I use "Black Swan" in the context of the whole book. That is, we build narratives after-the-fact to explain correct priors as skill and judgment. Also, the greater impact of more uncertain decisions, in a way that ties uncertainty to the impact, is exactly the nature of unknown-unknown black swans (which I'd say the launching of a substantially new product category fits into, in a mild form. The iPod/iTunes was not a black swan for Apple, though they took considerable risks with it. It was a black swan for the music industry.).
Market research is better than nothing, but still has many problems. Most of it wouldn't pass peer review, and we know peer review makes plenty of mistakes. So when taking it into account, decision-makers must apply strong priors.
And on the occasions that market research really is that good, it's a no-brainer; your competitors will do it too.
I use "Black Swan" in the context of the whole book
Please don't take terminology with fairly precise meaning and use it idiosyncratically. At best, you unnecessary increase your inferential distance. At worst, you dilute the term so that it increases everyone's inferential distance.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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