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    <title>Multi Academic Journal — Research</title>
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    <description>New findings across disciplines, explained with strength-of-evidence framing (preprints vs replicated)</description>
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      <title>How to Read a Preprint: Evaluating Research Before Peer Review</title>
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      <description><![CDATA[A preprint can carry real evidence or real errors. Here is what to check before you trust either.]]></description>
      <pubDate>Tue, 08 Sep 2026 05:30:44 GMT</pubDate>
      <dc:creator>Victor Petrov</dc:creator>
      <category>Research</category>
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      <title>Randomization and Blinding: The Boring Machinery Behind Trustworthy Trials</title>
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      <description><![CDATA[What each word in 'randomized double-blind placebo-controlled trial' plugs, why concealment and blinding inflate effects when missing, and 5 checks for…]]></description>
      <pubDate>Thu, 23 Jul 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>A &apos;Significant&apos; Result Can Be Trivial. Effect Size Tells You Which.</title>
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      <description><![CDATA[Significance asks whether an effect exists; effect size asks whether it matters. Cohen's d, absolute vs relative risk, and how to read estimates first.]]></description>
      <pubDate>Tue, 30 Jun 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>It Worked in Mice: Why Animal Findings Rarely Reach the Clinic</title>
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      <description><![CDATA[About 90% of drugs entering human trials fail. Why mouse models, weak preclinical design and homogeneity drive the animal-to-human translation gap.]]></description>
      <pubDate>Sun, 07 Jun 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>The Margin of Error Is the Least of a Survey&apos;s Problems</title>
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      <description><![CDATA[A poll's +/- 3 covers only sampling wobble. How weighting, nonresponse and wording move results further, per AAPOR's 2016 election post-mortem.]]></description>
      <pubDate>Sat, 16 May 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>Correlation Is Not Causation: How Study Design Decides the Argument</title>
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      <description><![CDATA[Why randomization settles causal arguments, how the Women's Health Initiative reversed observational findings, and how to judge observational claims.]]></description>
      <pubDate>Thu, 23 Apr 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>Underpowered Studies Find Too Much, and Too Big</title>
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      <description><![CDATA[Studies with low statistical power miss true effects and exaggerate the ones they find. How power works, why neuroscience ran near 21%, and what to check.]]></description>
      <pubDate>Tue, 31 Mar 2026 04:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>The Replication Crisis, Explained: What Broke, and What Got Rebuilt</title>
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      <description><![CDATA[Only ~36% of 100 famous psychology studies replicated in 2015. What the replication crisis broke, what other fields found, and what got rebuilt.]]></description>
      <pubDate>Sun, 08 Mar 2026 05:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>Preprints Are Not Unpublished Results. But They Are Not Proven Either.</title>
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      <description><![CDATA[Preprints are citable, DOIminted research without peer review. What posting guarantees, how often preprints change, and when citing one is reasonable.]]></description>
      <pubDate>Sat, 14 Feb 2026 05:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>Meta-analyses Promise One Answer From Many Studies. Here&apos;s How They Try.</title>
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      <description><![CDATA[Forest plots look authoritative, but a meta-analysis is only as strong as its protocol, inclusion rules and bias checks. How to read one in four steps.]]></description>
      <pubDate>Thu, 22 Jan 2026 05:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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      <title>What a p-value Actually Tells You, and What It Never Will</title>
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      <description><![CDATA[A p-value of 0.03 is not a 97% chance of truth. What p-values mean, why 0.05 became the border, and how strong the evidence against threshold worship is.]]></description>
      <pubDate>Tue, 30 Dec 2025 05:00:00 GMT</pubDate>
      <dc:creator>Samuel Achebe</dc:creator>
      <category>Research</category>
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