Repost: The Comic Potential of Two Axes

Much of scientific communication consists of throwing up a graph and then explaining it. There are some basic procedures for doing this, many of which were probably ignored by the speaker at your most recent department seminar. Don't be that mumbledy jerkface who never explains the numbers on his or her unintelligible axes!

I suggest that you use the following graphic prompt to practice giving talks in the style of your adviser, department chair, or another charmingly be-mannerism'd colleague:

A randomly-generated graph

Reload the page to get a new one.

More like this

Avi Steiner emailed me with a set of questions that are too good not to turn into a blog post: Being a math/science major at a small liberal arts college, I unfortunately never get the "full" experience of a math/science talk. Since I do plan on eventually attending grad school, I thought it might…
Dr. What Now? has a nice and timely post about helping students prepare for oral presentations, something I'll be doing myself this morning, in preparation for the annual undergraduate research symposium on campus Friday. Of course, being a humanist, what she means by oral presentation is a…
Reading Dylan Stiles's blog yesterday reminded me of a post I wrote last summer about how to approach student talks about synthetic chemistry. Since evil spammers have forced us to turn off comments to the old site, I'll reproduce the original below the fold: Summer days are here again, which means…
Gordon Watts has deja vu: [Leaving a colloquium], I got stopped by another member of our department, who is a good friend of particle physics, and she said basically the same thing: all particle physics talks look the same. Some of the comments: Two slides on the detector. Some pictures of quarks,…

Correlation implies causation, right? Or is it the other way around?

When you're dealing with combinations like the one I just got -- "Grad student office space" vs. "Unattainable hotties" -- the choice of dependent variable has major consequences.

By convention, whatever's on the Y axis is the dependent variable. However, without plotting a graph of attainable hotties for comparison, you're not going to be able to usefully inform public policy.

Lemming: Yes, yes it does.

Next time I have serious case of procrastination on my hands I'll post something similar with ternary diagrams... though I expect that may exceed the number of variables for "funny" and move into the regime of plain ol' surrealistic garbage.

haha, I got octopodes per capita vs octopodes per capita, and somehow got:

A) Data with no visible correlation
B) A line of best fit which clearly does not have a slope of 1