Netflix paid $587M for Ben Affleck’s AI filmmaking startup 61%

By Anthony Ha57%

7/19/2026, 9:45:00 PM

BS Summary: This article contains 12 faulty reasoning types, including Halo Effect, Anecdotal, and Anchoring Bias, with Optimism Bias as the most egregious example at 21% saturation with 33 hits. Analysis detected 261 faulty-reasoning hits from 157 analyzed words, generating a BS Score of 56.5% and a BS Rank of 61% (8,670 of 21,887 articles). This article is worse (more manipulative) than 60.40% of the article peer group.

In a new regulatory filing, Netflix revealed that it paid $587 million in cash for InterPositive, a startup co-founded by actor and director Ben Affleck. 
The streaming company announced the acquisition in March, with a statement from Affleck saying he wanted to “protect the power of human creativity.” 
According to Affleck, InterPublic’s AI tools help filmmakers improve their footage in post-production, particularly when it comes to making up for “real-world production challenges such as missing shots, background replacements or incorrect lighting.” 
At the time, Netflix announced that the entire InterPositive team would be joining the company, with Affleck joining as a senior advisor, but it didn’t disclose the financial terms of the deal. 
A subsequent report in Bloomberg suggested that the deal could be worth up to $600 million. 
In its most recent earnings report, Netflix said that around 300 of its titles have already used generative AI. 
Article reasoning-pattern comparisonThis article: 0.0%Anthony Ha: 4.3%TechCrunch: 3.0%Confirmation Bias0.0%This article: 17.8%Anthony Ha: 1.2%TechCrunch: 1.4%Anchoring Bias17.8%This article: 10.2%Anthony Ha: 4.5%TechCrunch: 3.5%Availability Heuristic10.2%This article: 0.0%Anthony Ha: 1.1%TechCrunch: 1.1%Representativeness Heuristic0.0%This article: 0.0%Anthony Ha: 1.2%TechCrunch: 0.6%Hindsight Bias0.0%This article: 0.0%Anthony Ha: 2.4%TechCrunch: 2.5%Overconfidence Bias0.0%This article: 5.7%Anthony Ha: 4.6%TechCrunch: 4.8%Framing Effect5.7%This article: 0.0%Anthony Ha: 1.3%TechCrunch: 0.6%Loss Aversion0.0%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 0.6%Status Quo Bias0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 21.0%Anthony Ha: 3.1%TechCrunch: 4.9%Optimism Bias21.0%This article: 0.0%Anthony Ha: 2.0%TechCrunch: 1.3%Pessimism Bias0.0%This article: 0.0%Anthony Ha: 7.1%TechCrunch: 5.0%Negativity Bias0.0%This article: 0.0%Anthony Ha: 2.4%TechCrunch: 2.1%Self-Serving Bias0.0%This article: 0.0%Anthony Ha: 0.7%TechCrunch: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Anthony Ha: 0.7%TechCrunch: 0.6%In-Group Bias0.0%This article: 0.0%Anthony Ha: 0.7%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 21.0%Anthony Ha: 1.3%TechCrunch: 3.5%Halo Effect21.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Horn Effect0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Dunning-Kruger Effect0.0%This article: 12.1%Anthony Ha: 2.2%TechCrunch: 2.3%Recency Bias12.1%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.3%Primacy Effect0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.1%Blind-Spot Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Ad Hominem0.0%This article: 0.0%Anthony Ha: 4.3%TechCrunch: 0.6%Straw Man0.0%This article: 0.0%Anthony Ha: 3.3%TechCrunch: 4.4%Appeal to Authority0.0%This article: 0.0%Anthony Ha: 3.3%TechCrunch: 1.7%False Dilemma0.0%This article: 0.0%Anthony Ha: 1.5%TechCrunch: 0.7%Slippery Slope0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.2%Circular Reasoning0.0%This article: 12.1%Anthony Ha: 12.4%TechCrunch: 6.0%Hasty Generalization12.1%This article: 0.0%Anthony Ha: 0.7%TechCrunch: 0.2%Red Herring0.0%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 1.1%Bandwagon0.0%This article: 14.6%Anthony Ha: 3.4%TechCrunch: 2.2%Appeal to Emotion14.6%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.6%Begging the Question0.0%This article: 0.0%Anthony Ha: 3.6%TechCrunch: 2.9%Post Hoc (False Cause)0.0%This article: 0.0%Anthony Ha: 0.8%TechCrunch: 0.1%Tu Quoque0.0%This article: 0.0%Anthony Ha: 1.1%TechCrunch: 0.5%Burden of Proof0.0%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.2%Appeal to Nature0.0%This article: 0.0%Anthony Ha: 0.7%TechCrunch: 0.3%Composition/Division0.0%This article: 21.0%Anthony Ha: 5.0%TechCrunch: 2.4%Anecdotal21.0%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.1%No True Scotsman0.0%This article: 10.2%Anthony Ha: 1.4%TechCrunch: 2.0%Ambiguity (Equivocation)10.2%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.2%Middle Ground0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Personal Incredulity0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Special Pleading0.0%This article: 0.0%Anthony Ha: 0.4%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 14.6%Anthony Ha: 2.5%TechCrunch: 2.0%Unattributed Quote14.6%This article: 0.0%Anthony Ha: 1.3%TechCrunch: 0.7%Quote-first Misdirection0.0%This article: 5.7%Anthony Ha: 5.7%TechCrunch: 4.6%Biased Writer Voice5.7%This article: 0.0%Anthony Ha: 1.6%TechCrunch: 0.8%Indoctrination0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Anthony Ha: 0.8%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Anthony Ha: 1.7%TechCrunch: 4.9%Attempt to Sell a Product or S…0.0%

157 words analyzed.

Speakers

3speakers64%attributed speech57writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageBen Affleck • 33 words • 0.0% coverageNetflix • 32 words • 0.0% coverageBloomberg • 16 words • 0.0% coverageNetflix • 19 words • 0.0% coverage
Selected voice

Ben Affleck

100%flagged-word coverage
33 attributed words33% of attributed speech56% writer coverage
0%22.5%45.0%Unattributed Quote-40.4 ptsWriter: 40.4%Ben Affleck: 0.0%0.0%Biased Writer Voice-15.8 ptsWriter: 15.8%Ben Affleck: 0.0%0.0%

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.