KUER⁠0%

Senators, including Utah’s John Curtis, to visit Taiwan before Trump’s China summit ⁠54%

By Associated Press⁠60%

3/28/2026, 4:57:50 PM

BS Summary: This article contains 14 faulty reasoning types, including Framing Effect, Halo Effect, and Confirmation Bias, with Negativity Bias as the most egregious example at 18% saturation with 74 hits. Analysis detected 444 faulty-reasoning hits from 412 analyzed words, generating a BS Score of 52.5% and a BS Rank of ⁠54% (10,074 of 21,887 articles). This article is worse (more manipulative) than 54.00% of the article peer group.

A bipartisan group of four senators has plans to visit Taiwan, Japan and South Korea in the coming days on a trip meant to bolster U.S. alliances seen as important to countering China's dominance in Asia. 
Sen. 
Jeanne Shaheen of New Hampshire, the top Democrat on the Senate Foreign Relations Committee, announced the trip Saturday. 
She will be joined by Sens. 
John Curtis, R-Utah, Thom Tillis, R-N.C., and Jacky Rosen, D-Nev. 
Their visits to Taipei, Tokyo and Seoul are coming before President Donald Trump's trip to Beijing in May for a rescheduled summit with Chinese President Xi Jinping. 
The lawmakers' stop in Taiwan could draw scrutiny from China, which opposes such relations and sees them as a challenge to its claim of sovereignty over the self-governing island. 
Taiwan relies on American backing for its democracy, but recent moves by Trump, such as discussing a potential weapons sale to Taiwan with Xi, have raised questions about the future direction of U.S. policy. 
Analysts in both China and the United States believe Xi, through the leader-level summit, will try to influence Trump to soften the U.S. stance on Taiwan. 
“This bipartisan delegation demonstrates Congress’ commitment to these alliances and partnerships is unwavering and will endure well beyond any one administration,” Shaheen said in a statement. 
In a show of reassurance to the Asian allies, the lawmakers plan to meet with political leaders and defense officials on their trip. 
“Our alliance with Taiwan is one of the most strategically and morally significant partnerships America has in the Indo-Pacific,” Curtis said. 
It remains to be seen how Trump's intervention in Venezuela, Iran and elsewhere could influence other powers such as China and Russia. 
But there is some concern among lawmakers that the Republican president's actions could be seen as giving those countries an opening for their own foreign moves. 
The economic relationship with Taiwan has also come under scrutiny from the Trump administration. 
The U.S. is reliant on Taiwan for its production of computer chips, which contributed to a trade imbalance of nearly $127 billion during the first 11 months of 2025. 
The Trump administration reached a deal with Taiwan in February that removed 99% of its trade barriers. 
During another visit by a bipartisan group of U.S. lawmakers last year, they emphasized that the U.S. would continue to partner closely with Taiwan. 
This story was written by Stephen Groves of the Associated Press 
Article reasoning-pattern comparisonThis article: 7.0%Associated Press: 2.2%KUER: 2.8%Confirmation Bias7.0%This article: 0.0%Associated Press: 0.8%KUER: 1.3%Anchoring Bias0.0%This article: 6.3%Associated Press: 3.2%KUER: 3.4%Availability Heuristic6.3%This article: 0.0%Associated Press: 0.8%KUER: 1.2%Representativeness Heuristic0.0%This article: 0.0%Associated Press: 0.6%KUER: 0.5%Hindsight Bias0.0%This article: 0.0%Associated Press: 1.1%KUER: 1.9%Overconfidence Bias0.0%This article: 14.3%Associated Press: 7.1%KUER: 7.4%Framing Effect14.3%This article: 0.0%Associated Press: 0.5%KUER: 1.3%Loss Aversion0.0%This article: 5.8%Associated Press: 0.6%KUER: 1.2%Status Quo Bias5.8%This article: 0.0%Associated Press: 0.1%KUER: 0.3%Sunk Cost Effect0.0%This article: 6.3%Associated Press: 2.1%KUER: 4.4%Optimism Bias6.3%This article: 5.3%Associated Press: 1.6%KUER: 2.4%Pessimism Bias5.3%This article: 18.0%Associated Press: 8.7%KUER: 6.3%Negativity Bias18.0%This article: 5.1%Associated Press: 2.0%KUER: 2.2%Self-Serving Bias5.1%This article: 0.0%Associated Press: 0.8%KUER: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.2%Actor-Observer Bias0.0%This article: 6.3%Associated Press: 1.0%KUER: 1.9%In-Group Bias6.3%This article: 0.0%Associated Press: 0.4%KUER: 0.6%Out-Group Homogeneity Bias0.0%This article: 11.4%Associated Press: 2.3%KUER: 2.3%Halo Effect11.4%This article: 0.0%Associated Press: 0.2%KUER: 0.1%Horn Effect0.0%This article: 0.0%Associated Press: 0.0%KUER: 0.0%Dunning-Kruger Effect0.0%This article: 4.1%Associated Press: 1.4%KUER: 1.2%Recency Bias4.1%This article: 0.0%Associated Press: 0.3%KUER: 0.3%Primacy Effect0.0%This article: 0.0%Associated Press: 0.0%KUER: 0.1%Blind-Spot Bias0.0%This article: 0.0%Associated Press: 0.8%KUER: 0.6%Ad Hominem0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.4%Straw Man0.0%This article: 6.3%Associated Press: 3.4%KUER: 4.7%Appeal to Authority6.3%This article: 0.0%Associated Press: 0.8%KUER: 1.7%False Dilemma0.0%This article: 0.0%Associated Press: 0.6%KUER: 1.1%Slippery Slope0.0%This article: 0.0%Associated Press: 0.0%KUER: 0.2%Circular Reasoning0.0%This article: 0.0%Associated Press: 2.7%KUER: 4.1%Hasty Generalization0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.2%Red Herring0.0%This article: 0.0%Associated Press: 0.4%KUER: 0.7%Bandwagon0.0%This article: 5.1%Associated Press: 4.7%KUER: 5.6%Appeal to Emotion5.1%This article: 0.0%Associated Press: 0.6%KUER: 0.7%Begging the Question0.0%This article: 0.0%Associated Press: 2.2%KUER: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.1%Tu Quoque0.0%This article: 0.0%Associated Press: 0.5%KUER: 0.4%Burden of Proof0.0%This article: 0.0%Associated Press: 0.1%KUER: 0.2%Appeal to Nature0.0%This article: 0.0%Associated Press: 0.1%KUER: 0.3%Composition/Division0.0%This article: 0.0%Associated Press: 1.7%KUER: 3.1%Anecdotal0.0%This article: 0.0%Associated Press: 0.1%KUER: 0.1%No True Scotsman0.0%This article: 0.0%Associated Press: 1.2%KUER: 1.5%Ambiguity (Equivocation)0.0%This article: 0.0%Associated Press: 0.0%KUER: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Associated Press: 0.1%KUER: 0.2%Middle Ground0.0%This article: 0.0%Associated Press: 0.0%KUER: 0.1%Personal Incredulity0.0%This article: 0.0%Associated Press: 0.1%KUER: 0.1%Special Pleading0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.2%Genetic Fallacy0.0%This article: 6.3%Associated Press: 1.3%KUER: 0.8%Unattributed Quote6.3%This article: 0.0%Associated Press: 1.1%KUER: 0.7%Quote-first Misdirection0.0%This article: 0.0%Associated Press: 3.0%KUER: 2.2%Biased Writer Voice0.0%This article: 0.0%Associated Press: 0.7%KUER: 1.6%Indoctrination0.0%This article: 0.0%Associated Press: 0.8%KUER: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Associated Press: 0.2%KUER: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Associated Press: 0.4%KUER: 1.0%Attempt to Sell a Product or S…0.0%

412 words analyzed.

Speakers

2speakers16%attributed speech347writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageJeanne Shaheen • 18 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageJeanne Shaheen • 26 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageJohn Curtis • 21 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverage
Selected voice

John Curtis

100%flagged-word coverage
21 attributed words32% of attributed speech72% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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

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Analysis

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