Don't be so picky. The point is it's a semantic argument, and pointless.
But if you insist: a Hawaiian and an Inuit are in New York on a spring day:
"It's cold!" "No, it's warm!" "No, it's cold!" "No, it's warm!" "No, it's cold!" ...
Happy now?
I think there is a tiny thread of truth to what you say, everyone looking at the same problem from a different angle and seeing a different solution. However, once I started reading mijo's position and looked into all that probability/stochastic mathematical modeling mijo was applying to the tiny random component of evolution, it became apparent that his mathematical model really did not apply to evolution mechanisms.
I started thinking about how a particular allele spread throughout the population. A random mutation occurs, the offspring inherit it, there can be additional mixing and so on. I was looking at the delta CCR5 also known as the CCR5 deletion. It has been shown to increase resistance to HIV by altering the surface protein which the HIV must bind to to enter the human white blood cell. At first it was thought to have been amplified a thousand or so years ago when it provided an advantage against yersinia pestis (the plague). Then it was hypothesized to actually have emerged 5,000 years ago and perhaps was amplified as it provided an advantage in resistance to small pox. But the latest research is showing the distribution is actually probably one of normal dissemination with no amplification.
So that did suggest that the acquisition of the CCR5 deletion was random. It arose spontaneously as a random mutation and was disseminated via inheritance. So I was now left with the question, why did that not make sense in terms of selection pressures making evolution non-random? And I then thought of the 6 billion different genomes give or take in the human population which all contained random variations in genetic code. Again, that makes no sense considering we are all still human, two legs, two eyes, same circulatory systems, muscular systems, and so on. Species are not evolving right and left from these random changes. Sometimes species remain stable for long periods of time. When species do evolve, they do so in single directions at a time. This is not suggestive of a random process.
While there is a pool of random genetic patterns within the human population, and there is a range of variation, albeit how narrow or wide that distribution of variation is is relative to what you are comparing it to, there are still so many consistencies within species, and so many consistencies in the directions evolution takes, random just does not describe the result.
In other words, random describes the input but not the output. The mathematical model mijo tries to apply because there is random input (though it turns out the input is a lot less random than we at first thought), does not in fact apply. In mijo's mathematical model and in the analogy Wayne used describing random numbers in meant random numbers out, the results of such a model were you to apply it in a computer program, would either fail to give you what evolution gives us, or it would give you (if you put the proper natural selection criteria in) predictable results. And random systems are not supposed to be predictable.
Mijo is taking a mathematical model which at first glance looks like evolutionary process, but upon closer testing, fails to describe evolutionary processes. The genetic mutations may indeed be random. But the processes of evolution take that pool of random nucleic acid substitutions and very specifically determines what is going to occur with those random genetic changes. So a better model is something akin to a random number generator that continually supplies numbers so that the ones you need when change is required will be in the pool. The random number generator is a tad inefficient, because it generates numbers you will never need and you have to continually clean those out, so to speak. But the benefit is the numbers you do need continually appear. That gives you a predictable supply of genetic code to meet the unpredictable circumstances that the organism may be faced with.