Senate votes to fund ICE for the rest of Trump’s term ⁠12%

By Theodoric Meyer⁠0% Jarrell Dillard⁠18%

6/4/2026, 5:44:38 AM

BS Summary: This article contains 3 faulty reasoning types, including In-Group Bias and Ambiguity (Equivocation), with Post Hoc (False Cause) as the most egregious example at 47% saturation with 31 hits. Analysis detected 45 faulty-reasoning hits from 66 analyzed words, generating a BS Score of 28.8% and a BS Rank of ⁠12% (19,323 of 21,887 articles). This article is better (less manipulative) than 88.30% of the article peer group.

The Senate voted early Friday to fund immigration enforcement agencies for the rest of President Donald Trump’s term after a revolt by Republican senators held up the bill’s passage for weeks. 
The bill passed 52-47 along party lines, with Sen. 
Lisa Murkowski (R-Alaska) joining Democrats in opposing it. 
Sen. 
Michael Bennet (D-Colorado) did not vote. 
Article reasoning-pattern comparisonThis article: 0.0%Theodoric Meyer: 2.1%The Washington Post: 3.8%Confirmation Bias0.0%This article: 0.0%Theodoric Meyer: 1.4%The Washington Post: 1.3%Anchoring Bias0.0%This article: 0.0%Theodoric Meyer: 4.9%The Washington Post: 4.9%Availability Heuristic0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.0%Representativeness Heuristic0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 0.0%Theodoric Meyer: 32.4%The Washington Post: 21.5%Framing Effect0.0%This article: 0.0%Theodoric Meyer: 0.4%The Washington Post: 0.8%Loss Aversion0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.9%Status Quo Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 3.6%Optimism Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 3.6%Pessimism Bias0.0%This article: 0.0%Theodoric Meyer: 23.2%The Washington Post: 18.5%Negativity Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 0.0%Theodoric Meyer: 2.5%The Washington Post: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 12.1%Theodoric Meyer: 0.5%The Washington Post: 2.2%In-Group Bias12.1%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 2.1%Halo Effect0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Theodoric Meyer: 2.1%The Washington Post: 2.4%Recency Bias0.0%This article: 0.0%Theodoric Meyer: 2.1%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.9%Ad Hominem0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Straw Man0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 5.2%Appeal to Authority0.0%This article: 0.0%Theodoric Meyer: 0.6%The Washington Post: 1.5%False Dilemma0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.0%Slippery Slope0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Circular Reasoning0.0%This article: 0.0%Theodoric Meyer: 5.5%The Washington Post: 5.9%Hasty Generalization0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.5%Bandwagon0.0%This article: 0.0%Theodoric Meyer: 7.5%The Washington Post: 6.3%Appeal to Emotion0.0%This article: 0.0%Theodoric Meyer: 1.4%The Washington Post: 1.0%Begging the Question0.0%This article: 47.0%Theodoric Meyer: 4.4%The Washington Post: 4.5%Post Hoc (False Cause)47.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Composition/Division0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.9%Anecdotal0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 9.1%Theodoric Meyer: 0.8%The Washington Post: 2.7%Ambiguity (Equivocation)9.1%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Middle Ground0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 4.8%Unattributed Quote0.0%This article: 0.0%Theodoric Meyer: 4.1%The Washington Post: 2.5%Quote-first Misdirection0.0%This article: 0.0%Theodoric Meyer: 22.8%The Washington Post: 15.2%Biased Writer Voice0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 2.0%Indoctrination0.0%This article: 0.0%Theodoric Meyer: 13.0%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 0.0%Theodoric Meyer: 2.1%The Washington Post: 1.4%Politically Right Leaning Bias0.0%This article: 0.0%Theodoric Meyer: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

66 words analyzed.

Speakers

2speakers21%attributed speech52writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageLisa Murkowski (R-Alaska) • 8 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageMichael Bennet (D-Colorado) • 6 words • 0.0% coverage
100%flagged-word coverage
8 attributed words57% of attributed speech60% 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.