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    <title>Two Psychologists Four Beers - Episodes Tagged with “Dead Goose”</title>
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    <pubDate>Sat, 10 Jan 2026 11:15:00 -0500</pubDate>
    <description>Two psychologists endeavor to drink four beers while discussing news and controversies in science, academia, and beyond.
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    <itunes:author>Yoel Inbar, Michael Inzlicht, and Alexa Tullett</itunes:author>
    <itunes:summary>Two psychologists endeavor to drink four beers while discussing news and controversies in science, academia, and beyond.
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  <title>Episode 126: Using AI to Improve Science (with Paul Litvak)</title>
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  <author>Yoel Inbar, Michael Inzlicht, and Alexa Tullett</author>
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  <itunes:episode>126</itunes:episode>
  <itunes:title>Using AI to Improve Science (with Paul Litvak)</itunes:title>
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  <itunes:author>Yoel Inbar, Michael Inzlicht, and Alexa Tullett</itunes:author>
  <itunes:subtitle>Paul Litvak joins the show to talk about how AI tools can help us measure research quality and assess evidence in the scientific literature. His first project is a way to extract test statistics and p-values from papers automatically, with no manual coding needed. We also talk about legendary researcher Robin Dawes (for whom Paul's non-profit is named) and Paul's exit from academia. Plus, Yoel reveals a shameful secret about his use of AI.</itunes:subtitle>
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  <description>Paul Litvak joins the show to talk about how AI tools can help us measure research quality and assess evidence in the scientific literature. His first project is a way to extract test statistics and p-values from papers automatically, with no manual coding needed. We also talk about Paul's non-profit dedicated to improving the reliability of scientific research, the legendary judgment and decision making scholar Robin Dawes (whose entirely algorithmic approach to graduate student selection once went terribly awry), and Paul's exit from academia. Plus, Yoel reveals a shameful secret about his use of AI. Special Guest: Paul Litvak.
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  <itunes:keywords>AI, p-curve, Robin Dawes, meta-science</itunes:keywords>
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    <![CDATA[<p>Paul Litvak joins the show to talk about how AI tools can help us measure research quality and assess evidence in the scientific literature. His first project is a way to extract test statistics and p-values from papers automatically, with no manual coding needed. We also talk about Paul&#39;s non-profit dedicated to improving the reliability of scientific research, the legendary judgment and decision making scholar Robin Dawes (whose entirely algorithmic approach to graduate student selection once went terribly awry), and Paul&#39;s exit from academia. Plus, Yoel reveals a shameful secret about his use of AI.</p><p>Special Guest: Paul Litvak.</p><p>Links:</p><ul><li><a title="What If Everyone Knew Which Science to Trust?" rel="nofollow" href="https://www.paullitvak.com/p/what-if-everyone-knew-which-science">What If Everyone Knew Which Science to Trust?</a></li><li><a title="evidence.guide" rel="nofollow" href="https://evidence.guide/">evidence.guide</a></li><li><a title="The Robyn Dawes Institute for the Improvement of Science" rel="nofollow" href="https://dawes.institute/">The Robyn Dawes Institute for the Improvement of Science</a></li><li><a title="Why are so many professors conservative? - by Paul Bloom" rel="nofollow" href="https://smallpotatoes.paulbloom.net/p/why-are-so-many-professors-conservative">Why are so many professors conservative? - by Paul Bloom</a></li><li><a title="Science is a strong-link problem - by Adam Mastroianni" rel="nofollow" href="https://www.experimental-history.com/p/science-is-a-strong-link-problem">Science is a strong-link problem - by Adam Mastroianni</a></li></ul>]]>
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    <![CDATA[<p>Paul Litvak joins the show to talk about how AI tools can help us measure research quality and assess evidence in the scientific literature. His first project is a way to extract test statistics and p-values from papers automatically, with no manual coding needed. We also talk about Paul&#39;s non-profit dedicated to improving the reliability of scientific research, the legendary judgment and decision making scholar Robin Dawes (whose entirely algorithmic approach to graduate student selection once went terribly awry), and Paul&#39;s exit from academia. Plus, Yoel reveals a shameful secret about his use of AI.</p><p>Special Guest: Paul Litvak.</p><p>Links:</p><ul><li><a title="What If Everyone Knew Which Science to Trust?" rel="nofollow" href="https://www.paullitvak.com/p/what-if-everyone-knew-which-science">What If Everyone Knew Which Science to Trust?</a></li><li><a title="evidence.guide" rel="nofollow" href="https://evidence.guide/">evidence.guide</a></li><li><a title="The Robyn Dawes Institute for the Improvement of Science" rel="nofollow" href="https://dawes.institute/">The Robyn Dawes Institute for the Improvement of Science</a></li><li><a title="Why are so many professors conservative? - by Paul Bloom" rel="nofollow" href="https://smallpotatoes.paulbloom.net/p/why-are-so-many-professors-conservative">Why are so many professors conservative? - by Paul Bloom</a></li><li><a title="Science is a strong-link problem - by Adam Mastroianni" rel="nofollow" href="https://www.experimental-history.com/p/science-is-a-strong-link-problem">Science is a strong-link problem - by Adam Mastroianni</a></li></ul>]]>
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