Maintain a requirement that the Secretary consider other countries' voting practices at the United Nations before providing funds.

Mario Diaz-Balart · Florida · Republican

policy impact 0.74 specificity 0.89 extraction confidence 95%

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Occurrences

Evidence

Sec. 7048 requires review of foreign governments' U.N. voting practices and withholds 10% of U.N. contributions pending reforms.

House-passed SFOPS language preserved the UN voting-practices rider and a 10% UN contribution holdback.

partial same_term A for effort

Text - H.R.7006 - 119th Congress (2025-2026): Financial Services and General Government and National Security, Department of State, and Related Programs Appropriations Act, 2026 | Congress.gov | Library of Congress
primary · model gpt-5.4-mini · confidence 94%

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Latest action: Senate received the bill on January 15, 2026; House passed it 341-79 on January 14.

The rider advanced through the House but was only received in the Senate, so it was not enacted as of the latest recorded action.

partial same_term A for effort

Actions - H.R.7006 - 119th Congress (2025-2026): Financial Services and General Government and National Security, Department of State, and Related Programs Appropriations Act, 2026 | Congress.gov | Library of Congress
primary · model gpt-5.4-mini · confidence 91%

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Assessments

delivered same_term

The promise was fulfilled. The House-passed FY2026 State and related programs bill, H.R. 7006, included Section 7048 requiring the Secretary of State to review foreign governments' United Nations voting practices when considering bilateral assistance. That language was later carried into the enacted Consolidated Appropriations Act, 2026, H.R. 7148, which became Public Law 119-75 on February 3, 2026, and retained Section 7048 with the same operative requirement. Because Mario Diaz-Balart was serving in the House and chaired the appropriations subcommittee responsible for this bill area, he materially advanced the provision and can receive full credit within the same term.

provider codex_cli · model gpt-5.4 · confidence 96%