My concern is that this analogy makes it sound too much as though evolution has a preset goal that the traits are aiming at (which is an error that's already pretty pervasive).
So I would either explicitly address that problem when you're pulling out this analogy, or tweak it to make it sound less telos-y. (Maybe you're playing hangman in French, or some other language you're not fluent in and you're just trying to make any real word of that length? But the more letters you lock in, the fewer possible answers are available?)
Hi guys,
I was trying to come up with a helpful analogy to help explain natural selection in simple terms and it occurred to me that the game Hangman might make a useful analogy, albeit an imperfect and simplified one. I'd be interested to hear your thoughts on this and any other useful analogies or strategies for explaining in simple terms how natural selection allows complexity to arise from simplicity and how it is distinct from random chance.
The Hangman analogy I propose would read as follows:
The benefit of this analogy is it's an example of random guesses still having a sense of forward progression (discovered letters are not removed, and gradually build up), and that it refers to a simple game I think most people will be familiar with. You could then go on to explain how a complex adaption takes many more than a dozen steps, that there are many more than 24 possible mutations, and that each guess takes many generations, to give a sense of the timescales involved.
The weaknesses are considerable and include the inability to go backwards (beneficial changes can be lost as well as gained) and the existence of a single specific end goal (the unknown word), rather than this being a continual process without set targets. It also ignores the possibility that a beneficial mutation does not spread throughout the species.
I very much doubt this is an original suggestion, but it seemed a handy simplification of the "password-guessing" analogy I was just reading about in Dawkins' "The Blind Watchmaker". Any comments or alternative methods would be welcome (I'm still not very widely read on the subject of evolution so I'm sure others have put it more clearly than I could).
Thanks for your time.
David