I hated writing until I learned there’s a science to it (2024)
Skill, Taste, and the “Gap”
- Many relate to liking good writing yet hating their own; strong taste makes early work feel especially bad.
- The idea that you must “be bad for a long time” before quality and ambition align resonates across domains (writing, trades, drywall, electrical work, sports).
How to Get Better at Writing
- Repeated advice: write a lot on a schedule; expect years of mediocrity before things “click.”
- Deliberate practice ideas: imitate different styles, impose constraints, copy or translate novels, dissect stories, stop movies and continue the plot in writing.
- External feedback and writing communities are seen as essential; learning to both give and receive criticism is its own skill.
- Reading widely, including bad work, helps clarify what works and why. Some suggest lingering over texts and analyzing structure and word choice in detail.
Editing, Structure, and Academic Writing
- Many see editing as the real craft: start with a bad draft, then iteratively cut, tweak, and refine.
- Some love old, essay-like academic papers and dislike modern formulaic structures; others argue the structure supports skimming in an era of information overload.
- Scientific writing is viewed as hard but clarifying; the need to “step aside” as an author to reduce bias can make texts feel empty or joyless.
Talent, Luck, and Practice
- Several endorse “mostly sweat, a little talent, a little luck,” but others argue luck is a far larger factor.
- A counterpoint: “luck” often looks like being ready (skilled) when opportunity appears, after long periods of rejection and grind.
Skepticism About the “Science” of Writing
- Many expected actual scientific explanation and found only “write, then revise” advice.
- Some call the piece content-free clickbait, misusing the word “science”; others still find comfort in the normalization of iteration.
LLMs, AI, and Writing
- Comparisons are drawn between human practice and LLM training (reading plus “exercises”).
- Some claim AI prose has detectable stylistic fingerprints; others worry people will offload writing and lose its thinking benefits.