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README.md

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In each of these defines _how_ to generate random values. The most interesting case is `usuallyTrue` which generates `True` 80% of the time and `False` 20% of the time!
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Now look at this [working example](http://elm-lang.org/examples/random) to see a `Generator` used in an application.
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Now look at this [working example](https://elm-lang.org/examples/random) to see a `Generator` used in an application.
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## Mindset Shift
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So instead, we create a `Generator` and hand it to the Elm runtime system to do the dirty work of generating values. We get to keep our guarantees _and_ we get random values. Great! And once people become familiar with generators, they often report that it is _easier_ than the traditional imperative APIs for most cases. For example, jump to the docs for [`Random.map4`](Random#map4) for an example of generating random [quadtrees](https://en.wikipedia.org/wiki/Quadtree) and think about what it would look like to do that in JavaScript!
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Point is, this library takes some learning, but we really think it is worth it. So hang in there, and do not hesitate to ask for help on [Slack](http://elmlang.herokuapp.com/) or [Discourse](https://discourse.elm-lang.org/)!
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Point is, this library takes some learning, but we really think it is worth it. So hang in there, and do not hesitate to ask for help on [Slack](https://elmlang.herokuapp.com/) or [Discourse](https://discourse.elm-lang.org/)!
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## Future Plans

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