Kim Schrier
U.S. Representative · WA-8 · Democrat
Statements and posts
141 press releases, floor remarks and posts since Jan 3, 2025.
Activity, last 12 weeks
0123+
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 Schrier’s own volume over the last 12 months (a typical active day = 1). Aug 17, 2026 – Nov 2, 2026.
3 statements, Jun 9, 2025 – Jun 15, 2025
Newest first-
Press release
Official
Today, Congresswoman Kim Schrier, M.D. (WA-08), pediatrician and member of the Energy and Commerce Committee, led 86 of her colleagues, with the support of Democratic members of the Energy and Commerce Committee, on a letter demanding that…
“Secretary Kennedy’s dangerous decision to fire all members of the Advisory Committee on Immunization Practices (ACIP) is a direct attack on science and a threat to our public health”
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Press release
Official
Yesterday, Congresswoman Kim Schrier, M.D. (WA-08) introduced the bipartisan, bicameral National Prescribed Fire Act of 2025, which would enhance forest health and lower the risk posed by catastrophic wildfires by investing in prescribed…
“Here in Washington State, we experience devastating wildfires every year. That’s why Congress must act now and address this issue”
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Press release
Official
Congresswoman Schrier Introduces Bill to Strengthen Diabetes Education and Care
Congresswoman Kim Schrier, M.D. (WA-08) recently reintroduced the bipartisan Expanding Access to Diabetes Self-Management Training Act, which will expand Medicare coverage for diabetes self-management training services.
“I’ve had type 1 diabetes for 40 years and still remember the lessons I learned in 1985 about managing my blood sugars. So I know firsthand the importance of education in navigating this disease.”
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.