Ichneumonwasp
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- Joined
- Feb 2, 2006
- Messages
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Most people don't think non-uniform or skewed distributions are non-random. Just listen to them use the word. They will say movement in monopoly is random, and it is non-uniform (7 being more likely than 2 or 12). They will call mutation random, but different mutations have different probabilities. I can think of at least two people who have given me the "uniform" definition of random in a discussion, only to later refer to non-uniform processes as random.
It seems that some people will state a definition that requires uniform distribution, but it seems incredibly few people actually use the word this way.
Walt
And what you did again was to take one word in my sentence above out of context and twist into something that I did not say, as in your last reply to me.
What I said was the we use the word non-random to refer to non-uniform skewed distributions -- as in the loaded die. When the distribution is highly skewed we tend to think there is a reason behind it, some bias that causes skewing of the data. That is what we call non-random. I most emphatically did not say that non-uniform was the definition of non-random. Bell-shaped distributions are non-uniform but many people consider the cause of bell-shaped distributions random. You concentrated on the word non-uniform but the entire emphasis of my posts concerned the word 'skewed' and skewed data is generally non-uniform.
I don't mean to pick on you Wayne, but all of your recent replies lead me to believe that neither side here is listening to the other and only trying to gain-say.
I think this shows that our current language is inadequate to describe this process, and I am now more convinced that the introduction of mathematical terms into biology creates more confusion than it cures. I'll try to explain more later, but the technical, mathematical definition of 'random' is all wrong for biology.