Thin

Reference

Data sources and credits

Thin Air stands on open data and open-source work. This page names it, explains how we use it and describes the limits.

Answer lists

For many categories, candidate answers come from Wikidata, the open knowledge base maintained by the Wikimedia community and released under the CC0 public-domain dedication. For categories that need broad, everyday answers, such as things you would find in a classroom, we write the lists ourselves, with AI assistance. Every list, whatever its source, is reviewed with AI assistance, with errors removed and common alternative names and spellings added.

Word frequency

The word-rarity part of a score comes from wordfreq, an open-source Python library by Robyn Speer and contributors. Its data is released under CC BY-SA 4.0. We use it only to estimate how common a word is in everyday writing, and we switch it off for prompts about names or situations where it would not say anything useful.

Fonts, art and code

The text is set in Fraunces and DM Mono, both used under the SIL Open Font License 1.1 and hosted on our own server. The artwork (the plane, the clouds, the landscape) and the game code are original to this project.

Why open data

We use open data because a game that asks for the names of things should stand on shared, checkable knowledge. Wikidata is edited by volunteers across the world, and its records are linked to thousands of languages. That breadth helps us include answers that are not specific to one country. The trade-off is quality: volunteer-edited data is uneven, and a list pulled directly from it can contain oddities. This is why every list is reviewed and corrected.

What we change

Corrections and licensing questions

If you maintain one of the sources we use and see something we have done wrong, or if you believe an item on our site infringes your rights, please contact us and we will look at it promptly.

How we check

Limits

Open data contains errors, and any list of answers is incomplete. Ratings of how obvious an answer is are our estimates and can be wrong. The names of people, places, brands and works appear only to identify them and belong to their owners. If you spot an error or an omission, please tell us. Read more about the method in rarity without a crowd and how a prompt gets made.