Agreed. I think the main underlying problem is to comprehend the data and avoid pitfalls like biases you need logical and mathematical understanding - which the talk avoids as if it's irrelevant. To represent the data with utility you also need graphics design chops - not everyone can choose the right representation for a set of numbers that can be easily read/understood by a mainstream audience.
I tried to follow this talk but it is incredibly tedious.
Agreed. I think the main underlying problem is to comprehend the data and avoid pitfalls like biases you need logical and mathematical understanding - which the talk avoids as if it's irrelevant. To represent the data with utility you also need graphics design chops - not everyone can choose the right representation for a set of numbers that can be easily read/understood by a mainstream audience.