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Military Spending Efficiency Audit

Grade CLimited Evidence

Mandatory independent audit of DoD spending; redirect savings to underfunded categories.

Rank #12 of 12 policies

Welfare Score
+38
Causal Confidence
0%
Policy Impact
15%
BH Average
48%

📊 Bradford Hill Criteria Scores

Plausibility85%
Analogy85%
Strength of Association63%
Coherence63%
Specificity48%
Consistency39%
Biological Gradient27%
Experiment25%
Temporality0%

💥 Impact Breakdown

Income Effect
+3%
Health Effect
+1%
Combined Welfare
+38

📋 Policy Details

Type
budget allocation
Category
defense
Recommendation
reallocate
Current Status
$886B military budget; failed 6th consecutive audit
Recommended Target
Independent audit with binding recommendations; freeze until clean audit
Rationale

Pentagon has failed every audit since they became mandatory in 2018. GAO estimates $100-200B/yr in waste, fraud, and cost overruns. F-35 program alone is $180B over budget.

Blocking Factors
political oppositioninstitutional resistance

🔬 Evidence Assessment: Bradford Hill Criteria

The Bradford Hill criteria are nine principles used to establish evidence of a causal relationship between a policy intervention and its outcomes. Originally developed for epidemiology (1965), they provide a structured framework for evaluating whether an observed association is truly causal. Each criterion is scored from 0 to 1.

Strength of Association63%

How large is the association between the policy and the outcome? Larger effect sizes increase confidence in causation.

Consistency39%

Has the relationship been observed across different populations, settings, and times? Replication strengthens causal claims.

Temporality0%

Does the policy change precede the outcome change? Temporal ordering is a necessary condition for causation.

Biological Gradient27%

Is there a dose-response relationship? More of the policy leads to more of the effect? Gradients support causation.

Experiment25%

Is there evidence from randomized controlled trials or natural experiments? Experimental evidence is the gold standard.

Plausibility85%

Is there a plausible mechanism explaining how the policy causes the outcome? Mechanistic understanding increases confidence.

Coherence63%

Does the causal interpretation fit with existing knowledge? The relationship should not contradict established facts.

Analogy85%

Are there analogous policies that have produced similar effects? Similar interventions with known effects support the claim.

Specificity48%

Is the effect specific to this policy rather than a general phenomenon? Specific associations are more likely causal.

How is the Causal Confidence Score calculated?

The Causal Confidence Score (CCS) of 0% is a weighted average of the nine Bradford Hill criteria. Experiment and temporality receive higher weights since they provide the strongest evidence for causation. The CCS is then combined with the estimated effect magnitude to produce the Policy Impact Score (PIS) of 15%.

See the Optimal Policy Generator paper for full methodology.

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Analysis: · Optomitron OPG