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It worked on me, and I would be shocked if my blog (dmd.3e.org) has more than a dozen readers. I am stunned.

It's not about the readers, just the fact that there's enough of a sample that it can use, with sufficient differentiation from other content.

I’ve posted on average 3 things a year.

There are ~8 billion people. Sounds big, but it's only 2^33. Ie if you can find 33 things about the text which halve the number of possible writers, you have narrowed it down to 1 person.

Just a couple more things and you can accommodate some of your things being mistaken/wrong/uncertain too.

Sure the cardinality is high, but the model isn't using a uniform prior. What do you suppose all the the values in each of the terms are, P(Text sample | Kelsey Piper) * P(Text sample) / P(Kelsey Piper)?

Maybe it just says all writing is Kelsey Piper.