Trump Backs Mike Bouchard for Michigan’s 10th Congressional District
Trump endorses Army veteran Mike Bouchard for the U.S. House seat in Michigan's 10th District, calling him a champion for borders, veterans, and Michigan workers.
WASHINGTON D.C. — Donald J. Trump endorsed Mike Bouchard, a U.S. Army veteran, for the U.S. House of Representatives seat representing Michigan’s 10th Congressional District, urging voters to support Bouchard in the November election.
Here is the full post on truthsocial: “Mike Bouchard has my Complete and Total Endorsement to be the next U.S. Representative from Michigan’s 10th Congressional District — HE WILL NEVER LET YOU DOWN! Trump” on September 21, 2026 at 2:41 PM ET.
This is Trump’s 13th message released today, and the last post was 33 minutes ago, and it is not part of a thread. On average, Trump produces 17 posts per day since his inauguration on January 20, 2025. The move fits a broader pattern in Trump’s recent messaging, with 2 of his 21 posts over the last 30 days classified as Elections posts.
In a video message posted alongside the written endorsement, Trump said Bouchard served in the 82nd and 101st Airborne Divisions and deployed to fight ISIS and support border security missions. Trump said Bouchard would be a champion for strong borders, safe communities, low taxes, affordable healthcare, and a powerful military. Trump also said Bouchard would fight to bring jobs, factories, and automobile plants back to Michigan.
Trump said Bouchard’s opponent, Christina Heins, had as a prosecutor sided with criminals, cut deals with violent offenders, and dropped charges against a human trafficker who went on to reoffend. Those characterizations are Trump’s claims as stated in his post and have not been independently verified.
Trump said in the video that he won Michigan in the last election and called on voters to support Bouchard this November to continue that momentum.
NewsFindr Chart Maker
Photo by Zenger real-time database of all Truth Social posts.
Zenger analysis
Photo by Zenger analysis