Hello everyone,

This is to announce that over the past few months we've been investigating ways to help Wikidata editors maintain high data quality standards by making it easier to spot mistakes. One type of data that hints at potential errors in the data are outliers and similar anomalies. However, they might also be a hint at something really curious happening in the world. A few outlier examples include the Item of a woman who married the Eiffel Tower, or countries with several capitals, the town with a cat as the mayor, and so on. It's tricky for a machine to identify if something is a real curiosity or a data error, but a human usually can.

For this purpose, we worked on developing a tool to find such outliers and anomalies and make the process of checking these facts a little more fun. It's now available at Curious Facts https://wikidata-analytics.wmcloud.org/app/WikidataAnalytics

How does the Curious Facts system work?

You go to the curious facts website and select 'Give me some new weird stuff!' from the tool. A random curious fact from Wikidata is shown. You can now look over these Items to figure out what's going on. To fix the issue, make sure you're logged in on Wikidata, so you can view the constraint violations indicators in case there are any statements triggering a constraint violation.

Please try out the tool and let us know what you think.

If you encounter any issues or want to provide general feedback, feel free to leave us a note on this discussion page <https://www.wikidata.org/wiki/Wikidata talk:Curious_Facts>.

Oh and please share if you stumble upon something fun along the way ;-)

Cheers,