1 00:00:03,000 --> 00:00:06,040 Speaker 1: It's now time for Cannabis Talk one oh one with Blue, 2 00:00:06,400 --> 00:00:09,719 Speaker 1: Joe Grande and Mark and Craig Wasserman the Pot Brothers 3 00:00:09,760 --> 00:00:13,720 Speaker 1: at Law. We're the world's number one podcast for everything cannabis. Well, 4 00:00:13,720 --> 00:00:15,680 Speaker 1: hello and welcome to Cannabis Talk one on one, the 5 00:00:15,720 --> 00:00:18,520 Speaker 1: world's number one source for everything cannabis. My name is Blue. 6 00:00:18,520 --> 00:00:21,279 Speaker 1: Alongside of me is Joe Grande. Thank you guys for 7 00:00:21,320 --> 00:00:23,280 Speaker 1: listening to the podcast. Kind of his talk one oh 8 00:00:23,320 --> 00:00:26,480 Speaker 1: one all around the world. We're at can Med in Pasadena, 9 00:00:27,160 --> 00:00:30,600 Speaker 1: and folks, you really heard us say this and off Mike. 10 00:00:30,840 --> 00:00:33,880 Speaker 1: Blue said some things, and Big Mike said some things. 11 00:00:33,960 --> 00:00:38,800 Speaker 1: I said some things. Bottom line, we're not kidding when 12 00:00:38,800 --> 00:00:41,239 Speaker 1: we say this is what Blue and I feel like 13 00:00:41,360 --> 00:00:44,240 Speaker 1: at least the world needs to see. So if you're 14 00:00:44,280 --> 00:00:46,319 Speaker 1: hearing us and you're like, oh what do you guys like? 15 00:00:46,600 --> 00:00:48,120 Speaker 1: You hear us talk about all these greater that you're 16 00:00:48,120 --> 00:00:50,240 Speaker 1: going and they're all fun and you'll get me wrong. 17 00:00:50,880 --> 00:00:53,040 Speaker 1: This is fun in a different fun way. We're not 18 00:00:53,080 --> 00:00:55,160 Speaker 1: staying out at two in the morning for an after 19 00:00:55,200 --> 00:00:57,800 Speaker 1: party here, and this to me is a better fun brain. 20 00:00:58,080 --> 00:01:03,200 Speaker 1: This is brain. Thank you very well. Said that those 21 00:01:03,280 --> 00:01:05,920 Speaker 1: other fun of it are fun and great times, fun, fun, fun. 22 00:01:06,440 --> 00:01:10,360 Speaker 1: This can med is brain food. Well different, different, different, 23 00:01:10,880 --> 00:01:12,480 Speaker 1: It's just and it's and I'll tell you this, it's 24 00:01:12,520 --> 00:01:16,959 Speaker 1: a different and great one. Hear me now, believe me 25 00:01:17,160 --> 00:01:19,560 Speaker 1: later when you come to can Men. Folks, thank you 26 00:01:19,600 --> 00:01:22,000 Speaker 1: for checking us out. Check out our website Cannabis Talk 27 00:01:22,040 --> 00:01:24,040 Speaker 1: one on one dot com, as we are the world's 28 00:01:24,120 --> 00:01:26,440 Speaker 1: number one source for everything cannabis. That's why we're here 29 00:01:26,480 --> 00:01:28,840 Speaker 1: telling you about can Men because you need to know, 30 00:01:29,560 --> 00:01:31,560 Speaker 1: and we have so many great articles and blogs on 31 00:01:31,600 --> 00:01:33,399 Speaker 1: our site. Make sure you give us a call anytime 32 00:01:33,400 --> 00:01:37,520 Speaker 1: on and check out the i G page Cannabis Talk 33 00:01:37,560 --> 00:01:40,319 Speaker 1: one oh one. Blue is at one. Christopher writes, I 34 00:01:40,360 --> 00:01:43,440 Speaker 1: am at Joe Grand fifty two on the show this 35 00:01:43,520 --> 00:01:46,240 Speaker 1: gentleman right here. I mean, not only does he look 36 00:01:46,360 --> 00:01:49,200 Speaker 1: like this Puerto Rican New York dude that was just 37 00:01:49,280 --> 00:01:51,680 Speaker 1: in one of the movies and a Disney character kid, 38 00:01:52,640 --> 00:01:55,480 Speaker 1: I mean he's just a good looking young chap. Austin 39 00:01:55,600 --> 00:02:03,280 Speaker 1: Moses marketing director Slash M. Mottel for Evelyn Cannabis feels 40 00:02:03,400 --> 00:02:08,359 Speaker 1: flower the lid. I mean he's basically selling affordable flower 41 00:02:10,200 --> 00:02:16,840 Speaker 1: at where do you guys at where do you guys 42 00:02:16,880 --> 00:02:20,040 Speaker 1: come from out of Santa Rosa clos based out of 43 00:02:20,040 --> 00:02:21,600 Speaker 1: Santa Rosa Colle pull it to you if you want. 44 00:02:21,600 --> 00:02:24,560 Speaker 1: Actually like, I'm holding mind too if you like that. Yeah, 45 00:02:24,919 --> 00:02:27,320 Speaker 1: we're based out of Santa Rosa, California. Are you from 46 00:02:27,320 --> 00:02:30,000 Speaker 1: out there yourself too? No, I'm actually originally from Maryland. 47 00:02:30,400 --> 00:02:33,239 Speaker 1: Oh really yeah, from Maryland. Moved out here about five 48 00:02:33,320 --> 00:02:35,519 Speaker 1: years ago and they've been with Santa Rosa for the 49 00:02:35,560 --> 00:02:38,680 Speaker 1: past three years. And you just hooked up at this company? 50 00:02:38,680 --> 00:02:41,400 Speaker 1: Have been how long ago? They got me about three 51 00:02:41,480 --> 00:02:43,240 Speaker 1: and a half when I was working at a dispensary 52 00:02:43,240 --> 00:02:44,800 Speaker 1: and then they pulled me up and I've been working 53 00:02:44,800 --> 00:02:46,480 Speaker 1: my way up the ranks ever since. Well, I gotta 54 00:02:46,480 --> 00:02:48,639 Speaker 1: tell you, off top, I'm gonna praise you for something 55 00:02:48,680 --> 00:02:54,120 Speaker 1: that I love and because the cannabis smells fire cannabis, 56 00:02:55,440 --> 00:02:57,040 Speaker 1: so you're gonna have a good product. But you, as 57 00:02:57,080 --> 00:03:00,320 Speaker 1: a young man, I'm impressed with you. Off top eight. 58 00:03:00,520 --> 00:03:02,360 Speaker 1: You looked the part, meaning you got your logo on 59 00:03:02,400 --> 00:03:04,239 Speaker 1: your hat. You're doing good. I'm gonna probably this because 60 00:03:04,280 --> 00:03:05,600 Speaker 1: you're young, So I want to give you this because 61 00:03:05,600 --> 00:03:07,760 Speaker 1: you're such a good young man and a minority so 62 00:03:07,760 --> 00:03:09,760 Speaker 1: therefore you need to hear it from your voice. And 63 00:03:09,760 --> 00:03:11,760 Speaker 1: you've got all your product up here. You're a gee dog. 64 00:03:11,760 --> 00:03:14,040 Speaker 1: You're doing it right, and your company needs to realize 65 00:03:14,040 --> 00:03:15,560 Speaker 1: And I hope they listen to this, because your company 66 00:03:15,600 --> 00:03:19,040 Speaker 1: that you're representing, your boy is doing you right. He's 67 00:03:19,080 --> 00:03:21,360 Speaker 1: on a podcast that right now that's hurting a hundred 68 00:03:21,360 --> 00:03:24,440 Speaker 1: and forty eight countries and your product is displayed. So 69 00:03:24,480 --> 00:03:26,480 Speaker 1: the money you're spending on this kid right now is 70 00:03:26,520 --> 00:03:30,120 Speaker 1: well worth it. He's the marketing director and he's on 71 00:03:30,160 --> 00:03:33,480 Speaker 1: the show. And I praise you for that player. Serious, 72 00:03:34,120 --> 00:03:35,600 Speaker 1: that's game that should be sold and not told that 73 00:03:35,640 --> 00:03:38,400 Speaker 1: you're doing. You got yourself on this show. It ain't easy. 74 00:03:38,400 --> 00:03:40,440 Speaker 1: We're talking to scientists, this and that and this. Now 75 00:03:40,480 --> 00:03:42,320 Speaker 1: this kid comes up there doing this thing. Tell me 76 00:03:42,360 --> 00:03:44,880 Speaker 1: about this brand. So we're based on us in Oma County. 77 00:03:45,360 --> 00:03:47,640 Speaker 1: Before the wholesale market crash, we used to be a 78 00:03:48,680 --> 00:03:52,280 Speaker 1: wholesale fifty percent in the brand. This year, obviously the 79 00:03:52,280 --> 00:03:55,600 Speaker 1: wholesale market crash horribly. We put a lot of product 80 00:03:55,640 --> 00:03:58,520 Speaker 1: into the brand and um, you know, we've been able 81 00:03:58,600 --> 00:04:00,960 Speaker 1: to make a name for ourselves, and that's really because 82 00:04:00,960 --> 00:04:02,560 Speaker 1: of the quality control that we have. So we're a 83 00:04:02,600 --> 00:04:06,440 Speaker 1: greenhouse Brannon, Sanoma County. UM. Sonoma County is known for 84 00:04:06,640 --> 00:04:08,640 Speaker 1: the best micro climate or one of the best microclimates 85 00:04:08,640 --> 00:04:11,720 Speaker 1: to grow cannabis in. We have experienced growers that have 86 00:04:11,760 --> 00:04:15,520 Speaker 1: been growing for generations. Uh, they're actually our head cultivators. 87 00:04:15,560 --> 00:04:18,599 Speaker 1: Father Um used to grow Moroccan hash and main market 88 00:04:18,680 --> 00:04:21,320 Speaker 1: hash for long a long time and his dad was 89 00:04:21,480 --> 00:04:23,680 Speaker 1: the first one that actually stopped it. And then his 90 00:04:23,800 --> 00:04:27,240 Speaker 1: son got back into it again and started again, and 91 00:04:27,279 --> 00:04:29,520 Speaker 1: he's he's like the main reason why the product looks good. 92 00:04:29,560 --> 00:04:31,120 Speaker 1: You know, Sanoma County can do a lot, but our 93 00:04:31,120 --> 00:04:34,680 Speaker 1: cultivators put a lot of four acres all spread out 94 00:04:34,720 --> 00:04:37,400 Speaker 1: throughout Sanoma County. Now, you guys, is it Your guys 95 00:04:37,400 --> 00:04:40,640 Speaker 1: just grow our own cultivation distribution from start to finish. 96 00:04:40,640 --> 00:04:42,560 Speaker 1: It's it's all of us. Wow. So you guys have 97 00:04:42,600 --> 00:04:45,320 Speaker 1: a full on facility. You guys are growing out of it. 98 00:04:45,520 --> 00:04:48,760 Speaker 1: And how long have you guys been in uh Sanomac County. 99 00:04:48,880 --> 00:04:51,840 Speaker 1: So we've been in Sanoma County since two thousand and sixteen. UM. 100 00:04:51,880 --> 00:04:54,320 Speaker 1: At that time, we were just uh, you know, cultivation 101 00:04:54,360 --> 00:04:56,120 Speaker 1: company and put our flower out through a lot of 102 00:04:56,120 --> 00:04:58,400 Speaker 1: people's brands. But then you know, it got to the 103 00:04:58,440 --> 00:05:00,800 Speaker 1: point where, um, it just had more sense to put 104 00:05:00,800 --> 00:05:02,240 Speaker 1: a brand. I mean the flower in the quality of 105 00:05:02,279 --> 00:05:05,920 Speaker 1: camera growing it. I mean, why not right stuff? And 106 00:05:06,080 --> 00:05:08,080 Speaker 1: that's kind of how our owners are. They're like, it's 107 00:05:08,120 --> 00:05:10,840 Speaker 1: our stuff, it's good stuff. Let's not hit people over 108 00:05:10,880 --> 00:05:12,479 Speaker 1: the head by selling it to companies that are gonna 109 00:05:12,600 --> 00:05:14,520 Speaker 1: up charge it. Let's get out there for a quality 110 00:05:14,520 --> 00:05:15,720 Speaker 1: price and trying to get the people. What is it 111 00:05:15,800 --> 00:05:21,560 Speaker 1: want for about the dispensary, Yeah, that's a great price 112 00:05:23,120 --> 00:05:25,160 Speaker 1: if it if it goes over thirty, you'll get a 113 00:05:25,160 --> 00:05:27,120 Speaker 1: call from myself for somebody else and we'll try to 114 00:05:27,120 --> 00:05:29,240 Speaker 1: have a talk about lowering it so that but twenty 115 00:05:29,279 --> 00:05:31,520 Speaker 1: five is the ideal price point where we wanted at. 116 00:05:31,560 --> 00:05:35,280 Speaker 1: That's a suggested retail price. Yeah, dispensaries, you guys at 117 00:05:35,760 --> 00:05:40,040 Speaker 1: we're in over sixteen throughout the whole state. Yeah, some 118 00:05:40,080 --> 00:05:42,479 Speaker 1: of our favorite are doing it then, Yeah, we're trying 119 00:05:42,480 --> 00:05:46,160 Speaker 1: to killing it from all the way like to Sacktown 120 00:05:46,320 --> 00:05:48,479 Speaker 1: to San Diego, Like what are we talking about her 121 00:05:48,680 --> 00:05:52,280 Speaker 1: Yukaya Medicino all the way down to San Diego, all 122 00:05:52,320 --> 00:05:55,800 Speaker 1: the way out to Palm Springs, Central valley, you name it. 123 00:05:55,839 --> 00:06:00,479 Speaker 1: We're in every prominent area. Fantastic and it's the big 124 00:06:00,520 --> 00:06:02,760 Speaker 1: products that you guys. So the lowest is twenty five 125 00:06:02,800 --> 00:06:04,600 Speaker 1: because I see different packaging. So tell me about the 126 00:06:04,640 --> 00:06:07,599 Speaker 1: different flowers we've got. So we have, uh, we usually 127 00:06:07,600 --> 00:06:10,320 Speaker 1: have eighteen different strands at one time, all that hit 128 00:06:10,320 --> 00:06:15,560 Speaker 1: for that eighteen strange all for that price. That want 129 00:06:15,560 --> 00:06:18,040 Speaker 1: to your people flavors, variety. Good back to the real 130 00:06:18,080 --> 00:06:20,159 Speaker 1: cultural aspect of it, to where like you're not having 131 00:06:20,200 --> 00:06:22,159 Speaker 1: to get hit over the head just to get quality cannabis. 132 00:06:22,200 --> 00:06:24,559 Speaker 1: You know what I mean. You can get a quality price. 133 00:06:24,640 --> 00:06:27,160 Speaker 1: You can get a quality uh you know, terpenes that 134 00:06:27,240 --> 00:06:29,120 Speaker 1: you get out of it, from the aroma that hit, 135 00:06:29,279 --> 00:06:31,560 Speaker 1: the taste, the t a C percentages, even though that 136 00:06:31,600 --> 00:06:33,560 Speaker 1: doesn't matter as much. You get all of that within 137 00:06:33,839 --> 00:06:36,520 Speaker 1: our brand. What's your favorite one? My favorite one is 138 00:06:36,560 --> 00:06:38,400 Speaker 1: actually not here. We sold out of it the water 139 00:06:38,440 --> 00:06:41,480 Speaker 1: Mama Moosa. It was our number one strand this year. 140 00:06:41,640 --> 00:06:47,560 Speaker 1: Sounds delicious. You have eight brands, so eight so we 141 00:06:47,600 --> 00:06:51,440 Speaker 1: have um the Fields Flower, which is a brand under Elan. 142 00:06:51,640 --> 00:06:53,920 Speaker 1: Elon is our main staple brand that we have. That's 143 00:06:53,920 --> 00:06:56,240 Speaker 1: the one where all the quality flower goes into then 144 00:06:56,279 --> 00:06:57,920 Speaker 1: we have like our sources out to where we go 145 00:06:58,000 --> 00:07:00,000 Speaker 1: to fields Flower, which is like, okay, maybe it didn't 146 00:07:00,040 --> 00:07:02,479 Speaker 1: hit the have the right bud structure, maybe it didn't 147 00:07:02,520 --> 00:07:04,719 Speaker 1: taste as good. Something about it was off to where 148 00:07:04,760 --> 00:07:06,560 Speaker 1: we still don't want people, you know, we still want 149 00:07:06,600 --> 00:07:08,159 Speaker 1: people to have a good experience with it, but not 150 00:07:08,200 --> 00:07:10,760 Speaker 1: get charged the same price as early on. So we 151 00:07:10,800 --> 00:07:13,000 Speaker 1: have fields Flower, which is usually like fifteen dollars and 152 00:07:13,040 --> 00:07:16,240 Speaker 1: anthan of dispensary. Nice, so what breaking cheaper? But let 153 00:07:16,280 --> 00:07:18,040 Speaker 1: me ask you this, what brings you to this show? 154 00:07:18,080 --> 00:07:20,680 Speaker 1: Because this isn't a typical show where you see a 155 00:07:20,720 --> 00:07:22,920 Speaker 1: bunch of brands. I mean, you know, I think you're 156 00:07:22,960 --> 00:07:26,000 Speaker 1: the likely brand I see here, which is powerful, very smart, 157 00:07:26,560 --> 00:07:28,800 Speaker 1: um and and I and I'm sure there's other people 158 00:07:28,800 --> 00:07:32,000 Speaker 1: that have brands here. But again this is more of 159 00:07:32,040 --> 00:07:34,240 Speaker 1: a this is more of a show. Yeah, what what 160 00:07:34,320 --> 00:07:36,240 Speaker 1: brings you this show? Honestly, I feel like a lot 161 00:07:36,240 --> 00:07:38,080 Speaker 1: of people don't What they don't talk about they need 162 00:07:38,120 --> 00:07:40,320 Speaker 1: to talk about is the price of cannabis and how 163 00:07:40,360 --> 00:07:43,000 Speaker 1: people are getting hit over the head for these prices 164 00:07:43,000 --> 00:07:45,080 Speaker 1: inside of the industry. And it doesn't personally to me. 165 00:07:45,120 --> 00:07:47,320 Speaker 1: It doesn't make sense. If you're trying to get rid 166 00:07:47,320 --> 00:07:49,440 Speaker 1: of the traditional market and you're trying to have people 167 00:07:49,480 --> 00:07:52,120 Speaker 1: come in and want to shop legally, then the prices 168 00:07:52,200 --> 00:07:53,760 Speaker 1: kind of need to be changed in the structure of 169 00:07:53,760 --> 00:07:56,400 Speaker 1: how we're educating people on the like what we're selling 170 00:07:56,400 --> 00:07:57,760 Speaker 1: the people needs to change. We need to make it 171 00:07:57,800 --> 00:08:00,640 Speaker 1: more affordable. Evalon is legit and my that's great to 172 00:08:00,640 --> 00:08:02,400 Speaker 1: hear all the different strains and the reason why you're 173 00:08:02,440 --> 00:08:04,040 Speaker 1: here for that type of matter, because if you think 174 00:08:04,080 --> 00:08:06,720 Speaker 1: about it too, it goes hand in hand. Blue like 175 00:08:06,840 --> 00:08:10,360 Speaker 1: these cats from this his company are here to lower 176 00:08:10,440 --> 00:08:14,280 Speaker 1: the price of medicine being at something like this that 177 00:08:14,400 --> 00:08:19,080 Speaker 1: this has really looked at as a medicine of cannabis expo, right, 178 00:08:19,760 --> 00:08:22,160 Speaker 1: And so I feel like Evalon is like going to 179 00:08:22,160 --> 00:08:24,600 Speaker 1: do well. The Mega is at a little player better 180 00:08:24,680 --> 00:08:27,520 Speaker 1: price for these cats out there that need this medicine. 181 00:08:27,800 --> 00:08:30,320 Speaker 1: And I feel like you guys, with how low can 182 00:08:30,360 --> 00:08:32,520 Speaker 1: we go for an eighth? From you guys, I think 183 00:08:32,559 --> 00:08:34,719 Speaker 1: the lowest eighth is a bobby like twelve dollars in 184 00:08:34,760 --> 00:08:39,440 Speaker 1: a dispensaries. Yeah, and that's usually like Santa Rosa, Sonoma County, 185 00:08:39,520 --> 00:08:41,640 Speaker 1: Central Valley area stuff like that you usually get it 186 00:08:41,640 --> 00:08:43,640 Speaker 1: for like tended tow and do you feel like you 187 00:08:43,679 --> 00:08:46,240 Speaker 1: still get more of a customer base because of that, 188 00:08:46,280 --> 00:08:48,640 Speaker 1: because a lot of these people cannot afford you know, 189 00:08:48,679 --> 00:08:50,800 Speaker 1: there's there, Let's just be honest, there's a lot of 190 00:08:50,800 --> 00:08:54,000 Speaker 1: people they can't afford eight, you know, but a twelve 191 00:08:54,040 --> 00:08:56,679 Speaker 1: dollar eighth maybe they can or in let alone a 192 00:08:56,720 --> 00:09:00,000 Speaker 1: sixty or seventy dollar for that matter, right, And honest, 193 00:09:00,000 --> 00:09:01,920 Speaker 1: see that's why too, because we were selling our cannabis 194 00:09:01,960 --> 00:09:03,719 Speaker 1: to a lot of companies that were passing it off 195 00:09:03,760 --> 00:09:06,880 Speaker 1: as indoor or light assisted um and being able to 196 00:09:06,920 --> 00:09:09,280 Speaker 1: sell it for like forty five fifty dollars in the dispensary, 197 00:09:09,600 --> 00:09:11,480 Speaker 1: and then now they're getting robbed for cannabis that they 198 00:09:11,480 --> 00:09:13,280 Speaker 1: need to actually use on a day to day basis 199 00:09:13,320 --> 00:09:15,920 Speaker 1: and you know, medicate themselves. And like even on our packaging, 200 00:09:15,960 --> 00:09:17,960 Speaker 1: when you scan the QR code, it takes you to 201 00:09:18,000 --> 00:09:20,800 Speaker 1: the website that tells you description about the cross, the turpens, 202 00:09:20,800 --> 00:09:22,920 Speaker 1: the medical benefits. That way, you can make the right 203 00:09:22,920 --> 00:09:25,240 Speaker 1: decision when you're buying your cannabis and not feel robbed 204 00:09:25,559 --> 00:09:27,360 Speaker 1: by like, oh I got cheap weed, No, you've got 205 00:09:27,440 --> 00:09:29,920 Speaker 1: quality weed. For an affordable price. Do you work out 206 00:09:29,920 --> 00:09:31,520 Speaker 1: of the farm from the farm or do you work 207 00:09:31,520 --> 00:09:33,520 Speaker 1: out of one of the stores or uh So we 208 00:09:33,600 --> 00:09:36,080 Speaker 1: have our our four cultivations in Santa Rosa and our 209 00:09:36,120 --> 00:09:38,200 Speaker 1: distribution center up there, and then we have an office 210 00:09:38,240 --> 00:09:40,960 Speaker 1: up in Santa Rosa. But I'm like, I'm all throughout 211 00:09:40,960 --> 00:09:42,640 Speaker 1: the state. I'm here every other week. I'm in the 212 00:09:42,720 --> 00:09:46,480 Speaker 1: Central Valley, Santa Barbara road Way. I'm on the road probly, yeah, 213 00:09:46,600 --> 00:09:48,960 Speaker 1: yeah yeah. Talk about this logo, dog, but I feel 214 00:09:49,000 --> 00:09:52,640 Speaker 1: like the logo is, uh, there's a story behind it. Yes, 215 00:09:52,760 --> 00:09:55,200 Speaker 1: So ellion actually means the most high in Hebrew. So 216 00:09:55,280 --> 00:09:57,240 Speaker 1: that's actually why it's our tagline as well too. And 217 00:09:57,240 --> 00:10:00,520 Speaker 1: that's it looks like a Hebrew symbum. Simple so it's 218 00:10:00,559 --> 00:10:02,719 Speaker 1: all seeing I. Then you have a pot leaf behind it. 219 00:10:02,840 --> 00:10:04,840 Speaker 1: That's what I think. That's the funnier thing. I like, 220 00:10:04,840 --> 00:10:06,679 Speaker 1: do I see you partly? With it all? See it? 221 00:10:06,760 --> 00:10:09,040 Speaker 1: I swarted God. I was gonna say exactly that, but 222 00:10:09,080 --> 00:10:11,720 Speaker 1: I didn't want to say it. But the pot leaf 223 00:10:11,800 --> 00:10:13,920 Speaker 1: loips a little different because that bottom part of the 224 00:10:13,960 --> 00:10:17,240 Speaker 1: pot leaf. So that's it's like this, it's over time. 225 00:10:17,400 --> 00:10:20,240 Speaker 1: The um the graphic designers have tried to make it 226 00:10:20,280 --> 00:10:24,280 Speaker 1: more geometric. Um, you know, the most story, most story 227 00:10:24,360 --> 00:10:26,679 Speaker 1: kind of looking. So it's kind of faded away from 228 00:10:26,720 --> 00:10:28,839 Speaker 1: that the actual pot leaf because if partly from the 229 00:10:28,880 --> 00:10:31,800 Speaker 1: bottom would have more the partly that bottom triangle on 230 00:10:31,840 --> 00:10:34,120 Speaker 1: the bottom of the other triangles. What threw me off? 231 00:10:34,840 --> 00:10:38,120 Speaker 1: What is that it's just honestly the stem the designer. 232 00:10:38,200 --> 00:10:40,400 Speaker 1: It's supposed to be the stem, but it's the designer honestly, 233 00:10:40,480 --> 00:10:42,840 Speaker 1: just trying to make it all symmetric all the way around. 234 00:10:42,840 --> 00:10:44,839 Speaker 1: It does have a more of a symmetric look with that, 235 00:10:44,920 --> 00:10:47,000 Speaker 1: I agree. And it's a beautiful logo, to be honest 236 00:10:47,000 --> 00:10:48,440 Speaker 1: with you, because I keep looking at your hat and 237 00:10:48,440 --> 00:10:50,679 Speaker 1: your head and your pretty eyes, but I'm looking at 238 00:10:50,679 --> 00:10:53,160 Speaker 1: the logo. Jeez, that looks nice. And I'm looking at 239 00:10:53,200 --> 00:10:55,240 Speaker 1: the logo on the package. You're going it's a cool 240 00:10:55,240 --> 00:10:58,120 Speaker 1: looking logo and it's You're right, it's that Hebrew I 241 00:10:58,480 --> 00:11:01,640 Speaker 1: with this the cannabis plant behind it. Yeah, you know, 242 00:11:01,760 --> 00:11:03,720 Speaker 1: it's really good to have you on this show, Austin. 243 00:11:03,760 --> 00:11:06,120 Speaker 1: Your product looks nice. You did a great job presenting it. 244 00:11:06,480 --> 00:11:08,640 Speaker 1: For those that don't know the website, the I g 245 00:11:09,200 --> 00:11:11,440 Speaker 1: so Ellie on cannabis and you have to type it 246 00:11:11,440 --> 00:11:14,080 Speaker 1: all the way in Instagram does not like cannabis brands 247 00:11:14,120 --> 00:11:17,120 Speaker 1: a lot. So we are shadow band and then uh 248 00:11:17,320 --> 00:11:20,599 Speaker 1: we also have on YouTube Bengo Distribution. That's where you 249 00:11:20,640 --> 00:11:22,560 Speaker 1: can get all of our educational videos that we post 250 00:11:22,600 --> 00:11:24,600 Speaker 1: on their keep updates on what's going on in the 251 00:11:24,600 --> 00:11:26,640 Speaker 1: farm and get more in tune with us what kind 252 00:11:26,640 --> 00:11:28,679 Speaker 1: of videos we're looking at. Like, so we have like 253 00:11:28,840 --> 00:11:31,200 Speaker 1: uh right now, we do cannabis like kind of cannabis 254 00:11:31,200 --> 00:11:32,920 Speaker 1: one on one as well too, where we're teaching people 255 00:11:32,920 --> 00:11:35,800 Speaker 1: about cultivation practices, how to grow, how to grow on 256 00:11:35,840 --> 00:11:38,520 Speaker 1: your own. Um. Also like how to roll a joint, 257 00:11:38,720 --> 00:11:40,840 Speaker 1: how to clean a boll of grinder, just regular stuff 258 00:11:40,880 --> 00:11:42,040 Speaker 1: that they want to be able to learn. And then 259 00:11:42,080 --> 00:11:45,280 Speaker 1: also uh Cannabis UM Sunday Schools what we call it 260 00:11:45,679 --> 00:11:48,600 Speaker 1: so UM. And with that it's more about like turpenes, 261 00:11:48,640 --> 00:11:51,319 Speaker 1: candy anoids, going more in depth about like the lineage 262 00:11:51,559 --> 00:11:53,440 Speaker 1: uh for our strands and how you can make a 263 00:11:53,440 --> 00:11:55,520 Speaker 1: better decision, you know, things like that. I would love 264 00:11:55,559 --> 00:11:57,719 Speaker 1: to hook you up with Ali Muffins as you hear 265 00:11:57,800 --> 00:11:59,440 Speaker 1: right now with us or is he in a seminar? 266 00:11:59,760 --> 00:12:02,160 Speaker 1: Big sure? We connect him with Dali Muffins and get 267 00:12:02,200 --> 00:12:04,440 Speaker 1: those guys on our clubhouse to talk about all those 268 00:12:04,480 --> 00:12:06,480 Speaker 1: things that you're talking about. Because we do a clubhouse, 269 00:12:06,480 --> 00:12:09,079 Speaker 1: it's very familiar similar to what you're talking about. And 270 00:12:09,120 --> 00:12:11,000 Speaker 1: I would love to cross promote on our platform and 271 00:12:11,040 --> 00:12:12,440 Speaker 1: your platform or if you don't want to use us 272 00:12:12,480 --> 00:12:16,319 Speaker 1: and screw you. Um, you know you don't love what 273 00:12:16,360 --> 00:12:18,920 Speaker 1: I'm saying. We'd like to utilize yours or us for 274 00:12:19,000 --> 00:12:21,000 Speaker 1: you and we couldn't do that. But you know my 275 00:12:21,040 --> 00:12:22,920 Speaker 1: point is everything you're just describing is something that we 276 00:12:23,000 --> 00:12:25,760 Speaker 1: do too. Yes, like we have medical Mondays Tuesdays, and 277 00:12:25,800 --> 00:12:27,800 Speaker 1: we have all these things like that too. So the 278 00:12:27,800 --> 00:12:29,520 Speaker 1: team understands we're gonna make sure we connected with that. 279 00:12:29,600 --> 00:12:31,720 Speaker 1: Anything else you want to break down about the company 280 00:12:31,720 --> 00:12:35,280 Speaker 1: before we let you go, No, just affordable cannabis. We 281 00:12:35,320 --> 00:12:37,199 Speaker 1: need to make sure it's more affordable for people, and 282 00:12:37,200 --> 00:12:38,920 Speaker 1: there's people every day that want to be able to 283 00:12:39,000 --> 00:12:41,360 Speaker 1: enjoy it and not feel like they rob Let's stop 284 00:12:41,360 --> 00:12:43,160 Speaker 1: just putting the bottom of the bag and stuff at 285 00:12:43,160 --> 00:12:44,960 Speaker 1: that price point. Let's make sure we put quality in 286 00:12:44,960 --> 00:12:46,960 Speaker 1: there so people can enjoy it and come back and 287 00:12:46,960 --> 00:12:48,360 Speaker 1: we can actually make the change we want to make 288 00:12:48,360 --> 00:12:51,800 Speaker 1: in this industry. Well, guys, it's elie E L B 289 00:12:52,080 --> 00:12:55,679 Speaker 1: O N Cannabis on I G. It's Cannabis Talk one 290 00:12:55,679 --> 00:12:57,920 Speaker 1: on one. We'll be right back after this break. Bam, 291 00:12:58,000 --> 00:13:00,520 Speaker 1: We'll be right back with Cannabis Talk one oh one. 292 00:13:10,240 --> 00:13:13,520 Speaker 1: Welcome back to Cannabis Talk one oh one. But Tender 293 00:13:13,559 --> 00:13:16,120 Speaker 1: Awards created G four Live with the vision to be 294 00:13:16,160 --> 00:13:19,960 Speaker 1: the most ambitious and essential cannabis event ever. This show 295 00:13:20,080 --> 00:13:22,320 Speaker 1: is designed for people that want to take their talent 296 00:13:22,440 --> 00:13:25,280 Speaker 1: and their business to the next level. Folks, join us 297 00:13:25,280 --> 00:13:27,920 Speaker 1: in Las Vegas, May twelve, of the fourteenth at the 298 00:13:28,000 --> 00:13:31,240 Speaker 1: all new Resort world Snoop Dogg that's right, and Travis 299 00:13:31,280 --> 00:13:33,480 Speaker 1: Barker will be performing All the Way Live together for 300 00:13:33,520 --> 00:13:37,000 Speaker 1: the first time. If you don't go, don't Welcome back 301 00:13:37,040 --> 00:13:38,880 Speaker 1: to the show. You guys, you heard us tell you 302 00:13:38,880 --> 00:13:41,840 Speaker 1: where we're at. We're at can Med over here in Pasadena, 303 00:13:42,000 --> 00:13:47,160 Speaker 1: and right now we have two lovely ladies that joined us, 304 00:13:47,240 --> 00:13:51,120 Speaker 1: and I'm telling you I've seen an overheard Pam talking 305 00:13:51,320 --> 00:13:55,440 Speaker 1: a little bit to Pam and Cindy. Cindy Orser, who 306 00:13:55,960 --> 00:14:01,520 Speaker 1: um Cindy is has the only the second lab to 307 00:14:01,559 --> 00:14:06,839 Speaker 1: be certified for chemometric analysis in the state of California. 308 00:14:06,920 --> 00:14:09,959 Speaker 1: First off, I gotta ask you saiting before I get 309 00:14:09,960 --> 00:14:13,240 Speaker 1: to upan what the hell is chemometric anyways, I don't 310 00:14:13,240 --> 00:14:17,280 Speaker 1: even know it. Yeah, well, and welcome to the show, 311 00:14:17,320 --> 00:14:21,880 Speaker 1: the lady. Yeah, okay, thank you. Well, chemometrics means what 312 00:14:22,040 --> 00:14:27,120 Speaker 1: it sounds like. So chemo meaning chemical and metrics is 313 00:14:27,160 --> 00:14:31,800 Speaker 1: a major. So there's a lot of data collected when 314 00:14:32,240 --> 00:14:36,640 Speaker 1: your cannabis is tested. So there's the potency made up 315 00:14:36,680 --> 00:14:41,680 Speaker 1: of the cannabinoids and the turpens. So when you combine 316 00:14:41,760 --> 00:14:46,800 Speaker 1: that data through the use of statistics, you can get 317 00:14:46,840 --> 00:14:51,440 Speaker 1: a metric or a visual representation of what is in 318 00:14:51,480 --> 00:14:55,960 Speaker 1: that cannabis. And so clip Labs has been working with 319 00:14:56,120 --> 00:14:59,480 Speaker 1: in a pro and we're about to launch it's called 320 00:14:59,560 --> 00:15:07,080 Speaker 1: Fido Facts, and so that provides this digital display on 321 00:15:07,240 --> 00:15:10,600 Speaker 1: the sea of ase that will tell you if you 322 00:15:10,760 --> 00:15:14,720 Speaker 1: use this product, you're gonna get sleepy, or you're going 323 00:15:14,840 --> 00:15:20,520 Speaker 1: to be mellow or and and those attributes are derived 324 00:15:20,680 --> 00:15:25,160 Speaker 1: from the unique combination of chirpings and the cannabinoids that 325 00:15:25,240 --> 00:15:30,680 Speaker 1: are found in that particular strain. So early on when 326 00:15:30,880 --> 00:15:35,240 Speaker 1: I was at Digipath Labs, which um I helped build 327 00:15:35,280 --> 00:15:39,560 Speaker 1: out in the beginning in Las Vegas. We realized that 328 00:15:39,960 --> 00:15:45,680 Speaker 1: of these four hundred strains, right, all these cannabis have 329 00:15:46,080 --> 00:15:49,840 Speaker 1: these funky names, and the names can change. That the 330 00:15:49,960 --> 00:15:54,760 Speaker 1: way to distinguish them is by looking at their chirping 331 00:15:54,960 --> 00:16:02,840 Speaker 1: chemical profile, not their cannabinoids. Because of all the cannabis 332 00:16:02,880 --> 00:16:06,040 Speaker 1: that was sold in Las Vegas at that time, they 333 00:16:06,080 --> 00:16:09,280 Speaker 1: were all drug type PHC, so they all had high 334 00:16:09,320 --> 00:16:13,320 Speaker 1: th HC levels or or they were indicate because everything 335 00:16:13,360 --> 00:16:19,240 Speaker 1: has been bred in that direction. Yet if you smell them, 336 00:16:19,280 --> 00:16:24,560 Speaker 1: if you took in that sensory perception, they did seem different. 337 00:16:25,200 --> 00:16:29,280 Speaker 1: And that difference is a combination of the tirupings that 338 00:16:29,360 --> 00:16:34,520 Speaker 1: those plants make. So we took that data from over 339 00:16:34,600 --> 00:16:40,200 Speaker 1: six thousand strains and analyzed it through a chemometric program 340 00:16:40,800 --> 00:16:44,880 Speaker 1: and came up with grouping. So there really are only 341 00:16:44,960 --> 00:16:49,560 Speaker 1: about four different groups chemo. Of our groups based on 342 00:16:49,640 --> 00:16:55,560 Speaker 1: tirupings that can uh identify or distinguish all the strains 343 00:16:55,600 --> 00:16:59,040 Speaker 1: that were being grown in Vegas at that time. So 344 00:16:59,200 --> 00:17:03,000 Speaker 1: are you the owner of CLIP Labs, I'm not. I'm 345 00:17:03,080 --> 00:17:08,200 Speaker 1: their chief science officer. And what is entailed in these labs, 346 00:17:08,200 --> 00:17:10,239 Speaker 1: like what kind of machinery. How does it like, what 347 00:17:10,320 --> 00:17:17,800 Speaker 1: is it? Yeah? It testing to get your CT and 348 00:17:17,800 --> 00:17:20,120 Speaker 1: you help them build this out. Yes, the second lab 349 00:17:20,160 --> 00:17:23,879 Speaker 1: because I actually need you right now, you know now 350 00:17:24,080 --> 00:17:26,920 Speaker 1: really yeah, I'm thinking about i'ming above building a lab 351 00:17:26,960 --> 00:17:32,359 Speaker 1: in Arizona. WHOA really? Yeah? Wow? Okay six million or 352 00:17:32,400 --> 00:17:35,639 Speaker 1: something like three? Um, well three, you could do it 353 00:17:35,720 --> 00:17:39,640 Speaker 1: for three. But it depends on what you're flow. What 354 00:17:39,760 --> 00:17:43,280 Speaker 1: you think your sample flow is right, because you need 355 00:17:43,320 --> 00:17:47,920 Speaker 1: to have duplicate instrumentation if you are going to have 356 00:17:48,160 --> 00:17:51,120 Speaker 1: say hundreds of samples today, like if you're a can 357 00:17:51,160 --> 00:17:53,760 Speaker 1: of safe here in l A. I mean you've got 358 00:17:53,880 --> 00:17:56,639 Speaker 1: to double up on instrumentation. Sure, he has to buy more. 359 00:17:56,800 --> 00:17:59,320 Speaker 1: Well that's a good problem. Now, yeah that that would 360 00:17:59,359 --> 00:18:01,280 Speaker 1: not be a problem. But what I I think that 361 00:18:01,600 --> 00:18:03,480 Speaker 1: the reason I asked three or six million dollars because 362 00:18:03,480 --> 00:18:08,240 Speaker 1: I was told that, you know, by some individuals are like, look, 363 00:18:08,280 --> 00:18:09,960 Speaker 1: it costs us about three million dollars. Right, we had 364 00:18:09,960 --> 00:18:11,720 Speaker 1: a three million dollar budget. We went in, we built 365 00:18:11,720 --> 00:18:16,440 Speaker 1: it out, but because of lack of education and all 366 00:18:16,480 --> 00:18:18,240 Speaker 1: the things that we needed to learn, we cost a 367 00:18:18,280 --> 00:18:21,639 Speaker 1: six million, you know, And I'm just like, yeah, you know, 368 00:18:21,680 --> 00:18:24,080 Speaker 1: you lost three million dollars on on you know, h 369 00:18:24,440 --> 00:18:27,840 Speaker 1: R and D. That's a tough one. It's a big 370 00:18:27,920 --> 00:18:31,240 Speaker 1: number right there. Like, No, it's usually not R and 371 00:18:31,320 --> 00:18:35,720 Speaker 1: D that it's the big money sync. It's usually mistakes 372 00:18:35,760 --> 00:18:39,080 Speaker 1: you make with hiring the wrong people, hiring the wrong 373 00:18:39,119 --> 00:18:43,919 Speaker 1: person running the show, yes, because then it's expensive to 374 00:18:44,000 --> 00:18:46,560 Speaker 1: get rid of them and bring somebody else in, and 375 00:18:46,600 --> 00:18:48,160 Speaker 1: then they want to do it at a different way. 376 00:18:48,240 --> 00:18:50,640 Speaker 1: You don't just put a hole in the desert. You're 377 00:18:50,640 --> 00:18:53,960 Speaker 1: in Vegas, right, so we get rid of most people 378 00:18:54,000 --> 00:18:56,920 Speaker 1: in Vegas are like, well they're you know, they're finding 379 00:18:57,000 --> 00:19:01,520 Speaker 1: remains and barrels, and I'm sure they Cindy, can you 380 00:19:01,600 --> 00:19:04,520 Speaker 1: brag a little bit to tell us what creates the 381 00:19:04,680 --> 00:19:08,359 Speaker 1: chief science officer for clip Labs? Like, and I know 382 00:19:08,440 --> 00:19:11,080 Speaker 1: it's not probably your foretelle, I did this that, but 383 00:19:11,160 --> 00:19:13,960 Speaker 1: like the chief science officer at this place? What are 384 00:19:13,960 --> 00:19:15,200 Speaker 1: some of the other And I didn't get a chance 385 00:19:15,240 --> 00:19:17,040 Speaker 1: to look at your LinkedIn like Ali didn't it. So 386 00:19:17,160 --> 00:19:19,119 Speaker 1: I apologize to not be able to get that, but 387 00:19:19,160 --> 00:19:21,400 Speaker 1: I would and I would love to do that for you, 388 00:19:21,720 --> 00:19:24,160 Speaker 1: but my computer is not working fast enough and I'm 389 00:19:24,160 --> 00:19:26,199 Speaker 1: trying to and I would love to hear more of 390 00:19:26,240 --> 00:19:29,080 Speaker 1: your history as well. All right, Um, I don't know 391 00:19:29,119 --> 00:19:34,879 Speaker 1: how far to go back. First job at the swimming pool. Now, So, 392 00:19:35,160 --> 00:19:38,399 Speaker 1: I mean, you know, being a scientist had just is 393 00:19:38,560 --> 00:19:41,560 Speaker 1: innate in me. I mean I knew when I was 394 00:19:41,600 --> 00:19:43,639 Speaker 1: a kid, I was going to be a scientist. Really, 395 00:19:43,840 --> 00:19:46,640 Speaker 1: I didn't know what it meant. Was there a TV 396 00:19:46,720 --> 00:19:48,560 Speaker 1: show that made you like it? Or what wasn't? No, 397 00:19:49,119 --> 00:19:52,480 Speaker 1: I mean I grew up on a ranch in Montana 398 00:19:53,240 --> 00:19:56,919 Speaker 1: and I went and got my PhD at Berkeley, So 399 00:19:57,000 --> 00:20:01,200 Speaker 1: that was a huge transition. Branch I see back then, 400 00:20:01,359 --> 00:20:06,640 Speaker 1: I'm thinking Berkeley. I'm from the base. I'm and I 401 00:20:06,720 --> 00:20:11,400 Speaker 1: just have an undying curiosity and I have a deep 402 00:20:11,440 --> 00:20:17,960 Speaker 1: appreciation for agriculture and all that brings to society as 403 00:20:17,960 --> 00:20:24,600 Speaker 1: a whole. And I was in a diagnostic So I 404 00:20:24,640 --> 00:20:29,440 Speaker 1: had a diagnostic company in Boulder where we were developing 405 00:20:29,640 --> 00:20:35,000 Speaker 1: rapid testing for homeland security. And a headhunter called me 406 00:20:35,080 --> 00:20:37,400 Speaker 1: and said, hey, would you like to build out a 407 00:20:37,440 --> 00:20:43,240 Speaker 1: testing lab in Las Vegas? And so I'm jumped way 408 00:20:43,280 --> 00:20:48,720 Speaker 1: ahead here, but I think it's just my in unending 409 00:20:49,480 --> 00:20:53,440 Speaker 1: interest in the cannabis plant for what it has to offer, 410 00:20:54,240 --> 00:20:58,359 Speaker 1: and just wanting to ensure that the product that makes 411 00:20:58,400 --> 00:21:03,080 Speaker 1: it into the dispensaries is safe. Right. It's about public 412 00:21:03,119 --> 00:21:05,120 Speaker 1: safe and we need people at these labs that are 413 00:21:05,119 --> 00:21:07,600 Speaker 1: doing it right. It's such a big factor. And now 414 00:21:07,800 --> 00:21:10,680 Speaker 1: that I believe, I believe, we believe that it needs 415 00:21:10,680 --> 00:21:13,920 Speaker 1: to be a universal thing for all fifty states. Should 416 00:21:13,920 --> 00:21:16,320 Speaker 1: be able to have all these same criterias for all 417 00:21:16,359 --> 00:21:20,200 Speaker 1: fifty Yes, so that would be wonderful if we could 418 00:21:20,280 --> 00:21:25,440 Speaker 1: have consistency from state to state. That absolutely does not exist. 419 00:21:25,640 --> 00:21:30,239 Speaker 1: And and it's it's kind of scary and ridiculous at 420 00:21:30,280 --> 00:21:34,760 Speaker 1: the same time that you would think adjacent state like 421 00:21:34,840 --> 00:21:40,080 Speaker 1: Arizona would just take the same concept California, Yeah, or 422 00:21:40,200 --> 00:21:45,080 Speaker 1: or if Nevada had adopted California or vice versa. But no, 423 00:21:45,320 --> 00:21:49,800 Speaker 1: we have this real patchwork and there are products that 424 00:21:49,840 --> 00:21:53,879 Speaker 1: are falling through the cracks. And that's really why I 425 00:21:53,960 --> 00:21:57,040 Speaker 1: wanted Pam here to join. Now help with the product part. 426 00:21:57,119 --> 00:22:01,240 Speaker 1: Pam Miles, the founder of Popthy Care. Yes, so so 427 00:22:02,320 --> 00:22:05,960 Speaker 1: I am No, we have not okay, so were you 428 00:22:06,000 --> 00:22:09,560 Speaker 1: with Brett. No, this is my first entree into the 429 00:22:09,680 --> 00:22:15,439 Speaker 1: cannabis world. Fantastic welcome, Thank you so so Pam contacted 430 00:22:15,480 --> 00:22:21,959 Speaker 1: me because she was interested in testing feminine intimate care products. 431 00:22:22,119 --> 00:22:25,600 Speaker 1: I don't know if you boys know, but there's not tampons, 432 00:22:26,040 --> 00:22:29,240 Speaker 1: although there are CBD tampons, which is not but there's 433 00:22:29,480 --> 00:22:35,119 Speaker 1: salves and lubes and yes, so there's a lot of 434 00:22:35,160 --> 00:22:39,920 Speaker 1: those products out there. Nobody was testing them other than 435 00:22:40,040 --> 00:22:44,800 Speaker 1: for cannabinoids. So um, she came to me. I developed 436 00:22:44,840 --> 00:22:49,080 Speaker 1: an essay that would look at the impact of these 437 00:22:49,119 --> 00:22:54,600 Speaker 1: products on the known healthy bacteria and the vaginal microbiome. 438 00:22:58,760 --> 00:23:01,080 Speaker 1: That was so important. Do you imagine if you didn't 439 00:23:01,119 --> 00:23:05,960 Speaker 1: and something went wrong on its great. So so we're 440 00:23:06,000 --> 00:23:10,080 Speaker 1: like pioneering an entire new area of testing, and I'm 441 00:23:10,160 --> 00:23:14,720 Speaker 1: very excited about it because there are other microbiomes in 442 00:23:14,720 --> 00:23:18,639 Speaker 1: the human body and that could be affected by the 443 00:23:18,720 --> 00:23:23,440 Speaker 1: particular route you use for your cannabis. Like if you're smoking. 444 00:23:23,640 --> 00:23:28,040 Speaker 1: We know people who smoked tobacco their oral microflora changes. 445 00:23:28,400 --> 00:23:31,800 Speaker 1: I'd be super curious to know what happens if you're 446 00:23:31,960 --> 00:23:37,399 Speaker 1: regular vapor or uh smoker of cannabis. It's gonna be 447 00:23:37,440 --> 00:23:39,440 Speaker 1: interesting to see when that happens. But but what got 448 00:23:39,480 --> 00:23:42,200 Speaker 1: you Pam to call Cindy? How did this whole relationship come, 449 00:23:42,280 --> 00:23:44,959 Speaker 1: what made you decide to do that? Well? Um, I 450 00:23:45,000 --> 00:23:47,960 Speaker 1: was working with another scientist in Massachusetts who left to 451 00:23:48,000 --> 00:23:52,000 Speaker 1: go to bio pharma and she had written some papers 452 00:23:52,040 --> 00:23:56,920 Speaker 1: with Cindy about the whole testing process, and I thought, well, 453 00:23:57,359 --> 00:24:00,159 Speaker 1: it was the next best person, Cindy. Yeah, and he 454 00:24:00,200 --> 00:24:01,960 Speaker 1: just reached out and said, hey, I want to and 455 00:24:02,320 --> 00:24:04,800 Speaker 1: what are you guys doing together now? Well, the women products, 456 00:24:04,800 --> 00:24:07,240 Speaker 1: and so that's what we started with. So we're looking 457 00:24:07,280 --> 00:24:09,880 Speaker 1: at I can tell you that I started a Massachusetts 458 00:24:09,880 --> 00:24:12,560 Speaker 1: where is perfectly legal. I started growing in my backyard 459 00:24:12,640 --> 00:24:16,240 Speaker 1: in two thousand and sixteen, and I was making products 460 00:24:16,240 --> 00:24:19,760 Speaker 1: for my daughters and their friends. And I went because 461 00:24:19,760 --> 00:24:22,359 Speaker 1: I'm a researcher by nature, but in the education field, 462 00:24:22,359 --> 00:24:24,879 Speaker 1: and I looked to see if anything was written that 463 00:24:24,920 --> 00:24:27,480 Speaker 1: was telling me if these were safe, and there was nothing. 464 00:24:27,560 --> 00:24:30,440 Speaker 1: So I was like, WHOA, I can't give these two 465 00:24:30,560 --> 00:24:34,000 Speaker 1: people for you know, cramps if they could cause them 466 00:24:34,040 --> 00:24:38,359 Speaker 1: to have reproductive problems later in life. Right. So that's 467 00:24:38,359 --> 00:24:40,760 Speaker 1: how we started to do the research is we wanted 468 00:24:40,800 --> 00:24:43,800 Speaker 1: to see but there's nothing out there. So we started 469 00:24:43,920 --> 00:24:46,879 Speaker 1: in the lab first, and that's why I went to Cyndy. 470 00:24:47,600 --> 00:24:51,119 Speaker 1: And how long does this research take um It takes 471 00:24:51,160 --> 00:24:54,240 Speaker 1: about a week to screen a product, and you know, 472 00:24:54,359 --> 00:24:58,720 Speaker 1: we're getting a pretty healthy response. And we've actually branched 473 00:24:58,720 --> 00:25:02,520 Speaker 1: out to products that don't have cannabis and UM, and 474 00:25:02,720 --> 00:25:06,920 Speaker 1: I really want to make it clear that, uh, we 475 00:25:07,000 --> 00:25:10,640 Speaker 1: have not determined that any of the cannabinoids in these 476 00:25:10,680 --> 00:25:15,960 Speaker 1: products are harmful to the healthy flora and the vagina. 477 00:25:16,160 --> 00:25:19,600 Speaker 1: So that's really good news for the cannabis market. Are 478 00:25:19,640 --> 00:25:22,520 Speaker 1: you getting more products to test them? Yes, So we've 479 00:25:22,560 --> 00:25:24,320 Speaker 1: been doing a lot of it on our own because 480 00:25:24,720 --> 00:25:26,720 Speaker 1: you know, we want to make sure that there's integrity 481 00:25:26,720 --> 00:25:28,920 Speaker 1: with the testing. So they will take the tat will 482 00:25:28,960 --> 00:25:31,199 Speaker 1: go buy a product. Bought them today here in California, 483 00:25:31,480 --> 00:25:34,040 Speaker 1: and Cindy will test those in her lab to see 484 00:25:34,040 --> 00:25:36,560 Speaker 1: how they affect the vaginal microbiome. Are you guys gonna 485 00:25:36,560 --> 00:25:38,560 Speaker 1: put those results out for people to see, do? Yeah, 486 00:25:38,600 --> 00:25:41,200 Speaker 1: we have them on our website right now at Apathecare's website. 487 00:25:41,240 --> 00:25:43,600 Speaker 1: You can see the products that we've tested already that 488 00:25:44,000 --> 00:25:47,040 Speaker 1: your website. It's a called apathecare dot com. And one 489 00:25:47,080 --> 00:25:49,359 Speaker 1: of the things I will reiterate with Cindy said is 490 00:25:49,359 --> 00:25:52,080 Speaker 1: we tested CBD and th HC isolate and some full 491 00:25:52,119 --> 00:25:54,560 Speaker 1: spectrum products and they were fine. Now there's a few 492 00:25:54,560 --> 00:25:58,439 Speaker 1: others that do contain cannabis that Warren is fine, but 493 00:25:58,480 --> 00:26:01,360 Speaker 1: we're not really sure why. So we're starting to isolate 494 00:26:01,400 --> 00:26:03,879 Speaker 1: the ingredients that are in the products to see if 495 00:26:03,880 --> 00:26:06,280 Speaker 1: we can determine and work with the manufacturers to make 496 00:26:06,320 --> 00:26:09,520 Speaker 1: sure that their products are safe. Wow, you gotta hold 497 00:26:09,520 --> 00:26:13,200 Speaker 1: them accountable. You know somebody but just want to use it. 498 00:26:13,320 --> 00:26:16,280 Speaker 1: Make sure try And here's validating like, no, this is 499 00:26:16,359 --> 00:26:19,080 Speaker 1: Legit is doing every testing than any because it's going 500 00:26:19,160 --> 00:26:22,919 Speaker 1: in your body exactly. Every when you buy Catchup, it's tested. 501 00:26:22,920 --> 00:26:27,920 Speaker 1: When you buy anything else, it's tested. I'm saying right absolutely, 502 00:26:28,359 --> 00:26:30,560 Speaker 1: Why shouldn't that be tested. If I'm gonna use this 503 00:26:30,640 --> 00:26:32,399 Speaker 1: and put it in my body and I'm gonna use this, 504 00:26:32,520 --> 00:26:36,480 Speaker 1: why can't that be yes? Because you know they leave 505 00:26:36,560 --> 00:26:40,800 Speaker 1: themselves open for class action lawsuits. Yeah, I love it. 506 00:26:40,840 --> 00:26:43,160 Speaker 1: You guys are doing such amazing work. Appreciate you guys 507 00:26:43,160 --> 00:26:45,480 Speaker 1: being here. Anything we can do for you guys, anything 508 00:26:45,480 --> 00:26:46,840 Speaker 1: else you want to get a message out there and 509 00:26:46,920 --> 00:26:51,480 Speaker 1: let the people know about a body Care or Labs 510 00:26:51,600 --> 00:26:55,600 Speaker 1: is launching the FDO facts, which will visually display the 511 00:26:55,760 --> 00:26:58,320 Speaker 1: power of chemometrics. I think it's going to be very 512 00:26:58,359 --> 00:27:01,800 Speaker 1: powerful because you don't know a lot about the chemical 513 00:27:01,880 --> 00:27:05,320 Speaker 1: profile of cannabis. This is just a visual that will 514 00:27:05,400 --> 00:27:07,959 Speaker 1: let you know how that product is going to affect 515 00:27:08,040 --> 00:27:13,800 Speaker 1: your body. Appreciate, really, really nice to be on folks. 516 00:27:13,800 --> 00:27:15,800 Speaker 1: If you don't know about cama, this is where we're at. 517 00:27:15,800 --> 00:27:17,640 Speaker 1: We'll be right back after this. You got it, We'll 518 00:27:17,680 --> 00:27:32,160 Speaker 1: be right back with Cannabis Talk one oh one. Welcome 519 00:27:32,200 --> 00:27:35,600 Speaker 1: back to Cannabis Talk one oh one Advanced Nutrients, folks. 520 00:27:35,600 --> 00:27:38,920 Speaker 1: It's the first and only complete growing system for cannabis 521 00:27:38,920 --> 00:27:41,960 Speaker 1: that optimizes all phases of the vegetative and bloom cycles 522 00:27:42,200 --> 00:27:44,919 Speaker 1: to bring you across their true genetic potential. To discover 523 00:27:45,040 --> 00:27:48,120 Speaker 1: more at advanced nutrients dot com. We've got so many 524 00:27:48,160 --> 00:27:50,800 Speaker 1: amazing people walking by blue and talking with us. We 525 00:27:50,920 --> 00:27:54,360 Speaker 1: just said two great guests earlier and now we've done 526 00:27:54,680 --> 00:28:00,800 Speaker 1: wrangled up Jeff Jeff Tierra Massou. How's your last name? 527 00:28:01,000 --> 00:28:03,160 Speaker 1: Your your last name is just so tasty, by the way, 528 00:28:03,400 --> 00:28:07,600 Speaker 1: what is your last name? Jeffer Toosia. You're gonna have 529 00:28:09,160 --> 00:28:11,760 Speaker 1: a little Italian from Italian family in Italy or what's 530 00:28:11,800 --> 00:28:16,600 Speaker 1: this little East in the North Ukraze. Say that again 531 00:28:16,640 --> 00:28:20,600 Speaker 1: Toros Todosia to get a lot closer to that. Yeah, 532 00:28:21,680 --> 00:28:25,119 Speaker 1: where are you from? So right here Ridondo beach? No 533 00:28:26,280 --> 00:28:28,119 Speaker 1: born to raise it, born and raised. I'm one of 534 00:28:28,119 --> 00:28:31,800 Speaker 1: the few, are you scientists? Look? What do you guys here? 535 00:28:32,240 --> 00:28:34,480 Speaker 1: Why cannabis? Are you? Are you smoke cannabis as well? 536 00:28:34,720 --> 00:28:38,240 Speaker 1: You don't? We all? Well, not every not every scientist 537 00:28:38,320 --> 00:28:40,080 Speaker 1: that we've had on here today is not. So that's 538 00:28:40,080 --> 00:28:42,680 Speaker 1: why I'm asking. But how about this. I did judge 539 00:28:42,680 --> 00:28:44,400 Speaker 1: you in the best way possible because you are a 540 00:28:44,400 --> 00:28:46,720 Speaker 1: so cowboy, so I'm thinking, going, he's got to be 541 00:28:46,760 --> 00:28:48,880 Speaker 1: a surfer. And of course you grow smoking weed. I 542 00:28:48,920 --> 00:28:50,920 Speaker 1: did pre judge that, and that's why I asked, did 543 00:28:50,960 --> 00:28:53,280 Speaker 1: you smoke weed? First? Were most scientists? I don't even 544 00:28:53,280 --> 00:28:55,040 Speaker 1: ask him off the top? No, I didn't ask any 545 00:28:55,040 --> 00:28:57,280 Speaker 1: scientists this off top until later. But because you said 546 00:28:57,280 --> 00:28:59,960 Speaker 1: in southern California, I rolled the dice and assume you did, 547 00:29:00,040 --> 00:29:04,000 Speaker 1: which then gave me the it's a safe assumption. Yeah, 548 00:29:04,240 --> 00:29:06,360 Speaker 1: because of that, Because you said the beach you owned 549 00:29:06,360 --> 00:29:09,680 Speaker 1: a surfboard, right, see that that's the great assumption. You 550 00:29:09,720 --> 00:29:11,880 Speaker 1: go up there, you have there your scientists. You have 551 00:29:11,920 --> 00:29:16,200 Speaker 1: a company that's a big mouthful. Yes, what is the name? So? 552 00:29:16,280 --> 00:29:20,280 Speaker 1: The company has advan Intershim Scientific. Why would you make 553 00:29:20,320 --> 00:29:22,360 Speaker 1: the name so damn hard just for all the sizes 554 00:29:22,360 --> 00:29:27,200 Speaker 1: of scientists? Not by choice? Did you just took some letters? 555 00:29:27,560 --> 00:29:30,480 Speaker 1: So let me give you some history. Um, so I 556 00:29:30,920 --> 00:29:35,720 Speaker 1: founded Intershim North America back in two thousand eight. And 557 00:29:35,800 --> 00:29:40,280 Speaker 1: what is that intershim? So Intershim is a French company 558 00:29:40,440 --> 00:29:43,160 Speaker 1: based in central France. Um, that's where we do all 559 00:29:43,160 --> 00:29:46,920 Speaker 1: the manufacturing of the instrumentation. And they were looking for 560 00:29:47,160 --> 00:29:50,040 Speaker 1: a way to get into the United States. So I 561 00:29:50,240 --> 00:29:53,520 Speaker 1: started up their US operation in two thousand eight. And 562 00:29:53,560 --> 00:29:56,720 Speaker 1: what did they build? So we build equipment that's used 563 00:29:56,760 --> 00:30:02,120 Speaker 1: for purification. Two. For anything, anything that you can get 564 00:30:02,360 --> 00:30:05,760 Speaker 1: into a liquid form, we can purify it. Yes, so 565 00:30:05,920 --> 00:30:09,360 Speaker 1: you can you mean clean it, clean anything. So the 566 00:30:09,560 --> 00:30:13,640 Speaker 1: t C the primary the primary market is pharmaceutical R 567 00:30:13,680 --> 00:30:17,440 Speaker 1: and D, so big pharma. They try to create new 568 00:30:17,520 --> 00:30:20,080 Speaker 1: drugs every year and in order for them to do that, 569 00:30:20,360 --> 00:30:23,400 Speaker 1: they build molecules. They'll start out with a molecule that 570 00:30:23,440 --> 00:30:26,680 Speaker 1: looks like this, and then they'll add this group, they'll 571 00:30:27,000 --> 00:30:29,560 Speaker 1: cleave that off, they'll add this and they gradually build 572 00:30:29,640 --> 00:30:33,960 Speaker 1: a molecule over and that takes weeks if not months 573 00:30:34,000 --> 00:30:37,239 Speaker 1: to do that, and each step of that process they 574 00:30:37,320 --> 00:30:41,360 Speaker 1: need to get into about purity before they take it 575 00:30:41,440 --> 00:30:45,640 Speaker 1: to the next stage. So and so, and when they're 576 00:30:45,640 --> 00:30:47,280 Speaker 1: doing that, they're doing that. So they could patent it 577 00:30:47,360 --> 00:30:50,080 Speaker 1: correct I mean, and then create like a purpose for 578 00:30:50,160 --> 00:30:52,520 Speaker 1: it if you will. So maybe it's like you know, 579 00:30:52,640 --> 00:30:55,720 Speaker 1: one part C C B ns T A C and 580 00:30:55,840 --> 00:30:59,120 Speaker 1: then maybe add some you know, T c V and 581 00:30:59,280 --> 00:31:01,840 Speaker 1: you put together of this molecule. Then you you would 582 00:31:02,120 --> 00:31:05,920 Speaker 1: clean it, refine it. Your machines would. Yeah, However, you're 583 00:31:05,960 --> 00:31:09,440 Speaker 1: giving big farmer way too much credit right now. Canna cannabis, 584 00:31:09,960 --> 00:31:14,480 Speaker 1: they don't do that there. Does anybody do that? Because whatever? 585 00:31:14,880 --> 00:31:17,680 Speaker 1: So that actually that's a whole other segment of the 586 00:31:17,760 --> 00:31:20,320 Speaker 1: market where cannabis is pivoted in the last few years, 587 00:31:20,440 --> 00:31:25,240 Speaker 1: where you're actually making cannabis cannabinoids from a synthetic process. 588 00:31:25,600 --> 00:31:28,680 Speaker 1: There was a speaker earlier today from the metrics who 589 00:31:28,720 --> 00:31:31,000 Speaker 1: also happens to be one of our clients. Um they're 590 00:31:31,080 --> 00:31:34,560 Speaker 1: up in northern California. They're an offshoot from a um 591 00:31:34,720 --> 00:31:37,960 Speaker 1: UC Berkeley. One of the professors there did a startup 592 00:31:38,120 --> 00:31:44,080 Speaker 1: and they're actually synthesizing cannabinoids UM using yeast. So that's 593 00:31:44,120 --> 00:31:49,800 Speaker 1: a fermentation process which is um used in pharmaceutical manufacturing. 594 00:31:49,880 --> 00:31:53,360 Speaker 1: It has been used for years. Very inexpensive. Yeast is cheap. 595 00:31:53,440 --> 00:31:55,920 Speaker 1: You just feed it sugar and it makes what you 596 00:31:55,960 --> 00:31:58,320 Speaker 1: wanted to make. And how did you get involved with 597 00:31:58,440 --> 00:32:00,440 Speaker 1: this couple? Did the headhunt you? I mean, how did 598 00:32:00,480 --> 00:32:02,479 Speaker 1: you find a company in France to bring this out here? 599 00:32:02,520 --> 00:32:06,640 Speaker 1: Now you're here in Pasadena, Okay? So I am I've 600 00:32:06,680 --> 00:32:11,120 Speaker 1: been in the industry for thirty years. Does that mean 601 00:32:11,160 --> 00:32:13,280 Speaker 1: you're a grower or just a mule? What does that mean? 602 00:32:13,480 --> 00:32:16,280 Speaker 1: So that means I'm I'm a sales and marketing guy. 603 00:32:17,960 --> 00:32:21,240 Speaker 1: So I UM. So, Like I said, I've been in 604 00:32:21,280 --> 00:32:24,000 Speaker 1: the industry for about thirty years. UM, this is my 605 00:32:24,280 --> 00:32:28,920 Speaker 1: I've had several businesses. I had one from nine one 606 00:32:29,000 --> 00:32:33,440 Speaker 1: to two thousand one, UM and during that period I 607 00:32:33,600 --> 00:32:38,840 Speaker 1: needed distribution in Europe. So one of my distributors was Intershing. 608 00:32:39,680 --> 00:32:43,880 Speaker 1: That's how I got to know the company, family owned business. UM. 609 00:32:44,040 --> 00:32:47,640 Speaker 1: All their growth organic, with the exception of one acquisition. 610 00:32:47,840 --> 00:32:50,920 Speaker 1: So UM. We we talked over the years about setting 611 00:32:51,000 --> 00:32:52,840 Speaker 1: up a US operation, and I said, you know, when 612 00:32:52,880 --> 00:32:55,640 Speaker 1: the time's right, we'll know it. And it turned out 613 00:32:55,680 --> 00:32:58,200 Speaker 1: it was be We thought the time was right in 614 00:32:58,280 --> 00:33:01,920 Speaker 1: the spring of two thousand eight, so that's when we incorporated. 615 00:33:02,280 --> 00:33:05,000 Speaker 1: And then we introduced the first instrument in the fall 616 00:33:05,080 --> 00:33:08,800 Speaker 1: of two thousand eight UM, which preceded the Great Recession 617 00:33:08,880 --> 00:33:14,040 Speaker 1: by about three months. So perfect, perfect timing to introduce 618 00:33:14,080 --> 00:33:17,080 Speaker 1: capital equipment into the pharmaceutic that only costs a couple 619 00:33:17,320 --> 00:33:23,880 Speaker 1: hundreds of thousand. Well no, thankfully, no, these are in 620 00:33:23,960 --> 00:33:28,920 Speaker 1: the tens of thousands. Yeah, very powerful bench top Really 621 00:33:29,200 --> 00:33:32,080 Speaker 1: I don't know why I'm thinking industrial size, but they 622 00:33:32,160 --> 00:33:36,200 Speaker 1: can do industrial scale. So we have a bench top 623 00:33:36,280 --> 00:33:41,560 Speaker 1: instrument UM which can deliver We base our throughput on 624 00:33:41,640 --> 00:33:45,160 Speaker 1: flow rates. Okay, so the biggest instrument instrument we have 625 00:33:45,800 --> 00:33:48,640 Speaker 1: delivers just under a liter a minute UM. That's not 626 00:33:48,760 --> 00:33:51,320 Speaker 1: processing time, that's just how much solvent it can push 627 00:33:51,440 --> 00:33:55,160 Speaker 1: per minute UM. And then we it does look industrial 628 00:33:55,320 --> 00:33:59,360 Speaker 1: because the separation device, the column is we call it 629 00:34:00,080 --> 00:34:03,160 Speaker 1: UM that is about eight and a half feet tall, 630 00:34:03,560 --> 00:34:06,760 Speaker 1: So that looks industrial. And are these only for big 631 00:34:06,840 --> 00:34:09,399 Speaker 1: companies or do you recommend Jeck that people can call 632 00:34:09,440 --> 00:34:11,160 Speaker 1: you reach out to you at your company, an even 633 00:34:11,200 --> 00:34:13,120 Speaker 1: if they wanted to do a backyard is only I 634 00:34:13,200 --> 00:34:15,160 Speaker 1: think we got into the to the what I mean, 635 00:34:16,239 --> 00:34:17,920 Speaker 1: is this the merger already? Are we still on the 636 00:34:18,000 --> 00:34:20,000 Speaker 1: first part of the company. That's the first part of 637 00:34:20,040 --> 00:34:25,040 Speaker 1: the company. Yeah, let him get into the show. So 638 00:34:25,239 --> 00:34:28,000 Speaker 1: then yeah, So that was in two thousand and eight. 639 00:34:28,080 --> 00:34:31,480 Speaker 1: We started. We actually got pretty good traction in the industry, 640 00:34:31,520 --> 00:34:33,480 Speaker 1: Big Farm and like what we were putting out, so 641 00:34:33,960 --> 00:34:36,680 Speaker 1: we doubled down, We did some more investment, and then 642 00:34:37,360 --> 00:34:42,400 Speaker 1: we added UM. The the rollout was with UV ultra 643 00:34:42,480 --> 00:34:46,600 Speaker 1: violet detection, which is pretty standard for the technique which 644 00:34:46,680 --> 00:34:50,600 Speaker 1: is liquid chromatography. So it's a pretty inexpensive detector, but 645 00:34:50,840 --> 00:34:53,560 Speaker 1: it'll only tell you if something's there, it won't tell 646 00:34:53,600 --> 00:34:57,960 Speaker 1: you what it is. UM by adding another detector, which 647 00:34:58,080 --> 00:35:01,960 Speaker 1: is mass spectrometry. UM a mass spectrometer will tell you 648 00:35:02,719 --> 00:35:06,200 Speaker 1: the mass of the molecule that it's passing through the detector. 649 00:35:06,760 --> 00:35:11,840 Speaker 1: So that's very information rich. So we know that you know, CBD, 650 00:35:11,960 --> 00:35:15,000 Speaker 1: for example, has a mass of three thirteen, so if 651 00:35:15,040 --> 00:35:17,359 Speaker 1: I see that going through the detector, I know it's 652 00:35:19,800 --> 00:35:23,759 Speaker 1: So that mass detection we incorporated in I think two 653 00:35:23,840 --> 00:35:28,000 Speaker 1: thousand thirteen, and the company or the manufacturer that we 654 00:35:28,160 --> 00:35:31,520 Speaker 1: use for that mass spec was Advan. Did you then 655 00:35:31,640 --> 00:35:33,920 Speaker 1: would you then clean? Would you then clean that if 656 00:35:33,960 --> 00:35:36,080 Speaker 1: you if you wanted to, you could. You could identify it, 657 00:35:36,200 --> 00:35:39,600 Speaker 1: pick it out and then clean just that section. That's yes. 658 00:35:39,719 --> 00:35:43,600 Speaker 1: So the way the way that chromatography works, it's the 659 00:35:44,120 --> 00:35:47,239 Speaker 1: it's the science of separation. So you can take a 660 00:35:47,400 --> 00:35:51,520 Speaker 1: mixture of stuff. Okay, let's talk about a distill. It 661 00:35:52,080 --> 00:35:57,440 Speaker 1: a distill it has you know, CBD, it's got th hc, CBG, CBN, etcetera. 662 00:35:58,200 --> 00:36:02,359 Speaker 1: And what you can do is you can purify each 663 00:36:02,520 --> 00:36:05,480 Speaker 1: one of those molecular constituents. So if I want to 664 00:36:05,520 --> 00:36:11,960 Speaker 1: isolate CBG, CBN, cbc, any of any molecule you want, 665 00:36:12,160 --> 00:36:15,319 Speaker 1: you can separate it using liquid chromatography. It's a very 666 00:36:15,400 --> 00:36:19,720 Speaker 1: powerful technique. It's also a very expensive technique, very expecting. 667 00:36:19,880 --> 00:36:22,600 Speaker 1: What do you mean, Well, the reason it's expensive is 668 00:36:24,239 --> 00:36:27,520 Speaker 1: number one, it's a very solid intensive process you're using. 669 00:36:27,880 --> 00:36:32,920 Speaker 1: In order to introduce that distalate into the machine. Um, 670 00:36:33,239 --> 00:36:35,640 Speaker 1: you need to dilute it with solvent, Okay, usually a 671 00:36:35,800 --> 00:36:38,760 Speaker 1: two to one dilution with solvent, and then you're using 672 00:36:39,000 --> 00:36:42,280 Speaker 1: after you get it into the machine and onto the column. 673 00:36:42,600 --> 00:36:46,160 Speaker 1: The column is that the actual separation device um That 674 00:36:46,400 --> 00:36:51,239 Speaker 1: mixture of molecules will travel through the column at different rates. 675 00:36:51,840 --> 00:36:56,279 Speaker 1: So for example, in in one mode of chromatography, um 676 00:36:56,719 --> 00:37:01,759 Speaker 1: cb d travels travels through relatively fast, whereas th HC 677 00:37:02,320 --> 00:37:05,840 Speaker 1: is retained longer. So now these are separated by time 678 00:37:06,200 --> 00:37:08,080 Speaker 1: when they come out of the column, go into the 679 00:37:08,160 --> 00:37:12,319 Speaker 1: detector and are detected. So we can using liquid chromatography, 680 00:37:12,400 --> 00:37:16,080 Speaker 1: we can basically separate and purify anything clean it. You 681 00:37:16,160 --> 00:37:18,800 Speaker 1: basically clean it and and and that would save I 682 00:37:18,840 --> 00:37:21,640 Speaker 1: mean a lot of people money because because sometimes people 683 00:37:22,000 --> 00:37:25,160 Speaker 1: when they when when they're done extracting their product, it 684 00:37:25,239 --> 00:37:27,480 Speaker 1: still has some kind of toxins that won't allow them 685 00:37:27,520 --> 00:37:29,759 Speaker 1: to pass testing. And so you're saying that you guys 686 00:37:29,840 --> 00:37:32,160 Speaker 1: can clean it at that point with your machine. Yeah, 687 00:37:32,200 --> 00:37:35,080 Speaker 1: And so speaking of toxins, one of the the second 688 00:37:35,160 --> 00:37:39,000 Speaker 1: largest application that we have is to remove pesticides. So 689 00:37:39,120 --> 00:37:42,440 Speaker 1: if you've got an extract it's full of microbutantyl, and 690 00:37:43,239 --> 00:37:44,800 Speaker 1: clean it up like that. So let me hear this. 691 00:37:44,880 --> 00:37:48,120 Speaker 1: And then if I had a bad batge, right, and 692 00:37:48,200 --> 00:37:49,440 Speaker 1: I could take it to you and you guys can 693 00:37:49,480 --> 00:37:51,400 Speaker 1: clean it up. So to speak and or the machine 694 00:37:51,400 --> 00:37:54,640 Speaker 1: could the machine. So we're gonna we'll we'll deliver you 695 00:37:54,760 --> 00:37:59,440 Speaker 1: the instrument, we deliver a sp saving grows now basically, 696 00:37:59,640 --> 00:38:02,480 Speaker 1: well you can yeah, yeah, Well a lot of people 697 00:38:02,960 --> 00:38:05,560 Speaker 1: would would just probably use your process from the start though, 698 00:38:05,880 --> 00:38:08,400 Speaker 1: would be the ideal situation, right, instead of trying to 699 00:38:08,960 --> 00:38:12,680 Speaker 1: rEFInd it after they've already sent it through whatever. Right, 700 00:38:12,840 --> 00:38:16,200 Speaker 1: So if you're you know, ideally when you submit your 701 00:38:16,280 --> 00:38:20,040 Speaker 1: product for a third party testing, if you what we 702 00:38:20,200 --> 00:38:23,000 Speaker 1: recommend is to do in house testing before you submit. 703 00:38:23,200 --> 00:38:26,000 Speaker 1: That way, when you know you submit, it's going to 704 00:38:26,120 --> 00:38:28,520 Speaker 1: be clean, right, Yeah, that way they don't take you 705 00:38:28,560 --> 00:38:30,920 Speaker 1: to destroy it exactly, because that's what they would do. 706 00:38:31,800 --> 00:38:33,560 Speaker 1: That makes it better. So you're already going in with 707 00:38:33,640 --> 00:38:35,719 Speaker 1: the machine that makes it. You go in with going 708 00:38:35,800 --> 00:38:39,040 Speaker 1: with you're going with confidence. You know what you're submitting, 709 00:38:39,080 --> 00:38:41,640 Speaker 1: you know what's going to pass. And if they come 710 00:38:41,719 --> 00:38:44,640 Speaker 1: back and say you failed. For Michael Buine, you can 711 00:38:44,640 --> 00:38:46,279 Speaker 1: call him out on it, say no, I think you 712 00:38:46,400 --> 00:38:49,399 Speaker 1: need to recalibrate your instrumentation because we know it's clean. 713 00:38:50,280 --> 00:38:52,440 Speaker 1: Here's my test. Yeah, you can pull out yours and 714 00:38:52,880 --> 00:38:55,000 Speaker 1: what machine did. Yeah, like you can go in there 715 00:38:55,080 --> 00:38:58,080 Speaker 1: before and I said, here's my test differ, right, and 716 00:38:58,200 --> 00:39:02,120 Speaker 1: it's and it's also you know, throughout the whole manufacturing 717 00:39:02,200 --> 00:39:07,480 Speaker 1: process from you know, extraction to decarboxylation, to distillation to 718 00:39:07,880 --> 00:39:11,719 Speaker 1: well winterization before all that, you should really be monitoring 719 00:39:12,400 --> 00:39:14,880 Speaker 1: each stage in the process to know that you're getting 720 00:39:15,320 --> 00:39:18,839 Speaker 1: good yields. You know, are you losing THHC are your 721 00:39:19,000 --> 00:39:21,880 Speaker 1: CBD levels going up or down? You know, So having that, 722 00:39:22,760 --> 00:39:26,759 Speaker 1: having being able to uh analyze your process and to 723 00:39:26,960 --> 00:39:30,880 Speaker 1: know what the starting material is going in and after 724 00:39:31,040 --> 00:39:34,640 Speaker 1: each step, it's really important information. It's it's really how 725 00:39:34,719 --> 00:39:37,680 Speaker 1: it's done in pharmaceutical manufacturing. So we're just applying that 726 00:39:37,800 --> 00:39:42,200 Speaker 1: same methodology to cannabis. Now, So one of these you know, 727 00:39:43,239 --> 00:39:46,800 Speaker 1: uh instruments that you guys are you guys sell apparently, 728 00:39:47,160 --> 00:39:50,279 Speaker 1: so you would sell that to your the extraction lab 729 00:39:50,760 --> 00:39:52,920 Speaker 1: or you know, and and then would that be in 730 00:39:53,120 --> 00:39:56,080 Speaker 1: in in um conjunction with all the other equipment they 731 00:39:56,120 --> 00:39:58,080 Speaker 1: had to do the winn rizing to do this or 732 00:39:58,160 --> 00:40:00,160 Speaker 1: that or that. This just wipes all those out, just 733 00:40:00,239 --> 00:40:03,920 Speaker 1: goes through your machine. It's one of the last steps 734 00:40:03,960 --> 00:40:11,520 Speaker 1: in the process. Okay, So chromatography chromography, so basically after 735 00:40:11,719 --> 00:40:16,480 Speaker 1: you go through usually post distillation. Okay, if you're doing 736 00:40:16,520 --> 00:40:21,279 Speaker 1: distillation or some other refinement process post extraction, Um, you 737 00:40:21,400 --> 00:40:23,720 Speaker 1: want to clean up that oil so that it meets 738 00:40:23,800 --> 00:40:29,080 Speaker 1: your standards of formulation, and purification is an essential part 739 00:40:29,120 --> 00:40:32,520 Speaker 1: of that. So one example is th HC remediation for 740 00:40:32,840 --> 00:40:36,160 Speaker 1: the CBD market. So they can't have any product out there, 741 00:40:36,400 --> 00:40:39,719 Speaker 1: you know, greater than zero point three percent THC. So 742 00:40:39,960 --> 00:40:42,320 Speaker 1: one of the applications that we support and that we 743 00:40:42,440 --> 00:40:47,200 Speaker 1: train is the ability to take a distillate UH after 744 00:40:47,520 --> 00:40:50,680 Speaker 1: going through the hemp process that's typically going to have 745 00:40:51,360 --> 00:40:56,480 Speaker 1: about cb D and three th HC, So you're ten 746 00:40:56,600 --> 00:40:58,879 Speaker 1: times the legal limit of th HC at this point. 747 00:40:59,600 --> 00:41:01,279 Speaker 1: So now you got to get down to below zero 748 00:41:01,360 --> 00:41:05,160 Speaker 1: point three And that's what our process can deliver. What 749 00:41:05,360 --> 00:41:07,960 Speaker 1: people find you guys at just it's just a website, 750 00:41:07,960 --> 00:41:10,000 Speaker 1: a phone number, Jeff, What is it a website? Yes? 751 00:41:10,120 --> 00:41:11,800 Speaker 1: And the is it the big name of the website 752 00:41:11,840 --> 00:41:14,000 Speaker 1: to pak please come, there's a letter website for that 753 00:41:14,600 --> 00:41:16,520 Speaker 1: or now you're gonna have to spell it out. It's 754 00:41:16,960 --> 00:41:20,359 Speaker 1: it's okay. The easiest one to go to is intershim Inc. 755 00:41:20,640 --> 00:41:24,520 Speaker 1: So it's the company intershim. I n C Incorporated, Intershim Inc. 756 00:41:24,600 --> 00:41:28,080 Speaker 1: Dot Com sell for us. But I n T E 757 00:41:28,440 --> 00:41:32,560 Speaker 1: r C H I M is in Mary I n 758 00:41:32,680 --> 00:41:36,400 Speaker 1: C dot com kind of you still, I was like 759 00:41:36,480 --> 00:41:37,800 Speaker 1: I was spelling it, and I was thinking, there's a 760 00:41:37,840 --> 00:41:39,879 Speaker 1: silent letter in there after the aisle? Is there another 761 00:41:39,880 --> 00:41:44,120 Speaker 1: one name? Thankfully no, it's a silent G. I don't 762 00:41:44,160 --> 00:41:46,560 Speaker 1: want I don't want to confuse the listener. Make up 763 00:41:46,560 --> 00:41:49,359 Speaker 1: an they'll be really good for him. But where where 764 00:41:49,480 --> 00:41:51,360 Speaker 1: is the headquarters? It's in France for this one to 765 00:41:51,480 --> 00:41:55,840 Speaker 1: Jeff or So, France is where we make all of 766 00:41:55,880 --> 00:41:59,440 Speaker 1: the Intershim instruments. So those are the purification instruments. And 767 00:41:59,600 --> 00:42:04,320 Speaker 1: then in New York we have Advan Instruments. So Advan 768 00:42:04,520 --> 00:42:07,759 Speaker 1: that's the manufacturer of the mass spectrometer that is the 769 00:42:08,719 --> 00:42:12,600 Speaker 1: UH supersensitive detector that we use in the in the 770 00:42:12,719 --> 00:42:14,920 Speaker 1: purification process. You have to go back there a lot 771 00:42:15,160 --> 00:42:20,080 Speaker 1: for work and stuff and get so so would be 772 00:42:20,120 --> 00:42:23,840 Speaker 1: a better you know, um prior to the merger of 773 00:42:24,360 --> 00:42:29,120 Speaker 1: Advan and Intershim in two thousand nineteen, UM I would 774 00:42:29,160 --> 00:42:32,000 Speaker 1: go to I would go to France every year for 775 00:42:32,120 --> 00:42:37,279 Speaker 1: work and now not now Emily in Paris, you don't 776 00:42:37,320 --> 00:42:40,359 Speaker 1: get to go to that cafe that she h not evenfore? Well, 777 00:42:40,400 --> 00:42:42,279 Speaker 1: who knows. I think I'll probably go. I've been there. 778 00:42:44,440 --> 00:42:47,360 Speaker 1: I went Uma. The last time I was there was 779 00:42:47,760 --> 00:42:53,319 Speaker 1: just before lockdown, so that was in February. Well, if 780 00:42:53,320 --> 00:42:55,560 Speaker 1: you ever want to take us, we'll go with you. Well, however, 781 00:42:55,680 --> 00:42:59,560 Speaker 1: I was in Spain last summer for doing an installation. Uh, 782 00:43:00,160 --> 00:43:03,399 Speaker 1: because this is a global Cannabis is global, so there's 783 00:43:03,400 --> 00:43:06,000 Speaker 1: a big installation in Spain. I'll be in Portugal probably 784 00:43:06,480 --> 00:43:09,640 Speaker 1: later this year sometime. So as you say that, now 785 00:43:09,719 --> 00:43:11,800 Speaker 1: you just take me to another direction. Is it small 786 00:43:11,840 --> 00:43:14,200 Speaker 1: equipment big equipment? Are they all one size? The one 787 00:43:14,239 --> 00:43:15,680 Speaker 1: size fit all? Or is it like as you say, 788 00:43:15,719 --> 00:43:18,319 Speaker 1: a big say a big thing. I'm in my head going, okay, 789 00:43:18,320 --> 00:43:20,719 Speaker 1: if I have a big facility, am I going to 790 00:43:20,800 --> 00:43:23,560 Speaker 1: have bigger equipment? Or is it all desktop? So the 791 00:43:24,960 --> 00:43:27,680 Speaker 1: the smaller system we have is in fact desktop. Okay, 792 00:43:27,719 --> 00:43:30,960 Speaker 1: So the whole thing fits, you know, it's it's about 793 00:43:31,040 --> 00:43:35,120 Speaker 1: this big okay, fits on the bench like a bigger microwave. Yeah. 794 00:43:35,560 --> 00:43:38,760 Speaker 1: And then the larger system is a little bit taller okay. 795 00:43:39,480 --> 00:43:43,279 Speaker 1: But the column all right, the column is eight and 796 00:43:43,280 --> 00:43:47,600 Speaker 1: a half feet tall. So much more industrial scale, is 797 00:43:47,640 --> 00:43:51,279 Speaker 1: it is it a is it a UM like like 798 00:43:51,640 --> 00:43:53,239 Speaker 1: does it need to be in a bomb proof room 799 00:43:53,480 --> 00:43:55,440 Speaker 1: or any of those? So all of these we are 800 00:43:55,680 --> 00:43:59,080 Speaker 1: using flammable solvings. Okay, So usually it's C one D one, 801 00:43:59,160 --> 00:44:02,160 Speaker 1: C one D two UM And it just depends on 802 00:44:02,239 --> 00:44:05,640 Speaker 1: the local jurisdiction is to what enforcement they have and 803 00:44:05,760 --> 00:44:09,360 Speaker 1: what regulations they have in play. So everywhere is different. 804 00:44:09,360 --> 00:44:13,480 Speaker 1: From the end, everywhere is different. Is it crazier in 805 00:44:13,600 --> 00:44:16,880 Speaker 1: some places or do we see a regulation coming around 806 00:44:17,000 --> 00:44:19,200 Speaker 1: going like okay, this makes the most sense everywhere. So 807 00:44:19,640 --> 00:44:23,320 Speaker 1: in one of my former businesses, UM, I was in 808 00:44:23,480 --> 00:44:28,120 Speaker 1: charge of consolidating three facilities in southern California. One was 809 00:44:28,200 --> 00:44:32,000 Speaker 1: in Harbor City, another one was in um lake Forest 810 00:44:32,080 --> 00:44:33,880 Speaker 1: down in Orange County, and the other one, which was 811 00:44:33,960 --> 00:44:38,279 Speaker 1: my facility, which was in Torrance, California. So Torrance and 812 00:44:38,360 --> 00:44:42,400 Speaker 1: Harbor City are in Los Angeles County, lake Forest is 813 00:44:42,520 --> 00:44:45,320 Speaker 1: in Orange County. I live in Lake Forest. So the 814 00:44:45,360 --> 00:44:47,239 Speaker 1: Orange County where we never hear the lake Forest and 815 00:44:47,280 --> 00:44:52,440 Speaker 1: now we've heard a couple of times today today. Orange 816 00:44:52,440 --> 00:44:55,759 Speaker 1: County not a very industrial county. Lake Forest has a 817 00:44:55,760 --> 00:44:57,880 Speaker 1: good litle industrial area that run off all at like 818 00:44:57,920 --> 00:45:00,239 Speaker 1: I drive through industrial but it's not like that. But 819 00:45:00,400 --> 00:45:04,719 Speaker 1: it's like commerce, it's not l A you know. So 820 00:45:04,920 --> 00:45:08,400 Speaker 1: it's the nicest industrial r I've ever seen to Yes, so, 821 00:45:08,560 --> 00:45:14,080 Speaker 1: the Orange County Fighter Authority, it's unlike any other regulatory 822 00:45:14,160 --> 00:45:16,200 Speaker 1: body I've ever dealt with. Oh, they don't play out there, 823 00:45:16,200 --> 00:45:19,160 Speaker 1: and yeah, they don't play that you you're breathing funny. 824 00:45:19,239 --> 00:45:24,359 Speaker 1: Excuse me, sir? You okay? Like oh yeah, so every 825 00:45:24,560 --> 00:45:28,879 Speaker 1: so in my experience in that facility, um, they made 826 00:45:28,960 --> 00:45:32,440 Speaker 1: us do what's called an H occupancy. H occupancy is 827 00:45:32,480 --> 00:45:35,520 Speaker 1: basically assuming that you're going to blow the place up, 828 00:45:35,800 --> 00:45:40,520 Speaker 1: so everything goes literally up. You have these concrete reinforced 829 00:45:40,560 --> 00:45:43,480 Speaker 1: walls that everything is supposed to go up, where as 830 00:45:43,520 --> 00:45:46,880 Speaker 1: and C one D one see one detail. It assumes 831 00:45:46,920 --> 00:45:49,279 Speaker 1: that you're going to control everything and you're not going 832 00:45:49,320 --> 00:45:52,800 Speaker 1: to have an explosion. So yeah, it was very difficult 833 00:45:52,840 --> 00:45:55,000 Speaker 1: to get that done. And it varies from you know, 834 00:45:56,280 --> 00:45:58,840 Speaker 1: and that was a million dollars to five. Yeah, so 835 00:45:59,400 --> 00:46:01,880 Speaker 1: that was and that was when my mindset was in 836 00:46:01,960 --> 00:46:05,520 Speaker 1: pharmaceutical manufacturing and the pro products that we went to 837 00:46:05,920 --> 00:46:09,480 Speaker 1: support that. What I've learned over the past six years 838 00:46:09,640 --> 00:46:15,360 Speaker 1: in cannabis. Is that it's that the spectrum of what 839 00:46:15,480 --> 00:46:19,640 Speaker 1: I've seen and what's allowed from one municipality to another, 840 00:46:20,760 --> 00:46:24,440 Speaker 1: it's um, no one knows what the hell it is 841 00:46:24,520 --> 00:46:27,279 Speaker 1: the wild West. Yeah, it really comes down to the 842 00:46:27,320 --> 00:46:29,960 Speaker 1: city or and I mean it is the city. It 843 00:46:30,200 --> 00:46:33,719 Speaker 1: is the local fire authority that will say that that's okay. Yeah, 844 00:46:34,080 --> 00:46:36,640 Speaker 1: so they have to have your hand at local fireth Yeah, 845 00:46:36,640 --> 00:46:38,239 Speaker 1: because the city comes in and you're like in the 846 00:46:38,280 --> 00:46:40,960 Speaker 1: city of Stanton, California, They're like, yeah, whatever, no problem. 847 00:46:41,000 --> 00:46:42,920 Speaker 1: And then all of a sudden, you're they're like no problem. 848 00:46:42,960 --> 00:46:45,680 Speaker 1: Then you're a nerve and they're like, nah, man, you're 849 00:46:45,719 --> 00:46:48,719 Speaker 1: gonna have to get a new building. You're like what, Like, yeah, 850 00:46:49,080 --> 00:46:51,600 Speaker 1: this ain't going down. And it's just because it's just 851 00:46:51,960 --> 00:46:53,960 Speaker 1: rules and regulations in this area. We don't want that 852 00:46:53,960 --> 00:46:57,160 Speaker 1: to even remotely happen exactly. Well, And I think I 853 00:46:57,239 --> 00:47:00,479 Speaker 1: think it comes to, uh, you know, financially, some people 854 00:47:00,480 --> 00:47:02,320 Speaker 1: are capable of probably paying a little bit more, so 855 00:47:02,400 --> 00:47:03,680 Speaker 1: they make you go through a little bit more of 856 00:47:03,760 --> 00:47:06,839 Speaker 1: a hoop. You think that's the case, especially in Lake Forest, 857 00:47:06,880 --> 00:47:09,480 Speaker 1: Orange County, South Orange County. I mean that's probably where 858 00:47:09,520 --> 00:47:11,440 Speaker 1: that's what I mean. If you know that, I mean 859 00:47:12,160 --> 00:47:14,839 Speaker 1: that would be my assumption. That would be my assumption. Yeah, 860 00:47:15,320 --> 00:47:17,520 Speaker 1: what do you think that's that's a safe assumption. Yeah. 861 00:47:17,520 --> 00:47:19,040 Speaker 1: You go to Beverly Hills and they're like, you want 862 00:47:19,080 --> 00:47:21,399 Speaker 1: to build a what in my town? Well, and also 863 00:47:21,520 --> 00:47:23,239 Speaker 1: you have come on down. Yeah I don't happen, but 864 00:47:23,320 --> 00:47:26,040 Speaker 1: do you you gonna some heavy reinforcements there. There's no 865 00:47:26,200 --> 00:47:28,239 Speaker 1: labs like kind of Beverly Hills that can imagine that 866 00:47:28,560 --> 00:47:30,920 Speaker 1: they're not gonna allow that is taken over there. I 867 00:47:30,920 --> 00:47:34,080 Speaker 1: don't think there's even dispense reasons every right, but you 868 00:47:34,160 --> 00:47:35,799 Speaker 1: know what I mean, I mean, yeah, I know there's 869 00:47:35,800 --> 00:47:37,520 Speaker 1: the money for everything. I get what you're saying. Yeah, 870 00:47:37,560 --> 00:47:39,240 Speaker 1: but no, you hit the nail on the head because 871 00:47:40,080 --> 00:47:43,640 Speaker 1: there's also what I consider predatory behavior on the part 872 00:47:43,760 --> 00:47:46,880 Speaker 1: of municipalities, like what's happened out in Desert Hot Springs 873 00:47:46,960 --> 00:47:50,160 Speaker 1: and that area where the permitting fees to get a 874 00:47:50,239 --> 00:47:53,800 Speaker 1: manufacturing operation up and running are through the roof and 875 00:47:53,960 --> 00:47:56,200 Speaker 1: they can go. You know, if you're smart, you're gonna 876 00:47:56,400 --> 00:47:58,600 Speaker 1: keep on going east and head over to blythe where 877 00:47:58,640 --> 00:48:02,160 Speaker 1: it's a fraction of what you or needles or needles exactly. Yeah, 878 00:48:02,320 --> 00:48:05,560 Speaker 1: blthe is Yeah, don't you gotta place some needles? Do ye? Yeah, 879 00:48:06,280 --> 00:48:08,160 Speaker 1: that's crazy what you have to do. We forget anything 880 00:48:08,280 --> 00:48:09,759 Speaker 1: or not mentioned something that you want to mention on 881 00:48:09,840 --> 00:48:12,040 Speaker 1: this show. Man. You're very interesting and I love what 882 00:48:12,120 --> 00:48:16,360 Speaker 1: you're doing. And your location is all over New York, France. 883 00:48:16,400 --> 00:48:18,920 Speaker 1: Here we go. He's traveling man. He's gonna be here, 884 00:48:19,000 --> 00:48:20,680 Speaker 1: there and everywhere. If you need him, go to that 885 00:48:20,760 --> 00:48:23,560 Speaker 1: long As website and check out his website which is 886 00:48:24,360 --> 00:48:30,239 Speaker 1: Intersham Inc. Dot com. Yeah, interesting spell form I n 887 00:48:30,360 --> 00:48:33,120 Speaker 1: T so I n as A Nancy T e r 888 00:48:33,280 --> 00:48:37,000 Speaker 1: c h I M is in mary I n c 889 00:48:37,360 --> 00:48:39,600 Speaker 1: dot com. There is. And one other thing I do 890 00:48:39,719 --> 00:48:42,440 Speaker 1: want to mention is we have introduced a heavy metals 891 00:48:42,480 --> 00:48:45,960 Speaker 1: analyzer which is a much lower cost than what's typically 892 00:48:46,040 --> 00:48:49,440 Speaker 1: been provided to the testing labs and it's super simple software. 893 00:48:49,560 --> 00:48:52,359 Speaker 1: We've got an application for cannabis and it's it's something 894 00:48:52,440 --> 00:48:55,279 Speaker 1: to see. Awesome, brother, Well, thank you for your time, 895 00:48:55,320 --> 00:48:57,000 Speaker 1: Good luck to you. Go check that out. If you're 896 00:48:57,040 --> 00:48:59,400 Speaker 1: interested in everybody out there, let's sen remember this. You 897 00:48:59,560 --> 00:49:02,920 Speaker 1: better him next time to cann mad and if nobody 898 00:49:02,960 --> 00:49:06,200 Speaker 1: else lives you blue we do. Thank you for listening 899 00:49:06,239 --> 00:49:08,239 Speaker 1: to Cannabis Talk one oh one on the I Heart 900 00:49:08,320 --> 00:49:12,000 Speaker 1: Radio app, Apple Podcasts, or wherever you get your podcasts.