Corruption Risk · 4-Vector Breakdown
Corruption isn't just trade-based. Here's the four ways political pressure can flow, scored independently from the public record.
Vector 1 · Personal Enrichment trade-based
The politician's 225 trades in the 5-year intelligence window show a high-frequency, sector-concentrated style (`get_politician_intelligence.profile.trading_styles`: ["HIGH_FREQUENCY"]; `get_sponsor_profile.profile.trade_pattern`: "sector_concentrated"). No sector-level win-rate anomaly meets the ≥10-point divergence threshold on ≥50 trades (`get_politician_intelligence.sector_expertise`). The portfolio is exceptionally narrow, with only 3 distinct tickers and a dominant position in municipal bonds and Microsoft (`get_sponsor_profile.profile.trading_style`). This suggests passive wealth management of a concentrated, legacy tech position rather than active, information-driven stock picking.
Trades 5y447
Volume$340.3M
Late filing—
Trader typeActive self-dealer
Vector 2 · Donor Funding money in
PAC funding is diversified, led by corporate_other (34.3%), healthcare (10.1%), and labor (6.8%) industries (`get_donor_industry_breakdown.top_industries`). Individual donors are concentrated in Washington State tech, finance, and tribal gaming interests (`get_sponsor_profile.profile.donor_base`). The industry capture signal is moderate (`get_sponsor_profile.profile.industry_capture_signal`: "moderate").
PAC raised$28.5M
Individual—
Vector 3 · Committee Pressure lobbying around
Technology sector capture via former employer (Microsoft) ties and PAC funding ($1.27M from tech PACs), amplified by jurisdiction on the tax-writing committee (`get_donor_industry_breakdown.top_industries[6]`: tech, $1.27M; `get_sponsor_profile.profile.sector_specializations`).
technology
Serves on House Ways and Means Committee with tax oversight of tech sector while holding $15M+ in MSFT (`get_sponsor_profile.profile.largest_position`: 15000000.5).
↳ jurisdictional overlap
Top influence channels
PAC Contributions
corporate_other
$28.5M
12 MONTHS PAST · 3 MONTHS FUTURE
Activity timeline · 29 votes (12mo) · 28 on passage · 100% with party on passage votes
Votes/wk (top band)
with party
against party
present / unknown
Vote markers (passage only)
yea (with party)
nay (with party)
against party
Trades
buy
sell
Bills sponsored
★ introduced
Predictions / pipeline
model fire
committee bill
🔮 GOVGREED FORECAST · 30-DAY WINDOW
Predicted next trades · 20 active
Recent Activity
Voting Pattern
Voting attendance is 100% over 75 recent votes, with a slight tendency to vote Nay (36 Nay vs. 31 Yea) (`get_voting_record.attendance_pct`: 100.0; `get_voting_record.nay_count`: 36; `get_voting_record.yea_count`: 31). Recent high-profile votes show support for suspension motions and a Nay vote on HR.261 passage (`get_voting_record.recent_high_profile_votes`).
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