{"id":151,"date":"2025-07-17T14:18:19","date_gmt":"2025-07-17T14:18:19","guid":{"rendered":"https:\/\/www.ampcusforensics.com\/blogs\/?p=151"},"modified":"2025-07-17T18:34:43","modified_gmt":"2025-07-17T18:34:43","slug":"when-the-data-betrays-you-how-simpsons-paradox-can-undermine-your-case","status":"publish","type":"post","link":"https:\/\/www.ampcusforensics.com\/blogs\/when-the-data-betrays-you-how-simpsons-paradox-can-undermine-your-case\/","title":{"rendered":"When the Data Betrays You: How Simpson\u2019s Paradox Can Undermine Your Case"},"content":{"rendered":"
<\/div>\n

You\u2019ve built a case on clean, compelling data. You\u2019ve got the trends, the metrics, the story.<\/strong> But what if that story is incomplete\u2014or worse, misleading?<\/p>\n

In high-stakes litigation, attorneys often rely on aggregated data to prove or defend against claims. But beneath those polished averages could be a statistical trap that even seasoned litigators and experts overlook. It\u2019s called Simpson\u2019s Paradox,<\/strong> and it\u2019s more than a math problem\u2014it\u2019s a legal landmine.<\/p>\n

At Ampcus Forensics,<\/strong> we\u2019ve seen how this subtle paradox has unraveled arguments, disqualified expert testimony, and flipped the narrative in depositions and courtrooms alike. This article breaks it down\u2014clearly, practically\u2014and shows how you can protect your case by asking the right questions and using the right tools.<\/p>\n

\u2696\ufe0f Simpson\u2019s Paradox, Simply Put<\/h3>\n

\"Simpson's<\/p>\n

Simpson\u2019s Paradox occurs when a trend in aggregate data reverses <\/strong>when the data is broken down into smaller groups.<\/p>\n

Let\u2019s say you\u2019re handling a gender discrimination case. Your top-line data shows men are promoted at a higher rate. But when you break it down by department, women are actually being promoted more often.<\/p>\n

One dataset. Two opposite conclusions.<\/strong>
\n That\u2019s the paradox.<\/p>\n

Where This Paradox Plays Out in Your Practice<\/h3>\n