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Speaker 1: It's now time for Cannabis Talk one oh one with Blue,

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Speaker 1: Joe Grande and Mark and Craig Wasserman the Pot Brothers

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Speaker 1: at Law. We're the world's number one podcast for everything cannabis. Hello,

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Speaker 1: Welcome to Cannabis Talk one oh one Monday is Blue.

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Speaker 1: Alongside of me is the world famous Pot Brothers in

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Speaker 1: Law and Mr Joe Grande. Hi, Mr Wrights, and you

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Speaker 1: are now tuned into the greatest cannabis show on today's planets.

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Speaker 1: Either way, Thank you guys all for listening to the

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Speaker 1: podcast all around the world. You ever want to be

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Speaker 1: a part of. It is the number Make sure you

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Speaker 1: check out the Instagram pages at Cannabis Talk one oh one,

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Speaker 1: at Pot Underscore Brothers Underscore at Underscore Law. Mark is

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Speaker 1: no power so we can't be on hontage today as

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Speaker 1: the power just went out at his house. But he's

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Speaker 1: at wass Law. Craig is at wash Law. Dog please

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Speaker 1: d m him to wake him up every once in

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Speaker 1: a while, just because we'd like to keep him alert

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Speaker 1: at all times. Blue is at one, Christopher writes, and

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Speaker 1: I am at Joe grand fifty two. Thank you so

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Speaker 1: much for listening to the show and our guest today,

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Speaker 1: Michael Zindel. What a nice last name. I don't know why.

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Speaker 1: It sounds like a good bottle of wine or something.

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Speaker 1: Mr Zindel, I would like a bottle please. Sounds like

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Speaker 1: a successful name, and he does. He has a nice

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Speaker 1: jacket on the whole nine. I mean he's from Think

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Speaker 1: twenty labs. Think twenty labs dot com is the website,

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Speaker 1: co founder of it. We're gonna get to it all

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Speaker 1: and talk about all that, but I got a couple

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Speaker 1: of stories that I want to talk to you guys

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Speaker 1: all about and share with you. And please, Michael elaborate

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Speaker 1: in on the conversation that I'm about to go green

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Speaker 1: with because Bill Maher slams a CBD oil company for

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Speaker 1: using his name. Now, Bill Maher is not the first

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Speaker 1: celebrity to be used in a CBD scam, but is

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Speaker 1: the first to complain about it on a national television show.

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Speaker 1: On his return to real time after a month long break,

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Speaker 1: Bill reserved his anger for CBD and one of his

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Speaker 1: new rules, and he says, this is a quote, stop

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Speaker 1: putting my name on your CBD products. Thout my permission.

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Speaker 1: If you see an ad like this, it's bullshit. I

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Speaker 1: do not sell CBD oil. I do not endorse CBD

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Speaker 1: oil one clue. This is a scam. I'm Bill Maher,

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Speaker 1: and it's made from the parts of the cannabis plant

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Speaker 1: that don't get you high. It's not outrageous to learn

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Speaker 1: that you're being used to sell something without your knowledge.

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Speaker 1: Enjoy hearing from my lawyer's assholes, is what he's saying. So,

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Speaker 1: Bill Mare, if you don't know huge cannabis consumer, right,

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Speaker 1: I've been to parties with dude and he's smoking everywone

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Speaker 1: from way back when he's always been a smoker. Other

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Speaker 1: celebrities that have been you know, hit with it, like

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Speaker 1: Bruce Springsteen Lester Hole Junior for example. But you know

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Speaker 1: there's other big cats like Kristen Bell, Magic Johnson that

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Speaker 1: are out there putting some stuff out there that that

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Speaker 1: are you know, just regularly really working or CBD like

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Speaker 1: therefore the cbody doing it. But Bill Maher is not

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Speaker 1: a part of this whole. I like CBD and it's

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Speaker 1: good for everybody because he's the TC aspect smokes and

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Speaker 1: it's and it's funny though that's companies out there are

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Speaker 1: trying to grab cats to capitalize. What are they calling

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Speaker 1: it the Bill Mare experience, and what I mean, what

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Speaker 1: is it? I didn't get so far into it. And

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Speaker 1: you know, they're just saying that there was a company,

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Speaker 1: and I didn't even want to give the company the

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Speaker 1: shout out to give them either way. They're saying Bill

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Speaker 1: Mare is endorsing this CBD product, right, So it's kind

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Speaker 1: of like what people were doing before the Pop Brothers

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Speaker 1: at Law got their own product. You know, people are

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Speaker 1: just saying that Pop Brothers out Law like this. And

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Speaker 1: you just find an old man sleeping and say it's Craig,

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Speaker 1: you know, and wakes him up. There's just this old

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Speaker 1: dude with ship in his pants, and that's Craig washing

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Speaker 1: and he likes it. Why do you laugh when I

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Speaker 1: make fun of you and rip you? It's funny because

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Speaker 1: you can't hear that. I your mike's not even on,

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Speaker 1: so old you got your mike off. I'm sorry, it's

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Speaker 1: probably there is two shows in a row. It's two

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Speaker 1: shows to row. You've ragged on my age keeping score.

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Speaker 1: You know what? You know what that means, Craig, that

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Speaker 1: I love you twice as much? That's right? Oh, no,

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Speaker 1: that that it's getting old Joe. It's getting old Joe,

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Speaker 1: but your old jokes jokes, shut up your fab in

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Speaker 1: her mouth. Hold on, hold on, I gotta go get

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Speaker 1: some pop that law CBD exactly that you can endorse

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Speaker 1: sless plugs CBD dot com and you'll get the real

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Speaker 1: stuff exactly. You want to get knocked out like Craig was,

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Speaker 1: just you know, you can touch the mic. You get

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Speaker 1: it from our wonderful sponsor, Smoking Go USA right here

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Speaker 1: in Westminster, California. Either way, it's just funny to see

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Speaker 1: how Bill Maher just are anybody who gets you know,

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Speaker 1: capitalized on it's an a list person and a CBD

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Speaker 1: company just takes their likeness and just bullshit and does

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Speaker 1: that where it's like, you know that's money. Listen, that's this.

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Speaker 1: It's click bait. Unfortunli bait gets bad actors, right. I mean,

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Speaker 1: we're gonna have a lot of people that are that

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Speaker 1: are coming into this industry that are just reaching their

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Speaker 1: just coming to get fast food right there. They're not

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Speaker 1: here to stay. Um, so it's just a bad actor

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Speaker 1: and they're they're here for a very small period of time.

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Speaker 1: They will not make it, and you know, it just

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Speaker 1: puts a bad taste and there's something out there and

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Speaker 1: and they're making some money on it, which is you

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Speaker 1: know how how the game works, right, you capitalize on

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Speaker 1: someone likes this, and that's what you go. So I

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Speaker 1: feel for that it's a good green because someone's making money.

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Speaker 1: Bill Moore's not have because he ain't making money over

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Speaker 1: don't use my likeness if I am making no paper

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Speaker 1: on it. Not only that, I'm not even endorsing CBD,

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Speaker 1: I I'm not even for it. While speaking of that,

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Speaker 1: it probably doesn't have any kind of testing or any

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Speaker 1: relevancy behind it, right so, I mean exactly so we

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Speaker 1: could probably speak on big thing to do is for

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Speaker 1: education as far as Bill Maher is educated exactly what's

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Speaker 1: out there, what the markets like, and like what authority

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Speaker 1: is it behind all the information to that? Well, I

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Speaker 1: think it was think I think twenty Labs was the

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Speaker 1: one who put it out, but I don't know. I

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Speaker 1: gotta go to this, but we'll figure it out. With

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Speaker 1: Michael's I almost put out his water right there that

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Speaker 1: this is a great go green one right here? You

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Speaker 1: ready for this one? You guys gonna love the story.

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Speaker 1: When Maximilian White is the gentleman's name Maximilian White loved

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Speaker 1: the name first off, just was dope right. Was approached

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Speaker 1: in his Portuguese nightclub with an opportunity to open up

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Speaker 1: his own cannabis farm. He nearly turned it down because

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Speaker 1: it wasn't his forte You know what I mean, I

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Speaker 1: don't have a farm, might do nightclubs, but what do

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Speaker 1: you guys want from me? Well, after doing some extensive research,

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Speaker 1: the forty year old decided to part with an eighteen

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Speaker 1: million dollar and a four years later that he's making

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Speaker 1: He's making billions, you guys. Four years the father of

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Speaker 1: four is now making two to four billion dollars a

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Speaker 1: year and has his sights set on using his laboratories

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Speaker 1: to create tailored strains based on someone's DNA sample. Max's

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Speaker 1: company is one dedicated to the pharmaceutical market, so much

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Speaker 1: that they have currently formulated exclusive strains based on DNA samples.

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Speaker 1: He said, We'll be able to send a swab to

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Speaker 1: your house and with the information from that swab, will

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Speaker 1: be able to know what kind of problems you're gonna

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Speaker 1: have within the next ten years, and we'll be able

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Speaker 1: to build a strain of marijuana, especially for your body

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Speaker 1: and your elements. Over those next ten years, there will

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Speaker 1: be an app that gives us second to second, minute

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Speaker 1: to minute on your sleeping, your heartbeat, how you're dealing

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Speaker 1: with the medication, and the information will be sent back

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Speaker 1: to us. Then the people that are holding to know

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Speaker 1: where we can tweak it for you later down the line.

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Speaker 1: I think this type of research and this type of product,

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Speaker 1: I don't even know if it's possible, but I fucking

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Speaker 1: love the fact that they're going that route. Yeah, this

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Speaker 1: is a pharm of the genetics, and it's the study

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Speaker 1: of the DNA and how our NA effects proteins and

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Speaker 1: how we have UM. It's basically, yeah, personalized medicine. And Michael,

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Speaker 1: I kind of grabbed that story because I figured you'd

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Speaker 1: be able to you know, is this something that more

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Speaker 1: labs are going to as you have think dot com.

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Speaker 1: This is the holy grail that's out there. Whether they

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Speaker 1: have achieved this or not, I mean time will tell,

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Speaker 1: but this is the holy grail. Is this is what

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Speaker 1: people are trying to get you right and which is

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Speaker 1: going to alluding to what we've been screaming for years,

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Speaker 1: this research where I kind of want the point to be, Michael,

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Speaker 1: where my hip hurts. I have a headache. Okay, do

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Speaker 1: this amount at two d and sixty pounds. This should

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Speaker 1: be yours for a mail. Do this amount of cannabis

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Speaker 1: and this we will eliminate the research and education that

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Speaker 1: we're looking for because you know, Joe and I don't

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Speaker 1: consume every day all day. Right, where's Craig and Mark do?

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Speaker 1: And and you can look at you can tell look

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Speaker 1: at him, he's already smoked two joints. You need to

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Speaker 1: smoke a little more too. I know I don't know

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Speaker 1: so well, but but the the reason is because I

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Speaker 1: don't get the same experience every single time. If I

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Speaker 1: if I got the same experience and I knew I

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Speaker 1: liked that experience, I'll be okay with it, which is

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Speaker 1: why I like to drink, you know. And the bottom line,

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Speaker 1: shot or two, I know where I feel. If I

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Speaker 1: had a joint one day, I'm over here in the

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Speaker 1: corner going, god, dude, I can't believe I hit that,

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Speaker 1: and I don't know why, and I don't want to

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Speaker 1: be here, you know what I mean. I don't have

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Speaker 1: that experience yet. And and there was a point where

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Speaker 1: I smoked. I mean, I've been through my age where

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Speaker 1: I smoked so much and it didn't matter what I did, right,

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Speaker 1: I mean, I could just smoke all day long road

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Speaker 1: point now or whatever it was, I'll hit a bong.

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Speaker 1: I'd hit the gravity bong. But now I'm you know,

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Speaker 1: I'm like, look, I don't want to come to work.

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Speaker 1: I don't want to smoke during work. I don't want

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Speaker 1: to get It's like I don't want to drink during work.

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Speaker 1: You know. So a lot of people don't you understand that.

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Speaker 1: But for for me, if if there was something that

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Speaker 1: I could smoke during work and it said and it

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Speaker 1: gave me a clarity and it let me work all day,

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Speaker 1: then I would do that. Or if you can get

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Speaker 1: into an app, like but what you're what you're missing

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Speaker 1: out on is this question here when you're talking about

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Speaker 1: all this fancy stuff and it going being on an

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Speaker 1: app and going to someone's going to someone's uh cloud,

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Speaker 1: and we're talking privacy as well, you're gonna want your information?

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Speaker 1: Who know this is this could be the start of

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Speaker 1: Big brother I mean we know Big Brothers already started.

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Speaker 1: Well is it good or bad? Because I mean, if

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Speaker 1: you know you have this app, right, are you are

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Speaker 1: you go to that? Are you look for a DNA

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Speaker 1: sample that really matches with your body and you have

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Speaker 1: to get that out. Run you have to do it.

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Speaker 1: Run Brown brought the government that certain DNA and they're

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Speaker 1: gonna come after and is it bad? Is it good

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Speaker 1: or bad? I mean, if you're a consumer and you

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Speaker 1: want to feel the best way possible and use this

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Speaker 1: medicine in a way to keep you, um, pain free,

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Speaker 1: let's just go pain free. I would want to use

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Speaker 1: it for pain free. Right, So my hips starts to hurt,

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Speaker 1: my ankle starts to hurt. Joe's gonna start using more

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Speaker 1: THHC because if I can monitor this and they say,

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Speaker 1: use this amount, this amount for your pain for your hips,

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Speaker 1: since your ankle, why wouldn't I want to do that? Brothers?

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Speaker 1: Are they willing to go through the FDA to prove

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Speaker 1: what they have brothers here? Yeah, that's what I mean.

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Speaker 1: My point is I don't care. And I think, Craig,

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Speaker 1: what you're saying by getting Big Brother involved. I think

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Speaker 1: if people, especially when I use the terms of injuries

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Speaker 1: and for pain, and if you're you see it. I'm

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Speaker 1: talking about the access to that information, who is going

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Speaker 1: to have access to that? It should be doctor client

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Speaker 1: relations I mean, if you go through FDA and you

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Speaker 1: get hip involved exactly that you have patient client. But

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Speaker 1: I think this is a company once again out in

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Speaker 1: Portugal or that's where they were the nightclub was. I

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Speaker 1: don't think it's a local US, but I mean they're

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Speaker 1: they're working on this out there, and I just find

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Speaker 1: it to be a huge opportunity for when I leak

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Speaker 1: of my own elements for pain and if Mark or

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Speaker 1: Craig who just wants to get our pit and Jennifer,

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Speaker 1: I don't know if you guys would do something like this,

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Speaker 1: but for me to to be able to put in

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Speaker 1: an app or for someone to follow my progress of

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Speaker 1: this didn't take away my pain or this amount did?

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Speaker 1: I think that would be ideal? And who wouldn't want

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Speaker 1: to spend the money for that? That's just stick clinical trials.

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Speaker 1: I mean, has this methodology, this product, they have their

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Speaker 1: service gone through. Well that's why I say they're working

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Speaker 1: on it. And by the way, once again, they're making

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Speaker 1: two to four billion dollars a year a year now

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Speaker 1: with this medical marijuana out there, and it just goes

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Speaker 1: to show this guy had the land of the nightclub.

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Speaker 1: I don't know if I want to get into it. Well,

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Speaker 1: guess what, four billion dollars later, this guy's got to

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Speaker 1: give out grants funding the right people. Either way, he's

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Speaker 1: going because he's making a lot of money. And that's

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Speaker 1: why I'm bringing up. And I actually liked the product

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Speaker 1: and I love that Michael, what you're doing. But Craig,

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Speaker 1: I think you've got some cannabis news real quick for

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Speaker 1: us too. Yeah, real quick. This is a story that

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Speaker 1: you should probably should have picked up on it or

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Speaker 1: you haven't written down for later. But there's a new

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Speaker 1: article out about weed Maps. I mean, this is crazy,

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Speaker 1: But you own weed Maps, don't you? Aren't you one

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Speaker 1: of the one of the partners After what I'm after?

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Speaker 1: What I what I read? I sure wish that had

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Speaker 1: one one sintella of the truth to it, because I'd

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Speaker 1: be a rich man. Cannabis advertising giant weed Maps hopes

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Speaker 1: to boost his revenue over the next three years by

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Speaker 1: whopping a hundred seventy five per cent, and investors are

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Speaker 1: waging the California based company can actually deliver on that goal.

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Speaker 1: Since announcing its acquisition of weed Maps on December tenth,

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Speaker 1: Silver Spike Acquisition Corps has a scene it shares double,

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Speaker 1: resulting in weed Maps evaluation at twenty one time sales

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Speaker 1: and ninety eight times E B I D T A.

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Speaker 1: I did look up what that meant? What that e

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Speaker 1: B I T D A mean? Hold, go ahead, tell

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Speaker 1: us what it stands for. Well, I'm sure you want

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Speaker 1: to know. Well, just want to It's earnings before interest, taxes,

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Speaker 1: depreciation and amortization. That I was gonna say that. So

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Speaker 1: it's like it's basically your growth, your gross revenue. And

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Speaker 1: I mean, it's just it's crazy. The stock, which trades

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Speaker 1: on the s S trades as s s p K

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Speaker 1: on the Nasdaq, climbed another two after the company file

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Speaker 1: a bunch of forms with the U S Securities and

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Speaker 1: Exchange Commission on January nineteen, which included audited financials and

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Speaker 1: more details about the deal and company operations with with

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Speaker 1: weed Maps. So, I mean, it's just crazy that, you know,

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Speaker 1: non touching the plant tech company like weed Maps is

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Speaker 1: gonna be, you know, a couple of billion dollar company here,

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Speaker 1: pretty not a bad investment you got in there. You

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Speaker 1: gotta read the executive commentary, you gotta get their word

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Speaker 1: on sec with what they're exactly behind their numbers. I

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Speaker 1: mean they're disclosure disclosure. I'm not saying go by go

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Speaker 1: by the stocks. I don't know stocks, I don't do stocks.

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Speaker 1: I'm just reporting what I've read about these. I mean

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Speaker 1: these numbers, are they trading on? I think they are

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Speaker 1: not yet? Not yet. There, there's there's there's a blank

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Speaker 1: acquisition group. There's these companies that I just learned about.

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Speaker 1: I don't know the details, but they're companies that are

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Speaker 1: already good bye. Well, you know what, once it does

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Speaker 1: come up, and once this power comes back, maybe we'll

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Speaker 1: hear is thoughts. But you know what, if I get

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Speaker 1: some money and it does go up, there, I throw

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Speaker 1: some money at at Maps. I mean, why wouldn't you

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Speaker 1: mean it's a good time too. I mean if if

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Speaker 1: you think that you know, first of all, they've built

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Speaker 1: a sustainable model, we know that, right, and and they

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Speaker 1: charge out the wizard and they're the bible of it.

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Speaker 1: It's not like another one may come in, but they're

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Speaker 1: the they're the first, and they got the best branding

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Speaker 1: and in the game a long time, and hopefully they'll expand, right.

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Speaker 1: I mean, you'd have to only think that they're going

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Speaker 1: to create something new that's gonna bring a more, much

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Speaker 1: more value to their company along the way. I mean,

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Speaker 1: that's where I see it. I don't see it as

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Speaker 1: you know, they're just the marketing company to all the dispensaries.

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Speaker 1: I see it as they're gonna come in and become

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Speaker 1: some kind of management before you know what, have their

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Speaker 1: own dispensaries, their own brands, their own everything. If they don't,

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Speaker 1: they'd be crazy too. Cannabis Talk one oh one, we've

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Speaker 1: come back. Speaking of crazy, We've got Michael's and Dill

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Speaker 1: Think twenty labs. I want to hear how crazy this

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Speaker 1: place is. Let's go Cannabis Talk one oh one. Hello,

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Speaker 1: and welcome back to Cannabis Talk one on one. We

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Speaker 1: have Michael Zindale from Think twenty Labs. Welcome to the show. Michael,

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Speaker 1: co founder of Think twenty labs. Talk to me, buddy.

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Speaker 1: What Craig I mean is back to by the way.

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Speaker 1: Gregory there, I'm here. Okay, we can hear you think

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Speaker 1: you Oh my god? Oh and Mazy little he just

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Speaker 1: had a spaw days. What's up, buddy? Just like his daddy.

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Speaker 1: His daddy goes to Vegas and gets fought up. He

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Speaker 1: goes uh uh Japan town. He has that too. Yeah,

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Speaker 1: she's like, how did you know exactly? So Michael, talk

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Speaker 1: to us. What does think? Twenty laughs? We're allowed here

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Speaker 1: in irvone, California, and we did cannabis testing for clients

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Speaker 1: and you're the co founder. How did you come about

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Speaker 1: going you know what, let me get into this, let

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Speaker 1: me do some picks and shovels games. How did it

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Speaker 1: come about? It's actually a long history, long story. I've

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Speaker 1: been in cannabis. You're selling weed back in the day too,

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Speaker 1: now that selling um, well, allegedly allegedly got to cannabis

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Speaker 1: because I lost my dad to cancer and uh founded

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Speaker 1: in two days to hear that. So I did as well.

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Speaker 1: I didn't know that story about you. But that's that's

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Speaker 1: good to know. We have something very very much good

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Speaker 1: to know that your dad just like his dad. It's

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Speaker 1: a good bonds something. I understand you. You can understand

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Speaker 1: the pain, you know. That's right. It's a difficult journey

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Speaker 1: and it's growth. You know, everyone just goes through life

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Speaker 1: and that's what you know. Growings all about pain and

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Speaker 1: getting over. So, Pops, how long ago was this? Pop?

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Speaker 1: Past two thousand one? Same year is nine eleven? Oh,

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Speaker 1: it was a big year for you. Then that was terrible.

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Speaker 1: So then that happens, and then you're into cannabis. Think,

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Speaker 1: you know, could cannabis help my dad? Did it help him?

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Speaker 1: What let you down the cannabis lane? I wasn't educated

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Speaker 1: back then. I didn't know as much as you know,

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Speaker 1: I had friends and smoke, I partect. You know, I

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Speaker 1: didn't understand the health effects. Back then. It wasn't available,

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Speaker 1: you know what I mean? You know now everyone's educated

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Speaker 1: and it's transparent. You know what the plants all about,

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Speaker 1: the whole world was educated back then. I mean you

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Speaker 1: know they're still not. Who were kidding? Well, yeah, that's

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Speaker 1: I mean. I I just think there was there was

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Speaker 1: a large consumption value right there was happening. But and

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Speaker 1: this goes from your your corporate America down to your

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Speaker 1: street level. But there wasn't acknowledgement on it. So the

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Speaker 1: corporate level never acknowledged it. And it was like some

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Speaker 1: people knew, some people knew, but it wasn't as open

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Speaker 1: as it is now, where like you know there's brands

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Speaker 1: out there that are like really good for you know,

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Speaker 1: doing suppositories for instance, It wasn't like a known thing.

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Speaker 1: Maybe you should try it? That way, like, no way,

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Speaker 1: no one's ever thinking that way. But now for cannabis patients,

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Speaker 1: spositories are a huge way of taking getting campus to

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Speaker 1: help with the pain. It's crazy. Yeah, that's it's it's

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Speaker 1: about to getting to educated again. And that two thousand

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Speaker 1: and eight, two thousand nine is when I found the

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Speaker 1: plant and found out what it was for. And back

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Speaker 1: then is it was still early. And then back in

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Speaker 1: two thousand sixteen seventeen understood that you know here in

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Speaker 1: Irvine they have the ban on cannabis testing. I branded

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Speaker 1: CAMPAIGNE you know, basically got the city council to overturn

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Speaker 1: the band and that's where we raised the money and

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Speaker 1: we now have our cannabis test. Hard was that to

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Speaker 1: go against the city and say, let us allow us

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Speaker 1: to test cannabis here. Well, I mean it wasn't necessarily hard.

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Speaker 1: It took time, in the right educated time to educate

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Speaker 1: the people that you need to bring on board with you.

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Speaker 1: They have to understand your message. They have to see

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Speaker 1: what you're about where you're gonna give back to the community.

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Speaker 1: It really comes to that too. It's it's big community efforts, right,

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Speaker 1: I mean, they want to see that the community is

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Speaker 1: gonna be involved. I want to make sure they also

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Speaker 1: want to see a profit to money for the city,

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Speaker 1: not necessarily, I mean, and it's in it went away.

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Speaker 1: They want to make sure that you're a pillar of industry.

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Speaker 1: You know. It's it's you've earned that seat in the

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Speaker 1: house there and basically that that's a lot of cannabis

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Speaker 1: companies are doing the right thing out there, and we

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Speaker 1: hope to lead that charge as well. Well. I think

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Speaker 1: it all starts with that. Like so a lot of

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Speaker 1: people come into the cannabis industry not realizing that they

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Speaker 1: it starts in the city and the community that you're in.

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Speaker 1: Most people want to avoid that because they don't know

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Speaker 1: how to go to the city council to sit with them.

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Speaker 1: I'm and I sat in in Stanton here locally. Yeah,

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Speaker 1: I was sitting in in you know, six of their

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Speaker 1: their city council meetings too, to build value for the

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Speaker 1: cannabis community here and and and you know what, you

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Speaker 1: you sit there the first time and you're the only

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Speaker 1: one there, and then the next week you're then you know,

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Speaker 1: there's like a couple more people, and the next week

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Speaker 1: you know that the whole place is full of all

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Speaker 1: these people, they got an opinion, they remember you, you know,

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Speaker 1: they're like, hey, he's been every freaking week and he

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Speaker 1: since we since we start talking about it, he stepped up,

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Speaker 1: had some quality information to share with us, and some

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Speaker 1: ideas of how we can curve the the the industry

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Speaker 1: to be a better place here locally, and how you know,

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Speaker 1: we should tax it and so on. So what kind

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Speaker 1: of what kind of dollars does it take to put

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Speaker 1: together a lab like this? Let's is that something we

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Speaker 1: could talk about? Sure? I mean we did raise five

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Speaker 1: million dollars and open up two labs on both coasts,

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Speaker 1: one in Maryland one here in California. Unfortunately we happen

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Speaker 1: to open the middle of a pandemic. So yeah, welcome

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Speaker 1: to the There's a lot of testing going on still,

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Speaker 1: I mean, it shouldn't really hurt too bad, right, Uh, well,

425
00:20:57,800 --> 00:21:00,960
Speaker 1: you would think, um, it's it's it's hit or miss

426
00:21:01,000 --> 00:21:04,639
Speaker 1: a lot of you know, whether we're not affected directly ourselves,

427
00:21:04,680 --> 00:21:09,120
Speaker 1: but our clients are our transportation distribution. You know, things

428
00:21:09,119 --> 00:21:12,119
Speaker 1: take longer, people you know hr issues. You can you

429
00:21:12,160 --> 00:21:15,000
Speaker 1: lose thirty percent of your staff and you know what

430
00:21:15,280 --> 00:21:19,000
Speaker 1: businesses don't run is efficient? Yeah, and so having a

431
00:21:19,119 --> 00:21:21,720
Speaker 1: lab like that, is that a certain license then that

432
00:21:21,800 --> 00:21:24,400
Speaker 1: you guys need to get from the Bureau of Cannabis. Correct. Yes,

433
00:21:24,440 --> 00:21:26,399
Speaker 1: we had to apply for the BCC license and our

434
00:21:26,480 --> 00:21:28,840
Speaker 1: local license, of which that took a lot of time

435
00:21:28,880 --> 00:21:30,480
Speaker 1: as well, and then you get to build a lab

436
00:21:30,560 --> 00:21:33,960
Speaker 1: itself and that's huge investments. So we have three million

437
00:21:34,000 --> 00:21:38,080
Speaker 1: dollars worth of instruments that we used to perform our tests.

438
00:21:38,080 --> 00:21:40,480
Speaker 1: How big? What's the square footage of the buildings? We're

439
00:21:40,520 --> 00:21:43,240
Speaker 1: currently in a five thousand square foot space. You know,

440
00:21:43,640 --> 00:21:46,600
Speaker 1: two dozen employees. Is it a two story building? It

441
00:21:46,720 --> 00:21:48,800
Speaker 1: is a two story building, but we're actually in a

442
00:21:49,359 --> 00:21:52,200
Speaker 1: sub unit. We have a suite there. It's actually W. L.

443
00:21:52,240 --> 00:21:56,399
Speaker 1: Butler Construction. They actually do all the Target stores. They

444
00:21:56,440 --> 00:21:59,840
Speaker 1: do construction for them. Those guys stay busy then if

445
00:22:00,119 --> 00:22:02,879
Speaker 1: there are always construction going on the Target so you

446
00:22:03,600 --> 00:22:05,840
Speaker 1: so let me let me ask you this about the

447
00:22:05,920 --> 00:22:10,760
Speaker 1: standard Are there standard tests in the industry, because I'm

448
00:22:10,800 --> 00:22:14,119
Speaker 1: hearing from clients who are cultivators and manufacturers that they

449
00:22:14,160 --> 00:22:16,320
Speaker 1: can go to three different labs and get three different

450
00:22:16,320 --> 00:22:22,200
Speaker 1: results and and there's no set standard machine or test

451
00:22:22,280 --> 00:22:24,320
Speaker 1: that's used. I don't know if that's true or not,

452
00:22:24,400 --> 00:22:26,080
Speaker 1: but I'm glad we have the on so I can

453
00:22:26,119 --> 00:22:29,199
Speaker 1: ask you that absolutely. Uh, it's exactly that you need

454
00:22:29,240 --> 00:22:32,119
Speaker 1: to have uniform s, ops and procedures. Everyone's gonna get

455
00:22:32,160 --> 00:22:34,840
Speaker 1: on the same page. But we don't though, so testing

456
00:22:34,880 --> 00:22:38,480
Speaker 1: labs don't have that uniform procedure that is that is correct.

457
00:22:38,520 --> 00:22:41,000
Speaker 1: Everyone's got an accepted regulations that when you apply, and

458
00:22:41,000 --> 00:22:43,960
Speaker 1: it's a very strenuous process, you get approved. But those

459
00:22:44,000 --> 00:22:48,080
Speaker 1: are different processes of which you get different results. And

460
00:22:48,119 --> 00:22:50,879
Speaker 1: people are bad actors that should take advantage of that

461
00:22:50,960 --> 00:22:53,520
Speaker 1: as well. So what was that there are bad actors

462
00:22:53,520 --> 00:22:55,360
Speaker 1: in the industry to actually take advantage that as well?

463
00:22:56,119 --> 00:22:57,879
Speaker 1: They know where to how do how do you know

464
00:22:57,880 --> 00:22:59,480
Speaker 1: what a laboratory to go to when you've got a

465
00:22:59,480 --> 00:23:01,720
Speaker 1: bad bat and they're gonna let it go through. Well,

466
00:23:01,760 --> 00:23:04,040
Speaker 1: I mean, I'm just gonna say that. You know, the

467
00:23:04,240 --> 00:23:06,879
Speaker 1: BCC is doing a great job of overright overseeing the

468
00:23:06,960 --> 00:23:09,760
Speaker 1: industry and making sure bad actors are eliminated. Yeah, how

469
00:23:09,760 --> 00:23:11,800
Speaker 1: hard is that though? Because I love that you brought

470
00:23:11,840 --> 00:23:14,640
Speaker 1: that up, Craig, and it just goes to what we

471
00:23:14,720 --> 00:23:18,000
Speaker 1: need and how hard is that to implement of a

472
00:23:18,200 --> 00:23:22,520
Speaker 1: unified you know program that says do this that that

473
00:23:22,600 --> 00:23:24,640
Speaker 1: these X amount of things that you need to do

474
00:23:24,840 --> 00:23:27,640
Speaker 1: to test that should be universal. We'll get there. That's

475
00:23:27,680 --> 00:23:29,919
Speaker 1: actually that's one of our missions. I mean as far

476
00:23:29,920 --> 00:23:32,480
Speaker 1: as thing twenty labs, I mean, the founders I joined

477
00:23:32,520 --> 00:23:36,760
Speaker 1: with are from Healthcare, are from Pharmaco Genetics d n

478
00:23:36,800 --> 00:23:39,359
Speaker 1: A twenty three and me Antistre dot com a company

479
00:23:39,359 --> 00:23:43,240
Speaker 1: called Alumina so fantastic, so they have they have some education.

480
00:23:43,320 --> 00:23:45,520
Speaker 1: I talked about pillows of industries. This is exactly what

481
00:23:45,600 --> 00:23:47,000
Speaker 1: you would expect. You're not gonna go to a Wall

482
00:23:47,000 --> 00:23:50,560
Speaker 1: Street investor ever until you have uniform um standards and

483
00:23:50,640 --> 00:23:52,800
Speaker 1: you know, transparency and you have faith in those numbers.

484
00:23:53,000 --> 00:23:54,600
Speaker 1: I mean, that's exactly what we come down to. We

485
00:23:54,600 --> 00:23:56,840
Speaker 1: want to be an authority of that faith in the numbers.

486
00:23:57,359 --> 00:23:59,240
Speaker 1: I mean, because you know, we have clients that could

487
00:23:59,240 --> 00:24:00,920
Speaker 1: have a couple hundreds. I was in product that gets

488
00:24:00,960 --> 00:24:03,399
Speaker 1: held up in quarantine because of a of a test

489
00:24:03,640 --> 00:24:06,680
Speaker 1: that you know comes in and they can have it

490
00:24:07,000 --> 00:24:09,520
Speaker 1: they haven't retested somewhere else and it comes in you know,

491
00:24:09,760 --> 00:24:13,360
Speaker 1: passing great well. So I just don't get that disparity. Yeah,

492
00:24:13,400 --> 00:24:15,600
Speaker 1: I mean right now you have BCC and metrics, so

493
00:24:15,640 --> 00:24:17,439
Speaker 1: once you go through compliance, you have to stick with

494
00:24:17,480 --> 00:24:19,480
Speaker 1: those results. And in fact, just that if you don't

495
00:24:19,760 --> 00:24:22,720
Speaker 1: you have the right lab, you have hundreds, if not

496
00:24:22,880 --> 00:24:25,359
Speaker 1: millions of dollars worth a product that could be you

497
00:24:25,400 --> 00:24:28,360
Speaker 1: know tainted or you know held up. I mean you're

498
00:24:28,359 --> 00:24:31,119
Speaker 1: talking about running a business, right because once, once you're in,

499
00:24:31,359 --> 00:24:33,479
Speaker 1: once you're in metrics, then you have to stay with

500
00:24:33,520 --> 00:24:38,000
Speaker 1: that lab exactly. We'll not stay with Now, how would

501
00:24:38,000 --> 00:24:41,800
Speaker 1: you recommend somebody picking a lab? Uh? You know, how

502
00:24:41,840 --> 00:24:45,119
Speaker 1: do you pick a lab that besides obviously now going

503
00:24:45,160 --> 00:24:50,000
Speaker 1: forward potentially you know think twenty lab dot com. Um,

504
00:24:50,040 --> 00:24:51,920
Speaker 1: you know, how does someone go about picking the lab?

505
00:24:51,960 --> 00:24:53,919
Speaker 1: How do you? I mean, it's it's in this an industry.

506
00:24:54,040 --> 00:24:56,760
Speaker 1: How the reality is, it's word of mouth and it's

507
00:24:56,760 --> 00:24:59,520
Speaker 1: who you know. But that's where I'm on the show

508
00:24:59,640 --> 00:25:02,680
Speaker 1: right now to tell you. I mean, we're new, we're here. Um,

509
00:25:02,720 --> 00:25:05,520
Speaker 1: I have a history in this, in this industry, my

510
00:25:05,640 --> 00:25:09,280
Speaker 1: partners have a history and healthcare and where the market

511
00:25:09,320 --> 00:25:12,200
Speaker 1: needs to go for personalized medicine and drug discovery. I mean,

512
00:25:12,240 --> 00:25:13,720
Speaker 1: we have to start off with the testing. We have

513
00:25:13,760 --> 00:25:15,760
Speaker 1: to know exactly what we're dealing if we have transparence

514
00:25:15,760 --> 00:25:17,600
Speaker 1: and we know what we have and we want to

515
00:25:17,640 --> 00:25:19,760
Speaker 1: be the leading authority for that. And now that you

516
00:25:19,800 --> 00:25:22,040
Speaker 1: say health care, but to be behind twenty three and

517
00:25:22,080 --> 00:25:24,880
Speaker 1: me is one of your partners is and ancestry dot com.

518
00:25:25,200 --> 00:25:27,600
Speaker 1: I would imagine or is it fair to say you

519
00:25:27,600 --> 00:25:31,680
Speaker 1: guys are using stuff like that to track it and

520
00:25:31,760 --> 00:25:33,840
Speaker 1: being able to use any of their data that they

521
00:25:33,960 --> 00:25:36,320
Speaker 1: use for this as well. Well, yeah, the guys that

522
00:25:36,400 --> 00:25:38,920
Speaker 1: came from there, Um, that's our vision down the line.

523
00:25:38,960 --> 00:25:41,320
Speaker 1: I mean, we're gonna be We're right now the toll

524
00:25:41,359 --> 00:25:43,439
Speaker 1: on the highway. Everyone's got to go through us to

525
00:25:43,480 --> 00:25:46,520
Speaker 1: make sure that their their product is safe, you know, secure,

526
00:25:47,040 --> 00:25:50,480
Speaker 1: and then from there we get into branding, personalized medicine,

527
00:25:50,560 --> 00:25:53,680
Speaker 1: drug discovery, and then right there that's the holy grail

528
00:25:53,720 --> 00:25:56,240
Speaker 1: we were talking about early in the show. It's getting that, uh,

529
00:25:56,320 --> 00:25:59,639
Speaker 1: the DNA of what we're all of and how the

530
00:25:59,720 --> 00:26:02,119
Speaker 1: plant corresponds to us. Is that what you guys are

531
00:26:02,119 --> 00:26:04,040
Speaker 1: working on as well as a side project as well.

532
00:26:04,119 --> 00:26:07,960
Speaker 1: Over that's the long term strategy, isn't because I ultimately

533
00:26:07,960 --> 00:26:11,800
Speaker 1: again it's getting the the inline user the same experience

534
00:26:11,840 --> 00:26:14,760
Speaker 1: every single time. Is the holy girl, right, I mean,

535
00:26:14,760 --> 00:26:18,040
Speaker 1: because if you're talking to and you and I are

536
00:26:18,160 --> 00:26:20,879
Speaker 1: are you know, and the way I delivered it's different

537
00:26:20,880 --> 00:26:23,320
Speaker 1: than normal job. But but you and I are sitting

538
00:26:23,359 --> 00:26:26,000
Speaker 1: here going look, I don't want to get take a

539
00:26:26,040 --> 00:26:27,480
Speaker 1: pill if I don't know what's gonna do to me.

540
00:26:27,680 --> 00:26:30,720
Speaker 1: But there's enough used to but no more. Yeah, yeah,

541
00:26:32,119 --> 00:26:34,000
Speaker 1: let me get two of them. Yeah, let me too

542
00:26:34,040 --> 00:26:37,040
Speaker 1: it at two fir um. But but but I mean,

543
00:26:37,200 --> 00:26:39,960
Speaker 1: but every time you take you know this is the

544
00:26:40,280 --> 00:26:42,400
Speaker 1: good and bad. I mean, don't get me wrong. I'm

545
00:26:42,440 --> 00:26:44,400
Speaker 1: not a fan of oxycott and I'm not a fan

546
00:26:44,480 --> 00:26:49,280
Speaker 1: of viking in or any other and just do you

547
00:26:49,280 --> 00:26:53,280
Speaker 1: need some of them? No? Um, But I think the

548
00:26:52,800 --> 00:26:55,760
Speaker 1: the the understanding of it is that I know what

549
00:26:55,800 --> 00:26:58,240
Speaker 1: it'll do to me if I and I will never

550
00:26:58,280 --> 00:27:00,720
Speaker 1: take an oxycoton again. I've taken on in my life.

551
00:27:01,080 --> 00:27:06,960
Speaker 1: I hate when ruined me. It ruined me, took one

552
00:27:07,119 --> 00:27:09,320
Speaker 1: in my entire life. I never want to do it again.

553
00:27:10,240 --> 00:27:13,080
Speaker 1: But I took uh you know what of the Viking,

554
00:27:13,400 --> 00:27:15,280
Speaker 1: and I know exactly what they'll do. I can take

555
00:27:15,280 --> 00:27:17,280
Speaker 1: a half of one as long as I've ate something,

556
00:27:17,440 --> 00:27:19,520
Speaker 1: you know, and I don't drink on it whatever, because

557
00:27:19,560 --> 00:27:21,600
Speaker 1: I'm not I don't have a huge tolerance for for

558
00:27:21,640 --> 00:27:24,439
Speaker 1: dr I cann't get kicking hard too, talking wrong, and

559
00:27:24,480 --> 00:27:26,200
Speaker 1: it could be addicting. I've seen a lot of people

560
00:27:26,200 --> 00:27:29,240
Speaker 1: get addicted to these things, so but I'm consciously aware

561
00:27:29,280 --> 00:27:33,360
Speaker 1: of it. Right, But cannabis is still joking wrong. I'd

562
00:27:33,480 --> 00:27:38,159
Speaker 1: rather smoke anything than to feel the pains, right, if

563
00:27:38,160 --> 00:27:39,720
Speaker 1: I could get away with the pain, I'd rather smoke,

564
00:27:39,800 --> 00:27:43,400
Speaker 1: for sure. But I also might ruin my day smoking

565
00:27:43,440 --> 00:27:46,880
Speaker 1: cannabis to or taking it too much edible, because I

566
00:27:46,920 --> 00:27:50,119
Speaker 1: know it will ruin me. Now, having the right you know,

567
00:27:50,280 --> 00:27:54,280
Speaker 1: the thing labs, you know, the right education and then

568
00:27:54,440 --> 00:27:57,720
Speaker 1: actually putting that research in for us and creating that

569
00:27:57,920 --> 00:28:02,200
Speaker 1: exact brand that you can enjoy every single day. That's

570
00:28:02,200 --> 00:28:04,560
Speaker 1: going to be the Coca Cola staple that we're looking for.

571
00:28:05,200 --> 00:28:07,280
Speaker 1: It's the game changer. I think we're all like, and

572
00:28:07,320 --> 00:28:09,360
Speaker 1: how long Michael before we get there? You think, what's

573
00:28:09,359 --> 00:28:12,120
Speaker 1: your guts, say three to five years, which is not far?

574
00:28:12,280 --> 00:28:15,119
Speaker 1: And would you say that they're ahead of the game

575
00:28:15,320 --> 00:28:18,280
Speaker 1: in like the Egypt area or other parts of the

576
00:28:18,320 --> 00:28:22,240
Speaker 1: country of the world. Excuse me, Definitely the fore runner

577
00:28:22,280 --> 00:28:25,560
Speaker 1: for scientific are you using any of their data? That's

578
00:28:25,560 --> 00:28:27,720
Speaker 1: because I believe Israel, the ship that I've been reading,

579
00:28:27,720 --> 00:28:30,560
Speaker 1: the scene from Israel is second to none. You're ahead

580
00:28:30,600 --> 00:28:33,680
Speaker 1: of us by far. Correct. Fundamentally, that's where the game.

581
00:28:33,680 --> 00:28:35,800
Speaker 1: We're in his data, and we want to share that

582
00:28:35,880 --> 00:28:38,480
Speaker 1: data with our clients and have an open API form

583
00:28:38,520 --> 00:28:41,680
Speaker 1: for which anybody can be involved. They can see their data,

584
00:28:42,000 --> 00:28:44,600
Speaker 1: understand their data, and make a better product and for

585
00:28:44,680 --> 00:28:47,240
Speaker 1: the client to be assured it's a similar hit. Can

586
00:28:47,320 --> 00:28:51,080
Speaker 1: you can we as companies in the States, grab the

587
00:28:51,200 --> 00:28:55,760
Speaker 1: data from Israel and implemented here on another product of

588
00:28:55,800 --> 00:28:57,239
Speaker 1: a company here and say let's do it the way

589
00:28:57,280 --> 00:28:59,040
Speaker 1: they're testing it and see if we get the same

590
00:28:59,040 --> 00:29:00,880
Speaker 1: outcome because it's got to go through our FDA and

591
00:29:00,920 --> 00:29:03,080
Speaker 1: all that exactly. So that's what saying. Can we start

592
00:29:03,120 --> 00:29:05,520
Speaker 1: with is is Reel giving up that information to a

593
00:29:05,560 --> 00:29:07,840
Speaker 1: company like yours? Well? No, I mean it already exists

594
00:29:07,840 --> 00:29:10,040
Speaker 1: here as well. We're all working in partnership. I think

595
00:29:10,040 --> 00:29:12,080
Speaker 1: everyone has the same goal, right, but it feels like

596
00:29:12,120 --> 00:29:13,920
Speaker 1: it's Reels ahead of it because they keep putting out

597
00:29:14,080 --> 00:29:16,960
Speaker 1: these you know, papers and this and that you're reading

598
00:29:17,000 --> 00:29:19,040
Speaker 1: more logic of like what we aren't we doing this.

599
00:29:19,040 --> 00:29:20,800
Speaker 1: I don't hear about that's going on here. It's definitely

600
00:29:21,120 --> 00:29:23,200
Speaker 1: it's happening. It's it's just you don't hear about as much.

601
00:29:23,200 --> 00:29:26,280
Speaker 1: I guess. Well, well, I would say that the the

602
00:29:26,280 --> 00:29:30,280
Speaker 1: the solid concrete you know information here. If you if

603
00:29:30,280 --> 00:29:32,280
Speaker 1: you put a press release out here of something like

604
00:29:32,320 --> 00:29:36,000
Speaker 1: that and and it hits and let's say it doesn't

605
00:29:36,000 --> 00:29:37,920
Speaker 1: sniff all the way out, you're also out of business,

606
00:29:38,000 --> 00:29:40,880
Speaker 1: you know what I'm saying. Whereas it maybe in Israel

607
00:29:40,920 --> 00:29:43,000
Speaker 1: they're like check us out, boom, and I don't know.

608
00:29:43,080 --> 00:29:46,120
Speaker 1: I'm just saying, I'm just saying it. Getting back to

609
00:29:46,160 --> 00:29:50,640
Speaker 1: testing Canada, maybe is there a best practices guide of

610
00:29:50,800 --> 00:29:54,360
Speaker 1: some sort of you know, how you test cannabis as

611
00:29:54,400 --> 00:29:56,880
Speaker 1: opposed to the guy down the street testing cannabis and

612
00:29:57,200 --> 00:29:59,200
Speaker 1: you know, licensed testing lab, Well, that would be like

613
00:29:59,200 --> 00:30:02,600
Speaker 1: ISO certificate that's basically whatever lab uh in order to

614
00:30:02,600 --> 00:30:05,280
Speaker 1: get fully validated by the BCC, which is our state

615
00:30:05,360 --> 00:30:10,120
Speaker 1: governing agency. It lays that out that you've actually achieved

616
00:30:10,600 --> 00:30:15,640
Speaker 1: uh g MP manufacturing, you know, you know, having that

617
00:30:15,800 --> 00:30:20,160
Speaker 1: instilled knowledge that you're doing everything. Best standards is it?

618
00:30:20,280 --> 00:30:23,360
Speaker 1: Is it still based on Is there different machines that

619
00:30:23,400 --> 00:30:26,360
Speaker 1: are used, equipment that's used. That makes the difference that

620
00:30:26,400 --> 00:30:28,200
Speaker 1: if I have a client and go, hey if this

621
00:30:28,400 --> 00:30:30,320
Speaker 1: if this lab uses this type of machine, I go

622
00:30:30,440 --> 00:30:32,840
Speaker 1: somewhere else that uses this type of machine. Well, I

623
00:30:32,880 --> 00:30:36,040
Speaker 1: mean simply said, I mean just you know, one on

624
00:30:36,040 --> 00:30:38,040
Speaker 1: one in a in a way that yeah, there's different

625
00:30:38,040 --> 00:30:41,520
Speaker 1: brands of equipment that are definitely functional in the same

626
00:30:41,560 --> 00:30:44,800
Speaker 1: manner to achieve the same outcome, but they're totally different machines.

627
00:30:45,280 --> 00:30:47,400
Speaker 1: And you have your l D S l O queues

628
00:30:47,680 --> 00:30:49,880
Speaker 1: of what your settings are, a sensitivity and everything like that.

629
00:30:50,200 --> 00:30:52,160
Speaker 1: So it's like that's why they call them instruments because

630
00:30:52,200 --> 00:30:54,880
Speaker 1: you have the scientists. That's you have to work within standards.

631
00:30:54,920 --> 00:30:56,880
Speaker 1: But it's an instrument as as as far as like

632
00:30:57,600 --> 00:30:59,960
Speaker 1: able to create something, can you put it into them?

633
00:31:00,680 --> 00:31:06,320
Speaker 1: So can that make the difference positive for something it's

634
00:31:06,360 --> 00:31:09,320
Speaker 1: something not testing or within the or within the uh

635
00:31:09,920 --> 00:31:12,280
Speaker 1: the realm of you know what, you know, how much

636
00:31:12,360 --> 00:31:14,840
Speaker 1: is allowed of whatever substance it is. You can have

637
00:31:14,880 --> 00:31:17,200
Speaker 1: expert cent er X whatever it is. Um does that

638
00:31:17,240 --> 00:31:19,720
Speaker 1: make a difference in the outcome of those tests? Well?

639
00:31:19,720 --> 00:31:21,560
Speaker 1: What I could just say, for think twenty labs. We

640
00:31:21,600 --> 00:31:24,440
Speaker 1: have the highest standards, the highest sensitivities, above and beyond

641
00:31:24,440 --> 00:31:27,480
Speaker 1: with the BCC requires. So in that sense, maybe that

642
00:31:27,520 --> 00:31:30,640
Speaker 1: there should be this discussion to be exactly what are

643
00:31:30,640 --> 00:31:33,480
Speaker 1: all the other labs doing? I mean what are there?

644
00:31:33,520 --> 00:31:36,600
Speaker 1: I mean, yeah, maybe if they've gotten this temporary license

645
00:31:36,640 --> 00:31:38,320
Speaker 1: because of what's been going on with COVID everything. But

646
00:31:38,440 --> 00:31:40,960
Speaker 1: he's kicking the can down the street. Let's find out

647
00:31:40,960 --> 00:31:43,000
Speaker 1: what these other labs are doing. What is what's going

648
00:31:43,040 --> 00:31:45,200
Speaker 1: on in these places? Well, Michael, we can't tell what

649
00:31:45,200 --> 00:31:47,560
Speaker 1: other labs are doing, but can you walk us through

650
00:31:47,600 --> 00:31:50,960
Speaker 1: what you guys would do. I am a distributor, I

651
00:31:51,120 --> 00:31:53,520
Speaker 1: come in with what a hundred pounds? How does it

652
00:31:53,560 --> 00:31:56,720
Speaker 1: even work? Walk me through everything from I'm a grower,

653
00:31:57,040 --> 00:31:59,760
Speaker 1: I bring you something to get tested even that process,

654
00:32:00,000 --> 00:32:02,280
Speaker 1: who brings you the product to get tested first? So

655
00:32:02,320 --> 00:32:05,160
Speaker 1: for compliance, we actually have to perform an audit and

656
00:32:05,200 --> 00:32:08,040
Speaker 1: send out our drivers and sample technicians to go and

657
00:32:08,160 --> 00:32:13,200
Speaker 1: actually view the product and then the farm when it

658
00:32:13,200 --> 00:32:15,840
Speaker 1: gets taped at the distribution center. Correct, and it gets

659
00:32:15,840 --> 00:32:18,480
Speaker 1: taped and it's quarantined off and they put they put tags.

660
00:32:18,560 --> 00:32:20,960
Speaker 1: When you say taped, you mean videotaped or taped with

661
00:32:21,040 --> 00:32:23,880
Speaker 1: duct tape video and then they put a tag on

662
00:32:23,920 --> 00:32:26,800
Speaker 1: it and they seal it with that tag. This is

663
00:32:26,800 --> 00:32:29,000
Speaker 1: all for auditing purpose. So then you're video and all this,

664
00:32:29,120 --> 00:32:30,640
Speaker 1: and then you how much do you bring back to

665
00:32:30,640 --> 00:32:32,840
Speaker 1: the lab to tests so you have a sample. So

666
00:32:32,840 --> 00:32:35,800
Speaker 1: it's a certain amount of grams per pounds. So there's

667
00:32:35,960 --> 00:32:38,560
Speaker 1: you know, as far as every every matric that's out there,

668
00:32:38,880 --> 00:32:42,600
Speaker 1: whether it's an oil, a tincture, and edible changes, it changes.

669
00:32:42,800 --> 00:32:45,520
Speaker 1: So but let's just say it's a first cannabis, it's

670
00:32:46,280 --> 00:32:49,200
Speaker 1: one gram per pound. Let's just say for for what

671
00:32:50,240 --> 00:32:54,560
Speaker 1: you need one full compliance test per every fifty pounds.

672
00:32:55,440 --> 00:32:57,520
Speaker 1: There's been discussion that in the past where it's it

673
00:32:57,560 --> 00:33:00,600
Speaker 1: would be two tests for every fifty pounds, what have you.

674
00:33:01,120 --> 00:33:03,920
Speaker 1: But as far as this is, this is basically how

675
00:33:04,000 --> 00:33:07,400
Speaker 1: OSHA it gets involved with other places and then you

676
00:33:07,440 --> 00:33:09,880
Speaker 1: have the FDA and everything like. This is a maturity

677
00:33:09,880 --> 00:33:12,760
Speaker 1: of the market that's taking place. So as you send

678
00:33:12,800 --> 00:33:16,760
Speaker 1: your driver over there and somebody has five pounds, they're

679
00:33:16,800 --> 00:33:19,640
Speaker 1: gonna give you what to They're not going to give us.

680
00:33:19,680 --> 00:33:21,880
Speaker 1: We're gonna go and take you guys, are gonna okay,

681
00:33:21,920 --> 00:33:24,840
Speaker 1: I'll take this, we're gonna make sure everything that Sanders

682
00:33:24,960 --> 00:33:27,080
Speaker 1: checking off. So they make they make it sure it's

683
00:33:27,080 --> 00:33:30,480
Speaker 1: the same batch. Right, it's the same exact plant obviously, right,

684
00:33:30,520 --> 00:33:32,720
Speaker 1: so you know, and it's the same batch. So they're

685
00:33:32,720 --> 00:33:34,120
Speaker 1: going in there and they go pull it, pull it,

686
00:33:34,160 --> 00:33:37,120
Speaker 1: pull it, they back it up, they bag it, tag it,

687
00:33:37,360 --> 00:33:40,480
Speaker 1: and then it sits there. And that never just got

688
00:33:40,480 --> 00:33:43,080
Speaker 1: the wrong idea of what he means by the by auditing.

689
00:33:43,560 --> 00:33:45,840
Speaker 1: I think what he means is that the company and

690
00:33:46,200 --> 00:33:49,680
Speaker 1: the distributor or the manufacturer, cultivator whoever is asking for

691
00:33:49,720 --> 00:33:53,400
Speaker 1: the testing. I think it's actually just a distributors responsible

692
00:33:53,880 --> 00:33:56,400
Speaker 1: and they call and say we need test stuff tested.

693
00:33:56,440 --> 00:34:00,000
Speaker 1: So the lab has to go out and do every

694
00:34:00,040 --> 00:34:01,760
Speaker 1: thing that we just told you. They don't, don't, you know.

695
00:34:02,080 --> 00:34:04,160
Speaker 1: Willy Nearly go, Okay, I'm gonna go audit this. This

696
00:34:04,240 --> 00:34:06,760
Speaker 1: lab or this distributor. You get in order and you

697
00:34:06,800 --> 00:34:09,279
Speaker 1: go fulfill it. And that's how it's fulfilled by them

698
00:34:09,320 --> 00:34:12,520
Speaker 1: going out there and doing all these somersaults too, uh

699
00:34:12,719 --> 00:34:14,799
Speaker 1: to get the product, to get the right batch. So

700
00:34:14,920 --> 00:34:18,080
Speaker 1: if you're testing, what's a normal or is there a

701
00:34:18,120 --> 00:34:20,200
Speaker 1: normal amount of weight? Like is there a hundred pounds

702
00:34:20,239 --> 00:34:22,520
Speaker 1: that you guys normally see is it fifty like is

703
00:34:22,520 --> 00:34:25,279
Speaker 1: there something that's common for cannabis. It's very fifty pound lot.

704
00:34:25,360 --> 00:34:27,560
Speaker 1: So let's just say you I grew twenty eight ounces

705
00:34:27,640 --> 00:34:31,839
Speaker 1: or excuse me, twenty eight pounds, same thing, same one

706
00:34:32,360 --> 00:34:36,839
Speaker 1: if you have a pounds and then what if so

707
00:34:36,960 --> 00:34:38,920
Speaker 1: if two of them test good and one of them

708
00:34:38,960 --> 00:34:41,680
Speaker 1: test bad of those batches of the three that you

709
00:34:41,760 --> 00:34:43,880
Speaker 1: just mentioned, then you've got to figure out which one

710
00:34:43,920 --> 00:34:45,480
Speaker 1: of that one bats that you took in. Now that

711
00:34:45,480 --> 00:34:47,279
Speaker 1: one can't go out to the market. Well, now that

712
00:34:47,320 --> 00:34:49,040
Speaker 1: it would be the whole lot in fact, because when

713
00:34:49,040 --> 00:34:52,000
Speaker 1: we take back these samples, we homogenize them, put them

714
00:34:52,040 --> 00:34:55,520
Speaker 1: all together, and we do the test off that material.

715
00:34:55,960 --> 00:34:57,640
Speaker 1: So no matter what, even if it's a bad test

716
00:34:57,680 --> 00:35:01,000
Speaker 1: from say was that mys over there? But these fifty

717
00:35:01,040 --> 00:35:04,000
Speaker 1: tested out positive and good and cleared. Does it all

718
00:35:04,040 --> 00:35:06,000
Speaker 1: get to go bad or can we just separate it?

719
00:35:06,000 --> 00:35:07,880
Speaker 1: It's so unfortunately, it all goes bad, and whether it

720
00:35:07,880 --> 00:35:10,120
Speaker 1: has to go through a you know, remediation or what

721
00:35:10,200 --> 00:35:12,560
Speaker 1: have you. But this is where we come in Think

722
00:35:12,560 --> 00:35:14,759
Speaker 1: twenty Labs, because we like to make you do a

723
00:35:14,760 --> 00:35:17,839
Speaker 1: partnership with our clients. To make to ensure that they're

724
00:35:17,880 --> 00:35:20,560
Speaker 1: gonna be safe, you know, going through their compliance that

725
00:35:20,880 --> 00:35:22,640
Speaker 1: if we perform the R and D S. And this

726
00:35:22,680 --> 00:35:24,759
Speaker 1: is why it's so important to stay with the same

727
00:35:24,840 --> 00:35:27,160
Speaker 1: lab as you're doing your R and d S, which

728
00:35:27,160 --> 00:35:29,160
Speaker 1: is research. That's what I want to hear. There you go,

729
00:35:29,640 --> 00:35:31,839
Speaker 1: and then we do our compliance at the end. It's

730
00:35:31,880 --> 00:35:34,960
Speaker 1: basically you're you're studying through the semester, you're following them

731
00:35:34,960 --> 00:35:38,719
Speaker 1: through the whole you do if they do what you say, yeah,

732
00:35:38,719 --> 00:35:40,480
Speaker 1: well we're gonna have a pretty damn it's gonna pass.

733
00:35:40,719 --> 00:35:42,799
Speaker 1: We're gonna have failed back. We're gonna want to help

734
00:35:42,800 --> 00:35:44,880
Speaker 1: our client with best business practices to make sure that

735
00:35:44,920 --> 00:35:46,880
Speaker 1: we're gonna get a percent. PA. You're not gonna let

736
00:35:46,920 --> 00:35:50,080
Speaker 1: them go into a knife gunfight with a knife. Well,

737
00:35:50,120 --> 00:35:52,320
Speaker 1: speaking of gunfights, do we ever see the Wild Wall West?

738
00:35:52,360 --> 00:35:54,200
Speaker 1: I bring you my ship and like it doesn't pack. No,

739
00:35:54,480 --> 00:35:57,719
Speaker 1: come on, Michael, let this motherfucker pass our else. That's

740
00:35:57,719 --> 00:36:00,400
Speaker 1: why you have metrics, That's why you videotape. That's it's

741
00:36:00,400 --> 00:36:02,960
Speaker 1: a I can't do that. It's a very very it's

742
00:36:02,960 --> 00:36:04,719
Speaker 1: a very serious process and you know there's a lot

743
00:36:04,719 --> 00:36:08,520
Speaker 1: of money a lot of people's businesses. Do you do No,

744
00:36:08,640 --> 00:36:11,320
Speaker 1: we do not do remediation now. In fact, I believe

745
00:36:11,360 --> 00:36:14,080
Speaker 1: that should be its own separate business license with the BCC.

746
00:36:14,719 --> 00:36:17,080
Speaker 1: You have a whole another group and animal out there

747
00:36:17,120 --> 00:36:19,720
Speaker 1: that's sits between the lab and industry and there's no license.

748
00:36:19,760 --> 00:36:21,719
Speaker 1: You just have to go pay someone god knows what

749
00:36:22,239 --> 00:36:25,640
Speaker 1: to come up with a plan to remediate. It's crazy.

750
00:36:25,760 --> 00:36:27,640
Speaker 1: I mean, yeah, this is where the business needs to go.

751
00:36:27,719 --> 00:36:30,319
Speaker 1: And how often do companies fail? That's a good one.

752
00:36:30,600 --> 00:36:33,239
Speaker 1: I mean, what's it looked like? I mean every every

753
00:36:33,360 --> 00:36:37,799
Speaker 1: every year they all fail someone times. Some are gonna Yeah,

754
00:36:38,400 --> 00:36:40,319
Speaker 1: everyone's gonna go through something. How about out of ten

755
00:36:40,560 --> 00:36:43,279
Speaker 1: what's the ratio you think out of ten people at

756
00:36:43,280 --> 00:36:45,200
Speaker 1: a company? No, no, no, it's much smaller than that,

757
00:36:45,320 --> 00:36:48,120
Speaker 1: much smaller out a hundred out of a hundred, then

758
00:36:48,239 --> 00:36:53,200
Speaker 1: one maybe, because well that means that that that's good.

759
00:36:53,320 --> 00:36:56,080
Speaker 1: The growers and in these these they're all educated now,

760
00:36:56,080 --> 00:36:57,319
Speaker 1: they're all doing it the right way. They're doing it

761
00:36:57,360 --> 00:36:59,560
Speaker 1: the right way. They're not they're not trying to put

762
00:36:59,560 --> 00:37:02,239
Speaker 1: out these are licensed businesses. Of course they have to

763
00:37:02,239 --> 00:37:04,400
Speaker 1: go through you know, high waters to make sure that

764
00:37:04,520 --> 00:37:06,360
Speaker 1: to where if it doesn't pass their going hell and

765
00:37:06,400 --> 00:37:08,799
Speaker 1: the hell did this? That's not in their business plan there,

766
00:37:08,840 --> 00:37:15,480
Speaker 1: that's that's not happening, I hope not. All that being said,

767
00:37:15,600 --> 00:37:18,400
Speaker 1: we all don't expect that to happen. But shit happens

768
00:37:19,000 --> 00:37:22,359
Speaker 1: to grow, even if it's indoor, outdoor, whatever ship could

769
00:37:22,440 --> 00:37:26,520
Speaker 1: happen to where you're like call the strawberry field. So

770
00:37:26,560 --> 00:37:29,520
Speaker 1: are you allowed to protest R and D like the

771
00:37:29,560 --> 00:37:32,120
Speaker 1: same strain or how does that you're you're are you

772
00:37:32,560 --> 00:37:35,920
Speaker 1: testing exactly what their R and D exactly? So if

773
00:37:35,960 --> 00:37:39,239
Speaker 1: it is an oil, they go through their process, whether

774
00:37:39,280 --> 00:37:41,839
Speaker 1: they're you know, just just lit, you know, make it

775
00:37:42,520 --> 00:37:45,239
Speaker 1: u combining oils. Doyn't want to do R and D

776
00:37:45,520 --> 00:37:49,200
Speaker 1: throughout the whole process and then do the compliance. It's

777
00:37:49,239 --> 00:37:54,600
Speaker 1: really important, Yeah, that way that because they have to

778
00:37:54,680 --> 00:37:57,640
Speaker 1: commimize their R and D doing the R and D

779
00:37:57,680 --> 00:38:01,680
Speaker 1: testing and then once the pliance they use a different

780
00:38:01,760 --> 00:38:03,920
Speaker 1: lab or different lab is used and all of a

781
00:38:03,960 --> 00:38:06,400
Speaker 1: sudden it fails when it when it uh when it

782
00:38:06,719 --> 00:38:09,160
Speaker 1: sailed through R and D. But again, I think what

783
00:38:09,200 --> 00:38:11,040
Speaker 1: he was, what you're saying is is by going through

784
00:38:11,040 --> 00:38:15,160
Speaker 1: the protocols of testing it more than just during the final, right,

785
00:38:15,200 --> 00:38:17,120
Speaker 1: so you test it, you know, while it's going through

786
00:38:17,120 --> 00:38:19,520
Speaker 1: its lipid test and this and that test, right, and

787
00:38:19,520 --> 00:38:23,360
Speaker 1: then you're testing this several times. Lipids really need to

788
00:38:23,360 --> 00:38:25,640
Speaker 1: put the food chain? Is that what it was? Is

789
00:38:25,719 --> 00:38:27,759
Speaker 1: that what it was? The fats? What is detective fact?

790
00:38:27,800 --> 00:38:31,239
Speaker 1: What was the strawberry field story you're about to go to. Yeah,

791
00:38:31,280 --> 00:38:34,200
Speaker 1: if you have an outdoor grow cultivator outdoors, you could

792
00:38:34,239 --> 00:38:39,320
Speaker 1: be doing everything perfect fully, above board, doing everything perfect.

793
00:38:39,560 --> 00:38:42,759
Speaker 1: Got the strawberry field a mile down the road and

794
00:38:42,760 --> 00:38:44,719
Speaker 1: they're spraying just as they always do, and they even

795
00:38:44,719 --> 00:38:47,960
Speaker 1: called organic, and you're they're spraying something that's gonna blow over.

796
00:38:48,560 --> 00:38:50,960
Speaker 1: You're screwed. And literally there there's a lot of them

797
00:38:50,960 --> 00:38:53,680
Speaker 1: that are back to back like because we're the cannabis

798
00:38:53,520 --> 00:38:58,640
Speaker 1: m cannabis industry is more regulated than your agriculture. Strawberries

799
00:38:58,680 --> 00:39:01,440
Speaker 1: could be out there be poison and your candidates has

800
00:39:01,480 --> 00:39:05,440
Speaker 1: gone through us as perfect shy strawberries. That's why we're

801
00:39:05,440 --> 00:39:07,759
Speaker 1: gonna eat those, right, I know, we're all put them

802
00:39:07,760 --> 00:39:11,680
Speaker 1: in our kids and everybody else makes only come back.

803
00:39:11,760 --> 00:39:15,359
Speaker 1: Michael Zindel from Think twenty Labs, We're gonna put them

804
00:39:15,360 --> 00:39:18,080
Speaker 1: through the high five lovely. It's Cannabis Talk one on one.

805
00:39:18,120 --> 00:39:32,080
Speaker 1: We'll be right back after this break. Welcome back to

806
00:39:32,120 --> 00:39:34,440
Speaker 1: Cannabis Talk one on one with Blue, Joe Grande and

807
00:39:34,480 --> 00:39:36,600
Speaker 1: Mark and Craig Washerman, the populars that Law. We want

808
00:39:36,600 --> 00:39:38,640
Speaker 1: to thank Pitt Peanut and Pitt and Peanut and Jennifer

809
00:39:38,800 --> 00:39:42,279
Speaker 1: because I always get those names wrong. I always called

810
00:39:42,320 --> 00:39:44,880
Speaker 1: Peanut Pitt and Peanut Peanut? Which one are you? Guys?

811
00:39:45,000 --> 00:39:47,160
Speaker 1: You guys both look alike and they're the furthest thing

812
00:39:47,200 --> 00:39:49,120
Speaker 1: from looking alike if you all could ever see him.

813
00:39:49,600 --> 00:39:51,719
Speaker 1: But thank you guys always, and Ellis for doing what

814
00:39:51,760 --> 00:39:53,880
Speaker 1: you guys do for the show. Michael, It's funny. As

815
00:39:53,880 --> 00:39:56,320
Speaker 1: you walked in, I felt like I've seen you somewhere before.

816
00:39:56,320 --> 00:39:57,799
Speaker 1: And I don't know if it's just because you've got

817
00:39:57,840 --> 00:40:01,839
Speaker 1: the good, strong, broad shoulders. I'm gonna compliment a man

818
00:40:01,880 --> 00:40:05,279
Speaker 1: that I'm hitting on again which on here, But I

819
00:40:05,320 --> 00:40:10,240
Speaker 1: believe my taste blood say I've seen you on Fear Factors? God?

820
00:40:10,800 --> 00:40:12,480
Speaker 1: Is that is that? Is that? Is that a good

821
00:40:12,520 --> 00:40:14,520
Speaker 1: gut check for me? Are you a Fear Factor guy?

822
00:40:14,840 --> 00:40:18,080
Speaker 1: I've been watching Fear Factor for years. Talk about before

823
00:40:18,080 --> 00:40:20,440
Speaker 1: we get to the high five because Craig was on

824
00:40:20,480 --> 00:40:22,960
Speaker 1: Fear Factor, but it was for the elders and it

825
00:40:23,040 --> 00:40:25,200
Speaker 1: was how how fast can you eat is Jello? But

826
00:40:25,320 --> 00:40:27,120
Speaker 1: that's a whole different story. I want to get to

827
00:40:27,200 --> 00:40:29,080
Speaker 1: your story. That's a third time in a row. God,

828
00:40:29,080 --> 00:40:31,319
Speaker 1: I'm sorry, Craig. I love you so much. What did

829
00:40:31,320 --> 00:40:34,040
Speaker 1: you do a Fear Factor involved? It was the third

830
00:40:34,040 --> 00:40:38,120
Speaker 1: season and um, it was actually back to losing my

831
00:40:38,320 --> 00:40:40,640
Speaker 1: father to cancer. I left Wall Street, I be him

832
00:40:40,640 --> 00:40:43,360
Speaker 1: a club promoter to be able to finance myself and

833
00:40:44,480 --> 00:40:49,480
Speaker 1: screw out of chicks. That's as come on, hey, I'm

834
00:40:49,520 --> 00:40:54,440
Speaker 1: married now, asshole. He was fast never mind, get a

835
00:40:54,480 --> 00:41:00,800
Speaker 1: lot of hugs. We'll believe that part out. Yeah. So anyway,

836
00:41:00,920 --> 00:41:05,000
Speaker 1: it's um uh yeah, basically getting into the world I'm

837
00:41:05,040 --> 00:41:07,880
Speaker 1: in now. Um, it's important to know that, you know,

838
00:41:08,719 --> 00:41:12,160
Speaker 1: it's it's it's um. It's important to know like that

839
00:41:12,480 --> 00:41:15,560
Speaker 1: everyone's going through something and everyone could uh get through

840
00:41:15,600 --> 00:41:18,360
Speaker 1: it with a community and education, you know. So the

841
00:41:18,400 --> 00:41:20,280
Speaker 1: Fear Factor? How did you get involved with the Fear factors?

842
00:41:20,280 --> 00:41:22,240
Speaker 1: Fear Factor? So I got I was doing the parting

843
00:41:22,239 --> 00:41:26,200
Speaker 1: promoting and um, they came out for their casting parties

844
00:41:26,600 --> 00:41:30,000
Speaker 1: and I used to host these you know events, and um,

845
00:41:30,520 --> 00:41:35,200
Speaker 1: someone came through and they act flew me out to California,

846
00:41:35,239 --> 00:41:36,520
Speaker 1: and I thought I was gonna get into the production

847
00:41:36,600 --> 00:41:38,879
Speaker 1: or something or event planning, and I know we wanted

848
00:41:38,960 --> 00:41:41,040
Speaker 1: for the show. So I was like, oh, this is crazy.

849
00:41:41,520 --> 00:41:43,239
Speaker 1: I've only seen one episode because the guy was in

850
00:41:43,239 --> 00:41:45,959
Speaker 1: the coffin with a rat. So this is the third

851
00:41:46,000 --> 00:41:48,680
Speaker 1: season and like this is where it's hitting its peak. Yeah,

852
00:41:48,719 --> 00:41:50,600
Speaker 1: it's tending to really get it. So the show I

853
00:41:50,680 --> 00:41:52,200
Speaker 1: was on, it was an hour and a half special

854
00:41:52,360 --> 00:41:54,960
Speaker 1: for four stunts, and we ended up being VH one's

855
00:41:55,040 --> 00:41:57,600
Speaker 1: most outrageous stunt. Like they had the top twenty outrageous

856
00:41:57,600 --> 00:42:02,480
Speaker 1: stunts were number fifteen and number one for that. Um,

857
00:42:02,520 --> 00:42:08,000
Speaker 1: basically the did the Electric Room one. So you go in.

858
00:42:08,120 --> 00:42:10,200
Speaker 1: So you're driving up to the set. They blindfold you

859
00:42:10,520 --> 00:42:15,359
Speaker 1: Joe Rogan's massacre anxiety just thinking about it. So I'm

860
00:42:15,400 --> 00:42:17,880
Speaker 1: peeking out the van and I'm looking at the craft

861
00:42:17,880 --> 00:42:19,920
Speaker 1: table with the crew and stuff, and there's this like

862
00:42:19,960 --> 00:42:23,120
Speaker 1: six ft five guy with tattoos and piercings all over them.

863
00:42:23,120 --> 00:42:26,600
Speaker 1: My holy ship, Joe Rog's gonna tear fair factor on us.

864
00:42:26,600 --> 00:42:28,040
Speaker 1: So we get there. You go to the you know,

865
00:42:28,120 --> 00:42:31,400
Speaker 1: it's an abandoned jail in the desert and you're walking

866
00:42:31,440 --> 00:42:35,200
Speaker 1: through and um. Yeah, so the first stunt was your

867
00:42:35,200 --> 00:42:37,520
Speaker 1: strap or the end up being this is now the

868
00:42:37,560 --> 00:42:41,319
Speaker 1: third second stut um your strip, turn electric chair and

869
00:42:41,360 --> 00:42:44,759
Speaker 1: then comes the guy called Cliff cad Diver got these

870
00:42:44,880 --> 00:42:47,799
Speaker 1: long black leather gloves on, snapping them and you're just

871
00:42:47,840 --> 00:42:50,719
Speaker 1: freaking out. You're strapped, turn electric chair and out he

872
00:42:50,840 --> 00:42:54,520
Speaker 1: pulls open the table ten needles, each needle getting thicker,

873
00:42:55,360 --> 00:42:58,040
Speaker 1: and just you stopped there and they pierce you. They

874
00:42:58,040 --> 00:43:00,960
Speaker 1: take the skin, stick the needle through and out the

875
00:43:00,960 --> 00:43:04,279
Speaker 1: other way and they do it ten times. So I'm

876
00:43:04,360 --> 00:43:07,440
Speaker 1: laughing the whole. Like one girl's legitimate fear was needles

877
00:43:07,640 --> 00:43:11,680
Speaker 1: and she would you say needles, she turns white. Some

878
00:43:11,719 --> 00:43:13,680
Speaker 1: people do a lot of funny things with the ever things. Yeah,

879
00:43:13,680 --> 00:43:16,160
Speaker 1: I hear that. So um. There was one woman who

880
00:43:16,200 --> 00:43:19,160
Speaker 1: was on the show. Um yeah, so she was like

881
00:43:19,600 --> 00:43:22,680
Speaker 1: Howard Stern had the winner from the show, which is

882
00:43:22,680 --> 00:43:25,479
Speaker 1: this woman I'll tell you why. Um on her show

883
00:43:25,520 --> 00:43:29,440
Speaker 1: the next day she was crying so hysterically and Howard

884
00:43:29,480 --> 00:43:32,960
Speaker 1: had like, I guess a porn like Caudioscape couldn't tell

885
00:43:32,960 --> 00:43:35,560
Speaker 1: the difference. Oh, it sounded like she was moaning that

886
00:43:35,960 --> 00:43:37,759
Speaker 1: was that was the number one stunt on d H

887
00:43:37,880 --> 00:43:42,839
Speaker 1: one back. It always goes back and goes sexual. Yeah,

888
00:43:42,880 --> 00:43:44,719
Speaker 1: well you gotta love it. Well, I'm glad you go

889
00:43:44,800 --> 00:43:47,120
Speaker 1: from there to think twenty labs. It's Michael's and Dale.

890
00:43:47,160 --> 00:43:49,839
Speaker 1: It's now time for the high five. Question number one,

891
00:43:50,160 --> 00:43:52,080
Speaker 1: how old are you the first time you smoked cannabis?

892
00:43:52,120 --> 00:43:54,640
Speaker 1: And where'd you get it from? Probably eighteen senior or

893
00:43:54,719 --> 00:43:57,680
Speaker 1: high school. A bunch of buddies played football with Where's that?

894
00:43:57,680 --> 00:43:59,960
Speaker 1: Where where you play? Where you go? Mott pill needs you,

895
00:44:00,040 --> 00:44:05,959
Speaker 1: j Isy Morris County. I'm a Jersey guy. Question number

896
00:44:06,000 --> 00:44:08,239
Speaker 1: two for the high five, what is your favorite way

897
00:44:08,320 --> 00:44:11,440
Speaker 1: to use cannabis? I guess back in college might have

898
00:44:11,440 --> 00:44:14,239
Speaker 1: been a bond, but today of Aypenn, very discreet, you know,

899
00:44:14,320 --> 00:44:16,000
Speaker 1: I don't want to disrupt anybody else in the room

900
00:44:16,080 --> 00:44:19,880
Speaker 1: kind of thing. Very nice, very nice. It's yeah. Question

901
00:44:19,920 --> 00:44:22,399
Speaker 1: number three of the High five, craziest place you've ever

902
00:44:22,640 --> 00:44:28,160
Speaker 1: used or smoked cannabis? With Michael's and Dell date twenty laps.

903
00:44:28,160 --> 00:44:31,440
Speaker 1: Well to come to mind, um as I was starting

904
00:44:31,440 --> 00:44:34,920
Speaker 1: out in cannabis, I guess. Um. Uh. Second show was

905
00:44:34,960 --> 00:44:37,480
Speaker 1: on It was called The Rebel Billionaire with Richard Branson.

906
00:44:37,520 --> 00:44:39,680
Speaker 1: That was on Fox. That was right around the time

907
00:44:39,719 --> 00:44:45,040
Speaker 1: The Apprentice was hot back then. Um, so basically, uh yeah,

908
00:44:45,920 --> 00:44:48,920
Speaker 1: um you know that show. Yeah, it was a big

909
00:44:49,000 --> 00:44:51,279
Speaker 1: time in my life because you know, I was out

910
00:44:51,320 --> 00:44:53,200
Speaker 1: there and I just did it all. The craziest time

911
00:44:53,239 --> 00:44:55,960
Speaker 1: was on Neckar Island and I was with the cast

912
00:44:56,320 --> 00:44:59,839
Speaker 1: of the show and the crew. What island is this again?

913
00:45:00,560 --> 00:45:03,840
Speaker 1: I'm sorry Neckar Island. It's Richard Branson bought this island.

914
00:45:04,080 --> 00:45:05,800
Speaker 1: In fact, it's a funny story about him because, like

915
00:45:05,800 --> 00:45:07,840
Speaker 1: I read his book Losing My Virginity. In fact, a

916
00:45:07,920 --> 00:45:10,640
Speaker 1: lot of the show was about following stunts in his

917
00:45:10,719 --> 00:45:13,600
Speaker 1: life that he's done. It was it was a cross

918
00:45:13,640 --> 00:45:16,400
Speaker 1: between The Apprentice and The Amazing Race. And the boardroom

919
00:45:16,400 --> 00:45:18,600
Speaker 1: was in the sky basically. And at the end of

920
00:45:18,640 --> 00:45:21,120
Speaker 1: the show, we have two teams that compete. The losing

921
00:45:21,360 --> 00:45:24,960
Speaker 1: leader picked somebody else for another challenge, and basically whoever

922
00:45:25,040 --> 00:45:28,640
Speaker 1: loses the whole that that's episode. He hands two tickets

923
00:45:28,640 --> 00:45:30,719
Speaker 1: to you and one tickets to the next destination, one

924
00:45:30,719 --> 00:45:35,319
Speaker 1: tickets home of Richard Branson. Very classic guy. Smart as

925
00:45:35,360 --> 00:45:37,879
Speaker 1: house so on that island was pretty crazy. Oh yeah,

926
00:45:37,920 --> 00:45:40,920
Speaker 1: so yeah we were it was nick Or Island. Everyone

927
00:45:41,000 --> 00:45:43,719
Speaker 1: came back for the show for the final episode and

928
00:45:43,840 --> 00:45:46,680
Speaker 1: um yeah after the show, big party, um, you know

929
00:45:46,680 --> 00:45:49,160
Speaker 1: back in the kitchen. You know Jermaine he actually got

930
00:45:49,160 --> 00:45:52,200
Speaker 1: to beat South Africa to go down to Nelson Mandela.

931
00:45:52,840 --> 00:45:55,240
Speaker 1: It was crazy like the things we were able to experience.

932
00:45:55,520 --> 00:45:57,080
Speaker 1: And yeah, I got high with the producers in the

933
00:45:57,080 --> 00:45:59,279
Speaker 1: cast and a couple. You know. That sounds like a

934
00:45:59,280 --> 00:46:01,680
Speaker 1: fun place right there. Question number four the high five.

935
00:46:01,960 --> 00:46:04,719
Speaker 1: What is your go to munchies after you get high?

936
00:46:04,920 --> 00:46:08,280
Speaker 1: Uh yeah, definitely anything chocolate, peanut butt and jelly sandwiches.

937
00:46:08,520 --> 00:46:12,640
Speaker 1: I guess it's still still young. Are still great even

938
00:46:12,680 --> 00:46:17,279
Speaker 1: when you're not j Sometimes it's just great, you know

939
00:46:17,320 --> 00:46:19,600
Speaker 1: what I had yet, I was in in uh in

940
00:46:19,680 --> 00:46:22,279
Speaker 1: downtown the other day and we were we're out there

941
00:46:22,440 --> 00:46:26,000
Speaker 1: and dealing with some of our sponsors and and um,

942
00:46:26,040 --> 00:46:27,719
Speaker 1: and I was starving, and I wanted to go sit

943
00:46:27,760 --> 00:46:29,600
Speaker 1: down and eat because I've been on my feet half

944
00:46:29,600 --> 00:46:32,319
Speaker 1: the day and I was ready just to relax, you know.

945
00:46:32,400 --> 00:46:33,680
Speaker 1: I was like, and I didn't want to get back

946
00:46:33,680 --> 00:46:35,839
Speaker 1: in traffic, so I was like, Oh, let's stop somewhere. Well,

947
00:46:35,880 --> 00:46:37,839
Speaker 1: nothing's really open in l A right now. I mean

948
00:46:37,960 --> 00:46:44,080
Speaker 1: it's just started yesterday or just recently or whatever. But uh,

949
00:46:44,120 --> 00:46:48,400
Speaker 1: there's I found this, uh this food court and it

950
00:46:48,480 --> 00:46:51,200
Speaker 1: was a very nice food court. They had lobsters and

951
00:46:51,320 --> 00:46:55,000
Speaker 1: the difference just different fresh pastas. And then I'm rolling

952
00:46:55,040 --> 00:46:58,000
Speaker 1: through with this gentleman of all people, Mark, and there's

953
00:46:58,000 --> 00:47:00,360
Speaker 1: a donut place and his wife's there and she starts

954
00:47:00,360 --> 00:47:02,799
Speaker 1: talking about doughnuts and then he goes, dude, and then

955
00:47:02,800 --> 00:47:07,239
Speaker 1: I'm none of us are doing high, maybe, but but

956
00:47:07,320 --> 00:47:09,239
Speaker 1: none of us. None of us. It was the end

957
00:47:09,280 --> 00:47:10,759
Speaker 1: of my day, Craig, leave me alone. And I'm just

958
00:47:10,840 --> 00:47:13,400
Speaker 1: kidding so so, but it was the end of our day.

959
00:47:13,440 --> 00:47:15,480
Speaker 1: We were going there and we're walking through and I'm

960
00:47:15,480 --> 00:47:18,880
Speaker 1: looking for Mark and I just ordered my food and

961
00:47:18,960 --> 00:47:21,440
Speaker 1: I come back and I go, what do you? And

962
00:47:21,440 --> 00:47:23,680
Speaker 1: I look at Marks in line. He's like, and I

963
00:47:23,960 --> 00:47:26,600
Speaker 1: what are you getting a peanut butter and jelly donut?

964
00:47:27,480 --> 00:47:34,960
Speaker 1: And I'm like, I want one. Someone better have been high. No, no, dude.

965
00:47:34,960 --> 00:47:37,200
Speaker 1: We ended up taking half a dozen and half a

966
00:47:37,280 --> 00:47:40,080
Speaker 1: dozen of those donuts home, dude, and those peanut butter

967
00:47:40,120 --> 00:47:43,520
Speaker 1: and jelly donuts were fired. Dude, I've never had one.

968
00:47:43,719 --> 00:47:48,279
Speaker 1: I never had five. Now I want donuts. Oh my god,

969
00:47:48,360 --> 00:47:51,600
Speaker 1: and this and at this, I'm telling you its number five.

970
00:47:52,280 --> 00:47:56,640
Speaker 1: I hope anyone dead or alive, who would it be?

971
00:47:57,040 --> 00:48:00,160
Speaker 1: H I definitely my father. I mean he smoked called

972
00:48:00,200 --> 00:48:02,200
Speaker 1: amental one twenties. I mean he was killing himself. Back

973
00:48:02,200 --> 00:48:04,680
Speaker 1: to any died of cancer and we didn't know about

974
00:48:04,719 --> 00:48:07,040
Speaker 1: cannabis back then. I wish I could have helped with

975
00:48:07,040 --> 00:48:09,080
Speaker 1: his ailment. You get him through. It was a terminal cancer,

976
00:48:09,120 --> 00:48:14,080
Speaker 1: so you know long no multiple mileoma, which is a

977
00:48:14,120 --> 00:48:17,520
Speaker 1: white blood cell. Basically, I did a team in training,

978
00:48:18,080 --> 00:48:20,600
Speaker 1: um you know Lukemi Little Foma Society, done a lot

979
00:48:20,640 --> 00:48:23,200
Speaker 1: of fundraising for them, got involved, and that's what's important.

980
00:48:23,239 --> 00:48:26,239
Speaker 1: I mean, it's just you know, having meaning in determination

981
00:48:26,239 --> 00:48:29,040
Speaker 1: behind doing what's right. It's just so crazy to think

982
00:48:29,040 --> 00:48:31,680
Speaker 1: of these elements that you know, are killing people that

983
00:48:31,719 --> 00:48:34,399
Speaker 1: they can be using cannabis for, and that they could

984
00:48:34,400 --> 00:48:36,960
Speaker 1: have used cannabis for, and your dad passing not even

985
00:48:36,960 --> 00:48:39,960
Speaker 1: twenty years ago, and going in your dad as well,

986
00:48:40,000 --> 00:48:42,040
Speaker 1: blew both of you guys, and digging damn it if

987
00:48:42,040 --> 00:48:44,320
Speaker 1: they you know, there's a little bit of not a

988
00:48:44,360 --> 00:48:46,800
Speaker 1: little bit. There's a lot of information now saying try these,

989
00:48:46,920 --> 00:48:48,760
Speaker 1: try that, try that, it can give you a longer,

990
00:48:48,880 --> 00:48:51,359
Speaker 1: healthier life. So I've been blessed with my wife. We're

991
00:48:51,360 --> 00:48:53,680
Speaker 1: married to my father in law who suffered the stroke

992
00:48:53,800 --> 00:48:55,200
Speaker 1: a couple of years ago. And you guys talked about

993
00:48:55,200 --> 00:48:56,839
Speaker 1: oxy cotton earlier. I mean he was supposed to be

994
00:48:56,840 --> 00:49:00,320
Speaker 1: prescribed oxy and our the family, which really you know, strong,

995
00:49:00,440 --> 00:49:03,439
Speaker 1: you know type family, were concerned. I mean they turned

996
00:49:03,440 --> 00:49:06,160
Speaker 1: to me, and what's funny he did? He made him

997
00:49:06,160 --> 00:49:08,840
Speaker 1: promise me, I'll bring this show at my wedding and

998
00:49:09,040 --> 00:49:11,360
Speaker 1: I go, please thought my mother will be listening. My

999
00:49:11,440 --> 00:49:15,200
Speaker 1: mother will be there. I'm sorry he wanted to go,

1000
00:49:15,400 --> 00:49:18,000
Speaker 1: you know that he wanted to thank his son in

1001
00:49:18,080 --> 00:49:20,239
Speaker 1: law of the drug dealer. And I'm like, I'm not.

1002
00:49:21,160 --> 00:49:23,520
Speaker 1: I'm trying to I'm trying to edu CA, I'm trying

1003
00:49:23,520 --> 00:49:26,240
Speaker 1: to keep the public safe. You're trying to test this stuff.

1004
00:49:29,920 --> 00:49:32,920
Speaker 1: So I got on CBD and in fact, he didn't

1005
00:49:33,000 --> 00:49:35,239
Speaker 1: have to take the oxy cotton. We're so thankful for that.

1006
00:49:35,440 --> 00:49:38,320
Speaker 1: You absolutely, that's That's what I'm saying, that the education

1007
00:49:38,400 --> 00:49:40,640
Speaker 1: curve isn't out there enough to the rest of the world,

1008
00:49:40,680 --> 00:49:44,040
Speaker 1: because if you know, you know, I mean, if if

1009
00:49:44,120 --> 00:49:46,520
Speaker 1: I'm not feeling well and I have pains, I could

1010
00:49:46,560 --> 00:49:49,520
Speaker 1: smoke some pot and feel okay. I could take some CBD.

1011
00:49:49,600 --> 00:49:51,879
Speaker 1: There's rubs that you can put on yourself that will

1012
00:49:51,920 --> 00:49:55,560
Speaker 1: do very similar jobs. Is that oxy, cotton or Viking?

1013
00:49:57,239 --> 00:50:00,120
Speaker 1: I love rubbing myself. You know you want to help

1014
00:50:00,160 --> 00:50:02,640
Speaker 1: me rub my head? Get some get some at at

1015
00:50:02,719 --> 00:50:06,800
Speaker 1: what's smoking? Go yeah smoking? Go us smoking. Go to

1016
00:50:06,880 --> 00:50:09,760
Speaker 1: rub yourself. You get some pop brothers at last, CBD

1017
00:50:10,040 --> 00:50:17,560
Speaker 1: ointment cream or lotion and coming soon they have rash cream.

1018
00:50:18,640 --> 00:50:28,680
Speaker 1: The positories, but they're used. That's a good way to

1019
00:50:28,760 --> 00:50:30,560
Speaker 1: end it. Do you know what before we let you go,

1020
00:50:30,680 --> 00:50:32,600
Speaker 1: Michael's anything else that you want to promote for your

1021
00:50:32,680 --> 00:50:36,280
Speaker 1: spot once again? Thik twenty labs dot com is the website.

1022
00:50:36,320 --> 00:50:39,480
Speaker 1: Anything else that you want to promote? Uh yeah, just

1023
00:50:39,560 --> 00:50:42,680
Speaker 1: the fact that everybody, everybody out there, get educated and

1024
00:50:43,080 --> 00:50:46,360
Speaker 1: be strong in your community. We all need it now. No,

1025
00:50:46,520 --> 00:50:48,520
Speaker 1: we we want to thank you for joining the show

1026
00:50:48,560 --> 00:50:50,520
Speaker 1: and please feel free to come back to the show

1027
00:50:50,520 --> 00:50:53,200
Speaker 1: anytime you have an open invitation. It's Cannabis Talk one

1028
00:50:53,200 --> 00:50:55,759
Speaker 1: on one. Remember this. If no one else loves you.

1029
00:50:56,120 --> 00:51:01,160
Speaker 1: We do no ware. Thank you for listening to Cannabis

1030
00:51:01,200 --> 00:51:03,279
Speaker 1: Talk one oh one on the I Heart Radio app,

1031
00:51:03,400 --> 00:51:11,680
Speaker 1: Apple podcast, or wherever you get your podcasts. H.