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data is neither fair not unfair. It is collected or not. The collection has a bias or doesn't. It's not fair to count the number of haskell applications compared to pdp-11 assembly language apps to prove the superiority of soft cheese over those hard cheese heretics! Counting however is just counting. Once counted inference can be drawn, debated, rejected, alternative hypotheses advanced. All better done in the presence rather than absence of data, no?

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I just meant the interpretation of the data is not fair if you say "not many practical applications are made with Haskell, so it's not a practical language".

So yes, collect the data of "how many practical applications are there in X language", but also collect the data that show why X language is picked, and the results ( quality, bugs, maintainability, etc ) That's very hard to do though.

Did anybody other than you make that interpretation?

I did. I can't imagine anybody other than you made your interpretation, as the asking for data was clearly intended into subsidizing a specific conclusion.

State your assumptions clearly. It helps. What conclusion is being drawn by who before the data is collected?

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