BS Summary: This article contains 20 faulty reasoning types, including Begging the Question, In-Group Bias, and Hasty Generalization, with Framing Effect as the most egregious example at 25.2% saturation with 106 hits. Analysis detected 686 faulty-reasoning hits from 421 analyzed words, generating a BS Score of 52.7% and a BS Rank of 54% (9,363 of 20,151 articles). This article is worse (more manipulative) than 53.50% of the article peer group.

Bipartisan lawmakers voted against legislation that would have advanced the construction of a new women’s history museum in Washington, D.C., amid disagreements over “identity politics,” with House Democrats criticizing the proposed exclusion of transgender individuals from the museum. 
Democrats overwhelmingly opposed the legislation over a GOP provision stipulating that only biological women would be recognized by the museum. 
The measure failed in a 204–216 vote after a small group of Republicans joined Democrats in opposing the legislation, which would have secured a site on the National Mall for the future Smithsonian American Women’s History Museum. 
The bill would have authorized the use of federal land on the National Mall for the construction of the American Women’s History Museum, as the Smithsonian cannot begin building until the site is formally transferred for the project. 
The museum was planned for a location across from the National Museum of African American History and Culture on the Mall. 
Representative Nicole Malliotakis (R-N.Y.) rejected Democrats’ criticism of the bill, saying America has “more than enough women to display in this museum that we shouldn’t be fighting over the need to have non-biological individuals in there.” 
“So, I don’t understand why we’re pulling bipartisan support from legislation to establish this museum,” Malliotakis added. 
“As a matter of fact, let me read, so everybody at home knows exactly what this debate is over. 
It is over one sentence. 
‘The museum shall be dedicated to preserving, researching and presenting the history, achievements and lives experienced by biological women in the United States.’ 
That’s what the disagreement is about.” 
She continued, “I hate to alert my friends on the other side of the aisle, but a museum dedicated to women’s history should have women in it. 
That’s it. 
That’s simple.” 
The museum bill prohibits the depiction of “any biological male as female,” which formalizes language in an executive order (EO) issued by President Donald Trump in 2025, barring the inclusion of transgender individuals in the forthcoming museum. 
“The Museum shall be dedicated to preserving, researching, and presenting the history, achievements and lived experiences of biological women in the United States,” the amended measure, authored by Representative Mary Miller (R-Ill.), stated. 
“The addition of the word biological made them all run for the hills,” House Speaker Mike Johnson (R-La.) said during a news conference Wednesday. 
“If that’s controversial in the Democratic Party, we’re in serious trouble. 
The party that purports to support women demanding that the museum include biological men.” 
Article reasoning-pattern comparisonThis article: 1.4%Lillian Mann: 4.7%One America News Network: 4.6%Confirmation Bias1.4%This article: 1.7%Lillian Mann: 0.6%One America News Network: 2.4%Anchoring Bias1.7%This article: 5.7%Lillian Mann: 2.9%One America News Network: 3.9%Availability Heuristic5.7%This article: 0.0%Lillian Mann: 1.3%One America News Network: 1.1%Representativeness Heuristic0.0%This article: 0.0%Lillian Mann: 1.1%One America News Network: 0.9%Hindsight Bias0.0%This article: 0.0%Lillian Mann: 1.5%One America News Network: 2.9%Overconfidence Bias0.0%This article: 25.2%Lillian Mann: 8.6%One America News Network: 15.3%Framing Effect25.2%This article: 0.0%Lillian Mann: 0.2%One America News Network: 1.0%Loss Aversion0.0%This article: 0.0%Lillian Mann: 0.6%One America News Network: 1.1%Status Quo Bias0.0%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.1%Sunk Cost Effect0.0%This article: 0.0%Lillian Mann: 2.4%One America News Network: 4.3%Optimism Bias0.0%This article: 6.7%Lillian Mann: 1.1%One America News Network: 1.8%Pessimism Bias6.7%This article: 8.3%Lillian Mann: 8.8%One America News Network: 11.8%Negativity Bias8.3%This article: 0.0%Lillian Mann: 2.8%One America News Network: 3.2%Self-Serving Bias0.0%This article: 0.0%Lillian Mann: 1.5%One America News Network: 1.7%Fundamental Attribution Error0.0%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.2%Actor-Observer Bias0.0%This article: 18.3%Lillian Mann: 2.0%One America News Network: 3.9%In-Group Bias18.3%This article: 8.6%Lillian Mann: 0.8%One America News Network: 1.9%Out-Group Homogeneity Bias8.6%This article: 0.0%Lillian Mann: 3.3%One America News Network: 5.3%Halo Effect0.0%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.4%Horn Effect0.0%This article: 0.0%Lillian Mann: 0.0%One America News Network: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Lillian Mann: 1.0%One America News Network: 2.0%Recency Bias0.0%This article: 0.0%Lillian Mann: 0.4%One America News Network: 0.7%Primacy Effect0.0%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.1%Blind-Spot Bias0.0%This article: 3.3%Lillian Mann: 1.2%One America News Network: 2.5%Ad Hominem3.3%This article: 3.3%Lillian Mann: 0.3%One America News Network: 0.6%Straw Man3.3%This article: 0.0%Lillian Mann: 4.2%One America News Network: 6.3%Appeal to Authority0.0%This article: 1.7%Lillian Mann: 1.6%One America News Network: 1.8%False Dilemma1.7%This article: 2.6%Lillian Mann: 0.5%One America News Network: 1.1%Slippery Slope2.6%This article: 0.0%Lillian Mann: 0.0%One America News Network: 0.1%Circular Reasoning0.0%This article: 14.5%Lillian Mann: 4.2%One America News Network: 5.4%Hasty Generalization14.5%This article: 0.0%Lillian Mann: 0.4%One America News Network: 0.5%Red Herring0.0%This article: 0.0%Lillian Mann: 0.5%One America News Network: 1.1%Bandwagon0.0%This article: 0.0%Lillian Mann: 6.7%One America News Network: 10.0%Appeal to Emotion0.0%This article: 21.1%Lillian Mann: 1.3%One America News Network: 1.7%Begging the Question21.1%This article: 8.8%Lillian Mann: 2.5%One America News Network: 3.0%Post Hoc (False Cause)8.8%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.2%Tu Quoque0.0%This article: 0.0%Lillian Mann: 0.8%One America News Network: 0.6%Burden of Proof0.0%This article: 0.0%Lillian Mann: 0.3%One America News Network: 0.2%Appeal to Nature0.0%This article: 0.0%Lillian Mann: 0.2%One America News Network: 0.3%Composition/Division0.0%This article: 5.7%Lillian Mann: 1.0%One America News Network: 1.6%Anecdotal5.7%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.1%No True Scotsman0.0%This article: 8.6%Lillian Mann: 1.8%One America News Network: 1.4%Ambiguity (Equivocation)8.6%This article: 0.0%Lillian Mann: 0.0%One America News Network: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lillian Mann: 0.1%One America News Network: 0.1%Middle Ground0.0%This article: 4.0%Lillian Mann: 0.7%One America News Network: 0.2%Personal Incredulity4.0%This article: 0.0%Lillian Mann: 0.2%One America News Network: 0.3%Special Pleading0.0%This article: 0.0%Lillian Mann: 0.0%One America News Network: 0.7%Genetic Fallacy0.0%This article: 0.0%Lillian Mann: 1.7%One America News Network: 1.7%Unattributed Quote0.0%This article: 4.5%Lillian Mann: 1.6%One America News Network: 1.5%Quote-first Misdirection4.5%This article: 9.0%Lillian Mann: 5.0%One America News Network: 5.2%Biased Writer Voice9.0%This article: 0.0%Lillian Mann: 0.8%One America News Network: 1.1%Indoctrination0.0%This article: 0.0%Lillian Mann: 0.3%One America News Network: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Lillian Mann: 2.9%One America News Network: 3.8%Politically Right Leaning Bias0.0%This article: 0.0%Lillian Mann: 1.5%One America News Network: 1.5%Attempt to Sell a Product or S…0.0%

421 words analyzed.

Speakers

3speakers52%attributed speech202writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 38 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageNicole Malliotakis • 36 words • 0.0% coverageNicole Malliotakis • 17 words • 0.0% coverageNicole Malliotakis • 19 words • 100.0% coverageNicole Malliotakis • 5 words • 0.0% coverageNicole Malliotakis • 23 words • 0.0% coverageNicole Malliotakis • 6 words • 0.0% coverageNicole Malliotakis • 27 words • 0.0% coverageNicole Malliotakis • 2 words • 0.0% coverageNicole Malliotakis • 2 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageMary Miller • 33 words • 0.0% coverageMike Johnson • 24 words • 0.0% coverageMike Johnson • 11 words • 0.0% coverageMike Johnson • 14 words • 0.0% coverage
Selected voice

Mike Johnson

100%flagged-word coverage
49 attributed words22% of attributed speech71% writer coverage
0%10.0%20.0%Biased Writer Voice-18.8 ptsWriter: 18.8%Mike Johnson: 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.