Raw Story⁠93%

Trump passport screw-up leaves conservative pundit speechless and MS NOW hosts laughing ⁠55%

By Tom Boggioni⁠86%

6/27/2026, 5:23:00 AM

Topics: Politics, Humor

BS Summary: This article contains 17 faulty reasoning types, including Anecdotal, Biased Writer Voice, and Framing Effect, with Negativity Bias as the most egregious example at 57.2% saturation with 131 hits. Analysis detected 742 faulty-reasoning hits from 229 analyzed words, generating a BS Score of 52.9% and a BS Rank of ⁠55% (9,888 of 21,887 articles). This article is worse (more manipulative) than 54.80% of the article peer group.

The release of a Donald Trump “commemorative” US passport, featuring an incomprehensible message from the president, baffled a conservative pundit on Saturday morning, which led to gales of laughter on MS NOW. 
Before moving on to more serious topics, “The Weekend” co-host Jackie Alemany told the panel, “Let's talk about Donald Trump's new commemorative passport. 
This features a picture of the President leaning over scowling with his signature scowl, but it also has a new catchphrase on it. 
His message: ‘Welcome, but be good.’ 
That led to an initial outburst of laughter and all five panelists talking over each other before conservative journalist David Drucker attempted, “I mean sure, we should all be good, whether you're coming here or not.” 
“I don't — I mean, what do you do with that?” 
he asked before pausing, which led to another outburst of laughter. 
Boston Globe columnist Kimberly Atkins Stohr interjected, “Does he understand what a passport does? 
A passport allows you to travel —.” 
“To leave the country!” 
co-host Eugene Daniels interrupted. 
“We’re all immigrants until he says we're not, so maybe that's what that it means,” Drucker joked. 
“I can't imagine traveling abroad and presenting that, you know, proudly and just wondering what the — the impression that I'd be making,” Atkins Stohr added to more laughing. 
Article reasoning-pattern comparisonThis article: 0.0%Tom Boggioni: 4.8%Rawstory: 8.4%Confirmation Bias0.0%This article: 0.0%Tom Boggioni: 1.4%Rawstory: 0.8%Anchoring Bias0.0%This article: 0.0%Tom Boggioni: 6.8%Rawstory: 4.5%Availability Heuristic0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 1.1%Representativeness Heuristic0.0%This article: 0.0%Tom Boggioni: 0.3%Rawstory: 1.0%Hindsight Bias0.0%This article: 0.0%Tom Boggioni: 0.7%Rawstory: 2.2%Overconfidence Bias0.0%This article: 34.9%Tom Boggioni: 20.8%Rawstory: 13.4%Framing Effect34.9%This article: 0.0%Tom Boggioni: 1.0%Rawstory: 0.4%Loss Aversion0.0%This article: 0.0%Tom Boggioni: 1.1%Rawstory: 0.4%Status Quo Bias0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.1%Sunk Cost Effect0.0%This article: 0.0%Tom Boggioni: 0.7%Rawstory: 0.7%Optimism Bias0.0%This article: 12.7%Tom Boggioni: 5.4%Rawstory: 2.9%Pessimism Bias12.7%This article: 57.2%Tom Boggioni: 28.2%Rawstory: 21.6%Negativity Bias57.2%This article: 0.0%Tom Boggioni: 0.4%Rawstory: 1.2%Self-Serving Bias0.0%This article: 6.1%Tom Boggioni: 3.9%Rawstory: 2.8%Fundamental Attribution Error6.1%This article: 0.0%Tom Boggioni: 0.6%Rawstory: 0.3%Actor-Observer Bias0.0%This article: 7.4%Tom Boggioni: 1.2%Rawstory: 2.5%In-Group Bias7.4%This article: 0.0%Tom Boggioni: 1.2%Rawstory: 1.6%Out-Group Homogeneity Bias0.0%This article: 0.0%Tom Boggioni: 0.7%Rawstory: 0.6%Halo Effect0.0%This article: 0.0%Tom Boggioni: 1.2%Rawstory: 0.9%Horn Effect0.0%This article: 0.0%Tom Boggioni: 0.2%Rawstory: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Tom Boggioni: 1.9%Rawstory: 1.8%Recency Bias0.0%This article: 10.0%Tom Boggioni: 0.6%Rawstory: 0.7%Primacy Effect10.0%This article: 0.0%Tom Boggioni: 0.3%Rawstory: 0.1%Blind-Spot Bias0.0%This article: 5.2%Tom Boggioni: 2.3%Rawstory: 6.3%Ad Hominem5.2%This article: 0.0%Tom Boggioni: 0.5%Rawstory: 0.7%Straw Man0.0%This article: 6.1%Tom Boggioni: 4.8%Rawstory: 4.1%Appeal to Authority6.1%This article: 0.0%Tom Boggioni: 1.8%Rawstory: 3.0%False Dilemma0.0%This article: 0.0%Tom Boggioni: 1.7%Rawstory: 1.5%Slippery Slope0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.2%Circular Reasoning0.0%This article: 7.4%Tom Boggioni: 10.5%Rawstory: 12.1%Hasty Generalization7.4%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.7%Red Herring0.0%This article: 0.0%Tom Boggioni: 1.1%Rawstory: 0.8%Bandwagon0.0%This article: 13.5%Tom Boggioni: 8.5%Rawstory: 9.2%Appeal to Emotion13.5%This article: 0.0%Tom Boggioni: 1.2%Rawstory: 1.6%Begging the Question0.0%This article: 18.8%Tom Boggioni: 2.4%Rawstory: 3.8%Post Hoc (False Cause)18.8%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.6%Tu Quoque0.0%This article: 0.0%Tom Boggioni: 1.0%Rawstory: 1.7%Burden of Proof0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.1%Appeal to Nature0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.5%Composition/Division0.0%This article: 42.4%Tom Boggioni: 4.8%Rawstory: 3.9%Anecdotal42.4%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.3%No True Scotsman0.0%This article: 17.9%Tom Boggioni: 3.9%Rawstory: 2.4%Ambiguity (Equivocation)17.9%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.1%Middle Ground0.0%This article: 12.7%Tom Boggioni: 0.4%Rawstory: 0.2%Personal Incredulity12.7%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.1%Special Pleading0.0%This article: 0.0%Tom Boggioni: 0.0%Rawstory: 0.4%Genetic Fallacy0.0%This article: 0.0%Tom Boggioni: 5.4%Rawstory: 5.3%Unattributed Quote0.0%This article: 15.7%Tom Boggioni: 4.1%Rawstory: 4.1%Quote-first Misdirection15.7%This article: 41.9%Tom Boggioni: 19.7%Rawstory: 15.7%Biased Writer Voice41.9%This article: 0.0%Tom Boggioni: 0.7%Rawstory: 3.2%Indoctrination0.0%This article: 0.0%Tom Boggioni: 4.1%Rawstory: 8.0%Politically Left Leaning Bias0.0%This article: 14.0%Tom Boggioni: 0.9%Rawstory: 1.0%Politically Right Leaning Bias14.0%This article: 0.0%Tom Boggioni: 0.5%Rawstory: 0.5%Attempt to Sell a Product or S…0.0%

229 words analyzed.

Speakers

3speakers39%attributed speech139writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageJackie Alemany • 23 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageKimberly Atkins Stohr • 14 words • 0.0% coverageKimberly Atkins Stohr • 7 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageDavid Drucker • 17 words • 0.0% coverageKimberly Atkins Stohr • 29 words • 100.0% coverage
Selected voice

David Drucker

100%flagged-word coverage
17 attributed words19% of attributed speech90% writer coverage
0%25.0%50.0%Biased Writer Voice-48.2 ptsWriter: 48.2%David Drucker: 0.0%0.0%Quote-first Misdirection-25.9 ptsWriter: 25.9%David Drucker: 0.0%0.0%Politically Right Leaning -23.0 ptsWriter: 23.0%David Drucker: 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.