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mantikoros 2022-01-10 01:12:03 -06:00
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@ -222,20 +222,16 @@ function Contents() {
<h3 id="how-does-betting-work">How does betting work?</h3>
<ul>
<li>Markets are structured around a question with a binary outcome.</li>
<li>
Markets are structured around a question with a binary outcome (either
YES or NO)
</li>
<li>
Traders can place a bet on either YES or NO. The bet amount is added
to the corresponding bet pool for the outcome. The trader receives
some shares of the final pool. The number of shares depends on the
current implied probability.
Traders can place a bet on either YES or NO. The trader receives some
shares of the betting pool. The number of shares depends on the
current probability.
</li>
<li>
When the market is resolved, the traders who bet on the correct
outcome are paid out of the total pool (YES pool + NO pool) in
proportion to the amount of shares they own, minus any fees.
outcome are paid out of the final pool in proportion to the number of
shares they own.
</li>
</ul>
@ -286,36 +282,22 @@ function Contents() {
Office hours:{' '}
<a href="https://calendly.com/austinchen/mantic">Calendly</a>
</li>
<li>Discord:</li>
<li>
Chat:{' '}
<a href="https://discord.gg/eHQBNBqXuh">
Manifold Markets Discord server
</a>
</li>
</ul>
<p>
<a href="https://discord.gg/eHQBNBqXuh">
Join the Manifold Markets Discord Server!
</a>
</p>
<p></p>
<h1 id="further-reading">Further Reading</h1>
<hr />
<ul>
<li>
<a href="https://manifoldmarkets.notion.site/Technical-Overview-b9b48a09ea1f45b88d991231171730c5">
Technical Overview of Manifold Markets
</a>
</li>
<li>
<a href="https://en.wikipedia.org/wiki/Prediction_market">
Wikipedia: Prediction markets
</a>
</li>
<li>
<a href="https://www.gwern.net/Prediction-markets">
Gwern: Prediction markets
</a>
</li>
<li>
<a href="https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.7441&amp;rep=rep1&amp;type=pdf">
David Pennock: Dynamic parimutuel markets
<a href="https://manifoldmarkets.notion.site/Technical-Guide-to-Manifold-Markets-b9b48a09ea1f45b88d991231171730c5">
Technical Guide to Manifold Markets
</a>
</li>
<li>
@ -323,11 +305,6 @@ function Contents() {
Paul Christiano: Prediction markets for internet points
</a>
</li>
<li>
<a href="https://manifold.markets/simulator">
Dynamic parimutuel market simulator
</a>
</li>
<li>
<a href="https://thezvi.wordpress.com/2021/12/02/covid-prediction-markets-at-polymarket/">
Zvi Mowshowitz on resolving prediction markets