Lisa C. McClain
U.S. Representative · MI-9 · Republican
Statements and posts
148 press releases, floor remarks and posts since Jan 3, 2025.
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 McClain’s own volume over the last 12 months (a typical active day = 1). Aug 17, 2026 – Nov 3, 2026.
3 statements, Aug 17, 2026 – Aug 23, 2026
Newest first-
Extension of Remarks
Official
Celebrating the 50th Anniversary of the Berlin Township Fire Department
Mr. Speaker, I rise today to celebrate the Berlin Township Fire Department on its 50th anniversary. For five decades, the department has proudly answered the call whenever its neighbors need them most. This milestone is a well-deserved opportunity to recognize the excellence and dedication that…
Read in the Congressional Record · submitted in writing
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Extension of Remarks
Official
Recognizing Keith Aeder for More Than Four Decades of Public Service
Mr. Speaker, I rise today to recognize Keith Aeder for his decades of dedicated public service to the residents of Fairgrove Township and the surrounding community as he marks his retirement from the Vassar Area Ambulance Board of Directors. Since 1984, Keith has been a steadfast leader in…
Read in the Congressional Record · submitted in writing
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Extension of Remarks
Official
Honoring New Baltimore 2026 Citizen of the Year John J. Dailey
Mr. Speaker, I rise today to recognize John J. Dailey, a longtime New Baltimore resident and the City of New Baltimore's 2026 Citizen of the Year. For more than five decades, John has dedicated his time and talents to strengthening the communities he calls home. As a professional community planner,…
Read in the Congressional Record · submitted in writing
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.