1 00:00:00,200 --> 00:00:02,519 Speaker 1: Heard around the world on the I Heart Radio app, 2 00:00:02,720 --> 00:00:06,600 Speaker 1: Apple Podcast or wherever you get your podcast. It's Cannabis 3 00:00:06,600 --> 00:00:10,280 Speaker 1: Talk one oh one with Blue and Child. Welcome to 4 00:00:10,280 --> 00:00:12,320 Speaker 1: Cannabis Talk one oh well and Blue and Joe Brande 5 00:00:12,400 --> 00:00:14,560 Speaker 1: the wilds number one source for every d cannabis thinking 6 00:00:14,640 --> 00:00:16,439 Speaker 1: for Listen to the podcast all around the world. To 7 00:00:16,480 --> 00:00:18,760 Speaker 1: make sure you check on our website, Cannabis Talk one 8 00:00:18,760 --> 00:00:20,840 Speaker 1: oh one dot com, as we are the world'snumber one 9 00:00:20,840 --> 00:00:23,800 Speaker 1: source for everything cannabis. We've got so many great articles 10 00:00:23,840 --> 00:00:25,439 Speaker 1: and blogs on the site for you to read and 11 00:00:25,520 --> 00:00:27,960 Speaker 1: check out, and make sure you call us up anytime. 12 00:00:27,960 --> 00:00:31,720 Speaker 1: One twenty nineteen eight check out the i G pages 13 00:00:31,760 --> 00:00:33,960 Speaker 1: at Cannabis Talk one oh one. Blue was at the 14 00:00:34,000 --> 00:00:36,120 Speaker 1: number one Christopher Wright and I am at Joe brand 15 00:00:36,200 --> 00:00:38,279 Speaker 1: A fifty two. And you guys know what time it 16 00:00:38,360 --> 00:00:40,480 Speaker 1: is out here in Vegas. That's right, dive time. Think 17 00:00:40,520 --> 00:00:44,200 Speaker 1: hire with Diame Industries. Find them in California, Arizona, Oklahoma 18 00:00:44,240 --> 00:00:46,760 Speaker 1: and check them out on the website. Diamon Industries dot com. 19 00:00:47,040 --> 00:00:50,040 Speaker 1: Are on i G dime dot Industries as we are 20 00:00:50,080 --> 00:00:53,239 Speaker 1: all the way live at m j Biscon two and 21 00:00:53,280 --> 00:00:56,600 Speaker 1: beautiful Las Vegas Nevada. This right here is gonna be 22 00:00:56,640 --> 00:00:58,600 Speaker 1: a cool interview because there's a lot of people walking 23 00:00:58,640 --> 00:01:01,680 Speaker 1: around and we're supposed to have one person but a 24 00:01:01,680 --> 00:01:03,600 Speaker 1: little pivots, which Jen and I are are used to 25 00:01:03,680 --> 00:01:06,520 Speaker 1: the pivots. Jen can handle it. I could handle it. 26 00:01:06,800 --> 00:01:10,120 Speaker 1: We're okay, right Jen, It's like okay, Jen dents and 27 00:01:10,200 --> 00:01:15,160 Speaker 1: the senior scientists at Dynamic Dynamic DNA Laboratories. She's been 28 00:01:15,160 --> 00:01:17,959 Speaker 1: there for five years. Her phone number is now. I'm 29 00:01:18,000 --> 00:01:22,039 Speaker 1: just kidding, that'd be great in your message. This is great. 30 00:01:22,080 --> 00:01:25,040 Speaker 1: I mean this company. What I really love about what 31 00:01:25,120 --> 00:01:28,560 Speaker 1: your company is doing, Jen, is you're a senior scientist there. Now, 32 00:01:28,640 --> 00:01:30,760 Speaker 1: let me explain a little bit about it and see 33 00:01:30,760 --> 00:01:32,680 Speaker 1: if you can make it make a little bit more sense. 34 00:01:32,720 --> 00:01:34,200 Speaker 1: And I want to get that chance to know who 35 00:01:34,240 --> 00:01:37,520 Speaker 1: you are. Jen. But Dynamic DNA Labs is a state 36 00:01:37,520 --> 00:01:41,080 Speaker 1: of the art genetic lab that specializes in advanced DNA 37 00:01:41,200 --> 00:01:44,720 Speaker 1: testing by offering a range of services including family and 38 00:01:44,800 --> 00:01:50,240 Speaker 1: ancestry testing, proactive health panels, and personalized medicine reporting. Now, 39 00:01:50,280 --> 00:01:54,040 Speaker 1: they strive to help our cannabis customers and community better 40 00:01:54,120 --> 00:01:58,160 Speaker 1: understand themselves and ultimately lead them to a healthier and 41 00:01:58,280 --> 00:02:00,840 Speaker 1: happier lifestyle. We're gonna figure out what that means. It's 42 00:02:00,880 --> 00:02:03,320 Speaker 1: so much more. Whether you are looking to take a 43 00:02:03,400 --> 00:02:07,960 Speaker 1: personalized approach on fitness, our track your family past. You've 44 00:02:08,000 --> 00:02:10,520 Speaker 1: come to the right place, So welcome to the show. 45 00:02:10,560 --> 00:02:14,200 Speaker 1: You could find their website nice and easy at Dynamics 46 00:02:14,880 --> 00:02:18,200 Speaker 1: DNA Labs dot com are if you want to find 47 00:02:18,200 --> 00:02:22,760 Speaker 1: them on the good old I g at Dynamic DNA Labs. 48 00:02:22,880 --> 00:02:25,800 Speaker 1: That's L A B. S at the end. And you 49 00:02:25,840 --> 00:02:27,960 Speaker 1: guys are if I'm not mistaken, aren't you guys out 50 00:02:27,960 --> 00:02:33,520 Speaker 1: in Missouri? Yeah, we're in southwest Missouri in Springfield. And 51 00:02:33,560 --> 00:02:36,800 Speaker 1: I bring that up first because you gotta kind of 52 00:02:36,840 --> 00:02:38,960 Speaker 1: be happy that Missouri is one of the last states 53 00:02:39,040 --> 00:02:41,960 Speaker 1: right now recently to just go fully wreck. I mean, 54 00:02:42,040 --> 00:02:46,320 Speaker 1: how did that feel for you gen out there? I'm sorry, 55 00:02:46,360 --> 00:02:49,280 Speaker 1: what was the question that it just went in Missouri, 56 00:02:49,400 --> 00:02:53,920 Speaker 1: just went recreationally legal out in Missouri. Yah? So was 57 00:02:53,919 --> 00:02:57,960 Speaker 1: that a big thing for you guys? Yeah? I was 58 00:02:58,040 --> 00:03:01,000 Speaker 1: really surprised in a good way that it passed by 59 00:03:01,000 --> 00:03:04,400 Speaker 1: such a large margin too, and not only passed with 60 00:03:04,440 --> 00:03:06,640 Speaker 1: a large margin. It's just funny to think that when 61 00:03:06,680 --> 00:03:09,960 Speaker 1: the Green vote comes around it always makes a big 62 00:03:10,000 --> 00:03:11,880 Speaker 1: stamp of this and that I want to get into 63 00:03:11,919 --> 00:03:14,120 Speaker 1: the whole dynamic DNA, what they are and what they do. 64 00:03:14,200 --> 00:03:17,680 Speaker 1: But you are a scientist, and I'm just gonna say it, 65 00:03:17,720 --> 00:03:20,480 Speaker 1: you look very young. So I'm looking at you, going wow, 66 00:03:20,520 --> 00:03:23,160 Speaker 1: who was this young chick right here doing her thing 67 00:03:23,960 --> 00:03:28,839 Speaker 1: over there? How long you've been there? Five years? Right? Right? Yeah, 68 00:03:28,840 --> 00:03:31,280 Speaker 1: I've been here for five years, but I've worked in 69 00:03:31,600 --> 00:03:34,920 Speaker 1: both clinical labs and academic research labs prior to that. 70 00:03:35,640 --> 00:03:37,560 Speaker 1: A little bit about you? Who are you and where 71 00:03:37,600 --> 00:03:48,560 Speaker 1: are you from? Jin a little bit of time in 72 00:03:48,560 --> 00:03:51,560 Speaker 1: other parts of the state. Um, but I always knew 73 00:03:51,560 --> 00:03:55,240 Speaker 1: that I was a lab person and on the people person. 74 00:03:56,160 --> 00:03:58,040 Speaker 1: Let's start let's let's start that over. We had we 75 00:03:58,040 --> 00:04:01,520 Speaker 1: had a little ways that I can these. We had 76 00:04:01,520 --> 00:04:03,880 Speaker 1: a small little glitch there, start over again, who are 77 00:04:03,880 --> 00:04:05,440 Speaker 1: you and where are you from? I'm sorry. I was like, 78 00:04:05,440 --> 00:04:07,800 Speaker 1: oh no, what happened to her? And then she came back, 79 00:04:08,080 --> 00:04:11,240 Speaker 1: so once again, who are you and where are your? 80 00:04:11,280 --> 00:04:17,960 Speaker 1: Recording stopped? We stopped recording because that's probably like, okay, 81 00:04:18,000 --> 00:04:21,159 Speaker 1: are you there, Jen? Yeah, I'm still here. I'm sorry. 82 00:04:21,200 --> 00:04:23,000 Speaker 1: Let's start that again. Who are you jenn And where 83 00:04:23,000 --> 00:04:29,000 Speaker 1: are you from? So I'm from right here in Springfield, Missouri, UM. 84 00:04:29,000 --> 00:04:31,119 Speaker 1: I went to college and grad school here. I've lived 85 00:04:31,240 --> 00:04:34,920 Speaker 1: a few other places in Missouri, UM. But I've always 86 00:04:34,960 --> 00:04:37,480 Speaker 1: been more of a lab person and not a people person. 87 00:04:37,760 --> 00:04:40,200 Speaker 1: So I've always tried to find ways that I can 88 00:04:40,279 --> 00:04:44,120 Speaker 1: use laboratory skills and knowledge to help people out. What 89 00:04:44,320 --> 00:04:46,760 Speaker 1: made you go towards the lab? Because I always look 90 00:04:46,839 --> 00:04:49,960 Speaker 1: at scientists and go, how cool is that that they 91 00:04:50,000 --> 00:04:53,400 Speaker 1: have this knack to put their head down, look through 92 00:04:54,040 --> 00:04:57,800 Speaker 1: scopes and look and figure and think and go out 93 00:04:57,839 --> 00:05:00,120 Speaker 1: of the box and want to go what can this do? 94 00:05:00,240 --> 00:05:02,360 Speaker 1: What can that do? Let me break that down harder? 95 00:05:02,680 --> 00:05:08,919 Speaker 1: Where does that love come from? Yeah, I'm I've always 96 00:05:08,920 --> 00:05:11,680 Speaker 1: been someone who wanted to know how things work and 97 00:05:11,920 --> 00:05:13,680 Speaker 1: just asked a lot of questions and had a lot 98 00:05:13,720 --> 00:05:18,560 Speaker 1: of curiosity UM. And then in college I started doing 99 00:05:18,600 --> 00:05:22,080 Speaker 1: more lab work through classes and discovered that being in 100 00:05:22,080 --> 00:05:23,880 Speaker 1: a lab was a lot of fun because you get 101 00:05:23,920 --> 00:05:25,880 Speaker 1: to do a lot of hands on stuff as well 102 00:05:25,920 --> 00:05:31,400 Speaker 1: as just sitting in UM. And so it really it 103 00:05:31,480 --> 00:05:34,400 Speaker 1: fits me and my personality pretty well. Well. I think 104 00:05:34,440 --> 00:05:36,600 Speaker 1: it's awesome because it's the work that people like you 105 00:05:36,680 --> 00:05:38,880 Speaker 1: do that make it so great for everybody else to 106 00:05:39,040 --> 00:05:42,159 Speaker 1: find out new things about their d n A. And 107 00:05:42,800 --> 00:05:44,719 Speaker 1: I mean, let's just face it, when we were younger, 108 00:05:44,800 --> 00:05:46,960 Speaker 1: it wasn't like d n A was out there. It 109 00:05:47,040 --> 00:05:50,279 Speaker 1: wasn't like d NA was something that everybody knew about. 110 00:05:50,360 --> 00:05:53,799 Speaker 1: And now it's becoming something that people are like whoa, 111 00:05:53,920 --> 00:05:59,599 Speaker 1: which blows my mind because like watching whatever it was 112 00:05:59,640 --> 00:06:02,000 Speaker 1: as it kid, it wasn't DNA this, or wasn't being 113 00:06:02,000 --> 00:06:04,159 Speaker 1: able to find who killed somebody, or being able to 114 00:06:04,200 --> 00:06:07,159 Speaker 1: find out where your family comes from. And now that 115 00:06:07,240 --> 00:06:09,640 Speaker 1: we're able to find all these things, people are getting 116 00:06:09,640 --> 00:06:12,440 Speaker 1: out of prison, people are you know, getting just saving 117 00:06:12,480 --> 00:06:17,080 Speaker 1: people's lives literally and changing their lives by the things 118 00:06:17,080 --> 00:06:18,839 Speaker 1: that you guys are doing there, which I can't wait 119 00:06:19,120 --> 00:06:22,080 Speaker 1: to dive into a little more. As you're from Missouri 120 00:06:22,080 --> 00:06:23,359 Speaker 1: and this and that, we like to ask some of 121 00:06:23,360 --> 00:06:24,880 Speaker 1: the guests we get to know them a little better. 122 00:06:25,279 --> 00:06:27,040 Speaker 1: What are some of the shows that you like watching? 123 00:06:27,040 --> 00:06:29,000 Speaker 1: Are you a forensic chick matter? Like you know, do 124 00:06:29,000 --> 00:06:32,159 Speaker 1: you watch only scientists type shows or what do you 125 00:06:32,200 --> 00:06:36,600 Speaker 1: watch on TV and Netflix and things like that? Um, yeah, 126 00:06:36,640 --> 00:06:40,839 Speaker 1: I'm a big true crime junkie. Um, so I really 127 00:06:40,880 --> 00:06:44,800 Speaker 1: like any kind of anything involving you know, murders and 128 00:06:44,800 --> 00:06:48,720 Speaker 1: blood and core. Uh, that's that's kind of my nitch. 129 00:06:49,400 --> 00:06:52,039 Speaker 1: And music wise, what is your go to music wise? 130 00:06:52,080 --> 00:06:55,280 Speaker 1: What what do you like to listen to? Oh? Any 131 00:06:55,360 --> 00:06:58,200 Speaker 1: kind of like uh low fight chill kind of stuff. 132 00:06:58,240 --> 00:07:03,120 Speaker 1: Emancipator tychos up like that? Nice? Okay? Cool? A little 133 00:07:03,120 --> 00:07:07,080 Speaker 1: about who Jenna is out there? Jen Denson a senior scientist. 134 00:07:07,160 --> 00:07:10,160 Speaker 1: Now what does that mean to be a senior scientist? 135 00:07:10,280 --> 00:07:12,200 Speaker 1: When we come back, We're gonna take a break. It's 136 00:07:12,320 --> 00:07:15,160 Speaker 1: Joe Grande Blue over here at Cannabis Talk one on 137 00:07:15,280 --> 00:07:17,760 Speaker 1: one at m J Bizcon two. I love how I 138 00:07:17,840 --> 00:07:20,440 Speaker 1: just turned out all the way around right there, Jenneral, 139 00:07:20,520 --> 00:07:22,520 Speaker 1: we come back. What does it take to be a 140 00:07:22,600 --> 00:07:26,640 Speaker 1: senior scientist at Dynamic DNA Because you're not the first 141 00:07:26,760 --> 00:07:29,400 Speaker 1: scientist to be hired like our other guy was I 142 00:07:29,400 --> 00:07:31,720 Speaker 1: was supposed to be talking to, but you have been 143 00:07:31,760 --> 00:07:33,320 Speaker 1: there for five years. Were gonna take a break and 144 00:07:33,360 --> 00:07:35,600 Speaker 1: come back with Jen. It's Cannabis Talk one on one. 145 00:07:35,600 --> 00:07:37,360 Speaker 1: Will be right back after. We'll be right back with 146 00:07:37,480 --> 00:07:48,280 Speaker 1: Cannabis Talk one oh one. Welcome back to cannabis talk 147 00:07:48,280 --> 00:07:50,440 Speaker 1: one oh one. I'm looking for a trusted cannabis see 148 00:07:50,440 --> 00:07:52,040 Speaker 1: at a fair price. You want to head the Rocket 149 00:07:52,080 --> 00:07:55,360 Speaker 1: Seeds dot com are on Instagram at Rocket Underscore Seeds 150 00:07:55,640 --> 00:07:57,840 Speaker 1: and go check out all the amazing, wonderful scenes that 151 00:07:57,920 --> 00:07:59,960 Speaker 1: they have there. And I just heard they have a 152 00:08:00,120 --> 00:08:02,000 Speaker 1: new line of suits folks that are gonna be put 153 00:08:02,080 --> 00:08:04,160 Speaker 1: up on the website, So make sure you go check 154 00:08:04,160 --> 00:08:06,160 Speaker 1: out the website if you're looking for some new suits. 155 00:08:06,520 --> 00:08:08,840 Speaker 1: Before we went to break Jen, we asked what does 156 00:08:08,920 --> 00:08:12,680 Speaker 1: it take should be a senior scientist? Now? Is it 157 00:08:12,800 --> 00:08:16,280 Speaker 1: something different at every place, but at Dynamic DNA you're 158 00:08:16,320 --> 00:08:18,920 Speaker 1: a senior scientist there. What does it take to be 159 00:08:18,920 --> 00:08:24,520 Speaker 1: a senior scientist at your location? Pretty much just a 160 00:08:24,560 --> 00:08:28,280 Speaker 1: master's degree and a few years of experience UM with 161 00:08:28,320 --> 00:08:32,480 Speaker 1: the types of lab techniques that we used UM. Typically 162 00:08:32,480 --> 00:08:35,559 Speaker 1: in the industry, when you're first hired straight out of 163 00:08:35,600 --> 00:08:38,719 Speaker 1: grad school, you'll probably be a junior scientist. And then 164 00:08:38,760 --> 00:08:40,520 Speaker 1: once you get you know, a few years under your 165 00:08:40,800 --> 00:08:44,360 Speaker 1: v and got some leadership experience, I guess, and you 166 00:08:44,480 --> 00:08:48,520 Speaker 1: can become a senior scientist. Talk about that. Scientists first 167 00:08:48,559 --> 00:08:50,720 Speaker 1: few years, what do you do when you start coming 168 00:08:50,760 --> 00:08:52,320 Speaker 1: in there, and then what do you change and evolve 169 00:08:52,400 --> 00:08:57,600 Speaker 1: to as a senior scientist. Sure when you um first 170 00:08:57,720 --> 00:09:01,559 Speaker 1: start out and this is true, and research labs or 171 00:09:01,600 --> 00:09:08,400 Speaker 1: private labs to be helping out people who have more experience, 172 00:09:08,760 --> 00:09:12,680 Speaker 1: um and more education than you do with their experiments um, 173 00:09:12,760 --> 00:09:15,920 Speaker 1: and they're testing. And then once, like I said, you 174 00:09:15,960 --> 00:09:18,480 Speaker 1: get a few more years of experience under your own belt, 175 00:09:18,600 --> 00:09:20,760 Speaker 1: then you can start sort of being in charge of 176 00:09:20,800 --> 00:09:24,600 Speaker 1: stuff and so um you get you know, a nice 177 00:09:24,760 --> 00:09:28,320 Speaker 1: bump in your job title, but you also get more responsibilities. 178 00:09:28,400 --> 00:09:33,000 Speaker 1: So with great responsibility comes so many amazing things. And 179 00:09:33,040 --> 00:09:35,040 Speaker 1: that's what you're doing over there. And I want to 180 00:09:35,080 --> 00:09:37,480 Speaker 1: talk about these amazing tests and things that you guys 181 00:09:37,520 --> 00:09:40,480 Speaker 1: are doing at Dynamic DNA. As I said at the beginning, 182 00:09:40,840 --> 00:09:44,280 Speaker 1: let's talk and break these down one by one. I 183 00:09:44,320 --> 00:09:46,840 Speaker 1: like seeing this nutrition. I like all of them actually, 184 00:09:46,840 --> 00:09:48,640 Speaker 1: to be honest with you, there they just in fast 185 00:09:49,280 --> 00:09:52,480 Speaker 1: break this down for me optimal diet for weight loss. 186 00:09:52,520 --> 00:09:57,160 Speaker 1: It says in a nutrition food reactions and nutritional needs 187 00:09:57,200 --> 00:10:00,560 Speaker 1: and healthy eating behaviors. So what is it take to 188 00:10:00,640 --> 00:10:03,040 Speaker 1: do one of these tests? And how does it work? 189 00:10:05,000 --> 00:10:07,600 Speaker 1: So all of these tests, all you would need to 190 00:10:07,640 --> 00:10:10,079 Speaker 1: do if you wanted to get it is just a 191 00:10:10,160 --> 00:10:13,199 Speaker 1: cheek swab, so you would buy it on our website. Um, 192 00:10:13,200 --> 00:10:16,160 Speaker 1: we send you a kit. The kit has UM two 193 00:10:16,280 --> 00:10:18,400 Speaker 1: swabs and a little envelope that you stick them in 194 00:10:18,480 --> 00:10:21,560 Speaker 1: and a return mailer. So you just swab inside your 195 00:10:21,600 --> 00:10:23,319 Speaker 1: cheek kind of just like you're brushing your teeth, but 196 00:10:23,360 --> 00:10:25,680 Speaker 1: it's your cheek skin. UM, stick them in the envelope 197 00:10:25,679 --> 00:10:27,800 Speaker 1: and send them back, and that contains all the DNA 198 00:10:27,880 --> 00:10:31,320 Speaker 1: that we need to run the test. And why the cannabis, Like, 199 00:10:31,400 --> 00:10:34,079 Speaker 1: how does this work with cannabis? And this is that 200 00:10:34,160 --> 00:10:36,160 Speaker 1: because like right now when I'm looking at the nutrition 201 00:10:36,280 --> 00:10:38,960 Speaker 1: or am I just wrong because it maybe has nothing 202 00:10:39,000 --> 00:10:41,280 Speaker 1: to do with cannabis at this point I'm looking at 203 00:10:41,280 --> 00:10:43,800 Speaker 1: this point, this is just for anybody out there that 204 00:10:43,880 --> 00:10:46,319 Speaker 1: wants to do their testing and figure out how they 205 00:10:46,320 --> 00:10:49,840 Speaker 1: can optimize diet for weight loss, how they can look 206 00:10:49,840 --> 00:10:53,000 Speaker 1: at the food reactions and nutritional needs and the healthy 207 00:10:53,000 --> 00:10:56,600 Speaker 1: eating behaviors under the nutrition DNA tests. Am I correct 208 00:10:56,640 --> 00:11:00,840 Speaker 1: on that? Yeah? Our cannabis test is actually a separate 209 00:11:00,920 --> 00:11:06,080 Speaker 1: test that specifically looks at th, HC and CBD metabolism 210 00:11:06,120 --> 00:11:08,679 Speaker 1: as well as a few other related traits that might 211 00:11:08,679 --> 00:11:12,320 Speaker 1: be of interest to the average cannabis user. UM. And 212 00:11:12,400 --> 00:11:15,280 Speaker 1: so that's a separate test, but it's it's the process 213 00:11:15,360 --> 00:11:18,720 Speaker 1: the exact same way. And and when you look at 214 00:11:18,800 --> 00:11:21,719 Speaker 1: this nutrition one. For instance, if I did the nutrition one, 215 00:11:21,760 --> 00:11:25,079 Speaker 1: I swabbed my mouth, I turned it in, what type 216 00:11:25,080 --> 00:11:27,160 Speaker 1: of results am I gonna get? Because Jen, at one point, 217 00:11:27,160 --> 00:11:29,960 Speaker 1: I was over three pounds and I've lost a lot 218 00:11:29,960 --> 00:11:32,400 Speaker 1: of weight, and i'd work out and I'm stressed out. 219 00:11:32,520 --> 00:11:35,200 Speaker 1: So it's a fun fact of oh wow, look at 220 00:11:35,240 --> 00:11:38,719 Speaker 1: how much I've lost. How does it work? And what 221 00:11:38,760 --> 00:11:41,000 Speaker 1: do they get back? And type of information that they're 222 00:11:41,040 --> 00:11:45,080 Speaker 1: going to receive. Yeah, the type of information that you'll 223 00:11:45,080 --> 00:11:48,040 Speaker 1: get back from the nutrition test are things like your 224 00:11:48,120 --> 00:11:52,840 Speaker 1: genetic predispositions to how you metabolize different vitamins and minerals. 225 00:11:53,120 --> 00:11:56,920 Speaker 1: So maybe because of your genes, you don't process fullate 226 00:11:57,000 --> 00:12:00,360 Speaker 1: as well, or you don't process iron as well. Um. 227 00:12:00,360 --> 00:12:02,320 Speaker 1: And so those are things that you can keep in mind, 228 00:12:02,720 --> 00:12:05,800 Speaker 1: especially when you're looking at supplements or when you're um 229 00:12:05,800 --> 00:12:08,320 Speaker 1: going over stuff with your doctor about you know, your 230 00:12:08,400 --> 00:12:10,960 Speaker 1: nutritional needs. UM. Those are really good things to know 231 00:12:11,200 --> 00:12:12,960 Speaker 1: because maybe you need a little bit more, a little 232 00:12:12,960 --> 00:12:16,439 Speaker 1: bit less than the average person. And let's move on 233 00:12:16,440 --> 00:12:18,920 Speaker 1: to the fitness one, because I look at nutrition and 234 00:12:18,960 --> 00:12:20,760 Speaker 1: I look at fitness, and I feel like they go 235 00:12:20,880 --> 00:12:22,880 Speaker 1: kind of hand in hand. I mean, when I get 236 00:12:22,920 --> 00:12:24,600 Speaker 1: to the spin one, I feel like it's a little 237 00:12:24,720 --> 00:12:27,199 Speaker 1: different because now you're looking at your skin, but the 238 00:12:27,320 --> 00:12:31,600 Speaker 1: nutrition and fitness is more maybe internal for nutrition, fitness 239 00:12:31,640 --> 00:12:34,520 Speaker 1: a little bit out of that internal going towards your 240 00:12:34,559 --> 00:12:37,440 Speaker 1: body and muscles a little bit more. But optimal, Uh, 241 00:12:37,760 --> 00:12:41,720 Speaker 1: what is it? Optimal exercise for weight loss, muscle strength 242 00:12:41,760 --> 00:12:45,840 Speaker 1: and growth, injury risk and recovery time. I feel like 243 00:12:45,880 --> 00:12:48,240 Speaker 1: I could look at that and try to figure out 244 00:12:48,240 --> 00:12:51,080 Speaker 1: what type of CBDs I'll be using for my body 245 00:12:51,120 --> 00:12:56,679 Speaker 1: as well once I take this DNA test. Yeah, the 246 00:12:56,679 --> 00:13:00,200 Speaker 1: fitness test looks more at things like muscle growth, oath, 247 00:13:00,400 --> 00:13:03,880 Speaker 1: and those kinds of genetic predispositions that, um, you can 248 00:13:03,920 --> 00:13:07,439 Speaker 1: really help to sort of craft a good workout because 249 00:13:07,520 --> 00:13:10,040 Speaker 1: you know, most most times when you're wanting to really 250 00:13:10,040 --> 00:13:13,560 Speaker 1: turn your life around or engage in a healthier lifestyle 251 00:13:13,559 --> 00:13:15,640 Speaker 1: than what you have been, diet and exercise really go 252 00:13:15,720 --> 00:13:18,719 Speaker 1: hand in hands. It really does. Like I said, that's 253 00:13:18,720 --> 00:13:21,720 Speaker 1: always like going nutrition fitness. It's right there. So if 254 00:13:21,720 --> 00:13:23,520 Speaker 1: you're gonna do a test, you could buy either one 255 00:13:23,520 --> 00:13:25,679 Speaker 1: of those, and then you go to the skin one. 256 00:13:26,000 --> 00:13:27,800 Speaker 1: It's funny and as I look at the skin when well, 257 00:13:27,880 --> 00:13:30,880 Speaker 1: not funny, but I look at my wife and she 258 00:13:31,000 --> 00:13:33,480 Speaker 1: has like some skin issues, right and she is my 259 00:13:33,559 --> 00:13:36,920 Speaker 1: son as well has eggzema, and you know, always looking 260 00:13:36,960 --> 00:13:38,720 Speaker 1: at that going oh, what can we use for this? 261 00:13:38,840 --> 00:13:41,480 Speaker 1: What can we use for that? My wife always working 262 00:13:41,480 --> 00:13:44,040 Speaker 1: on things and us men working on things for aging. 263 00:13:44,480 --> 00:13:48,480 Speaker 1: What is the skin one work on? Yeah, the skin 264 00:13:48,600 --> 00:13:51,760 Speaker 1: looks at all of those genes UM that have to 265 00:13:51,840 --> 00:13:56,280 Speaker 1: do with UM, your skin health basically UM, as well 266 00:13:56,320 --> 00:14:01,280 Speaker 1: as specific nutrients that UM can tribute to your skin health. 267 00:14:01,360 --> 00:14:04,320 Speaker 1: And we also provide suggested remedies if, like you said, 268 00:14:04,320 --> 00:14:07,520 Speaker 1: eczema something like that, and if that's something that you 269 00:14:07,559 --> 00:14:09,760 Speaker 1: struggle with or if that's something that our tests shows 270 00:14:09,760 --> 00:14:16,000 Speaker 1: your genetic UM. We do have some recommended treatments that 271 00:14:16,320 --> 00:14:18,960 Speaker 1: are a good start for you if you're trying to 272 00:14:18,960 --> 00:14:21,440 Speaker 1: get a handle on those kinds of things. Is there 273 00:14:21,440 --> 00:14:23,680 Speaker 1: anything that you guys ever found that was like WHOA, 274 00:14:23,760 --> 00:14:29,080 Speaker 1: I had no idea this was in somebody's skin yet No, 275 00:14:29,320 --> 00:14:31,960 Speaker 1: not really, UM. All of our tests are based on 276 00:14:32,040 --> 00:14:36,560 Speaker 1: already existing research. UM. We really rely on the rest 277 00:14:36,600 --> 00:14:40,080 Speaker 1: of the scientific community UM to develop these what are 278 00:14:40,080 --> 00:14:43,560 Speaker 1: called genome wide association studies UM. And that's what all 279 00:14:43,600 --> 00:14:47,480 Speaker 1: of our testing is based on, already peer reviewed published research. 280 00:14:48,560 --> 00:14:51,320 Speaker 1: And how much research do you guys utilize when you 281 00:14:51,320 --> 00:14:53,960 Speaker 1: look at this, I mean, because there's got to be 282 00:14:54,080 --> 00:14:56,800 Speaker 1: so much of an abundance amount of research, right, It's 283 00:14:56,800 --> 00:14:58,800 Speaker 1: not like, oh, we just used this one that one. 284 00:14:59,240 --> 00:15:02,360 Speaker 1: What do you I use as the standard dishes? What 285 00:15:02,400 --> 00:15:07,400 Speaker 1: we use and go buy? Like I said, for most 286 00:15:07,480 --> 00:15:10,280 Speaker 1: of these, it's going to rely on things called genome 287 00:15:10,280 --> 00:15:14,600 Speaker 1: wide association studies UM that are really looking at correlations 288 00:15:14,640 --> 00:15:20,760 Speaker 1: between certain genotypes and UM. The phenotypes meaning, for example, 289 00:15:21,200 --> 00:15:23,760 Speaker 1: you know, the diet for weight loss, best diet for 290 00:15:23,840 --> 00:15:26,000 Speaker 1: weight loss. So there was a huge study with thousands 291 00:15:26,040 --> 00:15:29,000 Speaker 1: of participants UM that broke them into groups, put them 292 00:15:29,000 --> 00:15:31,840 Speaker 1: on different diets, saw which one's lost more weight than 293 00:15:31,880 --> 00:15:35,080 Speaker 1: the others, and then checked their DNA to see, well, 294 00:15:35,120 --> 00:15:38,600 Speaker 1: if this person lost more weight on this diet and 295 00:15:38,640 --> 00:15:42,000 Speaker 1: they have this particular mutation in this gene UM, then 296 00:15:42,040 --> 00:15:44,400 Speaker 1: if you have that particular mutation, you might do better 297 00:15:44,440 --> 00:15:46,880 Speaker 1: on that diet as well. So for most of our 298 00:15:47,040 --> 00:15:49,720 Speaker 1: traits and our reports, that's kind of the basis of it. 299 00:15:49,800 --> 00:15:53,600 Speaker 1: When you get down into like nutrient metabolism and THHC 300 00:15:53,760 --> 00:15:57,320 Speaker 1: metabolism and things like that, those are UM much more 301 00:15:57,400 --> 00:16:01,800 Speaker 1: causal studies. So they utilize UM all kinds of different 302 00:16:01,800 --> 00:16:04,720 Speaker 1: research techniques to look at what do mutations and these 303 00:16:04,800 --> 00:16:08,360 Speaker 1: genes actually affect UM in the bloodstream? What is it? 304 00:16:08,600 --> 00:16:10,400 Speaker 1: What is that a cosmo to study? Is that what 305 00:16:10,440 --> 00:16:17,520 Speaker 1: you said? Did you call that a cosmo study? Yeah, 306 00:16:17,640 --> 00:16:20,280 Speaker 1: just looking at causal links as opposed to cause relation, 307 00:16:20,840 --> 00:16:23,960 Speaker 1: and what are causal links exactly? That's some scientists talk. 308 00:16:24,000 --> 00:16:28,440 Speaker 1: I don't understand. UM. A causal link is a lot 309 00:16:28,480 --> 00:16:31,480 Speaker 1: of times you look at say a knockout study using mice, 310 00:16:31,640 --> 00:16:34,360 Speaker 1: so they'll breed a line of mice where they actually 311 00:16:34,520 --> 00:16:37,440 Speaker 1: remove an entire gene from their genome, and then they 312 00:16:37,480 --> 00:16:40,600 Speaker 1: look at what is effective that can look at the 313 00:16:40,680 --> 00:16:44,960 Speaker 1: actual cause of those effects, whereas UM, that example that 314 00:16:45,000 --> 00:16:48,560 Speaker 1: I use with the diets, that's more just a correlation. UM, 315 00:16:48,560 --> 00:16:51,600 Speaker 1: it's looking at, well, these people lost weight and they 316 00:16:51,640 --> 00:16:56,200 Speaker 1: have this gene, so that's a correlation. It's not um 317 00:16:56,240 --> 00:17:01,520 Speaker 1: actually creating a link between them. It's just um, possibly connected. 318 00:17:01,560 --> 00:17:05,720 Speaker 1: Possibly not very interesting right there. One of the other 319 00:17:05,760 --> 00:17:08,119 Speaker 1: things that I found interesting on your guys website is 320 00:17:08,119 --> 00:17:11,520 Speaker 1: you guys do a personality DNA tests, which I always 321 00:17:11,560 --> 00:17:13,600 Speaker 1: found it. You'd be like, hell the hell can you 322 00:17:13,640 --> 00:17:17,040 Speaker 1: figure out someone's personality by their DNA? How did you 323 00:17:17,080 --> 00:17:23,040 Speaker 1: guys do this? Again, there's a surprising amount of research, UM, 324 00:17:23,080 --> 00:17:26,240 Speaker 1: those kind of correlation studies already out there in sort 325 00:17:26,240 --> 00:17:30,760 Speaker 1: of the the borderline of psychology and biology. UM, there's 326 00:17:30,800 --> 00:17:35,040 Speaker 1: a lot of ongoing research. And as you know, people 327 00:17:35,080 --> 00:17:39,280 Speaker 1: have been really interested in trying to define our personalities 328 00:17:39,359 --> 00:17:42,359 Speaker 1: for centuries. Um. You know, you can look all the 329 00:17:42,400 --> 00:17:46,800 Speaker 1: way back to ancient times and people are dividing people 330 00:17:46,840 --> 00:17:49,679 Speaker 1: into different groups based on their blood types, and all 331 00:17:49,760 --> 00:17:55,840 Speaker 1: kinds of research out there looking at things like extraversion 332 00:17:55,880 --> 00:17:59,680 Speaker 1: and introversion or you know, aggression and things like that. UM. 333 00:17:59,720 --> 00:18:02,320 Speaker 1: And again those are all correlation studies. They aren't causal 334 00:18:02,320 --> 00:18:04,720 Speaker 1: studies because obviously there are a lot of factors that 335 00:18:04,800 --> 00:18:08,520 Speaker 1: go into developing your personality. As you say these things 336 00:18:08,560 --> 00:18:10,520 Speaker 1: and I look at him, I mean, you know, you 337 00:18:10,520 --> 00:18:12,960 Speaker 1: could look at the skin you can say, oh, I 338 00:18:13,000 --> 00:18:15,520 Speaker 1: could be preventative on that. I could be preventative on 339 00:18:15,960 --> 00:18:18,960 Speaker 1: the fitness. That could be preventative on the nutrition. And 340 00:18:19,000 --> 00:18:21,480 Speaker 1: then you get to personality and as you say, you 341 00:18:21,560 --> 00:18:27,399 Speaker 1: see some similarities to aggression. Are who knows what it is, 342 00:18:27,560 --> 00:18:32,280 Speaker 1: but could that be something that taps into quote unquote 343 00:18:32,280 --> 00:18:36,080 Speaker 1: playing god, Like are you gonna treat something because you 344 00:18:36,200 --> 00:18:40,480 Speaker 1: found in their DNA that this is a personality trait 345 00:18:40,680 --> 00:18:43,720 Speaker 1: that could be made better? Like if I if we 346 00:18:43,840 --> 00:18:47,560 Speaker 1: found out that somebody had an aggressive behavior, could it 347 00:18:47,680 --> 00:18:50,560 Speaker 1: prevent them from being so aggressive if they're treating it 348 00:18:51,160 --> 00:18:54,600 Speaker 1: in a aggressive way, so to speak, to help them 349 00:18:54,600 --> 00:18:59,200 Speaker 1: not be so aggressive. I think at that point maybe 350 00:18:59,240 --> 00:19:02,320 Speaker 1: you should be seen like a psychologist or something if 351 00:19:02,400 --> 00:19:05,919 Speaker 1: your aggression is becoming that problematic. UM. I think the 352 00:19:05,960 --> 00:19:09,439 Speaker 1: personality test is really just more for fun UM. But 353 00:19:09,480 --> 00:19:11,680 Speaker 1: as far as the other tests go, I think it's 354 00:19:11,720 --> 00:19:14,800 Speaker 1: definitely a good way to find things that you want 355 00:19:14,840 --> 00:19:17,280 Speaker 1: to be keeping an eye on, things like cholesterol or 356 00:19:17,280 --> 00:19:19,840 Speaker 1: trackless rides. If you know that you have a genetic 357 00:19:19,840 --> 00:19:24,800 Speaker 1: predisposition towards developing something unhealthy, UM, it's a good thing 358 00:19:24,800 --> 00:19:25,920 Speaker 1: to have in the back of your mind and to 359 00:19:26,000 --> 00:19:28,760 Speaker 1: maybe chat with your doctor about more direct tests to 360 00:19:28,840 --> 00:19:31,480 Speaker 1: keep an eye on those actual levels. Yeah, it's it's 361 00:19:31,520 --> 00:19:33,760 Speaker 1: just I went a little dark or weird right there 362 00:19:33,800 --> 00:19:36,159 Speaker 1: because I was thinking, going, wow, can you imagine if 363 00:19:36,200 --> 00:19:38,800 Speaker 1: they're really able to test people's personalities that really helped 364 00:19:38,840 --> 00:19:41,520 Speaker 1: form them. Maybe what's You're right though? They kind of 365 00:19:41,560 --> 00:19:43,119 Speaker 1: do help form them when you do go see a 366 00:19:43,160 --> 00:19:46,399 Speaker 1: psychologist or a therapist, are you know whatever else that 367 00:19:46,480 --> 00:19:48,600 Speaker 1: you're doing, but this is being able to find out 368 00:19:48,600 --> 00:19:51,120 Speaker 1: through the DNA test. We're gonna take a break real quick, 369 00:19:51,119 --> 00:19:54,120 Speaker 1: comeback and the big one the ancestry which we've heard 370 00:19:54,160 --> 00:19:56,960 Speaker 1: everybody doing an ancestry one you could do yours here 371 00:19:57,440 --> 00:20:00,320 Speaker 1: with this company Dynamic DNA. And then we're to break 372 00:20:00,359 --> 00:20:02,680 Speaker 1: down the cannabis one a little bit more in detail. 373 00:20:03,000 --> 00:20:05,600 Speaker 1: When we come back. It's Cannabis Talk one oh one 374 00:20:05,600 --> 00:20:07,520 Speaker 1: with Glue and Joe Grande, who was number one source 375 00:20:07,560 --> 00:20:10,679 Speaker 1: for every d cannabis all the way live with not 376 00:20:10,840 --> 00:20:13,160 Speaker 1: the first scientist, but she's been there for five years. 377 00:20:13,240 --> 00:20:15,800 Speaker 1: Jen Dnsen right here on Cannabis Talk one oh one. 378 00:20:16,200 --> 00:20:21,840 Speaker 1: We'll be right back with Cannabis Talk one oh one. 379 00:20:26,680 --> 00:20:29,960 Speaker 1: Welcome back to Cannabis Talk one oh one Advanced New 380 00:20:30,000 --> 00:20:32,760 Speaker 1: Treats You guys has a complete growing system of cannabis 381 00:20:33,880 --> 00:20:36,480 Speaker 1: that you'll want to use. They optimize all phases and 382 00:20:36,520 --> 00:20:39,520 Speaker 1: cycles and bring your drop crops to their true genetic potential. 383 00:20:39,800 --> 00:20:42,080 Speaker 1: Discover more Advanced New Treats dot com. It's hard to 384 00:20:42,119 --> 00:20:44,000 Speaker 1: be out here at m J Bascom with all these wonderful, 385 00:20:44,000 --> 00:20:46,720 Speaker 1: beautiful people walking around and keep my eyes focused so 386 00:20:46,840 --> 00:20:49,639 Speaker 1: much it makes it funny right there. Staff names. I 387 00:20:49,680 --> 00:20:51,640 Speaker 1: want to thank everybody for being out here and helping 388 00:20:51,720 --> 00:20:55,760 Speaker 1: us out today. Daniel cal Christian A Christian s Danny 389 00:20:55,880 --> 00:21:01,120 Speaker 1: p Funk, Connor, jorgees Cigar, Jessica as Cash, cam Isaiah Dallas, 390 00:21:01,280 --> 00:21:06,480 Speaker 1: Eric Alexa, Sarah Jack, Jasmine Maddie, Jessica, pe Pianti, Selaar Wilson, 391 00:21:06,560 --> 00:21:11,040 Speaker 1: Ali Cousin, Ray Goldie, my brother, Pitt, Mark Karnes, Erica, Jennifer, 392 00:21:11,119 --> 00:21:14,160 Speaker 1: Chris Franchino, and Elvis. Thank you guys all for coming 393 00:21:14,200 --> 00:21:15,919 Speaker 1: out here and doing so much that you guys do 394 00:21:16,040 --> 00:21:18,360 Speaker 1: for us on this show. And Jen thank you so 395 00:21:18,440 --> 00:21:21,800 Speaker 1: much as well for taking a last minute call. I 396 00:21:21,840 --> 00:21:23,560 Speaker 1: don't even know if you're in their work. You know 397 00:21:23,600 --> 00:21:28,800 Speaker 1: they said put your damn uh zoom on because you're 398 00:21:28,840 --> 00:21:31,000 Speaker 1: gonna come on and do a show with us. And 399 00:21:31,080 --> 00:21:33,000 Speaker 1: not only that, Ry Norton was supposed to do it 400 00:21:33,080 --> 00:21:35,120 Speaker 1: with us. He also was gonna do the high five 401 00:21:35,119 --> 00:21:36,639 Speaker 1: with us. That's gonna be fun to have you do 402 00:21:36,720 --> 00:21:39,480 Speaker 1: this with us, Jen As we get there talking about 403 00:21:39,480 --> 00:21:43,280 Speaker 1: different things on your site. Right here, the ancestry one, 404 00:21:43,359 --> 00:21:45,840 Speaker 1: it seems like the ancestry one has been out for forever, 405 00:21:45,960 --> 00:21:49,879 Speaker 1: right ancestry this ancestry that is this what made you 406 00:21:49,880 --> 00:21:53,080 Speaker 1: guys get into dynamic? Is this what made dynamic DNA 407 00:21:53,480 --> 00:21:58,560 Speaker 1: go that way and then do other things? No, Actually, 408 00:21:58,600 --> 00:22:02,440 Speaker 1: our ancestry test was almost kind of an afterthought. UM. 409 00:22:02,560 --> 00:22:09,320 Speaker 1: We initially UM got into genetic testing through something called pharmacogenomics, 410 00:22:09,320 --> 00:22:14,560 Speaker 1: which looks at how you metabolize different classes of medications. UM. 411 00:22:14,920 --> 00:22:19,879 Speaker 1: So all of those are processed primarily by enzymes that 412 00:22:19,880 --> 00:22:24,760 Speaker 1: are coded by the cytochrome P genes UM, and that 413 00:22:24,880 --> 00:22:28,000 Speaker 1: can tell you, UM, if you're a fast metabolizer a 414 00:22:28,000 --> 00:22:32,440 Speaker 1: slow metabolizer of different classes of medication UM. And through 415 00:22:32,640 --> 00:22:34,840 Speaker 1: all of the lab work and the science of that, 416 00:22:34,920 --> 00:22:38,560 Speaker 1: we kind of expanded into all of these other tests UM. 417 00:22:38,680 --> 00:22:41,480 Speaker 1: And so ancestry is something that we have the ability 418 00:22:41,520 --> 00:22:43,840 Speaker 1: to run and a lot of people find it really 419 00:22:43,880 --> 00:22:47,840 Speaker 1: interesting and so we put our own test together. That 420 00:22:47,880 --> 00:22:49,639 Speaker 1: always makes it cool. I knew I did that, and 421 00:22:49,680 --> 00:22:52,240 Speaker 1: I was always surprised when that happened. I was like 422 00:22:52,320 --> 00:22:56,240 Speaker 1: forty six percent Native American Indian and you know this 423 00:22:56,640 --> 00:22:58,800 Speaker 1: this it's just so cool to get it done. And 424 00:22:58,880 --> 00:23:00,720 Speaker 1: the one thing that I actually had on my desk 425 00:23:00,760 --> 00:23:04,440 Speaker 1: that I didn't turn in was the cannabis DNA test. 426 00:23:04,520 --> 00:23:07,040 Speaker 1: And for those that are looking for the cannabis DNA tests, 427 00:23:07,400 --> 00:23:11,240 Speaker 1: hundred and twenty nine bucks on their website Dynamic Dna 428 00:23:11,400 --> 00:23:17,000 Speaker 1: Labs dot com. Discover your CBD and th HC metabolism 429 00:23:17,040 --> 00:23:21,560 Speaker 1: and potential side effects for cannabis use. What does that 430 00:23:21,640 --> 00:23:24,159 Speaker 1: mean right there? With side effects for cannabis use and 431 00:23:24,240 --> 00:23:28,760 Speaker 1: of course figuring out your CBD and th HC metabalism. 432 00:23:29,040 --> 00:23:34,760 Speaker 1: Why does somebody want to know that? So the most 433 00:23:34,880 --> 00:23:39,600 Speaker 1: important thing I think about when I am considering using 434 00:23:39,680 --> 00:23:42,639 Speaker 1: a cannabis product is how much CBD it has, how 435 00:23:42,720 --> 00:23:45,040 Speaker 1: much t HC it has, because a lot of people 436 00:23:45,160 --> 00:23:48,840 Speaker 1: metabolize those differently, so they might be a really fast 437 00:23:48,920 --> 00:23:51,520 Speaker 1: metabolizer of th HC, so that's going to move through 438 00:23:51,520 --> 00:23:54,840 Speaker 1: their system a lot faster UM, but they might be 439 00:23:54,920 --> 00:23:58,159 Speaker 1: a slower metabolizer for CBD, so those CBD chemicals are 440 00:23:58,200 --> 00:24:01,720 Speaker 1: gonna sit in their system and maintain those effects for 441 00:24:01,840 --> 00:24:05,159 Speaker 1: longer UM. So, especially if you're a new user of 442 00:24:05,200 --> 00:24:08,679 Speaker 1: a cannabis product, UM, it might be helpful to you 443 00:24:08,760 --> 00:24:11,080 Speaker 1: to have that knowledge going in so you don't get 444 00:24:11,080 --> 00:24:15,400 Speaker 1: surprised by the effects of whatever you're using. As you've 445 00:24:15,480 --> 00:24:19,320 Speaker 1: noticed and done these tests. Is there a balance of 446 00:24:19,359 --> 00:24:25,000 Speaker 1: saying this is what the body should use. The vast 447 00:24:25,080 --> 00:24:27,520 Speaker 1: majority of people are going to be kind of an 448 00:24:27,560 --> 00:24:31,679 Speaker 1: average metabolizer of both of these UM, but it's really 449 00:24:31,880 --> 00:24:38,879 Speaker 1: if you aren't an average metabolizer, the not very fun 450 00:24:39,040 --> 00:24:41,399 Speaker 1: and so it's good to know that ahead of time. 451 00:24:42,000 --> 00:24:44,080 Speaker 1: Is once you do one of these, would you be 452 00:24:44,160 --> 00:24:46,679 Speaker 1: able to find out if your quote unquote a lightweight 453 00:24:47,080 --> 00:24:53,000 Speaker 1: are a heavyweight cannabis consumer. Yeah, definitely, although that really 454 00:24:53,040 --> 00:24:55,840 Speaker 1: doesn't take into account. UM. If you've been using for 455 00:24:55,880 --> 00:24:57,960 Speaker 1: a long time, you do get kind of acclimated to 456 00:24:58,080 --> 00:25:00,960 Speaker 1: it and your tolerance goes up. But it definitely if 457 00:25:00,960 --> 00:25:03,960 Speaker 1: it's if you're a new user, UM, you can that's 458 00:25:04,000 --> 00:25:06,200 Speaker 1: something that you can kind of find out. Yeah, for sure. 459 00:25:06,320 --> 00:25:09,240 Speaker 1: One thing I love looking at this is potential side 460 00:25:09,240 --> 00:25:12,440 Speaker 1: effects from cannabis use. What are some of these side 461 00:25:12,440 --> 00:25:14,960 Speaker 1: effects from cannabis used that you guys are able to 462 00:25:15,000 --> 00:25:20,359 Speaker 1: discover over there at dynamic DNA. Yeah. The three side 463 00:25:20,359 --> 00:25:23,280 Speaker 1: effects that we UM test force sort of a predisposition 464 00:25:23,359 --> 00:25:28,480 Speaker 1: or proclivity for our memory impairment UM cannabis dependent as 465 00:25:28,480 --> 00:25:33,560 Speaker 1: well as UM possible psychosis for marijuana use. And once 466 00:25:33,600 --> 00:25:35,879 Speaker 1: you find out if you have something like this in 467 00:25:35,920 --> 00:25:39,080 Speaker 1: your system, right, so I take the test and it 468 00:25:39,200 --> 00:25:42,320 Speaker 1: says you do have these three elements, would that be 469 00:25:42,440 --> 00:25:46,040 Speaker 1: something to consider not using cannabis over because it affects 470 00:25:46,040 --> 00:25:51,040 Speaker 1: your body that way. UM. I think for me personally, 471 00:25:51,119 --> 00:25:54,320 Speaker 1: if I found out, you know, UM, that those were 472 00:25:54,359 --> 00:25:56,399 Speaker 1: things that I was likely to experience, I think I 473 00:25:56,400 --> 00:26:00,760 Speaker 1: would just start at a much lower dose UM before 474 00:26:01,600 --> 00:26:04,639 Speaker 1: before increasing and kind of gauge my reaction to it. 475 00:26:04,800 --> 00:26:07,120 Speaker 1: For sure. UM. It's it's kind of a personal call 476 00:26:07,200 --> 00:26:10,119 Speaker 1: on how how nervous he might be about that. And 477 00:26:10,280 --> 00:26:12,520 Speaker 1: not only that, as you say, docying and you look 478 00:26:12,560 --> 00:26:14,880 Speaker 1: at that. I've always sold people and we preach it here. 479 00:26:15,240 --> 00:26:18,720 Speaker 1: It's always about micro docy never going too strong, never 480 00:26:18,800 --> 00:26:22,000 Speaker 1: going too hard, never going too fast, take your time 481 00:26:22,040 --> 00:26:25,199 Speaker 1: with it and making sure that you start slow, especially 482 00:26:25,280 --> 00:26:28,360 Speaker 1: when you're doing an edible or concentrate, because you never 483 00:26:28,400 --> 00:26:29,639 Speaker 1: want to go too hard. But if you want to 484 00:26:29,640 --> 00:26:31,960 Speaker 1: do this DNA one, something that we want to get 485 00:26:32,000 --> 00:26:34,080 Speaker 1: to with all of our guests, Jen is we like 486 00:26:34,160 --> 00:26:36,600 Speaker 1: to do the high five. And considering that you're a scientist, 487 00:26:36,880 --> 00:26:38,520 Speaker 1: it kind of gets me a little geeky to do 488 00:26:38,560 --> 00:26:41,840 Speaker 1: this with you because I'm like, hmmm, does she use cannabis? 489 00:26:41,840 --> 00:26:47,200 Speaker 1: So off the top, Jen Denson, do you use cannabis? Great? 490 00:26:47,280 --> 00:26:50,440 Speaker 1: Then this this makes for a good one then, uh, 491 00:26:50,600 --> 00:26:54,320 Speaker 1: Jen Denson from over there at DNA Labs. Um, how 492 00:26:54,359 --> 00:26:56,359 Speaker 1: old are you the first time you smoke cannabis? And 493 00:26:56,359 --> 00:27:00,800 Speaker 1: where'd you get it from? Oh, wasn't until I was 494 00:27:00,840 --> 00:27:04,160 Speaker 1: in college. I was. I was a nerdy indoor kid 495 00:27:04,400 --> 00:27:07,320 Speaker 1: in high school, so it wasn't until I was in college. Um, 496 00:27:07,359 --> 00:27:09,640 Speaker 1: I'm pretty sure it was like my first college boyfriends. 497 00:27:10,480 --> 00:27:12,200 Speaker 1: So it was your first college boyfriend. You remember where 498 00:27:12,200 --> 00:27:13,480 Speaker 1: you at were in the dorms or where were you 499 00:27:13,480 --> 00:27:16,919 Speaker 1: guys at? Yeah, we were. So I first went to 500 00:27:17,000 --> 00:27:24,560 Speaker 1: a college. That that was Uh, there were single sex dorms, 501 00:27:24,840 --> 00:27:29,199 Speaker 1: so um, everyone, if you went to hang out with 502 00:27:29,560 --> 00:27:31,840 Speaker 1: you know, your boyfriend or friends of the opposite sex 503 00:27:31,920 --> 00:27:35,479 Speaker 1: or something, you had to go outside. Um. And so 504 00:27:35,560 --> 00:27:38,800 Speaker 1: I'm pretty sure the first time I ever smoked, I 505 00:27:38,840 --> 00:27:41,960 Speaker 1: was literally sitting in a ditch behind a parking lot 506 00:27:42,680 --> 00:27:46,359 Speaker 1: in the grass. Oh my goodness, that's so fun to 507 00:27:46,400 --> 00:27:48,560 Speaker 1: think about that. Isn't it so great to go back 508 00:27:48,560 --> 00:27:50,199 Speaker 1: to Jennago? Oh my god? Why was I doing it 509 00:27:50,280 --> 00:27:53,879 Speaker 1: in a ditch? Question the High five with Jed Dason 510 00:27:53,960 --> 00:27:57,680 Speaker 1: that dynamic DNA A leite scientists. What is your favorite 511 00:27:57,720 --> 00:28:04,159 Speaker 1: way to use cannabis? M I'm sorry you cut out 512 00:28:04,160 --> 00:28:09,840 Speaker 1: a little. What is your favorite way to use cannabis? Oh? Gummies? 513 00:28:09,880 --> 00:28:14,400 Speaker 1: Definitely gummies. Being a senior scientist, do you find that 514 00:28:15,160 --> 00:28:18,359 Speaker 1: gummies are better for you or do you say it 515 00:28:18,480 --> 00:28:21,240 Speaker 1: just because it's your preference or do you have inside 516 00:28:21,640 --> 00:28:27,520 Speaker 1: scientist information. I like that I can really control my 517 00:28:27,640 --> 00:28:31,000 Speaker 1: dosage um, and that may be kind of part of 518 00:28:31,200 --> 00:28:33,880 Speaker 1: the scientist in me. I can know exactly how many 519 00:28:33,880 --> 00:28:37,040 Speaker 1: milligrams I'm taking. UM. But also I was just never 520 00:28:37,160 --> 00:28:39,200 Speaker 1: very good at smoking. I was always the girl who 521 00:28:39,280 --> 00:28:42,400 Speaker 1: embarrassed herself by just coughing all over the place whenever 522 00:28:42,680 --> 00:28:45,680 Speaker 1: you know, it got past to me, so I don't 523 00:28:45,680 --> 00:28:48,680 Speaker 1: have to worry about that with the gummy And is 524 00:28:48,680 --> 00:28:52,160 Speaker 1: it gummy daytime, nighttime or any time, just whenever it's 525 00:28:52,240 --> 00:28:56,880 Speaker 1: right for you. Mostly nighttime. It helps me a lot 526 00:28:56,920 --> 00:29:01,720 Speaker 1: with anxiety and sleeping and just um just chilling out basically, 527 00:29:01,960 --> 00:29:04,880 Speaker 1: so usually when I get home from work and at night, 528 00:29:05,080 --> 00:29:08,239 Speaker 1: so that's always a good thing. I don't know if 529 00:29:08,280 --> 00:29:10,840 Speaker 1: it's going to be the ditch, but question number three 530 00:29:10,840 --> 00:29:14,360 Speaker 1: of the high five, what is your craziest place that 531 00:29:14,440 --> 00:29:24,360 Speaker 1: you ever used our smoked cannabis? Oh um. Being in Missouri, 532 00:29:24,400 --> 00:29:27,520 Speaker 1: we have a lot of rural areas, so just being 533 00:29:29,080 --> 00:29:31,040 Speaker 1: their number of times that was just out in the 534 00:29:31,040 --> 00:29:33,360 Speaker 1: woods in the middle of nowhere. And then you know, 535 00:29:33,480 --> 00:29:36,400 Speaker 1: twenty minutes after you smoke, you start hearing kyotes screaming 536 00:29:36,640 --> 00:29:41,240 Speaker 1: and get weired out. And yeah, there were a number 537 00:29:44,880 --> 00:29:47,840 Speaker 1: And again, what was I doing? I don't know. It 538 00:29:48,000 --> 00:29:50,760 Speaker 1: is funny. My wife's from Kansas and when I've been 539 00:29:50,800 --> 00:29:52,560 Speaker 1: back there, and I've been to Missouri a few times 540 00:29:52,560 --> 00:29:54,720 Speaker 1: to state line to go to some weddings and whatnot, 541 00:29:55,080 --> 00:29:57,720 Speaker 1: it always it makes me a little spooky too, because 542 00:29:57,720 --> 00:29:59,760 Speaker 1: it makes me feel like I'm in the middle of nowhere, 543 00:30:00,280 --> 00:30:02,640 Speaker 1: because that's what it feels like. Missouri and Kansas is 544 00:30:02,680 --> 00:30:05,400 Speaker 1: out there the middle of America, and you're kind of 545 00:30:05,400 --> 00:30:07,760 Speaker 1: in the middle of nowhere, even though America is so 546 00:30:07,840 --> 00:30:10,640 Speaker 1: big that, you know, being out in the field like 547 00:30:10,680 --> 00:30:14,480 Speaker 1: that with coyotes definitely sounds crazy. Question number four The 548 00:30:14,560 --> 00:30:18,520 Speaker 1: High Five senior scientists Jen Dnson from Dynamic DNA. What 549 00:30:18,680 --> 00:30:21,880 Speaker 1: is your go to Munchie's after you get high? When 550 00:30:21,880 --> 00:30:27,160 Speaker 1: you go to Dillon's out there to shop? Oh? Either uh, 551 00:30:27,560 --> 00:30:32,120 Speaker 1: sour cream and onion pringles or white shutter popcorn. I 552 00:30:32,200 --> 00:30:35,240 Speaker 1: love how specific you are with what you like right there. 553 00:30:35,280 --> 00:30:38,640 Speaker 1: That is so key and knowing your palette right you're like, No, 554 00:30:38,800 --> 00:30:41,560 Speaker 1: I like this one and that one. Those are two 555 00:30:41,560 --> 00:30:45,160 Speaker 1: good ones. Question number five Jan of the High Five. 556 00:30:45,200 --> 00:30:48,800 Speaker 1: If you could smoke cannabis with anyone dead are alive, 557 00:30:49,320 --> 00:30:53,640 Speaker 1: who would it be and why? Oh? Oh, that's a 558 00:30:53,720 --> 00:30:57,200 Speaker 1: good one. Um, I am not prepared for that question. 559 00:30:57,280 --> 00:31:04,440 Speaker 1: Oh it's a deep one, right it is. Yeah, you 560 00:31:04,480 --> 00:31:06,480 Speaker 1: know what I would have to say. My oldest sister, 561 00:31:06,640 --> 00:31:09,520 Speaker 1: she passed away several years ago, and we were never 562 00:31:10,360 --> 00:31:13,560 Speaker 1: super close because she was a lot older than me, 563 00:31:13,640 --> 00:31:17,400 Speaker 1: and so I never really got to see her let 564 00:31:17,480 --> 00:31:20,640 Speaker 1: her hair down and be wild and crazy. So I 565 00:31:20,680 --> 00:31:25,080 Speaker 1: would love to have that experience with Wow, Jen, that 566 00:31:25,200 --> 00:31:26,920 Speaker 1: was deep. You just took me on a left turn 567 00:31:27,040 --> 00:31:28,880 Speaker 1: right there. I gotta ask how she passed and how 568 00:31:28,920 --> 00:31:30,600 Speaker 1: many years ago was she older than you? I'm sorry 569 00:31:30,640 --> 00:31:35,680 Speaker 1: to hear that, Thank you. It was a heart attack, um, 570 00:31:35,760 --> 00:31:39,200 Speaker 1: and it was she was fifty six at the time. Um, 571 00:31:39,240 --> 00:31:42,480 Speaker 1: so it was a little unexpected and sudden. You know, 572 00:31:42,760 --> 00:31:45,600 Speaker 1: I've been thinking about heart attacks recently and just people 573 00:31:45,640 --> 00:31:48,840 Speaker 1: that passed. I just feel like you never know, right, 574 00:31:48,920 --> 00:31:51,640 Speaker 1: I mean, this is your older sister, and your mom 575 00:31:51,680 --> 00:31:56,640 Speaker 1: and pops are still around. Yep, they are. And I 576 00:31:56,800 --> 00:31:59,040 Speaker 1: just think what they had to go through and do that, 577 00:31:59,120 --> 00:32:02,200 Speaker 1: and you never got a chance to have you smoked 578 00:32:02,240 --> 00:32:04,280 Speaker 1: with your mother and father? Are do you snip slip 579 00:32:04,360 --> 00:32:08,560 Speaker 1: and edible in there for them? No? They you know 580 00:32:08,640 --> 00:32:11,680 Speaker 1: that that might help them out a lot, actually, Um, 581 00:32:11,920 --> 00:32:15,240 Speaker 1: but no, I've never smoked with my parents. They're they're 582 00:32:15,240 --> 00:32:18,680 Speaker 1: pretty straight. Lace. I'm wondering because you're from Missouri and 583 00:32:18,680 --> 00:32:20,440 Speaker 1: I could just have a feeling that your parents were 584 00:32:20,480 --> 00:32:22,960 Speaker 1: straight laced like that. What do they think about you 585 00:32:23,080 --> 00:32:26,160 Speaker 1: doing these Dynamic d N A in this cannabis lab jestion? 586 00:32:26,240 --> 00:32:28,800 Speaker 1: And what do you mean you like edibles? How do 587 00:32:28,920 --> 00:32:30,720 Speaker 1: they react to the whole cannabis thing and now that 588 00:32:30,760 --> 00:32:34,840 Speaker 1: it's legal over there in Missouri? You know, I actually 589 00:32:34,880 --> 00:32:37,400 Speaker 1: I haven't had a chance to talk with them since um, 590 00:32:37,440 --> 00:32:42,520 Speaker 1: the the election, the when it passed UM. I imagine 591 00:32:43,800 --> 00:32:46,240 Speaker 1: they would probably just kind of roll their eyes in me. Honestly, 592 00:32:46,520 --> 00:32:51,000 Speaker 1: they know who they raised. They're like, wait a minute, 593 00:32:51,040 --> 00:32:52,800 Speaker 1: where did you start doing that? You've been out with 594 00:32:52,800 --> 00:32:57,600 Speaker 1: there with them damn coyotes. No more smoking out there. Well, Jen, 595 00:32:57,720 --> 00:32:59,560 Speaker 1: thank you so much for coming on with us and 596 00:32:59,600 --> 00:33:02,120 Speaker 1: pivot in and being ready to take over for RYE. Norton, 597 00:33:02,200 --> 00:33:04,560 Speaker 1: the first scientist that was there. But now you are 598 00:33:04,640 --> 00:33:08,320 Speaker 1: also a senior scientist at Dynamic DNA. So many great 599 00:33:08,360 --> 00:33:09,920 Speaker 1: tests you want to get and go to, but if 600 00:33:09,920 --> 00:33:13,440 Speaker 1: you're really looking for that cannabis DNA test, discover your 601 00:33:13,480 --> 00:33:16,720 Speaker 1: cb D and th h C metabolism and potential side 602 00:33:16,720 --> 00:33:21,160 Speaker 1: effects of the cannabis use, dosing and product selection guidelines. 603 00:33:21,640 --> 00:33:24,440 Speaker 1: So many more things that you can do at this 604 00:33:24,600 --> 00:33:28,240 Speaker 1: location which would just help you, I mean, and it's small. 605 00:33:28,320 --> 00:33:30,000 Speaker 1: They just mail out a kit to you. If I'm 606 00:33:30,040 --> 00:33:32,640 Speaker 1: not mistaken, correct me if I'm wrong, Jenn mail out 607 00:33:32,640 --> 00:33:34,480 Speaker 1: of kit to you. You put the two swabs in 608 00:33:34,520 --> 00:33:36,760 Speaker 1: your mouth, wipe the inside of your cheek, put them 609 00:33:36,760 --> 00:33:38,800 Speaker 1: back in. It's all right there. You mail it right 610 00:33:38,800 --> 00:33:42,360 Speaker 1: back and then you get your results online. Yeah, that's 611 00:33:42,400 --> 00:33:45,880 Speaker 1: exactly it. And then you can get everything downloaded. You 612 00:33:45,880 --> 00:33:48,200 Speaker 1: can know what your body can and cannot do, can 613 00:33:48,200 --> 00:33:50,479 Speaker 1: and cannot do. Is there anything that we forgot to 614 00:33:50,480 --> 00:33:54,240 Speaker 1: mention for you guys, Jen and your company? No, No, 615 00:33:54,480 --> 00:33:56,600 Speaker 1: you coming everything. You really didn't. You're more parent than 616 00:33:56,680 --> 00:33:59,479 Speaker 1: I was. Well, I was trying to be a little bit. 617 00:33:59,480 --> 00:34:01,000 Speaker 1: Thank you so much for coming on the show. It 618 00:34:01,080 --> 00:34:03,560 Speaker 1: does you guys, Just Joe Grande's Blue We're hanging out 619 00:34:03,920 --> 00:34:07,600 Speaker 1: over here at m J Biscon two's Cannabis Talk one 620 00:34:07,600 --> 00:34:12,440 Speaker 1: oh one and remember this Goldie if nobody else left you. 621 00:34:11,200 --> 00:34:14,839 Speaker 1: We thank you for listening to Cannabis Talk one oh 622 00:34:14,920 --> 00:34:17,840 Speaker 1: one on the I Heart Radio app, Apple podcast or 623 00:34:17,880 --> 00:34:19,560 Speaker 1: wherever you get your podcasts.