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There's a form of casual violence that kills 1.25 million people a year (3 times more than malaria) and injures up to 50ODI roads cover million more. 90% of the deaths are of poor people (usually men) in poor countries. No guns are involved and there's lots of things governments can do to fix it. But you'll hardly ever read about it in the development literature, although road safety did make it into the Sustainable Development Goals (as did everything else, it has to be said) - targets 3.6 and 11.2 for SDG geeks. So hats off to ODI (again) for not only painstakingly building the case for taking action on a major cause of death and misery in poor countries (see below), but also exploring the politics and institutions that so far have prevented governments from taking action.

Dismissing people's worries as baseless, whether that's about the safety of mobile phones or fluoridated drinking water, is one of the least effective ways of communicating public health risks. Yet it is common for people to "reassure" like this, both at home and in professional roles as experts, officials or corporate managers. 1. Hose down your own outrage first 2. Respect people's fears 3. Build trust 4. Don't panic about panic 5. Your actions communicate more than your words 6. Play the long game

Excellent discussion of absolute and relative risk in the context of alcohol safety. "But claiming there is no 'safe' level does not seem an argument for abstention. There is no safe level of driving, but government do not recommend that people avoid driving."

For AT2 we're asking you to analyse one of the datasets https://tinyurl.com/AEIDatasets . This piece provides some nice examples of how people are using data to do deep exploration of a topic (bike sharing) and its impact for particular stakeholders. If you were doing something on road safety/bikes, then these kinds of resources are good examples of other research you could draw on to support your own analysis of the data and to tell your data story.