Public policymaking and research information.

Thompson et al. (1986) wrote a how-to guide for behavior analysts who want to shape laws. The paper lists seven boxes a legislator cares about: size of the problem, who is affected, how many people, why it happens, what else was tried, and will voters accept it.

The authors say you should drop your journal pdf into these boxes before you email or testify. No new data were collected; it is a roadmap.

The guide itself is the product. When analysts hand lawmakers a one-page fact sheet that answers the seven boxes, the odds of the bill moving forward go up. The paper does not give vote counts, but it shows the format worked in two unnamed state hearings.

Fujita (1985) set the stage one year earlier. That paper warned that TV and newspapers were getting our story wrong and told us to speak up. Thompson et al. (1986) keep the same urgency but aim the message at senators instead of reporters.

Thomson et al. (2025) give a real-world proof of concept. Their Ontario licensure campaign followed the seven-box recipe for 25 years and finally won regulation. The narrative review reads like a case study of the 1986 paper in action.

Evenhuis (1996) adds a language twist. Where T et al. tell you what content to send, M shows you how to say it without scary words like "punishment." Use both papers together: package the data, then swap the jargon for friendlier terms.

If you have ever complained that "they just don’t get the data," this paper gives you a plug-and-play outline. Before your next school-board or insurance meeting, paste your stats into the seven categories, trim to one page, and lead with the number of children on your wait-list. You turn a dense graph into a policy lever in fifteen minutes.