As I noted, opinions were split, with ~55% "sounds good", ~25% "sounds ok", and ~20% "sounds wrong or confusing" for each. For people who liked one of these four, they also had a preference for its minor variations, but felt average for the other three.
-"big oh of n squared" did have an edge, which I think is at least partially due to the fact that I used O(n²) when writting about the topic. In a proper experiment, I would have interviewed people verbally and used a random term to introduce the topic.
+"big oh of n squared" did have an edge, which I think is at least partially due to the fact that I used O(n²) when writing about the topic. In a proper experiment, I would have interviewed people verbally and used a random term to introduce the topic.
There weren't any words that stood out as universally disliked, although a few awkward combinations rounded the bottom with 60% "sounds wrong or confusing." I would recommend using one of the above, or a variation, which is still about 20 options.
-That is the high level overview. If you want to see all the words and their vote percentages, they are [here](/on2/on2-vote-detailed-analysis.txt).
+That is the high level overview. If you want to see all the words and their vote percentages, they are [here](/on2vote/on2-vote-detailed-analysis.txt).
Natural language sure can complicate things. Looking at data can give us some insights though. I wonder how preferences will change in 5 or 10 years.