How the AP uncovered US big tech's role in China's digital police state 85%

5/5/2026, 5:49:07 PM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 17 faulty reasoning types, including Confirmation Bias, Appeal to Emotion, and Negativity Bias, with Biased Writer Voice as the most egregious example at 78.7% saturation with 163 hits. Analysis detected 1,029 faulty-reasoning hits from 207 analyzed words, generating a BS Score of 77.4% and a BS Rank of 85% (2,662 of 16,813 videos). This video is worse (more manipulative) than 84.20% of the video peer group.

This is Young Lee. 
She's trying to make her way to the Chinese capital. 
The men she's filming are [music] with the police. 
The Yang family has tried to make this journey to Beijing 20 times now, but every time the police anticipate their next steps and [music] physically stop them. 
No other country keeps tabs on its citizens like China. 
More security cameras are installed here than in the rest of the world combined. 
The government is able to spy on [music] its people and repress its population by predicting who should be labeled as suspicious. 
And they had help from companies in a country that has long claimed to support [music] freedoms worldwide. 
This is basically a story about how US tech companies constructed China's surveillance apparatus from the ground. 
There's been previous reporting out there about how US companies have provided various products, equipment, gear, software to the Chinese police. 
[music] But what makes this story different is that it actually reveals that they designed it from the very beginning top down [music] and essentially handed the Chinese government a blueprint for how they can control their population using new technology. 
Confirmation Bias
77.3%
Anchoring Bias
0%
Availability Heuristic
20.3%
Representativeness Heuristic
4.8%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
44.9%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
51.2%
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
8.7%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
16.4%
False Dilemma
0%
Slippery Slope
30.4%
Circular Reasoning
0%
Hasty Generalization
39.6%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
57%
Begging the Question
0%
Post Hoc (False Cause)
8.2%
Tu Quoque
8.7%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
13.5%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
8.7%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
78.7%
Indoctrination
19.8%
Politically Left Leaning Bias
8.7%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

207 words analyzed.

Analysis

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