Raw Story93%

'Something has changed': Reporter reveals Trump's fear  and the celeb weaponizing it 85%

By Alexander Willis88%

6/28/2026, 6:25:54 AM

BS Summary: This article contains 21 faulty reasoning types, including Hasty Generalization, Anecdotal, and Appeal to Emotion, with Negativity Bias as the most egregious example at 39.8% saturation with 148 hits. Analysis detected 1,139 faulty-reasoning hits from 372 analyzed words, generating a BS Score of 76.1% and a BS Rank of 85% (3,461 of 21,887 articles). This article is worse (more manipulative) than 84.20% of the article peer group.

President Donald Trump has successfully thwarted one of his greatest fears, journalist Molly Jong-Fast argued in an op-ed published in The New York Times Sunday, but one celebrity appeared to stand alone in weaponizing that fear against him. 
That fear, Jong-Fast argued, was that of celebrities undermining his messaging through fierce public condemnations. 
However, as she observed earlier this month while covering the Tony Awards in New York City, many celebrities remain paralyzed with “fear” of retribution from the president. 
“I could feel the fear,” Jong-Fast wrote. 
“The celebrities I spoke to were clearly worried that the views they had advertised just a few years earlier could cause them to be on the wrong side of a MAGA internet mob or a Brendan Carr call-out or a profitable film franchise’s hiring decisions. 
If they mentioned politics at all, they would gingerly nibble around its edges.” 
Jong-Fast acknowledged the criticism celebrity resistance had garnered over the years, noting it’s frequently been “mocked as trivial.” 
“Who cares what actors or pop stars think about politics?” 
Jong-Fast rhetorically asked before answering herself: “The president does.” 
“Celebrities are the only people who can dominate the algorithm with the same power as him, making them best poised to undermine the president’s otherwise overwhelming messaging,” Jong-Fast wrote. 
“We look to our cultural figures to show us how to fight back against the pressure to stay silent, to give us the words to say that what we’re seeing isn’t normal. 
When speaking up actually means risking something, for once, it is more necessary than ever.” 
And the one celebrity she encountered who appeared to weaponize that fear more than anyone was an old foe of the president’s. 
“Then, with a new face and the same old gleeful crankiness, Rosie O’Donnell appeared,” Jong-Fast wrote. 
“She told me she was coming back to America to do a one-woman show, and  despite having fled to Ireland upon Mr. 
Trump’s election to a second term  said she’s not afraid at all. 
Later, she texted me, ‘It’s the duty of all Americans to speak out against this fascist criminal administration  free speech  use it or lose it.’” 
Article reasoning-pattern comparisonThis article: 21.8%Alexander Willis: 6.9%Rawstory: 8.4%Confirmation Bias21.8%This article: 0.0%Alexander Willis: 0.5%Rawstory: 0.8%Anchoring Bias0.0%This article: 19.4%Alexander Willis: 7.3%Rawstory: 4.5%Availability Heuristic19.4%This article: 18.5%Alexander Willis: 1.0%Rawstory: 1.1%Representativeness Heuristic18.5%This article: 0.0%Alexander Willis: 0.6%Rawstory: 1.0%Hindsight Bias0.0%This article: 13.7%Alexander Willis: 2.6%Rawstory: 2.2%Overconfidence Bias13.7%This article: 7.5%Alexander Willis: 18.2%Rawstory: 13.4%Framing Effect7.5%This article: 4.0%Alexander Willis: 0.9%Rawstory: 0.4%Loss Aversion4.0%This article: 0.0%Alexander Willis: 0.8%Rawstory: 0.4%Status Quo Bias0.0%This article: 0.0%Alexander Willis: 0.6%Rawstory: 0.1%Sunk Cost Effect0.0%This article: 12.1%Alexander Willis: 0.7%Rawstory: 0.7%Optimism Bias12.1%This article: 4.8%Alexander Willis: 3.1%Rawstory: 2.9%Pessimism Bias4.8%This article: 39.8%Alexander Willis: 28.1%Rawstory: 21.6%Negativity Bias39.8%This article: 0.0%Alexander Willis: 0.9%Rawstory: 1.2%Self-Serving Bias0.0%This article: 0.0%Alexander Willis: 2.2%Rawstory: 2.8%Fundamental Attribution Error0.0%This article: 0.0%Alexander Willis: 0.9%Rawstory: 0.3%Actor-Observer Bias0.0%This article: 0.0%Alexander Willis: 2.1%Rawstory: 2.5%In-Group Bias0.0%This article: 0.0%Alexander Willis: 0.6%Rawstory: 1.6%Out-Group Homogeneity Bias0.0%This article: 4.3%Alexander Willis: 0.5%Rawstory: 0.6%Halo Effect4.3%This article: 0.0%Alexander Willis: 1.4%Rawstory: 0.9%Horn Effect0.0%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Alexander Willis: 2.6%Rawstory: 1.8%Recency Bias0.0%This article: 2.4%Alexander Willis: 0.6%Rawstory: 0.7%Primacy Effect2.4%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.1%Blind-Spot Bias0.0%This article: 0.0%Alexander Willis: 3.7%Rawstory: 6.3%Ad Hominem0.0%This article: 0.0%Alexander Willis: 0.9%Rawstory: 0.7%Straw Man0.0%This article: 0.0%Alexander Willis: 4.3%Rawstory: 4.1%Appeal to Authority0.0%This article: 17.7%Alexander Willis: 2.6%Rawstory: 3.0%False Dilemma17.7%This article: 0.0%Alexander Willis: 1.1%Rawstory: 1.5%Slippery Slope0.0%This article: 8.6%Alexander Willis: 0.1%Rawstory: 0.2%Circular Reasoning8.6%This article: 30.6%Alexander Willis: 8.9%Rawstory: 12.1%Hasty Generalization30.6%This article: 0.0%Alexander Willis: 1.7%Rawstory: 0.7%Red Herring0.0%This article: 0.0%Alexander Willis: 1.1%Rawstory: 0.8%Bandwagon0.0%This article: 26.9%Alexander Willis: 10.9%Rawstory: 9.2%Appeal to Emotion26.9%This article: 6.5%Alexander Willis: 1.3%Rawstory: 1.6%Begging the Question6.5%This article: 0.0%Alexander Willis: 2.7%Rawstory: 3.8%Post Hoc (False Cause)0.0%This article: 0.0%Alexander Willis: 0.5%Rawstory: 0.6%Tu Quoque0.0%This article: 0.0%Alexander Willis: 2.2%Rawstory: 1.7%Burden of Proof0.0%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.1%Appeal to Nature0.0%This article: 0.0%Alexander Willis: 0.4%Rawstory: 0.5%Composition/Division0.0%This article: 30.1%Alexander Willis: 6.7%Rawstory: 3.9%Anecdotal30.1%This article: 0.0%Alexander Willis: 0.1%Rawstory: 0.3%No True Scotsman0.0%This article: 1.9%Alexander Willis: 2.8%Rawstory: 2.4%Ambiguity (Equivocation)1.9%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.1%Middle Ground0.0%This article: 0.0%Alexander Willis: 0.4%Rawstory: 0.2%Personal Incredulity0.0%This article: 0.0%Alexander Willis: 0.0%Rawstory: 0.1%Special Pleading0.0%This article: 0.0%Alexander Willis: 0.5%Rawstory: 0.4%Genetic Fallacy0.0%This article: 0.0%Alexander Willis: 8.1%Rawstory: 5.3%Unattributed Quote0.0%This article: 2.4%Alexander Willis: 5.8%Rawstory: 4.1%Quote-first Misdirection2.4%This article: 13.2%Alexander Willis: 13.1%Rawstory: 15.7%Biased Writer Voice13.2%This article: 19.9%Alexander Willis: 2.0%Rawstory: 3.2%Indoctrination19.9%This article: 0.0%Alexander Willis: 7.0%Rawstory: 8.0%Politically Left Leaning Bias0.0%This article: 0.0%Alexander Willis: 0.9%Rawstory: 1.0%Politically Right Leaning Bias0.0%This article: 0.0%Alexander Willis: 0.4%Rawstory: 0.5%Attempt to Sell a Product or S…0.0%

372 words analyzed.

Speakers

2speakers94%attributed speech23writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageMolly Jong-Fast • 38 words • 0.0% coverageMolly Jong-Fast • 15 words • 0.0% coverageMolly Jong-Fast • 27 words • 0.0% coverageMolly Jong-Fast • 7 words • 100.0% coverageMolly Jong-Fast • 45 words • 0.0% coverageMolly Jong-Fast • 13 words • 100.0% coverageMolly Jong-Fast • 18 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageMolly Jong-Fast • 9 words • 100.0% coverageMolly Jong-Fast • 29 words • 0.0% coverageMolly Jong-Fast • 32 words • 100.0% coverageMolly Jong-Fast • 15 words • 100.0% coverageMolly Jong-Fast • 22 words • 0.0% coverageMolly Jong-Fast • 16 words • 100.0% coverageRosie O’Donnell • 23 words • 0.0% coverageRosie O’Donnell • 13 words • 0.0% coverageRosie O’Donnell • 27 words • 100.0% coverage
Selected voice

Molly Jong-Fast

100%flagged-word coverage
286 attributed words82% of attributed speech100% writer coverage
0%30.0%60.0%Biased Writer Voice-43.9 ptsWriter: 56.5%Molly Jong-Fast: 12.6%12.6%Indoctrination+16.4 ptsWriter: 0.0%Molly Jong-Fast: 16.4%16.4%Quote-first Misdirection+3.1 ptsWriter: 0.0%Molly Jong-Fast: 3.1%3.1%

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.