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

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.

The greatest value of a picture is when it forces us to notice what we never expected to see.

All we know about the world teaches us that the effects of A and B are always different-in some decimal place-for any A and B. Thus asking "are the effects different?" is foolish.

Visualization is often used for evil - twisting insignificant data changes and making them look meaningful. Don't do that crap if you want to be my friend. Present results clearly and honestly. If something isn't working - those reviewing results need to know.

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

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.