Stop global warming. Decrease the National Science Foundation’s R&D budget. It’s so easy. More lessons on correlation and causation found here.
Nathan, I have enough trouble getting funding. Don’t make my job harder for me! lol
Too bad they didn’t dig deeper… the titles are great, but the correlations aren’t. The second (climate & NSF funding) might be best, but they should have put their origin for temp a little lower so that it (like NSF funding) started above the x-axis.
This is an old game… are there any really awesome examples out there where the data really does seem to suggest causation, though on closer examination causation is implausible?
(I do like the mountain range though… that’s a clearly causal relationship.)
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From beginner to advanced.
What you get
So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.
We know spending changes when you have more money. Here’s by how much.
I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.
The ever so popular Walmart growth map gets an update, and yes, it still looks like a wildfire. Sam’s Club follows soon after, although not nearly as vigorously.