Texas Ethics Commission data Release v1.4 Source snapshot September 17, 2026 Latest eligible reported transaction September 15, 2026
Canonical Vendor

Dan Patrick Campaign Committee

Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 83694 · Resolution: Indexed Canonical Identity
Total Payments
$546,000.00
Client Filers
3
Payments
25
Activity Range
03/20/2014–06/24/2019
Largest Payment
$37,500.00
Graph: 3 connected filers · 25 payments · $546,000.00 represented
Canonical vendor assembled from reviewed Texas Ethics Commission reported payee identities. Source records remain unchanged.

Reported Names

Payee names preserved from the reported/curated source layer and resolved to this canonical vendor.

Top Client Filers

Canonical client relationships from vendor_clients_canonical.
#FilerPaidPaymentsLast Payment
1Good Government Fund (Fort Worth)$291,000.001406/24/2019
2PSEL PAC$172,500.00706/24/2019
3Texas Progress Fund$82,500.00409/26/2016

Shared Client Network

Other canonical vendors paid by the same filer clients. Ranked by shared-client count. This is a structural overlap measure, not evidence of affiliation or coordination.
Vendor Shared Clients Focal Coverage Peer Clients Network Overlap
George P. Bush Campaign Committee
Vendor ID 127824
3 100.0% 3 100.0%
Kenneth Brimer Campaign Committee
Vendor ID 176845
3 100.0% 3 100.0%
Our Water Our Future
Vendor ID 234594
3 100.0% 3 100.0%
Dennis Shingleton Campaign Committee
Vendor ID 88526
3 100.0% 4 75.0%
Don Willett Campaign Committee
Vendor ID 93308
3 100.0% 4 75.0%
Glen Whitley Campaign Committee
Vendor ID 129729
3 100.0% 4 75.0%
Jeff Boyd Campaign Committee
Vendor ID 163474
3 100.0% 4 75.0%
Jeff Brown Campaign Committee
Vendor ID 163484
3 100.0% 4 75.0%
John Cayce Campaign Committee
Vendor ID 167555
3 100.0% 4 75.0%
Len Wade Campaign Committee
Vendor ID 189880
3 100.0% 4 75.0%
Melody Wilkinson Campaign Committee
Vendor ID 209706
3 100.0% 4 75.0%
Paul Green Campaign Committee
Vendor ID 239860
3 100.0% 4 75.0%
Method: Focal Coverage = shared clients ÷ this vendor's client count. Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.

Recent Reported Payments

DateClient FilerAmountDescription
06/24/2019Good Government Fund (Fort Worth)$25,000.00Political contribution
06/24/2019PSEL PAC$25,000.00 Political contribution
06/21/2018Good Government Fund (Fort Worth)$25,000.00 Political contribution
06/21/2018PSEL PAC$25,000.00Political contribution
09/26/2017PSEL PAC$25,000.00Political contribution toward candidacy for Texas Lt. Governor
09/26/2017Good Government Fund (Fort Worth)$25,000.00Political contribution toward candidacy for Texas Lt. Governor
09/26/2016Texas Progress Fund$7,500.00Political contribution toward candidacy for Lt. Governor
05/11/2016PSEL PAC$10,000.00Political contribution toward candidacy for Texas Lt. Governor
05/11/2016Good Government Fund (Fort Worth)$10,000.00Political contribution toward candidacy for Texas Lt. Governor
06/25/2015Good Government Fund (Fort Worth)$37,500.00Political contribution toward candidacy for Texas Lt. Governor
06/25/2015PSEL PAC$37,500.00Political contribution toward candidacy for Texas Lt. Governor
12/12/2014Good Government Fund (Fort Worth)$25,000.00Political contribution toward candidacy for Texas Lt. Governor
09/04/2014Good Government Fund (Fort Worth)$10,000.00Contribution toward candidacy for Texas Lt. Governor
06/26/2014Good Government Fund (Fort Worth)$10,000.00Political contribution toward candidacy for Texas Lt. Governor
05/05/2014Texas Progress Fund$25,000.00Political contribution toward candidacy for Texas Lt. Governor
03/20/2014Texas Progress Fund$25,000.00Political contribution toward candidacy for Texas Lt. Governor
03/20/2014Texas Progress Fund$25,000.00Political contribution toward candidacy for Texas Lt. Governor
Evidence basis: A canonical vendor identity was resolved using the curated vendor layer. Raw reported-payee statistics remain separate from canonical vendor statistics so the source record and analytical identity are distinguishable.