Inside Trump’s suddenly softened new green card policy ⁠83%

By Lauren Kaori Gurley⁠0% Ian Duncan⁠0%

6/5/2026, 9:00:00 AM

BS Summary: This article contains 9 faulty reasoning types, including Availability Heuristic, Negativity Bias, and Appeal to Authority, with Framing Effect as the most egregious example at 100% saturation with 59 hits. Analysis detected 381 faulty-reasoning hits from 59 analyzed words, generating a BS Score of 75% and a BS Rank of ⁠83% (3,606 of 21,197 articles). This article is worse (more manipulative) than 83.00% of the article peer group.

In the days following a Trump administration announcement declaring most green card applicants would have to return to their countries of origin, America’s business leaders — including from the tech and artificial intelligence industries — privately warned the White House and other Trump officials that the policy would harm their workforces. 
Article reasoning-pattern comparisonThis article: 0.0%Lauren Kaori Gurley: 2.9%The Washington Post: 3.8%Confirmation Bias0.0%This article: 0.0%Lauren Kaori Gurley: 1.8%The Washington Post: 1.3%Anchoring Bias0.0%This article: 86.4%Lauren Kaori Gurley: 7.7%The Washington Post: 4.9%Availability Heuristic86.4%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 1.0%Representativeness Heuristic0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 100.0%Lauren Kaori Gurley: 31.5%The Washington Post: 21.5%Framing Effect100.0%This article: 0.0%Lauren Kaori Gurley: 2.7%The Washington Post: 0.8%Loss Aversion0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.9%Status Quo Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 3.6%Optimism Bias0.0%This article: 0.0%Lauren Kaori Gurley: 2.6%The Washington Post: 3.6%Pessimism Bias0.0%This article: 86.4%Lauren Kaori Gurley: 29.8%The Washington Post: 18.5%Negativity Bias86.4%This article: 0.0%Lauren Kaori Gurley: 0.7%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.7%The Washington Post: 2.2%In-Group Bias0.0%This article: 0.0%Lauren Kaori Gurley: 1.4%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 2.1%Halo Effect0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Lauren Kaori Gurley: 1.7%The Washington Post: 2.4%Recency Bias0.0%This article: 0.0%Lauren Kaori Gurley: 2.2%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.9%Ad Hominem0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Straw Man0.0%This article: 86.4%Lauren Kaori Gurley: 10.7%The Washington Post: 5.2%Appeal to Authority86.4%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 1.5%False Dilemma0.0%This article: 0.0%Lauren Kaori Gurley: 2.6%The Washington Post: 1.0%Slippery Slope0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Circular Reasoning0.0%This article: 0.0%Lauren Kaori Gurley: 5.7%The Washington Post: 5.9%Hasty Generalization0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 0.0%Lauren Kaori Gurley: 8.0%The Washington Post: 0.5%Bandwagon0.0%This article: 0.0%Lauren Kaori Gurley: 1.3%The Washington Post: 6.3%Appeal to Emotion0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 1.0%Begging the Question0.0%This article: 86.4%Lauren Kaori Gurley: 9.2%The Washington Post: 4.5%Post Hoc (False Cause)86.4%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Lauren Kaori Gurley: 0.7%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Lauren Kaori Gurley: 1.2%The Washington Post: 0.1%Composition/Division0.0%This article: 86.4%Lauren Kaori Gurley: 3.2%The Washington Post: 1.9%Anecdotal86.4%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 13.6%Lauren Kaori Gurley: 2.2%The Washington Post: 2.7%Ambiguity (Equivocation)13.6%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Middle Ground0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 86.4%Lauren Kaori Gurley: 3.9%The Washington Post: 4.8%Unattributed Quote86.4%This article: 0.0%Lauren Kaori Gurley: 0.6%The Washington Post: 2.5%Quote-first Misdirection0.0%This article: 13.6%Lauren Kaori Gurley: 16.5%The Washington Post: 15.2%Biased Writer Voice13.6%This article: 0.0%Lauren Kaori Gurley: 0.7%The Washington Post: 2.0%Indoctrination0.0%This article: 0.0%Lauren Kaori Gurley: 9.8%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 0.0%Lauren Kaori Gurley: 1.4%The Washington Post: 1.4%Politically Right Leaning Bias0.0%This article: 0.0%Lauren Kaori Gurley: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

59 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

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Analysis

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