[OC] How to spot misleading charts? I would like to hear your opinion on the subject, also any tips design-wise?
Submitted by dark_o3 t3_zg7pck in dataisbeautiful
Reply to comment by IONIXU22 in [OC] How to spot misleading charts? I would like to hear your opinion on the subject, also any tips design-wise? by dark_o3
The problem is that in some plotting programs that's the default. That's why it's hard to know if the journalist presenting the graph is deliberately trying to mislead or is just incompetent and doesn't understand that if he/she doesn't tell the plotting program not to suppress zero, the graph will be misleading.
Criminally negligent or just criminal.
Journalists should know this, it’s not complicated. Assume intent to mislead. Or that they’re too dumb to be doing their job.
Halon’s Razor would like a word.
“Never attribute to malice that which can be adequately explained by stupidity.”
But my article is more convincing if the difference looks bigger.....i feel like the difference is this big...
I wonder if there is room for some journalism exam that requires passage. How to properly display data, etc. It wouldn't have to be exceptionally complicated but I think there are zero entrance requirements to being a journalist. At least you could say 'certified' or some such. Maybe there is qualification exam out there I don't know of.
I think we need less official credentials, really. No reason why hair dressers need a license. But newspapers shouldn’t hire journalist, people who deal in fact finding, if they are easily deceived.
Not every graph needs to start at 0 though. A graph of temperature, for example, shouldn't ever start at 0 K unless you're dealing with temps in that range.
I agree that there are a few exceptions, temperature being one of them. However, most misuse of suppressed zero is not with these quantities.
I think there are good reasons to cut a y axis short, but you have to know your audience. If there are small differences, but you want to draw attention to those differences, it can make sense. I've done it in academic papers before, comparing scores in one group around 80% and scores in the other group around 87%. Statistically significant, but the full-scaled graph just doesn't present that information clearly. Scientists can handle looking at the y axis to check, but your everyday person likely won't.
Maybe it's not always intentional, but as journalists they have an obligation to do it right.
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