<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: jonbecker</title><link>https://news.ycombinator.com/user?id=jonbecker</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 14 Apr 2026 17:12:39 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jonbecker" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by jonbecker in "The microstructure of wealth transfer in prediction markets"]]></title><description><![CDATA[
<p>If we weight by contracts purchased the gap is 1.02%, dollar weighted the gap is 1.00%.<p>I'm glad you enjoyed the paper :)</p>
]]></description><pubDate>Mon, 19 Jan 2026 18:54:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=46682944</link><dc:creator>jonbecker</dc:creator><comments>https://news.ycombinator.com/item?id=46682944</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46682944</guid></item><item><title><![CDATA[New comment by jonbecker in "The microstructure of wealth transfer in prediction markets"]]></title><description><![CDATA[
<p>super interesting, re: spending money to move the line is just another form of non-profit-seeking "consumption."<p>i didn't filter for manipulation specifically, but i did find that politics was actually one of the most efficient categories (only ~1% maker/taker gap), suggesting the market absorbs those flows pretty well.</p>
]]></description><pubDate>Mon, 19 Jan 2026 18:32:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=46682707</link><dc:creator>jonbecker</dc:creator><comments>https://news.ycombinator.com/item?id=46682707</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46682707</guid></item><item><title><![CDATA[New comment by jonbecker in "The microstructure of wealth transfer in prediction markets"]]></title><description><![CDATA[
<p>i understand how probability works. the "93 cents" vs "43 cents" comparison is looking at realized historical data, not theoretical odds. if the markets were efficiently priced, you would get 100% back. the entire point of the paper is showing that, historically, they aren't efficiently priced (longshots return ~43%), and explaining who captures that inefficiency.</p>
]]></description><pubDate>Mon, 19 Jan 2026 18:26:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=46682649</link><dc:creator>jonbecker</dc:creator><comments>https://news.ycombinator.com/item?id=46682649</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46682649</guid></item><item><title><![CDATA[New comment by jonbecker in "The microstructure of wealth transfer in prediction markets"]]></title><description><![CDATA[
<p>tl;dr<p>dataset: 72.1m trades and $18.26b volume on kalshi (2021-2025)<p>core findings:<p>longshot bias: well documented longshot bias is present on kalshi. low probability contracts are systematically overpriced. contracts trading at 5 cents only win 4.18% of the time.<p>wealth transfer: liquidity takers lose money (-1.12% excess return) while liquidity makers earn it (+1.12%).<p>optimism tax: the losses are driven by a preference for "yes" outcomes. buying "yes" at 1 cent has a -41% expected value. buying "no" at 1 cent has a +23% expected value.<p>category variation: finance markets are efficient (0.17% maker-taker gap) while high-engagement categories like media and world events are inefficient (>7% gap).<p>mechanism: makers do not win by out-forecasting takers. they win by passively selling "yes" contracts to optimistic bettors</p>
]]></description><pubDate>Mon, 19 Jan 2026 16:05:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=46680516</link><dc:creator>jonbecker</dc:creator><comments>https://news.ycombinator.com/item?id=46680516</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46680516</guid></item><item><title><![CDATA[The microstructure of wealth transfer in prediction markets]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.jbecker.dev/research/prediction-market-microstructure">https://www.jbecker.dev/research/prediction-market-microstructure</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46680515">https://news.ycombinator.com/item?id=46680515</a></p>
<p>Points: 233</p>
<p># Comments: 187</p>
]]></description><pubDate>Mon, 19 Jan 2026 16:05:50 +0000</pubDate><link>https://www.jbecker.dev/research/prediction-market-microstructure</link><dc:creator>jonbecker</dc:creator><comments>https://news.ycombinator.com/item?id=46680515</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46680515</guid></item></channel></rss>