simplify

paper.md

@@ -203,8 +203,8 @@ To do this automatically (recommended) and in parallel (by default on all cores
 from adaptive import Runner
 runner = Runner(learner, goal)
 ```
-This will return immediately as the calculation happens in the background.
-That also means that as the calculation is in progress `learner.data` plotted with `learner.plot()`.
+This will return immediately because the calculation happens in the background.
+That also means that as the calculation is in progress `learner.data` is accessible and plotted with `learner.plot()`.
 Additionally, in a Jupyter notebook environment, one can call `runner.live_info()` to display useful information.
 To change the loss function ...