Cornyn’s blowout loss exposes polling miss in Texas primary
Sen. John Cornyn's defeat in the Texas GOP primary revealed significant inaccuracies in pre-election polling. He lost to Texas Attorney General Ken Paxton by over 27 points, contrary to predictions of a much closer race. Factors contributing to Paxton's success included a late endorsement from Donald Trump and lower voter turnout for Cornyn.
- ▪Cornyn lost the runoff primary election to Paxton by a margin of 36.2% to 63.8%.
- ▪Polling prior to the election underestimated the scale of Cornyn's loss, predicting an 8-point margin.
- ▪Paxton's victory was bolstered by a last-minute endorsement from President Trump and lower turnout for Cornyn.
2 outlets in our directory ran this story, first to last over 18 hours. All of the coverage we found sits in one bucket: lean left. That one-sidedness is itself worth noticing.
- ▪ Cornyn concedes after projected loss in Texas Senate primary — NBC News — Politics
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| Original publisher | Washington Examiner |
| Canonical URL | https://www.washingtonexaminer.com/news/campaigns/congressional/4583922/cornyn-blowout-loss-exposes-polling-miss-texas-primary/ |
| Publication time | Wed, 27 May 2026 19:42:11 +0000 |
| Retrieval time | 2026-05-27T19:48:04.030Z |
| Last seen | 2026-05-27T19:48:04.030Z |
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| Cluster | N7m-8ZGI3vF6 · 2 stories |
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Opening excerpt (first ~120 words) tap to expand
Sen. John Cornyn’s (R-TX) performance in the Texas Senate GOP primary election on Tuesday indicated polling for one of the country’s most closely watched races failed to sufficiently capture the political dynamic. Cornyn lost the runoff primary election by a more-than 27-point margin, as he trails Texas Attorney General Ken Paxton 36.2% to 63.8%, according to the Associated Press. Recommended Stories Spencer Pratt may be the answer: Joe Concha Rising gas prices are causing voters to reconsider voting for GOP: Poll Florida judge strikes down challenge to new GOP congressional map Though polls leading up to the election showed Cornyn trailing, most failed to accurately predict the sweeping scale of the incumbent’s loss.
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