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Methodological Analysis

The Denominator Problem
Why Benchmark Choice Matters

Your choice of denominator can completely change—even reverse—conclusions about racial disparities in police use of force.

What's Your Denominator?

In 2015, police fatally shot 259 Black citizens and 497 White citizens.

Black citizens are ~13% of the US population but ~26% of those fatally shot. Does this prove racial bias? It depends entirely on your choice of benchmark.

The Hidden Denominator

When analyzing rates, we need both a numerator (what happened) and a denominator (the at-risk population). The denominator is like the hidden part of an iceberg—often unseen, but critical.

  • Numerator: Fatal OIS by race (known from Washington Post data)
  • ?Denominator: Who is at risk of being shot? (debated)

The Formula

[Black Shot ÷ Black Benchmark]
[White Shot ÷ White Benchmark]

Rate Ratio: >1 means Black more likely, <1 means White more likely

Why Population is a Flawed Benchmark

Using population assumes everyone has an equal chance of encountering police. This is demonstrably false:

  • • Black citizens are more likely to be stopped by police
  • • Black citizens are more likely to be arrested
  • • Most people (of any race) never have police encounters that could turn lethal
  • • The "at-risk" population is not the general population
Using Population (2015)
3.04x
Black citizens more likely
Using Weapons Arrests (2015)
1.33x
White citizens more likely

Same numerator. Different denominators. Opposite conclusions.

Rate Ratios by Benchmark (2015)

Black more likely (>1)
White more likely (<1)

Detailed Comparison (2015)

BenchmarkBlack BenchmarkWhite BenchmarkRate RatioInterpretation
Total Population39,908,095232,943,0553.04Black 3.0x more likely
Police-Initiated Contacts2,542,40016,642,2003.41Black 3.4x more likely
Traffic Stops2,001,00013,997,7003.65Black 3.6x more likely
Street Stops541,4002,644,5002.55Black 2.5x more likely
Total Arrests2,197,1405,753,2121.36Black 1.4x more likely
Violent Crime Arrests140,543232,1800.86White 1.2x more likely
Weapons Offense Arrests44,28463,9670.75White 1.3x more likely

Note: Fatal OIS in 2015: 259 Black, 497 White

Population-Based

Census data. Simple but flawed—assumes equal police contact rates.

3.04x

Interaction-Based

PPCS survey data. Better than population but most contacts are low-risk.

2.55x

Arrest-Based

UCR arrest data. Closer to lethal-risk situations but may reflect enforcement bias.

0.75x

Select a Benchmark

Total Population

US Census population figures. Assumes everyone has equal likelihood of police contact.

Limitation

Fundamentally flawed: not everyone encounters police equally. Most people never interact with officers in situations that could become lethal.

Black Benchmark (2015)39,908,095
White Benchmark (2015)232,943,055
Black Fatally Shot259
White Fatally Shot497

Result

Rate Ratio
3.04
Black citizens 3.0x more likely to be fatally shot

Calculation:

Black rate: 259 / 39,908,095 = 0.65 per 100k
White rate: 497 / 232,943,055 = 0.21 per 100k
RR = 0.65 / 0.21 = 3.04

Rate Comparison (Population)

Build Your Own Scenario

Enter custom values to see how different numerators and denominators affect the rate ratio. This helps illustrate why benchmark selection is so critical.

Input Values

Quick Presets

Your Result

Rate Ratio
3.04
Black 3.0x more likely
Black rate: 259 / 39,908,095 = 0.6490 per 100k
White rate: 497 / 232,943,055 = 0.2134 per 100k
Rate Ratio = 3.04

Key Takeaways

  • 1.Disparity ≠ Bias: Observed disparities depend heavily on benchmark choice. Different benchmarks yield different—even opposite—conclusions.
  • 2.No perfect benchmark exists: Each has strengths and limitations. Population is convenient but flawed. Arrests may reflect enforcement bias.
  • 3.Context matters: The "at-risk" population for fatal OIS is not the general population—it's those who encounter police in potentially lethal situations.
  • 4.Be skeptical of simple claims: Anyone citing disparity statistics without discussing their benchmark choice is presenting incomplete analysis.
Citation

Tregle, B., Nix, J., & Alpert, G. P. (2018). Disparity does not mean bias: Making sense of observed racial disparities in fatal officer-involved shootings with multiple benchmarks. Journal of Crime and Justice. https://doi.org/10.1080/0735648X.2018.1547269

Data sources (2018-2023): Fatal OIS from Washington Post Fatal Force Database; Population from US Census ACS; PPCS data from BJS (2018 wave for 2020+); Arrests from FBI UCR/Crime Data Explorer. 2020-2021 arrest data incomplete due to NIBRS transition.

Interactive analysis by Ian T. Adams, Ph.D.
Benchmark selection is an analytical choice with significant implications.