Victorious Democrats promise to cut costs, but few say how

More than three-quarters of incoming congressional Democrats pledged to cut costs in their first messages after the election.

Affordability will be Democrats’ main focus, according to a Washington Post analysis of social media posts and victory speeches from 274 Democrats who won their elections last week.

“Life is way too expensive out there,” said Rep. Kathy Castor (D-Florida), in a victory speech posted online.

Even other topics, like alleged corruption in the Trump administration, were often tied to affordability.

“The policies of this administration have raised costs for millions of Americans, ripped healthcare, food assistance, and other essential services away from our people, and enriched the President and his family at the taxpayers’ expense,” tweeted Rep. Deborah Ross (D-North Carolina), who won reelection to the House.

But two-thirds of Democrats’ posts pledging affordability didn’t say how they planned to lower costs. For the 33 percent that did, most mentioned ending the war in Iran and tariffs.

“Our agenda: Stop this war. End the trade wars. Roll back healthcare cuts,” Rep. Jason Crow (D-Colorado) wrote on TikTok, saying, “There are actually three very specific things that this administration has done, that Donald Trump have done, that have blown a hole in people’s budget.”

Immigration enforcement and data centers fueled voter anger, but relatively few Democrats mentioned reining them in. And only a tiny fraction mentioned guns, climate or the war in Gaza — all potentially divisive issues in a broader-than-expected Democratic coalition.

Methodology: The Washington Post analyzed 2,381 social media posts and podcasts produced from the evening of Tuesday, Nov. 3, through Monday, Nov. 9, from all congressional Democrats who won their elections.

The Post identified agenda statements as explicit promises, plans and lists of problems. Twenty-five members of Congress made no public agenda statements. We classified those promises into 14 topic areas. An AI agenda-statement classifier had an accuracy rate of 94 percent; the topic classifier had an 85 percent accuracy rate; both used GPT-6 Luna.