ABC News⁠98%

Texas officer races to save man from burning car ⁠75%

7/19/2026, 12:25:57 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 17 faulty reasoning types, including Halo Effect, Appeal to Authority, and Framing Effect, with Appeal to Emotion as the most egregious example at 41.5% saturation with 102 hits. Analysis detected 535 faulty-reasoning hits from 246 analyzed words, generating a BS Score of 67.6% and a BS Rank of ⁠75% (4,564 of 17,815 videos). This video is worse (more manipulative) than 74.40% of the video peer group.

Now to that dramatic rescue on a Texas highway. 
The police officer hailed as a hero after racing in to save a man trapped in a burning vehicle. 
The new details coming in tonight. 
Here's ABC's Jaclyn Lee. 
>> Tonight, heartstoppping moments on a Texas highway. 
>> GET OUT OF THE CAR NOW. GET OUT. GET OUT. GET 
OUT. GET OUT. 
>> SOUTH LAKE POLICE Corporal Joshua Swisser conducting a traffic stop about 30 minutes outside Dallas when dispatch alerted him to a nearby vehicle with heavy smoke. 
In this dash cam footage, you can see flames erupting underneath the car and quickly spreading. 
Without hesitation, Corpal Swisser sprinting to the car, a man trapped inside. 
The door handle breaking off as the officer tries to open the door. 
>> Come out of the car. Open it. Open it. 
OPEN IT. GET OUT. GET OUT. COME OUT THROUGH THE WINDOW. 
>> The officer then breaking the glass window, pulling the man out. 
>> Give me your hand. Give me your hand. 
Give me your hand now. I got you. Give me. 
>> All right. You okay? Anybody else in the car? 
Is there anyone else in the car? 
>> Swisser was given the South Lake Police Department's meritorious conduct award for his actions. 
>> With that award is the department's second highest honor. 
The driver involved is okay tonight. 
>> credible video. 
Jack and Lee, thanks so 
Confirmation Bias
6.1%
Anchoring Bias
0%
Availability Heuristic
6.5%
Representativeness Heuristic
14.2%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
17.5%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
6.5%
Pessimism Bias
0%
Negativity Bias
12.2%
Self-Serving Bias
0%
Fundamental Attribution Error
12.6%
Actor-Observer Bias
11%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
27.6%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
4.9%
Primacy Effect
5.3%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
20.7%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
41.5%
Begging the Question
1.2%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
13%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
6.5%
No True Scotsman
0%
Ambiguity (Equivocation)
10.2%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

246 words analyzed.

Analysis

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