<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Proof, trust &amp; deception | SIGNULL</title><link>https://signull.cc/proof/</link><description>A specialist desk for checking online claims and understanding digital evidence. Practical guides to sources, screenshots and the information worth keeping in context.</description><item><title>How marketplace sellers fake reputation</title><link>https://signull.cc/proof/how-marketplace-sellers-fake-reputation/</link><guid isPermaLink="true">https://signull.cc/proof/how-marketplace-sellers-fake-reputation/</guid><description>Fake reputation is rarely one trick. It is a stack of bought reviews, feedback farming, inherited ratings, suppressed complaints and signals that look more independent than they are.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How reverse-image search works</title><link>https://signull.cc/proof/how-reverse-image-search-works/</link><guid isPermaLink="true">https://signull.cc/proof/how-reverse-image-search-works/</guid><description>You give the search engine a picture instead of words. Behind the upload box, it turns that picture into machine-readable features and asks a much narrower question: what in my index looks like this?</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How review manipulation works</title><link>https://signull.cc/proof/how-review-manipulation-works/</link><guid isPermaLink="true">https://signull.cc/proof/how-review-manipulation-works/</guid><description>The easiest way to distort a five-star rating is not always to invent a review. It is to control who gets asked, what gets counted and what disappears.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How to audit a viral claim</title><link>https://signull.cc/proof/how-to-audit-a-viral-claim/</link><guid isPermaLink="true">https://signull.cc/proof/how-to-audit-a-viral-claim/</guid><description>Separate the claim from the post, trace it to origin, test the evidence, then decide what the evidence actually supports.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How to spot purchased comments</title><link>https://signull.cc/proof/how-to-spot-purchased-comments/</link><guid isPermaLink="true">https://signull.cc/proof/how-to-spot-purchased-comments/</guid><description>A wall of generic praise is suspicious, not conclusive. Bought comments reveal themselves more reliably through patterns in relevance, timing, accounts and conversation.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How Telegram impersonation scams work</title><link>https://signull.cc/proof/telegram-impersonation-scams/</link><guid isPermaLink="true">https://signull.cc/proof/telegram-impersonation-scams/</guid><description>The scam usually does not depend on a sophisticated Telegram exploit. It borrows a trusted identity, moves the conversation into private, and tries to make you act before you verify who is actually messaging.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Why HTTPS does not mean a site is trustworthy</title><link>https://signull.cc/proof/why-https-does-not-mean-site-trustworthy/</link><guid isPermaLink="true">https://signull.cc/proof/why-https-does-not-mean-site-trustworthy/</guid><description>HTTPS can protect the connection to a fraudulent website just as effectively as it protects the connection to a legitimate one. The encryption is real. The trust conclusion is not.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate></item></channel></rss>