In a single sentence the moral is: admit that complexity always increases, first from the model you fit to the data, thence to the model you use to think about and plan about the experiment and its analysis, and thence to the true situation.

It's better to solve the right problem approximately than to solve the wrong problem exactly.

There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart.

Numerical quantities focus on expected values, graphical summaries on unexpected values.

If we are going to make a mark (key 21), it might as well be a meaningful one.

When communicating results to non-technical types there is nothing better than a clear visualization to make your point.

An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.