California 7-year-old left with half a skull after crash involving undocumented truck driver shares touching moment with Trump's top brass 78%

By Justin Choi89%

6/12/2026, 12:31:22 AM

BS Summary: This article contains 21 faulty reasoning types, including Framing Effect, Unattributed Quote, and Appeal to Authority, with Negativity Bias as the most egregious example at 61.2% saturation with 227 hits. Analysis detected 1,359 faulty-reasoning hits from 371 analyzed words, generating a BS Score of 69.1% and a BS Rank of 78% (4,849 of 21,198 articles). This article is worse (more manipulative) than 77.10% of the article peer group.

Nearly two years after an illegal immigrant almost took her life, California seven-year-old Dalilah Coleman and her parents met with US Secretary of Homeland Security Markwayne Mullin at the Department of Homeland Security (DHS) headquarters as they got an update on a push to pass a law named in her honor. 
Mullin spoke to her father, Marcus, about the significance of Dalilah’s Law, which would prohibit any state from granting a Commercial Driver’s License to an undocumented person. 
On June 20, 2024, Partap Singh  an undocumented man from India, who had been given a commercial driver’s license by the state despite his immigration status  was speeding through a construction zone and failed to stop his truck for traffic, leading to the horrifying crash, according to DHS. 
Dalilah, who was 5 years old at the time of the crash, spent three weeks in a coma and required six months of hospital treatment, which included a craniectomy, before her family could bring her home, DHS said, citing Coleman. 
Following the incident, she has “been diagnosed with diplegic cerebral palsy, global developmental delay, and will need life-long therapy,” DHS further wrote. 
The Trump Administration has also advocated for the passing of the Dalilah Law. 
During the State of the Union Speech earlier this year, President Donald Trump also urged Congress to act. 
During the meeting, Coleman’s father said, “We’re going to go around to all the governors and ask them to sign the Dalilah Standard, and pledge their state to the Dalilah Standard, which will stop illegal immigrants from truck driving and will put harsher laws on trucking.” 
Singh was arrested on August 29, 2025 and has remained in federal custody. 
Back when Dalilah’s initial accident had occurred, Marcus reached out to Governor Gavin Newsom’s office, but was ignored and “received nothing back at all,” he revealed back in January on Fox News. 
“Dalilah is just one of countless victims of illegal alien truck drivers. 
President Trump is calling on Congress to pass Dalilah’s Law, to make it impossible for illegal aliens to obtain commercial driver’s licenses,” Mullin commented following the meeting. 
Article reasoning-pattern comparisonThis article: 12.4%Justin Choi: 2.4%California Post: 4.1%Confirmation Bias12.4%This article: 0.0%Justin Choi: 0.0%California Post: 1.4%Anchoring Bias0.0%This article: 18.9%Justin Choi: 6.2%California Post: 4.2%Availability Heuristic18.9%This article: 0.0%Justin Choi: 0.0%California Post: 1.1%Representativeness Heuristic0.0%This article: 3.2%Justin Choi: 0.6%California Post: 0.7%Hindsight Bias3.2%This article: 0.0%Justin Choi: 3.8%California Post: 2.2%Overconfidence Bias0.0%This article: 46.1%Justin Choi: 28.8%California Post: 10.4%Framing Effect46.1%This article: 0.0%Justin Choi: 0.7%California Post: 0.9%Loss Aversion0.0%This article: 0.0%Justin Choi: 0.4%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Sunk Cost Effect0.0%This article: 0.0%Justin Choi: 0.0%California Post: 2.5%Optimism Bias0.0%This article: 0.0%Justin Choi: 0.6%California Post: 1.5%Pessimism Bias0.0%This article: 61.2%Justin Choi: 23.7%California Post: 16.1%Negativity Bias61.2%This article: 0.0%Justin Choi: 0.0%California Post: 2.4%Self-Serving Bias0.0%This article: 13.5%Justin Choi: 5.2%California Post: 1.5%Fundamental Attribution Error13.5%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Actor-Observer Bias0.0%This article: 0.0%Justin Choi: 0.7%California Post: 1.6%In-Group Bias0.0%This article: 3.2%Justin Choi: 5.0%California Post: 1.1%Out-Group Homogeneity Bias3.2%This article: 0.0%Justin Choi: 0.0%California Post: 3.1%Halo Effect0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.6%Horn Effect0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 8.4%Justin Choi: 1.6%California Post: 1.6%Recency Bias8.4%This article: 8.6%Justin Choi: 1.7%California Post: 0.5%Primacy Effect8.6%This article: 0.0%Justin Choi: 0.0%California Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Justin Choi: 0.0%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.5%Straw Man0.0%This article: 22.9%Justin Choi: 5.8%California Post: 4.2%Appeal to Authority22.9%This article: 19.7%Justin Choi: 3.8%California Post: 1.5%False Dilemma19.7%This article: 0.0%Justin Choi: 0.0%California Post: 0.9%Slippery Slope0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 15.6%Justin Choi: 12.1%California Post: 5.5%Hasty Generalization15.6%This article: 0.0%Justin Choi: 0.0%California Post: 0.7%Red Herring0.0%This article: 7.3%Justin Choi: 1.4%California Post: 1.4%Bandwagon7.3%This article: 8.6%Justin Choi: 9.4%California Post: 8.9%Appeal to Emotion8.6%This article: 0.0%Justin Choi: 0.0%California Post: 1.1%Begging the Question0.0%This article: 13.5%Justin Choi: 6.7%California Post: 2.7%Post Hoc (False Cause)13.5%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Tu Quoque0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.8%Burden of Proof0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Composition/Division0.0%This article: 22.4%Justin Choi: 6.6%California Post: 3.6%Anecdotal22.4%This article: 0.0%Justin Choi: 0.0%California Post: 0.0%No True Scotsman0.0%This article: 0.0%Justin Choi: 0.0%California Post: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.1%Middle Ground0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.2%Special Pleading0.0%This article: 0.0%Justin Choi: 0.0%California Post: 0.4%Genetic Fallacy0.0%This article: 37.5%Justin Choi: 10.1%California Post: 3.2%Unattributed Quote37.5%This article: 8.6%Justin Choi: 1.7%California Post: 2.1%Quote-first Misdirection8.6%This article: 18.9%Justin Choi: 7.7%California Post: 13.1%Biased Writer Voice18.9%This article: 12.4%Justin Choi: 3.2%California Post: 1.4%Indoctrination12.4%This article: 0.0%Justin Choi: 0.0%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 3.5%Justin Choi: 15.7%California Post: 3.1%Politically Right Leaning Bias3.5%This article: 0.0%Justin Choi: 0.0%California Post: 6.0%Attempt to Sell a Product or S…0.0%

371 words analyzed.

Speakers

5speakers77%attributed speech84writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 20 words • 100.0% coverageWriter's voice • 51 words • 0.0% coverageMarkwayne Mullin • 27 words • 0.0% coverageDepartment of Homeland Security (DHS) • 50 words • 100.0% coverageDepartment of Homeland Security (DHS) • 40 words • 0.0% coverageDepartment of Homeland Security (DHS) • 22 words • 100.0% coverageTrump Administration • 13 words • 100.0% coverageDonald Trump • 18 words • 0.0% coverageMarcus • 46 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageMarcus • 32 words • 100.0% coverageMarcus • 12 words • 100.0% coverageMarkwayne Mullin • 27 words • 100.0% coverage
Selected voice

Marcus

100%flagged-word coverage
90 attributed words31% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Marcus: 100.0%100.0%Indoctrination+51.1 ptsWriter: 0.0%Marcus: 51.1%51.1%Biased Writer Voice-23.8 ptsWriter: 23.8%Marcus: 0.0%0.0%Quote-first Misdirection-10.5 ptsWriter: 23.8%Marcus: 13.3%13.3%

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.