Bayes's theorem allows us to use subjective thinking to find numerical values to formulate assessments of risk. It is more than a mathematical formula; it can be thought of as an iterative process that challenges us to imagine the potential for "unknown, unknowns." The heuristics involved in this process can be enhanced if they take into consideration some of the established risk assessment and communication models used today in technical communication that are concerned with the social construction of meaning and the kairos involved in rhetorical situations. Understanding the connection between Bayesian analysis and risk communication will allow us to better convey the potential for risk that is based on probabilistic assumptions.

Technical communicators should be conscious of how the algorithms that govern "middleware" (software that structures the presentation of data) constrain their ability to represent information. We use critical theory from the digital humanities to discuss how critical visual literacy allows designers to better present contextual information to enhance the user experience. We illustrate this approach with an example of medical communication by using social network analysis software to demonstrate the spread of Ebola in Africa.