57,480 --> 00:10:59,960 Speaker 1: you know, I believe you guys were Ecosta Maser Irvine 229 00:11:00,080 --> 00:11:01,760 Speaker 1: right here, yeah, right right, kind of on the board 230 00:11:01,760 --> 00:11:04,880 Speaker 1: of testing, right there, right, Yeah, So I had went 231 00:11:04,960 --> 00:11:07,640 Speaker 1: there years ago when I think Nate was working there, 232 00:11:07,920 --> 00:11:11,400 Speaker 1: you know that that guy, and then um, and I 233 00:11:11,679 --> 00:11:13,280 Speaker 1: checked out you guys this place, and I was like, oh, 234 00:11:13,320 --> 00:11:15,480 Speaker 1: this is cool. And I had no idea that you 235 00:11:15,520 --> 00:11:17,439 Speaker 1: guys were even testing what you know, it's just being 236 00:11:17,480 --> 00:11:19,600 Speaker 1: in the cannabis industry. So it was kind of evolving 237 00:11:19,720 --> 00:11:21,720 Speaker 1: for me. I feel like you're one of those pioneers 238 00:11:22,080 --> 00:11:25,160 Speaker 1: that actually was able to sustain the market get you know, 239 00:11:25,200 --> 00:11:26,920 Speaker 1: I would say at one point at least I don't 240 00:11:26,960 --> 00:11:29,520 Speaker 1: know how it looks today, but I feel like you had, 241 00:11:29,720 --> 00:11:33,559 Speaker 1: if not all the cannabis brands going to you, especially 242 00:11:35,040 --> 00:11:37,520 Speaker 1: I mean he started early on. You were the first, 243 00:11:38,120 --> 00:11:40,600 Speaker 1: well you're the second lab right when. No, there there 244 00:11:40,679 --> 00:11:42,400 Speaker 1: was a handful by the time we started. There's probably 245 00:11:42,440 --> 00:11:44,319 Speaker 1: maybe three or four when we started our lab, So 246 00:11:44,400 --> 00:11:45,920 Speaker 1: steep Hill was the first one, and then if you 247 00:11:45,960 --> 00:11:49,079 Speaker 1: had pomped up, there was also one in Colorado, um 248 00:11:49,320 --> 00:11:51,640 Speaker 1: that that popped up before us. But again, we're one 249 00:11:51,640 --> 00:11:53,040 Speaker 1: of the originally and we're the only one of those 250 00:11:53,240 --> 00:11:55,959 Speaker 1: that group that's kind of still here in California though. 251 00:11:56,000 --> 00:11:58,720 Speaker 1: You were were the one of the partners, right, Yeah, well, 252 00:11:58,720 --> 00:12:00,360 Speaker 1: we were one of them, but they're a couple of 253 00:12:00,400 --> 00:12:01,800 Speaker 1: other ones. Yeah, and we were the first one I 254 00:12:01,880 --> 00:12:05,680 Speaker 1: think could come down to SoCal or of any any scale. 255 00:12:05,679 --> 00:12:07,280 Speaker 1: And so yeah, we're down there. We had our lab 256 00:12:07,320 --> 00:12:09,280 Speaker 1: in Santa Cruz. It's our original lab. We're doing so 257 00:12:09,400 --> 00:12:11,440 Speaker 1: much work down here that we just we opened up 258 00:12:11,440 --> 00:12:14,439 Speaker 1: a satellite lab down here, and then when regulations hit, 259 00:12:14,640 --> 00:12:16,600 Speaker 1: we actually we kind of withdrew back to the lab 260 00:12:16,679 --> 00:12:18,400 Speaker 1: and now we're opening another lab back down here in 261 00:12:18,480 --> 00:12:21,560 Speaker 1: Van Ivy. How nice. Yeah, and talk about the story. 262 00:12:21,559 --> 00:12:23,679 Speaker 1: We're gonna take a break real quick. I want everybody 263 00:12:23,760 --> 00:12:25,319 Speaker 1: to hear the story that you told me off the 264 00:12:25,400 --> 00:12:27,600 Speaker 1: year when you first started in two thousand and ten, 265 00:12:28,040 --> 00:12:31,280 Speaker 1: how the neighborhood accepted you in Santa Cruz, what the 266 00:12:31,360 --> 00:12:34,559 Speaker 1: police officer said to you, and how that was because 267 00:12:34,640 --> 00:12:37,319 Speaker 1: it was far from legal at that standpoints and it 268 00:12:37,480 --> 00:12:40,079 Speaker 1: was really a what are you doing? What type of 269 00:12:40,200 --> 00:12:42,520 Speaker 1: lab are you opening? It's Cannabis Talk one oh one. 270 00:12:42,559 --> 00:12:44,520 Speaker 1: Will come right back after this break. Stay with us. 271 00:12:45,440 --> 00:12:47,880 Speaker 1: We'll be right back with Cannabis Talk one oh one. 272 00:12:55,559 --> 00:12:58,240 Speaker 1: Welcome back to Cannabis Talk one oh one. 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I was 281 00:13:24,840 --> 00:13:28,160 Speaker 1: just saying before the break, how I heard you, Josh 282 00:13:28,280 --> 00:13:30,719 Speaker 1: talk about what you had to go through in two 283 00:13:30,800 --> 00:13:33,040 Speaker 1: thousand ten. Please share that story with Blue and the 284 00:13:33,120 --> 00:13:35,640 Speaker 1: listeners when you opened up and how you would get 285 00:13:35,679 --> 00:13:37,920 Speaker 1: your product and how you would test it. Well, yeah, 286 00:13:37,960 --> 00:13:40,360 Speaker 1: and so I mean, you know, we're just talking about 287 00:13:40,400 --> 00:13:42,720 Speaker 1: how much of a different world is, how it's changed. 288 00:13:43,240 --> 00:13:44,920 Speaker 1: And so when we started the lab, you know, we're 289 00:13:44,960 --> 00:13:47,560 Speaker 1: we're in Santa Cuse and Santa Cruz is it's the familiar. 290 00:13:47,559 --> 00:13:49,480 Speaker 1: It's it's kind of up and over the coast range 291 00:13:49,520 --> 00:13:51,599 Speaker 1: from all of the Bay Area, and so it's like 292 00:13:51,679 --> 00:13:54,160 Speaker 1: the other humble though, like we're talking to I feel 293 00:13:54,160 --> 00:13:57,480 Speaker 1: like Santa Cruz is other's got plenty's you know. The 294 00:13:57,559 --> 00:13:59,760 Speaker 1: girl I felt like the best came from Santa Cruz. 295 00:13:59,760 --> 00:14:01,760 Speaker 1: And how humble for Santa Cruz. It's like hand in 296 00:14:01,800 --> 00:14:04,520 Speaker 1: hand a lot in Northern California period, just in general, 297 00:14:04,720 --> 00:14:06,640 Speaker 1: and in a lot of good genetics to have come 298 00:14:06,679 --> 00:14:07,960 Speaker 1: out of there too. You you know, you've got kind 299 00:14:08,000 --> 00:14:09,959 Speaker 1: of the whole haze thing. You've got a lot of 300 00:14:10,000 --> 00:14:12,280 Speaker 1: good genetics came out like in the eighties from Santacuse. 301 00:14:12,920 --> 00:14:15,040 Speaker 1: But yeah, so the U but the story was, so 302 00:14:15,200 --> 00:14:17,120 Speaker 1: that's why we opened in Santa Ccuse because they were 303 00:14:17,200 --> 00:14:19,680 Speaker 1: sort of the most friendly to the cannabis industry. You know, 304 00:14:19,760 --> 00:14:21,480 Speaker 1: you had Humble, you had Trinity, and then you had 305 00:14:21,520 --> 00:14:24,480 Speaker 1: Santa Cruz down south. And so when we opened, we know, 306 00:14:24,680 --> 00:14:26,440 Speaker 1: been made more sense to maybe open up in San Jose. 307 00:14:26,600 --> 00:14:28,080 Speaker 1: But we didn't know if we were going to get rated. 308 00:14:28,200 --> 00:14:30,880 Speaker 1: So so one of our partners, his dad was was, 309 00:14:31,000 --> 00:14:35,040 Speaker 1: you know, kind of a famous uh cannabis attorney, and basically, 310 00:14:35,120 --> 00:14:36,720 Speaker 1: you know, when we got in, we we you know, 311 00:14:36,840 --> 00:14:38,640 Speaker 1: we called everyone just to make sure, and so we 312 00:14:38,680 --> 00:14:40,760 Speaker 1: called the chief of police or he did, and and 313 00:14:40,840 --> 00:14:43,200 Speaker 1: at the time we were getting samples via fed X. 314 00:14:43,400 --> 00:14:46,360 Speaker 1: So um, that's so great to think, so so and 315 00:14:46,480 --> 00:14:48,280 Speaker 1: so he called the chief of police and said, hey, 316 00:14:48,440 --> 00:14:49,840 Speaker 1: you're gonna have a problem with this. And I mean, 317 00:14:49,840 --> 00:14:51,600 Speaker 1: I've got all kinds of fun fed X stories from 318 00:14:51,640 --> 00:14:54,760 Speaker 1: We can't do that anymore with regulations, right, that's crazy 319 00:14:54,840 --> 00:14:56,640 Speaker 1: to think. But every once in a while, you know, 320 00:14:56,760 --> 00:14:58,520 Speaker 1: like instead of just kind of staying in the state, 321 00:14:58,640 --> 00:15:00,640 Speaker 1: something would get rerouted, and you know, you get a 322 00:15:00,720 --> 00:15:03,360 Speaker 1: call from the d A and and I forget, there's 323 00:15:03,360 --> 00:15:05,720 Speaker 1: there there's a there's a hub somewhere and I think 324 00:15:05,760 --> 00:15:07,680 Speaker 1: Tennessee for fed X. And so every once in a 325 00:15:07,720 --> 00:15:08,920 Speaker 1: while we get a cough from them, like, hey, we 326 00:15:09,000 --> 00:15:11,400 Speaker 1: got another package came through. We gotta keep it. And 327 00:15:11,440 --> 00:15:13,280 Speaker 1: they wouldn't do anything, but they're like, we're not giving 328 00:15:13,320 --> 00:15:14,480 Speaker 1: it back. I mean, you can come here and get 329 00:15:14,480 --> 00:15:17,040 Speaker 1: it if you want, but yeah, call people and ask 330 00:15:17,080 --> 00:15:18,840 Speaker 1: them more samples. But those are the days, you know, 331 00:15:18,880 --> 00:15:21,440 Speaker 1: and back then everyone was everyone was testing it. Takes 332 00:15:21,480 --> 00:15:23,320 Speaker 1: that lost when that happens, I mean, did the did 333 00:15:23,360 --> 00:15:25,960 Speaker 1: the guy sending it or did you mean because that 334 00:15:26,040 --> 00:15:28,720 Speaker 1: could be like, you know, questionable, you know, especially back then, 335 00:15:28,800 --> 00:15:30,880 Speaker 1: people like did you you know you took my pound 336 00:15:31,000 --> 00:15:33,320 Speaker 1: or whatever? You know, how does that work? How did 337 00:15:33,360 --> 00:15:35,280 Speaker 1: that work back then, well that was you know, that 338 00:15:35,560 --> 00:15:37,440 Speaker 1: was a tough sell back in the day too. It's like, hey, 339 00:15:37,720 --> 00:15:39,160 Speaker 1: you know, I think you should give me a little 340 00:15:39,200 --> 00:15:40,960 Speaker 1: bit of all of your cannabis on your shelf because 341 00:15:40,960 --> 00:15:43,400 Speaker 1: back then we're testing mostly for dispensaries and uh and 342 00:15:43,440 --> 00:15:44,640 Speaker 1: then on top of that, give me a bunch of money. 343 00:15:44,680 --> 00:15:46,400 Speaker 1: I'll give you a piece of paper back. Yeah. Yeah, 344 00:15:46,800 --> 00:15:49,880 Speaker 1: but but you know, bro, I don't want to do 345 00:15:49,920 --> 00:15:51,760 Speaker 1: any of that. You know, it's like the way so 346 00:15:51,840 --> 00:15:53,640 Speaker 1: when you know, if back then, you know, you'd have 347 00:15:53,720 --> 00:15:55,320 Speaker 1: to make it right. You could be a little back 348 00:15:55,360 --> 00:15:57,200 Speaker 1: and forth, maybe some free tests or something like that. 349 00:15:57,360 --> 00:15:59,040 Speaker 1: But but you know that that was that was the 350 00:15:59,120 --> 00:16:00,480 Speaker 1: name of the game back then. Was a lot of fun, 351 00:16:00,520 --> 00:16:02,600 Speaker 1: you know, and people back then we're testing voluntarily, so 352 00:16:02,640 --> 00:16:04,960 Speaker 1: it's kind of like a whole different vibe. And uh 353 00:16:05,440 --> 00:16:06,880 Speaker 1: and it was from more from marketing that we got 354 00:16:06,920 --> 00:16:08,720 Speaker 1: really tight with weed Maps. So we Maps, you know, 355 00:16:08,840 --> 00:16:10,600 Speaker 1: really helped us blow up too early on. That's why 356 00:16:10,680 --> 00:16:13,920 Speaker 1: we came socale so quickly is because um, you know, 357 00:16:13,960 --> 00:16:16,320 Speaker 1: because weed Maps is really promoting our testing right on 358 00:16:16,360 --> 00:16:18,400 Speaker 1: their site and and kind of blew up testing in general, 359 00:16:18,480 --> 00:16:21,240 Speaker 1: and you know, listen. You know, we've we've had to 360 00:16:21,360 --> 00:16:23,760 Speaker 1: evolve this way and it's a blessing that you know, 361 00:16:23,840 --> 00:16:26,800 Speaker 1: people like yourselves came into the industry because we need 362 00:16:26,840 --> 00:16:31,080 Speaker 1: your professional you know, uh, you know, history and education 363 00:16:31,200 --> 00:16:33,600 Speaker 1: on what's going on in order to to to to 364 00:16:34,040 --> 00:16:37,800 Speaker 1: develop this industry. And we have not had um, prior 365 00:16:37,880 --> 00:16:39,960 Speaker 1: to this, we didn't have any testing, and who knows 366 00:16:40,040 --> 00:16:42,880 Speaker 1: what was in the product and and and you know, 367 00:16:43,040 --> 00:16:46,960 Speaker 1: finally we've got people holding companies accountable and making sure 368 00:16:47,040 --> 00:16:50,240 Speaker 1: that at least what we are ingesting or eating for 369 00:16:50,320 --> 00:16:53,200 Speaker 1: that matter, has some kind of a standard to it, right, yeah, 370 00:16:53,240 --> 00:16:55,600 Speaker 1: I mean and in in the early days before regulator 371 00:16:56,000 --> 00:16:59,240 Speaker 1: regulated testing, like you'd be shocked at the amount of 372 00:16:59,320 --> 00:17:01,520 Speaker 1: contaminants we found in cannabis in the levels that we 373 00:17:01,600 --> 00:17:04,320 Speaker 1: found them, like what, um, we'll past the sides and 374 00:17:04,640 --> 00:17:07,040 Speaker 1: back then before regulations are pesticide as it was only 375 00:17:07,119 --> 00:17:09,000 Speaker 1: like twelve analytes and it wasn't nearly as sensitive it 376 00:17:09,080 --> 00:17:12,160 Speaker 1: is and as it is now and we detect pesticides 377 00:17:12,160 --> 00:17:15,639 Speaker 1: and probably forty of the samples we saw and then concentrates. 378 00:17:15,680 --> 00:17:18,600 Speaker 1: It was because because you know, you run run dirty 379 00:17:18,640 --> 00:17:20,679 Speaker 1: batch through an extractor and then everything that comes out 380 00:17:20,800 --> 00:17:23,320 Speaker 1: is dirty after And so with regulations, I mean, now 381 00:17:23,400 --> 00:17:26,480 Speaker 1: you have like one of the cleanest consumer products out there. 382 00:17:26,640 --> 00:17:29,000 Speaker 1: You know, your food isn't that clean? The only thing 383 00:17:29,040 --> 00:17:31,560 Speaker 1: that's really comparable as pharmaceuticals, you know, they get tested 384 00:17:31,600 --> 00:17:34,520 Speaker 1: to that level. So as you test these and you 385 00:17:34,680 --> 00:17:38,960 Speaker 1: say you found these in there, what are the cons 386 00:17:39,440 --> 00:17:42,320 Speaker 1: of finding them? Because let's just face it, we all 387 00:17:42,400 --> 00:17:44,880 Speaker 1: grew up, all three of us here on set smoking 388 00:17:45,000 --> 00:17:47,920 Speaker 1: that cannabis we're talking about that had all that in there. 389 00:17:48,280 --> 00:17:50,440 Speaker 1: I don't have on the top of my head, but 390 00:17:50,960 --> 00:17:54,200 Speaker 1: we grew up smoking that hey in the middle exact. 391 00:17:55,520 --> 00:17:58,720 Speaker 1: But my point, my question is, though, what are the 392 00:17:58,960 --> 00:18:01,119 Speaker 1: you know, the cons of it? I mean, because I 393 00:18:01,240 --> 00:18:04,320 Speaker 1: look at us and go and I love Craig Washerman going, 394 00:18:04,359 --> 00:18:06,520 Speaker 1: I've been smoking it for years and it never hurt me, 395 00:18:06,640 --> 00:18:09,200 Speaker 1: and blah blah. And he's, you know, seventy five years 396 00:18:09,240 --> 00:18:13,000 Speaker 1: old for God's sakes, maybe maybe ninety six, whatever he is. 397 00:18:13,440 --> 00:18:16,000 Speaker 1: But my point is he uses this and says this 398 00:18:16,160 --> 00:18:19,240 Speaker 1: every time, and I always and don't get it twisted. 399 00:18:19,359 --> 00:18:21,359 Speaker 1: I'm a big fan and believer of the testing that 400 00:18:21,480 --> 00:18:22,840 Speaker 1: I love it and want it, and I think it's 401 00:18:22,880 --> 00:18:24,600 Speaker 1: you know, we're gonna get more involved in what I 402 00:18:24,640 --> 00:18:26,440 Speaker 1: really want to happen with testing and on all that. 403 00:18:27,200 --> 00:18:29,600 Speaker 1: But what are the cons of finding all these things? 404 00:18:29,680 --> 00:18:32,280 Speaker 1: Of like what do they do if you consume too much? 405 00:18:33,000 --> 00:18:35,040 Speaker 1: Yeah and so so and and yeah, I hear you, 406 00:18:35,200 --> 00:18:37,320 Speaker 1: like you know, and you know, I was getting back Wisconsin, 407 00:18:37,320 --> 00:18:38,720 Speaker 1: I don't you guys, You guys are a little little 408 00:18:38,720 --> 00:18:40,280 Speaker 1: probably got a little better out here in Cali. But 409 00:18:40,400 --> 00:18:42,879 Speaker 1: I was I was smoking brickly too. If you have 410 00:18:43,000 --> 00:18:47,119 Speaker 1: to ring it out right, I mean, you ain't growing 411 00:18:47,160 --> 00:18:51,480 Speaker 1: no outdoor out there in Wisconsin anyways, exactly, No, No, 412 00:18:51,640 --> 00:18:53,480 Speaker 1: maybe try and hide some in the cornfield somewhere. But 413 00:18:53,600 --> 00:18:55,920 Speaker 1: but but uh but yeah, so so you know in 414 00:18:56,080 --> 00:18:59,000 Speaker 1: in you know, outdoor cannabis never had to be sprayed 415 00:18:59,040 --> 00:19:01,000 Speaker 1: for so much. So don't know, outdoor cannabis was a 416 00:19:01,040 --> 00:19:03,560 Speaker 1: little bit cleaner before all this went down. Anyways, you know, 417 00:19:03,640 --> 00:19:05,840 Speaker 1: indoor everything, you know, you get a little bit of 418 00:19:05,960 --> 00:19:08,160 Speaker 1: a mighty infestation and now you're you're nuke in the room. 419 00:19:08,240 --> 00:19:10,720 Speaker 1: But but the thing is is is pesticides over time. 420 00:19:11,000 --> 00:19:13,720 Speaker 1: So it's since you're inhaling cannabis, it's going directly into 421 00:19:13,760 --> 00:19:16,840 Speaker 1: your lungs. Like, it's very different. It's much it's much 422 00:19:17,840 --> 00:19:20,840 Speaker 1: easier absorbed by the body rather than if you eat 423 00:19:21,119 --> 00:19:23,680 Speaker 1: like say, like you know, berries with pesticides on them. 424 00:19:23,720 --> 00:19:26,480 Speaker 1: So the fact that you're inhaling the product makes the 425 00:19:26,600 --> 00:19:28,840 Speaker 1: safety of it much more important because it's going right 426 00:19:28,840 --> 00:19:30,560 Speaker 1: into your blood system, it's going right to your lungs, 427 00:19:31,000 --> 00:19:33,560 Speaker 1: So you should have some sort of quality control. And 428 00:19:33,600 --> 00:19:35,520 Speaker 1: I would say, like our food should, you know, the 429 00:19:35,600 --> 00:19:37,879 Speaker 1: rest of the things we consume should be tested more 430 00:19:37,880 --> 00:19:40,840 Speaker 1: because also you know and so so you've got pesticides, 431 00:19:40,840 --> 00:19:43,919 Speaker 1: you've got heavy metals potentially um and and it's good 432 00:19:43,960 --> 00:19:45,840 Speaker 1: that we're testing now. Like we found early on as 433 00:19:45,880 --> 00:19:47,800 Speaker 1: soon as as soon as the heavy metal regulations started 434 00:19:47,840 --> 00:19:50,000 Speaker 1: in California, California was the first date to institute them, 435 00:19:50,240 --> 00:19:52,480 Speaker 1: found out that every single vape cartridge on the market 436 00:19:52,560 --> 00:19:54,639 Speaker 1: had let in it. And there was like a one 437 00:19:54,720 --> 00:19:56,880 Speaker 1: month period where everyone is scrambling. There's no one could 438 00:19:57,320 --> 00:19:59,199 Speaker 1: characterist to the market because they couldn't get clean ones. 439 00:19:59,240 --> 00:20:01,320 Speaker 1: And they had a to all the factories in China, 440 00:20:01,400 --> 00:20:03,399 Speaker 1: and it took like two weeks and three weeks and 441 00:20:03,480 --> 00:20:06,560 Speaker 1: problem solved. So what and in costing go up? Nothing 442 00:20:06,640 --> 00:20:08,960 Speaker 1: changed except for that, you know, someone someone is calling 443 00:20:09,040 --> 00:20:10,879 Speaker 1: him on it. And so that's the thing with testing 444 00:20:11,000 --> 00:20:14,320 Speaker 1: is I think, um, you know, just minimizing that exposure 445 00:20:14,400 --> 00:20:16,359 Speaker 1: over time. So it's not like I'm gonna smoke some 446 00:20:16,400 --> 00:20:19,040 Speaker 1: pests side laceweed and I'm gonna fall over. But if 447 00:20:19,080 --> 00:20:21,200 Speaker 1: I do it every day for long enough, you know, 448 00:20:21,280 --> 00:20:23,840 Speaker 1: there's there's high potential for health health effects and you 449 00:20:23,840 --> 00:20:27,040 Speaker 1: wouldn't even maybe attribute them to smoking cannabis every day, 450 00:20:27,119 --> 00:20:30,440 Speaker 1: but um, other things microbiological growth. So you've got yeast, 451 00:20:30,480 --> 00:20:32,600 Speaker 1: you've got molded things like that, and you're you know, 452 00:20:32,840 --> 00:20:34,720 Speaker 1: and you don't want that, you know, getting in your 453 00:20:34,760 --> 00:20:37,359 Speaker 1: lungs if you're if you're uncompromise, and just the kind 454 00:20:37,400 --> 00:20:40,040 Speaker 1: of jet would you find that too? Yeast in molding cannabis. 455 00:20:40,400 --> 00:20:43,320 Speaker 1: So there's all kinds of mold. I mean, you know 456 00:20:43,720 --> 00:20:47,240 Speaker 1: it's funny. It's not funny, it's really sad. But you know, 457 00:20:47,560 --> 00:20:52,320 Speaker 1: I've I've seen people you're likely see it. I mean 458 00:20:52,640 --> 00:20:54,119 Speaker 1: you see it on their plants and I'm like, why 459 00:20:54,160 --> 00:20:56,159 Speaker 1: don't you chop that? Oh no, I'm just cleaning up, 460 00:20:56,200 --> 00:20:59,320 Speaker 1: and you know, like whoa dude, And I mean it's bad. 461 00:20:59,400 --> 00:21:02,280 Speaker 1: I mean's the point where when when we didn't know 462 00:21:02,600 --> 00:21:04,879 Speaker 1: there was mold, people used to think it was crystals 463 00:21:04,960 --> 00:21:07,200 Speaker 1: and be like, oh, this is fire, bro, and it 464 00:21:07,240 --> 00:21:11,200 Speaker 1: would just be mold. And and then there's there's tricks 465 00:21:11,320 --> 00:21:14,240 Speaker 1: you like spray it with like sugar water to crystallize it, 466 00:21:14,320 --> 00:21:17,040 Speaker 1: remember that, and yeah, make it make it look prettier 467 00:21:17,400 --> 00:21:19,680 Speaker 1: on the outside. So I mean, it's just there was 468 00:21:19,760 --> 00:21:22,159 Speaker 1: some shitty ship going on and and I. And it 469 00:21:22,320 --> 00:21:24,359 Speaker 1: was because you had to get your money back, you know. 470 00:21:24,440 --> 00:21:26,240 Speaker 1: It was like, you know, there was no there was 471 00:21:26,280 --> 00:21:28,399 Speaker 1: no regulation. It was just and it was and not 472 00:21:28,480 --> 00:21:30,439 Speaker 1: only that, you probably smoke it too. You'd be like, oh, 473 00:21:30,480 --> 00:21:32,080 Speaker 1: it's not that bad, and clean it a little bit, 474 00:21:32,320 --> 00:21:35,760 Speaker 1: blow it off, and it's it's cool. Yeah, but it's 475 00:21:35,800 --> 00:21:37,480 Speaker 1: not cool. But it's not cool. I mean you know 476 00:21:37,680 --> 00:21:41,159 Speaker 1: that's the growing Yeah. Yeah, And in PARTI, MILDI is 477 00:21:41,200 --> 00:21:42,879 Speaker 1: probably what you're mostly dealing with. And and and not 478 00:21:43,080 --> 00:21:44,879 Speaker 1: all molds are bad. So like the nice thing that 479 00:21:44,960 --> 00:21:47,240 Speaker 1: California did or the smart thing they did and that 480 00:21:47,320 --> 00:21:50,360 Speaker 1: a lot of other states have done, is only required 481 00:21:50,440 --> 00:21:52,880 Speaker 1: testing for the specific types of molden bacteria that makes 482 00:21:52,880 --> 00:21:55,639 Speaker 1: you sick. Aspergillis we're doing four spieces of Aspergillis for 483 00:21:55,640 --> 00:21:59,160 Speaker 1: the compliance panel and UH California, and then we're also 484 00:21:59,160 --> 00:22:01,960 Speaker 1: doing salmon alonique a lie which give you food poison. So, Josh, 485 00:22:02,000 --> 00:22:05,040 Speaker 1: when you say you know, make you sick, you know, um, 486 00:22:05,960 --> 00:22:08,639 Speaker 1: and you're looking at the actual the molds you know? 487 00:22:08,960 --> 00:22:12,000 Speaker 1: Is that powder? Would that be powder? Mildew? Powder mold? 488 00:22:12,200 --> 00:22:14,080 Speaker 1: Is that that doesn't even get you sick? Which ones? 489 00:22:14,200 --> 00:22:15,639 Speaker 1: I mean, I know which ones it is, you just 490 00:22:15,720 --> 00:22:17,720 Speaker 1: said it, But I mean, how do you you identify 491 00:22:17,800 --> 00:22:20,359 Speaker 1: and just pull out the h I don't know what 492 00:22:20,480 --> 00:22:24,320 Speaker 1: the terminology? Well, Aspergillus is like your typical black mold 493 00:22:24,359 --> 00:22:25,800 Speaker 1: that would be growing in your walls that you have 494 00:22:25,840 --> 00:22:27,320 Speaker 1: to tear out all your walls and stuff like that. 495 00:22:27,600 --> 00:22:29,920 Speaker 1: Does that come on plant? So it can so, but 496 00:22:30,000 --> 00:22:32,040 Speaker 1: but very rarely, well maybe two percent of the samples 497 00:22:32,119 --> 00:22:34,000 Speaker 1: we see come back positive for for one of the 498 00:22:34,080 --> 00:22:36,000 Speaker 1: four species we're testing forward and but you're not really 499 00:22:36,040 --> 00:22:37,280 Speaker 1: going to see it with the naked eye because it's 500 00:22:37,320 --> 00:22:39,119 Speaker 1: usually not gonna infest the plant to that level, but 501 00:22:39,200 --> 00:22:42,480 Speaker 1: small amounts can be. Yeah, they have toxins, so so 502 00:22:42,600 --> 00:22:45,720 Speaker 1: some asper jolis produced toxins that are directly you know, uh, 503 00:22:45,960 --> 00:22:49,440 Speaker 1: you know, dangerous for you. But then also you have, um, 504 00:22:49,920 --> 00:22:52,200 Speaker 1: you have some of them that that will actually infect 505 00:22:52,240 --> 00:22:54,480 Speaker 1: your lungs if you're like immunocompromise that you've cancer and 506 00:22:54,480 --> 00:22:56,680 Speaker 1: you're in chemotherapy or something like that can kill you. 507 00:22:57,640 --> 00:22:59,960 Speaker 1: So um. So yeah, so it's important and it's it's 508 00:23:00,040 --> 00:23:02,520 Speaker 1: relatively rare. Um. But we use like we we we 509 00:23:02,640 --> 00:23:04,879 Speaker 1: use what's called PCR, so we actually look for the 510 00:23:05,000 --> 00:23:09,359 Speaker 1: DNA of those specipecific species of Aspergillus in the plant material. 511 00:23:09,400 --> 00:23:11,000 Speaker 1: So we do like a DNA extraction and then we 512 00:23:11,280 --> 00:23:13,800 Speaker 1: measure the DNA. Fantastic, man. I want to thank you 513 00:23:13,880 --> 00:23:16,880 Speaker 1: for for taking your expertise and bringing it to this industry, 514 00:23:17,320 --> 00:23:19,760 Speaker 1: you know, because I think, you know, it's it's super 515 00:23:19,800 --> 00:23:23,760 Speaker 1: important for us to have professionals that have degrees that 516 00:23:24,040 --> 00:23:27,280 Speaker 1: understand how to operate you know, companies and scale and 517 00:23:27,400 --> 00:23:29,880 Speaker 1: things like that. So we got a real scientists like him, 518 00:23:29,960 --> 00:23:31,840 Speaker 1: like a real biologist like you you know what I mean, 519 00:23:31,920 --> 00:23:34,280 Speaker 1: Like people who really cared that much that had that 520 00:23:34,600 --> 00:23:37,200 Speaker 1: first job and have the degree and the credit like 521 00:23:37,359 --> 00:23:40,240 Speaker 1: you can work in any pharmaceutical company green Bay Packer. Yeah, 522 00:23:40,280 --> 00:23:42,680 Speaker 1: and and he was he was an outside linebacker for 523 00:23:42,720 --> 00:23:45,040 Speaker 1: the Green Bay Packers. He gave up his NFL career 524 00:23:45,280 --> 00:23:48,520 Speaker 1: to be here. Yeah, I did give it up, my 525 00:23:48,600 --> 00:23:55,800 Speaker 1: sacrifice but but yeah, yeah, and sacrifice. But and and 526 00:23:55,920 --> 00:23:58,199 Speaker 1: and and now there's a you know, there's a lot 527 00:23:58,240 --> 00:24:01,119 Speaker 1: of scientists in the industry, and you know, the industry 528 00:24:01,200 --> 00:24:03,639 Speaker 1: is getting so much more sophisticated from that aspect, but 529 00:24:04,280 --> 00:24:06,639 Speaker 1: early on there wasn't. And so that that that's maybe 530 00:24:06,720 --> 00:24:08,840 Speaker 1: the only secret sauce I had is I had the 531 00:24:08,840 --> 00:24:10,960 Speaker 1: balls to get in early. And uh um, And I've 532 00:24:11,000 --> 00:24:12,600 Speaker 1: been here so gotten to see, like you know, from 533 00:24:12,640 --> 00:24:15,399 Speaker 1: the laboratory perspective, everyone comes to the lab so you 534 00:24:15,520 --> 00:24:18,000 Speaker 1: kind of get you get this like really cool advantage 535 00:24:18,000 --> 00:24:20,240 Speaker 1: point to see this industry kind of grow from where 536 00:24:20,560 --> 00:24:22,320 Speaker 1: it started to where it is today. Well, as you said, 537 00:24:22,359 --> 00:24:24,159 Speaker 1: having the balls to get into it this early. And 538 00:24:24,240 --> 00:24:28,520 Speaker 1: I want to see how your family accepted that, your 539 00:24:28,600 --> 00:24:31,680 Speaker 1: friends from Green Bay, where it wasn't it was tabooish, 540 00:24:31,720 --> 00:24:34,600 Speaker 1: you know what I'm saying. And your dad's an engineer 541 00:24:34,680 --> 00:24:37,240 Speaker 1: and maybe as in our electrician excuse me, an engineer, 542 00:24:37,560 --> 00:24:39,359 Speaker 1: maybe he smoked. But I don't know how did the 543 00:24:39,440 --> 00:24:42,320 Speaker 1: family go, Oh, my god, my son's taking this great 544 00:24:42,400 --> 00:24:45,479 Speaker 1: college degree from Wisconsin and from Green Bay and all 545 00:24:45,560 --> 00:24:48,200 Speaker 1: these big colleges we sent them to. And you're getting 546 00:24:48,240 --> 00:24:51,680 Speaker 1: into the cannabis space something, what's wrong with you? Yeah? 547 00:24:51,680 --> 00:24:53,399 Speaker 1: They thought had They thought I had gone straight and 548 00:24:53,680 --> 00:24:55,879 Speaker 1: you know, working working mainstream for a few years, and 549 00:24:55,920 --> 00:24:57,239 Speaker 1: then I went right back to it. Yeah, I mean 550 00:24:57,320 --> 00:24:59,600 Speaker 1: early on, that's another thing that's sort of evolved. You know, 551 00:24:59,680 --> 00:25:02,440 Speaker 1: early on, there was certain, um, certain people back home 552 00:25:02,480 --> 00:25:03,960 Speaker 1: that were really excited about it, thought it was pretty 553 00:25:04,000 --> 00:25:05,199 Speaker 1: much the coolest thing ever. And then there's a lot 554 00:25:05,240 --> 00:25:07,600 Speaker 1: of people who are you know, thought I was Yeah, 555 00:25:07,600 --> 00:25:09,159 Speaker 1: I thought I was like the drug dealer, and and 556 00:25:09,359 --> 00:25:10,920 Speaker 1: and you know, it's showned me and and and you know, 557 00:25:11,000 --> 00:25:13,760 Speaker 1: but then your friended you on Facebook. I'm not going 558 00:25:13,800 --> 00:25:16,600 Speaker 1: to be his friend anymore. Yeah. My my dad, you know, 559 00:25:16,720 --> 00:25:18,600 Speaker 1: he wasn't too warm to it. He's not a smoker, 560 00:25:18,720 --> 00:25:20,600 Speaker 1: and um, you know, but you know, now, I mean 561 00:25:20,640 --> 00:25:22,440 Speaker 1: I've got my found the same family members are coming 562 00:25:22,480 --> 00:25:24,040 Speaker 1: up and be like, hey, which CBD should I take? 563 00:25:25,400 --> 00:25:27,639 Speaker 1: So they're all asking for advice, like you're the doctor, 564 00:25:27,800 --> 00:25:29,960 Speaker 1: like and for me, that's being a scientist, right, And 565 00:25:30,040 --> 00:25:32,920 Speaker 1: it's just not kind of accepting what you're told, looking 566 00:25:33,000 --> 00:25:35,879 Speaker 1: for yourself, you know, finding a hypothesis, testing it out. 567 00:25:35,960 --> 00:25:37,240 Speaker 1: And you know, and I guess said when I first 568 00:25:37,240 --> 00:25:39,920 Speaker 1: smoke Pad, I was like, you know, this is everything 569 00:25:40,000 --> 00:25:41,600 Speaker 1: else They must be a lie too, because I mean this, 570 00:25:41,760 --> 00:25:43,960 Speaker 1: this is clearly not a bad thing. This is helping people. 571 00:25:44,080 --> 00:25:46,399 Speaker 1: And and I never looked at you know, cannabis is 572 00:25:46,440 --> 00:25:49,480 Speaker 1: like you know, anything other than you know, like again, medicine, 573 00:25:49,560 --> 00:25:52,439 Speaker 1: you know something that Joe and I, you know, often 574 00:25:52,680 --> 00:25:56,880 Speaker 1: ask and and we gotta, we really we we really 575 00:25:56,960 --> 00:26:02,399 Speaker 1: want to find out, I guess, is real medical marijuana 576 00:26:02,520 --> 00:26:06,840 Speaker 1: medical cannabis ever be like shaking here, take two of 577 00:26:06,920 --> 00:26:09,920 Speaker 1: these ad bills, take or or even you know, I 578 00:26:10,000 --> 00:26:13,399 Speaker 1: hate to use the terms oxycodon or or viking. And 579 00:26:13,480 --> 00:26:15,879 Speaker 1: will they ever have it based on your weight size, 580 00:26:16,000 --> 00:26:19,560 Speaker 1: based on this dosage and be able to, in your opinion, 581 00:26:19,800 --> 00:26:22,840 Speaker 1: be able to prescribe it in that manner and break 582 00:26:22,920 --> 00:26:25,600 Speaker 1: it down. After this breaks, Cannabis Talk one on one 583 00:26:25,640 --> 00:26:29,400 Speaker 1: will be right back. We'll be right back with Cannabis 584 00:26:29,480 --> 00:26:40,320 Speaker 1: Talk one oh one. Welcome back to Cannabis Talk one 585 00:26:40,359 --> 00:26:43,280 Speaker 1: oh one. Live in life, You crave, rise above ordinary 586 00:26:43,320 --> 00:26:46,400 Speaker 1: weekend playing you guys. With Elevation Nations membership, you'll gain 587 00:26:46,440 --> 00:26:51,200 Speaker 1: access to exclusive events, entertainment, adventure and wellness experience. Visit 588 00:26:51,240 --> 00:26:54,320 Speaker 1: Elevations Nations dot com to learn more. And I want 589 00:26:54,359 --> 00:26:57,719 Speaker 1: to thank everybody over here that's been helping us do everything. Horde, Hey, 590 00:26:57,720 --> 00:26:59,320 Speaker 1: I'm so par as you're not mopping right now while 591 00:26:59,320 --> 00:27:04,520 Speaker 1: the show is going. And Daniel Diego, Caitlin Chance, Becca Michells, 592 00:27:04,640 --> 00:27:08,920 Speaker 1: p Funk, Jessica camp Solar, Ali Cousin, Ray Goldie, my brother, Pitt, 593 00:27:09,040 --> 00:27:12,960 Speaker 1: Mark Carnes, Chris Frankino, Jennifer Erika, and Elvis. Thank you 594 00:27:13,000 --> 00:27:15,800 Speaker 1: guys all for doing what to do. Josh Werger, the 595 00:27:15,880 --> 00:27:18,560 Speaker 1: president and co founder of SC Laboratory, is one of 596 00:27:18,600 --> 00:27:20,680 Speaker 1: the best labs there is in the game We pob 597 00:27:20,760 --> 00:27:23,840 Speaker 1: we went to break. We asked you a pretty elaborate question, 598 00:27:23,960 --> 00:27:27,320 Speaker 1: which to me in blue we've been waiting for the 599 00:27:27,440 --> 00:27:30,760 Speaker 1: day that we see in here. At two hundred pounds, 600 00:27:31,280 --> 00:27:34,359 Speaker 1: you can take like if I was wanting to do 601 00:27:34,480 --> 00:27:37,360 Speaker 1: my advills would be three advils for the little pain 602 00:27:37,440 --> 00:27:40,000 Speaker 1: I have after my golf game. I would love to 603 00:27:40,119 --> 00:27:43,440 Speaker 1: know do you think, as a scientist after a golf 604 00:27:43,560 --> 00:27:46,879 Speaker 1: game if you take this for cannabis for you know, 605 00:27:47,000 --> 00:27:49,960 Speaker 1: two hundred pound mail. This should eliminate the pain that 606 00:27:50,040 --> 00:27:52,000 Speaker 1: you're in and on top of maybe even harder with 607 00:27:52,119 --> 00:27:55,400 Speaker 1: surgery and using the coding and everything else. Blew was saying, Yeah, 608 00:27:55,440 --> 00:27:57,040 Speaker 1: I mean I think that's you know, that's the way 609 00:27:57,080 --> 00:27:59,120 Speaker 1: medicine is going in general, like more and more more 610 00:27:59,240 --> 00:28:03,200 Speaker 1: specialized us an integrated method medicine just for your body type. 611 00:28:03,240 --> 00:28:05,360 Speaker 1: And so I think you know, you can already take 612 00:28:05,440 --> 00:28:08,280 Speaker 1: a take a DNA test, and just based on your 613 00:28:08,359 --> 00:28:11,119 Speaker 1: your DNA um tests, they can you know, sort of 614 00:28:11,480 --> 00:28:14,119 Speaker 1: understanding in some instances which therapeutics might work better for 615 00:28:14,160 --> 00:28:15,960 Speaker 1: you or might not work at all. And I think 616 00:28:16,000 --> 00:28:18,879 Speaker 1: cannabis might get there too. I think with with cannabis um, 617 00:28:18,960 --> 00:28:21,000 Speaker 1: first of all, you have a really complex medicine, you know, 618 00:28:21,080 --> 00:28:23,240 Speaker 1: with with your ib prof and it's it's one molecule, 619 00:28:23,720 --> 00:28:25,720 Speaker 1: one thing. You take it either it works or it 620 00:28:25,760 --> 00:28:28,160 Speaker 1: doesn't work. With cannabis, you sort of have this cocktail 621 00:28:28,240 --> 00:28:31,639 Speaker 1: of bioactive ingredients. All the carnabinoids, they're all bioactive, but 622 00:28:31,640 --> 00:28:33,240 Speaker 1: they don't all do the exact same thing, you know, 623 00:28:33,359 --> 00:28:36,920 Speaker 1: like the CBD blocks the receptors that th C activates 624 00:28:37,040 --> 00:28:39,320 Speaker 1: and um, you know, all the other carnabinoids you know 625 00:28:39,480 --> 00:28:42,280 Speaker 1: some some maybe you know activate the CB one or 626 00:28:42,320 --> 00:28:44,200 Speaker 1: block and block the CB two suits. It's really cool. 627 00:28:44,200 --> 00:28:47,160 Speaker 1: You sort of a cocktail of compounds that all play 628 00:28:47,200 --> 00:28:49,120 Speaker 1: with your endocannabinoid system. And what they're finding is your 629 00:28:49,160 --> 00:28:52,560 Speaker 1: endocannabinoid system. There's at least three or four different types 630 00:28:52,600 --> 00:28:54,880 Speaker 1: of cannabinid receptors in your body and probably even more, 631 00:28:55,280 --> 00:28:58,000 Speaker 1: and they're located all throughout your body. So it's you 632 00:28:58,200 --> 00:29:00,560 Speaker 1: have this really complex system. And I think long term 633 00:29:00,640 --> 00:29:02,640 Speaker 1: that you might be onto it is is you know, 634 00:29:02,720 --> 00:29:05,000 Speaker 1: they draw a little blood test your DNA, kind of 635 00:29:05,400 --> 00:29:08,160 Speaker 1: get get exactly you know what what might or might 636 00:29:08,240 --> 00:29:11,400 Speaker 1: not work for you, and Taylor a cannabinoid based medicine 637 00:29:11,480 --> 00:29:13,440 Speaker 1: for you, and maybe not just cannabinoids to you know, 638 00:29:13,520 --> 00:29:16,440 Speaker 1: other plant medicines. I think cannabis is kind of leading 639 00:29:16,560 --> 00:29:18,800 Speaker 1: us back to some of them, maybe the knowledge we've forgotten, 640 00:29:18,800 --> 00:29:21,040 Speaker 1: you know, so these plant medicines actually worked. We've been 641 00:29:21,120 --> 00:29:23,120 Speaker 1: using them for thousands of years, not just because you know, 642 00:29:23,600 --> 00:29:25,200 Speaker 1: not just because we thought they worked, because you know, 643 00:29:25,280 --> 00:29:27,320 Speaker 1: there was some sort of effect. And I think cannabis 644 00:29:27,400 --> 00:29:31,200 Speaker 1: being such a powerful plant medicine is maybe kind of um, 645 00:29:31,400 --> 00:29:33,719 Speaker 1: you know, uh, shine a light on some of these 646 00:29:33,800 --> 00:29:36,000 Speaker 1: these plant medicines that maybe people thought were kind of 647 00:29:36,040 --> 00:29:38,800 Speaker 1: quacky science or quacky medicine. Um. And then now now 648 00:29:38,840 --> 00:29:41,240 Speaker 1: you're seeing you know, all the pilocybe and stuff happening, 649 00:29:41,240 --> 00:29:43,480 Speaker 1: which is kind of this whole other thing that you know, 650 00:29:43,560 --> 00:29:46,560 Speaker 1: I think is directly attributable to to cannabis. You know. 651 00:29:47,560 --> 00:29:50,720 Speaker 1: Another thought would be, you know, and thank you for 652 00:29:50,840 --> 00:29:55,640 Speaker 1: answering that. You know. Another thought, when back when we 653 00:29:55,720 --> 00:29:58,960 Speaker 1: were growing and and really focusing on, you know, trying 654 00:29:59,000 --> 00:30:00,640 Speaker 1: to put a brand out, you know, because that was 655 00:30:00,720 --> 00:30:02,000 Speaker 1: at first I was like, oh, I'm gonna do a 656 00:30:02,080 --> 00:30:04,280 Speaker 1: brand in this and that I think we were trying 657 00:30:04,320 --> 00:30:08,200 Speaker 1: to grow and get the same exact experience every time 658 00:30:08,480 --> 00:30:11,040 Speaker 1: you take the same hit like a like a cigarette 659 00:30:11,120 --> 00:30:15,680 Speaker 1: or like a Coca cola for example. Is that possible? Yeah, 660 00:30:15,920 --> 00:30:20,080 Speaker 1: you think with the strains because I have seen you know, 661 00:30:20,480 --> 00:30:22,800 Speaker 1: let's call it, you know, purple work or whatever the 662 00:30:22,880 --> 00:30:26,720 Speaker 1: brand is or whatever, you know, let's go more. You know, um, 663 00:30:27,080 --> 00:30:29,520 Speaker 1: you know, whatever pem dog or something. You know, you 664 00:30:29,680 --> 00:30:32,200 Speaker 1: look at a chem dog strain, there's a million different ones. 665 00:30:32,240 --> 00:30:34,880 Speaker 1: But if it's kem Dog ninety one, and if it's 666 00:30:34,920 --> 00:30:38,040 Speaker 1: actually that cam dog, can you get the same exact 667 00:30:38,120 --> 00:30:42,640 Speaker 1: experience every time you grow and smoke that plant? From science? Yeah, 668 00:30:42,800 --> 00:30:47,520 Speaker 1: I mean it's you'd be surprised how consistent certain growers 669 00:30:47,840 --> 00:30:51,720 Speaker 1: are with with with the genetic and most genetics hold true. 670 00:30:51,840 --> 00:30:54,280 Speaker 1: You know, you're you're gonna the grower's gonna affect the yield, 671 00:30:54,640 --> 00:30:56,640 Speaker 1: and the grower can certainly mess it up in during 672 00:30:56,720 --> 00:30:59,680 Speaker 1: harvest and drying and caring, I think. But as the 673 00:30:59,720 --> 00:31:03,520 Speaker 1: plan it's growing, UM, you know, they're remarkably uniform. There 674 00:31:03,600 --> 00:31:05,480 Speaker 1: isn't as much variance in in a in a given 675 00:31:05,520 --> 00:31:08,520 Speaker 1: strain as you think there might be. UM. But you know, 676 00:31:08,640 --> 00:31:11,320 Speaker 1: it's it's hard to standardize the natural product. But I think, 677 00:31:11,400 --> 00:31:13,280 Speaker 1: you know, we've certainly seen a lot more of that 678 00:31:13,360 --> 00:31:16,840 Speaker 1: as some of these grows have become more standardized and sophisticated. UM. 679 00:31:17,200 --> 00:31:19,000 Speaker 1: But that's on the chirpeans and then with with you 680 00:31:19,080 --> 00:31:21,320 Speaker 1: know products, especially with like you know distal it's in 681 00:31:21,680 --> 00:31:25,120 Speaker 1: vape cartridges where essentially distilling the THHC or the carnabinoids 682 00:31:25,120 --> 00:31:27,840 Speaker 1: and then adding back your chirpeens. UM. People who do 683 00:31:27,960 --> 00:31:29,440 Speaker 1: that right, can get a lot, can get you know, 684 00:31:29,560 --> 00:31:31,880 Speaker 1: good consistency. But the chirpeans are volatile. It's easy to 685 00:31:31,960 --> 00:31:34,680 Speaker 1: mess those up if you're processing them. Um, you know, 686 00:31:34,760 --> 00:31:36,760 Speaker 1: and in the chirpeans that would give cannabis it's flavor, 687 00:31:36,840 --> 00:31:38,840 Speaker 1: it's a roma, and then kind of you know, give 688 00:31:38,880 --> 00:31:41,560 Speaker 1: it the unique effects you know where where. So so 689 00:31:42,080 --> 00:31:45,280 Speaker 1: there's you know, literally dozens of different chirpeons that cannabis 690 00:31:45,320 --> 00:31:48,120 Speaker 1: can produce, but there's really only six or seven that 691 00:31:48,240 --> 00:31:50,080 Speaker 1: they produce. You know that that show up is sort 692 00:31:50,120 --> 00:31:52,400 Speaker 1: of the dominant cannabinant in the plant. You can really 693 00:31:52,440 --> 00:31:56,400 Speaker 1: sort cannabis into like four broad categories based on their 694 00:31:56,480 --> 00:31:58,960 Speaker 1: chirpeans and so um. And then you know, in a 695 00:31:59,040 --> 00:32:00,760 Speaker 1: lot of it kind of ups with what people I 696 00:32:00,800 --> 00:32:03,400 Speaker 1: think have called Indica sativa. So um, you know, an 697 00:32:03,440 --> 00:32:06,360 Speaker 1: indica strain. You know, even though everything is hybrid now, 698 00:32:06,480 --> 00:32:08,240 Speaker 1: but what what people put on the shelf is in 699 00:32:08,280 --> 00:32:10,840 Speaker 1: Indica is usually that that coach lock is gonna make 700 00:32:10,880 --> 00:32:14,160 Speaker 1: you sleepy. Well, what we find is that's mostly mercy, 701 00:32:14,240 --> 00:32:16,560 Speaker 1: which is a chirpy it's it's in mercy. This is 702 00:32:16,600 --> 00:32:18,880 Speaker 1: a non sedative. And the strains that tend to have 703 00:32:19,000 --> 00:32:21,200 Speaker 1: a lot of mercy are the ones that make you sleepy. 704 00:32:21,240 --> 00:32:23,640 Speaker 1: If there's no mercy and present in in in the cannabis, 705 00:32:23,720 --> 00:32:26,000 Speaker 1: in produce an even mercy, it's it's going to be 706 00:32:26,080 --> 00:32:28,520 Speaker 1: more of an upper effect. So so you know that 707 00:32:29,200 --> 00:32:30,760 Speaker 1: also plays a big part in it too. It's not 708 00:32:30,840 --> 00:32:33,480 Speaker 1: just the cannabinoids, but really standardizing the chirpeans is the 709 00:32:33,560 --> 00:32:36,280 Speaker 1: key for for you know, growing good cannabis or for 710 00:32:36,400 --> 00:32:39,880 Speaker 1: making good inhalable cannabis products. It's all about the chirpeans. Like, um, 711 00:32:39,960 --> 00:32:41,840 Speaker 1: you brought up purple urkle, you know that stream tested 712 00:32:41,880 --> 00:32:45,200 Speaker 1: like four it's you know, there's no original purple orkle 713 00:32:45,200 --> 00:32:47,080 Speaker 1: anymore because no one grow up because it's fourteen percent. 714 00:32:47,120 --> 00:32:49,400 Speaker 1: But that had a great taste and great flavor. People 715 00:32:49,480 --> 00:32:51,040 Speaker 1: loved it back then. I think that's one of them, 716 00:32:51,080 --> 00:32:54,240 Speaker 1: like that that those highs like I enjoy. You know, 717 00:32:54,680 --> 00:32:59,720 Speaker 1: I don't want to, you know, get bleds anymore. For 718 00:33:00,440 --> 00:33:01,920 Speaker 1: forty four. I want to I want to just I 719 00:33:01,960 --> 00:33:04,040 Speaker 1: want to smoke something and just feel good and be 720 00:33:04,120 --> 00:33:06,120 Speaker 1: able to work or or be able to take a 721 00:33:06,240 --> 00:33:08,520 Speaker 1: nice nap. But I don't want to be waking up 722 00:33:08,600 --> 00:33:11,600 Speaker 1: like dude, I'm still dragging because that was you know, uh, 723 00:33:11,920 --> 00:33:14,280 Speaker 1: thirty four or fifty or whatever the hell that the 724 00:33:14,360 --> 00:33:17,600 Speaker 1: highest is, what's the highest you've ever seen tested? Um? Well, 725 00:33:18,000 --> 00:33:20,320 Speaker 1: from from our lab. I've seen some crazy numbers from 726 00:33:20,400 --> 00:33:22,000 Speaker 1: from you know that That's one of the things that 727 00:33:22,600 --> 00:33:25,160 Speaker 1: that that's challenging is a testing lab is a lot 728 00:33:25,240 --> 00:33:27,320 Speaker 1: of people are are giving high results because that's what 729 00:33:27,480 --> 00:33:30,520 Speaker 1: people are are valuing cannabis on, and so they're they're 730 00:33:30,560 --> 00:33:32,640 Speaker 1: moving the numbers rough. Yeah, I mean that's that's that's 731 00:33:32,720 --> 00:33:36,480 Speaker 1: kind of happened at places. Yeah, it happens everywhere. And 732 00:33:36,600 --> 00:33:38,920 Speaker 1: so um, you know, and we're we're we've been around forever, 733 00:33:39,000 --> 00:33:41,120 Speaker 1: and we're around for you know, seven or eight years 734 00:33:41,120 --> 00:33:43,120 Speaker 1: before we had regulations, and so you know, our our 735 00:33:43,200 --> 00:33:45,040 Speaker 1: word was what we had we traded on, you know, 736 00:33:45,120 --> 00:33:47,240 Speaker 1: and so that's never been an option for us. But 737 00:33:47,280 --> 00:33:49,719 Speaker 1: I mean, legitimately, you can get in high thirties, um, 738 00:33:49,920 --> 00:33:53,360 Speaker 1: you know, and and and U especially now that we're 739 00:33:53,680 --> 00:33:55,000 Speaker 1: we're correcting that. But that's what I was gonna say 740 00:33:55,000 --> 00:33:56,440 Speaker 1: about the purple racal too, and it kind of ties 741 00:33:56,520 --> 00:33:59,120 Speaker 1: back is I think that's the real disservice that the 742 00:33:59,440 --> 00:34:02,160 Speaker 1: that the UM testing labs have done to the industry. 743 00:34:02,160 --> 00:34:04,080 Speaker 1: I think the testing labs have been great for the industry. Um, 744 00:34:04,160 --> 00:34:06,280 Speaker 1: all of the infused edible products won't even be possible 745 00:34:06,320 --> 00:34:08,239 Speaker 1: if you didn't have testing labs. Remember back in the 746 00:34:08,320 --> 00:34:09,719 Speaker 1: day where you just kind of make some with some 747 00:34:09,840 --> 00:34:12,040 Speaker 1: butter and soaking and you never even knew, you know, 748 00:34:12,200 --> 00:34:13,960 Speaker 1: like I don't didn't like edibles because I was like, 749 00:34:14,000 --> 00:34:15,640 Speaker 1: I take one, not feel anything. I could take one 750 00:34:15,680 --> 00:34:17,800 Speaker 1: and be on the floor. But but I think I 751 00:34:17,880 --> 00:34:20,120 Speaker 1: think you know what we've done is we've turned cannabis 752 00:34:20,160 --> 00:34:22,320 Speaker 1: into like that. The THHD value is supposed to be 753 00:34:22,320 --> 00:34:24,920 Speaker 1: the quality indicator, and it's not. For me, it's the chirpeans. 754 00:34:25,000 --> 00:34:27,200 Speaker 1: I you know, like you said, I'll smoke a fourteen percent, 755 00:34:27,320 --> 00:34:28,839 Speaker 1: I'll just hold it in a little bit longer, smoke 756 00:34:28,880 --> 00:34:30,920 Speaker 1: a little actually the joint. I like doing that, but 757 00:34:31,280 --> 00:34:33,359 Speaker 1: it's typeines. But it's a chirpean. So like the real 758 00:34:33,480 --> 00:34:36,000 Speaker 1: quality indicator of cannabis that that a testing lab can 759 00:34:36,040 --> 00:34:40,160 Speaker 1: tell you, um, is the is the overall chirping content 760 00:34:40,239 --> 00:34:42,080 Speaker 1: that's gonna give us this flavor, that's gonna give it 761 00:34:42,120 --> 00:34:45,120 Speaker 1: to roma. And and so for me, if if I'm 762 00:34:45,160 --> 00:34:48,400 Speaker 1: growing cannabis, my number one job is to to preserve 763 00:34:48,480 --> 00:34:50,640 Speaker 1: those chirpeans at all costs. And they all evaporate. They 764 00:34:50,640 --> 00:34:52,760 Speaker 1: all evaporate at you know, just a little over room temperature, 765 00:34:52,800 --> 00:34:55,880 Speaker 1: so it's not easy. You know. Um, I want to 766 00:34:55,920 --> 00:34:58,200 Speaker 1: bring something up that you know, I feel like you 767 00:34:59,200 --> 00:35:03,719 Speaker 1: were pivotal in, which was the California State Fair. Um, 768 00:35:04,040 --> 00:35:05,560 Speaker 1: you know, would you tell us a little bit about 769 00:35:05,560 --> 00:35:08,360 Speaker 1: what you did, because I think the first ever to 770 00:35:08,520 --> 00:35:12,120 Speaker 1: ever actually go out and convince them or help convince 771 00:35:12,200 --> 00:35:15,719 Speaker 1: convince the same cannabis in there. Yeah, and Teddy's got 772 00:35:16,080 --> 00:35:19,800 Speaker 1: we got a new guest on the show, Teddy's Question, 773 00:35:23,200 --> 00:35:26,600 Speaker 1: Joe's Dogs here with us today, Teddy's to go to 774 00:35:26,640 --> 00:35:29,440 Speaker 1: the YouTube. Can you tell us a little bit about 775 00:35:29,560 --> 00:35:33,000 Speaker 1: you know how important that was and and um, you know, 776 00:35:33,200 --> 00:35:36,200 Speaker 1: groundbreaking for for our industry to to bring cannabis and 777 00:35:36,280 --> 00:35:38,359 Speaker 1: how you got it done and how you made it happen. Yeah. 778 00:35:38,440 --> 00:35:42,000 Speaker 1: So so um uh they came to us basically, Um, 779 00:35:42,120 --> 00:35:45,359 Speaker 1: the group that that got basically talked the State Fair 780 00:35:45,400 --> 00:35:47,759 Speaker 1: into into allowing cannabis. And you know they couldn't do 781 00:35:48,120 --> 00:35:50,120 Speaker 1: um judging just kind of a lot of the logistics. 782 00:35:50,440 --> 00:35:53,040 Speaker 1: They couldn't have live judging and so UM. They know 783 00:35:53,239 --> 00:35:54,720 Speaker 1: some of the work we've done for that the Emerald 784 00:35:54,760 --> 00:35:56,840 Speaker 1: Cup and and and part of that is the chirping thing. 785 00:35:56,920 --> 00:36:00,120 Speaker 1: So we we put the different entries into class is 786 00:36:00,160 --> 00:36:03,040 Speaker 1: based on their their their Chirpean category like and then 787 00:36:03,560 --> 00:36:06,560 Speaker 1: within that category, we were able to find the best 788 00:36:06,600 --> 00:36:09,120 Speaker 1: based on kind of overall chirping content. So we we 789 00:36:09,480 --> 00:36:12,160 Speaker 1: basically used our lab tests to sort and then to 790 00:36:12,320 --> 00:36:15,320 Speaker 1: rank the entries into the into the UM into the 791 00:36:15,400 --> 00:36:18,000 Speaker 1: State Fair, and and you know, hopefully at some point 792 00:36:18,040 --> 00:36:19,960 Speaker 1: we'll combine that with live judging. I think the most 793 00:36:20,000 --> 00:36:22,120 Speaker 1: powerful is like what the Animal Cup does where they 794 00:36:22,160 --> 00:36:24,399 Speaker 1: combined the data and they've been doing that for they've 795 00:36:24,400 --> 00:36:26,040 Speaker 1: been testing with us as like a first job back 796 00:36:26,080 --> 00:36:29,799 Speaker 1: in two thousand and ten. UM. Yeah, yeah, because yeah, 797 00:36:29,880 --> 00:36:31,880 Speaker 1: when we were good friends with Tim Blake, who who 798 00:36:32,000 --> 00:36:35,120 Speaker 1: who started Taylor's Daughter and so um that was our 799 00:36:35,120 --> 00:36:37,080 Speaker 1: first gig back in two thousand tents. So they're the first, 800 00:36:37,280 --> 00:36:39,319 Speaker 1: they're they're one of the first events that would would 801 00:36:39,320 --> 00:36:41,759 Speaker 1: do testing. UM. But but back to the State Fair, 802 00:36:41,800 --> 00:36:44,120 Speaker 1: so we were just really excited to be involved because 803 00:36:44,160 --> 00:36:46,120 Speaker 1: you know, the state fairs where the whole agri cultural 804 00:36:46,160 --> 00:36:48,040 Speaker 1: community comes to kind of show off their best, you know, 805 00:36:48,160 --> 00:36:51,200 Speaker 1: and it's really cool to have cannabis included in with 806 00:36:51,320 --> 00:36:53,520 Speaker 1: the rest of the ager cultural goods. Um. It's certainly 807 00:36:53,600 --> 00:36:56,759 Speaker 1: a major crop for California. And and then also, um, 808 00:36:56,880 --> 00:36:58,800 Speaker 1: it was just you know, just groundbreaking for kind of 809 00:36:58,880 --> 00:37:00,520 Speaker 1: you know, just another one of those things that we've 810 00:37:00,560 --> 00:37:03,080 Speaker 1: seen along the lay. We're like, oh, we're being accepted, 811 00:37:03,120 --> 00:37:05,440 Speaker 1: We're going mainstream for better or worse, and and and 812 00:37:05,680 --> 00:37:07,480 Speaker 1: uh um. But but yeah, it was an honor to 813 00:37:07,520 --> 00:37:09,360 Speaker 1: get to participate. It went off without a hitch. I 814 00:37:09,440 --> 00:37:12,040 Speaker 1: was I was hoping that um, you know they you know, 815 00:37:12,520 --> 00:37:15,239 Speaker 1: judging just based on test results, UM, would go well. 816 00:37:15,320 --> 00:37:17,120 Speaker 1: And people seem to think it was pretty cool. And 817 00:37:17,239 --> 00:37:19,359 Speaker 1: so um, you know, we'll be working with them again 818 00:37:19,480 --> 00:37:22,280 Speaker 1: this coming year. And and just really excited about about 819 00:37:22,320 --> 00:37:25,080 Speaker 1: that opportunity and the fact that just cannabis. Did they 820 00:37:25,080 --> 00:37:27,400 Speaker 1: actually have flower there or just the plants or did 821 00:37:27,440 --> 00:37:31,160 Speaker 1: they have both all? Yeah, And they had a whole 822 00:37:31,200 --> 00:37:33,239 Speaker 1: they had a whole building dedicated to cannabis, and they 823 00:37:33,280 --> 00:37:35,440 Speaker 1: had a really good you know wall of with all 824 00:37:35,520 --> 00:37:37,759 Speaker 1: kinds of graphics on it and teaching about cannabis for 825 00:37:37,760 --> 00:37:40,560 Speaker 1: anyone who's coming through the fair. Um you know, all 826 00:37:40,600 --> 00:37:42,839 Speaker 1: the all the all the flowers behind the glass case, 827 00:37:42,840 --> 00:37:44,239 Speaker 1: they had a couple of plants growing and there it was. 828 00:37:44,280 --> 00:37:46,160 Speaker 1: It's really really cool set up and they just want 829 00:37:46,239 --> 00:37:48,160 Speaker 1: full ham. You know, they didn't have on site consumption, 830 00:37:48,239 --> 00:37:50,920 Speaker 1: but maybe someday. Yeah, I mean they definitely had the 831 00:37:50,960 --> 00:37:54,240 Speaker 1: beer there though someone smoked. Yeah, I saw people consuming, 832 00:37:54,320 --> 00:37:57,279 Speaker 1: and I mean you can't stop consumption anywhere and this 833 00:37:57,440 --> 00:38:00,279 Speaker 1: goes down everywhere. Jo I'm so curious, jous, is there 834 00:38:00,360 --> 00:38:03,400 Speaker 1: anything that you've ever tested a plant or as you 835 00:38:03,760 --> 00:38:06,600 Speaker 1: you know, are the mad scientists that you are, and go, wow, 836 00:38:06,800 --> 00:38:09,080 Speaker 1: I didn't know cannabis had this, or look what we 837 00:38:09,239 --> 00:38:12,120 Speaker 1: found and let's explore more. But maybe it's gonna take 838 00:38:12,160 --> 00:38:14,160 Speaker 1: you too long or too much time and effort if 839 00:38:14,200 --> 00:38:16,480 Speaker 1: it's not paying you to to check. But it's like, 840 00:38:17,080 --> 00:38:18,920 Speaker 1: is there something that you've been because it's it's one 841 00:38:18,960 --> 00:38:22,160 Speaker 1: of the things that I get so overwhelmed about. Meaning, 842 00:38:22,560 --> 00:38:25,080 Speaker 1: I've heard so much about this plant, of what it 843 00:38:25,160 --> 00:38:27,000 Speaker 1: does and how many new molecules and how many of 844 00:38:27,120 --> 00:38:28,880 Speaker 1: this and it's still infantyl of what it can do. 845 00:38:29,040 --> 00:38:31,520 Speaker 1: They don't know yet as much as it can do. 846 00:38:31,600 --> 00:38:34,320 Speaker 1: Because now here's a new cb D E leven cb 847 00:38:34,520 --> 00:38:36,399 Speaker 1: G this and all this and all that, and it's 848 00:38:36,440 --> 00:38:40,080 Speaker 1: like always something new is coming out, and uh, is 849 00:38:40,120 --> 00:38:41,840 Speaker 1: there anything that you ever found that you were like, 850 00:38:41,920 --> 00:38:44,239 Speaker 1: holy smokes, I can't believe the plant is doing this 851 00:38:44,400 --> 00:38:46,600 Speaker 1: or I found this in it. Well, okay, so one 852 00:38:46,719 --> 00:38:48,800 Speaker 1: one is an old story, but it was back two thousand, 853 00:38:49,080 --> 00:38:51,399 Speaker 1: two thousand, eight thousand when I was working at steep Hill. 854 00:38:51,520 --> 00:38:52,879 Speaker 1: And you know, it's kind of a boring job because 855 00:38:52,880 --> 00:38:54,320 Speaker 1: at the time, all we tested his cannabino and is 856 00:38:54,360 --> 00:38:57,359 Speaker 1: on We tested as THC, CBD and CBM and then 857 00:38:57,600 --> 00:39:00,600 Speaker 1: UM and and so basically I'll just looking at samples 858 00:39:00,640 --> 00:39:02,920 Speaker 1: every day with you know, different amounts of THHC and them, 859 00:39:02,920 --> 00:39:04,880 Speaker 1: and then all of a sudden one came through and 860 00:39:05,120 --> 00:39:07,200 Speaker 1: oh there's something else in here at CBD. And that 861 00:39:07,320 --> 00:39:09,400 Speaker 1: was the first high CBD strain that was really available 862 00:39:09,400 --> 00:39:11,680 Speaker 1: in the medical market. They sold it at Harbor Side. 863 00:39:11,680 --> 00:39:14,800 Speaker 1: It was like an O G crossed with yeah. And 864 00:39:14,880 --> 00:39:16,480 Speaker 1: that was and that kind of started the whole They 865 00:39:16,520 --> 00:39:18,080 Speaker 1: they and we call them up and like, you know, 866 00:39:18,160 --> 00:39:20,560 Speaker 1: you have something special here UM. And then after that 867 00:39:20,719 --> 00:39:23,080 Speaker 1: you had you know, Harlequin and a couple of other strains, 868 00:39:23,120 --> 00:39:25,680 Speaker 1: but back then, like CBD people and put two and 869 00:39:25,719 --> 00:39:27,560 Speaker 1: two together and just when got some hemp seeds and 870 00:39:27,760 --> 00:39:30,520 Speaker 1: get some CBD. But so, you know, but back then 871 00:39:30,600 --> 00:39:33,319 Speaker 1: that was rare. People are getting five thousand a pound 872 00:39:33,440 --> 00:39:37,080 Speaker 1: for for some CBD. Yeah, yeah, and so and so 873 00:39:37,200 --> 00:39:38,520 Speaker 1: that was a big deal and that that kind of 874 00:39:38,600 --> 00:39:40,759 Speaker 1: kicked off the whole CBD thing. And you know, look 875 00:39:40,800 --> 00:39:42,640 Speaker 1: where we are now with legalized hemps. So that was 876 00:39:42,680 --> 00:39:44,879 Speaker 1: a cool one. But what we do a lot these 877 00:39:44,920 --> 00:39:47,879 Speaker 1: days actually had helping people chase down like weird things. 878 00:39:47,960 --> 00:39:50,560 Speaker 1: So we have we had a couple of manufacturers and 879 00:39:50,560 --> 00:39:53,719 Speaker 1: they're all lip bombs and they're all popping positive for 880 00:39:54,000 --> 00:39:57,680 Speaker 1: this pesticide called Kuma pholus and the Kuma folks wasn't 881 00:39:57,719 --> 00:39:59,880 Speaker 1: in the in the cannabis material. They're spiking it and 882 00:40:00,120 --> 00:40:02,759 Speaker 1: like where is this coming from? Well, you know, and 883 00:40:03,000 --> 00:40:04,279 Speaker 1: we have all kinds of stories like this, but we 884 00:40:04,320 --> 00:40:05,560 Speaker 1: had to track it down for them. And what we 885 00:40:05,640 --> 00:40:08,600 Speaker 1: did is we tracked down that um Cuma pholus is 886 00:40:08,640 --> 00:40:11,560 Speaker 1: actually a d mighty agent and they use it directly 887 00:40:11,600 --> 00:40:15,160 Speaker 1: on bees, but they also like for for my killing 888 00:40:15,520 --> 00:40:18,480 Speaker 1: and so um and so they also sprayed on livestock. 889 00:40:18,560 --> 00:40:19,680 Speaker 1: You know, they kind of have them go through like 890 00:40:19,760 --> 00:40:21,320 Speaker 1: a car wash and they just spray them down to 891 00:40:21,440 --> 00:40:24,080 Speaker 1: keep keep the mites off of them. And so the 892 00:40:24,200 --> 00:40:27,400 Speaker 1: bees any any even if you bought sourced organic bees wax, 893 00:40:27,600 --> 00:40:29,719 Speaker 1: because we trace it to the bees wax, it was 894 00:40:29,800 --> 00:40:33,200 Speaker 1: laced with this pesticide um. But so so what are 895 00:40:33,360 --> 00:40:35,080 Speaker 1: what our suppliers had to do to to be able 896 00:40:35,120 --> 00:40:37,560 Speaker 1: to pass the California compliance tests with their lip bombs 897 00:40:38,000 --> 00:40:40,440 Speaker 1: is they had to source bees from a hive that 898 00:40:40,560 --> 00:40:42,799 Speaker 1: didn't wasn't within a fifty mile radius, because that's how 899 00:40:42,840 --> 00:40:45,880 Speaker 1: far I guess bees fly um of of a livestock operation. 900 00:40:45,960 --> 00:40:47,759 Speaker 1: But it was like no one could make any bees 901 00:40:47,800 --> 00:40:50,160 Speaker 1: wax products for a little while, and toil we figured 902 00:40:50,160 --> 00:40:55,640 Speaker 1: that out. So it's just kind of fun tracking down 903 00:40:55,760 --> 00:40:59,080 Speaker 1: all these other consumer products that we use that are contaminated, 904 00:40:59,400 --> 00:41:01,080 Speaker 1: but that you know, we don't know what ever tracked 905 00:41:01,080 --> 00:41:02,719 Speaker 1: down because none of these products are tested to the 906 00:41:02,800 --> 00:41:05,960 Speaker 1: level that cannabis is. You know, I'll tell you what 907 00:41:06,160 --> 00:41:08,400 Speaker 1: that's That's the kind of you know, research that you 908 00:41:08,480 --> 00:41:11,200 Speaker 1: really want though, because you definitely don't want to put 909 00:41:11,280 --> 00:41:13,439 Speaker 1: something that has you know, any kind of pest side 910 00:41:13,480 --> 00:41:15,719 Speaker 1: on your lip, right, because that's right there in your 911 00:41:15,760 --> 00:41:18,439 Speaker 1: face and your mouth all the good places. Yeah. Yeah, 912 00:41:18,920 --> 00:41:21,640 Speaker 1: So so listen, I mean, before you know, before we 913 00:41:21,719 --> 00:41:23,840 Speaker 1: go into the high five, you know, I want to 914 00:41:23,880 --> 00:41:26,200 Speaker 1: ask you, you know, just just again, like you know, 915 00:41:27,120 --> 00:41:29,960 Speaker 1: how how is the cannabis industry treated to? How do 916 00:41:30,040 --> 00:41:32,719 Speaker 1: you where do you see it going? And? Um, you 917 00:41:32,800 --> 00:41:36,399 Speaker 1: know what what's the big plan for for your company? Um? Well, 918 00:41:36,480 --> 00:41:38,480 Speaker 1: for for us, we're we're kind of an expansion mode. 919 00:41:38,520 --> 00:41:40,600 Speaker 1: You know, it's been a tough time for for cannabis 920 00:41:41,160 --> 00:41:44,440 Speaker 1: labs in general. Um, and and so you know we're 921 00:41:44,480 --> 00:41:47,600 Speaker 1: doing it slowly and measured measuredly. I guess if that's 922 00:41:47,640 --> 00:41:51,160 Speaker 1: the word I say slow moneys for show money, Yeah exactly, 923 00:41:51,200 --> 00:41:52,840 Speaker 1: you know, and we've been here a long time, you know, 924 00:41:52,880 --> 00:41:55,799 Speaker 1: and we've learned that don't chase every shiny thing. Yeah, 925 00:41:55,840 --> 00:41:58,239 Speaker 1: and so um, but we're we're an expansion mode now. 926 00:41:58,360 --> 00:41:59,879 Speaker 1: We we we had the two labs for a long 927 00:42:00,000 --> 00:42:02,279 Speaker 1: I'm the one in Santa Cruz one in Oregon. We 928 00:42:02,440 --> 00:42:05,800 Speaker 1: just opened the SoCal lab. We have two labs in Denver, 929 00:42:06,160 --> 00:42:07,920 Speaker 1: one a hemp lab and one a cannabis lab. We 930 00:42:08,000 --> 00:42:10,800 Speaker 1: have a lab in Michigan now um and then and 931 00:42:10,880 --> 00:42:14,520 Speaker 1: then you know, soon we're opening one in New York. UM, 932 00:42:14,640 --> 00:42:17,040 Speaker 1: looking at one in Arizona. That that pretty soon. So 933 00:42:17,320 --> 00:42:20,799 Speaker 1: so we're expanding kind of slowly. We we we brought 934 00:42:20,840 --> 00:42:23,560 Speaker 1: some new investors on kind of to help us weather 935 00:42:23,600 --> 00:42:25,879 Speaker 1: the storm and to help us expand. So it's sort 936 00:42:25,920 --> 00:42:29,040 Speaker 1: of trying to to take take sc labs, um, you know, 937 00:42:29,120 --> 00:42:31,279 Speaker 1: bring it to some of these other states. Um, maybe 938 00:42:31,320 --> 00:42:33,080 Speaker 1: that maybe that have a little bit better economics than 939 00:42:33,160 --> 00:42:35,920 Speaker 1: California too and in some regard but uh um, but 940 00:42:36,160 --> 00:42:38,320 Speaker 1: but they're not not lose kind of the special secret 941 00:42:38,360 --> 00:42:40,120 Speaker 1: sauce that kind of made us labs to begin with. 942 00:42:40,200 --> 00:42:43,319 Speaker 1: So it's fantastic. I'm excited about that because I think, 943 00:42:43,400 --> 00:42:46,279 Speaker 1: like I said, when I think of lab testing here 944 00:42:46,360 --> 00:42:49,200 Speaker 1: and and I'm I'm in this industry and I've dealt 945 00:42:49,239 --> 00:42:52,439 Speaker 1: with all the different um actors you know in the game, 946 00:42:52,640 --> 00:42:56,880 Speaker 1: you know, from before and after, and you guys have 947 00:42:57,080 --> 00:43:01,120 Speaker 1: been very consistent and have been here first quite some time. 948 00:43:01,640 --> 00:43:04,399 Speaker 1: And I just remember always everybody talking about you guys, 949 00:43:04,680 --> 00:43:07,080 Speaker 1: you know, lab for for the last since you know, 950 00:43:07,320 --> 00:43:12,920 Speaker 1: two ten, you know, I mean I really remember, like 951 00:43:15,200 --> 00:43:17,280 Speaker 1: it was go to se Labs. They got real testing. 952 00:43:17,600 --> 00:43:19,440 Speaker 1: Go to se Labs. These guys are really doing it. 953 00:43:19,520 --> 00:43:21,279 Speaker 1: And it was you know, there was all these other little, 954 00:43:21,480 --> 00:43:23,840 Speaker 1: you know, pop ups happening, but it was still that 955 00:43:24,120 --> 00:43:27,719 Speaker 1: sc labs kind of was from for my generation, was 956 00:43:27,800 --> 00:43:30,759 Speaker 1: like a little staple. And and to see Josh you 957 00:43:30,960 --> 00:43:33,800 Speaker 1: here now and to see what you've done and built 958 00:43:33,840 --> 00:43:36,520 Speaker 1: out your locations and stuff like that. And I'm sure 959 00:43:36,560 --> 00:43:38,759 Speaker 1: you've heard of us and seeing our growth as well. 960 00:43:39,960 --> 00:43:42,680 Speaker 1: It's it's that slow. I I know it takes. You know, 961 00:43:42,760 --> 00:43:44,440 Speaker 1: it's not a fast food you're not here. A lot 962 00:43:44,440 --> 00:43:46,520 Speaker 1: of these guys aren't aren't here no more. The reason 963 00:43:46,560 --> 00:43:49,560 Speaker 1: they're not here is because they're I call it fast food. 964 00:43:49,600 --> 00:43:51,600 Speaker 1: They're here to eat really quick, get fat, and then 965 00:43:52,000 --> 00:43:55,040 Speaker 1: roll over into another you know food food you know, 966 00:43:55,239 --> 00:43:57,239 Speaker 1: source and go eat somewhere else, real fat and then 967 00:43:57,320 --> 00:44:00,399 Speaker 1: goes they're just you know, fly by night. You know, um, 968 00:44:00,600 --> 00:44:03,880 Speaker 1: you've made this a career and and brought your intelligence 969 00:44:03,960 --> 00:44:06,960 Speaker 1: to this industry and we appreciate it, man, So thank you, 970 00:44:07,440 --> 00:44:09,319 Speaker 1: no doubt. It's it's been a it's been a joy. 971 00:44:09,400 --> 00:44:11,120 Speaker 1: Like I said at the beginning of the show. So 972 00:44:11,200 --> 00:44:13,359 Speaker 1: now Josh Werzer we like to do the high five 973 00:44:13,400 --> 00:44:15,600 Speaker 1: with everybody that comes on the show. As you were 974 00:44:15,640 --> 00:44:19,000 Speaker 1: the president and co founder of SC Laboratories, how are 975 00:44:19,080 --> 00:44:21,040 Speaker 1: you the first time you smoked cannabis and where did 976 00:44:21,120 --> 00:44:23,719 Speaker 1: you get it from? I'm pretty sure it was sixteen, 977 00:44:24,320 --> 00:44:28,279 Speaker 1: maybe fifteen, maybe yeh fifteen. I was fifteen, just about 978 00:44:28,320 --> 00:44:32,080 Speaker 1: to turn sixteen, and uh, um, I I the very 979 00:44:32,120 --> 00:44:34,480 Speaker 1: first time I smoked it. Actually, we found something. We 980 00:44:34,560 --> 00:44:36,719 Speaker 1: found a bag of weed that someone had fallen out 981 00:44:36,760 --> 00:44:39,719 Speaker 1: of someone's pocket and McDonald's and so it might have 982 00:44:39,719 --> 00:44:41,000 Speaker 1: been a freshman. We went and smoked it, but we 983 00:44:41,000 --> 00:44:42,719 Speaker 1: didn't get really high. The first time I really got 984 00:44:43,280 --> 00:44:46,480 Speaker 1: got high, Um, it was after a high school basketball game. 985 00:44:46,760 --> 00:44:48,839 Speaker 1: My buddy pulled up and said, hey, we're going. We're going. 986 00:44:48,960 --> 00:44:50,560 Speaker 1: I forget, I forgot the name of the kid's house 987 00:44:50,600 --> 00:44:52,640 Speaker 1: that we're at. We're going. We're going to smoke weed 988 00:44:52,719 --> 00:44:54,800 Speaker 1: over there. They've got a bong. So I jumped in, 989 00:44:55,040 --> 00:44:56,640 Speaker 1: like I'm games. So we jumped in, went over there 990 00:44:56,680 --> 00:44:58,840 Speaker 1: and smoked. And these kids had like a four football 991 00:44:58,920 --> 00:45:00,880 Speaker 1: and they lived in their mom's girl odians had a 992 00:45:00,920 --> 00:45:03,120 Speaker 1: cool set up, and we got we got some some weed, 993 00:45:03,160 --> 00:45:04,480 Speaker 1: and I think it's I think it's the old like 994 00:45:04,600 --> 00:45:07,120 Speaker 1: road kill skunk and I filled up that big bombing 995 00:45:07,120 --> 00:45:08,840 Speaker 1: and kind of a tippet and have someone else like it. 996 00:45:09,320 --> 00:45:11,279 Speaker 1: Took one hit and I was I was, I was gone. 997 00:45:11,320 --> 00:45:12,960 Speaker 1: I was all my long. I end up sleeping to 998 00:45:13,000 --> 00:45:14,839 Speaker 1: my friend's car in Wisconsin in the middle of winter, 999 00:45:15,000 --> 00:45:17,880 Speaker 1: so home I couldn't go home. I couldn't have my 1000 00:45:18,440 --> 00:45:22,799 Speaker 1: Like that's blue balls for sure, right, So question number 1001 00:45:22,840 --> 00:45:25,160 Speaker 1: two of the high five, what is your favorite way 1002 00:45:25,200 --> 00:45:28,320 Speaker 1: to use or smoke cannabis? I still smoke joints almost 1003 00:45:28,440 --> 00:45:29,840 Speaker 1: most of the time. Like I like to have a 1004 00:45:29,920 --> 00:45:32,320 Speaker 1: cartridge for convenience. I like dab now and again. But 1005 00:45:32,400 --> 00:45:34,080 Speaker 1: I'm I'm an old fashioned joint guy. I like to 1006 00:45:34,120 --> 00:45:36,319 Speaker 1: roll a joint. There's nothing wrong with that. Question number 1007 00:45:36,320 --> 00:45:38,960 Speaker 1: three of the High five, craziest place you ever used 1008 00:45:39,040 --> 00:45:42,120 Speaker 1: cannabis or smoked? Well, I guess that's just the craziest 1009 00:45:42,120 --> 00:45:44,680 Speaker 1: place I've been because I'm usually smoking cannabis wherever I'm going. 1010 00:45:44,760 --> 00:45:50,080 Speaker 1: But shoot, um, I'm gonna getting myself in trouble here 1011 00:45:50,080 --> 00:45:52,239 Speaker 1: and I get banned from those packer games. But since 1012 00:45:52,239 --> 00:45:53,879 Speaker 1: you brought it up, you know, I'm a big fan 1013 00:45:54,000 --> 00:45:56,880 Speaker 1: of of of imbibing in the in you know that 1014 00:45:57,040 --> 00:45:59,200 Speaker 1: kind of like the family bathrooms and like stadiums where 1015 00:45:59,200 --> 00:46:00,399 Speaker 1: you can just kind of go in, lock the door 1016 00:46:00,400 --> 00:46:02,960 Speaker 1: and have a little puff. That's my that's my secret trick. Now, 1017 00:46:03,000 --> 00:46:06,080 Speaker 1: I just let it out. Something there it is. You know, 1018 00:46:06,280 --> 00:46:08,200 Speaker 1: that's a great place. It's owned by the you own 1019 00:46:08,239 --> 00:46:11,000 Speaker 1: it all the people. You can't smoke in the stadium anymore, 1020 00:46:11,120 --> 00:46:12,759 Speaker 1: so you gotta go find your spot right well you 1021 00:46:12,920 --> 00:46:17,120 Speaker 1: can if you're I'll do it. Question number four of 1022 00:46:17,239 --> 00:46:19,640 Speaker 1: the high five. What is your go too muchee after 1023 00:46:19,760 --> 00:46:23,520 Speaker 1: you get high? Shoot? That's changed over the years. Funnyans 1024 00:46:23,560 --> 00:46:25,600 Speaker 1: were always a good one, you know. If I'm I'm going, 1025 00:46:25,640 --> 00:46:30,719 Speaker 1: I'm going to classic. They're just like I like, we 1026 00:46:30,880 --> 00:46:32,799 Speaker 1: literally had some little bags. I take a bag home 1027 00:46:32,880 --> 00:46:35,160 Speaker 1: like They're just a classic whatever. You don't even have 1028 00:46:35,160 --> 00:46:37,640 Speaker 1: to be high. They just love some funnians. Yeah, I'll 1029 00:46:37,680 --> 00:46:39,719 Speaker 1: go with funny and funny. Stick with that one. I 1030 00:46:39,760 --> 00:46:41,640 Speaker 1: would think you do some kind of cheese, you know, 1031 00:46:42,160 --> 00:46:45,319 Speaker 1: it's funny with some cheese dip, some cheese curds made made, 1032 00:46:45,400 --> 00:46:47,560 Speaker 1: some fresh cheesecurts, not those deep fried ones you know, 1033 00:46:47,680 --> 00:46:49,440 Speaker 1: for for you know, just dipping your toes and you 1034 00:46:49,520 --> 00:46:51,920 Speaker 1: like a fresh, fresh cheese carets right from the cheese factory. 1035 00:46:51,920 --> 00:46:53,840 Speaker 1: I had many of those. I just love it that 1036 00:46:54,000 --> 00:46:56,080 Speaker 1: the cheese heads and like you're from Green Bay and 1037 00:46:56,120 --> 00:46:58,000 Speaker 1: it's like in my head, it's just all cheese. It's 1038 00:46:58,040 --> 00:46:59,680 Speaker 1: just Oh God makes me want to have some cheese 1039 00:46:59,680 --> 00:47:01,880 Speaker 1: and cracker today. I'm gonna order some fried cheese right now, 1040 00:47:02,000 --> 00:47:04,640 Speaker 1: some star. I like the grilled cheese. I like all 1041 00:47:04,760 --> 00:47:07,480 Speaker 1: kind of cheese. Bread. I gotta stay up with bread. Yeah, 1042 00:47:07,920 --> 00:47:14,399 Speaker 1: that's getting tight gold. That's not nice. Even Teddy's looking 1043 00:47:14,440 --> 00:47:17,080 Speaker 1: at him like, oh, brother, can't tell you the truth. 1044 00:47:17,160 --> 00:47:21,400 Speaker 1: No one came question number five of the High Five 1045 00:47:21,560 --> 00:47:24,160 Speaker 1: with Josh words Or, the president and co founder of 1046 00:47:24,360 --> 00:47:27,680 Speaker 1: sc Labs. If you could smoke cannabis with anyone dead 1047 00:47:28,000 --> 00:47:31,200 Speaker 1: or alive, who would it be? And why? All right? Well, 1048 00:47:32,040 --> 00:47:33,920 Speaker 1: I want to say Jesus, but I feel like that 1049 00:47:34,239 --> 00:47:36,520 Speaker 1: that's that's too easy. I feel like that's not no, 1050 00:47:36,719 --> 00:47:39,560 Speaker 1: it's not that alright, Jesus Christ. But if if, if, 1051 00:47:39,680 --> 00:47:41,600 Speaker 1: if I'm gonna pick someone, if he doesn't make it, 1052 00:47:41,960 --> 00:47:43,759 Speaker 1: he doesn't make it. If he's busy, and then he's 1053 00:47:43,760 --> 00:47:47,839 Speaker 1: got a lot to do. We got time to burn 1054 00:47:47,880 --> 00:47:53,040 Speaker 1: a bush stumped after Jesus. But but we're near Los Angeles, California, 1055 00:47:53,120 --> 00:47:54,880 Speaker 1: home of the Doors, So i'd have to say, Jim Morrison, 1056 00:47:57,160 --> 00:48:02,600 Speaker 1: what's your favorite song Ship Roadhouse Blues. Wow, Jim Morrison, huh, 1057 00:48:03,520 --> 00:48:06,799 Speaker 1: I love them. Yea. The Doors were freaking hot, man. 1058 00:48:07,600 --> 00:48:09,359 Speaker 1: That was a big band. That was big, big, big, 1059 00:48:09,440 --> 00:48:12,000 Speaker 1: big dude. That was like depeche Mode. The cure, that 1060 00:48:12,120 --> 00:48:15,160 Speaker 1: whole that whole error was really cool. Show me, show me, 1061 00:48:15,200 --> 00:48:17,640 Speaker 1: show me all those guys singing. But I mean, I 1062 00:48:17,680 --> 00:48:21,359 Speaker 1: don't think Jesus doors the doors were The doors were good. 1063 00:48:21,560 --> 00:48:23,160 Speaker 1: You know, you can go see the doors. Didn't walk 1064 00:48:23,200 --> 00:48:25,439 Speaker 1: on water, That's what I'm saying. You know, they didn't 1065 00:48:25,440 --> 00:48:30,440 Speaker 1: come back almost they didn't burn the original bush and 1066 00:48:30,520 --> 00:48:33,120 Speaker 1: the wine. I'm saying they didn't, you know, do a 1067 00:48:33,239 --> 00:48:36,000 Speaker 1: few things that were pretty impressive by this carpenter. What 1068 00:48:36,200 --> 00:48:40,880 Speaker 1: was his name? His sus No, that's Jesus, definitely. So 1069 00:48:40,960 --> 00:48:43,000 Speaker 1: what would you ask Jesus if you if you could 1070 00:48:43,000 --> 00:48:46,719 Speaker 1: sit and smoke with Jesus, what would you ask me? Shit? Um, 1071 00:48:47,080 --> 00:48:51,040 Speaker 1: that's a good one. No, ship yeah, Scots. So what's 1072 00:48:51,080 --> 00:48:54,040 Speaker 1: the purpose of life? Yeah? There you go. Yeah, just 1073 00:48:54,400 --> 00:48:55,759 Speaker 1: put it in a good way with your dad. Maybe, 1074 00:48:55,800 --> 00:48:58,319 Speaker 1: I don't know, right, Hey, can you get me through 1075 00:48:58,360 --> 00:49:02,720 Speaker 1: them Pearly gates? Am I good to go? Like Rodney Josh? 1076 00:49:02,800 --> 00:49:04,800 Speaker 1: Is there anything we forgot man before we let you go? 1077 00:49:05,160 --> 00:49:09,160 Speaker 1: So impressive with your history and your whole pal No, No, 1078 00:49:09,280 --> 00:49:11,280 Speaker 1: I mean yeah, I mean check us out at slabs 1079 00:49:11,280 --> 00:49:13,040 Speaker 1: dot com. I be if you need testing. But if 1080 00:49:13,239 --> 00:49:16,120 Speaker 1: you do, we've probably already been calling yourself. Yeah, so yeah, yeah, 1081 00:49:16,120 --> 00:49:18,360 Speaker 1: I mean, I'm just I'm really excited the opportunity to 1082 00:49:18,560 --> 00:49:22,560 Speaker 1: come on the show and he did. Yeah, that's testable. 1083 00:49:22,560 --> 00:49:24,440 Speaker 1: There it is. Guys, It's Cannabis Talk one on one, 1084 00:49:24,480 --> 00:49:27,120 Speaker 1: and remember this. If no one else loves you, we do. 1085 00:49:30,320 --> 00:49:32,680 Speaker 1: Thank you for listening to Cannabis Talk one on one 1086 00:49:32,719 --> 00:49:35,880 Speaker 1: on the I Heart Radio app, Apple podcast or wherever 1087 00:49:36,000 --> 00:49:37,120 Speaker 1: you get your podcasts.