We should use our toolbox to make complexity understandable. We need to use the tools at our disposal to build data literacy by showing the context that data exists in. Because with that data, and with context around the data, we’ll be able to build understanding…
In pre-modern societies there was no idea of waste; everything was going back into life—recycled, as we would say today. If there were more children coming into the world in a family, then obviously there was room for them, and extra work somewhere in the farmyard, in the field, in the stable. And of course a place around the table. So the idea of being redundant, having no place in society, simply didn’t occur.
The reality is we have been so busy calling people names, obsessing over borders and walls, and spreading misinformation that we haven’t even asked hard questions like why do people move? What does US foreign policy and US trade agreements have to do with migration patterns? Remember when those children started walking from Central America to here, and CBS News and a lot of organizations called them “illegal immigrant” children instead of calling them the refugees that they are? What did we do to Nicaragua, El Salvador, and Guatemala so that their countries got so violent that they have to come here? Who started the drug war? What did NAFTA do not only to the United States but to Mexicans, right?
People think that the Civil Rights Movement and all big epochal movements involve conscience, and they do. They also involve consciousness. I mean, you can’t struggle against what you’re unaware off, right? The Klan as the iconic carriers of violence, the Bull Connor of the iconic southern white male resistance, George Wallace the iconic neopopulist racist. You know, these were historic figures in myth and reality. But we wouldn’t get to what they represented till much later.