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	<title>Research &amp; Projects &#8211; Sherafgan Khan</title>
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	<title>Research &amp; Projects &#8211; Sherafgan Khan</title>
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		<title>Open Source Intelligence for Citizen and Investigative Journalists</title>
		<link>https://sherafy.com/open-source-intelligence-for-citizen-and-investigative-journalists/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Thu, 04 Jun 2026 11:17:08 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2381</guid>

					<description><![CDATA[Open source intelligence (OSINT) leverages publicly accessible information like records, satellite imagery, and social media for rigorous investigative work. Essential for journalists, OSINT enhances traditional reporting by emphasizing meticulous sourcing, preservation, and multi-layer verification methods. Key tools include Google Search, Wayback Machine, and satellite browsers, while workflows prioritize preservation and threat assessment. From political finance to environmental reporting, OSINT combines diverse databases and secure communication tools, forming a robust, ethical toolkit for trustworthy, transparent investigations.]]></description>
		
		
		
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		<title>When Numbers Stop Being Numbers</title>
		<link>https://sherafy.com/when-numbers-stop-being-numbers/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Wed, 06 May 2026 21:56:42 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2197</guid>

					<description><![CDATA[Why do casualty numbers lose emotional force as they grow larger? This reflective essay explores how humans understand — and often fail to understand — large numbers, from one million versus one billion to civilian casualty data in modern conflict. Drawing on observations from Objectivity AI’s year-long civic instinct cohort, the essay examines psychic numbing, scope insensitivity, casualty reporting, contested statistics, and the moral difference between correcting numbers and minimizing suffering. It argues that accuracy matters, but so does emotional context: when people debate whether a casualty figure is 70,000 or 100,000, the deeper issue is often not just the number, but whether the harm is being recognized at all.]]></description>
		
		
		
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		<title>Site Update: Audience Insights, New Structure, and “The Ambient”</title>
		<link>https://sherafy.com/site-update-audience-insights-new-structure-and-the-ambient/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Tue, 28 Apr 2026 21:00:32 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<category><![CDATA[Updates]]></category>
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					<description><![CDATA[Recent site analysis and collaboration with research networks have clarified how this site is actually used. While the audience spans many backgrounds, engagement consistently falls into four focused groups: parents using early development and nutrition tools, fuel and aviation professionals relying on technical calculators, geopolitical researchers analyzing policy and global events, and readers exploring health and medically grounded content. These groups tend to stay within their domain, with little crossover. In response, the site will be restructured with clearer categories and more targeted content, improving usability without narrowing scope. Alongside this, *The Ambient* continues as a fictional narrative exploring geopolitical themes through a dramatized lens.
]]></description>
		
		
		
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		<title>People Lie, Numbers Don’t: How Math Reveals Fabricated Data</title>
		<link>https://sherafy.com/people-lie-numbers-dont-how-math-reveals-fabricated-data/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Mon, 22 Dec 2025 19:29:01 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=1863</guid>

					<description><![CDATA[Discover how a quirky mathematical rule from the 1930s—Benford’s Law—is powering today’s AI systems to detect data fraud. From tax evasion and corporate manipulation to election anomalies and fake scientific papers, this article explores how math and machine learning are exposing fabricated data across industries. Learn how auditors, regulators, and journalists use statistical fingerprints to fight misinformation. If you care about data integrity in the age of AI, this deep dive reveals the math behind the truth.]]></description>
		
		
		
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		<title>SFK-GICRI</title>
		<link>https://sherafy.com/sfk-gicri/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sun, 12 Apr 2020 11:31:28 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=124</guid>

					<description><![CDATA[Introduction The SFK Global Intelligence and Cognitive Reasoning Inventory is a hybrid of a traditional intelligence test, paired with an intelligence inventory. The SFK-GICRI aims to circumvent regular IQ tests that have right or wrong answers. In contrast, the SFK-GICRI has a preset score for each answer submitted by the candidate. The tiered scoring system [&#8230;]]]></description>
		
		
		
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		<title>MSF Access: Making Access a Reality</title>
		<link>https://sherafy.com/msf-access-making-access-a-reality/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Thu, 03 Apr 2014 05:03:00 +0000</pubDate>
				<category><![CDATA[Research & Projects]]></category>
		<category><![CDATA[Access Campaign]]></category>
		<category><![CDATA[Doctors Without Borders]]></category>
		<category><![CDATA[Médecins Sans Frontières]]></category>
		<category><![CDATA[MSF]]></category>
		<category><![CDATA[MSF Access]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=240</guid>

					<description><![CDATA[MSF Access: Making Access a Reality Khan, S., Gerritsen, AP., Singh, DP. (2014)DOI / Citations All organizations must start somewhere, and Médecins Sans Frontières (MSF) is no different. As with any startup story, its foundation lies loosely on a combination of historical facts and anecdotal tales. “Loosely” because the startup story of any organization is [&#8230;]]]></description>
		
		
		
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