Here is an interesting way to make statistics more persuasive without really lying.
Take a look at this chart. It was labeled "Hospital readmissions sharply declined."
Now look at this one. The same data are charted, but the decline does not look nearly as sharp.
A common trick is to abbreviate the Y-axis of a chart. Proponents of this will tell you it makes the chart more compact and easier to read. However, the downside is that a small change is made to appear much larger.
Even though the change was said to be statistically significant in this instance, the casual reader would certainly be impressed much more by the sharp decline depicted in the first chart.
I believe the first chart was produced by the Centers for Medicare and Medicaid Services (CMS) to show that its policy on readmissions was working. I was unable to find the original source for it.
This also works with other graphics as shown in this pair of bar charts from the Visualizing Data blog.
I encourage you to look for this type of manipulation when you read research papers. pharmaceutical ads, or any other depiction of data.