Summations Only

And your evidence for that is????Oh, in framing your answer it might be advisable to study the scientific evidence for millions of years and have some evidence-based refutation. Opinions and "thoughts" don't count for much.

No, it doesn't. The evidence is overwhelming in one direction, and that is an old earth.I have personally obtained probably 200 radiocarbon dates older than the claimed date of the flood, and quite a few older than the young earth claims. Every "explanation" I've seen from young earthers as to why these dates are older than their belief claims I have found to be abject nonsense. So, you don't just get to claim radioactive decay dating is "fantasy." You have to present evidence.If you disagree, there are other threads here devoted to this subject where you can present your evidence. But beware, there are a few of us here who actually work with radiometric dates and have some real knowledge of the subject. Perhaps you need to read those threads first and save us the pain of repeating refutations for the nth time.

Your post shows you know nothing about radiocarbon dating.Stay away from those creationist sites: they lie to you.

It has been pointed out to you that this is not the case for radiocarbon dating.Radiocarbon dating makes absolutely no use of a daughter product.Are you not reading the posts we make, or are you so firm in your delusions that nothing we say, and no evidence we present, will make any difference to you?

A model is a simplification of reality, designed to test assumptions and hypotheses against evidence (reality).It is possible, and actually very common, to have models that disagree with one another completely. Just because you have crafted a model does not mean it reflects reality. Creating a model is just an early step in the process.Next you have to evaluate the predictions and necessary conclusions of the model against the real world. To the extent that those match the evidence from the real world the model, and its assumptions, are supported (not proved!). To the extent that the predictions and necessary conclusions of the model do not match the real world the model and its assumptions are disproved. Some models can be adjusted to better fit the evidence, while others may be hopelessly wrong and need to be scrapped.So, it is good that you have formulated a model! That's a very good first step. But one can't just assume that a model is 100% accurate. It needs to be evaluated against reality.