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.)
Become a member.
Learn to visualize your data.
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.
The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.
“Let the data speak” they say. But what happens when the data rambles on and on?
Here’s a chart to show you how long you have until you start to feel your age.