One Hundred Years of

The Trigger

The counterfactual: what if every state had adopted universal background checks in 1994? 500 plausible alternative histories. The gap between the lines is measured in lives.
Issue   05 / 12
Extension   02 — Counterfactual
Trajectories   500
Lives saved (median)
--
cumulative 1994–2024
Rate reduction
--
counterfactual vs actual · 2024
90% confidence interval
--
cumulative lives saved
Confidence
CANDIDATE
observational cross-section
Extension 02 · The Counterfactual
500 alternative trajectories

What if every state had acted in 1994?

The Brady Act passed in 1993. The Assault Weapons Ban in 1994. But universal background checks never became law. We ask: what if they had? Using the observed gap between strong-law and weak-law states, we generate 500 plausible alternative histories for the national firearm homicide rate.

Fig. 01 · The fan
Firearm homicide rate per 100k · 1994–2024
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ACTUAL TRAJECTORY COUNTERFACTUAL 90% BAND COUNTERFACTUAL 50% BAND MEDIAN COUNTERFACTUAL
The gap
The shaded region between the red line and the amber fan represents the human cost of inaction. Each unit of rate difference, multiplied by 330 million Americans, translates to thousands of lives.
Intervention year
1994
Treatment effect source
13 strong-law states (score ≥ 70) vs 23 weak-law states (score < 40). Mean homicide rate reduction: --.
Ensemble parameters
500 trajectories. Treatment effect: Normal(μ, 0.15μ). Implementation lag: 0–5 years. Phase-in: 3 years.
Fig. 02 · The cost
Estimated annual lives saved · median trajectory

The accumulating toll of delay.

Each bar represents the median estimate of lives that would not have been lost in that year under the counterfactual scenario. The uncertainty grows with time, but so does the cost.

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Methodology
How this counterfactual was constructed

1. Natural experiment. We exploit the cross-sectional variation in state gun law strength as a proxy for what national adoption might achieve. States with law scores ≥ 70 (13 states including California, New York, and Massachusetts) serve as the treatment group. States with scores < 40 (23 states including Mississippi, Alabama, and Texas) serve as the control.

2. Treatment effect. The average firearm homicide rate in treatment states is approximately 23% lower than in control states across 2019–2024. This reduction is the basis for the counterfactual.

3. Ensemble generation. 500 trajectories are generated by (a) varying the treatment effect size around the observed mean using Normal(μ, 0.15μ), (b) varying implementation lag from 0–5 years post-1994, and (c) adding noise proportional to the actual rate. Each trajectory applies the treatment effect to the observed national homicide rate.

4. Lives saved. The gap between actual and counterfactual rates is multiplied by estimated US population for each year to yield lives saved. Cumulative totals are reported with 90% confidence intervals derived from the 5th and 95th percentile trajectories.

Limitations. This is an observational cross-sectional analysis, not a causal inference. State-level differences reflect many factors beyond gun laws (urbanization, poverty, policing). The treatment effect assumes weak-law states would respond to legislation the same way strong-law states did — a strong assumption. Confidence is rated CANDIDATE, not HIGH.