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.

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.

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

I know of no person or group that is taking nearly adequate advantage of the graphical potentialities of the computer.

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.

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

The best thing about being a statistician is that you get to play in everyone's backyard.