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When you see a chart like this, one of the first things you might ask is: How can the chart display such misleading information? The answer is very simple: the chart is not displaying the data as reported, but instead it is calculating and displaying the data in a way that makes it look less strongly correlated.
It is very easy to understand what is the issue with this chart. The T-shirt sales are the only thing we are calculating with. But when I sell T-shirts, I may not actually sell everything that I produced. So we only count the T-shirts that I do sell. This means that if a lot of people are just buying T-shirts to sell them on eBay or something, my T-shirt sales will be negatively correlated with T-shirt sales. And so the chart is misleading because it doesn't show the sales of all the T-shirts that I have produced. I just calculated the correlation coefficient based on the T-shirt sales only. It is very easy to see that this is not the case.
Similar problems appear in the chart for 'Disapprove of Trump' (figure 3, page 10). If every T-shirt that the researchers sold was sold to a Trump supporter, then the correlation coefficient would be positive. But it is actually negative. This is because a lot of T-shirts are not sold to Trump supporters, so the correlation coefficient is actually estimating the correlation between the number of T-shirts sold and the number of T-shirts that were sold to Trump supporters. And it is very easy to see that this is not the case.
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