Thinking About Font Sizes

Stephanie Evergreen shares some good information on font sizes:

Did you know that you regularly read type set in size 8, or even smaller? In printed materials, captions and less important information (think: photograph credits, newsletter headline subtext, magazine staff listings) are usually reduced to something between 7.5 to 9 points. We generally read that size type without much issue, like glasses. The reason why we can comfortably read those small sizes is because the designers chose an effective font that keeps its clarity and legibility when shrunk.

Designers don’t make the font that tiny to give you a headache. They do it to establish a font hierarchy. Our brains interpret the biggest size as the most important and the littlest size as the least important. So we can create a hierarchy of font sizes to structure our work and communicate even more clearly.

The font hierarchy is important, but so is picking a font which is clear at the sizes you want to use.

Related Posts

Combining Plots In R With cowplot

Abdul Majed Raja shows how to use the cowplot library in R to merge together independent plots into a single image: The way it works in cowplot is that, we have assign our individual ggplot-plots as an R object (which is by default of type ggplot). These objects are finally used by cowplot to produce […]

Read More

R htmlTable Updates

Max Gordon has some updates to the htmlTable package: Even more common than grouping columns is probably grouping data by rows. The htmlTable allows you to do this by rgroup and tspanner. The most common approach is by using rgroupas the first row-grouping element but with larger tables you frequently want to separate concepts into separate sections. Here’s a […]

Read More


October 2018
« Sep Nov »