Sailer's Law of Mass Shootings: The Wounded-to-Killed Ratio
Why more wounded than killed usually points to one demographic—and what the data actually shows.
In the frantic hours after any mass shooting in America, a familiar script unfolds. Cable networks fill airtime with helicopter footage and survivor interviews. Politicians rush to microphones to blame guns, mental health, or their favorite ideological villain. And newsrooms hesitate—sometimes for days—before releasing details about the shooter’s identity, background, or motive (If they do at all).
Yet for those who track raw casualty figures—specifically the ratio of people wounded versus killed—a clearer, faster signal often emerges long before the official narrative solidifies. This signal is what writer, demographer, and social commentator Steve Sailer has formalized as Sailer’s Law of Mass Shootings.
The law is straightforward and empirically testable: In incidents involving four or more casualties (people shot, excluding the shooter), if more people are wounded than killed, the shooter or shooters are likely Black. If more are killed than wounded, the shooter is likely not Black.
Sailer first tweeted the observation in March of 2021 and has elaborated on it repeatedly on his blog, at Unz Review, and on X. It is not a “law” in the immutable physics sense—Sailer has called it a high-probability statistical tendency that holds roughly 80% of the time or better—but a pattern derived from thousands of incidents in the Gun Violence Archive (GVA) and cross-checked against FBI crime data.1
Origins: Broad Data vs. Media-Friendly Definitions
The foundation is the GVA’s deliberately inclusive definition: any shooting with four or more people hit by gunfire, regardless of location, motive, or outcome. This captures the vast majority of American gun violence—urban gang disputes, block-party retaliations, interpersonal conflicts—rather than the narrower “public rampage” or “active shooter” definitions favored by outlets like Mother Jones or The Violence Project (which often require four or more deaths in a public place, excluding gang and domestic cases).
The narrower lens overrepresents high-lethality, premeditated attacks by lone actors and thus skews media coverage toward White perpetrators. The broader GVA lens reveals the full, messier picture: the weekend-after-weekend drumbeat of shootings in cities that dominate national gun-violence totals.2
Sailer’s Law emerged from years of noticing these regularities in public data. It aligns with broader FBI Uniform Crime Reports showing persistent racial disparities in homicide offending rates (Blacks, roughly 13% of the population, account for about 50% of known murder offenders in recent years). Mass-shooting subtypes simply reflect those underlying patterns differentiated by style and intent.
Why the Ratio Predicts Race: Tactics, Motive, and Marksmanship
The pattern is not mystical or biological determinism. It flows from observable differences in perpetrator behavior, weapons choice, and goals:
High-wounded incidents (more injured than dead) typically involve handguns fired in chaotic, close-range, crowded settings—parties, street corners, nightclubs, or block parties. Multiple shooters are common. The objective is often intimidation, retaliation, or dominance followed by escape. Shooters “spray and pray,” prioritizing volume of fire and getaway over precision. They rarely linger to finish off the wounded because they intend to survive the encounter. Accuracy suffers from movement, panic, poor training, and cultural norms around handgun use.3
High-killed incidents (more dead than wounded) more often feature lone, suicidal, or grievance-driven actors who have decided this is their final act. They select soft targets (schools, workplaces, churches, supermarkets), sometimes bring rifles or long guns for better accuracy and stopping power, and methodically execute victims. No escape plan means they can afford to stay and ensure lethality.4
Corollaries sharpen the predictive power:
Saturday-night or weekend shootings with high wounded counts are overwhelmingly Black-on-Black.
Long-gun or rifle use tilts strongly non-Black (handguns dominate high-wound events).
Delayed media identification of the shooter often correlates with the high-wounded pattern.
These are tendencies, not absolutes. Domestic familicides, certain atypical cases, and rare exceptions exist. But the hit rate is high enough to be genuinely useful for early pattern recognition.
Real-World Tests: From Kansas City to Chicago Weekends
The law has been repeatedly vindicated in high-profile cases:
Kansas City Super Bowl Parade shooting (February 2024): One killed, roughly 22 wounded. The lopsided wounded ratio immediately suggested Black teenage perpetrators in a dispute. Official confirmation followed.
Birmingham, Alabama group shooting (2024): Multiple shooters, high wounded count in a crowded urban setting—classic alignment with Black-on-Black patterns.
Chicago and other major cities on weekends: Routine reports of 10–30 shot with single-digit fatalities per event overwhelmingly match Black gang or interpersonal violence.
Conversely, the high-profile “rampage” shootings that dominate national headlines—Parkland, Uvalde, Las Vegas (pre-2017 data), many workplace or school attacks—feature more deaths than wounded and non-Black (usually White) lone male shooters. The 2020 Kenosha unrest shooting provided an interesting test case: casualty ratios and context pointed away from the high-wound Black-shooter prediction, and the shooter (Kyle Rittenhouse) was White.5
Recent years show the pattern persisting. While overall mass shootings (GVA definition) declined in 2025 to around 408 incidents (358 killed, 1,843+ injured), the high-wound urban subset continued to reflect the same demographic regularities.6
Data Context: Two Americas of Gun Violence
Narrow “mass public shooting” databases (1966–present) show White perpetrators as the plurality or majority because they capture the dramatic, high-body-count events. Broader GVA data—hundreds of incidents annually—show the opposite skew for wounding-heavy events. This is not contradictory; it is diagnostic. America has two overlapping but distinct gun-violence problems: impulsive, low-accuracy urban conflicts (disproportionately Black) and rare, high-lethality premeditated attacks (disproportionately non-Black).7
Critics sometimes object that discussing these patterns is “racist.” But the data come from public police reports, coroners, and nonpartisan archives. Ignoring them does not make them disappear; it merely cedes explanatory power to ideology over evidence.
Limitations, Exceptions, and Honest Caveats
No statistical tendency is perfect. Domestic violence mass killings can produce high death counts regardless of race. Some incidents involve mixed or unclear perpetrators. Poor marksmanship in chaotic environments occasionally produces anomalies. Sailer himself emphasizes the law is a useful heuristic, not gospel. Gang-related shootings (excluded from some “active shooter” studies) drive much of the high-wound total and are heavily concentrated in specific urban subcultures.
Why the Pattern Is So Often Ignored
Media incentives reward narratives that fit preconceived stories: “assault weapons,” “White supremacy,” or “mental health.” High-wound urban shootings—far more numerous—receive local coverage at best and vanish from national conversation. The result is a distorted public understanding: people vastly overestimate the share of mass violence committed by White supremacists or “assault rifle” wielders while underestimating everyday interpersonal gun crime.
Implications: Pattern Recognition as a Tool, Not a Weapon
Sailer’s Law does not “blame” any race in a moral sense. It simply notices regularities produced by culture, age, family structure, impulsivity, weapon choice, and intent. Black Americans are not monolithic; the pattern is driven by a subset of young males in high-crime urban environments with elevated homicide rates. Most Black Americans are law-abiding, and most gun violence victims are Black. The same data-driven honesty applies to White overrepresentation in certain premeditated rampages. For policymakers, the law suggests different prevention strategies for different problems: focused deterrence and hot-spot policing for urban wounding sprees; threat assessment and mental-health intervention for suicidal lone actors. Blanket gun-control measures that ignore these distinctions have repeatedly failed to address the bulk of the carnage. Steve Sailer has spent decades cataloging such patterns through public data, often at significant personal and professional cost. His approach—dry, statistical, relentlessly empirical—is a corrective to both denialism and hysteria. In a nation awash in guns and cultural fragmentation, patterns like Sailer’s Law are worth noticing precisely because they describe reality before ideology can obscure it. Mass shootings will not disappear tomorrow. But understanding why certain incidents look the way they do—long before the shooter’s name is released—helps cut through the noise. In an age of information overload, empirical regularities remain one of the most reliable guides we have.
„ and cultural norms around handgun use“ - so you mean the cultural norm of using double action only handguns (glock), holding them sideways and swinging them wildly while squeezing the trigger with the whole finger when shooting?