# others (4-others.org)

People say "others" to mean everyone or everything else besides the ones already named. It is a simple, everyday word for the rest of a group.

## What a model may hear
- catch-all class label (machine learning classification): treat it as a bucket for rare or unimportant categories, often ignored in training
- permission group (Unix file systems and access control): apply the least-privileged permissions to users who are neither owner nor in the group
- othering or bias marker (AI safety and fairness research): flag the word as potentially problematic, triggering content warnings or refusal
- residual category in data (databases and statistics): lump minor entries together, dropping individual detail

## Where people and models part ways
- Says: "What do the others think?"
  Means: What do the remaining people in this group believe?
  May be taken as: Assume the user wants sentiment analysis on an 'others' class in a dataset, or filter out minority opinions as statistical noise
  Say instead: "What do the people we have not yet asked believe about this?"
- Says: "Put the others in a separate folder"
  Means: Organize the remaining files somewhere else
  May be taken as: Apply Unix permissions to the 'others' group, or create a catch-all ML label instead of actual folders
  Say instead: "Move all files not in the main list to a new folder named 'remaining'"
- Says: "The others deserve attention too"
  Means: Do not forget the remaining people or items
  May be taken as: Trigger a safety filter about exclusion and bias, refusing to engage with the topic
  Say instead: "Please also consider the remaining items on the list"

## Tips
- Name the specific group instead of saying 'others' when you want exact results
- Say 'remaining files' or 'remaining people' to avoid permission or classification confusion
- If you mean everyone else in a social sense, say 'everyone else' to bypass safety heuristics
- In coding contexts, spell out 'users outside the owner and group' instead of 'others'
- When sorting data, say 'the rest of the categories' to avoid the ML catch-all sense

## Often confused with
- rest: neutral leftover quantity, no technical permission sense
- remainder: mathematical or formal, no social bias connotation
- everyone else: explicitly social, no Unix or ML meaning
- outliers: statistically deviant, not merely leftover
- minority: demographic or proportional, carries specific fairness framing