Free-speech advocates blast LA council after ban on these controversial words 36%

By Daniel Farr69%

7/24/2026, 12:57:53 AM

BS Summary: This article contains 18 faulty reasoning types, including Confirmation Bias, Negativity Bias, and Burden of Proof, with Framing Effect as the most egregious example at 23.9% saturation with 107 hits. Analysis detected 672 faulty-reasoning hits from 448 analyzed words, generating a BS Score of 42.8% and a BS Rank of 36% (14,183 of 21,886 articles). This article is better (less manipulative) than 64.80% of the article peer group.

The Los Angeles City Council is barreling toward a First Amendment showdown after trying to police what Americans can  and can’t  say during public meetings. 
The city is facing the threat of a lawsuit from two of the nation’s leading free speech groups over a controversial rule that bars members of the public from using two offensive slurs while addressing the City Council. 
The organizations argue the city has crossed a constitutional line by banning specific words outright, setting up a high-stakes legal fight over whether elected officials can decide which speech is off-limits in a public forum. 
The Foundation for Individual Rights and Expression (FIRE) and the First Amendment Coalition have given city leaders 30 days to repeal Council Rule 7 and make an “unconditional commitment” to stop enforcing it. 
Anyone who violates the rule can be thrown out of the remainder of the meeting and barred from attending any other council meetings held later that day. 
Supporters pointed to the Supreme Court’s 1942 decision in Chaplinsky v. 
New Hampshire, which carved out the narrow “fighting words” exception to First Amendment protections. 
But FIRE and the First Amendment Coalition argue Los Angeles has gone far beyond that limited exception by punishing people simply for saying forbidden words, even when they’re criticizing the city’s own censorship policy. 
Their legal challenge centers on Segarra-Bohlinger, a regular speaker during public-comment periods. 
According to a letter sent to Harris-Dawson and City Attorney Hydee Feldstein Soto, Segarra-Bohlinger criticized the council’s speech restrictions during an Oct. 31, 2025, meeting by saying the council was “afraid of the word ‘c–t.' 
” 
On Dec. 3, 2025, that warning became reality. 
Segarra-Bohlinger again used the word while criticizing the policy, was ejected from the meeting and barred from attending any additional council meetings scheduled that day. 
In their letter, FIRE staff attorney Zachary Silver and First Amendment Coalition legal director David Loy argue the rule violates both the First Amendment and California’s Brown Act because it discriminates based on viewpoint, imposes unreasonable restrictions on public comment and allows officials to remove speakers whose remarks don’t actually disrupt meetings. 
“This is as much a step as we can take at this moment, we believe. 
But we think it will open us up to take additional steps in the future,” he said. 
In another instance, he added, “We’re going to try to get in all the terms. 
” 
According to FIRE, Harris-Dawson has also publicly stated he is “eager to get in front of a judge. 
” 
The 15-member LA City Council consists of 10 Democrats, 4 democratic socialists, and 1 Independent, with 0 Republicans. 
Article reasoning-pattern comparisonThis article: 23.2%Daniel Farr: 3.8%California Post: 4.1%Confirmation Bias23.2%This article: 2.5%Daniel Farr: 1.3%California Post: 1.4%Anchoring Bias2.5%This article: 8.5%Daniel Farr: 4.7%California Post: 4.2%Availability Heuristic8.5%This article: 4.0%Daniel Farr: 1.1%California Post: 1.1%Representativeness Heuristic4.0%This article: 1.8%Daniel Farr: 0.6%California Post: 0.8%Hindsight Bias1.8%This article: 0.0%Daniel Farr: 0.5%California Post: 2.2%Overconfidence Bias0.0%This article: 23.9%Daniel Farr: 12.8%California Post: 10.3%Framing Effect23.9%This article: 6.0%Daniel Farr: 1.2%California Post: 0.9%Loss Aversion6.0%This article: 0.0%Daniel Farr: 0.9%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Sunk Cost Effect0.0%This article: 7.1%Daniel Farr: 1.4%California Post: 2.5%Optimism Bias7.1%This article: 0.0%Daniel Farr: 1.4%California Post: 1.5%Pessimism Bias0.0%This article: 18.8%Daniel Farr: 17.4%California Post: 16.0%Negativity Bias18.8%This article: 0.0%Daniel Farr: 0.9%California Post: 2.4%Self-Serving Bias0.0%This article: 0.0%Daniel Farr: 1.4%California Post: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Daniel Farr: 0.2%California Post: 0.2%Actor-Observer Bias0.0%This article: 0.0%Daniel Farr: 0.9%California Post: 1.6%In-Group Bias0.0%This article: 0.0%Daniel Farr: 0.9%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 4.0%Daniel Farr: 2.2%California Post: 3.1%Halo Effect4.0%This article: 0.0%Daniel Farr: 0.5%California Post: 0.6%Horn Effect0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 5.6%Daniel Farr: 1.8%California Post: 1.6%Recency Bias5.6%This article: 0.0%Daniel Farr: 0.4%California Post: 0.5%Primacy Effect0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Daniel Farr: 2.2%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Daniel Farr: 0.2%California Post: 0.5%Straw Man0.0%This article: 3.1%Daniel Farr: 3.0%California Post: 4.2%Appeal to Authority3.1%This article: 0.0%Daniel Farr: 1.5%California Post: 1.5%False Dilemma0.0%This article: 0.0%Daniel Farr: 0.7%California Post: 0.9%Slippery Slope0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 0.0%Daniel Farr: 3.9%California Post: 5.5%Hasty Generalization0.0%This article: 0.0%Daniel Farr: 0.6%California Post: 0.7%Red Herring0.0%This article: 0.0%Daniel Farr: 0.5%California Post: 1.4%Bandwagon0.0%This article: 0.0%Daniel Farr: 8.2%California Post: 8.9%Appeal to Emotion0.0%This article: 7.8%Daniel Farr: 0.6%California Post: 1.1%Begging the Question7.8%This article: 1.8%Daniel Farr: 2.2%California Post: 2.7%Post Hoc (False Cause)1.8%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Tu Quoque0.0%This article: 11.6%Daniel Farr: 0.8%California Post: 0.8%Burden of Proof11.6%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Composition/Division0.0%This article: 0.0%Daniel Farr: 1.9%California Post: 3.6%Anecdotal0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.0%No True Scotsman0.0%This article: 0.0%Daniel Farr: 1.6%California Post: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.1%Middle Ground0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Special Pleading0.0%This article: 0.0%Daniel Farr: 0.3%California Post: 0.4%Genetic Fallacy0.0%This article: 7.8%Daniel Farr: 2.6%California Post: 3.2%Unattributed Quote7.8%This article: 0.0%Daniel Farr: 1.8%California Post: 2.1%Quote-first Misdirection0.0%This article: 8.5%Daniel Farr: 12.2%California Post: 13.1%Biased Writer Voice8.5%This article: 0.0%Daniel Farr: 1.6%California Post: 1.4%Indoctrination0.0%This article: 4.0%Daniel Farr: 0.4%California Post: 0.4%Politically Left Leaning Bias4.0%This article: 0.0%Daniel Farr: 3.8%California Post: 3.0%Politically Right Leaning Bias0.0%This article: 0.0%Daniel Farr: 0.7%California Post: 6.0%Attempt to Sell a Product or S…0.0%

448 words analyzed.

Speakers

2speakers31%attributed speech311writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageFirst Amendment Coalition • 33 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageFIRE • 34 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageFIRE • 52 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageFIRE • 18 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverage
Selected voice

FIRE

100%flagged-word coverage
104 attributed words76% of attributed speech90% writer coverage
0%7.5%15.0%Biased Writer Voice-12.2 ptsWriter: 12.2%FIRE: 0.0%0.0%Unattributed Quote-11.3 ptsWriter: 11.3%FIRE: 0.0%0.0%Politically Left Leaning B-5.8 ptsWriter: 5.8%FIRE: 0.0%0.0%

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

Loading…
Loading…
Loading…

Analysis

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