Why you should care: Silver noted that data visualizations may be especially susceptible to bias and misinterpretation, often because we stuff in too much information, making them more difficult to decipher.
Ke eng fa seo se ka nna sa se ka sa thusa: Baitse ba re fa batho ba ba tshwenngwang ka tsa tlhakanelodikobo ba go itlhokomolosa, gantsi batho ba ba ba tshwenyang ga ba kgaotse e bile ba ba tshwenya le go feta.