NTD100%

L.A. County Sees Biggest US Population Drop98%

3/31/2026, 3:11:10 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 26 faulty reasoning types, including Availability Heuristic, Ambiguity (Equivocation), and Anecdotal, with Framing Effect as the most egregious example at 54% saturation with 128 hits. Analysis detected 955 faulty-reasoning hits from 231 analyzed words, generating a BS Score of 97.8% and a BS Rank of 98% (367 of 16,813 videos). This video is worse (more manipulative) than 97.80% of the video peer group.

L.A. County Sees Biggest US Population Drop 
New census data shows Los Angeles County had the largest population decline in the nation last year. 
Nearly 54,000 residents moved out, continuing a multi-year downward trend. 
Christina Corona has the details. Los Angeles County saw the largest population decline in the US in 2025. 
According to new US Censa data released March 26th with thousands of people leaving in just one year, nearly 54,000 people moved out of Los Angeles County between July 2024 and July 2025. 
This continues a trend that's been building for years. 
The population has dropped from more than 10 million in 2020 to just under 9.7 million. 
Census estimates show. It's unclear where many of those residents are going. 
One LA County resident who asked to not be on camera said she believes that many people are leaving because they can no longer afford to rent or buy. 
She said home ownership now feels out of reach. 
But nearby Riverside and San Frernardino counties gained more than 21,000 people combined. 
The Las Vegas area also added more than 21,000 residents last year. 
Despite the decline, LA County remains the most populous in the nation, nearly double the size of the next largest, Cook County, Illinois, with about 5.2 million residents. 
The data shows the decline is continuing as thousands choose to leave each year. 
Reporting from the city of Almani, Christina Corona, NTD News. 
Confirmation Bias
23.2%
Anchoring Bias
10.1%
Availability Heuristic
33.3%
Representativeness Heuristic
5.5%
Hindsight Bias
3.8%
Overconfidence Bias
12.7%
Framing Effect
54%
Loss Aversion
0%
Status Quo Bias
11.8%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
13.1%
Negativity Bias
22.8%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
4.2%
Primacy Effect
4.2%
Blind-Spot Bias
5.1%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
25.7%
False Dilemma
0%
Slippery Slope
8%
Circular Reasoning
0%
Hasty Generalization
28.3%
Red Herring
10.5%
Bandwagon
3%
Appeal to Emotion
6.8%
Begging the Question
3.8%
Post Hoc (False Cause)
10.1%
Tu Quoque
0%
Burden of Proof
17.3%
Appeal to Nature
0%
Composition/Division
11.8%
Anecdotal
30%
No True Scotsman
0%
Ambiguity (Equivocation)
32.1%
Gambler’s Fallacy
0%
Middle Ground
11.8%
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%

237 words analyzed.

Analysis

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