Dozens arrested after authorities fire tear gas at 'No Kings' protesters 78%

By Connor Sheets0% Alene Tchekmedyian82%

3/29/2026, 3:00:00 AM

BS Summary: This article contains 19 faulty reasoning types, including Unattributed Quote, Anecdotal, and Availability Heuristic, with Framing Effect as the most egregious example at 21.8% saturation with 84 hits. Analysis detected 690 faulty-reasoning hits from 385 analyzed words, generating a BS Score of 69% and a BS Rank of 78% (4,990 of 21,887 articles). This article is worse (more manipulative) than 77.20% of the article peer group.

More than 70 protesters were arrested Saturday evening after authorities shot tear gas and pepper balls into the crowd, leaving at least one teen with an eye wound and others with skin burns, according to demonstrators and police. 
The confrontation outside the federal Metropolitan Detention Center came after hours of peaceful "No Kings" demonstrations in downtown Los Angeles and across the county. 
Authorities said the crowd that gathered at the federal building later in the afternoon, as the rally was winding down, had ignored orders to disperse. 
Officers forcibly removed a Los Angeles Times reporter and other journalists from the area, saying they were about to conduct “mass arrests.” 
The demonstrators who remained were lined up outside the building as officers zip-tied their hands behind their backs and loaded them into vans. 
One was dressed as Lady Liberty with a chain around her waist as part of her costume. 
Later in the evening, police officers, some on horseback, moved in on a smaller group of demonstrators around the corner from the federal detention facility. 
Arrests had slowed by 9 p.m. 
First Assistant U.S. 
Atty. 
Bill Essayli posted on X that federal agents have video footage of people assaulting officers. 
"To those who were smashing concrete blocks and throwing them at our officers, we have you on video. 
We will find you and arrest you too. 
You’ve been warned," he wrote. 
Earlier, a woman who declined to give her name but identified herself as a medic said she treated the teenager who was struck in the eye with a pepper ball before he was taken to the hospital, as well as others. 
“They brutalized us,” she said, adding that she did not hear a warning. 
“We were just protesting, there was no aggression. 
They just started firing into the crowd.” 
After the LAPD issued a tactical alert about 5 p.m., officers  some with gas masks and almost all wearing face shields  swarmed the area, where the air was cloudy with gas. 
Organizers said that millions of people turned up for 'No Kings' rallies in all 50 states, voicing anger over the country’s direction, including fatal ICE shootings and troops dispatched to the Middle East. 
Times staff writer Richard Winton contributed to this report. 
Article reasoning-pattern comparisonThis article: 6.2%Connor Sheets: 3.0%Daily Pilot: 2.9%Confirmation Bias6.2%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 1.2%Anchoring Bias0.0%This article: 19.2%Connor Sheets: 1.7%Daily Pilot: 3.5%Availability Heuristic19.2%This article: 6.5%Connor Sheets: 1.2%Daily Pilot: 1.0%Representativeness Heuristic6.5%This article: 0.0%Connor Sheets: 4.9%Daily Pilot: 0.9%Hindsight Bias0.0%This article: 0.0%Connor Sheets: 0.7%Daily Pilot: 1.9%Overconfidence Bias0.0%This article: 21.8%Connor Sheets: 3.9%Daily Pilot: 7.5%Framing Effect21.8%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.9%Loss Aversion0.0%This article: 0.0%Connor Sheets: 0.6%Daily Pilot: 0.9%Status Quo Bias0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.2%Sunk Cost Effect0.0%This article: 1.6%Connor Sheets: 0.3%Daily Pilot: 3.6%Optimism Bias1.6%This article: 1.8%Connor Sheets: 0.7%Daily Pilot: 1.4%Pessimism Bias1.8%This article: 19.2%Connor Sheets: 8.9%Daily Pilot: 7.8%Negativity Bias19.2%This article: 2.1%Connor Sheets: 0.4%Daily Pilot: 2.2%Self-Serving Bias2.1%This article: 0.0%Connor Sheets: 1.2%Daily Pilot: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Connor Sheets: 0.8%Daily Pilot: 0.2%Actor-Observer Bias0.0%This article: 0.0%Connor Sheets: 1.0%Daily Pilot: 1.6%In-Group Bias0.0%This article: 0.0%Connor Sheets: 0.1%Daily Pilot: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%Connor Sheets: 7.9%Daily Pilot: 5.1%Halo Effect0.0%This article: 0.0%Connor Sheets: 0.5%Daily Pilot: 0.2%Horn Effect0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Connor Sheets: 0.9%Daily Pilot: 1.3%Recency Bias0.0%This article: 0.0%Connor Sheets: 0.4%Daily Pilot: 0.4%Primacy Effect0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.1%Blind-Spot Bias0.0%This article: 0.0%Connor Sheets: 4.6%Daily Pilot: 0.9%Ad Hominem0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.3%Straw Man0.0%This article: 3.9%Connor Sheets: 2.1%Daily Pilot: 4.9%Appeal to Authority3.9%This article: 0.0%Connor Sheets: 0.8%Daily Pilot: 1.2%False Dilemma0.0%This article: 0.0%Connor Sheets: 0.8%Daily Pilot: 0.7%Slippery Slope0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.1%Circular Reasoning0.0%This article: 8.6%Connor Sheets: 2.2%Daily Pilot: 4.4%Hasty Generalization8.6%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.3%Red Herring0.0%This article: 8.6%Connor Sheets: 1.2%Daily Pilot: 1.0%Bandwagon8.6%This article: 8.6%Connor Sheets: 4.8%Daily Pilot: 5.7%Appeal to Emotion8.6%This article: 2.1%Connor Sheets: 0.1%Daily Pilot: 0.7%Begging the Question2.1%This article: 16.6%Connor Sheets: 2.1%Daily Pilot: 2.6%Post Hoc (False Cause)16.6%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.1%Tu Quoque0.0%This article: 2.1%Connor Sheets: 0.2%Daily Pilot: 0.4%Burden of Proof2.1%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.2%Appeal to Nature0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.3%Composition/Division0.0%This article: 20.5%Connor Sheets: 3.2%Daily Pilot: 2.8%Anecdotal20.5%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.1%No True Scotsman0.0%This article: 4.4%Connor Sheets: 0.6%Daily Pilot: 1.6%Ambiguity (Equivocation)4.4%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.1%Middle Ground0.0%This article: 0.0%Connor Sheets: 1.5%Daily Pilot: 0.1%Personal Incredulity0.0%This article: 0.0%Connor Sheets: 0.1%Daily Pilot: 0.2%Special Pleading0.0%This article: 0.0%Connor Sheets: 0.2%Daily Pilot: 0.3%Genetic Fallacy0.0%This article: 20.8%Connor Sheets: 3.0%Daily Pilot: 1.3%Unattributed Quote20.8%This article: 4.7%Connor Sheets: 3.5%Daily Pilot: 0.8%Quote-first Misdirection4.7%This article: 0.0%Connor Sheets: 1.6%Daily Pilot: 6.0%Biased Writer Voice0.0%This article: 0.0%Connor Sheets: 0.5%Daily Pilot: 1.5%Indoctrination0.0%This article: 0.0%Connor Sheets: 4.8%Daily Pilot: 0.9%Politically Left Leaning Bias0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Connor Sheets: 0.0%Daily Pilot: 4.0%Attempt to Sell a Product or S…0.0%

385 words analyzed.

Speakers

1speaker12%attributed speech339writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageBill Essayli • 15 words • 0.0% coverageBill Essayli • 18 words • 100.0% coverageBill Essayli • 8 words • 0.0% coverageBill Essayli • 5 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverage
Selected voice

Bill Essayli

89%flagged-word coverage
46 attributed words100% of attributed speech92% writer coverage
0%20.0%40.0%Quote-first Misdirection+39.1 ptsWriter: 0.0%Bill Essayli: 39.1%39.1%Unattributed Quote-23.6 ptsWriter: 23.6%Bill Essayli: 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.