The author narrates his reasoning while tackling a puzzle in The Witness, noting increased effectiveness.
VERBALIZING THOUGHT BOOSTS PUZZLE SOLVING, STUDY SAYS
*A blogger found speaking his reasoning aloud turned a dull puzzle game into a productive session. A meta‑study of 6,000 participants backs the moderate benefit of the method.*
A recent blog post reveals a simple habit that turned a notoriously opaque puzzle into a productivity boost. The author, while interviewing candidates, asked them to “articulate your thoughts out loud” to keep pace with his own reasoning. He then applied the same rule to The Witness, a 2016 puzzle game praised for its geometric challenges but criticized for its bland presentation, no music, and no story. By narrating his own thought process—calling himself a streamer with an audience of one—he found the game more lively and his puzzle‑solving markedly more effective. The discovery prompted a deeper look at why verbalizing thoughts can sharpen cognition.
Why does speaking thoughts improve puzzle performance?
The author of the post began each interview by asking subjects to articulate their thoughts out loud. He applied the same habit while playing The Witness, a 2016 puzzle game noted for its unexciting presentation, lack of music, dialog, or story. Initially the game felt dull and frustrating, but narrating his own reasoning turned the experience lively and made him more effective at solving puzzles. He says the practice forces evaluation of unstated assumptions, linear sorting of priorities, and identification of abstractions. It also compels the solver to name formal rules instead of relying on intuition, engaging System II thinking that the puzzles demand.
Is there research supporting this technique?
The post cites a meta‑study involving 6,000 participants that found a moderate benefit to the verbal chain‑of‑thought method. The study’s size and reported effect size suggest the benefit is not anecdotal. The author interprets the result as evidence that speaking thoughts can augment working memory and improve problem‑solving accuracy. He plans to test the approach in more circumstances, indicating confidence in the empirical backing.
How does this compare to AI chain‑of‑thought?
Large language models (LLMs) use a chain‑of‑thought prompting technique because of an architectural limitation: they cannot iterate on previous thoughts without emitting tokens. Humans, by contrast, can internalize recursion, but the author argues that vocalizing thoughts mimics the LLM workaround, forcing a step‑by‑step externalization of reasoning. This parallel highlights that both artificial and human agents benefit from making implicit logic explicit, whether via token output or spoken narration.
Can the method be applied beyond games?
The author likens the practice to rubber‑duck debugging, where explaining a problem to an inanimate object forces clarification of assumptions. He also notes a similarity to writing a detailed forum post about a coding issue; the rigor of writing the question clarified his thinking. He intends to try the technique in future scenarios, suggesting potential utility in real‑time problem solving, backtracking, and exhaustive search across domains.
Frequently asked questions
What is the "Chain of Thought for Humans" technique?
It is the practice of narrating one's own thought process out loud while solving a problem, as the author did during interviews and while playing The Witness.
What evidence supports the effectiveness of speaking thoughts aloud?
A meta‑study involving 6,000 participants reported a moderate benefit to the verbal chain‑of‑thought method.
Which puzzle game did the author use to test the method?
The author used The Witness, a 2016 puzzle game noted for its minimal presentation and lack of music, dialog, or story.
The anecdote bridges a personal hack with emerging scientific evidence, suggesting that externalizing thought can be a low‑cost cognitive enhancer. As the meta‑study of 6,000 participants confirms a moderate benefit, the technique may soon migrate from niche gaming circles to broader problem‑solving contexts. Whether in code debugging, interview prep, or strategic planning, the simple act of verbalizing could become a standard tool in the cognitive toolkit.
Sources: Hacker News – Chain of Thought for Humans (https://www.boristhebrave.com/2026/10/18/chain-of-thought-for-humans/)