Data Science Explainer

Scaling scams

It's important, when you're making graphs, to think about the story you want to tell with the data, and what type of graph, and what features of the graph, will help you tell that story. Likewise, when you're looking at someone else's graph, we all need to apply that critical data literacy and look at the scale on the y axis, as well as checking the labels, finding out the origin of the data, and considering whether the graph is accurate, a valid way to display that data, and what story it might be trying to tell you.

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From Hypnotised to Heretic: Immunising Society Against Misinformation.

What we can build this way is a world where policy is evidence based. Where we make data informed decisions, while understanding that the data isn’t perfect. Where kids are empowered to learn all of the skills they need to solve problems in their own communities. Where technological solutions are rationally evaluated, rather than uncritically worshipped.Â