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1) The "analysis" is just as broken as it was in February.

The "popularity" of most of those languages is being grossly distorted when you convert the "# of Tags" and "# of Projects" data to rankings.

The range in rank value for the stackoverflow tags was from 1 to 56, but the range in "# of Tags" that rank is based upon was from 0 to 82,923 and the data was so skewed that only 11 of 56 languages had above average "# of Tags".

Haskell was well below average for "# of Tags" and Java was well above average for "# of Tags" --

  #56 Java = 82,923
  >>> mean = 18,770 <<<
  #40 Haskell = 1,896
  # 1 F# = 0
(The story was the same for the github "# of Projects" rank numbers.)

2) Which gives rise to this kind of bad-math "analysis" --

"Go jumping from #32 in 2010 to #30 today, a number that sounds modest but means that in that time it has improved more in popularity than Scala or Haskell and as much as Java, at least from a rankings standpoint (obviously growth becomes more difficult the more popular the language becomes)."



90% of Tags were for just 10 languages.

50% of Tags were for just 3 languages.

The cumulative bottom 1% of Tags were for 31 different languages (including Haskell and Go).




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