Initially, users could only input numbers, e.g., "A is `3` times better than B". But now, users can also input distributions, using the [squiggle](https://www.squiggle-language.com/) syntax, e.g., "A is `1 to 10` times better than B", or "A is `mm(normal(1, 10), uniform(0,100))` better than B".
**If you want to use the utility function extractor for a project, we are happy to add a page for your project, like `utility-function-extractor.quantifieduncertainty.org/your-project`**.
Navigate to [utility-function-extractor.quantifieduncertainty.org/](https://utility-function-extractor.quantifieduncertainty.org/), and start comparing objects.
You can change the list of objects to be compared by clicking on "advanced options".
After comparing objects for a while, you will get a table and a graph with results. You can also use the [utility tools](https://github.com/quantified-uncertainty/utility-function-extractor/tree/master/packages/utility-tools) package to process these results, for which you will need the json of comparisons, which can be found in "Advanced options" -> "Load comparisons"
[^1]: The program takes each element as a reference point in turn, and computing the possible distances from that reference point to all other points, and taking the geometric mean of these distances. This produces a number representing the value of each element, such that the ratios between elements represent the user's preferences: a utility function. However, this isn't perfect; the principled approach woud be to aggregate the distributions rather than their means. But this principled approach is much more slowly. For the principled approach, see the `utility-tools` repository.
