Oh come now, we can easily do this with any number of celebrities without any need to have anyone enter their personal details. Like, we can enter both Emma Watson and Emma Thompson--same name, same birthday--and then see how things go, eh?

What's your distance metric for "relevant to many themes of your life"? What is the expected distance for a random pick, and what's the distribution?

For instance, you can make this all precise with word-cloud analysis of different famous people, using a simple language model (don't need GPT-3; even -1 should suffice for this kind of thing) for similarity of word cloud entries to chart entries, and then using causal analysis to figure out which variables if any explain any statistical deviations from the null hypothesis.