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Speaker 1: Welcome the Cannabis Talk one oh one featuring Blue with

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Speaker 1: Joe Bronde, the world's number one source for everything cannabis.

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Speaker 2: Hello, welcome to Cannabis Talk one on one, the world's

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Speaker 2: number one source for everything cannabis. My name's Blue. Alongside

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Speaker 2: of it is mister Joe Grande, and you are now

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Speaker 2: tuned into the greatest cannabis show on the planet.

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Speaker 3: That's Rogie.

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Speaker 2: Guys.

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Speaker 4: Thank you all for listening to our podcast all around

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Speaker 4: the world. Make sure you check out the website Cannabis

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Speaker 4: Talk one on one dot com as we are the

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Speaker 4: world's number one source for everything cannabis, and feel free

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Speaker 4: to give us a call anytime one.

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Speaker 3: Eight hundred and four twenty nineteen eighty.

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Speaker 4: And ask for Jessica because you'll call you back personally

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Speaker 4: if you want to hear her sexy voice and be

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Speaker 4: in the magazine, Say Jessica, I want to get in

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Speaker 4: the mag Call her up and leave her a voicemail

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Speaker 4: and that's one hunters.

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Speaker 2: Four, twenty nineteen eighty.

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Speaker 3: H Jessica, this is Larry. I want to get in

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Speaker 3: the magazine.

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Speaker 5: Hello.

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Speaker 4: We got so many great articles and blogs on the

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Speaker 4: site too for you to check out. So make sure

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Speaker 4: you go check all that stuff out. Follow us on

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Speaker 4: IG at Cannabis Talk one oh one. My brother from

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Speaker 4: another mother right next to me is at the one

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Speaker 4: Christopher Wrights aka my brother Blue, and I am at

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Speaker 4: Joe Brande. And I got to remind you guys at

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Speaker 4: the Bear Flag Group, at your White Label Partners, you

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Speaker 4: guys are known to be on time, accurate and do

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Speaker 4: quality copackaging. They have been launching brands in California since

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Speaker 4: twenty fifteen and at the Bear Flag Group they do

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Speaker 4: what they say they're gonna do. Check them out online

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Speaker 4: at bearflaggroup dot com. Today on the show, we've got

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Speaker 4: a very special guest who I enjoyed reading so many

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Speaker 4: things that you put up on there for us to

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Speaker 4: read there, Matt, But we got this software engineer developer,

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Speaker 4: Matt Frisbee.

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Speaker 3: Is that correct? Frisbee? You got it like the toy? Okay? Great?

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Speaker 3: Who is very smart?

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Speaker 2: Blue?

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Speaker 4: When I say very smart, I mean you might as

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Speaker 4: well say he started Google. Okay, maybe not, but you know,

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Speaker 4: I mean he's up there. He's an early developer, dude,

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Speaker 4: from the Googles to the door dashes and everything else

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Speaker 4: that you can imagine.

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Speaker 2: But you know.

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Speaker 4: At bottom line is he's the creator of track and

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Speaker 4: Trace Tools, the most popular open source cannabis platform now.

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Speaker 4: The Chrome extension is free and used by hundreds of

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Speaker 4: companies to report billions of dollars in cannabis commerce now.

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Speaker 4: Track and Trace Tools is a Chrome extension that enhances

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Speaker 4: metric by automating compliance task and generating advanced analytics about

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Speaker 4: a cannabis operation. The man has a BS in computer

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Speaker 4: engineering from the University of Illinois and this award winning author,

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Speaker 4: so he's no bullshit you know what I mean. It

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Speaker 4: has his fifth and latest book out called Building Browser Extension,

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Speaker 4: which is now available on Amazon. If you want to

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Speaker 4: read one of his latest books, are you want to

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Speaker 4: check him out on ig, Track Trace Tools and personally Matt.

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Speaker 3: Friz which is m A. T. T.

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Speaker 4: Fri Z or visit his website track and Trace dot

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Speaker 4: Tools to help your company's workflows in metric. Please welcome

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Speaker 4: to the show, you guys, mister smarty Pants, himself, Max

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Speaker 4: and Jack jacket Fire.

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Speaker 3: Not only I want my logo, here's the funniest part.

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Speaker 4: As cool as he looks, and then him talking, I'm

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Speaker 4: talking him beforehand, I would never expect you to be

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Speaker 4: the greatest, smartest nerd that you are, like, because you

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Speaker 4: didn't come off like mister smarty pants it guy.

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Speaker 3: When I first met you, I was like, Oh, this

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Speaker 3: dude's cool.

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Speaker 4: He's talking about my dog and this, you know, I

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Speaker 4: mean those guys are more introverted whatever, just a little different,

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Speaker 4: you know what I mean. I mean, this is call

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Speaker 4: it what is And most of my experiences meeting guys

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Speaker 4: who do this type of stuff right the it Hey,

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Speaker 4: how you doing.

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Speaker 3: Right? Not worse? Teddy at your dog and this is it.

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Speaker 3: You're coming in just hanging and flowing and being real cool.

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Speaker 4: But it's great to have you here man, and reading

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Speaker 4: the things that you've done so far with this track

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Speaker 4: and trace.

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Speaker 3: How did you get involved in that?

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Speaker 4: Like I said, I know you started at Google and

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Speaker 4: you started the door dash stuff, but how cannabis and

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Speaker 4: this company that you're doing now.

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Speaker 5: Yeah, So really the start to this is is a

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Speaker 5: story of failure, so.

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Speaker 3: Some of the best.

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Speaker 5: So before this, I was I'm working on a very

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Speaker 5: small canvas startup that was focused on kind of building

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Speaker 5: a cannabis marketplace. And so I was working on for

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Speaker 5: three years, you know, raise some money, hired company ultimately

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Speaker 5: didn't work out, but in the process it was a

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Speaker 5: very informative experience because you learned exactly what not to do.

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Speaker 5: And so at the end of three years, you know,

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Speaker 5: we sharted the company and then you know, turn everything down.

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Speaker 5: And one of the things that we had tried. You know,

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Speaker 5: when you start to fail, like you really try and start,

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Speaker 5: you'll throw anything against the wall. So like we tried

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Speaker 5: to run like a sweepstakes and like it didn't work out,

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Speaker 5: and like tried to just anything. You're like anything you

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Speaker 5: can see the end is right there, and you're like,

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Speaker 5: oh my god, you know, doing do anything to keep

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Speaker 5: it going to stay alive. And so, you know, nothing

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Speaker 5: worked out and we shut down. And one of the

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Speaker 5: things that we had tried was we built this little

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Speaker 5: chrome extension for Metric, So for those of you're not

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Speaker 5: familiar with Metric. Every state when they legalized cannabis, basically,

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Speaker 5: you know, the typical processes the voters will you know,

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Speaker 5: they'll pass a proposition and then that will then get

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Speaker 5: written in there's a rulemaking process in the state, and

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Speaker 5: so they'll typically establish some sort of cannabis regulatory agency

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Speaker 5: and that agency says, okay, well we need to track

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Speaker 5: everything that's going on with cannabis because one we need

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Speaker 5: to collect taxes and two we need to collect or

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Speaker 5: we need to make sure that you know, there's no

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Speaker 5: black market. You know, is the black market where precisely precisely,

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Speaker 5: So all the states will they'll put out an RFP

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Speaker 5: and then companies will pitch them to basically say, okay,

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Speaker 5: we'll use our platform, like we can operate this for you,

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Speaker 5: and then you'll pass to do it. So Metric is

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Speaker 5: that platform. So every time a state legalizes, like for example,

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Speaker 5: Kentucky legalized a couple of days ago, Kentucky is or

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Speaker 5: they legalized medical you know, in the coming months, as

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Speaker 5: they flesh out what cannabis is going to look like

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Speaker 5: in that state, they're going to be entertaining entertaining proposals

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Speaker 5: from a bunch of different companies saying we want to

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Speaker 5: run your track and traise platform. Metric will certainly be

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Speaker 5: one of them, and so the state will pick one.

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Speaker 5: So like for example, California is a Metric state, they'll

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Speaker 5: say we you know, we're gonna use this platform, will

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Speaker 5: pay this amount of money, and then all the cannabis

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Speaker 5: companies now use Metric. You have to. There's no other way. Mandatory, mandatory,

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Speaker 5: one hundred percent mandatory and so and you thereby have

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Speaker 5: to play by the rules of metric. And so we

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Speaker 5: built this extension to tie back into the company. We

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Speaker 5: built this extension that basically made using metric a little

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Speaker 5: bit easier and uh, but it wasn't the main product.

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Speaker 5: It wasn't. It was just something to like, you know,

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Speaker 5: get installs funnel people right. It was like it was

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Speaker 5: like a side thing. It was, you know, it's the

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Speaker 5: funnel people in. But ultimately it wasn't what we were

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Speaker 5: working on. And then when you shut the company down, Uh,

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Speaker 5: I started getting emails from a lot of companies saying,

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Speaker 5: do not shut this down like you. Like one guy

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Speaker 5: emailed me, he said, I when I when you When

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Speaker 5: I got the shutdown email, I literally screamed no, like it.

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Speaker 5: I was like, oh, like, okay, I think we were

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Speaker 5: in the completely going the completely wrong direction. So you know,

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Speaker 5: the company is dead. But then, you know, I was

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Speaker 5: kind of as I was working on my next book,

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Speaker 5: I was kind of thinking, I was like, Okay, well,

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Speaker 5: like what do we do with this? Like I, you know,

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Speaker 5: I you know, the company's gone, Like everyone's gone to

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Speaker 5: do their separate ways, but like it's still there, right,

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Speaker 5: these companies still need this. So what I said was, Okay,

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Speaker 5: I threw everything out, I started from scratch, but I said, okay,

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Speaker 5: how can we make this as simple as possible? Right?

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Speaker 5: Like things we learned billions companies that like, it is

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Speaker 5: incredibly hard to sell canvas companies just in general, anyone.

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Speaker 5: It's it's hard right there. Their wallets are very tight, right.

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Speaker 5: The market's in a you could probably call it a

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Speaker 5: depression right now, and you know, it's very, very hard

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Speaker 5: to sell them. And then the other thing that I

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Speaker 5: learned was they hated me. Oh my god, they hated me.

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Speaker 5: They wanted like this software Silicon Valley puke coming in.

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Speaker 5: They're like, look look at this guy, like what do

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Speaker 5: you know about Canada? Right? And the thing that that

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Speaker 5: was the thing is like I the initial idea for

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Speaker 5: our company was like, you know, let's build this marketplace

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Speaker 5: because everyone's using metric and they'll have to use us,

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Speaker 5: which is there are many companies out there that like

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Speaker 5: that's the like, oh, you have to use this compliance

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Speaker 5: platform that the state makes you use. And so then

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Speaker 5: we'll just sprinkle a bunch of a bunch of other

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Speaker 5: stuff on top of it, and then that's like, that's

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Speaker 5: our secret sauce. And so we went down the same

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Speaker 5: rabbit hole. We said, oh yeah, well like these companies like, well,

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Speaker 5: like that, that's how we'll make our money. They'll have

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Speaker 5: to use us, which is of course the complete wrong direction.

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Speaker 5: And so so throw all that away. So let's start,

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Speaker 5: let's start with something completely different. Let's like, let's approach

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Speaker 5: this from like the simplest possible perspective, which is that

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Speaker 5: I metric does not need to be painful, and one

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Speaker 5: and two that these companies fundamentally need help and can't

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Speaker 5: and can't pay for huge pieces of software. Right, it

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Speaker 5: doesn't work that way, especially, I mean it's everything's getting

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Speaker 5: worse in the industry. And so the platform as it

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Speaker 5: is is it's it's it's free, and it's open source.

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Speaker 5: So what does that mean. So one that any cannabis

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Speaker 5: company can go right now to the Insight with the website,

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Speaker 5: install it in their browser, and start using it right away.

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Speaker 5: There's no sign up, it's it's free. And then it's

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Speaker 5: open source, which means that all the code I write

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Speaker 5: for this is visible to anyone, So anyone can go

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Speaker 5: in and take it, modify it whatever they want, or

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Speaker 5: verify that I am not stealing your ship.

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Speaker 2: And if and if but if if they modify it,

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Speaker 2: they can't modify it with your side. You have to

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Speaker 2: give them permissions so they'll show you what their modification

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Speaker 2: and then you can then then look at it and go,

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Speaker 2: this doesn't work because that or do you just let

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Speaker 2: them modify it and it starts to playing, so they

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Speaker 2: it's built in its own monster.

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Speaker 5: Yeah, good question. So the the way the way it

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Speaker 5: works is that like I have, there's the real like

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Speaker 5: there's the version that I deploy that anyone installs. So

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Speaker 5: that's like the with all that's visible as everything everything's visible,

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Speaker 5: not well not customer information, but correct. Yeah, but how

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Speaker 5: how how everything works? The internals are visible. If you

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Speaker 5: want to go and download it and modify it and

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Speaker 5: like run it on your own, go do it. I

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Speaker 5: have no I have no saying that you can. The

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Speaker 5: way the way it's licensed is that you can as

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Speaker 5: long as you're you.

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Speaker 2: The first ever to do something like that. So I've

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Speaker 2: never heard a lot of people are doing that open

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Speaker 2: source right now right.

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Speaker 5: So the thing is like open source is not a

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Speaker 5: common business model. But it's everywhere. Right, are all our

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Speaker 5: phones right now run open source software or software that

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Speaker 5: is based off of it? It is the entire computing

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Speaker 5: industry runs at least partially off of open source software.

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Speaker 2: And so I bitcoin is running off of it too.

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Speaker 5: Well, technically bitcoin is open source, but it's that it's

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Speaker 5: it's valuated. Well, bitcoin is not a company, so that's

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Speaker 5: a whole I'm personally not not a big fan of crypto,

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Speaker 5: but that's that's a whole other thing, and so.

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Speaker 2: Different different show, different day.

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Speaker 5: Yeah, yeah, so uh anyway, so I and the open

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Speaker 5: source part is not actually not all that important because

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Speaker 5: the companies ultimately use this. They're not software companies. They're farmers,

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Speaker 5: they're they're process they don't they don't, they don't give

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Speaker 5: two ships about software. It's just not important to them.

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Speaker 5: But that's why it works because this is like there

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Speaker 5: as as the cannabis industry, especially in California, continues to contract, right,

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Speaker 5: there's an immense amount of pressure in these companies to

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Speaker 5: like cut costs wherever they can. And so I have

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Speaker 5: found a place that works because on one end, the

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Speaker 5: smallest mom and pop shops they can use this right,

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Speaker 5: Cannabis compliance is a huge headache for them. They're metric

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Speaker 5: is there, So I guess we'll we'll talk about metric next.

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Speaker 5: But it's a huge it's a huge headache for them.

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Speaker 5: It's a it's a massive problem, and it they there's

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Speaker 5: all sorts of problems that metric has caused with the industry.

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Speaker 5: But uh, but they ultimately, you know, it's free for them,

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Speaker 5: Like they don't have to pay for it. So I do.

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Speaker 5: I offer a low cost licensing if you want like

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Speaker 5: extra support and some extra features, like, but it's it's

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Speaker 5: low cost. I'm not I'm not positioning it to like

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Speaker 5: completely screw the small people. On the other hand, everyone

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Speaker 5: from the smallest companies to the largest ones, they all

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Speaker 5: have to use metric in the exact same way. And

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Speaker 5: so that means the largest MSOs, right, your Cresco labs,

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Speaker 5: your glasshouse farms, they're all using metric in the exact

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Speaker 5: same way. And so what I've found is that the

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Speaker 5: largest companies, they are their processes are so rigid and

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Speaker 5: like they do things. I mean, I visited huge farms,

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Speaker 5: I visited huge processors. The way that they do things unbelievable.

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Speaker 5: It's unbelievely when you see these places. And so they

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Speaker 5: have a very specific way of doing things because they

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Speaker 5: have optimized everything. Every process everyone's doing, every minute that

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Speaker 5: they spend is like all basically perfected, and so they

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Speaker 5: need custom stuff. And so the way that they use

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Speaker 5: Metric is they basically throw huge teams at people. They

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Speaker 5: say like, okay, we'll have like ten people and they'll

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Speaker 5: just be like entering stuff in Metric all day. And

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Speaker 5: so mots is crazy, it's crazy. But that's also they go, Okay,

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Speaker 5: there's no no software company can like give us like

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Speaker 5: a one size fits all solution. It just doesn't work.

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Speaker 5: And so they'll come to me and they'll say, we

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Speaker 5: are know, we're we have this like very problematic bottleneck,

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Speaker 5: Like I can you customize basically Metric in a way

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Speaker 5: that like works for us. And so the way that

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Speaker 5: I make most of my money is that I do

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Speaker 5: consulting for huge cannabis companies and I build stuff special

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Speaker 5: for them. So I basically am customizing Metric in a

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Speaker 5: way that works for only that company and only they

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Speaker 5: have access to. And so ultimately what this has turned into,

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Speaker 5: so as you mentioned at the start of the show,

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Speaker 5: this so there's like seven hundred cannabis companies using it

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Speaker 5: right now. And because I've captured a number of very

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Speaker 5: large companies, there's like billions in plants being harvested, like

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Speaker 5: billions of dollars worth of like wholesale plants coming off.

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Speaker 5: Like there's tons of activity. And so I mean, you know,

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Speaker 5: I'm still in a minority industry, but the I would say,

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Speaker 5: it's it's modestly successful, and you know, I it's it's

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Speaker 5: it's not a huge product. But I think I've hit

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Speaker 5: upon something very fundamental, which is that these these companies

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Speaker 5: they want to be treated like with respect, because I they'

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Speaker 5: even slapped around in so many different ways when you

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Speaker 5: for them a common sense solution that's not screwing them,

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Speaker 5: Like they respond very positively. So coming from four years

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Speaker 5: ago when I ended the industry and like you know,

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Speaker 5: we talked to companies and they'd be like, Okay, who

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Speaker 5: is this Get the hell out here, man, Like it's

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Speaker 5: it's been completely transformative. Like I have very good relationship

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Speaker 5: with cannabis companies now, Like they really like me. I

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Speaker 5: you know, like we you know, we communicate about like

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Speaker 5: what they need, and like it's it's all very open.

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Speaker 4: You're able to put what they need onto a platform

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Speaker 4: that's more from these apps or this, and that could

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Speaker 4: because you come from that world where you're a Google guy,

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Speaker 4: your door gas guy that created all this software.

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Speaker 3: You have a degree in it from Millinrquay.

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Speaker 4: Let me help your company be able to work with

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Speaker 4: track and trades that everyone needs to use anyways, right, right,

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Speaker 4: and make it work hand in hand.

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Speaker 5: And so I one thing that I heard over and

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Speaker 5: over and over was all these companies they would all

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Speaker 5: have to deal with these cannabis software venders, and they

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Speaker 5: would all come in and promise the world because they're

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Speaker 5: all these other companies are built with a silicon val mentality,

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Speaker 5: which is like let's raise a bunch of money, let's

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Speaker 5: go capture a huge piece of the market, and then

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Speaker 5: let's like grow explosively. And so you know, oh, cannabis

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Speaker 5: industry and new and just you know, it's you know,

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Speaker 5: it's new, it's exciting. Like let's go, let's cat right.

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Speaker 5: So and I did too, right, I made the same mistake,

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Speaker 5: and so we go, Okay, let's use this cookie cutter

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Speaker 5: software model. Let's throw out the canabis industry. How could

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Speaker 5: how could it not possibly work out. And so all

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Speaker 5: these companies that we talked to, I heard it over

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Speaker 5: and over and over. They would, you know, the vendors

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Speaker 5: would come in, the salesperson would promise the work, promised

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Speaker 5: the world to them, and then it would suck or

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Speaker 5: it wouldn't work, or they'd be like, you know, it

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Speaker 5: wouldn't you know X y Z these things gonna do it.

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Speaker 5: So we end up going down to someone else. So

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Speaker 5: I I so many companies, so many companies have gone

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Speaker 5: through this, and so I you know, and so I

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Speaker 5: think my mouth because right, it's just me working on it.

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Speaker 5: I'm you know, I'm I'm the sole creator. I'm the

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Speaker 5: sole maintainer. It's just me working working out my house. Yeah,

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Speaker 5: I'm the only guy. And so.

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Speaker 3: People are using it.

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Speaker 5: Certain seven hundred businesses are using it, and so but

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Speaker 5: I think what works is that Like I'm not promising

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Speaker 5: the world to them, right, I'm not building this like

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Speaker 5: monstrosity of a product that works for no one, and

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Speaker 5: it is so expensive, like I've cut off a small

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Speaker 5: corner that's very painful. Late metric is very painful for them.

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Speaker 5: In twenty States, the thing I.

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Speaker 2: Hear the most and I I deal with a lot

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Speaker 2: of operators is like it takes some months and months

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Speaker 2: and months just to learn how to use metrics. It's

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Speaker 2: it's it's almost it's I think it's a big portion

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Speaker 2: of why people have failed just off of that they

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Speaker 2: don't even know how to run the deal.

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Speaker 3: Well, let's break it down. Let's take a break real quick.

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Speaker 4: Matt, breakdown how metric really is used from the user standpoint,

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Speaker 4: and then how you incorporate it for your company to

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Speaker 4: help benefit these kind.

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Speaker 2: Of want to hear where you're from. It's Cannabis Talk

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Speaker 2: one on one movie right back after this break, Yes, yea.

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Speaker 1: Subscribe to our weekly newsletter on our website, Cannabis Talk

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Speaker 1: one on one dot com.

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Speaker 5: Welcome back to.

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Speaker 4: Carre your typical int something special folks when it comes

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Speaker 4: in use products, the flavor youtation just as enjoyable as

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Speaker 4: the doing your experiences randfoils dot com. We're sitting here

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Speaker 4: with demand the creator, the developer of track and trace tools,

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Speaker 4: Matt Frisbee. Matt, I before I went to break, I said,

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Speaker 4: break down metric for us so the listeners can really

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Speaker 4: understand what it means, because even I don't fully understand

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Speaker 4: exactly how these cannabis.

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Speaker 3: Companies use Metric in their force time.

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Speaker 2: Yeah, I know why. I mean, I get it.

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Speaker 4: It's track and trade so that they can see where

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Speaker 4: the money is being going, so that they can charge

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Speaker 4: them for taxes on everything for the government and the state.

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Speaker 4: But break it down in your terms on how and

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Speaker 4: why everybody.

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Speaker 2: Has to use it.

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Speaker 5: Yeah, so I most people have no idea that any

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Speaker 5: of this is going now. It's completely hidden from that. So, uh,

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Speaker 5: the state of California, you love to your dispensary and

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Speaker 5: buy any products and they joint whatever any products. It'll yeah,

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Speaker 5: it'll I'll say, if you look on a sticker, they'll

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Speaker 5: probably their test results on there and stuff like that,

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Speaker 5: and then you'll see a string of twenty four letters

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Speaker 5: and numbers. It'll say new idea or something like that.

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Speaker 5: So that is a Metric tag. So the way the

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Speaker 5: whole system works is that the state right as much before,

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Speaker 5: contracts with Metrics to say, okay, make sure all our

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Speaker 5: legal providers are staying legal. And then Metric has its

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Speaker 5: own way of doing things, and the way that they

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Speaker 5: do it is that everything has a tag. So every sore,

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Speaker 5: every plant that's grown has a little plastic tag attached

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Speaker 5: to it. Every package we'll talk about that. What that

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Speaker 5: means has as a tag attached to it. And in

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Speaker 5: Metric you can turn tags into other tags, harvest a

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Speaker 5: plant tag into you know, a pound of flour or whatever,

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Speaker 5: and then their system glues it all together. So that's

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Speaker 5: that's metric and a nutshell. And then the state can

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Speaker 5: go and look at all of a company's tags and say, okay,

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Speaker 5: well you say you've got this, and I visit your

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Speaker 5: facility and you say you've got this. These match. Great,

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Speaker 5: you're being compliant. And so this lets them, you know,

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Speaker 5: check if a company is doing what they say they're doing.

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Speaker 5: And this also lets them make sure that none of

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Speaker 5: the legally produced product is going into the black market

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Speaker 5: or vice.

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Speaker 2: Versa verification process right right, It's it's it's a chain

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Speaker 2: of custody exactly.

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Speaker 5: So yeah, it's it's a whole it's a whole chain.

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Speaker 2: Yea.

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Speaker 5: So it's it's pre boring. Actually, Metric is not. Metric

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Speaker 5: is not an interesting platform. It's it's not interesting. But

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Speaker 5: the the part where it gets interesting is because is

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Speaker 5: how much it hurts companies. And so I'll give you

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Speaker 5: a couple examples. So when Metric is, you know, giving

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Speaker 5: me a proposal to the state. The state does not

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Speaker 5: want to pay a lot of money for this right there.

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Speaker 5: You know, once this is passed, they don't they don't

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Speaker 5: want to spend a ton of money verifying compliance. You know,

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Speaker 5: they're they're going to right It's it's the lowest bidder usually,

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Speaker 5: And so Metric has to find a way to make

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Speaker 5: a business out of this because the contracts that they're

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Speaker 5: getting or not are not very big. I mean millions

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Speaker 5: of dollars, but like at a company scale, like that's

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Speaker 5: just not very much. So what I have realized as

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Speaker 5: I've worked with Metric is that Metric is not a

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Speaker 5: as not It is not a software company. They're not

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Speaker 5: a track and trace company. They're an RFID tag company.

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Speaker 5: So the way that Metric works is that all these

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Speaker 5: tags that appear in everything, they have a little RFID

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Speaker 5: tag in them. And just what that what that means

433
00:20:11,040 --> 00:20:13,200
Speaker 5: is that you can get a special device, scan it

434
00:20:13,280 --> 00:20:15,720
Speaker 5: and it'll give you back a number. So the idea

435
00:20:15,920 --> 00:20:18,520
Speaker 5: is that you can basically wave a wand over a room,

436
00:20:18,600 --> 00:20:20,760
Speaker 5: then it'll give you all the tags in that room.

437
00:20:20,880 --> 00:20:23,320
Speaker 5: That's the idea, or scan a bunch of boxes.

438
00:20:23,440 --> 00:20:25,000
Speaker 4: So you go to a room with a bunch of plants,

439
00:20:25,080 --> 00:20:28,479
Speaker 4: like you're seeing thee. Each plant has to have its

440
00:20:28,520 --> 00:20:30,320
Speaker 4: own tag, right, and then you're from that from it

441
00:20:30,520 --> 00:20:33,680
Speaker 4: grows to each bud, each bag that it creates, that

442
00:20:33,880 --> 00:20:35,600
Speaker 4: same number goes into those bags, right.

443
00:20:35,520 --> 00:20:38,000
Speaker 5: And so right and ultimately winding up in one number

444
00:20:38,040 --> 00:20:40,680
Speaker 5: that appears on the consumer product. And then if you

445
00:20:41,080 --> 00:20:44,400
Speaker 5: are so inclined, if you're a metric you could say, okay,

446
00:20:44,440 --> 00:20:45,960
Speaker 5: I can see this back to the plant, which is

447
00:20:46,000 --> 00:20:48,320
Speaker 5: good because then you know it lets you test product

448
00:20:48,400 --> 00:20:51,000
Speaker 5: and you know verify that you know taxes are being

449
00:20:51,040 --> 00:20:54,240
Speaker 5: paid and that consumers are consuming save products. It's you know,

450
00:20:54,320 --> 00:20:57,760
Speaker 5: the the fundamental concept is is very is important, but

451
00:20:57,880 --> 00:21:00,720
Speaker 5: the execution is the main problem. Because the way that

452
00:21:00,840 --> 00:21:03,760
Speaker 5: Metric makes its money is not by getting these state contracts.

453
00:21:03,800 --> 00:21:07,600
Speaker 5: It's by selling tags to the cannabis companies. They're an

454
00:21:07,680 --> 00:21:10,240
Speaker 5: RFID tag company. That's how they make their money. So

455
00:21:10,400 --> 00:21:13,679
Speaker 5: it's like it's like fifty cents a tag. It changes

456
00:21:13,880 --> 00:21:15,960
Speaker 5: by state, but that's it's twenty five to fifty cents

457
00:21:16,000 --> 00:21:19,960
Speaker 5: a tag, and millions of them, millions and millions of

458
00:21:20,000 --> 00:21:23,080
Speaker 5: tags are slapped everywhere and used all over the place.

459
00:21:23,560 --> 00:21:27,639
Speaker 5: So first, the first I think problem where that like

460
00:21:27,720 --> 00:21:29,080
Speaker 5: companies go, why am I doing this?

461
00:21:29,240 --> 00:21:29,359
Speaker 1: Is that?

462
00:21:29,880 --> 00:21:32,080
Speaker 5: Why are we tagging plants? What is what is the

463
00:21:32,119 --> 00:21:34,800
Speaker 5: purpose of this? Like this is not a package? Okay,

464
00:21:34,840 --> 00:21:36,440
Speaker 5: I could sort of see a scenario where like you

465
00:21:36,440 --> 00:21:38,720
Speaker 5: would want you know, if it's changing custody, you're sending

466
00:21:38,720 --> 00:21:40,280
Speaker 5: it to a distributor or whatever it is. But like,

467
00:21:40,520 --> 00:21:42,720
Speaker 5: why are we why are we tagging plants? It is

468
00:21:42,760 --> 00:21:45,560
Speaker 5: a it is a huge time stuck for companies. They're

469
00:21:45,560 --> 00:21:47,960
Speaker 5: spending days like zip ti and these like pieces of

470
00:21:47,960 --> 00:21:51,359
Speaker 5: plastic over them that I it's a plan, it's it's

471
00:21:51,400 --> 00:21:53,720
Speaker 5: sitting there like what are we doing here? So that's

472
00:21:53,800 --> 00:21:54,639
Speaker 5: that's the first problem.

473
00:21:55,080 --> 00:21:57,479
Speaker 2: The second you look down this right here, like you're

474
00:21:57,480 --> 00:21:58,359
Speaker 2: about to see it right.

475
00:21:58,240 --> 00:21:59,760
Speaker 5: Now, Are they gonna show a tag on there?

476
00:22:00,200 --> 00:22:01,800
Speaker 2: They just I just seen a ton of them, but

477
00:22:02,480 --> 00:22:03,320
Speaker 2: you'll definitely see it.

478
00:22:03,480 --> 00:22:04,000
Speaker 5: They're in there.

479
00:22:04,119 --> 00:22:06,119
Speaker 2: Yeah, they're in there, for sure. They'll hanging if you.

480
00:22:07,119 --> 00:22:08,880
Speaker 5: Should be blown, Yeah, I see one right there. Yeah,

481
00:22:08,960 --> 00:22:09,800
Speaker 5: so they're all hanging.

482
00:22:09,880 --> 00:22:12,440
Speaker 2: Fortunate, what we're looking at is one of our shows here,

483
00:22:12,600 --> 00:22:14,560
Speaker 2: you know, where we have a screenplan. But I mean,

484
00:22:14,600 --> 00:22:17,199
Speaker 2: they're little tags basically that just and and he's right.

485
00:22:17,400 --> 00:22:19,520
Speaker 2: You've got to physically go around him and put them

486
00:22:19,560 --> 00:22:23,000
Speaker 2: on each once like an anklet bracelet on each individual plant.

487
00:22:23,480 --> 00:22:27,240
Speaker 3: And we're some of these growhouses have thousands of plants

488
00:22:27,280 --> 00:22:27,679
Speaker 3: in their.

489
00:22:27,600 --> 00:22:32,280
Speaker 5: House, tens hundred unbelievable amounts, right, and so it's like

490
00:22:32,800 --> 00:22:36,320
Speaker 5: it's it's fundamentally it seems very it seems ridiculous because

491
00:22:36,320 --> 00:22:39,200
Speaker 5: it's like, Okay, I have twenty thousand plants in this

492
00:22:39,240 --> 00:22:42,520
Speaker 5: growhouse or whatever. It is like, there's the twenty thousand plants.

493
00:22:42,560 --> 00:22:44,040
Speaker 5: You can see them all right there. You can go

494
00:22:44,200 --> 00:22:47,040
Speaker 5: and count them like I don't. So the tagging is

495
00:22:47,280 --> 00:22:49,280
Speaker 5: definitely accessive for the plants. But that's actually not the

496
00:22:49,320 --> 00:22:53,399
Speaker 5: main problem. The main problem is the software wrapping around

497
00:22:53,680 --> 00:22:57,479
Speaker 5: this tagging system. And the reason is that bad software

498
00:22:57,480 --> 00:22:59,240
Speaker 5: exists everywhere. Right, we deal with that, we do with

499
00:22:59,359 --> 00:23:01,840
Speaker 5: crap software every day. Will we get our finder way

500
00:23:01,840 --> 00:23:05,200
Speaker 5: around it. The problem is that these companies the buck

501
00:23:05,320 --> 00:23:08,200
Speaker 5: stops with metric, meaning that if you if what you

502
00:23:08,400 --> 00:23:10,400
Speaker 5: have to be perfect in metric or the state will

503
00:23:10,480 --> 00:23:13,840
Speaker 5: kick your ass. And so these companies I and they

504
00:23:13,960 --> 00:23:16,320
Speaker 5: are they live in fear, right, I don't want to

505
00:23:16,320 --> 00:23:17,520
Speaker 5: be fine, I don't want to know. I want to

506
00:23:17,520 --> 00:23:19,640
Speaker 5: make sure I do this right. Their intentions are good,

507
00:23:20,040 --> 00:23:21,520
Speaker 5: but they you know, they don't want to run a

508
00:23:21,520 --> 00:23:24,560
Speaker 5: follow of metric and some of these processes are very complicated.

509
00:23:24,600 --> 00:23:27,680
Speaker 5: It's not it's not obvious at all. And I so

510
00:23:28,160 --> 00:23:31,720
Speaker 5: the second problem is that the metric platform is problematic.

511
00:23:31,760 --> 00:23:34,800
Speaker 5: Would be an understatement right there. Their core competency is

512
00:23:34,960 --> 00:23:38,760
Speaker 5: not building software. But every cannabis company and like twenty

513
00:23:38,840 --> 00:23:40,600
Speaker 5: States has to use this all the time. It is.

514
00:23:41,040 --> 00:23:43,280
Speaker 5: It sucks. So let me give you an example. So

515
00:23:43,680 --> 00:23:47,840
Speaker 5: one of the companies that I consult with, they they

516
00:23:47,920 --> 00:23:51,520
Speaker 5: called me up and they said, uh we so it's there.

517
00:23:51,680 --> 00:23:55,400
Speaker 5: You're enormous, They're an enormous processor. And so they said, look,

518
00:23:55,520 --> 00:23:59,000
Speaker 5: we have we have so much stuff in metric that

519
00:24:00,040 --> 00:24:02,280
Speaker 5: this site is literally broken for us. We can do nothing.

520
00:24:02,440 --> 00:24:05,080
Speaker 5: So we have like three hundred eploy we have three

521
00:24:05,160 --> 00:24:09,200
Speaker 5: hundred employees. We can't transfer anything anywhere, we can't make packages,

522
00:24:09,359 --> 00:24:12,720
Speaker 5: so our entire operation is completely stopped. Everyone's sitting around

523
00:24:12,720 --> 00:24:15,400
Speaker 5: thumbs up their asses because metric metric does not work

524
00:24:15,440 --> 00:24:17,520
Speaker 5: for us. And we're in contact with them. But they

525
00:24:17,600 --> 00:24:20,000
Speaker 5: said you know, it's going to be like a week.

526
00:24:20,080 --> 00:24:22,960
Speaker 5: It's gonna be a week to push a fix. A week.

527
00:24:23,400 --> 00:24:26,560
Speaker 5: A week that a company that process, it's like like

528
00:24:26,920 --> 00:24:29,280
Speaker 5: an hour is a problem, Like a week? What are

529
00:24:29,320 --> 00:24:31,760
Speaker 5: you talking about? And so they they called me up

530
00:24:31,760 --> 00:24:34,639
Speaker 5: and they said, listen, the only thing that can save

531
00:24:34,800 --> 00:24:37,480
Speaker 5: us is your product, like you, because you are sitting

532
00:24:37,560 --> 00:24:39,480
Speaker 5: directly on top of metrics. So I said, yeah, I

533
00:24:39,560 --> 00:24:40,920
Speaker 5: can do you know X y Z and you know,

534
00:24:41,400 --> 00:24:43,359
Speaker 5: make it work in this special way so that like

535
00:24:43,480 --> 00:24:46,240
Speaker 5: you can like squeeze and transfers through and get everything unstuck.

536
00:24:46,480 --> 00:24:50,760
Speaker 5: So and this is while this situation is unique to

537
00:24:50,800 --> 00:24:54,280
Speaker 5: that company. I they go down all the time all

538
00:24:54,320 --> 00:24:57,760
Speaker 5: the time, and companies are completely stuck like I. So

539
00:24:58,359 --> 00:25:01,159
Speaker 5: I remember when early on in the when we were

540
00:25:02,240 --> 00:25:04,719
Speaker 5: when when we were initially working on it, like, uh,

541
00:25:06,280 --> 00:25:10,760
Speaker 5: there was I there was a farmer that I was

542
00:25:10,800 --> 00:25:14,359
Speaker 5: helping him harvest, uh do harvest every day and so

543
00:25:14,760 --> 00:25:16,800
Speaker 5: he would I would wake up in the morning, like

544
00:25:16,960 --> 00:25:18,440
Speaker 5: four am in the morning because like they want it,

545
00:25:18,480 --> 00:25:19,879
Speaker 5: you know, you want to do the harvest early because

546
00:25:19,920 --> 00:25:25,040
Speaker 5: the plants respire overnight. And so he would call me.

547
00:25:25,359 --> 00:25:27,000
Speaker 5: I would wait wake up at like four point thirty,

548
00:25:27,000 --> 00:25:29,119
Speaker 5: he'd call me at five. I'd walk him through, like

549
00:25:29,200 --> 00:25:30,760
Speaker 5: how to do the harvest because it was still pretty

550
00:25:30,760 --> 00:25:32,879
Speaker 5: early in the process. And the reason he had to

551
00:25:32,920 --> 00:25:35,880
Speaker 5: do this is because nothing can leave the property without

552
00:25:35,920 --> 00:25:37,640
Speaker 5: like a printed piece of paper that has a metric

553
00:25:37,720 --> 00:25:41,000
Speaker 5: manifest so he can he has to submit everything in

554
00:25:41,160 --> 00:25:44,360
Speaker 5: this piece of garbage software print the piece of paper

555
00:25:44,440 --> 00:25:45,760
Speaker 5: that it gives it back, and then give it to

556
00:25:45,840 --> 00:25:47,960
Speaker 5: the driver that takes the plant away. And if none

557
00:25:47,960 --> 00:25:50,680
Speaker 5: of this happens, he is completely exposed to anything the

558
00:25:50,760 --> 00:25:52,399
Speaker 5: state does, and they would be well within their right

559
00:25:52,480 --> 00:25:54,200
Speaker 5: to do so because that's the rules that they set.

560
00:25:54,520 --> 00:25:57,800
Speaker 5: So everything stops with metric and so it is a

561
00:25:58,000 --> 00:26:00,840
Speaker 5: huge pain point for any states that is it. So

562
00:26:01,200 --> 00:26:03,879
Speaker 5: I guess and they have to, they have to and

563
00:26:04,320 --> 00:26:07,240
Speaker 5: so and I think that I think the metric is

564
00:26:07,880 --> 00:26:11,040
Speaker 5: kind of embodies kind of a larger problem with like

565
00:26:11,280 --> 00:26:15,520
Speaker 5: how the industry is interfacing with regulators because it is

566
00:26:16,400 --> 00:26:21,240
Speaker 5: it is a totally company hostile platform, totally company like

567
00:26:21,520 --> 00:26:23,480
Speaker 5: who would ever think that this is a good idea?

568
00:26:23,880 --> 00:26:27,159
Speaker 4: And you don't have to do that with lettuce, tomatoes, watermelons,

569
00:26:27,760 --> 00:26:29,760
Speaker 4: So I mean things that you're growing on the ground too,

570
00:26:30,119 --> 00:26:31,880
Speaker 4: so but they don't get you high.

571
00:26:33,160 --> 00:26:35,920
Speaker 5: Well maybe maybe you're not smoking them, right, Yeah, I

572
00:26:36,000 --> 00:26:37,040
Speaker 5: mean there is, but you.

573
00:26:37,160 --> 00:26:39,800
Speaker 2: Do with you know, with like you know, when you

574
00:26:39,840 --> 00:26:45,320
Speaker 2: start to medicine, and which I don't think white the

575
00:26:45,400 --> 00:26:49,360
Speaker 2: same they've but they've got a lot more strength, you know, stricter.

576
00:26:49,560 --> 00:26:51,239
Speaker 3: On guidelines of how you're moving them.

577
00:26:51,680 --> 00:26:53,960
Speaker 2: But they let them come out and smash our whole

578
00:26:53,960 --> 00:26:57,600
Speaker 2: country before they actually crack down. And but you know,

579
00:26:58,160 --> 00:26:59,879
Speaker 2: you know that, but that's a whole different you know,

580
00:27:00,040 --> 00:27:01,000
Speaker 2: conversation in itself.

581
00:27:01,400 --> 00:27:02,879
Speaker 4: Yeah, but it's just weird to think that they have

582
00:27:02,920 --> 00:27:05,680
Speaker 4: to do so much per plant, per move, per this

583
00:27:05,840 --> 00:27:08,840
Speaker 4: and that and your company, Now does it help eliminate

584
00:27:08,880 --> 00:27:10,160
Speaker 4: that where they don't have to print out a paper

585
00:27:10,200 --> 00:27:10,639
Speaker 4: for each thing?

586
00:27:10,680 --> 00:27:12,920
Speaker 5: Are so no matter there are certain so that the

587
00:27:13,000 --> 00:27:15,280
Speaker 5: paper is still a crime for the state. But like

588
00:27:15,520 --> 00:27:20,240
Speaker 5: getting to that point is like hours of like clicking

589
00:27:20,440 --> 00:27:23,360
Speaker 5: goes away, truly hours, so much of it goes away

590
00:27:23,400 --> 00:27:26,600
Speaker 5: because I think part of the core peel of it,

591
00:27:26,760 --> 00:27:30,280
Speaker 5: like there are large chunks of how people are spending

592
00:27:30,280 --> 00:27:30,840
Speaker 5: their time.

593
00:27:30,880 --> 00:27:35,359
Speaker 2: That can be completely just it's not automated. Rate suld

594
00:27:35,359 --> 00:27:37,280
Speaker 2: be automated. It is right you're automating it.

595
00:27:37,400 --> 00:27:39,320
Speaker 5: I'll give you another example. So one of the first

596
00:27:39,359 --> 00:27:41,000
Speaker 5: things that I ultimately built for this was it was

597
00:27:41,119 --> 00:27:46,760
Speaker 5: during the some fires in past years and so yeah,

598
00:27:46,760 --> 00:27:49,440
Speaker 5: and so there were there were farms that burned down, right, yeah,

599
00:27:49,560 --> 00:27:52,280
Speaker 5: and uh, you know, complete laws and crop and so

600
00:27:53,520 --> 00:27:55,920
Speaker 5: I was seeing because there's actually a bunch of cannabis

601
00:27:55,920 --> 00:27:57,920
Speaker 5: Facebook groups that I'm in because I you know, I

602
00:27:58,000 --> 00:28:00,520
Speaker 5: kind of follow like what the zeitgeist is, and I

603
00:28:00,800 --> 00:28:04,359
Speaker 5: saw that there were there were farmers their farm had

604
00:28:04,400 --> 00:28:07,040
Speaker 5: burned down, right, who knows if they had crop insurance

605
00:28:07,080 --> 00:28:11,160
Speaker 5: probably not. And now now in order to maintain their license,

606
00:28:11,200 --> 00:28:15,000
Speaker 5: they have to avoid every tag that they were going

607
00:28:15,040 --> 00:28:16,040
Speaker 5: to plant now and.

608
00:28:16,080 --> 00:28:18,520
Speaker 3: You can't even see the flags because the tag burned

609
00:28:18,560 --> 00:28:19,000
Speaker 3: down too.

610
00:28:19,200 --> 00:28:22,159
Speaker 5: Not. What's worse is that you have to do this

611
00:28:22,560 --> 00:28:24,240
Speaker 5: one at a time. So it's like click, click click,

612
00:28:24,320 --> 00:28:26,399
Speaker 5: that's one tag and they have thousands of them. So

613
00:28:26,480 --> 00:28:28,879
Speaker 5: they were like, yeah, I'm spending my entire evening my

614
00:28:29,000 --> 00:28:30,480
Speaker 5: farm burned down, and now I have to use this

615
00:28:30,560 --> 00:28:34,960
Speaker 5: piece of crap software to just adding insult to injury.

616
00:28:35,040 --> 00:28:38,440
Speaker 5: Just this. There's so many examples of this, and so

617
00:28:39,920 --> 00:28:42,040
Speaker 5: it now so now let's look at this from the

618
00:28:42,080 --> 00:28:45,440
Speaker 5: perspective of like, if you're a cultivator like you, I

619
00:28:45,880 --> 00:28:48,280
Speaker 5: probably have very limited access to loans. You have to

620
00:28:48,440 --> 00:28:50,840
Speaker 5: use this piece of garbage software. You have no access

621
00:28:50,960 --> 00:28:54,880
Speaker 5: to bank accounts. Bankruptcy is not available to you. The

622
00:28:55,200 --> 00:28:58,800
Speaker 5: list of stuff that is stacked against canabis, the candams

623
00:28:58,840 --> 00:29:01,560
Speaker 5: industry at large is making so much truth that it's

624
00:29:01,760 --> 00:29:05,960
Speaker 5: it's unbelievable. So here and I think it really I

625
00:29:06,000 --> 00:29:09,240
Speaker 5: think the larger point that is wrapped up in this

626
00:29:09,400 --> 00:29:13,720
Speaker 5: is like this is like cannabis is Cannabis is the

627
00:29:14,280 --> 00:29:17,480
Speaker 5: sixth the sixth largest cash crop in the United States.

628
00:29:17,840 --> 00:29:20,680
Speaker 5: Six It's like the same size as cotton. It's bigger

629
00:29:20,760 --> 00:29:21,880
Speaker 5: than rice and potatoes.

630
00:29:22,040 --> 00:29:22,240
Speaker 3: Wow.

631
00:29:22,440 --> 00:29:25,880
Speaker 5: So yeah, I mean the illegal market's wrapped up on that.

632
00:29:26,000 --> 00:29:29,800
Speaker 5: But like the huge it's a huge industry. Now, why

633
00:29:30,120 --> 00:29:33,520
Speaker 5: doesn't this industry have more political pull? I mean, yes,

634
00:29:33,800 --> 00:29:36,800
Speaker 5: it's being newly legalized, and you know, some of that

635
00:29:36,920 --> 00:29:40,120
Speaker 5: is very obvious, but like there is there are dollars here,

636
00:29:40,240 --> 00:29:43,400
Speaker 5: and right politicians work for dollars. So I think that

637
00:29:43,520 --> 00:29:46,440
Speaker 5: there is a very there's a gap that's going to

638
00:29:46,520 --> 00:29:49,000
Speaker 5: be bridged where people start to figure out that this

639
00:29:49,200 --> 00:29:52,320
Speaker 5: is a much larger, more powerful industry than it is

640
00:29:52,440 --> 00:29:56,360
Speaker 5: right now. Like, for example, like let's look at any

641
00:29:56,440 --> 00:29:57,880
Speaker 5: other non non cannabis when you.

642
00:29:57,920 --> 00:29:59,560
Speaker 2: Say the crop, when you say the cannabis crop, do

643
00:29:59,640 --> 00:30:02,560
Speaker 2: you mean you mean hamp in general and hemp cannabis

644
00:30:02,640 --> 00:30:07,120
Speaker 2: all of help combined are just cannabis are the extraction?

645
00:30:07,280 --> 00:30:12,680
Speaker 5: Yeah, yeah, just I use hemp excluding just really six learnedests.

646
00:30:12,720 --> 00:30:16,280
Speaker 5: And so look at how much the federal government helps

647
00:30:16,320 --> 00:30:20,360
Speaker 5: out all regular farmers, right we have. It's unbelievable, and

648
00:30:20,480 --> 00:30:23,760
Speaker 5: so like it's unbelievable. So like go back, look back

649
00:30:23,800 --> 00:30:26,760
Speaker 5: at the past one hundred years of like American agriculture,

650
00:30:26,840 --> 00:30:29,160
Speaker 5: going back to the New Deal in the thirties, right,

651
00:30:29,600 --> 00:30:33,160
Speaker 5: it has been an uninterrupted flow of the federal government

652
00:30:33,600 --> 00:30:40,720
Speaker 5: paying farmers to like subsidizing them, controlling their uh, controlling

653
00:30:40,760 --> 00:30:43,719
Speaker 5: their like how much they produce. It's been a very

654
00:30:43,840 --> 00:30:46,240
Speaker 5: tightly regulated but look at where it's gotten us. The

655
00:30:46,560 --> 00:30:49,240
Speaker 5: the the American agriculture is like the best in the world,

656
00:30:49,720 --> 00:30:52,640
Speaker 5: hugely productive and all the stuff that the federal government

657
00:30:52,680 --> 00:30:55,640
Speaker 5: has done. Why are why aren't the states replicating this?

658
00:30:56,000 --> 00:30:59,320
Speaker 5: That's that's the real question, right, Like, like like the

659
00:30:59,400 --> 00:31:01,960
Speaker 5: farm credit innistration there are entire sections of the federal

660
00:31:02,040 --> 00:31:04,920
Speaker 5: government devoted to making sure farmers have access to the

661
00:31:05,000 --> 00:31:07,040
Speaker 5: loans that they have. Why is there none of this

662
00:31:07,160 --> 00:31:07,800
Speaker 5: at the state.

663
00:31:08,080 --> 00:31:10,480
Speaker 2: You know, on the state level or on the Fed

664
00:31:10,640 --> 00:31:12,680
Speaker 2: because the Feds haven't done it right. So it's it's

665
00:31:13,120 --> 00:31:15,040
Speaker 2: and I think the Feds are waiting for the R

666
00:31:15,120 --> 00:31:18,080
Speaker 2: and D in my opinion, for the states, right, It's like,

667
00:31:18,440 --> 00:31:21,400
Speaker 2: you know, I this is just my opinion, right, I

668
00:31:21,440 --> 00:31:24,320
Speaker 2: think that the Feds are watching the state and saying, look,

669
00:31:24,880 --> 00:31:27,000
Speaker 2: spend all your money. Let all these guys blow all

670
00:31:27,040 --> 00:31:29,520
Speaker 2: their money, so we could come in there and fix

671
00:31:29,600 --> 00:31:34,240
Speaker 2: all take it. Grab the five all stars. Boom boom boom,

672
00:31:34,360 --> 00:31:36,320
Speaker 2: will take them into roll them into you know.

673
00:31:37,120 --> 00:31:39,440
Speaker 3: Legal everyone needs to buy from these guys now and

674
00:31:39,600 --> 00:31:39,920
Speaker 3: and and.

675
00:31:39,960 --> 00:31:42,560
Speaker 2: Then and and really scale it right because you know,

676
00:31:43,080 --> 00:31:45,560
Speaker 2: it's it's like it's like, go ahead, go fuck it

677
00:31:45,600 --> 00:31:47,480
Speaker 2: all up. You know, we'll watch you for a minute

678
00:31:47,920 --> 00:31:50,120
Speaker 2: and then and then they're smart, right, these guys are

679
00:31:50,160 --> 00:31:52,640
Speaker 2: you know, you have to think about like, you know,

680
00:31:52,760 --> 00:31:56,240
Speaker 2: we we we as unsophisticated as our country, as we're

681
00:31:56,240 --> 00:31:59,240
Speaker 2: still the most sophisticated country in the world, like you know,

682
00:31:59,760 --> 00:32:02,200
Speaker 2: and and as crazy as it sounds, is like we're

683
00:32:02,440 --> 00:32:04,680
Speaker 2: very for you know, we think we think forward, right,

684
00:32:04,760 --> 00:32:07,400
Speaker 2: so we don't come into things and just go well

685
00:32:07,720 --> 00:32:09,440
Speaker 2: and act. You know, like I said, always say it

686
00:32:09,440 --> 00:32:11,960
Speaker 2: and I'll say it again. Is you know, there's no

687
00:32:12,040 --> 00:32:14,080
Speaker 2: way the United States would say it was medicinal value

688
00:32:14,080 --> 00:32:16,560
Speaker 2: if it didn't have medicinal value. There's no way we

689
00:32:16,600 --> 00:32:18,920
Speaker 2: don't come out and say this has medicinal value and

690
00:32:19,040 --> 00:32:20,640
Speaker 2: it just doesn't have it, right, they.

691
00:32:20,640 --> 00:32:21,040
Speaker 3: Know it has.

692
00:32:21,240 --> 00:32:22,760
Speaker 2: This is why they've let the cat out the back

693
00:32:22,880 --> 00:32:27,240
Speaker 2: so far now that but there's a money there's so

694
00:32:27,360 --> 00:32:28,640
Speaker 2: there's a lot of R and D. And I think

695
00:32:28,680 --> 00:32:31,880
Speaker 2: this research and development is allowing these brands, these companies

696
00:32:31,920 --> 00:32:34,280
Speaker 2: that are actually starting to scale and get big and

697
00:32:34,320 --> 00:32:37,040
Speaker 2: then they bring the market down, right and they know

698
00:32:37,120 --> 00:32:39,320
Speaker 2: what's going to happen. And I don't think they did it.

699
00:32:39,440 --> 00:32:41,040
Speaker 2: I think the Feds brought it down. I think their

700
00:32:41,120 --> 00:32:43,400
Speaker 2: Listen market did. I think there's you know, people that

701
00:32:43,560 --> 00:32:45,680
Speaker 2: blew out the market and dropped the price so far

702
00:32:45,840 --> 00:32:49,640
Speaker 2: down that that these major operators that didn't hold tight

703
00:32:50,640 --> 00:32:53,400
Speaker 2: that's spent a little bit too aggressively in the beginning,

704
00:32:53,560 --> 00:32:56,880
Speaker 2: that had big balloon payments due to all their investors

705
00:32:57,560 --> 00:33:01,120
Speaker 2: right now, just took the the hit on the knees,

706
00:33:01,640 --> 00:33:03,480
Speaker 2: and there's gonna be very few and there's gonna be

707
00:33:03,520 --> 00:33:05,160
Speaker 2: a bunch of fire sales right now, and then those

708
00:33:05,240 --> 00:33:09,000
Speaker 2: fire cells are gonna get scooped up by another professional

709
00:33:09,040 --> 00:33:11,880
Speaker 2: group that has the money, that knows the back, that

710
00:33:11,960 --> 00:33:14,239
Speaker 2: knows the game, and then they're gonna roll it out.

711
00:33:14,240 --> 00:33:16,320
Speaker 2: And I think within the next three years will be federal.

712
00:33:16,480 --> 00:33:18,960
Speaker 2: I mean, you know, I've been I've been saying five

713
00:33:19,040 --> 00:33:22,160
Speaker 2: years for about three four years now, you know, And

714
00:33:22,400 --> 00:33:24,240
Speaker 2: and I and I think that in the next three

715
00:33:24,320 --> 00:33:26,120
Speaker 2: two to three years I think will be federally. So

716
00:33:26,440 --> 00:33:27,200
Speaker 2: what do you think.

717
00:33:27,880 --> 00:33:30,600
Speaker 5: It's a good question. So there's lots of unpacked there.

718
00:33:30,720 --> 00:33:34,600
Speaker 5: So I think the federal it doesn't seem like there's

719
00:33:34,600 --> 00:33:37,080
Speaker 5: a lot of political will at the federal level, which

720
00:33:37,120 --> 00:33:40,400
Speaker 5: I think is surprising given that there's It seems to

721
00:33:40,440 --> 00:33:43,760
Speaker 5: you know, all polling shows that people want this to

722
00:33:43,800 --> 00:33:44,800
Speaker 5: be legalized.

723
00:33:44,400 --> 00:33:45,600
Speaker 1: Like very.

724
00:33:47,080 --> 00:33:49,520
Speaker 4: Green boat won anything and had more votes than anybody else,

725
00:33:49,560 --> 00:33:50,360
Speaker 4: and red and blue.

726
00:33:50,240 --> 00:33:52,800
Speaker 5: Sure, and then you know, literally, I mean, and I

727
00:33:52,840 --> 00:33:54,880
Speaker 5: think you can throw out things like you know, Oklahoma

728
00:33:54,920 --> 00:33:57,480
Speaker 5: and Arkansas I think were the two that like legalized

729
00:33:57,520 --> 00:34:00,440
Speaker 5: medically but then adult used didn't pass, Like those are

730
00:34:00,480 --> 00:34:01,440
Speaker 5: those seemed to be outliers.

731
00:34:01,800 --> 00:34:04,920
Speaker 4: When Missouri passes that, you're going, wow, right next to Kansas,

732
00:34:05,000 --> 00:34:06,160
Speaker 4: You're getting Middle America.

733
00:34:06,800 --> 00:34:08,279
Speaker 3: Texas is coming around next.

734
00:34:08,360 --> 00:34:11,040
Speaker 5: It's like okay, yeah, yeah, So I think so. At

735
00:34:11,080 --> 00:34:14,920
Speaker 5: the federal level, I think so. The the schedule one

736
00:34:15,560 --> 00:34:17,239
Speaker 5: listing is a little bit stickier than I think people

737
00:34:17,280 --> 00:34:19,120
Speaker 5: realize because everyone goes, oh, why does the DA just

738
00:34:19,160 --> 00:34:22,160
Speaker 5: reclassify it? Well, the reason for that is that there

739
00:34:22,280 --> 00:34:24,359
Speaker 5: is a UN treaty that the US is a part

740
00:34:24,400 --> 00:34:28,279
Speaker 5: of that mandates that there is a very specific set

741
00:34:28,320 --> 00:34:30,680
Speaker 5: of events that need to happen for the DA to

742
00:34:30,760 --> 00:34:34,000
Speaker 5: reschedule it because and if the if the DA were

743
00:34:34,040 --> 00:34:36,360
Speaker 5: to say, uh, okay, we'll just make it like you know,

744
00:34:36,920 --> 00:34:39,040
Speaker 5: D schedule or whatever, that would be in violation of

745
00:34:39,080 --> 00:34:41,480
Speaker 5: the treaty. So there are international implications with that.

746
00:34:42,000 --> 00:34:45,440
Speaker 2: Additionally, the DA that are involved with the cannabis trade.

747
00:34:46,000 --> 00:34:49,040
Speaker 5: With with if to reschedule it. So there's the the

748
00:34:49,360 --> 00:34:52,480
Speaker 5: UN treaty says cannabis has to stay to stay in

749
00:34:52,480 --> 00:34:55,000
Speaker 5: complied with this trade, cannabis has to say Schedule one

750
00:34:55,080 --> 00:34:58,759
Speaker 5: or schedule two for how long forever for the linked

751
00:34:58,800 --> 00:35:01,000
Speaker 5: in the treaty or unless they that they need.

752
00:35:00,920 --> 00:35:03,520
Speaker 3: To treat is still going down. So that's why they

753
00:35:03,560 --> 00:35:04,040
Speaker 3: can't change it.

754
00:35:04,120 --> 00:35:05,400
Speaker 5: That's so that's part of it. The other part of

755
00:35:05,440 --> 00:35:07,880
Speaker 5: it is that the day. So the other part of that,

756
00:35:08,000 --> 00:35:10,920
Speaker 5: the DA actually does not have the power to reschedule

757
00:35:10,960 --> 00:35:15,560
Speaker 5: it unless HHS Health and Human Services says the DA

758
00:35:15,760 --> 00:35:20,560
Speaker 5: that it is basically that is qualified for to be rescheduled.

759
00:35:20,600 --> 00:35:22,360
Speaker 5: So the DA needs to hear from a different federal

760
00:35:22,400 --> 00:35:25,680
Speaker 5: department for it to be rescheduled. So with those two things,

761
00:35:25,760 --> 00:35:28,799
Speaker 5: I think there's it's it's a very sticky issue. That's

762
00:35:28,800 --> 00:35:30,160
Speaker 5: not to say that none of this can happen. And

763
00:35:30,239 --> 00:35:35,480
Speaker 5: of course the US disrespects international treaties. You know, we're

764
00:35:35,600 --> 00:35:37,279
Speaker 5: the main power in the world, so like we really

765
00:35:37,360 --> 00:35:39,520
Speaker 5: wanted to, Like, yeah, you could change a tree if

766
00:35:39,560 --> 00:35:41,440
Speaker 5: you want to, but like, is the political capital there,

767
00:35:41,520 --> 00:35:44,760
Speaker 5: I'm not so sure. So I think the other product

768
00:35:44,800 --> 00:35:46,640
Speaker 5: so you mentioned Missouri, and I think the Missouri example

769
00:35:46,680 --> 00:35:49,120
Speaker 5: is really interesting because like I'm from Chicago, and you know,

770
00:35:49,239 --> 00:35:52,440
Speaker 5: Illinois has a very large cannabis market, but Missouri, right,

771
00:35:52,840 --> 00:35:57,920
Speaker 5: they legalized recently, and there is the unsurprising effect of

772
00:35:58,120 --> 00:36:01,319
Speaker 5: it drawing away a ton of consumption in the state

773
00:36:01,360 --> 00:36:03,600
Speaker 5: of Illinois, like to the tune of like tens of

774
00:36:03,640 --> 00:36:05,960
Speaker 5: millions of dollars of revenue were lost the following year

775
00:36:06,040 --> 00:36:09,640
Speaker 5: because Missouri legalized. Because everyone's coming over the you know everyone, No,

776
00:36:09,840 --> 00:36:11,480
Speaker 5: you know, people from Missouri. You're not coming over the

777
00:36:11,520 --> 00:36:13,319
Speaker 5: border of Illinois anymore. They can do it in their

778
00:36:13,360 --> 00:36:17,880
Speaker 5: home state. So I think what states have consistently failed

779
00:36:17,920 --> 00:36:20,960
Speaker 5: to do, in California especially, is taken to account the

780
00:36:21,160 --> 00:36:25,400
Speaker 5: incredibly unstable nature of the cannabis industry. Like a lot

781
00:36:25,440 --> 00:36:28,160
Speaker 5: of this was like very predictable, right, It's like farming

782
00:36:28,360 --> 00:36:31,840
Speaker 5: is an unstable industry, and you're throwing them to the

783
00:36:31,920 --> 00:36:35,320
Speaker 5: wolves by like putting all this sprinkling, all this regulation,

784
00:36:35,440 --> 00:36:37,760
Speaker 5: all these problems on them, not giving them access to banking.

785
00:36:38,080 --> 00:36:40,040
Speaker 5: These of course these companies are gonna drown. Why is

786
00:36:40,040 --> 00:36:41,400
Speaker 5: anyone surprised that this is happening.

787
00:36:41,520 --> 00:36:43,880
Speaker 2: No, Yeah, there's no banking and there's no support. I mean,

788
00:36:43,960 --> 00:36:46,160
Speaker 2: you can't you can't get alone. I mean, I've got

789
00:36:46,200 --> 00:36:48,879
Speaker 2: people right now they're like, dude, I'm gonna lose my place.

790
00:36:48,960 --> 00:36:51,399
Speaker 4: The insurance element of it, of like you know these

791
00:36:51,480 --> 00:36:55,000
Speaker 4: Mendicino farms that burned down and they didn't have proper insurance,

792
00:36:55,120 --> 00:36:56,880
Speaker 4: like if you had an alcohol farm or this or

793
00:36:56,960 --> 00:36:57,359
Speaker 4: that farm.

794
00:36:57,560 --> 00:36:58,040
Speaker 2: You know what I mean.

795
00:36:58,320 --> 00:36:59,920
Speaker 4: You have these companies that you can get all the

796
00:37:00,080 --> 00:37:03,680
Speaker 4: proper elements to be a real legit company when tragedy happens.

797
00:37:03,800 --> 00:37:06,480
Speaker 5: Yeah, and so I think at that point it's the

798
00:37:06,560 --> 00:37:09,319
Speaker 5: really good question is like what are these companies paying

799
00:37:09,360 --> 00:37:09,840
Speaker 5: taxes for?

800
00:37:10,160 --> 00:37:10,279
Speaker 1: Right?

801
00:37:10,360 --> 00:37:12,640
Speaker 5: I think part of the employees assumption would be, we're

802
00:37:12,680 --> 00:37:15,640
Speaker 5: paying taxes once the state lets us do this, but

803
00:37:15,800 --> 00:37:21,520
Speaker 5: also that they're promoting like they're they're they're not hampering industry,

804
00:37:21,560 --> 00:37:23,800
Speaker 5: and that would be like either doing something about the

805
00:37:23,800 --> 00:37:27,000
Speaker 5: black market, which a mentally is very hard, or promoting

806
00:37:27,080 --> 00:37:28,799
Speaker 5: us so that the black market can be folded into

807
00:37:28,800 --> 00:37:30,799
Speaker 5: the legal market. And they're not doing either of these things.

808
00:37:30,960 --> 00:37:33,359
Speaker 5: So when when you look at the proposition and say, oh, okay,

809
00:37:33,440 --> 00:37:36,000
Speaker 5: become a legal cannabis company, pay all these taxes, deal

810
00:37:36,040 --> 00:37:39,480
Speaker 5: with all these regulations, deal with metric, have all these problems,

811
00:37:39,719 --> 00:37:42,920
Speaker 5: and then charge your customers more. From the customer's perspective,

812
00:37:43,120 --> 00:37:44,560
Speaker 5: of course, they're going to go to the black market

813
00:37:44,600 --> 00:37:48,800
Speaker 5: because like there's right enforcement has rightfully so gone to

814
00:37:48,840 --> 00:37:50,919
Speaker 5: basically zero, So people are not getting thrown in jail

815
00:37:51,040 --> 00:37:53,640
Speaker 5: for you know, buying legal in something anymore, which that's

816
00:37:53,640 --> 00:37:57,200
Speaker 5: a good thing. But this was a very predictable outcome that,

817
00:37:57,400 --> 00:37:59,520
Speaker 5: like all these there's gonna be all these hardships. So

818
00:37:59,719 --> 00:38:03,120
Speaker 5: if I say the states are at it stops with them.

819
00:38:03,239 --> 00:38:06,920
Speaker 5: They're not doing enough, They're right. So let me give

820
00:38:06,920 --> 00:38:10,560
Speaker 5: you an example. So the state of Illinois is rolling

821
00:38:10,560 --> 00:38:15,719
Speaker 5: out a nine million dollar loan program for social equity applicants. Right,

822
00:38:15,840 --> 00:38:19,880
Speaker 5: so everyone who call, all social equity applicants, who who

823
00:38:19,960 --> 00:38:24,160
Speaker 5: qualify for this program, they can actually get loans from well,

824
00:38:24,280 --> 00:38:27,400
Speaker 5: from financial institutions that are partnering with the State of Illinois. Now,

825
00:38:27,520 --> 00:38:29,279
Speaker 5: nine million dollars is not a lot of money. That's

826
00:38:29,320 --> 00:38:30,840
Speaker 5: not going to go very far, but it is a

827
00:38:30,920 --> 00:38:34,360
Speaker 5: proof of concept that there are absolutely loan programs that

828
00:38:34,440 --> 00:38:36,600
Speaker 5: the states could be putting together to help these companies

829
00:38:36,640 --> 00:38:39,840
Speaker 5: because ultimately the states stand to benefit. Right, if the

830
00:38:39,960 --> 00:38:43,560
Speaker 5: legal cannabis industry is doing well more tax dollars, right,

831
00:38:43,719 --> 00:38:46,360
Speaker 5: black market starts to dry up because all all the

832
00:38:46,440 --> 00:38:49,719
Speaker 5: incentives are completely aligned for for the like, if the

833
00:38:49,760 --> 00:38:53,920
Speaker 5: states would actually help but I perhaps perhaps there's some

834
00:38:54,040 --> 00:38:55,840
Speaker 5: angle that I haven't seen it, but it seems to

835
00:38:55,920 --> 00:38:57,480
Speaker 5: be crazy that like it's it seems to be a

836
00:38:57,600 --> 00:38:59,880
Speaker 5: very hands off. Like for like two, I think was

837
00:39:00,160 --> 00:39:02,960
Speaker 5: last year the state of California did away with the

838
00:39:03,000 --> 00:39:04,759
Speaker 5: cultivation text. So I think it was one hundred and

839
00:39:04,800 --> 00:39:07,799
Speaker 5: sixty one dollars per pound of just at harvest, right,

840
00:39:08,080 --> 00:39:10,200
Speaker 5: you cut that plant down pound weeks. A hundred and

841
00:39:10,200 --> 00:39:10,720
Speaker 5: sixty dollars.

842
00:39:10,640 --> 00:39:14,759
Speaker 3: Criminal unreal right now, And that was like the price

843
00:39:14,840 --> 00:39:15,600
Speaker 3: of a pound.

844
00:39:17,520 --> 00:39:20,600
Speaker 2: Near right, it was pound at one point last year.

845
00:39:20,640 --> 00:39:23,600
Speaker 5: I was like, yeah, so I write there from October

846
00:39:23,680 --> 00:39:27,080
Speaker 5: it is no kid there. They're bad. They were. It

847
00:39:27,239 --> 00:39:28,800
Speaker 5: was so bad. There were farmers I talked to you.

848
00:39:28,880 --> 00:39:31,040
Speaker 5: They're like we were just going to like throw it

849
00:39:31,040 --> 00:39:33,320
Speaker 5: away and just sell the land. Like there's there's I

850
00:39:33,680 --> 00:39:35,879
Speaker 5: it would it would cost me more to like put

851
00:39:35,920 --> 00:39:37,640
Speaker 5: this to market. No one's buying well.

852
00:39:37,520 --> 00:39:39,279
Speaker 2: And that's the thing. They're not moving fast enough to

853
00:39:39,280 --> 00:39:41,360
Speaker 2: make those changes either. So there's so much going on

854
00:39:41,440 --> 00:39:43,200
Speaker 2: this and this cannabis talk about when we read back

855
00:39:43,239 --> 00:39:44,840
Speaker 2: after this break, but I want to I want to

856
00:39:44,920 --> 00:39:48,719
Speaker 2: dig into, you know, some of the you know, solutions

857
00:39:48,920 --> 00:39:50,920
Speaker 2: to this right, because I know you're a solutioneer.

858
00:39:51,480 --> 00:39:53,360
Speaker 3: You're all those guys. If he's an IT guy that

859
00:39:53,480 --> 00:39:56,000
Speaker 3: fixes everything the world, you fix things.

860
00:39:56,000 --> 00:39:58,080
Speaker 2: So it's Cannabis Talk about were read back after this break?

861
00:39:58,320 --> 00:40:01,440
Speaker 1: Sure make sure you like it and subscribe to Cannabis

862
00:40:01,480 --> 00:40:02,200
Speaker 1: Talk one on one.

863
00:40:02,360 --> 00:40:10,120
Speaker 3: Now now back to the number one cannabis show on

864
00:40:10,200 --> 00:40:14,319
Speaker 3: the planet. You know what get Now back to the.

865
00:40:14,400 --> 00:40:18,719
Speaker 1: Number one cannabis showing the universe, Cannabis Talk one. Y'all

866
00:40:18,800 --> 00:40:19,520
Speaker 1: know what time it is?

867
00:40:19,640 --> 00:40:21,480
Speaker 2: Right, that's right?

868
00:40:21,560 --> 00:40:24,760
Speaker 4: Dime Tom think higher with Dime Industries. Find them in California, Arizona,

869
00:40:24,800 --> 00:40:27,319
Speaker 4: and Oklahoma. Check out their website Dime Industries dot com

870
00:40:27,400 --> 00:40:30,040
Speaker 4: on Instagram Dime dot Industries. I want to think the

871
00:40:30,080 --> 00:40:33,240
Speaker 4: whole crew around here that makes everything happen. Captains Porgee,

872
00:40:33,360 --> 00:40:37,440
Speaker 4: Marcus Mondo, Teddy the Show Dog, Isaiah Cassie, Daniel Diego,

873
00:40:37,600 --> 00:40:42,120
Speaker 4: Jessica cam Beach, Barcela Ally, Goldie Brother Pitt, Mark.

874
00:40:42,000 --> 00:40:45,560
Speaker 3: Carnes, Chris Francino, Jennifer Erica and Elvis. Thank you guys

875
00:40:45,600 --> 00:40:46,600
Speaker 3: all for doing what you do.

876
00:40:46,920 --> 00:40:51,160
Speaker 4: Yes, Matt, you got so many gripes that make all

877
00:40:51,400 --> 00:40:54,160
Speaker 4: the sense in the world, dude, because you're sitting there

878
00:40:54,280 --> 00:40:58,960
Speaker 4: dealing with a track and trace company that makes everybody

879
00:40:59,080 --> 00:41:02,000
Speaker 4: do it. And then you read something for the industry

880
00:41:02,200 --> 00:41:06,000
Speaker 4: called track and Trace dot tools that's free. Once again,

881
00:41:06,160 --> 00:41:09,320
Speaker 4: track and Trace dot tools is the website i g.

882
00:41:09,600 --> 00:41:12,360
Speaker 4: Track and Trace Tools and it helps the workflow of

883
00:41:12,440 --> 00:41:15,399
Speaker 4: the Metric organizations that everybody has to deal with state

884
00:41:15,480 --> 00:41:15,799
Speaker 4: to state.

885
00:41:16,320 --> 00:41:18,880
Speaker 3: Is this something everybody can use in all fifty states.

886
00:41:19,360 --> 00:41:22,840
Speaker 5: All Metric states? So yeah, it works everywhere. So I

887
00:41:24,200 --> 00:41:28,320
Speaker 5: going back into Metric for a second. So the everyone

888
00:41:28,400 --> 00:41:31,280
Speaker 5: that builds on top of Metric, right, all the software providers,

889
00:41:32,960 --> 00:41:35,200
Speaker 5: it's very painful for them too. So it's not like

890
00:41:35,440 --> 00:41:38,439
Speaker 5: all the all the earps, all the all the track

891
00:41:38,480 --> 00:41:42,040
Speaker 5: and trace systems everything it's they have. It's it's very

892
00:41:42,160 --> 00:41:44,480
Speaker 5: it's very very painful software to work with. And so

893
00:41:45,880 --> 00:41:50,680
Speaker 5: they're I mean so like like for example, when they

894
00:41:50,800 --> 00:41:53,279
Speaker 5: when Metric has downtime, like a lot of the times,

895
00:41:53,320 --> 00:41:55,040
Speaker 5: like the website will crash and so like a farmer

896
00:41:55,080 --> 00:41:57,640
Speaker 5: can't long on enriched to their harvest. But a lot

897
00:41:57,680 --> 00:41:59,839
Speaker 5: of time it's like like they have a whole ap

898
00:42:00,080 --> 00:42:02,439
Speaker 5: I that like all these like software companies are talking

899
00:42:02,480 --> 00:42:05,080
Speaker 5: to to like record stuff on behalf of you know,

900
00:42:05,200 --> 00:42:07,600
Speaker 5: the farmers or processors or whatever it is, and that

901
00:42:07,680 --> 00:42:09,759
Speaker 5: goes down all the time too, and.

902
00:42:09,880 --> 00:42:11,120
Speaker 3: So does your cycle.

903
00:42:11,160 --> 00:42:15,920
Speaker 5: Again, well, so we are the dragging tray. Stols is

904
00:42:16,000 --> 00:42:19,480
Speaker 5: inextrictly coupled with metrics. So it's if if Metric is up,

905
00:42:19,719 --> 00:42:22,879
Speaker 5: my product is up. But if it goes down, then

906
00:42:23,040 --> 00:42:24,320
Speaker 5: there there's not a lot we can do.

907
00:42:24,680 --> 00:42:25,520
Speaker 3: If down, it's down.

908
00:42:26,719 --> 00:42:28,280
Speaker 2: But it's just not it's not read.

909
00:42:30,480 --> 00:42:33,480
Speaker 5: And and so I think, which it sounds bad, but

910
00:42:33,600 --> 00:42:36,560
Speaker 5: if you consider I guess you could say competitors, like

911
00:42:36,680 --> 00:42:40,200
Speaker 5: everyone is trying to like sync out of Metric because

912
00:42:40,280 --> 00:42:43,360
Speaker 5: like Metric is like this single source of truth for

913
00:42:43,640 --> 00:42:45,560
Speaker 5: so like all the all the data that all these

914
00:42:45,600 --> 00:42:49,160
Speaker 5: companies are generating, it's all flowing into Metric, and uh,

915
00:42:50,239 --> 00:42:54,840
Speaker 5: it's it's it's so every so everyone's reporting to it,

916
00:42:54,880 --> 00:42:58,239
Speaker 5: everyone's talking to it. And so a lot of these

917
00:42:58,320 --> 00:43:00,040
Speaker 5: companies to like add a lot of like bells and

918
00:43:00,080 --> 00:43:02,239
Speaker 5: whistles on top, so which in some cases have worked

919
00:43:02,320 --> 00:43:05,680
Speaker 5: very well. You have to basically suck all the data

920
00:43:05,719 --> 00:43:08,000
Speaker 5: on Metric, do whatever you want with it, and then

921
00:43:08,160 --> 00:43:11,800
Speaker 5: like push it all back, which is incredibly complicated and

922
00:43:11,800 --> 00:43:13,719
Speaker 5: causes all sorts of problems because like now, if you're

923
00:43:13,760 --> 00:43:16,520
Speaker 5: out of sync with Metric, like Metric is the truth.

924
00:43:16,600 --> 00:43:18,560
Speaker 5: That's what the state sees when you know, when someone

925
00:43:18,680 --> 00:43:22,799
Speaker 5: from the you know, the California Party Agriculture shows up

926
00:43:22,840 --> 00:43:23,520
Speaker 5: like they're.

927
00:43:23,480 --> 00:43:24,600
Speaker 3: That's what you can get arrested for.

928
00:43:24,719 --> 00:43:28,840
Speaker 5: Bottom line, Yes, they have no problem dropping fines on

929
00:43:28,880 --> 00:43:31,200
Speaker 5: your head. They don't care. And if and if, like

930
00:43:31,200 --> 00:43:34,919
Speaker 5: if your software is broken, too bad, right, Oh I'm sorry,

931
00:43:34,960 --> 00:43:37,600
Speaker 5: I didn't you you didn't sink correctly. Well, yeah, that's

932
00:43:37,640 --> 00:43:39,719
Speaker 5: your that's your problem. Here's a here's a huge fine.

933
00:43:42,000 --> 00:43:45,759
Speaker 5: And uh, anyway, So I think one thing that I

934
00:43:46,120 --> 00:43:48,279
Speaker 5: think I'm leaning into more and more with what I'm

935
00:43:48,280 --> 00:43:51,920
Speaker 5: working on, is that everyone is generating all this information

936
00:43:52,000 --> 00:43:57,319
Speaker 5: in metric, and Metric is uh basically holding onto it. Right,

937
00:43:57,360 --> 00:43:59,160
Speaker 5: they really don't have access to it. It's a very

938
00:43:59,360 --> 00:44:03,359
Speaker 5: very limited people that you can see through. And that's

939
00:44:03,440 --> 00:44:06,080
Speaker 5: kind of by design, right, the state is has task

940
00:44:06,120 --> 00:44:07,759
Speaker 5: Metrics to stay collect this data and make sure that

941
00:44:07,800 --> 00:44:11,160
Speaker 5: everyone's being compliant, and uh, that's all you're there for.

942
00:44:11,480 --> 00:44:15,920
Speaker 5: So like Metric, for example, all these cannabis companies, all

943
00:44:15,960 --> 00:44:19,160
Speaker 5: the processors, they are not the customer, right, they're not

944
00:44:19,400 --> 00:44:21,920
Speaker 5: they're they're not the customer. The state is the customer Metric.

945
00:44:22,040 --> 00:44:24,879
Speaker 5: The state is who Metric ultimately answers to. So there,

946
00:44:25,040 --> 00:44:28,960
Speaker 5: if Metric has problems, there's no incentive for you know,

947
00:44:29,840 --> 00:44:32,560
Speaker 5: a very minimal incentive for them to go and fix it. Right. Oh,

948
00:44:32,640 --> 00:44:34,799
Speaker 5: the cannabis companies they're you know, oh, it's it's down,

949
00:44:34,920 --> 00:44:38,120
Speaker 5: it's broken, Like they don't care. There it's not there,

950
00:44:38,239 --> 00:44:39,440
Speaker 5: there's no they're kind.

951
00:44:39,600 --> 00:44:41,200
Speaker 3: Everybody has to use it, so doesn't matter.

952
00:44:41,120 --> 00:44:42,759
Speaker 5: You have to use it. Their contract is locked up

953
00:44:42,840 --> 00:44:46,399
Speaker 5: years in advance, like they're, oh, sorry, we'll we'll get

954
00:44:46,400 --> 00:44:48,880
Speaker 5: it fixed eventually. Like we're trying, we're trying. Yeah, we're

955
00:44:48,920 --> 00:44:51,160
Speaker 5: doing our best. And so I do I have a

956
00:44:51,200 --> 00:44:54,640
Speaker 5: relationship with Metric, like I I I work intermittently with them,

957
00:44:54,680 --> 00:44:58,040
Speaker 5: and so like, I don't actually think I think pointing

958
00:44:58,080 --> 00:45:00,360
Speaker 5: the finger at metric is is the wrong thing because

959
00:45:00,400 --> 00:45:05,120
Speaker 5: they have they're they're working with they're basically doing what

960
00:45:05,200 --> 00:45:06,120
Speaker 5: the state wants them to do.

961
00:45:06,440 --> 00:45:08,720
Speaker 2: They created a solution for the state.

962
00:45:09,239 --> 00:45:11,600
Speaker 5: Right right, So the states is yeah, like we want

963
00:45:11,640 --> 00:45:13,560
Speaker 5: we want this. Metric goes Okay, we'll build it for

964
00:45:13,600 --> 00:45:16,400
Speaker 5: you here so much it costs so Ultimately, they're implementing

965
00:45:16,480 --> 00:45:19,040
Speaker 5: systems that the states have given the thumbs up to.

966
00:45:19,280 --> 00:45:22,840
Speaker 4: So I I so the state needs to change what

967
00:45:22,960 --> 00:45:24,800
Speaker 4: they want and what they're looking for in order for

968
00:45:25,000 --> 00:45:26,200
Speaker 4: metric to change what they're.

969
00:45:26,040 --> 00:45:29,600
Speaker 5: Doing, Right, I think I think so. I think based

970
00:45:29,680 --> 00:45:33,000
Speaker 5: on the the environment of cannabis right now, I think

971
00:45:33,239 --> 00:45:36,320
Speaker 5: we're really entering a new era. Right, I think we

972
00:45:36,440 --> 00:45:39,319
Speaker 5: really need to reassess how everything works, because you can

973
00:45:39,360 --> 00:45:44,360
Speaker 5: see a very direct trend. States that have legalized the earliest,

974
00:45:44,600 --> 00:45:49,080
Speaker 5: right West coast states, they are all crashing together, right,

975
00:45:49,239 --> 00:45:51,719
Speaker 5: They're they're trajectories of like what is happening in the

976
00:45:51,800 --> 00:45:55,040
Speaker 5: States is following a very similar pattern, and it will

977
00:45:55,080 --> 00:46:01,160
Speaker 5: be not so all this stuff. I mean that's what

978
00:46:01,280 --> 00:46:04,880
Speaker 5: the Yeah, who I mean, who else can you can

979
00:46:04,920 --> 00:46:06,279
Speaker 5: you point them blame at? I write the.

980
00:46:06,239 --> 00:46:08,720
Speaker 2: States they're over they're over.

981
00:46:10,160 --> 00:46:13,680
Speaker 4: Metric ing, for lack of better words, making metrics do

982
00:46:13,800 --> 00:46:16,279
Speaker 4: too much time consuming because it costs you to be

983
00:46:16,320 --> 00:46:18,640
Speaker 4: a process to charge to everybody.

984
00:46:19,360 --> 00:46:22,200
Speaker 2: I mean, you got to pay all the market here, right,

985
00:46:22,280 --> 00:46:23,799
Speaker 2: I mean I feel like, right.

986
00:46:23,800 --> 00:46:26,360
Speaker 5: So the States has set up all these systems that

987
00:46:26,440 --> 00:46:29,239
Speaker 5: you have you have to play by. But I think

988
00:46:29,280 --> 00:46:32,040
Speaker 5: it would be it would be foolish. It would be

989
00:46:32,120 --> 00:46:35,080
Speaker 5: foolish to expect them to get it right the first time. Right,

990
00:46:35,160 --> 00:46:37,560
Speaker 5: that's not that that was never gonna happen, Right, they

991
00:46:37,600 --> 00:46:39,840
Speaker 5: were going to be eros in legislation, Like that's something.

992
00:46:40,160 --> 00:46:43,759
Speaker 5: The mistake is that not adjusting once once they see

993
00:46:43,800 --> 00:46:47,200
Speaker 5: the car craft like in California, the car has the

994
00:46:47,280 --> 00:46:49,680
Speaker 5: car is already washed away at the bottom of the cliff,

995
00:46:49,760 --> 00:46:52,040
Speaker 5: like we're not even falling off the cliff anymore. And

996
00:46:52,320 --> 00:46:56,560
Speaker 5: the amounts that has not been done is staggering, like

997
00:46:56,640 --> 00:46:59,080
Speaker 5: they're they're seeing these industry could collapse in real time

998
00:46:59,160 --> 00:47:01,480
Speaker 5: and collecting their tax dollars like oh yeah, keep it

999
00:47:01,520 --> 00:47:03,840
Speaker 5: coming like whatever. And it's like what Califrin was like

1000
00:47:03,880 --> 00:47:05,759
Speaker 5: it was like a billion dollars in taxes last year. Like,

1001
00:47:06,120 --> 00:47:09,239
Speaker 5: you can't tell you California is the I think it's

1002
00:47:09,280 --> 00:47:11,360
Speaker 5: the fifth largest economy in the world, Like if you

1003
00:47:11,560 --> 00:47:16,480
Speaker 5: Californa was his own country, fifth number five. Don't don't

1004
00:47:16,560 --> 00:47:19,360
Speaker 5: tell me that you can't you can't self correct in

1005
00:47:19,400 --> 00:47:21,880
Speaker 5: the campus industry, that there's no legislation that could be passed,

1006
00:47:21,880 --> 00:47:24,400
Speaker 5: that you can't ease upon regulations. Don't tell me that

1007
00:47:24,440 --> 00:47:25,680
Speaker 5: there's fault.

1008
00:47:26,560 --> 00:47:29,839
Speaker 3: I mean, he could play ahead of your hand, right.

1009
00:47:31,239 --> 00:47:34,600
Speaker 5: I mean, I he's certainly partially to blame. Right, There's

1010
00:47:34,600 --> 00:47:37,400
Speaker 5: there's lots of blame to spread around, and I that

1011
00:47:37,640 --> 00:47:42,360
Speaker 5: nothing is being letting these companies drown is wrong, and

1012
00:47:42,640 --> 00:47:47,319
Speaker 5: they're drowning and everyone's just kind of you your head's

1013
00:47:47,360 --> 00:47:49,279
Speaker 5: underwater and no one's doing anything about it. That sucks.

1014
00:47:49,320 --> 00:47:51,480
Speaker 2: I don't think what like you know, Newsoms and or

1015
00:47:51,800 --> 00:47:54,560
Speaker 2: you know, these people were actually understanding is that it's

1016
00:47:54,640 --> 00:47:57,480
Speaker 2: much bigger than than the cannabis industry because a lot

1017
00:47:57,480 --> 00:48:00,719
Speaker 2: of these people have doubled down on their other investments

1018
00:48:00,840 --> 00:48:04,920
Speaker 2: and moved it from other investments to sustain another industry

1019
00:48:05,000 --> 00:48:08,239
Speaker 2: that the state has allowed. And so that's also going

1020
00:48:08,320 --> 00:48:11,520
Speaker 2: to collapse, not only that cannabis, but whatever other industry

1021
00:48:11,560 --> 00:48:13,760
Speaker 2: that they may be a part of, because that funding

1022
00:48:14,320 --> 00:48:17,400
Speaker 2: that they deployed from wherever it was at is now

1023
00:48:17,480 --> 00:48:20,759
Speaker 2: there and it's it could be catastrophic.

1024
00:48:20,880 --> 00:48:23,120
Speaker 5: I mean, I think you've hit on something important, which

1025
00:48:23,160 --> 00:48:26,320
Speaker 5: is that I think the stance they've taken is that

1026
00:48:26,560 --> 00:48:29,839
Speaker 5: I think they're comfortable with where we are for whatever reason,

1027
00:48:30,400 --> 00:48:33,200
Speaker 5: and that the business model that seems to be working

1028
00:48:33,280 --> 00:48:35,600
Speaker 5: is an economy of scale. So the largest producers, like

1029
00:48:35,880 --> 00:48:39,960
Speaker 5: they're able to at scale reduce costs to a level

1030
00:48:40,080 --> 00:48:43,799
Speaker 5: that is compatible with consumer appetites right now. Right they

1031
00:48:43,840 --> 00:48:46,640
Speaker 5: have larger you know, war chests, so they can you

1032
00:48:47,239 --> 00:48:50,319
Speaker 5: handle destabilizing events like a state legalized next to them

1033
00:48:50,440 --> 00:48:52,840
Speaker 5: or some legislation changing, and they're ultimately going to be

1034
00:48:53,040 --> 00:48:55,840
Speaker 5: like the major winners. And so it seems that like

1035
00:48:55,960 --> 00:48:58,040
Speaker 5: a lot of these states have kind of directly or

1036
00:48:58,080 --> 00:49:01,400
Speaker 5: indirectly played king maker that I you know, and the

1037
00:49:01,480 --> 00:49:04,560
Speaker 5: smaller farmers like they're they're getting bought out, they're you know,

1038
00:49:04,880 --> 00:49:07,480
Speaker 5: selling their licenses, selling the land, like they're going they're

1039
00:49:07,520 --> 00:49:10,520
Speaker 5: they're going away, they're struggling, and that is that's problematic

1040
00:49:10,600 --> 00:49:13,880
Speaker 5: because that fundament does not match. Like American agriculture is

1041
00:49:15,360 --> 00:49:18,440
Speaker 5: mostly family farms. Now they do come out into collectives

1042
00:49:18,480 --> 00:49:20,360
Speaker 5: and like they're you know, there are larger organizations on

1043
00:49:20,440 --> 00:49:23,160
Speaker 5: top of that, but like it's just like it's it.

1044
00:49:24,280 --> 00:49:27,800
Speaker 5: They're they're focusing on the big guys and fundamentally that

1045
00:49:28,040 --> 00:49:29,800
Speaker 5: I think anyone can see that that is wrong. And

1046
00:49:29,840 --> 00:49:32,800
Speaker 5: the policies that they're implementing, the taxes, everything else is

1047
00:49:32,920 --> 00:49:35,440
Speaker 5: only is only promoting that fact, because well, all the

1048
00:49:35,440 --> 00:49:37,680
Speaker 5: little guys are drowning at the bottom, the big guys

1049
00:49:37,719 --> 00:49:39,920
Speaker 5: are at least hanging on long enough to make it

1050
00:49:40,000 --> 00:49:43,680
Speaker 5: to when banking reform passes and federal legalization passes. Right,

1051
00:49:43,719 --> 00:49:46,239
Speaker 5: they're kind of just like treading water waiting for that

1052
00:49:46,360 --> 00:49:48,359
Speaker 5: to happen, letting everyone else drown beneath them.

1053
00:49:48,520 --> 00:49:50,759
Speaker 4: Matt Frisbee, is there a pitch that you can give

1054
00:49:50,840 --> 00:49:53,120
Speaker 4: our listeners that you would stand by? Let's say this

1055
00:49:53,320 --> 00:49:56,200
Speaker 4: is a maybe not a quick pitch, but yeah, is

1056
00:49:56,280 --> 00:49:58,680
Speaker 4: there a solution that you're seeing as you're working with

1057
00:49:58,840 --> 00:50:01,359
Speaker 4: Track and Trace show hand in hand in all these

1058
00:50:01,400 --> 00:50:04,160
Speaker 4: states that it's mandatory. What do you see as being

1059
00:50:04,280 --> 00:50:07,239
Speaker 4: some quick fixes to like let's do this, let's do

1060
00:50:07,400 --> 00:50:08,200
Speaker 4: that start here.

1061
00:50:08,880 --> 00:50:11,759
Speaker 5: Yeah, so if they just did this, I a lot

1062
00:50:11,800 --> 00:50:15,480
Speaker 5: of it is like I, I mean, the compliance is overbearing, right,

1063
00:50:15,480 --> 00:50:18,880
Speaker 5: I think anyone can see that. And why you know,

1064
00:50:19,760 --> 00:50:21,640
Speaker 5: we can do less, We can get away with less,

1065
00:50:21,840 --> 00:50:25,560
Speaker 5: right I. Preventing fraud, preventing interacting with the black market,

1066
00:50:25,680 --> 00:50:28,920
Speaker 5: like this wholesale data collection, It doesn't it doesn't have

1067
00:50:29,000 --> 00:50:31,760
Speaker 5: to be this complicated, right, Like the state of Washington,

1068
00:50:31,840 --> 00:50:34,560
Speaker 5: for example, like they have their home role. They have

1069
00:50:34,600 --> 00:50:38,239
Speaker 5: a home rolled compliance platform, like they don't contract with

1070
00:50:38,320 --> 00:50:40,399
Speaker 5: Metric or anyone, Like it's just like a state. I don't,

1071
00:50:40,640 --> 00:50:42,319
Speaker 5: I don't I know the details, but I think it's

1072
00:50:42,320 --> 00:50:45,239
Speaker 5: something as simple as you upload csvs to a government website. Right,

1073
00:50:45,280 --> 00:50:49,480
Speaker 5: it's really low touch. I you know, we can do less,

1074
00:50:49,600 --> 00:50:51,320
Speaker 5: like we don't. We don't have to punish farmers to

1075
00:50:51,360 --> 00:50:54,960
Speaker 5: make sure they're staying compliance, and like largely like they're all,

1076
00:50:55,000 --> 00:50:57,200
Speaker 5: they're all they want to stay compliant. They want to

1077
00:50:57,239 --> 00:50:59,319
Speaker 5: they want to follow the law, and because it's it's

1078
00:50:59,400 --> 00:51:01,399
Speaker 5: it's ultimately better for them or it should at least

1079
00:51:01,440 --> 00:51:04,200
Speaker 5: be better. So I think I think we can have

1080
00:51:04,280 --> 00:51:06,800
Speaker 5: the same level of efficacy with compliance with like just

1081
00:51:06,920 --> 00:51:09,600
Speaker 5: less overhead, a lot less overhead. Now that's hard to

1082
00:51:09,680 --> 00:51:12,960
Speaker 5: do because you know, Metric wants to stay in business, right,

1083
00:51:13,000 --> 00:51:16,480
Speaker 5: They're they're doing quite well, So that's gonna be in conflict.

1084
00:51:16,560 --> 00:51:18,240
Speaker 5: But like you know, the states have kind of engineered

1085
00:51:18,280 --> 00:51:21,040
Speaker 5: this conflict. I think the other part of it is,

1086
00:51:21,160 --> 00:51:25,720
Speaker 5: like I really do think that like states can states

1087
00:51:25,800 --> 00:51:28,359
Speaker 5: need to look at where things are right now, we're

1088
00:51:28,400 --> 00:51:30,200
Speaker 5: going to be here for a while, right, the cannabis

1089
00:51:30,200 --> 00:51:32,040
Speaker 5: industry is gonna be struggling for a while where I

1090
00:51:32,160 --> 00:51:34,759
Speaker 5: do not expect to see federal legislation or even the

1091
00:51:34,840 --> 00:51:37,920
Speaker 5: safe banking passed anytime soon. So we're stuck here. This

1092
00:51:38,080 --> 00:51:40,360
Speaker 5: is this is the new reality, and so for states

1093
00:51:40,400 --> 00:51:43,440
Speaker 5: to go and do nothing is not acceptable. So I

1094
00:51:43,520 --> 00:51:46,719
Speaker 5: think part of that starts with, like, let's really think about,

1095
00:51:46,840 --> 00:51:49,840
Speaker 5: like how can we offer at least some semplons of

1096
00:51:50,600 --> 00:51:52,840
Speaker 5: loans to farmers, like something that's not where they're not

1097
00:51:53,000 --> 00:51:56,560
Speaker 5: like I mean even yeah, just open open up a

1098
00:51:56,560 --> 00:51:57,520
Speaker 5: little bit, right, Like it's.

1099
00:51:57,440 --> 00:51:58,800
Speaker 3: Hard to give them a loan when you have no

1100
00:51:58,880 --> 00:52:00,759
Speaker 3: bank to put it in and no real company that

1101
00:52:00,880 --> 00:52:02,440
Speaker 3: shows what it is, like how do I give you

1102
00:52:02,520 --> 00:52:02,759
Speaker 3: a loan?

1103
00:52:02,840 --> 00:52:05,080
Speaker 5: And so I think that's another that's you made a

1104
00:52:05,120 --> 00:52:08,040
Speaker 5: great point because like it's this is a self perpetuating process,

1105
00:52:08,160 --> 00:52:12,080
Speaker 5: right like loans, I mean, Okay, so excluding like large

1106
00:52:12,160 --> 00:52:14,960
Speaker 5: like large federal banks, let's talk like local state banks

1107
00:52:15,000 --> 00:52:18,160
Speaker 5: that are not subject to FDICE and can give loans

1108
00:52:18,200 --> 00:52:21,040
Speaker 5: to a certain extent to cannabis companies. They are right,

1109
00:52:21,360 --> 00:52:23,719
Speaker 5: any bank is operating on risk. So they go, okay,

1110
00:52:23,800 --> 00:52:25,440
Speaker 5: how risky is this loan? Am I going to give

1111
00:52:25,440 --> 00:52:27,560
Speaker 5: you my money? Who the hell would give money to

1112
00:52:27,640 --> 00:52:30,080
Speaker 5: a cannabis company right now? Now? The answer to that

1113
00:52:30,200 --> 00:52:35,480
Speaker 5: question is you shouldn't. But but so, but why aren't you?

1114
00:52:35,640 --> 00:52:38,120
Speaker 5: Why why your canvas company is so unstable because of

1115
00:52:38,239 --> 00:52:40,319
Speaker 5: all the stuff that's the States have put in place, right,

1116
00:52:40,440 --> 00:52:42,360
Speaker 5: so this is them making a mess and saying you

1117
00:52:42,520 --> 00:52:46,200
Speaker 5: clean it up. It's it's insane. So I I think

1118
00:52:46,200 --> 00:52:50,480
Speaker 5: the solution overall is that this entire system can self correct,

1119
00:52:50,640 --> 00:52:54,160
Speaker 5: right everything. If you start making healthy cannabis companies by

1120
00:52:54,200 --> 00:52:56,760
Speaker 5: giving them access to some things to help preserve their businesses,

1121
00:52:57,160 --> 00:53:00,800
Speaker 5: reducing their burden, the cannabis industry will start to heal

1122
00:53:01,080 --> 00:53:04,520
Speaker 5: like the car industry, you know, eight precisely, precisely, the

1123
00:53:04,560 --> 00:53:07,759
Speaker 5: canabis industry will start to heal. The black market will

1124
00:53:07,880 --> 00:53:10,320
Speaker 5: in turn start to dry up because of course like that,

1125
00:53:10,760 --> 00:53:14,040
Speaker 5: as as cannabis company costs go down, that's gonna make

1126
00:53:14,040 --> 00:53:17,239
Speaker 5: the black market less appealing. So then costs to you know,

1127
00:53:17,400 --> 00:53:19,439
Speaker 5: to prevent the black market came down and the whole

1128
00:53:19,520 --> 00:53:23,840
Speaker 5: system can heal itself. But starting with a completely broken

1129
00:53:23,920 --> 00:53:27,279
Speaker 5: system where it's you're punishing everyone to start a supply chain,

1130
00:53:27,440 --> 00:53:30,080
Speaker 5: especially cultivators, there's no way this is going to fix

1131
00:53:30,120 --> 00:53:33,360
Speaker 5: itself and nothing, nothing is going to change federally for

1132
00:53:33,800 --> 00:53:36,080
Speaker 5: a while, and so the pain is going to continue.

1133
00:53:36,400 --> 00:53:38,720
Speaker 5: And so I think the buck ultimately stops with the States.

1134
00:53:39,200 --> 00:53:42,759
Speaker 5: I they it's up to them to make reforms to

1135
00:53:43,080 --> 00:53:45,640
Speaker 5: start helping these companies even just a little bit, start

1136
00:53:45,680 --> 00:53:46,319
Speaker 5: with just a little bit.

1137
00:53:46,440 --> 00:53:47,800
Speaker 4: I love your passion, man, I want to do the

1138
00:53:47,880 --> 00:53:49,400
Speaker 4: high five with you before we get you out of

1139
00:53:49,440 --> 00:53:52,240
Speaker 4: here and thank you for all your knowledge, your insights,

1140
00:53:52,880 --> 00:53:55,160
Speaker 4: your passion for the industry. I'm sure people are listening

1141
00:53:55,239 --> 00:53:57,200
Speaker 4: and you have a company and you want a guy

1142
00:53:57,320 --> 00:53:59,520
Speaker 4: like this working for your company and helping you out.

1143
00:53:59,719 --> 00:54:01,759
Speaker 4: So you hear, you hear where you hear where he

1144
00:54:01,840 --> 00:54:04,040
Speaker 4: comes from. I mean, he's sitting here trying to help

1145
00:54:04,080 --> 00:54:06,800
Speaker 4: you out in every way possible. I'm giving him the

1146
00:54:06,840 --> 00:54:08,759
Speaker 4: stamp of approval of like, dude, this is the type

1147
00:54:08,800 --> 00:54:11,080
Speaker 4: of guy you want to look at your scenario and

1148
00:54:11,160 --> 00:54:12,719
Speaker 4: be like, how could I help mainstream this?

1149
00:54:12,840 --> 00:54:15,120
Speaker 3: Because I love your passion everything.

1150
00:54:15,800 --> 00:54:17,680
Speaker 2: I have questions for him after the show, right, Hey,

1151
00:54:17,760 --> 00:54:18,799
Speaker 2: I I told him.

1152
00:54:18,719 --> 00:54:20,520
Speaker 4: This before the jug Oh you're gonna this guy, Matt's

1153
00:54:20,520 --> 00:54:22,680
Speaker 4: gonna get you just from reading your bios and stuff.

1154
00:54:22,719 --> 00:54:22,959
Speaker 2: Matt.

1155
00:54:23,200 --> 00:54:25,040
Speaker 4: So let's hear the high five with the creator the

1156
00:54:25,120 --> 00:54:27,120
Speaker 4: track and trace tools. How old are you the first time,

1157
00:54:27,200 --> 00:54:29,279
Speaker 4: Matt you smoked cannabis and where'd you get it from?

1158
00:54:29,880 --> 00:54:30,080
Speaker 1: Yeah?

1159
00:54:30,080 --> 00:54:32,440
Speaker 5: I think it was freshman year of college, so I

1160
00:54:32,520 --> 00:54:34,239
Speaker 5: was probably I was just.

1161
00:54:34,280 --> 00:54:36,680
Speaker 3: About to turn eighteen and go Illinois.

1162
00:54:36,960 --> 00:54:40,759
Speaker 5: Yeah, Universe of Annoy Illinois. Yeah, I was. Uh, I

1163
00:54:40,800 --> 00:54:42,200
Speaker 5: don't even remember who I got it from, but it

1164
00:54:42,320 --> 00:54:46,200
Speaker 5: was like tell you know, you're in college or try

1165
00:54:46,239 --> 00:54:47,120
Speaker 5: anything right whoever?

1166
00:54:47,320 --> 00:54:47,640
Speaker 3: Whatever?

1167
00:54:48,760 --> 00:54:51,239
Speaker 2: So so yeah, question number two of the high five,

1168
00:54:51,360 --> 00:54:53,800
Speaker 2: what was your favorite way to use or smoke cannabis?

1169
00:54:54,000 --> 00:54:55,480
Speaker 5: So you guys have a lot of people in the

1170
00:54:55,480 --> 00:54:57,440
Speaker 5: show that are like picking the blends and joints and

1171
00:54:57,440 --> 00:54:59,239
Speaker 5: things like that, and those are you know, in younger years,

1172
00:54:59,280 --> 00:55:00,799
Speaker 5: like there'll be more pilling, you know what. I'm an

1173
00:55:00,920 --> 00:55:03,759
Speaker 5: edible guy. I'm everyone I'm gonna zag. Everyone hears ziggs,

1174
00:55:03,800 --> 00:55:07,440
Speaker 5: I'm zag you know what. I it's I I'm not

1175
00:55:07,600 --> 00:55:10,319
Speaker 5: I'm not a young man anymore, and it's I can't.

1176
00:55:10,400 --> 00:55:12,040
Speaker 5: I can't do things the way I used to. So yeah,

1177
00:55:12,120 --> 00:55:13,680
Speaker 5: like give me a give me a good edible I

1178
00:55:13,840 --> 00:55:14,839
Speaker 5: It's yeah nice?

1179
00:55:14,880 --> 00:55:16,600
Speaker 3: What is there a favorite was it a little gummy

1180
00:55:16,719 --> 00:55:18,760
Speaker 3: five milligram or is it like something bigger?

1181
00:55:18,800 --> 00:55:21,000
Speaker 5: No prefer you know what. I I used to really

1182
00:55:21,080 --> 00:55:23,239
Speaker 5: enjoy the pro tabs out here in California. That I

1183
00:55:23,320 --> 00:55:25,279
Speaker 5: was a big fan of those no free ads. But

1184
00:55:25,440 --> 00:55:26,480
Speaker 5: pro tabs are quite good.

1185
00:55:26,680 --> 00:55:28,200
Speaker 3: It's always good. You already have your favorites.

1186
00:55:28,280 --> 00:55:31,239
Speaker 4: Question number three of the High five Matt Frisbee, craziest

1187
00:55:31,239 --> 00:55:33,040
Speaker 4: place you ever used or smoked cannabis?

1188
00:55:33,160 --> 00:55:33,320
Speaker 1: You know?

1189
00:55:33,440 --> 00:55:37,040
Speaker 5: So this one? So this one was actually unintentional. So

1190
00:55:37,800 --> 00:55:40,640
Speaker 5: I was hanging out with some friends and uh, I

1191
00:55:40,719 --> 00:55:43,720
Speaker 5: must have been back for spring break. Uh during college

1192
00:55:43,880 --> 00:55:47,719
Speaker 5: and someone someone gave me an edible, and uh, I

1193
00:55:47,960 --> 00:55:50,439
Speaker 5: ate it and it didn't take effect. I was like, Okay,

1194
00:55:50,480 --> 00:55:53,040
Speaker 5: I'll just I'll just go to bed. And then the

1195
00:55:53,120 --> 00:55:55,800
Speaker 5: next morning, so my family is not particularly religious, but

1196
00:55:56,000 --> 00:55:58,000
Speaker 5: the next one they're like, oh, let's go to church.

1197
00:55:58,080 --> 00:56:01,120
Speaker 5: And I wake up and I am really really high,

1198
00:56:01,200 --> 00:56:03,560
Speaker 5: and so we go to a Catholic Mass and I'm

1199
00:56:03,560 --> 00:56:07,040
Speaker 5: just sitting there, Oh my god, what am I doing here?

1200
00:56:09,120 --> 00:56:12,080
Speaker 5: Not pleasant? Yeah, really, just trying to keep trying to

1201
00:56:12,160 --> 00:56:13,040
Speaker 5: keep it together. Anyway.

1202
00:56:13,480 --> 00:56:16,600
Speaker 2: Question number four of the High five, what is your

1203
00:56:16,680 --> 00:56:18,759
Speaker 2: go to Munchie? After you get high.

1204
00:56:18,920 --> 00:56:22,279
Speaker 5: Yeah, so I actually I do whatever I can to

1205
00:56:22,400 --> 00:56:25,759
Speaker 5: not eat. But my favorite, my favorite thing that we

1206
00:56:25,880 --> 00:56:27,640
Speaker 5: used to it is so when I moved out to California,

1207
00:56:27,640 --> 00:56:30,560
Speaker 5: originally I moved into a hacker house with like fourteen

1208
00:56:30,640 --> 00:56:34,000
Speaker 5: guys and so on four to twenty we would get

1209
00:56:34,000 --> 00:56:36,879
Speaker 5: a reservation at a Brazilian steakhouse in Palo Alto called

1210
00:56:36,960 --> 00:56:41,840
Speaker 5: Pompous and obviously smoke beforehand and go and so imagine

1211
00:56:41,840 --> 00:56:44,920
Speaker 5: if you will, like fourteen people and like they're basically

1212
00:56:44,960 --> 00:56:46,759
Speaker 5: twenty years old, you know when they come with those

1213
00:56:46,800 --> 00:56:48,760
Speaker 5: like big skewers of like oh the meat.

1214
00:56:48,719 --> 00:56:52,319
Speaker 2: Yeah it like you know there's stewers that many times

1215
00:56:52,320 --> 00:56:53,200
Speaker 2: they cut it, love it.

1216
00:56:54,120 --> 00:56:56,760
Speaker 5: Like fourteen people who have always smoked, like that skewer

1217
00:56:56,800 --> 00:56:58,520
Speaker 5: would not even make its way down the table, Like

1218
00:56:58,640 --> 00:57:00,239
Speaker 5: we clean that place out.

1219
00:57:01,640 --> 00:57:03,680
Speaker 3: So as you described that, you remind me of that

1220
00:57:03,840 --> 00:57:04,880
Speaker 3: show on Showtime.

1221
00:57:05,000 --> 00:57:06,800
Speaker 4: Is that basically the house that you had, one of

1222
00:57:06,840 --> 00:57:09,120
Speaker 4: these homes where everybody's living there trying to put together

1223
00:57:09,160 --> 00:57:11,280
Speaker 4: and build apps and everyone's a developer.

1224
00:57:11,360 --> 00:57:12,680
Speaker 3: You know what show I'm talking about right.

1225
00:57:13,480 --> 00:57:17,600
Speaker 5: Checking about Silicon Values, Silicon Valley, Yeah, it's there. Are

1226
00:57:17,640 --> 00:57:19,480
Speaker 5: definitely rhythms that remind me of it, but it was

1227
00:57:20,000 --> 00:57:22,560
Speaker 5: it was. I lived there for probably two years. It was.

1228
00:57:23,120 --> 00:57:25,200
Speaker 4: Silicon Valley is one of my favorite shows. I wish

1229
00:57:25,240 --> 00:57:27,360
Speaker 4: they created a new episode because I've watched it all

1230
00:57:27,400 --> 00:57:30,840
Speaker 4: and it's hilarious of watching the early developers and the

1231
00:57:30,880 --> 00:57:34,400
Speaker 4: Silicon Valley Erlic Bachman kills me right. That whole show

1232
00:57:34,560 --> 00:57:37,280
Speaker 4: is just phenomenal, as you described, like twenty of us

1233
00:57:37,360 --> 00:57:38,080
Speaker 4: living in a home.

1234
00:57:38,160 --> 00:57:41,400
Speaker 3: It's like those guys creating their whatever whatever.

1235
00:57:41,240 --> 00:57:43,480
Speaker 2: It was, Hulus and this and that.

1236
00:57:43,600 --> 00:57:46,320
Speaker 3: It's funny to see the things that they created and funny.

1237
00:57:46,240 --> 00:57:48,160
Speaker 4: Question number five of the High five, Matt, if you

1238
00:57:48,200 --> 00:57:51,960
Speaker 4: can smoke cannabis with anyone dead or alive, who.

1239
00:57:51,800 --> 00:57:52,600
Speaker 3: Would it be and why?

1240
00:57:53,000 --> 00:57:55,320
Speaker 5: So I thought a lot about this one, and I

1241
00:57:55,400 --> 00:57:57,720
Speaker 5: think there are people that it would be really unenjoyable,

1242
00:57:57,880 --> 00:58:00,960
Speaker 5: like historical, like like I've I've heard been on a

1243
00:58:01,000 --> 00:58:03,480
Speaker 5: show to say like, oh, like Hitler, like some sort

1244
00:58:03,520 --> 00:58:07,320
Speaker 5: of despot. I don't, I think that would be really unenjoyable.

1245
00:58:07,440 --> 00:58:09,480
Speaker 5: Like I don't. I don't think they get they're they're weirdos.

1246
00:58:09,480 --> 00:58:10,840
Speaker 5: I don't want to spend time with them. So my

1247
00:58:10,920 --> 00:58:15,760
Speaker 5: answer to this question is I would with uh uh

1248
00:58:15,840 --> 00:58:19,240
Speaker 5: the creators of South Park, Trey Parker and Matt Stone,

1249
00:58:19,360 --> 00:58:22,040
Speaker 5: because I find them to be absolutely fascinating. One is

1250
00:58:22,080 --> 00:58:25,000
Speaker 5: that they're some of the funniest people in the entire world.

1251
00:58:25,160 --> 00:58:29,280
Speaker 5: Right They've They've built this huge show. They do stuff

1252
00:58:29,320 --> 00:58:31,680
Speaker 5: like they went to the Academy Awards rang dresses, like

1253
00:58:31,800 --> 00:58:34,520
Speaker 5: they're they're hysterical, Like you just watch them. They really

1254
00:58:34,560 --> 00:58:38,040
Speaker 5: seem like fun. But they are also geniuses for for

1255
00:58:38,280 --> 00:58:40,680
Speaker 5: two reasons. One is that they like in the middle

1256
00:58:40,680 --> 00:58:42,560
Speaker 5: of making South Park, they went, oh, you know what,

1257
00:58:42,640 --> 00:58:44,640
Speaker 5: I'm just gonna go make a musical, and then they

1258
00:58:44,680 --> 00:58:46,720
Speaker 5: went and made Book a Mormon, which like cleaned up

1259
00:58:46,720 --> 00:58:49,720
Speaker 5: with the Tony Awards, huge, as big as any musical

1260
00:58:49,800 --> 00:58:51,840
Speaker 5: that's been made in the past twenty years, enormous, Like

1261
00:58:52,160 --> 00:58:53,960
Speaker 5: you don't you don't just fall into that, Like you

1262
00:58:54,040 --> 00:58:56,720
Speaker 5: have to be supremely talented to do that. And then two,

1263
00:58:57,760 --> 00:59:01,200
Speaker 5: so this is something that most people don't know when

1264
00:59:01,440 --> 00:59:04,520
Speaker 5: Uh they were signing a contract in two thousand and

1265
00:59:04,560 --> 00:59:07,280
Speaker 5: seven for basically what their share of the revenue would

1266
00:59:07,280 --> 00:59:08,959
Speaker 5: be for South Park, And in two thousand and seven,

1267
00:59:09,120 --> 00:59:13,280
Speaker 5: Netflix was still mailliing DVDs to people, and in this

1268
00:59:13,440 --> 00:59:17,520
Speaker 5: contract they uh they said we want fifty percent of

1269
00:59:17,600 --> 00:59:20,200
Speaker 5: the digital revenue, which was not a thing at the time,

1270
00:59:20,280 --> 00:59:22,400
Speaker 5: like fIF They were okay, fifty or and so you know,

1271
00:59:22,920 --> 00:59:25,560
Speaker 5: fine whatever that digital thing. Yeah, yeah, screw whatever. Yeah,

1272
00:59:25,560 --> 00:59:27,880
Speaker 5: like people are watching cable like it's fine, like that fine.

1273
00:59:28,960 --> 00:59:31,480
Speaker 5: Fast forward. So it was that same year that Netflix

1274
00:59:31,520 --> 00:59:33,600
Speaker 5: started streaming. So just to give you an idea for like,

1275
00:59:33,840 --> 00:59:36,160
Speaker 5: how how ahead of them ahead of the game they were.

1276
00:59:36,560 --> 00:59:41,400
Speaker 5: So when HBO signed acquired the rights to South Park,

1277
00:59:41,440 --> 00:59:44,080
Speaker 5: they paid five hundred and fifty million dollars for it,

1278
00:59:44,440 --> 00:59:47,480
Speaker 5: So they walked with two hundred and seventy five million

1279
00:59:47,480 --> 00:59:49,760
Speaker 5: dollars just like that, just because they had to foresight

1280
00:59:49,840 --> 00:59:51,360
Speaker 5: to go, Yeah, I think digital is going to be big.

1281
00:59:51,560 --> 00:59:53,440
Speaker 5: So they were way out of the game and just

1282
00:59:53,720 --> 00:59:57,120
Speaker 5: just rolling in money. So there, I think they would

1283
00:59:57,120 --> 00:59:58,280
Speaker 5: be so fun to spend time with.

1284
00:59:58,800 --> 01:00:00,960
Speaker 3: And maybe they'd got bus they got a little payper

1285
01:00:01,040 --> 01:00:05,000
Speaker 3: o their for sure. Oh hell yeah. And that's just

1286
01:00:05,040 --> 01:00:07,480
Speaker 3: one of the iconic shows. I mean it's still on

1287
01:00:07,560 --> 01:00:09,120
Speaker 3: every day kill well there it.

1288
01:00:09,200 --> 01:00:11,080
Speaker 2: Is, guys, listen, is there anything else before we let

1289
01:00:11,080 --> 01:00:13,640
Speaker 2: you get on the show? We let you get on

1290
01:00:13,680 --> 01:00:14,040
Speaker 2: out of here.

1291
01:00:14,640 --> 01:00:17,360
Speaker 5: Boy, I can't think of anything we covered so much.

1292
01:00:17,960 --> 01:00:18,680
Speaker 3: Well, thank you Matt.

1293
01:00:18,720 --> 01:00:20,120
Speaker 4: It was great to have you on. Thank you for

1294
01:00:20,200 --> 01:00:22,800
Speaker 4: traveling into town. It's good to have you from Illinois

1295
01:00:22,800 --> 01:00:24,520
Speaker 4: and make sure you get home safe and you know,

1296
01:00:24,680 --> 01:00:26,640
Speaker 4: next time come out here and let's do something here together.

1297
01:00:26,720 --> 01:00:28,080
Speaker 5: Yeah. Absolutely been great. Guys.

1298
01:00:28,080 --> 01:00:29,640
Speaker 3: Thanks for having me on and get us one of

1299
01:00:29,640 --> 01:00:34,000
Speaker 3: those jackets and extra large a large word right though,

1300
01:00:34,160 --> 01:00:37,240
Speaker 3: that jacket is hard he has on. Jee's go.

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01:00:38,320 --> 01:00:39,160
Speaker 2: Well there it is guys.

1302
01:00:39,200 --> 01:00:41,720
Speaker 3: It's Cannabis Talk one on one and remember this if

1303
01:00:41,800 --> 01:00:42,720
Speaker 3: no one else loves.

1304
01:00:42,600 --> 01:00:43,400
Speaker 1: You, we do.

1305
01:00:44,720 --> 01:00:45,560
Speaker 5: Thank you for listening.

1306
01:00:45,640 --> 01:00:47,680
Speaker 1: Did Cannabis Talk one on one with Blue with Joe

1307
01:00:47,760 --> 01:00:51,760
Speaker 1: Bronde the world's number one source for everything cannabis and

1308
01:00:51,920 --> 01:00:54,640
Speaker 1: make sure you like, follow and subscribe tod Cannabis Talk

1309
01:00:54,720 --> 01:00:55,560
Speaker 1: one on one now