I kept wondering how anyone who chooses hard-to-read shonky 3d bar charts like that could possibly perform a decent statistical analysis.
Unless of course you judge the validity of a study based on the appearance of its graphs?
Also, the irony of that title, and the way this is a second go at this blog post...
Not just that it is ugly, but also hard to read. ugh.
However, the graphs (as others have said) are terrible. Simply having a graph type available to you doesn't mean you have to use it! For the sake of your readers, please, please, only use one type of graph. Stick with a plain bar chart. Nobody minds that it's not as fancy looking as a pseudo-3D bar chart or one with pointed cones. People want to see the data, not the fancy chart.
An additional point to this is labelling your axes. Please do it! If I can't see clearly what an axis represents, I'm inclined to ignore your data. Regardless of how interesting your data is, I'm going to stop reading if it's presented terribly.
These are the sorts of things that get hammered into you in scientific subjects at school/college. You don't need to do that type of class to know them though. There's plenty of information online about this stuff.[1] Worth noting is section 2.6, "Do not misuse the tools". Bad graphs are to statistics what the <blink> tag is to HTML.
[1, The UNs guide to presenting statistics]: http://www.unece.org/fileadmin/DAM/stats/documents/writing/M...
You conclude, for example, that "In general, it can be concluded that people can and do make snap judgments about personality and abilities based on superficial physical characteristics."
However, a cursory stroll through ranking people on your site reveals that actually, peoples' "snap judgments" show very high subjective variability, and you see these graphs which just have data points all over the place, looking more like a uniform distribution than a clear "everyone things you look smart and extroverted."
Given this, can you profile a burst of ratings? Can you say that there are a coherent group who rated Alice as smart extrovert and Bob as smart introvert and Carol as dumb extrovert -- and can you profile their preferences? Or do most people just browse through your site clicking randomly on the axes without any real reflection on the people they're rating?
We could see this if we could see error bars, but aside from your very first image where you try to show that there is a negative correlation between smartness and sociability, info on variability seems quite nonexistent. (And even there, it is clear that the variability dwarfs the trendline.) Also, you might want to see if there are systematic biases -- what happens if you flip the introvert/extrovert axis for some IP addresses?
I've lost a bit more than a hundred (yes, 100) pounds during the last year. My social skills have improved due to an increase in my confidence.
But here is the interesting part.
People do treat me much better. I get more respect. More smiles. They think I am more intelligent, and show this by listening to what I have to say.
And even though I am an introvert, and somewhat shy, people tell me how "social" I am.
I have not changed the way I dress (jeans, t-shirt, sneakers). Though when I'm wearing exercise clothing (running shorts, a sleeveless shirt, running shoes), people are more likely to approach me.
So, this person does have a good point. We are indeed judged by our appearances. In fact, our social standing is calculated on the fly by others on how we look.
Edited to fix spelling disaster.
Other than that, quite interesting!
However, I have to say, the graphs are ugly. Eg, spikes aren't good, you could have gone with with a bar chart. Also, 3d graphs are unneeded, and in general are very hard to do right. They can't convey much information. With just 2x2 variables, there are 4 datapoints. That would be fine on a 2d picture.
Otherwise keep on with the research...
Also, asking people a direct question will often get you a dishonest answer. Maybe there's a way to ask the same question in an indirect way?