Quote:
Originally Posted by Damien
In this case they're using type of deaths as the comparison rather than male vs female. The value of the x-axis is determined by the dataset for each gender separately rather than together. The higher number of road deaths for men are throwing off the numbers, the female one would look weird if they kept the x-axis the same across both charts.
TBH I think the whole comparison on the world scale has little value because the differences in the causes and solutions between the developed and undeveloped world will be so different.
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I agree. I just think a lot of people won't notice or understand that as the two graphs have been made to look identical apart from the scale so at a glance the female figures look much worse when in fact they're not.