Trump says he doesn’t know whether the $1.8 billion payout fund is dead ⁠50%

By Cat Zakrzewski⁠0%

6/3/2026, 9:55:11 PM

BS Summary: This article contains 6 faulty reasoning types, including Ambiguity (Equivocation), Framing Effect, and Recency Bias, with Negativity Bias as the most egregious example at 100% saturation with 54 hits. Analysis detected 244 faulty-reasoning hits from 54 analyzed words, generating a BS Score of 50% and a BS Rank of ⁠50% (11,083 of 21,886 articles). This article is better (less manipulative) than 50.60% of the article peer group.

President Donald Trump said Wednesday that he was not sure whether a proposed $1.8 billion fund for people claiming political persecution was dead, a departure from acting attorney general Todd Blanche’s more definitive assurance of the fund’s demise a day earlier. 
Article reasoning-pattern comparisonThis article: 0.0%Cat Zakrzewski: 1.0%The Washington Post: 3.8%Confirmation Bias0.0%This article: 0.0%Cat Zakrzewski: 1.7%The Washington Post: 1.3%Anchoring Bias0.0%This article: 0.0%Cat Zakrzewski: 4.9%The Washington Post: 4.9%Availability Heuristic0.0%This article: 0.0%Cat Zakrzewski: 2.7%The Washington Post: 1.0%Representativeness Heuristic0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Cat Zakrzewski: 2.4%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 75.9%Cat Zakrzewski: 32.0%The Washington Post: 21.5%Framing Effect75.9%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.8%Loss Aversion0.0%This article: 0.0%Cat Zakrzewski: 1.4%The Washington Post: 0.9%Status Quo Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 0.0%Cat Zakrzewski: 3.5%The Washington Post: 3.6%Optimism Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 3.6%Pessimism Bias0.0%This article: 100.0%Cat Zakrzewski: 14.0%The Washington Post: 18.5%Negativity Bias100.0%This article: 0.0%Cat Zakrzewski: 3.4%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 0.0%Cat Zakrzewski: 2.2%The Washington Post: 2.2%In-Group Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Cat Zakrzewski: 2.2%The Washington Post: 2.1%Halo Effect0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 75.9%Cat Zakrzewski: 3.7%The Washington Post: 2.4%Recency Bias75.9%This article: 0.0%Cat Zakrzewski: 6.0%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Cat Zakrzewski: 0.4%The Washington Post: 0.9%Ad Hominem0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Straw Man0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 5.2%Appeal to Authority0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.5%False Dilemma0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.0%Slippery Slope0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Circular Reasoning0.0%This article: 0.0%Cat Zakrzewski: 0.4%The Washington Post: 5.9%Hasty Generalization0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 0.0%Cat Zakrzewski: 0.7%The Washington Post: 0.5%Bandwagon0.0%This article: 0.0%Cat Zakrzewski: 2.9%The Washington Post: 6.3%Appeal to Emotion0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.0%Begging the Question0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 4.5%Post Hoc (False Cause)0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Composition/Division0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.9%Anecdotal0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 100.0%Cat Zakrzewski: 5.6%The Washington Post: 2.7%Ambiguity (Equivocation)100.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Middle Ground0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 75.9%Cat Zakrzewski: 11.5%The Washington Post: 4.8%Unattributed Quote75.9%This article: 0.0%Cat Zakrzewski: 2.0%The Washington Post: 2.5%Quote-first Misdirection0.0%This article: 24.1%Cat Zakrzewski: 24.0%The Washington Post: 15.2%Biased Writer Voice24.1%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 2.0%Indoctrination0.0%This article: 0.0%Cat Zakrzewski: 3.0%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.4%Politically Right Leaning Bias0.0%This article: 0.0%Cat Zakrzewski: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

54 words analyzed.

Speakers

1speaker76%attributed speech13writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageDonald Trump • 41 words • 100.0% coverage
Selected voice

Donald Trump

100%flagged-word coverage
41 attributed words100% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Donald Trump: 100.0%100.0%Biased Writer Voice-100.0 ptsWriter: 100.0%Donald Trump: 0.0%0.0%

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.