Trump-backed Ken Paxton ousts John Cornyn in heated Texas primary after scandal-plagued campaign ⁠67%

By David Smith⁠0%

5/27/2026, 1:39:41 AM

BS Summary: This article contains 22 faulty reasoning types, including Negativity Bias, Framing Effect, and Appeal to Emotion, with Biased Writer Voice as the most egregious example at 30.2% saturation with 172 hits. Analysis detected 1,214 faulty-reasoning hits from 569 analyzed words, generating a BS Score of 60.3% and a BS Rank of ⁠67% (7,403 of 21,887 articles). This article is worse (more manipulative) than 66.20% of the article peer group.

Ken Paxton, the Donald Trump-backed Texas attorney general, triumphed over incumbent John Cornyn in the Republican primary runoff for senator. 
His victory signals that even a scandal-plagued candidate can win over the deep red state with the support of the president. 
“After a public service career lasting more than four decades and 18 consecutive campaign wins, tonight we’ve come up short in this primary runoff,” Cornyn said shortly after the race was called. 
“I’ve always supported the GOP ticket. 
I intend to do so again this general election.” 
The race had wide implications for Trump’s strength heading into November’s midterm elections, where Paxton will now face James Talarico, a Democratic pastor and state legislator whose message of peace and populism has attracted much attention. 
If he wins, Talarico would become the first Democrat in more than 30 years to win statewide office in Texas. 
Midterm elections often serve as a referendum on the sitting president and tend to help the opposing party. 
This year Democrats are favored to win the House of Representatives, though a supreme court decision that decimated the Voting Rights Act could allow for more Republican-leaning districts and complicate the picture. 
The race for Senate remains in flux, though candidates such as Talarico, Graham Platner in Maine, as well as purple states such as Ohio and Michigan, could upset the Republican lead. 
Texas, which Trump won in 2024 by a gaping 14 percentage points in 2024, remains a conservative state, and the Republican primary was a testament to hot button issues – from religion to economy – that animate the base. 
First elected state attorney general in 2014, Paxton sought to position himself as a national leader on the far right, launching some of the first criminal investigations in the US over abortion bans and gender-affirming care for transgender youth. 
He also led a lawsuit attempting to overturn Trump’s loss to Joe Biden in 2020, an effort the US supreme court rejected. 
Brandon Rottinghaus, a political science professor at the University of Houston, said: “Paxton was Donald Trump before Donald Trump was. 
He was in the vanguard of the Tea Party movement, which was a major spur for the Maga movement nationally.” 
But Paxton comes with significant political baggage, and national Republicans worry they will have to spend significantly more with him as the nominee. 
Paxton was impeached in 2023 after being accused of corruption, and reported to the FBI. 
He was later acquitted in a trial in the Texas senate, where his wife was a state senator but not allowed to cast a vote. 
Paxton was also indicted on charges of felony securities fraud that could have led to a prison sentence, but the case was dismissed after a 2024 pre-trial diversion agreement. 
And last year his wife of 38 years, Angela Paxton, filed for divorce “on biblical grounds”, citing adultery. 
Cornyn, meanwhile, has had a less incendiary tenure, but sought to win over Trump diehards with his own conservative bona fides, and even introducing a bill to name a future highway after Trump. 
But Cornyn, a prominent figure in Republican politics who was nearly chosen to be the Senate majority leader, became the latest target of Trump’s retribution campaign. 
In a Sunday social media post, Trump said Cornyn had been “VERY disloyal” to me and implored voters in Texas to “REMEMBER!” 
Article reasoning-pattern comparisonThis article: 3.7%David Smith: 4.1%the Guardian: 3.7%Confirmation Bias3.7%This article: 0.0%David Smith: 0.5%the Guardian: 0.6%Anchoring Bias0.0%This article: 5.4%David Smith: 2.7%the Guardian: 3.1%Availability Heuristic5.4%This article: 13.7%David Smith: 1.2%the Guardian: 1.2%Representativeness Heuristic13.7%This article: 3.5%David Smith: 0.8%the Guardian: 1.0%Hindsight Bias3.5%This article: 0.0%David Smith: 2.5%the Guardian: 1.6%Overconfidence Bias0.0%This article: 24.4%David Smith: 10.2%the Guardian: 6.1%Framing Effect24.4%This article: 0.0%David Smith: 0.3%the Guardian: 0.6%Loss Aversion0.0%This article: 0.0%David Smith: 0.3%the Guardian: 0.6%Status Quo Bias0.0%This article: 0.0%David Smith: 0.1%the Guardian: 0.2%Sunk Cost Effect0.0%This article: 5.4%David Smith: 1.6%the Guardian: 2.5%Optimism Bias5.4%This article: 5.6%David Smith: 1.9%the Guardian: 2.1%Pessimism Bias5.6%This article: 29.9%David Smith: 14.2%the Guardian: 10.4%Negativity Bias29.9%This article: 1.6%David Smith: 1.9%the Guardian: 1.6%Self-Serving Bias1.6%This article: 5.8%David Smith: 2.2%the Guardian: 1.4%Fundamental Attribution Error5.8%This article: 0.0%David Smith: 0.2%the Guardian: 0.3%Actor-Observer Bias0.0%This article: 5.8%David Smith: 2.6%the Guardian: 1.3%In-Group Bias5.8%This article: 0.0%David Smith: 0.9%the Guardian: 0.7%Out-Group Homogeneity Bias0.0%This article: 0.0%David Smith: 2.3%the Guardian: 3.2%Halo Effect0.0%This article: 0.0%David Smith: 0.5%the Guardian: 0.3%Horn Effect0.0%This article: 0.0%David Smith: 0.0%the Guardian: 0.0%Dunning-Kruger Effect0.0%This article: 3.9%David Smith: 1.2%the Guardian: 1.2%Recency Bias3.9%This article: 0.0%David Smith: 0.4%the Guardian: 0.4%Primacy Effect0.0%This article: 0.0%David Smith: 0.0%the Guardian: 0.1%Blind-Spot Bias0.0%This article: 0.0%David Smith: 4.2%the Guardian: 2.0%Ad Hominem0.0%This article: 0.0%David Smith: 0.8%the Guardian: 0.6%Straw Man0.0%This article: 9.8%David Smith: 2.4%the Guardian: 3.8%Appeal to Authority9.8%This article: 0.0%David Smith: 2.1%the Guardian: 1.7%False Dilemma0.0%This article: 0.0%David Smith: 0.8%the Guardian: 1.1%Slippery Slope0.0%This article: 0.0%David Smith: 0.2%the Guardian: 0.1%Circular Reasoning0.0%This article: 12.3%David Smith: 6.7%the Guardian: 6.3%Hasty Generalization12.3%This article: 0.0%David Smith: 0.1%the Guardian: 0.2%Red Herring0.0%This article: 0.0%David Smith: 0.6%the Guardian: 0.7%Bandwagon0.0%This article: 14.8%David Smith: 4.7%the Guardian: 5.6%Appeal to Emotion14.8%This article: 0.0%David Smith: 1.0%the Guardian: 0.9%Begging the Question0.0%This article: 3.5%David Smith: 2.4%the Guardian: 2.9%Post Hoc (False Cause)3.5%This article: 0.0%David Smith: 0.1%the Guardian: 0.1%Tu Quoque0.0%This article: 0.0%David Smith: 0.3%the Guardian: 0.4%Burden of Proof0.0%This article: 6.9%David Smith: 0.2%the Guardian: 0.2%Appeal to Nature6.9%This article: 0.0%David Smith: 0.1%the Guardian: 0.4%Composition/Division0.0%This article: 0.0%David Smith: 1.6%the Guardian: 3.1%Anecdotal0.0%This article: 0.0%David Smith: 0.1%the Guardian: 0.1%No True Scotsman0.0%This article: 14.2%David Smith: 1.7%the Guardian: 1.6%Ambiguity (Equivocation)14.2%This article: 0.0%David Smith: 0.0%the Guardian: 0.0%Gambler’s Fallacy0.0%This article: 0.0%David Smith: 0.1%the Guardian: 0.1%Middle Ground0.0%This article: 0.0%David Smith: 0.1%the Guardian: 0.1%Personal Incredulity0.0%This article: 0.0%David Smith: 0.1%the Guardian: 0.1%Special Pleading0.0%This article: 3.2%David Smith: 0.3%the Guardian: 0.3%Genetic Fallacy3.2%This article: 0.0%David Smith: 0.9%the Guardian: 1.6%Unattributed Quote0.0%This article: 3.9%David Smith: 1.2%the Guardian: 1.1%Quote-first Misdirection3.9%This article: 30.2%David Smith: 13.8%the Guardian: 10.4%Biased Writer Voice30.2%This article: 0.0%David Smith: 0.8%the Guardian: 1.8%Indoctrination0.0%This article: 0.0%David Smith: 2.5%the Guardian: 3.1%Politically Left Leaning Bias0.0%This article: 5.8%David Smith: 1.2%the Guardian: 0.3%Politically Right Leaning Bias5.8%This article: 0.0%David Smith: 0.3%the Guardian: 1.0%Attempt to Sell a Product or S…0.0%

569 words analyzed.

Speakers

3speakers19%attributed speech460writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageJohn Cornyn • 32 words • 0.0% coverageJohn Cornyn • 6 words • 0.0% coverageJohn Cornyn • 9 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageBrandon Rottinghaus • 20 words • 0.0% coverageBrandon Rottinghaus • 20 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageDonald Trump • 22 words • 100.0% coverage
Selected voice

Donald Trump

100%flagged-word coverage
22 attributed words20% of attributed speech90% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Donald Trump: 100.0%100.0%Biased Writer Voice-37.4 ptsWriter: 37.4%Donald Trump: 0.0%0.0%Politically Right Leaning -7.2 ptsWriter: 7.2%Donald Trump: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.