When a service member believes they were singled out for court-martial because of race, religion, sex, or some other protected characteristic, while similarly situated members who did the same thing were not charged, the member may raise a claim of selective prosecution. A common instinct is to support that claim with statistics: data suggesting that members of one group are charged at higher rates than others. Statistical discrimination data can be relevant to a selective-prosecution claim, but the law sets a demanding standard, and raw numbers alone rarely carry the day. Understanding what the data must show, and what it must be paired with, is essential.
Selective prosecution is a constitutional claim
Selective prosecution is rooted in the equal protection guarantee. The military, like the civilian system, may not base a charging decision on an unjustifiable standard such as race, religion, or other arbitrary classification. The controlling framework comes from the Supreme Court’s decision in United States v. Armstrong, 517 U.S. 456 (1996), which governs selective-prosecution claims and the related question of when a defendant is entitled to discovery to support such a claim. Military courts apply this constitutional standard.
The two elements: discriminatory effect and discriminatory purpose
Under Armstrong, a defendant claiming selective prosecution must prove two things. First, discriminatory effect, meaning that similarly situated individuals of a different group were not prosecuted. Second, discriminatory purpose, meaning that the decision to prosecute was actually motivated by a discriminatory intent. Both elements are required. It is not enough to show that a charging pattern falls more heavily on one group; the claimant must also show that the government was motivated by discrimination, and must identify similarly situated people who escaped prosecution.
This is where statistical data fits, and also where it runs into limits. Statistics can be powerful evidence of discriminatory effect, because comparative charging rates can suggest that similarly situated members of other groups were treated differently. But statistics standing alone usually struggle to prove discriminatory purpose. Numbers can show a disparity; they do not, by themselves, prove that a particular prosecutor or convening authority charged this particular member because of a protected characteristic. The “similarly situated” requirement is also strict: the comparison group must be genuinely comparable in the relevant respects, such as the nature and seriousness of the offense, the strength of the evidence, and the member’s record. Aggregate statistics that lump together dissimilar cases tend to fail this test.
The high bar even to get discovery
Armstrong is also important for what it requires before a defendant can even obtain the government’s files to build a statistical case. To be entitled to discovery on a selective-prosecution claim, the defendant must first produce some credible evidence tending to show the existence of both elements, that is, evidence that similarly situated individuals of a different group could have been prosecuted but were not, along with some indication of discriminatory intent. The courts of appeals require this threshold showing precisely because a selective-prosecution inquiry intrudes on the discretion ordinarily afforded to those who make charging decisions. In Armstrong itself, the Supreme Court reversed a discovery order because the defendants had not produced evidence that the government failed to prosecute similarly situated members of other groups. The lesson is that a defendant cannot use a bare statistical hunch as a key to unlock the government’s charging records; some credible threshold evidence must come first.
So can statistical data be introduced? Yes, with conditions
The practical answer is that statistical discrimination data can be introduced and can be relevant and admissible to support a selective-prosecution claim, but it must satisfy several conditions to be useful. The data should compare genuinely similarly situated members, controlling for the factors that legitimately drive charging decisions. It should be reliable and methodologically sound, the kind of analysis that can withstand scrutiny rather than a superficial tally. And it ordinarily must be combined with additional evidence bearing on discriminatory purpose, because effect alone does not establish the claim. Strong statistical disparities among truly comparable cases can support an inference of intent, but courts are cautious about treating disparity as proof of motive.
In military practice, a selective-prosecution claim is typically raised before trial through a motion to the military judge seeking appropriate relief, which can include dismissal of the affected charges. The defense bears the burden, and the judge evaluates whether the showing meets the Armstrong standard, both for any requested discovery and for the ultimate claim. The Military Rules of Evidence govern the admissibility of any statistical or expert evidence offered, so the data must also clear ordinary relevance and reliability hurdles.
Why the standard is so demanding
The stringency reflects the strong presumption that those who make charging decisions act in good faith and within their lawful discretion. Equal protection forbids invidious discrimination, but it does not turn every statistical disparity into proof of misconduct. Requiring both effect and purpose, demanding a genuine similarly situated comparison, and setting a credible-evidence threshold for discovery all guard against converting routine prosecutorial discretion into endless litigation while still preserving a remedy for true discrimination.
Bottom line
Statistical discrimination data can be introduced to support a defense claim of selective prosecution, and it can be especially relevant to the discriminatory-effect element. But under United States v. Armstrong, which military courts follow, the data must compare genuinely similarly situated members, it must be reliable, and it almost always must be paired with evidence of discriminatory purpose. The same standard governs whether the defense can obtain discovery in the first place, requiring credible threshold evidence of both elements before the government’s charging records become available. A service member who suspects selective prosecution should work with experienced military defense counsel to assemble a comparison that is rigorous enough to meet this high bar, because numbers alone, without a sound methodology and evidence of intent, will not satisfy it.
Disclaimer
This article is provided strictly for general educational and informational purposes. It is intended to explain how the Uniform Code of Military Justice (UCMJ), the Rules for Courts-Martial, the Military Rules of Evidence, and related military administrative processes work as a matter of public legal education. It does not constitute legal advice, a legal opinion, or a recommendation about any particular case, and it is not a substitute for advice from a qualified military defense attorney who can evaluate the specific facts and command, service, and jurisdictional circumstances involved.
Reading this article, or contacting any website on which it appears, does not create an attorney-client relationship between the reader and any law firm, attorney, or author. Every court-martial, nonjudicial punishment action, administrative separation, and security-clearance matter turns on its own facts, the charged articles, the convening authority, the service branch, and the evidence, and outcomes vary widely from one case to another.
Military law also changes over time. The Military Justice Act of 2016 (effective January 1, 2019) and subsequent National Defense Authorization Acts renumbered and rewrote many punitive articles, revised the Article 32 preliminary hearing, and altered sentencing, clemency, and appellate procedures. Statutes, regulations, executive orders, the Manual for Courts-Martial, and decisions of the service Courts of Criminal Appeals and the Court of Appeals for the Armed Forces may have been amended, superseded, or reinterpreted after this article was written, and article numbers or procedures cited here may have changed.
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