Congress is out of session until Monday, November 9 for the midterm campaign. No new roll-call votes until then; the last were the House on Sep 16 and the Senate on Sep 30.

Statements and posts

100 press releases, floor remarks and posts since Jan 3, 2025.

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Activity, last 12 weeks

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Pick a week or a day to set the dates below. One count per message: copies of one post on X and Bluesky count once, and reposts aren’t counted. Shading is scaled to Webster’s own volume over the last 12 months (a typical active day = 1). Aug 17, 2026 – Nov 3, 2026.

3 statements, Jul 21, 2025 – Jul 27, 2025

Newest first
  1. Press release

    Official

    Webster and Transportation Committee Leaders Introduce Legislation to Dramatically Reform FEMA

    Introduced bipartisan bill to reform FEMA, streamline disaster response, and make it a cabinet-level agency.

    “As a Floridian, I know firsthand the damage that hurricanes and natural disasters bring, and how important effective preparation, response and relief is when tragedy strikes”
  2. Press release

    Official

    Transportation and Public WorksFraud Enforcement

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    Chairman Webster Calls for Briefing to Address Surge in Rail Cargo Theft

    Led 23 colleagues requesting briefing from DOT and FRA on surge in freight rail cargo theft.

    “Freight rail is a critical component of our National supply chain, and the Committee is alarmed by the rising number of incidents that disrupt commerce, impose significant economic costs, and present serious safety and National security concerns.”
  3. Press release

    Official

    House Passes Webster’s Coast Guard Bill

    Passed Coast Guard Authorization Act strengthening maritime security and establishing Secretary of Coast Guard.

    “The United States Coast Guard plays a critical role in protecting our national security”

Sources: members’ press releases from their official websites (since the 119th Congress began (Jan 3, 2025)), the Congressional Record (since Aug 2026), and Bluesky posts. Quotes are shown only when they match the archived source text word for word; topics are AI-read and mentions are matched from the text.