YouTuber Hank Green says his AI usage is ‘not healthy’ 47%

By Anthony Ha72%

8/1/2026, 12:45:45 PM

BS Summary: This article contains 16 faulty reasoning types, including Appeal to Emotion, Hasty Generalization, and Availability Heuristic, with Negativity Bias as the most egregious example at 28.5% saturation with 126 hits. Analysis detected 857 faulty-reasoning hits from 442 analyzed words, generating a BS Score of 43% and a BS Rank of 47% (13,961 of 26,281 articles). This article is better (less manipulative) than 53.10% of the article peer group.

Hank Green, a novelist, comedian, and YouTuber with 3.2 million subscribers, recently apologized to his audience for his growing reliance on AI chatbots. 
The controversy started when, in the middle of a video posted on the educational channel Complexly, Green incongruously used the phrase “I appreciate the pushback,” leading viewers to speculate that he’d written the script with a chatbot  and, in the process, accidentally included its response to one of his prompts. 
In a since-deleted post on X, Green acknowledged that he’d produced the video “under a ton of pressure” and used ChatGPT “for research on this script.” 
At the same time, he said the “pushback” line was actually a response to the episode’s guest. 
Green then offered a more in-depth apology on Reddit, where he said he was “mortified” that he’d “let so many people down” and that he plans to reduce his video production as a result. 
Green insisted that he’s only used ChatGPT to “locate papers and other resources for learning about topics,” and that the words and the “takes” have still been his. 
At the same time, he admitted it was fair to criticize him for “diluting” himself. 
He also clarified that he’s “not a pure AI-hater,” while also listing a number of concerns about the technology, including its impact on climate change and “the speed at which these companies are trying to consolidate economic power.” 
“Ultimately, what I am most scared of is ruining myself for people, but I have not been managing my impulses well,” he said. 
“You need to know that my words are mine. 
I don't think that this hasn't been true, but I've been moving so fast that my own process isn't actually clear to me and I want to have it be a guarantee moving forward.” 
It sounds like Green is going to take some time to figure out how to make that guarantee a reality. 
In the meantime, he’ll be pausing or posting less frequently to his various YouTube channels. 
Green said he wants to do more work like a recent meditative video “where the writing was the whole thing and I felt it all the way down.” 
Green also said he’ll probably make more videos with his “dumb unscripted straight to camera thoughts.” 
“But mostly I need to come to terms with the fact that the level of dopamine I've been getting from interacting with LLMs...with doing more and more and more and more...is not healthy for me or good for the world,” Green said. 
“It is careless, and has disconnected me from where people are on this.” 
Article reasoning-pattern comparisonThis article: 0.0%Anthony Ha: 3.8%TechCrunch: 2.8%Confirmation Bias0.0%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 1.3%Anchoring Bias0.0%This article: 16.1%Anthony Ha: 4.5%TechCrunch: 3.3%Availability Heuristic16.1%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 1.0%Representativeness Heuristic0.0%This article: 0.0%Anthony Ha: 0.9%TechCrunch: 0.5%Hindsight Bias0.0%This article: 0.0%Anthony Ha: 2.1%TechCrunch: 2.3%Overconfidence Bias0.0%This article: 8.6%Anthony Ha: 4.9%TechCrunch: 4.5%Framing Effect8.6%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 0.6%Loss Aversion0.0%This article: 6.3%Anthony Ha: 0.4%TechCrunch: 0.6%Status Quo Bias6.3%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 11.1%Anthony Ha: 2.9%TechCrunch: 4.6%Optimism Bias11.1%This article: 14.7%Anthony Ha: 2.1%TechCrunch: 1.4%Pessimism Bias14.7%This article: 28.5%Anthony Ha: 6.8%TechCrunch: 4.9%Negativity Bias28.5%This article: 12.2%Anthony Ha: 2.5%TechCrunch: 2.2%Self-Serving Bias12.2%This article: 2.9%Anthony Ha: 0.6%TechCrunch: 0.6%Fundamental Attribution Error2.9%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.5%In-Group Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 3.1%Halo Effect0.0%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: 0.0%Anthony Ha: 1.7%TechCrunch: 2.1%Recency Bias0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.3%Primacy Effect0.0%This article: 7.7%Anthony Ha: 0.2%TechCrunch: 0.1%Blind-Spot Bias7.7%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Ad Hominem0.0%This article: 0.0%Anthony Ha: 3.2%TechCrunch: 0.5%Straw Man0.0%This article: 0.0%Anthony Ha: 2.6%TechCrunch: 3.9%Appeal to Authority0.0%This article: 0.0%Anthony Ha: 3.7%TechCrunch: 1.7%False Dilemma0.0%This article: 8.6%Anthony Ha: 1.3%TechCrunch: 0.7%Slippery Slope8.6%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.2%Circular Reasoning0.0%This article: 21.0%Anthony Ha: 10.4%TechCrunch: 5.6%Hasty Generalization21.0%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.2%Red Herring0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 1.0%Bandwagon0.0%This article: 22.4%Anthony Ha: 3.5%TechCrunch: 2.1%Appeal to Emotion22.4%This article: 0.0%Anthony Ha: 0.4%TechCrunch: 0.6%Begging the Question0.0%This article: 0.0%Anthony Ha: 3.4%TechCrunch: 2.6%Post Hoc (False Cause)0.0%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.1%Tu Quoque0.0%This article: 6.3%Anthony Ha: 1.0%TechCrunch: 0.5%Burden of Proof6.3%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.2%Appeal to Nature0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Composition/Division0.0%This article: 2.9%Anthony Ha: 4.1%TechCrunch: 2.2%Anecdotal2.9%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.1%No True Scotsman0.0%This article: 0.0%Anthony Ha: 1.2%TechCrunch: 1.7%Ambiguity (Equivocation)0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anthony Ha: 0.4%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: 0.3%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 13.8%Anthony Ha: 2.3%TechCrunch: 1.7%Unattributed Quote13.8%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 0.6%Quote-first Misdirection0.0%This article: 10.6%Anthony Ha: 4.7%TechCrunch: 4.0%Biased Writer Voice10.6%This article: 0.0%Anthony Ha: 1.2%TechCrunch: 0.7%Indoctrination0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Anthony Ha: 1.3%TechCrunch: 4.4%Attempt to Sell a Product or S…0.0%

442 words analyzed.

Speakers

1speaker79%attributed speech94writer words
Selected voice

Hank Green

84%flagged-word coverage
348 attributed words100% of attributed speech76% writer coverage
0%27.5%55.0%Unattributed Quote-51.4 ptsWriter: 54.3%Hank Green: 2.9%2.9%Biased Writer Voice-13.5 ptsWriter: 21.3%Hank Green: 7.8%7.8%

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.