Sorry, this triggered my fact-checkitis. I opened Wikipedia's list of presidents of the US and ran this in the web developer console:
Array.from(document.querySelectorAll(
'#mwgA tr > :nth-child(3) span[data-sort-value]'
))
.map(x => x.getAttribute('data-sort-value')[0])
.reduce(({total, firstHalf}, c) => ({
total: total+1,
firstHalf: c < 'N' ? firstHalf+1 : firstHalf
}), {total: 0, firstHalf: 0});
and it responded Object { total: 47, firstHalf: 31 }
Then I used Agresti and Coull's method for a 95 % confidence interval around this (add two successes and two failures, compute Wald interval as usual). That gives us 65 % ± 13 %
In other words, the 95 % confidence interval of the proportion lies in the span from 52 % to 78 %. That is significantly different from the null hypothesis.I didn't expect it, but we might actually have reason to believe US presidents more often than not do have names starting with letters from the first half of the alphabet.
Edit: But I just realised English letter frequencies have 54 % of the probability mass in the first half of the alphabet, so that's probably a better null hypothesis than the even split. It's also compatible with the actual presidential statistics.
But what about English first-letter-of-the-word frequencies?
Edit: asked ChatGPT to analyze this for me. Without verifying its work, looks like ~60% of English words (taken as a list of unique words) start with a letter in the first half of the alphabet, but if you look at a corpus of writing, it’s closer to 51%.
Nobody would buy a book predicting the price of bitcoin in 10 years will end in an even number, or that the president's name will start with a letter in the first half of the alphabet.
But if someone says here's some wild sounding stuff that I have good reason to believe is coming, that's more interesting.