Mediaite70%

Republican Says She Wouldn’t Want Daughter to Work on Capitol Hill Due to ‘Culture of Creepiness’ 74%

By Kathryn Wilkens41%

7/23/2026, 12:05:50 AM

BS Summary: This article contains 19 faulty reasoning types, including Indoctrination, Availability Heuristic, and Framing Effect, with Negativity Bias as the most egregious example at 60.4% saturation with 201 hits. Analysis detected 1,174 faulty-reasoning hits from 333 analyzed words, generating a BS Score of 65.9% and a BS Rank of 74% (5,786 of 21,886 articles). This article is worse (more manipulative) than 73.60% of the article peer group.

Rep. 
Kat Cammack (R-FL) told MeidasTouch on Wednesday that she “wouldn’t feel comfortable” with her daughter working on Capitol Hill due to a “culture of creepiness.” 
PabloReports: Tell us about this effort to prevent members from dating staffers. 
Cammack: If you’re looking for love, I suggest you look elsewhere. 
Maybe join—I don’t know—what are the dating apps these days? 
eHarmony? 
Match? 
Grindr? 
Tinder? 
“Listen, if you’re looking for love, I suggest you look elsewhere,” she told Manríquez. 
“Maybe join  I don’t know  what are the dating apps these days? 
eHarmony? 
Match? 
Grindr? 
Tinder? 
Swipe right? 
Swipe left? 
I’m not quite sure, but I think we’d be better off if members were more focused on their work than enhancing their love life.” 
When asked if she’s heard complaints about “sexual misconduct by members against staffers,” the congresswoman responded with a laugh, “I’m trying to think of another way to say eff-yeah without using that word, but yeah, it’s a really big effing problem. 
I think that it’s ridiculous that people don’t recognize the power imbalance that exists here on Capitol Hill, and it’s extraordinarily inappropriate if you are the member and you are trying to put the moves on your own staff.” 
Cammack continued, “Listen, I don’t want the government involved in people’s love lives, but what we have seen is, like I said, a culture of creepiness where you have members that are soliciting staff, they’re approaching staff, they’re putting them in very awkward situations, and that’s just wrong. 
And so, I wouldn’t feel comfortable sending my daughter to work here on Capitol Hill, and until I feel like that is changed, we’re gonna keep going to try to figure out ways to make Capitol Hill a safe place to work.” 
“So, you would tell parents not to send their kids to work up here?” 
Manríquez clarified. 
“Not in this environment, no,” said Cammack decidedly. 
Article reasoning-pattern comparisonThis article: 14.4%Kathryn Wilkens: 4.2%Mediaite: 5.0%Confirmation Bias14.4%This article: 0.0%Kathryn Wilkens: 0.8%Mediaite: 0.9%Anchoring Bias0.0%This article: 26.7%Kathryn Wilkens: 4.7%Mediaite: 3.8%Availability Heuristic26.7%This article: 0.0%Kathryn Wilkens: 0.9%Mediaite: 1.0%Representativeness Heuristic0.0%This article: 0.0%Kathryn Wilkens: 0.2%Mediaite: 0.7%Hindsight Bias0.0%This article: 0.0%Kathryn Wilkens: 3.3%Mediaite: 2.1%Overconfidence Bias0.0%This article: 26.7%Kathryn Wilkens: 8.9%Mediaite: 9.1%Framing Effect26.7%This article: 3.3%Kathryn Wilkens: 0.4%Mediaite: 0.4%Loss Aversion3.3%This article: 19.8%Kathryn Wilkens: 1.0%Mediaite: 0.4%Status Quo Bias19.8%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%Sunk Cost Effect0.0%This article: 0.0%Kathryn Wilkens: 0.3%Mediaite: 1.2%Optimism Bias0.0%This article: 20.1%Kathryn Wilkens: 2.9%Mediaite: 1.6%Pessimism Bias20.1%This article: 60.4%Kathryn Wilkens: 11.8%Mediaite: 14.7%Negativity Bias60.4%This article: 0.0%Kathryn Wilkens: 0.9%Mediaite: 1.6%Self-Serving Bias0.0%This article: 11.7%Kathryn Wilkens: 1.2%Mediaite: 1.7%Fundamental Attribution Error11.7%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.3%Actor-Observer Bias0.0%This article: 0.0%Kathryn Wilkens: 1.6%Mediaite: 2.1%In-Group Bias0.0%This article: 0.0%Kathryn Wilkens: 1.8%Mediaite: 2.0%Out-Group Homogeneity Bias0.0%This article: 0.0%Kathryn Wilkens: 0.1%Mediaite: 1.3%Halo Effect0.0%This article: 0.0%Kathryn Wilkens: 0.4%Mediaite: 0.7%Horn Effect0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%Dunning-Kruger Effect0.0%This article: 2.4%Kathryn Wilkens: 1.8%Mediaite: 2.3%Recency Bias2.4%This article: 0.0%Kathryn Wilkens: 1.4%Mediaite: 0.6%Primacy Effect0.0%This article: 0.0%Kathryn Wilkens: 0.2%Mediaite: 0.1%Blind-Spot Bias0.0%This article: 0.0%Kathryn Wilkens: 0.5%Mediaite: 3.8%Ad Hominem0.0%This article: 0.0%Kathryn Wilkens: 0.1%Mediaite: 1.2%Straw Man0.0%This article: 0.0%Kathryn Wilkens: 5.2%Mediaite: 3.5%Appeal to Authority0.0%This article: 6.6%Kathryn Wilkens: 2.2%Mediaite: 2.4%False Dilemma6.6%This article: 12.6%Kathryn Wilkens: 0.6%Mediaite: 1.3%Slippery Slope12.6%This article: 0.0%Kathryn Wilkens: 0.3%Mediaite: 0.3%Circular Reasoning0.0%This article: 26.7%Kathryn Wilkens: 9.5%Mediaite: 7.6%Hasty Generalization26.7%This article: 3.6%Kathryn Wilkens: 0.6%Mediaite: 0.4%Red Herring3.6%This article: 0.0%Kathryn Wilkens: 0.3%Mediaite: 0.9%Bandwagon0.0%This article: 26.7%Kathryn Wilkens: 5.3%Mediaite: 6.6%Appeal to Emotion26.7%This article: 12.3%Kathryn Wilkens: 1.3%Mediaite: 1.6%Begging the Question12.3%This article: 0.0%Kathryn Wilkens: 2.3%Mediaite: 2.9%Post Hoc (False Cause)0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%Tu Quoque0.0%This article: 0.0%Kathryn Wilkens: 0.9%Mediaite: 1.2%Burden of Proof0.0%This article: 0.0%Kathryn Wilkens: 0.3%Mediaite: 0.1%Appeal to Nature0.0%This article: 0.0%Kathryn Wilkens: 0.3%Mediaite: 0.3%Composition/Division0.0%This article: 0.0%Kathryn Wilkens: 2.0%Mediaite: 3.0%Anecdotal0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%No True Scotsman0.0%This article: 0.0%Kathryn Wilkens: 3.0%Mediaite: 2.8%Ambiguity (Equivocation)0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%Middle Ground0.0%This article: 0.0%Kathryn Wilkens: 0.5%Mediaite: 0.3%Personal Incredulity0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.1%Special Pleading0.0%This article: 0.0%Kathryn Wilkens: 0.0%Mediaite: 0.6%Genetic Fallacy0.0%This article: 12.3%Kathryn Wilkens: 4.2%Mediaite: 3.3%Unattributed Quote12.3%This article: 12.3%Kathryn Wilkens: 4.5%Mediaite: 3.2%Quote-first Misdirection12.3%This article: 24.0%Kathryn Wilkens: 3.5%Mediaite: 8.3%Biased Writer Voice24.0%This article: 29.7%Kathryn Wilkens: 1.6%Mediaite: 1.6%Indoctrination29.7%This article: 0.0%Kathryn Wilkens: 0.9%Mediaite: 2.0%Politically Left Leaning Bias0.0%This article: 0.0%Kathryn Wilkens: 0.2%Mediaite: 1.1%Politically Right Leaning Bias0.0%This article: 0.0%Kathryn Wilkens: 0.6%Mediaite: 1.4%Attempt to Sell a Product or S…0.0%

333 words analyzed.

Speakers

2speakers87%attributed speech43writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 16 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageKat Cammack • 25 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageKat Cammack • 11 words • 100.0% coverageKat Cammack • 10 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 14 words • 100.0% coverageKat Cammack • 14 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 1 words • 0.0% coverageKat Cammack • 2 words • 0.0% coverageKat Cammack • 2 words • 0.0% coverageKat Cammack • 24 words • 100.0% coverageKat Cammack • 41 words • 100.0% coverageKat Cammack • 39 words • 100.0% coverageKat Cammack • 48 words • 0.0% coverageKat Cammack • 42 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageManríquez • 2 words • 0.0% coverageKat Cammack • 8 words • 100.0% coverage
Selected voice

Kat Cammack

88%flagged-word coverage
288 attributed words99% of attributed speech98% writer coverage
0%20.0%40.0%Biased Writer Voice-15.0 ptsWriter: 37.2%Kat Cammack: 22.2%22.2%Indoctrination+34.4 ptsWriter: 0.0%Kat Cammack: 34.4%34.4%Unattributed Quote+14.2 ptsWriter: 0.0%Kat Cammack: 14.2%14.2%Quote-first Misdirection+14.2 ptsWriter: 0.0%Kat Cammack: 14.2%14.2%

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.