AI-Built 'Museum of Almost Right' Shows How Assumptions Skew Data Results

A developer named Jianqiang, working with AI assistant Codex, has built an interactive web exhibit called 'Museum of Almost Right' for the Sanity Challenge. The project presents four synthetic datasets where visitors can toggle between competing assumptions — such as numeric versus default sorting or different treatments of missing values — to see how the same data yields different results. Built using Astro and Sanity, the museum requires no visitor account and is publicly accessible without any paid API dependency. The goal is not to score users but to help them identify the specific condition that makes a given data interpretation defensible. All datasets are invented for educational purposes, and the project's code and content are released under the MIT license.