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← United States Politicians
Wexton, Jennifer
House of Representatives · Virginia · Rank #140 of 554
Score
-$3.6T
Employee Performance Review
Budget influence review.
Wexton, Jennifer is a public employee. This review tracks the federal budget this office backed instead of pretending congressional votes are just vibes. At 929 dollars per patient, the military dollars this office backed could have funded pragmatic trials for about 3.8B patients.
Military $ Backed
$3.6T
Bills this office backed that expand military spending
Clinical Trials $
$3B
Bills this office backed that include clinical trial funding
Military : Medicine
1,142:1
Higher means more military than medicine
Score
-$3.6T
Clinical trial spending minus military spending. Everyone is negative.
rubble creation
$3.6T
Testing Medicines $ Voted For
$3B
3.3% of the NIH budget actually tests which medicines work
death logistics : medicines ratio
1,142:1
System average: 1,094:1
Spending Scale (vs All Politicians)
blowing stuff up$3.6T
Testing Medicines$3B
Scaled to the same axis as military spending — the bar is barely visible because clinical trials get 0.09% of the funding
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Vote Record
Voted YEA
NDAA FY2023 ($858B)$858B
NDAA FY2024 ($886B)$886B
Not Voting / Absent
NDAA FY2025 ($895B)NOT VOTING
How We Calculate
Military $
Military $ = Σ (bill amount for each YEA vote on NDAA, supplementals, or omnibus military portion)
NDAA and supplementals count at face value. Omnibus bills count only the military appropriation (~$858–886B/yr).
Clinical Trials $
Trials $ = NIH budget × 0.033
Only 3.3% of the NIH budget funds clinical trials ($1.56B of $47.3B). The other 96.7% is basic research, overhead, and administration. Source: JAMA.
Score
Score = Clinical Trials $ − Military $
Positive = net investment in medicine. Negative = net investment in military. Everyone is negative.
Ratio
Ratio = Military $ ÷ Clinical Trials $
Higher = worse. ∞ means the politician voted for military spending but never voted for any bill containing clinical trial funding.
The Maths
Wexton, Jennifer spent $1,142 on orphan manufacturing for every $1 finding out which medicines work. Your species average is 1,094:1. Your chance of dying from terrorism: 1 in 30 million. Your chance of dying from disease: 100%.
Does This Match Your Priorities?
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