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fezcode merged 1 commit into from
Feb 1, 2026
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WHY-16: Better Loading Component #16

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64 changes: 59 additions & 5 deletions public/rss.xml
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Original file line number Diff line number Diff line change
Expand Up @@ -9,14 +9,59 @@
<link>https://fezcode.com</link>
</image>
<generator>RSS for Node</generator>
<lastBuildDate>Sun, 18 Jan 2026 12:17:35 GMT</lastBuildDate>
<lastBuildDate>Sun, 01 Feb 2026 00:01:28 GMT</lastBuildDate>
<atom:link href="https://fezcode.com/rss.xml" rel="self" type="application/rss+xml"/>
<pubDate>Sun, 18 Jan 2026 12:17:35 GMT</pubDate>
<pubDate>Sun, 01 Feb 2026 00:01:28 GMT</pubDate>
<copyright><![CDATA[2026 Ahmed Samil Bulbul]]></copyright>
<language><![CDATA[en]]></language>
<managingEditor><![CDATA[samil.bulbul@gmail.com (Ahmed Samil Bulbul)]]></managingEditor>
<webMaster><![CDATA[samil.bulbul@gmail.com (Ahmed Samil Bulbul)]]></webMaster>
<ttl>60</ttl>
<item>
<title><![CDATA[Architecting Trust: 5 Patterns to Prevent Insider Threats]]></title>
<description><![CDATA[[object Object]]]></description>
<link>https://fezcode.com/blog/architecting-trust-preventing-insider-threats</link>
<guid isPermaLink="false">https://fezcode.com/blog/architecting-trust-preventing-insider-threats</guid>
<dc:creator><![CDATA[Ahmed Samil Bulbul]]></dc:creator>
<pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate>
<content:encoded><![CDATA[<h1>Architecting Trust: 5 Patterns to Prevent Insider Threats</h1>
<p><a href="https://fezcode.com/blog/architecting-trust-preventing-insider-threats">Read more...</a></p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Deep Link Configuration: Achieving a Global Parameter Observer in React]]></title>
<description><![CDATA[[object Object]]]></description>
<link>https://fezcode.com/blog/deep-link-configuration-with-url-parameters</link>
<guid isPermaLink="false">https://fezcode.com/blog/deep-link-configuration-with-url-parameters</guid>
<dc:creator><![CDATA[Ahmed Samil Bulbul]]></dc:creator>
<pubDate>Wed, 21 Jan 2026 00:00:00 GMT</pubDate>
<content:encoded><![CDATA[<h1>Deep Link Configuration: Achieving a Global Parameter Observer in React</h1>
<p><a href="https://fezcode.com/blog/deep-link-configuration-with-url-parameters">Read more...</a></p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Introducing Fezluxe: A Study in Refined Architectural Elegance]]></title>
<description><![CDATA[[object Object]]]></description>
<link>https://fezcode.com/blog/introducing-fezluxe-refined-architectural-elegance</link>
<guid isPermaLink="false">https://fezcode.com/blog/introducing-fezluxe-refined-architectural-elegance</guid>
<dc:creator><![CDATA[Ahmed Samil Bulbul]]></dc:creator>
<pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate>
<content:encoded><![CDATA[<h1>Introducing Fezluxe: A Study in Refined Architectural Elegance</h1>
<p><a href="https://fezcode.com/blog/introducing-fezluxe-refined-architectural-elegance">Read more...</a></p>]]></content:encoded>
</item>
<item>
<title><![CDATA[The FIFA Paradox: Why We Spend 14 Hours Playing Games We Hate]]></title>
<description><![CDATA[[object Object]]]></description>
<link>https://fezcode.com/blog/gun-and-ball</link>
<guid isPermaLink="false">https://fezcode.com/blog/gun-and-ball</guid>
<dc:creator><![CDATA[Ahmed Samil Bulbul]]></dc:creator>
<pubDate>Mon, 19 Jan 2026 00:00:00 GMT</pubDate>
<content:encoded><![CDATA[<blockquote>
<p><strong>⚠️ Disclaimer: Open Analysis</strong></p>
<p>This post explores game data using statistical analysis. Please note that while I am an experienced engineer,
I am not a specialized Data Scientist. I have made the code and data available <a href="https://github.com/fezcode/Project-Touch-Grass">in GitHub</a> for transparency.
If you find errors in the methodology or want to improve the model, I welcome your feedback and pull requests.</p>
</blockquote>
<p><a href="https://fezcode.com/blog/gun-and-ball">Read more...</a></p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Dying is Easy, Comedy is Statistically Impossible: An IMDbayes Analysis]]></title>
<description><![CDATA[[object Object]]]></description>
Expand Down Expand Up @@ -91,9 +136,18 @@ This ensured our statistical analysis was based on titles with a minimum level o
<p>To get deeper insights, I needed better math than simple means.</p>
<h4>Metric A: The Weighted Rating (Bayesian Average)</h4>
<p>How do you compare a movie with a 9.0 rating and 105 votes against an 8.2 rating with 500,000 votes? The latter score is more statistically significant.</p>
<p>I adopted IMDb&#39;s own <strong>Weighted Rating</strong> formula. This &quot;Bayesian average&quot; pulls a movie&#39;s rating toward the global average (C) if it has few votes (v),
only allowing it to deviate as it gains more votes over a threshold (m).</p>
<p><img src="/images/posts/wgsiw/formula.png" alt="Weighted Rating"></p>
<p>I adopted IMDb&#39;s own <strong>Weighted Rating</strong> formula. This &quot;Bayesian average&quot; pulls a movie&#39;s rating toward the global average $C$ if it has few votes $v$,
only allowing it to deviate as it gains more votes over a threshold $m$.</p>
<p>$$
WR = \left( \frac{v}{v+m} \cdot R \right) + \left( \frac{m}{v+m} \cdot C \right)
$$</p>
<p><strong>Where:</strong></p>
<ul>
<li>$R$ = Average Rating of the movie</li>
<li>$v$ = Number of votes for the movie</li>
<li>$m$ = Minimum votes required to be listed (Threshold: 100)</li>
<li>$C$ = Mean vote across the whole dataset</li>
</ul>
<p>This provided a fair &quot;Quality Score&quot; for every movie.</p>
<h4>Metric B: The p99 Ceiling</h4>
<p>I wanted to know the &quot;potential&quot; of a genre. Even if most Action movies are mediocre, how good are the very best ones?</p>
Expand Down
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