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Re:Kevin Kelly's 2016 AI Predictions, 10 Years Later by furyofantares on Tuesday October 13, 2026 @01:27AM (#50067137)
If you're putting a book out there of predictions it's probably trying to inform people of something they don't see coming, something they would have guessed much less than 50% while you think you have special knowledge to impart that it is indeed more likely to happen than they think.

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.

Re:Kevin Kelly's 2016 AI Predictions, 10 Years Later by kqr on Tuesday October 13, 2026 @05:45AM (#50069105)
> the president's name will start with a letter in the first half of the alphabet

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.

Re:Kevin Kelly's 2016 AI Predictions, 10 Years Later by vigilantpuma on Tuesday October 13, 2026 @01:43PM (#50075669)
> But I just realised English letter frequencies have 54 % of the probability mass in the first half of the alphabet

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%.

Re:Kevin Kelly's 2016 AI Predictions, 10 Years Later by furyofantares on Tuesday October 13, 2026 @03:39PM (#50077443)
I knew the middle of the alphabet wouldn't be the correct cut but figured people would get the gist.