About The Wear Report

The Wear Report answers a simple question with observed data instead of opinion: what do people actually wear at a given temperature? It counts coats, bare legs and umbrellas in aggregate across London’s public traffic cameras, and publishes the shares with their sample sizes, dates and confidence intervals.

Who runs it

Jake Gu runs The Wear Report. Jake works in search and generative engine optimisation (SEO and GEO). More at gujianjun.net.

Why it exists

Weather apps give a temperature. Deciding what to wear from a number is guesswork, and advice online is mostly opinion. Watching what thousands of people actually chose at the same temperature is a more honest answer.

How it is made

• Data. London’s public traffic cameras (TfL JamCam) are sampled several times an hour during the day. Frames are processed in memory and immediately discarded. Only aggregate counts are kept and published. See the methodology and the privacy notice.
• Uncertainty. Every percentage shows its sample size, date range and a 95% confidence interval. Below 200 observations a page says “collecting data” instead of showing a number.
• Software. The engine and this site are built with the help of AI coding assistants. Every change is specified, tested and reviewed before release, and nothing is published without data behind it.

Contact

Through gujianjun.net.