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H6NY12214

BORES, ALEXANDER Open seat

 ·  NY-12 (House)
11.7
Influence Score · 2026
Substantially backed
Non-incumbent — only contributions, independent expenditures, and dark-money exposure are scored. Lobbying, vote alignment, bundle timing, and trade direction require committee assignments and roll-call records, neither of which exist for a non-sitting candidate. Maximum reachable score is about 23, on a challenger-only scale — incumbents are scored 0–100 across all twelve axes, so the two are not directly comparable. See methodology.

Score components

AxisRawNormalized (pts)Coverage
Direct contributions $2.70M 8.00 2026 cycle, principal committee
Outside spending — direct support $7.44M PACs that directly supported this candidate
Outside spending — indirect (OPPOSE against opponents) $0 OPPOSE spending against opponents in the same race, attributed proportionally
Outside spending — OPPOSE against this candidate $5.31M PACs that spent to defeat this candidate (not scored on this axis)
Total outside spending in favor $7.44M 3.66 direct + indirect — drives the outside-spending axis
Lobbying exposure Requires committee assignment
Vote alignment Requires voting record
Contribution timing — money arriving near key votes Requires recorded-vote calendar
Dark-money exposure 0.0000 0.00 Disclosed-vs-dark outside spending share
Personal trade direction Requires STOCK Act filings

Race matchup  NY-12

Candidate Party Status Direct $ Outside $ Score Tier
NADLER, JERROLD L DEM Inc. $492K $140K 39.6 Moderately exposed
BORES, ALEXANDER DEM Open $2.70M $7.44M 11.7 Substantially backed
LASHER, MICAH CHARLES DEM Open $1.98M $9.43M 11.7 Substantially backed
SCHLOSSBERG, JOHN (JACK) BOUVIER KENNE DEM Open $1.47M $885K 6.9 Modestly backed
KASKY, CAMERON DEM Open $141K $885K 1.8 Lightly backed
DUNN, LAURA L. MS. ESQ. DEM Open $60K $885K 1.5 Lightly backed
SCHWALBE, NINA DEM Open $0 $885K 1.3 Lightly backed

Challenger and open-seat scores reflect contributions, outside spending, and dark-money exposure only — a maximum of about 23. They are not directly comparable to incumbent scores, which run 0–100 across all twelve axes. Compare the dollar columns (Direct $, Outside $) for a like-for-like view.