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Why Courts Should Not Quantify Probable CauseOrin S. KerrGeorge Washington University - Law School GWU Law School Public Law Research Paper No. 543 Abstract: Probable cause is one of the fundamental concepts of Fourth Amendment law, but the Supreme Court has refused to quantify it. The Court has described probable cause as a "fair probability," but it has declined to explain just how likely a "fair" probability might be. Does a "fair probability" mean a 50% likelihood? A 40% likelihood? And why won't the Justices say? Are they just afraid of math? This essay argues that courts should not quantify probable cause because quantification would produce less accurate probable cause determinations. The core problem is that information critical to probable cause is often left out of affidavits in support of warrants: Although affidavits say what techniques police tried that added to cause, they generally leave out both what the police tried that did not add to cause and what techniques the police never tried. Determining probable cause accurately often requires this information, however. By leaving probable cause unquantified, current law enables judges to use their intuition and situation-sense to recognize when missing information is likely important to assessing probable cause. Quantification would lead to less accurate probable cause determinations by disabling those intuitions, creating the false impression that the information provided in the affidavit is the only relevant information. Cognitive biases such as the representativeness heuristic and anchoring effects would allow the government to create the false impression that a low-probability event was actually a high-probability event. To ensure accurate probable cause determinations, then, probable cause should remain unquantified. The result is counter-intuitive but true: Knowing less about probable cause improves how the standard is applied.
Number of Pages in PDF File: 14 Keywords: Fourth Amendment, probable cause, warrants JEL Classifications: K1, K14 Accepted Paper SeriesDate posted: March 30, 2011Suggested CitationContact Information
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