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Hi, welcome to Epicenter Bitcoin, the show which talks about the technologies,
projects

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and startups driving decentralization and the global cryptocurrency revolution.

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My name is Siva Sankuchil and today we're doing things a little different.

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It's been nearly two years that Brian and I have been producing Epicenter Bitcoin
together

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and we're very pleased to bring on a new host, a new guest host to the team, who
we'll introduce

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in just a minute.

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But first, I'd like to take a brief moment to explain how we got here.

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So when we first started doing Epicenter back in late 2013, you know, it was a side
project.

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I was working a full-time job in a digital agency.

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Brian was looking to get involved more into Bitcoin after starting the Bitcoin
Startups

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Berlin Meetup group.

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And back then we did everything ourselves.

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We did our social media strategy ourselves.

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We did production ourselves.

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We did the editing ourselves and it showed because things were really, I mean, when
I

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look at them now, pretty bad quality.

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And at some point we realized that if we wanted to do things right, if we wanted to
really

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take the show forward and bring a quality product and quality content to our
listeners

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that we would need help.

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And at that point we started to build a team and we brought in some new team
members.

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So Vedran, our audio engineer, Connie, our production and social media manager, and
recently

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Sheenaj, who joined us as our cover designer, and we've been getting a lot of great
feedback

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on our covers.

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And also Sean Jones, who regularly enlightens us on regulation.

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And now it may be a surprise to some of you that, well, Brian and I don't live off
of

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Epicenter Bitcoin.

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It's not our full-time job.

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Although we do have advertising, we use that to pay for production.

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And Brian recently joined Aeris Industries as head of business development.

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And I'm a full-time independent digital consultant and that takes time.

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And recently it became obvious to us that it would be difficult to keep doing the
show

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and keep the same level of quality and keep consistently putting out episodes every
week

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without some help.

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So we sought out to find a third host and pretty quickly we converged on one person

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and someone that we both respected, that we had spoken to before, heard about, heard
on

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podcasts before, and that we knew would bring a high level of understanding and
really critical

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thinking to the topics we cover.

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So I'm really thrilled to introduce our third co-host today, Mehr Roy, who is going
to be

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joining us regularly on episodes.

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And today is the first time that he's joining us.

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So Mehr, welcome to the team.

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Thanks a lot, Sebastian, for the introduction.

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For the listeners, hi, I'm Mehr.

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I am a biochemical engineer by education and I work at a pharmaceutical company
called

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Novartis.

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I discovered Bitcoin two years ago and it changed my life.

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I started digging into Bitcoin more and more and it consumed my life to the point
that

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I spend all of my free time now searching through technologies related to Bitcoin.

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I want to take the cryptocurrency revolution forward and being part of Epicenter
Bitcoin

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is important to me because I learned a lot through the show and I hope I can help
other

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people learn more about the decentralized technology revolution.

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Thank you.

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Well, you know, we're certainly really happy to have you on.

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So the way this is going to work is sometimes Mehr and I will be doing episodes and
sometimes

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it'll be Mehr and Brian and sometimes it'll be Brian and I and who knows, sometimes
we

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can have like podcast parties and just be all three of us and kind of shoot the shit

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about what's going on in the Bitcoin world.

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Yeah.

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That would be great.

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It's going to be cool.

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I think it's an important step in the life of Epicenter and I think you'll be a
great

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addition to the team.

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So without further ado, we'd like to now introduce our guest.

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Today's guest is Paul Sztorc.

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And so Paul is the chief scientist at Truthcoin.

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He's an economics researcher at Yale University and he writes quite extensively.

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And I say that without any hesitation about Bitcoin, crypto economics, prediction
markets

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and all kinds of important and interesting things on the Truthcoin blog,
Truthcoin.info.

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And he's here to tell us today about prediction markets and, you know, the
mechanisms behind

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predictions markets, how they work and specifically Truthcoin.

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So Paul, thanks so much for joining us today.

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Thanks so much for having me.

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So let's get started and, you know, dive into this idea of a prediction market.

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I mean, we've talked about prediction markets before on the show quite a while back,
actually,

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and also dove into oracles.

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And, you know, Truthcoin is one of those projects that I think sort of people in the

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Bitcoin space, you know, they know about it, they've heard about it, but it's not
necessarily

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the project that gets the most attention when people talk about prediction markets.

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People have an idea, I think, of what prediction markets are.

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But, you know, what we really want to do today is bring a higher level of
understanding of

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what is a prediction market and how a decentralized prediction market is different
from sort of

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traditional ones.

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So can you give us a brief overview of what a prediction market is?

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Yeah, absolutely.

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I'd be happy to do that.

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So yeah, I think you're right.

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A lot of people know about the project.

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It suffers a little bit because of the name, the Truthcoin name.

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So people are kind of, they feel uncomfortable.

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They think it's an altcoin and they feel uncomfortable maybe talking about it, but a
lot of people

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know about it and will be renaming it.

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So you'll get like, you'll be happy to have it on a shirt, the new name at some
point,

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but you know, it's not quite important while it's still being totally fleshed out
among

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like the technical experts who are reviewing it.

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But yeah, so a prediction market is basically a market for buying and selling
predictions,

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just like you can buy and sell anything you want, you know, orange juice or milk.

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You can buy all kinds of stocks, bonds, and this is for buying and selling
predictions.

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And it used to have probably a better name, which was called event derivatives.

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So like some event would happen and then this thing would pay out cash.

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So that's maybe a little easier to understand.

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I'm not sure.

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The concept is a little foreign to people, but just as you can go on the stock
market

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and buy stocks, you can go on the bond market and buy bonds, or you can go to the
supermarket

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and buy food.

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This is just another thing for ideas.

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It was also called idea futures.

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So these different names maybe will help people understand, I don't know.

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But yeah, event derivatives in finance, idea futures, they were called in academia a
long

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time ago.

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So futures are of course a contract, a piece of paper that entitles you to money in
the

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future based on something that happens.

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So if there are idea futures, they would be on sort of these concepts.

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Can I simplify it by saying that a prediction market is basically something where
you can

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spend half a dollar and gain a dollar if a particular event comes to pass?

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Like let's say the market is for whether Hillary Clinton becomes the president of
the United

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States in 2016.

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And a prediction market is a construct that will allow me to go and spend a half a
dollar

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to buy a prediction.

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And if she does become the president, then I get back one dollar.

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If she doesn't become the president, then I'd lose the half a dollar I put in the
market.

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Would that be accurate?

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Yes.

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So examples are very helpful.

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So that's a very good example.

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I would say, you know, people compare them to betting, but I think that's actually
more

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confusing to people because just about everything is a bet.

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And what you've described, it's half a dollar to a dollar.

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So the transformation, if you're correct.

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And in this, this is an actual market environment where market forces will move that
price around.

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So the contract is fundamentally a piece of paper that is worth one dollar if
Hillary

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Clinton is elected.

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And so the question is, what's that piece of paper worth?

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The piece of paper is worth a dollar if Hillary Clinton is elected, but if people
are trading

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it around themselves today at 40 cents or 30 cents, then you know she's probably not

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likely to be elected, right?

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So why is this thing trading for like 12 cents, 7 cents, 3 cents?

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You know, if people are buying a piece of paper, it's going to be worth a dollar if

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she's elected, but it can only command 3 cents.

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What does that say?

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It implies this unanimous expectation that she will not be elected, which is totally

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different from the way people talk about elections today.

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There's no, you know, it's all about who can go over the top.

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You know, Karl Rove, the last election, he was still trying to, even after every
place

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had called it, he was still trying to convince people that Mitt Romney still had a
chance

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in the United States.

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And that was like, so it's completely non-unanimous in conversations about politics
today.

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But in a market environment, everything is unanimous because anyone can move the
price.

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So if someone disagrees with the current market price, there's expected value for
them.

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You know, they can form some kind of a team or a hedge fund or something, or sell
that

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information that they have to someone else.

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And so it's a very different way of doing things.

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And I would say that it's a little confusing to imply that the price has to be 50
cents

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though, because the price can be anything.

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So yeah, I may start at 50 cents, but these, yeah, you have these markets where
things

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can either happen or not happen and you get money as a result of whether or not they
do.

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So that's in a nutshell, that's how it works.

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So how does that then, I mean, so what does that say about the sort of power of
group?

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Yeah, the wisdom of crowds.

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Yeah.

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What does that say about the wisdom of crowds then?

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Yeah.

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So this is not, yeah, so the cool thing is that what this market does is anyone can
update

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the price.

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So you only get the updates.

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So this takes a crowd, and a crowd, you know, many times a crowd, I mean, think
about all

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the knowledge in a vast group of people, it's immense knowledge, very useful.

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But the problem is that there's too much noise.

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So a conversation wouldn't really scale, right?

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You'd have to talk to every single person, compare everything they said to itself,
and

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then you'd have to report back, and then meanwhile everyone else would have to do
that,

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and then they'd all have to compare these reports, and they would, you know, a
conversation

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is a very difficult way.

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You can't have a conversation with, for example, 100 million voters in the United
States, it's

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not going to happen.

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And yet, there's lots of important information, right?

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There's all these people who know lots of stuff, very savvy people with a lot of
experience

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in politics, you know, professors and mathematicians and people who are kind of like
good at telling

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who's lying, and there's all this vast information locked up.

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The cool thing about markets is that you only get the updates.

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So you get all the signal, but you really don't get, you get almost none of the
noise.

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So these markets can very quickly extract all of the important information from a
crowd,

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because if people agree with something, they just don't trade.

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So there's an implicit agreement by everyone who doesn't trade against the current
market

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price.

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In a way, what we can say, can we say that in many of the discussions that happen on

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the internet today, generally, anyone can create a profile and write a comment.

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And because of this nature of the internet, you have comments coming in from
anonymous

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people, people who have no idea about what is actually being debated.

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So it is almost like it is a civil attack of opinions.

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Anyone can create a profile and there's no cost to creating an opinion.

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But in a prediction market, what is happening is, in order for me to move a price
about

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something, about an event, I need to put actual money to move the price.

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So this kind of prevents a civil attack, and I will only put my money in buying a
prediction

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only if I'm sure that I have some information that the market doesn't.

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So only people who have real information end up trading, and that makes the market

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a better judge of the future than a Reddit forum post, for example.

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Yeah, absolutely.

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I really like the civil attack concept in this context.

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So what's great about the markets is really that they filter out the noise.

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It's not so much that there's this reward that you can win the bet.

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But prediction markets, why they really work, and they do work, there's an amazing
history

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of them.

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They are much more accurate than anything else that has ever been devised or tested

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by man.

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There are these amazing things, they'll get every single academy award, they'll get
every

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single state's electoral votes, they'll get everything long before they'll call
election

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results years before the election even takes place.

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So there's a lot of questions you can break down why are they so accurate, but one
of

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the major reasons is that you're correct is that it imposes a cost on the person who
wants

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to change the signal.

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And people worry like, oh, I really believe that, I don't agree, but I'm not willing
to

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put money on it.

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But that's exactly the point, right?

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It's like, good, we don't want you, and we don't want anyone else like you.

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You may lose some people who actually have information that are just actually
uncomfortable

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placing some kind of bet, but what you gain is that lots of people who really didn't
know

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anything are just filtered out completely.

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So you get all the signal attack immunity because it costs, every time you want to
move

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the forecast, it will cost you in proportion to how much you want to move the
forecast

226
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from what it was.

227
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So you're completely correct.

228
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You've made a meta-knowledge contribution.

229
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You're saying, I know this is wrong, and I know, not only do I know that it's wrong,

230
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but I know enough about this whole system that I know why every other person is
incorrect.

231
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So they're saying that I know that I think I'm the number one guy on the planet.

232
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And so the market only consists of these people who honestly believe, possibly
mistakenly,

233
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they honestly believe that they are the number one expert on the planet.

234
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And so that's why they're so accurate, because you've basically got the people who
have self-selected

235
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as being experts on whatever the topic is.

236
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And even from a group, anyone can join.

237
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It's very permissionless, peer-to-peer.

238
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This whole group where anyone can join, you don't need to have any kind of
administrative

239
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red tape or anyone's permission.

240
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People just show up.

241
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It's a very neat thing.

242
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It's a very powerful thing.

243
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So we mentioned the example of politics that often gets thrown around when we talk
about

244
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prediction markets, the weather, these types of things.

245
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Are there any types of facts that prediction markets are just really bad at finding
the

246
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truth?

247
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Well, I would say no on principle.

248
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There are these cases where it depends on how valuable the information is and how
few

249
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people have it.

250
00:17:23,380 --> 00:17:29,420
So a concern is that people will want to know something.

251
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For example, they'll want to know if a certain research project will work out or
not.

252
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But only a very few number of people even have the ability to figure out if it will.

253
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And there's a question of if the market isn't liquid enough, will these people even
bother

254
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to trade at all?

255
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And this has been something that we've seen in Bitcoin prediction market websites.

256
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And also not Bitcoin, but in general.

257
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This happened in trade, for example, where markets would just not have the
liquidity.

258
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People would not be buying and selling.

259
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And so there would be no reason for someone who had the expertise to actually
contribute

260
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there.

261
00:18:08,620 --> 00:18:13,100
And so you're talking about liquidity of predictions, essentially.

262
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Yeah, that's sort of what I mean.

263
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Just like in any other market, you have buyers and sellers.

264
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And it works better when there are a lot of buyers and sellers.

265
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So it's kind of easy.

266
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The politics is something that in trade kind of got famous for.

267
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And so people would just go there and it was just like a very, it was a big thing.

268
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It was on CNBC all the time.

269
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And so other things like sports, like there's a trade sports website in Europe.

270
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And so people like those things.

271
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So it's easy to get the liquidity up and that those things kind of help.

272
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Betting on obscure things is a little difficult, but it's still possible.

273
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If you ask someone to help subsidize, they basically put up some money that they
know

274
00:18:57,880 --> 00:19:03,060
that will be lost, which is not totally inconceivable because there are many
instances where someone

275
00:19:03,060 --> 00:19:07,460
would like to buy information that they don't possess.

276
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For example, I think the Bitcoin block size debate is a perfect example of where I
think

277
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there are people who, I mean, why spend all this money to go to Montreal and have
everyone

278
00:19:16,780 --> 00:19:21,740
stay at a hotel and have all these sponsors and pay for the venue and have everyone
travel?

279
00:19:21,740 --> 00:19:25,820
And it's like, I think people would just, they would rather just buy this
information

280
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if they could.

281
00:19:26,820 --> 00:19:34,500
Regarding prediction markets, I can imagine how you could have a market in which the
event

282
00:19:34,500 --> 00:19:39,220
is a yes or no event, like Hillary Clinton becomes the president of the United
States.

283
00:19:39,220 --> 00:19:41,700
Either it happens or it doesn't.

284
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What would happen if we wanted to have a prediction market for something that is not
a yes or

285
00:19:46,980 --> 00:19:50,980
no event, like the price of Bitcoin in 2017?

286
00:19:50,980 --> 00:19:58,540
Can we have markets that are not for yes or no events, but have results which vary
over

287
00:19:58,540 --> 00:20:00,780
a wide range of outcomes?

288
00:20:00,780 --> 00:20:03,220
Yes, absolutely.

289
00:20:03,220 --> 00:20:04,220
That's very easy to do.

290
00:20:04,220 --> 00:20:10,180
So the Hillary Clinton example is the piece of paper is worth a dollar if she is
elected

291
00:20:10,180 --> 00:20:15,540
and it's implied and correct that it's worth zero dollars if it does not happen.

292
00:20:15,540 --> 00:20:17,820
It's only worth a dollar if she is elected.

293
00:20:17,820 --> 00:20:24,220
But you can also create something that says there are 538 electoral college votes in
the

294
00:20:24,220 --> 00:20:30,860
United States, so the presidential candidates are competing to win those electoral
college

295
00:20:30,860 --> 00:20:38,940
votes and there are 538 of them, and so the most you can ever get is 538 and the
fewest

296
00:20:38,940 --> 00:20:39,940
you can get is zero.

297
00:20:39,940 --> 00:20:44,940
So you can create something else that instead of being worth one dollar if Hillary
Clinton

298
00:20:44,940 --> 00:20:52,620
is elected, that's worth one 538th of a dollar for each vote, for each electoral
college

299
00:20:52,620 --> 00:20:55,060
vote that she gets.

300
00:20:55,060 --> 00:20:57,900
And so it's basically the same thing.

301
00:20:57,900 --> 00:21:02,020
Instead of fixing the final prices at one or zero, you just fix them at some number

302
00:21:02,020 --> 00:21:07,900
that's in between one and zero, and you just rescale that to whatever you were
interested

303
00:21:07,900 --> 00:21:08,900
in doing before.

304
00:21:08,900 --> 00:21:16,220
So one way of just simplifying it would be to just say that it pays one dollar for
each

305
00:21:16,220 --> 00:21:22,460
electoral college vote and then you just invest more or less as desired, and it does
the exact

306
00:21:22,460 --> 00:21:23,460
same thing.

307
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The market price of one would be the actual likelihood of the thing happening, but
the

308
00:21:29,340 --> 00:21:37,700
price of something else that's this continuous range, that price would just
represent the

309
00:21:37,700 --> 00:21:40,900
actual estimate of that actual number.

310
00:21:40,900 --> 00:21:45,860
So it's just saying this is going to pay a dollar for every electoral college vote
that

311
00:21:45,860 --> 00:21:50,620
Hillary Clinton gets, and it's trading for about $400, then anyone who thinks she's
going

312
00:21:50,620 --> 00:21:54,740
to get more or less can go in there and pick these things up, and they should be
happy

313
00:21:54,740 --> 00:21:58,180
to do so.

314
00:21:58,180 --> 00:22:03,340
So yeah, it's very easy, and way more stuff than that is possible, way more.

315
00:22:03,340 --> 00:22:11,180
Yeah, so in the white paper you describe, the Truthcoin white paper, you describe
the

316
00:22:11,180 --> 00:22:15,460
binary prediction markets and the scale prediction markets, which is what you just
explained,

317
00:22:15,460 --> 00:22:22,420
and then you can have sort of hybrid models where you would have multiple dimensions
of

318
00:22:22,420 --> 00:22:23,420
predictions.

319
00:22:23,420 --> 00:22:25,820
So for example, well could you give us an example because I'm not sure I can come up

320
00:22:25,820 --> 00:22:26,820
with one right now.

321
00:22:26,820 --> 00:22:33,940
Yeah, it's pretty complicated to most people I suppose, but there's this very simple
math

322
00:22:33,940 --> 00:22:38,420
that relates these joint probabilities to conditional and marginal probabilities, so

323
00:22:38,420 --> 00:22:42,620
maybe someone can Google that and if they're really interested, learn all about it.

324
00:22:42,620 --> 00:22:48,300
But basically what you do is you place a bet that's, to simplify, you basically
place

325
00:22:48,300 --> 00:22:57,180
a bet that's something like, if we elect Hillary Clinton, if we do, that's dimension
one, this

326
00:22:57,180 --> 00:23:03,380
will pay $1 if, this is the second dimension, so if Hillary Clinton is elected, this
will

327
00:23:03,380 --> 00:23:12,580
pay $1 if the unemployment rate is low, like if it's below 5% in 2017 or something,
right?

328
00:23:12,580 --> 00:23:19,060
So 2017, that'll be a year in, that'll be basically Hillary Clinton's fault or her,

329
00:23:19,060 --> 00:23:26,180
to her credit, or she'll have some administrative control over events that are
related to United

330
00:23:26,180 --> 00:23:27,940
States unemployment, right?

331
00:23:27,940 --> 00:23:34,940
So you'd want, you want unemployment to be low, you want people to be employed, so
this

332
00:23:34,940 --> 00:23:40,820
thing is paying, this is $1, this is sort of estimating the likelihood if you elect

333
00:23:40,820 --> 00:23:42,740
Hillary Clinton of achieving that goal.

334
00:23:42,740 --> 00:23:48,020
So again, to really kind of simplify all the details, you're just looking at what's
the

335
00:23:48,020 --> 00:23:52,100
likelihood of hitting this thing, Hillary Clinton or not Hillary Clinton, and you
can

336
00:23:52,100 --> 00:23:56,740
just look at those two numbers, and since all kinds of finance people will be
trading

337
00:23:56,740 --> 00:24:02,900
in these markets and trying to earn profits for themselves, you can just sort of
say,

338
00:24:02,900 --> 00:24:09,820
oh look, Hillary Clinton is bad for this thing, you know, and we all, now we all
know that,

339
00:24:09,820 --> 00:24:14,220
so now we won't elect her, or vice versa, you could say, oh maybe she's really good

340
00:24:14,220 --> 00:24:15,220
for this.

341
00:24:15,220 --> 00:24:19,980
But yeah, you can chain all kinds of crazy things together, and each dimension is
sort

342
00:24:19,980 --> 00:24:23,740
of like controlling, it's like a statistical control, you could say like controlling
for

343
00:24:23,740 --> 00:24:30,980
age, controlling for whatever, education and height and all these things, what's the
effect

344
00:24:30,980 --> 00:24:32,220
of X on Y?

345
00:24:32,220 --> 00:24:38,100
So it's, I guess I would say that you can use these markets to not only predict the

346
00:24:38,100 --> 00:24:41,100
future but also to compare different futures.

347
00:24:41,100 --> 00:24:45,240
So since you put us in the Hillary Clinton future, what are we going to get?

348
00:24:45,240 --> 00:24:49,220
You put us in the non-Hillary Clinton future, what are we going to get?

349
00:24:49,220 --> 00:24:53,740
And then you can say, which one of those two futures do I think is better?

350
00:24:53,740 --> 00:24:58,500
And then try today to move things more in that direction.

351
00:24:58,992 --> 00:25:17,992
So like to take another example, so what this means essentially then is, let's say
if we were in 2007, and we could have had a two-dimensional prediction market, will
Barack Obama be elected as president in 2008? And the other one is will Guantanamo
Bay be closed in 2010?

352
00:25:18,992 --> 00:25:36,992
So this kind of prediction market, I guess, would have given an answer about what is
the market's opinion about if Barack Obama is elected, then what is the chance of
Guantanamo Bay being closed?

353
00:25:37,992 --> 00:26:01,992
And if the market thought that the chance was low, then it would reflect in the
prices. And if the market thought the chance was high, that would also be captured
in the prices. And the voters in the election can look at the prices and have an
opinion about what the market thinks Obama will do once he is elected as president.

354
00:26:02,992 --> 00:26:06,992
So it allows them to make a better decision regarding their vote. Is that correct?

355
00:26:07,992 --> 00:26:27,992
It's absolutely correct. So it's a totally new way of having information spread. And
so it's possible, as maybe people know, it was a big campaign promise of Barack
Obama's that he would close Guantanamo Bay, and yet it's still open today. We're
still waiting on that. So not very expectantly.

356
00:26:28,992 --> 00:26:49,992
And so it's possible. What's very interesting is that when he was just a senator
from Illinois, it's possible that he actually didn't know information. Like maybe
when he was elected, people pulled him aside and said, a couple of days later, they
said, by the way, you can't close it for some secret but important reason.

357
00:26:50,992 --> 00:27:14,992
But whatever the case may be, or maybe he just straight up lied to people, gasped, a
politician lying. It's like obviously that is totally plausible. But whatever the
case may be, there were probably some people, possibly including Barack Obama
himself, possibly including his close associates and aides and things like that.

358
00:27:15,992 --> 00:27:37,992
There were people who knew, even in 2007, how unlikely this campaign promise was to
be met. So they would just have picked up all this easy money in the market. The
market would have started out in kind of an ambiguous place, and these people would
have said, I'll take $20 or $5,000 or whatever it is in the market.

359
00:27:38,992 --> 00:28:01,992
They'll say, I don't care. I'll pick up this money because I know there's no way
that thing is getting closed. And so the cool thing is that these markets
allow—there's a little bit of math that I don't want to get into—but these markets
let you do things where you bet. If Barack Obama is elected, some bet, but if the
thing doesn't happen.

360
00:28:01,992 --> 00:28:17,992
So if Barack Obama is not elected, you can do different ways of getting your money
back or actually earning money, depending on—there's some weird math involved. But
these people can make a totally nice bet that doesn't affect them at all.

361
00:28:18,992 --> 00:28:38,992
They can only bet on what they know about. So if Barack Obama is elected, they can
bet on that. But if it turns out that that didn't happen, they're not really
affected. So these people will have every incentive to reset the price to what it
really should be, which is the actuarial likelihood of these campaign promises being
fulfilled.

362
00:28:39,992 --> 00:29:03,992
And so this technology is kind of yearning for a world where we don't have to even
listen to these campaign promises, where you can just list the stuff in markets and
then you can just show up on the election night and just having no idea who these
people even are or even what their names are, you just look it up on your phone
while you're waiting in line.

363
00:29:03,992 --> 00:29:32,992
Good for unemployment, good for life expectancy, bad on—I don't like their foreign
policy, likely to take us into war, et cetera. You don't even need to know these
people's names. That's sort of the ideal thing because these prices will be set
by—as is done in the stock market today, they'll be set by these people who are
teams of people who research this actual stuff and the actual likelihood.

364
00:29:34,992 --> 00:29:49,992
Let's take a short break so I can take you to Paris. I dropped into La Maison du
Bitcoin, the house of Bitcoin, in the heart of Silicon Sentier, home to many
startups, including Ledger. And I spoke with Eric Larchevêque, Ledger's CEO, about
what we can expect in the coming months.

365
00:29:50,992 --> 00:30:16,992
A lot of our customers are asking for solutions compatible with mobile using NFC or
Bluetooth, and we are working on that. In September, we plan to release the Ledger
Unplugged, which is a Java card NFC compatible. At the end of the year, we will
release the Ledger ODT, which is a hardware wallet with a screen, Bluetooth, NFC,
and a keyboard.

366
00:30:17,992 --> 00:30:39,992
And also in September, November, we are going to release the Ledger HSM for
enterprises. And finally, the Ledger Trustlet, which runs in the trusted execution
environment, is almost available now in beta for mycelium and green address, and
which will be released hopefully also in September.

367
00:30:39,992 --> 00:30:52,992
In the future, we really see ourselves as the leading company in securing all the
Bitcoin solutions for customers, but also for enterprises. We want to be the Cisco
of the Bitcoin.

368
00:30:53,992 --> 00:31:16,992
So definitely look forward to exciting and innovative new Ledger products to be
released in the coming months. In the meantime, you can always count on the Ledger
Nano to keep your Bitcoin safe. So don't delay in getting a secure setup today. Go
to ledgerwallet.com and use the offer code EB09 to get 10% off your first order, and
that offer code is valid until September 30th of 2015. We'd like to thank Ledger for
their continued support of Epicenter Bitcoin.

369
00:31:17,992 --> 00:31:43,992
Before we get into talking about Truthcoin specifically and the project, I want to
keep on this idea of information availability, because it's often, and you write
about this, it's often thought that we live in this age of information abundance.
And you write that the problem is not the abundance of information that we have
access to, but it's the aggregation of information that is sort of lacking in our
society.

370
00:31:44,992 --> 00:31:53,992
I'd like to know if you think that prediction markets perhaps present sort of a holy
grail of the new information age in the coming years.

371
00:31:54,992 --> 00:32:07,992
Yeah, I've previously compared them to the invention of the printing press. And that
it's sort of like, the internet is kind of like the printing press and prediction
markets are sort of like, almost kind of like critical reading or something.

372
00:32:08,992 --> 00:32:27,992
Where, you know, people were writing all this stuff, but the first stuff that was
printed was just copies of the Bible that were just sort of saving time. It kind of
didn't occur to people that they could have their own thoughts and write them down
and then circulate them for their friends far away and then they could comment back
and then there'd be this trail of dialogue that would be like kind of helpful.

373
00:32:28,992 --> 00:32:44,992
So I think the internet just, you know, the internet kind of turned on and people
were struggling. It's sort of a nervous system for society, but the nervous system
was doing these very boring things, you know, sending email kind of before.

374
00:32:44,992 --> 00:33:09,992
And that was, that email's great. Everyone loves email, including me. But, you know,
it was doing like IRC chat. It's like, that's not what the nervous system is about.
The nervous system, it does those things, but everything that has a nervous system
has like a brain that takes all these signals and interprets them as information and
then reacts, causes the entire system, the entire organism to react in a very
coordinated way.

375
00:33:09,992 --> 00:33:38,992
And that's the real purpose of the internet. It's not so that two people can email
each other. It's so that we can like achieve this concept of every single person
having all these diverse values and thoughts and beliefs and knowledge and
experiences and having them all pool up and then having it all broadcast back out as
something simple that, okay, here's what we should all do.

376
00:33:39,992 --> 00:34:03,992
It's the broadcasting is where the real benefits are. So that's a really, really
cool thing that I think prediction markets do enable because they, you know, one
interesting thing is that, you know, lots of things don't scale very well, like
communications in general, but also just sort of talking to people doesn't scale
because talking takes a lot of time and you just don't have enough time.

377
00:34:04,992 --> 00:34:28,992
There's a lot of people, but markets actually have like a negative scale. They scale
super well because the more people get involved, the more liquid the market is. And
that's like a really, really, that's like a really powerful thing when you have a
world full of billions of people who many of whom are very, you know, educated, very
smart, have a lot of important experiences to contribute.

378
00:34:29,992 --> 00:34:37,992
You need something that scales and markets not only scale, but they like, they
really scale. They have like a, they have an extra benefits with more people.

379
00:34:38,992 --> 00:34:58,992
I like this idea of the crowd having perfect knowledge that you just mentioned. And
to me, that's sort of resembles sort of like a hive intelligence or what you might
want to call like an artificial intelligence. How closely is AI related to perfect
knowledge of the crowd?

380
00:34:59,992 --> 00:35:17,992
Yeah, so AI is very similar to this concept, but it's also very different. So it's a
similar kind of, it's a similar kind of promise and similar kind of operation. So AI
is all about, there's a lot of people, you know, you have all this, that you have
this thing that does all of your thinking for you.

381
00:35:18,992 --> 00:35:36,992
And you don't really need to worry about the thoughts because this thing is just
much smarter than you are. And so of course its thoughts will be better. Although
you might be worried that its thoughts are too good and that it plans to like
destroy human civilization or something and replace it with itself or something like
that.

382
00:35:37,992 --> 00:35:54,992
But it's a similar concept with prediction markets. You want, you have this thing
that kind of does the thinking for you and you kind of contribute to it. Unlike an
AI, that's a difference. You are, the prediction market is sort of like a very human
kind of organic AI, sort of a more decentralized AI.

383
00:35:55,992 --> 00:36:08,992
It's like a different, it's like a big crowd of people who are kind of all linked
together and they come up with these decisions that are greater than anything that
any one of them could have contributed.

384
00:36:09,992 --> 00:36:29,992
But it's different to AI in the sense that traditional AI is just like a kind of a
computer somewhere that does everything. And this is like a very organic thing that
can like add new people, drop people. It's very kind of biological almost, very
human dependent.

385
00:36:30,992 --> 00:36:55,992
So they're very similar, but they're also very different. And the other thing is
that although prediction markets will always be, will be as smart as the smartest
person in the crowd and in many times, many ways much smarter, they won't do this
thing that AI kind of claims that it will do, where AI kind of claims that it will
be able to understand itself and then improve itself a lot.

386
00:36:56,992 --> 00:37:11,992
And that's kind of a serious science fiction territory. But that's something that
AI, even though it's science fiction today, that we'll probably get there at some
point. But prediction markets won't do that.

387
00:37:12,992 --> 00:37:31,992
But I do see prediction markets as kind of the next step. There's something very
doable that you can do today that gives you a lot of the benefits of the AI really
at kind of a low cost because you only need to have everyone aware of this thing.
You don't need any ongoing maintenance really, just a way of interacting.

388
00:37:31,992 --> 00:38:00,992
So if we extrapolate in this sort of science fiction scenario, I always like those.
How does this work on a macro scale? If everybody has access to prediction markets,
imagine that in some future, all decisions are subject to prediction market and
people have perfect information all the time. What does that look like, having
perfect information all the time? I have a hard time wrapping my head around this.

389
00:38:01,992 --> 00:38:17,992
I don't think you'd have, you know, you wouldn't have like perfect information all
the time, right? But you would, no one would know more than anyone else. So you
would kind of have common information the whole time. That would be kind of neat.
But yeah, a lot of things would be a lot easier. I mean, you'd know more about the
effect of a given law.

390
00:38:17,992 --> 00:38:40,992
You wouldn't need, you'd know more about the effect of a given candidate. You know,
who should we have as the president? Who should we have as the CEO? Who should we
have on the board of directors? You know, which laws should we pass? A lot of those
things would be much, much easier. And that's a great thing. We'd know, you'd even
be able to know certain things like, should we do some kind of military operation?

391
00:38:41,992 --> 00:38:55,992
You might know whether or not that'd be good. And there might be like all kinds of
classified information that it doesn't, you know, the information itself is still
secret and doesn't leak, but it kind of informs these bets made by anonymous people.

392
00:38:55,992 --> 00:39:11,992
And so you could say, hmm, you know, maybe for some reason, you know, we do need to
do this thing, this maneuver, this invasion of some kind, you know, but we don't
really know why, but you know that it is in fact reliably kind of a good idea.

393
00:39:11,992 --> 00:39:28,992
So the possibilities are very, very extreme. I think it's just the simplest thing is
just that it's better governance. So a lot of people who are kind of, you know, the
leaders, it's all about choosing. If you choose the right leader, a lot of great
things will result.

394
00:39:28,992 --> 00:39:52,992
And the world needs leaders, and those leaders have a relationship to society as a
whole, like the president sort of versus the voters in many ways. And that
relationship between the voters and whoever they elect is a very confused one
currently, but it could be a lot better. And that would make a big difference.

395
00:39:52,992 --> 00:40:05,992
Today's magic word is predict. P-R-E-D-I-C-T. Head over to letstalkbitcoin.com to
sign in, enter the magic word and claim your part of the listener award.

396
00:40:23,992 --> 00:40:46,992
What that would enable is, let's say there's an entrepreneur who's trying to figure
out which city to move to, whether he should go to Silicon Valley, New York, London,
Bangalore, or Amsterdam. And he wants to build a Bitcoin company. And there's a
prediction market that predicts how many unicorn companies based on Bitcoin will
come out of each city.

397
00:40:47,992 --> 00:41:10,992
So he can basically look at the prediction market, and that prediction market has
aggregated information about regulations, venture capital, money, etc. And he can
just look at those values and then say, okay, the market thinks Amsterdam is the
best city to move to to build a Bitcoin company, so that's where I'll go. Is that
kind of an imagination for the future we could have?

398
00:41:11,992 --> 00:41:32,992
I do like that. I think the big benefits are where there's a dispute, because this
is the central question of government as well as the use of force and sort of
ethics. It's like, but who resolves the dispute? And currently there's this
hierarchy, and there's someone on top, or there's a group of people on top.

399
00:41:33,992 --> 00:41:48,992
You have these different branches or different kind of courts or something. So I
think the question you've raised is almost a little too small in scale. I mean,
there could plausibly be people disagreeing like, oh, is Amsterdam better than
whatever Berlin or something?

400
00:41:49,992 --> 00:42:07,992
But I don't think the disagreement is really as important. I mean, I think people
would know something like, it's probably going to be Amsterdam. It wouldn't be kind
of worth bringing out this weaponry for something like that.

401
00:42:08,992 --> 00:42:24,992
This kind of thing is about getting really interesting stuff done, things that we
couldn't get done before because of the way that people, the friction caused by
certain ideas being too hard to understand.

402
00:42:24,992 --> 00:42:42,992
So something like privatized unemployment insurance is something that I think would
be a really great idea. But since it involves cutting existing entitlement to
unemployment insurance, it would be a very, very, very difficult thing to do.

403
00:42:43,992 --> 00:43:02,992
And the election of a third party candidate, impossible in the United States. But
with prediction markets, if the thing, the number says, elect the X, Y, Z person and
all these things will move in a beneficial direction, then that becomes entirely
possible.

404
00:43:03,992 --> 00:43:20,992
And so there are these big disputes, huge disputes, like on a national or
international level. Like, how should we coordinate global overfishing or something
like that?

405
00:43:21,992 --> 00:43:40,992
As long as you have some way to measure the outcome, you can have these markets
about that outcome. There can be derivatives on that event, these event derivatives.
And so it's this really, really big stuff that I think is really where all the chief
benefits are.

406
00:43:41,992 --> 00:44:00,992
I think you only need, maybe only need like a very small number. Small is
arbitrarily like a thousand per year or something. But you may only need a few of
these things. And then once you get the good leaders, right, and then it almost
won't matter, right, because Amsterdam will be the place by choice.

407
00:44:00,992 --> 00:44:15,992
So maybe they'll all be equally good to the point where it doesn't make much of a
difference. Maybe you'll be able to start a business anywhere because no one,
everyone will know that as soon as you do these mistakes, your numbers will go down
and then you won't be able to be elected as easily.

408
00:44:15,992 --> 00:44:39,992
So I think it's almost too small. It's like it's going to solve every problem. I
mean, I hate to make such a bold claim, but it certainly will not solve every
problem. But there's a lot of these problems that just come from, they come from the
top and the top is where you have to aim because that's where everything is the most
screwed up at the moment.

409
00:44:40,992 --> 00:45:06,992
Yeah. So perhaps you're trying to say that instead of this, prediction markets could
be used to understand who should be made the next CEO of a giant Fortune 500
company, right? The Coca-Cola employees, etc., could use this to figure out which is
the next, which is the best person to be our next CEO, for example, or have reason
to fire the existing CEO if he's not doing well.

410
00:45:07,992 --> 00:45:31,992
Right. So think about all the gains that come from large firms, right? Like firms
like Apple, GE, like these people, they have control over serious resources, like
which projects get funded. They control a lot of stuff, like lots of people's jobs,
lots of innovation, like all the innovation comes from these like big monopolists
type super firms.

411
00:45:32,992 --> 00:45:54,992
And even if they're not monopolists, just like big firms that just have a lot of
influence and a lot of direct control over resources, right? And so right now, when
the firm gets big enough, there's too many people involved. The CEO is a powerful
guy. He's done all these sort of mergers, right? And he's built like an empire of
all these big companies that only he understands.

412
00:45:55,992 --> 00:46:22,992
And there's no way, the CEO is often friends with everyone on the board of directors
who's supposed to be his boss. The employment package comes with all these things,
these golden parachute things, these like poison pill items are all written into all
these contracts so that people can't just like improve value for the firm, let alone
even know what action would improve value for the firm.

413
00:46:23,992 --> 00:46:35,992
And if you work for the CEO, if you report to the CEO and you're right beneath him,
it's sort of like, what are you going to do? If you start asking questions about
this type of thing, like you could get fired or something.

414
00:46:36,992 --> 00:46:51,992
And why should you, if you're a shareholder, you own like one thousandth or even
less of Coca-Cola, you don't care. There's no way you're going to be able to vote
for which board members you should have on the board of directors.

415
00:46:51,992 --> 00:47:10,992
That is going to impact you very minimally. So it's very similar to voting where you
have these things, farm subsidies, whatever, that make a big deal. They're super
corrupt, but they make a big deal to the people who are involved in a very small
deal to you as the guy who will ultimately result.

416
00:47:11,992 --> 00:47:24,992
So the CEO makes it very difficult to tell when he should be fired or not. And
there's no one in a better position to know if he's doing a good job than him and
the leadership, the people who work directly beneath him.

417
00:47:25,992 --> 00:47:47,992
But all those people who work directly beneath him are biased, right, because it's
his boss. So they can't go behind the boss's back and go to the shareholders and
say, this guy sucks. He's doing a terrible job. Fire him and I'll make the stock
price go up. You can't do that. You could get fired yourself. You could get
harassed. You could get anything that your career could be over.

418
00:47:48,992 --> 00:48:13,992
So that's not going to work. It's the exact same problem in politics, of course.
Everyone's just sucking up to everyone else. And people know – in the United States
people know the politicians are sort of a joke and they don't really even care,
right, because people know they'll say like, okay, sure, XYZ candidate just said one
of the most ridiculous things I've ever heard.

419
00:48:14,992 --> 00:48:29,992
But they'll say, I know, that guy, he's just saying that to win. So they don't even
care what these people even say. They just want them to win. It's like this whole
thing is kind of a waste of time to even expect this to work. Yeah, it's really our
fault for expecting something like this to work.

420
00:48:30,992 --> 00:48:32,992
We only have ourselves to blame for bad politics.

421
00:48:33,992 --> 00:48:35,992
You can't blame a politician for lying, right? It comes with the job.

422
00:48:36,992 --> 00:48:42,992
Exactly. So let's move on then to Truthcoin specifically.

423
00:48:43,992 --> 00:48:56,992
So, I mean, obviously there are some sort of obvious things that Truthcoin does
differently from something like Intrade, which is the fact that it's decentralized,
that it relies on blockchain technology to work.

424
00:48:57,992 --> 00:49:05,992
It has censorship resistance. It's sort of permissionless. It carries all the same
things that Bitcoin would carry.

425
00:49:06,992 --> 00:49:12,992
Can you talk about other ways that it's innovative in its functionality and what it
can provide?

426
00:49:13,992 --> 00:49:18,992
Yeah, well, Truthcoin aspires to be peer-to-peer version of Intrade.

427
00:49:19,992 --> 00:49:24,992
So there's no central authority in any way, including for the resolution of the
outcomes.

428
00:49:25,992 --> 00:49:37,992
In other words, the software has to determine whether or not Hillary Clinton was
elected, and it's a very difficult problem to do that without a central authority.

429
00:49:38,992 --> 00:49:40,992
But that's the problem that Truthcoin solves.

430
00:49:41,992 --> 00:49:54,992
Intrade itself was censored. In fact, it's still being harassed today for things
that happened a long time ago in kind of a very unsportsmanlike way, and it's very
unfortunate.

431
00:49:55,992 --> 00:49:58,992
But the idea is that it's very similar to Intrade.

432
00:49:59,429 --> 00:50:08,429
But the idea is that it's very similar to things like eGold, which were similarly
closed down for not being compliant with the laws of the country that they happen to
be in.

433
00:50:08,429 --> 00:50:18,429
This is on the Internet. It's totally information-based, so there's no physical
commodities. There's no physical presence of any kind.

434
00:50:18,429 --> 00:50:25,429
There's not even any entity of any kind. It's just a set of rules that people use to
interact with each other.

435
00:50:25,429 --> 00:50:38,429
So in this way, it is censorship-resistant, and no individual has the ability to
disproportionately affect what's going on.

436
00:50:38,429 --> 00:50:45,429
The censorship resistance is what it's all about. Everyone is equal in the eyes of a
protocol.

437
00:50:45,429 --> 00:50:51,429
A protocol is just a set of rules, and that's what Bitcoin did, and that's what this
does.

438
00:50:52,429 --> 00:50:54,429
There's a lot we could talk about how it does those things.

439
00:50:54,429 --> 00:51:01,429
Well, yeah, I'd be interested to find out specifically how—because I think we
understand the mechanism of a prediction market by now.

440
00:51:01,429 --> 00:51:17,429
I'd be interesting to find out how exactly it determines whether or not a prediction
has occurred or not, like the outcome of a prediction, without having to resort to
some sort of central authority, an oracle, or something like that.

441
00:51:18,429 --> 00:51:36,429
Yeah, so the one insight is that the information becomes easier to find over time,
but money can be locked away in this blockchain universe, not for free, but there's
no computational complexity to locking money away.

442
00:51:36,429 --> 00:51:46,429
So time is a net benefit to every honest person, so that's kind of the major insight
upon which the strategy is built.

443
00:51:46,429 --> 00:52:04,429
So you have—another thing that I do differently is that instead of having one person
just throw a switch on one thing, I have a whole group of people throw lots of
switches at once for everything that resolves in a given period.

444
00:52:04,429 --> 00:52:19,429
So quarter one might end, January, February, March might end, and all the things
that were being bet on that ended up happening in that three-month period will be
resolved upon the conclusion of that quarter one.

445
00:52:19,429 --> 00:52:35,429
And I have lots of people bet on lots of things, and I cross-reference those things
with each other to see if anyone is being sort of aberrant or kind of deviant, and
then those people are punished using this second coin type.

446
00:52:35,429 --> 00:52:59,429
So it's kind of a very complicated thing to explain. I really look forward most of
all to just turning it on so that it will just run, and then—it's sort of similar to
Bitcoin in that way where there's really no—Bitcoin, you know, you try to explain it
to people, right, and it's not until you just send or receive Bitcoin that you can
actually understand kind of what's going on.

447
00:53:00,429 --> 00:53:13,429
But, you know, Roger Ver paid Peter Todd and Andrew Polstra and other people to look
at this and review it, and no one caught any problems with it.

448
00:53:13,429 --> 00:53:34,429
So I guess, you know, if you want to read about it, there's an 80-page white paper
on Truthcoin.info, and it's like at some point the—you know, there's a white paper
for Bitcoin as well, but reading Bitcoin's white paper doesn't really help a lot of
people understand what Bitcoin is or how it works.

449
00:53:35,429 --> 00:53:53,429
They just have to turn it on, and so that's what I look forward to doing very soon.
In fact, you can actually go to Truthcoin. You can get—it's older. We have the most
up-to-date stuff ourselves, but you can go to Truthcoin.info and just kind of
download it and just kind of look at it, and you can even make test trades in there.

450
00:53:54,429 --> 00:54:05,429
We made a bunch of things about who will win various, you know, football games in
the United States and what the price of various things will be, and you can make
test trades in there.

451
00:54:05,429 --> 00:54:22,429
But ultimately, it's not—I don't think the explanation is going to fit into one
radio show question in any coherent—I've failed at explaining this in words like
many times, and there are a lot of figures in the white paper that I think make it a
little easier.

452
00:54:23,429 --> 00:54:26,429
And you can—if you download the software, you can go to File, Resolve, Matrix.

453
00:54:26,429 --> 00:54:40,429
Let's not go into too much detail about how it works, but I think for our listeners,
it would be interesting to understand the mechanism between the Bitcoins that you're
betting and the vote coins and how they operate.

454
00:54:41,429 --> 00:55:03,429
I read once that you used the analogy that a person could buy vote coins and become
the employee in a corporation, and the job of the corporation is to put real-world
information into the blockchain. Would that be an accurate analogy?

455
00:55:04,429 --> 00:55:16,429
Yeah, that's a really good point. So there are two coin types in this, and a lot of
people think that, like, the coin types exist, you know, so that I can crowdsale one
and, like, make a lot of money or something.

456
00:55:17,429 --> 00:55:27,429
Like, that's not why. The second coin type is this vote coin, and it exists for the
same reason that Bitcoin exists, because you need a different dimension of this
digital scarcity.

457
00:55:27,429 --> 00:55:55,429
So if you want—there's this theorem in microeconomics. If you want people to report
honestly in a mechanism—and this is called mechanism design in theoretical
microeconomics, if anyone's interested in that—you need to overpay people for them
to be honest, because if there's an incentive for them to be dishonest today, the
only way you can get them to report honestly is by coordinating a more profitable
joint future.

458
00:55:55,429 --> 00:56:09,429
So this is usually why people get along with people that they meet and they're going
to spend a lot of time with. You know, you meet these people, and you, you know,
like, you just show up to your first day of college, and you want to be very
friendly to everyone because you're going to be spending some time with them.

459
00:56:09,429 --> 00:56:30,429
But it's very different when people realize that they'll never see each other again.
You know, they say a goodbye, but then there's really—there's nothing kind of for
them to talk about anymore. It's like a very—so that's kind of a really short sketch
of, you know, you need to overpay these people, but how can you overpay these people
if there's no forced digital scarcity?

460
00:56:31,429 --> 00:56:52,429
So this is the second coin type exists to allow these people really to be overpaid,
but it serves a completely separate function that it's a corporation that resolves
the outcomes, and so it grants this Sybil attack immunity because you, you know,
because you have to buy in in order to report.

461
00:56:52,429 --> 00:57:12,429
So you can't report for free, so you cannot Sybil attack this thing. You either own
1% of the corporation, or you own 10%, or you own 70%, but whatever it is, you've
got to buy this stuff, and you have to forego the option to sell this stuff. So
you've kind of transformed money into reputation, and then you can transform it
back.

462
00:57:13,429 --> 00:57:30,429
So it's—it serves multiple purposes, and the second coin type is redistributed if
people misbehave. It's something that they can lose, unlike Bitcoin, which just
stores value. So the second coin type serves a lot of purposes, something like five.

463
00:57:30,429 --> 00:57:48,429
Different—completely different purposes that are all overlapped with having a second
coin type, and anyone who's more interested should really read. It's going to
be—it's still going to be very difficult to explain in a short amount—in a short
amount of time, but it is, in fact, the simplest way of doing things that will
actually work.

464
00:57:48,429 --> 00:58:05,429
It's very unfortunate that the simplest way of doing things is slightly complicated,
and it involves introducing a second coin type and blocking the reports the same way
that transactions are blocked in Bitcoin, where they're assembled into a big block
transaction.

465
00:58:05,429 --> 00:58:25,429
The resolutions in Truthcoin on how to know if an outcome happened or not, they're
blocked into these huge time periods spanning multiple months, and there's all kinds
of logical and technical reasons for that that are very difficult to convey quickly,
unfortunately.

466
00:58:26,429 --> 00:58:52,429
But it's much easier, I think, if you look at the figures, and I have a chance to
get it all written down exactly the way that I want on the website and in the
documentation. So it's much easier, I think, to do it there. You can kind of skip
through reading anything that you think is—that you already know or that is boring,
and you can reread things that are confusing to you. It's probably a better medium.

467
00:58:53,429 --> 00:59:19,429
So basically, Truthcoin does open like a business opportunity for a lot of people
around the world. They can go and when your system becomes live, they can go and buy
these vote coins. And then every month or every week, they have to put what events
happened in the real world. For example, there's a prediction market about next
presidential election. They have to put information about who won the election.

468
00:59:19,429 --> 00:59:36,429
And in exchange for putting this information into the blockchain, they will get
rewarded by some kind of trading fees. So basically, it's like a business
opportunity where you can buy vote coins, put information into the blockchain and
get paid for it. Is that right?

469
00:59:36,429 --> 01:00:04,429
Yeah. The real business opportunity is in—these people will own these coins, and as
I said, they will get overpaid. So they will have to do this very simple stuff, and
they will get overpaid. So they will get paid for the time and the concentration
that they have to submit these reports. But the real thing is that they get overpaid
for their honesty. And so, just owning these coins is a tremendous—it is like a
business opportunity in a way.

470
01:00:04,429 --> 01:00:25,429
It's like each of these people is an owner-operator of the corporation. And I could
imagine—it depends on a lot of different things, but I could imagine that someone
could make almost a full-time job out of just doing these submissions once a month
or once every few months or maybe a few times, maybe 10 times per year on different
schedules.

471
01:00:25,429 --> 01:00:39,429
And these people would get—depending on how much of the corporation that they own,
they could get potentially enough money to make a decent living. It, of course,
depends on a lot of factors.

472
01:00:55,429 --> 01:01:23,429
If I report correctly and many, many traders use the information my corporation is
providing, then I get more trading fees as a dividend. So I have an incentive to
make sure that this corporation puts good results into the blockchain, and that
raises the value of my vote coins and makes the corporation—and makes more traders
use the results the corporation is providing.

473
01:01:23,429 --> 01:01:25,429
Is that the natural incentive?

474
01:01:26,429 --> 01:01:37,429
Yeah. The honesty incentive takes place on different scales. So there's a figure on
like page 25 of the white paper or something that goes into this in a little bit
more detail.

475
01:01:37,429 --> 01:01:58,429
So if your attack is very small in scale, it will fail outright, and you will be
flagged in the thing as like an aberrant guy who did not conform to what everyone
else submitted. When I mentioned that you cross-referenced those votes with each
other, you kind of just fail outright, and your vote coin holdings will be reduced.

476
01:01:59,429 --> 01:02:19,429
And so you'll be punished, and you have no reason to act in this way. But then sort
of on a more medium scale, if more people—if the attack succeeds, the vote coin
market capitalization will be wiped out, right? Because it was only useful because
it resolved these outcomes. But if it can't do that, it's not worth anything.

477
01:02:19,429 --> 01:02:48,429
So there's this big—like I said, you have the option. If you want to defect, so to
prevent like what Guern and other people call the exit scam, you can just—if you
don't want to do this anymore, you can just sell the vote coins. And instead if you
attack, you will lose the ability to sell the vote coins because no one will want to
buy them. They'll have a market value of zero because they didn't do what their only
purpose is, which is to resolve outcomes.

478
01:02:49,429 --> 01:03:11,429
But then on a larger scale, if you have this big matrix of these blocked things, if
lots of people lie about lots of things, then you have this—it's sort of a very
obvious, huge lying conspiracy. And at that point, you can do more complicated
things involving delaying the resolution.

479
01:03:12,429 --> 01:03:37,429
Miners can sort of pause this thing and ask people to do it again. And it will be
very easy for the miners to see that they have to do that because this matrix will
be filled 100% with everything that is exactly the opposite of what happened. And so
I'm even experimenting with some other ideas that I think are very cool and don't
introduce any malicious incentives that I've been thinking about for a long time.

480
01:03:37,429 --> 01:03:44,429
Can you tell us about the current status of Truthcoin? I believe it's still sort of
in beta right now. It's not fully implemented.

481
01:04:08,429 --> 01:04:23,429
And we have that person's code being reviewed, and we have the design being
reviewed. And it's sort of—since it requires the two-way peg, the sidechain's
two-way peg, it sort of doesn't really matter.

482
01:04:23,429 --> 01:04:36,429
The real bottleneck is whenever Dr. Back finishes his peg sidechain thing because
there's kind of no point in releasing this software until people can actually use it
with Bitcoin. But we probably will release—

483
01:04:37,429 --> 01:04:44,429
Right, because it's just important to mention that Truthcoin will be implemented as
a sidechain. So you're sort of waiting on that to take shape for—

484
01:04:45,429 --> 01:05:01,429
So we have a version that is just kind of with what we call Bitcoin, but it's fake.
It's not real. It's not even tested at Bitcoin. It's just fake Bitcoin. Just for
testing purposes and for no real—something like that.

485
01:05:01,429 --> 01:05:15,429
But I don't know. Probably by the time this airs, I don't know when it will, but
probably by then there will already be newer versions of kind of what is currently
on the website.

486
01:05:16,429 --> 01:05:35,429
But what's on the website is already like a—it's sort of a sketch of what—I would
say it's like—it's hard to say when software is finished, right? So lots of things
are finished, but it doesn't matter because the real bottleneck is review and
editing and the two-way peg.

487
01:05:35,429 --> 01:05:49,429
So none of those things—those questions—it's not like on date X you'll be able to
use the software because date X is like—it's kind of out of my hands. It's really in
the sidechain people's hands.

488
01:05:50,429 --> 01:06:10,429
So in the prediction markets, like the upcoming field of prediction markets,
decentralized prediction markets, I see that Truthcoin is building on Bitcoin
through a sidechain, and then there are these other approaches that are utilizing
Ethereum, like there's Augur, then there's Group Gnosis.

489
01:06:11,429 --> 01:06:23,429
So the competition seems to be really heating up between Bitcoin as a platform and
Ethereum as a platform in the prediction market space. What's your view on that, and
why did you choose Bitcoin?

490
01:06:24,429 --> 01:06:40,429
Yeah, well, I don't really think that there is any competition whatsoever. So Augur
is an organization that was working on Truthcoin a long time ago, and Roger Ver
called me on the phone and asked me who was doing the best work, and it wasn't them.

491
01:06:40,429 --> 01:06:58,429
It was someone else who wanted to be kept anonymous. So I told Roger who that person
was, and he hired that person. And so really everyone has just been building either
Truthcoin or something that doesn't work. And so there really isn't any competition
whatsoever.

492
01:06:59,429 --> 01:07:22,429
I don't really see Ethereum as a competitor to Bitcoin in any sense. It's very, very
new. The market capitalization of Ethereum is barely 1.5%, 2% of what Bitcoin is.

493
01:07:22,429 --> 01:07:40,429
At technical conferences, people make jokes about Ethereum. Ethereum is very, very
experimental. It's a very academic project. I don't think people really take it
seriously who are doing actual software development.

494
01:07:41,429 --> 01:07:54,429
You're also known to criticize Ethereum's choice in going towards the proof-of-stake
direction. Can you tell why that's the case? What's the basic problem with
proof-of-stake?

495
01:07:55,429 --> 01:08:14,429
I object to a lot of things about proof-of-stake. One of the things that has been
outright false since forever, and that a lot of this stuff was proposed in Bitcoin a
long time ago, 2009. Very, very, very long time ago.

496
01:08:15,429 --> 01:08:37,429
These similar ideas, these proof-of-stake type ideas, they're very, very old. And
the reason that no one, none of the experts, these brilliant, brilliant developers
in Bitcoin, the reason that no one tried to switch to them is not because they like
having the W in proof-of-work or something.

497
01:08:38,429 --> 01:08:56,429
It's like these really big problems with proof-of-stake. And one thing in particular
that I strongly objected to, and that it was happening at Ethereum all the time,
which is that you had all these people saying that proof-of-work is bad for the
environment, and that it's bad, it wastes energy, and wastes money, and you're just
burning all this money.

498
01:08:57,429 --> 01:09:11,429
And that is categorically false. It's 100% false. And it was being said with such
bravado that I just knew that everyone at Ethereum really didn't know what they were
talking about in general when it came to this proof-of-stake, proof-of-work
difference.

499
01:09:11,429 --> 01:09:25,429
If you go back to what people have written before, it's obvious. If you go back to
what Satoshi wrote when he published Bitcoin to the original mailing list and tried
to get people's attention about it.

500
01:09:25,429 --> 01:09:38,429
If you go back to Satoshi's White Paper where he describes what the purpose of
mining is, it's been explained by him and by lots of other people that proof-of-work
is hash cash for money.

501
01:09:39,429 --> 01:09:54,429
So what's the purpose of hash cash? It's a speed bump. It slows things down. It's to
slow the distribution of coins. It was reused in a very clever way, but a very
secondary way.

502
01:09:54,429 --> 01:10:08,429
It was reused to secure the blockchain, and that is a really intelligent thing to
do, and that was a really clever double use of that technology, but proof-of-work
does not waste any money.

503
01:10:08,429 --> 01:10:26,429
25 Bitcoins are being released every 10 minutes, and 25 Bitcoin are going to be
spent. The value equivalent, the purchasing power parity of 25 Bitcoins are going to
be spent every 10 minutes trying to get those things.

504
01:10:27,429 --> 01:10:45,429
That's just equilibrium behavior, and it doesn't matter if it's proof-of-work or
proof-of-stake or proof-of-storage or proof-of-bandwidth or proof-of-unicorns. None
of that has anything to do with why the money is being, quote, wasted, end quote.

505
01:10:45,429 --> 01:10:57,429
And that was something I just thought was ridiculous, that that was getting so much
airtime on Ethereum, and it was just so obviously false that I just – and the other
thing is that there's a lot of burnout.

506
01:10:58,429 --> 01:11:10,429
All these people, Greg Maxwell and Andrew Polstrad, they have been explaining why
proof-of-stake doesn't work for a very long time, and they just get burned out.

507
01:11:11,429 --> 01:11:25,429
They've been saying it for years, and you know how it is when you join the Bitcoin
world. Time just slows down. Can you really believe it's only been – I feel like
each day is like a month once you get involved with Bitcoin.

508
01:11:25,429 --> 01:11:36,429
It's just like the day is just – it's a magical thing. It's like being able to live
for like 10,000 years because time is just so much slower now, which is kind of
cool.

509
01:11:37,429 --> 01:11:46,429
But it's also kind of like people propose – I mean, stuff that happened in – even
things that happened in like 2012, that's like ancient, ancient history.

510
01:11:47,429 --> 01:12:01,429
It's like might as well – might as well have happened like 100,000 years ago. So,
it's for people to keep saying these things, and they bring up these things again,
and it's just – you know, it's hard to say because people have every right to do
whatever they want with their own money.

511
01:12:01,429 --> 01:12:20,429
And no one wants to interfere with that, which is very admirable. But I mean, at the
same time, there is some – it's just like – the problem is if someone says, you
know, X, I think X is a good idea, and you don't say anything, there's like an
implicit endorsement.

512
01:12:20,429 --> 01:12:34,429
So, it's sort of like, oh, I brought this up in front of Paul Sztorc, and he didn't
say anything. You know, it's sort of like, did he agree or not? And so, at some
point, you are kind of obligated to say like, please just stop doing this because
it's not correct.

513
01:12:34,429 --> 01:12:55,429
This is kind of a weird thing that Ethereum has done, right? It's just sort of this
kitchen sink blender strategy of just every single buzzword you can find, and you
just put them all in, you know, right? Ghost, small amount of inflation, it's just
sort of, yeah, tiny block times. So, like, just put everything in, and just – it's
like, it's really kind of –

514
01:12:56,429 --> 01:13:10,429
Sounds like a good use case for a prediction market then, you know, whether or not
Ethereum will or should switch to proof of stake, or based on this – according to
you, this evidence that proof of stake doesn't work.

515
01:13:11,429 --> 01:13:31,429
Well, my primary complaint was that proof of stake, it doesn't save any money. And
so, I tried to establish that originally with the blog post that I wrote, it was
long-lived proof of work. But I brought it back later with a much bigger blog post
that was nothing is cheaper than proof of work.

516
01:13:32,429 --> 01:13:52,429
And although, you know, I'm really confident that that one is correct, the one about
nothing being cheaper than proof of work. It's just, I have an immense amount of
confidence. And it was immediately attacked by people from proof of stake and from
Ethereum, but the attacks in the comments section were weak, and they were rebutted.

517
01:13:53,429 --> 01:14:17,429
So, I don't think that – I think now it's not disputed. I haven't heard anyone –
since I wrote that article, I haven't heard anyone from Ethereum claim that proof of
stake is cheaper than proof of work. So, I hope that I succeeded in convincing
people of that. But I'm sure that, you know, it's just one of those things where, I
mean, there are only so many times that people can – you know, it is unfortunate.

518
01:14:18,429 --> 01:14:32,429
But, you know, people do something, and they'll get rewarded for it economically.
And then everyone who's watching, they'll say something like, oh, that guy just made
a ton of money, you know, doing that thing. I should hype up my own thing and just,
you know, have a crowd sale.

519
01:14:32,429 --> 01:14:49,429
And it doesn't matter how many times people lose money or how many times you tell
people, like, you really shouldn't do that. You really shouldn't do that at all,
because you don't even know, like, what you're buying, and you don't even know,
like, if the product will ever exist, and you should really wait until, like, the
project's finished and all this other stuff.

520
01:14:49,429 --> 01:15:14,429
And, you know, you can just tell people this stuff a million times, but ultimately
they're just going to ignore you, and there's nothing you can do except just sit
back and watch people lose all their money. And that's kind of a sad thing, but
that's like – this type of thing has been going on for so long, only in slightly
more refined forms of kind of obfuscation.

521
01:15:14,429 --> 01:15:29,429
Like, people just saying, like, throwing all this stuff out there, and you just
think, like, you know, what – I mean, how much time am I going to take out of my day
to write – like, it took me a really long time to write that blog post about nothing
being cheaper than proof of work.

522
01:15:29,429 --> 01:15:56,429
I could have spent that time doing all these other things, but, you know, I tried to
make this tiny dent in this thing that was just truly unacceptable, and I just – all
these times, people on the internet saying all this stuff about, you know, we're
going to achieve magical nirvana for all, because proof of work will be dead, and,
like, all this stuff that's just, you know, just wishful thinking of the worst kind.
So, that's kind of how I feel about that.

523
01:15:56,429 --> 01:16:13,429
And so, we'll link to that blog post in the show notes, so people can read it. We'll
also link to the Truthcoin white paper and all the other great articles that we
talked about today. I see Mayer laughing there. I think you struck a chord with him.
I don't know what he's laughing about.

524
01:16:13,429 --> 01:16:40,429
But, yeah, Paul, thanks so much for coming on today. It was really interesting to
learn more about prediction markets and Truthcoin, and I look forward to seeing the
project take shape whenever, you know, if and when sidechains become a reality. And,
Mayer, well, thanks and congratulations for your first Epson and Bitcoin episode. It
was really great. I thought it was fantastic, and I hope our listeners will like it
as well. How did you find it?

525
01:16:40,429 --> 01:16:49,429
Yeah, it was great. I have no idea how I've done. So, any comments from the
listeners are welcome. I'll try to improve.

526
01:16:49,429 --> 01:17:09,429
I thought it was fantastic. But, yeah, I'm looking forward to hearing what our
listeners have to say about Mayer joining us as a new co-host. So, yeah, thanks so
much for joining us today. We do episodes of Epicenter Bitcoin every Monday. You can
subscribe to the show, of course, on iTunes, SoundCloud, or wherever you get your
podcasts.

527
01:17:09,429 --> 01:17:33,429
And you can also watch the video version of the show on YouTube.com slash Epicenter
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528
01:17:33,429 --> 01:17:57,429
So, you want a free Epicenter Bitcoin t-shirt? The secret's out. You can just give
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529
01:18:03,429 --> 01:18:05,429
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01:18:05,429 --> 01:18:07,429
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