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Dave
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Feb 24, 2013 09:35AM

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For example, if I take a reading of Carbon 14 in a sample of biomatter, I can use science to measure how much C14 is in the biomatter today. But the number that I get doesn't tell me anything. It is just a number. I have to Interpret the number to assign an age to the biomatter. In order for the reading to have meaning, I need to know some things. First off, I need to know how much C14 was in the organism at the time it was alive. I have no way of knowing that. So I have to assume some variables. I have to assume a certain absorption rate for the specimen and hope that it is similar to an extant analogous organism (an educated guess). I have to make a wild guess about what the conditions were when the organism was alive, namely, how much C14 was in the atmosphere at the time the specimen was alive. It would also help to know how long the organism was alive (how long it was absorbing C14). It would be good to know if the specimen was at all discriminating (some plants for instance, resist C14). Next, I'll assume no contamination after the specimen died. Last, I have to assume that the decay rate of C14 is a constant, but as it turns out in recent discoveries, using science, that radioactive decay rates are not constant after all (google "radioactive decay rate not constant". Things like solar activity can speed up the decay rate.)
[It is worth noting that the last mentioned issue invalidates all possible measurements I might make now. I can never know what events might have affected the decay rate since the organism was alive. Any number I come up with with be wrong, even if I somehow knew for sure all the variables mentioned. In fact, it invalidates any dating technique that relies on radioactive decay, and automatically means any existing derived dates are too old, that is, at least until someone finds some phenomena that can actually cause radioactive decay to slow down. In any case we can never trust even our best guesses.]
Now I have a host of variables that I need to plug into my formula to calculate the age of the specimen. Please note that All of the values except the actual measurement of the amount of C14 in the specimen today are Guesses. They cannot be otherwise. So how do I determine what numbers to plug into my formula? Well, if I am an evolutionist, I will naturally assume it is very old, and I will, as the theory requires, assume a very different environment than today -- one that is Very rich in C14, for instance. With this assumption (and others) and the numbers I plug into the formula, I get a very old age for the specimen. Maybe even close to 100,000 years old (of course, this is the upper threshold for Carbon 14 dating, for it doesn't matter how much C14 you had to start with, given a decay rate [even at a constant rate] of ~5730 years, after 100,000 years, there would be so little left that you could scarcely detect it. C14 cannot be used to measure anything beyond 100,000 years. If anyone says C14 dating gave a date beyond that, they are confused at best.) Now if a creationist plugs in different numbers based on their model, they get a much younger age for the specimen.
This type of activity is required if a scientist is going to attempt to predict ancient events that are not observable. It is inescapable. All scientists must Interpret scientific data based on a presupposition in order to do so.
So the question isn't which is truly Science: creation science or evolutionary science? Neither is Science by your definition. Both use Science, but Both are based on guesswork -- guesswork that is based on a theoretical origins model -- so neither is "knowledge." The real question is... which origins model do you choose to put your faith in?

As to your final question, which origins model do I put faith in? Why, the one that deals in reality, on science analysis, thought, observation and intellect. The model based on ancient book of fantasy stories I reject wholesale, just as I reject the one based on the myths and legends of ancient Norsemen.

This is a quote from a real scientist (one not engaged in research related to evolution) which I think answers your original question.
