1 00:00:03,000 --> 00:00:06,040 Speaker 1: It's now time for Cannabis Talk one oh one with Blue, 2 00:00:06,360 --> 00:00:09,720 Speaker 1: Joe Grande and Mark and Craig Wasserman the Pot Brothers 3 00:00:09,720 --> 00:00:13,560 Speaker 1: at Law. We're the world's number one podcast for everything cannabis. 4 00:00:13,880 --> 00:00:16,560 Speaker 1: Welcome to this Talk one oh one. Blue, your way 5 00:00:16,600 --> 00:00:18,560 Speaker 1: out of the studio. It doesn't sound good if you 6 00:00:18,600 --> 00:00:21,279 Speaker 1: started job, don't get it, don't get upset, don't get mad. 7 00:00:21,320 --> 00:00:24,040 Speaker 1: But if you're in a car movie, it sounds like crap. 8 00:00:24,360 --> 00:00:26,000 Speaker 1: You know what I mean? Bottom line, you sound like 9 00:00:26,079 --> 00:00:28,120 Speaker 1: crap there and you've got somebody jumping on your back 10 00:00:28,400 --> 00:00:31,400 Speaker 1: stealing your wallet behind you. I don't want to do that. 11 00:00:31,440 --> 00:00:34,760 Speaker 1: Frank Keno is over there with his Miami Vice fucking 12 00:00:34,800 --> 00:00:37,640 Speaker 1: shirt on. You guys look like tourists and I love it's. 13 00:00:37,880 --> 00:00:40,800 Speaker 1: Welcome to the show, you guys, Thank you for this. 14 00:00:40,880 --> 00:00:43,840 Speaker 1: Here the Cannabis Talk one on the podcast the world 15 00:00:43,840 --> 00:00:46,120 Speaker 1: famous Pot Brothers at Law. It's one of them little brothers. 16 00:00:46,120 --> 00:00:48,239 Speaker 1: I'm here, I'm here. Mark Washerman is hanging out with 17 00:00:48,280 --> 00:00:50,120 Speaker 1: us big brothers in Big Bear, and I hope he 18 00:00:50,120 --> 00:00:52,720 Speaker 1: doesn't get caught up in these fires, which you know 19 00:00:52,760 --> 00:00:54,720 Speaker 1: what I wanted to tell him earlier. I think it's 20 00:00:54,720 --> 00:00:57,920 Speaker 1: the stupidest thing he's done in a long time. Yeah, 21 00:00:58,000 --> 00:01:01,520 Speaker 1: going straight into the fires. He's going straight with the fire. 22 00:01:00,960 --> 00:01:04,920 Speaker 1: He's pretending since he's always scared, he's pretending he's a firefight, 23 00:01:05,000 --> 00:01:08,080 Speaker 1: especially since he's always scared. You're right. Can you turn 24 00:01:08,120 --> 00:01:10,559 Speaker 1: your phone long ways? Blues? You're full in the screen, please? 25 00:01:10,800 --> 00:01:13,520 Speaker 1: Maybe I thought you've been here before. Huh. And Blue 26 00:01:13,800 --> 00:01:16,600 Speaker 1: is out of town right now for the first time 27 00:01:17,080 --> 00:01:20,280 Speaker 1: doing the show via remote and we can't just get 28 00:01:20,319 --> 00:01:25,320 Speaker 1: it right. And you look at him and upside down backwards, 29 00:01:25,319 --> 00:01:27,319 Speaker 1: just watch you on the screen full screen behind me 30 00:01:27,319 --> 00:01:30,160 Speaker 1: and in front of me. Blue, tell us what you're 31 00:01:30,160 --> 00:01:33,080 Speaker 1: doing out there in Florida. You know what? Actually, we're 32 00:01:33,080 --> 00:01:36,080 Speaker 1: out here with the gods from gig Skills good uh 33 00:01:36,360 --> 00:01:40,119 Speaker 1: CBD brand over here and they have a store chaining 34 00:01:40,160 --> 00:01:43,240 Speaker 1: stores on Florida that they're working on. And you know, 35 00:01:43,319 --> 00:01:46,959 Speaker 1: we're just in uh decent consulting with them, helping Mountain 36 00:01:47,160 --> 00:01:50,840 Speaker 1: put together some creative ideas that kind of brainstorm and 37 00:01:51,080 --> 00:01:55,920 Speaker 1: mastermind on putting together this uh this awesome rollout. Cool. Well, 38 00:01:55,960 --> 00:01:58,200 Speaker 1: they've been doing some good things. Where is their location 39 00:01:58,240 --> 00:02:02,200 Speaker 1: out there in Florida? Uh? There in location in Florida. 40 00:02:02,560 --> 00:02:04,800 Speaker 1: Is is anybody here to tell me my screen doesn't 41 00:02:04,840 --> 00:02:07,920 Speaker 1: look weird when it sideways or what you gotta do 42 00:02:08,240 --> 00:02:10,320 Speaker 1: the home screen. You gotta fix it from the home screen. 43 00:02:10,360 --> 00:02:14,560 Speaker 1: It's us your error from the whole street. You gotta 44 00:02:14,600 --> 00:02:16,400 Speaker 1: hit that little round button and then it'll fix it. 45 00:02:16,480 --> 00:02:19,200 Speaker 1: Say something, I said it from the Jump street. Dog. 46 00:02:19,680 --> 00:02:21,359 Speaker 1: I thought Peanut would have fixed it from the beginning 47 00:02:21,360 --> 00:02:23,880 Speaker 1: when you guys tested it. But obviously he didn't test 48 00:02:23,880 --> 00:02:25,240 Speaker 1: it right with you. He didn't treat you like a 49 00:02:25,240 --> 00:02:27,840 Speaker 1: normal guest, you know, I mean, he treated you like 50 00:02:28,120 --> 00:02:31,240 Speaker 1: you supposed to know what you're doing. Yeah, way to go, Peanut, 51 00:02:31,280 --> 00:02:34,960 Speaker 1: I blame you for that. Where are the locations at 52 00:02:35,000 --> 00:02:41,960 Speaker 1: in Florida? Yeah? Well, uh, where are the locations in Florida? For? Uh? 53 00:02:42,280 --> 00:02:49,280 Speaker 1: Dis good? Nine East Commercial Boulevard for Laudadelle, Florida. I 54 00:02:49,280 --> 00:02:51,600 Speaker 1: know that, I know East Commercial Boulevard. Really, Why is 55 00:02:51,639 --> 00:02:54,280 Speaker 1: there a lot of prostitutes over there or something? Well, 56 00:02:54,280 --> 00:02:58,480 Speaker 1: there were massage parlors back in the day. They're in 57 00:02:58,560 --> 00:03:01,320 Speaker 1: sweet A. It's a nice you can't miss it, you know, 58 00:03:04,440 --> 00:03:09,200 Speaker 1: down in the street. Goodbye, Yeah, see you later, Blue, 59 00:03:09,240 --> 00:03:11,200 Speaker 1: have a good time out there. Your phone's cutting out. 60 00:03:11,240 --> 00:03:13,840 Speaker 1: You sound uh like you're going through you know, if 61 00:03:13,840 --> 00:03:16,520 Speaker 1: you're looking at we're looking at a red car. You know. 62 00:03:16,960 --> 00:03:19,560 Speaker 1: It's okay. We love you, hear you. We can't see you, 63 00:03:19,639 --> 00:03:21,400 Speaker 1: but we love you when we know you're out there. 64 00:03:21,440 --> 00:03:24,520 Speaker 1: And now you disconnected. So now that he's gone, don't 65 00:03:24,560 --> 00:03:26,920 Speaker 1: worry about it, pit Let him, let him be, let 66 00:03:27,000 --> 00:03:31,480 Speaker 1: him be, let him be, let him be. Don't worry. Honestly, 67 00:03:31,560 --> 00:03:33,080 Speaker 1: you know that doesn't matter. We don't need to call 68 00:03:33,160 --> 00:03:37,120 Speaker 1: him back because Florida. So Mark, it's just you and 69 00:03:37,160 --> 00:03:39,160 Speaker 1: I today, and I am excited to be a part 70 00:03:39,200 --> 00:03:40,840 Speaker 1: of the show with you. Is there's so much things 71 00:03:40,880 --> 00:03:43,920 Speaker 1: going on in the world of cannabis where I got 72 00:03:44,000 --> 00:03:47,040 Speaker 1: some great stories that are going green. And I know 73 00:03:47,120 --> 00:03:49,560 Speaker 1: you have a bunch of stories and possibly some news 74 00:03:50,040 --> 00:03:51,960 Speaker 1: and some questions. So what do you got locked up? 75 00:03:52,440 --> 00:03:55,880 Speaker 1: So first I want to ask you a question. Okay, 76 00:03:56,120 --> 00:03:59,040 Speaker 1: well that's odd and just asking yourself for you're actually 77 00:03:59,040 --> 00:04:04,040 Speaker 1: ask me. I'm gonna ask you. And this current events. 78 00:04:04,440 --> 00:04:08,640 Speaker 1: You know, there's things currently happening right now, and a 79 00:04:08,680 --> 00:04:12,000 Speaker 1: lot of things are happening with our president. He's saying, 80 00:04:12,280 --> 00:04:14,000 Speaker 1: he's saying a lot of things. A lot of things 81 00:04:14,000 --> 00:04:16,640 Speaker 1: have recently come out. Now, one of the things that 82 00:04:16,720 --> 00:04:20,000 Speaker 1: he's been saying is there's going to be a vaccine 83 00:04:20,800 --> 00:04:28,000 Speaker 1: before the election. If there is a vaccine, six of 84 00:04:28,040 --> 00:04:31,960 Speaker 1: the country right now, in a poll that I heard 85 00:04:31,960 --> 00:04:36,360 Speaker 1: when I was listening to the news, six of Americans 86 00:04:36,480 --> 00:04:41,560 Speaker 1: feel that if a vaccine comes out before the election 87 00:04:41,960 --> 00:04:45,680 Speaker 1: that it will have been rushed for political reasons. So 88 00:04:45,760 --> 00:04:48,840 Speaker 1: my question to you is, if a vaccine does come 89 00:04:48,839 --> 00:04:52,000 Speaker 1: out before the election, are you and your family going 90 00:04:52,040 --> 00:04:55,239 Speaker 1: to take it. I'm gonna do everything in my power 91 00:04:55,839 --> 00:04:59,080 Speaker 1: not to take it, because I agree with that sixt 92 00:05:00,279 --> 00:05:02,800 Speaker 1: from the research that I've heard, and uh, you know, 93 00:05:02,839 --> 00:05:05,360 Speaker 1: my wife's a doctor as well. It takes a lot 94 00:05:05,480 --> 00:05:09,920 Speaker 1: longer to find good quality, uh you know, something that's 95 00:05:09,920 --> 00:05:13,520 Speaker 1: gonna work with research behind it, rather than something that 96 00:05:13,560 --> 00:05:17,000 Speaker 1: they are doing. I find it ridiculous. I find it 97 00:05:17,040 --> 00:05:20,480 Speaker 1: to be exactly that something to make Trump look better 98 00:05:20,960 --> 00:05:23,240 Speaker 1: when right now, in my book, Trump looks as bad 99 00:05:23,240 --> 00:05:26,840 Speaker 1: as he can be, and his main supporters, if they're 100 00:05:26,839 --> 00:05:29,760 Speaker 1: still looking at him like he's the guy they thought 101 00:05:29,800 --> 00:05:32,440 Speaker 1: he was, you're as blind and as death and you're 102 00:05:32,440 --> 00:05:36,039 Speaker 1: actually not as blind, you're as deaf deaf as any 103 00:05:36,120 --> 00:05:38,520 Speaker 1: as Helen Keller was. It's coming right out of his mouth. 104 00:05:39,200 --> 00:05:41,440 Speaker 1: And the fake news that people going, oh, that's just fake. 105 00:05:41,520 --> 00:05:43,880 Speaker 1: Oh they're just bringing that out because you heard the 106 00:05:43,880 --> 00:05:47,080 Speaker 1: man say these words, and you heard the man say 107 00:05:47,120 --> 00:05:49,120 Speaker 1: he knew it was gonna be crazier and he wasn't 108 00:05:49,160 --> 00:05:52,120 Speaker 1: gonna do much about it. So there's just so many 109 00:05:52,160 --> 00:05:54,560 Speaker 1: crazy things. And not to get on that side subject 110 00:05:54,600 --> 00:05:57,680 Speaker 1: which you just love debate me in on and go 111 00:05:57,839 --> 00:06:01,480 Speaker 1: off on the sun and will both go crazy about them, 112 00:06:01,480 --> 00:06:06,280 Speaker 1: But to discuss the would I take the shot if 113 00:06:06,400 --> 00:06:09,279 Speaker 1: I don't have to, I won't. If my kids don't 114 00:06:09,480 --> 00:06:12,800 Speaker 1: have to because of school, I will not be one 115 00:06:12,800 --> 00:06:15,320 Speaker 1: of the first just say yes I will. But if 116 00:06:15,360 --> 00:06:19,040 Speaker 1: you have to in order to go to class, then 117 00:06:19,320 --> 00:06:22,640 Speaker 1: my kids have to go to class. That's a that's 118 00:06:22,640 --> 00:06:24,560 Speaker 1: gonna be a tough one. How are you looking at this? 119 00:06:24,600 --> 00:06:26,880 Speaker 1: What do you think? I mean? I feel the same 120 00:06:26,920 --> 00:06:31,040 Speaker 1: way that if if we see something coming out that quickly, 121 00:06:31,360 --> 00:06:37,919 Speaker 1: it's it's rushed. And and interestingly enough, um recently a 122 00:06:38,040 --> 00:06:41,280 Speaker 1: letter was written and posted I forget where, but it 123 00:06:41,320 --> 00:06:45,120 Speaker 1: was signed by like eight CEOs of big pharmac companies 124 00:06:45,320 --> 00:06:48,960 Speaker 1: Johnson and Johnson and all these other ones. It's saying 125 00:06:49,000 --> 00:06:52,000 Speaker 1: that we are not rushing this, and one of one 126 00:06:52,040 --> 00:06:54,880 Speaker 1: of the companies just stopped the test because one person 127 00:06:55,160 --> 00:06:58,880 Speaker 1: had some unexplained illness. Yeah, well inflammation is what I heard, 128 00:06:58,880 --> 00:07:01,320 Speaker 1: like in the lungs or something thing like that. And 129 00:07:01,360 --> 00:07:04,880 Speaker 1: so it appears. And it's funny too because you got 130 00:07:05,000 --> 00:07:08,839 Speaker 1: Big Farmer saying no, we don't, we don't want, and 131 00:07:08,839 --> 00:07:11,400 Speaker 1: big Farmers the first to jump on everything and go, yes, 132 00:07:11,520 --> 00:07:14,040 Speaker 1: let's do it. It's probably Bill Gates company that's gonna 133 00:07:14,080 --> 00:07:15,800 Speaker 1: come out with us first, because he was the one 134 00:07:16,080 --> 00:07:18,320 Speaker 1: pushing in all these conspiracy theories and just driving me 135 00:07:18,360 --> 00:07:20,240 Speaker 1: crazy reading about it and hearing about it. And it's 136 00:07:20,280 --> 00:07:22,800 Speaker 1: gonna even make me more crazy if it is his company. 137 00:07:22,960 --> 00:07:24,680 Speaker 1: And I don't know if it's his company that's coming 138 00:07:24,720 --> 00:07:26,960 Speaker 1: out with it first, but if it is Mark, that 139 00:07:27,000 --> 00:07:30,520 Speaker 1: makes it that much more crazier. With the Confucius say 140 00:07:30,560 --> 00:07:33,080 Speaker 1: in these freaking theories that are out there, well, I 141 00:07:33,120 --> 00:07:37,040 Speaker 1: mean the fact that they even wrote that letter. I mean, 142 00:07:37,240 --> 00:07:39,400 Speaker 1: you know, we we we talk a lot about Big 143 00:07:39,400 --> 00:07:43,400 Speaker 1: Farmer on our show and how they are, you know, 144 00:07:44,000 --> 00:07:49,600 Speaker 1: trying to keep cannabis out of the equation, and it's 145 00:07:49,600 --> 00:07:51,800 Speaker 1: hard for me to believe that big farmers trying to 146 00:07:51,840 --> 00:07:56,000 Speaker 1: do something right. Well, I'm sure there's a hidden agenda 147 00:07:56,040 --> 00:08:01,000 Speaker 1: behind it. Always how many times have you ever used 148 00:08:01,040 --> 00:08:06,880 Speaker 1: those that phrase big pharma is doing something right? Have 149 00:08:06,960 --> 00:08:09,640 Speaker 1: you ever? Ye? I said that phrase and you knew 150 00:08:09,680 --> 00:08:14,440 Speaker 1: exactly what phrase that it was, because that phrase just 151 00:08:14,520 --> 00:08:17,360 Speaker 1: doesn't come out of anyone's mouth. No, No, they want 152 00:08:17,440 --> 00:08:19,360 Speaker 1: the big bucks. They didn't, And that's what it seems like. 153 00:08:19,360 --> 00:08:22,920 Speaker 1: But this all I can do is hope, hope that 154 00:08:23,280 --> 00:08:26,400 Speaker 1: are is it that Johnson and Johnson and the other 155 00:08:26,880 --> 00:08:29,840 Speaker 1: random twelve or six other big farmer companies that are 156 00:08:29,840 --> 00:08:31,520 Speaker 1: out there? Ironically, there's so many that are just right 157 00:08:31,520 --> 00:08:33,920 Speaker 1: here and Irvine, they're close to us. Um that that 158 00:08:34,000 --> 00:08:37,120 Speaker 1: are close, which is funny. Um, that are the ones 159 00:08:37,160 --> 00:08:40,080 Speaker 1: that are saying no, let's wait because maybe they don't 160 00:08:40,120 --> 00:08:42,640 Speaker 1: have a stake in it, maybe they're not up to 161 00:08:42,760 --> 00:08:46,680 Speaker 1: par with it, and so somebody's further advanced. I wouldn't 162 00:08:46,679 --> 00:08:49,120 Speaker 1: doubt it. So that's probably why. So once again when 163 00:08:49,160 --> 00:08:52,199 Speaker 1: you say they're probably doing something right, no, they're just 164 00:08:52,240 --> 00:08:54,960 Speaker 1: mad because they're not been a benefit from it. What 165 00:08:55,120 --> 00:08:57,600 Speaker 1: farmer company doesn't do something to benefit from They are 166 00:08:57,640 --> 00:09:00,320 Speaker 1: one of the most successful companies. Even all the people 167 00:09:00,360 --> 00:09:02,880 Speaker 1: that are reps for the companies, they're all paid so well. 168 00:09:02,920 --> 00:09:05,480 Speaker 1: They all have cars, they all got expense accounts, they 169 00:09:05,480 --> 00:09:08,280 Speaker 1: all get low and they've all fucked up people in 170 00:09:08,320 --> 00:09:11,520 Speaker 1: the past. I was, I was, I was watching news 171 00:09:11,600 --> 00:09:14,079 Speaker 1: again and they were just the list of you know, 172 00:09:14,160 --> 00:09:16,640 Speaker 1: Johnson and Johnson got sued for this, and they did that, 173 00:09:16,800 --> 00:09:19,120 Speaker 1: and this one caused this, and you know, there's been 174 00:09:19,120 --> 00:09:24,280 Speaker 1: their share of problems. But two, it's just so politicized. 175 00:09:24,960 --> 00:09:28,920 Speaker 1: It's so political with the with the with what the 176 00:09:28,920 --> 00:09:33,040 Speaker 1: president is pushing and the agenda he's pushing, so that 177 00:09:34,360 --> 00:09:37,440 Speaker 1: this vaccine he's seen that he wants to be seen 178 00:09:37,480 --> 00:09:39,400 Speaker 1: as the savior. I want to see him take the 179 00:09:39,440 --> 00:09:42,800 Speaker 1: shot life. I want to see the medicine and the 180 00:09:42,840 --> 00:09:45,440 Speaker 1: shot and the vial and I want it poked in 181 00:09:45,520 --> 00:09:47,480 Speaker 1: his arm and I want a band aid going over 182 00:09:47,480 --> 00:09:49,480 Speaker 1: and I want to see some blood come out. Well, 183 00:09:49,880 --> 00:09:51,480 Speaker 1: if you don't see that, I think he's full of ship, 184 00:09:51,520 --> 00:09:53,600 Speaker 1: because honestly, I don't think he'll take it. I would 185 00:09:53,640 --> 00:09:56,400 Speaker 1: have to agree with you. I mean, and if he 186 00:09:56,400 --> 00:09:58,640 Speaker 1: does or doesn't, he's gonna lie like he's been lying 187 00:09:58,720 --> 00:10:01,079 Speaker 1: once again. If you haven't and you're hiding in a 188 00:10:01,200 --> 00:10:04,840 Speaker 1: rock thinking, oh, this is my guy, then you like liars. 189 00:10:05,080 --> 00:10:08,160 Speaker 1: It's the lack of the all testing. The testing that's 190 00:10:08,200 --> 00:10:11,760 Speaker 1: going on, the testing that's going on in and around 191 00:10:11,800 --> 00:10:17,960 Speaker 1: the president, in and around are athletes. How come we 192 00:10:18,080 --> 00:10:21,840 Speaker 1: as everyday citizens aren't getting the same treat because sad athletes. 193 00:10:21,920 --> 00:10:24,080 Speaker 1: And I'm okay with that. And I sit here and 194 00:10:24,080 --> 00:10:25,679 Speaker 1: I look at that, and I go, you know, it's 195 00:10:25,720 --> 00:10:28,200 Speaker 1: perks of the job. Why do you get people to 196 00:10:28,280 --> 00:10:30,360 Speaker 1: drop off buttons? And why don't I get my own 197 00:10:30,400 --> 00:10:33,040 Speaker 1: buttons with my own logo on him? And why don't 198 00:10:33,280 --> 00:10:37,600 Speaker 1: get talking about why don't I people get safety? Health? 199 00:10:37,600 --> 00:10:39,800 Speaker 1: Do you get you know, healthy from the weed you use? 200 00:10:39,840 --> 00:10:42,160 Speaker 1: Why don't I get free CBD? Like you guys? Do 201 00:10:42,160 --> 00:10:46,280 Speaker 1: you get free CBD? I see you smoke. I'm saying 202 00:10:46,280 --> 00:10:48,840 Speaker 1: I do. I'm claiming me. I'm not claiming only you, 203 00:10:49,240 --> 00:10:53,600 Speaker 1: but I'm saying, yes, it's called perks of the job. 204 00:10:53,880 --> 00:10:57,200 Speaker 1: But why should a perk because it's called perks of 205 00:10:57,240 --> 00:11:00,000 Speaker 1: the job. You get a commercial and you could edit 206 00:11:00,000 --> 00:11:03,360 Speaker 1: it somewhere because he has the edited Why shouldn't I 207 00:11:03,400 --> 00:11:05,720 Speaker 1: be allowed to get the same type of testing to 208 00:11:05,760 --> 00:11:09,040 Speaker 1: save my life because my life less valuable than an athlete. 209 00:11:09,120 --> 00:11:11,400 Speaker 1: Because you don't have that perk of a job. You 210 00:11:11,440 --> 00:11:14,360 Speaker 1: have to go stupid perk. Well, it's not it's this 211 00:11:14,480 --> 00:11:16,320 Speaker 1: what it is. You're asking me the question. I'm giving 212 00:11:16,320 --> 00:11:18,400 Speaker 1: you the answer. What you agree with it? You think 213 00:11:18,400 --> 00:11:22,760 Speaker 1: it's okay that millions of Americans are suffering, People have died, 214 00:11:23,160 --> 00:11:26,679 Speaker 1: people have died because they didn't get the test. You 215 00:11:26,760 --> 00:11:28,520 Speaker 1: know what? What do you think of that? I think 216 00:11:28,600 --> 00:11:31,880 Speaker 1: that it's unfortunate, But it is what it is. It's 217 00:11:31,920 --> 00:11:34,680 Speaker 1: like you sound like Trump. No, it is what it is. 218 00:11:34,760 --> 00:11:38,000 Speaker 1: It's like white privilege. I acknowledge it, but it is 219 00:11:38,080 --> 00:11:40,240 Speaker 1: what it is. You have more privilege than I get. 220 00:11:40,280 --> 00:11:42,199 Speaker 1: We walked down the street, you get treated a lot 221 00:11:42,200 --> 00:11:44,400 Speaker 1: different than I do. You don't really, You say, you 222 00:11:44,440 --> 00:11:48,880 Speaker 1: know what, Joe, and I go like this, fuck, you're right, 223 00:11:49,360 --> 00:11:51,480 Speaker 1: And I look at what you're saying. I go, guess 224 00:11:51,520 --> 00:11:55,360 Speaker 1: what these athletes get? What they get the privilege quote 225 00:11:55,440 --> 00:12:00,480 Speaker 1: unquote white privilege slashed athlete privilege. It's what it is. 226 00:12:00,880 --> 00:12:05,560 Speaker 1: Why because they're making owners billions of dollars and money 227 00:12:05,600 --> 00:12:09,280 Speaker 1: talks and bullshit walks, and it's totally wrong that I 228 00:12:09,320 --> 00:12:11,040 Speaker 1: can't walk down the street and get away with what 229 00:12:11,120 --> 00:12:13,360 Speaker 1: you can get away with. It's totally wrong, but it 230 00:12:13,640 --> 00:12:16,680 Speaker 1: is what happens on a daily basis that I can't 231 00:12:16,760 --> 00:12:20,000 Speaker 1: argue with that. But I think that everyday Americans should 232 00:12:20,000 --> 00:12:23,520 Speaker 1: be given the opportunity to get And that being said, Mark, 233 00:12:23,880 --> 00:12:27,680 Speaker 1: I agree with that theory. It would be nice. But 234 00:12:27,800 --> 00:12:31,199 Speaker 1: then again, well, I'm gonna tell you why, because because 235 00:12:31,200 --> 00:12:34,120 Speaker 1: of the President won't know the owners of these company, 236 00:12:34,320 --> 00:12:41,240 Speaker 1: of these franchises, companies, establishments, teams are spending the money 237 00:12:41,280 --> 00:12:46,199 Speaker 1: to have these assess acceptable for the access is there 238 00:12:46,240 --> 00:12:48,480 Speaker 1: for these players, whether you're in the NBA or in 239 00:12:48,520 --> 00:12:52,080 Speaker 1: the NFL, you're in Major League Baseball, whatever your job is, 240 00:12:52,400 --> 00:12:55,480 Speaker 1: that's out there where the owners making that much money, 241 00:12:55,679 --> 00:13:00,360 Speaker 1: they're gonna invest in their people. The country now needs 242 00:13:00,360 --> 00:13:02,480 Speaker 1: to invest in us. So once again we throw it 243 00:13:02,600 --> 00:13:05,800 Speaker 1: back to who DT and say, are you gonna invest 244 00:13:05,840 --> 00:13:08,200 Speaker 1: in us so we could have that access? Do I 245 00:13:08,240 --> 00:13:10,440 Speaker 1: think it should be there for us? Yeah? Do I 246 00:13:10,480 --> 00:13:12,800 Speaker 1: think the government's gonna spend that money and treat us 247 00:13:12,800 --> 00:13:15,800 Speaker 1: like professional athletes? No way. When's the last time you 248 00:13:15,880 --> 00:13:19,400 Speaker 1: had a test. You couldn't even get a test. I 249 00:13:19,400 --> 00:13:21,559 Speaker 1: I was. I was. Later you got told to stay 250 00:13:21,600 --> 00:13:24,440 Speaker 1: home because you probably have something else, and damn well, 251 00:13:24,480 --> 00:13:26,920 Speaker 1: you had everybody else tested positively. I had to go 252 00:13:27,040 --> 00:13:29,800 Speaker 1: the same time you were feeling funny. I just went 253 00:13:29,840 --> 00:13:31,880 Speaker 1: out and bought a test blood test. My wife and 254 00:13:31,920 --> 00:13:35,160 Speaker 1: I positive. We both had the same type symptoms and 255 00:13:35,240 --> 00:13:37,800 Speaker 1: you had them worse than I did, but the same, 256 00:13:38,160 --> 00:13:43,880 Speaker 1: but worse because you're a pussy. I'm toletely kiddy, but 257 00:13:44,160 --> 00:13:48,320 Speaker 1: it's because you're a little midget. And yeah, no, but 258 00:13:48,920 --> 00:13:51,240 Speaker 1: either way, the sickness is terrible, and you know, it's crazy. 259 00:13:51,240 --> 00:13:54,920 Speaker 1: Speaking of the sickness, how sad. I called one of 260 00:13:55,000 --> 00:13:57,800 Speaker 1: my friends today. His mother passed away, and I called 261 00:13:57,880 --> 00:14:00,520 Speaker 1: him to wishing my condolences, and my buddy Eric and 262 00:14:00,559 --> 00:14:03,160 Speaker 1: I called him. He answers all Eric, I said, it 263 00:14:03,200 --> 00:14:05,120 Speaker 1: was big Joe. What's up, Joe. I just want to 264 00:14:05,120 --> 00:14:06,760 Speaker 1: give you my condolences, and you know, I heard your 265 00:14:06,800 --> 00:14:08,920 Speaker 1: mom passed. I never like welcoming people to the club, 266 00:14:08,960 --> 00:14:10,360 Speaker 1: and it's just, you know, it really sucks. And I 267 00:14:10,360 --> 00:14:12,040 Speaker 1: grew up with them in San Jose, were boys from 268 00:14:12,040 --> 00:14:13,880 Speaker 1: when we were younger, went same high school, the whole 269 00:14:13,920 --> 00:14:17,160 Speaker 1: night and we're talking and I just heard his mom 270 00:14:17,280 --> 00:14:20,360 Speaker 1: got sick and died. I didn't realize his mom died 271 00:14:20,440 --> 00:14:23,720 Speaker 1: from COVID. So now I have a first, Like my 272 00:14:23,800 --> 00:14:26,720 Speaker 1: friend grew up with mom like and none of that. 273 00:14:26,800 --> 00:14:29,080 Speaker 1: His mom. They had this restaurant called Cajun Kitchen and 274 00:14:29,120 --> 00:14:33,120 Speaker 1: San Jose one of the bombers, sass cases, cat fish, 275 00:14:33,200 --> 00:14:36,840 Speaker 1: creole jumbo, just gumbo. Um. We used to go there 276 00:14:36,840 --> 00:14:40,280 Speaker 1: all the time, right, the best creole food ever. And 277 00:14:40,360 --> 00:14:41,960 Speaker 1: we hit it. I mean, granted, we went to school 278 00:14:42,000 --> 00:14:43,480 Speaker 1: together to the mom, and then the mom and dad 279 00:14:43,520 --> 00:14:44,760 Speaker 1: loved me. And then once I got into radio, I 280 00:14:44,760 --> 00:14:47,040 Speaker 1: plugged their places. So and the mom reminded me of 281 00:14:47,080 --> 00:14:48,760 Speaker 1: my mom. So I had a good like a lot 282 00:14:48,800 --> 00:14:50,360 Speaker 1: of love for them. So me and him had a 283 00:14:50,360 --> 00:14:51,760 Speaker 1: good heart to heart. We were talking, but and I 284 00:14:51,800 --> 00:14:55,080 Speaker 1: didn't realize they'll tell fifteen minutes into our conversation because 285 00:14:55,120 --> 00:14:57,200 Speaker 1: he's like, oh, yeah, she found out she was sick. 286 00:14:57,320 --> 00:15:00,760 Speaker 1: A month later she died and she was the healthiest 287 00:15:00,760 --> 00:15:02,440 Speaker 1: one of the family. And great, you know they're they're older, 288 00:15:02,480 --> 00:15:05,360 Speaker 1: they're in our fourth late for there, you know, but 289 00:15:05,440 --> 00:15:07,760 Speaker 1: she was healthy. And he said they went to a party, 290 00:15:07,800 --> 00:15:11,760 Speaker 1: she got sick. Boom, she dies within the month. And 291 00:15:11,800 --> 00:15:14,680 Speaker 1: the worst part about this is none of the family 292 00:15:14,720 --> 00:15:16,760 Speaker 1: members could be in there with her because of everything. 293 00:15:16,800 --> 00:15:19,680 Speaker 1: That's great. I've seen this on the news and it 294 00:15:19,760 --> 00:15:22,240 Speaker 1: didn't hit me. And tell a friend tells me he 295 00:15:22,400 --> 00:15:24,600 Speaker 1: wasn't being able to sit next to his mother and 296 00:15:24,640 --> 00:15:27,320 Speaker 1: how sad it was for her mark not to be there. 297 00:15:27,320 --> 00:15:28,960 Speaker 1: And then I go, you know what devil side. On 298 00:15:29,000 --> 00:15:31,160 Speaker 1: the flip side, dog, I was there next to both 299 00:15:31,240 --> 00:15:35,760 Speaker 1: my parents when they died, and it's horrible, and I mean, 300 00:15:35,880 --> 00:15:37,640 Speaker 1: you know, for them, it might be great that we're 301 00:15:37,680 --> 00:15:41,920 Speaker 1: there for you. Guess what my memory is, be. I go, 302 00:15:42,000 --> 00:15:45,840 Speaker 1: and that ship's real. And then my niece nine months old, beebe. 303 00:15:46,680 --> 00:15:49,000 Speaker 1: So every time I see that on a freaking TV show, 304 00:15:49,000 --> 00:15:51,400 Speaker 1: in a movie, you know right where my mind goes 305 00:15:51,920 --> 00:15:55,480 Speaker 1: and it hurts every single time, just the same way. 306 00:15:55,560 --> 00:15:57,960 Speaker 1: And I gotta fight tears every time I see it 307 00:15:58,000 --> 00:16:00,000 Speaker 1: think of it. So, you know, on the clip side, 308 00:16:00,000 --> 00:16:02,120 Speaker 1: it's there's a bad I don't know, Dog, I'm sitting 309 00:16:02,120 --> 00:16:04,120 Speaker 1: here thinking, boy, you don't have to sit there and 310 00:16:04,160 --> 00:16:07,240 Speaker 1: hear that beep sound and think, every time you watch 311 00:16:07,360 --> 00:16:11,360 Speaker 1: Gray's anatomy every time you watch every damn deeper TV show. Beep, 312 00:16:12,120 --> 00:16:14,600 Speaker 1: that's real. It's like, you know, I'm gonna start saying 313 00:16:14,600 --> 00:16:17,760 Speaker 1: that periodically. Okay, your parents are next, so don't worry. 314 00:16:17,960 --> 00:16:21,040 Speaker 1: I'll child it to you. If anybody, You're gonna be 315 00:16:21,080 --> 00:16:24,120 Speaker 1: the one, not me. Both my parents are dead. So 316 00:16:24,440 --> 00:16:27,080 Speaker 1: but it's I don't want to welcome you to that club, 317 00:16:26,360 --> 00:16:31,840 Speaker 1: but it's it is different when you have firsthand knowledge 318 00:16:31,920 --> 00:16:34,560 Speaker 1: and firsthand experience like I did with my mother in law, 319 00:16:34,800 --> 00:16:36,520 Speaker 1: right and she was in there for five weeks and 320 00:16:36,520 --> 00:16:38,240 Speaker 1: we couldn't see her and visit her and stuff, And 321 00:16:38,920 --> 00:16:43,000 Speaker 1: it's real. It's real. It is real, ship, it's real. Well, 322 00:16:43,080 --> 00:16:44,720 Speaker 1: let's take a break and come back with some more 323 00:16:44,760 --> 00:16:47,000 Speaker 1: real cannabis talk. One oh one. We've got some news 324 00:16:47,040 --> 00:16:49,280 Speaker 1: I believe when cannabis goes bad, and I got some 325 00:16:49,360 --> 00:17:00,960 Speaker 1: go green for you. It's cannabis talk one oh one. Well, Mark, 326 00:17:01,000 --> 00:17:03,360 Speaker 1: that was interesting COVID talk. I don't know what I 327 00:17:03,360 --> 00:17:05,320 Speaker 1: had to do with cannabis, but it's cannabis talk. One 328 00:17:05,359 --> 00:17:09,560 Speaker 1: on one. Cannabis here, covid. Yeah, make sure you're using 329 00:17:09,560 --> 00:17:12,040 Speaker 1: your CBD and your cannabis. Your brother and I actually 330 00:17:12,080 --> 00:17:15,960 Speaker 1: had a very strong discussion about what we both interpreted 331 00:17:16,080 --> 00:17:19,080 Speaker 1: in our last recent several shows that we've had with 332 00:17:19,200 --> 00:17:23,080 Speaker 1: Joe from MJ's Wellness and from Dr Danny And as 333 00:17:23,080 --> 00:17:25,520 Speaker 1: you say, you know, use your cannabis, use your CBD. 334 00:17:25,640 --> 00:17:28,000 Speaker 1: I was using you as an example saying, you know, 335 00:17:28,119 --> 00:17:30,200 Speaker 1: I think your brother is really catching onto this because 336 00:17:30,240 --> 00:17:32,679 Speaker 1: he's starting to use more CBD. And I go and 337 00:17:32,720 --> 00:17:37,120 Speaker 1: if anything, Craig, what I've caught and heard, and Mark, 338 00:17:37,160 --> 00:17:39,240 Speaker 1: I'm curious if if you felt the same way with 339 00:17:40,000 --> 00:17:44,639 Speaker 1: understanding what we've heard recently from one double board certified 340 00:17:44,720 --> 00:17:47,199 Speaker 1: doctor out of the UK who you know, practice and 341 00:17:47,280 --> 00:17:52,159 Speaker 1: learned and and um uh not Germany, Canada, Canada and 342 00:17:52,200 --> 00:17:54,280 Speaker 1: who lived in the States for a while. But she's 343 00:17:54,359 --> 00:17:56,920 Speaker 1: as smart as it again when it comes to again, 344 00:17:57,000 --> 00:17:59,240 Speaker 1: she has every credential you could imagine when it comes 345 00:17:59,240 --> 00:18:02,040 Speaker 1: to cannabis. I really heard from her and from Joe, 346 00:18:02,160 --> 00:18:04,840 Speaker 1: who has a ton of anecdotal evidence and he's cured. 347 00:18:05,440 --> 00:18:08,520 Speaker 1: You know, he's put fifty seven people in remission with 348 00:18:08,880 --> 00:18:12,879 Speaker 1: his styles of treatment. Both of those people, Mark ready 349 00:18:12,880 --> 00:18:18,399 Speaker 1: for this, have said used less th h C more CBD. 350 00:18:18,600 --> 00:18:21,720 Speaker 1: That's what I've heard from that's how I interpreted both people. 351 00:18:21,840 --> 00:18:24,000 Speaker 1: Would you agree or heard that I heard that. I 352 00:18:24,080 --> 00:18:27,120 Speaker 1: heard your brother didn't. I think your brother's getting older 353 00:18:27,240 --> 00:18:28,919 Speaker 1: and he's he's not hearing this roll. So thank you 354 00:18:28,960 --> 00:18:32,320 Speaker 1: for and I to test this because I'm wondering if 355 00:18:32,359 --> 00:18:34,960 Speaker 1: I heard it wrong, because Craig's going, no, I didn't 356 00:18:34,960 --> 00:18:37,560 Speaker 1: hear it that way. I heard it that you, with 357 00:18:37,720 --> 00:18:41,000 Speaker 1: your scenario should be taking less CBD. I'm like, she 358 00:18:41,080 --> 00:18:45,960 Speaker 1: did say that, but I'm saying overall the general analysis 359 00:18:46,160 --> 00:18:49,000 Speaker 1: of what I've heard from if you're going to use 360 00:18:49,400 --> 00:18:54,119 Speaker 1: this as a medicine and do help with inflammation pains, aches, 361 00:18:54,320 --> 00:18:55,880 Speaker 1: this is not And from reading the book that only 362 00:18:55,920 --> 00:18:58,359 Speaker 1: you and I read some of it. You read, and 363 00:18:58,359 --> 00:19:01,680 Speaker 1: when I read some of it, I got using less 364 00:19:01,760 --> 00:19:04,880 Speaker 1: th HC for the medical aspect of it. To get 365 00:19:04,880 --> 00:19:07,040 Speaker 1: the full spectrum of it. You want to use some 366 00:19:07,160 --> 00:19:10,159 Speaker 1: th HC, but don't just think by taking more th 367 00:19:10,359 --> 00:19:12,600 Speaker 1: HC's gonna help me with a B C and D 368 00:19:12,720 --> 00:19:16,199 Speaker 1: element and even just recreational high. To even get a 369 00:19:16,240 --> 00:19:20,360 Speaker 1: better recreational high. From reading what I read, use more CBD. 370 00:19:20,840 --> 00:19:23,679 Speaker 1: It's working for me. I I I the CBD, my 371 00:19:23,800 --> 00:19:28,159 Speaker 1: increase in CBD has helped me sleep. It's helping me 372 00:19:28,240 --> 00:19:31,359 Speaker 1: sleep really, yes. Yes. And I mentioned that the you 373 00:19:31,400 --> 00:19:33,760 Speaker 1: should raph needs to do the CBD bubbles and just 374 00:19:33,760 --> 00:19:35,520 Speaker 1: go hard CBD on them. And I bet if you 375 00:19:35,600 --> 00:19:39,080 Speaker 1: do that with doing this both smoking, yeah, I bet 376 00:19:39,080 --> 00:19:40,920 Speaker 1: that would help a lot. I mean, and the liquids. 377 00:19:41,000 --> 00:19:43,600 Speaker 1: I I I as much th HC as I use. 378 00:19:43,720 --> 00:19:47,080 Speaker 1: I'm starting to make sure that I use more CBD 379 00:19:47,400 --> 00:19:50,280 Speaker 1: and that and that's what I gathered. I gathered for 380 00:19:50,359 --> 00:19:53,440 Speaker 1: the heavier user like yourself and people that are out 381 00:19:53,480 --> 00:19:55,399 Speaker 1: there that are using it when they need to go 382 00:19:55,440 --> 00:19:57,800 Speaker 1: to bed at night to have whatever, you know, symptoms 383 00:19:57,800 --> 00:20:00,919 Speaker 1: that they have, start with more e b D throughout 384 00:20:00,960 --> 00:20:05,239 Speaker 1: the day, mixing it up. Almost like the drinker who 385 00:20:05,359 --> 00:20:07,520 Speaker 1: drinks a glass of wine, a glass of water, a 386 00:20:07,600 --> 00:20:14,080 Speaker 1: beer of water to keep yourself. I used to do yea. 387 00:20:14,480 --> 00:20:16,720 Speaker 1: So my point is when I, you know, use the 388 00:20:16,800 --> 00:20:20,080 Speaker 1: analogy with drinking, I'm looking at this like going and 389 00:20:20,200 --> 00:20:24,480 Speaker 1: go hard to see joint. Uh. Whatever you're gonna do, right, 390 00:20:25,040 --> 00:20:29,480 Speaker 1: but then add that cb D higher dosage. It could 391 00:20:29,480 --> 00:20:32,879 Speaker 1: be a two to one, but higher cb D because 392 00:20:32,880 --> 00:20:35,880 Speaker 1: you're gonna get the better effect from it. Absolutely, I 393 00:20:35,880 --> 00:20:38,920 Speaker 1: I agree. I got that from the book I make. 394 00:20:39,320 --> 00:20:44,520 Speaker 1: My experimentation on myself is uh uh, showing that everything 395 00:20:44,560 --> 00:20:47,879 Speaker 1: that book said it's true. I'm finding it true. Like 396 00:20:47,880 --> 00:20:51,159 Speaker 1: it's helping me sleep. The sex, you know, the that 397 00:20:51,240 --> 00:20:54,320 Speaker 1: I talked about the other day. It's just I don't know. 398 00:20:54,359 --> 00:20:56,439 Speaker 1: I came out of nowhere. I went about a good 399 00:20:56,480 --> 00:20:59,480 Speaker 1: four and a half minutes last night, you know. And 400 00:20:59,520 --> 00:21:02,280 Speaker 1: when my start scratching my shoulders and my back, that's 401 00:21:02,280 --> 00:21:04,800 Speaker 1: a long days. I just can't hold back. She got 402 00:21:04,800 --> 00:21:07,280 Speaker 1: them daddy, long legs, dog and she got long as arms. 403 00:21:07,280 --> 00:21:13,639 Speaker 1: She's touching me all on. But it works, it works. 404 00:21:14,000 --> 00:21:15,680 Speaker 1: It works. That part hasn't worked for me, and I 405 00:21:15,720 --> 00:21:18,240 Speaker 1: gotta figure out something you need more. But let me 406 00:21:18,280 --> 00:21:20,399 Speaker 1: tell you what has worked for me. So here's a 407 00:21:20,400 --> 00:21:23,840 Speaker 1: good anecdotal evidence on my standpoint with CBD. I'm moving 408 00:21:23,920 --> 00:21:26,200 Speaker 1: right now, right sold my house. I'm getting ready to 409 00:21:26,240 --> 00:21:31,520 Speaker 1: pack in my past experiences, as we know, with my 410 00:21:31,560 --> 00:21:34,360 Speaker 1: elements that I have, I've I've talked about the authritis 411 00:21:34,440 --> 00:21:37,959 Speaker 1: and my hips, my bad ankle. In the process of moving, 412 00:21:38,080 --> 00:21:39,679 Speaker 1: I stay up late last night, for instance, I was 413 00:21:39,720 --> 00:21:41,040 Speaker 1: up to a three thirty in the morning and I 414 00:21:41,080 --> 00:21:42,800 Speaker 1: gotta get up at sixty to get the kids going 415 00:21:42,840 --> 00:21:44,800 Speaker 1: in this now, so I get very minimal sleep. And 416 00:21:44,840 --> 00:21:47,520 Speaker 1: I'm not complaining. I'm just telling you that sometimes that happens, 417 00:21:47,520 --> 00:21:51,560 Speaker 1: and and this happens even throughout my life without even moving. 418 00:21:51,800 --> 00:21:53,960 Speaker 1: But when I'm moving, I'm moving all night. Now I'm 419 00:21:53,960 --> 00:21:57,280 Speaker 1: doing something. I'm packing, I'm storing stuff, throwing crap away. 420 00:21:57,720 --> 00:22:00,119 Speaker 1: My point behind this is when I have less, I'm 421 00:22:00,119 --> 00:22:04,960 Speaker 1: not asleep and i'm working like that, my ankle inflames 422 00:22:05,320 --> 00:22:07,840 Speaker 1: like freaking crazy. It looks like a big old fat 423 00:22:07,880 --> 00:22:11,679 Speaker 1: watermelon back there. Sorry, don't get excited, but it's just 424 00:22:11,760 --> 00:22:13,879 Speaker 1: it's just I seen him look up right now. It 425 00:22:13,920 --> 00:22:15,760 Speaker 1: looked at me when I said big fat, and I 426 00:22:15,760 --> 00:22:17,800 Speaker 1: didn't know what he was gonna big fat, big fat steak. 427 00:22:21,640 --> 00:22:24,480 Speaker 1: And it swells up literally looks like a big cantalope 428 00:22:24,480 --> 00:22:26,439 Speaker 1: water just you know what I mean. And my veins 429 00:22:26,440 --> 00:22:28,199 Speaker 1: pop out of it, and so I always have to 430 00:22:28,240 --> 00:22:30,760 Speaker 1: like elevate it and this and that. And since I've 431 00:22:30,760 --> 00:22:32,720 Speaker 1: been doing this the last three or four days, I've 432 00:22:32,840 --> 00:22:37,760 Speaker 1: increased my CBD, started smoking more CBD. And guess what, 433 00:22:38,080 --> 00:22:41,439 Speaker 1: it's not hurting as bad? Do I think it doesn't know. 434 00:22:41,480 --> 00:22:43,480 Speaker 1: It still hurts a little bit because I've already had 435 00:22:43,480 --> 00:22:46,280 Speaker 1: I proposed, I've surged you on it forgot away. It's 436 00:22:46,280 --> 00:22:48,840 Speaker 1: not taking away, but it's not inflamable where I'm limping 437 00:22:48,920 --> 00:22:51,040 Speaker 1: so bad, where you're looking at me going, dude, what 438 00:22:51,160 --> 00:22:53,240 Speaker 1: is wrong with you? Why are you? Don't don't don't, 439 00:22:53,400 --> 00:22:55,080 Speaker 1: don't don't walking like that? You know what I mean? 440 00:22:55,320 --> 00:22:58,919 Speaker 1: I'm jerking. So I just find that everything we're hearing, 441 00:22:59,240 --> 00:23:04,120 Speaker 1: and I've been adding it into my regimen of CBD use. 442 00:23:04,560 --> 00:23:07,320 Speaker 1: It's true because my inflammation in my ankle, which would 443 00:23:07,320 --> 00:23:10,040 Speaker 1: be highly flamed, very irritable, and I'd be in a 444 00:23:10,080 --> 00:23:14,520 Speaker 1: lot of pain. I'm not as as merely the much 445 00:23:14,560 --> 00:23:17,360 Speaker 1: pain for staying up so later now, But when, if ever, 446 00:23:18,480 --> 00:23:22,159 Speaker 1: do you think you might dabble in adding a little 447 00:23:22,160 --> 00:23:25,800 Speaker 1: bit of I get that entourage effect. Don't both brothers 448 00:23:25,800 --> 00:23:27,520 Speaker 1: do the same thing. Isn't that funny how they both 449 00:23:27,520 --> 00:23:31,399 Speaker 1: did the same thing to me? And I said, your 450 00:23:31,440 --> 00:23:35,200 Speaker 1: brother actually the exact same question yesterday was yesterday, Yeah, 451 00:23:35,359 --> 00:23:38,879 Speaker 1: exact same question. And I told him, and this is 452 00:23:38,920 --> 00:23:41,320 Speaker 1: the God's honor truth. The day I have to take 453 00:23:41,560 --> 00:23:45,520 Speaker 1: the vicodins, the uh, you know, when I have to 454 00:23:45,560 --> 00:23:49,320 Speaker 1: take something strong for the pills. It's like if I 455 00:23:49,320 --> 00:23:52,400 Speaker 1: if I need to go more than an Adville, if 456 00:23:52,400 --> 00:23:54,720 Speaker 1: I'm doing or if I'm going to have to do advills, 457 00:23:54,760 --> 00:23:58,440 Speaker 1: like right now, in a normal scenario, I'd be reaching 458 00:23:58,480 --> 00:24:01,160 Speaker 1: for four advils every four to six hours because I'm 459 00:24:01,200 --> 00:24:03,640 Speaker 1: moving and I know I'm moving, so I'm so busy. 460 00:24:03,680 --> 00:24:06,600 Speaker 1: When I get home from work, I'm constantly going, going, going, 461 00:24:06,960 --> 00:24:09,000 Speaker 1: and I'd be popping them before. I'd be popping them 462 00:24:09,000 --> 00:24:10,800 Speaker 1: before I go to the gym and this and that 463 00:24:10,880 --> 00:24:13,520 Speaker 1: because it'd be hurting me right now. I haven't done that, 464 00:24:13,680 --> 00:24:15,800 Speaker 1: so that's a different element. I usually will pop four 465 00:24:16,160 --> 00:24:19,560 Speaker 1: advils before I go work out, right before I go 466 00:24:19,600 --> 00:24:21,679 Speaker 1: to bed, when I wake up in the morning, in 467 00:24:21,720 --> 00:24:24,119 Speaker 1: the afternoon, and then that once again the same cycle, 468 00:24:24,160 --> 00:24:25,720 Speaker 1: so it's about four times a day. I would pop 469 00:24:25,760 --> 00:24:27,760 Speaker 1: four of them, but I haven't done that. So even 470 00:24:27,760 --> 00:24:29,280 Speaker 1: if I had to do that, I'd probably do it 471 00:24:29,320 --> 00:24:31,320 Speaker 1: even with the Adville, so I'd go to like a 472 00:24:31,359 --> 00:24:33,120 Speaker 1: two to one. I would I would. I would do 473 00:24:33,560 --> 00:24:37,359 Speaker 1: an increase with the to get that full effect for myself. 474 00:24:37,400 --> 00:24:40,200 Speaker 1: And that's being said because I've been sober twenty two 475 00:24:40,200 --> 00:24:42,359 Speaker 1: plus years. I'm not looking at it. And I know 476 00:24:42,440 --> 00:24:43,960 Speaker 1: even if I just use a little bit, it's not 477 00:24:44,000 --> 00:24:45,840 Speaker 1: gonna get me high. I know it's and I know 478 00:24:45,960 --> 00:24:48,360 Speaker 1: these things, and I know it's not gonna probably even 479 00:24:48,359 --> 00:24:51,160 Speaker 1: trigger something. But I just know that I don't want 480 00:24:51,160 --> 00:24:53,720 Speaker 1: to try to go down that road. Oh my god, 481 00:24:53,760 --> 00:24:58,600 Speaker 1: that feels so good. Yeah yeah, freak me daddy. I mean, 482 00:24:58,680 --> 00:25:02,000 Speaker 1: might we might have to talk about can Euphorics. What's that? 483 00:25:02,960 --> 00:25:05,600 Speaker 1: I just learned about it to day. Can you for 484 00:25:05,960 --> 00:25:09,640 Speaker 1: k k I n Euphorics. It's a drink that's being 485 00:25:09,640 --> 00:25:13,560 Speaker 1: touted as like it's non alcoholic and it has all 486 00:25:13,640 --> 00:25:18,520 Speaker 1: this stuff in it, like but botanical stuff from plants, 487 00:25:18,560 --> 00:25:23,400 Speaker 1: and it's supposed to make you feel all happy and 488 00:25:23,520 --> 00:25:29,320 Speaker 1: euphoric and almost drunk, like with no hangover, and there's 489 00:25:29,320 --> 00:25:33,680 Speaker 1: no alcohol in can Euphorics. Buddy of mine just ordered it. 490 00:25:33,760 --> 00:25:35,919 Speaker 1: He's been He got a twenty five ounce bottle and 491 00:25:35,920 --> 00:25:38,040 Speaker 1: he's gonna try it out this weekend. You missed the 492 00:25:38,080 --> 00:25:42,800 Speaker 1: other day. Cores and uh and Hayser Bush you were 493 00:25:42,840 --> 00:25:46,040 Speaker 1: gone are jumping heavily into the CBD th HC game. 494 00:25:46,160 --> 00:25:49,320 Speaker 1: And Hayser Bush is doing CBD p C and cores 495 00:25:49,400 --> 00:25:51,879 Speaker 1: is doing c drinks. Yes, and guess who Han hazer 496 00:25:51,880 --> 00:25:56,040 Speaker 1: Bush hooked up with company wise till Ray out of Canada, 497 00:25:56,080 --> 00:25:59,640 Speaker 1: the big one, the Big Stock, Yes, yes, the Huge 498 00:25:59,640 --> 00:26:01,959 Speaker 1: Blue and then went down. But I just think that 499 00:26:02,040 --> 00:26:03,760 Speaker 1: was you mentioned their drinks. I just you were part 500 00:26:03,800 --> 00:26:05,960 Speaker 1: of the show. And yeah, you never listened to podcast anyway, 501 00:26:05,960 --> 00:26:09,640 Speaker 1: you're gonna tell you about it? Well, thank you, that's 502 00:26:09,640 --> 00:26:12,800 Speaker 1: not true. I listened when I'm on. Well that's like 503 00:26:12,840 --> 00:26:14,640 Speaker 1: I said, you don't really listen because you never really 504 00:26:15,080 --> 00:26:17,320 Speaker 1: I'm surprised you're here right now. We're supposed to come 505 00:26:17,320 --> 00:26:19,720 Speaker 1: back with some Cannabis Goes Bad and some go green knife. 506 00:26:19,960 --> 00:26:21,560 Speaker 1: Why not we went off on a side note right 507 00:26:22,880 --> 00:26:34,119 Speaker 1: was Yeah, we'll be back after this. Welcome back to 508 00:26:34,240 --> 00:26:37,080 Speaker 1: Cannabis Talk one oh one Blue, Joe, Grande, Mark and Craig, 509 00:26:37,080 --> 00:26:39,639 Speaker 1: the Pop Brothers that law are all usually here, but 510 00:26:39,680 --> 00:26:43,119 Speaker 1: we just got me and Joe the Grande Wash show. 511 00:26:43,440 --> 00:26:45,840 Speaker 1: Hey we've done that before. Oh yeah, and I bet 512 00:26:45,920 --> 00:26:48,440 Speaker 1: you're about to give us some good go green moments. 513 00:26:48,560 --> 00:26:50,960 Speaker 1: But before I do, I would like to thank Jason 514 00:26:51,040 --> 00:26:54,280 Speaker 1: Williams for being such a great part of the show 515 00:26:54,600 --> 00:26:57,120 Speaker 1: I'm doing everything that he does. For those who don't know, 516 00:26:57,640 --> 00:27:01,560 Speaker 1: Jason Williams is just button name. No, that's pitt right there. 517 00:27:01,560 --> 00:27:05,960 Speaker 1: Did you know that? That's exactly neither did I of 518 00:27:06,160 --> 00:27:13,359 Speaker 1: white chocolate from that's dark chocolate. Jason Williams is our 519 00:27:13,480 --> 00:27:17,240 Speaker 1: dark chocolate. So thank you very much, Thank you very much, 520 00:27:17,320 --> 00:27:21,880 Speaker 1: Peanuts and Elvis and Elvis and Jennifer and everybody who 521 00:27:21,880 --> 00:27:24,040 Speaker 1: comes around. I just love and Mark just overlooked you 522 00:27:24,040 --> 00:27:26,280 Speaker 1: guys and says I'm not gonna do it. Yes, I 523 00:27:26,320 --> 00:27:28,159 Speaker 1: definitely have some go green ones before we get to 524 00:27:28,240 --> 00:27:31,119 Speaker 1: some cannabis goes bad and uh it's will Australians are 525 00:27:31,160 --> 00:27:34,520 Speaker 1: busy working around and worrying about, of course, the scheduling 526 00:27:34,520 --> 00:27:38,240 Speaker 1: of CBD oil and food manufacturing in New Zealand. Well, 527 00:27:38,280 --> 00:27:40,879 Speaker 1: guess what. This factory in New Zealand has developed the 528 00:27:40,920 --> 00:27:45,960 Speaker 1: world's first fake meat made of hemp. You're right, you 529 00:27:45,960 --> 00:27:51,800 Speaker 1: hear that, the world's first meat made of hemp. Now 530 00:27:51,840 --> 00:27:55,119 Speaker 1: this sus It's called Sustainable Foods is. The company sells 531 00:27:55,240 --> 00:27:59,520 Speaker 1: plant based fake meat products through their Craft Meat Co. Brand. 532 00:27:59,600 --> 00:28:02,800 Speaker 1: So they're with the huge company Craft right, but this 533 00:28:02,840 --> 00:28:05,640 Speaker 1: is part of their big that's their distribution company offering 534 00:28:05,720 --> 00:28:10,040 Speaker 1: customers soy based burgers, sausage and you know meat like 535 00:28:10,119 --> 00:28:15,920 Speaker 1: that in the brand will be releasing a bizarre new product, 536 00:28:16,720 --> 00:28:22,399 Speaker 1: hemp based fake meat. Mark you're a health nut and 537 00:28:22,560 --> 00:28:27,560 Speaker 1: you're a hemp cannabis next. Is this something that you 538 00:28:27,600 --> 00:28:31,240 Speaker 1: will incorporate into your diet? I will have to try it. 539 00:28:32,040 --> 00:28:33,840 Speaker 1: I mean, I'll try it too. If it's hemp based, 540 00:28:33,840 --> 00:28:36,840 Speaker 1: it's not gonna probably gonna be point zero three on 541 00:28:36,880 --> 00:28:39,960 Speaker 1: the THHC side because they're selling it everywhere. It's gotta 542 00:28:40,000 --> 00:28:43,400 Speaker 1: be and none of that. I mean, well, it's gotta 543 00:28:43,440 --> 00:28:45,600 Speaker 1: be just like a tofu I'm imagining. I mean, these 544 00:28:45,600 --> 00:28:48,760 Speaker 1: cats are making soy based burger sausages, and have you 545 00:28:48,800 --> 00:28:50,880 Speaker 1: tried some of these toy based things. They're pretty good. 546 00:28:51,040 --> 00:28:53,640 Speaker 1: I've had some soy based stuff. I'm like, I don't 547 00:28:53,640 --> 00:28:54,920 Speaker 1: even know a matter of fact, I want to this 548 00:28:55,400 --> 00:28:58,040 Speaker 1: impossible burger and stuff like that. Blue took me to 549 00:28:58,160 --> 00:29:01,640 Speaker 1: this U Vietnamese by the other day dog and it 550 00:29:01,720 --> 00:29:06,440 Speaker 1: was the bomb. I never would order some tofu. I 551 00:29:06,520 --> 00:29:08,600 Speaker 1: just when my daughter was born, my wife was on 552 00:29:08,640 --> 00:29:11,360 Speaker 1: a tofu kick and I had it, you know, twenty times, 553 00:29:11,400 --> 00:29:14,040 Speaker 1: maybe in my life if that, and that's twenty unhappy 554 00:29:14,080 --> 00:29:18,560 Speaker 1: times that I had to eat and I've cooked it, 555 00:29:18,560 --> 00:29:21,560 Speaker 1: and you know, he goes, let's get protein. Yeah, I 556 00:29:21,560 --> 00:29:24,000 Speaker 1: already got boobs. I don't need more estrogen in my body. 557 00:29:24,240 --> 00:29:26,080 Speaker 1: You see how big my tits are ready for God's 558 00:29:26,080 --> 00:29:28,200 Speaker 1: sakes and my fat ass. Last thing I need to 559 00:29:28,200 --> 00:29:32,360 Speaker 1: be doing is eating some more tofu. And this tofu Mark, 560 00:29:32,440 --> 00:29:34,720 Speaker 1: we gotta go to this place. It was the most 561 00:29:34,760 --> 00:29:39,000 Speaker 1: amazing tofu my life, all light and fluffy and like 562 00:29:39,560 --> 00:29:43,000 Speaker 1: border just had this crispy. So my point is, if 563 00:29:43,040 --> 00:29:45,280 Speaker 1: they can make a taste like this spot that we 564 00:29:45,320 --> 00:29:48,200 Speaker 1: went to, being these restaurant that I went to, it's 565 00:29:48,200 --> 00:29:50,920 Speaker 1: gonna be good. So over the past few months, Sustainable 566 00:29:50,920 --> 00:29:56,480 Speaker 1: Foods have been working alongside researchers from Massi University, Ridley Institutes. 567 00:29:56,840 --> 00:29:59,840 Speaker 1: Together they developed a line of hemp based meat products. 568 00:29:59,880 --> 00:30:01,320 Speaker 1: So it's a bunch of them that they're probably gonna 569 00:30:01,320 --> 00:30:04,880 Speaker 1: put out there using hemp supplied by medical cannabis supplier 570 00:30:05,280 --> 00:30:07,520 Speaker 1: Green Fern Industry. Now check this out. Green for An 571 00:30:07,560 --> 00:30:10,560 Speaker 1: Industry is not a joke company. They're big. Hemp can 572 00:30:10,600 --> 00:30:14,080 Speaker 1: be grown outdoors in New Zealand, so Green Fern believes 573 00:30:14,080 --> 00:30:17,000 Speaker 1: that the cost of growing the plant locally is lower 574 00:30:17,000 --> 00:30:19,920 Speaker 1: than the cost of growing soy. So if this company 575 00:30:19,960 --> 00:30:21,960 Speaker 1: has been, you know, Sustainable Food has been putting all 576 00:30:21,960 --> 00:30:25,000 Speaker 1: these soy products out, they can actually grow stuff cheaper. 577 00:30:25,360 --> 00:30:27,400 Speaker 1: Who bottom line is what a lot of companies are 578 00:30:27,440 --> 00:30:30,120 Speaker 1: looking at. And it's gonna be hemp based. This is 579 00:30:30,120 --> 00:30:33,080 Speaker 1: the type of company that's just gonna pop like crazy. 580 00:30:33,200 --> 00:30:36,440 Speaker 1: I mean, who knew that? Before you know it? We're 581 00:30:36,440 --> 00:30:39,360 Speaker 1: looking at him hemp derived foods. Well, I mean we 582 00:30:39,440 --> 00:30:42,680 Speaker 1: already know himp. It can be used for so I 583 00:30:42,720 --> 00:30:44,720 Speaker 1: mean I'm not surprised, right, I mean, you know they're 584 00:30:44,760 --> 00:30:47,200 Speaker 1: making cars out of it and making paper to make 585 00:30:47,280 --> 00:30:53,240 Speaker 1: everything close hemp. Hemp will save the planet. It's it's amazing. 586 00:30:53,320 --> 00:30:55,840 Speaker 1: I mean they're looking at you know, hemp crops are 587 00:30:56,000 --> 00:31:00,120 Speaker 1: higher than even soybeans. I mean, it's just amazing what 588 00:31:00,160 --> 00:31:02,040 Speaker 1: it's gonna do and what it's what's going down. Another 589 00:31:02,040 --> 00:31:04,520 Speaker 1: go green story that I have that I found to 590 00:31:04,560 --> 00:31:08,800 Speaker 1: be very very interesting as US cannabis testing markets. You know, 591 00:31:09,600 --> 00:31:10,920 Speaker 1: of course you know what it is, but those are 592 00:31:10,920 --> 00:31:13,080 Speaker 1: out there listening going to what's a testing market? So 593 00:31:13,600 --> 00:31:16,680 Speaker 1: a testing facility is going to be like a laboratory 594 00:31:16,720 --> 00:31:19,280 Speaker 1: that you have to take your hamp to your oils, 595 00:31:19,320 --> 00:31:23,040 Speaker 1: to your edibles too, and you have to get it tested. 596 00:31:23,400 --> 00:31:26,920 Speaker 1: So these testing labs and markets are popping up all 597 00:31:26,960 --> 00:31:31,400 Speaker 1: over the place. Well, they're saying that by this type 598 00:31:31,440 --> 00:31:34,760 Speaker 1: of company is gonna be worth one point two billions, 599 00:31:34,800 --> 00:31:38,959 Speaker 1: with it be billion dollars. New analysts from Global Market 600 00:31:39,040 --> 00:31:42,760 Speaker 1: Insights shows the US cannabis testing market will be worth 601 00:31:42,840 --> 00:31:47,680 Speaker 1: one point to billion by The report shows that growing 602 00:31:47,720 --> 00:31:51,360 Speaker 1: demands for medical cannabis for the treatment of various you know, 603 00:31:51,520 --> 00:31:54,400 Speaker 1: elements that are growing in the US and around the 604 00:31:54,440 --> 00:31:57,120 Speaker 1: world for that matter, cannabis testing markets are on the 605 00:31:57,280 --> 00:32:00,640 Speaker 1: rise and demand for further results in the you know, 606 00:32:00,720 --> 00:32:03,640 Speaker 1: implements of strict government policies and for the testing of 607 00:32:03,680 --> 00:32:06,520 Speaker 1: the cannabis to be used in the medical cannabis products. 608 00:32:06,760 --> 00:32:08,800 Speaker 1: And it's crazy because when you look at this, you guys, 609 00:32:09,880 --> 00:32:13,000 Speaker 1: you have two different realms. You have the medical standpoint 610 00:32:13,000 --> 00:32:15,640 Speaker 1: test facility and then you have the which Mark loves 611 00:32:15,720 --> 00:32:21,000 Speaker 1: the term recreational use side exactly. He loves that. And 612 00:32:21,080 --> 00:32:23,600 Speaker 1: when you look at the recreational side that's out there, 613 00:32:23,800 --> 00:32:28,600 Speaker 1: it's tested different than the medical side, and my exactly. 614 00:32:28,640 --> 00:32:31,240 Speaker 1: In my opinion, we just need to have one testing 615 00:32:31,280 --> 00:32:34,920 Speaker 1: way an it's all medical, and then all be tested 616 00:32:34,960 --> 00:32:37,440 Speaker 1: the same and and bottom line the same. And if 617 00:32:37,480 --> 00:32:39,240 Speaker 1: it's a harder test, to make it a harder test, 618 00:32:40,120 --> 00:32:43,880 Speaker 1: it's good. It is all medical. And when I look 619 00:32:43,920 --> 00:32:47,240 Speaker 1: at these, you know, researchers institutes are actively focusing on 620 00:32:47,320 --> 00:32:52,800 Speaker 1: exploring novel applications of cannabis to that and increasing investments 621 00:32:53,040 --> 00:32:56,480 Speaker 1: to research and development activities to likely further growth the 622 00:32:56,520 --> 00:32:59,920 Speaker 1: cannabis testing market over the forthcoming years. So it all 623 00:33:00,000 --> 00:33:02,360 Speaker 1: so leads into which you know, we've had the doctors 624 00:33:02,360 --> 00:33:04,920 Speaker 1: on everybody else going. The more research we're doing with 625 00:33:05,000 --> 00:33:07,480 Speaker 1: the testing, the more research we could do to see 626 00:33:07,520 --> 00:33:10,840 Speaker 1: what the plant can do to benefit us with all 627 00:33:11,320 --> 00:33:14,320 Speaker 1: kinds of elements, because before you know it, it's going 628 00:33:14,360 --> 00:33:16,480 Speaker 1: to be out there, you guys, Just like those four 629 00:33:16,480 --> 00:33:18,320 Speaker 1: anvils I used to tell you that I'm taking from 630 00:33:18,320 --> 00:33:20,520 Speaker 1: my pain four times a day when my pain is bad, 631 00:33:20,760 --> 00:33:23,680 Speaker 1: we're gonna know four tinsters of this if you're at 632 00:33:23,680 --> 00:33:25,560 Speaker 1: that weight, and this and that and and it's gonna 633 00:33:25,600 --> 00:33:28,320 Speaker 1: it's gonna be there. And we already hear the testings 634 00:33:28,360 --> 00:33:31,400 Speaker 1: going on and these type of testing labs are gonna 635 00:33:31,400 --> 00:33:33,680 Speaker 1: be part of those testings. So you're gonna have to 636 00:33:33,680 --> 00:33:35,440 Speaker 1: have the doctor's testings, You're gonna have to have these 637 00:33:35,440 --> 00:33:37,160 Speaker 1: test labs that do it. You're gonna have to have 638 00:33:37,240 --> 00:33:40,280 Speaker 1: all these types of functions. And it also goes to 639 00:33:40,320 --> 00:33:42,280 Speaker 1: show you out there, if you're listening, I want to 640 00:33:42,280 --> 00:33:44,520 Speaker 1: get in the cannabis game. I want to be that. 641 00:33:45,040 --> 00:33:47,600 Speaker 1: You don't have to sell weed, you don't have to 642 00:33:47,680 --> 00:33:50,440 Speaker 1: grow up plants. You could be the biggest nerd there 643 00:33:50,560 --> 00:33:53,440 Speaker 1: is and create a testing lab. Folks. I mean, there's 644 00:33:53,520 --> 00:33:57,160 Speaker 1: so many things you can create that special glass endless 645 00:33:57,200 --> 00:34:00,760 Speaker 1: there's just so many different types of elements of what's 646 00:34:00,760 --> 00:34:04,400 Speaker 1: the term. The accellery jobs are the all the jobs 647 00:34:04,440 --> 00:34:09,160 Speaker 1: around the cannabis industry alcillary jobs, ancillary business. And this 648 00:34:09,200 --> 00:34:13,040 Speaker 1: is once again an ancillary type of commers and nails exactly. 649 00:34:13,239 --> 00:34:16,600 Speaker 1: And right here is a prime example of who knew. 650 00:34:17,600 --> 00:34:23,879 Speaker 1: That's US testing markets by one point two billion. And 651 00:34:23,960 --> 00:34:26,640 Speaker 1: you know, I think it's a pretty penny to put 652 00:34:26,680 --> 00:34:28,680 Speaker 1: into it. It's not gonna be a cheap make because 653 00:34:28,800 --> 00:34:31,360 Speaker 1: we already know that companies that do stuff like this 654 00:34:31,480 --> 00:34:34,040 Speaker 1: already you're looking at about a meal to get us 655 00:34:34,040 --> 00:34:38,200 Speaker 1: started because it's a very It's it's like a laboratory, 656 00:34:38,360 --> 00:34:41,480 Speaker 1: got a real testing laboratory, Like if you're testing, you know, 657 00:34:41,600 --> 00:34:44,760 Speaker 1: for cancer and all this other stuff. It's not testing 658 00:34:44,880 --> 00:34:49,200 Speaker 1: for medals and toxins and pesticides and do everything else 659 00:34:49,200 --> 00:34:52,280 Speaker 1: that could be harmful. Yeah, So that's my go green segment. 660 00:34:52,320 --> 00:34:54,040 Speaker 1: I have a couple more, but I think i'll say them. 661 00:34:54,040 --> 00:34:56,640 Speaker 1: I would love to hear some cannabis. We do have 662 00:34:56,760 --> 00:35:03,560 Speaker 1: cannabis goes bad. Oh man. This one out of Riverside, California, 663 00:35:05,040 --> 00:35:10,600 Speaker 1: our own backyard. Headline reads Mystery surrounds fatal shooting of 664 00:35:10,640 --> 00:35:16,440 Speaker 1: seven people at Riverside County cannabis grow house. Seven people murdered. 665 00:35:17,160 --> 00:35:20,960 Speaker 1: Authorities investigating the shooting deaths of seven people at a 666 00:35:21,000 --> 00:35:24,560 Speaker 1: cannabis growing facility in a remote corner of Riverside County 667 00:35:24,920 --> 00:35:27,359 Speaker 1: say they think the crime may have been carried out 668 00:35:27,400 --> 00:35:32,280 Speaker 1: by multiple assailants. Few details are known about the mass killing, 669 00:35:32,719 --> 00:35:35,720 Speaker 1: and detectives are still in the early stages of figuring 670 00:35:35,719 --> 00:35:38,360 Speaker 1: out what happened. This is not going to be an 671 00:35:38,400 --> 00:35:43,840 Speaker 1: easy investigations. At Riverside County Sheriff Chad Bianco when Sheriff's 672 00:35:43,880 --> 00:35:48,040 Speaker 1: deputies arrived Monday, it became clear the property was an obvious, 673 00:35:48,560 --> 00:35:54,520 Speaker 1: large scale, illegal cannabis processing center. There were hundreds of plants, 674 00:35:54,520 --> 00:35:59,400 Speaker 1: a makeshift greenhouse, a lab for using betane to extract 675 00:35:59,520 --> 00:36:02,960 Speaker 1: valuable THHC from pot plants, and more than what does 676 00:36:03,000 --> 00:36:04,560 Speaker 1: that make it sound like such a bad thing? It's 677 00:36:04,600 --> 00:36:07,480 Speaker 1: like what every facility has a big lab, did you 678 00:36:07,560 --> 00:36:09,120 Speaker 1: It's like you know, I mean, you're making it, but 679 00:36:09,120 --> 00:36:12,440 Speaker 1: it's like it's well, but this is an illegal, unsafe 680 00:36:12,520 --> 00:36:16,880 Speaker 1: lab where they're where they're likely blasting and doing doing 681 00:36:16,920 --> 00:36:19,839 Speaker 1: the things that could eventually lead to you being blown up. 682 00:36:20,040 --> 00:36:21,880 Speaker 1: Do it? You know what they're doing. They're doing the 683 00:36:21,920 --> 00:36:24,040 Speaker 1: same thing your brother did in his backyard for a year, 684 00:36:25,400 --> 00:36:30,600 Speaker 1: allegedly saying well, it's the same thing everybody did. It 685 00:36:31,520 --> 00:36:34,319 Speaker 1: sounds have you've seen the process with the two? I mean, 686 00:36:34,320 --> 00:36:38,040 Speaker 1: have you seen it? Never live? It's actually it's pretty 687 00:36:38,200 --> 00:36:40,319 Speaker 1: It's it's interesting. You're ever in the backyard when they 688 00:36:40,360 --> 00:36:42,160 Speaker 1: did it? Yeah, I've seen it. I saw I saw 689 00:36:42,200 --> 00:36:43,880 Speaker 1: it go down. And did you ever get like a 690 00:36:43,880 --> 00:36:46,479 Speaker 1: fresh scoop? No? No? Well yeah when it was done? 691 00:36:46,560 --> 00:36:49,279 Speaker 1: You know, do you have to wait after yees. It's 692 00:36:49,280 --> 00:36:52,120 Speaker 1: a whole process. Man, It's it's a process. Because then 693 00:36:52,120 --> 00:36:55,360 Speaker 1: you see where it's this long tube and the beauty 694 00:36:55,440 --> 00:36:57,439 Speaker 1: and goes through it and it extracts, and you see 695 00:36:57,480 --> 00:37:00,640 Speaker 1: all the ship all the garbage that's coming out, the 696 00:37:00,680 --> 00:37:04,160 Speaker 1: bad stuff, and you're keeping all the good stuff. How 697 00:37:04,160 --> 00:37:09,160 Speaker 1: does it drip into the funnel like a yeah screen, Yeah, 698 00:37:09,160 --> 00:37:11,080 Speaker 1: it's like a long tube and then it drips out. 699 00:37:11,120 --> 00:37:15,400 Speaker 1: I mean it's it's pretty intricate and dangerous, you know. 700 00:37:15,680 --> 00:37:18,560 Speaker 1: So so they find that a thousand pounds of processed 701 00:37:18,600 --> 00:37:22,120 Speaker 1: cannabis with the street value in the millions. They say, 702 00:37:22,160 --> 00:37:24,359 Speaker 1: we know about maybe, but you know, the last time 703 00:37:24,400 --> 00:37:26,640 Speaker 1: we did the math on that, they're right. So let's 704 00:37:26,680 --> 00:37:29,879 Speaker 1: just slo we can't be so eat critical on these 705 00:37:29,920 --> 00:37:31,480 Speaker 1: because we did the math on the last one and 706 00:37:31,520 --> 00:37:34,000 Speaker 1: they were pretty dead on. So this property was in 707 00:37:34,840 --> 00:37:38,279 Speaker 1: a Guoga, which is a hundred miles east of Los Angeles, 708 00:37:38,640 --> 00:37:43,120 Speaker 1: the sprawling operation. What's city a Guanga a g u 709 00:37:43,160 --> 00:37:46,799 Speaker 1: A and Wonga. No, it's a hundred miles east of 710 00:37:46,840 --> 00:37:51,239 Speaker 1: Los Angeles the riverside um. But the city is that dog, 711 00:37:51,280 --> 00:37:53,520 Speaker 1: Come on, you live out there, peanut, don't you? Well? 712 00:37:53,520 --> 00:37:56,600 Speaker 1: A Guanga. It's not a city. A Guanga is an 713 00:37:56,680 --> 00:38:02,720 Speaker 1: unincorporated uh neighborhood in Riverside County. Because remember, cities governed themselves. 714 00:38:02,760 --> 00:38:05,520 Speaker 1: They have city council, they have mayors. Then you have 715 00:38:05,719 --> 00:38:08,680 Speaker 1: like a forest area. Well you gotta remember counties like 716 00:38:09,080 --> 00:38:12,840 Speaker 1: Los Angeles County. Right within Los Angeles County you have 717 00:38:12,960 --> 00:38:17,440 Speaker 1: Los Angeles City, right, you have other cities within the county. 718 00:38:17,640 --> 00:38:23,760 Speaker 1: Then you have what are called unincorporated neighborhoods that function 719 00:38:24,000 --> 00:38:29,120 Speaker 1: under the county rules and regulations, like a Pasadena. Pasadena 720 00:38:29,160 --> 00:38:34,719 Speaker 1: is a city, Pasadena is a city. Example, Anza Anza, 721 00:38:34,880 --> 00:38:40,280 Speaker 1: which is in Riverside County, is an unincorporated neighborhood whereas 722 00:38:40,600 --> 00:38:42,279 Speaker 1: I've heard of it, but I don't know where you 723 00:38:42,320 --> 00:38:47,839 Speaker 1: say that night, you know where? So this whatever that 724 00:38:47,880 --> 00:38:53,319 Speaker 1: he just said, it's not which is an Indio Areaga 725 00:38:53,600 --> 00:38:59,799 Speaker 1: whatever you just said right now, is between Corona and Temecula. Ok. 726 00:39:00,200 --> 00:39:04,200 Speaker 1: So it's out there in the Wine country, the bottom 727 00:39:04,360 --> 00:39:06,520 Speaker 1: area where where where people like this field where you know, 728 00:39:06,560 --> 00:39:09,239 Speaker 1: we're in a safe place. We're never gonna nothing's ever 729 00:39:09,280 --> 00:39:12,480 Speaker 1: gonna happen. And hows to make by Paula up in 730 00:39:12,520 --> 00:39:14,480 Speaker 1: Paula area. So like you're going to the desert. You're 731 00:39:14,480 --> 00:39:17,360 Speaker 1: basically out in the desert area. Yeah, on towards Diego. 732 00:39:17,440 --> 00:39:22,839 Speaker 1: Yeah yeah. Off the fifteen, it says the seventy nine 733 00:39:23,840 --> 00:39:27,560 Speaker 1: got to go out, so law enforcement saying that this 734 00:39:27,640 --> 00:39:30,960 Speaker 1: was not that they just happened to be growing cannabis. 735 00:39:31,000 --> 00:39:34,840 Speaker 1: This was a very large operation, very organized crime. But 736 00:39:34,920 --> 00:39:36,520 Speaker 1: there's a lot of land out there to be doing 737 00:39:36,560 --> 00:39:39,040 Speaker 1: stuff like this that. Yes, Yes, and the deputies were 738 00:39:39,080 --> 00:39:41,160 Speaker 1: called out to the house on reports of an assault 739 00:39:41,239 --> 00:39:46,200 Speaker 1: shortly after midnight Monday, found six people dead from gunshots. 740 00:39:46,560 --> 00:39:50,600 Speaker 1: A seventh victim, a woman, was alive, but died shortly 741 00:39:50,640 --> 00:39:54,600 Speaker 1: after at the hospital. Authorities did not identify any of 742 00:39:54,640 --> 00:39:59,120 Speaker 1: the victims. Tuesday, Mark Jones, who lives nearby, told the 743 00:39:59,160 --> 00:40:03,239 Speaker 1: Press Enterprise Eyes that he heard three separate volleys of gunshots. 744 00:40:03,880 --> 00:40:06,960 Speaker 1: Soon after, He said, fire trucks and emergency vehicles arrived. 745 00:40:07,320 --> 00:40:11,880 Speaker 1: Trash littered the grounds Tuesday. Women's clothing and soda bottles 746 00:40:11,880 --> 00:40:15,200 Speaker 1: were strewn across the trailer's front porch. A pick up 747 00:40:15,239 --> 00:40:18,279 Speaker 1: with was parked out front, its doors flung open to 748 00:40:18,320 --> 00:40:21,600 Speaker 1: show clothing draped on the seats and an enveloped on 749 00:40:21,640 --> 00:40:26,480 Speaker 1: the floor marked eight three hundred dollars. Behind the trailer 750 00:40:26,560 --> 00:40:30,640 Speaker 1: was a greenhouse. Its cover was torn open. Grow plugs 751 00:40:30,800 --> 00:40:34,920 Speaker 1: used to sprout cannabis seedlings were scattered all over the ground. 752 00:40:35,360 --> 00:40:38,279 Speaker 1: Six metal folding chairs had been arrayed in a row. 753 00:40:38,920 --> 00:40:43,280 Speaker 1: A seventh was nearby, empty pizza boxes and water bottles 754 00:40:43,320 --> 00:40:47,040 Speaker 1: stacked on top of it. And you know, it sounds 755 00:40:47,080 --> 00:40:49,480 Speaker 1: like these people got hit when they were having a 756 00:40:49,480 --> 00:40:55,400 Speaker 1: little pizza party, possibly afterwards. Either way, it just sucks, man. 757 00:40:55,440 --> 00:40:57,480 Speaker 1: I feel bad for cats like that, you know. I mean, 758 00:40:57,480 --> 00:41:00,960 Speaker 1: you're just out there trying to make up commit crimes. 759 00:41:01,000 --> 00:41:03,520 Speaker 1: And I mean, but that's part of the game if 760 00:41:03,560 --> 00:41:06,160 Speaker 1: you're because he can't. When you say it like that, 761 00:41:06,280 --> 00:41:09,400 Speaker 1: you know you're committing crimes. Is growing it is actually, 762 00:41:09,480 --> 00:41:13,839 Speaker 1: I'm not about to say growing illegally idiot manufacturing. They were, Yeah, 763 00:41:13,880 --> 00:41:16,560 Speaker 1: they're doing everything about it. I mean, illegal operation. That's 764 00:41:16,600 --> 00:41:19,880 Speaker 1: gonna bring the other illegal people out of the woodwork 765 00:41:20,600 --> 00:41:23,359 Speaker 1: and come after you. So, I mean, don't you think though, 766 00:41:23,360 --> 00:41:25,239 Speaker 1: when you have those illegal ones, you even have more 767 00:41:25,320 --> 00:41:27,439 Speaker 1: armed security than a regular legal one. Because these legal 768 00:41:27,440 --> 00:41:29,000 Speaker 1: ones they have armed security. You can't even get to 769 00:41:29,040 --> 00:41:31,440 Speaker 1: the gates. These legal ones, folks, they have like if 770 00:41:31,440 --> 00:41:34,120 Speaker 1: you've never been to one. They're like gated, almost like 771 00:41:34,239 --> 00:41:36,439 Speaker 1: a prison. You have the gate, you have a gate 772 00:41:36,480 --> 00:41:38,320 Speaker 1: around it. You can only get in through one gate, 773 00:41:38,560 --> 00:41:40,160 Speaker 1: and then that gate that you go through is a 774 00:41:40,200 --> 00:41:43,680 Speaker 1: security guard that's armed, and then there's another armed security 775 00:41:43,719 --> 00:41:46,560 Speaker 1: guard inside the gates. So if you get through one, 776 00:41:46,600 --> 00:41:48,120 Speaker 1: you gotta get through the other one. And then the 777 00:41:48,160 --> 00:41:50,439 Speaker 1: inside of the gates to get into the buildings. There's 778 00:41:50,440 --> 00:41:53,120 Speaker 1: always codes, there's always locks. It's not like you're just 779 00:41:53,239 --> 00:41:55,200 Speaker 1: able to get in. You would think they would have. 780 00:41:55,400 --> 00:41:57,520 Speaker 1: You would think that they would do like that. If 781 00:41:57,520 --> 00:41:59,160 Speaker 1: I had a legal one, I would do it that way. 782 00:41:59,280 --> 00:42:01,920 Speaker 1: It's just super same way that illegal one does to 783 00:42:02,000 --> 00:42:03,800 Speaker 1: keep us safe. But then you play the game of 784 00:42:03,880 --> 00:42:06,560 Speaker 1: I'm hiring somebody with a gun to watch this illegal 785 00:42:07,480 --> 00:42:11,879 Speaker 1: you who knows how about moral of the story. Don't 786 00:42:11,880 --> 00:42:15,200 Speaker 1: do illegal operations. I don't know. It isn't that the 787 00:42:16,120 --> 00:42:18,760 Speaker 1: double edged sword, because that's how the game has been done. 788 00:42:18,960 --> 00:42:21,600 Speaker 1: I mean, you guys started, you've seen it, you've known 789 00:42:21,640 --> 00:42:23,520 Speaker 1: it for years. It's just like part of the way 790 00:42:23,960 --> 00:42:27,560 Speaker 1: you get culture. It's it's the cannabis culture. I just 791 00:42:27,600 --> 00:42:30,840 Speaker 1: hate that they're just killing people over come on, folks. Yeah, 792 00:42:30,840 --> 00:42:33,759 Speaker 1: well that's the criminal enterprise. Al right, here we go. 793 00:42:33,840 --> 00:42:39,040 Speaker 1: We got out of Waterbury, Florida. The headline reads, teacher 794 00:42:39,160 --> 00:42:48,360 Speaker 1: gets job offer rescinded after disclosing medical cannabis prescription. Waterbury, Florida. 795 00:42:48,440 --> 00:42:52,960 Speaker 1: A local teacher was recently let go after revealing to 796 00:42:53,000 --> 00:42:57,480 Speaker 1: the district officials that she was prescribed medical cannabis to 797 00:42:57,560 --> 00:43:04,000 Speaker 1: treat a serious medical condition. Earlier in the year, Abigail Peck, 798 00:43:04,280 --> 00:43:09,759 Speaker 1: a licensed medical cannabis patient in Florida, was busy applying 799 00:43:09,800 --> 00:43:12,480 Speaker 1: for jobs in Connecticut, where she'd soon be moving with 800 00:43:12,520 --> 00:43:16,360 Speaker 1: her family. One of the schools where she considered teaching 801 00:43:16,480 --> 00:43:22,400 Speaker 1: was Tinker Elementary School in Waterbury, who eventually contacted her 802 00:43:22,440 --> 00:43:27,520 Speaker 1: back for an interview after moving to Connecticut. Completing the 803 00:43:27,560 --> 00:43:32,440 Speaker 1: interview process, school administrators offered Peck a position as a 804 00:43:32,560 --> 00:43:37,520 Speaker 1: music teacher, which she was eager to accept. Before signing 805 00:43:37,520 --> 00:43:44,319 Speaker 1: the contract, however, Peck voluntarily disclosed to her superiors that 806 00:43:44,400 --> 00:43:49,319 Speaker 1: she was diagnosed with the serious autoimmune disease that required 807 00:43:49,360 --> 00:43:52,480 Speaker 1: her to use medical cannabis as part of a larger 808 00:43:52,520 --> 00:43:57,760 Speaker 1: treatment regiment. I tink her idea to say. They told 809 00:43:57,800 --> 00:44:01,480 Speaker 1: her this would be fine as long as she had 810 00:44:01,520 --> 00:44:06,200 Speaker 1: a doctor's recommendation, not a problem. When they sent me 811 00:44:06,320 --> 00:44:11,160 Speaker 1: back for the drug screening, it tested positive for cannabis, 812 00:44:11,160 --> 00:44:15,120 Speaker 1: said Peck. Then they immediately contacted me and put me 813 00:44:15,200 --> 00:44:21,400 Speaker 1: on administrative leave. After replanning the diagnosis and presenting a 814 00:44:21,440 --> 00:44:26,240 Speaker 1: Florida medical cannabis license to school officials, Abigail was told 815 00:44:26,480 --> 00:44:30,360 Speaker 1: to apply for a Connecticut issued license to replace the 816 00:44:30,440 --> 00:44:35,200 Speaker 1: one from Florida. She did so immediately and was granted 817 00:44:35,200 --> 00:44:39,360 Speaker 1: a license from Connecticut shortly thereafter. You would think everything 818 00:44:39,360 --> 00:44:42,160 Speaker 1: would be done by them upon receiving an authorized in 819 00:44:42,239 --> 00:44:48,040 Speaker 1: state doctor's recommendation. Although she had been doing everything by 820 00:44:48,080 --> 00:44:53,440 Speaker 1: the books and was already officially hired, she was hired. 821 00:44:53,840 --> 00:44:57,759 Speaker 1: The school suddenly rescinded the job offer I received. She 822 00:44:57,960 --> 00:45:02,520 Speaker 1: moved from Florida to Connecticut and we hired school and 823 00:45:02,640 --> 00:45:06,880 Speaker 1: was was hired. I received a call two weeks after 824 00:45:06,920 --> 00:45:09,920 Speaker 1: all my paperwork was turned in, explained Peck. When they 825 00:45:09,960 --> 00:45:11,960 Speaker 1: called me in for a meeting, I assumed it was 826 00:45:12,000 --> 00:45:15,399 Speaker 1: to begin employment, but they handed me my termination letter 827 00:45:15,960 --> 00:45:19,319 Speaker 1: based on the fact that my medical card was not 828 00:45:19,520 --> 00:45:23,880 Speaker 1: active in Connecticut at the time. After the job offer 829 00:45:24,000 --> 00:45:27,280 Speaker 1: was rescinded. Peck hired a lawyer and filed a lawsuit. 830 00:45:27,880 --> 00:45:30,759 Speaker 1: She hopes it will prevent others from being treated with 831 00:45:30,840 --> 00:45:35,279 Speaker 1: similar medical cannabis form facing similar situations. We hear this 832 00:45:35,440 --> 00:45:39,520 Speaker 1: all the time. People are getting tested at jobs and 833 00:45:39,600 --> 00:45:43,160 Speaker 1: they are getting fired for cannabis being in their system. 834 00:45:43,680 --> 00:45:48,680 Speaker 1: Is ridiculous. It is unless the job says you can't 835 00:45:48,719 --> 00:45:52,520 Speaker 1: have that in your system. Well, but but hold on, 836 00:45:52,719 --> 00:45:57,680 Speaker 1: hold on, I smoked last week, I was off for 837 00:45:57,719 --> 00:45:59,719 Speaker 1: a week, and now I came to work and they 838 00:45:59,800 --> 00:46:02,759 Speaker 1: ran to themally drug testament. It's still in my system. 839 00:46:02,840 --> 00:46:05,640 Speaker 1: How the how is that fair? On any I'm gonna 840 00:46:05,680 --> 00:46:09,080 Speaker 1: I'm gonna tell you if I'm your employer, Okay, And 841 00:46:09,280 --> 00:46:13,080 Speaker 1: in the job requirements it says clearly, if you ever 842 00:46:13,280 --> 00:46:18,839 Speaker 1: test for cannabis, you will be terminated. Ever test for 843 00:46:18,960 --> 00:46:23,920 Speaker 1: cannabis unemployed here, you will be terminated. Line four B. Now, 844 00:46:23,960 --> 00:46:26,760 Speaker 1: what if it says if you test for illegal drugs? 845 00:46:27,920 --> 00:46:30,600 Speaker 1: What is illegal drugs? Is your next statement? And then 846 00:46:30,640 --> 00:46:33,000 Speaker 1: you have to clarify you know, I don't know, but 847 00:46:33,120 --> 00:46:37,080 Speaker 1: that's often what employment contracts say. And well, then as 848 00:46:37,160 --> 00:46:40,759 Speaker 1: you as the employee, you would have to go to 849 00:46:40,800 --> 00:46:45,200 Speaker 1: your employer before you accept the job. Are after you 850 00:46:45,280 --> 00:46:47,680 Speaker 1: accept the job and say, can I get clarification on 851 00:46:47,800 --> 00:46:54,080 Speaker 1: four D because it says drugs? What are drugs? Is 852 00:46:54,120 --> 00:46:56,719 Speaker 1: it heroin? And is it acid? Even if you have 853 00:46:56,800 --> 00:47:00,120 Speaker 1: a recommendation for cannabis, apparently it still doesn't matter her 854 00:47:00,320 --> 00:47:02,640 Speaker 1: And because as the employer, the employer has the right 855 00:47:02,680 --> 00:47:04,919 Speaker 1: to do that. So I'm on the other side. Well 856 00:47:04,960 --> 00:47:07,520 Speaker 1: so so people Actually we get questions, We get calls 857 00:47:07,560 --> 00:47:09,440 Speaker 1: all the time from people I'm trying to get this 858 00:47:09,520 --> 00:47:11,200 Speaker 1: job and it says like this, and what kind of 859 00:47:11,239 --> 00:47:13,400 Speaker 1: what should I do? I go get another job, Go 860 00:47:13,400 --> 00:47:15,840 Speaker 1: go go look for a job where they're not going 861 00:47:15,880 --> 00:47:18,520 Speaker 1: to frown on that are are make sure you're your 862 00:47:18,560 --> 00:47:20,800 Speaker 1: owner knows this or you know that the company knows, 863 00:47:20,840 --> 00:47:23,160 Speaker 1: because but then you run the risk if you tell 864 00:47:23,200 --> 00:47:27,440 Speaker 1: them it's at But this is this, this story is 865 00:47:28,440 --> 00:47:31,200 Speaker 1: it's unbelievable. And I'm gonna look into this lawsuit. We'll 866 00:47:31,239 --> 00:47:33,600 Speaker 1: follow it. I'm gonna I want to see what happens 867 00:47:33,600 --> 00:47:35,560 Speaker 1: to this is maybe that's another pro bono. You should 868 00:47:35,680 --> 00:47:39,399 Speaker 1: just fly Connecticut and we'll see what we can do. 869 00:47:39,480 --> 00:47:42,680 Speaker 1: But you know that it's just uh, it's never gonna 870 00:47:42,800 --> 00:47:44,160 Speaker 1: it'll be great if we can get ahold of her. 871 00:47:44,200 --> 00:47:46,120 Speaker 1: Matter of fact, Peanut, work on her. If we can't 872 00:47:46,120 --> 00:47:48,359 Speaker 1: get ahold of her now and find her, we'll just 873 00:47:48,560 --> 00:47:51,520 Speaker 1: get her on another time and uh just talk about 874 00:47:51,520 --> 00:47:53,279 Speaker 1: their story again. But hopefully shall come on with us. 875 00:47:53,280 --> 00:47:55,360 Speaker 1: It'd be interesting to hear her side, because you know, 876 00:47:55,400 --> 00:47:57,160 Speaker 1: what does she say she had a sarap posy or 877 00:47:57,200 --> 00:48:02,920 Speaker 1: what was it? Some atto immune disease that she needed it? God, 878 00:48:03,000 --> 00:48:05,000 Speaker 1: she feels so bad for somebody like that, and that 879 00:48:05,120 --> 00:48:09,680 Speaker 1: damn tinker and they're talking about a time frame. She 880 00:48:09,680 --> 00:48:13,799 Speaker 1: she ultimately got that Connecticut card, but after she did 881 00:48:13,800 --> 00:48:16,839 Speaker 1: the drug screening. I mean, come on, all right out 882 00:48:16,840 --> 00:48:19,719 Speaker 1: of Niceville, Florida. Does it sound like it's gonna be 883 00:48:19,719 --> 00:48:24,799 Speaker 1: a nice story, just because probably ain't gonna be nothing nice. Now, 884 00:48:24,920 --> 00:48:29,200 Speaker 1: take your head out of the gutter, Joe, and don't 885 00:48:29,200 --> 00:48:32,560 Speaker 1: do anything with what I'm about to say without a 886 00:48:32,640 --> 00:48:36,360 Speaker 1: nice Bill Horde, nice Ville, nice Ville, Florida. The headline reads, 887 00:48:37,040 --> 00:48:42,120 Speaker 1: car rocking back and forth yields teens with cannabis nuggets 888 00:48:42,200 --> 00:48:44,640 Speaker 1: and a scale. Now, why do you think that car 889 00:48:44,760 --> 00:48:47,479 Speaker 1: was rocking back and forth? Probably because they were listening 890 00:48:47,560 --> 00:48:50,200 Speaker 1: to music roll out and they were dancing. Okay, here 891 00:48:50,239 --> 00:48:52,640 Speaker 1: we go. That's what I would think. Why are you thinking? 892 00:48:52,960 --> 00:48:56,000 Speaker 1: You thought they had sex? A seventeen year old boy 893 00:48:56,239 --> 00:49:00,840 Speaker 1: was charged with drug and drug equipment possession and after 894 00:49:01,440 --> 00:49:07,440 Speaker 1: switching seats with his friend during a traffic scale. They no, 895 00:49:07,560 --> 00:49:11,040 Speaker 1: they had drugs and drug equipment, but just weed, right, weed, 896 00:49:11,080 --> 00:49:14,200 Speaker 1: And well maybe if I can get through the story, uh, 897 00:49:14,200 --> 00:49:19,600 Speaker 1: and you stop interrupting me, we can figure. Let's see. 898 00:49:19,640 --> 00:49:22,960 Speaker 1: At Niceville, police officers were pulled over a car going 899 00:49:23,160 --> 00:49:26,520 Speaker 1: fifty four miles an hour in a thirty five mile zone. 900 00:49:27,120 --> 00:49:31,040 Speaker 1: Once stopped, the vehicle began rocking side to side as 901 00:49:31,040 --> 00:49:34,799 Speaker 1: if people were moving. According to the arrest report. When 902 00:49:34,840 --> 00:49:39,040 Speaker 1: the officer approached the vehicle, the front passenger was fumbling 903 00:49:39,040 --> 00:49:42,000 Speaker 1: with his seatbelt. The officer asked him to get out 904 00:49:42,040 --> 00:49:45,360 Speaker 1: of the car, as it appeared they had switched seats. 905 00:49:45,880 --> 00:49:48,520 Speaker 1: The officer asked the boy, who was now sitting in 906 00:49:48,520 --> 00:49:53,399 Speaker 1: the driver's seat, why they switched. The boy said he 907 00:49:53,480 --> 00:49:56,920 Speaker 1: was tired, so he asked his friend to drive. He 908 00:49:57,080 --> 00:50:00,960 Speaker 1: was detained and the officer searched the vehicle. The officer 909 00:50:01,040 --> 00:50:05,960 Speaker 1: could smell cannabis, so he asked the boy how much 910 00:50:06,080 --> 00:50:08,040 Speaker 1: was in the car? Can you stop saying, boy like 911 00:50:08,120 --> 00:50:10,839 Speaker 1: that place? Jees making me nervous. This is the this 912 00:50:10,920 --> 00:50:15,239 Speaker 1: is the article, right, it's a seventeen year old boy. 913 00:50:16,600 --> 00:50:19,200 Speaker 1: Just because you have just because you have thoughts of 914 00:50:19,239 --> 00:50:22,120 Speaker 1: seventeen year old boys, Let me get through the damn 915 00:50:22,239 --> 00:50:29,520 Speaker 1: story here. Welcome to Hollywood, they started. That's that's the 916 00:50:29,520 --> 00:50:36,640 Speaker 1: whole side story show. So he said he had. The 917 00:50:36,719 --> 00:50:40,000 Speaker 1: boy said he had more than a Graham. The officer 918 00:50:40,040 --> 00:50:42,880 Speaker 1: found a small black plastic bag tied in and not 919 00:50:43,160 --> 00:50:46,799 Speaker 1: under the front passenger seat. It contained twenty three point 920 00:50:46,880 --> 00:50:51,840 Speaker 1: six three grams of small cannabis nuggets. The officer also 921 00:50:51,880 --> 00:50:54,040 Speaker 1: found a scale, So there you go. They found some 922 00:50:54,120 --> 00:50:59,560 Speaker 1: cannabis nuggets and a scale. The boy admitted to owning 923 00:50:59,800 --> 00:51:03,520 Speaker 1: the drugs and the scale. So does that make him 924 00:51:03,560 --> 00:51:06,560 Speaker 1: get out of it? Hey? This is mine? That well? 925 00:51:06,560 --> 00:51:10,400 Speaker 1: So what that they were in Niceville, Florida, or you 926 00:51:10,440 --> 00:51:13,000 Speaker 1: could have a little bit well, and and it's this 927 00:51:13,080 --> 00:51:17,480 Speaker 1: is good to point out because this kid did everything wrong, admitted, 928 00:51:17,520 --> 00:51:21,279 Speaker 1: admitted what he had, said what he had if he 929 00:51:21,320 --> 00:51:24,920 Speaker 1: had said nothing. Now we're of course attorneys in California, 930 00:51:24,920 --> 00:51:27,120 Speaker 1: and this is Florida. But we know that Florida has 931 00:51:27,160 --> 00:51:32,880 Speaker 1: gone medical, right, So what he's done now is taken 932 00:51:32,920 --> 00:51:37,799 Speaker 1: away the opportunity for his attorney to argue that there 933 00:51:37,880 --> 00:51:40,839 Speaker 1: was some sort of illegal search. If he hadn't said 934 00:51:40,880 --> 00:51:45,760 Speaker 1: anything and the cop searched for that smell, at least 935 00:51:46,880 --> 00:51:51,320 Speaker 1: the attorney can make the argument that that smell alone 936 00:51:52,560 --> 00:51:55,560 Speaker 1: could very well have been medical cannabis that he had. 937 00:51:55,600 --> 00:52:00,560 Speaker 1: And because it's medicinal right now, because it's medicinal, the 938 00:52:00,600 --> 00:52:05,360 Speaker 1: smell in and of itself doesn't necessarily mean there's criminal 939 00:52:05,400 --> 00:52:10,400 Speaker 1: activity going on. But because he said, here it is, 940 00:52:10,480 --> 00:52:12,759 Speaker 1: this is what I have, and this is it, and 941 00:52:12,840 --> 00:52:15,720 Speaker 1: that's over and done and he's toasted. And the moral 942 00:52:15,800 --> 00:52:18,040 Speaker 1: of the story your mouth and don't have a weeded 943 00:52:18,040 --> 00:52:21,680 Speaker 1: scale in your car ever, admit anything and let your 944 00:52:21,680 --> 00:52:26,480 Speaker 1: attorney fight later. And that, Joe is when cannabis goes bad. Well, 945 00:52:26,480 --> 00:52:29,080 Speaker 1: thank you guys for listening to the podcast Cannabis Talk 946 00:52:29,120 --> 00:52:32,280 Speaker 1: one oh one all around the World. Blue. We miss you, Craig, 947 00:52:32,320 --> 00:52:34,880 Speaker 1: We miss you. But you know what, nothing like the 948 00:52:34,920 --> 00:52:37,239 Speaker 1: Grande Wash Show, that's right. And you know, if you 949 00:52:37,280 --> 00:52:42,160 Speaker 1: wanna give us a call eight hundred zero n that's 950 00:52:42,160 --> 00:52:46,080 Speaker 1: the number and if nobody else loves you, we do. 951 00:52:46,360 --> 00:52:48,719 Speaker 1: Thank you for listening to Cannabis Talk one oh one 952 00:52:48,719 --> 00:52:51,920 Speaker 1: on the I Heart Radio app, Apple podcast, or wherever 953 00:52:52,000 --> 00:52:53,200 Speaker 1: you get your podcasts.