1 00:00:00,520 --> 00:00:03,200 Speaker 1: Welcome the Cannabis Talk one oh one featuring Blue with 2 00:00:03,360 --> 00:00:07,159 Speaker 1: Joe Bronde, the world's number one source for everything cannabis. 3 00:00:07,200 --> 00:00:09,320 Speaker 2: Hello, welcome to Cannabis Talk one oh one, the world's 4 00:00:09,400 --> 00:00:11,400 Speaker 2: number one source for everything cannabis. 5 00:00:11,440 --> 00:00:12,080 Speaker 3: Mo Nay is Blue. 6 00:00:12,119 --> 00:00:14,360 Speaker 2: Alongside of me is mister Joe Grande, and you are 7 00:00:14,400 --> 00:00:17,000 Speaker 2: now tuned in to the greatest cannabis show on the planet. 8 00:00:17,079 --> 00:00:19,000 Speaker 4: That's right, folks, Thank you for listening to our podcast 9 00:00:19,079 --> 00:00:20,640 Speaker 4: all around the world. Make sure you check out the 10 00:00:20,680 --> 00:00:23,279 Speaker 4: website Cannabis Talk one oh one dot com as we 11 00:00:23,320 --> 00:00:25,200 Speaker 4: have so many great articles and blogs on the site 12 00:00:25,239 --> 00:00:27,320 Speaker 4: for you to check out, and feel free to give 13 00:00:27,360 --> 00:00:29,320 Speaker 4: us a call anytime at one eight hundred and four 14 00:00:29,360 --> 00:00:32,479 Speaker 4: twenty nineteen eighty go check out our ig pages folks 15 00:00:32,479 --> 00:00:35,280 Speaker 4: at Cannabis Talk one oh one. Blue is at the 16 00:00:35,360 --> 00:00:38,720 Speaker 4: number one Christopher Wrights and I am at Joe Grande 17 00:00:38,920 --> 00:00:41,120 Speaker 4: fifty two. And I got to remind you guys about 18 00:00:41,159 --> 00:00:43,320 Speaker 4: the Bear Flag Group. But your white labeled partners. They 19 00:00:43,280 --> 00:00:46,879 Speaker 4: are known to be on time, accurate, and do quality copackaging. 20 00:00:46,920 --> 00:00:50,440 Speaker 4: They've been launching brands in California since twenty fifteen. At 21 00:00:50,440 --> 00:00:52,680 Speaker 4: the Bear Flag Group, they literally do what they say 22 00:00:52,720 --> 00:00:54,440 Speaker 4: they're gonna do. You guys, go check them out online 23 00:00:54,480 --> 00:00:57,760 Speaker 4: at bearflagroup dot com. Today on the podcast, we have 24 00:00:57,840 --> 00:01:03,120 Speaker 4: a lady behind an entity that's revolutionizing cabinoid analysts, and 25 00:01:03,280 --> 00:01:05,720 Speaker 4: the way they're doing it, folks, is just unbelievable in 26 00:01:05,760 --> 00:01:09,120 Speaker 4: a way where even the most non technical users like 27 00:01:09,160 --> 00:01:12,319 Speaker 4: Blue and Eye will find this process so easy to follow. 28 00:01:12,480 --> 00:01:14,920 Speaker 5: Apparently we're gonna find out we do call it stupid 29 00:01:14,920 --> 00:01:17,200 Speaker 5: proof this out today. 30 00:01:17,240 --> 00:01:20,160 Speaker 4: Besides this, Now, that lovely voice you just heard is 31 00:01:20,319 --> 00:01:22,160 Speaker 4: Jill Carey. 32 00:01:22,640 --> 00:01:22,840 Speaker 1: Roll. 33 00:01:23,000 --> 00:01:24,600 Speaker 6: Oh, come on, you can do that. 34 00:01:28,000 --> 00:01:36,240 Speaker 5: Hold on, hold on, Carrero. 35 00:01:36,480 --> 00:01:39,120 Speaker 6: I'm married. The name I was a sawyer. 36 00:01:39,200 --> 00:01:43,039 Speaker 4: First sawyer would have been way easier. He was years 37 00:01:43,600 --> 00:01:45,400 Speaker 4: all right, Well he did the ten year story. 38 00:01:45,440 --> 00:01:46,200 Speaker 3: That's your single. 39 00:01:46,600 --> 00:01:50,720 Speaker 4: We've done all that. Vice President, you guys of Orange Potonics. 40 00:01:50,840 --> 00:01:54,240 Speaker 4: Orange Potonics is the company the creator of light Lab, 41 00:01:54,360 --> 00:02:00,920 Speaker 4: a liquid chromotography based portable cannabinoid analyzer designed for the 42 00:02:01,080 --> 00:02:05,000 Speaker 4: average user. And this just, folks, got approved by the FDA. 43 00:02:05,120 --> 00:02:07,440 Speaker 4: It's official, Like a referee with a whistle. You're gonna 44 00:02:07,440 --> 00:02:10,200 Speaker 4: be seeing these orange boxes all over I'm wearing the 45 00:02:10,200 --> 00:02:11,560 Speaker 4: orange beani on top of my head. 46 00:02:11,560 --> 00:02:13,080 Speaker 5: Because I know this is gonna blow up. 47 00:02:13,639 --> 00:02:19,360 Speaker 4: Light Lab measures nineteen cannabinoids and semi quantitative terpenes in 48 00:02:19,480 --> 00:02:25,800 Speaker 4: twenty plus sample types including plant material, concentrates, and infused 49 00:02:25,840 --> 00:02:28,880 Speaker 4: products and blue already read on their press release today. 50 00:02:28,880 --> 00:02:31,200 Speaker 4: It only takes about ten and a half minutes, so 51 00:02:31,320 --> 00:02:33,200 Speaker 4: less than eleven minutes to get all this shit done, 52 00:02:33,240 --> 00:02:38,840 Speaker 4: you guys. Light Labs HEMP Compliance module quantifies THIGHTC content 53 00:02:39,000 --> 00:02:43,280 Speaker 4: down to ready for this point zero five percent. Now 54 00:02:43,320 --> 00:02:46,520 Speaker 4: that's even ten times more lower than the federal threshold 55 00:02:46,520 --> 00:02:49,560 Speaker 4: which we've all heard the point three. This is now 56 00:02:49,680 --> 00:02:54,440 Speaker 4: point zero five Wow. Orange Potonics, you guys, and Photonics 57 00:02:54,480 --> 00:02:58,600 Speaker 4: excuse me. Photonics Analytical Instrument serves the needs of the 58 00:02:58,639 --> 00:03:02,960 Speaker 4: cannabis industry and all the police departments who we getting 59 00:03:02,960 --> 00:03:10,560 Speaker 4: counting cultivators, extractors, departments of agriculture, law enforcement, universities, testing laboratories, 60 00:03:10,639 --> 00:03:16,080 Speaker 4: infused products, producers and regulators, amongst its consumers and the customers. 61 00:03:16,400 --> 00:03:19,280 Speaker 4: Make sure you guys check out the website at Orangephotonics 62 00:03:19,320 --> 00:03:21,720 Speaker 4: dot com. That's O R A n G E P 63 00:03:21,960 --> 00:03:25,200 Speaker 4: H O T O n I c s also tap 64 00:03:25,240 --> 00:03:29,840 Speaker 4: into the ig same thing Orange Potonics to keep photonics. 65 00:03:30,200 --> 00:03:32,679 Speaker 4: Why not keep saying poe because I see pH I 66 00:03:32,720 --> 00:03:34,960 Speaker 4: want to see an f for God's. 67 00:03:34,480 --> 00:03:37,040 Speaker 6: You're you're in the mood for some good Vietnamese soup. 68 00:03:37,480 --> 00:03:39,280 Speaker 4: You know what, I could use some fu. That's what 69 00:03:39,320 --> 00:03:44,640 Speaker 4: I'm probably saying. The soup. That's exactly what it is. 70 00:03:44,760 --> 00:03:46,720 Speaker 4: I and I do love that type of soup. Without 71 00:03:46,760 --> 00:03:48,960 Speaker 4: further ado, you guys, please welcome and make some noise 72 00:03:49,000 --> 00:03:49,840 Speaker 4: for our next guest. 73 00:03:49,640 --> 00:03:50,520 Speaker 3: Who has ready for this. 74 00:03:50,920 --> 00:03:55,160 Speaker 4: Five kids, three dogs, two cats, two fish, and a lizard. 75 00:03:55,240 --> 00:03:58,760 Speaker 4: And she graduated from Arizona State. We're a bachelors and 76 00:03:58,880 --> 00:04:03,960 Speaker 4: bioengineering as she specializes in both bio materials and biochemicts. 77 00:04:04,000 --> 00:04:05,320 Speaker 4: He's a smarty pants right here. 78 00:04:05,520 --> 00:04:07,040 Speaker 3: Give what up you guys for Jill in. 79 00:04:07,000 --> 00:04:11,640 Speaker 6: The buildings, for having me. I really appreciate you having. 80 00:04:11,760 --> 00:04:13,880 Speaker 3: No We appreciate you coming here, Jill. 81 00:04:14,000 --> 00:04:16,480 Speaker 4: And uh, you know I read that on LinkedIn about 82 00:04:16,480 --> 00:04:18,280 Speaker 4: all the family stuff that you just updated as you 83 00:04:18,320 --> 00:04:21,000 Speaker 4: took a picture with our dude dot Teddy too. 84 00:04:21,400 --> 00:04:25,000 Speaker 6: Gumb Man Teddy has got a smile. 85 00:04:24,800 --> 00:04:25,640 Speaker 3: For the day. 86 00:04:26,000 --> 00:04:27,840 Speaker 4: They took a picture together where they were smiling together. 87 00:04:27,880 --> 00:04:28,599 Speaker 5: It was so cute. 88 00:04:28,680 --> 00:04:32,760 Speaker 6: Now I'm a busy woman. I'm a lucky woman. I 89 00:04:32,800 --> 00:04:35,239 Speaker 6: started on a mission to have a whole bunch of great, 90 00:04:35,360 --> 00:04:37,680 Speaker 6: amazing children. I got them, and I'm on a whole 91 00:04:37,680 --> 00:04:38,640 Speaker 6: different mission now. 92 00:04:38,640 --> 00:04:43,000 Speaker 4: And company, because as I looked at your LinkedIn, you've 93 00:04:43,000 --> 00:04:43,720 Speaker 4: been around. 94 00:04:43,520 --> 00:04:45,760 Speaker 3: You've been engineering for a lot. You're a chemists. 95 00:04:45,800 --> 00:04:47,880 Speaker 4: Basically, you sit there and you nerd out and you 96 00:04:47,880 --> 00:04:50,840 Speaker 4: geek out a little bit. What made you get into 97 00:04:50,839 --> 00:04:51,239 Speaker 4: that field? 98 00:04:51,480 --> 00:04:54,200 Speaker 6: I was always like the stoner with the nerds, and 99 00:04:54,240 --> 00:04:56,880 Speaker 6: now I'm like the nerdiest one with the stoners. 100 00:04:57,080 --> 00:04:59,200 Speaker 3: Ah, but I'm still. 101 00:04:58,960 --> 00:05:03,000 Speaker 6: The same Jill. Yeah. I mean I've always been as 102 00:05:03,040 --> 00:05:05,720 Speaker 6: an engineer interested in like technologies like this, So I've 103 00:05:05,720 --> 00:05:09,919 Speaker 6: always worked for companies that made really cool technology, disruptive technology, 104 00:05:09,960 --> 00:05:13,520 Speaker 6: shit that people went you can't use that, that that 105 00:05:13,680 --> 00:05:16,640 Speaker 6: isn't as good as that other one that's bigger and 106 00:05:16,960 --> 00:05:19,840 Speaker 6: requires the chemist. And I've been doing this for the 107 00:05:19,880 --> 00:05:23,600 Speaker 6: pharmaceutical industry and for food agroscience industry for kind of 108 00:05:23,640 --> 00:05:25,640 Speaker 6: like twenty years now. That's that's basically what I've been 109 00:05:25,680 --> 00:05:28,680 Speaker 6: doing is working with really cool scientific companies like Thermo 110 00:05:28,720 --> 00:05:32,239 Speaker 6: Fisher and Shimadzu, companies like that Ragaku. 111 00:05:31,880 --> 00:05:38,040 Speaker 4: That are big Monster companies. Monster Company like that company. 112 00:05:36,520 --> 00:05:40,839 Speaker 4: Every hospital ever, doctor's office they have. 113 00:05:41,000 --> 00:05:43,760 Speaker 6: They are the number one scientific company in there. 114 00:05:43,760 --> 00:05:46,279 Speaker 4: So every time you go to a hospital doctor's office, 115 00:05:46,480 --> 00:05:48,560 Speaker 4: you don't realize it, you're seeing their products. 116 00:05:48,600 --> 00:05:52,240 Speaker 6: And I've been acquired by them twice, really really, so yeah, 117 00:05:52,240 --> 00:05:54,919 Speaker 6: and it's all about the ways that you know, teams 118 00:05:54,920 --> 00:05:57,720 Speaker 6: that I've been able to work with have brought technologies 119 00:05:57,760 --> 00:05:59,960 Speaker 6: like light Lab to the forefront of a problem that 120 00:06:00,120 --> 00:06:05,200 Speaker 6: existed or was coming and needed a solution that was accessible, accurate, 121 00:06:05,720 --> 00:06:07,479 Speaker 6: and on point. And that's what light Lab is. And 122 00:06:07,520 --> 00:06:10,560 Speaker 6: so it's just let's do it again. Hell yeah, they 123 00:06:10,560 --> 00:06:12,679 Speaker 6: don't let me travel with the solvent, which is why 124 00:06:12,800 --> 00:06:15,520 Speaker 6: you know I'm working with empty I'm working with empty 125 00:06:15,560 --> 00:06:18,600 Speaker 6: bottles there. But yeah, I mean I've been working. 126 00:06:18,600 --> 00:06:21,279 Speaker 4: You can talk about it because I mean seeing that 127 00:06:21,400 --> 00:06:24,240 Speaker 4: literally today the article just broke. That's on high time. 128 00:06:24,320 --> 00:06:26,200 Speaker 3: So props out to your company, thank you very much. 129 00:06:26,279 --> 00:06:28,640 Speaker 4: Then the press release just came out. You guys obviously 130 00:06:28,640 --> 00:06:31,039 Speaker 4: been working on this for who knows how long months or. 131 00:06:31,080 --> 00:06:34,239 Speaker 6: Years, years. No, No, let's not sell this short, Okay. 132 00:06:34,320 --> 00:06:36,679 Speaker 6: So the work that we're doing now with the FDA 133 00:06:36,920 --> 00:06:39,640 Speaker 6: and with customs and border protection. That's at the end 134 00:06:39,680 --> 00:06:41,840 Speaker 6: of a very long road. Light Lab was invented by 135 00:06:41,880 --> 00:06:44,120 Speaker 6: a guy named Dylan Wilkes, who's still at the tip 136 00:06:44,120 --> 00:06:46,120 Speaker 6: of the sphere in our company. He's still developing new 137 00:06:46,120 --> 00:06:49,400 Speaker 6: shit every single day. He's our CTO seven years ago. 138 00:06:49,600 --> 00:06:49,880 Speaker 4: Wow. 139 00:06:50,080 --> 00:06:51,960 Speaker 3: Right, he started seven years ago. 140 00:06:52,000 --> 00:06:54,599 Speaker 6: Seven years ago. Right, we have almost one thousand teams 141 00:06:54,680 --> 00:06:57,479 Speaker 6: using light Lab. Now, this is this is something that's 142 00:06:57,480 --> 00:07:00,200 Speaker 6: really been well established in the industry. That said, we've 143 00:07:00,200 --> 00:07:01,960 Speaker 6: been making it better and better every year, so it's 144 00:07:02,000 --> 00:07:04,400 Speaker 6: way better now than it was seven years ago. I 145 00:07:04,400 --> 00:07:06,360 Speaker 6: look at the people that were with us seven years 146 00:07:06,360 --> 00:07:08,839 Speaker 6: ago and I'm like, thank you, thank you, because it 147 00:07:08,920 --> 00:07:11,720 Speaker 6: was not nearly as awesome as it is now. But 148 00:07:12,240 --> 00:07:15,360 Speaker 6: first and foremost, we weren't a solution for law enforcement. 149 00:07:15,360 --> 00:07:18,280 Speaker 6: We were a solution for hemp farmers. Right, the folks 150 00:07:18,320 --> 00:07:21,960 Speaker 6: that that number, that point three percent, their whole livelihoods 151 00:07:22,000 --> 00:07:25,480 Speaker 6: depended on not going hot. They needed something. They needed 152 00:07:25,520 --> 00:07:27,280 Speaker 6: a solution that they could go out to the field 153 00:07:27,360 --> 00:07:30,520 Speaker 6: with and they could analyze their own crop to make 154 00:07:30,560 --> 00:07:32,280 Speaker 6: sure that when the apartment of bag came in the 155 00:07:32,280 --> 00:07:34,280 Speaker 6: next ten days, they are going to have a hot 156 00:07:34,320 --> 00:07:35,760 Speaker 6: test good time. 157 00:07:35,880 --> 00:07:38,400 Speaker 5: So that's literally why you guys created that was for the. 158 00:07:38,400 --> 00:07:40,400 Speaker 6: First like one hundred and something boxes went to the 159 00:07:40,400 --> 00:07:42,640 Speaker 6: hemp farmers across the United States, and. 160 00:07:43,120 --> 00:07:45,240 Speaker 3: That saves them millions of dollars. 161 00:07:45,080 --> 00:07:46,640 Speaker 6: And lets them go to sleep at night. 162 00:07:46,800 --> 00:07:50,480 Speaker 2: Yeah seriously, I mean because they test hot, they chop 163 00:07:50,520 --> 00:07:51,200 Speaker 2: it and it's trash. 164 00:07:51,320 --> 00:07:54,080 Speaker 6: That's it. That's it. And so it really we moved 165 00:07:54,080 --> 00:07:57,880 Speaker 6: from kind of that hemp industry into you know, adult 166 00:07:57,960 --> 00:08:00,640 Speaker 6: use cannabis that's what we call it, like commercial cannabi industry, 167 00:08:00,640 --> 00:08:06,520 Speaker 6: and then definitely formed relationships with cannabis control commissions and 168 00:08:06,600 --> 00:08:10,120 Speaker 6: law enforcement groups. But really it's that adult use cannabis 169 00:08:10,160 --> 00:08:14,080 Speaker 6: commercial population where well over sixty five percent of the 170 00:08:14,120 --> 00:08:16,120 Speaker 6: light labs that are out there are being used by 171 00:08:16,720 --> 00:08:20,360 Speaker 6: craft farmers, by mid scale farmers, and by nine of 172 00:08:20,360 --> 00:08:23,080 Speaker 6: the top ten msco ohs use fleets of light labs. 173 00:08:23,080 --> 00:08:26,160 Speaker 2: Well the beauty is too, it's the size of a 174 00:08:26,160 --> 00:08:30,280 Speaker 2: decent sized briefcase. I mean, you think of testing a product, 175 00:08:30,360 --> 00:08:33,200 Speaker 2: you think it has to be some massive machine. 176 00:08:32,920 --> 00:08:34,599 Speaker 4: Or you have to take it to a laboratory. 177 00:08:34,600 --> 00:08:38,720 Speaker 2: People, And this doesn't suffice as a test for the 178 00:08:38,760 --> 00:08:42,679 Speaker 2: state now, but at least it gives them before they 179 00:08:42,960 --> 00:08:44,000 Speaker 2: know what you're taking to the state. 180 00:08:44,120 --> 00:08:46,680 Speaker 6: I'd make a pretty strong argument that if all you're 181 00:08:46,720 --> 00:08:49,080 Speaker 6: doing is the state release test, you might not be 182 00:08:49,160 --> 00:08:51,559 Speaker 6: here in a few more years, right, right, This is 183 00:08:51,600 --> 00:08:54,240 Speaker 6: not about replacing that test. It will be I mean, 184 00:08:54,280 --> 00:08:56,080 Speaker 6: there's a reason why the FDA and all the Cannabis 185 00:08:56,120 --> 00:08:59,520 Speaker 6: Control missions like we are doing all the stuff, just 186 00:08:59,520 --> 00:09:01,480 Speaker 6: like I did those other companies to make this a 187 00:09:01,600 --> 00:09:05,800 Speaker 6: standardized technology with AOAC and ASTM standards. We're part of 188 00:09:05,800 --> 00:09:10,040 Speaker 6: those committees and we're very, very active in making sure 189 00:09:10,080 --> 00:09:12,720 Speaker 6: that in the future this is a solution for those 190 00:09:12,720 --> 00:09:13,480 Speaker 6: industy you'll. 191 00:09:13,320 --> 00:09:16,160 Speaker 4: Do the other labs that blues mentioning. Are those labs 192 00:09:16,280 --> 00:09:16,840 Speaker 4: FDA approved? 193 00:09:16,880 --> 00:09:18,679 Speaker 6: I don't think they are, right, So the FDA doesn't 194 00:09:18,679 --> 00:09:21,640 Speaker 6: act like that, right they. When you're talking about a 195 00:09:21,679 --> 00:09:23,840 Speaker 6: laboratory in the United States, usually what you're looking for 196 00:09:23,920 --> 00:09:28,160 Speaker 6: is ISO compliance seventeen oh twenty five certified compliance, and 197 00:09:28,160 --> 00:09:31,600 Speaker 6: that basically you can put and there are many seventeen 198 00:09:31,600 --> 00:09:34,920 Speaker 6: oh twenty five certified cannabis testing labs that use light 199 00:09:35,000 --> 00:09:37,360 Speaker 6: lab in their lab as part of their business. Right, 200 00:09:37,400 --> 00:09:41,040 Speaker 6: but you probably wouldn't build a lab based on light 201 00:09:41,120 --> 00:09:43,200 Speaker 6: labs because you can't hook an auto sampler to the 202 00:09:43,200 --> 00:09:46,280 Speaker 6: front of this thing. Right, that's the advantage of why 203 00:09:46,320 --> 00:09:50,360 Speaker 6: a laboratory would use a bench top, more complicated system, 204 00:09:50,400 --> 00:09:53,360 Speaker 6: because they're also going to employ the chemist. The advantage 205 00:09:53,360 --> 00:09:55,600 Speaker 6: of the box is not really that it can be portable. Yes, 206 00:09:55,760 --> 00:09:58,600 Speaker 6: that's that's awesome. They live in the they live in 207 00:09:58,640 --> 00:10:02,040 Speaker 6: the mail jails on the hills of Willets, and they 208 00:10:02,200 --> 00:10:05,360 Speaker 6: are in you know, extraction rooms and they get moved 209 00:10:05,400 --> 00:10:10,080 Speaker 6: around on carts in verticalized facilities there. It's amazing to 210 00:10:10,120 --> 00:10:12,760 Speaker 6: be portable. But really the key is that it's robust 211 00:10:12,840 --> 00:10:15,439 Speaker 6: as hell and anyone can use it. Like it's when 212 00:10:15,440 --> 00:10:18,200 Speaker 6: I said, stupid proof. There's a whole lot going on 213 00:10:18,360 --> 00:10:22,400 Speaker 6: in the box that differentiate it from like a traditional technology, 214 00:10:23,080 --> 00:10:27,000 Speaker 6: because Dylan Wilkes, the inventor, was a genius and he went, 215 00:10:27,200 --> 00:10:29,080 Speaker 6: how the hell do we make this thing work when 216 00:10:29,760 --> 00:10:33,319 Speaker 6: stoners are driving it, when when people who aren't chemists, 217 00:10:33,320 --> 00:10:35,640 Speaker 6: who aren't scientists, are trying to get and it starts 218 00:10:35,640 --> 00:10:37,439 Speaker 6: with that, right, That's a big part of it is 219 00:10:37,559 --> 00:10:39,760 Speaker 6: that that's like the where all the magic happens, called 220 00:10:39,760 --> 00:10:42,120 Speaker 6: a selective separation column. 221 00:10:42,240 --> 00:10:44,280 Speaker 4: Well, Jill, let's take a break real quick, come back, 222 00:10:44,320 --> 00:10:45,720 Speaker 4: and you're going to walk us through it and see 223 00:10:45,720 --> 00:10:49,600 Speaker 4: how gumbproof it is, because gummies can follow through and go, wow, 224 00:10:49,640 --> 00:10:52,080 Speaker 4: that's pretty simple, and if their listeners can go that 225 00:10:52,280 --> 00:10:55,120 Speaker 4: sounds real easy. Jill, Let's figure out how much these 226 00:10:55,160 --> 00:10:57,320 Speaker 4: costs and let's order one for the lab. You can't 227 00:10:57,440 --> 00:10:59,360 Speaker 4: just talk what I want right back after this break. 228 00:11:00,080 --> 00:11:04,160 Speaker 1: Follow d at one Christopher Wright. Follow Joe Grunde at 229 00:11:04,280 --> 00:11:07,959 Speaker 1: Joe Grunde fifty two. Subscribe to our weekly newsletter on 230 00:11:08,000 --> 00:11:19,600 Speaker 1: our website, Cannabis Talk one on one dot com. Welcome 231 00:11:19,640 --> 00:11:24,960 Speaker 1: back to Cannabis Talk one on one number one, Canada. 232 00:11:25,240 --> 00:11:26,840 Speaker 4: I don't know if you guys seen the latest edition 233 00:11:26,880 --> 00:11:29,319 Speaker 4: of the Cannabis Talk magazine, but you got some great articles, 234 00:11:29,440 --> 00:11:31,520 Speaker 4: very cool stories in it, and we're about to release 235 00:11:31,559 --> 00:11:34,560 Speaker 4: a new magazine soon, So folks, get yourself a hard 236 00:11:34,559 --> 00:11:37,160 Speaker 4: copy day at your local dispensary of smoke shop near 237 00:11:37,200 --> 00:11:40,000 Speaker 4: you if they don't have one, to have them stutter 238 00:11:40,080 --> 00:11:43,560 Speaker 4: like I did and call us twenty nineteen eighty, or 239 00:11:43,720 --> 00:11:45,800 Speaker 4: just go online and check out the magazine at Cannabis 240 00:11:45,800 --> 00:11:49,960 Speaker 4: talkmagazine dot com and subscribe now Jill, your product looks amazing. 241 00:11:50,120 --> 00:11:53,520 Speaker 4: Let's hear how it works. You said it starts with this, like. 242 00:11:53,480 --> 00:11:55,079 Speaker 6: Walk back to the block, It starts with this. 243 00:11:55,200 --> 00:11:57,400 Speaker 3: Yeah, if we want to do a lab test right now. 244 00:11:57,600 --> 00:11:59,640 Speaker 6: No doubt. Yeah, let's talk about that. And it really 245 00:11:59,640 --> 00:12:01,480 Speaker 6: does start with this. This is where all the cannabinoids 246 00:12:01,480 --> 00:12:02,040 Speaker 6: are separated. 247 00:12:02,080 --> 00:12:02,200 Speaker 4: Right. 248 00:12:02,200 --> 00:12:04,200 Speaker 6: There's some other technologies out there in the world that 249 00:12:04,240 --> 00:12:06,640 Speaker 6: they don't have this thing, but this is where the 250 00:12:06,640 --> 00:12:08,280 Speaker 6: magic happens. This is where it goes from a big 251 00:12:08,400 --> 00:12:13,160 Speaker 6: lump of cannabinoids into twenty different cannabinoids. We separate each 252 00:12:13,160 --> 00:12:14,120 Speaker 6: in every cannabinoids. 253 00:12:14,160 --> 00:12:15,559 Speaker 3: Are you just putting a butt in there? Are you 254 00:12:15,559 --> 00:12:16,360 Speaker 3: putting a leaf in there? 255 00:12:16,400 --> 00:12:17,719 Speaker 6: So this is how it works. Let me show you 256 00:12:17,760 --> 00:12:19,720 Speaker 6: how it works, right, Okay, So the first thing you're 257 00:12:19,760 --> 00:12:22,120 Speaker 6: gonna do following through on the steps. Light Live always 258 00:12:22,160 --> 00:12:24,160 Speaker 6: tells you what steps to follow. But the first step 259 00:12:24,600 --> 00:12:27,320 Speaker 6: is give me some sample. And it says, give me 260 00:12:27,400 --> 00:12:29,760 Speaker 6: a certain amount of sample. If it's flower, it's gonna 261 00:12:29,760 --> 00:12:32,440 Speaker 6: want like three hundred milligrams, like a third of a gram. 262 00:12:32,760 --> 00:12:35,320 Speaker 6: If it's a concentrate, because that has more cannabinoids, it 263 00:12:35,400 --> 00:12:38,120 Speaker 6: needs less. So you just follow along. There's like a 264 00:12:38,160 --> 00:12:40,439 Speaker 6: full workflow on there. You say, what do I want 265 00:12:40,440 --> 00:12:43,120 Speaker 6: to test? Yeah, I want to test plant, I want 266 00:12:43,160 --> 00:12:45,120 Speaker 6: to test concentrate, I want to test me, I want 267 00:12:45,160 --> 00:12:47,120 Speaker 6: to test yeah, I want to test the chocolate. I 268 00:12:47,120 --> 00:12:50,000 Speaker 6: want to test a soda. Or you just follow through 269 00:12:50,040 --> 00:12:53,240 Speaker 6: the buttons and it says, okay, now take a third 270 00:12:53,240 --> 00:12:55,679 Speaker 6: a gram of butt and grind it up and then 271 00:12:55,720 --> 00:12:59,360 Speaker 6: put it in one of these vials. Okay, right onto 272 00:12:59,360 --> 00:13:02,280 Speaker 6: a scale and then it says, okay, add some solvent, 273 00:13:02,800 --> 00:13:04,920 Speaker 6: and so you pull solvent from these little bottles with 274 00:13:05,000 --> 00:13:08,760 Speaker 6: a syringe. It it's step by step, I mean, seriously 275 00:13:08,840 --> 00:13:10,720 Speaker 6: dummy proof to the point where we have a pro 276 00:13:10,840 --> 00:13:13,319 Speaker 6: mode because you get so sick of it being dummy proof, 277 00:13:13,720 --> 00:13:15,640 Speaker 6: where it just comes up with all the screens because 278 00:13:15,960 --> 00:13:18,320 Speaker 6: after you do five or ten tests, you're like, holy shit, 279 00:13:18,400 --> 00:13:21,520 Speaker 6: this is so easy. And that's really the point, because 280 00:13:21,640 --> 00:13:24,600 Speaker 6: it has to be that easy. But the easiness again 281 00:13:24,760 --> 00:13:27,600 Speaker 6: is it's driven by the fact that all of the 282 00:13:27,720 --> 00:13:32,880 Speaker 6: engineering is there so that it is really robust. This thing, 283 00:13:33,160 --> 00:13:35,600 Speaker 6: this column thing where I said, all that separation happens 284 00:13:35,880 --> 00:13:38,520 Speaker 6: in one of the expensive versions, like in a scientific 285 00:13:38,559 --> 00:13:41,160 Speaker 6: one of the ones that like Thermo makes or this 286 00:13:41,280 --> 00:13:45,440 Speaker 6: thing is like huge and skinny, and you have to 287 00:13:45,480 --> 00:13:47,760 Speaker 6: treat it like a baby. It costs about two thousand 288 00:13:47,760 --> 00:13:50,200 Speaker 6: dollars and you have to really take care of it 289 00:13:50,200 --> 00:13:53,640 Speaker 6: and maintain it. This is a disposable item in ours. Wow, 290 00:13:53,679 --> 00:13:55,840 Speaker 6: you run twenty five, you beat the shit out of it, 291 00:13:55,840 --> 00:13:59,240 Speaker 6: and then you throw it away and then, because maintaining 292 00:13:59,280 --> 00:14:03,040 Speaker 6: the column for accuracy is not realistic in our world. 293 00:14:03,400 --> 00:14:03,760 Speaker 3: Change it. 294 00:14:03,880 --> 00:14:04,120 Speaker 4: Yeah. 295 00:14:04,200 --> 00:14:06,240 Speaker 6: Yeah, so you just change out the column after twenty 296 00:14:06,240 --> 00:14:07,920 Speaker 6: five runs. Light Lab tells you how to do. 297 00:14:07,840 --> 00:14:10,240 Speaker 3: It, doesn't for sure? 298 00:14:10,520 --> 00:14:12,600 Speaker 6: Yeah, I mean I can simple it says it on there. Now, 299 00:14:12,600 --> 00:14:14,680 Speaker 6: I think I have sixteen runs left on this call, 300 00:14:14,720 --> 00:14:15,480 Speaker 6: on that call, and. 301 00:14:16,320 --> 00:14:20,160 Speaker 3: So you know, let's let's keep su sure. 302 00:14:20,160 --> 00:14:22,480 Speaker 6: Sure, so you have at that point, you'll have like 303 00:14:22,560 --> 00:14:25,080 Speaker 6: a bunch of green bud and solvent in your right, 304 00:14:25,120 --> 00:14:28,240 Speaker 6: ground up bud and solvent inside this file and you 305 00:14:28,280 --> 00:14:30,320 Speaker 6: put it on this shaker and light Lab times that 306 00:14:30,440 --> 00:14:33,520 Speaker 6: you see that's shaking. Maybe the microphone picked that up. 307 00:14:34,560 --> 00:14:37,240 Speaker 6: And it's basically doing extraction, right, We're always talking about 308 00:14:37,280 --> 00:14:40,480 Speaker 6: extraction in cannabis. But it's sucking the cannabinoids that solvent 309 00:14:40,560 --> 00:14:42,960 Speaker 6: is pulling all the cannabinoids out of whatever sample that is. 310 00:14:43,120 --> 00:14:44,640 Speaker 6: So if it's a gummy, if it's a blue gummy, 311 00:14:44,680 --> 00:14:47,400 Speaker 6: the solvent turns blue. If it's really fresh baby plants, 312 00:14:47,400 --> 00:14:50,480 Speaker 6: it looks like mountain dew. And then you take a 313 00:14:50,520 --> 00:14:53,680 Speaker 6: syringe and you inject it. You see that little white 314 00:14:53,760 --> 00:14:57,200 Speaker 6: port over here, I'm going to kind of walk up. Yeah, yes, 315 00:15:00,120 --> 00:15:02,160 Speaker 6: use one of these syringes and you inject some of 316 00:15:02,200 --> 00:15:05,520 Speaker 6: that sample in there, and that's it. And that injection again, 317 00:15:05,560 --> 00:15:07,760 Speaker 6: that's a whole thing that we've dummy proofed as well, 318 00:15:07,800 --> 00:15:09,880 Speaker 6: because normally as scientists, you think of a scientists, they're 319 00:15:09,960 --> 00:15:12,800 Speaker 6: using pipe pits and they're being all careful. No way, 320 00:15:13,000 --> 00:15:16,320 Speaker 6: that's impossible. That's almost impossible in the lab too, So 321 00:15:16,360 --> 00:15:18,720 Speaker 6: we do this crazy thing where we overfill a sample 322 00:15:18,760 --> 00:15:20,760 Speaker 6: loop and makes it so you cannot mess it up, 323 00:15:21,440 --> 00:15:25,560 Speaker 6: and then cannabinoids. The chromatography does its work from there. 324 00:15:25,840 --> 00:15:29,200 Speaker 6: It is a three minute sample prep. So you're adding 325 00:15:29,240 --> 00:15:32,360 Speaker 6: sample to the vial, you're adding solvent into there, you're 326 00:15:32,400 --> 00:15:34,920 Speaker 6: shaking it, and then you inject and from there light 327 00:15:35,000 --> 00:15:36,600 Speaker 6: lab does its thing. It's eight minutes. 328 00:15:37,160 --> 00:15:38,640 Speaker 4: Where's that little thing that you told me. 329 00:15:38,680 --> 00:15:40,280 Speaker 3: That is that on the column? 330 00:15:40,400 --> 00:15:41,280 Speaker 6: Yeah, it's right here. 331 00:15:41,680 --> 00:15:44,240 Speaker 4: That's right there already. Okay, so that just goes there. 332 00:15:44,280 --> 00:15:46,000 Speaker 4: You don't put anything in that column, Nope. 333 00:15:46,040 --> 00:15:47,720 Speaker 6: So the light lab basically has a whole bunch of 334 00:15:47,760 --> 00:15:50,200 Speaker 6: pumps and stuff underneath there, and once you make the 335 00:15:50,280 --> 00:15:53,920 Speaker 6: injection into that injection port, light lab carries that sample 336 00:15:53,920 --> 00:15:56,480 Speaker 6: through and then it actually transverses down the column. And 337 00:15:56,480 --> 00:15:58,680 Speaker 6: here's a great analogy, right, think back to high school. 338 00:16:00,160 --> 00:16:02,280 Speaker 6: A good thought, maybe a bad thought. He was the 339 00:16:02,280 --> 00:16:05,560 Speaker 6: players in the room. Imagine you've got to get to 340 00:16:05,600 --> 00:16:08,880 Speaker 6: the other end of the hallway before the bell rings, right, 341 00:16:09,960 --> 00:16:14,320 Speaker 6: and the hallway is full of people. Well, each kid 342 00:16:14,360 --> 00:16:17,520 Speaker 6: passing through the hallway is a different cannabinoid, right, And 343 00:16:17,600 --> 00:16:20,480 Speaker 6: if you're a nerdy kid, you just go right through 344 00:16:20,480 --> 00:16:24,960 Speaker 6: the hallway really fast, zoom, you are CPGA. But if 345 00:16:24,960 --> 00:16:27,600 Speaker 6: you're like mister cool and you're talking to everybody as 346 00:16:27,600 --> 00:16:32,200 Speaker 6: you moved down the hallway, your THHCA. Every cannabinoid has 347 00:16:32,200 --> 00:16:34,640 Speaker 6: a different ellution time is what that's called. So they 348 00:16:34,680 --> 00:16:37,240 Speaker 6: come out of the bottom of the column at different times, 349 00:16:37,240 --> 00:16:39,880 Speaker 6: and then they get measured by a couple of differenttectives. 350 00:16:40,280 --> 00:16:43,360 Speaker 4: Yep, yeah, And you guys, that was a great analogy 351 00:16:43,360 --> 00:16:45,880 Speaker 4: and you guys measure nineteen different cannabinoids. 352 00:16:45,960 --> 00:16:48,720 Speaker 6: It's actually twenty now, but that twentieth is kind of 353 00:16:48,720 --> 00:16:50,880 Speaker 6: a secret, so I didn't say that. 354 00:16:51,080 --> 00:16:52,240 Speaker 3: You can't talk about that. 355 00:16:52,680 --> 00:16:54,840 Speaker 6: You know, it's kind of awesome that we work with 356 00:16:54,880 --> 00:16:59,920 Speaker 6: some of the leading edge genetic you know, breeders of 357 00:17:00,080 --> 00:17:02,640 Speaker 6: cannabis in the country and they are working on some 358 00:17:02,760 --> 00:17:06,040 Speaker 6: amazing stuff and cannabinoids that nobody is talking about. 359 00:17:06,840 --> 00:17:10,399 Speaker 4: No, that's not I love. Yeah, that's the thing that 360 00:17:10,440 --> 00:17:13,199 Speaker 4: we talk about when it's still infinite of what it 361 00:17:13,240 --> 00:17:14,320 Speaker 4: can do, Like we don't know. 362 00:17:14,600 --> 00:17:18,000 Speaker 6: We test so few molecules, I mean, never mind the 363 00:17:18,040 --> 00:17:19,639 Speaker 6: fact that there are so many things that we do. 364 00:17:19,840 --> 00:17:23,199 Speaker 6: We talk about terpenes, and we talk about cannabinoids, but 365 00:17:23,200 --> 00:17:25,320 Speaker 6: we don't talk about flabinoids. We don't talk about all 366 00:17:25,359 --> 00:17:28,880 Speaker 6: these molecules that as a scientist, as a consumer, as 367 00:17:29,000 --> 00:17:32,920 Speaker 6: a biologist, it's a full picture thing, man. And yeah, 368 00:17:32,960 --> 00:17:34,280 Speaker 6: we have a lot to learn. That's what I'm most 369 00:17:34,280 --> 00:17:35,720 Speaker 6: excited about where we are right now. 370 00:17:36,480 --> 00:17:40,800 Speaker 2: Excuse me to your professional opinion is is is cannabis medicinal? 371 00:17:41,400 --> 00:17:43,320 Speaker 6: I think all cannabis is medicinal, even if you're just 372 00:17:43,400 --> 00:17:46,040 Speaker 6: using it to have fun. Yeah, fun is therapy. 373 00:17:46,280 --> 00:17:47,560 Speaker 3: Yeah, yeah, I agree. 374 00:17:47,880 --> 00:17:52,119 Speaker 4: Yeah, And what as you said, the cannabinoids twenty, is 375 00:17:52,160 --> 00:17:56,440 Speaker 4: there quote unquote the bigger ones it tests for the 376 00:17:56,720 --> 00:18:00,359 Speaker 4: like I can only imagine that THC is going to 377 00:18:00,440 --> 00:18:04,320 Speaker 4: be mandatory for these borders, right, like, oh, you're bringing 378 00:18:04,400 --> 00:18:05,879 Speaker 4: something over, so we need to know. 379 00:18:06,200 --> 00:18:08,040 Speaker 6: We kind of break them into subsets. So it's a 380 00:18:08,040 --> 00:18:11,400 Speaker 6: good question. Like we have like module like chunks of cannabinoids. 381 00:18:11,440 --> 00:18:13,399 Speaker 6: That's how we look at them. So we have like 382 00:18:13,440 --> 00:18:16,600 Speaker 6: the majors, which are like THHC A and D nine 383 00:18:16,720 --> 00:18:19,440 Speaker 6: and things like that, CBDA, and then we have minors, 384 00:18:19,800 --> 00:18:23,359 Speaker 6: so then you're moving into things like CBN, right, cbna, 385 00:18:23,600 --> 00:18:27,720 Speaker 6: things like that. And then we have converted or synthetic cannabinoids. 386 00:18:27,920 --> 00:18:34,040 Speaker 6: So those are things like thhco, HHC, D eight cannabinoids 387 00:18:34,080 --> 00:18:37,920 Speaker 6: that exist potentially naturally in a plant, but not the 388 00:18:37,960 --> 00:18:40,760 Speaker 6: way we consume them. Sure, Like every way we've we 389 00:18:40,800 --> 00:18:44,600 Speaker 6: consume D eight or HHC or thhco, it's been chemically 390 00:18:44,640 --> 00:18:47,800 Speaker 6: converted from usually cvq so delta. 391 00:18:47,880 --> 00:18:52,000 Speaker 3: It's really it's a it's a it's not natural. 392 00:18:52,240 --> 00:18:54,600 Speaker 6: It's a no. No, I mean it can, it can 393 00:18:54,680 --> 00:18:58,639 Speaker 6: occur really really tiny amounts naturally. But why we have 394 00:18:58,800 --> 00:19:01,680 Speaker 6: Delta eight in the United States is because people grew 395 00:19:01,720 --> 00:19:04,439 Speaker 6: way too much hemp a few years ago, right, And 396 00:19:04,480 --> 00:19:07,480 Speaker 6: then that hemp sat in warehouses for a very long time. 397 00:19:07,520 --> 00:19:10,480 Speaker 6: Some of it was converted to CBG extract and just 398 00:19:10,480 --> 00:19:14,000 Speaker 6: sitting around, and a lot of really smart folks chemists 399 00:19:14,000 --> 00:19:17,800 Speaker 6: themselves decided and figured out like, wow, we can use 400 00:19:17,840 --> 00:19:20,800 Speaker 6: a process that's kind of like making lemonade. It's pretty straightforward, 401 00:19:20,880 --> 00:19:25,720 Speaker 6: simple chemistry process to turn that into a molecule called 402 00:19:25,760 --> 00:19:28,720 Speaker 6: D eight, and D eight it's so similar to D nine, right, 403 00:19:28,760 --> 00:19:32,160 Speaker 6: It's really very chemically similar in how our body. And 404 00:19:32,640 --> 00:19:35,760 Speaker 6: so that's why we have D eight. It's because it 405 00:19:35,920 --> 00:19:41,480 Speaker 6: was easy to make from CBG and it's federally legal, right, 406 00:19:41,560 --> 00:19:43,760 Speaker 6: because it slides into like a big ol' wie loop. 407 00:19:45,040 --> 00:19:47,520 Speaker 3: Yeah. Yeah, a lot of good things that happened in 408 00:19:47,560 --> 00:19:48,240 Speaker 3: the gray area. 409 00:19:48,359 --> 00:19:51,560 Speaker 6: Yeah, I mean, And that's the thing. We it's such 410 00:19:51,560 --> 00:19:56,959 Speaker 6: a strange time because I believe in capitalism. I believe 411 00:19:57,080 --> 00:20:00,600 Speaker 6: in consumerism, but I believe in safety. That's like the 412 00:20:00,680 --> 00:20:05,240 Speaker 6: hardest thing for safe Delta eight and it's so easy 413 00:20:05,280 --> 00:20:07,400 Speaker 6: to make that there's plenty of Delta eight out there 414 00:20:07,440 --> 00:20:10,280 Speaker 6: that I don't believe is safe. And it's not that 415 00:20:10,320 --> 00:20:15,800 Speaker 6: the Delta eight is unsafe inherently, it's that most people 416 00:20:15,880 --> 00:20:19,880 Speaker 6: aren't using what's called separative chromatography to make their Delta eight, 417 00:20:19,880 --> 00:20:21,680 Speaker 6: which is a way to like no, I just talked 418 00:20:21,680 --> 00:20:24,080 Speaker 6: talk about how they come out of here separately. You 419 00:20:24,119 --> 00:20:26,280 Speaker 6: can like cut off. You can use a big one 420 00:20:26,280 --> 00:20:28,800 Speaker 6: of these and like cut off, oh, between Delta eight 421 00:20:28,840 --> 00:20:31,560 Speaker 6: and Delta nine. Stop it. If you do that, you 422 00:20:31,600 --> 00:20:34,000 Speaker 6: can just have Delta eight. But the problem is, we 423 00:20:34,119 --> 00:20:38,040 Speaker 6: tested like thousands of Delta eight products and almost all 424 00:20:38,119 --> 00:20:41,479 Speaker 6: of them have Delta nine, guys, because it's really hard 425 00:20:41,960 --> 00:20:44,200 Speaker 6: to not make a little Delta nine. When you make 426 00:20:44,240 --> 00:20:47,359 Speaker 6: Delta eight, sometimes you have twenty five percent Delta nine. 427 00:20:47,880 --> 00:20:50,560 Speaker 6: And so that's like kind of the weird room. And 428 00:20:50,600 --> 00:20:52,200 Speaker 6: I think there's just so many people that are still 429 00:20:52,240 --> 00:20:55,480 Speaker 6: learning about cannabis and coming into their first cannabis experiences, 430 00:20:56,240 --> 00:20:58,639 Speaker 6: especially you know, I just write a study people sixty 431 00:20:58,640 --> 00:21:01,000 Speaker 6: five and above. They're like they're the number one group 432 00:21:01,080 --> 00:21:03,240 Speaker 6: jumping in Yeah, and when they see the words hemp 433 00:21:03,359 --> 00:21:08,760 Speaker 6: derived associated with a Delta eight product. I would prefer 434 00:21:08,840 --> 00:21:12,679 Speaker 6: that my granny starts our cannabis path on something that 435 00:21:12,720 --> 00:21:14,960 Speaker 6: I know is naturally a naturally. 436 00:21:14,600 --> 00:21:16,480 Speaker 4: And do you think hemp derived is a better start? 437 00:21:16,720 --> 00:21:18,680 Speaker 6: I think the words hemp derived are abused. 438 00:21:19,119 --> 00:21:23,399 Speaker 2: Yeah, it's because there's a psychoactive effect from the Delta 439 00:21:23,720 --> 00:21:26,560 Speaker 2: eight and then and and so you think that you're 440 00:21:26,560 --> 00:21:28,439 Speaker 2: not going to be getting as high because that's what 441 00:21:28,520 --> 00:21:29,920 Speaker 2: the story and the words going around. 442 00:21:29,960 --> 00:21:31,600 Speaker 3: Then all of a sudden, you hit this Delta eight 443 00:21:31,640 --> 00:21:32,560 Speaker 3: and you're just bamed. 444 00:21:32,600 --> 00:21:35,480 Speaker 6: We just have a whole lot of education room to fill. 445 00:21:35,920 --> 00:21:40,240 Speaker 6: But there's just the amazing capitalistic nature of the United 446 00:21:40,280 --> 00:21:42,639 Speaker 6: States has made it so that there's product everywhere. You 447 00:21:42,680 --> 00:21:44,679 Speaker 6: can kind of get it everywhere, and the slipperiness of 448 00:21:44,760 --> 00:21:47,400 Speaker 6: the laws make it so that you really can get 449 00:21:47,440 --> 00:21:50,919 Speaker 6: access to kind of anything anywhere, which, hell, yeah, go 450 00:21:51,040 --> 00:21:54,320 Speaker 6: twenty twenty three. But I'm also like a little concerned. 451 00:21:54,480 --> 00:21:56,800 Speaker 2: Yeah, the wrong person gets it thinking that they're going 452 00:21:56,880 --> 00:21:58,360 Speaker 2: to go for a slow ride and it turns into 453 00:21:58,400 --> 00:21:59,040 Speaker 2: be a fast one. 454 00:21:59,160 --> 00:22:00,840 Speaker 6: Yeah. And I'm a mom, right, like, I don't I 455 00:22:00,840 --> 00:22:03,280 Speaker 6: don't like gummis that look like shit that my kids 456 00:22:03,280 --> 00:22:06,040 Speaker 6: would eat. I don't think they probably put it in 457 00:22:06,119 --> 00:22:06,440 Speaker 6: their mouth. 458 00:22:06,440 --> 00:22:08,240 Speaker 4: They're going, oh, what what is it? So Jill, being 459 00:22:08,280 --> 00:22:11,879 Speaker 4: a scientist and a bio expert with everything that you've 460 00:22:11,920 --> 00:22:14,600 Speaker 4: been doing for years and having the history of working 461 00:22:14,640 --> 00:22:17,360 Speaker 4: with major companies that do this, As you look at 462 00:22:17,359 --> 00:22:19,440 Speaker 4: this THC and I hear what you're saying, is there 463 00:22:19,440 --> 00:22:22,680 Speaker 4: a breakdown of categories of what would be better for 464 00:22:22,760 --> 00:22:26,520 Speaker 4: you to use for your own body? Is like these THCs, 465 00:22:26,560 --> 00:22:30,520 Speaker 4: these cbdsc like is there, like these ones are the best? 466 00:22:30,920 --> 00:22:34,640 Speaker 4: Those are secondary? Those are like what is your scientific proof? Say? 467 00:22:34,800 --> 00:22:38,320 Speaker 6: Oh, man, well, no, I'm I'm definitely not even going 468 00:22:38,400 --> 00:22:40,800 Speaker 6: to approach that because that would make me not a scientist. 469 00:22:40,800 --> 00:22:43,000 Speaker 6: If I just threw that shit against the wall, I 470 00:22:43,040 --> 00:22:46,160 Speaker 6: would say, though my personal belief, Okay, Right, there's plenty 471 00:22:46,200 --> 00:22:49,040 Speaker 6: of scientific evidence to show which cannabinoids are good for 472 00:22:49,080 --> 00:22:53,000 Speaker 6: you in different ways. Right, I believe the focus on 473 00:22:53,400 --> 00:22:59,680 Speaker 6: really high THC cannabis is contrary to what most people's 474 00:22:59,760 --> 00:23:03,600 Speaker 6: end up cannabinoid systems is really asking for. And most 475 00:23:03,640 --> 00:23:05,600 Speaker 6: of us would be better with what is called a 476 00:23:05,680 --> 00:23:10,119 Speaker 6: type two plant, type one all THC. Right, that's what 477 00:23:10,200 --> 00:23:12,200 Speaker 6: we all smoke every day. Yeah, Type three is hemp. 478 00:23:12,440 --> 00:23:15,320 Speaker 6: Type two is a balance, and those went away, but 479 00:23:15,400 --> 00:23:19,200 Speaker 6: they're coming back. Really, Yeah, definitely. And there's a whole trend, 480 00:23:19,240 --> 00:23:20,560 Speaker 6: like you can go to certain parts of the nation 481 00:23:20,600 --> 00:23:25,160 Speaker 6: and people buy really nice smokable hemp and blend. They 482 00:23:25,160 --> 00:23:27,800 Speaker 6: make their own thirty seventy blends stuff like that, and 483 00:23:28,440 --> 00:23:30,639 Speaker 6: I see a trend. There's a lot of great genetics 484 00:23:30,640 --> 00:23:34,600 Speaker 6: companies get right. Yeah. And it's not just that it's 485 00:23:34,720 --> 00:23:38,560 Speaker 6: less THHC, guys, it's the balance of the other cannabinoids 486 00:23:38,560 --> 00:23:40,560 Speaker 6: that are in there. Just a little bit of CVC. Man, 487 00:23:42,280 --> 00:23:42,800 Speaker 6: I am. 488 00:23:43,400 --> 00:23:47,160 Speaker 4: Your body with more of the medicine so to speak. Yeah, 489 00:23:47,240 --> 00:23:50,240 Speaker 4: that's within the plant rather than just going super high 490 00:23:50,280 --> 00:23:51,920 Speaker 4: THC because I just want to be high. 491 00:23:52,119 --> 00:23:53,520 Speaker 6: Well, I think it's a bang for the buck. I 492 00:23:53,520 --> 00:23:56,240 Speaker 6: think it's a natural tendency as consumers that we have 493 00:23:56,320 --> 00:23:59,199 Speaker 6: so much money and we think that's the value. But 494 00:23:59,359 --> 00:24:01,679 Speaker 6: I like to kind of retrains people's minds to go 495 00:24:01,760 --> 00:24:07,120 Speaker 6: for total cannabinoids, Like how many different types of cannabinoids 496 00:24:07,240 --> 00:24:10,600 Speaker 6: can you get in your weed outside of THHC. That's 497 00:24:10,640 --> 00:24:12,840 Speaker 6: the question to ask yourn ext blunt tender. Do you 498 00:24:12,880 --> 00:24:14,840 Speaker 6: have a do you have a variety with more than 499 00:24:14,920 --> 00:24:18,760 Speaker 6: three cannabinoids listed on the CoA? That's the question to 500 00:24:18,800 --> 00:24:20,480 Speaker 6: ask your blood tender and. 501 00:24:20,440 --> 00:24:22,480 Speaker 4: How many cannabinoids can one get. 502 00:24:23,520 --> 00:24:28,119 Speaker 6: I look for strains that have four four cannabinoids. Usually 503 00:24:28,880 --> 00:24:33,439 Speaker 6: that's my you know, go THHC of course THHC, A 504 00:24:33,480 --> 00:24:38,439 Speaker 6: CBG a CBC and like sometimes like depending on what 505 00:24:38,480 --> 00:24:44,800 Speaker 6: you're looking for, CBN is usually something that most people aren't, right, yeah, 506 00:24:44,800 --> 00:24:48,800 Speaker 6: but it's in in cannabis. It can signify some bad things, 507 00:24:48,840 --> 00:24:51,560 Speaker 6: like the cannabis has gone too long, But also like 508 00:24:52,160 --> 00:24:54,399 Speaker 6: if that's the medicine that your body likes, who cares? 509 00:24:54,440 --> 00:24:57,240 Speaker 6: Like the plant made it eventually and that's what you're consuming. 510 00:24:57,320 --> 00:25:00,760 Speaker 6: So I would always be interested in a variety that 511 00:25:00,880 --> 00:25:03,120 Speaker 6: like had a little bit of that. But definitely I'm 512 00:25:03,119 --> 00:25:05,600 Speaker 6: always searching for that. But it's a measure of terpenes too, 513 00:25:05,680 --> 00:25:08,560 Speaker 6: right Like, And that's that's an important conversation to have 514 00:25:08,640 --> 00:25:12,200 Speaker 6: as well, is do you have a when you smell something? 515 00:25:12,240 --> 00:25:16,040 Speaker 6: When you smell the nose nose when you smell your cannabis, 516 00:25:16,600 --> 00:25:20,520 Speaker 6: are you having a specific reaction or you know, relationship 517 00:25:20,560 --> 00:25:23,080 Speaker 6: with terpenes that are there. And that's a big part 518 00:25:23,080 --> 00:25:27,240 Speaker 6: of your experience with cannabis and how the nose nose. 519 00:25:27,080 --> 00:25:28,840 Speaker 2: When you smell and you don't like it you don't 520 00:25:28,840 --> 00:25:30,280 Speaker 2: want to smell it, yeah, or. 521 00:25:30,280 --> 00:25:32,720 Speaker 3: Like if you're like good, I like it. 522 00:25:32,920 --> 00:25:35,080 Speaker 6: Yeah, when you're a pining fan, or like I'm an 523 00:25:35,080 --> 00:25:38,360 Speaker 6: osumine fan, right, like my man makes fun of He's like, oh, 524 00:25:38,400 --> 00:25:40,320 Speaker 6: that you're gonna like that one because that's osuman He 525 00:25:40,359 --> 00:25:43,400 Speaker 6: knows exactly which one. I like it because yeah, tell 526 00:25:43,440 --> 00:25:45,240 Speaker 6: and that it makes it makes me happy every time. 527 00:25:45,600 --> 00:25:47,080 Speaker 6: You know, there's certain things that do it for you. 528 00:25:47,119 --> 00:25:48,560 Speaker 6: So there's there's so much to learn. 529 00:25:48,640 --> 00:25:51,080 Speaker 3: Though I've been asking for the giggly for a long time. 530 00:25:51,440 --> 00:25:54,600 Speaker 6: You've been asking for the giggly specifically. 531 00:25:53,960 --> 00:25:56,200 Speaker 3: Yeah, I want something like can you make that though? 532 00:25:56,240 --> 00:25:57,560 Speaker 3: I mean, yeah, you think. 533 00:25:58,720 --> 00:26:03,159 Speaker 6: I think there is some subset of cannabinoid balance and 534 00:26:03,280 --> 00:26:08,760 Speaker 6: turpings that definitely makes Blue giggle. And he needs to. 535 00:26:08,720 --> 00:26:11,359 Speaker 4: Find we're younger, Like, I could totally relate to what 536 00:26:11,400 --> 00:26:14,040 Speaker 4: he's saying because when we were younger, I remember getting 537 00:26:14,119 --> 00:26:16,920 Speaker 4: high to And here's what I've never even said this 538 00:26:16,960 --> 00:26:19,640 Speaker 4: when you mentioned this, I'll never forget being with my boys. 539 00:26:19,640 --> 00:26:21,280 Speaker 3: And he goes watch out for the dead. 540 00:26:21,119 --> 00:26:23,159 Speaker 4: Bird and he hits them up with the roof and 541 00:26:23,200 --> 00:26:24,560 Speaker 4: we're high in the car and I just thought it 542 00:26:24,600 --> 00:26:27,000 Speaker 4: was the funniest shit ever. I'm in high school, and 543 00:26:27,080 --> 00:26:30,720 Speaker 4: I laughed so hard because there's no dead birds. 544 00:26:30,480 --> 00:26:30,960 Speaker 3: Up in the air. 545 00:26:31,000 --> 00:26:33,520 Speaker 5: First off the funny line, and he just hits the roof, 546 00:26:33,560 --> 00:26:34,280 Speaker 5: like we just hit. 547 00:26:34,119 --> 00:26:34,680 Speaker 3: A dead bird. 548 00:26:34,720 --> 00:26:37,800 Speaker 4: And I giggled so hard and we're stone and it's 549 00:26:37,840 --> 00:26:41,120 Speaker 4: just stupid. But don't you hear some stupid the funniest 550 00:26:41,119 --> 00:26:41,600 Speaker 4: thing ever. 551 00:26:42,000 --> 00:26:44,760 Speaker 2: Yeah, you can't stop laughing, that uncontrollable laugh, you know, 552 00:26:45,160 --> 00:26:47,240 Speaker 2: because I feel like a lot of the cannabis. 553 00:26:47,240 --> 00:26:47,400 Speaker 6: Now. 554 00:26:47,480 --> 00:26:50,000 Speaker 3: Sometimes i'll hit it. I might get paranoid. 555 00:26:50,480 --> 00:26:53,120 Speaker 2: Depending on what I'm dealing with, I might feel tired 556 00:26:53,560 --> 00:26:57,320 Speaker 2: or just not thinking quick enough. Sometimes I'm very sharp 557 00:26:57,359 --> 00:26:59,160 Speaker 2: and I'm like, this is awesome. I want to work, 558 00:26:59,600 --> 00:27:01,960 Speaker 2: you know, And I go through these different emotions, but 559 00:27:02,119 --> 00:27:04,439 Speaker 2: I don't know, you know, And then it sucks because 560 00:27:04,880 --> 00:27:07,159 Speaker 2: I might smoke something and be like, oh, that's you 561 00:27:07,200 --> 00:27:11,320 Speaker 2: know whatever, O g cush and and I loved it. 562 00:27:11,400 --> 00:27:13,280 Speaker 2: The next time I smoke it, it's not the same, 563 00:27:13,600 --> 00:27:16,040 Speaker 2: and that's it's close to the same, And then I'm 564 00:27:16,040 --> 00:27:18,440 Speaker 2: already they're called the same, and they're. 565 00:27:18,240 --> 00:27:20,439 Speaker 3: Called whatever they want to be called, and it's like 566 00:27:20,440 --> 00:27:20,920 Speaker 3: they're just. 567 00:27:20,840 --> 00:27:23,960 Speaker 6: Calling there's very few rules to prevent you from renaming 568 00:27:24,040 --> 00:27:25,480 Speaker 6: something in most systems. 569 00:27:25,720 --> 00:27:28,080 Speaker 3: Okay, are they going to change that or no? 570 00:27:28,080 --> 00:27:29,959 Speaker 6: No, I mean I look to I mean a lot 571 00:27:30,000 --> 00:27:32,960 Speaker 6: of people there's mixed feelings about like a federal cannabis state, 572 00:27:33,359 --> 00:27:36,640 Speaker 6: but I look to a federal cannabis state, mostly because 573 00:27:36,680 --> 00:27:40,160 Speaker 6: I believe in the power of science that will come 574 00:27:40,240 --> 00:27:43,080 Speaker 6: with federal cannabis state, and that like, we could have 575 00:27:43,119 --> 00:27:45,879 Speaker 6: more answers to these questions guys, that we do. But 576 00:27:46,080 --> 00:27:49,280 Speaker 6: right now we have this crazy patchwork of state by state, 577 00:27:49,600 --> 00:27:52,600 Speaker 6: you know, control and regulation that gives us zero insight 578 00:27:52,640 --> 00:27:55,720 Speaker 6: to what's being grown from one to the next, because legally, 579 00:27:55,960 --> 00:27:57,919 Speaker 6: you can't really get the job done from one to 580 00:27:57,960 --> 00:27:59,119 Speaker 6: the next, right You've got to do a lot of 581 00:27:59,160 --> 00:28:02,879 Speaker 6: back ended stuff. So we're in a place now where 582 00:28:02,960 --> 00:28:06,720 Speaker 6: we're still even as thirty four states main legal and 583 00:28:06,760 --> 00:28:09,840 Speaker 6: all this greatness happening, we're still in place where we're 584 00:28:09,880 --> 00:28:13,399 Speaker 6: totally ignorant to things like this. And like I believe, 585 00:28:13,400 --> 00:28:17,240 Speaker 6: there's lots of groups that are working towards like amazing 586 00:28:17,320 --> 00:28:20,480 Speaker 6: science to try to capture that. If something's called white widow, 587 00:28:21,480 --> 00:28:25,200 Speaker 6: what's the genealogic, what's the structure at a DNA level. 588 00:28:25,600 --> 00:28:28,880 Speaker 6: What what you know? It's it's different ways. You can chemotype, 589 00:28:28,920 --> 00:28:32,960 Speaker 6: you can phenotype, you can look at the plant in 590 00:28:33,000 --> 00:28:35,399 Speaker 6: different ways in a biological structure. And it's a very 591 00:28:35,440 --> 00:28:37,920 Speaker 6: traditional scientific way of looking at a plant. Right, We've 592 00:28:37,960 --> 00:28:41,560 Speaker 6: just never done that, like with cannabis, and frankly, like 593 00:28:42,480 --> 00:28:46,960 Speaker 6: the strains that we all dig, the most popular strains 594 00:28:47,000 --> 00:28:50,640 Speaker 6: across the nation, they come from a really small subset 595 00:28:50,840 --> 00:28:54,200 Speaker 6: of of seeds of gene of the gene pool, and 596 00:28:54,240 --> 00:28:55,880 Speaker 6: I look forward to when it's a way bigger subset. 597 00:28:56,000 --> 00:28:58,640 Speaker 4: When Blue mentions that how he smokes an O gene, 598 00:28:58,640 --> 00:29:00,440 Speaker 4: it affects him one way and then tries to get 599 00:29:00,440 --> 00:29:03,680 Speaker 4: it again the next day, and it doesn't. Does that 600 00:29:03,800 --> 00:29:06,440 Speaker 4: have to do as well with his own blood type, 601 00:29:06,560 --> 00:29:10,360 Speaker 4: body type and everything else too, Like anything we all consume. 602 00:29:11,280 --> 00:29:13,080 Speaker 4: You guys can smoke this. We could all smoke the 603 00:29:13,080 --> 00:29:15,760 Speaker 4: same exact thing, but wouldn't affect us all differently. 604 00:29:15,840 --> 00:29:18,200 Speaker 6: Yeah, even even though you just said sometimes things give 605 00:29:18,240 --> 00:29:21,959 Speaker 6: me anxiety. Right, that's and danamite, I'm gonna mess up 606 00:29:22,200 --> 00:29:24,560 Speaker 6: what that's called, but that's basically the molecule in your 607 00:29:24,560 --> 00:29:27,040 Speaker 6: body that either makes you high but sometimes depending on 608 00:29:27,080 --> 00:29:31,360 Speaker 6: your own makeup, that's what your body releases when you 609 00:29:31,440 --> 00:29:35,720 Speaker 6: get cannabinoids and damie and so. But sometimes that makes 610 00:29:35,720 --> 00:29:39,320 Speaker 6: people look really paranoid and gets all sorts of anxiety 611 00:29:39,360 --> 00:29:42,560 Speaker 6: depending on how much your body releases. And that's relating 612 00:29:42,640 --> 00:29:43,920 Speaker 6: to the weed, and that's related to how much you 613 00:29:44,040 --> 00:29:45,080 Speaker 6: ate and drank and all the stuff. 614 00:29:45,280 --> 00:29:46,720 Speaker 3: A lot of feel that way. 615 00:29:47,040 --> 00:29:49,360 Speaker 2: I mean, so I used to I used to smoke, 616 00:29:49,560 --> 00:29:55,240 Speaker 2: you know, blunts and everything, right, bong whatever, and you know, 617 00:29:55,320 --> 00:29:57,640 Speaker 2: I didn't really have that problem. And then I got 618 00:29:57,640 --> 00:29:59,600 Speaker 2: to a certain age and then i'd smoke and it's 619 00:29:59,640 --> 00:30:01,760 Speaker 2: just like you know, and I just sit in a 620 00:30:01,840 --> 00:30:05,160 Speaker 2: room and I wouldn't feel paranoid and more anxiety, like just. 621 00:30:05,880 --> 00:30:07,280 Speaker 6: When is this going to be over? Yeah? 622 00:30:08,040 --> 00:30:10,200 Speaker 3: I feel so stressed out and I'm like, what the 623 00:30:10,240 --> 00:30:10,959 Speaker 3: hell is this? 624 00:30:11,080 --> 00:30:11,280 Speaker 4: You know? 625 00:30:11,360 --> 00:30:14,640 Speaker 3: And then sometimes I'll smoke and it's just I love it. 626 00:30:14,680 --> 00:30:16,160 Speaker 2: And so I've learned to do it, just smoke a 627 00:30:16,200 --> 00:30:19,200 Speaker 2: little less and then and then okay, I like this one, 628 00:30:19,400 --> 00:30:20,040 Speaker 2: and then I could. 629 00:30:19,880 --> 00:30:20,440 Speaker 3: Smoke more of it. 630 00:30:20,520 --> 00:30:22,360 Speaker 2: I can smoke as much as I want, but if 631 00:30:22,360 --> 00:30:25,320 Speaker 2: if if I just indulge and I start hitting it 632 00:30:25,360 --> 00:30:28,200 Speaker 2: and don't wait for the little effect to hit me. 633 00:30:28,720 --> 00:30:30,640 Speaker 2: Then I'm in a bad place and I don't want 634 00:30:30,640 --> 00:30:32,840 Speaker 2: to be there, you know, so it bothers me. 635 00:30:32,880 --> 00:30:34,360 Speaker 3: But one thing I want to ask you is this 636 00:30:34,560 --> 00:30:38,240 Speaker 3: is because you have I. 637 00:30:38,160 --> 00:30:40,840 Speaker 2: Think I look into the future more than most people, 638 00:30:41,200 --> 00:30:43,960 Speaker 2: because you're intelligence and the things scientists that you've been 639 00:30:44,000 --> 00:30:44,520 Speaker 2: working on. 640 00:30:45,760 --> 00:30:50,720 Speaker 3: When or is it everyone to be federalized? One one 641 00:30:50,720 --> 00:30:51,800 Speaker 3: will be right back after this. 642 00:30:52,400 --> 00:30:53,320 Speaker 4: Your name counted out. 643 00:30:53,320 --> 00:30:59,080 Speaker 1: Live on the hill, Tie eighty and leave on the point. 644 00:30:59,080 --> 00:30:59,360 Speaker 2: Mail. 645 00:30:59,560 --> 00:31:02,320 Speaker 1: Make sure you like, follow and subscribe to Cannabis Talk 646 00:31:02,360 --> 00:31:11,280 Speaker 1: one on one. Now now back to the number one 647 00:31:11,320 --> 00:31:12,680 Speaker 1: cannabis show on the planet. 648 00:31:13,360 --> 00:31:16,800 Speaker 4: You know what gets Now back to the number one 649 00:31:16,800 --> 00:31:18,440 Speaker 4: cannabis show in the universe. 650 00:31:18,720 --> 00:31:20,160 Speaker 5: Tonnabus Talk one O one. 651 00:31:20,400 --> 00:31:22,520 Speaker 4: Juring your tip of bard of something special, Folks, When 652 00:31:22,520 --> 00:31:25,120 Speaker 4: I'm talking about this company, you better know it's that 653 00:31:25,200 --> 00:31:27,280 Speaker 4: infused products that the flavor. 654 00:31:26,960 --> 00:31:27,720 Speaker 6: We all love. 655 00:31:27,800 --> 00:31:30,400 Speaker 4: When you taste it, you just know it's so good 656 00:31:30,480 --> 00:31:34,080 Speaker 4: the experience you get. Visit the website loran Oils dot 657 00:31:34,120 --> 00:31:35,840 Speaker 4: com and I'm not kidding when I say that's the 658 00:31:35,840 --> 00:31:38,760 Speaker 4: best oils out there. Yeah, I mean it literally tastes 659 00:31:38,800 --> 00:31:41,680 Speaker 4: so good Jill Blue West Show a great question and 660 00:31:41,720 --> 00:31:43,680 Speaker 4: I have another question locked and loaded. I have so 661 00:31:43,680 --> 00:31:45,400 Speaker 4: many more before we get to the high five with you, 662 00:31:45,440 --> 00:31:48,120 Speaker 4: and I want to thank everybody from Adrian Mondo, Teddy 663 00:31:48,120 --> 00:31:52,560 Speaker 4: the Show Dog, Oscar Julio, Daniel Connor, cam Beach, Barcelour Alley, Sunday, 664 00:31:52,640 --> 00:31:56,080 Speaker 4: Goldie Brother, Pitt, Mark Carnes, Chris Francio, Jennifer, Erica and 665 00:31:56,120 --> 00:31:57,680 Speaker 4: Elvis and Happy birthday Erica. 666 00:31:57,760 --> 00:31:59,040 Speaker 6: Happy Birthday Erica. 667 00:31:59,640 --> 00:32:02,680 Speaker 4: But you know, Blue is right, you do have a 668 00:32:02,800 --> 00:32:07,720 Speaker 4: different perspective insight on this because you get to see 669 00:32:08,120 --> 00:32:13,160 Speaker 4: all these cannabinoils from different states to different areas climate 670 00:32:13,240 --> 00:32:17,160 Speaker 4: control and can see this. What is your insight on 671 00:32:17,200 --> 00:32:20,560 Speaker 4: that federal standpoint, I mean the FDA just to prove 672 00:32:20,640 --> 00:32:23,320 Speaker 4: your guys' products. So you're kind of in there like 673 00:32:23,440 --> 00:32:26,120 Speaker 4: swim where you're working with the government hand in hand. 674 00:32:26,800 --> 00:32:29,080 Speaker 4: And this isn't the first time you personally have been 675 00:32:29,080 --> 00:32:30,320 Speaker 4: a part of a project with. 676 00:32:30,320 --> 00:32:33,240 Speaker 3: The FGA time, so so you're in there. 677 00:32:33,280 --> 00:32:36,080 Speaker 4: You get what it takes to get things to that 678 00:32:36,320 --> 00:32:41,240 Speaker 4: major global or at least country late level. And it's 679 00:32:41,280 --> 00:32:43,080 Speaker 4: a great question for Blue to astro. I would love 680 00:32:43,120 --> 00:32:45,280 Speaker 4: to hear your insight on where you think it's going. 681 00:32:45,440 --> 00:32:48,719 Speaker 6: The momentum is there. Now, I would never pin something. 682 00:32:48,760 --> 00:32:50,920 Speaker 6: I mean, Donald Trump was elected a couple of years ago, 683 00:32:51,000 --> 00:32:52,880 Speaker 6: so you never know what's going to happen, right, Like, 684 00:32:53,760 --> 00:32:57,120 Speaker 6: I would never pin a decision like that, like, oh, yeah, 685 00:32:57,120 --> 00:32:59,240 Speaker 6: two years it's going to happen. But I can tell 686 00:32:59,240 --> 00:33:03,400 Speaker 6: you over the path last six to nine months, I've 687 00:33:03,440 --> 00:33:07,400 Speaker 6: been banging on the FDA door, so to speak, for 688 00:33:07,440 --> 00:33:10,160 Speaker 6: a solid two plus years, two and a half years 689 00:33:10,440 --> 00:33:14,160 Speaker 6: with this box in hand with the solution in which yeah, 690 00:33:14,200 --> 00:33:17,240 Speaker 6: well and these were like trusted relationships. I was like, 691 00:33:17,320 --> 00:33:20,440 Speaker 6: what's up, guys, I'm telling you there's a problem here, right, 692 00:33:20,560 --> 00:33:23,160 Speaker 6: there's a there's a big picture situation that you should 693 00:33:23,200 --> 00:33:28,320 Speaker 6: probably invest in. And it was really only up until 694 00:33:28,400 --> 00:33:33,280 Speaker 6: like six months ago when it felt from like our 695 00:33:33,280 --> 00:33:40,200 Speaker 6: commercial perspective that the D eight converted cannabinoids market was 696 00:33:40,280 --> 00:33:44,560 Speaker 6: really like boom and boom. And that's when they really 697 00:33:44,600 --> 00:33:49,040 Speaker 6: decided to kind of take a role and so and 698 00:33:49,080 --> 00:33:51,960 Speaker 6: they that came on the back of like half a 699 00:33:52,000 --> 00:33:54,520 Speaker 6: dozen warning letters that they issued. The thing about the 700 00:33:54,560 --> 00:33:56,480 Speaker 6: FDA is they don't mess with stuff unless you make 701 00:33:56,520 --> 00:33:59,560 Speaker 6: health claims and a lot of people started making way 702 00:33:59,600 --> 00:34:02,240 Speaker 6: too many health claims about DA and CBD and things 703 00:34:02,280 --> 00:34:04,080 Speaker 6: like that, and that's when the FDA starts getting o's 704 00:34:04,120 --> 00:34:07,480 Speaker 6: on it. And then a couple of kids got sick, 705 00:34:07,680 --> 00:34:10,520 Speaker 6: really sick from eating way too many gummies that you know, 706 00:34:10,560 --> 00:34:13,600 Speaker 6: people didn't package up correctly, didn't put away safely as 707 00:34:13,680 --> 00:34:18,880 Speaker 6: parents should do, and that gets the attention of the FDA, 708 00:34:19,000 --> 00:34:23,000 Speaker 6: and that momentum alcohol doesn't shit, right, Like I can't, 709 00:34:23,000 --> 00:34:26,000 Speaker 6: I can't open half of my packages, right, But like 710 00:34:26,760 --> 00:34:29,480 Speaker 6: we all had access, Yeah, we all had access to 711 00:34:29,520 --> 00:34:34,160 Speaker 6: that ever clear whenever we wanted it. It's it's totally fucked, 712 00:34:34,160 --> 00:34:37,560 Speaker 6: but separate story and separate conversation. But I do see 713 00:34:37,560 --> 00:34:43,600 Speaker 6: a level of momentum happening and kind of organized attitude 714 00:34:44,320 --> 00:34:50,399 Speaker 6: about the global and international cannabis market. Right to give 715 00:34:50,440 --> 00:34:53,239 Speaker 6: that insight. You want to know what the FDA will 716 00:34:53,320 --> 00:34:57,080 Speaker 6: utilize light lab with. Really, it's package screening, guys, right, 717 00:34:57,280 --> 00:35:00,839 Speaker 6: and it's inbound international package screening. Let the cat out 718 00:35:00,880 --> 00:35:03,200 Speaker 6: of the bank. You can read that anywhere, really, But 719 00:35:03,400 --> 00:35:06,560 Speaker 6: the goal here is to make sure that as the 720 00:35:06,640 --> 00:35:10,840 Speaker 6: United States cannabis industry grows, that there aren't massive crazy 721 00:35:10,840 --> 00:35:15,080 Speaker 6: shipments of crazy synthetic cannabinoids and shitty cannabis matched or 722 00:35:15,160 --> 00:35:18,439 Speaker 6: great cannabis match with fake coas. That's that's the goal 723 00:35:18,480 --> 00:35:20,040 Speaker 6: of this the ft. 724 00:35:20,239 --> 00:35:22,360 Speaker 3: They just pull one tested now and here you go boom. 725 00:35:22,480 --> 00:35:24,600 Speaker 4: Well, and that's the big one that we need. Because 726 00:35:24,840 --> 00:35:27,319 Speaker 4: what she's saying is so like you don't even think 727 00:35:27,400 --> 00:35:29,480 Speaker 4: of being so crucial because oh, it would be great 728 00:35:29,480 --> 00:35:32,000 Speaker 4: to have as international candidate. But yeah, but let's not 729 00:35:32,040 --> 00:35:34,359 Speaker 4: forget which I for some weird reason, I forgot about 730 00:35:34,400 --> 00:35:36,879 Speaker 4: the criminals out there. They're gonna send all the bad 731 00:35:36,960 --> 00:35:39,240 Speaker 4: shit and make a fucking shitload of money. 732 00:35:39,360 --> 00:35:41,120 Speaker 6: Why do we think we have a five hundred dollars 733 00:35:41,120 --> 00:35:42,359 Speaker 6: pound here in California? 734 00:35:42,520 --> 00:35:43,879 Speaker 3: Yeah, this is just flying. 735 00:35:43,960 --> 00:35:46,600 Speaker 6: It's because there's sixty percent taxes and there's way too 736 00:35:46,680 --> 00:35:49,320 Speaker 6: many people that grow cannabis on license. 737 00:35:49,560 --> 00:35:52,279 Speaker 2: You know what about you know products, because I know 738 00:35:52,320 --> 00:35:57,280 Speaker 2: a lot of people that are claiming to get their products, 739 00:35:57,719 --> 00:36:01,879 Speaker 2: whether it's CBD or t HC FDA approved. Is that 740 00:36:02,239 --> 00:36:04,280 Speaker 2: something that I mean, I've never seen there. 741 00:36:04,440 --> 00:36:09,120 Speaker 6: They do not approve products cannabinoid based products, certainly not 742 00:36:09,200 --> 00:36:14,840 Speaker 6: THHCA products because they're federally illegal. They are just starting 743 00:36:14,880 --> 00:36:18,600 Speaker 6: to give more information around how they're going to approach 744 00:36:18,640 --> 00:36:22,480 Speaker 6: CBD products. They've definitely said Dad is not allowed anymore. 745 00:36:22,600 --> 00:36:25,040 Speaker 6: You know, Das put their foot down around that one too. 746 00:36:25,840 --> 00:36:29,280 Speaker 6: I just think they're right now. There's a scientific trend, 747 00:36:29,680 --> 00:36:33,440 Speaker 6: especially on the backs of psilocybin and psychedelics. You know, 748 00:36:33,480 --> 00:36:39,160 Speaker 6: there are now almost forty national studies, government funded studies 749 00:36:39,360 --> 00:36:41,880 Speaker 6: for psychedelics happening in the United States. These are like 750 00:36:42,080 --> 00:36:45,320 Speaker 6: millions and millions of dollars. That to me is more 751 00:36:45,360 --> 00:36:48,280 Speaker 6: a sign of like where things are going. That's great. 752 00:36:48,520 --> 00:36:53,319 Speaker 2: So you think psychedelics are going to be plant medicine first. 753 00:36:52,600 --> 00:36:56,280 Speaker 6: No, but I do think there's a momentum behind understanding 754 00:36:56,600 --> 00:37:00,000 Speaker 6: the power of plant medicine right with real scientifics. 755 00:37:00,680 --> 00:37:03,759 Speaker 2: I agree how it's coming with mushrooms, and because that psilocybin, 756 00:37:03,800 --> 00:37:05,440 Speaker 2: it is just I just had a conversation yesterday with 757 00:37:05,480 --> 00:37:06,040 Speaker 2: Jimmy Diamonds. 758 00:37:06,080 --> 00:37:08,400 Speaker 4: Jimmy Diamonds was the one who posted this video that 759 00:37:08,440 --> 00:37:10,520 Speaker 4: we just posted on our Instagram of a man who 760 00:37:10,520 --> 00:37:13,279 Speaker 4: has Parkinson's and this and that, and my brother as 761 00:37:13,280 --> 00:37:16,640 Speaker 4: well did some psilocybin and did this whole ritual thing. 762 00:37:16,680 --> 00:37:19,880 Speaker 4: And it's just been mind blowing to see the benefits 763 00:37:19,920 --> 00:37:24,240 Speaker 4: people are having from it. Meillion with doctor Thomas Kenemy 764 00:37:24,680 --> 00:37:27,480 Speaker 4: helping you get off hardcore drugs of Kenemy. 765 00:37:27,160 --> 00:37:31,520 Speaker 6: Absolutely in PSD PTSD studies, and you know the ability 766 00:37:31,560 --> 00:37:34,440 Speaker 6: of you know, psychedelics to help people exit a lot 767 00:37:34,480 --> 00:37:37,400 Speaker 6: of like really traumatic moments in their lives and heal 768 00:37:37,480 --> 00:37:40,920 Speaker 6: at a really core level. That's I believe that's why 769 00:37:41,160 --> 00:37:45,040 Speaker 6: we're humanity is having this like really high impact engagement 770 00:37:45,120 --> 00:37:47,520 Speaker 6: with these plants. At this level, the government and nose. 771 00:37:47,400 --> 00:37:48,920 Speaker 4: School people are going to freak out off it too, 772 00:37:48,920 --> 00:37:52,400 Speaker 4: because like those who got the whole Nancy Reagan motto 773 00:37:52,600 --> 00:37:55,760 Speaker 4: and the KOKOOI of seeing one dude, you know, shroomed 774 00:37:55,760 --> 00:37:58,160 Speaker 4: out of his mind somewhere and he just did too much. 775 00:37:58,680 --> 00:38:01,439 Speaker 4: Those are scarring images for anybody to deal with, which 776 00:38:01,440 --> 00:38:04,279 Speaker 4: I get, but they need to realize, go to that 777 00:38:04,320 --> 00:38:07,360 Speaker 4: alcohol person that you've seen doing too much of anything 778 00:38:07,719 --> 00:38:09,080 Speaker 4: can ruin anything. 779 00:38:09,200 --> 00:38:09,560 Speaker 3: For that. 780 00:38:09,760 --> 00:38:11,439 Speaker 4: If you want to have a glass of wine with dinner, 781 00:38:11,480 --> 00:38:13,920 Speaker 4: that's not you're not There's not a problem there. If 782 00:38:13,960 --> 00:38:16,720 Speaker 4: you want to do a point five psilocybin or smoke 783 00:38:16,800 --> 00:38:17,920 Speaker 4: or joint, not a problem there. 784 00:38:18,120 --> 00:38:22,680 Speaker 2: That It's like that that's series painkiller have you seen that. 785 00:38:22,760 --> 00:38:25,759 Speaker 2: I mean, I mean it's so unfortunate and and we 786 00:38:25,800 --> 00:38:29,719 Speaker 2: have you know, we tend to trust, you know, the 787 00:38:29,840 --> 00:38:31,960 Speaker 2: doctor more than anybody else in the world. You know, 788 00:38:32,040 --> 00:38:34,000 Speaker 2: the doctor is the one that's telling you what to do. 789 00:38:34,080 --> 00:38:36,799 Speaker 2: And so they're issuing out oxy coota and vico in 790 00:38:36,920 --> 00:38:38,520 Speaker 2: and you name it. 791 00:38:39,600 --> 00:38:40,280 Speaker 4: That's crazy. 792 00:38:40,360 --> 00:38:43,480 Speaker 2: And it's just like it's the it is the you know, 793 00:38:43,640 --> 00:38:46,000 Speaker 2: leading cause of white American males. 794 00:38:46,360 --> 00:38:48,520 Speaker 6: Cannabis is really the exit drug if you look at 795 00:38:48,560 --> 00:38:50,640 Speaker 6: all the states where cannabis has been legalized. Man, I 796 00:38:50,680 --> 00:38:53,640 Speaker 6: just write another study the other day that was showing 797 00:38:53,680 --> 00:38:56,560 Speaker 6: how in the states where cannabis is legalized, there are 798 00:38:56,640 --> 00:38:59,040 Speaker 6: less opioid deaths and there are less people that are 799 00:38:59,080 --> 00:39:01,000 Speaker 6: having their first time experience with opioid. 800 00:39:01,160 --> 00:39:03,040 Speaker 4: It's helping with that pain that they're looking to get 801 00:39:03,040 --> 00:39:05,200 Speaker 4: away from a spot because a lot of people are 802 00:39:05,239 --> 00:39:08,279 Speaker 4: taking those opios for a legitimate pain and it's not 803 00:39:08,400 --> 00:39:11,000 Speaker 4: like a, oh, you're not hurting their line. But what's 804 00:39:11,000 --> 00:39:14,400 Speaker 4: happening is they're getting addicted to the product. I mean, 805 00:39:14,400 --> 00:39:17,399 Speaker 4: they're getting addicted in those hills, not realizing the pain 806 00:39:17,440 --> 00:39:20,400 Speaker 4: may stop, even going to physical therapy, but they get addicted, 807 00:39:20,640 --> 00:39:22,080 Speaker 4: and once you get that addiction, it's hard. 808 00:39:22,160 --> 00:39:22,359 Speaker 3: Jill. 809 00:39:22,719 --> 00:39:25,560 Speaker 4: This box ride here that you guys just got FDA approved, 810 00:39:25,560 --> 00:39:27,480 Speaker 4: which is just still mind boggling alone. 811 00:39:27,840 --> 00:39:28,960 Speaker 3: Is there any other. 812 00:39:28,840 --> 00:39:31,359 Speaker 4: Machine like this that's FDA approved or are you guys the. 813 00:39:31,320 --> 00:39:36,160 Speaker 6: First so there are you know those bench top scientific methodologies. 814 00:39:35,520 --> 00:39:36,759 Speaker 4: Not a mobile one then yeah? 815 00:39:36,800 --> 00:39:39,640 Speaker 6: No, no, definitely not no mobile technologies. And the FDA 816 00:39:39,719 --> 00:39:42,719 Speaker 6: doesn't use you know, any other mobile technology like this 817 00:39:42,880 --> 00:39:45,120 Speaker 6: except the other ones that I sold them with other companies, right, 818 00:39:45,200 --> 00:39:48,200 Speaker 6: different kinds of technologies for white powder, for something that 819 00:39:48,280 --> 00:39:51,239 Speaker 6: might go boom, those kind of things. But no, for 820 00:39:51,320 --> 00:39:55,480 Speaker 6: their cannabis science, they use light lab or they use 821 00:39:55,520 --> 00:39:59,560 Speaker 6: a bench top HBLC system. We're really proud that the 822 00:39:59,600 --> 00:40:03,600 Speaker 6: Customs Border Protection after about six months of comparing you know, 823 00:40:03,800 --> 00:40:06,520 Speaker 6: head to head light lab, their fleet of light labs 824 00:40:06,520 --> 00:40:10,240 Speaker 6: and their fleet of benchtop analytical tools, they're actually formally 825 00:40:10,239 --> 00:40:14,080 Speaker 6: transitioning all cannabinoid quantification to this. 826 00:40:14,200 --> 00:40:15,799 Speaker 3: Congratulations, it's a big deal. 827 00:40:15,840 --> 00:40:17,440 Speaker 5: Like, no, I think it's a huge deal. 828 00:40:17,520 --> 00:40:20,200 Speaker 4: Not to say that's like, what do you foresee these 829 00:40:20,280 --> 00:40:22,319 Speaker 4: orange boxes being? Is it going to be at like 830 00:40:22,440 --> 00:40:25,000 Speaker 4: every when you're coming in from the country at the airport. 831 00:40:25,440 --> 00:40:27,000 Speaker 4: Is it going to be at the borders when you're 832 00:40:27,080 --> 00:40:27,800 Speaker 4: driving in. 833 00:40:27,760 --> 00:40:31,480 Speaker 6: From the You're ready, You're ready for the manifestation. I've 834 00:40:31,520 --> 00:40:34,839 Speaker 6: already manifested this. This is what this is what I'm 835 00:40:34,880 --> 00:40:38,759 Speaker 6: here to do. Right. We have this crazy ass paradigm 836 00:40:38,800 --> 00:40:42,440 Speaker 6: in cannabis that we send all our samples out. Do 837 00:40:42,520 --> 00:40:46,240 Speaker 6: you think Pfizer sends all their samples out? Guys? Never, No, 838 00:40:47,320 --> 00:40:50,120 Speaker 6: They test everything internally and then the FDA walks in 839 00:40:50,160 --> 00:40:54,200 Speaker 6: an audit sem and if anything's misaligned or not writing 840 00:40:54,239 --> 00:40:57,360 Speaker 6: an audit, well you're getting spanked, and you're getting spanked hard. 841 00:40:58,360 --> 00:41:01,319 Speaker 6: But the weird thing in the cannon industry is that 842 00:41:01,560 --> 00:41:04,440 Speaker 6: instead of like us owning that data and growing and 843 00:41:04,520 --> 00:41:07,200 Speaker 6: learning with that data, it actually is like the data 844 00:41:07,200 --> 00:41:09,200 Speaker 6: has us by the balls, right, Like we have to 845 00:41:09,320 --> 00:41:12,280 Speaker 6: send everything out, We have to wait for that data 846 00:41:12,320 --> 00:41:14,720 Speaker 6: to just be able to move forward. We're not learning 847 00:41:14,760 --> 00:41:18,480 Speaker 6: with that data though. There's no operational excellence that's coming 848 00:41:18,520 --> 00:41:22,080 Speaker 6: from that like every other industry employees. So the ability 849 00:41:22,160 --> 00:41:24,759 Speaker 6: of like light lab to be a really fundamental part 850 00:41:24,800 --> 00:41:29,000 Speaker 6: of that shift because there are not enough cannabis chemists 851 00:41:29,040 --> 00:41:31,040 Speaker 6: in the world and scientists to run all the hp 852 00:41:31,320 --> 00:41:34,560 Speaker 6: PLCs that it will be needed. And fundamentally, if you 853 00:41:34,640 --> 00:41:39,160 Speaker 6: take ten light labs over ten days, they will be 854 00:41:39,960 --> 00:41:44,200 Speaker 6: so much more accurate and repeatable than ten bench tops 855 00:41:44,200 --> 00:41:46,400 Speaker 6: over ten days. We've got that data to show it 856 00:41:46,680 --> 00:41:47,319 Speaker 6: over and over. 857 00:41:47,520 --> 00:41:47,880 Speaker 3: That's that. 858 00:41:47,960 --> 00:41:48,799 Speaker 5: How accurate is it? 859 00:41:49,239 --> 00:41:49,600 Speaker 3: Say that? 860 00:41:50,200 --> 00:41:52,799 Speaker 6: Plus in the best case scenario, plus our mind is 861 00:41:52,880 --> 00:41:57,920 Speaker 6: less than two ppms, Like it's super tight parts per million. 862 00:41:58,440 --> 00:42:02,200 Speaker 6: So we're talking point zero zero zero zero two percent 863 00:42:03,120 --> 00:42:05,360 Speaker 6: tiny little bits that can be That's pretty accurate. 864 00:42:05,400 --> 00:42:07,720 Speaker 3: Aren't you guys public company or private? 865 00:42:07,840 --> 00:42:09,920 Speaker 6: We are a private company. I'm very proud of that. 866 00:42:10,320 --> 00:42:11,440 Speaker 3: So yeah, congratulations. 867 00:42:11,560 --> 00:42:13,480 Speaker 2: And then and then are you guys, and then are 868 00:42:13,480 --> 00:42:17,720 Speaker 2: you guys going to be testing psilocybin, cocaine and everything 869 00:42:17,719 --> 00:42:18,160 Speaker 2: else for them? 870 00:42:18,400 --> 00:42:22,080 Speaker 6: You know, we already have released just earlier this summer, 871 00:42:22,160 --> 00:42:24,360 Speaker 6: I mean what it's been going. It's been going quickly. 872 00:42:24,400 --> 00:42:27,560 Speaker 6: But in July we released light Lab ps Y, which 873 00:42:27,600 --> 00:42:30,640 Speaker 6: is our psychedelics unit. It looks very similar to this. 874 00:42:30,719 --> 00:42:33,400 Speaker 6: It's got kind of a purple flavor in some parts 875 00:42:33,440 --> 00:42:37,799 Speaker 6: to it, but it tests psilocybin, it tests slucin, and 876 00:42:37,880 --> 00:42:42,280 Speaker 6: it tests a couple of synthetic molecules. So for Aco 877 00:42:42,560 --> 00:42:46,560 Speaker 6: for Aaco fumerate. Those are molecules that you know, if 878 00:42:46,600 --> 00:42:50,279 Speaker 6: you buy a gummy mushroom gummy on the internet right 879 00:42:50,320 --> 00:42:53,839 Speaker 6: now and it says that it has you know, live 880 00:42:53,920 --> 00:42:56,919 Speaker 6: mushroom product or raw mushroom product in it, it's very 881 00:42:57,000 --> 00:43:00,600 Speaker 6: likely to actually have one of these synthetic products in it. 882 00:43:00,800 --> 00:43:03,080 Speaker 4: So Jill and Blue, I think it's gonna be crazy 883 00:43:03,120 --> 00:43:06,680 Speaker 4: when we see like a certain patrol car that has 884 00:43:06,719 --> 00:43:09,040 Speaker 4: this in it. Maybe not every patrol car, but maybe 885 00:43:09,560 --> 00:43:11,759 Speaker 4: that's not crazy for you guys that have But. 886 00:43:11,680 --> 00:43:13,920 Speaker 6: It's not, but it could be not going to go there. Yeah, 887 00:43:13,960 --> 00:43:14,799 Speaker 6: it's not going to go there. 888 00:43:15,440 --> 00:43:16,359 Speaker 4: The cops need to test. 889 00:43:16,480 --> 00:43:19,799 Speaker 6: No, it's a self regulation tool. It's a self regulation tool. 890 00:43:19,840 --> 00:43:21,960 Speaker 6: This is not about. First of all, the cops don't 891 00:43:21,960 --> 00:43:24,000 Speaker 6: give a shit except in a couple of states across 892 00:43:24,000 --> 00:43:26,120 Speaker 6: this nation. If you've got a pound in your trunk, guys, 893 00:43:26,400 --> 00:43:29,400 Speaker 6: they don't care. They've told me themselves they don't care. 894 00:43:30,040 --> 00:43:33,720 Speaker 6: What they care about is like massive scale diversion in version. 895 00:43:33,760 --> 00:43:36,880 Speaker 6: That makes it. It's the same kind of levels of 896 00:43:36,960 --> 00:43:39,160 Speaker 6: crime that have always been happening to get their attention 897 00:43:40,080 --> 00:43:42,720 Speaker 6: and tax evasion. That's what we see guys. 898 00:43:42,719 --> 00:43:45,520 Speaker 4: And we've seen guys like the one traveling in New 899 00:43:45,600 --> 00:43:48,920 Speaker 4: York who was traveling with eighty pounds of hemp and 900 00:43:49,000 --> 00:43:51,640 Speaker 4: they arrested him, took all his product, he lost everything. 901 00:43:51,840 --> 00:43:54,680 Speaker 4: If you had a machine like this, no problem. It's 902 00:43:54,840 --> 00:43:57,120 Speaker 4: oh it looks like eighty pounds a weed. That's you 903 00:43:57,120 --> 00:43:59,240 Speaker 4: know this and that. But if you have a. 904 00:43:58,800 --> 00:44:01,640 Speaker 3: Machine like this, that's ten and a half minutes. 905 00:44:01,760 --> 00:44:04,359 Speaker 6: That's exactly why the first enforcement agency started to use 906 00:44:04,440 --> 00:44:07,279 Speaker 6: light Lab. It was to cover their own assets, to 907 00:44:07,320 --> 00:44:09,439 Speaker 6: not make that mistake. And it's still a big part 908 00:44:09,440 --> 00:44:12,239 Speaker 6: of it. Like people grow really sweet. Look at him, 909 00:44:12,560 --> 00:44:15,200 Speaker 6: and they used to just mow the field, and you're 910 00:44:15,200 --> 00:44:16,960 Speaker 6: not doing that anymore. You better believe that. 911 00:44:17,000 --> 00:44:19,400 Speaker 3: But no, I don't show up and test the field 912 00:44:19,440 --> 00:44:20,319 Speaker 3: before they go mow it. 913 00:44:20,480 --> 00:44:24,200 Speaker 6: Yeah, exactly what they did. And then they get that 914 00:44:24,320 --> 00:44:26,760 Speaker 6: warrant and they do all this stuff. But it's based 915 00:44:26,760 --> 00:44:28,799 Speaker 6: on data and science. We're agnostic to what you do 916 00:44:28,840 --> 00:44:31,120 Speaker 6: with it. We don't care what you do with the data. 917 00:44:31,120 --> 00:44:33,560 Speaker 6: It's going to give you the same numbers. They're accurate numbers. 918 00:44:34,280 --> 00:44:35,040 Speaker 6: We're agnostic. 919 00:44:35,160 --> 00:44:35,760 Speaker 3: It's amazing. 920 00:44:36,480 --> 00:44:39,479 Speaker 4: Yeah, light labs three hs. How much is. 921 00:44:39,400 --> 00:44:41,719 Speaker 6: It that's one million dollars. 922 00:44:41,960 --> 00:44:44,359 Speaker 5: That's simple, Joe. Everyone's going to have one, what. 923 00:44:44,320 --> 00:44:47,879 Speaker 6: Is anywhere between fifteen and twenty k depending on how 924 00:44:47,880 --> 00:44:50,520 Speaker 6: you outfit them. We have light Lab three. We have 925 00:44:50,600 --> 00:44:55,320 Speaker 6: light Lab High Sensitivity. Basically, you know, there's two levels 926 00:44:55,360 --> 00:44:57,960 Speaker 6: of these instruments. The first level does like that point 927 00:44:58,080 --> 00:45:01,000 Speaker 6: zero five percent that you talked about. We have this 928 00:45:01,600 --> 00:45:05,719 Speaker 6: newest version that does so so much lower, like one 929 00:45:05,800 --> 00:45:08,399 Speaker 6: hundred times more sensitive, so it can test, can help 930 00:45:08,440 --> 00:45:11,320 Speaker 6: you formulate your beverages and you're really low dose scummies 931 00:45:11,320 --> 00:45:13,040 Speaker 6: and things like that. That's the higher cost one. 932 00:45:13,080 --> 00:45:16,879 Speaker 4: Well, the light Lab three Cannabis Analyzer chosen by the 933 00:45:17,000 --> 00:45:22,800 Speaker 4: FDA to enhance consumer safety and regulations in the cannabis industry. 934 00:45:22,840 --> 00:45:25,640 Speaker 4: You heard her talk about it. You hear her. She's 935 00:45:25,680 --> 00:45:28,440 Speaker 4: got the proof behind it, with the schooling and the 936 00:45:28,480 --> 00:45:31,560 Speaker 4: expertise with the other companies who worked with I'm so 937 00:45:31,680 --> 00:45:34,279 Speaker 4: impressed with this. I wish we had some solution to 938 00:45:34,320 --> 00:45:36,160 Speaker 4: really watch it happen in ten and a half minutes. 939 00:45:36,160 --> 00:45:39,719 Speaker 6: Because TSA does not like methanol. 940 00:45:39,920 --> 00:45:41,560 Speaker 4: Well, you know what, That's okay, but we do want 941 00:45:41,600 --> 00:45:43,400 Speaker 4: to still do the high five with you, Jill, as 942 00:45:43,400 --> 00:45:45,920 Speaker 4: you're here and love what the company is doing and 943 00:45:45,960 --> 00:45:48,480 Speaker 4: everything about it and your vibe and your energy and 944 00:45:48,480 --> 00:45:49,760 Speaker 4: everything about you is awesome. 945 00:45:49,800 --> 00:45:50,080 Speaker 6: Thank you. 946 00:45:50,160 --> 00:45:51,839 Speaker 4: Question number one, Jill, how old are you the first 947 00:45:51,880 --> 00:45:53,600 Speaker 4: time you smoked cannabis and where'd you get it from? 948 00:45:54,480 --> 00:45:56,799 Speaker 6: I was like nineteen. I was a late bloomer. I 949 00:45:56,840 --> 00:46:00,480 Speaker 6: hung out with all the stoners, but I was keep 950 00:46:00,560 --> 00:46:02,640 Speaker 6: my shit straight because my parents were actually kind of 951 00:46:02,680 --> 00:46:04,600 Speaker 6: a hot mess when I was in high school. Okay, 952 00:46:04,760 --> 00:46:07,080 Speaker 6: so I was like I would always roll everything for 953 00:46:07,160 --> 00:46:10,719 Speaker 6: everyone and be like the DD and yeah, me and 954 00:46:10,760 --> 00:46:12,279 Speaker 6: my cousin got high. I think when I was like 955 00:46:12,360 --> 00:46:14,400 Speaker 6: nineteen the first time awesome. 956 00:46:14,480 --> 00:46:17,040 Speaker 3: Question number two of the High five, what is your 957 00:46:17,360 --> 00:46:20,240 Speaker 3: favorite way to use or smoke cannabis? 958 00:46:20,560 --> 00:46:22,960 Speaker 6: I'm a dab queen for sure. I do like a 959 00:46:23,000 --> 00:46:26,080 Speaker 6: good dab, but I mean on the daily, I rip 960 00:46:26,120 --> 00:46:27,720 Speaker 6: a bong often. 961 00:46:28,040 --> 00:46:28,279 Speaker 3: Yeah? 962 00:46:28,640 --> 00:46:30,360 Speaker 4: Do you travel with one a bong? 963 00:46:30,760 --> 00:46:30,800 Speaker 2: No? 964 00:46:30,960 --> 00:46:32,600 Speaker 6: I did just go to the Outer Banks last week 965 00:46:32,600 --> 00:46:34,319 Speaker 6: and I took it like a little plastic bong that 966 00:46:34,400 --> 00:46:36,440 Speaker 6: I got at a show, and I was so happy 967 00:46:36,480 --> 00:46:37,879 Speaker 6: that I had it on my VAKA show. 968 00:46:37,960 --> 00:46:41,279 Speaker 4: Yeah, that's always a good h Jill. Craziest place you 969 00:46:41,360 --> 00:46:43,319 Speaker 4: ever used or smoked cannabis. 970 00:46:43,600 --> 00:46:45,719 Speaker 6: Oh man, Yeah, this was a good prep because I've 971 00:46:45,760 --> 00:46:49,040 Speaker 6: been lucky. We travel all around the country, crazy ass places, 972 00:46:49,120 --> 00:46:52,880 Speaker 6: absolutely everywhere. But recently I was on the edge of 973 00:46:53,480 --> 00:46:59,200 Speaker 6: Crater Lake in Oregon watching an avalanche happen and had 974 00:46:59,200 --> 00:47:02,160 Speaker 6: a man asked me to marry him. All at the 975 00:47:02,200 --> 00:47:04,799 Speaker 6: same time, we'll smoking a joint way, so that was 976 00:47:04,880 --> 00:47:11,719 Speaker 6: kind of it. Yes, I did, thank you very much here. Yeah, 977 00:47:11,760 --> 00:47:16,720 Speaker 6: well not anymore. His name's Jeremy Kleky. He runs Davis 978 00:47:16,800 --> 00:47:20,279 Speaker 6: Hemp Farms. He's a thirty year legacy grower and he's 979 00:47:20,320 --> 00:47:25,160 Speaker 6: the dude many Yeah, thank you guys. I appreciate it. 980 00:47:25,320 --> 00:47:26,920 Speaker 4: I'm sure he loves your muscles, jeez. 981 00:47:28,120 --> 00:47:30,279 Speaker 6: Yeah, Well we're going to get some farm work done. 982 00:47:30,520 --> 00:47:31,799 Speaker 3: We have to get him on. We have to get 983 00:47:31,880 --> 00:47:32,520 Speaker 3: him on too. 984 00:47:32,600 --> 00:47:34,120 Speaker 6: For sure. Man, he's a genius. 985 00:47:34,239 --> 00:47:34,439 Speaker 4: Yeah. 986 00:47:34,560 --> 00:47:36,319 Speaker 2: Question number four of the high five what does your 987 00:47:36,360 --> 00:47:37,960 Speaker 2: go to munchie after you get high? 988 00:47:38,040 --> 00:47:42,320 Speaker 6: Oreos? Nice munchies, no matter what. When I was pregnant, 989 00:47:42,360 --> 00:47:45,239 Speaker 6: IY like ten orioles a day. No. Now actually I 990 00:47:45,239 --> 00:47:48,080 Speaker 6: can't even I can't even eat a regular oreo. Now 991 00:47:48,120 --> 00:47:52,600 Speaker 6: I have to eat no, no whole food orioles. If 992 00:47:52,640 --> 00:47:54,719 Speaker 6: you haven't had a Whole Foods oriole. They are the 993 00:47:54,719 --> 00:47:57,520 Speaker 6: orioles of our childhood. They taste so good. 994 00:47:57,560 --> 00:47:58,879 Speaker 3: And they're actually made better. 995 00:47:59,160 --> 00:48:03,440 Speaker 6: They have really Yeah noa, I tasted like a branded 996 00:48:03,480 --> 00:48:05,080 Speaker 6: Oreo now and I'm like ship. 997 00:48:06,200 --> 00:48:08,319 Speaker 4: It's so funny Whole Food spends that extra money. I 998 00:48:08,320 --> 00:48:10,080 Speaker 4: mean they use the little rand oils there Whole Foods 999 00:48:10,080 --> 00:48:13,520 Speaker 4: for God's sake, because it's good good. Yeah, lo rand 1000 00:48:13,560 --> 00:48:15,400 Speaker 4: Oils just sold the Whole Foods. That's how good it is. 1001 00:48:15,640 --> 00:48:18,160 Speaker 6: We go, We'll definitely go search out those Whole Foods. 1002 00:48:18,280 --> 00:48:19,279 Speaker 4: You know what you're making me want to go to 1003 00:48:19,320 --> 00:48:20,759 Speaker 4: Whole food just to get some of those cookies. I 1004 00:48:20,760 --> 00:48:22,880 Speaker 4: remember getting them a few times. They're not the cheapest 1005 00:48:22,920 --> 00:48:23,720 Speaker 4: ones on the block. 1006 00:48:23,920 --> 00:48:26,239 Speaker 6: I order them on Amazon. That's a little tip. 1007 00:48:26,280 --> 00:48:30,359 Speaker 5: And that's how you know, makes it better that way. 1008 00:48:30,520 --> 00:48:34,480 Speaker 4: Question number five of the High five Jill, my little scientists, Yes, 1009 00:48:35,200 --> 00:48:36,080 Speaker 4: newlywed to be. 1010 00:48:37,280 --> 00:48:38,319 Speaker 5: I can't wait to see. 1011 00:48:39,239 --> 00:48:42,720 Speaker 4: But if you could smoke cannabis with anyone dead or alive, 1012 00:48:43,280 --> 00:48:44,319 Speaker 4: who would it be and why? 1013 00:48:45,480 --> 00:48:49,560 Speaker 6: This is a hard question, all right, Honestly, My grandpa, yeah, yeah, 1014 00:48:50,520 --> 00:48:54,480 Speaker 6: his name is Donald. Grandma, Yeah, I mean he's just 1015 00:48:54,520 --> 00:48:57,440 Speaker 6: the man. He was so instrumental and passed away when 1016 00:48:57,440 --> 00:48:59,520 Speaker 6: I was sixteen, before I ever got high, and he 1017 00:48:59,640 --> 00:49:01,600 Speaker 6: was now hal like when I was younger, or like 1018 00:49:01,680 --> 00:49:04,200 Speaker 6: before I was alive, so I know that he mustn't 1019 00:49:04,239 --> 00:49:06,239 Speaker 6: smoked at some point. I just really would have loved 1020 00:49:06,280 --> 00:49:08,279 Speaker 6: to experience that. But I also thought about it on 1021 00:49:08,280 --> 00:49:10,360 Speaker 6: a more broad scale, because you guys don't know my 1022 00:49:10,400 --> 00:49:14,480 Speaker 6: grandpa who was the man free to Callo? Do you 1023 00:49:14,480 --> 00:49:17,080 Speaker 6: guys know anything about freeda Callo? She was just like 1024 00:49:17,120 --> 00:49:20,240 Speaker 6: a crazy badass. She suffered from polio when she was younger, 1025 00:49:20,239 --> 00:49:22,239 Speaker 6: so she had a lot of like pain that I 1026 00:49:22,239 --> 00:49:24,319 Speaker 6: think cannabis probably could have helped her with. She was 1027 00:49:24,320 --> 00:49:27,880 Speaker 6: an artist. I'm an artist too. She was crazy, like 1028 00:49:27,920 --> 00:49:30,440 Speaker 6: I like to draw a line art with pen and 1029 00:49:30,440 --> 00:49:32,360 Speaker 6: stuff like that, And she was a crazy free to 1030 00:49:32,400 --> 00:49:35,359 Speaker 6: collo is the woman with the beautie brow you see 1031 00:49:35,360 --> 00:49:37,920 Speaker 6: in pop culture a lot. And she had a crazy 1032 00:49:38,520 --> 00:49:41,440 Speaker 6: passionate relationship with her husband that she married and divorced 1033 00:49:41,440 --> 00:49:43,680 Speaker 6: and married again and all this crazy shit. So yeah, 1034 00:49:43,800 --> 00:49:46,839 Speaker 6: I think she would just be awesome to get high with. 1035 00:49:48,280 --> 00:49:50,080 Speaker 2: Well, is there anything that we forgot that do you 1036 00:49:50,120 --> 00:49:51,680 Speaker 2: want to say before we let you get on out 1037 00:49:51,680 --> 00:49:51,920 Speaker 2: of here. 1038 00:49:53,080 --> 00:49:57,279 Speaker 6: You know, Cannabis Operators of America, we are all about 1039 00:49:57,320 --> 00:50:00,520 Speaker 6: helping you solve the problems that you're definitely having, right, Like, 1040 00:50:01,200 --> 00:50:03,319 Speaker 6: it's the solution for when you want to run a 1041 00:50:03,320 --> 00:50:05,279 Speaker 6: pheno hunt. You don't want to spend one hundred bucks 1042 00:50:05,320 --> 00:50:08,319 Speaker 6: of tests to figure out what magic you got, like 1043 00:50:08,560 --> 00:50:11,640 Speaker 6: test baby plants when they're this little on light lab. 1044 00:50:12,280 --> 00:50:15,520 Speaker 6: It's the solution for extraction facilities when they're dialing in 1045 00:50:15,800 --> 00:50:18,520 Speaker 6: you know, one hundred thousand dollars instrumentations and they're taking 1046 00:50:18,640 --> 00:50:20,560 Speaker 6: weeks and weeks and weeks to do it because they're 1047 00:50:20,560 --> 00:50:23,800 Speaker 6: sending stuff, samples back and forth to a laboratory. That's bullshit. 1048 00:50:24,200 --> 00:50:26,719 Speaker 6: Never mind the fact that you should be utilizing a 1049 00:50:26,880 --> 00:50:29,799 Speaker 6: tool that tells you about all your other processes all 1050 00:50:29,800 --> 00:50:32,400 Speaker 6: the time. It's operational excellence. It's getting better at the 1051 00:50:32,400 --> 00:50:35,799 Speaker 6: shit you do. I call it adding a layer of 1052 00:50:35,880 --> 00:50:39,040 Speaker 6: data over tribal wizardry. Right, That's what our industry goes on, 1053 00:50:39,239 --> 00:50:42,279 Speaker 6: is tribal wizardry, and we just need a little bit 1054 00:50:42,320 --> 00:50:44,360 Speaker 6: more science. Yeah, a little bit more science. 1055 00:50:44,400 --> 00:50:47,160 Speaker 4: Is that's what your company is doing and helping the industry. 1056 00:50:47,719 --> 00:50:49,680 Speaker 4: I love that this is there. I wish we could 1057 00:50:49,680 --> 00:50:51,520 Speaker 4: have one here. It just get people shitt and tested 1058 00:50:51,560 --> 00:50:52,000 Speaker 4: all the time. 1059 00:50:52,600 --> 00:50:55,640 Speaker 6: Don't tell me, guys, we can imagine. 1060 00:50:55,239 --> 00:50:58,239 Speaker 3: Why we're going to test it for you right now? 1061 00:50:58,640 --> 00:51:04,560 Speaker 3: All right, well that would be the sickest thing ever. People. Yeah, 1062 00:51:04,600 --> 00:51:06,720 Speaker 3: that's touch it. It comes out like it's failed. 1063 00:51:06,960 --> 00:51:07,880 Speaker 5: Dude, this is you. 1064 00:51:08,320 --> 00:51:10,279 Speaker 6: I'm just going to warn you. There's a lot of 1065 00:51:10,320 --> 00:51:13,320 Speaker 6: ego in Cannaba. 1066 00:51:13,480 --> 00:51:14,040 Speaker 3: This right here. 1067 00:51:14,080 --> 00:51:17,520 Speaker 4: They do that didn't work? Oh'd be like, hey, we'll 1068 00:51:17,520 --> 00:51:19,319 Speaker 4: pay us, pay us to take it off. 1069 00:51:21,440 --> 00:51:21,600 Speaker 6: You can. 1070 00:51:21,719 --> 00:51:23,680 Speaker 3: You can cut that part out the video. 1071 00:51:23,880 --> 00:51:27,440 Speaker 6: Cut that part out right. But I've also had people 1072 00:51:27,560 --> 00:51:31,120 Speaker 6: break into tears, like homegrowers that were growing their father's 1073 00:51:31,160 --> 00:51:33,680 Speaker 6: strain and have been growing it for five years and 1074 00:51:33,800 --> 00:51:38,400 Speaker 6: hit that thirty two percent. Water works dude, because thirty 1075 00:51:38,400 --> 00:51:41,880 Speaker 6: people are clapping, and because it's it's a passion, right, 1076 00:51:41,960 --> 00:51:43,920 Speaker 6: It's true, that's what you tried to do. And I've 1077 00:51:43,960 --> 00:51:47,080 Speaker 6: heard I've seen commercial cultivators also that hit thirty five right, 1078 00:51:47,120 --> 00:51:50,839 Speaker 6: that ship doesn't exist. You know the numbers are out there. 1079 00:51:50,840 --> 00:51:53,319 Speaker 6: People push genet X. It's a crazy, crazy plant. It 1080 00:51:53,360 --> 00:51:55,480 Speaker 6: will give it. It will keep giving us what we 1081 00:51:55,520 --> 00:51:57,200 Speaker 6: ask of it. We have to be very generous to 1082 00:51:57,239 --> 00:52:00,839 Speaker 6: the plant. Remember that, And you're like, I really believe that. 1083 00:52:01,040 --> 00:52:03,040 Speaker 4: I'm just smiling really thinking about all the brands that 1084 00:52:03,040 --> 00:52:04,960 Speaker 4: come through here. If we would you be willing to 1085 00:52:04,960 --> 00:52:07,279 Speaker 4: do that to see how many say yes? And you know, 1086 00:52:08,080 --> 00:52:09,880 Speaker 4: I don't know, have you seen people. 1087 00:52:09,600 --> 00:52:11,920 Speaker 6: That people will bust out their homegirl left and right, 1088 00:52:12,120 --> 00:52:14,160 Speaker 6: like oh yeah, shit, yeah, But then they might be 1089 00:52:14,160 --> 00:52:15,680 Speaker 6: peeling the CVA label off. 1090 00:52:15,520 --> 00:52:16,480 Speaker 5: Of a lot of stuff. 1091 00:52:17,080 --> 00:52:19,600 Speaker 6: Those pre rolls might be losing their their thirty two 1092 00:52:19,640 --> 00:52:22,080 Speaker 6: percent label really quick because it's going to show it 1093 00:52:22,080 --> 00:52:23,839 Speaker 6: as eighteen probably And a lot. 1094 00:52:23,800 --> 00:52:26,600 Speaker 2: Of people you fake that funk and they get they 1095 00:52:26,600 --> 00:52:30,120 Speaker 2: pay labs to cheat, and it's it's it's sad. I 1096 00:52:30,200 --> 00:52:32,360 Speaker 2: mean there's a lot of that going on in any industry, 1097 00:52:32,440 --> 00:52:35,480 Speaker 2: right but but I mean, right now you've got everybody 1098 00:52:35,560 --> 00:52:38,160 Speaker 2: stepping up, putting their chest out like I've got the best, and. 1099 00:52:38,080 --> 00:52:41,600 Speaker 6: It's competition again, it's like commercial competition. People want the business. 1100 00:52:41,600 --> 00:52:45,360 Speaker 6: So there's like it's not always completely nefarious how that happens, 1101 00:52:45,360 --> 00:52:48,080 Speaker 6: that that creep happens where you know, let me call 1102 00:52:48,120 --> 00:52:50,360 Speaker 6: the second lab when the first lab doesn't give me 1103 00:52:50,400 --> 00:52:52,279 Speaker 6: the number that I want I get the second set 1104 00:52:52,280 --> 00:52:56,000 Speaker 6: of results. Sometimes it's a little gentler, you know. And frankly, 1105 00:52:56,040 --> 00:53:00,120 Speaker 6: I come from Massachusetts, right, we self select in Massachusetts. 1106 00:53:00,680 --> 00:53:02,680 Speaker 6: That means we take our sample and we send them 1107 00:53:02,719 --> 00:53:08,200 Speaker 6: to the laboratory. Why wouldn't you self select the best sample? Yeah, 1108 00:53:08,320 --> 00:53:10,520 Speaker 6: that's what people do in light lab all over in 1109 00:53:10,560 --> 00:53:13,600 Speaker 6: every state that we self select. You should be using 1110 00:53:13,680 --> 00:53:14,319 Speaker 6: light lab because the. 1111 00:53:14,360 --> 00:53:15,480 Speaker 4: Different know what you're sending. 1112 00:53:16,520 --> 00:53:18,759 Speaker 6: And if you think it's that top bud, it ain't 1113 00:53:18,760 --> 00:53:21,479 Speaker 6: that top bud. It's definitely going to be probably your third, 1114 00:53:21,560 --> 00:53:24,120 Speaker 6: second or third intro no down that has your highest year. 1115 00:53:24,480 --> 00:53:26,799 Speaker 3: Is that true too? Huh oh yeah, look at you? 1116 00:53:26,840 --> 00:53:28,479 Speaker 3: What are you a scientist? 1117 00:53:30,360 --> 00:53:30,600 Speaker 4: Yeah? 1118 00:53:30,719 --> 00:53:32,799 Speaker 3: You know, I just want to keep going. 1119 00:53:32,880 --> 00:53:35,879 Speaker 4: But me, I can continue on a whole different thing 1120 00:53:35,880 --> 00:53:38,719 Speaker 4: about this because as you just say something like that, 1121 00:53:39,080 --> 00:53:41,320 Speaker 4: a we already have talked about how the THAC level 1122 00:53:41,320 --> 00:53:44,440 Speaker 4: doesn't matter the connabitives. How hard is it for people 1123 00:53:44,480 --> 00:53:47,120 Speaker 4: to get more of to just get more into the 1124 00:53:47,120 --> 00:53:49,600 Speaker 4: planet towards more than the four that you recommend, you know, 1125 00:53:49,840 --> 00:53:52,120 Speaker 4: or before you know what, I'm getting all nineteen that 1126 00:53:52,160 --> 00:53:52,960 Speaker 4: you guys test. 1127 00:53:53,080 --> 00:53:56,040 Speaker 6: Realize no plants growing all nineteen because some of them 1128 00:53:56,200 --> 00:53:59,520 Speaker 6: again are chemically converted, but like that is definitely it. 1129 00:53:59,560 --> 00:54:01,680 Speaker 6: When I look when I test somebody's stuff, I'm not 1130 00:54:02,160 --> 00:54:04,239 Speaker 6: aiming at the THHC. I won't even look at that 1131 00:54:04,320 --> 00:54:07,359 Speaker 6: number often. I will often first thing is like how 1132 00:54:07,400 --> 00:54:10,080 Speaker 6: much cbga do you have left in your plant? 1133 00:54:10,160 --> 00:54:10,239 Speaker 2: Right? 1134 00:54:10,280 --> 00:54:13,720 Speaker 6: Because the plant starts with the cbga and then turns 1135 00:54:13,760 --> 00:54:16,920 Speaker 6: it into c THHCA. So if I see somebody and 1136 00:54:16,960 --> 00:54:20,040 Speaker 6: they've got their fire and I'm like, yeah, nice, twenty 1137 00:54:20,080 --> 00:54:22,120 Speaker 6: five percent, but you got three and a half percent 1138 00:54:22,200 --> 00:54:24,920 Speaker 6: cbga left on that ship, that's a fail. 1139 00:54:25,360 --> 00:54:25,920 Speaker 3: That's a fail. 1140 00:54:26,040 --> 00:54:28,440 Speaker 6: That's a fail because that could have you could have 1141 00:54:28,480 --> 00:54:32,560 Speaker 6: pushed that another five ten days. The THHCA would have 1142 00:54:32,640 --> 00:54:35,880 Speaker 6: kept going because that CBGA number, so they could have 1143 00:54:35,960 --> 00:54:36,719 Speaker 6: kept converting. 1144 00:54:36,800 --> 00:54:38,400 Speaker 3: Yeah, they don't know, they don't know. 1145 00:54:38,520 --> 00:54:39,160 Speaker 6: And because it. 1146 00:54:39,080 --> 00:54:41,920 Speaker 2: Looked nice on the plant level and then right off 1147 00:54:41,960 --> 00:54:43,319 Speaker 2: the plant, it's just seventy three more days. 1148 00:54:43,360 --> 00:54:46,279 Speaker 5: But if you have this machine, you can test it 1149 00:54:46,360 --> 00:54:47,399 Speaker 5: and know that we. 1150 00:54:47,400 --> 00:54:51,600 Speaker 6: Have a harvest timing soph Well, yeah, if you got 1151 00:54:51,600 --> 00:54:54,000 Speaker 6: a nine week or you should be going at seven weeks, eight, 1152 00:54:54,360 --> 00:54:59,200 Speaker 6: eight and a half nine. 1153 00:54:58,120 --> 00:55:02,120 Speaker 3: And this should help. Well, yeah, that's why I said, 1154 00:55:02,160 --> 00:55:04,520 Speaker 3: we can blow this. This helps everybody. This just changes 1155 00:55:04,560 --> 00:55:04,839 Speaker 3: the game. 1156 00:55:05,920 --> 00:55:09,120 Speaker 2: I mean, we know, like I mean, we've had probably 1157 00:55:09,560 --> 00:55:11,520 Speaker 2: over the last fourteen years have been on air, you know, 1158 00:55:11,560 --> 00:55:15,480 Speaker 2: we probably had every grower and I'm just like, everybody 1159 00:55:15,480 --> 00:55:19,520 Speaker 2: needs one. But but uh, if we walk this product 1160 00:55:19,600 --> 00:55:23,040 Speaker 2: into you know, the store right now, we just start 1161 00:55:23,120 --> 00:55:26,080 Speaker 2: testing every product in the store, how many would fail. 1162 00:55:27,480 --> 00:55:30,120 Speaker 6: Fail meaning not be accurate to the THHD level on 1163 00:55:30,160 --> 00:55:35,800 Speaker 6: the table the bag. In California, Yeah a lot. 1164 00:55:37,120 --> 00:55:39,920 Speaker 3: Other states probably a lot. Yeah, other states. 1165 00:55:39,600 --> 00:55:43,040 Speaker 4: I mean, where's the best state in your opinion testing wise? 1166 00:55:43,080 --> 00:55:46,359 Speaker 6: Oh Jesus man, I don't know, Like there, I don't. 1167 00:55:46,400 --> 00:55:48,360 Speaker 6: I don't think about th I look at states that 1168 00:55:48,400 --> 00:55:50,760 Speaker 6: have really great laws around just how many tests decides 1169 00:55:50,760 --> 00:55:54,640 Speaker 6: they test. Yeah, all right, go to Colorado. Like I'm 1170 00:55:54,680 --> 00:55:56,640 Speaker 6: going to pick the states the test for the ship 1171 00:55:56,640 --> 00:55:59,400 Speaker 6: that I'm worried about, especially as a dabber, Like I 1172 00:55:59,400 --> 00:56:01,759 Speaker 6: don't want a bunch of concentrate that's full of a 1173 00:56:01,800 --> 00:56:05,719 Speaker 6: bunch of chemicals that shouldn't be there. And that's my 1174 00:56:05,800 --> 00:56:07,040 Speaker 6: biggest concern. 1175 00:56:06,719 --> 00:56:09,319 Speaker 4: As I think as the most consumers, they don't know 1176 00:56:09,600 --> 00:56:12,120 Speaker 4: what those are, you know what I mean, Like I 1177 00:56:12,120 --> 00:56:14,080 Speaker 4: wouldn't know, like, oh, you don't want to have that 1178 00:56:14,120 --> 00:56:15,879 Speaker 4: in your system, But okay, I just know I don't 1179 00:56:15,880 --> 00:56:16,440 Speaker 4: want medals. 1180 00:56:16,960 --> 00:56:18,960 Speaker 3: I mean what else should be people aware of when 1181 00:56:18,960 --> 00:56:22,440 Speaker 3: they're looking at these things? Like be aware of what mold? 1182 00:56:22,719 --> 00:56:23,000 Speaker 6: Right? 1183 00:56:23,160 --> 00:56:26,680 Speaker 4: Like that sounds simple, but yeah, maybe I would have. 1184 00:56:26,600 --> 00:56:27,440 Speaker 5: Known that one mold. 1185 00:56:27,480 --> 00:56:29,920 Speaker 6: And it's a funny thing because sometimes you don't want 1186 00:56:29,960 --> 00:56:32,920 Speaker 6: to see zero, Like mold is a bad thing, but 1187 00:56:33,000 --> 00:56:36,040 Speaker 6: remediation is also a bad thing. Right, do you want 1188 00:56:36,120 --> 00:56:37,760 Speaker 6: to have weed that was x rays apped? 1189 00:56:38,080 --> 00:56:38,279 Speaker 4: Right? 1190 00:56:38,600 --> 00:56:41,279 Speaker 6: There some places where you cannot buy commercial weed that 1191 00:56:41,320 --> 00:56:43,800 Speaker 6: has not been x ray app because it's just really 1192 00:56:44,600 --> 00:56:49,120 Speaker 6: challenging in some places. Good commercial grows would also say, bullshit. 1193 00:56:49,200 --> 00:56:51,800 Speaker 6: You can grow good commercial weed without weed without moisture 1194 00:56:51,840 --> 00:56:52,080 Speaker 6: on it. 1195 00:56:52,120 --> 00:56:55,080 Speaker 3: So yeah, well, thank you so much for joining the show. 1196 00:56:55,840 --> 00:56:59,120 Speaker 2: I can just tell you that you have educated us 1197 00:56:59,160 --> 00:57:00,879 Speaker 2: all and I shit it so much. 1198 00:57:01,000 --> 00:57:02,560 Speaker 6: It's definitely my pleasure. 1199 00:57:02,640 --> 00:57:05,000 Speaker 4: From Blue and Eye, Hello to the five kids, the 1200 00:57:05,040 --> 00:57:08,200 Speaker 4: three dogs, the two cats, the two fish, the lizard, 1201 00:57:08,560 --> 00:57:10,520 Speaker 4: and the new husband to be that we all say 1202 00:57:10,560 --> 00:57:13,239 Speaker 4: hello and thank you for allowing you to come out 1203 00:57:13,280 --> 00:57:14,080 Speaker 4: to the West coast. 1204 00:57:14,120 --> 00:57:16,600 Speaker 6: And oh that is definitely not how that works. I'm 1205 00:57:16,600 --> 00:57:20,360 Speaker 6: just gonna go ahead and say that. But yeah, yeah, no, 1206 00:57:20,560 --> 00:57:23,000 Speaker 6: they are all there waiting and. 1207 00:57:24,920 --> 00:57:25,520 Speaker 3: Not home yet. 1208 00:57:25,800 --> 00:57:28,160 Speaker 6: No, I'll be heading off after here, not to go home. 1209 00:57:28,160 --> 00:57:29,560 Speaker 6: They got a whole week of me last week. 1210 00:57:31,120 --> 00:57:34,320 Speaker 4: Moms off to the Capitol baby in California. 1211 00:57:34,600 --> 00:57:36,720 Speaker 3: Yeah, well there it is, guys. 1212 00:57:36,760 --> 00:57:37,640 Speaker 4: Is Cannabis Talk. 1213 00:57:37,520 --> 00:57:39,439 Speaker 3: One on one and remember this, if no one else 1214 00:57:39,480 --> 00:57:39,840 Speaker 3: loves you. 1215 00:57:40,240 --> 00:57:42,120 Speaker 4: We do funnel. 1216 00:57:42,160 --> 00:57:44,800 Speaker 1: Cannabis Talk one on one on all social media and 1217 00:57:45,040 --> 00:57:47,560 Speaker 1: Cannabis Talk one O one. Thank you for listening to 1218 00:57:47,640 --> 00:57:50,080 Speaker 1: Cannabis Talk one on one with Blue with Joe bron Day, 1219 00:57:50,440 --> 00:57:53,960 Speaker 1: the world's number one source for everything cannabis, and make 1220 00:57:54,000 --> 00:57:56,760 Speaker 1: sure you like, follow, and subscribe tod Cannabis Talk one 1221 00:57:56,800 --> 00:57:57,480 Speaker 1: on one now