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The other morning I made sure to tell a colleague about Whiteboard Tower Defense, a potentially addictive flash game. The colleague is giving a talk next week and in the finest tradition of physics research, had barely started to assemble his powerpoint slides and was starting to stress a little. So a time-wasting diversion is just what he didn’t need, but was in retaliation for him sending me links about some cool new iPhone/iPod Touch apps he got. I don’t have an iPod Touch or an iPhone. He knows this.

Anyway, I’m going to the same conference, so posting will be a little light for the next week.

Are You Eyeballing Me?

The eyeballing game

The game works by showing you a series of geometries that need to be adjusted a little bit to make them right. A square highlights the point that needs to be moved or adjusted. Use the mouse to drag the blue square or arrowhead where you feel it is ‘right’. Once you let go of the mouse, the computer evaluates your move, so don’t let up on the mouse button until you are sure. The ‘correct’ geometry is also shown in green. To avoid the need for extra mouse clicks, a mouse button up counts as the move being finished, so be careful.

You will be presented with each challenge three times. The table to the right shows how you did on each challenge each time.

An Abbie-Someone Distribution

The Lake Wobegon Distribution at The Universe of Discourse

[T]he remark reminded me of how many people do seem to believe that most distributions are normal. More than once on internet mailing lists I have encountered people who ridiculed others for asserting that “nearly all x are above [or below] average”. This is a recurring joke on Prairie Home Companion, broadcast from the fictional town of Lake Wobegon, where “all the women are strong, all the men are good looking, and all the children are above average.” And indeed, they can’t all be above average. But they could nearly all be above average. And this is actually an extremely common situation.

To take my favorite example: nearly everyone has an above-average number of legs.

The post goes on to use some baseball statistics, in a way that probably won’t give Chad apoplexy, arguing that professional baseball players shouldn’t follow a normal distribution, because they are not selected at random from the population. They should represent the part of the distribution several standard deviations above the average.

One flaw in the reasoning is that not all highly skilled athletes with the right abilities become baseball players, but I think the basic argument is sound.

Of course, college students probably aren’t a normal distribution. Schools screen their applicants, and there can be further skewing within that population; students drop out of classes, and not all courses are created equal. Take physics, for example — there are typically different levels of introductory physics: a so-called physics-for-poets class, a class that require just algebra, and one that requires calculus. Generally speaking your physics ability would correlate somewhat with the class you are taking. Even if the physics-taking population as a whole comprised a normal distribution, each individual class should not: the easiest class should be deficient in students at the high end, and the hardest class should be missing the low end.

Prediction vs Explanation

Prediction vs Explanation: A Puzzle

We do ten experiments. A scientist observes the results, constructs a theory consistent with them, and uses it to predict the results of the next ten. We do them and the results fit his predictions. A second scientist now constructs a theory consistent with the results of all twenty experiments.

The two theories give different predictions for the next experiment. Which do we believe? Why?

via incoherently scattered ponderings