He Went From $20K to $70M Using a Strategy Anyone Can L… — Transcript

You really only need one great trade to be a top 1% investor. The most inherently ground truth thing of investing. The most important thing, the thing that matters more than anything else is I don't look at valuation. I don't look at PE. All I look at is whether there is new information. I've been reading TikTok comments. That's where I get most of my alpha from. You have Buffett or Munger who are like reading the Moody's manual cover to cover, just company financials, and you're like, I scroll the TikTok comments. That year I made like 30 million in one year, and it was a wild ride.

You will try to beat the market. You'll trade with leverage. You're moving in and out of positions. You're not a buy and hold forever kind of guy.

Just before the pandemic, I had made the worst trade of my life. I lost a third of my portfolio on a single trade. Okay, so let's break it down. This is where the biggest mistake I ever made [snorts] was.

You break all the rules of investing. You know, all what I normally hear is you should just index, don't try to beat the market, don't take any leverage, [laughter] you know, and so but you do the exact opposite, right? You will try to beat the market. You'll trade with leverage. You're moving in and out of positions. You're not a buy and hold forever kind of guy. According to the internet, you've done pretty well. So, um, I've seen some different numbers that have been floating around. Can you set the record straight? What is the actual story?

Yeah, I, I, I started with 20,000 in 2007 to try this new methodology, which is the way I was investing when I was way, way younger that worked for me.

I, I call it social ARB investing today, but what it essentially is is observational investing. You're looking for any change that's happening in the world, whether it's, you know, change in consumer behavior, change in culture, change in technology, change in the weather, politics, anything that has the potential to be meaningfully impactful to one or more publicly traded companies in either a positive or negative way. So if you can surface that change early and connect the dots back to a company that would benefit or be harmed by that change, that's essentially the entire methodology.

It doesn't really incorporate much fundamental analysis.

It definitely doesn't incorporate any technical analyses in its purest form. You really don't even need to know what the stock is trading at when you open up a position or what it's trading at when you exit.

So ideally, you'd be completely blind to stock price, completely blind to everything other than the extent to which other investors were aware of that one thing that you surfaced that you feel would ultimately be impactful to that company. And, you know, you enter your position at the point of information asymmetry, right? When you know that thing and very few others do, and you exit the position at the point of information parity when other investors start to learn about that thing that you uncovered first. And it sounds so simple and it really is, but there are nuances to it. And like everything else, to be great at it, it takes time and a little effort and some regimented processes that you have to go through, like is the information that you found actually meaningful?

Is it a needle mover for that sector or for that company?

You know, is the information you found really off radar? Or do institutional and retail investors already account for it? And are there any other things that are happening at that moment of time or within the window of that trade that are equal or more important than that piece of information that you're trading, right? So there is a process there, of course. Yes. So and I want to go through a bunch of examples of it. So

You take this idea of observational investing of arbitraging information without being, you know, a guy who grew up on, you know, you weren't working on Wall Street, you didn't have an MBA, you didn't have the, what would be like, you know, some 20 years of experience doing this. The story is you take 20 grand, you start doing this type of investing, and you run it up. It just works pretty well for you. It's successful. I don't know the exact numbers, but I've seen something like, you know, 60 million, 70 million, 80 million is how you've grown that portfolio starting at 20,000. Is that right, by the way? Because I mean, that sounds in some sense too good to be true.

Yeah, it certainly is. It does sound too good to be true. It is accurate.

I don't know the exact number, 70 or 80 million of returns from the 20k.

But I've been audited over the past 17 years. I'll be reaudited at the end of this year, and I'll fall somewhere around 75% annualized returns total portfolio over the 17 or I think it might be 18 year period now since 2007. [music] Hey, let's take a quick break because the team at HubSpot has put together something pretty cool. You know, in this episode, Chris is talking about the way he knows how to make money, identifying these trends, scouting the TikTok comments, making these big leverage bets. That's great for him. It is amazing. Some people will like that. I personally don't know how to make money that way. I wouldn't do it. But I've talked before about the way that I know how to make money, about how to build a money-making skill, about how to leverage your time and energy. And the team at HubSpot actually went through the video where I explained all that and turned it into a free downloadable cheat sheet on my four rules of how to make money. Now, this is not, you know, get rich quick advice. It's just core principles, foundational principles about building wealth, things that I wish I knew when I was, you know, just getting started. And so if you want to download it, it's in the description below. It's totally free. You can go get it. Thanks to the folks at HubSpot for doing the research, making this document, and making it available to all you guys. All right, back to this episode.

Okay, so let's break it down. So you, you said, "I started doing this as a kid." You, I felt I went to the type of investing I was doing as a kid. I, I, I had read your book, Laughing at Wall Street, and you talk about like basically kind of starting with, like, you know, garage selling and very simple stuff when you were a kid, noticing things, talking to your brother, talking to your dad, "Hey, could this mean this?" and taking, you know, getting learning lessons with very small bankroll, you know, 100 bucks type of deal. So could you just take us like early days? What was the, where did you kind of have this sort of aha moment that this style of investing can work?

Yeah, you know, I was an entrepreneurial kid. I was really interested in making money before that was a cool thing to do. You know, the new generation now, all these kids are traders. They're trading crypto. I mean, it's all, it's like every kid now is like I was back in the, you know, '80s.

And by the way, that makes sense now because if you're a kid, you're on YouTube, you're on TikTok, you'll see things. But why did you have that itch? What made you want to get on that hustle? Who did you see?

I don't, I don't know what made me so laser focused on grinding at age 12, 13, but the way that I was going about it was not investing. It was arbitrage and garage sale and estate sale merchandise. I would take, you know, buses around the city on Thursday and Friday mornings and Saturday mornings before I could drive. Sometimes I'd take three or four buses before school to the one estate sale that I had seen in the paper the night before that, based on my analyses, I thought was most likely to have mispriced merchandise.

And the thesis there is that most of these estate sales at the time were run by older women who really had a great knack for pricing silver and pricin

successful I don't know the exact numbers but I've seen something like, you know, 60 million, 70 million, 80 million is how you've grown that portfolio starting at 20,000. Is that right, by the way? Cuz I mean, that sounds in some sense too good to be

true. Yeah, it it certainly is. It does sound too good to be true. It it is accurate.

It's I don't know the exact number, 70 or $80 million of returns from the 20k.

Um, but I've been audited over the past 17 years. I'll be reodited at the end of this year and I'll fall somewhere around 75% annualized returns total portfolio over the 17 or I think it might be 18 year

period now since 2007. [music] Hey, let's take a quick break because the team at HubSpot has put together something pretty cool. You know, in this episode, Chris is talking about the way he knows how to make money, identifying

these trends, scouting the Tik Tok comments, making these big leverage bets. That's great for him. It is amazing. Some people will like that. I personally don't know how to make money that way. I wouldn't do it. But I've

talked before about the way that I know how to make money, about how to build a money-making skill, about how to leverage your time and energy. And the team at HubSpot actually went through the video where I explained all that and

turned it into a free downloadable cheat sheet on my four rules of how to make money. Now, this is not, you know, get rich quick advice. It's just core principles, foundational principles about building wealth, things that I wish I knew when I was, you know, just

getting started. And so if you want to download it, it's in the description below. It's totally free. You can go get it. Thanks to the folks at HubSpot for doing the research, making this document, and making it available to all

you guys. All right, back to this episode. Okay, so let's break it down. So you uh you said, "I started doing this as a kid." You I felt I went to the type of investing I was doing as a kid. I I I I

had read your book uh laughing at Wall Street and you talk about like basically kind of like starting with like you know garage sailing and uh very simple stuff when you were a kid noticing things talking to your brother talking to your

dad hey could this mean this and um and taking you know getting learning lessons with very small bankroll you know 100 bucks uh type of deal. So could you just take us like early days? What was the where did you kind of have this sort of

aha moment that this style of investing can work? Yeah, you know, I was an entrepreneurial kid. Uh I was really interested in making money before that was a cool thing to do. You know, the the new generation now all these all these kids

are traders. They're trading crypto. I mean, it's all it's like every kid now is like I was back in the, you know, '8s.

And by the way, that makes sense now cuz if you're a kid, you're on YouTube, you're on TikTok, you'll you'll see things. But what why did you have that itch? What what made you want to to to get on that hustle? What who did you

see? I don't I don't know what made me so laser focused on grinding at age 12, 13, but but I but the way that I was going about it was not investing. It was uh arbitrage and garage sale and estate

sale merchandise. I would take, you know, buses around the city on Thursday and Friday mornings and Saturday mornings before I could drive. Sometimes I'd take three or four buses before school to the one estate sale that I had

seen in the paper the night before that based on my analyses I thought was most likely to have mispriced merchandise.

And and the thesis there is that most of these estate sales at the time were run by older women who really had a great knack for pricing silver and pricing other, you know, types of things that they knew about and cared about, but

they were really, really bad at identifying value in maleoriented uh items like whether it was old trains, old watches, any anything that tended to be m pre eBay, right? So, you can't just go look up every item quickly and know the

know the current like live market price for it. Yeah. Pre eBay. Exactly. So, I I would show up at 5:30, 6:00 in the morning.

And the goal is if you pick the right sale and you're first in line and you know exactly what you're looking for, uh you know, you got a good shot at buying something that is mispriced. And I I

would I did that for years. Um I just happened to go to the same 7-Eleven every morning and get a bottle of Snapple uh lemon flavored iced tea, which was like the hot company at the time. It was the hot drink at the time.

Yeah. Snapple used to be huge. Yeah. And and one morning I went to the 7-Eleven and they had like one quarter of the door space dedicated to Snapple.

They had brought in a couple other brands of iced tea. I don't even recall what it was. Maybe it was Arizona Iced Tea and a couple others. The clerk told me that that's the way it was going to

be from that point forward. Uh due to this new competition coming in. And sure enough, I talked to my older brother. I shared the observation with him. He was a stock broker. Uh I asked it, "Can I make money off of this? This has got to

be bad for Snapple, right? I mean, it's such a hot company." Sure enough, uh, a few weeks later, they had announced earnings. He taught me how to short Snapple with put options. I did it through his account. I was too young to

have a brokerage account. I think I gave him $300, which was most of the money I had at the time from garage selling. and he tripled the money in the course of about a month because Snapple for the

first time in its history had reported, you know, bad earnings due to inventory building up uh due to retailers like 7-Eleven giving them less door space.

So, it was just something that I had noticed as a kid and you have to ask yourself like that's crazy because you know professionals on Wall Street they could have easily have seen the same thing that I saw but they were so

distracted by so many other things macroeconomics noise government their jobs uh just heard mentality that they didn't see something very simple that was right in front of their face so you know if I did that as a you know young

teenager that really means something. Now, of course, I didn't realize what I did at the time, how special it was because you would never believe that you as a kid are better than, you know, all Wall Street. So, I I got really into stocks

and investing after that, but I did it in the conventional sense. I read all the books, and I mean all the books, technical trading, fundamental, and I just tried every type of investing method. And of course, basically nothing

worked. So, uh, I was just like everybody else. Uh, but you later on in my life when I was in my 20s and I had a job and I wasn't making as much money as I wanted to make or I felt that I needed

to make to have the life that I wanted, I got back into investing and that was really most aggressively in 2007. And I said, you know, why don't I try this kind of observational approach that I did a little bit of as a kid? And I I

recalled that one approach. And at the time it was similar. What I did as a kid was reflective of what Peter Lynch was doing. Uh though Peter Lynch, you know, utilized observational investing as just part of his methodology. He also did a

lot of fundamental analysis. So, let's break it down. So, there's major schools of thought around investing, right? Um, number one, passive investing. You know, don't try to beat the market. Just be in the index or even worse, mutual fund.

And, um, you know, you go as the American economy goes. All right? That's one school of thought. Then there's, oh, I I think I could do better than indexing. And there's technical analysis which is you know some cross between I

don't know horoscopes and you know fantasy football or something. [laughter] And so there's a lot of people who believe that they can read see patterns and and and and you know signs and math in the charts and that

the charts will tell you the technical analysis will tell you uh where the where the price is going. And so there's a lot of people who try to do that. I've never met anyone smart who's good at that but uh it's possible that that is a

thing. There are some people there are some people that do that really well. So, so okay. So, [laughter] there's there's technical trading, there's fundamental analysis, the sort of Buffett style of investing where you're trying to understand the intrinsic value

of the business. You're trying to understand the, you know, the durability and the quantity of the cash flows and you're trying to use that to to try to understand what the business is worth relative to what the market's pricing

it. A lot of people try to do that. That's sort of seen as like kind of gold standard. What you do is this other school of thought. So, you know, here comes door number three. And door number three, you kind of described it a second

ago, but I would my short summary of that is you're looking for significant behavioral change. So, the way that either consumers or businesses are changing in some way, whether that's COVID is going to make it where people are not traveling or it's um teenagers

are now doing this thing. You gave this example of women who were uh changing their bra preference from wired push-up bras and Victoria Secret is on top to you started noticing a lot of people talking about the word bralettits and

now they're wearing bra and here you know here's two guys talking about bras there's now women are wearing bras without a wire uh or a no bra movement and hey that's probably going to affect the number one bra player Victoria

Secret who's not even carrying bralettes at the time so you're looking for some behavioral change somewhere.

Let's not let's not um restrict it to behavioral change. Let's say any change. It could be a hail storm, okay, that impacts a positively impacts a publicly traded roofing company. It could be any anything that's happening in the world

that is changeoriented that is not well well uh discovered or known by by the investing. So not sort of consensus, not quote unquote priced in. And so let's go through a couple of examples. So what are your favorite examples of

these that you found in your life? Take me through a couple of your greatest hits. I mean, there's like there's maybe north of 80 uh 80 to 90 I know over the past 18 years. Uh you know, there have

been a handful that didn't work out. We could talk about those too, but for the most part, almost every one of them has worked out. I know that's really hard to believe. I know it's like exceptionally difficult to believe. Uh the one I just

mentioned that popped in my head uh is actually one of my my favorites. I I would track every spring. I would simply go and track uh the number of people that were searching for the words roof damage or roof repair. It's a it's a

free data source. Anyone could, you know, leverage Google Trends. And what's fascinating about this is when there is a hail stom, people will immediately uh start googling roof repair the day after that hail stom hits. Now the at

the time uh there was a publicly traded company called Beacon Roofing and they're one of the largest roofing companies in North America. And if the hail season was particularly damaging, uh that would meaningfully impact their bottom line as a roofing company. So

what's fascinating about that is that the Wall Street generally would utilize insurance sector reports that would report on the damage from the hail season as a data point to analyze Beacon Roofing, you know, prior to earnings.

But those reports take a very long time. They're really delayed. They're delayed by like, I don't know, 5 6 weeks uh after that the actual hail storms happen. So, I had discovered this real time data source that would tell me in

real time uh the volume of people searching for roof repair because even if you knew there was a terrible hail storm and you see it on the news, if that hail storm just happened to be over a super populated area as opposed to 2

miles down the road that isn't populated, that's what makes the difference. And the only nobody really knows how many people are impacted by hail, how many roofs are uh until they get reflected in the insurance reports or a great measure of that that's maybe

slightly less precise but way more real time is the volume of people that are searching for roof repair. Now, what's so great about a platform like Google Trends is you have, you know, 15 years of historical data. So you can look at

every single spring and you could see where the peaks are in the search volumes. So there was one hail season in particular uh that the peaks were nearly triple anything I had ever seen before in years past. So I I went in on a very

large uh very levered call long position on Beacon Roofing and yeah I mean that would be considered like a greatest hit.

My my understanding is you the same thing you did in the garage sales where you said look most of these garage and estate sales were run by older women.

They knew the price of jewelry really well. you're not going to get uh too much of a deal there, but they may not know what their kind of husband or their son's baseball card collection is worth.

Specifically, this one 1996 Topps rookie card, Kobe Bryant, you know, whatever. So, you you find the value there. My understanding is you you applied the same principle to Wall Street. You said, "Well, most of the guys who are on Wall

Street, people who work in finance are guys, white guys who live in New York who are of a certain age." And then you started saying, well, instead of I'll use the garage sale principle again. If they know a lot about certain types of

things, where are their blind spots? Is that right? Is that how you how you thought about it? So that that's how you identify like the lowest hanging fruit or the highest probability of finding the most opportunity, especially early

on. And I would say the vast majority of my big wins were around, you know, changes in consumer behavior and culture that were primarily female oriented or youthoriented or to some demographic that wasn't older, white northeastern, you know, uh, you know,

geographically located, uh, in investors. So, you know, it it it could be something like I talk a lot about the uh the moment that Jeffree Star, who was a beauty influencer, uh you know, made a single video about

this drugstore cosmetics product made by E.L.F. Cosmetics that was just as good as a $60 product. It was called the E.L.F. primer putty. That that was an old trade now, but that was back when E.L.F. was trading at like $7 a share.

uh before it blew up to $170 a share, right? Uh but but just be seeing a you single YouTube video and then realizing that wow, it has 10 million views and this is a company that nobody cares about and all of a sudden the most

influential, you know, uh content creator in the world for beauty is saying that it's just as good as one of the best products in the world. I I went down to I think it was CVS or actually I think it was

Walgreens by my apartment and just stood there all day and and and watched moms coming in with their kids uh and buying out all the E.L.F. products because all of a sudden instantaneously this drugstore brand that was just like at a

price point of like eight bucks for any piece of makeup, right? Became a cool brand because this one individual said it was. And and so that was a game-changing moment that I witnessed via watching a YouTube video and I

actually called one of the analysts on Wall Street who is covering ELF cosmetics because part of my methodology is not just to discover things early, but you have to assess to the degree to which other investors might already be

aware of that information in order to gain conviction uh that you that you truly found some information asymmetry in the market. So I called this analyst and I said, you know, what do you what do you think about the Jeffree Star uh

video on on ELF? Uh you know, has that impacted the way that you're analyzing ELF this quarter? And the analyst said, "Who's Jeffree Star?" And and and that at that moment, I knew everything I needed to know about that trade. Right?

And and listen, it makes sense. These guys are not watching, you know, YouTube videos of beauty influencers, right? Uh but that's all that I do. I I spend I I people don't believe me, but I spend on average 3 to four hours a night, late

night, uh basically reading through these days, the last six, seven years, uh uh Tik Tok comments, right? So like that's where I get most of my alpha from recently is people cuz cuz that's just happens to be the place uh where people

express themselves most freely uh across the uh largest number of topics and that'll get you laughed out of the room with with you know quoteunquote serious investors right like you know you have you have Buffett or Mer and

these guys who are like reading the Moody's manual you know cover to cover just company financials And that's where they're looking for an opportunity. And you're like, I scroll the Tik Tok comments and that's why I'm compounding 75% a year for 20 years.

[laughter] Well, okay. So, here's what you have to determine as an investor because we we can't all be, you know, warm up, right?

So, like like who do you want to compete with? I always say it's really not important for you to be smart, but it's important for you to figure out how to be smart in a totally different way than

others. So, do you want to go and compete with the top mathematicians in the world as a as a technical trader? Do you want to compete with just droves and droves of, you know, Wharton and Harvard grads who are doing financial analysis?

Can you do that analysis a little bit better than them? Yeah, maybe maybe you can. Maybe you're that type of a person.

But let's be honest, uh most of us, I'll I'll even say 99% of us probably don't fit into one of those two camps. So, how could the rest of us get an edge on Wall Street? How could the 99%

figure out a way to outperform others in the market? like what could we do that others aren't doing and you have to think differently. So you have to look for edge uh in a place where your competition and your competition being

conventional institutional and retail investors are not willing to go. And you know the one thing about institutional Wall Street is they like uh correlated data. They they like certainty. They like proof in in in in historic correlations. So the data that I am

trading is conversational data because Wall Street primarily uses transactional data. So they'll use credit card receipts that they spend millions of dollars for and then they synthesize all this transaction data uh so that they can kind of figure out what's happening

at that company before earnings. So, a lot of times when we see stocks move a week or two before earnings and we're like, who's doing that? Like, how do they know, right? Like, it it's transactional data. Wall Street's been

utilizing it for 15 years, more so today than they ever have. So, like, how do we gain an edge on a hedge fund that's spending millions to tens of millions of dollars and has fleets of people analyzing credit card receipts? Well,

what do you do before you buy something? uh you talk about buying it. Uh so you there's a billion people out there that are talking about their interest and what they want and what they did and what they plan to do tomorrow every

single day. uh if they see a video about a particular, you know, piece of apparel, uh you'll have 30,000 women commenting whether they plan to also buy that piece of apparel that they just saw a video on, right? And and so what you could

actually measure the depth of interest in an infinite number of things even before that's provable through sales, right?

And and so it in my opinion it's a superior uh way to to discover alpha a change in the world although it's imperfect because you have to do a lot of your own interpretation of what you're reading and what that actually means because

it's speech and and and it's a lot of times the speech is nuanced and uh the way that we speak about things is constantly ly evolving. So, you know, if you're just a regular person that spends a lot of time in the real world, uh, and

and on social media, uh, believe it or not, you're probably well qualified to make that assessment.

Yeah, [laughter] there's, uh, there's a great story. I don't know if you know the story of uh, the trending tab on Twitter. It's actually kind of it's an interesting story. that the guy I met the guy who who did it. He's uh he's running a

company. His name is Abdder. So my friend Abdur was basically uh at the time had you know a group of basically data nerds, machine learning and data nerds and they were trying to figure out they were trying to do something very

meaningful for the world. They were like we would love to be able to do sentiment analysis. So trying to figure out how people feel about things. So do they feel positive about something or negative about something? And um so he's

like oh Twitter is this huge source of text traffic. So, let me just try to use Twitter to understand sentiment about things. And he was trying to do it and it wasn't really working very well. And one day he's uh on a train and he's

working on something and he just sees that like his program he's writing is not spitting out sentiment analysis about things, but it's just spitting out like city names and he's like, why are there like these city names or the

sorry, country names? Why are these country names just popping up out of the the why is it being surfaced as signal?

And what he realized was that the Olympics was going on or the and they were basically like, you know, the the opening parade was happening and each country that was, you know, being shown was getting mentioned a lot. And what he

realized was that like, oh, if I just paid attention to the Delta, so like if nobody's ever talking about, you know, whatever Zimbabwe, and suddenly it's not that a lot of people are talking about it, but way more than usual are talking

about it, that's got to mean something. And so he created a standalone product that was basically just tell you what are people talking about in a abnormal way on Twitter. And then Twitter ended up buying that and making it the

trending product which was actually like really really important for Twitter to succeed because they were able to differentiate from Facebook and others by being about like real time what's going on in the world. How do you figure out what's interesting and new and fresh

that's going on in the world? Well, you needed something like that that was reading all the social signals. It sounds like you were kind of manually doing a similar thing when you're like, "Oh, I noticed a lot of people are I've

heard you talk about the example of slime. Hey, this slime trend is getting really big." Well, how do you make slime? Right? If everyone's doing slime, if all the kids are doing slime, well, how do you make slime? You need Elmer's

glue. And then you go and you figure out that, wow, people haven't really priced in that Elmer's glue. Elmer's is about to have like, you know, a huge quarter or a huge huge earnings call. So me and my business partner, we actually created

a platform called ticker tags in the mid 201s with Twitter uh and we had access to the Twitter decahose which is a 10% randomized sample of every tweet in real time and we handcurated um about 1.5 million word combinations

that represented how people were speaking about every product, brand, basically anything that was connected to any publicly traded company or meaningful to any publicly traded company in any way. We had organized into a taxonomy. So every company had

like you know 300 to a,000 combinations of words like what would be an example? What what do you mean by that? So like if I'm Nike, what do I care about?

So okay, so you just mentioned slime. So which is one of my big trades. New Brands makes Elmer's glue, right? So Elmer's glue would be a tag for New Brands. uh DIY slime, which is a product that uh utilizes white Elmer's glue uh

when you're kids to playing with slime. That would be a tag because to the extent that DIY slime gets more popular, uh that's something that someone who's invested in new brands might want to know. So we were actually monitoring in

real time the frequency of mentions of those 1.5 million words and benchmarking them against historical norms including seasonality. And so since it was organized in a taxonomy, uh when there was any type of anomaly in speech patterns happening across Twitter that

were impacting a subject matter that we had curated to be impactful, potentially impactful to a publicly traded company, our system would flag that. So that that's a platform that we developed and sold to hedge funds and sellside banks.

And so what that was was basically me taking my methodology of what I had done manually and institutionalizing it uh for Wall Street. And at the time people expressed their opinions on Twitter about everything that they were doing in

life uh the way that people currently no longer do on Twitter but do on you know in places like Tik Tok. Now you know Twitter is mostly newsshoriented or finance or tech oriented right uh political oriented but people are not

generally talking about the movie that they watched last night on Twitter right they're doing that on other platforms but but we sold that company uh to Jeff Bank uh years later was that like a successful company you know obviously you know it's not that it

was unsuccessful but I guess you know it's all relative so for example you know you're selling that data to hedge funds are they really receptive to this?

Do they believe what you believe? Were they willing to pay? And that's the coolest part of the story. Uh I spent years flying to New York nearly weekly uh training the top sellside banks and the the the I would say you

know probably five or six of the top 10 hedge funds in the world on how to interpret this observational conversational data and how to attempt to correlate it and they just had very little interest. They had interest in

the results, but they couldn't figure out how to build teams around it because hedge funds generally have individuals that are like mathematicians, right?

That that that were that they were hiring from the West Coast to develop, you know, algorithms for for for trading like quant traders. And then they have very traditional fundamental analysts who are basically finance heads that would, you know, would crunch numbers

and kind of do fundamental analysis. They didn't really have, you know, 20some year old females on staff who were really savvy interpreting, you know conversational data, you know, coming coming off it and and and like, yes, this is a trend, this

is not a trend. uh this is meaningful, it's not meaningful. So, it was a whole, you know, Wall Street, they they do things kind of in the same way that they've always done things, right? And it's really difficult for them to stick

their neck out and say, "Hey, you know, we believe this thing matters when there's no historical correlation between the speech pattern of that subject matter and the stock price or the earnings of that company." Because like I said, speech patterns evolve and

that thing that they're talking about could be a new thing that was never meaningful before at that company. So that is unfortunate for Wall Street, but it's fortunate for retail investors, right? because we we now know uh I guess

I'm telling you right now that this is still a data set that they're scared of.

This is still a methodology that they have a hard time wrapping their head around because they can't really document the degree to which it it's it's meaningful for a thesis. If you were to have someone come out and say,

"Hey, I I I've been reading Tik Tok comments and I I believe [laughter] I believe that this new show at the Spear in Vegas, uh, Wizard of Oz, people are super hyped on it." And I like read 180

comments of people flying in from Europe next month to see it. And I think this just might be the like the one thing that Spear has done, right? And it's going to be a game-changing moment for the company, finding product market fit.

Sounds oddly specific. [laughter] Is that actually a trade trade you're you're in right now or no?

Yeah, it was. Yeah. So, so so that so Sphere uh the Wizard of Oz uh Sphere was actually one of my largest uh wins of 2025 and it came from reading comments uh of Wizard of Oz the first 48 hours that it

was out and essentially making it a monstrously big leverage up 114% this year. Well, it was a levered options trade, so it was a lot more than that. A lot of what I do when I have high conviction around uh a

particular thesis that has a especially when they have a very defined window of time when I believe others will will start to acknowledge that that that ground truth. In the case of Spear, it was people counting seat uh sales of

seats. So you're actually able to go in and see how many seats are available for a show that's a week and a half or 2 weeks out. And that's exactly what happened. So over the course of a few

weeks, uh other and it was cool because it was like retail analyst. It wasn't even like Wall Street, but the other people that were trading Spear were like, "Hey, like we're seeing a there's a lot of seat. We never seen seats sell

out like this before for a show." So what I had interpreted from early user early reviews ultimately came out in seat sales that other retail investors started trading and then Wall Street eventually picked up on it when the company came out and said that

they're adding new shows, right? Because they're selling out all their shows. They're increasing their, you know, profit guidance and yeah, you would the stock has, you know, more than doubled here over the last few months, uh, exclusively almost because of Wizard of

Oz. Do you remember when So, the show is called My First Million. Do you remember when you made your first million and you know what what got you there and how did it feel?

Yeah, I I I 100% do. I was u working at a company called Eve Rewards in Dallas, Texas, uh, with one of my best friends, uh, Patrick. It was like not far past when I started this in 2007 with the

$20,000 that I had grown to a few hundred,000. And I said, "This is just absolutely crazy." I said, "I think I'm going to I think I'm going to hit a million dollars here, like within the next, I don't

know, next year or so." And it was a few months later I hit a million dollars.

And I'll never forget walking into his cubicle and saying, "I did it. I cannot believe my account. Just hit a million dollars. It absolutely melted my mind uh that that happened and you know I wrote my book I don't know 2 years 3 years

later laughing at Wall Street because there was this tracking service called covester at the time and covester was like the first portfolio tracking service I think they had 40,000 accounts in it including mine and it would monitor you know how well you're doing

month-to-month total portfolio and it would rank you publicly And there was a while uh a moment in time when I was the number one ranked investor on Cobb uh which is just absolutely wild and it was during that

three-year period. And that's when I I I think I was on a few different business shows like Fox Business talking about it. And then I got a book deal to write that book, Laughing at Wall Street. And when I wrote Laughing at Wall Street, it

was 20,000 to $2 million. It was 100 times your money in 3 years. And at the time there was a small piece of me that thought, you know, is am I just like part of the longtail statistical anomaly,

right? You flip a coin, flip a coin 100 times, somebody, if you get enough people to do it, somebody will land on heads, you know, 90 times and they'll you'll think they're they're a genius or No, 100%. I doubted myself more and now

I had a really defined methodology and I knew the narrative behind every one of my trades.

It was very sensible, right? Like it wasn't like this mystery where I came up with some random formula and it was just trading stocks on its own and maybe the formula just happened to get lucky. I felt strongly that the nature of

observational investing about simply uncovering some piece of meaningful information that others weren't aware of intuitively just makes sense, right? Like it's not like this mystical thing that you're like, "Well, that doesn't make any sense." Of course, it makes sense.

You're just uncovering important information a little bit quicker than other people, and you're connecting dots a little bit quicker than other people.

So in my head, I knew the methodology at its core was really valuable, but I still didn't believe that three years was enough. So in my head, I was like, if I can get to 5 years and keep this track record up,

that would be insane. I got to five and I was like, okay, let's see if I can push it to 10. And then I got to 10 years and now here I am. I'm at eight.

Like I said, I think I'm going on 18 years of average 70, you know, mid70s of total portfolio returns. And I truly believe I can hit 20. So like 20 is now the new number in my head. I want to go for 20 years and

all I have to do at this point is not mess it up, right? But but at the same time, it's very hard generating, you know, returns that are that high.

So let me ask you a couple mechanical questions. Do you take profits every year? Do you reinvest everything? What are you actually doing with sort of annual? Yeah, because you know, you compound at that rate for a long enough

time. The number is actually much bigger than 70 million that you Yeah, it's almost a billion dollars. So, it it so what's in this is where the biggest mistake I ever made was uh that I'm now resolving for the most part. So,

just about I've been half of my life is trading public equities through you know observational investing. social, conversational data, everything we're talking about. The other half of my life is been an entrepreneur. And you know, I've had some success as an entrepreneur

and like a lot of entrepreneurs that have success, you start investing in other entrepreneurs. So I've been an early stage venture investor for 20 years. I'm actually invested in 160 early stage companies. And my performance investing in early stage

companies is pretty much average. Uh it, you know, I'm on sync with just about any other average VC. I I want to say maybe 10, 11, 12% annualized returns.

So, I have pulled out almost all of my gains every single year for the past 18 years and have taken that money and invested it in the private market.

[snorts] And that has been really unfortunate for obvious reasons. It's unfortunate because the opportunity cost of my capital is so high. But I never even believed in myself that much on the public side that I could continue to do

that. So I was never like, "Oh, well, I'm just going to keep doing 70 some odd% average returns." That never really seemed feasible. It I I felt like I needed to make my home runs in the early stage VC world. And I finally came to

terms a few years ago with the fact that that was a really bad decision. And it's taken me about 4 years to pull myself out of early stage because when you're when you're an early stage investor and that big of an early stage investor I

mean I was taking hundreds of meetings with founders annually and it takes a long time to unwind yourself from that ecosystem. [laughter] Yeah. So, I forget who it was. Maybe Peter Lynch, he had like a don't don't cut your flowers to water your weeds,

right? Like he basically he talked about with with stock individual stocks, right? Don't sell your winners to diversify back into like losers. But, you know, in a way, what you were doing was at a at an overall level, if you

were performing at 70% in one asset, one strategy, and 10 or 11% in the other, but you were taking the profits out, you know, that's a that's a water that's a water your weeds sort of scenario. Yeah.

And and and by the way, nothing I love Peter Lynch maybe more than any other investor, but you know, I I don't believe in any preset rule of investing like that. Like my methodology is very clean. You know, I I you you invest when

you discover something that other people haven't discovered yet that will be meaningful to a trade and you exit as soon as other people have figured that out. And that's it. That that's literally the only thing. And and if

that stock goes up 100x or 200x, you don't sell it because it's up 200x, you know, you you sell it when other people find out the information that you're trading. So, one of my most controversial trades a over a year ago

was, you know, Palunteer and I I went all in unbelievably levered in Palunteer at $30 a share and I was very public about it. You know, I have a YouTube channel, Dumb Money Live, and we did a multitude of episodes on Palunteer, and

this really strong thesis that we felt there was this kind of 12 month window where the whole world was going to discover these things about Palunteer that were really misunderstood.

And I had never gotten so much heat, a lot of it, from Palunteer investors going, "You're an idiot. We've been in this thing since six bucks. you're gonna do this at $30 a share? Like, what are you talking about? I'm like, well, I I'm

not trading the information you were trading at $6. I'm What was the sort of twoline reason you were so bullish on Palader at that stage?

Well, cuz pe cuz people didn't even understand what they did, right? They didn't understand the the where they would actually sit in the stratosphere of the AI wave that was coming uh as a beneficiary of it. and Palunteer was

just starting to scrape the surface uh of this new product that they had with clients and there was it was unstoppable, right?

like like there was just going we knew there would be this 12-month window when everything that Palunteer had been working on for years, they finally had the case studies done with their first set of clients and now they were just

going to start to steamroll and and add add the client. So So they were just scratching the surface of their TAM and the market didn't realize that. So what was interesting about Palunteer is that they were so overvalued at the time

based on fundamentals that people were like there's no way you could be going in levered on Palunteer at $30 a share with its valuation already so out of whack. And my response to that was the valuation is irrelevant to me. I don't I

don't look at valuation. I don't look at PE. I don't look at anything like that.

Um, all I look about is there is new information that's about to come online for Palunteer that will bring in a whole new group of investors. And once people see this information, however they're valuing Palanteer today based on the information that exists,

this is new information that will be settled into the stock price. And that's exactly what happened. And Palanteer went from, you know, 30 to 160, right?

or whatever it went to 180 question. You say uh you know I went really big into this or I made a huge bet on this. What is that? And you're taking leverage which could cut both ways, right?

Obviously leverage will increase your gains but it'll quickly sink your your portfolio if done incorrectly. How much are you actually let's say you have you I think you said something like $70 million portfolio. Let's say you have $70 million and you get a lot of

conviction about something. What are you actually betting at a high conviction bet at this stage? Are is it are you putting 1% 10% 30% like what are you putting out there and then you're levering up and then how do you manage

that risk of that going south? Yeah. And by the way, just to be transparent, it's 70 millionish of returns, right, of of of gains over that time. And you know, those gains were taken and put in into other things like

private companies, right? So I'm not managing. That's not my publicity. Let's say that's gains. You got to pay taxes.

A lot of your stuff sounds like it might be short-term because it's not holding for almost exclusively and then you're reinvesting that into your uh addiction in startups. And so that's that a lot of it's going that way. But but percentage-wise

percentage-wise um when you have a uh high what I I call just a high conviction idea uh I'm usually investing between five and 10% of my entire uh liquid portfolio uh into that idea via options. So if you're wrong, you just lose 5 to 10% of

the portfolio. And a and a good example of where I did that and was you know wrong like I think two or three maybe three weeks in a row maybe four weeks in a row and I lost like 30 40% of my

portfolio was during uh covid during the pandemic when I was kind of tracking the virus coming out of China. I was you know using Google translate on a lot of uh medical reports coming out of China to assess uh how big of a deal that

virus was. And it became very clear to me that it was going to be a global pandemic. And you know, global pandemics only do one thing to financial markets, right? So I I was essentially taking I think 10% of my portfolio and putting it

into puts in the S&P uh casino stocks, Vegas casino stocks and airlines uh every week. and the market wasn't moving down. Like the market just wasn't accepting uh COVID for what it was. And I got to a point

where I was like 30 to 40% of my portfolio was gone. And I did it again the week after. And that week after was the first week the market cracked and it went down 2%. And then the next week is

where it it really hit. And that that was one of the biggest trades of my life. And uh over the core I think that year was like a 370% annualized return total portfolio some something like that and it was partially because I had

shorted the pandemic early on even though it was a little too early it paid off and then 2 days after it bottomed I had a selection of I think 14 or 15 companies uh that should have never gone

down at all. they should have only gone up as soon as we realized there was going to be a global pandemic and and everybody would be stuck living in their house for you know working in their house for a year. So, you know,

companies ranging from Ulid Packard where everybody would want to go buy printers for their house to Pelaton because you can't go to the gym, you got to work out at your house now. Shopify because, you know, you're shopping

online. Amazon obviously. Uh, you know, Campers World because one of the things you can do, you can still go camping. uh boat stocks. You know, I bought a company out of Canada that nobody even had ever traded before that owned Schwin

bicycles because, you know, Schwin had a run of the biggest bicycle sales in the history of the company. I think that that company went up 8x 8 or 9x over the course of 9 months. Uh so, you know, I

had these 14 15 companies. I was like, these companies should be doubling right now. And instead, they were all down like 30 40 50%. just because the whole market traded down. So I always knew that I was going to go levered long in

these 15 companies, but I didn't want to do it until the market became less erratic and irrational. So once the markets finally started to, you know, normalize and come back up, I took all the gains from shorting the travel

stocks and the market at large and just put them into levered positions in these 15 companies, which is obviously the trade of a lifetime. So, so that was a dollar amount. That's like the biggest dollar gains you've ever had. I I I

don't know, by the way. I I don't watch enough of your content to know how much you talk like do like do you disclose like how much you make on these things?

Do you say like I got a 10 million active portfolio? Like what what do you actually say? I don't know. I don't know what you're very open and transparent. I think that year I made 30 million uh in

the market. So that was like 30 million in one year. And it it was it was a wild ride. I think the most interesting part of that narrative was just before the pandemic, I had made the worst trade of

my life. And it was actually a trade that was psychologically damaging [laughter] to me. Like I lost a third of my portfolio on a single trade just months before the pandemic started. And the the probably the thing I'm most

proud of myself of is I was so down and out about that trade that I still found a way when I when I you know had come out with all that conviction on CO to actually still go all in on my thesis on

CO even though my account was so brutally damaged at the point that if I got another one wrong I mean so it was like I could have gotten That would really have wiped me out. And I mean, not wiped me out, but it it would have

been an unbeliev unbelievable damaging implosion for me to have two monster trades in a row go wrong. The one that went wrong months earlier was a company uh QSR. They own Burger King, Popeye's, and Tim Hortons.

And I was so convicted that the company would have the best earnings quarter in its entire history because two of the three companies they owned both had anomalies on the positive side. Burger King had the Impossible Whopper uh which was unlike anything the

company had ever done before uh in terms of sales traction and Popeye's had the uh crispy chicken sandwich which is during the this is the chicken wars if you remember Chick-fil-A. Yeah.

Yeah. At at the time. And that chicken that crispy chicken sandwich that Popeye's had it would literally sell out in like two hours every day. uh Popeye's. No one had ever talked about Popeye's ever in the history of the company uh until this

crispy chicken sandwich. And I was monitoring both those trends and I was like they're they're both going to report the best quarter in the history of their quarters at Burger King and Popeye's. And then you have this third

piece which was unfortunately the biggest piece of the company, Tim Hortons. And Tim Hortons is just, you know, they're they're a Canadian coffee and donut shop, okay? And the company had basically been around forever. It had not been doing awesome, but it was

kind of flatlining. They would have to have had a really bad quarter to screw up my trade. And it was just happened to be a really difficult company for me to to extract information on through the methods that I used

because it was Canadian and people just didn't talk about it that much, right? There was nothing happening there. So, it's like I saw zero reason why they should have this anomaly of a bad quarter, which is exactly what happened.

They just happened to have like randomly one of the worst quarters ever, which statistically the chance of that happening were so low and it crushed my trade. I I lost all of my money on that trade and it was like a third a full

third of my portfolio. And the wildest piece about that, and this is where there's a lot of self-reflection, because I take a lot of pride in in going in deep and doing really intense comprehensive due diligence where sometimes if I if I have a high

conviction trade, I will put, you know, 60 plus hours of due diligence into the trade where I like to joke that I'll uncover every piece of contextualized information on the company globally through every social media. anyone who's speaking about any of their products. Uh

I will visit I will sometimes travel if they they're a retailer and visit stores and talk to store owners and clerks.

But because there were three things I was having to deal with Burger King, Popeye's, and then Tim Hortons, I just assumed Tim Hortons. How bad is it going to be? Well, they had the Tim Horton's annual meeting a few weeks before

earnings in Florida that I didn't realize they had this meeting. But if I did realize that and I had done my homework, I would have been at that in Orlando for that annual meeting. Not cuz I would have got gotten in, but I would

have hung out at the bar and I would have talked to all the franchisee owners because from what I understand, there was a revolt at that at that meeting by franchisee owners because the company was doing so many things wrong. Their

sales were just getting slaughtered due to recent decisions that corporate was pushing on the franchisee owners and it would they were very public about it at that meeting. It was really harsh and if I was just in in the building right at

the bar, I would have been well aware of that. So, going back, uh, I learned that, you know, you really have to be comprehensive in your research if you're going to take a levered bet on a thesis that you have. And

you can't you can't be lazy. What are the bets you're looking at now? Because a lot of these examples are from the past 17 years. Where are you now on the AI side? You know, two of my favorite AI picks, you know, right now.

One is Bloom Energy. You know, the energy trade is a big one. Uh, and it's one that's really, really, really misunderstood, I think, by most investors. So, Bloom Energy is a company, uh, that just has a really different approach to powering data

centers, right? They're not using big gas turbines. Uh, you know, they have a technology that they've worked on for, you know, 20 years that is actual, you know, DC, uh, technology where instead of combusting gas, it's actually a

chemical change that creates the energy. And they have a really quick uh, timeline uh, to energy for a data center. So, if you have a data center and you could actually get energy through Bloom and get your data center

up and running 6 to 12 months quicker uh than getting on a wait list for gas turbines and going through all the various approvals, that's that's a really big deal. And that's why Bloom Energy has I think they're up like five

or 6x right over the past eight or nine months as people are starting to realize this.

But there's still a lot of controversy around the company. So again, it's somewhat unproven. They only have a couple big hyperscaler deals, you know, ones with Oracle. Uh I think there will be others that will be announced in the

near future, but it's a new technology. So people are still somewhat skeptical of it. And then you have, you know, news events that that happen like this last week where now we're building data centers, you know, in in space, right?

you know, now that, you know, SpaceX is preparing to IPO, all of a sudden we have this narrative pop out of nowhere where, oh, didn't everybody realize that we're just going to be doing, you know, compute data centers in space now? Like

that's oh, that's like right on the horizon. Like couple years, 2, three years, yeah, we're just doing data centers in space. Like th this is the noise in the market right now, right? So like, oh, we're doing data centers in space and do we don't

even need any down here? like, oh well, if you're powering those with solar, you know, why would we want to value an energy company, you know, here in the US, uh, if you're just going to do them in space with solar? So, the market is

so add that it's changing week to week, monthtomonth based on whatever the hype story is that will, you know, either positively or negatively impact companies in the space. But for me, I I think uh I think Bloom Energy is

definitely one of my favorite AI plays right now because they will be the company that will enable data centers to get up and running, I think, meaningfully quicker uh over the next 3 to 5 years. And I think that's a company

that's just going to see its earnings double basically year-over-year for the next 3 to four years. Uh, and I think they're still very much misunderstood.

They're actually going to be the topic of my next uh, Dumb Money Live episode.

I'm going to go in deep uh, on Bloom Energy. We've spent like a couple months uh, doing some doing deep analysis on Do you publish all your like do you publish your portfolio somewhere? Do you publish your trade somewhere?

Um, we don't I don't ever publish trades. I I sometimes speak about trades on a really high level. The last thing we ever want is other investors trying to mirror our trades because that's just not what we do, right? We don't think

it's a healthy behavior. Uh I always tell investors to steal my ideas and run with them. So take the idea, uh then poke holes in the idea, do all of your own research, right? Uh and then come back to me and tell me where I was

wrong. Uh but ultimately then go off and make your own trade based on your own, you know, riskreward because we all have different degrees of risk tolerance and we should all have a different take on an idea. So I love sharing ideas. I

don't really share trades. I mean, I'll be honest with you because um this is not my world of expertise.

I'm a founder first and my investing is very um sort of simple. Uh you know I basically own a couple of you know I own some indexes and I own stocks that I understand I've owned them for a long

time. You know tech companies basically because I've grew up in the tech industries ever since college. And then I my investing outside of that is private angel investing again tech. And lastly would be, you know, my own private equity where it's businesses

that like individual businesses that I can own and and I can affect with with things that I know how to do operationally or promotionally with this podcast. And so you're interesting to me because on one hand I I think well first

of all you're interesting because the story is great. Like I turned $20,000 into you know I've made 70 million in gains or something like that's an incredible story. I think it's interesting because your approach like just the way you describe

observational investing actually lines up with what a lot of the great investors do and say which is that they don't um sort of spreadsheet themselves that they try to understand like surface out the signal from the noise. What is

the actual important thing I need to know about this company that I can believe before it is obvious, true and proven. And you know the market uh sort of responds to certainty and if you can handle uncertainty um you could do quite

well at the same time. Uh you know sometimes you say things like you know 99% of the other 99% of us can go do this and we have sort of this I think I've heard you say you know uh the game

is rigged. Wall Street is rigged but it's rigged in our favor. And um you know that part I think seems untrue like if if what you've done is true it's in many ways because you have a a very

unique skill set and upbringing and background. No no that's the I let me just sort of explain that because I think it's important. I think I the last thing I would want is people to listen to this and be like oh okay cool I can just go

and trade levered up off of observations and I too will turn $20,000 into $70 million. There's a reason that's not common. That's not a common result.

There's a reason you get a book deal. There's a reason people will follow you because it's not a common result everybody everybody does. And I think one of the reasons it's uncommon is not because it can't work. That's not what I

mean. A lot of it is interpretability, right? So interpret interpreting the signals, trying to figure out what is actually important. Is it already priced in? What does this mean? Who does who benefits from that? The second order effects of that. That's not like, you

know, something incredibly uh you know simple that the that uh everybody is going to do. So there's a big difference between anybody can yes everybody can is different and so like I view it very similar to to startups where you know an

entrepreneur can come on here and they'll say look it's not rocket science I'm not any smarter than you guys I just did this this this and this and it's true that any that was in the capacity for anybody to do but definitely

everybody won't and uh and definitely everybody should not try because they don't have you know either the nature the disposition the the risk tolerance to be able to go do it. So I just think you're interesting because you're this

sort of like puzzle. Normally if I hear a story like this, it's too good to be true. It violates a lot of the sort of like fundamental wisdom that people have about investing where you want to buy, you know, buy a share in a great company

and hold it for a long time. You know, things that I have sort of accepted from, you know, a certain school of thought around this. So I think you're very interesting because you violate some of those and I think that that

works and it works for you and I think it's very cool. But I hesitate. I hesitate because I think that this is not something that a lot of people could or should do.

So, so I couldn't disagree more. Um, I do I agree with some of what you're saying in terms of Yes. I mean, over a long period of time, you know, doing, you know, generating almost $und00 million from a, you know, $20,000. Yeah,

that it's that's not easy to do obviously. But I will say this. I think I think the biggest issue is simply bucketing money and having uh risk capital. So I think the the the number one issue preventing someone from doing this is thinking that

they have this one bucket of capital for their life savings for their future kids college for their retirement. And they think about that money all as one. And this is something that's a little foreign. the concept of being a regular

person and observing something and saying connecting the dots and saying, you know what, I'm going to put a lever bet on that because I just found, you know, I just discovered this. You're not going to do that unless you have your money properly

bucketed. And the one thing I teach people is you have to have risk capital.

I don't care if it's $50 or $50 million. You don't you shouldn't be waiting until you're part of the, you know, ultra wealth class to to to to think that you have risk capital to take risk with. You

need to have risk capital starting with day one. So, everybody should have a big money account. I talk about this in laughing at Wall Street. Everyone should have a big money account. And the big money account is the account that that

yes, you get wealthy quickly with. And you do that by taking big swings on things that you really believe in. And the only way that you're going to psychologically do that is if you fund that big account with money that is not being stolen from

other areas of your life. So I I call it, you know, there's this whole concept of like frugality or tradeoffs where okay, maybe you mow your own lawn, maybe you make your own coffee, maybe you clip coupons. Like people don't want to clip

coupons to save a dollar. But if you think about every dollar in your life as as potentially being $100, 100x, which is 100% feasible over a long period of time if you invest aggressively with leverage and get a few wins, then you'll

clip a dollar coupon because that dollar coupon is clipping a $100 coupon. Okay? You're going to make your own coffee because instead of saving $5, you're saving $500 a day, right? So all of a sudden you discover all of this money,

newfound money in your life by making little tradeoffs in things all over your life. The difference is every time you make one of those tradeoffs and you save $5 for making your own coffee, you take that $5 and you put it into your uh

your risk bucket. Yeah. Account bucket. Right. By the way, this is not financial advice, right? It's just like this is how I did. I'm just saying like I hope I'm inspiring people cuz I re just understand something. I

graduated in the bottom 25% of my high school class. The bottom 20 today, the way college is, I could not even had I would not have gotten into any university in the United States. Okay, pretty much today in 2025 with with my

grades. This is why I love doing the podcast because you can get people who make their money in all different ways.

We just had John Morgan who's like the guy on the billboards personal injury law and he's a guy, you know, he's the biggest personal injury lawyer in the world, $2 billion a year. And then he started uh you he started his career

working at Disney World as Pluto. like he would be in the costume. And then he started because of that formative experience, he took the money from the law firm and started building little like attractions like uh fairs and and

and places you go and buy tickets like the the museum of crime and history, things like that. And he's made a killing doing that. So you have that guy comes on tells about how you make money that way. Another guy says how you do it

this way. So, what I love about the podcast is I get to hear these people who come on with completely different blueprints and playbooks that they 100% believe in. And I get to listen and I get to decide. I get to decide for

myself. Does that sound like something that's interesting or would suit me and I hope the listener does the same because I don't agree with a lot of what you said, but I found it all very interesting. And you know, there's some

things you said if like I I'll be I'll be totally honest. If you s if you have like a paid course somewhere, I would be like, I can't run this episode because I feel like this guy is selling this dream

to people that, hey, yeah, you just got to just go go get in the Tik Tok comments, find an observation, lever up, baby, make a trade. One trade will change your life. And it's like that is a scary principle. I think that is a

heretical idea to a lot of people. It's by why it's very interesting to me to hear it, to talk about it. Why is it why is it important to you that people really that the average person who's listening they believe this and they go

take action on this because you know like I said it's not that you're running a fund right so you're not soliciting investors you're not selling a course saying I'll teach you how to do this trust me it works you're not doing any

of those things which is usually why people really kind of pound the table and say you could do this just believe just go for it my my overriding purpose is to inspire every human on earth to enter the investing class

because I think it's the only way we'll ever solve the wealth gap. So like there's no way to solve the income gap.

The income gap is an exceptionally difficult problem to solve. The wealth gap is a problem that's solvable uh by bridging more humans into the investor class. And so everything that I do on X, everything that I do on YouTube, every

podcast that I do has a single mission to inspire other people to start investing on their own. And by all means, if that means just throwing money in the S&P and an ETF, awesome. But there's no reason to stop there, right?

Like I I I I know I know that people love the concept of actually hope and having an opportunity to do something truly great in their life cuz so many people when it comes to income are stuck. Their job is not going

anywhere. Okay? Like and by the way I am not a proponent of people quitting their jobs and becoming entrepreneurs and taking all this massive personal risk to start businesses. Um, I think there are very few people that are capable of

doing that. And I think that this road map is way more achievable for people.

Start making tradeoffs. Come up with a big money account. Do it through making trade-offs in your life and frugality.

Learn how to use leverage. Learn how to take big risk with other people's money because I call them other people's money because it's all comes through trade-offs. um in things that you believe in because you can do this. And

by the way, there is nothing cooler than when you're just a regular person and you you just make a grand slam in the market, right? And you you 30x your money, all of a sudden you have financial independence in life. So I

don't know many things that are more important because it just it helps solve so many other issues. And so many humans are just depressed because they look at their life and they're like, "This is my job. These are my expenses. This is

inflation. Holy crap, I'm screwed. I will never be the person I want to be for me or my family. And I want to inspire people that it doesn't have to be that way." And you also don't need to

be taking big risks with your retirement money or any of that stuff. That's why I'm like I'm very clear. If you're going to do this, do it with money that's bucketed right for ris for risk. You know, this

isn't just about investing. Um the same methodology of being able to identify change in the world and tailwinds um and trends should apply to career. It should also, you know, like it should apply to entrepreneurs as well cuz like

I'm an entrepreneur like I'm about to start another business. Uh and that business is directly tied to the analysis that I'm doing discovering change in the world, right? So like you know we're about to embark on this journey of of abundance and it's not

going to be like we just hit the age of abundance in 5 years and we're not working like no the age of abundance is going to like slowly happen. It's already happening. It's going to it's going to like happen over the course of

decades and it's just it's just lots of tailwinds and trends. It's like people will be working a little less. People will have a little more free time.

people will have more flexibility to dive into the things that they care about, right? Uh wealth signaling will, I think, become even bigger in the future than it is today. I there's just so many changes that are massive that

are happening in the world that if you're an entrepreneur trying to figure out like where do I spend my time or if you're just someone that is figuring out where's your next career path or where if you're a young person, where's my

career path? like you need to be doing more analysis on where the opportunity is because these are some of the biggest decisions of your life. It's not just about trading a stock.

Yeah. Especially in Silicon Valley, you see this all the time. People will take a job and it's like you realize you're investing all of your life force. You're you're you know, you're creative energy and you're getting these stock options,

but you never thought about this like an investor. like you're just happy you got the job versus you should be looking at the job market the way an investor looks at these companies and even if you're not investing capital you're investing

your time right so that that applies you know totally there you you said you're launching a new business what is it it is related to the jet industry private jet industry which I believe will be one of numerous beneficiaries of

us kind of entering into this age of abundance with people having, you know, more. In fact, I I'll just quickly state that if you want a glimpse into the future, you need to simply look back into our past from the pandemic because

that one year of the pandemic when we actually had an abnormal amount of time as humans, we had never experienced anything like that throughout our lifetime. when we had excess time to actually do what we wanted to do and we

also just happened to have excess money because of this wild stimulus that happened during the pandemic. So if you want an example of what the age of abundance is going to look like in terms of the winners and the losers, just look

back to that one period of time. What did we do when we had more time and more money? We dug into our hobbies. we dug into our interest. Um we, you know, we we we kind of did things that now that

we're back to this world, right? Like we do a little bit less of. But if we truly get, you know, the industry of intelligence and automation and robotics to help us do the vast majority of work uh the repetitive work at least that we

do today, I think the entire world has an opportunity to become more creative uh spend more time with their families, with their friends doing things that are meaningful. Uh travel certainly I think is something that we can all count on in

the future as becoming a larger industry not a smaller industry. I am ultra long on the private jet sector even though myself uh I carry too much guilt to fly private. So like you'll never see me on a private jet but uh I I I I'm very

bullish on the sector. [laughter] That's amazing. Chris, thanks for coming on man. I appreciate you and uh people can go find you. you got your show Dumb Money Live. It's on YouTube. That's where I watch it at least when I when I

tune in. Um, so thanks for coming on. And by the way, the only place I am personally is X. So Chris Camilillo at X, but dumboney.tv has all the socials.

So thanks for having me on. I I appreciate it. Very cool. Well, that's it. That's the pod.