<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistical-Analysis on LegalRealist AI</title><link>https://legalrealist.ai/tags/statistical-analysis/</link><description>Recent content in Statistical-Analysis on LegalRealist AI</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hi@legalrealist.ai (LegalRealist AI)</managingEditor><webMaster>hi@legalrealist.ai (LegalRealist AI)</webMaster><copyright>© 2026 LegalRealist AI</copyright><lastBuildDate>Wed, 20 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://legalrealist.ai/tags/statistical-analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>I Built the Backtest: What Excluded Medicare Providers Look Like Before They Get Caught</title><link>https://legalrealist.ai/posts/37-backtest-results/</link><pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate><author>hi@legalrealist.ai (LegalRealist AI)</author><guid>https://legalrealist.ai/posts/37-backtest-results/</guid><description>The previous post described a Medicare fraud backtest nobody had built. I built it. 289 excluded providers across 41 states, matched to pre-exclusion billing data, compared against 3.39 million peers. Thirteen of fifteen features showed statistically significant differences — and the behavioral fingerprint is consistent enough to predict fraud in providers who were never excluded.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://legalrealist.ai/posts/37-backtest-results/feature.png"/></item></channel></rss>