Democrats official X account turns vulgar to bash Stephen Miller 68%

By Rachel Dobkin0%

5/27/2026, 11:20:09 PM

BS Summary: This article contains 25 faulty reasoning types, including Biased Writer Voice, Unattributed Quote, and Negativity Bias, with Framing Effect as the most egregious example at 39.2% saturation with 147 hits. Analysis detected 1,105 faulty-reasoning hits from 375 analyzed words, generating a BS Score of 62.1% and a BS Rank of 68% (5,413 of 16,813 articles). This article is worse (more manipulative) than 67.80% of the article peer group.

The Democratic Party’s official X account did not pull any punches in its response to White House Deputy Chief of Staff Stephen Miller criticizing Senate candidate James Talarico. 
A photo of Talarico, the Democrats’ pick in a consequential U.S. 
Senate race in Texas against Ken Paxton, sparked the online spat. 
“Fired up. 
Ready to go. 
It’s time to take back Texas,” the Democratic Party wrote on X alongside the photo Tuesday night after Texas Attorney General Paxton, President Donald Trump’s pick, defeated Senator John Cornyn in a Republican runoff. 
“The Democrats made history in Texas by nominating their first transgender senate candidate,” Miller baselessly claimed in an X post replying to the Democrats. 
There is no credible evidence that Talarico, known for his Christian faith, is transgender. 
But he has been a supporter of transgender rights, making controversial comments such as saying, “God is non-binary.” 
The Democrats hit back at Miller with their own personal attack, writing, “Shut up you ugly f***.” 
The Independent has reached out to the White House and Talarico’s campaign for comment. 
The use of profanity is in line with a reported uptick in members of the Democratic Party using the F-word on social media. 
In January, there were 23 instances of 12 Democratic lawmakers using the F-bomb on X, according to a six-year analysis by The New York Times published in April. 
While the Democratic Party throws expletives at the Trump administration and California Governor Gavin Newsom trolls the president online, Talarico has taken a different, less aggressive approach to American politics. 
Talarico has run on a platform of unity in a divided country, claiming that the billionaires are tearing the working class apart. 
“The people at the top work so hard to keep us angry and divided because our unity is a threat to their wealth and power,” Talario wrote on his campaign website. 
“They divide us by party, by race, by gender, by religion so we don’t notice they’re defunding our schools, gutting our healthcare, and cutting taxes for themselves and their rich friends,” he said. 
Talarico, who beat Representative Jasmine Crockett with an outright majority in the Democrats’ March primary, will face off against Paxton in November. 
Confirmation Bias
15.2%
Anchoring Bias
0%
Availability Heuristic
12%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
39.2%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
5.9%
Pessimism Bias
0%
Negativity Bias
22.7%
Self-Serving Bias
8.3%
Fundamental Attribution Error
3.7%
Actor-Observer Bias
0%
In-Group Bias
8%
Out-Group Homogeneity Bias
9.3%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
4.5%
Straw Man
0%
Appeal to Authority
7.5%
False Dilemma
8%
Slippery Slope
8.8%
Circular Reasoning
0%
Hasty Generalization
6.1%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
7.2%
Begging the Question
14.7%
Post Hoc (False Cause)
11.7%
Tu Quoque
0%
Burden of Proof
10.1%
Appeal to Nature
0%
Composition/Division
8%
Anecdotal
4.8%
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
23.5%
Quote-first Misdirection
2.9%
Biased Writer Voice
30.9%
Indoctrination
8.8%
Politically Left Leaning Bias
12.8%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

375 words analyzed.

Analysis

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