AB,
if it happens once, it is an unlikely event.
if it happens twice, it is an amazing phenomenon.
if it keeps on happening again and again - it is undoubtedly an intended sequence of …events.
The history of evolution is populated with countless such events.
Your ignorance of the base rate fallacy is letting you down here. If we stick with the analogy…
…do you know the odds of rolling a die ten times and getting ten sixes? They’re 1: 60,466,176. Pretty high right? So high in fact that it’s hard to imagine such a thing happening by chance don’t you think?
What would happen though if you ran the same trial ten times? Well, the odds would reduce accordingly – ie, to 1: 6,046,617.6.
How about running the trial 100 times? Yep, they reduce again to 1: 604,661.76.
Can you see where this is going? If you run the trial often enough, at some point scoring ten sixes in a row becomes more
likely than it is
unlikely.
This is your base rate error. You’re looklng at information pertaining only to a specific event (eg, a cell occurring with just one “trial”), and ignoring the (much more important) background information pertaining to general prevalence (ie, the number of opportunities for a cell to occur given the number of “trials”). What you should be doing instead is i
ntegrating the two data sets so the resulting data becomes meaningful.
And when you do, what does biology teach us about this? Yep, that the number of “trials” – ie, random mutations involved – is very large, not only as an absolute number but happening concurrently wherever those mutations occurred.
Do you understand the base rate error now, and more to the point where you went wrong by committing it?
In the (probably unlikely, but hey-ho – I live in hope) event that you do understand it, I’ll move on next to the other invalid reasoning in which you’ve wrapped yourself.