Anyone who's spent any time at all with the scientific literature has encountered the phrase "Bayesian statistics." What's that all about? How can there be more than one kind of statistics? Isn't statistics just a branch of mathematics, where everything is cut and dried? Alas, no. In his book Numerical Recipes, Bill Press describes statistics as "that gray area which is as surely not a branch of mathematics as it is neither a branch of science." Statistics is all about using data to derive conclusions, but there's no single "right" way to do this. So the world of statistics resembles Europe during the Reformation, divided into various factions and sects, one of these being the Cult of the Bayesians. The key idea of Bayesian statistics is that one needs to incorporate prior assumptions about reality into any modeling of data.
Here's an example. Suppose that Alfred flips a coin 20 times, and he gets 20 heads in a row (this is very unlikely -- the probability of 20 heads in a row is less than one in two million).
Now Alfred flips the coin one more time. What is the probability that this coin flip will come up heads? Is it
(A) Less than 1/2? Alfred has used up all the heads.
(B) Exactly 1/2? Past performance tells you nothing about future returns.
(C) Greater than 1/2? Alfred is on a roll!
Thursday, February 22, 2018
Friday, February 9, 2018
Why I am not a Biologist
I diligently avoided biology throughout my high school and college years. Why? Well, for starters biology is the smelly science. Also wet, sticky, and generally disturbing. Contrast that with the clean, crystalline clarity of physics. But I've also come to understand that there's a fundamental difference between the way that biologists and physicists think about the world. Maybe you've seen this famous poster of "metabolic pathways":
I have to admit that the first time I encountered it in the hallway of my university, I thought it was some sort of a joke. What kind of Rube Goldberg machine is this anyway? Of course, it's very real, but my reaction shows the gulf between the way that physicists and biologists think.
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