
People Lie, Numbers Don’t: How Math Reveals Fabricated Data
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
Sherafy’s 2026 California Voter Guide brings our election research into one place, with clear recommendations and links to the full evidence behind each one.

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

Can honeybee venom really kill cancer cells? This in-depth article explores the science behind melittin, the powerful peptide in bee venom that punctures tumor cells,

This science‑driven breakdown explores why a targeted combination of common over‑the‑counter medications—acetaminophen, aspirin, caffeine, ibuprofen, cetirizine, hydration, and micronutrient support—can relieve headaches faster and more

This analysis examines the top non-FARA, foreign-connected organizations shaping U.S. political finance during the 2024 election cycle. Drawing on verified data from OpenSecrets, it ranks

The assassination of Charlie Kirk quickly became more than a criminal case—it became a referendum on trust, evidence, and who gets to define truth. This

Southwest Airlines’ “Customer of Size” policy sparked backlash over body discrimination, but the math tells a different story. With seats measuring about 17 inches wide,

Imagine discovering that the most familiar force in your life—the one that keeps your feet on the ground and coffee in your cup—might not exist

An evidence-based examination of the narratives that shape one of the world’s most intractable conflicts

Explore the Jeffrey Epstein case through evidence-based analysis of his intelligence connections, alleged blackmail operations, and patterns of systemic cover-up. This article challenges the “conspiracy

Only about 8% of Gazans alive today voted for Hamas in 2006; most never had the chance, making collective blame factually inaccurate and misleading.