Breitbart84%

Cotton: China Views Democratic Socialists of America as 'Ideological Fellow Travelers' 89%

By Jeff Poor100% #author79%

7/11/2026, 3:59:52 PM

BS Summary: This article contains 6 faulty reasoning types, including Straw Man, Slippery Slope, and Hasty Generalization, with Politically Right Leaning Bias as the most egregious example at 76.8% saturation with 185 hits. Analysis detected 379 faulty-reasoning hits from 241 analyzed words, generating a BS Score of 85.1% and a BS Rank of 89% (1,572 of 14,328 articles). This article is worse (more manipulative) than 89.00% of the article peer group.

Friday, during an appearance on FNC’s “The Ingraham Angle,” Sen. 
Tom Cotton (R-AR) argued that the rise of so-called Democratic Socialists would have implications on the global stage. 
According to the Arkansas Republican, the communist Chinese saw these American candidates as “ideological fellow travelers.” 
“Senator, I’m sure you suspected that this was in the offing,” host Laura Ingraham said. 
“It doesn’t shock me at all that communist China believes it will have a friend in these new socialists.” 
Cotton replied, “No, Laura, it doesn’t shock me either. 
And we shouldn’t be surprised that socialists in America and socialists in China get along so well. 
They’re both socialists, after all. 
This woman, for instance, belonged to a political caucus whose manifesto opens with a quote from Karl Marx. 
One of her comrades in New York City founded an organization that said it was dedicated to the destruction of Western civilization.” 
“And you heard in that quote right there, what she’s really pushing for in the future is a kind of global government, which, of course, has been the ultimate goal of Marxist-Leninist-Maoist thought from the very beginning, to have worldwide communist government that eliminates self-governing democracies like the United States and our friends and allies,” he added. 
“So, we shouldn’t be surprised at all that China views these socialists in America as ideological fellow travelers.” 
Follow Jeff Poor on X @jeff_poor 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
7.5%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
0%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
32.8%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
23.7%
Circular Reasoning
0%
Hasty Generalization
14.5%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
2.1%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
76.8%
Attempt to Sell a Product or Service
0%

241 words analyzed.

Speakers

2speakers75%attributed speech61writer words
Voice mapSelect a segment to jump to its words
Selected voice

Tom Cotton

94%flagged-word coverage
146 attributed words81% of attributed speech56% writer coverage
Politically Right Leaning Bias+34.7 pts
Writer 56%Tom Cotton 90%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Analysis

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