Data and Visuals Illustrate Tyson's Water Impact
The Union of Concerned Scientists’ report and related visuals show how Tyson Poultry pollutes U.S. waterways and offer teaching tools for class.
The online report is a good example of an interactive report. Unlike the traditional reports we typically teach, this one lacks organizational features that could be useful to a reader; we don’t see an executive summary or table of contents. A hyperlinked list early on could be useful to find, for example, the acknowledgments or references, which account for about one-third of the report. Oversized tables are clear but could convey more meaning with visuals and comparisons. Given the first sentence of the report, “If you have ever purchased meat or poultry from the grocery store or enjoyed chicken nuggets from a fast food restaurant, chances are you are a consumer of Tyson Foods (Miller 2018),” the audience seems to be the general public, but most people don’t know the significance of, for example, 138 million pounds of chloride (although I know it’s not good).
Still, the message is clear in the first paragraph, and the group doesn’t mince words with the report title, “Waste Deep.” After describing the scope of the company, the punchline is at the end of that paragraph: “However, that prosperity comes at a high price—especially for communities burdened by water pollution from Tyson processing plants.”
A Guardian article translates data for the public to better understand. As discussed in Chapter 9 of Business Communication and Character, comparing data to something the audience can picture provides context and relevance. The article includes images of Olympic-sized pools and Manhattan and provides an infographic of all meatpacking plants to show the scope of Tyson’s wastewater.
Later in the article, we see the pollutants grouped. A few major categories with brief descriptions are much easier to understand than the laundry list of pollutants in the Scientists’ report. Students will find other ways the Guardian helps us make sense of the Tyson data.