<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fraud Watch UK</title><link>https://fraud-watch.co.uk/</link><description>Recent content on Fraud Watch UK</description><generator>Hugo</generator><language>en-gb</language><atom:link href="https://fraud-watch.co.uk/index.xml" rel="self" type="application/rss+xml"/><item><title>About Fraud Watch UK</title><link>https://fraud-watch.co.uk/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://fraud-watch.co.uk/about/</guid><description>&lt;h2 id="what-we-do"&gt;What we do&lt;/h2&gt;
&lt;p&gt;Fraud Watch UK is an independent, open-source project that analyses publicly available UK government data to identify statistical patterns in public spending that may warrant further investigation.&lt;/p&gt;
&lt;p&gt;We cross-reference five official data sources to surface connections between government contracts, political donations, company directors, and charity trustees that might otherwise go unnoticed.&lt;/p&gt;
&lt;h2 id="methodology"&gt;Methodology&lt;/h2&gt;
&lt;p&gt;Our analysis pipeline:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;&lt;strong&gt;Automated ingestion&lt;/strong&gt; of data from Contracts Finder, Find a Tender, Companies House, the Charity Commission, and the Electoral Commission.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Cross-entity matching&lt;/strong&gt; using normalised name comparison and company number linking across all five datasets.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Statistical pattern detection&lt;/strong&gt; identifying direct awards, value outliers, timing anomalies (e.g. contracts awarded shortly after donations), and network clusters (shared directors, addresses, or governance roles).&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;AI-assisted analysis&lt;/strong&gt; to evaluate patterns, with every finding reviewed by a human before publication.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Right-of-reply&lt;/strong&gt; offered to every named party before and after publication.&lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id="what-we-are-not"&gt;What we are NOT&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;We are &lt;strong&gt;not&lt;/strong&gt; making accusations of wrongdoing.&lt;/li&gt;
&lt;li&gt;We are &lt;strong&gt;not&lt;/strong&gt; a law enforcement body or regulatory authority.&lt;/li&gt;
&lt;li&gt;We are &lt;strong&gt;not&lt;/strong&gt; publishing personal data beyond what is already in official public registers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Every finding on this site represents a statistical pattern that we believe warrants further scrutiny. Many legitimate explanations may exist for any pattern we identify.&lt;/p&gt;</description></item><item><title>Support Fraud Watch UK</title><link>https://fraud-watch.co.uk/donate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://fraud-watch.co.uk/donate/</guid><description>&lt;h2 id="why-donate"&gt;Why donate?&lt;/h2&gt;
&lt;p&gt;Fraud Watch UK runs entirely on public data and volunteer time. There are no advertisers, no corporate sponsors, and no editorial pressure. Your donation helps pay for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Server and domain costs&lt;/strong&gt; to keep this site online&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;API access fees&lt;/strong&gt; for data sources that require subscriptions&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Development time&lt;/strong&gt; to improve the analysis pipeline and add new data sources&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Legal review&lt;/strong&gt; to ensure our findings are defensible and fair&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="donate-via-ko-fi"&gt;Donate via Ko-fi&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://ko-fi.com/fraudwatch" class="btn btn-primary btn-large" target="_blank" rel="noopener"&gt;Support us on Ko-fi&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>