Welcome to the third article in our series on readability, which deals in assumptions.
Assumptions are an oft maligned—but nonetheless useful and necessary—part of making writing more readable. The key is to make informed assumptions that aid readability rather than reduce it.
Let’s walk through some different types of assumptions that writers make, and then finish with some tips for making good ones.
You start to assume the moment you write your first word. Why? Because you’re assuming the reader is fluent in the language you wrote that word in. By the end of your first sentence, you’ve already relied on several other grammatical and linguistic assumptions about punctuation and pronunciation.
It’s especially important for writers to be sensitive to these fundamental assumptions because it’s easy to go on autopilot and overlook them. For example, writers working in English may forget about English as a second language speakers because they forget that English isn’t everyone’s primary language (1).
Valid assumptions are based on what you know about your audience—and what they may already know about your topic. If you’re writing a beginner's textbook for cooking, you might define the word mince the first time you use it. If you’re writing a more advanced textbook, you may be less obliged to do so. Both of these are valid assumptions based on the knowledge of the audience.
Incorrect or negative assumptions typically come from a lack of forethought about one’s audience. The cookbook author in the above example could just as easily assume that mince is a common enough word that it doesn’t need to be defined. However, if you don’t fully define it, the amateur chef may well end up dicing or chopping instead, leading to undercooked potatoes.
Language (especially English) is riddled with these conceptual tangles, and both writers and editors need to correct for them before they confuse their audience.
Here are three ways you can make good assumptions about your audience:
Keep an eye out for the fourth installment of our series on readability, which will summarize some of the algorithms used to mathematically assess readability.