<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>critical thinking on Digitable Courses</title>
    <link>https://courses.digitable.life/en/tags/critical-thinking/</link>
    <description>Recent content in critical thinking on Digitable Courses</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-US</language>
    <lastBuildDate>Wed, 29 Jul 2026 12:00:00 +0300</lastBuildDate><atom:link href="https://courses.digitable.life/en/tags/critical-thinking/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Catalog of fallacies: 67 techniques with examples and answers</title>
      <link>https://courses.digitable.life/en/post/logic/13-fallacy-catalog/</link>
      <pubDate>Wed, 29 Jul 2026 12:00:00 +0300</pubDate>
      
      <guid>https://courses.digitable.life/en/post/logic/13-fallacy-catalog/</guid>
      <description>Full course reference: six fallacy families, sixty-seven fallacies, each with a substitution mechanics, everyday example, engineering case, and working answer.</description>
    </item>
    
    <item>
      <title>Logic Workshop: Argument Walkthrough from Thesis to Correction</title>
      <link>https://courses.digitable.life/en/post/logic/12-practice-cases-and-checklists/</link>
      <pubDate>Tue, 28 Jul 2026 12:00:00 +0300</pubDate>
      
      <guid>https://courses.digitable.life/en/post/logic/12-practice-cases-and-checklists/</guid>
      <description>Unified analysis card, diagnostic tree, engineering and everyday cases, tasks with solutions and the format on which the interactive trainer will be built.</description>
    </item>
    
    <item>
      <title>Causal, probabilistic and statistical fallacies</title>
      <link>https://courses.digitable.life/en/post/logic/09-causal-probabilistic-statistical-fallacies/</link>
      <pubDate>Tue, 28 Jul 2026 11:30:00 +0300</pubDate>
      
      <guid>https://courses.digitable.life/en/post/logic/09-causal-probabilistic-statistical-fallacies/</guid>
      <description>Correlation and causality, confounding factors, base rate, prosecutor&amp;rsquo;s fallacy, survivorship, regression to the mean, small samples, p-hacking, Simpson&amp;rsquo;s paradox and honest work with uncertainty.</description>
    </item>
    
    <item>
      <title>Logic and Fallacies: Learning Map from Aristotle to Engineering Solutions</title>
      <link>https://courses.digitable.life/en/post/logic/00-overview/</link>
      <pubDate>Tue, 28 Jul 2026 10:00:00 +0300</pubDate>
      
      <guid>https://courses.digitable.life/en/post/logic/00-overview/</guid>
      <description>How a good reasoning is structured, why a catalog of names does not replace analysis, and what route to follow from concepts and syllogisms to causality, statistics, and argumentation in development.</description>
    </item>
    
  </channel>
</rss>
