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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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.
There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.
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.
People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?