Brian Schatz
Democrat
· HI Senate · 119th Congress
and Related Agencies (Chair) · Foreign Operations (Chair) · and Related Programs (Chair) · Housing and Urban Development (Chair) · Senate Committee on Commerce (Chair) · and the Internet (Chair) · Senate Committee on Indian Affairs (Chair) · Senate Committee on Appropriations · Rural Development · Food and Drug Administration · Health and Human Services · and Education · Veterans Affairs · Senate Committee on Banking · and Urban Affairs · and Transportation · and Fisheries · and Broadband · Product Safety · and Data Security · and Data Privacy · and Consumer Protection · Climate Change · and Manufacturing · and Weather · and Safety · and Ports · Senate Committee on Foreign Relations · the Pacific · and International Cybersecurity Policy · Multilateral Institutions · and International Economic · and Environmental Policy · International Operations · and Bilateral International Development · Senate Select Committee on Ethics
Influence Score
74.0
Highly 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
5.1
/ 12
Outside spendingmoney spent by groups to help elect them
< 0.1
/ 6
Spent to help elect them
$427
Outside groups that spent to help elect this member — this drives the outside-spending bar above
Lobbyinghow hard lobbyists push the committees this member sits on
7.7
/ 10
Revolving door
former staff now working as lobbyists
0.0
/ 3
Vote alignmenthow often they vote the way their donors want
7.9
/ 12
Contribution timingmoney arriving near key votes
1.0
/ 6
Stock tradesbuying stocks in industries they regulate
0.0
/ 1
Dark moneyfunding from groups that hide their donors
0.0
/ 2
Outbound money distributionmoney this member sends out to the party and to colleagues
12.7
/ 16
Cluster network breadthhow many coordinated funding networks back this member
6.4
/ 10
Committee jurisdiction powerthe legislative reach of the committees this member sits on
8.7
/ 10
Foreign interestforeign-interest money — Israel-policy PACs and FARA-registered institutional lobbying allocated by committee jurisdiction
9.7
/ 12
Israel-policy PACs behind this score
JSTREETPAC
$2,050 direct
FARA institutional lobbying
This member’s committees are targeted by $231.59M 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 — $463K.
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Score across four congresses
Score and tier for each Congress. Members are ranked against others in the same Congress, so tiers are comparable across rows. Raw scores reflect different data availability per Congress.
| Congress | Score | Tier |
|---|---|---|
| 116th · 2019-2021 | 63.4 | Moderately exposed |
| 117th · 2021-2023 | 66.7 | Moderately exposed |
| 118th · 2023-2025 | 49.2 | Moderately exposed |
| 119th · 2025-2027 | 74.0 | Highly exposed |
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Biggest funding source
The single network behind the most money and influence
Total money from this network
$58,000
Number of funding networks contributing
1
— ◊ —
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.
Share from this one network
1.8%
Amount from this network
$29,000
Total from all networks
$1,598,371
Networks contributing
353
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Who funds Schatz
Every funding network we can measure, ranked by influence
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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
98.5%
Extra weight when money matches their committees
2.00×
Share of outside spending tied to their policy areas
100.0%
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Money timed to key votes
Donations arriving near key votes in the policy areas this member regulates
Times money arrived near a vote
1
Money that arrived near votes
$7K
Distinct donors
2
Distinct employers
1
Share of their total fundraising
0.86%
Biggest clusters of timed money
CITADEL SECURITIES
$7K
KUAKINI MEDICAL CENTER
$15
KUAKINI MEDICAL CENTER
$15
KUAKINI MEDICAL CENTER
$15
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Top Donors
Biggest sources of contributions, grouped by employer, this cycle
CHARTER COMMUNICATIONS
$39K
FIRST HAWAIIAN BANK
$19K
COMCAST
$17K
HAWAII PACIFIC HEALTH
$14K
DISH NETWORK
$12K
KKR
$10K
ANTHROPIC
$10K
ARNOLD VENTURES
$10K
FORBES TATE
$9K
THE DASCHLE
$8K
CAPITOL HILL POLICY
$8K
NORTH STAR SCIENTIFIC
$8K
DAVIS LEVIN LIVINGSTON
$8K
MORAN GLOBAL STRATEGIES
$7K
MAKAI OCEAN ENGINEERING
$7K
ALSOP LOUIE
$7K
BANK OF HAWAII
$7K
CAMPION
$7K
DIAMOND HEAD
$7K
GLOBAL ATLANTIC
$7K
Where the outside money comes from
How much of the outside spending for and against Brian Schatz comes from groups that disclose their donors versus groups that hide them
By funding network
PLANNED PARENTHOOD ALLIANCE PAC , SERVING WA, AK, ID, HI, IN, KY
$417
SIERRA CLUB INDEPENDENT ACTION
$10
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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.
32 individuals who also gave to pro-Israel PACs contributed $887K to Brian Schatz across 48 contributions.
Total from shared contributors
$887K
Shared contributors
32
Contributions
48
By cycle
| Cycle | Shared donors | Gifts | Total |
|---|---|---|---|
| 2022 | 8 | 12 | $368K |
| 2024 | 7 | 9 | $491K |
| 2026 | 20 | 27 | $29K |
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Brian Schatz's file shows clear influence markers across multiple categories for the top funding network, placing them in the upper range of this Congress. The pattern runs above what coincidence would produce, and the methodology page documents what each category requires.
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