Frankly, your questions were irrelevant...
In whose judgment? It's my rebuttal. I get to say which questions are relevant to my rebuttal.
you seem stuck on the idea that you need qualifications to debunk Damon et al. It's the science and data.
Qualifications matter in science. Casabianca has no qualifications or experience in the relevant sciences. That's an important point. His coauthors have qualifications only in statistics, but not in radiocarbon dating or archaeology. The Casabianca paper is not well received in the field. That's a fact. I'm attempting to tell you why that is.
You are just making adhom attacks on Casabianca, instead of addressing the science and data in their paper.
I am very much attempting to address the science and the data in the Casabianca paper. The paper attempts to make an argument purely from statistics—the only field in which at least some of the authors are qualified. I'm attempting to point out why that statistical argument is not convincing to people qualified in radiocarbon dating and archaeology. Don't you think that's the least bit relevant?
My understanding and interpretation are irrelevant.
No.
All throughout this thread you have maintained that little if any of the contravening evidence is important because the carbon-14 heterogeneity is the trump card. The chi-squared claims from Casabianca are the smoking gun. You fringe-reset on it. You pivot to it every time you are cornered.
You consider it evidence that cannot be rationally refuted. It's frankly almost all you talk about. Therefore we're going to explore
your understanding of it, to see if
you understand how important it really is.
More importantly, I've already given you my rebuttal of Casabianca, and you didn't understand it. So to continue, exploring
your understanding of the underlying statistical claims is essential to determining whether
you're capable of understanding the rebuttal. You can cooperate with a test of
your understanding of Casabianca or you can concede that you are unequal to the task of defending him.
Choose.
I can only conclude that your knowledge in this area is insufficient to debunk the Casabianca paper.
...says the person who sent us to an irrelevant explanation of Pearson and is now frantically trying to avoid answering questions about statistics.
It's a very simple question: where did the 95% confidence interval come from? Why do Casabianca et al. consider it the gold standard?
I'll give you a hint. Earlier you said that Casabianca used the 95% confidence interval because Damon et al. used the 95% confidence interval. But that's not quite true. While they reported the chi-squared test for outliers according to the 95% interval in accordance with Ward & Wilson, Damon also reported the dating interval to the 68% confidence interval and found that while the date range was a little larger, the dates all fell within it. Why 95%? Why 68%? Why those oddly specific numbers?
Now anyone who has had even first-year statistics can tell you why. You can't, and that's a huge red flag for the question of whether you understand either Damon or Casabianca enough to determine which one is more credible. And when you think about it, you can understand why a bunch of statisticians would underscore those particular numbers. But the answer is more than just chi-squared. I'll explain it to you as soon as you stop bluffing.