George Whitesides
Democrat
· CA-27 · 119th Congress
House Committee on Armed Services · Information Technologies · and Innovation · House Committee on Science · and Technology
Influence Score
60.5
Moderately exposed
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This score measures financial influence across twelve categories. Each bar shows how this member compares to all others in Congress. Longer bars mean more exposure.
Score breakdown — twelve categories
Contributionsmoney from PACs (political action committees) and individual donors
3.7
/ 12
Outside spendingmoney spent by groups to help elect them
5.2
/ 6
Spent to help elect them
$4,101,232
Outside groups that spent to help elect this member — this drives the outside-spending bar above
Spent to defeat this member
$11,422,657
Outside groups that spent to defeat this member (not counted in this score)
Lobbyinghow hard lobbyists push the committees this member sits on
4.6
/ 10
Revolving door
former staff now working as lobbyists
0.0
/ 3
Vote alignmenthow often they vote the way their donors want
8.3
/ 12
Contribution timingmoney arriving near key votes
0.0
/ 6
Stock tradesbuying stocks in industries they regulate
0.0
/ 1
Dark moneyfunding from groups that hide their donors
0.2
/ 2
Outbound money distributionmoney this member sends out to the party and to colleagues
10.8
/ 16
Cluster network breadthhow many coordinated funding networks back this member
6.9
/ 10
Committee jurisdiction powerthe legislative reach of the committees this member sits on
4.0
/ 10
Foreign interestforeign-interest money — Israel-policy PACs and FARA-registered institutional lobbying allocated by committee jurisdiction
4.6
/ 12
Israel-policy PACs behind this score
DMFI PAC
$1,000 direct
FARA institutional lobbying
This member’s committees are targeted by $39.44M in lobbying from FARA-registered firms representing South Korea, Japan, Saudi Arabia. This exposure is weighted at 0.2% of face value in the score — $79K.
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Biggest funding source
The single network behind the most money and influence
Network
HOUSE MAJORITY PAC NETWORK
Total money from this network
$4,556,180
Number of funding networks contributing
1
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Where most of the money comes from
What share of their combined contributions and outside spending comes from a single network. Party committees are excluded.
Network
WHITESIDES VICTORY FUND
Share from this one network
4.3%
Amount from this network
$52,923
Total from all networks
$1,225,581
Networks contributing
277
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Who funds Whitesides
Every funding network we can measure, ranked by influence
$4,758,352
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Does the money match their power?
Whether their money comes from the industries their committees actually oversee
Money from industries they regulate
7.8%
Extra weight when money matches their committees
1.50×
Share of outside spending tied to their policy areas
24.9%
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Money timed to key votes
Donations arriving near key votes in the policy areas this member regulates
No suspicious timing patterns detected.
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Top Donors
Biggest sources of contributions, grouped by employer, this cycle
CITADEL ASSET MANAGEMENT
$17.00M
BLOOMBERG
$16.36M
EMC
$15.51M
STG
$10.00M
ADELSON DRUG CLINIC
$10.00M
REYES
$9.13M
EUCLIDEAN CAPITAL
$5.51M
CROWNQUEST OPERATING
$5.00M
MOUNTAIRE
$4.59M
THE DUCHOSSOIS
$4.59M
PATHWAYS ORG
$4.55M
RYAN SPECIALTY
$4.54M
SOVEREIGN
$4.00M
MARCUS MILLICHAP
$3.91M
HONEYWELL INTERNATIONAL
$3.84M
SIMONS
$3.80M
SUFFOLK CONSTRUCTION
$3.34M
HEISING-SIMONS
$3.20M
STATE OF ILLINOIS
$3.10M
BALLMER
$3.04M
Where the outside money comes from
How much of the outside spending for and against George Whitesides comes from groups that disclose their donors versus groups that hide them
Total outside spending received
$15.53M
Disclosed outside spending
$13.96M
Dark-money outside spending
$1.58M
Share that is dark money
10.14%
Dark money tied to their policy areas
$1.47M
Groups hiding their donors
9
By funding network
SLF PAC
$9.10M
HOUSE MAJORITY PAC NETWORK
$2.40M
NRCC
$2.29M
LCV VICTORY FUND
$1.44M
PLANNED PARENTHOOD AFFILIATES OF CALIFORNIA VOTES PAC
$95K
SEIU COPE (SERVICE EMPLOYEES INTERNATIONAL UNION COMMITTEE ON POLITICAL EDUCATION)
$52K
MAJORITY PAC
$36K
VOTE PLANNED PARENTHOOD NORTHERN CALIFORNIA, A PROJECT OF PLANNED PARENTHOOD NORTHERN CALIFORNIA (CA) ACTION FUND
$19K
WORKING AMERICA
$17K
CALIFORNIANS FOR CHOICE
$16K
WORKERS VOTE
$11K
HEALTH CARE SAVES LIVES
$11K
VALLEY WORKS ACTION FUND
$10K
EVERYTOWN FOR GUN SAFETY VICTORY FUND (EVERYTOWN VICTORY FUND)
$8K
THE CONSERVATIVE CAUCUS DBA AMERICANS FOR CONSTITUTIONAL LIBERTY
$5K
Groups that hide their donors
$1.44M
$17K
1 smaller group under $500
$258
Likely donors behind the dark money supporting this member
Inferred
Donors who fund the disclosed PACs in the same network as the hidden groups above. "Coverage" is how many of that network's disclosed groups a donor funds — the more they fund, the more likely they also back the hidden group.
EVERYTOWN FOR GUN SAFETY VICTORY FUND EVERYTOWN VICTORY FUND
$10.01M
EVERYTOWN FOR GUN SAFETY ACTION FUND
$43K
MICHAEL R BLOOMBERG
$14.00M
EVERYTOWN FOR GUN SAFETY VICTORY FUND
$3.00M
SEBASTIAN SCRIPPS
$1.50M
ELIZABETH SIEGELMAN
$400K
JEFFRIES VICTORY FUND
$225K
CECILIA G BOONE
$45K
GARRETT BOONE
$45K
DAGMAR DOLBY
$30K
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Pro-Israel network donors
This counts contributions to this member from individuals whose FEC filings also show contributions to one of the 16 pro-Israel political action committees tracked by the Index. It is a measure of donor overlap — not a claim about why any individual gave, and not part of the influence score.
108 individuals who also gave to pro-Israel PACs contributed $324K to George Whitesides across 217 contributions.
Total from shared contributors
$324K
Shared contributors
108
Contributions
217
By cycle
| Cycle | Shared donors | Gifts | Total |
|---|---|---|---|
| 2024 | 61 | 118 | $220K |
| 2026 | 56 | 99 | $104K |
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George Whitesides sits in the middle of this Congress on the index. There is a measured sponsor relationship, but the vote-alignment signal is weaker — money flows; the votes do not follow in lockstep.
Data: FEC (Federal Election Commission) filings · 118th–119th Congress · lobbying disclosures · VoteView recorded votes
All findings derived programmatically from public records · No prior knowledge required
All findings derived programmatically from public records · No prior knowledge required