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Today we're watching Argentina and Spain
in the World Cup Final.
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{\an8}We're in Las Vegas, Nevada
at the Mirage Mega Mansion.
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00:00:17,705 --> 00:00:19,999
This is a Winible
World Cup watch weekend.
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00:00:20,750 --> 00:00:26,005
Winible is essentially OnlyFans
for the sports betting creator economy.
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The guys in this house have made
millions of dollars on prediction markets,
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00:00:31,052 --> 00:00:33,679
probably eight figures
just over the course of the World Cup.
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00:00:34,263 --> 00:00:35,598
I like betting on Kalshi.
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00:00:35,681 --> 00:00:37,224
Trading on Polymarket.
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00:00:37,308 --> 00:00:40,311
At the beginning of the World Cup,
you get to pick
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who you think is gonna win
the whole World Cup.
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00:00:43,022 --> 00:00:48,903
So, before it started, I put 5,000 dollars
on Spain to win the whole thing.
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00:00:51,572 --> 00:00:55,868
So I put Spain to win.
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Like, when you wake up,
you gotta put on your lucky underwear,
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00:00:58,829 --> 00:01:00,289
take a deep breath, say a prayer.
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00:01:01,540 --> 00:01:03,834
I think prediction markets
are low-key taking over the world.
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00:01:07,755 --> 00:01:11,634
Welcome to day four of flipping
1k into ten grand on Polymarket.
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Now, to an industry skyrocketing
in popularity, prediction market.
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What are you guys talking about?
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00:01:16,597 --> 00:01:19,308
Prediction market app, dude.
You know, online peer-to-peer betting.
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Hundred dollars on Kane to score. Done.
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10K on Jake Paul
makes you 90,000 dollars?
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There are two major players,
Kalshi and Polymarket.
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{\an8}They really don't like each other.
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{\an8}Kalshi has just posted
its most lucrative market ever.
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{\an8}Who will win the finals of the World Cup?
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It is shocking
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the extent to which prediction markets
have proliferated.
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Thanks to prediction markets,
you can now bet on basically anything.
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And I mean anything.
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From Taylor Swift's wedding date
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to the chances of an Iran nuclear deal.
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We're gambling on war.
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The longtime teleprompteroperator for the president.
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00:02:01,225 --> 00:02:03,853
{\an8}He's on leave nowfor alleged insider trading.
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00:02:03,936 --> 00:02:06,856
The long-term vision
is to financialize everything.
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This is my life. Me, just, like,
refreshing, refreshing, refreshing.
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00:02:09,984 --> 00:02:14,155
{\an8}This is the hyper-financializationor hyper-gamification
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{\an8}of our entire lives.
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{\an8}- Hussein Obama.
- Yeah!
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00:02:18,576 --> 00:02:23,622
And the whole world unfortunately
has become somewhat of a casino.
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I've been writing
about the prediction markets
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00:02:37,178 --> 00:02:39,763
for almost 25 years now.
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00:02:40,389 --> 00:02:44,226
{\an8}The first real prediction market
that we know of was started
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00:02:44,310 --> 00:02:47,396
{\an8}at the University of Iowa
in the late 1980s.
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They started with a really obvious one.
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00:02:51,192 --> 00:02:55,696
How likely a candidate
was to win a presidential election.
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00:02:55,779 --> 00:03:00,242
You would buy a contract
in Michael Dukakis
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00:03:00,326 --> 00:03:02,328
if you thought Dukakis was going to win.
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00:03:02,411 --> 00:03:06,707
And that market proved
to be exceptionally good,
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really better than almost all polls.
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00:03:09,668 --> 00:03:13,839
And by doing so,
they create this really powerful
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kind of collective forecasting machine
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that taps into what I call
the wisdom of crowds.
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The basic idea of the wisdom of crowds
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is that under the right conditions,
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groups of people
can be remarkably intelligent.
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So, if you can figure out ways to tap into
that wisdom of crowds,
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then you can actually create tools
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that will solve problems
and even in some circumstances,
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and this would be
where prediction markets come in,
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forecast the future.
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This is how it works.
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Every prediction market starts
with a question.
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Let's say,
"Will the US government acknowledge
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00:03:55,965 --> 00:03:59,218
the existence of aliens by 2029?"
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00:03:59,301 --> 00:04:02,429
And that is a real market
in Kalshi right now.
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00:04:02,513 --> 00:04:04,890
So, there are two options. Yes, or no.
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00:04:05,474 --> 00:04:06,600
In a prediction market,
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00:04:06,684 --> 00:04:09,812
there are always two people
trading against each other.
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00:04:09,895 --> 00:04:11,522
So, for you to make this trade,
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00:04:11,605 --> 00:04:15,901
you would buy shares of yes at 25% odds.
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Another person would have to take
the other side of that trade at 75%.
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The price in the market
is always changing
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00:04:24,827 --> 00:04:28,455
{\an8}and that reflects the changing opinions
of the people in the crowd.
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00:04:28,539 --> 00:04:31,667
{\an8}And you can cash out your bet
at any point.
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00:04:31,750 --> 00:04:33,585
When the outcome is known,
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the winner gets 100% of the payout
and the loser gets nothing.
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Kalshi and Polymarket,
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00:04:40,342 --> 00:04:42,803
they make money
by taking a transaction fee.
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00:04:42,886 --> 00:04:45,848
The more people that bet,
the more money they make.
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00:04:49,727 --> 00:04:52,354
{\an8}We've got all of this
enthusiasm over World Cup
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{\an8}and a betting bonanza.
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00:04:53,981 --> 00:04:56,692
{\an8}And Kalshi did more
than five billion bucks
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{\an8}in trading volume this week.
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{\an8}Joining us, Tarek Mansour
is a CEO and co-founder at Kalshi.
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00:05:02,156 --> 00:05:03,324
{\an8}When he left MIT,
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{\an8}he joined really the giants
of Wall Street.
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{\an8}Prediction markets are covering things
that are top of people's minds.
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Things that are very kind of core
and front and center right now.
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And so, sports have been
an amazing propeller.
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I mean, it's massive.
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00:05:21,342 --> 00:05:23,802
I mean, 30 to 40 billion dollars
in volume.
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The growth has been incredible.
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A lot of people watch sports,
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so it's an easy way
to kind of understand what this is
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and get educated
about prediction markets.
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A big chunk of the users
essentially convert to other things
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00:05:34,063 --> 00:05:37,399
like the economy,
politics, weather, culture.
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If you're not making money
watching Love Island,
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you're doing it wrong.
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00:05:40,361 --> 00:05:43,906
You know, it's interesting.
When we started the company, it was 2018.
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00:05:43,989 --> 00:05:45,407
This was a time where, you know,
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you saw the sort of first wave
of misinformation, polarization,
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{\an8}the country being driven to the extremes.
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{\an8}You will not resist us!
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{\an8}Social media
was supposed to be a solution to that,
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{\an8}but it ended up adding fuel to fire.
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I am over it.
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The beauty of prediction markets
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is the incentive structure
is the opposite.
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The incentive structure
in the system is truth.
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It's a truth that's coming
from people with skin in the game.
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And, you know--
And you think about it, right?
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Like, you sit sometimes
at a dinner table at Thanksgiving,
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00:06:18,107 --> 00:06:19,608
and everyone has all these crazy takes.
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And you're like,
"Hey, let's put ten dollars on it."
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00:06:22,528 --> 00:06:24,988
And all of a sudden,
they get a lot more careful, right?
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The person that was so certain
about their belief and their opinion,
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all of a sudden
they're not so sure anymore.
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It's objective. It's mathematical.
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It's statistical in a way that
all the other mechanisms are not.
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And I love math.
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I grew up in Lebanon
with a single mom and I lived, you know--
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The way I describe Lebanon
is a very volatile country.
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In this sort of complex,
constantly evolving dynamic environment,
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I found math to be a refuge.
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And prediction markets
are a bit of an application of that.
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You want the people
that are doing the research.
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You want the people that are like
very "sharp," or well-informed, or smart.
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And imagine if society,
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00:07:01,275 --> 00:07:04,736
we basically tackled a lot
of our big questions by thinking more.
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{\an8}We can think about Spainand climbing Mount Everest.
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But you have to deal with that lot first
and see where you can go.
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Look at the scene here.
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- Another Capri Sun?
- Yeah.
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I just get nervous
and I like drinking Capri Sun.
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{\an8}We're a bunch of people
who bet and trade on sports for a living
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and always trying to make
as much money as possible.
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In terms of placing this bet,
yeah, you know,
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{\an8}you just get probably way too comfortable
with moving around large amounts of money.
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Since prediction markets started offering
sports trading, I've made mid six figures.
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{\an8}I remember not that long ago when…
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{\an8}if Datian lost 100 bucks,
it would be pretty devastating.
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00:07:56,538 --> 00:08:00,626
{\an8}And now I think it would probably
take 30 times to maybe even register.
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00:08:01,418 --> 00:08:03,462
{\an8}And that's worth it to you guys?
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00:08:03,545 --> 00:08:06,757
Making a million dollars
in like two weeks?
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00:08:07,841 --> 00:08:09,092
That seems pretty great to me.
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…and he celebrates like LeBron James.
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- Wait. Belgium just scored.
- Yeah, we fucked-- We missed it.
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The prediction markets are faster
than the streams,
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so Belgium scored
before we actually got to see the goal.
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You've made so much. This is crazy.
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Datian just made
like 50,000 dollars on that goal.
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00:08:27,486 --> 00:08:29,780
Look at him. Doesn't even feel a thing.
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The way it works, you have market makers
and then you have market takers.
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And in the vast majority of cases,
the market makers are sharp or smart,
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and the market takers are not smart
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in the sense
that they are making losing trades.
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I mean, Datian used to work
at Jane Street.
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{\an8}The people at Jane Street are
often described as mathematical.
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{\an8}They're problem solvers
in the most advanced way.
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I mean, yeah, we're all
only able to make money
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00:09:04,731 --> 00:09:07,943
because people smarter than us
haven't entered these markets yet.
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Describe your perfect counterparty.
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00:09:10,654 --> 00:09:14,241
I think it's just, like, someone
who randomly, like, place orders
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00:09:14,324 --> 00:09:15,659
and has, like, zero information.
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00:09:15,742 --> 00:09:17,995
{\an8}Yeah, someone who just
logs in and just wants
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00:09:18,495 --> 00:09:19,997
{\an8}to bet on anything that they see.
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They're not making a sophisticated choice
as to what they're trading.
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00:09:23,542 --> 00:09:27,296
They're just buying or selling
whatever it is that's in front of them.
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It's a fancy way of saying
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that he wants to be
against the 19-year-old
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00:09:31,133 --> 00:09:33,385
who's randomly firing off.
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I'm 19 years old.
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{\an8}I work as a chef and…
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{\an8}I like to bet on Kalshi.
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00:09:49,192 --> 00:09:50,902
…used to scoring really well.
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I think I've always been
a little more impulsive
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and maybe adventurous than,
you know, my peers.
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A lot of my friends I grew up with, like,
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00:10:02,789 --> 00:10:04,875
you know, didn't want to do
crazy things as much.
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00:10:05,834 --> 00:10:07,544
{\an8}Crazy things like what?
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Gamble away all their rent.
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{\an8}- We've been undefeated.
- So Kalshi is the sauce?
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{\an8}Thank you Kalshi.
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{\an8}When the Knicks made the finals,
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{\an8}that's when I would say started the peak
of how much I was putting into the Kalshi.
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I started with 1,000 dollars,
you know, went up and down,
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00:10:29,441 --> 00:10:32,819
and then I borrowed
another 1,100 from my roommate.
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Yeah, and I lost it all, pretty much.
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00:10:37,658 --> 00:10:38,784
Kalshi.
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00:10:38,867 --> 00:10:41,745
I don't understand,but this is going very well.
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Gambling can be incredibly dangerous
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and problematic for a lot of people.
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00:10:48,043 --> 00:10:50,545
It's especially true for young people.
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00:10:50,629 --> 00:10:54,007
I mean, we just saw Timothée Chalamet
on TV saying,
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00:10:54,091 --> 00:10:55,634
{\an8}"Sign up for Kalshi, it's great."
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00:10:55,717 --> 00:10:58,762
{\an8}And one of the things
that is most dangerous, in my opinion is…
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00:10:59,763 --> 00:11:03,392
an influencer saying
how they paid their rent
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00:11:03,475 --> 00:11:06,853
by guessing the weather
or some person on YouTube
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00:11:06,937 --> 00:11:09,481
talking about how easy
it is to get rich quick.
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00:11:11,233 --> 00:11:13,443
The more people you expose to that vice,
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00:11:13,527 --> 00:11:15,821
the more people who are going
to have serious problems.
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00:11:15,904 --> 00:11:19,157
…will be Spain against Belgiumin Los Angeles this Friday.
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00:11:19,783 --> 00:11:22,536
Tonight, I'm lucky.
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00:11:24,079 --> 00:11:28,458
We can see it, the final screen,
which isn't much, you know.
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00:11:28,542 --> 00:11:33,463
Now my portfolio is 300 dollars
and it's pending payout.
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00:11:36,049 --> 00:11:40,137
It has been
the cause of significant stress
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00:11:41,096 --> 00:11:45,851
like I haven't paid my rent for a month
because of this specifically.
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00:11:46,476 --> 00:11:49,688
You know, I can say, "No, it doesn't
have that much of a grip on me,"
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00:11:49,771 --> 00:11:51,148
but clearly it does a little bit.
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00:11:53,984 --> 00:11:58,321
As of right now, I have 57 dollars
in my checking account.
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00:11:58,405 --> 00:12:02,784
{\an8}Did you ever consider
putting limits on your Kalshi account?
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00:12:02,868 --> 00:12:06,079
Yeah, there's a limit
on my Kalshi account.
217
00:12:06,163 --> 00:12:10,876
It's whatever I have
in my checking account is the limit.
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00:12:20,093 --> 00:12:25,557
All right. I'm going
to hit the button in three, two, one.
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00:12:27,350 --> 00:12:28,602
{\an8}My name is Dustin Gouker.
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00:12:28,685 --> 00:12:31,104
{\an8}I'm the host of this podcast,
The Event Horizon.
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00:12:32,731 --> 00:12:35,442
{\an8}We're here to talk this week
about prediction markets.
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00:12:35,942 --> 00:12:37,068
Over the course of the World Cup,
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00:12:37,152 --> 00:12:39,780
Kalshi has had the biggest days
it's had in its history.
224
00:12:39,863 --> 00:12:43,116
I don't think even I had a sense
of how big this would be for Kalshi.
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00:12:44,868 --> 00:12:48,163
{\an8}Prediction markets are the fastest
growing industry this side of AI.
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00:12:48,246 --> 00:12:49,498
{\an8}I have no doubt about it.
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00:12:50,040 --> 00:12:52,250
These companies have
gotten big really fast.
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00:12:52,751 --> 00:12:54,127
Everything is disrupted by this.
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00:12:54,211 --> 00:12:57,088
It's like, it's changed
how we view the world.
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00:12:58,590 --> 00:13:01,968
Polymarket kind of dominated
for the early 2020s.
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00:13:02,052 --> 00:13:03,804
They're crypto native
232
00:13:03,887 --> 00:13:06,932
{\an8}and mostly unregulated
offshore until recently.
233
00:13:07,974 --> 00:13:09,935
{\an8}Kalshi was doing this totally differently.
234
00:13:10,018 --> 00:13:12,938
We spent four years getting regulated
before we launched a single product.
235
00:13:13,021 --> 00:13:14,898
{\an8}We have more than a thousand markets
236
00:13:14,981 --> 00:13:17,192
{\an8}across politics, entertainment, culture.
237
00:13:19,361 --> 00:13:22,322
{\an8}But the billions of dollars
we're hearing are not
238
00:13:22,405 --> 00:13:24,574
on real-world events
that really matter.
239
00:13:26,493 --> 00:13:28,829
Sports are about 85 to 90%
240
00:13:28,912 --> 00:13:31,540
of trading volume at Kalshi
right now as we sit here.
241
00:13:33,041 --> 00:13:34,918
It may not be legally gambling,
242
00:13:35,001 --> 00:13:37,879
but what is happening is
a 100% just gambling.
243
00:13:38,463 --> 00:13:42,509
{\an8}Kentucky's Attorney General is suing
the prediction market platforms.
244
00:13:42,592 --> 00:13:45,762
{\an8}…accusing them of facilitating
illegal sports betting.
245
00:13:45,846 --> 00:13:48,890
{\an8}That's what all
these court cases are about.
246
00:13:48,974 --> 00:13:52,310
Because gambling has always
been the purview of the state.
247
00:13:54,396 --> 00:13:57,232
A year and a half ago now,
Kalshi said, we're going to offer this,
248
00:13:57,315 --> 00:13:59,109
but we're going to do it
under federal law,
249
00:13:59,192 --> 00:14:03,613
no different than other exchanges
where you can buy a stock
250
00:14:03,697 --> 00:14:04,739
or sell a stock.
251
00:14:04,823 --> 00:14:06,241
We don't have
to worry about state laws.
252
00:14:06,324 --> 00:14:08,743
We are legally
under the federal government
253
00:14:08,827 --> 00:14:09,828
and that's it.
254
00:14:09,911 --> 00:14:12,205
{\an8}Whether something feels
and looks like gambling
255
00:14:12,289 --> 00:14:13,748
{\an8}doesn't necessarily make it gambling.
256
00:14:13,832 --> 00:14:16,334
{\an8}Speculation exists
in all financial markets.
257
00:14:16,418 --> 00:14:19,296
There's this patchwork
state-based solution
258
00:14:19,379 --> 00:14:20,964
where every single state is
like some sort
259
00:14:21,047 --> 00:14:22,716
of weird backdoor lobbying.
260
00:14:24,384 --> 00:14:27,596
The CFTC started off
just being very hands-off.
261
00:14:27,679 --> 00:14:30,265
Then we got a new chairman
of the CFTC, Michael Selig,
262
00:14:30,348 --> 00:14:34,728
and they became not just hands-off,
263
00:14:34,811 --> 00:14:36,730
but an active proponent of the industry.
264
00:14:36,813 --> 00:14:38,440
{\an8}Why is he doing that?
265
00:14:40,108 --> 00:14:43,111
I have to say this in a way
that won't get me in trouble. Let's see.
266
00:14:47,699 --> 00:14:49,993
Some people will argue that
it has to do with corruption.
267
00:14:50,076 --> 00:14:52,245
Some people will say
it's just deregulation.
268
00:14:52,329 --> 00:14:53,788
I'm not here to pontificate on that.
269
00:14:54,539 --> 00:14:57,834
It's hard to, like, separate the fact
that Donald Trump Jr.
270
00:14:57,918 --> 00:15:00,503
is an advisor to both Kalshi
and Polymarket.
271
00:15:00,587 --> 00:15:04,049
{\an8}Certainly, the president,
his family has a vested interest
272
00:15:04,132 --> 00:15:05,467
{\an8}in the success of prediction markets.
273
00:15:05,550 --> 00:15:08,303
And we have a CFTC
that is being very friendly now
274
00:15:08,386 --> 00:15:10,013
towards prediction markets.
275
00:15:22,525 --> 00:15:25,820
There's agreements
and walls that are put in place
276
00:15:25,904 --> 00:15:28,239
such that we're not dealing
with any members
277
00:15:28,323 --> 00:15:30,617
of the president's family
when it comes to policy.
278
00:15:31,242 --> 00:15:33,119
We don't engage
with the president's family
279
00:15:33,203 --> 00:15:34,913
{\an8}on any of these types of issues.
280
00:15:36,081 --> 00:15:40,919
{\an8}So in my belief and understanding
there is no sort of conflicts of interest.
281
00:15:42,379 --> 00:15:45,048
The prior administration
didn't like the prediction markets.
282
00:15:45,590 --> 00:15:46,800
I mean, that was very clear.
283
00:15:46,883 --> 00:15:49,386
They sought to ban the product
284
00:15:49,469 --> 00:15:52,472
with respect
to political prediction markets.
285
00:15:53,640 --> 00:15:58,561
{\an8}The courts threw it out
and then we saw the gates open.
286
00:15:58,645 --> 00:16:00,772
Prediction markets
are absolutely exploding.
287
00:16:00,855 --> 00:16:03,650
Events in pop culture and tech
and sports and climate
288
00:16:03,733 --> 00:16:06,861
and the world and literally
anything you can think of.
289
00:16:06,945 --> 00:16:10,156
I've been in the seat
for about six months now
290
00:16:10,240 --> 00:16:13,076
and there's no clear rules
of the road yet,
291
00:16:13,159 --> 00:16:15,745
but we're trying to put those in place
as soon as we can.
292
00:16:15,829 --> 00:16:16,997
{\an8}What's your message then
293
00:16:17,080 --> 00:16:20,208
{\an8}to states who are trying to limit
prediction markets?
294
00:16:20,291 --> 00:16:21,459
{\an8}The law is clear.
295
00:16:22,293 --> 00:16:25,714
The law provides that the CFTC
has exclusive federal
296
00:16:25,797 --> 00:16:27,632
regulatory authority
over these markets
297
00:16:27,716 --> 00:16:28,883
because they are national markets.
298
00:16:29,509 --> 00:16:33,972
To any state that seeks
to circumvent federal regulation
299
00:16:34,055 --> 00:16:36,683
and replace federal law with state law,
300
00:16:37,267 --> 00:16:38,476
we will see you in court.
301
00:16:45,400 --> 00:16:47,485
{\an8}An exclusive interview
is Polymarket founder
302
00:16:47,569 --> 00:16:49,279
{\an8}and CEO Shayne Coplan.
303
00:16:49,362 --> 00:16:51,990
{\an8}…bounced around this sort
of startup tech crypto scene for a while.
304
00:16:52,073 --> 00:16:54,868
{\an8}This NYU dropout crypto bad boy.
305
00:16:54,951 --> 00:16:56,202
{\an8}He's now a billionaire.
306
00:16:57,245 --> 00:16:59,289
I think that when people think
about prediction markets right now,
307
00:16:59,372 --> 00:17:00,790
all they think about is sports.
308
00:17:00,874 --> 00:17:02,459
{\an8}I love sports, but…
309
00:17:03,376 --> 00:17:05,503
{\an8}I didn't start Polymarket
for it to be a sports site.
310
00:17:06,337 --> 00:17:07,464
I found myself in a lucky position.
311
00:17:07,547 --> 00:17:08,840
It was during the pandemic.
312
00:17:08,923 --> 00:17:10,050
I was broke.
313
00:17:10,133 --> 00:17:11,718
I was living in the Lower East Side.
314
00:17:13,344 --> 00:17:15,680
And I was like, when
are things gonna open back up?
315
00:17:15,764 --> 00:17:18,266
When people talk about the vaccine,
when's it gonna be ready?
316
00:17:18,349 --> 00:17:20,143
When's shelter in place gonna be over?
317
00:17:20,226 --> 00:17:21,936
Are things gonna go back to normal?
318
00:17:22,020 --> 00:17:24,230
And I was like, this idea
319
00:17:24,314 --> 00:17:26,316
of information markets is the perfect…
320
00:17:26,399 --> 00:17:28,151
this is the perfect use case
in the perfect moment.
321
00:17:28,234 --> 00:17:33,823
And I think because of a mix
of my nerdy passion of markets
322
00:17:33,907 --> 00:17:35,825
and this sort of like academic literature
323
00:17:35,909 --> 00:17:38,745
about what today we think
of as prediction markets,
324
00:17:38,828 --> 00:17:42,624
plus maybe just enough creativity
325
00:17:42,707 --> 00:17:46,002
and being so broke
that I had nothing to lose.
326
00:17:46,086 --> 00:17:47,962
The triad of that, I was like,
327
00:17:48,046 --> 00:17:49,422
"Screw it, I'm going
to go build this thing."
328
00:17:52,634 --> 00:17:55,678
You know, when Polymarket really
glowed up and became a thing,
329
00:17:55,762 --> 00:17:57,347
it was all about politics.
330
00:17:57,430 --> 00:18:00,350
I think the real watershed moment,
the inflection point,
331
00:18:00,433 --> 00:18:03,645
was during the first debate
between Biden and Trump.
332
00:18:06,147 --> 00:18:07,398
{\an8}With the COVID…
333
00:18:09,400 --> 00:18:11,361
{\an8}When Biden started
stumbling with his words,
334
00:18:12,737 --> 00:18:16,574
the Polymarket
for him dropping out was skyrocketing
335
00:18:16,658 --> 00:18:18,993
and the Polymarket
for him winning was tanking.
336
00:18:19,661 --> 00:18:22,163
And someone said to me,
it was like a really funny quote.
337
00:18:22,247 --> 00:18:25,750
They were like, "Shayne, there's really
two things that can happen here."
338
00:18:27,252 --> 00:18:30,046
"Either he'll drop out and you build one
of the most important sites in the world
339
00:18:30,130 --> 00:18:33,925
or nothing's gonna happen
and you've lost all credibility,
340
00:18:34,008 --> 00:18:36,010
no one's ever gonna take Polymarket
seriously again."
341
00:18:36,094 --> 00:18:39,973
I was like, "Okay." Like, you know…
Like, let's see what happens.
342
00:18:40,056 --> 00:18:43,101
{\an8}We are coming on the air at this hour
with breaking news
343
00:18:43,184 --> 00:18:46,938
{\an8}President Biden has just announced
that he is ending his re-election bid.
344
00:18:47,564 --> 00:18:49,941
{\an8}When he dropped out, that was a moment.
345
00:18:50,024 --> 00:18:52,235
{\an8}Just a stunning announcement from…
346
00:18:52,318 --> 00:18:57,740
{\an8}And then Election Day was
this crazy moment where
347
00:18:57,824 --> 00:19:00,869
the way that the market moved that night
and called Trump winning
348
00:19:00,952 --> 00:19:06,040
when the TV stations were still talking
about, "Oh, it's neck and neck."
349
00:19:06,124 --> 00:19:09,043
{\an8}At the very end, we find a tie nationally,
350
00:19:09,127 --> 00:19:11,754
{\an8}49% for Harris, 49% for Trump.
351
00:19:11,838 --> 00:19:14,382
{\an8}Harris having the slight edge over Trump
352
00:19:14,465 --> 00:19:16,593
{\an8}in the latest national poll, very slight.
353
00:19:16,676 --> 00:19:18,845
{\an8}Polymarket was spot on the entire time.
354
00:19:19,512 --> 00:19:21,890
That was one
of the most gratifying moments ever,
355
00:19:21,973 --> 00:19:24,392
just because the idea worked.
356
00:19:24,475 --> 00:19:25,768
The idea worked.
357
00:19:25,852 --> 00:19:29,814
And from that moment on,
there was the level of credibility
358
00:19:29,898 --> 00:19:31,858
that Polymarket had
and the way people thought about it
359
00:19:31,941 --> 00:19:33,610
had just changed entirely.
360
00:19:39,115 --> 00:19:42,160
So prediction markets
have gotten very popular,
361
00:19:42,243 --> 00:19:45,496
{\an8}but there hasn't been a steady evolution.
362
00:19:47,332 --> 00:19:49,709
Another exotic idea from the Pentagon's
363
00:19:49,792 --> 00:19:53,004
Defense Advanced Research Projects Agency,
364
00:19:53,087 --> 00:19:54,339
DARPA.
365
00:19:54,923 --> 00:19:58,301
{\an8}A futures market, if you will, in terror.
366
00:19:58,384 --> 00:20:01,262
In 2003, the intelligence community
367
00:20:01,346 --> 00:20:04,057
was planning on launching public markets
368
00:20:04,140 --> 00:20:08,686
in geopolitical events
called "the policy analysis market."
369
00:20:08,770 --> 00:20:10,980
It was going to be open to anyone.
370
00:20:11,064 --> 00:20:14,817
{\an8}The hope was that
the collective judgment of that market
371
00:20:14,901 --> 00:20:19,364
would yield some useful information
for the U.S. intelligence community.
372
00:20:19,447 --> 00:20:21,866
What they mostly wanted
to forecast were things
373
00:20:21,950 --> 00:20:26,496
like the political stability of regimes
or what was going to happen
374
00:20:26,579 --> 00:20:29,791
to oil in upcoming years.
375
00:20:30,667 --> 00:20:35,171
But when they went to work
and kind of advertised the market,
376
00:20:35,255 --> 00:20:37,423
they also talked about things like,
377
00:20:37,507 --> 00:20:40,677
whether or not there would be
a missile attack from North Korea
378
00:20:40,760 --> 00:20:43,680
or betting on assassinations.
379
00:20:44,180 --> 00:20:46,933
There was this just
massive backlash against it.
380
00:20:47,016 --> 00:20:51,062
{\an8}The federal government
is encouraging people to bet on
381
00:20:51,145 --> 00:20:55,817
{\an8}and make money from atrocities
and terrorist attacks.
382
00:20:55,900 --> 00:20:58,820
You're gonna make money
if terrible things happen.
383
00:20:58,903 --> 00:21:01,906
Why are we potentially creating
an incentive for people to,
384
00:21:01,990 --> 00:21:03,616
like, go out and try an assassination?
385
00:21:03,700 --> 00:21:06,160
{\an8}It is a tragic waste of taxpayers' money.
386
00:21:06,244 --> 00:21:09,289
{\an8}It will be offensive to almost everyone.
Can you imagine…
387
00:21:09,372 --> 00:21:12,875
{\an8}And the amazing thing is, as soon as
there was any pressure, they folded.
388
00:21:12,959 --> 00:21:15,503
I mean, the whole thing
was over within, like, two days.
389
00:21:15,586 --> 00:21:18,631
I think the main thing
that has changed, honestly,
390
00:21:18,715 --> 00:21:21,926
is that we are just much
more comfortable with gambling
391
00:21:22,010 --> 00:21:23,803
than we were 20 years ago.
392
00:21:24,804 --> 00:21:28,224
So when you give people the chance to bet
on pretty much anything,
393
00:21:28,308 --> 00:21:30,393
it gets complicated really fast.
394
00:21:30,476 --> 00:21:34,564
And it seems like there
are three big issues,
395
00:21:34,647 --> 00:21:37,191
let's call them
the "Dark Side of Prediction Markets."
396
00:21:37,275 --> 00:21:39,694
The first one is insider trading.
397
00:21:39,777 --> 00:21:43,823
{\an8}A U.S. Special Forces soldier
who helped to plan the January capture
398
00:21:43,906 --> 00:21:47,285
{\an8}of Venezuelan President Nicolás Maduro
has been indicted.
399
00:21:47,368 --> 00:21:48,953
{\an8}Now pleading not guilty.
400
00:21:49,037 --> 00:21:51,956
{\an8}Authorities say he won
more than 400,000 dollars
401
00:21:52,040 --> 00:21:54,584
{\an8}using classified information
to win on Polymarket.
402
00:21:54,667 --> 00:21:57,211
{\an8}Polymarket saysit referred the suspicious bets
403
00:21:57,295 --> 00:21:58,379
{\an8}to the Department of Justice.
404
00:21:58,463 --> 00:22:01,090
The second problem
is the problem of people
405
00:22:01,174 --> 00:22:04,260
gaming the things that are used
to measure the outcomes.
406
00:22:04,761 --> 00:22:06,971
{\an8}This involves tampered weather data.
407
00:22:07,055 --> 00:22:10,683
{\an8}France's national forecaster
has filed a police complaint
408
00:22:10,767 --> 00:22:13,311
after detecting
suspicious temperature spikes
409
00:22:13,394 --> 00:22:14,729
at Paris' Charles de Gaulle airport.
410
00:22:14,812 --> 00:22:18,941
{\an8}Somehow the equipment was tampered with,
maybe a lighter, maybe a hairdryer,
411
00:22:19,025 --> 00:22:22,028
{\an8}to give this five-degree Celsius spike
in the reading.
412
00:22:22,111 --> 00:22:24,405
Third, and I think
by far the most consequential,
413
00:22:24,489 --> 00:22:28,326
is when the existence
of a prediction market,
414
00:22:28,868 --> 00:22:31,954
actually changes what people do.
415
00:22:32,705 --> 00:22:33,956
There was a Kalshi market
416
00:22:34,040 --> 00:22:36,918
on whether or not
George Santos would show up
417
00:22:37,001 --> 00:22:38,878
at the State of the Union address.
418
00:22:38,961 --> 00:22:41,214
I'm going to be there
for the State of the Union
419
00:22:41,297 --> 00:22:42,882
in the gallery, guys.
420
00:22:42,965 --> 00:22:48,513
Santos had reportedly made a bet on Kalshi
on the "no" side of the contract.
421
00:22:48,596 --> 00:22:50,264
That is, he would not show up.
422
00:22:50,348 --> 00:22:53,184
During the address,he posted, "Watching State of the Union
423
00:22:53,267 --> 00:22:55,895
from an airport TVwas not part of the plan."
424
00:22:55,978 --> 00:22:58,314
By skipping the speech,sources say he pocketed
425
00:22:58,398 --> 00:23:00,108
tens of thousands of dollars.
426
00:23:00,650 --> 00:23:02,819
I do think going forward,
they're just gonna have to figure out
427
00:23:02,902 --> 00:23:03,903
how to manage this.
428
00:23:12,203 --> 00:23:16,374
All right, so where are we
on requesting materials
429
00:23:16,457 --> 00:23:19,085
from the traders in Georgia?
430
00:23:20,169 --> 00:23:22,130
He keeps spamming our inbox.
431
00:23:22,839 --> 00:23:24,257
{\an8}Because the account is frozen?
432
00:23:25,383 --> 00:23:26,384
{\an8}Yeah, yeah.
433
00:23:26,467 --> 00:23:28,636
{\an8}I suspect that that person's
just nervous also
434
00:23:28,719 --> 00:23:31,097
{\an8}that there's an inquiry
into their activity.
435
00:23:33,558 --> 00:23:37,061
{\an8}Any regulated financial institution
is going to face
436
00:23:37,145 --> 00:23:40,022
{\an8}people who come to commit financial crime,
437
00:23:40,106 --> 00:23:42,400
{\an8}whether it's money laundering,
whether it's insider trading,
438
00:23:42,483 --> 00:23:44,277
{\an8}market manipulation, etc.
439
00:23:45,319 --> 00:23:48,448
So I lead our investigations
and the enforcement actions
440
00:23:48,531 --> 00:23:50,199
that we undertake.
441
00:23:50,283 --> 00:23:53,578
Our team's grown quite a bit
in the last year.
442
00:23:53,661 --> 00:23:56,581
We have about 15 to 20 employees,
443
00:23:56,664 --> 00:23:59,000
individuals who are just focused
on surveillance.
444
00:23:59,083 --> 00:24:01,252
We have individuals
who are surveilling for fraud,
445
00:24:01,794 --> 00:24:03,421
and then also a legal team.
446
00:24:03,504 --> 00:24:06,048
We've hired surveillance analysts
from the FBI.
447
00:24:06,674 --> 00:24:08,801
We have people
with backgrounds at the CFTC
448
00:24:08,885 --> 00:24:10,470
and the Department of Justice.
449
00:24:10,553 --> 00:24:15,057
There's been a significant increase
in our investigative and referral efforts
450
00:24:15,141 --> 00:24:19,145
over the last six months in particular,
just as the exchange has grown.
451
00:24:19,228 --> 00:24:23,107
Our surveillance algorithms
are running over every single trade
452
00:24:23,191 --> 00:24:24,192
happening on the exchange.
453
00:24:24,275 --> 00:24:26,986
When they demonstrate
some anomalous behavior,
454
00:24:27,069 --> 00:24:31,908
whether that's a very well-timed trade,
a pattern of very well-timed trades,
455
00:24:31,991 --> 00:24:35,995
a very significant price jump
that occurs right after an unusual trade,
456
00:24:36,078 --> 00:24:39,332
all those things might trigger
a trade that comes across my desk
457
00:24:39,415 --> 00:24:41,042
or the surveillance team's desk.
458
00:24:41,709 --> 00:24:42,585
So, then…
459
00:24:42,668 --> 00:24:47,381
There's probably a 100, 150 each quarter
that are meaningful investigations
460
00:24:47,465 --> 00:24:50,968
that may lead to some finding
of wrongdoing or disciplinary action.
461
00:24:51,052 --> 00:24:54,555
And we've made dozens of referrals
to law enforcement.
462
00:24:55,556 --> 00:24:58,518
Any new product or evolution in technology
463
00:24:58,601 --> 00:25:02,813
leads to really smart bad actors
figuring out how to game that system.
464
00:25:03,314 --> 00:25:07,568
And the key is to try to stay
one or five steps
465
00:25:07,652 --> 00:25:09,487
in front of them at all times.
466
00:25:09,570 --> 00:25:11,697
You won't always succeed at that.
467
00:25:17,870 --> 00:25:20,540
This is one of the big things
that I spoiled myself with.
468
00:25:21,332 --> 00:25:24,210
This is paid for by prediction markets.
469
00:25:24,835 --> 00:25:26,254
With the press of a button,
470
00:25:26,337 --> 00:25:32,385
you can go from a sunlit room
to what becomes total darkness.
471
00:25:35,012 --> 00:25:36,764
{\an8}Brought to me 100% by Kalshi.
472
00:25:36,847 --> 00:25:41,102
My wife would not let me spend this money
if it wasn't just like bonus money.
473
00:25:41,185 --> 00:25:43,187
{\an8}Back in March of 2024,
474
00:25:43,271 --> 00:25:46,649
{\an8}Kalshi really started to hit
the culture markets hard.
475
00:25:46,732 --> 00:25:49,151
In theory, their music and movie markets,
476
00:25:49,235 --> 00:25:51,153
the way that you win 'em is by using math.
477
00:25:51,237 --> 00:25:55,157
So, I turned, you know,
a 10,000 dollar deposit
478
00:25:55,241 --> 00:25:59,537
into over 200,000 dollars
in about six or seven months.
479
00:25:59,620 --> 00:26:02,623
The most common plays
that I would do on Spotify
480
00:26:02,707 --> 00:26:05,501
is who will get number one
during a given month.
481
00:26:06,711 --> 00:26:08,379
June 28th…
482
00:26:08,921 --> 00:26:10,840
Talk to me, talk to me
483
00:26:10,923 --> 00:26:13,342
…I noticed some weird pricing
on Olivia Dean.
484
00:26:13,426 --> 00:26:16,971
Somebody thought that there was
a more than 11% chance
485
00:26:17,054 --> 00:26:18,889
Olivia Dean was going to get first.
486
00:26:20,016 --> 00:26:22,727
And I thought the true odds
of Olivia Dean getting first place
487
00:26:22,810 --> 00:26:24,645
naturally was zero.
488
00:26:24,729 --> 00:26:26,272
This was an old song.
489
00:26:26,355 --> 00:26:29,775
When I dug into the details,
I was very concerned.
490
00:26:30,526 --> 00:26:33,946
The data that I was looking at
is the top 200 songs.
491
00:26:34,488 --> 00:26:36,407
Most of 'em saw a drop.
492
00:26:36,490 --> 00:26:39,201
Two of them were newer songs,
like newer small songs.
493
00:26:39,285 --> 00:26:41,329
It's not unusual for those to go up,
494
00:26:41,412 --> 00:26:46,125
but for a well-established song
to go up almost 20%
495
00:26:46,208 --> 00:26:48,127
like this Drake song did,
496
00:26:48,210 --> 00:26:51,464
or 7% like this Olivia Dean song did,
497
00:26:52,048 --> 00:26:55,801
this is a very strong sign
that fraud was happening.
498
00:26:56,469 --> 00:27:00,348
In theory, somebody is stream botting
or stream boosting.
499
00:27:00,431 --> 00:27:05,394
It's just artificial,
automated ways of "listening to music"
500
00:27:05,478 --> 00:27:07,063
where nobody's really listening to it.
501
00:27:07,146 --> 00:27:08,814
They're just trying to run up the numbers.
502
00:27:08,898 --> 00:27:13,653
So, at this point, I had 17,000 dollars
that Drake wouldn't get first place,
503
00:27:13,736 --> 00:27:15,237
and I had 13,000 dollars
504
00:27:15,321 --> 00:27:17,782
that Olivia Dean
wouldn't get first place.
505
00:27:17,865 --> 00:27:18,991
And I was quite worried.
506
00:27:19,784 --> 00:27:23,037
So, I started sending emails.
I emailed Kalshi.
507
00:27:24,413 --> 00:27:28,209
I emailed Spotify
saying I was completely convinced
508
00:27:28,292 --> 00:27:32,171
that the Drake and Olivia Dean streams
were being botted,
509
00:27:32,254 --> 00:27:35,132
but they didn't seem
to take it very seriously.
510
00:27:40,137 --> 00:27:45,518
Then the results come out,
and I look at who's in first place,
511
00:27:45,601 --> 00:27:46,977
and it wasn't Olivia Dean.
512
00:27:47,812 --> 00:27:49,188
And it wasn't Drake.
513
00:27:51,482 --> 00:27:52,566
It was Malcolm Todd.
514
00:27:56,570 --> 00:27:59,031
Like, what? That makes no sense.
515
00:27:59,115 --> 00:28:02,827
Malcolm Todd wasn't even on the radar
as a possibility.
516
00:28:03,452 --> 00:28:07,164
And if you look at this chart,
you can see, boom,
517
00:28:07,248 --> 00:28:09,125
just this huge spike.
518
00:28:09,834 --> 00:28:13,546
So, his streams went up by 70%
in a single day.
519
00:28:14,422 --> 00:28:17,174
And then they paid it out,
and then I was pissed.
520
00:28:20,302 --> 00:28:22,263
Spotify removed the streams.
521
00:28:24,014 --> 00:28:26,600
And they admitted
that they were fraudulent.
522
00:28:27,643 --> 00:28:31,021
But then in seeing how Kalshi handled it,
523
00:28:31,105 --> 00:28:35,359
how they just stopped replying,
I liquidated my Kalshi account.
524
00:28:35,443 --> 00:28:39,196
So, I withdrew maybe 220,000 dollars?
525
00:28:39,280 --> 00:28:40,614
Dad!
526
00:28:41,365 --> 00:28:44,076
There are individuals
who take a look at something and say,
527
00:28:44,160 --> 00:28:46,454
I can conclude this is bots
and it's manipulation,
528
00:28:46,537 --> 00:28:48,289
and they may very well be right.
529
00:28:48,372 --> 00:28:49,999
{\an8}But from a legal perspective,
530
00:28:50,082 --> 00:28:52,418
{\an8}you need evidence
to make that determination.
531
00:28:52,501 --> 00:28:56,297
{\an8}You can't just say it looks like a duck
and it quacks like a duck so it is.
532
00:28:56,380 --> 00:28:58,299
We're gathering the evidence
we would need
533
00:28:58,382 --> 00:28:59,508
to make that determination,
534
00:28:59,592 --> 00:29:02,136
but that's pretty much the most
that I can comment on
535
00:29:02,219 --> 00:29:03,846
in terms of specifics about that.
536
00:29:04,513 --> 00:29:05,765
Okay, Patricio.
537
00:29:05,848 --> 00:29:07,975
It's kind of the Wild West right now.
538
00:29:08,058 --> 00:29:11,687
Regulation has not caught up
to what these markets are doing at all.
539
00:29:13,105 --> 00:29:17,568
And as long as it's the platforms
basically policing themselves,
540
00:29:17,651 --> 00:29:20,780
they're going to grow
as much as they possibly can…
541
00:29:20,863 --> 00:29:21,989
Gonna go and get a goal!
542
00:29:22,072 --> 00:29:24,492
…offer as many markets
as they possibly can,
543
00:29:24,575 --> 00:29:27,036
and consequences be damned.
544
00:29:34,919 --> 00:29:38,756
It is day 11 of the US-Israelwar with Iran.
545
00:29:38,839 --> 00:29:40,800
The strikes lighting up the night sky
546
00:29:40,883 --> 00:29:43,552
and sending people rushing to shelter.
547
00:29:47,807 --> 00:29:49,642
{\an8}My name is Emanuel Fabian.
548
00:29:50,309 --> 00:29:52,269
I've been working for The Times of Israel
549
00:29:52,353 --> 00:29:54,230
for around six years now.
550
00:29:55,648 --> 00:29:58,734
{\an8}I basically cover everything
related to the Israeli military.
551
00:29:59,652 --> 00:30:02,947
I'm at this point covering
the Iranian attacks on Israel
552
00:30:03,030 --> 00:30:05,241
and Israel's attacks on Iran.
553
00:30:06,492 --> 00:30:10,204
On March 10th, there was, you know,
one of several missiles that day,
554
00:30:11,163 --> 00:30:15,668
which struck outside the city
of Beit Shemesh near Jerusalem.
555
00:30:17,211 --> 00:30:19,797
They reported there was
no injuries, no damage.
556
00:30:20,673 --> 00:30:22,800
There wasn't anything particularly unusual
557
00:30:22,883 --> 00:30:25,886
in the grand scheme of things of this war.
558
00:30:27,429 --> 00:30:29,932
Much later that day,
I get kind of an unusual email,
559
00:30:30,015 --> 00:30:32,852
essentially asking me
to change my earlier reporting.
560
00:30:32,935 --> 00:30:36,730
And they were claiming that the missile
that struck was fragments
561
00:30:36,814 --> 00:30:39,525
that were following an interception
of a missile.
562
00:30:41,235 --> 00:30:42,653
And I respond to them and said,
563
00:30:42,736 --> 00:30:46,615
"Look, residents told me
that they felt a massive explosion
564
00:30:46,699 --> 00:30:48,325
and a shockwave
that shook all their windows."
565
00:30:48,826 --> 00:30:52,329
And the army also confirmed to me that
it was a missile that struck the area.
566
00:30:55,374 --> 00:30:59,169
And then I started getting
a barrage of messages.
567
00:31:02,131 --> 00:31:06,927
They wrote here, "If you do not
correct this by 1:00 a.m. Israel time,
568
00:31:07,011 --> 00:31:10,639
you are brining upon yourself damage
you have never imagined you would suffer."
569
00:31:10,723 --> 00:31:13,183
"You make us lose 900,000 dollars,
570
00:31:13,267 --> 00:31:15,853
we will invest no less than that
to finish you."
571
00:31:17,646 --> 00:31:21,442
It was scary at that point.
I'm married. I have a young daughter.
572
00:31:22,192 --> 00:31:25,404
I didn't know what this person
was actually capable of.
573
00:31:26,280 --> 00:31:30,200
At that point, it was very clear to me
that it was bets on Polymarket.
574
00:31:31,368 --> 00:31:32,870
Essentially, the bet was,
575
00:31:32,953 --> 00:31:36,123
"Did Iran strike Israel
on a specific date?"
576
00:31:36,206 --> 00:31:37,666
You can see that the amount of money
577
00:31:37,750 --> 00:31:41,837
that was bet here reached
23 million dollars.
578
00:31:42,796 --> 00:31:46,050
Those who had voted "no"
were the ones trying to convince me
579
00:31:46,133 --> 00:31:48,761
to change my report
and to say that it was intercepted.
580
00:31:49,470 --> 00:31:51,305
But I was not going to change the story
581
00:31:51,388 --> 00:31:52,973
and it was going to stay
exactly how it is.
582
00:31:54,475 --> 00:31:56,894
It wouldn't surprise me
if there are many more cases.
583
00:31:57,686 --> 00:32:00,481
Journalists being threatened
to change their reporting,
584
00:32:00,564 --> 00:32:02,483
I don't think I'll be the last.
585
00:32:27,633 --> 00:32:30,386
{\an8}Prediction markets are a cesspool.
586
00:32:30,469 --> 00:32:35,099
{\an8}Even if it is legal, right,
is there something immoral
587
00:32:35,182 --> 00:32:37,559
{\an8}or ethically questionable
here about betting
588
00:32:37,643 --> 00:32:41,772
{\an8}on geopolitical events
when lives are potentially at stake?
589
00:32:41,855 --> 00:32:45,067
{\an8}We haven't done a good enough job
in terms of, you know,
590
00:32:45,150 --> 00:32:47,236
{\an8}distilling why we do what we do.
591
00:32:47,319 --> 00:32:52,408
I know that we are probably
in some, like, vibe debt, maybe,
592
00:32:52,908 --> 00:32:54,868
in terms of just how people kind of
593
00:32:54,952 --> 00:32:57,621
group Polymarket in
with a lot of other stuff.
594
00:32:57,705 --> 00:33:00,791
{\an8}It's the latest allegation
of insider trading on prediction markets.
595
00:33:00,874 --> 00:33:03,419
{\an8}Someone opened an account
on Polymarket
596
00:33:03,502 --> 00:33:04,920
{\an8}and now they can make over a million.
597
00:33:05,004 --> 00:33:07,464
{\an8}What are your thoughts on this?
This is just another coinky-dink.
598
00:33:07,548 --> 00:33:09,967
{\an8}Kalshi is proven itself
over the last few months.
599
00:33:10,050 --> 00:33:11,969
We are applying these rules
no matter who it is.
600
00:33:12,052 --> 00:33:14,471
{\an8}If somebody is going to try to cheat,
we will catch them.
601
00:33:15,180 --> 00:33:18,308
{\an8}It's not some sort of offshore thing
where it's done in the shadows.
602
00:33:18,392 --> 00:33:21,562
It's done right here in the middle
of our financial system.
603
00:33:25,482 --> 00:33:28,819
{\an8}I know what happens in this office.
I know the conversation we have.
604
00:33:28,902 --> 00:33:30,446
I know what I care about
and what drives me.
605
00:33:30,529 --> 00:33:35,159
And you have to kind of oscillate
between cutting out the noise,
606
00:33:35,242 --> 00:33:38,412
but also understanding
people's criticism and concerns.
607
00:33:38,495 --> 00:33:41,707
Maybe there's things that you missed
that other people are flagging.
608
00:33:41,790 --> 00:33:44,460
And maybe they hate you, but maybe
they're actually making some good points.
609
00:33:44,543 --> 00:33:46,420
This is inherently evil and bad.
610
00:33:46,503 --> 00:33:48,172
Do you think Kenzie's gonna do
the splits on Love Island?
611
00:33:48,255 --> 00:33:49,631
It feels nihilistic, right?
612
00:33:49,715 --> 00:33:52,718
It feels like,
why are we betting on everything?
613
00:33:52,801 --> 00:33:55,512
There's a place for prediction markets.
I think they should definitely exist.
614
00:33:55,596 --> 00:33:56,847
I think they have values.
615
00:33:56,930 --> 00:34:00,184
I just think there needs to be
more guardrails,
616
00:34:00,267 --> 00:34:02,436
more thought put
into how this industry
617
00:34:02,519 --> 00:34:05,439
- has come about and where it's headed.
- Come on!
618
00:34:05,522 --> 00:34:08,025
Right now it feels like
all gas, no brakes.
619
00:34:08,108 --> 00:34:11,862
When this is everywhere and you have
a completely gamblified world…
620
00:34:13,405 --> 00:34:16,200
people are not going to integrate it
healthily into their lives.
621
00:34:16,283 --> 00:34:18,160
And I'm as guilty of that as anybody.
622
00:34:19,953 --> 00:34:22,206
I'm kind of just letting it ride.
623
00:34:22,289 --> 00:34:24,500
When everything's a market,
624
00:34:24,583 --> 00:34:28,170
the opportunities for cheating
are basically endless.
625
00:34:28,712 --> 00:34:31,924
That's a reality that we're
going to be facing now.
626
00:34:32,007 --> 00:34:35,385
And it's going to be much
more difficult to sort of
627
00:34:35,469 --> 00:34:37,096
find what's true now.
628
00:34:37,179 --> 00:34:38,847
And that, I think, really worries me.
629
00:34:39,723 --> 00:34:42,184
With a couple of months
to go until the midterms,
630
00:34:42,267 --> 00:34:46,313
we've already seen volume
that's far exceeded 2024.
631
00:34:48,565 --> 00:34:50,984
What I'm most interested in about them
632
00:34:51,068 --> 00:34:55,447
is their usefulness
for forecasting the future.
633
00:34:55,531 --> 00:34:59,076
And these midterms are going
to generate a lot of interest
634
00:34:59,159 --> 00:35:01,537
because there's a lot at stake in them.
635
00:35:01,620 --> 00:35:03,914
And so in that way, this is kind of
636
00:35:03,997 --> 00:35:06,375
one of the bigger tests
of prediction markets.
637
00:35:08,335 --> 00:35:10,796
I think prediction markets
have definitely hit critical mass.
638
00:35:10,879 --> 00:35:13,590
The growth in the prediction market
has been so fast because they work.
639
00:35:14,633 --> 00:35:17,469
We're putting the prediction markets data
next to the news, next to polls,
640
00:35:17,553 --> 00:35:20,305
next to everything else,
so people can look at everything
641
00:35:20,389 --> 00:35:22,057
and make their own
independent assessment.
642
00:35:22,141 --> 00:35:25,310
I think that it's inevitable
that everyone will be
643
00:35:25,394 --> 00:35:27,604
looking at it to kind of understand
what will happen.
644
00:35:27,688 --> 00:35:29,231
The only thing that you have to believe…
645
00:35:29,731 --> 00:35:31,733
to believe that prediction markets
are going to keep growing the way
646
00:35:31,817 --> 00:35:35,487
they've been growing, is that there's
going to be interesting news in the world.
647
00:35:35,571 --> 00:35:37,614
I feel like there's
so much work left to be done
648
00:35:37,698 --> 00:35:39,825
in terms of the inventive side
of prediction markets
649
00:35:39,908 --> 00:35:42,119
and what could be that isn't yet.
650
00:35:42,202 --> 00:35:44,163
We're very committed to this vision
because we think it's one
651
00:35:44,246 --> 00:35:45,873
of the most important things
we could be working on.
652
00:35:45,956 --> 00:35:48,834
And I feel like
if I don't go and invent that
653
00:35:48,917 --> 00:35:50,794
or realize that vision,
it probably won't happen.
57393
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