BS Summary: This article contains 26 faulty reasoning types, including Negativity Bias, Pessimism Bias, and Appeal to Emotion, with Biased Writer Voice as the most egregious example at 40.8% saturation with 144 hits. Analysis detected 863 faulty-reasoning hits from 353 analyzed words, generating a BS Score of 76.2% and a BS Rank of 85% (3,372 of 21,172 articles). This article is worse (more manipulative) than 84.10% of the article peer group.

You know that feeling you get when you’re watching a movie and the scene is set in a location that should be crowded, yet feels strangely empty? 
It’s occurring more often, and it’s partly a result of higher production costs and tighter budgets. 
But don’t worry, Netflix has a solution to stop that fleeting, inconsequential feeling: AI ! 
A whopping 300 AI-“enhanced” titles, to be exact. 
Co-CEO Ted Sarandos dropped his undeniable embrace of AI in a letter to shareholders before last week’s earnings call . 
One example: Netflix’s new docuseries, “The American Experiment,” includes 17 minutes of AI-modified footage, including crowds and battle scenes. 
“It enabled us to expand the scope in ways that wouldn’t have been feasible before,” Sarandos said. 
“Those 17 minutes were produced twice as fast, at half the cost.” 
Never mind that countless PBS documentaries have had no trouble realistically depicting revolutionary-era America without AI; Netflix is innovating. 
If Letterboxd sells out to Netflix, the people lose 
“Productions would’ve left out those key shots because they wouldn’t have been able to afford them; they wouldn’t have been able to do them in the time frames they’re working on,” Sarandos continued. 
That’s what happens when the content model is to pump out as much as possible, as fast as possible. 
Netflix can afford longer production timelines; they just don’t want to pay up. 
I’d rather see an empty-feeling shot than something filled out by AI  at least the material’s quality could speak for itself. 
In an AI-adjusted version, everything is digitized to uncanny perfection. 
Is that really what viewers want, to not be able to discern reality, even with all its limitations? 
Asking is useless. 
Netflix doesn’t care about their viewer. 
They don’t care about the integrity of their product, or the art of television and filmmaking. 
What they care about is money and manipulation. 
The death of the summer rerun 
There’s more film and television for you to watch than ever before  good luck finding it 
As the Netflix red envelope era ends, here’s what’s really lost to us 
Confirmation Bias
5.1%
Anchoring Bias
2.3%
Availability Heuristic
7.6%
Representativeness Heuristic
5.4%
Hindsight Bias
0%
Overconfidence Bias
7.4%
Framing Effect
0%
Loss Aversion
7.9%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
21.8%
Negativity Bias
23.5%
Self-Serving Bias
8.5%
Fundamental Attribution Error
7.1%
Actor-Observer Bias
4.5%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
1.7%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
4.8%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
10.5%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
19.8%
Begging the Question
0.8%
Post Hoc (False Cause)
4.5%
Tu Quoque
0%
Burden of Proof
8.5%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
13%
No True Scotsman
5.4%
Ambiguity (Equivocation)
10.8%
Gambler’s Fallacy
0%
Middle Ground
5.1%
Personal Incredulity
0%
Special Pleading
3.7%
Genetic Fallacy
0%
Unattributed Quote
5.7%
Quote-first Misdirection
0%
Biased Writer Voice
40.8%
Indoctrination
8.2%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

353 words analyzed.

Analysis

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